{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9d95366c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.express as px\n",
    "import pickle\n",
    "import json\n",
    "from time import perf_counter\n",
    "from sklearn.metrics import (\n",
    "    accuracy_score,\n",
    "    precision_score,\n",
    "    recall_score,\n",
    "    f1_score,\n",
    "    roc_auc_score,\n",
    "    average_precision_score,\n",
    "    classification_report,\n",
    "    confusion_matrix,\n",
    "    roc_curve,\n",
    "    precision_recall_curve,\n",
    "    auc,\n",
    ")\n",
    "from sklearn.preprocessing import label_binarize"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "967e9399",
   "metadata": {},
   "source": [
    "### LightGBM Baseline (default params)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b0dcebb",
   "metadata": {},
   "source": [
    "Load Data yang Sudah di-Standarisasi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4b9e4c2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading standardized test dataset only...\n",
      "Loaded test dataset: (4000000, 25)\n",
      "\n",
      "Test data ready:\n",
      "X_test shape: (4000000, 24), y_test shape: (4000000,)\n",
      "Target classes in test: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]\n",
      "Data type: float32\n"
     ]
    }
   ],
   "source": [
    "print(\"Loading standardized test dataset only...\")\n",
    "\n",
    "# Load only the standardized test dataset\n",
    "test_data = pd.read_csv(\"../dataset_splitted/test_split_scaled.csv\")\n",
    "print(\"Loaded test dataset:\", test_data.shape)\n",
    "\n",
    "# Separate features and target for TEST ONLY\n",
    "target_col = \"category\"\n",
    "X_test = test_data.drop(columns=[target_col]).values.astype(np.float32)\n",
    "y_test = test_data[target_col].values\n",
    "\n",
    "print(\"\\nTest data ready:\")\n",
    "print(f\"X_test shape: {X_test.shape}, y_test shape: {y_test.shape}\")\n",
    "print(f\"Target classes in test: {sorted(np.unique(y_test))}\")\n",
    "print(f\"Data type: {X_test.dtype}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93c677a8",
   "metadata": {},
   "source": [
    "### Metrik Eval LightGBM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1ff03279",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Helper: evaluation metrics and curves for multiclass with timing\n",
    "def evaluate_multiclass(y_true, y_proba, set_name, class_names, plot_curves, evaluation_time=None):\n",
    "    \"\"\"\n",
    "    - y_true: integer-encoded labels, shape (n_samples,)\n",
    "    - y_proba: predicted probabilities, shape (n_samples, n_classes)\n",
    "    - class_names: list/array of original class names in index order\n",
    "    - evaluation_time: time taken for evaluation in seconds\n",
    "    \"\"\"\n",
    "    n_classes = len(class_names)\n",
    "    y_true = np.asarray(y_true)\n",
    "    y_pred = np.argmax(y_proba, axis=1)\n",
    "\n",
    "    # Basic metrics (weighted)\n",
    "    acc = accuracy_score(y_true, y_pred)\n",
    "    prec = precision_score(y_true, y_pred, average='weighted', zero_division=0)\n",
    "    rec = recall_score(y_true, y_pred, average='weighted', zero_division=0)\n",
    "    f1 = f1_score(y_true, y_pred, average='weighted', zero_division=0)\n",
    "\n",
    "    # Binarize for AUROC/AUPRC\n",
    "    y_true_bin = label_binarize(y_true, classes=np.arange(n_classes))\n",
    "\n",
    "    try:\n",
    "        auroc = roc_auc_score(y_true_bin, y_proba, average='weighted', multi_class='ovr')\n",
    "    except Exception:\n",
    "        auroc = np.nan\n",
    "    try:\n",
    "        auprc = average_precision_score(y_true_bin, y_proba, average='weighted')\n",
    "    except Exception:\n",
    "        auprc = np.nan\n",
    "\n",
    "    # Output with timing information\n",
    "    print(f\"=== {set_name.upper()} METRICS ===\")\n",
    "    print(f\"Accuracy: {acc:.4f}\")\n",
    "    print(f\"Precision (weighted): {prec:.4f}\")\n",
    "    print(f\"Recall (weighted): {rec:.4f}\")\n",
    "    print(f\"F1 (weighted): {f1:.4f}\")\n",
    "    if not np.isnan(auroc):\n",
    "        print(f\"AUROC (OvR, weighted): {auroc:.4f}\")\n",
    "    else:\n",
    "        print(\"AUROC (OvR, weighted): N/A\")\n",
    "    if not np.isnan(auprc):\n",
    "        print(f\"AUPRC (weighted): {auprc:.4f}\")\n",
    "    else:\n",
    "        print(\"AUPRC (weighted): N/A\")\n",
    "    \n",
    "    if evaluation_time is not None:\n",
    "        print(f\"Evaluation Time: {evaluation_time:.6f} seconds\")\n",
    "\n",
    "    # Classification report in original labels\n",
    "    y_true_labels = [class_names[i] for i in y_true]\n",
    "    y_pred_labels = [class_names[i] for i in y_pred]\n",
    "    print(\"\\nClassification Report:\")\n",
    "    print(classification_report(y_true_labels, y_pred_labels))\n",
    "\n",
    "    if plot_curves:\n",
    "        # Per-class ROC & PR\n",
    "        fpr, tpr, roc_auc = {}, {}, {}\n",
    "        prec_c, rec_c, pr_auc = {}, {}, {}\n",
    "        \n",
    "        for i in range(n_classes):\n",
    "            fpr[i], tpr[i], _ = roc_curve(y_true_bin[:, i], y_proba[:, i])\n",
    "            roc_auc[i] = auc(fpr[i], tpr[i])\n",
    "            prec_c[i], rec_c[i], _ = precision_recall_curve(y_true_bin[:, i], y_proba[:, i])\n",
    "            pr_auc[i] = auc(rec_c[i], prec_c[i])\n",
    "\n",
    "        # Per-class ROC & PR\n",
    "        # ROC Curves - Per Class\n",
    "        plt.figure(figsize=(9, 7))\n",
    "        plt.plot([0, 1], [0, 1], 'k--', lw=1)\n",
    "        for i, name in enumerate(class_names):\n",
    "            plt.plot(fpr[i], tpr[i], lw=1, label=f\"{name} (AUC={roc_auc[i]:.3f})\")\n",
    "        plt.xlabel('False Positive Rate')\n",
    "        plt.ylabel('True Positive Rate')\n",
    "        plt.title(f'ROC Curves (Per Class) - {set_name.title()}')\n",
    "        plt.legend(loc='lower right', fontsize='small')\n",
    "        plt.tight_layout()\n",
    "        plt.show()\n",
    "\n",
    "        # Precision-Recall Curves - Per Class\n",
    "        plt.figure(figsize=(9, 7))\n",
    "        for i, name in enumerate(class_names):\n",
    "            plt.plot(rec_c[i], prec_c[i], lw=1, label=f\"{name} (AP={pr_auc[i]:.3f})\")\n",
    "        plt.xlabel('Recall')\n",
    "        plt.ylabel('Precision')\n",
    "        plt.title(f'Precision-Recall Curves (Per Class) - {set_name.title()}')\n",
    "        plt.legend(loc='lower left', fontsize='small')\n",
    "        plt.tight_layout()\n",
    "        plt.show()\n",
    "\n",
    "    return {\n",
    "        'accuracy': float(acc),\n",
    "        'precision_weighted': float(prec),\n",
    "        'recall_weighted': float(rec),\n",
    "        'f1_weighted': float(f1),\n",
    "        'auroc_weighted_ovr': None if np.isnan(auroc) else float(auroc),\n",
    "        'auprc_weighted': None if np.isnan(auprc) else float(auprc),\n",
    "        'evaluation_time': evaluation_time\n",
    "    }\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0870be19",
   "metadata": {},
   "source": [
    "### Test 1: Baseline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "99466ada",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading saved model...\n",
      "Model loaded successfully!\n",
      "Model loading time: 0.299599 seconds\n",
      "Model type: LightGBM\n",
      "Number of features: 24\n",
      "Number of classes: 17\n",
      "Best iteration: 64\n",
      "\n",
      "Predicting on test set...\n",
      "=== TEST METRICS ===\n",
      "Accuracy: 0.6852\n",
      "Precision (weighted): 0.6943\n",
      "Recall (weighted): 0.6852\n",
      "F1 (weighted): 0.6759\n",
      "AUROC (OvR, weighted): 0.9300\n",
      "AUPRC (weighted): 0.7630\n",
      "Evaluation Time: 45.128478 seconds\n",
      "\n",
      "Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.66      0.36      0.47    377220\n",
      "  Analytics & Telemetry       0.70      0.43      0.53     35297\n",
      "              Antivirus       0.90      0.72      0.80    120537\n",
      "Authentication services       0.74      0.53      0.62    145222\n",
      "           Blogs & News       0.61      0.34      0.44     21033\n",
      "             E-commerce       0.56      0.31      0.40     40984\n",
      "           File sharing       0.84      0.56      0.67     73685\n",
      "                  Games       0.74      0.44      0.55     36482\n",
      "    Information systems       0.39      0.24      0.30     13874\n",
      "      Instant messaging       0.80      0.53      0.64    148530\n",
      "                   Mail       0.88      0.90      0.89     64226\n",
      "                  Music       0.79      0.66      0.72    146596\n",
      "Other services and APIs       0.65      0.82      0.72   1019297\n",
      "                 Search       0.80      0.53      0.64    273102\n",
      "                 Social       0.68      0.70      0.69    547485\n",
      "        Streaming media       0.66      0.80      0.73    934513\n",
      "      Videoconferencing       0.24      0.31      0.27      1917\n",
      "\n",
      "               accuracy                           0.69   4000000\n",
      "              macro avg       0.68      0.54      0.59   4000000\n",
      "           weighted avg       0.69      0.69      0.68   4000000\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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vkI5zzjkHTdO46aabmDt3bt95NU2TM844gx/84Af73EdvEHMg6urqOO2006itreU3v/kNVVVV2Gw2XnjhBe6+++6DTkOxL7W1taxevZpMJvOx0lMMNIDNvmqu7HY7559/Pk8++SR/+MMfaGtrY8mSJfznf/5n3zK9x3bjjTcyf/78fW572LBhQC69Rl1dHU8//TSvvPIKf/7zn7n77rv54x//yLXXXjtgmXv71gWDwb1ubAAUFhYOOChLb/kuu+wyrrjiin0u8+Eg80Bq8YC+AXDWrVvXN7jPwTjQ742iKDz++OMsW7aMZ599lpdffpmrr76au+66i2XLluHxeA7qb7P3hklhYeGAZXvkkUe46qqr+k0bKMj+KAf6u3QgxylJ0meXDPIkSfrMGjp0KK+++iqzZs3a74Xq0KFDAVi/fn3fBfiBstlsLFy4kIULF2KaJtdffz333XcfP/3pT/e5rUGDBgGwefPmvlFCe23evLlv/sF46KGHSCaTfe+HDBmy3+V//OMf86c//Ymf/OQnvPTSS0DuHMRisY8csXHo0KG8/PLLdHd3D1ib9+yzz5JOp3nmmWeorq7um97bDO1wWLhwIUuXLuWJJ54YMI3GngKBwF7J0TOZDC0tLQe13y984Qv89a9/5d///jcbN25ECNHXVBN2n3ur1XpAo1/m5+dz1VVXcdVVVxGLxTj55JO55ZZb9hvk9QZTO3bsOOg8h0VFRXi9XgzDOODROQ/UwoULuf322/n73/9+SEHewX5vZsyYwYwZM/jlL3/JP/7xD770pS/x8MMP9527A/3b3LFjB4WFhfu96TN//vyDapa9Pwf6u9Rrf8e5v9pHSZKOb7JPniRJn1mf//znMQyDX/ziF3vN03W976J/3rx5eL1ebr/9dlKpVL/l9ne3vrdvVC9VVftqQdLp9D7XmTp1KsXFxfzxj3/st8yLL77Ixo0bOfvssw/o2PY0a9YsTj/99L7HRwV5eXl5XHfddbz88susXr0ayJ2rpUuX8vLLL++1fCgUQtd1IJdXTAjRl4B5T73nqrf2cc9zFw6HeeCBBw762Abyta99jbKyMr7//e+zZcuWvea3t7dz22239b0fOnRoX7/CXvfff/9Bp6I4/fTTyc/P55FHHuGRRx5h+vTp/ZozFhcXc8opp3DfffftM4Ds6Ojoe/3h74/H42HYsGEDfnd6TZkyBZvN1i9lxYHSNI2LLrqIJ554ol/Kh32V72DNnDmTBQsW8Oc//3mfo1VmMhluvPHG/ZYNPvp7EwwG9/q7nDhxIrD77+5g/jbff/99Zs6cuZ8jg7Kysn5/Yx8nQD7Q36UDOc7eUYQ/fANDkqTjn6zJkyTpM2vOnDlcd9113H777axevZp58+ZhtVrZunUrjz32GPfccw8XX3wxPp+Pu+++m2uvvZZp06bxxS9+kUAgwJo1a0gkEgM2vbz22mvp7u7m1FNPpbKykvr6en73u98xceJERo0atc91rFYrd9xxB1dddRVz5szh0ksv7UuhUFNTw3e/+90jeUr6fPvb3+a3v/0tv/rVr3j44Yf5j//4D5555hnOOeccrrzySqZMmUI8HmfdunU8/vjj7Ny5k8LCQubOncuXv/xl/vu//5utW7eyYMECTNPkrbfeYu7cudxwww3MmzevrxbluuuuIxaL8ac//Yni4uKDrjkbSCAQ4Mknn+Sss85i4sSJXHbZZUyZMgWAlStX8s9//rPfhfu1117L1772NS666CLOOOMM1qxZw8svv7zfJnr7YrVaufDCC3n44YeJx+P7zPv2+9//npNOOolx48bxla98hSFDhtDW1sbSpUvZtWsXa9asAWD06NGccsopTJkyhfz8fFasWMHjjz/ODTfcsN8yOBwO5s2bx6uvvsrPf/7zgyo/wK9+9SsWL17MCSecwFe+8hVGjx5Nd3c3K1eu5NVXX6W7u/ugt9nrb3/7G/PmzePCCy9k4cKFnHbaabjdbrZu3crDDz9MS0vLgLnyDvR789e//pU//OEPXHDBBQwdOpRoNMqf/vQnfD4fZ511FnDgf5vt7e2sXbv2sKT1OFAH+rt0IMfpdDoZPXo0jzzyCCNGjCA/P5+xY8cedP9iSZI+hY7GkJ6SJEmHQ+9w9vsbQlyIXKoBt9s94Pz7779fTJkyRTidTuH1esW4cePED37wA9Hc3NxvuWeeeUaceOKJwul0Cp/PJ6ZPny7++c9/9tvPnikUHn/8cTFv3jxRXFwsbDabqK6uFtddd51oaWnpW+bDKRR6PfLII2LSpEnCbreL/Px88aUvfakvJcRHHde+hp7fl950BL/+9a/3Of/KK68UmqaJbdu2CSGEiEaj4kc/+pEYNmyYsNlsorCwUJx44onizjvvFJlMpm89XdfFr3/9a1FbWytsNpsoKioSZ555pnj//ff7ncvx48cLh8MhampqxB133CH+8pe/CEDs2LGjb7lDTaHQq7m5WXz3u98VI0aMEA6HQ7hcLjFlyhTxy1/+UoTD4b7lDMMQP/zhD0VhYaFwuVxi/vz5Ytu2bQOmUNjfd27RokUCEIqiiMbGxn0uU1dXJy6//HJRWloqrFarqKioEOecc454/PHH+5a57bbbxPTp00VeXp5wOp2itrZW/PKXv+x3rgfyr3/9SyiK0pfaotegQYMOKC1DW1ub+MY3viGqqqqE1WoVpaWl4rTTThP3339/3zK93909U20ciEQiIe68804xbdo04fF4hM1mE8OHDxff/OY3+75rQuz7e3wg35uVK1eKSy+9VFRXVwu73S6Ki4vFOeecI1asWNG3nQP52xRCiHvvvVe4XC4RiUQO6hgPxodTKPT6qN+lAzlOIYR45513xJQpU4TNZpPpFCTpM0QR4hB7BkuSJEmSdEwyDIPRo0fz+c9/fp/N/qQDM2nSJE455RTuvvvuo10USZKkgyKDPEmSJEk6Dj3yyCN8/etfp6GhQY60eAheeuklLr74YrZv3z5gOgNJkqRjlQzyJEmSJEmSJEmSjiNydE1JkiRJkiRJkqTjiAzyJEmSJEmSJEmSjiMyyJMkSZIkSZIkSTqOyCBPkiRJkiRJkiTpOPKZS4ZumibNzc14vV4URTnaxZEkSZIkSZIkSTogQgii0Sjl5eWo6sD1dZ+5IK+5uZmqqqqjXQxJkiRJkiRJkqRD0tjYSGVl5YDzP3NBntfrBXInxufzHeXSSJIkSZIkSZIkHZhIJEJVVVVfTDOQz1yQ19tE0+fzySBPkiRJkiRJkqRPnY/qdiYHXpEkSZIkSZIkSTqOyCBPkiRJkiRJkiTpOCKDPEmSJEmSJEmSpOOIDPIkSZIkSZIkSZKOIzLIkyRJkiRJkiRJOo7IIE+SJEmSJEmSJOk4IoM8SZIkSZIkSZKk44gM8iRJkiRJkiRJko4jMsiTJEmSJEmSJEk6jsggT5IkSZIkSZIk6TgigzxJkiRJkiRJkqTjiAzyJEmSJEmSJEmSjiMyyJMkSZIkSZIkSTqOyCBPkiRJkiRJkiTpOCKDPEmSJEmSJEmSpOOIDPIkSZIkSZIkSZKOIzLIkyRJkiRJkiRJOo7IIE+SJEmSJEmSJOk4IoM8SZIkSZIkSZKk44gM8iRJkiRJkiRJko4jRzXIe/PNN1m4cCHl5eUoisJTTz31keu8/vrrTJ48GbvdzrBhw3jwwQePeDklSZIkSZIkSZI+LY5qkBePx5kwYQK///3vD2j5HTt2cPbZZzN37lxWr17Nd77zHa699lpefvnlI1xSSZIkSZIkSZKkTwfL0dz5mWeeyZlnnnnAy//xj39k8ODB3HXXXQCMGjWKt99+m7vvvpv58+cfqWJKkiRJkiRJkiR9anyq+uQtXbqU008/vd+0+fPns3Tp0qNUosMnm0wf7SJIkiRJkiRJknQcOKo1eQertbWVkpKSftNKSkqIRCIkk0mcTude66TTadLp3QFUJBI54uU8WA9+7yfM0k7iLWUxF805mfS2OiLtu4i17UK0tNN2+ni6Shy0jijAFCamMBEIDNMkaxikdYOMYaCbBrppYpgC3TQwTLPnvYEhcssLTEwhEJggBALRtz2BQPTM63tGIISJiYGm2PFoRahYUFD7lrOrPhQ0NMWKhgNVsWBVXNjwoGJDVaxo2FHQAA0VLTcdGwpaT3lACACBELnXovc1H3q/x/K559x7+i2TO7eK0vNA6XmtoABq7+ueeWrPcqrSf7lgIkNFnhOHVcNh1bBpKpqqYNEUVEXBoioUee0UeuxYNAWrpmLVVBxWFadVw2WzYNUUFEU5Ct8sSZIkSZIk6bPoUxXkHYrbb7+dW2+99WgXY7+i1lZMw2RsZgzN37+RoE8l5DQZ3JabP6iuiUGACVx1UxW6CboBuikABYSae6YnkBAKove9UPrmqYraN01h9/Q9X+9+r/UEZQpCC4GaQhEZ2pRIriSKgal1oZpuFExQdISSQWCgILAIC5rQ0Ewt9yy0XDAl1NwehIKKmns2HbkgUIBFuFCFHVXYUDCwCA8aFhShoQkLmnBiwYlFeFABFYHS+xD9X+eiPhOF3qjRxGKkyWpORM8ZErnIkJ6lMXrfAIZpYgO6EGhCJyGsCJH7HPYMPp1Klriw7fczVnuCPFMIHBawINBV2+6AUgEVBUVV0BQFTejEFSdui8C0ulBUDUVVEXYfFqcbTbOgWW1Y7Q68DisuWy6gdNpUSrwOCjx2yvIc2C0qNk2VQaYkSZIkSdJnyKcqyCstLaWtra3ftLa2Nnw+3z5r8QB+9KMf8b3vfa/vfSQSoaqq6oiW82BZrEk2BNuYlj+MP39hKrazRjGjdBYPr1d5/p12nKEw9//716jAX3/VSNLtIzxiHKFzLsYyZhxepxW33YJNU7FbVewWDbtFzV3gW3Lv96pNMk1IhSDRRTrcTrS7jUSkm1QsTDIeJZWIk0xnSWVNkrqPpA4h3UaeEs8FmSZkxVCyaGSxksXS99wXbH4MJiYoAqGQq31UDEyymMQRigAFVFVFKAJVVUEBq9WKpmrYLXbsFjsFrgJsFhuqqqKqKtFoFI+nrO88DPT84WmhUAiPxwPkag33fA6FQlgdLrJGrhbU7KlpNEQuoNON3tpSSGcNNE3FSMZQbE5MITBNsUfNZK5WVckkSQuNgBnGzGiAwGrsuzlvFqhTvMRNC3HTQsK0ksZCVmhEhZ00FpLCSgYNv9OG3ZKrabT1BH+Onu+Ly67hsGi47Rby3VZ8DitehwWvw4rPacXnsOBz5oLJQo8dt/1T9dMhSZIkSZL0mfKpulKbOXMmL7zwQr9pixYtYubMmQOuY7fbsdvtR7poH4tNVUiEE7S7Wvi8+TkoO4nv/Ws9dR1RrjlpDPPGlDD0nisI33sv8WXL4P33ca5aQumqJSg2G/6LLsQxejTW4mKs5eXYhg3LBSl6Gjo3kWhcR1vzTjo7O+mKxAkndaIZhSguorjJsPf50XDg1Gw4NBOnBWKmhYAL0Dw4LBpWiwWr1drzsGG12bHa7VjtTqw2JxYNrGYKq5nEaiSwZGNomShqJoqaiaCmQ6ixNtTQTlRTR3W4URUl9zodBFPfXb3WQxSPptNfxk67i5UiznojSkBzUi/S+O15RDCJGilaUl1EszHsip1SRyk+m488ex72Qjt+u588ex4BR4BiVzEBRwCH5qDIVYTP5sNlcaGp2if22R+MTCZDMBgknU5jGAYtLS0kEgnC4TDxeJxwOEwyFSYRj+97AwIUYUNkTRTNj8CGbi0iaQ+QNDUSaSsdsTSrGjJEUjqRZJaMYe5zUw6rSpnfSYnPzthyP2eNL2NMuQ+75dg8d5IkSZIkSZ8liuitkjgKYrEY27ZtA2DSpEn85je/Ye7cueTn51NdXc2PfvQjmpqa+Nvf/gbkUiiMHTuWb3zjG1x99dW89tprfOtb3+L5558/4NE1I5EIfr+fcDiMz+c7Ysd2MP5285fJW1FNV9UITvPX8K90PS8OquE3X5jAmHL/XsuLbJb09h3s/MIXEKlUv3kZq5XO4iLiwwvpDnhotxeQwNU332fRyXNpeN1OvF4fPp8fb14Bnvxi3IESHG4vTqcTq9V6xI97QEJAKgyxNkhFoH1DrtYxWA+RZoi35wJYIwPZVG65D9V0tXkKeW7QeLrzBxOyOYlkImTNLOF0mI5kB6F0iPQAtWNOi5N8Rz75jnxK3aUM8g2ixFXSFxx6bV6qvFV4bd5P4GQcPNM0icfjJBIJkskksViMrq4urFYr3d3dqKrKjh070DSVzs4WhNBRVQNFNVEVg0Agn5KSIkyRpaCwAI/fj6mqJLMGKSNLyhDE0hnC8W464la2tUeIplJoionbBj6HQp5TxW0HV897h0VgUU0cFoHbpuCy5ebZNBOEgRA6ptARPY90uh2HvSx3QAoYRgoQWC1+UFR0PYrbPRyEQSbbhc1aSE+PTOhpniuEjm4ksFkD/c5POtOB3Va81/IgeuYV9TTjNffx3NuX1SCT7sBmL4E999nzWgiTbLYbm7UAoGe9Pdff/SyEQTYbxGYryjWVVnLNptPpNhz2UoQw+u1XCLNnH0b/sgljj3IaPbXNJkLoZLMRNM2Bqvbe0BEfejLJZDqx20v7lQEgk+nAYS8HRUXpafKtZ8PYHWUoigVdj2C1BtBUO4piQQgD00xjtRWgKCoKKplsNw57GYqigaKh6xFstkJU1YaiaBh6AputEEXRECKLprnQLB4QAqs1gKJoWK35aJodUFEULbdtRUNRelsPKH3lk82TJUmSpOPVgcYyRzXIe/3115k7d+5e06+44goefPBBrrzySnbu3Mnrr7/eb53vfve7bNiwgcrKSn76059y5ZVXHvA+j8Ug7583X07xGxobay9jpK+NoRQT+NYEApVFH7muaN9M56IHWbdhG9vJo8lShlBU7KkU+V3dFBlZKmfOIM9iw5vJ4B4yBPeMGWjeYzNAOSRCQDIIwR2QCAICdrwJ6/8FkV1g88Koc+Ck70LRyL7VopkoHYkO4tk40UyUSCZCNBslmU3SleqiO9VNS7yFHeEddCW7MITRb7c+m48ydxlFriIqPBUUOYuo9FZS4amgwFlAmbsMi7p3Zblp6phmEt2IY+gJDCOOYSQwjASZTAea5sYUWYSZwTQzmCKLaWb2eJ/BNAeY3/PaNDMI0TO/d9me9XrniQ8dz+H/WBQMoWEKDd1UMYSGIVQMU8MUu9+DBZvFistmw2a1YaUb1VKEpmo4rCqqIkinW7DZigBBLLYFVbWgqk4ymXas1nxUxdoTmEBvv9JUuhmbrTgXWPTQ9TAAmubZHRD0BDW6HgEULBZvrj+q0hs0qHsED7n36XQrdnsxPT0pe+IhZY99t2C3l/Tsu7dPpPqhfeYCoFTftnojLkEm24WmOlE1Z0+g9OHyaP220RuA5V4rPcvnyiYQPUFkYd/Zyb3Yfb7S6ba++buDXnLl0Fw9wVcuUE2mmrDbChHCQNej6EYMi+bpC0CTyUbs9qK+YDSd7kBVraiqDSEMDCOBrkfRNGeuibKZPIzfOTCFiilUhOLCxIpuZLHZyskaOlZbBUJxkO80cdstWKw+VNWBaSRxOgehWdxYNDc2WwFaz7PNVtxzDmTgKEmSJB19n4og72g4FoO8x265kurnmlkx9SZecYe4W/ORCMQZ+6PzBl6p/h22v3wfS5sFWxmMRYGhZQFGjJvM4JFjcba00Hj1NRjh8D5X9y1ciHvmTLxnnH7EAz4zbWBGMxg9j2xbAtWmYSay6F1JUBWMSAbFpiGyBnpHEtVtxehO5Z7DaawlLlSPDdWhgaZiCThQ7CpCF5ixDIqmorqtCN1EpA0UpwVLwI7ZvBU1ugWl/g0c6VdRR82FiV+CwCAoGgXq/rOICGGi6zGyeoRoqoNwso1ououOeCOdiSYS6SDJTJBEJkRGj6CIDDZFYFfAoSr4rDa8FhsWdDQMNHQUkT3gc6coFhTF2lPjkXtWFRuKakXT7KiKFUW15ab3zFPV3Px+66i5UU5z8/ZerneeYSSxWP0oigVV0TBMCIdipNNZhFDQdUindRKJFLF4mEQijaFDOBwlHI4hhEIymUb0DQa0W15eHoqi4nB7UO0udKGhuAN0GzZWNSWpj6u0xzJ7nYMCt42A20a+20a+y0a+x5ab5rJR4LHhslnw9fQfdNs18pw2fE7LJ35RbpqCjGGSzpqkdYNUz3NaN0llc89p3SCdNdFNgWEKskbvaLgC3chN752nGwLdNPvNy60jekbOzS2z13ZMc/d0s2dUXQGaquQeirLXCLFav4eKRd09T1X7L2NRc0GtaQoMM9f31DAFRk8f097XCPA4LLn3ex6XmVtu90jAvcdh9pTdzI0UbORGEs6dBx3dMDBMBUOA0dMv2DBz/V0Ns+chDvwz99lTKJgo6LnRdTFRFAMVE0UxURWBQu5ZVXqaLSs2zJ4bFyY9waTQMMlNc1hVijx2/C43RV43NYVunFYNnzP3/cx323DZNLwOK06rRsBtlU2cJUmSpIMig7wBHItB3r9uuZoRj67g9ZN/wxtek58OzhKo92L/QhnFk4f3XzjaRsfTP+HFbTrbGUSp3860WacydsLEffY9FEKQ2bkTxWpFpNMkVq4k9PAj6F1d6K2tALhnzSLwpS/hmXMyinZgFxxCN8m2J8g0RlFUBTNjYEazGKEUejCNSOuIrIkRzSIye9cYKTYV1WnFTOlYAnZE1sRS6MRMGbngLG2g+WyYCR1LvoN0fYRMQzQX5AGoCsIQiKTet03VY8WM7R1ACUxMawLDEsewxhHWIKalG2HrwnAYCHca053FdBjoShLDmsVQougihm5EyY2nORAFRdgBO4qwYhoWdF3NBUMJnbRhkk4LjKyCnhYYaTCzKoauQkaFjAUla0GJq5iaDbICM20iTAVh7DFi6gAsNjumoWMauXPsCeSjZzJYHA5sdgdFNUPIJBP4CovJplMU1wxl6JTp+EtK+wVBQghMw8A0DTAFRs82FVXF4XKjfEQwvCdd10mlUiQSCWKxGJ2dnWSzWWKxGKFQCNM0aWpqwjRNEonE7s9PVXE4nfgD+bi9eXgLS+nOWginTMJZlWBWpTtp0p3IEIxn6YqnSWX3/dlYVPA5bRT77OQ5rLsHJLLmBp7RDYGj53VfwNNTx2UCGX3vQC2dNUn1BGm75+2en9H39z3Zv94gqq88PWWyqLvLZ+kJwKza7mDLoqpY+t7ngjNNU7DuEaxZtN0ju/YPskRfANYbmH04INvr0bOMKQSakgsA+55V+k3LmoJ01ugpX0/Z9ggwtT2Cx77j/FDA2XvMey+/Z/Cp9pu+e/vq7v31nBeLqtAWSdMWyTVzN3uDU5F7nRssSSeTjaIbKXRDRzdSpDOh3A0TRUchi4KBaYQQZhwFHdMIgzCJ604iaR87ItVoiiBlOEnpdtLGwM3fvXYLhV47fmdusCO7RaPQY2NqTT4lPjtDijxU5O17YDFJkiTps0cGeQM4FoO8J2+5mtqHl/LSqb+gu6iEn/1oOnU/ewXTalL7i4W50SMBGt/lvb/fysvpSfjcTs4450Jqa2sPucYisXIV3Q88QHTRon7Th776KrbKCgCEKTBCabKt8T0eCfTORP/YR1XQ/Da0vFygaclzoHptaF4rmtfW8zr3UBzaYallMfQkkXA90eB2YtEG4pF6sMTI6p1k9U4MM4hQEqAOkGheKKhZF5ruRsu6e167ULPu3c9ZN2RtGBkNsjaCiW7MrEo8lSCSjGDoJjE9TFokewaesWPpCbZNw8RbUIjN4cBqd2Cx21GsFjJkSRlpImaMpEgTS4QJ6xHa9G7Cik7absdUsljtPvIdJZR5y3Ha8ilwBnApfqyeAKF4nIyiEkNFVTXy4yFMVaUgk8Le0UIilUIoCsnGeuwKRLs7cbg9xINB9Gwm17RPVTEMnaxiIavayCpWMqqVrGolo1jRFQsKYLFZcXq8ZJMJXG43wjRIx6O4vT6y8Qh5+flko0G8Xi+qkUWk4thsFtxeLzZ/PqbFjqlaMSw2TMVCFhVsToTFRtoQpFUbiaxOVyROImsQiadIZXXSuomBmmvimatvwUBFKBaEmqsXRbOQFQq6mQsqssbh+TlTFbBqu0eodVg13Lbc6KNuu4WAy0q+206+y4bDlptv7xnJ1rHnCLfWD02z5kY1tWg9AVhPUCKbAh4fdD1GIrGDZGoXmXQb6XQbydQuQuG1BBMG0ZROynCQ1u10p/LQhYOsMgRdG0XcKGJbp0pXPItNU2kK9W/GOq0m0JcuZXChm6FFHsr8Dgq9dvKcVpw2rS8fKNB300CSJEk6vhxoLPOpGl3zeNV7WZpWO/GmirE67NhOLsT2tk79M8sZfP5MxI63WfS3O3lHTGPqhDHMO/s8bLb952b7KK7Jk3BNnoTQdSIvvEDbnf8NSoCG636FtXoyzrETybYl+2riFIcFa6kL+xA/nhPLsZa60PIcaB4rqLkcb4cik0oSbG4inYgTC3bT3dQIQCzYTkZvRajdaM44qj0G1hCKNYZqT2Fx6P22Y2QVsnEr2bil71lP+TGzFqy2PDTViyqchNsi+IpqUKxeurIGlvIq4kAqm8bttJEyDeKGhqHZ8ejg0KA934fHtBK1TCFqtbLTrVKYFiQ16LSruIBiHZKawi63SnEGGuxQYrWSsECTaVBotdCu65Q5bLSksxRYLdSn0pTYrER1g5hhckAhig7YPZAxUaMZyAowilAMAYYASymKq+d1zbTc9DKB3RRQLjCzBqpuYhggDiYo6q2M0IC8nte+nvI4e56BvsFaYz2P/R4IQBJVGFiEQBMCi6lhQUETBhoGVtXEooFLNbFaNKyagYrAoino2TSYOhoCp91Cvt9LcUGAQZXllBYX4rRZsFv2HYRpKmRNQTSp053IEEvphJPZvkdnLE1HNN33ujOWZntnfJ+B5LgKP0VeOwGXjYo8B5X5Loq9dkr9Dkr9Dlw2+VP7WWCxePD5xuHzjdvnfNNMk0g2kEw2EI1+QDJRTyZTRzD0MEJkoBxstmKczmpsrsl0pQexttWPToCd3SobW2IYQuG5tS0HVB6rpuB1WCn22tFUhVKfgyJvLgWKx27B68g9exy73/fNs+eaP1tkoChJkvSpJK88jgG9l4wprYP8eG5UvMFnz2Dd0n/hfMeFPnUDS/9+O++IaSw44zRmzJp9ePabNUnVhUht6CL+bgDXiTf3zTMT3cTf+TeKLYWl0E7xt67EWll40DUOpmEQ7eqgu2kXofZWVFUjHgoSbmsh1NZKqL0Jgw6c+WnsgTR2bxabL4Mjz8BanOmLK4ShYmS8CCOfuDIcUy0hblZgsReQdZbRbCnCY3PRYgiyqorNYiVhCgptFtZHk3gtKsGsQUdGpzObpTt78IOO+NDxoZM0svjNFGo6SqPFhyYgJBxkhEbIZlAchaBmoTitEshk8QPFCuhqmtoMdDoyjE2liFkUpippCswMHgzytDB+T5aYzaDQTGAmQ7gcHtzoBIWVxnCKlTEH26IudoXdpFP9R15VFBNNU7BZVRxWK1arhmpRUTQNzaaQUsFUFVx2jS5hYqoKaRXSKqApCIsKFgU0FWFRctVZPTQERVYrccNglMuJIUyGOx1YAV0XlFotzMnzYBiip6ljrr+VYx81Wb1BlwWTTDiImYpi0SzomQx6JkMmmSDa3Uks2E20s5NsOoWh62RTKYQQNG/c0O+4haJiuDzovgBmxEa20822bRa2mwZ2TEry/OT5/VQNHkxxaRmm3YGloBCXPw9FUQi4bFQXuDgQQggiKZ2WcJJd3Uk2tUZ4+YM2xpT76Ixl2NEZ462tHbRH+9ceB1xWBhW4qQw4qcp3UZ7nZHCBm1K/gzK/Q+Yd/IxQVTse93A87uEUFZ7WN90w0kSia0klG4jH6+gOvkO461+YmS7G2nL/ISaWwvmlYLUGsNvLUK21pLRxxPVSEroLAw9WawGgIsj1l0xkdDqiaZpDKRq7E6R1k42tUWKpLLG0TjxtEEvrA5Q2x2nV8DgseO27A8De973BoXvPgLFvvhWPw4LbruG1W3FYVVljLUmS9AmSzTWPAU/cejWj/7mUBxecQXXqfK64fRaegJ32tVtJPtREp3iHZ10Z5syaydwzDixVxEDMjEFiVTuRV+sRaQORybW5dIwpwDEsD0uxC/sgH4mVKwg9/jjRl15GZHKDYSguFxV33on31L1HRE3FY7TWbaVh/RoyiTitdVvpamxAz+4eSEOzG7iKkvgqFTwlJva8JKo9BEou4LJoAVyuQdicNYStI2hWqmkUxTRkPdSlFFZFEwdW07WHAqsFgWCk20GJzUqhzUKR1UpamAx22glYLeRbNPJtFnQhcKkqfquGS1VJ9/TXcfbcyVb3dYESa4fgTsgmcmkdelM76Gkw0phJHSNmYmZMzJQg1Z6HqqZJhwIIA1TiZJKlCNG/P2VYaeYDVWGjFmG9sLA+m0cSKxYMRis7maRuY5K6jSptB235btbk51PndrM11U53JgKAx+phsH8ww/KGMTJ/JOMKxzEyfyR2bd99NzsyOi2ZLFHdIG6YOFQVXQha01k2xpNsjacRCNozOioQ0g1CukFij1x6swMe5hf6qbBbsasqeRYNVVEotFnIt1pwHaZaASEEmWSCSEc7XU2NxLq7sLvcdDU1otnsdIYjNHV0ktBNEqbYPZKkoWOJRbBEutFScZx2G55AAZWjxjL65LkUVtdgc3z8/k9p3aA9kqaxO0FbNEVTMMmOzgRNoQS7gklawyl0c/e3OeCyMrjQzaACd18NYE2Bm6p8J9X5bmwWWZvyWSSESSbTRTyxDT0bxjQzRGMbiEY/IJsNkkjUYZp7Dlak4HBU4nRWYbPm4/HUYreXYrPlo1k8OB3VWK1+VHV3KxDTFMQzOrG0TiylE+15jqd3v46lc49oz+v4nsums33L7K+5tKYqfUGgd4/gsC9gHKhG0WHB0xMw9q6vHWKrEUmSpOOB7JM3gGMyyPv51Yz+x1LuPXsiI+Nf4ZxvTmDQmFx+rdU/vZ+89DCWlm/gkm9/45DvhBqRDLGlzcSXt2AmdDS/HfeMMpyj87EU73948Piy5YQee4zI888D4DjvXLIXLKRh/Rr0TJaWrZvobt7Vt3xhdQ2qplM1uQxsLTgL42SpJ51pAnLD13s8I/G4RyCctTSoI9huFLMpqfJBLMnWRIp0zwWwW1MZ7nIw3G0nz6IxyGnHoigMcdrx9PRrKrNbybNYsCh8Ku8Up3WDDxrDvL+lg/c3dLA2kqA5mRtAphCFsWiMRmMMGiPR8BQ5seYJMBLYfDHUVAP27n9hibwHQJNFY4vNxrbCIWz3FVKnmtTFW8iYGTRFI+AIcFr1aUwtncro/NFUeas+9nl7viPEbXXN1Ccz+x2mppdTVXBqKjVOO4VWC+UOG25NpdbtoNhmpdphY5DTtu/A+iAZhkF3dzctTbtorG9g87ZtRKJRALw2Kw5hEK2vQ8mk0ZIxrDY7vqJi8ssrKKgchCe/AHdeHmXDRuLJL/jY5QHQDTMX7EVStIZztSzbO+PsCib6al56E9FbVIVBBS4GF3rwOS2MKfczuNDFoAI31fku2e/qM0wIk3S6DcOIk0q1kEjuJNi9hGSqEdNMk8l09aQG6c9uL6Wy8nK8nlH4/ZOwWD7+CMtCCNK6mQsA9wgIewPA6B7B4e752X7L9L6O72Owrj3tWbu4Z/C3Z6DYf761r0Zxz0DSbpG1i5IkffrIIG8Ax2KQ9/jPr2HMP97hnnNqGJv6AScuHMLk+YMgHeP1/7yCysRXSHiSjL/5goPedrYtTvDxrblRMG0a7mkleE4sx1Jw4LUVQgjad25n+7IlbHzorwRdjr6akZIhwygdNpLSoYPxlCfIKlsIhpYRjX4AmKiqA693NF7PeFKuyTSow9mS8fJBLMX6WJKGVO4utF1VqHU7GOtxMsrjzAV2Ljtldutx9U9YCEFzOMWqhiCrGkKsagiyvjlCRjexWVTGVfiZVJXHpOoAk6rzKPM50LtTmLEMImOS2tyNEcuSbY4hMiZGeHezQNWtoigCW0EGe34nWmgN9s4nULMtZIAt+VW8lVdAq83OciNKk96/w9wVo6/gpMqTGF0wGp/t0P82orpBd1anO2tgCkFnVidumDSlMkR0g4hu0J7R6c7q1CczhHWdpDnwz5BDVfBbNFKmIM+ike0Z2RHAquRGkrSrCiNcDhYU+nFrKqV2K36Lht+i4dLUvUYSDQaD1NXVsX37dnbs2EEqlRtt0aKpOIWBNRnHgUm6q4N0ONg3xqknkE+gvBJfYRHlI0dTNmwEgfJKLNaBR088FKYpaI2kaOhOsK09xrb2GB80h2kOpeiIpvsCQJumUhFwMrjQzchSLzUFLoYWeRhZ6sXrOLxlkj6dDCNJJtNNJtNGOt1BNPYB0eh6gsGlfbWAmubC55uI3VaM0zUIl2swHk8tbtewo/L7a/TWLu6rRnHP2sbMnsFkdq/axmhK71dj/mEWVdl//0Rb//cfrlGUtYuSJB0NMsgbwDEZ5P3iGsY89A53n1vNBOtPGTE0wBlXjyG15D5+u2gHU7Uh1MZHoZ1bQNmJow9om2ZKJ/JqA7F3msEU+ObX4JlRhuo8sL4/6USC+nWr2LFqBTtWv0882I3V4aS6djSuZ1+kMJokb/5sXN9fQEfXq3R1vYFhxLDZiggEZpLnn07YMYGV6ULeCSVYEorRnsn1/QhYNMZ4nIz1Ohnb8zzM6cjl3zrOJDMG65rCrGoIsrInsOvtr1WV72RSVS6Ym1QdYHSZ75Ca5WXb4mSaYqS3hjBiGfT2ZL/gz16lYFVbsDmbsZh1WCNLUELb6FZVNthtPOlxs9TlxIlKuwpWFCZY/MxwlDHRWcJ4dxXOkrHgKwN3MTgDYDuwPmwHwxCC7qxOZ0anMZVhfSxJ1hQIcokkEqaJTekZnl8IVCBlmtQl0uxKZdmSSA24baeqcoLfzWiPk5hh4FRV8q0WMsLEo2kMsSqUR4I079xBQ0MDra2tGD1pKbxeLy6ng4DLiRkO0rV5PXZVJdbZgRAmFpudQFk5nvwCbE4XdqcLl9+P0+vD6nDi8vvJKynDV1SM1e742OdJCEFLOMXOzjhb22M0dCeo64ixpTVKSyTVm8ecEp8dn8PK6HIf4yr81BTkAsHKgPO4unEiHZpc4vp62ttfJKtHSCYbyWTaSSR2kM0GAVBVJ273EDzukSiKhby86TiclXjcw9A0D6p6bN9I6K1djH2oBrGvtrFverYveIyn9w4mY2mdxEfULrps2l6B34drFN32/rWLH266KmsXJUk6EDLIG8CxGOQ9+ourGffQUu46t5Ipxb8kkIRLfjqdFXd9juejo/nmDd+k9b/eRtU0Rtx2NupHNM9Kbw/R9c9NiJSB97RqvCdVoBxA8BBub2PJo38nHgrStHE9hq5TUFnN4ElTGTxxKhW1o9CNEB0di2hc/BsSJUGwgMcxkuKyMxF5p7MiVcw7oThvh6LsSmVRgQleFycFPEz1uxnrcVJ+nNXO9RJCUN+VYFVjkJX1IVY1BtnYEsUwBS6bxvhKP5OqA0yuDjCxKo8i79594/Ynk9JJRDK5RzhDKp7FNEw0i0o6oaOoCnrGwDQEIqOjJQ0coRS+ljiqKXZn3LOq2MpcYGSxuNJYfRGstk40sZ0GvYFliZ0s08MsV7MkFdCEYEQmy4R0mimpNGPSaSrtBSjeUvBVQF41+CtzwV/NSZA36COTzB8pLekMu1JZ0qZJSzrXvzCiG+xKZdmRTLMlkaKj52aDU1X2qkH0WzTyrRpzAh7URIKCVJyO5iaUUDdqsBtLLIICuN1uigoLsWsqXkyMcBAzGSeTjJNOJIgHu8kkk+iZ/gOw2JxO3HkBXP4AFpuN/PJKBk+aije/AH9xKVbHxwsC07pBXXucLW1R3t3ZTX1XnM5ohobuBMk9BhsaU+6jPM/J/DGlDCv2MLjAjd91bF+wS5+cTKabYHApodB7xBPbiMU2o6o20unWvmUUxYLXM5pA/izstkKKihfgsJcexVIfWXvWLu7dHDVLLG3s8XrvGsU9m6N+VO3inoHi3v0T96xR1PrVLu5ZG+m2ydpFSTpeySBvAMdmkHcN4x56h7vOrWDm6N+Qea+Lr/64hAfv/y32slFcdt132fnqe1heTZGeCEMv2ffomkII4u80E3p+O/YaP4EvjMTi/+hAomtXA+8+9Rgb3loMgK+omEkLFjJ8+on4i0swjAQtrU/R1vYsodB7KIqK3zeN1q5xbHh2J0FfBSvOuZC1qVw/sjEeByfleZkV8DAjz4PPcmAJ1g8HIQS9VT9HOpCMprKs3RVmZX2QVY25ppfBRO4cDClyM7mnyeWkqgAjSjz7HIrcNEyS0SyJSIZ4ON0viEtE0nu8zpBN97+TrCigaAqmnvsTtjo0rDYNVVNQNQV6E1NbFEwToq1x8jSFAk0hz6rgVxUMRcHzodOUAmKaQkZVCakGETNFMJugU0+QMbOoQkNDwW4xcGtJCokRSHdiVVJYlTQWzWTyoA1oNVOhfBIUjoSSMUek9u9wCGZ1loVi7Epl2ZpI0ZLOsqhr735MACowxAIj03EskTBmdyf2UBf2bAa/zUp5II+qigoKCwspKyujpKSYRChEqK2FYEsTkY52YsFu2uq2IoQg3N62VyDoLSjCk5+P1W7Hk1+IaRj4i0sIlFWgWSx4AgU4/X5sPbWEmuWjgzMhcs0/VzeE2N4Z540tHbRHUtR3J/pq/qryndQUuBlR4mVEiYcTBhcwqGD//XWlz5ZsNkQstoVstpt0poNQ6F3a21/om+/3T6Ygfw4u12AKC09D0z5+zfXxprd2sV+NYl8Q+KEaxdTeg9/s+fpgaxf3bC1jUXN5PN02C6V+B16HhYDLhlXL/d+wqAqqomCzqDitGi6bBadNw2XTcNssOKy5fJ9WLbeMTZM1kJL0SZFB3gCOySDv51cz7h9LufPcMk47+Y8En9vF2fO28ODaVi48/1zGT5wMwJqfPYYn5afyJ7Ow+9z9tiF0k+BT20isaMNzUgX+MwejaPv/we1ubuKtfzzItveW4ikoZNrCCxk3d15fbUIq3cquXf9HU9M/0fUoBfknkck7jzeNCTzVmWJbIndxatF1Tl63ktNcVs4+Zz6lleWH7dykE1lCbUlC7QkinUliwTSx7hSZlAEIhCD3MAV6xiDanULPmDh9NoqqvBRVeyis9GKxqSTCGfSsiWmY6BkTh8eKr8CBt8CB3WXFNAQWm4rDvfdFs2kKtnXE9uhLF2JLexQhwOuw5PrQVeUxqTqPCZV+XIraL0AbKIhLxrJ8eMhQh8eK22/D5bPh8tlzz/6eR+97nw27y4KiKBi6iXqAeQqj3SmatwQJtiawOS3oWRPFMNESWayRDFpSx5rIomZNLBkDbY/R8jJ2jbBHpcuaolUPUp/uIBRPYtXtWEwbfiUPp+5AJB1UFzUzxrGIwtQSvGpH7p9/XjUEBkHhCMgfAsWjoHQ8uAs/7tfkiOnIZEkYJlHdYFk4TjCrszKSYEMsSVtm30PPq8LEnU6BEHgzKYqEgeLzU2CzkLE7KXY5mOj3MtXvZozbRqKzk2hXBztXv0+0qxOL3U5n/U6cPh+tdVuBXC5JPZ3e5/4AAuWVeAsKqRg5msLqQQRKy3H583D6fKjqwDdZYmmdd7Z1sq0jRjiRZUdnnM1tURq7E5gCvHYLVfkuBhe6mTOiiNoyLyNLvdg/wRs30rEvk+mmuflROrsWEw6v6Jvucg3G55tIQf7JFBbOPSwDvEi76YZJPGMMWKP44cFvjD1qEHVTkMrm1m0Np4ildbrjGUwh0E3BoV4ZlvsdOGwadotGsdfOoAIXI0u9+J1WZgwpoMBtk8GgJH1MMsgbwDEZ5PU01/z1eSWcf/H/0fi/WxlWvZRlmQz/8YMf4nLlakA6N9cT+986kmUpRn33rL71Rdag6afvAJB3wTA8J5Ttd3+ZVJLl/3qEFc89hSe/gBkXfYHRs+f21QjE4lup33kvbe3Po6oOzOIredpcQF1KY0UkgUtTOavQz+yAlwqHlUnRIG3f+Q7pDRsBKP/1r/EvPOcjj1sIQSyYJtgSJ9SeIJPU0bMmiUiGUFuCUFuCZDTbt7zTa8UTcOAJ2LE7LbkE7AAKqJqKZlHw5juwOSxEu1N0NERpb4iSjGT67ddiVTF7/omJfTSbyStxkbEq7EJnRzrDLqHTYGRJiVyTxwq7jSFOO0NdDgbbbRQKlWzKoKsphsWqkYhmMLLmXvt0+W24/buDtL6gbY+Azumzoh1DoyWaSR0jkibbGie5tpPkB127ZyqglThps3SRtGVYa9nEYv0dHO1DGNU+C08mDwDVZuCymdjUNBhZjKyBVcSwEcOmJrApCexqAlv1WHRbIYXDKrAVV2CxaVisKqqm9nxWJnrWRAgwdRMUhXQ8i6opmIagekwBLp9t3wdyBAghqE9l2JlM05nRCesGwayRSzuRSrMhGMHIZqk3wBmLEOtJzZC07a7dsCMY6rAy0uvmxHwvg5128q0WimwWCq2WfhdDejaLnk4TC3YRbs81m+tsqCfS2U5H/Q40i5XOhp2k4v0H1KkcPRaL1UZxzRBsThe+4hIcLndPH0In7rx8LLb+5y2ayrJiZ5BNrVE2tETY1BJhW0cMIcBmUanMczJjaAGTqwPUlnoZUeKVaR4kINfXLxbbTCSyhlhsE6Hwe8Rim4DcyMpWawCbrYD8/JPw+ybi90/GYvHJC/9jjBACwxRkDUEik6s1zD1yr1NZg7RuEkxkcFg02qIpdEOQNUySGYNk1qAtkuaD5jAt4d39pZ1WjSFFbhxWjbE9zcaLfXaq890MK/bgd8pm45L0UWSQN4BjMch75LZrGP/3d/iv84r44uWP0vxQHWZmBXp5mK9872f9ll3zmycJtAXwXTucvOEVCFPQ/Y+NJNd3kXf+UDwzBq5FM02Dt//5N1a+8DSKojLtvIuZdt5FWG25Jp2pdCs7tt9Dc8vjOOylZIq/zj9T03mmM3fReHqBj4tKAswr9OHW9r6Tn1y7lp2f/wIAI1a8h+bxAGDoJuH2JMG2OMGWBMHWOMHWBMG2BHpPE0TNomJzWbBYVBweK3klLvJKXAR6nv3FTmyOg08YLYQgHsoFeRab2lf7BbmmkrFQmmB7ks1tUTZ2x1jbFOaDzhit6Vxw6dVUhjgdVKkWKoVGlcWKs6e/mWEINIuC1aZhGAKn14qv0NkXxPUFdH4bVrt23FzEGOE0ejBFti1BZkcYI5ZF70xihHI1TUKFjrwIHY4oK4w66hLdaKadMnslRc5Cir3FFFoKMSIxsuEg6VA3mUSWuJGPLizo4tCbeA2dXMSE06pBCBRVwerQ8BU40SzKR/ZlPdLS6TSdnZ20t7dTt6uJJa2dbFetBF1e2v35hJyevdbxWzSGOO1UOW0UWC3Uuh0Mcdqpcdmp3EffViEEiXCIYGsziVCQzsYGGj9YSzqZINrZQSoW3WsfiqLiLynB5cujonY0BZXVlA4dTn55JcoefSsTGZ3NrVH+vbGd5lCS9c1htrTtDii9dgvRtM7vLp3E6HIfQwrdx813Xvp4kskGQqH3yWQ7SSZ3EQ6vJBbb0Ddf09x4vWPJ80/B5xuHxzMGh6Ncfn+OE7phsr0zzrb2GI3dCdbsCrG9I04ya9AdyxBN724VkeeyMrLEy/hKPyNKvIyvzGNYsUf2L5SkPcggbwDHdpBXwOVX/Yv485vZXt/E6DlpTr/oin7LpsJR6m97E8NtMvqWhUQWNxJ5ZScFl43GOWbgHF7xUJAXfvdrGtavpXrseOZd9y38xblO8roeZWf9fTQ2PoCmObFXfIeHUrN4rC1MpcPGDdXFXFQSwPMRTbQyKZ3WJeup+9XvyQybjDF+FsHWBJGOJGZPjZndZSFQ6iZQ5iJQ0vNc6sZb4ED9hH7E26OpviaXqxqCrN0VJpk1sKgKo8t9/VIYVOfLPkkHyswYZBqiZJtjpOtCpOpCoAuECt1lSdZ4N7NcX8VOcxedtiAul4cJRRO4afpNlLp7BmxIhdHrlpPd8DJ60wb0zp2YtRfASd9DdTjRLGpPn0MV0xBoVgWLVSMeTvPiH9fR3RzfbxlVTQEB7oAdp8dKJmXgK3DgzrPjCdgZd0olTu8nVxsYj8dpbW1l165drPhgAzvjSaIOF6K8irA/H7vbQz0aId3Arak0pbP91vdZVMZ6XAgEQ50O5uR7GeqyM8Rpx7HPPqAGejZDKhYl2tVFNpUk3N5Ga90Wwm2tdO5qIBkJA2Cx2/EVFlNYWU1RzRAKKqqwuz0U1wzB0XMDJ57WWd8UZun2Lv5vaT1d8d215l6HhWHFHib0XKRNqMxjTLnvE/s7l45tpqkTT2wjEd9GMtlIa9vTpFJNGEYCyNX6ud3D8XhG4POOx+MZidc7pl8id+n4EEll2doW5d0dQXZ2xmkKJWkMJqjvSvQtM3t4IeV+J8NLPIyr8DN5UEDmCJU+s2SQN4BjM8i7lvF/X8J/nR/g8iufRF30Nms2ujjj+gpGjR2/1/Ib/7EI71oH5nQ76ooM3jmV+OfXDLj9XRvX89w9/4UwTc759g+oGpPbZns6y33bVjCz+wdoRjclldfyjHIh9+4K4bNofK+mlC+V5WPb426+EIJEJEOwNUGoNU53a4JgS65mLh7aY9j+VDf+PI2SGaPJL/cQKM0Fc07vJzuyZlo32NAcYVVDqC+FQVMoCeSGmO8dHGVydYCxFX4cVtnX6HARQpBtjpPeHiKxqp1sa5zeTOkCQaOtjbe9K1nv2oYl38GwwaOYXDqZ6aXTyXfk5zpbrn4IXviPXH++6V+FIadAYPA+R+8UpiDaneo3QE06kSXalSIezpBO6piGwDRMLFaNUHsC0xAoCsRDadoboiByA9iMOrEMq02joDL33c0rcWH5BL4b4XCYbdu2sWrVKlpbW9F1HUVRqKmpYdSoURRVVBJ0eWnVDV7qDOPSNN4Lx+jOGrR8KACsdFgpt9s4KeBhXoGfCd4DS52QTiRo2bKRXZs+oGXrZkzDoH3ndjLJ3AWXoqr4iooJlFWQX1aBv7gEdyCf8pGj8AQKCCWyrGsK52r6WqOsagz1Xax57RYmVudxam0xk3qaesq/OamXEIJMpp1o9AMi0Q/o7n6bdLqVVKqZXN5VOz7fBLzeMQyq/gp2e8nRLrJ0BEVTWV7f3MGOzjirGoJ0xNJsaY2RMUy8Dgtjy/0MK/YwY0gBc2uLcNkOvrWPJH0aySBvAMdikPfwL69lwv8t4dfn+/jylc+ivPQwH2way+dvmUhRaf5eyxuGzob/9zQ2w46vupTSb0xGGeCO1tb3lvLc3XdQPrKWs7/1AzyBfOKGwfz3NrMtmbvrbsUgS+5Cy6oo3FBdzA3VxbgtuRqS5q0hgi1xGjd2E2xNkE7kmlaoqoK/2JmrmSt15R5lbvJKXEQf/jvtv7oDzymnUPk/v0OxHPkf3z0TjfemMPigKULG6J9ofPKgnkTj/gNPCC99fGbGwIxm0ENpUh90oXencrV9Pf0X41qSpZ41LPOsJVieYmbNLM4dei6DMxmUZ78Fu1aA6AngyibmRuy0OmHsRVA9Mzfc6McQakuw4sWdbF3RhtWmIUzRM8BPjsWWa0ocKHVjtWsUVnpw+Wx483OD93gCDiy2wzfCnGmatLa2smnTJrZs2UJbWxu9P9cVFRWMHDmSqVOn9vXZNYTgg1iSiG6wPBTnzWAUq6LwdijXpDJg0Tg530uJzUqZ3cpQl525+T6sB1CzJkyTZCxKIhyiccM6wm2tBFua6GpqJNLRjjBzn6HD7cFfUkagrJwRJ8yiePBQvIWFpHTB6sZc7fnSui6W7+giawg0VWFokZvxlbkbLeMr/Ywq88mmWVI/ppkmGt1AZ+e/aWt/kWSyATBxu4dTXHQmgcAM8vKmoSiyZud4lzVM1jeFWby5g7e3drCyIdQ374zRJZw3sZy5I4tx22XAJx2/ZJA3gGMxyPvHf17LpL8t4c7zPXzpyucxnr2TLXULOO+7E6kcuXeQB7D1gcXYN6kkazKM/PoZ+1xm89K3eeF3v2bYtJmc9c0b0SwWmlMZLl2zmc0JAxdxEuwepdOjqbwweTjFccGuTd3sWNtF44YuRE/txqCxBRRUeMjvaW7pK3Lud5CQ7r/9H22/+hW+BfMpv+uuw16Dl8wYrN0V6ktfsK9E45N7Eo2POsRE49KRJYRA70iidyRJbe4mvqEDYgaGYtJm7WKHvYktRbtoqQwzqWQ0JwsHI9c9DYEaaF0DretyG3IGctMKR4KZhcFzoGIKFAwD66H38UvGMgRbEoQ7kqQTWRLhDA0buxGmIBnN7DU6aqDUxdSzaygo9+ArdKKooGnqAY18+lEymQyNjY3s2rWLrVu30tTUhBACq9XK8OHDCQQCjBw5ksrKStQ9ajqThsmirgjvhmO8FYyxOd4/aXyVw8ap+V6qnXZm+t1M8h1cE2VhmoTb2+io30F38y6aNn1Ae/0O4sFuACw2O0WDavAWFlM2bARVY8bjK69ma0ecdU1hNjRHWLMr1JdTEmBSdR6bWqL8+YqpTKrOk3fopX6y2TCNjQ8SjX1AZ+diwMRmKyIQmInPO5aSknNkLd9nhGEKNrZEeGLlLp5a1UQwkcVl0zhtVAkXTqpg9vDCfaYvkqRPMxnkDeDYDvJcXHrFC0SfuInmXV9i9hdqGT+3cq/lzUSWljveozW5g3ylhLL/mI6jsP+x1K9dzb9+dTMjZpzEmd/4Hqqm8VBzF9/f3EghXfzI+hfOm/gzno8WsS2R4kvCyY5lbTRs6CLWnUZVFUqG+BgxvZShk4pweA6tmWXw0Udp/dnN+M87j9JbbkZ1HlrtmRCCnV2J3SkMPpRofEJlLn3BpENMNC4dO7LtCVIbu0k2hkht7EY1FLKKzpv+91niWc22omauGHsFFw6/EK9qg51vQ+NyaF4F4SZo/2D3xhQNikZCe88gDxfcl8vdVzD8sCRsNw2TaHeaaHeKth1hVr/aSCrWv9mkZlVx+WxoFpW8EhdWm0rd6g6mLKjJ1QQWOCgZ5MPhObhR5aLRKO+//z7pdJoNGzYQi8UwDAOPx0NtbS0jRoxg8ODBWK17bzdlmLzSFeGN7ghxw2R5ON6vueecgJczi/ycXuCj0nHwfaCEEES7Ouls2ElnYz2djfVEOtpp2pT7bDSLhcLqGsqG11I5agw1E6agazaeWLmLxu4Ef32nnoyRqx20agpjK/xsaY3y/XkjOWtcGaV+mX9NyhHCJBhaTmfnv+noWEQqtQsAj2c0fv9kykovwOebIPtWfwYIIdjeGefpVU08sGQn0bROnsvKVScO5prZg/HI2j3pOCGDvAEck0He7V9h0l/f5tfnO7jk0idpePI/McLnMmLKMOZeVrvX8pFX64m8vgvnFysJP7iFdFGWUf+xO6VCZ8NO/vmzH1A+chTn/8dPQdP49Y5WflvfBsDfvf/DnAl3YepuNi9rZcPbTXQ1xfEWOBgyoYjKUQHKh+cd0miWHyaEoP7LXya54n0Ayn75S/IuuvAj14umsqxpDOeCug8lGh9a5O4bGGV/ical44PelST+biuxFa2IuE63O8orjiVscdXjH1XKhNKJLBi8gEJnT74904BEN3Rvh7b10LAM1j3af6NWdy74q5gCFZNzTT+LR4P28YfvTkYzdDfH6WiM4vTaSMWydDXFSMWzGHoun2PbjgiGvjvNhsWuMWZ2OQXlHooHefEE7NicloO6MDVNk/r6etasWcPOnTsJhUJomkZ5eTkjR45kxIgRFBcXD1xuw+T17gjvRxK82R1lbSzXd7XAauGMAh9nF/mZm+/rl1D5YKUTCZo2f0CwuYnWuq00rF9DIhwCRaFk8DACZeXklZYx4fQzcfry2NaZYPmOLhZvamfx5o6+7VTnu5hUnceIEi+n1hYzosQrm3hKQC5nX1fX63R2LSYYXEY2243TWYPPO5bCwtPIy5uKw3H4crlKxyYhBEvruvjft3fw703taKrC1bNq+NIJg6gpdH/0BiTpGCaDvAEc00HeBTY+f86fWbPocSrV2djtpVz8w6n9ljXTOi2/eg/3pGLyzh3K2t89RWBXPu4vDyJ/7CDSiTj/d9O3sTmcXHLrHQi7g0FvrAXgczzK1YFWhg26mzX/bueDN5swdMHgCYWMmV1OVW3+YWlW9mFCCGKvv86ur18PQOkttxC45Au7j2k/icZ9DgsT90g0PrEqjzyXHF3tsyq5sYvkmg7iaztQTEhoKZ7Pe5NX/cuxFjmp8lfzw2k/pNK7dw04APEuaF2bC/5a10HTSujKJRxHUSF/KFRNzyVsd+bB2IvBvndqg8PFMExi3Sk2LGlh5Uv1/eZpVhW3P9fnz1fkJL/MTUmND0++A7fftt+UEEIImpqaaGxsZNu2bdTV1QHgcrmYPHkyo0ePpqysbL9BZGs6y3MdIf7dFeHdcJx4T83ayQEP5XYbV1UWMsbt/FhBH0BH/Q5a67ay7b2lbF/5Xt90VbMQKCunfOQohk+bSdWY8bQlDFbWB3m/Psjrm9tpDCYxTIHPYWFCVR7jK/1MHZTPzKEFckAXCSFMurreoL3jZUKh90gmdwLgdNYQCMygpOQcAnkzZC3fca6uI8af3tzOw+81AjBzSAEXTKrgc1Mr5WcvfSrJIG8Ax2KQ99CvvsrkB9/izgssnD3716x9dxknVJ5MwzqNr959cr/AK7asmdAzdZT+YDqWPDvpeJztt/wbxaEy4tazeO63v6Jh3Rou+9U9uIqKue6Del7sDHMBj/O1/G4iW2/gg9fb0awq4+dWMnZOBW7/J9O0Ue/sZOtJs4lYXTRfdh07Js1hZUOINY0homkdVYERJd6+WrrJ1QGGFLrlkOvSXoQQZBqjxN5uIrm+E0zotAR5xb+U5wJvUlRcykkVJzG7YjYTiydiUfdTK52OQut66NgIbRugYWkuCNzT0FMhFYGTb4RBJ4LDf0SOKxnL1QImIhkS4QyxUJpYMEW4PUlXUwzT2P1zHSh14S92kV/uxumx5oLAIX7szr2PNZPJsG3bNrZu3crGjRtJpVK43W7GjBnDmDFjqK6u3u/FTtYULAvFWNQV4fmOUF8qB59FZU7AxzS/i4leF6M9zo9MtfJRol2dtG7bQmdjPW076mjdtpl4KIhmsWB3exg+fSaDJ02lePBQcHhY1xLj3R3dfNAc4a2tHaSyuwdaOmFwPsNLPMweXkShRzbh/qxLp9sJhpYTCi6ns2sx6XQrqmqnpPgcSkvPIxCYKQdvOY6Fk1meXLmL59a2sKI+yJBCN9fOHsKFkyvkTSHpU0UGeQM4NoO865j84JvcdYHKzLH/j8atWzln9kUsf6yDy34xA39RbvQ8IQTt96xEy3dSePnovvU3P7EY93sWmst28dY7D3Hu9/8fZZNPYNhbuUEpvqfdz2ytk20vf4tEUGfygkGMn1uJ3fXxm6Z9FN0w2dQzjPqq+iAr67vZ2Z1rBhYgy6RhxUwZWsyk6jzGV+bJNvPSQTNTOqmN3SRWt5PaHEQogs3lTdznf5RNYhsAVtXKrSfeyilVp+C1eT96o9kkdGyGZ78Fmh12vbv3MpMvz/XvKx4DxaPAcWR/TwzdpKspRrQr1ZfGpLslTkd9pG8UUEVVyC9zU1TtobDSS16Ji7Jh/n5Nr3VdZ/PmzWzZsoXt27cTjUYpLS1lxowZjBo1Crv9o4OhqG6wJBjjjWCUt4NR6hLp3uwYeDUVq6pQ7bBT47QxzutifqGPoU77Id01F0LQtn0bW999h65dDbTWbe0b1AVg5MzZFA0azKQF52B1ONnYEmXp9i5W1gdZtLGNTE+z2NpSLxOr8pgyKMCptcUUyKDvM6+r6w3a2p6nte0ZhMiiKBolJQspLlpAYeGpKIq88D9evbmlg/verGPJti4CLivfmDuMK06skbn3pE8FGeQN4JgM8u64jskP5IK8EYO+QaK1na9edT1P3r6eM68bx5BJRQCk6yN03LuGwqvH4hgR6FtfmCarf/QoLsNLU+0utAu/yBfW5JpnXet4g7nxv7H1+R9TVDaI064YRV6J64gdS3s01Ze+YFVDiHX7SDQ+zpml5Pd3ULB5DZrHw4jly1A0+c9U+viMWIbEynbCr9SjWFWiMzTu4QHebn0bAFVRmVQ8iRllM5hbNZeR+SMPfOOmAZ1bYfXfc+kcUhHo2LQ7rcOezvg5DD0tF/ypR/67nU0bdDfHaa+P0LkrRkdDtF/NX8lgH7UzShk2paTfAC+GYbBx40aWLFlCS0sLTqeTESNGMGzYMEaMGHFAAR9AxjRZEoyxPZlmczxFxhTUp9JsS6TpyOh9y80r8HFOcR4Li/JwHuLFlBCCYEszzVs20rRpA+sXv5KboShUjR5H2bARlAwdTs34SVgdTprDKd7b0c0L61p4bVM7es8InqPLfJw0vJBTa4uZWJUn7+R/hglh0NX1JsHgUrq63yIe34KmecjLm0plxWUUFJwsA77j1ObWKHe+splFG9qoyHNy5Yk1fHnmIPl7IB3TZJA3gGMzyPsakx94g9+cr1JQcjWOcJQf//jH/O1Hyxg/t5JpZw8GoPvRzaR3Rii9cepefeee+tmtTEqfTLwmy4VjywjpBt9ybGJ64ic0L/ku42YuZMJpVYe16WNvovGVDbtTGHw40XhvsvF9JRrv/OMf6fjtPQCU3norgS98/rCVTfpsMyIZQi9sJ7m6A8VpwT9vEJHR8EbLG7y04yVWtq8EoDa/lolFExlfNJ45VXPw2Q7yNyGbgs4tsOFpeOe/wcj0n2/35R7ChLN+DTWzcukePgGmYdLRGKO1LsyOtZ00bQmCyDXzLBnip2ZsASWDfXgCuZEqQ6EQb7/9NqtWrcIwDCwWC7W1tUyZMoWamppD7rvSns7yWFuQXakMqyMJVkVzidHHeBxUO+zkWzW+VFbARJ8L9RD3EW5vZdVLz9G1q4HOXQ3EujoB8BWVUD12AtVjxlE5ZhyeQAFNoSTLt3fzTl0Xr29upyue+8xOHlHEycMLOWN0CYMK5MAMn2Wh0ApaWp4gGHqXZHInFosXl2sohYWnUlpyHk7nAH1+pU+tFTu7+dWLm1hRH6TYa+fa2YO5atZgWbMnHZNkkDeAYzHI+/t/fY0pf3mDu89T0QJfYnAmwQ9+dhtP3b0Sh8vKguvGIQyT5l8sxzOrHP8Zg/qtv33lezx5x62cOOwiyvRBfPFEF9/UOilyfodU8wXMOuMWAqUf76JFCEFTKNk3MMqHE42Pr/D3pTA4mETj3X/7G23/eTsAJf/vR+RffvnHKqck7SnbGif4dB2ZHWG0gB3vKVU4R+WTdGR5q+kt3tr1Fus617EzshMFhdEFozml6hQW1Cygxl9z6DvOxHODujQug9du6z+vcjoMPhnKxsOgWeAu/FjHeKBiwTT16ztZ9/ou4uFMX6qHoZOLGD+3itKhflRVwTRNurq62LRpEytWrCAcDuN2uxk6dCjTp0+nsvLjXeC+HYzydHuIUNZgUzzJ1kQut2WRzcJUn5upfjfnFecdUuqGXl1NjexcvZJgyy52rH6fSEc7AJ78Aiw2G/nllYw++TQGTZjMxs407+7o5u1tnSzf0U1GNxle7OGEIfnMHFLIjCH5smnnZ1g4vJr29hcIR1YRDuduDrlcQ6iqvJLS0nOxWA6g+bf0qbG5NcrtL27k9c0dlPjs/O8V0xhbcWT6YEvSoZJB3gCO5SDvt+epJHyXcqKW5Os3/ZK3Ht1C/fouLvv5TFJ1ITr/tI7iGyZiq/QSD6V545+bSScy1K/6HaZw8+opF/LbLVma1DiZk2/Hbh/ESac8jMVy8BdLiYzOul3hfSYa7x2+PDfi5cdPNC4yGbZfcCGZujo8c+ZQ+cd75YhX0mGV3hkmuriR1OYgAM5xhXhPrsRWlbtAa4u38WbTmyxrXsbixsVkzSweqweXxcV/TPsP5tfM/3jfSSFyffwW/zI3iueGp/rPr5gKM74OZRNyCdw/ge9/LJhmy7utrFrU0C+33xnXjKZ6dAEOtxXTNNm+fTvr1q1j48aNZDIZqqqqmDx5MkOHDj0sv6ER3eCdYIwXOkM82hrsmz7e4+SSsnzOLwmQb/14fXVDba00b9lIw7rVtO2oo7NhJwCKqlIzfhI1E6cweNJU7PnFvLapnbe3drJsexc7u3K1jkOK3Jw3oYIZQ/KZPjhf/j59RmUy3bS0/ou2tmeJRtejqnaqKq9k0KCvYbUeG9cT0uHx2qY2vvPwaiIpndNHFXPxlEpOG1Uia/akY4IM8gZwTAZ5v/4aU/73De45V6XdewnnuTNc8b1fsGFJM4v/vomv3jOH+KJ6Eqs7CHx7Ei//aT1NW0IgIK+omdYtD/Prr+VqC769ZB1fjtWwY8zvmf75e7DbSw66PD94fA1PrGz6RBONCyGoO+10ss3NAFT/7a+4p08/7PuRPtv07hTR1xtJrOtEpHRsVV5cU0twjS9C7RmcJJ6N82r9qyxpWsKLO18Ecn35Lh99OWcMOoNxheM+/kW+ELk8frtWwJNfBUcepEK5ec5ALtgrHQeuQpj4JfAUfbz97YdpmLTuiLD86e00bw31Ta+sDTB0cjGjZpahWVWy2SwbNmzg3XffpampCVVVqa2t5ZRTTqGoqOiwBT7BrM6LHWH+2tzJmmiu+ffcfC9nFfmZledliOvj//4IIehsrKdh3WrWL15EZ2MufYWvqJiaCZMZOuUEykeOImxYeHFdC+/tDPL8uhYAbBaVCyZWMG9MCbOHF32sG1zSp1cq1Uxd3Z20tb+ApjkpK7uYQdXXHtL/XOnYlMoaPLS8gadXN7F2Vxivw8KN80Zy6fRq+XcvHVUyyBvAsRnkXc+U/13MPeeq1Hsu4ap8k8/fcDNtOyM8/qsVXHzTVMSTW7FVeWnIc7D0yTrmXDqSQeMK+NftP+DVUSfwcnVutM2/Fm+m7C8Cm93FyNsWHnTeu85Ymqm3vcpVs2r43JSqTzzReNdfHqD9v/6r7/2I5cvQ/LKphHR4CVMQX9FKcm0n6W0hsCg4hgfwzq3CXr37dyGlp3hp50us7VjLq/WvEkznappOKD2B35/+e+zaYbzhkeiG5lWw6z1oWQObX9g9L68aBp0Edi+MPi+XwN16YE2iD1a4I0Hjhm42L2+ldXsEu9vC4PGFjD+1iqKems94PM6KFSt466230HWdoUOHMn78eMaNG4eqHr7fi7XRBM+0h3i5M9zXrDPfqnFhSYC5+T6m+d34PmbKBoBMMkH92tXUvb+c+nWriXV35fZVXomvuISRM2dTUjuW9zvhza0d/HtjG22RdN/6d31uAqeNKpY5PD+D0uk2tm67nba2ZwEoLj6L6upr8fsmHOWSSYfTul1hfr94Gy9vaKWmwM2VJ9bwuamVuGxyRHDpkyeDvAEci0He/915PVP/vJjfLVTZ6L2U75drnHPtj8hmDO7/9hvMuXgYeYvqCVwykqee3E5hlYf5145l18b1PHzLTdz/9V8QEQr1Jw3l3eWno249jUGbz8SYZmPQRSccVFmeXdPMN/+5iuX/7zRKfI4jdMT7JzIZtp12OnpHBwCeU06h6o/3HpWySMc/PZgisbKd2LIWzFgGW7UP94wynGMKUG27A4ismeX9tvf5yitfAaDIWcR146/jjJozyHfkH/6CCZFL2N6xGZreh3WPQaJz9/zKabn+feUToWY2+MoOexGCrXHWvLaL7avaSUazFFV7GXtyBSNOKMFi1chkMqxfv57XX3+dSCRCIBBg5syZjBs3Dqfz8AahO5Np3gnGWBqOsbgrSmc2N2rn3Hwv5xXncV5x4JBH7NyTEIJQWwu7Nq5n+/vvUbdiOUKYffOHn3AiMy/+Iq1qHne/upXXNrX3zRtf6efEobnBWyZW5aHJHJ+fGZlMF01N/6Sp+Z+k060UFpzKoEHX4fdPlrn3jiMbWyL85Kn1vF8fxOuwcM74cn50Vi0+x5FPSSVJvWSQN4BjOsg7R2W1/1J+MdjNaZd9F4CHbl5GebGT4Y0RlC/W8tQf1nHedyZSWZvPC/9zF2+FYjww6zwenziU8uD/Ut9wHydMX8Sm294izyik6iezsXoPPFi76Ym1vF8fZNH35hypwz1gwYcfofWWWwCo+O1v8S2Yf3QLJB3XhBDEl7cSX9FKdlcMLCreOZW4JhZhLeqfdmRtx1puW3Ybm7o3AeCxephRPoPvTv4uVb6qI1dIQ8/l7GtdB43vwo43Id4TZBQMA38lRNvg3N/lcvhph+cus2GY7Fjdyeblrexc24ndZaF2ZhmT5w/C5cvVXm3fvp0lS5ZQV1eH1+tlzJgxnHTSSXg8nsNShj0JIVgVTbC4K8rLXWHWRpP4LCqn5Ps4we/m7KI8Su2H76IrEQ5Rv3YV7z33JB07twPgLShi/OkLqJkwmbS/jEUb23l7WyerGkKEk1m8DgsnDC5gUnUen59adUSauUvHHiEMmpr+yeYtNwPgcFRRVXk5FRVfRNOOzo1T6fBr7E7w6IpG/vftHRR4bPz83LHMrS0+2sWSPiNkkDeAYzLIu+t6pv5pMf9zjsryvEv57zHFnHjBVwF46b51xHZGOKnIwVq/g/adEb708xmk4jHu+9rlvHLFjWTzCnl+QinvLJ1NRcUXGT7sJlrXbyH5t0ay1SYjbjjjgMsy+79e47TaEm45d8yROtyDIjIZNo3PNXsZvuRtLAUFR7lE0mdBtiNBbEkz8WW5flj2IX6cE4twTylB2aO2qDPZyav1r/LL5b/sm1bjq+Gacdcwv2Y+TsuRaVLZT3hXronnjrdgxf/unq7ZYfDsXL6+8km5h/XjX2R2N8dZ/sx2tq/pwGbXGDO7gpEzSimoyAVz3d3dPPvss9TX16OqKmPGjGHo0KGMHTv2sDbl3NOKcJwHmjp5om33wC2j3A7OLc7jopIA1c7DF2BlUkk2v/MWG99aTNPmDZhGLk9i9biJFA0azNhT51Ovu3h7axfPr2tmS1sMgBOHFjBvdAkLxpZR6pcX+8c708wSDL5Da+vTtLY9jdWaT1npBZSUnIPPN/5oF086THZ2xvnxU+tYsq2LmgIXt184nplD5XWKdGTJIG8Ax2SQ11OT9/uzVZbkX8IDU4cycf4XAXjv+R2sfn4n559SzuNvNnPCuUOYPG8Qq156lqf/9Rj3Xfo9flNbxczM42zf/ltmnfgmdntukIaVdzxCYXcJ+V8fjafmo+8wNXYnmP1fi7n/y1OYN6b0iB7zweit0Sv+wQ8ouPqqo10c6TPETOu5YG9FG0Z3CmulB8+J5TiG5qH5+wcOiWyCRfWLeHHniyxpWoJNtbFg8AIuGXkJYwvHfnIjMhpZaFwOdYuhYWkuADQyoNmgekZuUJfJV3zsUTwTkQyrFjWwelEDANVjCqidWcqwKcUoikI8HmfZsmWsXr2aaDRKSUkJc+fOpba29nAd6T7VJVIsD8V5rK2bpaE4ADPz3Hy+NJ+LS/KxHsYmlHomw65NH9CydRN1K96lq6kBPZ0mr7SM2lmnMGzqCSiFlby8oY1FG9pYWtdJ1hBMqs5j4fhyzhhdQlW+66N3JH2qxWKbaWr+J83Nj2GaKXy+iVRXX0Nx0XyZZP04IITg78sb+OlT6wH45QVjuXBSJU6b/GylI0MGeQM4FoO8v911PdP+tJg/nK3yRsHneXTOFGpnnQNA3Yo2XvrzB8yaUsjS1V1c+atZOL02Hr75h7w6bCKvDRrDmpkjWL18LoUFpzBq1O192413dbPr9ncQPpXan531keV4+N0G/t+T61h987xjrn355slTMBMJym6/nbwLzj/axZE+g5IfdBF5vZFsYxQA+/A8XBOLcU0u3iuAa4w28vCmh3l++/N0pbqo8dWwcOhCppdOZ0zBGKzaJ/j3ZWSh7QOofwfWPpJr6ikM8FfDsFNzNX3DTgPboeXSNHST9W82sXpRA7FgmrJhfuZcOrKvZg9gy5YtvP322zQ0NDBp0iTmzp37ifz+dmZ0/qehjT825vr3qsBXqor4elXxYW3O2SubSbN12RLWLX6FXRtyF3yBsgpqJkxm9Mmn4iyv4dUNbTy9ppk3t+TKNLLEy+mji/nC1GqqC2TAdzwzjDSdXf+moeF/iURWY7eXMmb0bwgEDq7vvHRs6oql+dbDq1iyrasvf/DZ48u4eEol3mPsmkr6dJNB3gCOzSDvG0z702vce5bKvwsv5tkFpzFk8skAdK7t4JE/rKPQbyNveB7zrx1LLNjNH79+JX+/7mZOKS3iB3nvsnHjD5lxwsu43cP6bXvdg88R2OTHenYhJbNH7bccN/xjJbuCSZ76xqwjdqyHKr11K9sXngtA7bq1KFb5gykdHXp3iuBT28i2xDGjGVS3Bc/sStyTS9B8/UdXNEyD5S3LeW77c7za8CpJPYnX6mX+4PlcMvISRuaP/OQPIBOHnUug7t+w7VXo2gZWN4w8E2pOgiGnQKDmkGr5tr3fztKn6oh0JqkcGWDYlGJqZ5ahWVSEELz33nu88EJu1NCZM2cyZ84cHI5Ppuniq10R/tnSxfMdYQBOyvPwlaoizijwoR6BWtZUPMaOVSto3LCOre8uJRWNUDZsJMNnzGLolBNQ/EU8t66Fp1Y1sb4pTFo3GVrkZv6YUhaMLWVchV/m4ztOCSHo7HqN7XV3EYtvprT0fIYN/YFMv3Cc2NoW5Y0tHby1tZM3tnRQ5ndw35enML4y72gXTTpOyCBvAMdikPfX39zA9Pv/zb1nqSwqvoBFF36OyhG5fmjRZc089OAmTOCsb4ynZlwhq15+jr+/+BIPnXct/5o4DG3rpdjtJUyc8Oe9tq1nM3zw/57CZfEx9OdnoFr33XzANAXTfvkql0yv4j/mH9nmVIeq/a676PrTn2VtnnTMSG0JElvSlEuyblFxjS3AOb4IR23+XulL4tk4m7s38/Cmh3mr6S1i2RjFrmLsmp3fnfo7huYNPToH0b0d1j4Gm57N1fIB5A2CYafnAr7qGeA58AEF9KzBthXtrF28i46GKO48O5POqGbkjFIcbivRaJTXX3+d999/H5fLxcKFCxk5cuQR66/3YZ0Znafag/x2ZxudWZ18q8b8Qj9XVRQy3ntkatIMPcsHr/+b9W+8SsuW3GA9Tq+PwZOmMvnMc/FW1vD65g5e29TOvze2EUxkqchzcu7EckaWeJkzooiAW6ZnON7kBml5mC1bb0VVHRQVzWNwzQ24XDVHu2jSYbJiZzffe3QNbZEUc0YU8e3ThzOmXKaFkj4eGeQN4JgM8u7+JtPve5X752u8UL6Qty77OsUV1QAEn9rGi6/tIpgxueau2TjcVh7/5U95ctA41g4ezdvjrax47yzGj7uPoqLT97n97a8tw/JyGmO8hcFf2nct3caWCGfe8xb/uPYEThxWeMSO9eMQhsGmMWMBqP1gPYom27tLxwYjliH2djOJNe0YwTSKQ8M9vRTv7Eo0794X51kzy78b/s1dK+6iNd4KwIjACE6tPpVJxZOYWTbz6NTixLty/fjqXsvV9AV35qaXjIXas3OBX/kkOMDmpu31Ed59bgcN67tQNIWhk4qZc+kI7C4rnZ2dPP300zQ2NlJUVMTChQuprq4+csf2IYYQvNIZ5vmOMK90hYnoJrMDHn4/ahDFR6ApZ69kLEr9mpVseudNmjZvJBWNUFg1iBM/9yWGTj0BE4WXP2jjXyt38e6ObqLpXKqIU2uLWTC2lPmjS/G7ZEuG40km08n2HffQ1vYsuh7F4ahk2LCbKCo8HVWVn/WnXSKjc9vzG3l9UzvN4RTTa/L52cLRjK2QwZ50aGSQN4BjOcj783wLz1ScxbJrfkhBQS7vVvsf17CkLkJrUufr/zOXSDLJH66/iocv+z5nVJbyNcuj7Gr6O7NPWoaq7nsEOSEE7//sHxRkSim/aQb2wN59b/781nZ+/fJm1tw8D8cAtX3HgvDzz9P8/RsBGLVp41EujST1J4QgvTVEfGUbydUdqB4rgc+NwDly4Dx6KT3FW01v8WzdsyxuXAzkRui8cPiFXDTiIny2o/g7Fd4FW16C7W/AjjcgFQabJxfojViQS8ye99EpI2LBNOteb2TNa7uwWFXGzK5g0rxqHG4r27dv5+WXX6atrY3hw4ezYMECCj7hUXR1U3DHjhZ+19COTVE4rcDHj4eWMcx1ZJuSmobB2n+/zMoXnyHYvAub08Xok+cyacFC8ssrEUKwZFsX79cHWbKtk3d3dgNwzvgy5o0pZcGYUmwWmYPteGEYCVpanqS55VGi0fU4HBWMHHErhYVzj3bRpMMglTX437d3cO/rdcTSOpfNqOb/nTVKJlSXDpoM8gZw7AZ5i/jLPBtPV53OkmtvoSiQK1vzbct4L5ylKZblwrtmMXH57sDmH+MH49h8PoHAjH4DruxL59YdhO/fil4mGPm9vfPNXfXAu2QNwd+vPfY7gG+szfUtLP7hDym46sqjWxhJGoDemaTroY1kW+JYS904RuXjnVvVL8H6XuuYOu+1vscTW5/g5Z0vAzCrYhZXjbmKqSVT0dSjeAPG0KF5FWx+Hrb9G9rWgzChqDY3eEtxLYy9aL8DuMRDaZY/u52NS3KpKUbPKmPGBUOxOTXeffdd3njjDXRdZ8KECZx99tmfWBPOXtsTab6/uYGloTgWBb5fU8p1VcW4DkOS9Y/StHkj6157mW3vLSUdj5NfXsn08z/H6NlzUXrOQ2N3gmfXNvPQsgaaQkksqsL8MaVcPnMQ0wfnyz58x5FodCNbtv6CUGg55eWXMGL4T9C0TyAli3TEpbIGf1i8jfve3E6R184PF9SycEL50S6W9Ckig7wBHLNB3v2L+OvpDv5VM4c3rv5PygJuzJRO8y1LeSdh0JExWfa5UhapGQA8msrScSZrV13EpEl/Jz8w8yP3s/I3j1LUVorvqmH4a3f/oGQNkwm3vsINpw7j+lOG7WcLxwYjFmPL1GkAFH3nOxR+7bqjXCJJ2jdhChKr2gk+uRV0gWJVcU0qxjW1BHv1/n9/mmPNXLfoOkxh0hDNpSn4wsgvcM3YayjzlH0Sxd+/ZDBXw7ftVVj1f7unDzkFhsyFsRdC3r6bXwZb47z58BZat4dBURg1o5TJC2qwe1QWLVrEu+++S1FREeeddx6VlZWfzPHsoSuj882N9bzWnRtJ9cQ8D98ZVMLJ+d4jvm89k2HL8iWs+/fL7Nq4HofHy6jZpzDr81/G7sr1GRRCsLoxxF/f2clrm9qJpHTcNo3LZgziwsmVjCw98uWUjjwhBPUN91NX91/YbMUMH/YjSkvPPdrFkg6T1ze3c+uzG9jRGcfvtPLPr8xgdPmxcV0qHdtkkDeAYznI+/tpTh4fciKvXPFfDCpwk9kVpf1/VrM4kiViwvI5ebxSmruju7Aojxttf6Oj/SVmzXrrgHLtJCIRdv78NTS3nRG3LOi76/vezm4+98elPHPDrE/N6E+ZnTupW3AmALaaGgY/9STqJzRKnyQdimxrnOhbTSRWtoEAa6UH/5mDcQzN2+96QgiWtizl8S2P807zOySyCU6sOJHLR1/OjLIZqMox0FxPCNj4LNQvgR1vQvuG3HRXIbiLYPLlMO0asPRvUp6MZlj1SgNrFjdi6oLxp1Yy8/yh7Gpu5MUXX6StrY1p06Zxyimn4HYfWoqHj2NzPMXr3RH+1tRFXTLNeK+Ti0oCXF1RdFjz7Q2kYf1aVr/8HFvffQe7y81Jl1zOuNPmoVl299MyTMErH7Tyr1VNLNnWSSJjUJXv5JJp1Zw5tpQhRZ797EH6NIhE1rJ5yy1EImt6RuK8qS8frvTpJoTgmTXN/PbVrTSFktyycAyXTq+StfLSfskgbwDHbJD3p0X8Y66LR4dN5alL7mRUmY/E6na6H97Mi1Edq9fGu1Ua/xqdC2T+u7aCsrpzKC05j+HD/98B72v9P18kb40H7dQ8yuaNA+C3r27hL2/vYNXP5qF9Ahcuh0tq0yZ2nH/B/2fvrMOjuLo4/M5u3N0NSIhAAgT34FLcixRaoKWlVKgDdeqFQosWaHF3Wry4SyAkxN2Iu2d35/tjaSgfBBLiYd/nyZPMZO6dM8nu7Jx7zvmdsm3bJb9gMHBgHVr0/FEoKyQ2J5Z7+fdIyk+iqWFT2lu1V31APQFRIVJwO4W88wmU3stHs7kxep2t0XZ/eh1afmk+x6KPsTNkJ3fT7+Jk4MR41/G80PQFjLWMa8H6ClKUDSFHIPrCw1E++07QpLuyls/Ks2x3cUEpt07Ecut4LNr6Grh2tKKljzW3/G9w6dIliouL8fT0ZPDgwbXWcuG/yEWRXUkZrI1PIyCvEEsNNV6zt+AFc0MctR9fC12dZCUncW7LH4RdvYSusQmdRk2geaeu6Bg8LNxQLJNzNCCJ43eT+dtfmRLrZqXP5E6OjPZWNWdu6MQnbCUk5FMEQQMvr5WYmfrUtUkqqomiUjlf/xXIlquxDG9tw7cjPdHVVNXqqXg8KievHOqrk9dxzQm2++iwrXkbto78mbaOxuScjCHjdBzX9TRR01XnTGYuBzpIKdLS4bIXRPqNpl3bXRgaelf4XAq5nNuf7MBQYobTl72RaqoxbtVljHXVWT2lXQ1eZc2Rtmo1qUuWlG07btqITvv2dWdQI0AURdIK04jNjSUxL5H0wnQuJl4krTCN8Kzwp473sfehsLQQHXUdvMy9yvZ7mXnRyqIVmtKafzCu74gyhTKVc08YAOrWuhiNcEbTsWL3petJ19kWvI1TsacQEWll3oopHlPoYdejfv19RRHu+YH/Lgg9BunK68W4CXgMUyp3OvcFHRMyk/I5vyOU+JAspGoCLu0sce9lTlhUIKdOnUJLS4vBgwfj6elZZwsJfrkF/ByVxIn0HAB6GuvzURMrvA1rPtKYGhvNxR2biLhxFQSBFj370NKnL3buLR85NreolH23Eth5I46ABKWtQ7ysGd/enm7OZqqFmAZKcUkad/xmkpN7B2OjTjg7f4SBgdfTB6poEBy4ncC8vf5YGmqxfKI37tb14zlVRf1C5eSVQ7108hbPoeO6E+zqocsWtxasHbyYbi5mZGwP5p5fGmle5twT5UTeSCFPso/h8xdilbudyMil9Oxxq9ISyzEXfeFgNnJXKZaTutDqy+N8PtSDKZ2dauYCa4HSlBTCe/R8aJ/dyhXo93r+VMnSCtO4nXIbiSAhKCMImUJGUn4SBaUFqEnUyCjKoFBWiIepB6GZoQxpOgS5KEddok5kdmSZ4EdaYdpD89rr26Mp1cRCxwJnI2fyS/Ox1bPFVs+W5sbN0ZBqMHT/UIw1jdHX0Cc6J/qptrYyb8WgJoNwMnAirzSPTtad0FLTql9OSg0jykXyLieSfz0JWXIBms5G6PewQ9PZ6JFee48jvTCd/eH7ORlzkoD0ANQkavR37M9Ap4H42PvUv4f59Ahli4bYyxD8N8iKlPvNmiu/Or1OoVEbrh9LwP90PABtBznStKMBfx/5i5iYGOzs7Bg9ejTGxnUXvUwrkbE6LoU18akUKUR6GuvzrpMlnYxqPj0yIzEe3yOHiLhxhbyMdKydXXHu0BnvwcNRU3/08yA4KYctV2LZei0WuULEzUqfwZ7WzOjeRKXs1wARRZHk5ENERS+noCASF+dPcHB4pa7NUlFNRKTmMXuLL1Fp+Xw5rAXj26vSN1U8jMrJK4f66ORt/OVtOqw9yt4e+mz0cOXX3ovo38KKe0t8iYzJxXRcc45n5CA9lICF/QXGzv8MvzuvIZfn491m8zOd8/oXm7EotCV6hBNTDwTyz3s9adYIajfyr1wldtq0sm2DYUOx+eGHRnmDzCvJ41rSNS4mXCQ2N5aIrAhSC1OrNKeaRA0nAye62nTFQNMATzNPTLRMcDZyfmZlx6L7D/GFskKW317O1XtXKZGXIJVIicuNK3dcS9OW6KrrMtJlJC7GLjQ3bv5M528oiAqRwrtp5J6Ko/RePlIDDXQ726DX0QpJBfuiBaUH8VfkX5yMOUlifiLeFt7M7zS//v7tRFGZ1vlvq4bUEMiJB3VdsPWmKLeYm8bf4XcxBzVNKa372qNln8+x40fJz8+nf//+dO5cRz0F75Mjk7MrKYNF0UlklMrpZqTHz272ONVCGqeoUBBy5QLXDuwmNToSDW1tOgwfi1ffgWjrP/r5JleInA1N4bdT4dyKzUJTTcKYtnZM6+KEi6VKrKWhoVDICAtbSHzCJqwsR+DiMg8NjdptP6KiZigqlfPlobtsuxbHyDa2LBzRUpW+qaIMlZNXDvXRydv96zxart7D/u76rG/ZlB+6/cLw1raEf3iO6GIFnu94801sEq7b4nHxTqPfzDGcO98ee7uXaNr07Wc6Z0ZsPOm/+pOsVcr7Orpc/qR3o3KEZGlphHXrXrat064dDps2NrhrFEWR5IJkQjNDuXLvCpsCN5V7rJ66Hl7mXvS064lMIcPL3Ismhk0QBAFdNV3ySvMw0DBARKRQVoiWVIv4vHjSC9MpVZTSzKgZZtpmtXh1oBAVXEq8hJWOFQl5CQSmBxKZHcnR6KOPPd5Ozw4tNS2meExhaNOhqFewKXdDQhRFSuJyKbiRTL5vMoKaBIO+juh1skaoRE+0S4mX+O7qd8TmxtLDtgejXEbRza4b6vW5ubJCAfduQ+RpuLAUirMByDXsxLX8iQTH26NrqIFLFxOSSkPwD/DD2tqaSZMmoadXt4tUclFkYUQiq+JSEYFXbM34rJkNWrXQfgEgOTKcm3/vJ+TyBQSJQKeR42k9YAha5fxdYtLz2X0znu3X40jNLaatozFv9namh4t5g6rNVgGxsX8QGbUUqVQHT89lGBm2rWuTVFQT+28lMG+fP1aGWnw4wI0BLSwb3HOMiupH5eSVQ3108nb9Oh+v33dzsJsBf3ja81n7JUxoa0f8vAvcKVYw+JeedL8YwPjNKXh01qDjaEuuXhtEm9YbMTHp+sznvfnbLiwTrNjtoOCdN3o+fUADQywtJe6N2eSfPw+A9fffYTRiRN0a9RREUcQ/zZ9j0cfYGLix3OOcDJyY4DaBHrY9sDd4ejPqhkpeSR4pBSlsDNzI1XtXic+Lf+j3TgZOTPeczgjnEXVjYA0jzy0h61AEhXfSULPUwWhoM7ScjSo8vlReyt6wvWwJ3kJUdhSWOpb0dujNmOZj6m90778U50HEP3B9HUSdJUtmg2/+SEILu4NUAyP3UsIzb6Cto82LL76IjU3d95rKk8n5NDyBbfcy8DHWZ5NX01pR4vyX/KxMLu/eyp1/jqGmoUmLnn1oP2wUBmYWjz2+WCZnn28Cv5+PJDI1HydTHV7s4MCUzo6qVM4GREFBDHf8Z5GfH4a19WiauyxATU0VnW0MhKfkMe3Pa8RnFuJiocdnQz3o7qJSV32eUTl55VCfnby/uxiyrrUVc72WMtHFgvRffCnqbIPtkCY0O+fHO3viaN3aHo9BQYSGfknPHreQSnWe+byJKRkkf/cPGlq6eHwzqEL1Pw0RUSYjvHcfZCkpmM15E/PZs+vUnlJFKemF6aQVpnE96TqnYk+RkJfwSKplF5suJOYlMrjpYNpZtqOtZdv6IZdfx5QqSjkQfoAtQVvKRGA8zTzpZtuN9lbtaWfZrtGtdJYk5JG2PgBFbilSQ02MRzmj5WpSqTkC0gLYF7aPQ5GHKJQV4mzkTH8nZe1eE8MmNWR5NSIrgZgLsO91inLy8csfwu384RRLRYos71KgyMfHx4cePXrUehP1x7EmLpVPwxNorqPFEjf7WhFm+S95mRlc2rUF/1PHkUgkOHq1oduEl7BwavrY40VR5HJEOktOhnEtOgN9LTWGt7ZhZBtb2jpW7rWmom4QRTmRUUuJjV2DIKjj7vYdFhaDG9398HlEJldw0C+RFWciCE/Jo7mlHl8Ma0GXZrWbfaOifqBy8sqhPjp5u3+dj+ea3RzpbMhab1NmNf+V8caGFO8IQRjRjLQWRgy4EcrcPXdo6uCB2wubKSyMpX27vVU67193Ejmy5gCf6LaELnrYDWtTTVdU/1Dk5xPSVqkeajB0KJaffIyaSc0/uBTJitCQahCdE83aO2vxS/Ura2z9X9Ql6tjp22GjZ8P0ltPxtvB+5hq45wmZQsb0Y9NJzE8kKT+pbL+XmRdjmo9hpMvIJ4xuWIhyZc1e1v5wFAUyNJsbo9/TDs2mhpV6iCuVl3Is5hjHoo9xNu4sIiIdrToyymUUXWy6YKRlVHMXUV2IIsRepiTgKP7nUricPQaZwR2ydHIw0pYyYuwknJo+3pmpTc5n5PJ6YAxppTJm2Zvzhr0FFpq1my5bXJDPjUN78TtxhMLcHJq160i7ISMfq8j5L3EZBWy9FsuWKzHkFMnwsDZgQgd7xrS1U0X3GgB5+WH4+8+moCACS8uhuLt9h1SqXddmqagGFAqR3b7xrDsfRURqHq90a8Lcfs3RUlc9LzxPqJy8cqjPTt6xTkasaWfAS06/MUHUQjgTh+7rrTiqUcrcoFi+OnIVscQd97HzsbJ6ARfnT6p03k/23uF6VDrfpcZjijWOn/ZAqqtRTVdVM4iiSHJUDgeX3kYhFxk0yxPHlg8KzQtzSwi+nETrfo+qUYkyGXGvv1GWviloamL361L0elZvqmqpopTj0cdZ5bfqEYVJPXU9utl2w17fHnWJOiNdRmKpo8qxrw6yirL49uq33Mu/x+3U2wAMazaM+R3no6P+7BHv+oaoEMm7kECBbwqlSfloOOhj0N8RLefKK00WlBZwIuYEe8P24pviC4C3hTcjXUYywGkA2moN4MFQISdox15OnTXFRPcySXoZZAv6eJsW0q9rW7Q9h4J63V1HgVzB0phklsYkA9DdWI+5TlZ0rgUVzv8il8nw/+cYZzatRV5aimuXHnQZOwkTG9vyxyhETgensPFKDOdCH2QanJzbE2eLhi/U1Zj5V4EzOGQBGhqmeHmuQk/Pta7NUlFNFMvkfHkokN0347Ez0ubrES3p6qyK6j0vqJy8cqi3Tt7a3ZzoaMzvHbQZbbWMFzMFtO6mYfN1V76KSWJPcBjfhsUQH2pP08Gf0K7zN5ib963SeXv8eJperubMtFNQuiMVRVMpzWb5VM9F1QCFuSUcXulPUmR2hY6fvar3Y/eXJiWRtmIlWTt3lu0znzsXk2lTkWg8u5ObXZzNnrA9bAnaQkpBCppSTez17Wli2IRBTQbVv/5ljZiC0gKmHp1KcEYwAC95vMTctnMbVXRUFEWKQjPJ/isSWWoh+r3s0fexQ/KMCmxxuXFcu3eNv6P+5nrSdQDGu45npMtIPEw86v1CRNj1ZI6vu4uBsRw9tc0ESu3RpIgXpBdxd7ICtxfAdTAY1E3dXlJxKbuSMvgtNpkcmQIPXS32tnHGSL12I2MKuZw7/xzj0q4tFOZk06rfYNoPG42hheUTxwUkZLPoeAinQ5TOXi9Xc173caZDE1UqZ30mJ8cf/4A3kcsLaN1qnaqnXiMjICGb+fv8uZOQzes9mzG3X3PUaknsSUXdoXLyyqG+Onlea3dzsoMxqzupM8h4OZNjZWgl5+P8fXdG+4aReusaP5kaceOoNrZdl/HChHWoqz97j6i4jAK6/3ia1VPaMqCFFdcWbsYq1x6z2S3RcahfEsxyuYJrh6IIunQPeamCJq3M6DLKmYSQTI6vu/vQsdbOhtwLVzqBzdqYM/A1z3LnFUtKiJ0xk4Jr18r2SXR1cT71D1JDwwrbF5sTy+agzewP349MIWNI0yFM9pjcMIQtGjnrA9az6Oaism09dT1+7vkzbS3boqWmVYeWVR9iqYKckzHkXkxEoiXFeJQL2h5Vew9HZ0dzOOowO0J2kFGUgZ2eHUOaDaG/Y39cjF2qyfLqJyu5gCOr/clJLcTBW5+EosvEJ6dho57DmNLdmHB/gaj3Amg9qU4cPlEUWROfymfhiZiqqzHHwYJZDo8XRalJSouLuLpvJ76HDyKXyeg4cizth49BXePJC1EFJTL+8rvHb6fDiMsopKWtAa/2aMYQT2skjbSuu6FTXJzKzZvjKCpOwMFhJk2c3lSlbzYiFAqRn46HsOpsBG3sjVg0rjVNzGq3BlhF7aJy8sqhXjp5SxfgtW4np9ubsqIL9NRZwfSwYrRkCly/6kLr83dwunaKJf16cuyPZCzcrzLytc+rdM7t12KZt8+fW5/1x1BbneykJO79fB2JsQYu8/rXm1X7nPRC/vrNj8ykAqyaGjDwNU90DZ/8EFJSJGPNO+eA8qN5/0/qsuWkLVv20D6nPbvRbtHi4bnlJfil+nEg/ABROVHcSb0DgImWCeNdxzPOdVyttyFQ8XT+if2Hdf7r8E/zL9tnp2fHxx0+poddj3rzeq8KsqxiMveEUhyWhbqdHvrdbNFpXTXnQaaQcfXeVfaE7eFc/DmK5cUAzG07l9HNR2OgUT/uof9FLldw7WAkvsdiERFxG6bGpRtnEUWRNvrp9MvZjjbK68CuA7QYCc0HgGmzWrUzprCYyXciCSso5gMnK2Y7WNRau4X/Upibw9nNf3D3zEm0DQzpMmYiXn0HIpE+OeqtUIgcDrjH+ovR3IjJxFRXg7n9mzOita2qn1c9RCbLJyJyEfHxG1BTM8TN9WuVKEsj40xICu/suE1BiZyFw1syrn3jVd5+3lE5eeVQH528XUsX0OqPnZxpZ8byrqW0l67kzZAidPTUcfioPU3O+THg9D5+fWsO+5b9hY6+NmPfm1Clc87ZdovYjAIOzH7QgsH39z1YRFqgNdwas87OVb2sZyYhNJMDv9zCsokBSZE56Jto0XlkM5zbWVT4A8n/TDzntocy/N022LlWPOJZePcuSZ99TtHdBxFCvdP7WRO5hYMRB5GL8kfGfN31awY6DWw0kaHGTKm8lL8i/+KnGz+RW5Jbtv+TDp8w1nVs/e4hVwFEuYLCwAxyT8dSmpiPdgtTDAc1Qc2s6qv2xfJiPr/0OakFqfim+KIh0WBos6H0sOtBV5uu9S4VNi4og9Obg8lNL8KxjRFS+1T87txCIpHQp1tH2mrHQdBfEHpEOUDXAhw7Q9uXoVmvWrFRIYr8EJXE0phkJMDZDm646NbNfSQ5KoLT638nIfguusYmePUZiHt3H4ytnh7tPB2Swo5rcRy9qxQ/GtrKhrf7OONsoZLwr2/k5YUSGvYVmZmXMTXpgbv7j2hqquT4GwsFJTJmbfblXGgqfd0t+XyoB/YmjacmXYUSlZNXDvXZyTvf1oyl3QvxlK3ko9ASdOz0YKYH3a4GM/HwRr77eh57lv1CaWYvpn7z7PV4CoVI+29OMr69PR8OdCvbX1JYSOCnB9DTNKHZl30r1Xi5KigUInkZRahpSPnzwwsP/c7cQZ9hb7dGS7dyD9/ZqYVs/vQybp2t6DPVo1JjQzJCOOC3jb8DdpNh8MCpVBOk9LT3oaddTwY4DWhUYh7PI0n5SWy4u4HNQZvL9jkbObOizwqs9azr0LKqI4oiBb4pZB+NRlEow6CvA/rdbRGqKVKUVpjG1qCtrPVfi4iImqDGSJeRjHAegZd5/an5UcgV+J2K59rBSGSlClr2tyBZFkRg4F18fHzw8fGBwizw3Qi3t0JqkHKgpSe4DwGn7uD07L1IK8rZjFzG+0Vgp6XOcndHOtayKMt/SQwN4vLubUT7+YIg0KrvILqMm4SOwdNT2CNT8+i96GzZdn8PSz4f1gJbI1VqYH1CFEWSkg8QEf4jCrGUtt7b0dWt3Ui2ippDFEU2Xo5hyclQsgpL+WSQG6/2UP1/GxMqJ68c6q2T9+dOLrYxZ3HPXJrkLufHWBEtdxMihjsw6U4k805tY/K7wzm9dzXJN6fy6tKeqGk828p50L0cBi09z9YZHenyf2pMIYdPo31WAm11cBjXvjou74mUFMnY+c11slMLy/YZW+nQ40VXdAw0MLF+9rzy5bNOYedmzPB3KtYaIi43jmW3lnE46vBD+8eelzP0qohWqXLb+exZ1C1rv4ZGRc2QXpjOzpCdBGYEcibuDADuJu6s6LuiwafeKkrkZB+OIv/KPaQGGhgObYZ2S9NqS9FSiApuJN3gfMJ5jkcfJzE/kXaW7ZjgNoF+jv3qTV/H/Oxirv8dzd1zCZg76KHllobvnWvY29szevRojIyM7h+YBsF/K7/Cjj2YoM9n0HwQWFZuwagy3Mkt4P2QOAJyC+lpos+3LnY00ak7oabS4iJuHf2L81vXA+DSoQsvvP0hUrWnp2LmFpXy58VofjsVRqlcxNZIm6ldHJnerSlSVd1evSEvL4SAu29TUpKOd5vNKvXNRkZOUSlvbPblQngaM7s34a0+LuhrNexsFRVKVE5eOdRHJ2/nrwto/cdOLrc25+deOVgkL2FNmjpanW042t6Qz0JiWe53HO+xNty5uo3okx8y9pN2WDg+m/1rz0fy07EQ/D7v/0hvFVEUuTZ/I5Zye2zndUbdsOZWYPOzi/l7+R1SYx+kzU36shNGltUTIdvy+RUKc0uYsbjHE49LK0xjtd9qdofuxkTLhFc8X6GFaQtambdCEAREuZzMHTtI/urrh8ZZf7MQw1GjVDUNjYh/Yv9hwYUF5JXmAXBj8o1GoYhampRP5t4wSmJzkRppYvZKS9QtqjcSrRAVnIg5wdagrfim+GKpY4mPvQ/TWkzDTt+uWs/1rCRFZnNqYxAZSfmYt5IRk+uHTCajV69etG3bFo3/qusWZcP+NyAnARJvKfdpG0O76eA+FGxaV7t9clHk15hkfohKQlMisMTNgZGWzy6wVR2kxkaz8YM3AdA3M6fb+Cm4d+9VofteTlEp+3wT+PygMv3dzlib2b2cGdPWDnWVAmC9oKQkjes3RlFcnISr69fY2oyva5NUVCOiKPLjsRBWnonAyVSHn8a2or2TShG3oaNy8sqhvjp5bf7cyRUvC37snY1e/PfszNFHZ1BTfrUT2B0Yyqq8GMy8w8hMD+DW5rfpPcUN9y7Ppgz3yvrrFMvkbJnR6bG/vxcQTMGGWEQ7NZzfrphwSWVJT8jjr2V+iCIMedOL0mIFZvZ6qD9jdPJxbP3iCplJBcz8pQca2o+uPueW5PJnwJ9sDtqMmkSNGZ4zeNHtxSf2BisMuEv0mDEP7bP+5huMRo+qNrtV1D1Lbi5hXcA6AFb3XU1nm86NwpkvuJ1Cxu5QBKkEw4FO6Ha0RqiByIpvsi+bgzZzIuYEAAOdBjKk6RC62Xar89o9hVyB/5kELu0LR11XpNA6mPSsFAwMDJg4cSJWVlaPDirOg7v7IOos3N0PilIwbqJ0BN+8DrrVG/G9V1zCO0FxnM3M5QVzQ751scOylpuo/z+psdEcWbaI1JgoTGzsaN65Ox1HjEWtAm1n5AqRG9EZbLwSw9937mFjqMUHA10Z1spWFdmrB8jlRYSEfMq9pL24uX6DrW3Vav5V1D/CknN5c+stQpJzGd7ahu9GeaKjoRJIaqionLxyqJdO3tIFtFm/k2ueFnzfJxtp1Jf8VWSO0YtuvCnkEnLrJqts9Cg1+RMtLRtubx+Pk6cZ3cZVXsq8VK6g9ZfHmd3bmTd8yhdXufbDZqwzHDCa4Ya+S/WmJsYFZXB0tT/6ptoMedMLPeOaERoIuXKPk+uDGDevPeYOSgGA5PxkPr/0OQl5CUTnRCMVpExrMY2XW76MoWbF2yaIcjmJH35Ezt9/l+2zeP89TGfMqPbrUFE37AjewcKrCwHQlGrya69f6WLbpY6tqjqKglKyj0aTfy0JdWtdDAc6oeVaMyu7WUVZ/HD9B3yTfUnMTwSgt31v5neaj4VO3aY856QXcnpTMPHBmZi6Qrp6MOkZaXTq1Im+ffsikZQTaSotgvATsGsaKGTKfc59wXMsuA4CrYrfR56EKIpsvZfBByFxmGmoMcnalLlOVqjXsVMUdfsmF7ZtJCU6An1Tc/rNnE2TNu0qPD4wMYcfjgZzNjQVNyt9JndyZGIHB1X7hTpGFBWEhH5BQsIWHB1n0azp+41iYUvFA2RyBesvRfPN4SD0NdVYObmtqoF6A0Xl5JVDfXbybnha8m2fLGQR8zhRYof5LC/6J8ahffMCK7q1Iy53Jo4OMwk61p2SQlmFa83+y43oDMasusyB2V1pZW9U7nG5aWnEfnceDQMdnD+rnpYKhbkl/PGBUljFoYUJA2a0fGyErbrIzShi47xLGFprkTDo/EMCGwCeZp4s6bWkSg+bipISkr/+mqxduwHQ7dIZu5UrkWg2/BQ/FcoG919c+oKTsScBZXPw+R3nN4qHn+KobLKPRVMSnYNeVxsMBzWpMbElURS5mHiR10++DoCaoMaAJgOY5DYJT/Pye1nWBlF+qZz8MxBBXcSwVTZ3w29hZmbGpEmTMDZ+SqpkRiREnII7uyDuinJfk57QeiJ4DAf1qqe7xxQW83ZQLFey87HRVGdHq2Z1psD5X9Lj4zi5djnxQQE09W5P1/FTsHBqWuHxN2My+erQXfzis2lqrsuHA9wY0MKyUby3GiqiKN539DbjYD8dZ+dPVP+PRsjdxGzm7wvAPyGb70Z6qlotNEBUTl451Fsnb8MOfFtYsbBvFvnhH3C21AnLuW1xDQyj48UjLJk0kLuRY/DyXEXUlWb4n03glZ+6VfoGvPRkGOsuRHLrs/5PTZO5vX4/ZsGmaAwwx6KX2xOPfRr3IrLZ+9NNAKyaGjDyPW8kNVyTEZcbx8EPwgBY1fltAGZ6zsTH3gdXE9dqrbUS5XJiprxEoa8vAJaffIzx5MkIT+k1paJhkFWUxaiDo0gtTKWfYz8W9VzUKB5+RIVI3qVEsg9HITXSRN/HDr0ONassmlOSw/6w/WwN3kpCXgIuxi6MdhnNKJdRT0yVrlGb0go5tTGIxLAsmvno4BdzDrlczoQJE2jSpEnFJsmMVqp0Bh6EdOV9B68J4D0FHLpAeZHBCnI9O5+3gmKIKixhubsDo63qvq5GFEUu797Gzb/3UVJYSMte/ek55RW0dCuuDno9OoMfjgRzIyYTR1MdZvs4M7adXaN4fzVUoqKWERn1CzbW43BzW4ggqD7HGhsyuYLPDt5l69VY3urjwrt9XVTvuQaEyskrh/rq5Hlv2MGtFtZ81TeT/Ih3OVHijPHH7fG4FcLQE9v55q3++AfOpHOnf7gXosPR1QFM+6HrUxuD/z/jVl3GWFed1VOenl4jKynh9rydmKhb4vRlbyTPWC+XnpDH9q+vATB+QQfM7GpWHjwyK5KPz39MUEYQPcNfxD21E50+NKVt01Y1el6AjM1bSF64sGzbeMoULN59B4mOqt1CY+ClIy9xK+UW9vr2HBhxoMH31fuX0qR8MvaEURqXi463BcajXaqt3UJ5yBVyjscc58+APwnKCEJbTZsRziN41evVOlE1FRUi53eF4X86HlMnDfJMg0lITKBLly707t0baWUWbFKClLV7d3ZAZhRoGoDXeGgxokoOX65Mzqt3ozmdkUsHQ12Wezhir/X0mriaRlZaypU927l5eD86BkaM+vhzTO0cKjxeFEVOh6Sw8kwE16MzaW1vxIcDXB9Rf1ZRO4iiSFzcn0RELsLMrDctWyxFqCdKuSqqD1EUWXk2gh+PhjCitQ2/jG+tcvQaCBX1ZVTv2vqACAggVdzflpRShEiKoPS/TUU5JfIkBEGKlpYdprZKJykjIb9Sp8nOKSIgNrPCOdhqGhoYDW6CVK5G3PZrlTrXuR2hHF93l5SYHA4uvY2ZvR4zFnevMQcvrySPZbeW4bnBk+EHhhOUEcSwZsMYPUwpHBO6uahGzvv/mEyehJv/HUxnTAcgc9MmQrzbEuTmTkl0dJXmlmVmkr5+PYnz5iOKIsVhYSiKiyktlpOTVvj0CVRUmY2DNjKs2TDicuPos7MP049NJz43vq7NqjLqVrpYvNEK/V72FPimkLr6DrLMmn3PSCVSBjUZxM6hO9k/fD8TXCewLXgbg/cO5qvLX5Gcn1yj5/9/BIlAj/HNGfyGF+nRJRikedGxXWcuXrzI119/TWFhJd5jFu7Q6xOY4wsvHYA2UyD4L1j/AnxvD0c+gpTgStuoryZlW6tmvOVgwbXsfF64GcqFzNynD6xh1NTV6TZhCiM//AxBIrD+vTe4tGsrFV1DFgSB3m6W7JrVhW0zOyFXiExce5WX/rjG7bismjVexSMIgoCDwyt4uP9ASsphgoI/QaEorWuzVFQzgiDwho8z34/yZP/tRL7+K6iuTVJRzagiefWAnUsW4L1pB/5uNnzWP4P86NfZUdiCog+9GesXwcfn9zB0kiFJSQfo2vU8okLk93fO0mFoU9r0q9hqaX52Mes/ugjAgK864GxRMWdLFEWufroe61InrN5vj6Z5+eNEhYhMpiD0ahJntoQ89LuXf+yGjkH1rzjfTbvLpMOTkIvysn39HPsxr+O8smjA8lmnkEgFXl/eq9rP/zRyjh4l4Z13H9rX/MYNpHpP7/+Xn1WM36k4bh2PBcAh4RSGmWHk6DuRp2dHumkLdPPvka/7IL1u1m8+SNVVazc1zbV71/jm6jdEZkcCsNhnMf0c+9WxVdVDYUAa6duDQSZiMMAJ/Z52NaLA+TjSCtP4I+AP9oXto0heRD+Hfox1HUt7q5rv2flfkqNyOPq7P8WFMpwGyLl09RzGxsaMGTMGW1vbZ5tUFCHyDNzaBIEHHoi2DPgOWk0AncqlX8YXlfDSnUgC84uYZG3C5862GKjVfVpdaXERZzetw+/EEZp6t2fA6+9UqJH6fxFFkd0341l0PJSknCJ8XM35eJAbblb14zP7eSI+YSthYV9jYtwNT88VSBpJ9oKKh/nucBCrz0XyxVAPpnWtYIq6ijpDla5ZDvXZybvrasOCARkUxMzgj6LWvDbIhCyZnN9uHcVjQCqFRfG0a7sDgF3f38DYSoe+057enFcURVa8frps+/UVPg8pxxXklHBhZyhtBzthavOoE5ccFk726lAkVpo4v9/nsedIjsph9w83yrYFiYCoUL60pizsjIFZ9dbanIg5wdwzcx/at6DjAka4jHik1m7/L7dICMnk1V97VmuLhspQeu8e4b0ebkfhtGc32i1aPHJsSkwON3f5ERVejCAqUAjli9MYZkegUZxNqoV32b6Ow5ri2csOzRoUtVGh5HLiZV498SoAA5wG8G23b9GQ1n36XFWR55Rw77urIIKmsxEmE1yR6tXedeWV5LEnbA8rbq+gQFYAwJJeS+ht37vW0onys4rZ/vU1dAw16DzJlr+PHiA9PZ1hw4bRunXrqk1ekg8nPoeYi5AWBoIEPIZB22ng2BUqeI1yUeT3uFS+i7yHtlTC8XbNcdSuH6JPwZfOcXT5YtQ0Nen98izcu/lU+n8nkyvY4xvP0pNh3MspYoy3HfMGu2Os2/DfYw2Je/f2EBT8CQb6Xnh7b0ciUX22NDZK5QqmrLvKrdgsPhjgyozuFRdRUlH7qJy8cqi3Tt7mHQQ1t2XegHQKYl9meUk7pvVW2rc97jr6LU+hqWlFyxa/AHB6UxApsbmMn9/hkfnys4qJupOGR1drJFIJd07Hc35HaNnvZy7pgYbWg5v08lmnyn4e+Z43Ni5Gj8x5dfFmbFMc0Z/UFEPPh1eyC3JK+PPDCw/te325D3mZxegaaSKtRsU+uULOCr8V/H7ndwC8LbxZ5LPoiTU8gRcSOb05GFtXY0a8W3lF0uqkOCyMyKHDyrYNBg/GZtHP5KQVEeGbwpX9EYgiaBWmYZdwFhcXdSwmjkGrQyeCryZj4aiPmroUY2sdBEEgyM29bK7I1zcRHZRTtj32k3ZYONaP13hjJqsoi08vfsqZ+DP0c+zHYp/FdW1StVEUlknG9hAEqYDJJHc0a/n1JFPI+PDch2X99uz17RnlMorRLqMx1qr5JuEpMTn8tcyPorxSWvjYkKkZzO3bt+nduzfdu3evHoczLxX8tsLNDZARAabO4P0StBgFRhVTvTuXkctU/yjUJbCmRRN6muhX3a5qIDMpkaMrlpAYEoide0t6Tn4FK+fmlZ6nRKZg85UYlpwMRU0q4bMhHgxvbaOqH6pFMjIvc+vWS1haDKZFi8UqMZZGiCiKzNhwg3+CU/hsiAevdFNF9OorKievHOqjk7djyae027KdYGc7Ph6YRmH8ZH6SdeXnAaZEFBZzuDCGQqNFWFoOxbnZBwD4nYrj8t4IXl3aA4lUgkKuoKRIjrqGlFVzzpTN7dzOgoLsEhLDsjiuXUL/Qg1e/LwjJta65GcVc+2vKAIvJD5kz+xVjzZAz8/OIuLLE+joGdLsi35l6Vs5aYWc+COQpMhsRsxtw72IbLx62T3kRFYHoihyJu4Mb51+C4kgYU6bOUxtMbXCwhf/OrLthzShw5C6v3HJMjMJ69yFPF0boh0HkGKhFMLRLkjBrfg6bmO7YODTEzWzJ9dPijIZwS0fSNDrjhxLmNsEgi8nAfDKT93Q1letetcGb/7zJmfjzwLgZe7Fp50+xc2kaqq09QF5djHpW4MpiclBoqeO9byOtZa++S+iKHI2/ix7wvZwMeEiGlINJrpNZGzzsVjr1awaaFF+KYdX3uFeeDYGFlqYd87lytXLeHt7M2zYsKdPUFFEEaIvgO8G8N+l3GfjDW0mK2v61J78Po4pLObNwFiu5+TzR0snBpsbVZ9tVSTo/GlObVhDUV4unUaNp+OIcRVqov7/pOQW8eXBQP72v0dXZ1O+Gt6SZk8oIVBRvdy7t4/AoPcxM+1Ny5ZLkUpVgmKNDVEUeXPrLf72v8ef09rTy61u+5mqeDwqJ68c6rOTF9rMjg8HpVGYMIGvxZ5s7mdKke8VVrZ2Ib7wFZo3/wI724kAJIRksv+XW2UO29HV/kTcSi33HPpexqyLSGJcviYj3/Mm8nYqfv/Elf1+1m8+Zc7hoNc8adrG/JE5/Lb/heltQ9R6GCE2t+fuhURCriidiWHvtMberWYkvQtKC3j/7PucTzgPwOp+q+liU7mm1FF30ji84g7wqMKnrFSO/5kE7FyNMbPXI8ovjaO/ByAqRN5Y2atGVouTo3K4cTiKaP90tArTMEu/g1PyORw+egujUaMQKqm+l/rrb6StWAGAdqtWFL37C/+sVxZRqyJ6tUOpvJS1AWv5w/8PiuRK0ZJZrWYx2X0yhprV0yC7rhDlCpJ+vIE8uxjtlqYYj3N9ZrXdqpJZlMla/7XsDt1NgayAHnY9eKvNW7iauNboeX2PxXD9rygMzLWx7lbMmXOn6Ny5M/369Su/cfqzkp8O/jvh+jplOwZtY6U6Z8vRYNe+3HTOArmCgTdCSSwuYZm7IwPN68/rTlZaytV9O7iydwfm9o4MeONdLJs0e6a5/glK5stDgSRkFTKrZ1Pm9HZBS10VWaoN0tPP4R8wG339lrRu9QdSad20PVFRcxSVynll/XV8YzNZ9qI3fT0s69okFf+Hyskrh/rr5G0jrKkDHwxOpTBxDAskfVnZVR/z6+dY1t+LiOSXaeW1FjMzpXhIUV4p694/T/8ZLXBpZ/lQyiVA67723D75wIlL7GFCQEwm/WMe/Xf/66AlhmWxb5Gyz9vELzpibPWwOEhJUTE3P9mKpbo9J3IEZCgfNDoMbUL7F2omOhaWGcaog6MAGNd8HHPbzUVX/emiJY8jMymfrV9cxcxej/HzO6CQK7hzOp6Lu8PLHaNnrMnU77o+0/n+n+ToHG78rXTsAHQV2TiEHMBePxMNMxMKriibKVt99SXG48ZVen6xtJRgTy8AtL29yZ7xPRd2Kvt1vb7cp8b7Eqp4gH+qPxMPTyzb/qH7DwxuOrgOLaoeCu+mkbE9BHUbPcymeiDRqTsRhoLSAg5EHGCV3yoyizIZ4DSAaS2m0cLs0TrX6iI1LpcDv9xCIYqYdMgiIOQWxsbGTJ48GVNT05o5aZI/3N6mFGwpzgFdC+j+HniOBd1Hz5lVKmPAjVBiikrwNtBhZ6tm6NUDQZZ/SQwNYt+PX1OUl0vHEePoOn7yMy2kFZXKWXU2gt9OheNoqsMng9zpp3oYrRWysm5w6/ZUTIy74OW1SpW62QhJyytm+vrr+Cdk88NoL8a2UzVMr0+onLxyqJ9O3me027qViCYOvD8oncKkYbynNphF7bRpc/koi8a3JjR6Nh07HEZP78Fq9fqPLuDW2Zp2g51YM/ccCpnyX6mpo8b0n7uTlVJQ5tSs0Minl6MJ5qfSHzp31zHOtO77QKHz/53F137tiZqGlNJiOb+/fRZ1eQz9jO2JKcrjbonBY53B6kCmkLHs1jI2Bm6kVFHK1sFb8TT3fPrAp/D/1/cvrXrb43dK6RS3G+xE+xecWDn7DADeAx3pPOLpK87JUTlcOxSJo6cpnj3tyMsqpqRQRnJUDuE3k4kLygRAV5GFU9AeHMyLMX/zDfR6KaOFWfv3c+/jT8rmc/W7jUSzciIKRSGhRA0fXradNm8Hdy6lAfDKz93QrkXxDBWwP3w/n178FIAxzcfweefP69iiqlMcmUX6lmAU+aUYDm6CXnfbOq2NKpGXsM5/HX8EKCOoDvoOzGo1i4FNBtZIH8Os5AJOrg8kOSoHh25q3IlRZhiMHDkSD4+nC2E9M3IZBOyBu3sh9KhyX4tR0HoSOPd5KLonU4h8Hp7AHwlpeOppc7RdcyT1qH5NqcD5B34nDuPcvjN9pr+OnvGzZYKEp+TxxcG7XAhPo4+bBV8Ma4G9iSqNsKZJSz+Dn990LC2H0cJjsao+shFSWCLn7e23OBmUzPKJ3gzyrNnUeBUVR+XklUN9dPK2L/mM9lu3EuFkz0cDcyhI7c9rmsP4sZU2A0/vZeEML0LCP6Jnj9uoqT0oqD/0220kUgmt+9iz/5db2LsbExeU+Ui7gLiMArr/eJpVk9sSsSwQABsXI0a+5/2ILYlhmexbdOuJ9jYhkJaGnli81Rot2+pPB9oXto/PLn0GgK2eLXuG7Xnm6N3/c+tELJf2PIjc+UxyxaPb4wv4MxLz2fbVVQDGzWuPucOjYgbyUoWyPnJfxBPPq64h4FlyBcMzm9Bu4YHZm7PR83lUbU6el0douwdy8Xp9+mD16QLUrawqfI2iXE5ol64osrOV1zxoEZmFWgA1ln6qonzySvLovK0zAJ5mnizrswwTrZpJba4tShLySPlNeZ/QaGKA8Qhn1C2rf7GnMsgUMjYGbuRo1FGCMoIw0jRiottEJrhNqHaRFrlcwZV9Edw+GYexo5QMvQAyMtPp1asX3bp1q/n3WM49CNgNZ39URvf0LMFrHHScBYZ2ZYftTsrgzaBYWuhp8bd3c7TqWTT/9vHD/LNOmWbeadR4uox7tqieKIr87X+PhX8FkZ5fzOs+zszu1QzNehTBbIzExa0nNOxr7O2m0bz5p3VtjooaoFSu4M2tvhy7m8zBN7viZWdU1yapQOXklUt9dfI6bNtKuKM98wbkU5Tek1E6o/i9hTZjjm/l/deaEhO7mp49Hna+Lu0NJ/xGCm5drLlzKo6Xf+jGmrnnGDLbC7v/1MftuB7LJ3v9ufVpf2RZxSSGZtGihy2ScsQTkqNyiPRLxfdozEP7ja10ePHzjqTHxpH2623UzHRo9nGfanugyS3Jpcu2B7V2Q5oOYWHXhUgl1ftBnZ1aiIGZVoXsTonJYdd3D1pDvPh5R3QNNQi/mcKZLSHom2qRm66sv+oxoTl2bsZs/eIqOoYa2LoYkZ2cR/P8a6gfWIOGpQXm783FYPDgp547beVKUpf+qtyQSnH44w90Oz6qpPokMnfsJOlzZeToQudvKNE0YtBMd5q2Va3G1TYJeQnMPTOXwHTlIktr89b81PMnrHQr7rzXN0SFSOHddLIPRSDPL0W3gxWGg5rUWa3ef7mbdpf1d9dzKvYUMlFGP8d+dLftznDn4U8fXAkSw7M4utofERGaRRGXFIWRkRFTp07F2Ljm1T8RRQg5AjfXQ9gx5T6LFtDnM2g+AASBrffSmRscR28TfTZ5NUVazxZ5spKTOLtpHeHXL9O0bQd6T3sNQ4tnS7vMK5ax6kwEa85HYmWoxS/jW+PtUAv/h+eY8PAfiIn9HTfXb7C1nVDX5qioAQpKZIxacQmAvW90QUdD1UKjrlE5eeVQn528CAd7FvQvpjirIz6649jurs2r/2xn4hQNsrNv0rHD3w+NC7maxMk/AzF30EfXSJMX3vB67PxvbbtFTHo+B97sVim7/l7uV1Y/Nn5Be0xt9cqck2u/bcUmwR7d0Q4Yt3d8hqt+mKyiLIbsH0J2cTZdbLqwos+KanfunpVtX10lIzH/sb+zdTWm54vNH0lZVRQXk7lpE2mrVgNgNus1jKdMqXz6ZXAwCe+8S0l0NCbTpmHx/nsIahW/wYolJaStXUvKbys503MpALN+bIe0nrz2nzfW+q9lqa/y/6Ctps2RUUcw1a6hWq5aQlEkI+9iIjmnYkEuYjLRDR2vR4Wb6oLMoky2Bm9lld8qANpZtmOyx+Rq7beXl1nM8XUBJIZnodM8g4T8YORyOb169aJHjx61Fzn/txXDnV2Q7A9WXtB8IHR6nYN5Et4IjGaitSk/utbP2prAc6c4sXY5EomU3i+/hkePZ/8fBSfl8MGuOwQkZjOurT3vDWiOhb5WNVusAkAUFdzxf520tJMqR68Rczcxmxd+vcCwVjb8+mLdtqJSoXLyyqU+OnnblnxGx+1bibC344t+IsW5rfDSeZHDbtp8cn4PPYffQxAktPL6/aFxafF57Fh4DYAuo5xp09/hkblFUaT9NycZ286ejwZWTs5dFEWyUwoxsny0vqEwN5egzw9hqGNO0y/6IFShF15EVgQjDowAYGXflXS16VovUwrPbg0h4FwCBubatB3oSNPW5mjpPlzzI4oiOYcPk7r4F0qTkjCeMAGzN2ejVoVVfUVJCclfLyRr166yfY6bN6HTrl2l5tk48Q9yDZzodPULdMVcNF1c0PH2xmzOHKR6dZtq97xxKeESr518DWNNYw6POoyeRsOXgS+JzyVl2W0ATF9ugbZr/UlJLZYXczjyMMtuLyOlIAUnAycmuE1goNPAanGyRVEk9GoSZ7aGoGEgotk8ldDIQJycnJg4cSIaz9AuoArGQOQZ+OcrSPQt271q5Em+yFDns2Y2vOFQP2XRi/LyOP77r4RdvYSjVxteeOsDtPWf7XNarhBZfymaZafCKJWLvN+/OS91dio3g0XFsyOKCgIC3iI17STt2u7EwODxC84qGjZrz0ey8O8gloxvzYg2tk8foKLGUDl55VA/nbxP6bh9GxF2dnw7UI2CnOY4aE/ivJsuS278RZMelzAy6oCr6xcPjZPLFKx68wwAoz5oi3WzR+vjgpNyGLjkPFtmdKSr85N7rlUW/31HMbyijVpHA2xGVX5lRxRFvrz8JXvC9gCwd9heXIxdqtXG2qTQP4CkhV9T5HcHvd69sXj/fTSbVp/qaP7ly8S+/MpD+5oc2I+Wa8Wk43PTCti4QKng2evMbP77qGM5fz4mUyZXl6kqKsA6/3Us8V0CQHPj5vzU4yeaGjWtW6OqiChTkLrWn5LYXAz6OKDfy77We+o9CVEUuZp0lZ0hOzkRcwKpIMVUy5QfevxAO6vKLZo8jrT4XE7+GUR6Yh7N+mhwLfAU5ubmTJ48GX39OmhQnpcKKztDfioi8FbrH9hl2Im37Yz5yNmhXomx/Isoitw9+w//rF2BmpYWvabOxKN7r6cPLIfM/BIWnQhh85VYOjYx4btRnjRV9dardhSKYq7fGIVcXkjHDn+rWis0QhQKkRErLhKYmMPeN7qo6vPqkIr6MvWrCvt5RVR+0AqAjqYmUkHG9Zgs1ItKMNLTo6g4ES2tR+uopP+JnpnbP/5D62J4OhpqEto6Vn9dQoth/YiXh1J6PRt5bkmlxmYXZzPq4KgyB+/c+HMN1sFTlJSQsvgXoidMQCwpxWHDBuxXLK9WBw9At3Nn3IODaHbieNm+qOEjiBw5isLbt586Xt9MB30TZcpS6GtbUNt0Bq3x01AIEmJ/+o288xeq1V4VT2a653Q2DdoEQGhmKMMPDOfPgD/r2KqqIahJMHulJXpdbMg5GUPaHwGVvjfUJIIg0Mm6E4t9FnNm3Bkmu08mpTCFl4+9zKTDk/jV91cUouKZ5zez02fsx+1w62RFxMkSWln3IT8vn+XLl5OcnFyNV1JB9Mzhg3D4LBNh8l5+LTjDS4kHWRqfSa9T58hPLb99TF0hCAItffry0k+/YeHoxJFliziybBGZSYnPNJ+xrgYLR3iyZUZH4jMLGbDkHF8euktuUWk1W/58I5Fo0sJjMYWFMQQGfsBzFj94LpBIBDbP6IiNkTYv/3mdzPz6c29X8XhUTl49QRBEQERXW5NCifLDRyMsC20jLWSyXLS0Hh8aN7ZSplKqlSN2cCk8jXaOxjXSKFYilVLQtASFKCP7aHSFx2UWZdJtezfCs8KZ6jGV21NuV7v6XW1ReOcOUaNGkf7nn5jPmUOTnTsqLZBSWTTs7ZXO3tEj6LRrhywpiegJLxLk5k7aqlVPHDt5oVLlMSEki+Pr7nI4uT1nev7GxS7fEfjul6QsWowol9eo/Soe0NqiNf5T/Tkx5gQaEg0W31yMb7Lv0wfWYyQaUoyGNMVsektKk/JJ/tWXovCsujbrEUy1TXm//ftcm3SN+R3ncyf1Dmv81zB8/3A23N1AQWnBM80rVZfQZ6oHnUc2I/FWCRZF7TA0MGLdunXEx8dX81VUEIkEnPsgTNzOj4NfYoXsGvGiBj1vhBG1bSaEHgfFszu3NYGxtS1jFnxDv1ffJPzGFf54+1Wi/Z79vdHV2Ywj73TnDR9n1l+Kpuv3pzgZWAeOdyNGT88VD49FpKQeIfHezro2R0UNYKClzh/T2lFQIue1zTdVznw9R5WuWQ/Y9stndNq5hUgbO/6caM3tBHXyEiegaQGb3GLJ1fqZdm13YWj4aMuDkiIZCpmIlt6j/aBK5Qpaf3mcN3o5M7uXc43Yfu3AblKOBtLasBcWs1ujYf/klKRCWSGdtnZCISpY3Xc1XWy7PPH4+oqiuJi0ZctIX/cHWh4eWH/7DVrNm9eJLaIokvLjT2T8qYwCaTZvjtHYsRhPmoggeXQdJzkqh9jAdDS01bh6IJImrcwIvZaMYVY4bW//AoBEX5/m167Wy9rIxkp8bjyD9g4CGk/zdHluCRnbgymOzEa/twMGfRzqVfrm/3M+/jyr7qziTuodANpatuXbbt9io2fzTPOlJ+RxYOltSoqLKXYKJDM7nb59+9K1a93XHftmZDD9TgSZcpFz16bgoKMF7Wco++7p1J96SoDc9DQO/PwNyZFhGFpaMW3RStTUn70H4r3sQj7dH8DJoBR6u1nw1fAW2BmreutVF4GBH5Cc8hdtvXeo6vMaKXtuxvPeLj8+GOBaY8+XKspHla7Z0BAAUURT0EAmyACQZ8tR0ykGQFPr8Q8ZGlpqj3XwAO7EZ5FfIq/2Wrz/YmxlQ2jGdQQTdbIORTxxVaegtIAOWzqgEBX81vu3BuvgFd6+TdTIUWSs34D522/jtH1bnTl4oExvsvzoQ9zu+GH21hyKQ0NJ/uYbgj1akLVn7yPHWzYxoP0LTWjV255Xl/ak3ystAMg2ckZjlLIuT5GbS7C7B0Fu7sS8/DKy1FQUBc8W2VBRMez07dg9dDcAH53/iDmn5lQpdbA+INXXwGy6JwZ9HMg9FUvaWv96lb75/3S3686WwVs4MPwAADeTbzJgzwA8N3hyKvZUpecztdVj0pedsHIyQRrigbV+M06ePMmGDRsoLa3bdEFvExP2d/SiSKLByG7bSbH3gZNfwmIPOPAmJPnXqX3/Rd/UjEnfLKJ5p25kJyexdcF75GakPfN81obarHmpHcsmtsE/IZtBS8+z5WqMKipRTbi6fommhhV+d2ZSXJxa1+aoqAFGt7Xj1R5N+elYCL+fe3KfYBV1h8rJq0cIgLqgjnDfyZMVSxA08hAENTQ1Ki9JfjE8HX0tNTxroGH5v9h5tERE5NTdjZTE5lJ4+/E39AsJF+i4tSMAi3ouwsfe5+EDCrPgV2/4whB+cgZ5/auXUBQVkfzTT0RPnIREV5cme/dg9tqrlWppUJMIGhqYv/EG7sFBaLoo6xvvzZ9PkJs7srQnPxD1n6509I5mdMbsxDXM3nijTL2z4PIVwrr3IMS7LVFjx1Hge+tJU6moAq4mrpwYcwI1QY0zcWfosKUD+aWPb9/RUBAkAgZ9HTGb4UlpagHJv/pSGJRe12Y9kaZGTfGf6s/FFy/ytvfbALx9+m2G7x/OyZiTlXIGNLXVGP52a3pOcIUYe6yElsTFxbFmzRoSE5+tzqy6cNTW5HR7V7JFKSNsZpE+xx96vAfh/8CqbrBhGATsAVndO+aCRMLQdz9m3GffUpCVyYb3ZxPpe/3Z5xMEhnjZcPLdngxsYcX8fQFM/fM6SdlF1Wj184lUqoO39xZEUSQw6IO6NkdFDfHRQDdGtLbh28PBnA5OqWtzVDwGVbpmPWDbL5/RafcWoixt2T+lBSfuJVEYOwMrvXRW9g8iv/Q83bpWXhRj3OrLGGmr8/tLVVeNexIbP5xDakwU04b+SHFsLlbvtUOi+aAG0DfZl6lHpwKwut9qutj8XwQv7CRsGf3oxO+Fgv6zNcWtbgpu3eLevPmUxsdj9tYcTF9+ud44d+UhlpQQ7N0WZMpFA+NJk7D6dEG5x989n8CZLSEA9JvuQfP2ykbdOceOUxTgT+4/pyiJjHxojJqFBbaLF6Hdtm2dp581Nt49/S4nY08CMN51PJ90+KTe9I58VuR5JWRsC6Y4IhvN5sYYj3JBzahyvSPrArlCzomYE/x5908C0wNxNnJmvOt4Rjcfjbqk4mmDiWFZnPwzkAJFFrkmgeQX5DF8+HDatKnbvlPB+YWMuhWOoZqUE+1c0RNEuLsPrv0O8dfA0B46zFSmcurWXGZIRSnMy+XIskVE3bqBV9+B9Jr2WpXSNwHOhaby3i4/SmQK5g92Z2w7O9U9rYqkpB7D3/8NWnj8gpXVsLo2R0UNUFQqZ8yqS0Sm5nNzQT+0y9GHUFG9qNI1GxgCgAjqqMP9SJ66ohRBWoSGeuXrIwpKZNyKzazRVM1/ad6pGzqGRhgOboqioJTcM3GAslbsYsLFMgfv/PjzDxy8opwHkbt/HTz3YfDy0QcTL2oOxbk1bv+TUBQVkfzDj8RMnIREX58m+/ZiNnNmvXfwQBnZcw/wp9nJEwBkbtlCkJs7EQMHId53/P5Li+62eA9Q9lo8sS6wLFphMKA/Fu+9R7PDf+Ny6SKa7u5IdJV99WQpKcRMnkKwuweZO3ZSHBlJga8vsoyMWrrKxssvvX7h936/IxWk7AjZQe9dvckqyqprs6qEVE8DsxmeGI1oRmlCHqkr/ZBl1P/IiVQiZWCTgWx/YTsr+65EU6rJN1e/odfOXvx4/Ueyi7MrNI+NixEj5rbBwtQSreiWABw4cICwsLCaNP+puOlqs6NVM6IKS5jqH4VcIgWvsTDjBLx+GRy7wonP4KdmsGUcZMbUqb3aevqM/PAzek17jYDTJ9n51SfkpFUtktCjuTnH3+lBL1dzPtxzh9lbfUnLK64mi59PzM36Y2bWl9Cwryktzalrc1TUAFrqUn6d0IaCEjkf7blT1+ao+D9UTl49QhBFNNAoS9cURBFRKEBNvfLpltejMymVi3R1rnqj36chkUpRyGSomWih38OO3PPxyDKKePnYy8w6OQuAs+PPYqRlBPlpsK4/fG8PGf/J437bD8ZvAsfO8HkW2Nxf2f7OrsbtfxylSUmE9+lLSOs2ZG7ZgsX77+G0dQuazg2vwFjDzg63O35ljllJdDTBLT3JOXLkkWM7j3Sm6xjlNSaGZT3yezUTE5ru24vrzRu4BwfhfOofNJo0AUEg6fPPiRz8AjETJxHWpSvBbbwJcnNHrOPao4ZMZ5vO3H7pNuOajyOjKIPuO7pzMOJgXZtVJQRBQK+TDZZvtQEB0tYHUJrUMFJSBUGgm203tg/Zzo4hO+hg1YGdITvpt7sf7515j/jcp6tnGphpM2JuG9r0aoZpcmeMdSzZsmULISEhtXAF5eOpr8PvLZy4lJXHKwFRD1JSLT1g1GplZoWmAYSfgKVesHEEBB4ERd2o8QoSCd6DhjL204VkJd1j/XuzuRdWtb+hsa4GSya0YflEb65EZtB38VmO+N+rJoufPwRBwLX558hkOURE/FjX5qioIZqa6zGjWxMO+iUSkFCxBS8VtYPKyasvCMoPVE1RoyySp5eXjYIC1NWNKj3dxfA0LA00aVYLTV81tLQpKSpEFEX0feyR6qgTtvsqN5NvAnBq7ClMtEwgOVC5Ehx3VTmw/0L4NB2+yAZjpwcTCgK8eubB9u1tNX4N/yXv/HmiRo6iNCEBqbExTfbtxXT69AYRvSsPQUMD15s3cAsKxOzNNwFIeHcuQW7uJHz4IfKsrLJjPbopRX72L75FceGjEb//om5jQ7Mjh3EPCsRuxXKMxo/Hct489Hr1QtDQACDY04u039dQElO3q/8NmU87f8oSnyUAzL8wn/kX5tetQdWA1FATs5dbgCCQvMSX7GPRiIqGUz3gYerBYp/FHB51mH6O/Tgbf5ZBewcx/8J80gqfXAMrkUroNtaFHmM8kEY6o1aiz7Zt2/D3r1uxk2EWRixzd+BYWg5fhP9fvaC+JXwSBx9FQ5/PISMSdk6BhZZw9kfIq5uaHDv3lkxbtAJDC0t2fPkxETevVnnOF7ysOfFuDzo2MeH1Lb7M2XaLlNz6H3Guj2hp2WBrO4mExB2kpZ2ua3NU1BDv9muOroaUzw4EqASM6hEqJ69ecD/vXwQ1Ua0skqcuVyCX56CuVvlI3sXwNLo2M6uVmgIdQ0MUcjlF+XnIpHK+01uNfqSEl3THcuelO5jrmMO6AbBS2aONdq/AJwnQZQ5In+A4Tb6vDLl/Vq0U/osyGSm/LCFu5qtotWyJy+VLNL98Cc1mzWr83LWFIAiYvzkbt6BADMeMRsPJiZyDhwjt1JmYqdMApWKrZy9lBHXtu+coeYqj9y/6vXtj/eUXmLw0BfuVK3C9egXdrl0BSF28mIgBA8nctatGrut5oI9jH3yn+OJs5MzBiIN4bvCsUOSoPqNuqYvF7NbodbMl93Qcqav8KE1uGFG9f7HQseCbbt9wZtwZJrhO4GDEQXrt7MX8C/MJSg964thWfezpPbkFRhmt0MGUvXv31nnq5mgrEyZZm7A6PpUNCWmPPrBpGUL3ucrsiyn7wGscnF+kVOXcOAKurq51m3UMDJm48GccWnhx4KdvuHZgd5UfNE31NFk1uS2/jG/Flch0+iw6y17feNUD7DPg4jwPE5Ou3A18F5msbkswVNQMuppq/DS2Fb6xWRy7m1TX5qi4j8rJqy8IICCiKarDv83QJRJKS7NRq2QkLyO/hMB7OXSphXo8UDatBQgOuUHbzW05bXCdu9oRTIobBIF/Kevu4q4oD37tHAz5BTQrEGF07gMO92v4FlZeXbQyyDIziZ0+g/S1azGfOxf71atQM26YDdorgiAI2CxcSLOjR3DctBGAgqtXCenQEVEU6TG+OWb2yv/RmnfPkRqX+0wPNw7r1uIWeBfHLZsBSPr0M1Wz9SqgLlFn59CdTHZXtroYtHcQd9Pu1rFVVeOh5umphaSs8EOe0/BqofQ09JjfaT5HRx+lm203riVdY9xf4/Dc4ElIRvlphB7dbBj3SQd0ktxRKzJk167dREdH157hj+H75vb0MtHno9B4+t8IRf64974gQLPeMGIFzA0Cn48h8jQc+RCWdYDbW2tVlVNdU4uRH31Oq/6DOb91PcdWLa2yQyYIAiPb2HH07e70bG7O3J1+vLz+Osk5qqheZZBI1GjusgCZLJew8O/r2hwVNcSgllZ0amrCezv9KCpVfc7XB1ROXr1AKBNe0VCooat2P3VTKkEmy0K9kjV5lyPSEUVqpR4PwMjGFrlE5Nu/5gEw02sm3aYNQ5FcRP62LcqD1LSUtXbWrSo3+Sv/qRvLrpmoRVFwMNGjx1AcFobDn39g9urMxzYRb6zotG+PW+BdNJo2RZGTQ94pZT+w8fM7oHtf+XDnN9fZ8tmVZ3poEiQSdNq2xfqbbwAIbtFS5ehVAXWJOh91+Ig3Wr0BwIS/JxCaGVrHVlUdLRdjLN/xRtCUkro2gOLohlnbYatny8q+Kzk66ig97XoCMObQGKYdnUZwRvBjx1g4GjBkdmsMs1pAoSbr16/nzp26EzFQlwhsa9WMz5rZ4J9XyDT/KEoUT+jZqGMCPd5Xpt8PXw4KGex/XZme/89XkF87LTMEiYTeL79GzynTuXvmJJd2bq6WeU31NFk20Zu1L7Uj6F4OA5acY89NVVSvMujqOuPiPI/ExO0kpxyua3NU1ACCILDgBQ/yS+T8dKxua4xVKHl+nmTrMyJlGZvqCnXyJaWI6hI01aTIZLmoqxlVarqLEWk0NdfF2lC72k39F1EUORt3Fs8NnnhvbUuBphzjXA06Gnoz02EMOvd2oiU5SUrxyyT6bIIFyZSWlrBo/BC2Lnivciebdv8D4dqaar+OnKNHiX5xIlIjI5rs3oVuhw7Vfo6GgCCR0Ozw32i1bEnKz4vKHl6mfd+Vke8pRXCyUwvZ+9PNZz6H0ehRqFlbAxDRfwBiSd333mrIvN76dX7q8RMAow+O5oW9LzT4nnpqhpqYT28Jokjqqjvknmu46ahSiZRlfZbhO9mXjzt8THhWOGMPjeWLS1+QlP9oOpOTpxkzfvLBQdoJiUKTQwcP1XkfvTccLFjm7sDpjBy+jqiALVI1aDMZ3vJVZm009VGmcv7UVJnREfw31LBjJAgC7YaMpPvEaVzZu4O9339BaVH1RN76elhy5O0edHcx571dfrz0xzUSswqrZe7nAXv7VzAy6khw8AKKilSCNo2RlraGdHcxY9eNOEpkT1gYUlErqJy8eoQgimjI1RBEGQigoa70/Cobybt0vx6vphBFEa+NXrx56s2yffqFarjG6eO+LZ0Vs19l/fKdHE24hSBICd4RwaLxQ/h1irJVwr2wEE6uXU5eRgVXd52UdV1cXAJ5j2+2/oiNCgWiQkHOiRPI8/IRS0spuHkTWWYmolzOvS++IOKFISS88y76vXvjuGUz6jY2lfkzNEpMZ0ynJCqKYHcP8i9fBsDGxZiZS3oAkBSZ81QxlifhcvoUul27UpqQQLBXK/LOnq0Wu59XBjYZyLHRx7DStSI2N5Z+u/o1eFEWdUtdLN9ti5a7CdmHo8i/3rDrO9Sl6kxyn8SZcWf4qP1H7AnbQ7/d/Xj/7Puciz/3UDRIS0+dsR+2x1WnF4oiddb/uZHc3LqtYRpjZcLnzWxZE5/GibRKRFetWykVk98LVdZhA2yfCMs7wJ1d8KTIYDXQYfgYBr/1ATF3brF53rvkpj9ZDKeimOhq8NuLbVg12ZvwlDz6/3KO/bcSVFG9CiAIAi08FiEIatzxfw1RVDkBjZH5L7iTWyxj/aWoujbluUfl5NUz1BVqCJQilMg5UtQUALVKRPLiMwuITi+osf54aYVpHI1+0Muum203hjcbTr9X33zouIwSHZKLFNzNuoSzgTcG6g/b43fiCGvfmlHxE6tpKb///PgWBmlr1hDk5l72FezRgmCPFiTMeYvQdu0I9vQiZtJkwjp3IbhFS7K276AkIgKL99/D5uefkGjXXNSzIWEwcGDZz7Evv0KQmzs5x4+joaXG6A/bAnBkZdXSyBzWrUW3e3cA4l6bRez0SrwOVDyCjZ4NJ8acYPPgzeSW5nIw4iALryysa7OqhCARMH3JA+2WpmQdjKDAv2KLO/UZNYkakz0mc378eT5q/xGnYk8x+5/ZeG304nj08bLjNHXUGfthRzo0709pkZwVv60mKqpuH5ZetjWjp7E+U/yjOJNRyX5n+pbKOuzPMpVCLYIE9s6Apa3g5noorblImHvXnoxd8A256Wns+OIjCnOrr1fbwJbWHHu3B73cLHhnx23e3HqLjHxVdsLT0NKypmnTd8jNvUts3Lq6NkdFDeBmZcDwVjYsOxVOam7Dq69uTAjic7b8VNEu8bXJtsVf0OXARqL1rUkcPZlvJSvIDf4aRHXW9X+Ljh0Oo6fnWqG5dl6P4+O9d7j1aX8MddSfyZ5/I3UA/lP9CUwP5GzcWZILktkTtgeAnnY9WdZn2YNBsmLExS0ITBS4KXYlNUm5ajpr5Say14Qi15RDPz3UNDQfStd8b8dfFTfsi/9ENL94sKKcfeAAiR99XKlr1OvVC9MZ09Fp27ZS454XFIWFhLTxfmife3AQa987R3G+jP4zWuDSzrJK5ygODydyyFAANJs3p8me3Qjqz/aaVaFEFEUG7x1MfF48s1rNYpbXLKQSaV2b9cwoSuRk7g6l8E4aOm0tMRrWDIlmw72e/6IQFay4vYLVd5RqlG4mbsxqNYve9r3LVJFP7brNxdvHETWKGTtuDO7u7nVmb75MjvN5ZYuHzV5N6WNahc/P2Ktw6VcI/gukmtDxNej6NujWzOJkRmI8O774GDUNTSZ89QP6JtV7noN+iSzY54+uphqLx7Wmc7PaqYdvyASHfE5Cwma6drmAlpZ1XZujoppJySnC5+cztLIzYturneranEZHRX0ZlZNXD9i2+Au6HthAlL41qSNe5kv1X8kN+QIUWqzr/xbdul5CU7NiD9Rvb79FVFo+B9/s9sz27AndwxeXv3jiMQdHHKSJYRPlRtAh2KFU+2PWBbDyRCGXI5EqH8YKA9NJ3xiI6RQPtFsoP/yWThmNrKQYdS1t+k5/HY8evZ9uWFIArFKmbortXycj2ZWUH5UNVg2HD0N/4EA0nJwQJBI0HB0fO4UoirXSVqKxUBKfQETfvmXb+pOnciBeWbf4+opeSCRV+1uKpaUEe3qVbZu/8zZms2ZVac7nnYLSAiYdnkR4VjgAVydeRUddp46tenZEUST3TBw5x5R9FnXbW2E0vBmCWuNIRBFFkTNxZ1h/dz2+Kb4ATGsxjXe830EqkXLpQBhnLh9Bpp3FC0NeoG0dLkwlF5cy4EYoeXI55zu6Ya2pUbUJU4Lhny8h5H7dtdd46DXv4b6p1URiaBAHfv4GQSJh4tc/Y2BuUb3zZxUyd+dtrkRm8FYfF97u44K0ivfHxkxpaQ7nL3TA3Kwvnp7Lnj5ARYNj85UYFuwP4Mjb3XG3rh/P242FivoyjeNTsjEgKPuhq8mUjpEglOKqnwWAWgX75ImiyMXwdLpUoR6vRF7yRAdvVd9V3Jx884GDlx7xwMFrMxmsPAHKHDwALXcTNJsbk/V3JOL9Qtwu4yYBUFpUyJHli59ok6hQkH3oEIWpELTbgaDtNgS/d6DMwdNp3x7r779Hv1cvNJs0KdfBA1QOXiXRsLPFLSgQy3mfAJC7eQOuIUrF1GNrAqo8v6CujtvdAEymTQMgdclSoidPrvK8zzM66jrsHbaX3vbKhZOOWzvWsUVVQxAEDHo5YDFHKQCUfz2JxK+vNPhavX8RBIFeDr1YP3A9b3u/jbaaNuvvrqf1ptYs9V2K1yBrerYfhFCizaFDfxESUneqdZaa6mxp1ZQihYLhvuEUyqtYU2XhBi9ug/dCoNNsCPpLmca5/w2451c9Rt/Hprk7E776EQ0tbda/P5vcjOqp0Sub30ibrTM68VZvZ347FcZrm26QXVBaredoTKirG9CixWJSUo8QF7ehrs1RUQO84KmM0O6+2XAFtBo6KievPiGChlzZHFxdpxgLnUIkEi2kUq0KDQ9NziMtr5huz1iPl16YTtvNylXiNf0fKFnennIb/6n++E/1p6ttVzSk91dv81Lht/spfTNOKaWzH4MgCBgNaYo8q4jcCwkAmNjYPXRMpO/1h7Zzjh9/qL4u8YMPiR47FmQPRD/UdKHp4cM4btqoct5qEEEQMHnpJdwC7yIxMMD23iUAIm+lIs/Lq/r8UimWH3+EW4AyFazwxk0S5s6t8rzPM4IgsLT3UgY1GQSA5wZPCkoL6tiqqqFhq4fd992xmN0aDQd9MveEkbErFEXRswsB1ScEQWCG5wyuTbrGkl5LaG3emrX+a+m8rTMX7PbSpdUA1IuN2LZtGwEBVV9geVZa6GmzwsOJ2KIS5gTFIFNUQzKQvhUM/BbeD4E+n8PtLbC6B+ybBRnVV49obGXDqE++RE1dnX0/fIVcVr2vHYlEYG5/V9ZNbcfNmEwG/3qemzEZ1XqOxoSlxWDMzfsTEbmIggKVSEdjw1hXg9Hedmy5GkOmql61TlA5efWF+43y1OT3I3miDCQK1CvRCP1ieBoaahLaOVW+iff24O347PQp2+5k3Qn/qf7ceelO+TU9p++LO4zdAHZPTiFSt9BBr7MNuafikOeU0KxtB97Zso9+M5WCLft++JLU2GgKYmIIcnMn4a23HzuP3aqVuAcG4D4hEZehiWimnqj0tap4NgSJBNdrV2l2/BhuKccAuNZnAunr/kCshoclQU0Nt6BAtL29yTl8hNCOnUhdthyxhlX4GjM/9viR8a7jAWVE72DEwYbv7NnrY/ZKS4xHuVB4N52kn2+QczoOUd54Kg/6OPRh0+BN/Nb7N7radmVX2C7eKZhEpHYS0lJd9uzeQ2BgYJ3ZN8zCiFUejvydmk2v68HkyKqp76WmPnSfC/MSYeD3EHIElrWH/bMhuXqu18jSipEff056XAznt/5ZLXP+P73dLDn4ZjfM9DV58ferrDobgaI6nOFGiIf7j2homON35zVKSxtmb0wV5fPRQFdK5SK/nQqva1OeS1ROXj1CANRlykieIJQgCgrUK5iqCUonr62DMVrqlRMmyC7O5pur35Rt+072fWBTeRGyjEi4tUW56tpiRIXOY9DHAUFdIPuocsVOqqaOV98Hao4bP3iTlR/OLtt22rEdt6BA3IODyr70fXxAIoXJSgEYjnxQsYtUUW1oODjQY9u3APi2mUvKTz8R3NKT9PXrq+yQCYKA45bNaDg6Is/OJm3ZMoI9WpCydGl1mP5csqDTAr7u+jUA8y/Mp+PWjqzzb9iqdoIgoNvBCvPpLZEaapJzLJqU33wpCstEbEQP0z72Pqzqu4ojo47Q3a471xz+Il49BxGRnTt3sn37dhR1tAgywtKYH13tCCso5tWA6OqdXEMXOr0OcwOhz6dwdx+s7AyH3oHcqqfpWju74vPSDG7+fYCjK35BVgM9O+1NdNgzqzOvdGvC90eCaTrvMAEJKifm/1FT06eV12oKC2OJiFxU1+aoqGYsDLQY2NKKv+4kqhY66gCVk1cPEJEgCNxP17wfyUMGyFGrYCRPJldwNSqDbi6VS9UslZfSbbtSpGVOmzn4T/VHXVoBhcNT3yiV0DpWXCRDoqOOQX8nCnxTKIl70Ptp2k8PF13brViBe3AQ2q1ale9kOj8QAyEzpsI2qKge1DWlmDvoAxA1QhnRTfn+B4I9WpD83XdV6hklCALNjh3F7W4ABoOV6YbpK1cR3rsPOUePIkuvYH9FFWWMcB7B/uH7ea+tUtl2ie8SRh4YSVZRVt0aVkU07PWxnNMGi9mtQU1C2roAEuZdIP9mcqPqW2auY86Kviu4Pvk6vSd4kqmmjna+DcHBwWz+e3Od2TXFxoxVHo6cycxlc2INvC81dJWqmx9GQL+vlc7er23g5JdQmFWlqdsMHMrAN94l5PIFDi/7uUZeL2pSCR8PcmNyJwcAhvx2gU1XYhrVa7M60NV1xsnpDRITd1FamlnX5qioZqZ3a0JKbjHHA5Pr2pTnDpWTV58QQe1+JE8ilCAir3AjdL/4bPKKZXSppHSz92ZlTZ29vj2ver1asUGJtyFgN/h8AhqVU+3TbW+FupUuWQcjUMjkBLm5k9J/ED2CYzGTK2v19Hv3qthks68pv5/9oVI2qKgexn7cDoCoLGOsztzAZLqy4XHGho0Eu3tQeKdq/fQEqRTbxYtx9buNhnMzShMTSXjnXcK6diPIzZ3Y6TPI2LiJnMOHq3wtzwPNjJoxreU0/F7yo51lO8Kzwum+ozuHIg7VtWlVRsNeH4vZrTGZoGw1k7krlLQ/7zaqqB6AlpoW493GsWjeR1jaO6FVYE3kzUhe2/QafqnVK1RSUYZbGGGtqc6nYfHkVlfa5v+jrg1d34K3/ZQRvqurYJErHJgNBc9e89aiZx8Gv/U+YVcvcW5LzaRuAiwc4UnQVwOZ3MmBT/cHMHurr6qn3v9hZzsRQZASGfVrXZuiopppY2+Em5U+f1xQ1V3WNionr74giAiIqJdF8kpRIEe9go3QL4anoa+phqdtxZxCzw2eeG7wLNte0WdFxW09+QWYuULrSRUfcx9BImA4tCklcblEDHrQBNuyQyeajhqLXF6J2i6z5srvt7dU2g4VVUeQCIx6X7lIsPWLq1h+8AFuQYEYT5wIQPS48QS5uVe5Xk+iqUmzv/6i+Y3rWH31Zdn+/IsXSf72WxLmvkeQmzvhffuR9vsaCu/eVdXxPQGJIOHPgX/yx4A/AJh3YR6vHq/gAk89RhAEdFpbYPd9d4xHu1Aclkn24ahG5+iBsrH6tLf606WdDwDWEdZMPzSd10++zrV712o1UiQIAqs8HClUiMys7rTN/0fbCPp8Bm/dgpaj4fY2pbN3cA4UPlsEyKV9Z3pNncmNQ3u5dbTmFjy0NaQsHOHJsoltuBSRzpBfz3MuNLXGztfQ0NAww8lxFvHxm8jNrbt6UxXVjyAIvNKtCdeiM1Qpy7WMysmrD4gPvmuU1eTJEEU5ahWM5F0MT6NTM1PUpE//l/4d+fdD2zuH7MTJ0Klitkadh8jT0HsBSNUqNuY/FPoHEPVCZ0oTbqDpMQqTGa/iHhyEw5rfKS0pIju5EvUW/03lVKW/1AnWzkao329OnZNWiCAIWH32KW7+D6J4wS09q8XZk+rpYTxuXFl9ppv/HVxv+WI4fDhqNtaUxseTungx0aPHEOzRgozNKuf/SbS3as/FFy8CcPneZb6/9n0dW1R96La3Qq+zDXkXEkj66Tq55xMajQrnf+k+pjkdHIcAMC5tEvHZ8Uw/Ph2vjV4sv70chVg7ix0djfSYYmPKmcxcTqfn1PwJ9a1gxAqYGwTeUyFgL/zqDdfXQmUWCu/jPXg4bV8Yzqn1v+N75FCNOslDvGz4a043mpjr8tIf1/j2cBClVW1F0UhwdJyJjk5TQkI+U6W0NjJGtbFFR0PKjutxdW3Kc0WdO3nLly/HyckJLS0tOnbsyLVr1554/JIlS3B1dUVbWxt7e3veffddioqKasnamkVARK1U+S8RxFIUoqxCkbyCEhm3YrPo+pRUTZlChucGTz4+/zEAHa06cnT0UdxN3StmoCjC6W/AuhW4D63YmH9tvHmTIDd3ZRsEoPjuHiR6xmh5jiw7RnE/1efqvp3E3LnNovFDuHZg95Mn7qxU58RX1Wenrpj4hbIP267vbpTtE9TVcQ8OwvbXB4IpwS09iRw+guKIiGo5r6CujkRbG5sfvsfl1Clcb/li+ekCtFu3BiB54UJlG44WLYl+cSI5R48iz8qqlnM3Fgw0DLg+6TomWiZsCdrCZxcbz8OV0bBmWLzZGg0bPbL/jiTxi8vkX0tCUdx4nD1BIjBoWlta2nehoCCbMckv8VOPnwBY5beKdpvbMf/C/Fpx9j5tZoOOVMKcoFiSi2upP5y+JbzwM8zxBdfB8Pd78LsPxFyq9FQ9J0+ndf8XOL1+Ndf276p+W/+DnbEOm17pyLzBbvxxIYpJa66Skts4nmOqgkSiSfPmn5Gdc4u0tH/q2hwV1YiaVMIrXZuw71YCBSWN5x5c36lTJ2/Hjh3MnTuXzz//HF9fX1q1asWAAQNISUl57PFbt27l448/5vPPPycoKIh169axY8cO5s2bV8uWVz//Cq+oKe6Lngj3nbwKRPKuR2dSIlfQ9Sn98TYHPijQdzNxY+2Atdjq2VbMwKJs+NIIYi9D708fjqKVgyiKpK9dS5CbOzGTHjS4dty0ETffC+j3tCP3fDyy9ELlfs/WAFzYvpHd3ywA4PzW9ZQUPkHyvdd85ffAAxW7DhXVjp6xFhaO+hTll5IW/3DfPIP+/ZWR2j+VqYHFISFEvjCExHnzURQXV6sdEm1tTCZNwmn7Nlz9bqPTuZPyF3I5hbdukfDOu4R26kyQmztRY8cRMWQIiZ/MQ5TXUB1RA0FLTYuTY07S0aoj+8L3sdS38SiZatjpYzrFA8v3lC1eMveGkfjFZVLX+VOanF/H1lUPgiAwZnp/nK28iEq5S8LOIvyn+rOs9zJKFaUcjDhIv939+CPgDwplhTVmh4GalFPtXVEg0urS3dpdLNC3hBHLYeYpkKrDn4Pgz8Hgt6PCWR6CREKfV2bRafSLXNi+kQvbN9boNUgkAq/2aMbWmZ0IT81j2G8XOR+mSt80Me6KsVEnIqN+aTQLTiqUjG9vT36JjL/87tW1Kc8NderkLV68mJkzZ/Lyyy/j4eHBqlWr0NHR4Y8//njs8ZcuXaJr165MnDgRJycn+vfvz4svvvjU6F9DQiEoU98kQikiVEhd81J4Ghb6mjhb6D3xuMAMZZ77op6L2DFkR+UMO/HZg5//q2xZDoqSEoLdPUj5+YEksv2a33EPDkKnfXsA9H3skeqqk3VYWYzr3L4TpnZKFTJBePDSvH5oX/kn+lf4JeJURa9ERQ0waJYXADsWXqMo/9FVfN3OnXEPDsJx61Y0XZzJ3ruXkFatyTt7tkbskWhq4vjnnw9SO4MCcdy0EQBNFxekBgaUhEeQvW8fwS1aEuTmToGv71NmbbyoS9VZO2AtbSzasC5gHefiz9W1SdWKurkOdt93x2x6S3S8LSkOyyL5F1/iF1ygwD+tUTxMTnx1BBpFJsQV+HH6wHV62vfEf6o/fw74ExcjF365+Qtdt3Vl9j+zORFzokau2Ulbk5dslIuNP0ZVvdVBpbFtCzP+gVFrlK0W9r2q7LN3awtUsE63y9iJdBw5nqv7drLvhy+fPqCKdGhiwtF3uuNsoce0P6/z+7mIRvF6fFYEQaBJk7fIywsmKqrxLDipULYV6dncnC3XYuvalOeGOnPySkpKuHnzJn37PnAYJBIJffv25fLly48d06VLF27evFnm1EVGRnL48GEGDx5cKzbXKAIIIhRLpYioIZGUgihUqE/exYg0ujqbld9uAFCICq7eu8rLLV+mv1N/JEIl/vWlRRB8X8Fw9vWnRvFkaWmEeLUq27b+ZiFuAf7ode/+0HESDSmGg5pQdDedovBMBIkEr74DkaqrM+m7X3hvx18AhF658GT7dO5HMNOrJw1QReXRM9bE0VOZLnx5f/n/Bx3vNjQ9dAj731cDEPfaLILc3Gs8jVIQBHTat8c9OIimhw7isG4t7sFB2K/5HY1mzQCImThJmd55X8RFlvr8raov7aV8qJr9z2x+vv4z2cWNq0hey8UYk7HNsf6kAwYDHEEmkrEliNTVdyhNatiRPYlEwvtfzcJA25RzN49yZLPyc7SdVTtW9VvFXyP/4iWPl4jNiWXumbl4bfRiZ8hOimTVmyb4URMrRloY8UtMMnuSnl358pmRSMBrHMy5CZP3grYxHHgDVnQC/91PdfYEQaDbhCkYW9sQdesG/qeO17jJFvpabHylA9O7NeHbw8G88OsF4jKekMHSyDE27oiNzXhiYn8nP1/1ud6YGN7aBr+4rOf69V2b1JmTl5aWhlwux9LS8qH9lpaWJCU9fgVw4sSJfPXVV3Tr1g11dXWaNWuGj4/PE9M1i4uLycnJeeir/iJSJAVRUEeQyhEB9adE8jLzS7ibmPPU1gkBaQFkFGXQ065n5c26vRkK0pR1D+bNn3ioorCQsG5KZ+7fh2qj0aMR1B4v0qLdyhwNRwOyDkUiykW8+gzklV9WY9mkWdkxT21U++pp5fffvFUCLHXIkNlKxz7wfCKr5pzh9OZg7pyOf+yxej164Bbgj7qDMnIb2qkzKYsW15qtZXZ0706zv//C5eIFTKa+VLa/ND6esO49CG7VmrRVq2vdrrrCWMuYlzyUf4cNgRvotr0bYw+NrTUBj9pCaqiJQS8HbL/rhsmLbsizi0le6kv61iAUhQ23XkRDQ4PX5ryMgZ4RV8NOcGD1g9o0RwNH3mn7DodGHuKtNm+hJdVi4ZWF9N/dn5W3V1Zbz0RBEFjh4cgYS2NmB8USXVi9admVMASc+8CME/DKMWVK557psLY3RD09Uv3y4lW07NWf47//ViuOnkQiMG+wO7++2IbAezl0//E0N2Oe355xLs7zUFc3ITzix7o2RUU10ttN+cy/5GRYHVvyfFDnwiuV4cyZM3z77besWLECX19f9u7dy99//83XX39d7pjvvvsOQ0PDsi97e/tatLiSiFAkFUBQQxBkgPBUJ+9yZDqiyFPr8c7Fn8NAw4BW5q2eeNwj5CYpi9mtvMC02RMPFUWR5B+VN2Tz9+aWpcc9CUEQMBraFFlKAfnX7qGmoYGBucVDx+SkJlNa8oQHBSOHBz8v9njqOVXUHBM+6wCAvFRB4IVEzu8IJezG4xugCmpqOB8/RpO9ewBIX7NGqcL5NKe+BlAzNcXyk0/K0judtm8DQCwuJnXJEpJ/+gl5bm6t21UXfND+A/yn+rPthW04GzkTnBHMB2c/qGuzagRBENBpZY7Ve+0wGtKUouAM0rcEIcoarlOrq6vLa29OR1NNC7+4cxxc7vtIG4mZXjO5Pvk6f4/8m4FNBrIuYB0D9w5k7pm5hGVW/eFLEAQWuijrvb+OSKzyfFXGoRNMPQTT/gZBChuGKr9iHp81BMoavf6vvklLn34cX/0rF7ZvqpU0ymGtbDj7gQ9tHIyY8PtlVp19PtM31dT0aNrkbdLSTpKTU7WeqyrqD4ba6pjoanDgdsJz+bquberMyTMzM0MqlZKc/PADYHJyMlZWVo8d8+mnnzJlyhRmzJiBp6cnI0eO5Ntvv+W7775DUU4KxieffEJ2dnbZV1xc/ZRvFQTli71YAqKggSApRSEKqD0lXfNieBpNzXSxMdJ+4nHn4s/R1aYrapJKtj3w3aT8PuCbJx4miiLhPXqStW07xpMmYTZzZoVPoWGnj05bS7KPxyD/v3ouy6YuAPw6ZfSTJ/k0Xfk9NxHibzz5WBU1hqmNHq8v92HSl50YMke5oHB87V3yMst30rU8PHC7G1C2HTFoMDmHD9dprzvt1q1xDw7C9Y4f6vb2ZKz7g9D2HcrSOZO+Kn9hqbHQ0qwl+4bvo5N1J47HHGfZrWV1bVKNIahJ0Otqi+lkD4qjssnYGYJY2nAFeXR0dJjy8kQUakUExl7lyGr/xz5Q2RvYM6/jPI6OPsqwZsM4G3eWUQdHMeefOdxMvlklG4zU1XjNzpy/U7O5mpX39AG1gVM3mHESxm1SNlH/cyBsHAFxj6/rFyQS+r82hy5jJ3F13w6OrVxaK/clR1Ndtr/aiZe7NuGHo8G8vP46RQ349fisWFmNQE/PjZCQz1UOQSPitxfbIFOI7PFNqGtTGj115uRpaGjQtm1b/vnngUyuQqHgn3/+oXPnzo8dU1BQgETysMlSqVKopLwbgKamJgYGBg991VcEEUokIApqCBIZIEEq1XnimIvhaXRxfnKq5vWk6wRlBNHdrvsTj3sEhRxubYRWLyo/HMtBnpdHsLtHWQ2TxYeVX/U3HOAECpGckzEP7Z/07YMUvtSYqPInkKrBZGVEiL0Nv7FzQ0YilWBkqYNjC1M8uloDsOGTiwScK/+GLkilZfVyGk2akDD3PYI9WpB/qfJS6NWJREMDp507MJk2DQB1OzsAMrduJXr8BEri4hp9hG9l35UArL6zmjn/zKlja2oWrebGmIx3pfBuOve+v07qmjvIMhumtL2dnR0DBw6kSDuZoJC7rHm3/BRFM20z5nWcx8UXL/JR+4+4mXyTaUenMeXwFH65+csz1+0taGZDWwMdZgXGkCurJ06KIIDHMHjtPIzbCHnJsK4fbBr12AVCQRDoPOZF+s54g7tnT3Js9a+14uhpqkmZN9idpRPacCEsjVErLpGQVXPqqPURiUSdZk3fJyf3DmlpJ+vaHBXVRJdmplgZaHExPK2uTWn01Gm65ty5c1mzZg0bNmwgKCiI119/nfz8fF5++WUAXnrpJT755JOy44cOHcrKlSvZvn07UVFRnDhxgk8//ZShQ4eWOXsNFgEQRUokAgjqIJEhCGpPFFNJyCokOr2Abk9J1fzh2g8AdLMt31F7LGHHISsW2pcflRNFkdB27cu2XX1vItHUrNx5AKm+BgZ9HMi/cu8hAQRBEGjRUynOs/HDpzxg/qv6maEq1K4v9Jrijs8kVwDObg0hPeHJK/qaLi44rF2D/epVAMS+Mp30detq3M4noWZsjOXHH+EeHITzyRO4XDgPQKGfHxH9+j8U4Uv+7rsqN32vb6hJ1Lj04iW8Lbw5E3+GGcdmNOpVdR0vc6zmtkXNQpviiGySfrhOxo6QBpnC2bFjRzw9PckzCqNQlkPgxSenTmqpaTHZYzLnJ5xnic8SonKi+CPgD9pvac/RqKOVrs1Ulwgsc3ckubiU6QFR9et1I5GAx3CYdRHG/Ak5CbC2D2weAwmPRjFb9RtMv1fnEHj2FKc3rKk1M4e1suHAm10JSc7lhV/Pczb0+RKEMjX1wcysL4FBH1Bc/Pj2WioaFoIgMLqtLScCk5HJG959tSFRp07e+PHj+fnnn/nss89o3bo1t2/f5ujRo2ViLLGxsdy796CfxoIFC3jvvfdYsGABHh4eTJ8+nQEDBrB6deMQRhCAkn+FVwQZCE9OrbwYnoYgQKemT47kAQxtOhRjLeNHf5EeAV8YQs5jPvyvrQEbb7BrW+68we7KGjjtVq1wDw5CovPkyOOT0Otig5qpNlmHHq5B6DtzdtnPW+e/R3bK42u8ANC6n976DM1wVdQMLbrbMvaTdgBs//oa8grc1PV69sT5jFJQJ+Wnnwnt2Al5Xv1QP1QzM8M9OAibRT9jPPFFtL29y36XsWEjwS09SV22vFE5e/oa+qwfuB5vC2+uJl1l+e3l9euBvZpRM9XG4rVWWM5ti7aXGQV+KaQsv03+rYb1kCkIAkOGDEFXT4d8q0BObL31VEcPQCqR0sexDxcmXODTTp8C8MG5D2i1sRU/Xv+RYnnFxVSa6GjyTXM7zmXmsTOpHgqJSCTQchS8fglGr4OsGFjTG7aOh8RbDx3q1WcA3SdO5dbRQxz//TdKimonstbCxpCbC/ri7WDMK+uvs+RkaKN+//0XQRBwc/sGQVAnOGRBXZujopoY1NKavGIZu24+XpxNRfUgiM/LneI+OTk5GBoakp2dXW9SN7cu+gqfE+uILbEg/IVfWWj7MyTrUXRvHNHfv1DuuLe33yIyNZ9Dc8qP0KUVptFrZy++7fYtQ5sNffSATSOVPeYEKXz+H7nr9AilWuWIldB64mPnDuvVG9l9J9wtKPCJUceKUhicQfr6u5hOcUe7xYMIZfTtm+z57vOybc/e/en/2luPmSALfnAE69bwWs30YFPxbBz93Z8IX+Uq9OxVvSs0RhRFEt56i9wTJ5EaGmLxwfsYjRlTk2ZWiYzNW0heuLBs22DoUGy++7ZcddmGhiiKzDo5i0uJl1CTqLGm3xraWbWra7NqnOKYHNI33kWRL0NqqoXJ2OZoOj29vU19ISMjgw0bNpCfXYRBqhctOjShz9TKiVRdu3eN6cenA2CsacyY5mOY6TUTbbUn14OD8nUz5nYEEQXFnO7girF6PX4/KOQQsBfOfg/p4eA6GHw+BusHomV+J45wdtM6dAwNGff5dxiYWTxhwmo0TSGy9J8wlv4TRs/m5iyf5I2eZj3+W1YjScmHuHv3HVq3Wo+paSVLT1TUS0avvIS+lhrrX+5Q16Y0OCrqyzQodc3Giojw7w/KSB7qIDw5CiCKIpci0p+oqnk96Tq9dvYCoLPN4+sc0bkfBRT/r17ixh+gbQItRj12WO7p02UOnust32px8AC0XI3RbG5M1t9RiKUPIj5Ordsy+pMHjWnLlbTWNlJ+v3e7WuxRUX30n9Gy7Ofls05RkPN0FU1BELD77TeaHj6MPDubews+JcjNndLkJ0Rz6xCTyZNwveOHwVDlgkrOoUMEt/REkV9+FFKUyym4fp2MzVsQSx9tJF+fEASB1f1W83XXr5EpZLx87GVCM0Pr2qwaR9PRAOsFnTAe0xyJthqpq++QuTcMRXHDiNaamJgwY8YMdAw0ybG8TeDVWIKv3Hv6wP/QwboD/lP9OTTiEN1su7HGfw0+O3zYHbobmeLJfwdBEPjN3YFsmYwFYfVcbEEiBa+x8MZVGLkaUoNhdQ/YPgmS/AFo1W8QL/34G/LSUrYteJ/8rNqJUEokAu/2a86f09pzIzqDlp8fe27SNy0tXkBLy5aQ0C+emyhmY6ePuwWXwtPJbyD30YaIysmrBwhl38Uy4RUkT37Rh6XkkZpbTNcniK68c/qdsp/NtMtxBmOv3j+guTJtMzUE5KXgt10puKKu9cgQsaSE+NffAMDtbgAS7aev5FYUQRAwGtIUeVYxuRcefhhwat2Wd7cewMRW2QZDoSinkN/7fr+zf5VBVdQLJBKBWct8MDBTvqb+/PACWSkVa4iq2bQJrr4P6mTCe/qQd/5CjdhZVSQaGtj+9CNuQYGo3VcKDmnbjqzdu5FnK5uLiwoFBb6+JC38hnCfXsRMeYnkhQsJ7dadlEWL6r2YywjnEZwaewqAmccrrqTbkBEEAd12lli80Rrd9lbkX0si6cfr5J6NR5TX/4dOfX19XnzxRRTIybcJ4MQGf85tC6n0A7OToRPfdv+WTYM20dW2K19e/pKBewbyw7UfiMgqvx7aRkuDd52s2JOcyYXM+v36BpRiXq0mwOzryoyW5LuwqhvsmALJdzGysmbMp99QXFjIzi8/oTC39nrw9nKz4MCbygyeqX9c42jA43sLNyYEQYJr8y8pLIwmMXFHXZujohoY6mVDiVzBnxefIKqnokqonLz6goAykndfeEV4SiTvYngaGlIJ7RxNyj0mp0T5odPPsd/jD8hOgOxY5c9p91fjl3eA0GPK5udtJj0yRBRFgr2UaSv269Yi1IDgjbqFDnpdbMg9HYs85+HaD4lUSufREwAouP/A/Ah970f8Dr5Z7bapqBpSNQlTFnbB1FYPgC2fXWHvTzeRlTxdeU+io4N7cBDNTp5AzcqKuNdfJ33t2po2+ZkRBAGXM6cxmf4KAPcWfEpox07Evf4GwR4tiJk4idzjx9EfNBDHrVux+eF7pIaGpK9ZS2j7DoS0bUeQmzsh7doTNWo0UWPGknvyJLLM+lHXZK5jzmter5FRlMFa//r7f6huBImA8SgXrN5vh5arCdlHokiYf4G8SkbG6gJra2tmzJiBQlJCkf1d/M7FcONw9DPN1dqiNYt9FrP9he14mXuxM2QnIw6M4O1Tb+Of6v/YMTPtzLHRVOfnqAbklEjVlCULb16H4cvhnh+s7Aq7pmFaHMmLX/9EQW4Of7zzGsUFtVc37Gyhh9/n/RnYwopZm2+y4kx4o49wmZkpM5OCQ+ZTUqJSZmzo2Jvo0LGJCccD62dmTmNA5eTVG8SyFgoCak9N17wYnkZbR2O0NR7vZP370PWa12ss9ln82GOIu6L87jH84f23NoNNG7Bs8ciQ6NEP6qH0unZ9oo1VwaCPA4K6lOwj0Y/8TnK/vqncD1QdE9C9XyNxbH4NWaiiKoxf0J5eU9wAuBeRzeq3znLjcHSFHlI07Oxoun8fBgMGkPLzIhI/+rhOe+o9DcsPPsDl8iXM3ngdqYkJ+VeuYDhyJI6bN+F85jRW8+ah490Gw+HDcT5+DPu1a9Ht2QOddu1AKkXdzo7iiAiKAgKIf3MOYZ27ENa7N4qiupf2f6P1G5hqmbLUdylxOfWzB2lNoWamjck4V0xfUta2Ze0PJ3XNHYpjai+i8yzY2Njw0ksvkV+STbrlJa4eiqyQGEt5tDBrwWKfxVyZeIWvunxFZHYkEw9PZMaxGewN2/vQe1pbKmGOoyVXsvP5I76BpRlK1aHNZJhzE4b8AmEnYOMwzC9+wrjXp1KUl8uyl8cjq8WUa0NtdVZO9mZm9yb8eDSEbw8HoVA0bkevaxdlBkdk5JK6NURFtdDPw5LgpNznsg9kbaBy8uoL93M2lU6e9ImRPJlcwdXIjHJTNUMyQljquxR4QhQPlKmaJk2VvYJeO/9gf+gR5YfZ/1ESHU1RYCCgFFqpSSTaahgMcKTgVgrFsQ8/NOmbKFNPFfIn3BReOar8fnmZcuVVRb1CEAQ8utowa7kPbp2VKY1XD0ay4vXTFXL0pEZG2C76GaPx48k+cIBgjxYUR0bWtNnPjJqxMeZvvUXzSxdxu+WLzXffotOuHYLk0VuwXreuOKxejf3qVbjfDaDp/n24+d3G+dxZ7FatRM3CAlniPULatkMseXpdY00iESSsG6BscTF432DSC9Pr1J66QNvDFNtvu2E0rBmytEJSV/qReyEBsR4/bNvZ2fHCC/dFvZrGcGZbMJG3quZ0qUvVGekykv3D97Oo5yIC0gP4/NLnDNwzkAsJD1Krp9mY0tZAhy/CE4kvqtvX7zMhVYd2L8PHcTDyd0i+i/mhcfh4KtPQdy+cT2lx7S3ACILA/Bc8+HpES9acj+LVTTfJLarftb1VQUvLGifH10lI3EZBgSrNr6HTpZkZJTIFlyOev8+O2kDl5NUTBCjrkyeI0ifW5N1JyCa3WEaXckRXphyZUvazq4lr+SeNuwL2nZQ/W3s9/LuWox85PHPXLgCcz56pNqGVJ6Hbzgp1a12yDkU+9MAkuZ8i+kQnz7QZeIxQ/ry6Rw1aqaIqSKUS+kz14PXlPmjpqQOw58dHe1SVh/WXX2C3fBkAkYNfIOfosRqxsz6gbmGBvo8PLufOotezJ8jlBLdtV+diLc2MmrGo5yIAfHb6EJX9/D14CRIBvS42WL3fHt3O1mT/FUnqGn+KIrLqbQpd+/btGT58OGkFsWg1yeTYugASQqueCiyVSOnv1J/LL15mXsd5GGga8PrJ15l5fCb+qf4IgsAmr6aoSQSm+UehqKd/n6cikUCr8TDHF4b8QlvdYIbZBZIQHMi2j2fXWnuFf5nSyZFVk9tyOSKNsasuE5rcAOoenxEnpzloalhyN/C9evv+UlEx3K31sTTQZPv12Lo2pVGicvLqASKSB5E8KUon7wmRvIthaehrquFl+3gJ7z4OfQA4O/4JLQSKc5VKYQ6dHuz78P7D2bDfQPvhnnpFIaFkrPsDgxdeQP1+H8OaRpAIGA1tRmlcLgX/6U/1b/RDfJKTB8oGt//yRcORO38ekUglTP9ZKYudHJVDUX7FHRf9Pn1oeuQwOh07kvDOO0SNHoOiuOJ9vBoi9qtXod+vL5SWEuzphSy9bldB+zv1Z5K7soZ32P5hLL65+Ll8+BLUJRgPd8ZshieylHzS1viT8MkFCu+m1cvIXps2bXB1dSU21x91izz+XnGHxPCsaplbEARedHuRnUN28ovPL6QWpDLx8ETe/OdNknJCWeXhSEBeIT81pPq8xyFVg3avwBxfXMZ9zDDHCDLu3WPbm2ORJwXVqikDW1qx540uiCIMWnqefbcaZw8yqVQTl+afkpPjR3Z2xRcFVdQ/BEHAykCLrILGG32uS1ROXj1CEKFEKiCIwhPTNS9GpNGxqSlq0sf/+4IzghnTfAwmWuWLshB/A0TFw06ejgl8kf1AnfI/RA1X1u2Zv/tOha6lutBsaoi2lxnZR6PK5Mql92vy/sfeWYZHcXZh+J6VbNzdBQuuxV2Ka4trKVIopaXyFWrUHVqKF9cWKW6llOLukmARkpCEuHv2+zEhWDy72U2Y+7ratdmZk5CdnfOec54np7gkTyaDT564+D2/QlthSmiIDiPEyvPyd4+Rk1XyOTuVlxfuq1Zi/8EHpN+4wa0GDUm9dKn4N1ZiXObNQ+nuDsCd1m14+Ouv5CQn6yyeD1/6kP2DxDbplddXUn9NfRIyChFHquIYVrPE6eMWWPTyAiBmrR8Pf7tE2o0YvUv2Bg8ejIuLC6G5FzByymTnr5d5cCdeY/sXBIEuHl3Y0ncLX7X+Cr9YP4bsHkJO0kn62VkyNziSgNQqsCijMIDmE6n+7TX6D2xNdBLs/Gg8uVsnQ2zFVbdrOZqzbWorBjZy4Z0/r/DupitkZFe9eSd7u26oVI4EBs3XdSgS5WRAIxfOB8eRLFkpaBwpydMX8mfyBGRFVPLSMnO4GBxf6DxeWnYaAQkB1LYpxug25IxYrbOpXmxocRs3AmA5bCgGrq7Fbq9pLHp6kZuWQ9JhUdhBkIntmkfWlEDRT66AmXlWDLvf0VaIEhqiTlsXbFxF5c3F0/4r1XsFQcDmtXE4ffstAMHDhuf/7VZFBEGg2t8H8PprK8bNmxOzaDG3mzYj4quvdRaTi6kLl0Zdwt1MTD7b/NHmhfDRKwhBEDBr64rLt22wm1gfBIhZe5OoxVdI89Of+RO5XM6IESNQqVSE5p7H2kvG9rmXyj2j9ywKmYJ+1fqxf+B+XnJ8iQ+OfsDxS0MxIJtxlblt81nkCjwHf0SPydMISLZmz0E/Mn99CXa9DYllF7gpDcYGCn54pT5zBjdg15UHDFlymrD4im0f1TaCIMfL6y1iY48RG3tS1+FIlIP2Ne3JyVXz941KXtXXQ6QkT59Qq8mUgyxXVmiSdy4olsyc3EJN0G/F3iJXnVt8knf/lDiPV4Dww5PkpqYS8fkXADh+8knxP4MWUFgaYtbelaRjYWTHpGFkbg5A+N1bJMWKMspRwYEcXDq/4DkIlSlYeoj3Z1tIQix6Tv93GuXfP7jyRqnfbzmgP2551goRn3/BrabNNBabPmJYuzYeq1fhsXEDAHHr1nG3U2edqW8qZAr2DNzDD+1+AGDI7iGkZpXMD7EqIggCKm8LHN5qjPWQmuSmZxOz+iYRP50n+dQD1Dm6V4Y1NjZm6tSpqFQqwoSLONYw4Z9VN4mP1Py/m1KuZFm3Zbzf9H1kuSkYRf7ArdR0Zly/qvFj6ZLaHV+m73sfcT/TkdUPOpB1+S/4pT7snwnJ2lcWFQSBgY1d+WNSCyIS0un+y1H+9a9aUvXOTq+iVNpw6fKoF7I9vKrgaWMMwPbLFbMI8iIhJXl6giCIxbwsGWK7ZiHCKyfuRWNnpqK6vWmBr9+MuYlCpqC6ZREVupxssV3TvXmxcQUOFAVY7D/4oEAlwIrCrL0rclMD4vcEYmRqRtM+AwFY+sZYLu7bxZoPpnH10H4uH9hT8A6mnn18f0k7MdmbbSHKYEvoFYYmSqYsFP2Qbp+J5PjmO6Xeh2mb1lQ7Ks6k5iYn83DOXHLTqtZK9rMYN2pEjTOiLUrWgwfcatiIzOBgncXTw6sHv3T4hezcbJpvaM7R0KM6i0VfMG5kj8M7TbAcUA21Wk38jnuEfXSClAuROm/jNDc3Z8SIEaSnpxFhcAGVmYxdv10mWwvS5oIgMLrOaK6Ovsr8lhMwzbjOn5FJvPnfZ4QmVZ05surNWvLKJ9+QmJjGvOv1yWk5XbQo+qWemOwlat9bsbG7FQdntKO+qwWvrTrPvEN3qozNgiDI8PZ+G4CQkJVFbyyhtwiCQPsadoTGpVaZv019QUry9AY1qCFDLiBXF17JO3k3htY+NoWqW/rF+lHdsjoGcoPCD/XwBmQmP1bWLITc1FQyg4Iw8PbG5rVxJf5JtIHMQI5FTy/Sb8aQfieOtsPH5L92eNUSMUsGjm1YVbBPkdJQnM+r9+rTz69/RUz2rm2B3Ko3t1BZEWQCE34RVVGvHAopk+qf0t6eWn43sR43jpilS7nVqLFeeMtpE7mFBb7+fpj37g3AvZe7E79li87i6ezRme/bfo+Rwoiph6by8/mfdRaLviAIAqbNnXB6vxnWw0SvyLjNt4n8+TxJx0J1WpFwcHBg4MCBPHwYSY5nAAnRaSyZdkRrF16CINDVoytHOgxELjdhb0Zd+mzvy/dnvyc+PV4rx6xoHLx88GzQGIDl2wLIefMitJ4Ol9bDr/Xh749FITQtYmaoZN345rz/ck3mHLzNxLUXSEirGkIXri7DMTerT2joWnJzq8Bs5wvK+DZeBESlcPjWw+I3ligxUpKnFwj5/8+QgTxXQBBygaeTjvjUTK4/SCjUOgHAL8avBK2ap0FuIBqeF0Ho9LcBcP99aXE/QIVgVN8WA09z4ncFIKhlzPhjV/5ro777Nf/+ho9mFLwDuQIGLRPFZWYngHfHx69tHQ9fWEOYpNSlLxgYKhj0QRMAts+5RExY6UVFBEHA4X8fYN6zB4BY3QoK0mSYeonLTz/ivW8vAOEff8KD//1PZ556Pb17cnTIUerb1WfVjVV8cOQDncShjxg3sBNn9ibXR2aiJGFPIJE/XyA7RndV55o1a9KtWzfuhwai8ooF4N81flpNPl0MjVlW15tUg+rUqv4Ff976kx5/9WD73e1Vog1v0Kwv6DbpLVLiY9m/chXq9v+Dd65B88lwZil86wpLO4pdNlpCEASmdqzG8jFNOR0QQ9/5x7kaGq+141Ukvr7fkZZ+n6DgJboORaKMPBpBOh9cfhsXicdISZ6+IABqNVkykKvzqnTC00neqXsxqNUUOo+XkZPBvfh7JUvynBuJ1a1CfwsGzwABAABJREFUyAoPJ+WYaJCudHEp8Y+hTQRBtFTIjkol5fQDBEFg7JxFjJ+3DHtPb179RBSciAoOJOJeCVr8Rm+HT6JFy4hH/N5JrOzteVc7P4REqXD0tqDPWw0A2PFL2dUyXebMwfataQDc696DpH/+0Uh8+ozKywuf/fsASNixE/9GjYlerJuLIEOFIet6rKOLexf2Be2j11+9qsTFuyYQBAGVpwX2UxpiPbwWuenZRPx8gYSDwahzdPM7atWqFU2aNCEs7QZe7ZXcOh3B+b1BWj1mdzsLRjnbcDjNlZ+776ajW0c+OfEJkw5OIiw5TKvHrgjqdepGp3GT8D9xhJXvTgFDC+j2JUw7L27w4CJ8aQOB2m1r7uzrwL7pbTE3VDJo0UnWngqq9J9FU1NRlTkw8FfUat3PuEqUHrlMoFttB47ejqr0f4/6hJTk6QmiGTpkyATkj/6+n2nZPHEvGi9bE1wsjQrcx924u2Srs/G19i38QGq1mOS5FT6Pp87M5G7HTgB4bfurFD+F9jFwMcWkmSMJB++Tk5KFjYsblg6OALjXbUCj7n0AWD/rHX4e0psrB/cSHxHOtcN/F3zikCtFy4h3bz39Ozm3DHa8CVlVu72vMuBeW1SSTUvKKpV/3rPYTZmCy2/zAAh9cxp+tXxJOX1GIzHqKwaenvj6++E6/zfIySHql18IeWOKTmIRBIG5HecysPpA7ifdp/6a+i+kcXpRGNe3w/GDZpi1cyXp0H0i5pwn/VasTmLp2bMn9vb2nL11iOrtzTi7K5Abx7SbbH1ZTVxQHHb9IdNems3CzgsJSAigz7Y+fHT8I2LTdfO70BQNuvbE1s2DuAehBFw8Jz5p6S52lgxZLz5e3Qf+mggx97QWh5u1MVveaMmI5h58suMG0/+4TLoWZi8rkvr1FgPwMGq/jiORKCu96jtx40EiQTEvrlCXppGSPH1ATb6FQpYMFHm5yLPiKyfuxtDKp2DrBICbsTeRC3KqWxUhupIQAkkPnvbHe4Z7vfvk3zf0LSJh1BHm3TxArSbx4POiEh3HTsTU5nGl859lC1k+fQJ/L57HnKF9nts+HzNHGP+3+GU7MM+a4dJa+NoBbu7U9I8gUUoG/U9s29y3+Fq59mPetSu1blzPf3x/7Fj8avlW+ZVDsy5d8n/u5MOHCRo5Umc/8+etPufNhm8ConF6dFq0TuLQV2QGciy6e2L3RgNQQ/TKG0TMvUD6rdgK/Td7ZK0AcPLWHmq2dOS/DbcIvKI9ZUhDuYzDzcSqzPjrQbRxacOO/jsYXms4B4MP0uuvXiy8vJD07Mq7+Db6h9+wdnFjz7wfSXj4hGS8b2/4NBZ6z4W7/8BvjcWFxof+WolDpZAzu28d5g5pwN83I3hl8UkeJlXe36udXVcsLZsTLLVsVlra17AD4HSA/ljMVHakJE+PENTiTJ4ir11TaXEu/7UH8WkERqfQpph5PC8LLwwVhbdhcj+vclFIJS8nKYms+/cBqHFWP6scclMDzLu4k3ImnKyIlKdeEwSB1+Yu5u312zEwKrjiWSz1X4VR2x4/3jRKbOFc/nI5opYoD45eFgA8uBNPTnb52nEEuRxffz+qnzie/5y/b23SrpUvgdR3BLmcGmdOY1inDmnnL+DvW5usSN0MuU9qMIkFnRcAMP3wdJ3EoO+oPMxxfL8pVoOqo87IIXrlDR7Ou0R2QsWJS1hYWNA7T8THonYKLjUs2b/0OhGB2jO59zU14qeablxMTGVlWDQmShPea/Ye+wftp5d3L5ZcXULvbb059eCU1mLQJoJMxrAvf8TI3JwNH79H7IMn1ERlcmj6Grx9Hbp9JS40LmwOm0ZDinYWQwY0cmXrG62IS8mi56/HORtYeaulLs5DSUq6TkJC2Vv7JXSHpbEBzTyt2Hap8rdn6wtSkqcv5PVrZgmgyOspV9k/lvc/cTcaQYCWhVTybsXeYvPtzSUwQT8tGqCbFJwsJu4RxRo81q1FnudHp4+YtnRGYWtE/M57z61uK1WGyBUKpq3azOQla5nxxy5aDx4JUPKVcJ9OYlXPyuvxcyGnxWTvt6aQK/X9VzQt+nsDcHa3Zlr8FDY2+Pr7YdpRFOAJenUwIVOmVumqntzCAq+tW7AcMgSAkIkTdfbztnNth6upK1ejrhKUEKSTGPQdQRAwaeaI4/+aYdnPh+y4dCK+PUvYpyfJTa0YdcSmTZvi5ubGnj17qN3DHAt7Y/YuvFomIaSSMtLZhlaWpsy6E0ZwmpjUWhta83GLj9nSZwtuZm5MPDiRkXtHcvnhZa3FoS0MTUwZNPNzZAoFf337GamJzyTNBsbQahrMCgefznDvP5jXCE78CtmaT/LrOFuwaXJLvO1MGLzkFFPXX9T4MSoCe/ueGBtX487db3UdikQZsTVVVeqFBn1DSvL0CCFvJk9ZwDXXibvR1HE2x9K4YGuEV3a9AkBwYjG+WPdPF+mPFzF7NnI7W4ybNi1x3LpAUMiw6O1NRkAC6TcKL+2bWFohCEK+x1/4nVulO9D0y2KyN/KJ2cSYO/CFlZjwSVQYTbp7AnBxv2a939wWLcwXKEn+91/udelKToL2KhX6gNPns7GZ8DoZt27h71tbZ4net23Fi7E+2/twM+amTmKoDAiCgGlLZ5w+aIZRAzvUmTmEf3eOzFDtSu8/YsSIEXh4eLDhj3U0HWyDUiXnz6/PkZqoPcXWL6o5oxQEmp/2I/UJw/jqVtVZ/vJyvm/7PenZ6YzaN4pph6ZxK7aU53YdY+XkwiuzviThYSSLJoxAXdDCoYExjPoL3roEDYbCP5/D/GZwY7s4X69BXCyNWP96c0xVCvZcC+eT7dcr3ZyeTKagms+7JCRcIPLhPl2HI1EGHrVsPoiv2r62FYWU5OkJAuIJO1sA+TOvqdVqTtyLKVRV80mmNpxa+IvpCRB5A9xbFvhy6jmxPdSiZ68SxaxrjGpaY1jTivg9Aaiziq6s1evUDYBdc74p28GqdYYPQ+DVVWBT7fHzsy0gWXszKhJP41RNTKzjIzU7mP1IoMT5xx/JCgsjaOgwkv49rNFj6Bt2M2Zg3EKczfX3rU3cxo0VHkND+4bM6TAHgCG7hxAQH1DhMVQmZMZKbIbVwvH9pihsDXk4/zIpFyK1flxDQ0OGDx+OiYkJW7Ztot0obwyM5Oz89TKZ6dqR/a9rZsyvvu4AfH736fYtmSCjp3dPNvXZxPdtv+dmzE1e2fUKbx9+u1KJ+di4utHqVXHu8b81ywrf0MQGev4IU06BXS3YPAZW9tC45Y9SLuPa7G581b8ua08HU+uT/cQkVy7vOVvbrpia1CQo8LfiN5bQO1r5iNe5l+7H6zaQKoKU5OkLeRYK2QIon/E5v/swmaikDFr7FJzkPRpCdzV1paVzwQkcAKHnAHWhJujBo0YDYP9e5bEPsOjtTU5CJknHQovcztjCEoDkuHK0ARiaQ50BMO0CfPxEYvdTNUiWDDwrgo4jRfPo9Z+d1sr+Lfr0xnPzJnLT0wmdMgW/OnXJSU4p/o2VEEEQ8Fi1EqtRo1C6uBDx+ReEvvMOifv2kXrxYoUZx3f16Mr0xuJcXr8d/cjIqVwXlbpAYWOE/RsNMKpnS9zm28Ruua31Y6pUKkaPHk1OTg77/9tB94l1iAtPYff8K2RrqeIz0MGKnrYWbI2MIyz9+arho2Rv/6D9fN7qc/xj/Rm4cyAfHvuQkMQQrcSkaVq+MozWg0dycd9Obhw5VPTGdjVhxCZxZjw9QbT8+WsSJGhuhkkQBEa28ODbgfUA6Dr3KOeCKk/7nCAIeHpNIznlFuHhW3UdjkQpcbEStRRuR1ZMl0JVR0ry9AA1j7O6bBkYyJ7O8o7fjcZALqOZp3WB7/ePFdW3alrXLPpA90+DsS3Y+Dz3UuL+A/n3BaWypKHrHKWdMaatnUk6HEJOMYIE1Zq1xMhMQ3OGCgOxjbOWKErAT9U13j4j8TxWjiaYWqsA8D8drpVjGNWrR7V/DiK3sICcHO5160ba5ctaOZY+4PjRLHz+OYjTN9+QtG8/Ye/MIHj4CG41bIR/4ybErl6t9Rher/c6P7b7EYCm6/S7VVxfEJRyrIeJix6p5yOJ3XwbdTlFiYrDwcGB4cOHEx4ezulrh+k5tT4RAYkcXHFTay2/X1V3wVAm4y2/+4Vuo5QrGVh9IH/1/YvJ9Sdz6sEp+u/oz7yL80jN0n859uYDh+BetwEHf59PVHAJKpE+nWDSMej9C9w7BL81gcPfQKbmftZhL7lz/uMuVLMzZdTyM+y88kBj+9Y29nYvY23dlsDA+eRIi0aVCrlMoKW3DbcipCRPE0hJnr4giDN52cLzSd6JuzE09rDEyODZRk6RUftGAfB1m6+LPsb906J1giA891JKntKgvvnilQTzzu4IBnIS9gcVu21aUiI/D+mtuYMPXf/4/uK2mtuvRKEM+1ScKT20yk9rx3ikROm9exc5sbEEDR3GrabNCp6bqQIIgoDlwAFUP3YU9xXLcfv9dyz690edmkrkt9/hV8uXrIfarVZ39+qef/+Dox9o9VhVBUEm4PJtG8w6u5N6IZKwj0+QEaTdeVIfHx969+7N9evXiUoLpP2wGgRciuLvZTe0UtFzNjRglrcTJ+KT+S246NZUY6UxkxpMYv+g/YytO5bVN1bTf0d/joZq12C8vAiCQJ93ZmJkasaWrz8hK6MEVXS5ApqOg2kXocVkODEP5jeFmzs0tuBoa6pizfiX6FnXibc2XuKr3TfJydX/xUxBkFGj+sekZ4QRGrpK1+FIlBJPWxMCo6tmB01FIyV5ekaOIKB44l8lKyeXMwExhbZqZuY8bmExUZoUseMssX+/AOsEdW4uyceOYzlsqF764hWHzFCBxcuepF56SEZwYqHbeTV6XCHIzS34YiQ7K4uU+LjSBfBZvHgbeU2jbTMSBWNgqKB6M4cKOZaqWjWqHT0CQG5yMv6165CbVnUHwhV2dpi0aoVp2zY4f/cttfxuYtZDTL7utmuvdYGWy6MuYyAzYF/gPn4494NWj1VVEAQBi64eWA8Xq3pRS66SsC9Qq1W9Jk2aULNmTfbs2YODr4qmPT25e+Eh2366SK4WkoDhzjZ0tjbn64DwAts2n8VIYcS0RtPY3m87jiaOTD00ld7behOSpL8tnIampvR7/xOyMzPZ/cv35GSXcNbR0By6zIY3ToC9r2i3sKyzOH+vibiUcn4e3ICPe/my4kQgU9ZfICVDO3OYmsTEpBoW5o25e+8HcnOlal5lorq9KXceJlU64R99REry9Am1mhwBVE9U2n4/FkBSRjatChFdOR1ewtmkiKuQlVqgCXr4p5+SHRGBRW8NVrgqGOOmDihdTInfdQ91IRcZ9Tu/TLdJbwGweOIokmKi+XlIby4f2EPIjatkpKYwf+yrLJ40qmQrqY8QBDARFaGYWxvW9JdaN7WMg6fYdptSAZ5hSnt7fP39sH7tNQACB71CRmDlEXcoD4Ig4Dp3LrZvTQMgZlkR4hAaQC6Tc3r4aWSCjLU31/L16WK6EyTyMa5vh8tXrTFp5kjSkVDCPj5BspZamgVBoG/fviiVSlavXk3TXh50n1SXh8FJ/LtaOxX2RXU8sFLImeFf8kTNzdyN1d1X80mLTwhODKbnXz1ZfWM1WTkVYz9RWhx9qtPjzXcJvHSBtf97i9SE+JK/2cYHRm6FMbsgPRGWtIddb2tk4VEQBF5v683SUU05cCOSOp8dqBSVFg+PSQBERu7RcSQSpaGmoxm5agiNq7oLqhWFlOTpCY/yuhxBQCl7vAJ77HY0pioFDVwLluufekhU0zw25FjRB7h/BhSG4NTguZcStojDyUaNGpUhcv1AkAlY9vEmKzSZ1IuFt5U9qualJSWydMpYAA6tWMSmL2Yxf9yQ/NXTuPBSzh9Me0LlLOAwfG4JCUWLwUiUHefqlgAEXtGOQXBBOHzwPm6/LyUzIICAHj1J3Lu3wo6ta2wniRdLUT/PITNUu9VqpVzJpVGimfHWO5JwQmkQFDKsBlbH4e3GAMRvv0vSEe1Ur0xMTBg8eDBJSUns3LkTn0b2vNTHi1tnIrh6WPPnPnOFnHc8HTgSl8Qf4YXb5jyLIAgMrjmYA4MO0MShCXMvzKXfjn4cDT2ql56Y1Zo2p8uEqcRHPGDTF7PISC3lnJ1XO5h8HDp9BNe2iJYL/32vkXm9LrUd2PqGKO7WZc4RvRdksbXtiMrAgfCIyjeG8iLj6yQu4h67IymXlxcpydMDHn3NCHl3DOSPk7xTATEkZ2SjkBf9T2VpaFn0QUJOg3NjUKieejo7VjxJGzVtku8lV1lReVpg1MCOhP2B5BYi621qZU2LQUPzH7vVrvfU6y9PFlX+Qv2ul+7ghhaiEMsM/8fPza0DafGl249EibB1MwUg7FYpW2vLiWnbtnhu3iwee8a7hL33foUeX1cIcjnuq1YCcK9LF9Q52m2jkQkyPm7+MVm5WRwJOaLVY1VFlI4muHzdBtNWziTsCyJmg1+hHQ7loVq1anTp0oUrV65w4cIFmvb0pG57F479eZsTW+9q/HgTXO3oY2fJ2/4hXE8qXdLibOrMqu6rWN9zPXZGdkw9NJXhe4brpZl6/c4vM/SLH4mPDGfHj1+SllT4GEKBKA2hzTvwzjVoPBqO/gALmoviLOVMbJt4WHPuoy408bBi2NLTrD0VVK79aRsfn/eIiztFfPx5XYciUUKsTUQ/6PPBFfv9XhWp3Ff1VQU1jzM8QCHLISu+MblZlgBYGBWsdpmQIQ7Yt3NtV8z+1YWaoN9p1RoA5+++L33ceohFDy/UGTkkHi589br14JEM+fx7ZmzcyYCZsxn/6++8/ttyxs9bRo0W4u/j8KqlpV9BBTB3EpM9Myfx8fcecFLy69E0giCgMlaQllzxbVdG9epS49xZABJ37+Z2q9Z6WRHQNCYtWmAxaCAAIZPf0Prxunt1x1JlyQdHPyAlS/9bw/QNQS5g2dcHi55epF2NJmzWcbLjNW+L0apVKzw9PdmzZw+ZmZm0HVIDgMsH7xN4VbOVdkEQmFPLDQcDBdP87pNThs9dHds6rOq+il86/kJyVjKj9o2i3up6hCXr1zy1o091Xpn1JWG3/Nj8xSyyMsvQmm5kBT2+g6lnQWUKR76HdYMgrXwXz3ZmKja83pzhzd35ZMcN/rflKhnZ+jk/5eDQFyNDd4KCFug6FIlSEi4ZopcbKcnTJ/K+r5SyHHKzzUEtqmkmpBV8ITt2/1gABlQbUPR+44IgOfI5E3R15uMBdgNXlzKFrG8oLFWYtXcl+XgYWdGFnyBca9VBkMlQGqiwdHTCwt4BSwdHlIZGmNmI83WlFmB5khl+4JhXJfz7Y/jes+z7kigQB09zwm7FceVQxYspyM3MqOV3E4Cc2Fj8fWs/9Xmqqjh//TVKV1dSjh0j6d9/yc3Q3kykhcqCP3v/SY46h1nHZr0QibQ2MGvnitVgMfGK+O5coV0OZUUmk9G5c2dyc3NZt24dMpnAGws6YGSmZO/Cq4T6a7alz0wh5zdfD/xS0vkpMKJM+xAEgc7unfmr7180dxIXP/tu68vCywv1ynLBtXZdhn7xPVH3gzi+oRxWJjY+opF623ch6BjMawTX/4JyqAUr5DK+6FeX7wfV469Loby++jyJ6fo36yiTKXB3H09M7FHi4s/pOhyJUnBRMkQvN1KSpyc86WqgkGUjE3J5lPU9Kl0/y914sR2mi0eXoncecka8dW321NMpp0XRFotXBpU+YD3GtJ0rcjMDEvYElPq9giDQZ8aHAORkleOiXRDEuYjpV8XHaXEw2wJ+bQhZ0uqUJmj8sgcAxzff0cnxBUHA198vX5QkaPiIKmuc/iSP2jZDp0zlVoOGxG3apLVjOZs6M63RNP4N+Zf/Hf2f1o5T1TFp7IDthHqgEHi46ArZRSyAlQU3Nzd8fHwICQnhzJkzyOQyhs8WRb52/HKZRA0fr521Gf3tLZkbHIlfctn3rZQrWdZtGceHHmdoraEsurKIHn/1YNGVRXojzuJUrSYtXxnOxX07CfUvp2Jm509h+hVxwXfLOPjCCsKvlGuXQ5q5s258c66GJtB73nFuPihla2kF4OIyHIDLl8foOBKJkjKqhfj9np1TNW2LKgopydMn8haq5bJcOngG5T+9Y2rr5zYt1Wrj/VNgVwuMnzZTTzl5CoW9PU5fflmWaPUWmYEci55epPvFkn679NU4hVJMqks9B1EQVh6ij9Ej4gLha0cx4ZttAYH67d+kz7jUtKJBZzcAIgN1d2FhN2UKLnPnkH79OrebNiUjoGorbxq4uuK6YD42b0xG4ehIxKefEb9li9aON6bOGIwVxuwL2sf+wP1aO05Vx9DHEodpjchNyiTip/Ok39JshW3kyJFYWlqyb98+/Pz8MDRRMu6HNigN5exZeFXjHno/1RQ/+13O3yr3vixUFrzf7H229d2Gt4U3Cy8vpM/2PpwIO1HufWuCFgOH4OBdjb++nU3IzWvl25m5MwzbCK1EpWmWdoAjP0J22avyzb1t2DG1NcYGcl5ZfJJN50P0qvIuCDJsbDqQm5tBWpp+teVKFEz3uo4ABMfqT2W9MiIleXqFeFJUyrLIVT+ew3OzNn5uy9BkUb3s9XqvF7/b+2cKtE5IPnIE0/btEAowR6/sGNWzxcDLnPjd91CXciVIZZIn6uF/UzPB2PiIc3ofhoBLk6dfW90HQs5q5jgvIE16iKt9W74/rxVhiZJi3qMHbr8vBSCgZ0+ilyzVWSwVgVnnzthPn061w/+iqu1L+MefcLtlK3IStZNsHx58GID3j75PXLo0jF9WlA4mOH7QDAN3M6JX3iDpaKjGLsYFQWDaNLGqvWfPHmJjYzE2N6D7hLrEPkjhn5WaFX8xVciZ5e1EjhqOxSZpZJ/VrKqxsvtKtvfbjo2RDZP/mcxHxz8iMVO31SmZXM7gz77F3tOLTV/MIuCiBtoOu30JH0VAmxlw5DtRhfPKn2UWZvG0NWHrG63oXd+JD7Zc5c0Nl0hI1Y9qKEDdOr8CEBa2XseRSJQEHzvxOux2hGY+2y8qUpKnLwjkV/IUsmyMlUWfaMOSxNWo4bWGF73ftDiI8gO3p5O8zOBgMgMDMW3fvqwR6zWCIGDZx4fsqLRSe0WZ2YiehGd3arg6YWgOE/4VE77ZCWLrDMDyrhB86vkvVz1aCdVXjEwNsHM3A+D3Gbqtipq2bYv3nt0ARM2dy5127bWuQqlrBEHAdd48ZCYm5MTFcful5qjLMedTGMZKYzb1FttCB+wYoDetdJURmaECu0kNMG5kT8LeQOK33dVYoieXy5k+fTrp6eksW7aMnJwc3OvY0HFkLe5desiRP25rtMIzyc0OhQBzgss2m1cYPpY+rO2xlk9afMLB4IP02daHP/3/JCdXd59nA0MjBvxvNqjVbPv+cxKjC7cKKjFKI+j8CbxxElTmsG0irOhe5hZOE5WCH15pwILhjTl2J4ruvx7l1L2S211oE4XCFBeXEdwPWSGZo1cCHC0MsTBScvdhsq5DqdRISZ4eICADQczzAOSybExVamQGhbfThCaHopKrsDUq2CQ9n0dVomeUNR/OmQuAScuWz76jymDgbIpJM0cSD94nJ6XkF4WPKptav0Bv++7j+yu7i956j9o4Z1s8//juP9qNp5Ly6kzR+zArPYekWM2rB5YGlY8PNS+IUt3ZDx/iX6cuOclV+0vKwNWVmhfOY/fuDABCp76pleP42vgyts5YYtJjaLyusd6pIVYmBLmA9ZCamL/sScrZCKJX3kCdpZnk3MrKildffZXU1FS+zBsFqN3GmTavVOfG0TAu7A/WyHEAVDIZH3k7cyo+Bf8Uzc79yQQZg2sOZmf/nTR1aMpXZ75i2J5hnAw7qdHjlAaVsTETFqzAwMiILV9/Wjqz9KKwqwlvHIfROyEtFn7vBPs+FE3Vy0Cv+k7sf7sd7tbGjFh2mvn/3tGL9k1Hh76o1VmEh2/TdSgSJcDbzoRbkVIlrzxISZ6eIMATlbwsDkaJioGCouDWpLDkMJxNnYtvtbx/GkwdwMrrqaeTDhwAQGZiUp6w9R7zbh6AmsS/g0r1Pvd6DfON0bXK7ATo8UPJtl03CA5VrflJTSAIAkM/eQmAgEu6N0+VmZiIgixTpwJwu2kz0q6V0nexEmI7YQJya2vSr1/X2gXdu03fZXTt0QB039qdQ8GHtHKcFwXzjm5YDapOZlACD746TfpdzbTC1qxZM/9+aKg4WtCgsxuNurlzdmcAUfc1d+E22tlGrOYFRWpsn0/iaOLIzx1+Znm35fjF+jHpn0l8dPwjYtJ0U6Eyt7Vn2Bc/EvcglEUTR2r2s+bdHiafgC6fw/kVMK8hnF5Upnk9Z0sjNkxowZsdq/Hzwdu8tuoccSm6VSC2tGyKvV0PAgJ/ITe36qshV3Zq2JsRFFP1xcy0iZTk6Q1P+OQJWaTmiAmGj4NRgVuHJYXhYloC24OQM+DW/Cn5zsR9+wBwmfdrOeKtHMhNDTDv4kHK2QgyH5S8oqIwEMVXkuNiydV2Ra/5pMctnM/+NzMM3jgFL38jbnvsJzj4mXbjqYRYO4uLFZcO3tdxJI+xm/YmDp9+AkDQq6+Sce+ejiPSPs4//EB2VBSpZ7UnVf5+s/f5tu23ALz939uEJ5euHVviaUyaOWI3sT7qjByil10nM0wzleePPvoIOzs7tm7dSlqaWGVr3s8bC3tjzu7WnDiRiULO7Gou7HwYz7oH2ku8XnJ6iTPDzzC81nAOBB2g7/a+LL+2XCctnLbuntRu2xGA3b/+QMDFcyTHaUhIR2EArd6Ety5CzZ5wYBb8WL1Mfq9ymcCMbjVZNropF4Lj6L/wBP4Rup1v9PR6k8zMKKKipc4Yfae6gym3I5LJkhQ2y4yU5OkB6ke9mvmVvMcrTL8MblLge/4L/a/4JC87E8IuPCe6EvaO2FZl2q4YE/UqgmlLJxS2RiTsDijxqqd3I9FuYsnk0cwd3k+b4RWNyhQcakPLqdAnLyk/8QvsnFYuj6OqhiAIGJsbkBKfQY4efSFYDx9OtaNHkFlYEDx6jNaESfQFk9atUFWvxsM5P2vVN7C3d2829NyAUqak29ZukhhLOTFwNcNp1ksobI14+Nsl4neX3n7mWZRKJYMHDyYtLY3NmzejVquRy2U06eFB0NVojVbzxrmIYwvv3QohLF17f3fGSmNmNp/J/kH76eTeiV8u/sKIvSM4F1Hx/ms93nyXZv1eIfjqRbZ9/zlLJo/m3K6/NHcAC1foNx+mnIaMBNHvddfbZWrh7OzrwP6322GokDN48SkO+2tgnrCMmJnWwsSkOhERO3QWg0TJqONsQWZOLgFRUjWvrEhJnh6gzsvuhLwERM7j+TFbU8Pntn/0hVKsvHP4FchOfyrJy0l6/MUqM3x+31URQS7Dsrc3GQEJpF2PLtF7fNs8LUij9WpeSWgyFobneZJdXANr+0OiVMV4RKfRvgBc+lt/qnkASnt7PFauICcmhsjvvtd1OFpFEAQcZs0i/cpV7nbtphURlkfUs6vHa3VfA6Ddn+24n6hf/+6VDbm5Cvu3GoFCRvLxMJKOhJZ7n3Z2dvTq1YuAgAD+/PNPAGo0c8Da2YQ9C6+SHKeZGVq5IHCqufj5H3c9kFwtz3/ZGtnyZesvWfnySsJTwnntwGt8ffprkjMrdv623fCxTF3+B6//tpwaLdtyfOMaHgaVP0F/Crua8GkcdP8erm4SVTivbSm1MJizpRHbp7amkbsVr685z4Yzuvu8urmOITr6H1JTNTcfKqF5ajmKomoHb2pWWOlFQkry9IUnRuvkskymVBerbAVVnkKTxC/fobWGFr3PkNOgNAbH+o/f+8YUALx37SxnwJULw5rWGNayJmFPIOoS+DUZGBnz7p+76Txe/H1lZ+qJGleNl8U2ztE7IOoWLGoF/nt1HZVe4FHXBoAzOwJIT9Yv9UXD2rWxnTKFhL/+IvXCBV2Ho1VMWrbEYdZMsiMjiVmqXSuJNxu9ycLOCwHota0XadmaFd940ZAZyHH5shUmLZ1I2BdIxJzyW5PUq1cPAH9/fx48eIBMLqPHpHpkZ+Xw9/IbZGdqZgHNy1jF4toeXE1KY0VYyRbzyktTx6YcHnyY95u+zx+3/qDHXz3YeW8nueqK6yYQBAELewe6T3kbC3t7dv/yHfGRGr4olsmgxWR48yy4vQRbx8OavhB1u1S7MTKQs2JsM4a/5M6sbdf4cvdNnbTiOTj0BeDipREVfmyJkmNlYoCBXMb5YKlTo6xISZ5eIDyZ4yEXMnAyFttP1Dz/BZuUmYRCpsgXICiU+6dFXzb5Y8+91POi8p+qevVyR13ZsOjlRU5SJklHS67KZ2xuDsCh5Yu0FVbZ8O4gyl67t4A/hsGedyFLusC1dRO9df78Rv+8B22nTsGoSRPuj3uNlDP6F58msR49GtspU4j65VetGqUDtHVtyxetvgDgy1OSMFF5eWQ/IzMzIPthGnFbbqPOLt+F+Mcff4yJiQkbN24kNzcXSwdjOo6sRXRIMrvnXyErQzOJXn8HK5qYG/NdQDjpFZQ8yAQZo+uM5u9Bf1PTuiYfHf+I8QfGV3hlWWmgYsCHs8nJzmb9zLeJuh+k+YNYuMKQtTBiK8SHiIuM/3wOmSVvp5PLBL7oV4cv+9VhzakgRi8/S2pmBYicPYFCYYK5eSMyMsLJzpZaAfWZeq4WJKTp16JtZUJK8vQF4XG7poIMZDJR+KOgJO/H8z+SnZtdtLKmWi0meU+2aiYkgEyG01cv5oWQ0s4Y09bOJP0XQnZCySpzLrXqAHDz2GFthlY2TGxg6Abo9TNcWgdLO0LkDV1HpVOGfPQS9Tq6khybwdE/SrfKrG0EuRz3pUtQOjvz4L33yImP13VIWsV22ptYDBxI+MefkHjgb60ea0D1ATS2b8yugF18fPxjrR7rRUCQCTh/1ByrQdVJvfiQyN8ulcqG5lkUCgXdunUjKSmJ48ePA+DTyJ4ek+oRdjuepdOPkJmmmQv9r6u7kpyTy9LQilXadTJ1Ylm3ZSzsvJAbMTcYsGMAf/j/UaFVPStHZ0Z8MxdjC0vWz3ybiLtaOgdW7yLO6rV7D04tgAXNwX9PiVs4BUFgVEtP1rzWnFMBMdT+9AChcanaibUQHpmjR0Rsr9DjSpSOPvWduBIST0pGxS4EVBWkJE+fyDs/yoVs5DKx+vZsu+aduDsl21dsAKRGP2WCnnzsOOTmYtyi6nrjFYd5J3cElZyEfSVTdzOxtMLaxQ2A2Afln1HROIIAzV6HCYfF+0s7wr9fgQ5Ne3VN21fFKvW1//Tv30tmYoL7yhXkZmby4MOZVdosXRAE7N97F7mNDRGffqpVIRaAeZ3mAbDj3g4uRFbtltiKwqSZI7av1yMnNp3wL0+Xy0uvQYMGtGzZkn///Zdr164B4FbbmibdPQDYu/hquVtDARqaG/OyrTnfBIQTnFbxbfZtXdvy3+D/6FutL1+f+Zox+8bwIPlBhR3f2NyCEd/OxcTKhvUfzSAuQkvHVhpChw9h6mmwqwV/DBe9XUvRwtnSx4alo0RxuW5zj3I2UEMKoSXAyMgFIyNPoqIPVtgxJUpPEw9rctVwJTRe16FUSqQkT294/OUmJ7vQSt6mW5tKtrv7pwAB3JrlP/XgvfcAMHAtgfVCFUVmqMDiZU/SLkeREZRQovd4NmgMwMp3JmsztPLhUBsm/At1BsDRH+EL68cm6vtnlnpIvjIjyAQcvMx1HUahKJ2ccP7+O5KPHCFq/nxdh6NVFNbWuC9fRk5CAqHT3tLqsSxUFmzpI7aGjt0/VqvHepEwrGaJ1SviwknkLxfILceKepcuXQDYunUriXlKsy36+9B7WgPCbsdzeJ1/+QMGfqzhhlyA6X66EfcwVhrzWcvPWPHyCoISg+i9rTebbm2qMENwA0MjXv3kawBWTJ+oVQEkrL1hxGYYtFx8vKAZfO9Z4u+cbnUcufhJV+q5WDB06SmWHSu5CnZ58fCYSGzscdLTKy4Jlygdrlaijdi9hxUralRVkJI8fUEg/6QoJweZoCpws9o2tQFY33N90fu7fxoc6oChxePnFAqMmzUr/D0vCMZNHFC6mBK/K6BEK8cdx0zIv//zkN7aDK18KI2gfwGzg6cXiiussy3g5oshuONa0wqAmyf088vbrEMH7Ka/RcySpflzslUVw1q1MGnfjpSTJ8mO1e5KfU3rmoyrOw6AFddXaPVYLxLGDeyxnVCPnOQsIn++QG4ZZ+jkcjkTJ04E4Pfff8+/mPeoY0PL/j74nQzn9rnyi4bYq5R85uPM6YQUjsZqzqqhtDRzbMb2fttp7dyaL09/yah9o7gbd7dCjm3p4MiA/30GgsC+hXO1ezBBgHqvwP+CxMdpcbBhMMSXLMm2NjFg/evNGd/Gi6/2+DHzr2ukl0Agrbw42PdEJlMSHr5V68eSKBuWxmJXW0icpDlQFqQkT08QAOFRuyY5yPLaNZ8dyYtIicDG0Ib6dvUpkkcm6HlkRT6E7GysRgzXXNCVFEEmYNnXh6ywZFIvRJboPW2GPha5CfXX47k3mUxU3/wsXvzv/WfktDeNelzhm20heilWQWq1dALg8FrNVAa0gc2ECRg1akTYjHfJiizZ32Flxfnbb0EuJ7oCKpfvNH6Herb1mHthLhEpkvS2pjD0scR2bB1ykjKJ+Ok8uellq+g5OzvTv39/kpKSOHz48axzo27uVG9qz8HlN7l3sfw+aq+72gEw+Mo9rVsqFIWNkQ2/df6NNT3WkJCRwKu7XmXO+TkVogTr3bgZLQYOwe/YYY7/sUbrx8PISvz+6TtftHBa3BYOfFQibz2FXMZHvWrzw6D6bLsUxsCFJ3kQr93fkUJhhp1dd8LDNegvKKFRBEGgdTUbbkfqbrGmMiMlefqCAI8yOjHJe7pdMyEjgWmHpnHwfgn6x1NiIPr2U6IraRfEaoFxk4LN1V80VB7mGDW0I+FAUIkuVpoPGMz4ecsASEuqBIbWgiD+Z2IjfunOToCBy57f7is7USWtimHpYEytFo4AnPyrYlbOS4sgl+P8/ffkZmQQPHwEOclVV+VNYW2N9cgRxG3aTG6GduekBEHgq9ZfAdB1S9cKa/16EVB5WWA3oR65SZk8mH2K3DLaHzRs2JBmzZpx9OhRAgLEhShBEOgyrjY+je3Zv/Q6d86Vb+FDJgjM8hYXezZFVNysV2E0sm/Elr5b6FetHytvrGTAjgEVYqLe6tURmFpZc2bbJhKjKsiEvPEoeOMU1B8MF1aJwiyXN5SohXNwMze2vtGKhLQs+s4/waX72pXPd3ToS1r6fRITr2r1OBJlx8XSiFP3YnQdRqVESvL0CEENgjoXGWrkTyR5N2Nu0uaPNvwX+h934u4Qk17MH3vIGfH2iSQv9fwFDDw8UNjZaSv8SodFDy/UGTkk/luyJMfMRvRh2/nT1/gdO1z5Lh7rv/o44ZudAOau4vO/1BXNbasYHUfVAkRz9FwdeDGVBANXF1znzSM7KorbTZsS0LefrkPSGmYvd4fsbNKvav9iytvSm/7V+gMw79I8rR/vRULlbYl5d08AoldcL7NYSvfu3XF0dGT79u1k5onyyOQyur0uKhr/vfwGZ3eXTCCrMKa52+OsUvK2f4henK9VchWzW81mR78d2Bvb89qB15h9cjaJmdpbOBQEgWFf/YShiSl/fPY/MlIrSMXSxAZ6/ghTz4BrU9j+BqzqDYnhxb61rosF26e2xt3aiCFLT7P9Usltj0qLtXVbDFXOhIau09oxJMqHr5M5Gdm5JKZLVgqlRUry9AC1Wi1aKADyvC+iR5W8HHUOQ3YPeWr7dq7tit5hyGkwcwYLt/ynUi9cwKipVMV7EoWFCrMObiSfCCMrqvgvPrnisd/g3vk/c3LzBm2Gp31m3IBaeTOGW8dDwBHdxqNhZHIZtds6A/D7jGM6jqZwTJq/hPfOHQBk3L6NXy1fvbgg1TSGvrUw8PTkwayPyAzRfvX481afA7Ds2jLOR1TtuceKxryDG1av1CAzKJGYdX5lmtGTy+UMGjSIxMRE9u3bl/+8TCYw9vvWAJzbHUiIX9mrcIIgMNXdHoB/dTib9yzelt6s6r6K95q+x4GgA7Te2JqZx2Zq7XjmtvYMnPU5STFRzB83mNyKVF9+5K03ahvE3IFFLeF68e2RdmYqNk5sQe/6Trz952V+2O9PrgbUV59FJlPg5PQK4RFbycmpeDVWieJpW130jb58P163gVRCpCRPD3hSQVOWd/J9VMlLynz+i6mFU4vnnnuK+6fBvbnYrgdkx8aScesWxk2aaijiqoNZOxfkZgYk7CnZivH0ddto1ncQAP7H/9NiZBXE0PVQV/x5WNNXnNOLvKnbmDRIxxFiNS87I4fg6/rb7mHg6Uktv8e/d3/f2mTH6G+8ZUFQKHBfvgxycwkeNVrrIiwyQZYvUDXuwDhi0qrW71PXmDR1wHpYTTLuxvFw/qUytW7a2dlRs2ZNLl26xMWLFx/v20LF63PbYe9hxs5fL5frs/uaiy2OBkoW3a+gVsUSIhNkjKkzhm39tgGwO2A30w5N09rfqVO1mjTq0QeAJZPHaOUYReLTSfTW8+4AW8blzYQXnVSpFHJ+frUBH/aoxeIj95iw5jzJWvBLs7ERF87vhxQw0iChc7xtTTE3VHA5JF7XoVQ6pCRPT3hkay7LkzqWyUR1zYSM52X+bQxtCt9RVjo8uATuj73wYpaL0saGtWpqJtgqhKCUY9HLi3T/WNJvFX/RqVAqaTdiHJaOTqQmlsyCQe95ZQUM+/Px40UtxS/gP0aI1b1KXlV6VBXYPf8K92/q74W+IAj4+vth/+H/ALjTuk2FVLwqEqWLCy7zfiU3OZmwGe9qvWJZ364+f/T6A4Ax+8dUyQqpLjFuYI/NqNpkR6Xx4NOTZWrdHDx4MAA7d+4kLu7x/JXKSEH/GY1x8DJn35JrRAaWraVREARm+ThxPD6ZnQ/jy7QPbeJo4sjV0Vf5uf3PXIq6RJ/tfdh1b5dWTNQ7jZ1Ew5d7kZoQz51zpzS+/2IxtoZXVkLT8eLj+c3gxvYi3yIIApPb+7B8bDNOBcTw6uJThMRqtuXU3LwhAMlJfhrdr4RmkMkEGrlbcS5I97O1lQ0pydMX8qQ1FepHSZ7YGhifEf/cpg4mDoXv5/4pyMl8SllTnZ6B3NISw9q1NRdvFcKori0GXhbE7w5AXcLZrZysbDLTKmi2oSKo2V2c05vwWO0O/91ide9zS8isvD+riYWKlgN8ANg17woJUfotxWwzdiyeW7aATEZAn74kHzuu65A0ilGdOjj/8AOpp09zt30HchK0u1hSx7YOczrMITgxmOF7JHVhTWNY3QqzTuJoQMzqG+Smla7SIpfLmTp1KgAbN24kK+vx3I1SJaf/jEbYuZmya/5lYh+UTZzoVQfRUmXijSC9TPQFQaCbZzd29t9JS6eWfHT8I4buHsqduDsaP1ancZPxbNCYf35fQEq8dkVNCkQQoPccGP8PxAfD5jGwazokRxX5to417dk2pTWJaVn0mneM43eiNRiSQLVqM3kYtY+sLB38TiSKpaGbJdfDqsjCegUiJXl6hkz9qF1TrOTFp8c/t42D8TNJ3vmVEHNPrLis7Z+3Ud38l+PWr0dmrr/m0LpGEAQs+3iTHZ1G8qnih8IBXGqJCbNWTWZ1gUtjMdl76zJ0++rx87um6ywkTdD4ZQ/6vdMIgHWf6GAFu5QY1a1D9aNHMPDwIGTCBOI2b9Z1SBrFrFNH7GbMIPvhQ4JHa791rKtHV6wNrbkec52ghCCtH+9Fw6KbJ7bj6pB+K44Hn5deddPOzo4xY8bw8OFDtm3b9tRrCqWcnlPqozJS8PfyG2SXoS1UEAQ+8RHnc/dH6++ForWhNT93+JkVL68gLTuNwbsHs+zaMo1W9QRBoOvEaeRkZbF40qiKnc97ErdmMDMMOsyEG9vgt8ZwagEU8Z1a09GMvdPbUt/VkjErz7L8eKDGknZ7u24AREf/p5H9SWgWbzsT4lKziE+tmrZP2kJK8vQBNfn9mvL8dk1xJq+gSp6LqcvjBxnJsPtt8QR5dunj5+UKALKjxNUx0zatNR11lcLA2RSTlxxJ/CeYnOTiTyKPqngPgwKK2bKSYu0FraaJCZ99HVHMp5LzyCAd4OLfwTqMpGQobG3x2vYXZj26E/HJpyT9e7j4N1UibCdOwLRjRzJu3SJm5SqtH29zHzFRHrNfB/NILwCGNa2x6OUFQNTv11Bnly4x8fLywtzcnJs3bxIc/PTn08jUgJ5T6pMQncbexdfK1Bb6hpsd9UyNeO9WKBl6vjjX1LEpW/tuZVydccy/NJ/xB8YTmhSqsf2b29rRdvhYANbPnKGx/ZYalSl0+BCmXYJ6r4qeemv6QuKDQt9iYaRk1bhmjG/jxZe7b/Lu5itkZJc/UTUycsfMrC5+/rPKvS8JzeNtawrAzfBKYGGlR0hJnp4hIwcBBTJBDhSc5AnZ6Y9NrK/+8fiF5LzB8rF78p9Ku3YNAJvXX9dKvFUJ826egEDiweITgJffeBuAdTPf1t1KaEXR4UOIvw93D+k6knIz+ptWAJz66x6pifq/IijIZDh/8w0mrVsTOmUK0Ut/R51Tdf7eXBfMx3rMGB5+/z0pZ89q9Vj2xvZ0du9MbHosK6+v1OqxXlTM2rpiM6Y2WWHJRMy9UOL290dMmzYNBwcHNm/eTMYzfoo2zqZ0HVebkJuxrPzwRKljkwkCP9VyIyE7m0/uaE+SX1MYyA14q/FbzOs0jwfJDxiwYwB/+P+hscpVg649AHgYdI+EhxEa2WeZMbERWzjH7ISYu7CoFfjvKXRzhVzGrJ6+/Dq0IbuvhjN06WniUsp/PrexbodanUly8q1y70tCs7hbGwNotE33RUBK8vSEPCFMFOpcBMEg//lnk7wFnRfA146iiTXA6UWPXzz2k3jr2Sb/qbSrV5Hb2aJwctJG2FUKuYkS867upJyNIPNBcpHbGptb5N8/8cdabYemW3w6irfrBlZ65U0za0P6TGsAwMoPjuutf96TyIyMcFu8CIsBA4iaMwf/OnVJv3Vb12FpBEEmw/5/H2BYty4Pf/xJ6/NSP7UXz5FzLswhM0f/k/zKiJGvDZb9fciJSSdy3qVSVd2USiVDhgwhOTmZb7/99rnXvRvaUb2ZA2mJmdw+W/rEpIGZMZPc7FnzIIaYTM2rNGqDdq7t2Np3K00cm/D1ma954583iEjRTFI2ZflGDIyM+XflEo3sr9x4tYM3ToJ7K/hjOOx5t8h58H4NXdg4oQVB0Sn0X3iCuw+L/t4uDg+PyQiCgqjof8q1HwnNY2Es6lQ8TJJsLkqDlOTpGfLcnKeSvIPBB/PvL+u27HmPvJi7Re4v/eo1jOrVR3iURUoUiWkLJxR2RsTvulfsBeebKzcBcHbHFoKuXqqI8HSDygwc64n3F7WEg5/pNp5y4l7HhnrtxZbnRVP/IzpUf/yzCkNQKnH+9hucf/wBgMB+/Ug8eLCYd1UOBJkMu+lvkX7tGmmXLmv1WAqZgt86/QbA6hurtXqsFxnTl5yw7OdDdmQq0Suuk5NSchNja2trfH19AZ5r2wTo+lptnKtbcnDFzTJZK4xyFtWpf7sfWer36gpTA1MWd1nMvI7zuBN/h37b+7HBb0O5Z/WMTM1oP2o8ARfPcWjFYg1FW06MrUVrn54/waX1sKStqDlQCE08rNj5ZhvkMoGBC09w+FbZrTIUChMMDZ0JClpQ5n1IaA83ayOCY8omvvSiIiV5eoZMnYMgKJ5LylxMXWjs0BiebA0M+O/5HUx6bPqcm5FBysmTj8uEEsUiyGVY9vYhMzCRtGtFtwWojI3xaSp6Fm79+hNiH2huZkLvmHwc2uTNbpz4BZa/rNNwykubITXwbiRWw//86hwBl4tWdtMXLPr0wWf/PlS1ahE27S3CPvhAL9UCS4tJq1YoXVwIHj6c3FTtKrl2cOuAi6mL1LKpZUxbOmMztg4ZQQlELbqCOqvkbcavvvoqrq6urF+/noRn1FcFQaDHZHHRaf/Sa4TfjS9VXJ5GKjpam7E4JIr4rMpRzXtER/eObO+3nY7uHfn27Le8/vfrhCWXr/W0Xqdu1G7XicsHdnP/+hUNRVpOBAFemgCTjgICLGkPt/8udHM3a2O2vdGal7ysGbfyHAMXnijzedHL801yczOIjdN/ga4XDRdLI5LSK9dnVtdISZ4eoIZ84RUZuWKSx9OJ2f5B+1HKlHDpidbANf2e35lT/fy7GbdF+WWzLl00HHHVxrCGFYa+1iTsDSxWJa7/+x/T8pVhAOz48asit630dPkM3sqrWIacFn30KikymUCPSfXoPEasGOxbfI0Fk/8lpxK0bxp4euK5SfQ1TNy5C3/f2mTcK3yluzIgyOW4zJ0DwIMPZ2p97nBi/YkkZSWx5sYarR7nRceoljX2UxqSHZ1G2Ccl99GTyWQMHToUgGXLlj03n2doouS1H9tgbG7AnoVXiY8s3cLAzzVFy4c1D/TXN7MwzAzM+K7tdyzpuoTQpFD6be/H/sD9Zd6fIAh0nfAmtu6e7P71B/3yf7WrARMOgXd72DgEjvzw9EL3E1gYK1k6qilmhgou3o/n4+3XyS7D+dzRsT8GBrYEBv5W3uglNEwXXwf8I5LIqgTf0/qClOTpCUKeT57Yrvl8kpePkXXhO1GaPPUwev58AMx79tBIjC8Slr28yUnKJPlo8dW5Vq+KyU6VruQ9wtobPsmrcPrvFk3TQ8/rNqZyUKulE4M/apb/ePHU/9i76KoOIyoZMgMDfP39sBo5EoCAXr2J/v13HUdVPozq18flt3kk/f03t5o01WqFckC1AViqLPnx/I+kZ6dr7TgSonKxRU9RdTN61Y0Sq26ampoyYsQIkpKSWLv2+blnIzMDBr7fBGMLFX/9dIGo+yVvu3Y2NKCTtRnfBIQTmVHyVlJ9opVzK7b3204dmzq8f/R9pv07jbj0snm8KQwMGPC/z8hISWbRhBH61R1gaAGvroY278Dhb2DtAEgs2OpIJhO4NvtlvhlQj41n7zN25TkS00v37ysIcmxtuxAff4acnMrrD1sVcbY0AsBPUtgsMVKSpwc8mc7J1TnIBPlT7Zobe218vEFKXluZhdvzO5r431MPk48cAUCmUmko0hcHha0Rpm1cSDoSSnZ8yQd9l0+fULVM0gtCroSPo0BhBIIclnWGn2rqOqoyY+dmxtTFnajVwhGAwCvRrJ55gtwyyLRXNI4ff0SN8+cw79OHqJ/n4FfLl9w0/TZ7Lwrzrl2xf/891OnpRH71tdaOIwgCX7b+EoBx+8dp7TgSImbtXLEeVpOM23FEr7xe4oqeh4cHbdu2JTQ0lFu3nlc8NLFQMfDdxphZG7L5u/MkxZY8YZ/lLYqRrauE1bxHGCuNWdV9FV+0+oILkRcYsXcE16Ovl2lf5rZ2NHy5NwCHVy0tZusKRq6Azp/C6O0QdStPfXNvoZsPb+7OnMENuRwSz+DFpwiNK913squLuHgWG3uyPFFLaJimHqIN0iG/ss9dvmhISZ6eIScXQVA+VckzMzB7vEFS3gpWQoh4W6v349fsauTfzbgrCrJIJuhlx7yjG4JKTsK+wGK37TFVnFeLjwjn35V69gWpDRQG8HEEvHlOfJwcAb811W1M5aTz2NpMnNcegOS4DBZNqRy+dHJTU1x+/AHBQBRsCnv7nUpts2Azfjw2kycRt349qee1VyXu4NYBgOsxZbsoligdxg3ssezrQ8a9BOJ3lby9uFOnTri6unLgwAGys5+fxzE0VdJnWkMMDOXsX3q9xGbpdc2MGexoxfrwGFI04LOmKwRBYED1AfzZ+0/MDMwYsXcEv1/9vUyiLB3HTADg0v5dPLjtp+lQy493B1F90+0l+GMYbB4LqbEFbtq/kQtb3mhJSmY2/Rec5FxQwdsVhKlpLUxMqhP2YGPxG0tUGHZmYsEiW899LvUJKcnTFx7N5OXmIMjkT73kbub++MGzbQqebQvcXdR8UR3KffkyjYX4oiEzVGDR3Yu0K1FkBBU9p1C7XSe8m7wEwI0j/5CR+oIoQNn4wHt5Cq8xd2BT5TaaVhrImfxbh/zHh9bo4YVOIdS6egXXRQtJPnaMhz/8qOtwyoXdtGko7OwI/2y2Vo/zyFLhVqzki1URmLZyxqy9Kymnwkk5XzJ1S0EQ6NmzJ7GxsXz1VcFzz4amSvq81ZCo4ER2zrtc4nbDtzwciMzMYt79yl8ZcDNzY33P9YytM5Z5l+Yx8e+J3Isv/azuI9Xobd99TlamHsrVm9jAsD9g4O9w7zDMbwr3zxS4aS1Hc7ZNaY23rQmDl5zir4slG6kQBAE31zHExBwhNbX4RV6JikEQBNrVsJMqeaVASvL0DHmeuuaTPZxPKW3eeUJhSqYQFahGbn0siJGHwtoKhaMjRvXqaTniqo1xY3uUrqbE77xXbIvRgA8+pW7HbgAcXlW556NKhakdzPAX79/cDiHaNbXWNnKljCkLRW9A/5PhLJj8r44jKjlmHTvi8L8PiF29msT9ZRdj0DWCXI5F/35kBgWRHaU95dMObh1QCAp+uySJLFQU5i97oqphRdy2O2QElkzkw9nZOf9+VCF/Dw6e5vR4oz7hdxO49Pf9Eu23mrEh3Wws+DU4klPx5fNY0wcUMgXvNHmH5d2WE54Szqi9ozgRVjrjeJWxMWN+nE96SjL7fvtZv+bzHiEIUH8wvHkebKrByh5wfC4UUOGxNVWx7vXmDG3mxoxNV3j7j0tklKBy6+jYH4XCjLv3ftLGTyBRRoyUMhLSKuccrS6Qkjw9QK0mP6mTq3OQyZSFb5zyxAqGuTPI5FCtiyiI8QTpN25i3KwZEuVDkAlY9vEh60EKqReKX3nuNvFNQKzmvVCYO8GEvPbG5V0hqnKbdQsygQHvNs5//PeyytPSZzV6NOY9exL29jsk7Nqt63DKjM348chMTQnoP0Brx1DJVWSrszkSeoTUrCo+S6snCDIBmxG1UDqaEL3qBtnxJZujmzVrFgALFiwgp5B2ZK/6tjTo7Mapbfe4d7Fkq/1za4nz7QMuFe05W5l4yeklNvTaQAP7Bkz+ZzI/n/+ZjJySV+Vs3T3pMXUGd86e5Mi6FVqMtJyY2sHYvdD6LfhnNnxhBSnPWx8ZKGR8M6AeH/aoxd7rEYxafrZYQRa53Ag72y7Exh4lNzdTSz+ARGlp4GZJsmSjUGKkJE9PeFSre2ShkJFdwAk5J++kZOkh3hYkvgKos7JIu3IFlY93ga9LlA6VhznGjexJOBBEbjEnF0H2+CP1wrRsPsKlMdQZKN5f0Ax2z9BtPOXEubol438W26HvnH9Y4uqArhEEAadvvsa0UycevP8+Dz6cqeuQyoTc0hLjhg3JiYkhcf8BrR3nkbDViut6fDFbxZCpFNiM9EWQCzxccJms6OLFggwMDOjZsycAu3cXvnjR+pVqeDWw5Z9VN4kNL/4cbKlUMNlN9MzcHFHyuS19x0JlwYLOC3iv6XusubmGQTsHcfnh5RK/v3a7TrQaPIILu7dxftdf2gu0vMgV0GU2dPxYfDyvMdzY/txmgiAwub0PG15vzt2HyfT45RiB0UX/fbi6jSEnJ5XY2NJVQyW0h62piqSMbNJL4bv5IiMleXqGWMlTcOnhpedfTM1TATO1F29VZs9vA9ztJhpVZ4WVzyRV4jEW3T1RZ+SQeKj4C/12I0S1vq1ff6rtsPSPV1fCSxPF++eXixYLGSWXNtc3DE2UTPxVFGM5+dddYsIqR0uXzNAQ1/liC2LC9u2kXas8lcgncV20EEGlIm7dOq0do65tXWyNbNngt4HkzMrx71sVUFgZYjexPoJM4OH8yyUyS3/ppZdo0qQJV65c4cGDBwVuIwgCXV+rg5m1IfsWXyOrBEIsn/k4422kYvbdB+TqY3tiGZEJMsbUGcNfff9CKVMybv84FlxeQE4hXnPP0mLgULybvMSRdSu4/p+ed6e0fx/euQkerWDzGNg2GdLin9usqac1W99ohZmhgn7zj3MhuHDbCTPTOpiZ1uF+iLQApC/YmooCY3cipXN1SZCSPH0hzydPhtiuWcOqxvPbPGpDUOUpZt4ueOYmO1wUZ3H4+GONh/miIrdQYdbRjeQTD8iKKrqtq2kfsZplZGFREaHpHz1/hNkJULOX+PhbV5hbD65tgcibuo2tDChVckZ+2QKAP748y8EVN3QcUckQZDJqXrmMUYMG3B83juRjx3QdUqkRZDIcPv6I1PPnSTzwd/FvKCPLuy0nKSuJlhtbau0YEs+jdDTBeoQv6vRsIn8tYGGzAHr06EFubi5Lly4tdF5MqZLTdXwd4iNTObKheFEdQRD42MeJmKxsVoQ93+5X2fGx9GFTn02MrzeeJVeWMO7AOO4nFr9gKQgCfd4ROwEOLPoFtb6rGlq4wLCN0G+BaLGwqDWEX3luMy9bE/6c2JIaDmYMWnSSz3cVfE4XBAF7+x7ExZ0kJSVA29FLlIBGbqKNwr0oKckrCVKSpweon1BZkatzEGQKWjoXcLGRmvflo85bhWv1VpH7lfzxNItZWxfkFgYk7ClabeuRUE7AhcotQFJuhm2ANnktmwn3Yet4WNQybwi1cmFhZ0yvKfUBuH02kiv/hug4opIhU6lwW/Y7cmtrQiZMJOy991EXIEOvz1j06oXCwYGw6dO1ZqngbelNRzdRbOdIyBGtHEOiYFTu5pi2ciY7Oo3kUwVX555EoVDQp08fAJYsWVLodnZuZrR5tTq3Tkfgd7Jg8+wn6WlnSUdrMz6+E0ZWJfDILC1KmZI3G73J8peXE5YcRu9tvdkbULjX3CMUSiVDP/8BgHWz3tF2mOVHEKDRSJh8FHKzYUk72DT6uc0sjJWse705ACtPBPHboTsFLhq4uAwFICpKey3jEiXH0liJTIBL9wuvwEo8Rkry9IVHFgrqXGSCAoVMAYCjiePjbcKvireP/G8aDKvAACUEpRzLXt6k+8eSdqvqzG5olS6fiVW9Gt0fP/e5pc7CKQ+e9W3zffSOb7pDZGCijiMqGXIzM3x278Jq+DASd+/Gv249MkMrTyu3zNgY95Viu1TwyFGkXryoleP81P4nrA2tWXRlkX4qClZhLPv6YNLMkfgd94j4ufhEvkmTJshkMiIiIggKCip0u/qdXKnZ3JF/1/gR4lf8OXuquzgKsSik6kq0N3NsxpY+W2ju1Jz/HfsfE/6eUKwoi0ut2hhbWPIw8B4Bl85VUKTlxMoTpl8W79/cATumQvbTAiqGSjkB3/Tk7S7VmfvPbaZuuEhKxtOLYEqlFTY2HQiP2FoxcUsUiSAIWBkbkJGt51VlPUFK8vSER7U8uToX4Ql1TQ8zj8cbHfxEvH0kymL2RAKYR2U2Qa4MGNaxQeVtQcLuANRFnGTqdxaTmuj7QRUUmZ4z/E/49ImVtwUtdBdLOVAayOn2eh0Atnx/njsl9PrSNYKBAY6ffopFv74A3OvShdh163UcVclReXvjvWsnhvXqEfL6BNKua75l1kBuwFetv+JGzA2uRD3f4iWhXSwHVgMgOyqNyF+LT+Q/+OADAI4cOVJoUi4IAh1H1cLQVMnOXy9z90LRyVsbKzNcVErWP4ip0om+laEVS7supZ1rO86En2HgjoEEJBTdjjhhwUpA9M+rNKJiSiNxkbHfAri0Dlb3hpinvQNlMoG3u9Tgt2GNOXo7mlcWnyIy8WnFV1eXkaSmBhIX94J35+gJTT2tuBleORZZdY2U5OkLeVmegmwEQTRDn99pPj93+Pn5bc3zPIOMrJ57KelvcW5F4fh8AihRfgRBwKKPT15rUeEtQEbm4jze6vffJDlOqvoBIJPBR3lJUZQfXFyj23jKSPWmDvSf0QiAv5fd4PrRylMVc/7+e9xXLAcg8quvCP/880pzMauqXh2PVSsx8PLiwfvvo87SvFdSa5fWeJh7sN6v8iTAVQVBEHD5tg3IBLLCU0i7GVPk9oaGhgwZMoTAwEBOnTpV6HZyhYyhH78EwIHfr5OeUvTfzf+8nQhOz+SHwIjS/xCVCEEQWNB5Aat7rAZgyK4h7AnYU+j2CqWS138Tzx1rP5xeITFqjEYjYcRWSAiFpR3hyh/Peer1qu/E5sktiUvJZMiSUwTHPE5kra1FlWX/W59UaNgSBWNhpORWROUVdKtIpCRPzxAtFMQkr71beyxUBYh39P0NJv4n9p4/Q9g74gyU3ZtTtRnmC42BkwkmzZ1I/CeYnOSC/XPaDB2Fma0oy310/cqKDE+/URrCzDAwtoGd0yC+ctgSPItLDSte+V9TAI5suFVpKnoAJq1aUfPSRWRmZsRv/IOAPn1QZ1YOHyiZiQlO33xNZmAgD3/SvEmxTJAxrNYw/gn+h8iUyvNvWlUQBAGXr1pjWMeGmDU3Sfyv6NlXX19fAP7+++8i2zZNLFUM+qAJSkM5B36/XuTCxmBHawDmBkdWmgWQ8tDIvhGb+2ymo3tHPjz2IY3WNirUM9LC3gFX37okREYQHRJcwZGWk+pd4I2T4NUWtk0SPfWeUX72dTJn06SW5Kqhz2/HORsoLtDKZAosLBqTmnr3hfib0HeaeFiRkZ1Lamblmi/XBVKSp2fI1LkIQgFm6BlPKAmpzMC5UYHvN24uDhJb9OunjfAk8jDv6gEygcS/C/+im5jX3uJ37DA/D+nN8T8qZ+VK46hMYfxB8f4v9R63H1cyHLzMGfdDG0Cs6FWmL3+ZkRE1z53FqEEDMu/ew79+A5L+PazrsEqEYc2amHbqROzqNaTd0HzbZj+ffhjIDdh0e5PG9y1RPIJMwHpITQAS9weRcrHoZPu9994DYNWqVUV+Bh29LWg9qBqh/nGc3Fq08flYF1tATPReBIyVxvzQ7gd6ePUgOzebQTsHEZFScCXzlY+/xNLRif0Lf6lU5zwAjCxh6Hro+oX4eF4juP60B6C7jTFbJrfE3caYYb+fZv0Z8Tve01NcOI+JqRznyaqMvZkhAKFxxftrvuhISZ6eIDxhofCokvcUj5Q1Gz+vEvUkcgsLjFu2QFAWkChKaAy5iRKLLu6knIsgswjvtI5jJ+bfP7NtEzeOHKqI8PQfGx94NHu6dqBuYykHxuYGNH7ZHYD7NytfW67nn3/gvmoVAKFTphC/fbtO4ykpLj/9CMDD738gN0Wz80GmBqb0q9aPLbe3kJlTOSqcVQ2ZgRznz1qidDUlbtNtUq9EFbqtqakpAweK55CjR48Wud86bV2o18GVy/+EsH1u4XN/31Z3AajyLZvP8kO7H1jXcx2x6bF03dKVRZcXPbeNXKGk82tvEBlwhysH9+kgSg3QejpMvwIpUbBlHJz9/SnVZ3tzQ7ZNac3I5u58tO063+7zw8qyHSqVIxERO3QYuASAh40xANFJlXOBuCKRkjw9Q6HOQVZQJW+DKONLswlFvj/j3j1UPtW0EJnEs5i0cEZhb0z8rnuFrmg27tGX4V//TI833wVg/8K5FRmifvNpNDg1hODjcHOnrqMpMy/19gbgwr4g3QZSRkxaNKfmlcuY9+5N+Icz8avlS06ifg+1y4yNcVu6hPTr1wkaPoKsMM3ORQ6rNYzY9FgOBEmy6bpCZqTAfkpDDDzNidtym7QbhfvX1a9fn5YtW3L06FHCw4u2S2gzuDoAYbfiiQopeK5HEATe9nAAYE9UfNl+gEpKA7sG7BqwC4CFVxay8PJCctVPz695NmhMrdbt+W/1UkJuXtNFmOXHyhNmhUOt3rD3PdE8PT0h/2WlXMbn/eoysZ03S48GMGXDRRwcBxMVfZCsLEm+X5c4WRgB8PfNF6PSXh6kJE9feGShIBRSyYvyE29N7ArdhTozk8zgYFQ+3loIUOJZBLmAZW9vMoMSSbta+AWIU7Wa1G7bMf9xTGjlnEPTCmN3i7ebRsFDP93GUkbkShnO1S0Jv5tA2K3K+eUvU6nyq2MAt19qTvqt4k2kdYlpu3Z4bNxIbnIy93r2Iu3adY3t28vCi1bOrVjvt77ytaRVIQSZgO24Oqh8LIlZ60dWROFV244dO2JiYsLSpUvJLsILUiYTmPhre4wtDNg+5xLJcQVXAz7wEsXLxl8PKtfPUBmxN7bn/MjzvOz5MouuLKLBmgaEJz+dPHebNI2c7Gw2fT6TrIz0Qvak5xgYi+2bA5aC/25Y1gWin27lndXTl0UjmnDYP4qvDtdErc4lJEQavdAlRgZyLIyUJKRpXnyrqiEleXqGXJ37fJL35EWGuVOh7828fx+yszHw8dFSdBLPYljdCsPaNiTsDSQ3s2j7ipHf/QrAyc0bKiK0yoHKDCYdE+8vbFEpjdIBOo6sBcD2uZdIK0SMpzLg6++Hx4YNKF1dCezXn/ht23UdUpEY1qyBx4b1oFYT8fnnqHM15500wncEN2JucDX6qsb2KVF6ZCoF1sPEz1fkLxfJji84KTMwMGDw4MGo1WqOHCna0F6pkjPg3cbkZueye8EVsgs4d8sEgbfyfPM2R1S+VuzyopKr+Kn9T3zT5hsA+u3ox9HQx+2wSpUhPd96H4Bdc7/TSYwao8EQmHQUcnNgaQfwf1pltHtdRzZMaM7FUIGgJF8Cg+ahVks+bbqkbXVbwuKlmbzikJI8feFRJY+nffIAKETp6lky7or+L6pqUrtmRWLZy4uc5EySj4YWuZ2Dl5h83z59nDtnTlZEaJUDp/rQM08psZIapVs6GNNjcj0AVrx3XMfRlA/jxo3w2rIZ4xYtCJ85k1vN9dvTUOnggPvyZaRfv070/Pka228blza4mbnx4dEPC1UblKgYZCo51kNFMZaI786Sm1Zwpc7V1ZUGDRpw7Ngx4uPji9ynpb0xAz9oQkJkKnsWXiU39/kFppne4qLqNL8Xt/uij08f/hv8H40dGjP10FQWXVmUX932bd2e1kNGEXjpPH989j8dR1pObHxg4mFwbwF/DIcDHz1lnt7U05p145tzNUr8Hr8TKnnm6RJ3a+N89VOJwpGSPD3hsRl6Ae2aqXl/yCO3FrmP8E8/BUBhba3h6CSKQmFjhFlbF5KOhJIdX3TbSpuhonDOrVPHKiK0ysNLE0CuEu+HXtBtLGXEu6EdKmMFIFb0KjNyS0s8Vq1EVbMmuQkJ3O3chcyQouXsdYlxs2Yo3d2JXriIyB9/LP4NJUAmyPi81eeEJofy+t+va2SfEmXHuKE9VoPEebroFddRZxdcSenWrRsAO3cWP+dr52ZG26E1CPWPY9GU51UTBUHgqzwRlmOxL64vl42RDYs6L2Ji/YksubKEd/57h/Rs8buu+YDBAIT53yAxumizeb3H0AJGbIaXvxHFWNYOgPTH88kN3CyZ2usjAA6e+YYLwZWzPb8qYG1iAEBSutSyWRRSkqdniOqaiqefTMtL8oyKTt40rTInUXLMOrohGMpJ2BtY5HaPvhAjA4qW8H4h+UCsRLOs01MrqJWJ8T+Lprlht+KIfVD5P49e27dhN2MGWWFh3OvajczQoqvVusR7myiFHrt8BSknNVMpb+bYjAHVBnAt+hqbbkmWCrrGpJkjdhPrkRWRIiZ6Oc8neiYmJnTr1o2AgAD8/f2L3Wft1s759wvyuxyXZ6fw6pV75Yi88iMIAtMaTWNuh7mcfHCSYXuGEZAQgCAITFm+EYCNn7xf+WdYBQFaToURmyDyGqzuLZqo51Hd0QqAWtY3GLToJMOWntZVpC80tZ3NAfCXTNGLREry9IW8Up6cXGTPJnnRd8Rb46KTPJW3F1bDh2shOInikKkUWHT3Iu1qNBmBCUVua25nT2pi0du8kKjMRKUzgK8KFxjSZwRBYND/mgCwb0klVZ17AkEQsJ04AY8N4hzpvS5dCXv/Ax1HVTAyExNqnBNbqO6/Np6MO3c0st/ZrWZjqjTly9NfkpYtzYDoGpW3JTZj6pARnEjU0msFVvRatmyJm5sb27ZtK7ZtE2DKwo5Ub2rP38tucO/S09UouSDwZt5sXkh65Vx80iQd3TuytsdaAF7d+Spbb2/FyNSM3m9/SHJsDBd2b9NxhBrCuwO8dgCSo2BxWwh63Ibv4NAHACtVHKcCYlh69MVeANAFNRzMAIhJlmwUikJK8vSFfJ+87OfbNbeOF2+LqOSpc3LIDL6PgZeXtiKUKAbjRvYo3cyI33kPdQHzHY+wdHAiMy2V7EzpguE5hq5/fP/fr3QXRzlw9LIAID4yleysosV4KgvGjRvhsVFM9BJ37SKgbz+9XLGXm5nhuWULAMGjRpN+63a59ykTZPniE5+f+rzc+5MoP4bVLLEbX4/MsCRiNvqjznn6b1EQBPr3709ubi5bt24lK6voli5BJtBptC8A+5dcJyXh6QvHyW72qGQCrU5XTgVgTVPTuiYbe22kmWMzZp+azaLLi6jWvCWWjk4c3bCKmDD9be0uFfa+MPk42NeG1X3gwioAatb4DIA/RwYzub0P3+7z5/NdNwqc65TQDjZ57ZpnpLm8IpGSPD1DnMlTFPyiyqzQ92U9eIA6M1NK8nSIIBOw7ONNVngKKecLN9H1bdMBgIgAzVQaqhz/CxZvj/4IpxfrNpYy0qy3+Dnc+ctl3QaiQYwbNaLm1SsAZNy+jb9vbeI2btRxVM9jVLcO3rt2khMfT2C/fsRuKL+abUf3jlSzrMbRkKNk5Egrx/qAytsC68E1Sb8RQ9hHx59bWLOxsWHYsGGEhITw22+/Fbs/hYGc0d+0QiYT2Pj5GXKeaAW1NVAww8ORLLWaM/HJGv9ZKiOGCkMWdF7AmNpjWHhlIQ3XNqTbJ7NQ5+ayasYberkIVCZMbGD0dmg6HnZNh93voBREM+6QkBX8r3tNvuhbh7Wngnlt9TnSilHZltAMgiDgaWNMQqo0k1cUUpKnJzwSXpGR+3ySV61L3kYChZEZKM6Cqbw8NR+cRIlRuZtj3MiexAPBhSrAeTduBsCtk5L4SoEYWcKHeWp2+/8HOYV7XukrL+UleeH3EgjxqzorjTIDA3z9/bB5XewuiPj8C0LefFPvLuhU1avjs38fglJJ5Bdfknys/Iqn37X9jqSsJN489KYGIpTQBMb17TDr7A5A3Obnq7be3t4YGRmRmJjI3r17i92fmbUhnUbXIiM1m6VvHXnq73qquz3eRipGXA3Q3A9QyZHL5LzX7D3ea/oeAD339MXYV/z3OLOtCs2wypXQ80dRBfrSOljdh2oubwAQHr6VUS09WTKqCWcDY2n7w788TKqkvoGVjCYe1vx3O0rXYeg1UpKnL+RbKBRQyRPkULNnkW/PDAxEUKlQOBXuoydRMVj08ESdlUPioYJlt40tLAG4fGB3BUZVyTC0gDYzxPvrBuo2ljLSa2p9AHb+epnkuKr1pW//3ntUPyWKmyT/cwh/39qkXbmi46iexsDTk+qnTgEQMmFCuT30alrXZEztMZwOP81vl4qvDElUDBZdPbDo7U3qpYdEr7n53Ovvvy96uZ09e5bg4OBi91ezhRONurmTm6Nm4RuPFTcVMoEp7vYk5+RyMk6q5j3JmDpjODxY/F0t9DpGjp0xJ/5cS1zEAx1HpkEEQVSBHrsH4kNw374AAD9/0Tqis68DGya0QKWQM3DhSe5ESoIg2sbW1IDYlEyyCxBgkhCRkjw9Q1aQGfqdA3Cr6FXIyG+/Q52RgSCT/kl1jdxchVlHd5JPPiDrYdH+WlHBRatxvtB0+QwEGQQegbuHdB1NqfGsZ0v74aK31+bvzus4Gs2jsLLC198Ps65ip0HQkKEkF2NCXdHITU1w+upLAB7878Ny72964+kALL26tNz7ktAcpnkKmek3Y4jZ8PTcnEwmY9asWdjY2LBy5UoePixe5r/VwMdesyE3H1fihzlZYyAIzL//vArni46tkS0XR10EYGMjf9RGCvbNn6N3Vf5y4/YSTDqK4FgPWd4saHa2mNA1dLNk0+SWmKoUDFp0kjMBMbqMtMrzSGFTsrIoHCkj0BfyK3lqBNkTlby0UvzxKpXFbyNRIZi1cUFuqSJhT8GtPePmLgFgzQfTKjKsysfMULDzFat5l8s/W1XR1G3ngrGFAakJmWz84oyuw9EKrr/9hleefUHIpMkEDhmiVxd2lq+8gs2E10nctYsHH84sl9+fUq7k/aZiZeizk59pKkSJciIIAi7ftAEg7Wo0Keeenok2MDBg2LBhACxfvrxE+5y8oAMAO+ddJjOv9V4uCPSws+Df2CQeZkizQM+ilCm5NuYa77X6H//WfkD4HX8uHtqj67A0j6kdjNhC87T2AEQcnw555zwXSyM2TW5JHWcLxqw8y8Gb0oKAtmjgaglAckblG+moKKQkTy94PGsnqJ+ZyUvPk9p3alDkHuS2tthOnKiN4CTKgKCUYdnTi/RbcaT5Pz+TZeX02JspMVrqKS8UAxMYm9fWuv0N3cZSRgbPEmcwYx+kEHW/arbwGPr6UuvaVZDLSb9yFX/f2mTH6s8sot2MGdh/+D+Sjx/nXtdu5RKMGV1nNK1dWvPXnb/4L+Q/jcUoUT4EmYDLV60BiNt6h+z4pwVybG1tadu2LZmZmcTEFF9hkctlDJ/dHKVKzv6l1/IXLj71Ec/dfS5KwlmFMcJ3BNMHixX0/35fzJ2Ht3QckRZQGGDcZwXGWBAZ9w9smwQZYhuvuaGSleOa0a66HVPWX+DvG4ULsUmUHUcLQwBCYovumHqRkZI8PUHIt1BQP92umRYv3vb5tdD35iSnkBMdjYGHuxYjlCgthnVsUFWzJGF3wHNeToIgMPSLHwEIvFT1Wvk0ioktuLcU7++YqttYyoCJhYpXZzYFYP/v13UcjfYQlEp8b1zHpH07AO60ak3igb91HJWIIAjYjB2Lz769qHx9ifzhx3IlofM6zsPe2J5VN1ZpLkiJciMoZDh91ByZsYLolddRP2Nh0rp1a8zMzFi9ejXZ2cWv/ls5mtB+eE1C/OK4sE+c53MxNMBZpSQ4PZOELKmCUBgve75Mq3fE8/XOae+yL3CfjiPSAoKAvccI4i2UpN/dBStezvc1NlTKWTCiMV1rO/DmhkvsvFKF5hP1BEOlHAO5jIRCRO4kpCRP75Dl5iATnmi79Nsl3hpaFvqerPvil4+Bh4cWI5MoLYIgYNnbm+yYNJJPPn+Cd6kp+jIdWVuy9qEXmlHbxdtL6yDkrE5DKQv2HuaYWqlIjEojNbFq+yO6L1mCz4H9GLdsQdj06UTNX6DrkPKRm5nhvmI5giAQPnMWOQkJZdqPgdyAkb4juRB5Af9Yfw1HKVEe5GYG2L5ej+zIVMI+OUnuE5L2hoaGDBw4kKSkJA4fPlzEXh5Ts7kjjV9258yuAO5eEOf5djeujlyA2fekC/eiaNmiB7XadwTgt82fMef8HHLVVUskw91dVBq+3q4pZKfD8m4QLAo+KeUyfh3aiN71nXhr4yX6Lzihy1CrJHKZwOUQaSavMKQkT894rpJ37Cfx1siy0Pdk3hdVHJXuUiVP31A6mmDSwonEQ/fJSSr44j4rI50Di+dVcGSVDKWhOJ8HsLwrZFS+tsdur9cFYOUH5Zfz13cMPDxwX7EC2ylTiF6wgPvjXyerBIIXFYHCygrnn38i5dQp7rRtR9r1G2XaTyf3TgD84f+HJsOT0AAGzqZYvVoDgPAvTz/1mqenJz4+Ppw4cYLU1JK1ebXo5wNqOPD7deIjU3E2NGCCqx0bw2MJz6jaizblpcekt3H0qUHnGy5sPreW9468R0pWiq7D0hhKpSU2Nu1Jz4kl97V9ojL0mr5w5U/xdbmMnwc3QCbA5ZB41p0uXuFVouQ4WhiSKalrFoqU5OkLeWN5glpdsBm6yrzQtyb9fRAQL14k9A+Lrh4IcoGEA0HPvTb08x8AuH5YP9ra9BqVGbQX5aqZ11i3sZQBJx8LDE3FKn1kYKKOo9E+giBg99Y0HD/9hJQTJ7jbrj3Jx/VjJdusY0fcVyxHnZlJ0CuvkO5f+mqch7kHHVw7sPXOVhIzq/6/Z2XDpIkDRg3tUGflErfj7lOvde3aFYAffvihRPsSZAIjvxRbxv9ZdZOc7FymutsDMP56kOaCroLI5HL6f/AJRkojxoa34kTYCQbvGsy9+Hu6Dk1jeHu9Q0ZGBDGpl+HNc1C7H2yfDEd/ArUaQRC4901PxrX25OPt11l1QlLV1hSuVkakZEgG9IUhJXl6hvCsGbqDuPqPTF7wG4DEEpi8SugOmbES864epF6IJDP06QqUS63aOoqqktJxlnib8hAOVj51w2GfNgdgy/fniY98MYbFrYYNe6y++frrBA56RS/UN42bNsVj/ToAAvsPIDctrdT7eLORaIz+7n/vajQ2Cc1gPUS0MEk5FU529ON/XwcHBxo2bAjAmTMlU721sDOi39sNiQpOYt+Sa9gqFVgr5VxMTOVeatXywdQ0JpZWdHptMsm3gvnSaBKRqZG8duA1bsVWDUEWM7O6GBv7EBG5WzROH/g7tP8Q/v0SDnyUn+h92rs2E9p6MXvXTX7557ZenAcrOz52ptx4ULa2+xcBKcnTE4S8Sp489xmfPGsv8OlU5HsN69bFvFcvLUYnUV5MXnJCYW9M/K6A507s7Ue+pqOoKinv560An/gFgipX66OxuQEtB/gAsP6z0+Tmvhhf8oa+vtS8Kpqlp9+4QeiUqWRF6r5907hJE2wmTwLgVqPG5GaWrvWupnVN6tvV53T4aa5GXdVGiBLlQBAE7Kc2BCDip/Oon/i89evXD1tbW/bt28e9eyWrKrnWsqbjqFoEX4vh7O5ADjerBcDiEEkhuThqtWpHg649uL5pO6sb/oajiSMj947kRJh+VPfLgyAI2Nt35+HDPaSlhYoXdB3+B50/hdMLYOc0yM1BEARm9fTlnS41+OWfO3y9x09K9DSAgVxKZQpD+s3oGQLPtGv67YJ7/xa6fU5yMunXr6POkcrV+owgF7Ds401mcCJpV5++IFCZmgLw85DepCbE6yC6SoaJLczIa6/7Y4RuYykDjV/2QGUsfsZ3zbus22AqEJmBAb7+fjj/8D0pZ84Q0LMnD38tXDW4orB/+21sJomJ3u0mTUnYXTpfr3kd51HNshoj9o6ocqISVQEDNzPMOrkBkHQ0NP95QRAYP14UzVi7dm2JL7ZrtXTCrbY15/cEEX85hm425qx9EEO8pLRZLO1HjsfSyZn9X37N0k5LqG5Vncn/TObj4x/rOrRy4+oyEoDIh0+cP9q+C73mwKW1sG0y5GQhCALTu1Tn8751WHY8EK+Ze6VErxzUcTYnJTOHjGzpGrggpCRPX3hkhq5WI5MVMJNXCLebih5cGXckzx59x7CaFYZ1bEjYG/iU4lvtth3z7/8+bbwuQqt8mDtBnQGQHp8vWV2ZeO3HNqiMFYT6x3Hvku4rWhWJRd++VDv4N+rMTGIWLSb8889Rl7KCpmns33kbz82bUGdl8WDmTNL9/Er8XhsjG2Y0mQHAofuHtBWiRDmw6OaJaVsXEv8OIv3WY+sMIyMjatcWW+aPHTtW4v31mFQPgH9W3mSUrTgLv/D+i/U5LgtKQ0O6TRRbnM9tWM+aHmswlBuy494Ovj/7faVeJFGp7LG2bkvUw/1Pv9BsPLy6Cm5sgw1DIE1UghzTypOutR0A+HzXTSnRKyNGBmLnW1RSRjFbvphISZ4eIH62xQ/4c2bo1j7QalqB78sIeDy867FurRYjlNAUlj29yEnOIunI4xVluULJu3+Kht/ZGdKJqsR0/UK8nd8U4oJ0Gkppkcll9Hu7EQD7l1wn9kHVUZsrCQobG2peuYzNpEnEb9lK4JChOlffNKpXjxpnzyDI5QQOGEjWg5LL47d1bUst61rM+G9GlVIOrEpYdPfCsIY1Mev9SLsenf/84MGDsbKy4t9//yU8PLxE+1Kq5Ax4V/z8pm8V1RLnSUleiXD1rUuDrj25cnAfsffvc3bEWSbUm8A6v3V8eOxD0rMr73yjs9OrJCZdJTn59tMv1BkAI7fAg4uwrCskiN//v49uypf96rDqZBBeM/eS84K072sSd2tjAELjSj9T/SIgJXl6hqiu+aQZehwYFayaGfHpp/n3JWXNyoHCxgiztq4kHQklO+7pLzP3eg0BSImXPF9KhKU7NH9DvL91gm5jKQN27mYMniVW4jd9e07H0VQ8gkwmVtDWrSUzOJiAnr1IOXVKpzHJzc1xX74MuaUldzt1LpWZ+2ctRSGgYXuGaSs8iXIgyAWsh9fCwNWMmA1+ZIY8FsGaOHEiAEuWLCmRSTqAc3Urek2tz/0bsdTKFb+z90TFazzuqkjrIWJr45avPkYQBN5q/BY/tv+Ro6FHGbt/LLHpscXsQT+xs+uCQmFGePiW51/07gDjD0J2hpjoxYcAMKqlJ682cQVg1l/XpIpeKXG0MAQgMS1Lx5HoJ1KSpweoeSy8IntSXTMrDdJiCzVCz4qIAMBl7hztBymhMcw6uiEzUpCw92kZ5XbDxwKweNIo1LmVt22lQunxHVh7Q+hZOKH7+a7SYuduhr2HGTlZuflGyy8aRg0a4LN/HzIjI+6Pew2/Wr5kR+lOyMK4SRM8N29CUCoJmz6d+C0FXLAVQF1bUQk5MCGQ5MxkbYYoUUZkBnJsxtZBbq4ieuV1chLEzgkjIyNeffVVAH766acS78+zni1NunvwyuYo6siVjL8eRK50kV4sRmbmtB4yirSkRC4fEGfYunt2Z0nXJYSnhDNm3xgC4gN0HGXpkclUODsN5kH4VnJyCujKsa0Or+2D5AhY8TI8FGfLf3y1AXMGN+DP8yFS62YpsTI2ACA+VUryCkLnSd6CBQvw9PTE0NCQ5s2bc/bs2SK3j4+PZ+rUqTg5OaFSqahRowZ7q5CFwFM+ef/MFm8LEV5RVauGafv2mPfoUTHBSWgEmUqORQ9P0q5FkxEQn/+8g3e1/Pv/rVmmg8gqKRMOi7cHP4XbB3QbSxnoNbUBIBotZ6S9mOINSnt7vPc9Po/faduO5BO6U90zcHOj5pXLGNauTfjHn+BXy7dE7/vnlX8AmHNBWnjTV2QGcuynNASFjKgV18lNFz9zderUwc7OjvT09FLN5zXv641rTUtqnhQ7MM4nSO26JeGl/q8AcH73X2TnzeQ2sGvAuh7rUKNm7P6xXH54WYcRlg1Hp4FkZ8cTFVXId5GFK7x9HYxtYGkHCBG7OAY2duXrAXVZdTKIL3ZLiV5JUeYpa/pHJBWz5YuJTpO8P//8kxkzZvDZZ59x8eJFGjRowMsvv8zDQmYzMjMz6dq1K0FBQWzZsoVbt27x+++/4+LiUsGRa4EnhFfy2zXviCbnFNKjnvXgAUoX5woITkLTGDe0x8DNTLRUeKIP/50NOwC4uG8nSTHRhb1d4kmMLGHUNvH+hsGQFKHTcEqLsbkBvabWB2Df4hdXhl9uaiqqb+ZVUkLGv07AwIHk6mhOVZDJ8PzzD2RmZgBkBBRfWXAwccDT3JPNtzdX6tmiqo7c3ADb0bXJic/g4cLLqHPEzokpU6YAcOjQoUKvQ55FkAm8PKEute6Lico7N+9rJ+gqhkwmZ8TXc0iOi+Xvpb/lP+9m7saaHmvwtPBk/IHxHAiqXAt3piY1MTX1JfLh7sI3snCBsXvAqQGsHQAB/wEworkHn/etw8oT4ozei2KxU14MFLL8bjiJp9FpkjdnzhwmTJjAuHHjqF27NosXL8bY2JgVK1YUuP2KFSuIjY1l+/bttG7dGk9PT9q3b0+DBg0qOHLtIVooKMUH9YeIt68U/PvIuH0bhYNjBUUmoUkEmYBlXx+ywlNIOfc4KZHJ5TTp1R+ApVPGEhlwV0cRVjJ8OsGIvLa6n2tCTuVq3fCsZ4vKWEHYrXgCr7zYnlsWvXtR6+oVkMvJuOnHrQYNSyWCokkEpZJqB8W5vOARI0tkVTOng1jFm/HfDK3GJlE+DFzNsOjpRfbDNGI3iUIZgiDw5pui+uPChQvJLWHbvJGpAUM+aArAvYxMIpIlAa2S4FitBi0HDcPv2GGuHX48/2ptaM3Srkvp4tGFD45+wLqb63QYZekQBAFHh75ERx8iJ6cIMRBDc1GMxe0lWPcK+IlJ4ZhWnrStbgvA62vOkyC1IRZLY3dLrobG6zoMvURnSV5mZiYXLlygS5cuj4ORyejSpQunChm+37lzJy1btmTq1Kk4ODhQt25dvvnmG3KqkEecoM5FkOVV8v77Rrw1MH1uu5QzYltr6rkXT7ChqmDgZoZxY3sSDwSR+8SJvMPo16nRog0A62a+zfnd23QVYuWietfH97+01V0cZWToJ80B2Lvomo4j0T2CgQG+N65j//57ANzr0ZPEv0sugqJJ5JaWOP/4IzlxcYTPmlXs9tWtquNl4cWxsJK3/EnoBtPmTmLr/JUo4neKhui2traMGTMGECt6JcXB05xdbqIfX/ejN6UqTAl5qf+rmFha8ffieUTfD8p/3lBhyHdtv2NwjcF8f+576q2uV2laGC2txHN5bOzxojdUmcGwP6BWT9g8Jj/RWzu+OSvHNuNcUCwjl58hLkW3FjP6Tq4aopOl31FB6CzJi46OJicnBwcHh6eed3BwICKi4HargIAAtmzZQk5ODnv37uWTTz7h559/5quvvir0OBkZGSQmJj71n/6hfiy88qyFAoBM/vw7ssWkwO6dt7Ucm4Q2sejuhTpbTeKhp1t8+rzzIW3zhFiOrF1OTFiIDqKrhHwW//j+bAudhVEWTK1UuNW2BiAxWpKDBrAZP57qJ45jWK8uYW9Nx79efXLTKv53Y9GnN8YtWpCwY2e+4FVRDKo+CIC/7vyl7dAkyolpO1HZMPnkA+J3iy25Xl5etG/fnhMnTnDx4sUS76tZNRumGJsTYSSwdk/l8+/UBYIgMODD2QAc27j6uddmNX+8sPL5qc/JztX/uWVzs/ooFBZPG6MXhsIAXlkJzo3ERC9vrrxjLXv+nNiS+7GpjFh2hqR0qaJXGD52poRJFgoFonPhldKQm5uLvb09S5cupUmTJgwZMoSPPvqIxYsXF/qeb7/9FgsLi/z/3PJW2vQPcYVKplYje5Tk1R8qDucWwCP1OZWPT4VEJ6Ed5OYGmHVyI/lUOFkPU5967aV+r9Bu5GsAhPnd0EV4lQ9BgI+faHc88JHuYikD7YbUAGDXb1eemtV8kVHY2OCxdi2GtWujzsriXvcePCyFAqKmcPz0EwDSb94sdtvRtUejkCn44dwPlab68KIiCAIuX7dGUMlJPh5G/D5R9bhdu3YA7Nmzh8zMklcJ3mniAcDXQhLn9wVpPN6qiIOXDx3HTCDg4jn8jh1+6jVBELg25hpftPqCHfd2MPmfyWTm6HfVRhAErK3bEB19CHVJDN5lchi7F6p3gz9Hwh1RwKm2szmbJ4uJ3riV50jJ0P8EVxfUdjYnMyeXtMyq09WnKXSW5Nna2iKXy4mMjHzq+cjISBwdC54zc3JyokaNGsjljytbvr6+REREFHoSnjlzJgkJCfn/hYToaUVEeHTzhPBKbhbY1y5w8+zIh8gtLJAZGlZQgBLawqyNC3IrFfG7A567IGyaN5938Pf5OoiskqIwgFl5psan5leq+TxLB2Ocq1sSH5nKwimHpQQhD0EQ8PprK95795AdGUnMsuX41fIl5fTpCovBwN0dhaMjoVOmoi7mol8QBL5s/SUpWSmcjzxfQRFKlBVBLsP5s5YAJB8JJSsqFblczuTJk8nJyWHu3Lkl3peZQs4wR2sSTeRsOxosVeVLSINuvQDYO/9ncgsYwRlQfQC/dvyVs+Fnefe/d/U+0XNxHkJOTirx8SX8/CsM4NXVUK0LbByan+jVcDBj7fiXuB2ZxPBlZ4hP1e+fWxf4OoriWIHRkrLts+gsyTMwMKBJkyZP9bzn5uZy6NAhWrZsWeB7Wrduzd27d58ahr59+zZOTk4YGBgU+B6VSoW5uflT/+kzT1koZKaC0rjA7aLmziUnIaECI5PQFoJChmVPbzJux5Hu/7QJrCCTYesmrgwX9MUnUQgGxvDqKvH+l7aQXHnETPq93TD//sIphwvf8AVE5e1NrRvX8x/fHzuO6KW/V4gCp6BQYDtJNM1++Gvxnow9PHtgobLgh3M/aDs0CQ0gyAScPmqOoJQRs9aP3IxsHB0dMTQ0JC0tjXv37pV4X9/VdMVRqWBvUxPWfHyKnGzJ97Q45AoFI74WRYtWvTe1wG3aubZjSdclnHxwkkkHJxGXHleRIZYKKyvxOjbswcaSv0lhIH5veXeA9YPgzFIAGrlbsfq1lwiNTWXY72ckMZZn8LQ1AeBcUGwxW7546LRdc8aMGfz++++sXr0aPz8/3njjDVJSUhg3bhwAo0ePZubMmfnbv/HGG8TGxjJ9+nRu377Nnj17+Oabb5g6teATQmVBJpc/ruQ9meRlpYgXq8+QkyytVlQ1DGtbo6pmScLuANTPXBC8NGAwAPcunNFFaJWXOgOg/Yfi/TX9dBtLKZDJZUxZ2FF8oIYrh/S0+0BHCHI5vv5+VD91ErPu3YmaM4fAAQPJeqYrRBtYDRuGgYcHSfsPoC5GeVEuk1PXti7+sf7sCSjBbI6EzpGbGWA/rRE58elE/X4NdVYu7733Hp6enmzdupWMEi4mqGQyvq/lRri1giN1jNiz4IqWI68aOFargUwuJ+5BKBf37Sxwm5bOLVnSdQn34u8xat8o7ifqp2WFIMiwsmpFZGTBP0ehKFQwZK14f9/7EHgUEBO9teObE56QxsjlZ0hIkxK9R9iaqgC4F5Ws40j0D50meUOGDOGnn37i008/pWHDhly+fJn9+/fni7Hcv3+f8PDw/O3d3Nw4cOAA586do379+rz11ltMnz6dDz/8UFc/gkaQK1SPcrw84ZW8ds3MVFCaPLd96pmKa1GSqBgEQcCyjzfZcekkn3haLt6lhmjEnKkDwYlKT8eZIFPAwxuQW3kqoYJMYNJv7QE4vlkScCgIhZUVrr/Mxem7b8kMCOBu+w7Eb9+u9eM6ffctWWFhxK5ZU+y237X5DoAPj31IUEKQliOT0ARKe2NsRtUm60EKUUuvIlfL6N27N6mpqSxZsqTE+3nZVhR+ulbXmBC/OG4cC9NWyFWKt9aIVjiHVy0lK71gr8mmjk1Z13MdAgJD9wzVW9N0c3PR/zQ5pZTncKURfBQBHm1g3SC49y8gzp5teL0FQdEpjFlxVqroPUFNBzPipN/Hc+hceOXNN98kODiYjIwMzpw5Q/PmzfNf+++//1i1atVT27ds2ZLTp0+Tnp7OvXv3mDVr1lMzepWWR5W8XDWCkPfPkpVaYCWPvNerHfqngoKTqAiUDiaYtnAm8d/75CQ97rs3NBUtNE5u3qCr0Co3ffPmGRe31W0cpUShlFO3nQsAOVlSu1dhWPbvT7V/xbb/8A9n4levvlbbN40bNUJmZsbD774vdmbS0tCSY0NEK4Ud93ZoLSYJzWJY3QrLvj5khiQRv/setra2mJubExsbS2BgYIn386mPM/GooYYZ/62/RUKUtFBXHHKFkoEzPwdg4YQRhW7nbu7O6h6rqW5ZndcOvMa/9/+tqBBLjKfHFACCgxaV/s1KIxj+JzjUhY3D4NY+QEz0Nk5sQXBMCg2++Js7kUmaDLnSYm1iQK40w/4cOk/yJJ5GePKPNDOlwJm87KgokMlQFCJQI1F5Me/ijiAXSDgQlP+cgZH4N5AYFUl6stSOUGoaDgNjW7GaF1PyuRp9oHYbZwBWzTyh40j0G6WzM7Vu3sDilUGQlUVA7z75XqLa4JHSZuib04rd1tLQkt7evVl2bZkkpFOJMG3hhGU/H1LORJB8Iozp06cDsHr16hL/O45wEi1R7nW1Q2WiYPuci5JqbgnwatgESwcnsjMzuHRgd6HbWRtas7jrYurZ1uPtw2+z5kbx1fWKRKEQO7EiIsu4wKMyhdf2g09nUYwlTy26rosFGye2AKDr3KNSRQ+wN1dxJiBG12HoHVKSpy888sl78gsgKxUMnm/XzI6OQm5jjVAVKpgSTyEzVmLezYPUC5Fkhj5eoWs9eCQA1/49oKvQKjev5f3efmus2zhKiZ27qBqWnpzFqW13dRyNfiPIZDh/9RXeu3aSFRLC/TFjCH37HdRaECyy6NMHk9atST50CL9avsVuX82yGgBBiUEaj0VCe5i2dMa4kT3x+wJRJ2TRuXNnAA4cKNl52EKpYJiTNRui4+k0qhbJcRlsm1Ny370XmXFzRWusf1csJreIVnsjhREru69kbN2x/Hj+R746/RW5JbEtqCCcHAcCkJFRRvEvhQoGrxHHDk7Nh4vivF4tR3PmDWsEwJiVZ0nNfLHtFdRqMDZQFL/hC4aU5OkNYnIn5E/nUai6ZnZUFAo7u4oKTKKCMWnmhNLBmPhdjy0VWgwaCsDR9SuLFXyQKADbauDeSrwffEq3sZSS8T+LbaYXD9zn7oWHOo5G/1FVr06N8+cASNq/n/uvjdeKErHb70vz7ycePFjktj29egIQkiSJ6FQ2LPv5IDNUELPBjzYtWmNmZoa/v3+JvfNaW4rt9ndcVThVsyD8bgJR96UWu+KQyeUMymvb3Dd/TtHbCjJmNJnB7Jaz+fPWn8w8NpMsPbHOqV59FoKgICJye9l3IlfAJ9HQcATsfBOubgagbwNndr3ZBv+IREYtP0t6VuWZO9c09VwsiE7WvspyZUNK8vSER6mdXJb3T6JWFzqTF//Hn2Tc9Ku44CQqFEEuYNHHh8zgRNKuPF79q9ZMlGSOuh+ko8gqOaPzWmYqkdImgKGJkv4zxBXbA8uuF7O1BIDc1BRffz9cF8wn9cwZbjdvQeqlSxo9hiCTUevaVZQe7oTNeLfIbe2N7VHKlFKSVwmRGSqwHVOHrPAU4rbdYdSoUSQmJvLnn3+W6P0DHawAmO53n77TG2Lnbsamb86REi9dkBaHZ8MmAPifOEJMaPEqmoNqDOKDZh/wd9DfzPhvBqlZqdoOsViUSivs7XsQGrq2fO3aggB9f4PGo+Gv18U5PaCeqwW/Dm3EjQcJTFhz/oVN9GzNDEjNzJEM0Z9BSvL0hUftmo/uZKUB6ufUNaWZjhcDQx9LjOrakLA3kNy8k1aH0eMB2L+g6FVNiUJQGED1lyEnAxIql9KdSw0rmvb0BDUEXKo8nn+6xqxzZ7x3iRLmwcOGE/jqYI22bwpKJTavvw5ZWaTfulXodnKZHBdTF0KTQjV2bImKw8DNDIseXqRefIjR7Sw6derEvXv3uHOneNVEmSDwrqcD8dk5hGVn0218HQBWfSjN2ZaEaas2AbDq3Skluv4ZVXsU8zrN43zkeYbuGUp0WrS2QywWZ6dXSU8PIympnIt0Mjn0zvPovLUXLq0D4OU6jvw+uikXg+OYsOY8mS+gL6OFkRKAxHT9qODqC1KSp2fIHp3DHq1APVPJy7wrzeW8KFj09CYnNYuk/8TVf3M70VokLjK8qLdJFEXvvAR5bm24WUr/Ih3TtKcnAPuWXMPvpPQ3UFJU1atT8+oVBEND0q9dw79OXTI0eB617N8fuZ0todPeKnI7NzM3qZJXiTFt7YxxUwcSdgfQ1LUebm5ubNy4kbQSWNu87iqOV3wbEI6lgzG1WoqiaYFXpAWb4jAwMqZxj74A3Dp5tETvaevalnU91xGREkHHTR0JTgzWZojFYmnZDID7IcvLvzOZDD6NgyZjYcebcFPsUGlb3Y6lo5ty6l4MMzZdJucFE/hJyRAX70JidV+91SekJE9fyDdDz3ucmWd4/ozwSuSPPwKgdHOroMAkdIXC2hCztq4kHQ0lOzYdQRCwcnImW4vy8FUeC1fo+ZN4f9MouLVft/GUArlCxsD3m6A0lP+fvbOOb+rs4vj3xmppm7oLToHiOtx92HAYugFDJkwZjL0wNmbIBoNt6Cju7sNluDullELdXZK8f1wIlLbQlrQJNN/PJ1u48jynkZt7nnPO7/DvP9eJfmhSWs0vEoWCihfO4zLhK+SengR26kzk73P0MrYgl2NRqTKZwcEvrP0zOXmvN4IgYNe1LApfG6IXX6Vtw5ZoNBp+/PHHl55rJ5fR3N6aE3FJaLRaWgz0w7eqIzvmXSYuwnRT+jKaD34f32o1+XfJX6SnJOfrnDKqMixuuxiAPtv6EBgXWJQmvhCJRIFc7kB4+Fb9ZGNJJNBxBvi/A+uG6n7HGpZ1ZE6/Gmy7FMrETVdKVOZX/dIOAIQl5N5bsaRicvKMDAnP9MiDHOmaclc3ADzn/F6cZpkwENbNvJBYyonfKfZm8vSrApjSdl+Juu/Bp4/TrFb2huOvz3fJrYytLt1r1dSiaxHwpmL/7ruU3iKufEfNncv1in5kPHh1x8tt2ncIFhZEzp6d5zFe1l4ExgdyKfLSK89nwjAIMgkO/SoiVcphyQN8nDwBCAoKeum543xcCM/IYn90AoJEoMXAigAs/+YkmhIWdSkMLYaMICs9nfXTviE9JX+OcWXHyuzusRt7c3ve2/seN2JuFLGVeVOl8kwAYmOP62dAiRS6zAWHcrB+GDwQfw/aVXHj157VWHkqmO+2lxztBkelAoArDxMMbIlxYXLyjAThSSTvscomGbmna0osLAAwr1ChuEwzYUAkZlJU7UuRejmKtLtxKCxFp//0lvUGtuw1R+n81NHbMxHCrxrWngLg6+9IjdbeAJzY9Hr1/TMGJJaWVLx+DfuhQwG427oNMcsCXmnhROboiPOn44ldsZK0a9dyPaaltyi/339HfzI1prqR1xWpjRlOH1QHoOWD8ni6e+YrbbO+rRVlLMyYGxyBVqvFwlpBq8Fi+415HxwoarNfe+zcPHhn4lSiQoI5FJD/tEd3pTuL2i7CQmbB8D3DuRh5sQitzBuVqh4A5y+8q79BZWYwbDe414ClnSFIrPPsUcuTUc3KsPDoPWbsvVUiFoWFxzfRCqnwkiNLFiYnz9jIeiwKcOXxTfxzLRRili4tZoNMGBqL6k4ovK2J3xpI496DADiyYolhjXoTUDrD+MdiGeuHG9aWAtKgexkArh5+vQRkjAVBEHD5/DPKHvgXJBLCp03jhl8lMiMK36LCrndvpLa2JOzZk+t+N6UbM5qJNaGt1rYq9DwmDI/USo7rl3WQINDgnhfp6enMmfPi9F9BEJhQxo2T8ckcjhVTrSvUd9PtD7xgqs97Ge7l/ajdqRuX/91DeGD+62pdrFz4q/VfeCg9GLRzEEdCjhShlbkjkciwU4kNzDUaPZZcmNtCvzVg7QYrekPIGQC+aFeRHjU9+W3/beYdKhmLgVU9bTlyx/BCO8aEyckzGsSVFqnkcYPzk3PF/+fSDN1EyUIQBFSdy5AZlkzquUg8K4kpm+osUzTglbEWBRCIuAbpr0/vKkEQqNLEg6xMDWnJps9BYZG7ueF37Sr2Q4YAcLdVaxJ25+6kvQxBJkPZrClJ/+YdlWnt05pmXs2ISYth3a11hZrHhHEgU5ljVlaFrdaSGhWrkZyczNWrL84I6OBoi0omZU5wuG7byDnNANg5/7KprUI+qN25G2i1BHz10QubpD+Pu9KdgPYBNPZozOj9o/nhvx+K0Mrc8fIaDEBISIB+B1ZYwsij4FIZArpDqBit/LVXNUY3L8NPu26y4dybr+xrbS4jMDJ/NZslBZOTZywI2f73lOcieQpfX+wHDy4Oi0wYEQovayxruZCwJwj/xm0BSE82Xcz0wpP+eT94wnH9iHEUBzXb+SCVSVg4/giB5yPRmup6Co3LF59T7ugRlM2a8fDDDwn99ls0hfh+KVu0JP3WLTJeUKP1JJr3vxP/K6y5JowEx6FVkNqZUS9UTJ9eu3Yt6S8QxhIEgQ5OtpyIS+JKoliSIZVJ6Du5HlK5hB3zLqFRlzz5+4KgMLeg/RixL+WF3TsKdK5cKmdm85k092rOihsr6LOtT7GmMjo6ihH8R6FFsMBjpoR+q0FqBsu6QeQtAD5tU4E+dbz4dO1Fdl15s1WZvewskUlM6ZrPYnLyjIQnH0vh+evNc5G8rJgYZI4OxWKTCePCtp0v2iwtyvtiXWZiTLSBLXpDKN0MvMR6CfZ8DYGHDGpOfrG2N6fd+1Vw9FKy88/LXPzXpNz4KsgcHfGYPQvnL74gbtVqbjV4i8SDBws0hrJJYwRLSxJ25a3aKpfI+bDmhwAGSRszoT8EiYDDgEpkhafQ0b0RANOnT3/hOT+U98RFIWfynUe6bfZuVrz9YXUi7idyeNWtIrX5TaBS4+bYuXtyYMmfJEYXLD1PJpExq/ksqjtV52r0Vab9N63YHD1BEPD0HERKSiBq9ctbbxQYCxWMOgaaLNHRiw9BEAS+61qFjlXd+WD5OXZfDdP/vEZCVU8V0ckZZJkWSnSYnDxj4bGXJ33+s/kkfRPQZGSgSUhA6uBYfHaZMBqk1gpsWnohuZWJjdyBA0v+NLRJbw7D9sDQ3eLzf96GW7sNa08+8fKzp/fXdfGu7MCxdXcIvmpy/F8FQRBwGDKY0lu3oM3IIGTkKKIXLc73TaDEwgLr5s1J2LHzhccNqzIMZwtnxv47Vh9mmzAgCg8lysYeuAWa4WnhjFar5dSpvJVvzSQSBro7cCwuibspT+Xe3cuqqNOpFFePPDI5evng7U++AuCvDwYX+FxBEFjWYRljqo9h9c3V/HLml2Jz9Dw8+qLVZhEVXURiO0pn+OAkCBII6AFp8cikEmb3rk7rSi58uOo854Nji2ZuAyN/LLoSl2oqYXiCyckzNl5woVFHizdwMgf74rLGhJGhbOiBzN6cGg4teXjjGme2bjC0SW8O3vWh6zzx+Ype8OiCQc0pCC0HiSp9W3+/SFZG/utUTOSOWblyVDh7BqmjIxE//cQNv0pkRefPgbbp0J70W7de2HBdEAT6+vVFrVUz98JcfZltwkDYdigFQJtYsb3Jjh07Xqi22d9dzMb5ITB7+lydjr4AXD4YQuSD16dG2BA4evlg4+QCwKNbhWsVMKLaCCbUm8A/1/7hfyf+R5YmS58m5orSqhwAV64U4QKPjTsMWA9J4bB6IKizkEgEZvepQRV3WwYvPs2NsDev1YC7Ssxyikoy1bY+weTkGQuPI3kyuTzPQ7KiYwCQOpjSNUsqgkyCbcfSuFqUwt2yLIcCFhF2x7Tqqzeq94Pej4vi/2qqk6Q2dixtFFRr6QXA6e33DGzNm4HEyoryR4/oRFluN2xE6sWXy69bNW6MxNo6X9E8gPkX57+6sSYMiiAIuIyvhUQmo0dpse7q999/zzM65KSQ09lJxbbIeNTPHCMIAiN+a4qlrYK9C6+SaVqweSFDZs7HtWx5dv0xq0AiLM/St2Jfvmv4HVvubuH9ve+Tri56B8HVtSsAanURNu52Kg+9lsH9Y2KbIMBcLmXxkDq4qywYuPAUdyKSim5+A2BjLt4/p5q+NzpMTp6RIRWepmdStnW2ferHuecyk5NXojH3s8esnIq6Hp2QIGX5158Y2qQ3C7/O0Hqq+HxJB0iJMaw9+aRRz3IozKU8uB5bIvoiFRcuX3yO79q1SKytCeo/gAcjRqJJy/vmTKJQYN2yJQk7d77wfRAEgUYeYh3XhtumiPzrjtzJEtt2vthd01KvbA1SUlLYv39/nsd3d1EB8NeD7K0TZAopXT6sQWxYCut/OluUJr/2yORyWg4ZSWzoQ/YvmFfocbqU7cL8VvM5H3Ge0ftHk5KZv2brhcXHewQA0dEHi3QeSjWGtj/Af/NgUTsArM3lLBtWFztLOe8u/I/whCJ0NIsZlaXo5IXEFkG942uKyckzEp40Q9e9IXIrKNM82zGpj+WZZfamdM2SjCAIqDqVxkxjRnnbWoY2582k4Tho/5P4/KdSr017hXYj/IkMTuT8nmBDm/JGYeFfhfLHjuIwZDBJhw5xs3oNkl9Qd2XTvh0Z9+6R8YKUTYA/Wv6BRJAw+fhkfZtswgAo33LHrLQt1YJdqV6tOkePHuXRo0e5HtvO0RYPMzm7o+Jz7LN3t8La3pzokCRC78QVsdWvN65lywNwaf8uUuLjCj1OXbe6/NX6Ly5FXuKD/R+QllV0zo9SKdp87foXRTaHjnrvg60XBJ+A61sBcFSasXRoXTRaGL70DGmZb0bky9XWHMDURuEZTE6eEaB9pnGCBEGsy8tMydE+Ieq33wEQFIpitc+E8SF3sULZwJ0qDk0wl1rxa+9OaDUmRSm9Um8EdH2cSveDJ2RlGNaefODlZ4+1gzknNt4lPtK0mqlPBIUC5/Hj8ZwrttkIfncQ93q8k+v3zrJuXZDLST7534vHFASd0mbANT33zjJR7AgSAdXbZdAkZNDIvDIWFhb89ddfqNU5b6IFQeCL0mJz9APROeujBkytj52bFbv/vmKqs30Jw39fCMC+hX+80jh1XOswt+VcrkVfY+S+kSRnFp2zYGVVHrU6CbW6aKOGAHx0GfzehvXDIfImAG62FiwYVJtb4Yl8tu4SmjegBY9cKro0UpNno8P0UhgRGkEQ3b2UaEALkTcMbJEJY8ampTcSuZSqdk0BOLF+lYEtegOp3hfa/Sg+/87JsLbkk0Y9xcL+gEknDGzJm4l1y5ZUOHcWuY83aVevEtS7DylnzmQ7RmJhgWXtWiRs3/7S8QZVGoSn0pMfT/+IupB1RSaMB7mrFVb1XEk7FEZrv8YA/Pvvv7ke28PFDkuphOWhOUV9JFIJbYdXJjk+g/3/XH8jbsKLCltnF9qP/oTb/x3n/qULrzRWHdc6/N3mb86Gn+WDfR8UWepmVX/RIQ15uLxIxs+GIMDbv4GNB6weABni31TFw5YZvaqz7dIjZu17M2r7SzlaEZtiUtd8gsnJMyYEkGgFSHysuBUblH23pSUSpbL47TJhlEgs5dh1KEspa3/sFa6cWLfC0Ca9mdQfCe41xefbjL/+sXR1J8ytxNqE4GumlgpFgcTSkrK7d+M57w8yw0K5P2Agt5s2Q5vxNNqr6tqV1AsXiF646IVjSSVSpjcRe6v9fObnIrXbRPGg6lwGAOfjajw9PTl27BihoTkbUUsFgSEejmyLjOdyYk5nwsFDSZthlbl7NoKTm+4Wud2vM36NmuFWviJ7/vqdrMxXu8mv5lSN2c1ncy7iHIN3DSY+PWdK7atiaSkqst658+K+inrDwg76roSYQJhZWafk3rGqG5+0Ks9v/95h0/mHxWNLEXIvKpkdl9/spu8FQVaYk9RqNUuWLGH//v1ERESgeS5dJa9Vq9cBtVpN5iteIAqKmYU5aRov1G6uCJYOpIVcAqUXlOsEzxT4q21tAUh7QdG/iZKFtKoKLlpSw6wDJyK2EBX6EKWdSZgnL6RSKTKZDEEQXn7wswzeBt+7w5mFYGkPLSYWjYF6ov//6rPw0yP8t+Ue3pVMn4eiwrp5c6x27+ZmzVpkhYdzo2o1fJb9g2WdOihbtgJBIOLnn7GoUR3LmjXzHKeaUzUA7sS+uIbPxOuBIJPg8mltIn47T3vzOvxNCOvWrWP06NFIJNnX1kd5OTM3OIIFIVHM9vPOMVa5Oi66Olv3cip8/U19cnNDkEho/d4Y/vlsDGe2bqB+996vNF4L7xas7LiSUftGMXT3UP5s/SeOFvp97UuV+oh792aRmHQDa2VFvY6dK04VoOkXcGAa7J8CrcRa4DEtynItNIGvNlzGz82GCq7WRW9LEVHa0YrAKFNN3hMEbSFk2MaMGcOSJUvo2LEjbm5uOW6YZs6cqTcD9U1CQgK2trbEx8djY2OTbV9SUhIhISHFrkyXlJCIUhNLRooMrZUcM7kUMpLAXAXmT23MfFzALXd3L1b7TBg32kwN6qQMMjSpqFFj7WC6CXgRlpaWuLm5oShobWvEDfijnvi8Qkfoa9yR08sHQzi86hZlazvTdngVQ5vzxhPx669E/70AAFXv3jh/Oh6AW3XqAlDu2NEXKiPPODuDxVcWc7j3YezM7YreYBNFTuKRh8RvDySxthmrr+ygVatWNGrUKMdxk28/5M+QSP6r74ePhVmO/Wq1hvmjDwIw7NfGuki9iZwcWbGEU5vXMeCHWbiULvvK491PuM/Q3UORClKWtV+Gi5WLHqwUycpK5tDhqnh5DqZ8+Ul6G/el7PwSTi+A9/4Ft6oAJKVn0XP+CeJSMtg0uiEuNubFZ48e+W7bNRYcvUfQ9I6GNqVIeZEv8yyFcvIcHR35559/6NChwysZaQjyemHUajW3b9/G0tISJyengq/0vwKxkdHYacNJjZejVZlhaa2ChBBwKAdS8WKu1WhIv3MHmbMzMpWq2Gwz8XqQFZuGOi2TxMwYHL19DG2OUaLVasnIyCAyMhK1Wk25cuVyrKq/FI0GZvmL388Rh8GtWtEYqyf+/ec614+H0mdSXRw8TKneRY02K4voBQuInDUbANse3bHt2JHgocNQlC1DmW3b8jz3VuwtemzpQRWHKqzstLK4TDZRhGi1WsJ+Oo06Np3tzpdJUCczevRoLC2fE1XLyKLKsSs0UilZVyN3xyT6YRKrpp7Ct6ojHUb5F+s9yutEekoKc4b0AmDc0nXIzV/dWXmQ+IAhu4ZgKbdkcdvFOFjoLzti/79iam/LFsWYjpuZCovaQlIkvH8QrEXHNTwhjbfnHMXV1oI1I+pjJpO+eBwjZNnJ+0zadIUL37RGZfnmihQWqZPn7u7OwYMHKV++/CsZaQjyemHS0tK4d+8evr6+WFhYFKtNUWEROGoekhKrQGtvjpXKXqzHc60KEvFLpsnMJP3mTRTe3khf8IaaKJloszRkhCWRpk7G3NEGMysrQ5tktKSkpHD//n1KlSqFeWFuAOKCRUcPYFI0SAuV9V4spCZmsOizo5hbyRn6SyPTjWExkXH/Pnfbin2pbDp0QDAzI37jRpzGf4Lje+/leV7/Hf25FHmJMwPOYCbNGdEx8fqhVWt4+PUxkkljteUJKleuTI8ePXIcN+76fdaExXKlYRUcFblfU26fCWfPgqs061+Byo09itr015ZL+3ez96/f8alag3e+nqqXMQPjAumyuQtOFk5s6boFpUI/i2a3bn/HgweLqVtnK9bWlfQyZr5ICIUZfoA22+/YhQdx9PrzBLV97PhnaF1kr5lU5YUHcXSde4zV79enXuk3t1Qhv05eod698ePHM3v27Dey4a5R3ARpH9c4PmvLEwlmmfHeUJowHIJMgsRKjrnUivjwcLRaUzuFvChw9O55VN7QZpr4fKoDGLEiooW1grqdS5GWnMnJzYGGNqfEoPDxoeL1a7hN+46EXbuI37gRiY0Nkb/OQJOSt1rf2BpjAXh/z/vFZaqJIkaQSnD9tDZKMysqW5bm8uXLJCUl5ThulJczAJPv5C1+Ua62C5UaunFw+U2iQl6P3p2GoGrLtpSqUZv7l84THqifOtfSqtLMazWPpMwkhuweorf2CmXLfA7A3bvFLLpk46aryWPP0xrz6l4qfuzhz/G70XT47Ujx2qQHfOzFKPntiJzfsZJIoe52jh49yvLlyylTpgydO3eme/fu2R4mCo8AOtUjnumfp80SbyQF6esXPjdRPMhszdGixVJmTXJcnKHNebN5aww8ibQs62pQU15G7Q6+OHgoObfrPrdPhxvanBKDIAioevSgzJ49AGgSxF5od9t3IPXylVzPqe9Wnx7lenAu4hzXoq8Vm60mihaZowX2fStSJdoVgJMnT+Y4xk9pgbNCxvrwWNJf0PO0Ua/y2LlZsevPK2SkZRWZza87XT79GudSZdg260e99ZBt5NGIv1r/xb34ewzbPUwvjp5EIqYURsccfuWxCkyjj8UWQf/Ng4tPWzB1q+HJiKaluRWexMpTwcVv1yugshRLnCTGELAxAgrl5KlUKrp160bTpk1xdHTE1tY228PEK6J5fOHOFskTt+XXyTt48CBly7560bGhWL58OZ07dza0GQUiKCgImQEjrYJEQG5ngUJiTnpcIhmpqXTu3Jljx44ZzCZDMGnSJObMmVMME0WAXSm4dxjUxtuXRxAEOo0Rawf3LLxKcly6gS0qWSg8PfC7cR3P+fMAyAoPJ6hnzxyq1E/4su6XAPTe9mrqgCaMC4uK9jhV88Reo+To0aNkPNNu4wmLq4iy+uvDY/McR24mpf2IKsRHpvL3R4dRq01ZG7khlclpMWQkceGhrJumP1GT6s7VmdNyDjdjbzL237F66aNXvrwYUcvIiHrlsQpMvRFQtQ9s/QgeXdBt/rJdRfrV82bSpiucCYopfrsKyZNsvFvhpkg3FNLJW7x48QsfJl6RxJw9Pv746y+qd+6MpbU1vr6+TJkyBbX6aZpYs2bNCAgIKE4ri5T+/fuzdetWQ5uhd0JCQpBKpXzySfZ+a0FBQQiCgFKpRKlUUq5cOf7++2/dvvw6jxJLOcgELGU2HPl3P1FRUTRs2DDbMd9//z2CIHDp0qVs27/99lvkcjlKpRKVSkWLFi24dq1g0YTU1FQGDBiAtbU13t7erFyZt4BETEwMPXv2xN7eHhcXF8aOHZvtM/2E9u3b5/j7jxw5Qq1atbC2tqZu3bpcvnxZt2/cuHH89NNPxdMKpffj79yNlze9NiRKOzPaDK8MwIpvc0YRTBQ91s2aUf7k0wb1dxo3yTWiZy4zp7ZLbQBCk0z9nt4k7N4pT62s0gDMmDEjx/5atla0dbRhVlA4GS+IPtm5WlHvbdEhfKK6aSInHhX8sHFy4cHVyyTG6M+Bqu9Wn79a/8XpsNPUW1GPpIxXSw10ce6IIEgJj9ihJwsLgCBA51lie4XVAyEl5vFmgf+9XZma3naMDDhHZOLrtTgYnmBqNQav2Aw9MjKSo0ePcvToUSIjI/VlUwlHeJoG9pgffviBH2fOZO6UKSQmJrJ582bWrFnD6NGji9yarKyiSQcpqnGNnRUrVmBra8uqVatyODRSqZSkpCQSExOZOXMmI0eO5OrVqwUaXxAEZPYWSAUZK1atpW/fvjmOWb58OXZ2drkuCgwaNIikpCRCQ0Px8PBgyJAhBZp/8uTJREVF8fDhQ9asWcMHH3zAzZs38zw2JSWFBw8ecOXKFQ4fPsyCBQuyHbNp0yYSE7OvyMXExNC1a1cmTpxIXFwco0ePpkuXLjqnzsnJicqVK7PtBUqGesO1CrjXgLWDIMO4e/OUq+2CmZWMjDQ1WRnGW0f4JiNVqah4WVxcUUdHE9SzJ4n79+c47scmPwIwct/IYrXPRNEiyCTUGtwcN7UdaWlpXLmS08n/yMeV4LQM1oXlHc0DqN2hFG5lxcypywdDisTeN4F+3/2ChY0Nu+bmdKpfhTqudZjeWGxkPnjX4FdK3VQoHLC3b0R42BZ9mVcw5BbigmVGEqweoMtMkUslzOlXA4D3l50hLfP1+d3YeSXM0CYYBYVy8pKTkxk6dChubm40adKEJk2a4O7uzrBhw0h5QVG5iRejk7ExtwWZ6OjFx8czdepUfvv+BxrVq4dMJqNatWoEBATw999/c+vWLaZOncqRI0cYPnw4SqWS77//XjfmlClTsLe3x9fXl927d+u2x8TE0K9fP5ydnSldujRLly7V7WvWrBmTJk2idu3aWFlZ5YiIREZG0r59e1QqFY6OjtkciUOHDlGrVi1UKhXNmjXj7l1RFvhJNGr+/Pl4eHgwePBgypYty6FDh3TnBgUFYWNjQ2pqKkuWLKFVq1a6fRcuXKBp06aoVCq8vb1Zu3YtIEaOxowZg7u7O56enkyfPl13zrZt26hQoQLWj6Ofq1Y9zTl/lkWLFlG+fHmsra2pWrUqBw8ezPZaTJ48mdq1a2NjY0Pv3r1JT3+6ovX999/j4uKCr68vW7a8/AIdEBDAd999R1paGvtzubmDx+l1nTrh4ODA9evXc+yfNm0abm5u2NjY4O/vnyPaJlFIydCm8e+hQzR6K3sU79y5cwQGBvLLL7+wcuXKPFPGLCws6Nu3b4GdzGXLljFx4kRsbGyoX78+Xbp0YcWK3PvJBQUF0bVrV6ysrHBycqJt27bZ/pa0tDQmTpyY7T0FOH78OD4+PnTr1g2pVMqgQYOQSqXZPktNmjRh165dBbK90LR4nAr0vfH3r2zcsxwA146ZIkSGQpDLcXy8QGfu70/I6DGEfPQxWbFPb+qdLZ2p5VKLwPhA4tPjDWWqiSLAvLwdvep0RKk1Z926dcTHZ39/a9hY0szOmhn3w14qbtf901p4V7Ln6JrbPLoTV4RWv75YqexoOWwUwVcuceXAXr2O3bF0R1Z2XElIUghDdg15pe+qg0NzEhIvk5VloMVClRf0WQEhp2HdUJ2gmLONOQsG1ebqowQmbLz8kkGMAy97C1xsTOrEUEgn75NPPuHQoUNs3bqVuLg44uLi2Lx5M4cOHWL8+PH6trHkIDwRXtHw5K05ceIEmZmZtG/eLFs9XvXq1fH29ubAgQNMmjSJxo0bs2DBApKSkpgwYQIg3kSbmZkRERHBhAkTeP/9p4ptAwcOxN3dnQcPHrBjxw6++uqrbOl7K1euZNWqVcTHx+dIlfv1118pVaqULmIzdqyoCPfgwQPeeecdZs2aRXR0ND169KBPnz6689RqNRcuXODu3bv8/fff9O7dmzVr1uj2r1mzhs6dO+doYREfH0+bNm0YOHAgkZGRnD17Fj8/PwA+/fRTYmJiuHXrFqdOnWLZsmW6CM7w4cNZtGgRiYmJnDx5kqpVq+b6sru6urJ//37i4uIYO3Ysffr0yebIrVmzhvXr1xMcHMyVK1d0TsuOHTuYO3cuR44c4cKFCy918i5dusSNGzfo06cP3bp1yzO9VqvVsmXLFmJjY/H398+278aNG8yfP5/z588THx/P2rVrsbe3zzFGmjSLoAf3cbW0Iyb0qVpbQEAAHTp0oG/fvsTFxWVzaJ8lOTmZFStWUL16dUCMQKpUqlwfT17X2NhYwsLCsr3O/v7+eTqKI0aMYOvWrSQmJhIaGsrOnTtp3bq1bv/06dPp06cPnp6eub5Gz//72XkqVqyYIx21yCjb8unz+Y2LZ85CUqG+G84+1gReMGVeGBK7vuJ1UZuViftPP5J8/Dj33u5C0uGn4gtT3poCwPyL8w1io4miQ9W+NG8r3wJg5syZOfb3d3cgJC2TX4NeLpTUbqQ/Go2Wjb+cIz21ZGbIvIzy9RriWqYc+xb+QbqeAxFVHKvwY+MfuRd/jxF7RxQ6oudg3xitNouoqNwXf4sFnwbQ4We4vgV2fKrbXN1LxRftKrLh3EPWnH5gOPvyyVulHQlPeL3SS4uKQjl569evZ+HChbRv3x4bGxtsbGzo0KEDf//9N+vWrdO3jQYjNUPNlYfxRfpIzZY29URoRaMTXYmKisLR0REpIDznbLm4uBAVlXeeuZWVFZ999hkymYwBAwYQHBxMXFwcYWFhHDx4kB9++AEzMzMqVqxIv3792LBhg+7cYcOGUbZsWczNzXO0lZDL5YSGhvLgwQPMzMx46y3xx2r58uV069aNxo0bI5VKGTt2LEFBQQQFBenOnTx5Mubm5lhYWNC7d2/Wr1+vS1tcs2YNvXvnFBvYtm0b5cqVY/jw4cjlcpycnKhSpQparZbFixfzyy+/oFQqcXd3Z9SoUbrPoFwu5/r16yQlJeHq6kqlSrn3oOnQoQNeXl5IpVLee+89BEHg9u3buv3Dhw/Hx8cHlUpFx44duXjxIgBr167lvffeo3z58qhUKr788ss83wsQHaxWrVphb29Pnz592LhxY7bIt1qtRqVS4eDgwMSJE1myZAkVKlTINoZMJiM9PZ3r16+jVqupWLEirq6uOeZKfSzUY2/tiDo1A61Wi1qtZtWqVfTu3RsLCwvefvvtHI7msmXLUKlUlC5dmri4OJYsWQJAv379dAs6zz+eOFNPZMGtra1149nY2OQqFw7iQkVCQgJ2dna4u7tTr149OnXqBIgLFGvWrOHTTz/NcV6DBg0ICgpi7dq1ZGZmsnDhQgIDA0lOfvrjam1tnWOFvEiZHCf+P+wS7PxCbJpupFRp6snDm7GEByUY2pQSi8zREadPPiH9+g00KamU2b4Nqb09D94fwd0OHVEnJeNt442fvR8B1wPI0phu3t8kBLkEn57V8FU7AWT7vQHo5CSmYf4SFEbqS4RV5Aop3T6tCcB/W0xtUvKi5bAPUGdmsnbq16j1XC7S1Kspf7f5m2vR16i/on6hInqWlr4AXL32sV5tKzC1BkO76XBmEVx+ej8/rFEpulR3Z+KmK5wPfnEqsaGxtZSjkEneyDZvBaVQTl5KSgouLi45tjs7O79R6Zp3I5Po9PvRIn3cjczlBlirBUF8axwcHIiKiiIrIwOeU9YMDw/H0dExT/udnJx0PcEsLcXeIUlJSQQHB5OWloaTk5MuGvPnn38SFvY0hzm36MkTPvvsM7y9vWnatCkVK1Zk4cKFAAQHB+uchCeP5ORkHj4UI0kSiQQ3NzfdOFWrVsXe3p5Dhw5x9+5d7ty5Q9u2bXPMFxISQqlSpXJsj4yMJDU1lUqVKunmmzBhAuHh4urnunXr2LhxI56enrRr1y7X1EcQ675q1qypGyMiIoLo6Gjd/mc/65aWljqnJTQ0FC8vL92+Z58/j0ajYeXKlTontkWLFlhaWrJp0ybdMVKplLi4OGJiYrh06RL9+/fPMU7ZsmX59ddfmTBhAi4uLgwfPpyEhJw363Z2dgAkpyVjKbMhLSmR/fv3k5CQoHOk+vTpw/r160lLe1qgPHDgQOLi4ggPD2fbtm0FUmhVKsXmsM/W0CUkJOi2P0+vXr2oVasWSUlJhIWFcevWLX777TcAPv74Y6ZOnZprs3IHBwc2bdrETz/9hKurK/v27aNVq1bZPrOJiYnFq/QrCPBFkPj8v/nwg+czrVCMizI1xRvLddPP8Oh2rOmH0EA4DB8GQPSCBcicnCi1aSPWrVuR+eABgR07knr1Kl3KdgFg9c3VhjTVRBFg5mtLa3lNnDW2bFq/MVuduiAI7KldHoDvAx+9dCz3sirqdi7F5QMhXDv68uNLIq5lyvH2p18THnibQwEL9T5+defqTKwv9psbvGtwocRY3N16AZCaauC2BfVGQpUesH4YPDyr2/zTO1Wp7GHDB8vPEZ1kvJGySm42ZGRpSDHVnlMovfcGDRowefJk/vnnH91NWGpqKv/73/9o0KCBXg00JGWclGwb26jI50iOee7Lon0ayWvQoAFyuZwd+/bTpWsX3SEXLlzg/v37NGvWDChYE3cPDw+USiWxsbF5nvei8WxsbJg9ezazZ8/m5MmTtGjRgubNm+Ph4cF7772nu1F/lifqkc/zJGXTx8eHrl27YmaWM4/ay8srV6VNR0dHzMzMCAwMzDVlsV69emzfvp309HS++eYbRo0alSM9MT09nb59+7JhwwbatGmDVCrFzc0tXze+bm5uPHjwNHXh2efPc/DgQUJCQhg/fjxffPEFAHFxcQQEBNCvX7+XzvUsAwcOZODAgURFRdGnTx9mzJjBt99+m+0YpVKJr68v96IeUNXLj8SoWAICAkhPT6d0aVHdTaPRkJCQwJYtW+jVq9cL51y+fDkjRozIdZ+Pjw9Xr17Fzs4OV1dXLl++rFP0vHLlCpUrV871vIsXL7J48WLMzc0xNzenV69e7N27l3HjxnHw4EFOnDjB6NGjUavVqNVqXVpt5cqVadq0KadPnwZEEZ+yZctSp04d3dg3b97Mkepa5FjYwcRImO4FmcmwoBW8Z8DUmzxQmMtoP9KfPQuusvHX8wCMnNMMqewVm8SbKBCCRIKyRQuS/v0XrVqNIJXi+fvvpN28RdA77xDU4x2a9enF9FLw58U/6e+Xc9HHxOuN+9f1afZnFmsi9nNkz0Gad3hah17V2pLylubsiIxnYhl3zCQv/n7W7uDLg+sxHAi4gZ2bFW5lTO2snqdcHfH+9PzOrTQf9H6B7pvyQ68KvfC09uTDfz9k6O6hzGo+C3dl/mu1y5X7mtCwjURE7sHHe7hebSsQggAdZ8CV9fB3C/gmBiRSzGRS5varSaffj/LuolOsHdkAS4Xh2kblhZO1eB8ZnpBGaafcF5lLCoX6VZ89ezbHjh3D09OTli1b0rJlS7y8vDh+/DizZ8/Wt40Gw0IhpYqHbZE+LBS59L3Tanny1qhUKr768ks+/HYyR/77j6ysLC5dusSAAQMYOnSoLp3P2dk5W1rki/Dw8KBBgwZMnDiRlJQUsrKyOHfuXL7l8rdv305gYCBarRZbW1sEQUAqldKvXz/Wrl3LkSNH0Gg0JCYmvjR990k06dko1/N07NiRW7dusXjxYjIzM4mMjOTKlStIJBIGDRrE+PHjiYuLQ6PRcP36dU6dOkVGRgYrVqwgISFB1xZAmkuPwfT0dDIyMnB2dgbEz3Z+lWLfeecdFixYwO3bt4mPj+enn37K89iAgAB69OjBlStXuHDhAhcuXGD37t3s3buXiIiIfM0HovNy8OBBMjIysLS0xMzMLNe/C6Bdu3YcP32SLG0GZMrYuHEjK1as0M1/6dIlRo4cma/WG/379ycpKSnXx7O1cAMGDOC7774jMTGRU6dOsXnz5jyd2Nq1a7No0SIyMzOJjo5m3bp1Osfs5s2bOjt37NiBVCrlwoULus/7+fPnycrKIj4+nvHjx1OvXj1dnSbA4cOHc40KFzkyBXwdBjYe8PCM2EPPCCld3YkRvzWlZlsfAPYuLJjAjgn9YP/uuwBEL3gaWTCvUJ4K587iMHIECes2UDtYQWx6LBnqnH3VTLzeCFKBikMaUF7uyaFTR4kOzf7bM7+yDw/TM1n+KDqPEZ4ZSxBo2k+8Pm7/46IpQp8HPSeJwnTH1y4vkvHfcn+LJe2XcD3mOqP2jSI69eXv3RNkMiUO9o0JDTWCsicLFQzaCoIU9k3WbXZXWfD3u7W4+iiBSt/sNsrPmbtK1HW4G2ncitfFQaGcvCpVqnD79m1++OEHqlevTvXq1Zk+fTq3b9/Oc9XeRD7RCo/TNZ+uMH016gPGDxvGiI8/RqlU0rlzZ9555x3mz39akD927FiWLFmCSqXKoUaYG8uXLyckJITSpUvj7OzMRx99RGpqar5MvHXrFs2bN8fa2pqOHTsya9YsfHx8KFWqFKtWreKzzz7D3t6eihUrsnnz5heOVaFCBTw8PHj48GE2Nc1nsbW1ZdeuXSxcuBBHR0dq166tk+WfOXMmtra2+Pv7Y29vz7vvvkvsY5W6pUuX4uPjg52dHXv37s21QbaNjQ0///wzbdu2xdXVlejo6HynKHbs2JERI0bQsGFDqlatqkuDfJ60tDTWr1/PmDFjcHV11T2aNWtGrVq18lT9zI309HQ+++wzHBwc8Pb2xtbWlo8/zj2Hf9iwYaxatQqJjYJtu3fi6ODIO++8k82GcePGsXv37mzpqa/CEzVXNzc3evTowZw5c3SO2ZEjR7Klbi5cuJDz58/j7OyMn58fvr6+fPXVV4C4aPHERicnMb3Q1dVVJwL0/fff61Rjk5KSsrVeiIqK4vLly3Tu3Fkvf1OBEQQYe058vrQzJBmnyIkgEajftTQqF0uCrkSTHG+86TdvKlb16wEQOXMm2mdaqghyOc4ffUTpLZvpGGgDwNpZo7IdY+LNQGIho8uQdwD4/c+5aDVPb5orKS3o7KTil6CwF/bNe4KDu5KOo6uSnpzFv//kXp5Q0vGuIgqDnVy/itSkommYXdmhMlu6biEuPY4+2/twO/b2y096jEpVh+Tk26SlGYECcqkm0GoyHP8dbjzt4VfLx563q4kRyha/HsrrbIPhoFQAkPoatXwoKgStMbrhRUhCQgK2trbEx8djY2Oj256Wlsa9e/coVapUrnVARUlUWASOmockx5khVVlgrsgUe+XZiavsqY976cjs7ZG7G79MuwnjoXPnznz55Rf4e5bFTGqJzMUSqdz40iv0yaRJk3BxcWHMmDG57i+27/qtPbCip/j86zCxF5ERkpacScCkE5hZyhj43VuGNqfEEf7Tz8QsWoSyVUu8clmISkuIo96GxlinaPn7NzW+69dhYVpMfePYvXY7J66epkOlZtTt1Uy3/VpSKi1O32SctzMTyuTv93/uyH8B6PlVbZx9bF5ydMkjPiKMBWPFdMjxq4uun+rDpIeM2T+G+PR4lrZbipdN3nX7T8jIiObI0bqUKf0Zvr5G0CdTo4HV/SH4BHzwH1g/1SioMnk3SelZLBtWl8blnAxoZHa0Wi3lJ+5kUqdKvNvA19DmFAl5+TLPk+9I3pYtW3T90rZs2fLCh4nCofO2n4vkPUGWi4qiCRMvYuvWrTRs2AitmXjhy4rJX7T2dWbq1Kl5OnjFSvk20GWu+Pyn0pBmnGqW5lZySlVzJCEqDc1LlPxM6B+Xzz9D7uNN6sWLaNJzRlPNbVT0rNibeCuBDBkE9XiH6xX90GaY0jffJNq80wEvcxf2XT1K0oOn6oWVlBa0dbTht+AIkrPyF5l4b1YTHDyU7F10jUyT+EQObJ1dqdxMzBw6tbnoUiM9lB782fpPLOWWDN41mLtxd196jkLhAMDdwJ+LzK4CIZHA27+DRAYb3su26+LkNjQu58jHqy8Qk2w81yNBEFCayQg0pWvm38nr2rWrLg2ua9eueT66detWZMa+8Tzx654RXsmWwvOSwmsTJvLCxsWZVHUSQiZo0k0/+sVGjQHQezlkpoiCLEaKd2XxxiI53nh+qEsSnr//jjoyiphFi3Ld3863HQCx62ZgUVOUy79RtRoZISHFZqOJokUQBNr3f5sMIYv1C1aS8O9ThcUpZT2QCTD3Qf7qtxXmMtoMq0xceApHVt8qKpNfa9qOGAfAkRVLyMwoulR1Z0tnFrVdRERqBF03d+VBwsv7zHl5DQEwjpRNACtHaDEJ7h2Ci0/LS6QSgV97VkOjhRHLzpCRZTyLhFkaLXKpfoV1Xkfy7TVoNBqdOIVGo8nzoTbVDLw6zwivaI2435aJ1wdBkJCuTkGNGnV8ulEWS7+x+HUCp8eiMGeXGNSUvLBztQIwya8bCPPy5VGUKkXk7JzKxACVHMQen4vvrcJ3xXIcR48G4G6r1sS9Qb1pSzruXh60a9GGe0IEZ/adJPmU2NbIx8KMzk4qZgSF56s2D8De3YoK9Vy5fiyUq0ceFqXZryWCRMLAH8Xv2+GA3BdX9IWzpTNrOq0BYPDuwS+t0Std6kMEQUrwg6K1q0DUfBd8GsGuLyHqqf3ONub83rcGp4Ni+XrjZaO5t/BQWXAv6s1p6VZY9BYaiouL09dQJRjh8eOZdE2T02xCjyRnxqPNUKNJMTVXLlZGHAK5JWz9EDaNNrQ1OXD0VOLsY226GTQg9oNEpc2w76bl2Gcpt+Q9//c4F3GOoPggnMaOofTWLShKlyZ04iTutGiJOqngfblMGB/1m7xFhQoVOKy4RsiGK2hSxDKZoZ5izdPasPw3om4+sCIAB5ffJORGjP6Nfc1x9i1N436DubB7O+H3Xp5K+Sr4OfhxoNcBLGWWdN/SnYuRF/M8ViazRqtV88CYnDxBgL4rQKGEObUhOUq3q2FZRyZ3rsTasyEsO3nfgEY+JTnDdI8DhXTyfvzxR1avftqctWfPntjb2+Ph4cHFi3l/cE3kE61G1wz9SbqmWQGaUpswkRvWjk5kaTLI1GagTkjPpuJmooiRmcEnj9XuLgSIzp6R4d/Mk9TETFITTSmbhkD1uIVMbEBArqvh75QXFRjf3/s+AGblylF6+zbs+vdHnZBAYKfOpN/Ov4qfCeOlSxexJ+5K86PEbhadjzq2VjjIZYy/+SDf0RKpTMLwGY0B2DzrAlmm+rwc1OrYBTs3d3b89nORR6EcLRz5q/VfAAzYMYCQxLzTrStWFFs9pKUZUXaFuS2889jx3DIu264hDUvRrrIrU7Ze41xw/hciiorKbrYERZtq8grl5M2fPx8vL7G+ZO/evezbt49du3bRvn17PvvsM70aWCJ5VnjlSWpGHr3QTJjIL1a2KkCM5qHRojbdzBcvFir44vEq59klcG6ZIa3JgUcFOwDO7jaOldiShiAIuH0v3tglHz+eY7+70h2VmYrQ5FCSMpJ057hOmojvmtVIlFYE9elL1N9/m9L8X3MsLS11rWeuXr5C6hUxajLUwxGAHVHx+R7LzFJO32/qITeTcnDFTf0b+5ojlclp3G8wMY9CuHpof5HP56Z0Y3PXzdib2/PenvcISw7L9TgX5w5IJBbGlbIJ4FUXOs2Em9vhWvYWWb/1rUE1LxXv/3OW6CTDtuTRojWa1FFDUignLywsTOfkbdu2jV69etGmTRs+//xzTp8+rVcDSyRaDbqavMeRPJPoigl9YK5UotGqSc1KQpOUgdaICqVLBBYq+PKxoMKWMU8XcYwAa3uxnUTY3fzfQJrQLzYdOwAQNumbXPf/0fIPABZdyX7jZ1a6NL6rVqNs2YLIX2dwv/8A0u/cKVpjTRQpffr0oUK58vyruEJowGW0Gi2f+LpgJ5My7EpQgcayd7eiQbcy3DwZZqq7zYWydRrgXaUqu+fNIi48d6dLn5S2LU1A+wCytFkM3zM8V0dPJrPG3v4tIiJ2odEYWephrSFQsRNsHAVxT4VkFDIJc/rVICopnY/XXERtwGyhGt52hCeY9AcK5TnY2dnx4IH4xu7atUvXxFqr1ZqEV/TC8zV5gihja8LEK2LjKIonpWUloxUgy9QAu/gxt4WOv4rPp9gZ1pbnKF/XhfB7CWSZmsgaBImZGarevcl89IiE3Xty7Pd38gfg2KNjOfZJlVZ4/PQTXn//Rer58wR26kxg585oH7c+MvF6IQgCbdq1BWCd2UmSjj1EEAT6uolKuPuiC9aSxb+ZJ34N3TgQcIMH10z1ec8iCAJtR30MwO55s4rFMfCy8WJZ+2UkZSQx7t9xJGTkfD99fUaSnh5KePjWIrenQAiC2FZBbgHrh4Hm6e+Fm60Fy4fX49idKKbvvG4wE0s5WpGUnkVUUsnOWCqU59C9e3f69etH69atiY6Opn379gCcP3+esqbascLzWHNFfP64hYJGgyCVIOTSN8/YaN++fbZaTWPn4MGD2T6vSqWSR48Kt8r566+/Mm1aTsEEY0MileLsWxotWlIy4tGmZqFJK9wq4a1bt6hfv76eLSwh1B729PnVjYaz4zmeNE4OvWOK5hkK5/GfABA+fXqu+2s41+Ba9DVSs3Lveals3Jiyhw4CkH77Djf8q5J+716R2GqiaHFwcMDc3JwUIZ2bO86Rfi+er0q7ATDgUiDqAjojjXuXB2DLbxeICTXVKz2LjaMT7T74mJDrV7h2+N9imdPVypU/W//Jw6SHfLDvA1Iys6tB2tjUACAqunjsKRCW9tB7GYSchiMzsu1qWNaRr9pX5O8j99h43jBtXlQWcgAexb35vYFfRKGcvJkzZzJmzBgqVarE3r17USqVAISGhvLBBx/o1cCShKDRIjy5aD8WXkGt5ui5c9SvXx9bW1scHBxo0aIF9x7/aH/77bcMHz7cQBZnZ+fOnfR+LB7wOpKUlIS7u3uBz0tPT2f27NmMHp1dNfH48eMIgsBvv2WXRT948CASiQSlUom1tTX+/v5s3pw9tz0/TJ8+HScnJ+zt7fn888/zXH3UarV8/fXXuLm5YWdnR5euXQkLDyddnYqgkDJyxAjKli2LIAgcPHgw27mxsbH0798fR0dH3N3ds/0t5cuXx9XVla1bjWyV8XVAEGDi455XawdDcrRBzXlC+XouAFw5bFLZNBRSGxsc3nuPrNBQ4nP5bn1U8yMkgoSFlxfmOYbcxQW/G9dx/fZbAALbdyD8p59NDdRfQz78UBRpOiK/QcSfF5FmqPnNzxuArRFxBRpLrpDSa0IdAFb+778Sn8r2PJWbtqRsnQYcClhEZlpascxZwb4C81rN407cHcb+O1ZXbwuP63TdehIRsQO12gidFZ+3oPF4OPgDhF3JtmtYo1L0qOnJF+sucykkrthNc1dZAJR48ZVCOXlyuZxPP/2U2bNnU6NGDd32jz/+2GgcjtcRiUaDJu7JB1KM3MXFxtHzgw/4/PPPiY2N5f79+4wdOxZpPoVYsrKMLJf7DWTz5s3Url0blUqVbXtAQAB2dnYEBATkOKd06dIkJSURHx/PqFGj6NOnDzEx+U+h2bFjB3PnzuXkyZNcu3aNnTt3siiPRsobNmxg2bJl/Pfff4SHh+Pg4MDUn8V0wfikCKpW9OfP3+dRunTpHOd+9NFHaDQaHjx4wNGjR5k1axb79u3T7e/bty8LFizIt90mnkFmBm1/EJ//XDpb7yFDYaFUABB4PtLAlpRsnMaNRWJjw6PPPkedkD2Nq6ZLTZp4NOHPS3++dBy7Pr2pcP4cyhYtiFmyhBtVqxE1/+XnmTAeLCws6NevH/GSFALMDhO/8x49XcQ075HX7ue7b94TnLytaT5AbK3wx6gDerf3dafZu8NITYjn4LLi+12r6lSVea3mcTnqMqP3jyZD/XQxxtVVVFoNCppbbPYUiCafg0NZWDcE1E/vNwVB4Ifu/pR3VTJ0yRnuF7Oz5Wor1phfD00s1nmNjXw7eVu2bCHzcW7/li1bXvgwoQceR/Ju372DmUJB9+7dddGfbt264e3tzcGDB/n+++9ZunQpSqVSlzYrCAJz5syhVKlSNG/eHIC5c+dSrlw5HB0dGTRoEMnJ4hcuNjaWdu3a4ejoiJOTE++//z7p6WKd1pN0xm+//RZ7e3tKlSrFiRMn+PPPP3F3d8fDw4MdO3boTG7WrJnOofn222/p378/PXv2xNramnr16umijwBbt26lbNmy2Nvb87///Q9fX1+OHj2a+0shCMydOxdfX19UKhV//vknx48fp1KlStjZ2TF16lTdsWq1msmTJ+Pj44OLiwvjx4/XObpqtZoPP/wQBwcHKlSowMmTJ3PMExIiphZs27YNf39/rK2tKVeuHGvXrs3zrdq1axeNGzfOti0zM5M1a9bw22+/ce7cOW7dupXruRKJhMGDB5OWlkZgYGCeczzPsmXLGDFiBGXKlMHV1ZXx48fzzz//5HpsUFAQjRs3xtvbG4VCQa9evbjzeK4sbSaD+vWjcbUGyOXyHOdu376dr776CgsLC0qXLs2wYcNYsmSJbn+TJk3Yv3+/aTGhsDT4AHo8jsjMqQ2xhle2fKuHmMJ8zqSyaTAEuRzP2bMAiM0lBb6KYxUAJh2b9NKxJBYWeP0xF9/VqwCInDWLiBkzdaJeJoyf8uXFNMt0IYuo/4LJfJTMMv9SQMH65j2hUqOnGSvH1psEep7F1tkVgEv7dpGRWnzNtGs412BOizmcizjHJwc/IS1LjCTa2zXA3NyDuLgzxWZLgZApoMsciLoFR37Ntkshk7BoUB2szKR8uOpCsQqxyKXiPbShVT4NTb6dvK5duxIbG6t7ntejW7duRWZssZORAo8uFO0jI4+LyOMavNIODmRkZDB8+HD27t1LwjOrus2aNWPChAkMGjSIpKQkdu7cqdu3d+9eLl68yJ49e1i7di3z589n3759PHjwgMzMTCZPngyARqNh9OjRPHz4kEuXLnHmzBnmzZunGycoKAhra2siIiIYPHgwvXv35ubNmwQFBTFt2jRGjRqV58u3ceNGPvjgA2JjY6lQoQLfPk4dioiIoF+/fsyZM4ewsDDS0tJ4+PDF6WFHjhzh2rVrbNy4kY8++ohff/2Vo0ePcuLECb7//nudgzRjxgyOHDnCmTNnuHnzJufOnWP+/PkA/Pnnnxw4cICrV69y4MABVq5cmed81tbWrFu3jvj4eGbPns2QIUMIC8tddevy5cuUK1cu27adO3cilUrp27cvTZs2zTWaB6LjuXjxYqysrChbtizBwcGoVKo8H8HBojLjtWvXqFq1qm4cf39/rl69musc77zzDrdu3eLevXukpqaycuVK2rRpg2sZ0eZUdaJYC5rHBfjZlB6tVpttHjc3N6RSKXfvFm0j2Tca/3eg8+M02L+bG9YWoHorUTn5xEbTe2pIrBo0QNWnN5EzZpIZGppt33tV3wNg051N+R7Pwt+fChfOY16lCtF//UVQv36kB5pq9V4Xxo8fj1Qq5YjVTWI33aalvbW4/eaDl5yZOx/ME681F/YG8+C6SYjlWYb/Li68/T22eDPT6rrVZWK9iRwKOUSd5XVQPxY0cXN7h4TEy6jVxZNCWmC86kKjT+DwzxB2OdsuZxtzfn6nGpdC4pjzb/EuKNiYy8gq4f2A8+3kaTQanJ2ddc/zerxR6ppRt+CvpkX7iHoa4VFLpQiWZuI/HkfybK2t2bNkCenp6QwcOBAnJycGDBhAYuKLQ9BffvklNjY2WFhYsHDhQr766it8fHywsLBgwoQJrFu3DhALuzt37oyZmRlubm6MGDEiW0RNqVTyySefIJPJ6NWrFw8ePGDixIkoFAp69+5NcHAwcXFxudrQsmVLmjdvjkwmo0+fPly8eBEQUw3r1KlDu3btUCgUfPPNNy8Vlvn888+xtLSkefPm2NjY0L9/f+zt7alYsSJVq1bl0qVLACxcuJDvvvsOJycnVCoV48eP1/2ta9eu5ZNPPsHV1RV3d3fGjh2b53xNmzalQoUKSCQSOnTogL+/P2fO5L6SFhcXp6tLfUJAQAA9evRAKpXSp08fli9fnm3/vXv3UKlUODs7s3TpUtavX49KpcLb25u4uLg8H97eYi1GUlISNjY2uvFsbGxISkoiN1xdXalbty6lS5fG2tqaq1ev8s03okS7jZMzGq0GtUKNVqNFk5X9+9uuXTumTZtGUlISt2/fZuHChboo8BOsra2JjzcJdbwStQaJKS8p0fCtrUFNEQQB93IqAK4dM8mtGxLHDz5AsLAg/IfsIiwSQUJbX1F58ULEhXyPJzE3p9S6tfgELEMdF0dghw7cHzzEFNV7DbC2tqZt27YEqyO48fAOKf+F0dZR/A0ISy+4gqogCLz7/VsAHFx+g5QEU73mE2ydxdrktMSEYo3mAfSu2BtnC/Fee+rJqWi0Glxd3kajSeOBsfXMe5ZmX4JTBdjwPmRl/yzVLWXPuJblmL3/FifuFl/9eWknJaHxRljLWIyYdPlfhGN5eP9Q0T4cy+umU0ulCJInzo6A9nEKXOVy5Vi2bBlhYWEcP36c48ePv1TJ0dPTU/c8ODiYESNG6KJBjRo1IjJSrLlJTEzk3XffxdPTExsbGz755BOio59+CR0dHXUOmIWFBVKpFHt7e92/gTydCxcXF91zS0tL3XFhYWHZ7LOwsMDBweGFf8+TBYYnxz//7ydjBwcH0759e93f2r9/fyIiRIGL0NBQXX9HINvz5zl69CgNGzbE3t4elUrFmTNnsr0uz2Jra5vtNUhISGDr1q06EZoePXrw4MEDjj/T4LhUqVLExcURHR3NqVOnaNu27Qv//udRKpXZoroJCQk5HM0n/O9//+PatWtERESQmJhIkyZNGDRoEAAW1uJNQuJj4Q9NUma2yN1vv/2GXC6nbNmydO3alf79+2d770D8DNnaGtYxeSMYdeLpcwM7em9/VB2AI6tyTzM2UTzInZ2xad+OxD17yHiQPWIzqb6YqplbO4WXYVm7NqU3b0ZRtgwpJ09yo3IVUvPIBDBhPNSpUwdra2sOKK4Suvk6n2ktAXj3cv5T/Z/F2t6c/lPqk5qYyYZfzpKeakq7f8Kgn+cAsPfv4q+F299rP5MbTGb97fX8euZXLC19sbIqx/3gvMWWDI7MDLr+ARHXxIjec4xtUY76pR0Yt+o8kYnFk0Lp62BJegnvBVwoJ2/cuHE5FAMB5syZw0cfffSqNhkPCktwr160D4Vl7nMLQq6rq7Vq1aJ79+5cuXLl8WG5R8Ce3e7h4cHSpUuzRYSeRGNmzJhBZGQkFy5cICEhgRkzZhS54parq2u29My0tLQ8HaiC4uHhwYEDB3R/Z3x8PNeuXQPE1MIHz9woPXiQd5rLwIEDGTRoEGFhYcTFxVG7du08Xxd/f39u334qmrFu3TrS0tLo1asXrq6uVKpUCY1Gk2fK5rMEBwejVCrzfDxJ16xUqRKXLz9Ni7hy5QqVK1fOdcyLFy/Sp08fnJycsLCwYPjw4ezfvx94+jnRqNUIUgFtpgbtMy0V7O3tWb58OWFhYVy9ehWNRkPdunV1+8PCwsjKyqJMmTIv/dtMvASZAr6NBysn8d9rhxjMFKlUQvl6LmRlakhPMfVZMyTOn36KYGlJ8NBhaJ8R2bA1s8XP3o/5F+cXalyJuTlltm3Dbdp3AAT1eIfwH3/SLS6aMD4EQWDgwIEALDc/gt26QBrZWHEpMZWErMJFY1XOlnT8oCrxEalsmXUeTQlPb3uCo7cv9bv35saxQwRdOl/s879T/h0+r/M5/1z7h1U3VuHi0pmsrDgyMqKK3ZZ841YNGn4o1uY9upBtl1QiMKtPdbRaLZ+tu1gsnzNBELgVZhJeKTDr16+nYcOGOba/9dZbutQ4E4XlaQsFTUoKNwMD+X3ZMl3/tlu3brF161bdjbazszP3799/oWM2dOhQvv/+e13dVGhoKLt27QLEKIylpSW2trbcv3+fP/74owj/NpH27dtz6tQp9uzZQ2ZmJlOnTtWbYzl06FAmTpxIaGgoWq2WoKAgDh06BIi1aTNnziQ8PJzQ0FDmzJmT5ziJiYk4ODggl8tZv349Z8+ezfPYdu3aZUtxDQgI4KOPPuLixYtcuHCBCxcusHjxYtasWaMTL8oLb29vkpKS8nw8SdccMGAAf/75J4GBgYSHhzNjxgzefffdXMesXbs2a9asISYmhoyMDBYtWoS/v//TA2Qy0tLTycrMJFObRVJ4Ahq1eDN5584dYmJiyMrKYseOHfzzzz98/PHHulMPHz5MixYtkMlkL/y7TBSA8bfAzheubjBoRK96S/Gzdni1KZpnSGR2djh//DGZDx4Qtzb772umRrye3Ii5UejxVT16UOHsGcwq+RGzeDE3qvjniBqaMB6ezWK5k/WIrw+JWgnvXQkq9JgeFexo+14VIu4nMu8Dk+LmExr07AfA+mmTDNJuYoDfANr4tGHaf9OYFygu6t65mzNKZlQ0nwiuVWDjSMjKHrFztjbn557VOHgzkkXHir4eWGkmw8Yip6BcSaJQTl50dHSu6Vk2NjZERRnxKoOx82xQThAQFAqUVlacun2bWrVqYWVlRatWrejYsSNffvklIDouSUlJ2NnZ0alTp1yH7du3L8OGDaNjx47Y2NjQtGlTXXTrww8/JDQ0FDs7O3r06FEswjkuLi4EBAQwatQoXFxcUCgUuLi4YGZm9spjf/bZZzRo0ICGDRtia2tL586ddRG7ESNG0KRJE/z8/GjWrBl9+vTJc5zff/+dcePGYWdnx+7du2natGmex3bp0oVTp04RHx9PSEgIR44cYdy4cbi6uuoeffv2xdzcPJs4zqvQsWNHRo0aRd26dalYsSJt27Zl6NChuv1KpZIjR44A8MUXX+Dr64ufnx8uLi5cunSJhQufpn30GTSEUpX9uXvvHh17d8G2lCP3rokF0qdOnaJSpUrY2toyZcoU1q9fny0Nd+XKlbz33nt6+ZtMPEYigXEXnv77txp5HlqUOHlbI0gEwu7Gm/ppGRi7Af0BCJs8Odt7Ma+VKJI19eTUXM/LLxIrK0pv2IDD4+/y3fYdiFm61PS+GymTJ0/G1dWVQ2bXkEXG4JCu4VBsIsGphU+DK1vLGbm52Jpp7Q+n9WXqa41EIqXZu+J34t754le3FASBX5r+AsDOB8fQyJxITw8vdjsKhEwBb8+B6Ns5mqQDNK/gTL963ny3/ToXH8QVqSkedhYkppXszARBW4ireJUqVRg5ciRjxozJtv33339n3rx5OgfCGElISMDW1pb4+PhswhVpaWncu3ePUqVKYW5uXqw2RYVF4Kh5SHyyFeYyATOzJHDxR52SSsb9+5hVqIAkF3n7N4Xk5GRUKhX3798vVDNyY+CXX34hIyODCRMmGNqUQhN2V0w5dXTwQpOchdzFEkGW9zrQ7du3GThwICdOnHipcI4xYcjveoHQqGGKWP/KqOPgkns6blFy/2o0236/iF9DN1oM9Cv2+U08JeKXX4hesBCf5QFY1qql2z7+4Hj23N/DyX4nsZJbvfI8GSEPCRk1kvTb4kKP/eDBuHz5xSuPa0K/ZGRk8Pvvv6OI19JUW482LazxMJNz9q1Xu07MHfkvAO9+/xbW9kZ8fSwmtFotM/p0BmD86m0GsUGj1fD10a9JjtxIF1UmTZtcQCazNogt+WbnF/DffGj/E9QbkW1XRpaGd+YfJyk9i+1jG2OhyF/f54Ky8lQwX224zN3vOyCVvD73KPkhL1/meQoVyfvkk0/4/PPPmTx5MocOHeLQoUN88803fPnll9lSuUy8As/U5AmSN08fZ/fu3SQmJpKSksIXX3xBjRo1XlsHD+DTTz99rR08AKWd6FBIlHIQQP0StbVy5cpx8uTJ18rBe62QSGHM4zTheW/BgR+K3QSfyg406FaG68dC2bfEeBfvSgJOH3+MzN2N+E2bs20f6i9G8H8+rZ80LoWnB6W3bsV1sqjAG7NkCY++moD2JanmJooXhUJBy5YtiZYkEaMW2/s8TM8kMuPV3qfB08VSnL2LrurS9ksygiBQr5soonZup2H6QEsECd81/I4Mc9GBP331S4PYUSDafi/+f+fnkJ5dnE8hkzCjVzUexqby/Y7rRWaC4nGvvNiUkqscWyjvYejQofz6668sXLiQ5s2b07x5cwICApg3b54pdeuVeVKTJ6B+kvr6Bjp5Bw8exMfHBzc3N65du5YvURITRYtMoRCfCCC1NUOTkokm3SStblAcy4o1DgCHpsPZJcVuQo023pSv58LNk2Hc/C/3XpEmih5BKkXVtRvx27ejfkZZt7KDeOO3/vZ6vc5n17cvFS5eQNmsGQnbtnGndRvit2/X6xwmXo1q1aphaWnJQcVVlh2Lx1wQmHzn1dqeWKnM6PJRdULvxPPflsKpdr5pNOw9AIADS/4iy0CLHVKJlJltxPuke+H7eZj04t7CBkcihWH7xOf7p+TYXdbZmg+alWXZyfscvhVZJCZ4O4jChg9iircNhjFRaO9h1KhRhISEEB4eTkJCAoGBgXkKP5goALrkWQFNmtj48k2MlPzwww/ExMQQHx/Pv//+S/ny5V9+koki5unnTGIpQ5BLUMenm+pyDE3Tz+BLUVWVrR/C7X3FOr0gCLQaXAkzSxmHV940re4bEFXPd9BmZBC3fkO27Y09GgOQkqnfmxmJmRle8+dRavNmssLCeDT+U65X9CMzzOTsGwOCINCvnygOcizrAGNvpbM5PJYHaa8WufCsaE+t9j6c2x3MvYtFcwP+OiEIAh3GfgrAPgO0VHiChUxsW+Uiy6Tj+rZEpRq5BoZXHVFt89SfOZqkA4xtURYbcxnvLjrFnQj9q2C6WIvpxmHxRtpEvhgotJOXlZXFvn372LBhg+4m8NGjR3n2TDNRECSi8Iq0aPKUTZjIlcc+nlarRRAEpCoztBlqNCklu3DZKDC3FevyAJb3gP/+KtbpBUGg1ZBKZKSpObTSpLZpKORubth0aE/ssmXZWh0MrSKmbM44m1PoQB+YlS5FxUsXkViJNX9327Qlbv2GbC0dTBgGT09PnJzEtisNQ6JRquGv4IhXHrde59K4lrbl4PKbpkbpgF+jZpRv0JibJ46QEPXqr29hqVljOQC1LNWM3T9W7ws7eqfFJDCzhfmNIDO7syWRCMzpVxOA8Wsv6X1qR2sxO+lhXMltiF4oJ+/+/fv4+/vTpUsXRo8erWus/eOPP/Lpp5/q1cCSwLNxEiErHdCgycxEkMuRWObRR8+ECT0jkD1iLDGTIbGQoU5IR2vqnWR4XCrDR2J/THZ+Bnf2F+v0vv6OAFw7+sgU3TUgDoMHk/noEVF//qnbVtu1NgCrb64usps+QaGgwtkzlP/vJNatWhL69dfcqFQ5R1TRRPEzYsQIHBwcOGB2gR5B6SwPiSIu89UW5wSJQLv3q5CSkMHiz4+SmWFK3W/93mgEiYTDy5cYzAaVqh4AA0vV40r0FT4//DlZGiNeiJXKodvjXp65pG02Ke/E1C6Vufggju2XQvU6taVCbO2kLsH3L4Vy8j788ENq165NbGwsFhYWuu3dunXTNVk2UXC0z/w3/eZNNGlppmieieLjiY/3zA281NYMNKBONK3kGgUqLxh7Tnwe0B1SY4t1+paDRIXNC3tNfdQMhXmlSljUrkVswPJszvaSdksAqLeiXpHOL7W1xWPGDDxm/AogOns1apqiegZEJpPRrFkz0jPTKZd5jyyNloWXQl55XCuVGc36VwDg6Jrbrzze6465lZIWQ0Zw8/hhbp86bhAbBEHA02Mg6oRjzG72K4dCDhm/o1exA6i84eRcuLkrx+4B9X2oX9qebzZfIS1Tv4sJKks510ITXn7gG0qhnLwjR44wceJEFE+EGh7j6+vLw4dGXgz6uvEGiq6YMFZELy9bZFkmQWotR5OUgTbTdBNnFDiUgYGbxOc/+kLwf8U2dYV6rgAc33Cn2OY0kRP7d99FHRtLxt27um21XJ62VXjSJL0osenQgYqXLgKgTU0l+N1BpN8r+gbHJnLH398fHx8f7offoM2jNBZFxpCa9eo3zJUbe9C0b3muHX3EtWOvJuryJlC5SQsAtvz6vcEyGpyc2gAaKltkMbPZTPbe30udgDoGsSXfvHdA/P+BadkWkkF0XD9rW5Ho5Awa/KDfQJFUELA2l+l1zNeJQnkQGo0GtTrnxSMkJARrayPv3WHECCCGtmUWz2wsGtEVpVLJo0cvv2B/++23DB8+PM/9Dx8+pHr16mhK2CrupEmTmDNnjqHN0CtPP2rZL8ASpQIkErLiC99o14SeKdNcbDgLsKhNsU0rSAR8qjgAkBRbcovZDY3VW2+BVMqjL7JLqf/cVGyj8Nu534rFDkGhwO/GdbyXLCYzLIzA9h241aixqd2CgejZsycAytCjxCgEAg7efckZ+aNyEw/K1HDi4PKbJESV3PomEFtaPWmpcH6XYfrm2dk1QC635+HDlbTyaUWHUh3I0mbReWNng9iTL6wcodcyCLsEl9bk2F3Lxw4HKwWxKZlceRivt2nLOCm5HV5ytUIK5eS1adOGWbNm6f4tCAJJSUlMnjyZDh066Mu2Eofu1lryNEVTHRfH4cOHqV+/Pra2tjg4ONCiRQvuveKKaVJSkl760k2fPp1Ro0YheS7iWKFCBWrWrJnjeF9fXywtLVEqlbi5ufHhhx+SlVWwNIPTp09TtWpVLC0tadq0Kffv38/1uODgYJRKZbaHIAisXy9KjY8cOTLbPoVCgb+/f77OHTduHD/99BOZb9TNzBPllee2SgSktgq0aVlo0ow4JaSkUXPgU0fvxB/FNm25Oi4ABEw6WWxzmsiOVKlEam9H2q1baDKeplK3820HwJKrS4rVHqv69Sm1aRNSe3vUUVHc8K9K4sGDxWqDCXHxtl27dqhSk6mTms6C1ERS7rx6SrcgCDQbUBEzSxm7/rqCpgTXOAG81UtUNL2we5tBonliyuYAYmOPk5mZwI9NfsRD6UFQQhBfH/262O3JN5XeBr+3Ye83kJGzdvjEVy2p4GLNh6vOk5Sun3sNB6WCiMSSu0BdKCfvl19+4dixY1SqVIm0tDT69eunS9X88ccf9W1jyeK560V8YiJdunTh888/JzY2lvv37zN27FikRlCrl56ezqpVq3Srh084deoUjx494sqVK1y/nrPR5Z49e0hKSuLw4cOsWbOGv//+u0Bzdu/enXHjxhETE0OjRo0YMGBArsd6e3uTlJSke+zfvx8rKyvatRNvhObPn59tf8uWLenRo0e+znVycqJy5cps22aYlbwi4Rl1zeeRWMgQFFLUcaaWCkZFjcef/d1fQVTxpFBWqOeK0s4MdZaGlVOKL1XURHbc/jcFMjNJ2L4j2/beFcQoQ6a6eBegpEoryh8/hvvPPwEQMnIU1yv6maJ6xUzdunUBcL95ivtKKZs3X9dLv1NzKzlthlcmMjiRQ8tvvPJ4rzMSiZRe33xPbOhDds+bbRAb7O3FpvXBDxYAsLP7TgC23N3C+YjzBrEpX7SeItaS7/s2xy6FTMIvPasRGp/GtO36aZJe2d2Ge1HJehnrdaRQTp6XlxcXL17k66+/5uOPP6ZGjRpMnz6d8+fP4+zsrG8bSx7PpGjeefgQMzMzunfvjkQiQalU0q1bN7y9vQFIS0tj9OjRuLq64u3tzZQpU7KlTv7222+UK1cOa2tr6tatS3R09OMpBEJCxMLsbdu24e/vj7W1NeXKlWPt2rX5MvO///7D3d0de3v7bNsDAgLo0qULrVu3ZtmyZXmeX65cORo3bszVq1fz97ogNlE3MzNj+PDhmJub8/XXX3P27Nl8RTaXLVtGt27dsHosA/4sYWFh7Nu3j4EDB+b73CZNmrBrV84i4teV59U1s+170lIhS4Mm2XTTZjQIAgzcKD6fUwtC9S9DnRsDvmsAQMyjZO6eN5yceElG2bwZAHHPXa87le4EwIbbhlG9tO3cmfKnT+n+fcO/KumBpqbaxYVEIqFLly64JMTgmZrEch8FkfMv6mVsr4r2+Df35NqxUC7uL9niS16VqwJw9dA+UhL0l16YX1QqUVE3KEjs2ycIAqf7n6aOax0+2PcBd2KNtG7avhS0/EbsnXcu5/2hv6cto5uXZeWpYA7cePXfFldbsfyppDp6BXbyMjMzKVOmDLdv36Z///789NNP/PHHHwwfPjyb0qaJV+HpzXaltxqSkZHB8OHD2bt3LwkJ2VWCpk6dytWrV7l+/TpHjx4lICCAf/75B4Dly5cze/ZsNm7cSHx8PPPnz88hlgNgbW3NunXriI+PZ/bs2QwZMoSwfDS7vXz5MuXKlcu2LSsri9WrV9O7d2/69OnDihUr8oz83Lx5kyNHjlC9enUAOnXqhEqlyvUxffp0AK5du0bVqlV1Y1haWlKmTJmXOoqZmZmsXr2ad999N9f9K1eupG7dupQpUybf51asWJFLl4rnprpYyKMm7wkShRSJlRx1QgZaU0Ns46FMC+j8uAbrz8aQrv+mss8jlUoY9MNbAOz684qpj5YBEAQBmbsbqefOkXbzae/Cak7VAPjuv+8MFnWXWlvjd+M6Ll+JNYOBnToTu3KlKQugmKhRowYC4Bd4jTMOMi6nppERop/rQqOe4m/+f1sDSU0q2d/7EfOWYmZpxeGARQa1Q6MR3wdzmTkzm81EIkj46OBHRKQY6QJc/VHi/7eMAXXOtMwPmpWhcTlHvlh/6ZXVNltXEssLDt000teiiCmwkyeXy0lLKxkF96lZqVyLvlakj9Ssp0XMErSgyUT7jJOncrDn8OHDpKenM3DgQJycnBgwYACJieIFe9WqVUyePBk7Ozu8vb0ZP348K1euBGDJkiV8+eWXVKlSBYlEQs2aNXMVxmnatCkVKlRAIpHQoUMH/P39OXPmzEtfn7i4OJRKZbZte/bsISMjg7Zt29K1a1fCw8M5cuRItmPat2+PSqWiffv2DB48mKFDxUa+27ZtIy4uLtfHl1+KNwtJSUnY2NhkG8/GxoakpBcX1u7cuROFQkHLli1z3b9s2bI8o3h5nWttbU18fPGv4BUdj9U1X3AfJrURFwnUppt646LWoKcRvcXtoRiEkJR25vSaICq6Lf78aJHPZyInnjPE5udBffvqtgmCwPha4wE4+OCgAax6iv2gQVQ4dxZl8+aE/W8KIR+MJutxX10TRcvw4cMpFRWKKjOd5eUtiFp6VS811RKJwMDvGiCRCmz4+RxZepa8f51Q2jtQrU0Hrh7aT3RI8Uc269bZCkBM7NN2DrZmtqzqtIqUzBRarm1JeHJ4sdv1UiRSGLpbfP7fvBy7BUHgo1bliUhM56ddN19pKlsLuW7MkkihdEVHjx7Njz/+yIIFC5DJ3lxp0nvx9+i9rXeRzrG602qcEJsMm2nSQSB742lBoEqVKrq0x7Nnz9KzZ0+mTZvG9OnTefTokS51E8DHx0enmhkSEkKpUqVeasPRo0f54osvuH79OhqNhuTkZF1a54uwtbXN4VwFBATQtWtXFAoFCoWCDh06EBAQQJMmTXTH7Ny5k0aNGr10/NxQKpU5opkJCQk5nM3nWbZsGf37988hEANw9epVrl27Ru/eub/XeZ2bmJiIra1tAf8CI+YlkTwAQSpBaq1AHZ+OxkqORGH42lATjynTAqr1hYsrYWFreK/oe5Y6eVsjN5OSma4mLTkTcyt5kc9p4ikWj7MgtCkpZIaFIXcVW1wMqjyI387/xo+nf6S5d3MDWggSS0u85s4hJmA54d99x+3GopR6xcuXEOSmz0tR4enpiX/lStwMvMbOCjXoaK6l6YobOA6p/Mo3vDaOFrR/359NM8/z59hDjPqjORJJybyJrt+tN+d2bOHU5rW0H/1Jsc6tVPphYeFD8P2/cXRoptvuZe3FH63+oOfWnnTa2Inj/Y4jlxjZd827vijCsmcieL8FnrWy7a7lY8fHrcozc98tulR3p5qXqtBTmcslXC+hvfIK5aGdPn2a/fv3s2fPHvz9/XPUOG3YYJhaAH1TyrYUqzutLvI5kqKeS6N41sd7TmClVq1adO/enStXrgDg7u5OcHCwLs0wODhYp5rp5eVFUFDQS20YOHAgX331FYMHD0ahUNCgQYN8pdX4+/tnE01JSkpi8+bNSKVSdu4Ui4CTk5ORy+X8/vvvmJmZvXC89u3b54j6PWHChAlMmDCBSpUq8ccfT5UEU1NTuXv3LpUrV85z3Li4OLZu3crp06dz3b9s2TI6duyInZ1dgc69efOmTo3zTUDIQ13zeSRKOZrkTNTx6QiOFiV2hcwo6TYfkiLg7n5RcbPBB0U/5fiarPn+NEsnHGfE7KZFPp+J7JT/7yS3GjYidtUqnD/6CBBXrQdVHsSCywt4kPAALxsvwxoJ2A/oj3Xr1txpKn5Ggvr1x+PXX1A8s0hpQr907dqVK9Omcd/Dl2m1HKiyN5asH0/j9mXdVx7bo4IdlRq6ce1YKOd23ad2B99XN/g1RG5uTv3uvTm66h/qdnkHB8/i+zwLgoCjY0sePFhEZmYCcvnTLKeK9hX5uenPfHboM6acmMLUhlOLza588/ZvcH0LLGgB3+bMihrVrAybLz5k4qYrbBrdEGkhFxIEBCxK6IJ0oYRXVCoVPXr0oG3btri7u2Nra5vt8aZgIbOgkkOlIn1YyJ6rY9RCesTTFM6bt28zc+ZMXXTu1q1bbN26Vaeg1bt3b6ZOnUpsbCwPHjxgxowZ9OnTB4DBgwfz448/cu3aNbRaLefOndOleT5LYmIiDg4OyOVy1q9fz9mzZ/P1+tSvX59Hjx4RGytKNG/YsAE7Oztu3rzJhQsXuHDhAjdu3EAmk7F9+/aXjrdz585sipbPPiZMmABAs2bNSE1NZdGiRaSnpzNt2jRq1ar1wojl2rVr8fPzy9Uh02g0LF++PM9avRede/jwYdq2bfvSv+u1QefjvdjL04mwpKvRmloqGB/914GNp6i4+eDUy49/RZy8xRTwrHS1qebKAEhtbZEqlcT8k13EYHDlwQAsvbbUAFbljtzFGb8b1/H8Yy5Z0VHcbdOWh+M/NX1uigi5XE6jhg1peOUU0WiYXcEMdVw6mhT9iGc1H+hHlSYe/LclkBMb9dOT73WkaitRdXvNlAnFPreXp3jvEh1zKMe+dr7tGFVtFJvubOKPC8XXZiffWNhBw4/E58d/z7FbIZPw8zvVuPwwnhWnggs9TTUv2xLbRqFATp5Go+HHH3/k1q1bXLlyBWdnZ/744w8WL16c7WFCf1hbW3P8+HFq1aqFlZUVrVq1omPHjroatUmTJlGhQgUqVqxIgwYN6NOnD4MGDQKgX79+jB49mk6dOmFjY8MHH3yQa1+333//nXHjxmFnZ8fu3btp2jR/q/FmZmb07t1bp8YZEBDA8OHDcXNzw9XVFVdXVzw8PBg6dCgBAQF6eT3MzMzYuHEjs2bNQqVScfjw4Wxjjxw5kpEjR2Y750X1dgcPHiQ1NTXP/o55nRsVFcXly5fp3NmIm48WmPxF8gAk5jIEMynqRPHzpMlUkxWTlj3V2IRhkEhgqBhJZ2HrYpmy5WA/ALb+dqFY5jORHduuXdGmpKB+ZhHP1syWqk5VWX2zaLNRCoN1ixaU3rIFmZsbCdu3c79PX1LyubhoomA0b94cO3Um5hnpbPRSECsXCP1Bf4s/jfuUB+Dc7vsltlG6hbUNDXsPJCU+jqALxfs5trDwwsLCh+iog7nuH1VNFDmZd3EeJx6dKEbL8kmrb8HaHY7OgpSYHLtr+dhR1lnJpE1XiEgonB6IvZWCBzE5+/KVBARtAZbQpk6dyrfffkurVq2wsLBg9+7d9O3bl0WLDKssVBASEhKwtbUlPj4+m4BHWloa9+7do1SpUpibmxerTZFhEThpHpKeKEUA1Jmi7y21tkbh41OsthSUkJAQOnfuzNmzZ3Otd3tTmTRpEi4uLowZM8bQpugNdWYmkcFB2Lm5Y2aZs81EjuOTM1HHpiGYy9Cmq0GrReZggcTCuOt0DfldL1Z+LAWpMeBYHkYeA1lOZV19MnfkvwCMnt+iSOcxkZOM4GDutmmL/aBBOkVLgDU31zD15FRWdVxFZce8U9oNSeK//xLywWgAXKf8D1XPnqYUcD1z7do1FmzZxop6begZnMEX19Nxm1AXqc2LSyjyS2JMGv9MOI6zrw3dP62JVFZy7gWeoNVqWT7hE9SZGbz785xi/QzfuzeHwHszad7sGhJJzvc0MSORt1aKasgL2iygnlu9YrMtXySEwh/1oGIn6Joz4ngpJI635xyjU1U35vSrWeDhP1lzgW2XQrn1XXt9WGsU5OXLPE+Bvon//PMPf/zxB7t372bTpk1s3bqV5cuXZ+vLZuLVkT5WA5J7ehrYkpfj6enJ+fPnS5SDB+KCx5vk4AG6/oz5XfZ54sxp07IQzMR8d3VCyUyJMEo+DwSnihB1C5Z0yP8bW0hqd/QF4NKBkt0/yxAovL1x/uwzYv75h9QLF3TbO5QSMxS+OPKFgSx7OdYtWlD24AEUpUsT9s1kbtWqTcLevYY2643Cz8+PMtZWVIwJZ623ghALgbht+utdaG1vTtv3qhARlMDeRVdLZPqtIAg06j2AqAf3uXOqeCNmKpWochyVRzTPWmHNtm7bABi+Zzjx6UamCm7jJkb0LiyHc//k2F3VU8V7jUux7VIoVx4W3HZ7SwUZWSXTTynQnXlwcHC2tLZWrVohCIKuXsyEfhBkEgSFIofoigkTRUo+1DWzHS4RkDlbInOwQOYgRsS0mZoS+QNvlAgCjP4Puv0FIafhf6oidfRqthGzDo6svm36DBgA+8GDMPf359GEr9FmiC1OlAoljTwacT/hPmHJL+99aijkrq6U2bEdt+k/oElJ4eHYcUTOmYs2y1Tzqw8EQaB79+40uC62Rgpo4kDqpShSr75cRTu/lK3lTKvBftw9F8nRNbf1Nu7rhE81Mcq0Zcb3aNTF11pCpaqLTGZNWPiWPI/xsfHRCQk2WtWIDLWRtUGqKZYZsWUsZOZM+/2iXUXKOiv5bN0lsgrYp7eci6i+nlkC+/sWyMnLysrKkd4kl8tzrfMy8QpoS25PDxOGI7/qms8iUUiRWMgQBAGJpRiB1mZq0JTg3klGR7Xe4N9LfP4/Va51D/pAbialUkM3AG6cCC2SOUzkjSCV4jppIhmBgcQsX6HbPqn+JAB+OfOLoUzLN6quXalw6SLK5s2JmjOH4CFDSb9zx9BmvRG4ubnRsn49qj24zTrSuaeUEL3sGlo9Rjgq1Hej3tuluHQghJsnS941QBAE2o78EICL+3YW67wqVT0SEi68cIGtkkMlRlcXU6Onn5peXOblD4kURj2OgK7sk2O3TCphapcqXA9N4O8j9wo0tLlcDJiExpWMHt/PUiAnT6vVMnjwYLp37657pKWlMXLkyGzbTLwaWq1WFE8wYcIgFC4KI5iLF9KsiBSywktmkbPR0uNvUIo91PipFIRdLpJpmvarAMD5PYVXQjNReMyrVAEg4scfddvclWJLncMhhw1iU0GRKBR4zfsDj9mzSQ+6R2Cnzlyv6IfWtJj8yjRp0oTqD8QoW8+GYt11/J77eo2812rvi42jOfuWXCcuouT9DlRp3hqfqjU4vnYFaclJLz9BT7g4dyQ9PYy4+DMvPG5ktZF8UP0D1t5ay5qba4rJunziUkn8f+BBiA3KsbtBGQc6+rvx464bxKXkPxLp4yB+1sMTTU7eCxk0aBDOzs7Z2iUMGDAgRxsFE6+IFl19lAkTxUYBa/KeR2IuQ3im4F6TYYrmGRWf3oROs8Tn8xtBlv7TdSRSCZUbuxMblkLghUi9j2/ixQiCgLKFKHyTGfY0PbOmc01Ss1K5Hn3dUKYVGJu2bSj7TG3eDf+qRMyaZTiD3gAUCgWVvTxxTIwD4FIde5IOhxC79pbeHD1BEOj6iZi2uPybk2SVwKyONu+PJT0piSsHiq+21MWlM2YKFx6GvFzJfFS1UfT36893J78zvsWfL4JA5Q2rB4I6Z7r2x61FNddZ+/KfEuzrYAlAZAlso1AgJ+/5Vgl5PUzoAVMkz0Qx83RZoZCRPImA3NUKmZN4QTX10DNCag+BNtPE5985FUmNXu0OYs/KnfOLJlpo4sU4vv8eAA8//VS3bUazGQBsD3x5v1JjQmJujt+N6/iuXgVA9Pw/efjJJ6gTEgxs2etL//79GRlyDaeUBH72FLDtWoaUcxEkn9Zfzaa1vTlthotqrn+Ozdm/7U3HxsmZcvUbcn7XVjLTiyd6JAgCGZnRhEdsy5fD/mntT2ni2YTR+0dzM+ZmMViYTyzsoOcSCLsEC1rm2F3WWcmwRqVYeiKIa4/ydx2wNhdLSe5GFF9k1VgweRLGiFZrqskzUfwIBa/Jy3UYhXhZedJDz4SR8dYYsLAXn68bqvfhlXZmOHg+LnRPL3mr+IbGonp17AcPJvXMWV00z8HCgcoOlVl6belrKYpjUa0aFa9fw/nzz0nYsZNbdesRNmWqoc16LZFKpbw7YAC179/kekoGazzlWNZ0Jn77Pb01SQcoV9tF9/zO2Qi9jfu68FbPfiRGR3F2++Zim7Ny5VkApKa+PF1eJpHxfePvAXhn6zukZhlRj0OPWuL/Qy9AYs7Fhy/bV8TXwYppO67l63omlYj3NmbykufylLy/+DVAq8UUyTNhMLSv6OUJggAyCWi1qJMz0GSoTU3SjY0v7oFvYwg5k2tKzKvS6nFz9PU/vbg+xETR4DhyBAB3W7fRbeteTqyX33hno0FselUEQcBh6BA8588DIHbFCiJ++QVNeslLwXpVbGxs6OgiLvR8ffshya080aar9dokHeCDec3xrerIweU3SE00MjXHIsbBw4uqrdpzcsMqUuLjimVOezuxF971G1/l63gbhQ0rO64EYNrJaUVmV6H4/LG4yq8VcuySSyVM6uTHsTvRTN5yNV/DudqYm9I1TRgJr1iTJwgCISEh+rMnD5YvX07nzp1fepxSqSySNhtarZbatWtz//59vY9tzAwcOJBt27bpfVx9Ro9l9qIKrzo+g6yIFL2uEJvQE+1+gPhguLZJ70M7elrjXdme6IfJPLoTp/fxTbwYqUqF/aB30WZmErNCVNrsVq4bALPPzTakaa+MdbNmVLh4Acu6dYlesJC7bduRfPI/Q5v12tG9WzfG3D0PwA+PIrCo6og2U0PKZf3V0gqCQPMBFUlPyWLRZ0dfyyjyq/BWz36oMzOZ9/6AYplPLrdFKrUkLTX/vUqrOFZhRNURbL67mVU3VhWhdQXE0h6sRdEobu3Jsbt5BWcAAk7ez1dLBWtzGdFJJWuhAUxOnlHxtE1Z7uqaFSpUoGbNmsVq07M87zz279+frVu3vvS8pKQk3N3d9W7Phg0bKFeuHD4+Ptm2v//++ygUCqKjs/cAGjx4MGZmZiiVShwcHOjSpQsPHz4s0JyRkZF07NgRKysrKlSowP79+/M89tn5lEollStXzrb/1q1btGnTBqVSiYuLC3PmzNHt69ixo07kqF69epw48bS56vjx45k8eXKB7M4vgiDopU5LopCCVPI09bNk/ba/Hrj6Q+nmcGx2kdTm1e9aBoA9f18pcTd3xoDz558jdXQk4gdRKl0ukdPMqxkxaTFEpLze6XMSMzN8/lmK7+pVCAoFwYMHEz79R1NfvQIgkUh4p1EDmtw8z4bIeAI7eGFe0Z64TXf1uihnaaOgcmPx9/+PUQf0Nu7rgKWNLXZu4t8eFRxULHP6+IwkLf0RaWn5b2ExpsYY+lbsy7T/pnHogRHVUH5yDRzKwp6JOTJOBEFg65hGaLSw+FjQS4eyNpdxKyKxiAw1XkxOnhGizaUm79SpUzx69IgrV65w/XrxKqRlGekP58KFC+nbt2+2benp6axbtw6lUsnq1atznDNp0iSSkpK4e/cuycnJfPLJJwWac/To0bi6uhIZGcnPP/9Mr169iInJu+/Yk/mSkpK4evVpWkFaWhrt27dn0KBBxMTEcPv2bVq1aqXb/9NPP/Ho0SPi4+P5+uuv6dKli+5GuXr16qSkpHD+/PkC2Z5f9HU7LrM3Q+ZsYVKKNWYajhML3O/p/4fdycuaGq29SY7P4Prxktczy9AIUikOw4ahzcwk8/Fi1oiqYhpnp42dDGma3rCoVo0yu3Zi26ULMUuWcK9bd1IvXzG0Wa8NFStWZHhZLxwT4/j0aiC2XcugSc7k0ZSTep2nWf+KuucPbhRNn05j5d2f52Lj5MzBZQuLZbHL1aULAGFhBUvL/qLOFzhbODPm3zGcCTOSNHtBgB4LIeomnF6QY7e/py1vV3Pn5z03CU94scCNvZUZD2ONqO6wmDA5ecaIFhCyvzUBAQF06dKF1q1bs2zZsmz7Fi1ahJeXF66urvz111/ZzmnevHm2Y4cMGcJ3330HQHBwMB07dsTBwQE/Pz927dqlO87X15effvoJPz8/ypYtS5s2Ym1HhQoVUCqVHDlyhCVLlugck9TUVPr27Yu9vT329vY0btxYN9azEcBmzZoxefJkateujY2NDb179yb9mZqKKVOm4OzsjK+vL7///jsymSzXlygjI4MDBw7QqFGjbNu3b9+OlZUVX375JQEBeUsJq1Qqunfvns3xehlJSUls2rSJ//3vf1haWvL222/j7+/P5s0FL6xevHgxb731Fv3790ehUGBjY0PFik9/CCtXroxMJkOr1SKVSomMjCThGUW5Jk2aZHu/9IaeInkAEjMZErlUrM2LL3m58K8FpZuLEb1jvxXJ8HU6iUqbB5bdMEXzDIBdr54IlpbEPb5GVXEU++gZlcjCKyJIJLj/OB3fdesQzM0J6tmT6xX9TLV6+aRVixZ0SwjjZoaG1UmJIBUX5TJC9Bv1GPVHcxw8rPh36XVSEkpO2pxMLqfZoPe4f+k8Vw4WfUsFCwtPAIIfLCnQeVKJlA1dNgAwZPcQ4tPj9W1a4XCvDtX6wa4v4P7xHLu/7uhHRpaG6TtvvHAYqQQclGZFZKTxYnLyjBBtlvpZPXuysrJYvXo1vXv3pk+fPqxYsUJ3w3TlyhU++ugj1q1bx7179zh69KjuvC5dunD69GnCw8MB0THatGkTvXv3RqPR0LlzZ9q2bUt4eDiLFi1i4MCBumNBTIc8ePAg169fZ88eMSf65s2bJCUlZXPiAJYuXUpycjIPHz4kIiKC77//Ps+/b82aNaxfv57g4GCuXLnCisc1I1u3bmXBggWcOHGCixcvvrDu7Pbt21hZWWFvb59te0BAAL169aJPnz78999/BAYG5np+TEwM69evp3r16gBMnz4dlUqV66NTp066OZVKJZ6enrpx/P39X+gozpw5EwcHB9566y0OHXoaLTl16hT29vY0aNAAZ2dnunbtmiN1tFOnTpibm9OpUydGjhyZrQdlxYoVuXTpUp7zvgqmm/EShCDAW+Pg7n4I038ERG4mpXorLwDSU4wzI+BNRmJlhU3btsRv3KT7XncpI670X4osmuuHobCoUhnfFct1/75ZrTrRi0wtnV6GRCJhVIsm+EY94tPbD7H+ph6CQkrEnAt6FcySSAQ6jalOVoaGvYuulqjfmXJ1GlC6Zh2OrFiKVvPy+jF9kJkZjVZbMHVjWzNbNnfZjEyQ8cWRL4znPXr78SLk4vY5FqFdbMzpW9eLjecfcuBG3mnovg5W+arde9MwOXkvQJOaSurVq0X60KTmvqKaFfm0+HnPnj1kZGTQtm1bunbtSnh4OEeOHAFg/fr1dO/enXr16mFhYcE333yjO8/a2po2bdqwbt063TilSpWiXLlynDp1itTUVMaNG4dMJqNBgwY0bdqUnTt36s7/8MMPcXFxwcLC4qWvlVwuJzo6msDAQGQyWQ4n8FmGDx+Oj48PKpWKjh07cvHiRd3fMnz4cMqUKYOtrS2ff/55nmPExcWhVCpzbNuxYwe9e/fG29ub+vXr54jmTZs2DZVKRZUqVXBycmLGDLF/1JdffklcXFyujyfOZlJSEjY2NtnGs7GxISkp994rH374IXfu3CE0NJTRo0fz9ttv60RiHj58yNKlS/ntt98IDg7G29ubd999N9v527ZtIzExkfXr1/PWW29l22dtbU18vP5X2rQaDUkx0S8/sABIlIpsTdJNGBmVu4GNB8xvWCS1eV5+4kJMukl8xyDYdutK5oMHpJ49C8CEehMA+PjAx4Y0q0gQ5HL8blzH7YcfAIj46SeuV/QjIyjIsIYZOe7u7gxWib/zX168ie3jCHzMyhdHRwqK0s6M1kMrEXIjlqtH9C/GZsxUa92B1IR4zu18uY7Bq1KzhrhwHhycM8XxZZRWlWZ2i9kce3iMmWdn6tu0wiGVQ8dfxee3dufYPbmzqHfwy568+/2ZyaUklcCWPrnnwpkAID0wkKAe7xTpHL7r14GDEwBajYBGnbN+KSAggK5du6JQKFAoFHTo0IGAgACaNGlCaGgoXl5eumOffQ7Qp08f5syZw+jRo3XRQBBTNe/du4dKpdIdm5WVRa1atXT/fjZi9TIGDhzI/fv36datG+np6YwcOZKvvspdxtfF5Wn/HEtLS11NW1hYGE2aNMnX/La2tjmcqzVr1uDu7k7dunWBp3/7s47v119/zcSJE/P9dz2LUqnMljIJkJCQkMPZfEKNGjV0z/v378+yZcvYs2cP7733HhYWFnTr1o06deoAMHnyZJycnEhNTc3mVCsUCrp3707VqlWpWbOmTrwlMTExW2RP36jVWUil+r08aNKyEBRSBImpRs+okMqhXGs4uwR+8IIvgkCP772TtzWCROC/LfdoM6zyy08woVcsa9dG7uVF3IaNWNaujaXckvf83+Pvy3+z4PIChvsPN7SJekfVrSu2XbsQ8sFokg4c4G679rj/+gs2HTqYetDmwfstm7Jv8x62qR0Z5y9DZW9O6uUoMiNTkDtZ6m0e78oOeFey59i627iWtsHR01pvYxszpWvWwbdaTQ7+8zd+jZpiaasqsrlUKvG+4s7dn/DxGVHg85t4NqFn+Z4svroYD6UHvSv21reJBaf2MLi8Dg7+AOXbZqv1N5dL+bqDHz/uukFwdAreDjk/rw5WCqKS0nPVvHiTMTl5L8CsdGnRCSviOZLixdz3Zx08+WM1yqSkJDZv3oxUKtVF2ZKTk5HL5fz++++4ublx79493XkPHmSXzu3UqRPDhw8nMDCQrVu3MmXKFAA8PDzw8/N7YcpfQb4ICoWCKVOmMGXKFG7cuEGzZs1o0KABzZo1y/cYrq6u2VIWX9QGoly5ciQnJxMbG4udnR0gOsOPHj3C1dUVgMzMTGJiYjh16pTO8cuL77//Ps8U08aNG7Nz507KlStHUlISDx8+xMPDAxDTZZ+PwOWFRCLRpT9UqVKF0NCnYhSCILzw9c7MzOTu3bs6J+/mzZv4+/vna96CYOPoREJUJClxcVg7OOpnUK0WbZaGrKhUpHbmSK3k+hnXhP7oPFuUqz74PUx1gG9i9dar08JagZefHbdPh+NTxYEK9Vz1Mq6J/CFIJNh27UL0wkW4fj0BiZUVo6uP5u/LfzP73Ow30skD8ZrqNe8PsmJjCRk5ikfjPyVp/7+4/u9bpNYlw7EoCBKJhJ+b1KXFmVsMPH2N/8a8ReiUk4T/ehbP6Xln5hSGdiP9WTH5JLv/vkrPr2qjMC8Zt6LNB49g8ccj+Gv0ED4KKLp+lcIzmg6FdWom1JvA2ltr+e6/72ju3RxnS2d9mlhwBAGaT4ClneHMIqgzLNvuAfV9+OtIIDP23mRWnxo5Tjd/3Ag9JjmjRNXmmXKoXoDEwgKLypWL9CHJIxVSeCw4smHDBuzs7Lh58yYXLlzgwoUL3LhxA5lMxvbt2+nRowcbNmzg9OnTpKam6kRVnmBpaUnHjh157733qFChAqVKiWkY9erVQ6PRMG/ePDIyMsjIyODIkSMEBwfn+Xo4OzsTlEfay4EDB7h69SoajQYbGxtkMhlSqbRAr3f37t1ZuHAhgYGBJCQk8Msvv+R5rJmZGc2aNdPVIN6/f59jx45x4MAB3et09epVOnbs+EIBlidMmDBBp4L5/OOJc61UKunSpQuTJ08mNTWVbdu2cenSJbp06ZLrmOvXryc5OVlXU3nkyBGdUM2AAQPYsmULFy5cIDMzk6lTp9K8eXMsLCy4d+8e27dvJy0tjfT0dGbPnk1ISEg2R/Xw4cO0bds2369tfrGwEaODyXGxZKa/WK0qvwiKZz4HudR4aLM0ZMWmoc0qefnyRkWzL6B6f/H5FDu9Dt1hZFUA9i2+ptdxTeQP2y5d0aakkLBXFH6QSqR4KMWFKqNR0isiZHZ2+K5ehfvPP5OwYwd3W7chdtUq46k3MiJKOdjzhYsNIVa2zDx6FLmX6AwnHMx/37X8IFdIaft+FZJi0ti76FqJeS/s3T2o2+Ud1JmZ3D1btL0dy5b5AoDExMuFOl8mkXG492GcLJz47NBnaLRG8PtcqgmofODoTMjKLqxkoZAyrkVZtlx8RHB0So5TSzuJGVdRJaxXnsnJM1Yer6IHBAQwfPhw3NzccHV1xdXVFQ8PD4YOHUpAQABVqlRhxowZdOvWDV9f3xy1WwC9e/fm33//pVevXrptT5zE3bt34+Hhgbu7O9OmTUPzgqLgb775hh49eqBSqbIJvACEhobStWtXbGxsqFOnDiNGjHhhXV5uvP322wwePJh69erh7+9P69atMTPLe8Vl2LBhrFy5EhAbszdu3JgGDRroXidXV1fGjBnD6tWr9dYG4o8//uDRo0c4ODjwySefsHr1ap34y/Lly7P1wps5cybu7u44ODgwY8YMNm3aROnSpQHw8/Nj7ty5dO3aFScnJ27fvs3SpUsBceXtu+++w9nZGVdXV9atW8e2bdt0EcqLFy9ibm6eLbVWXwiCgI2TuGIXHaKfH3aplRy5h3iBVcenkxmZonPqMh4lkRmWjCY5k8yInBdmE8VM1z/A/HEa8KGf9TasVC6h9dBKAJzZEaS3cU3kD4WnB5b16xO/4Wn0YEh03/sAAQAASURBVGMX8fmofaNKxE22bedOlNm3D4vq1Qn79n/c8KtE3KZNhjbL6BhRzQ9btCxPVhPaUNyWsCsITYZ+65lcS9nSfGBFgi5FcXG/fp1IY6Zhn4EAbPppapHO4+U1FLncnqvXPimwAMsT7Mzt+KLuF5yLOMfSq0v1bGEh6bcG4kNybanwTi0vrMxkzDt0N8c+p8fRu3tRyUVuojEhaEvC1f0ZEhISsLW1JT4+PpuIRlpaGvfu3aNUqVKYm5sXq02RYRE4aR6SGvM0jU1RujRSS/3lwb+O7N69m7Fjx3Lr1q1c92s0GurUqcOGDRtyNER/kxk4cCC9e/fWqX4WBWF3bwPg6O2LTK6f9Ep1YgaadDWCAJrUp063oJCizVCDVEDubAmSF6euviqG/K6/Fmi1YkpM0BF4ew7UHKiXYTVqDfNGHwREOXWJqTazWInfvJlHX3xJmX17UTyud956dysTjk5gSOUhfFK7YD1DX2cSDx4kZOQoACS2tpQ7dBCJ6VqgY879cL4LDKXtlf+Y27ALcWtuY1ZWhdNw/ZcIzB31L2ih98S6OHrmXt/+pnFw2ULObttIl08nUrZO/SKbJyJiF5evjKZC+Sl4evYv9DgTj05k893NzGo2i5Y+LfVoYSFZ1A4ib8C482CRPevk83UXWXMmhIuT22Br8fTeJT4lk2pT9jC3X006VnUrbov1Tl6+zPOYInlGiqCnepjXjU2bNpGZmUlYWBhTpkzJMxUSxBqCs2fPligHD2DZsmVF6uABOHqJr2lKfKzexpRaK5A7WiBzsEAwkyIopMjdrJA7WyKYy0CtJTM0WXT4TBgOQYDej1Oct4yBoGN6GVYildBqsB8A2+de1MuYJvKPdevWSKysiN/0tK9n5zKdqeFcg3+u/UOWpuS0uLBu1oxyx8XPtSY+npvVa3CnTVui5v9ZbBL3xswIL2cs0XKkXDUOJdzCqq4r6XfiSDqhf0XM/v8TnZy1008TF14ysjma9h8CwOZfvivSKLqzczsAQh6+vGTlRXxd/2sAppycQlRq1Cvb9cr0XALqzFyzTUY3LwtAk58OZNtu/bju8+gdI7C/GCmZnsRrQEn9oZk1axb29vb4+/tTrly5bMqYJooPmUKBVC4nJT6e+Ijwl59QQOROlqJzJxUvQYL0maiOHnszmSgkFir48LEjtqQDLO8JMfdeeEp+qFDfjcpNPAi+GsPckf+WiDRBY0FiaYl1+3bEb9yY7fdlRNURqLVq/rr0lwGtK35k9vb43biOx8wZWLdti1nZskTOmsX9d98l7Wbu2SMlBblEYE89P1LMzJkYlwnNRBGuuM130aTrdzFA5WzJ8JlNUKrMWPfjGTJLwCKfIJHQ5LGjt3bq10U6l4/PSNLSHqFWF77G3kJmwd539hKTFkPzNc0Nf922doWGH8LJuRCZ/bvq42BF43KOZKo1JD/zWZVIBCwVUsIT9KM18LpgcvKMlCfCKyWNgwcPkpiYSGRkJEuWLMHapIJmMGwcxdYeqYkJLzny1ZHZmSN3swLAGOq7TQB2vqKjV3so3N4Dv1WHhFdfyW/apzxmVuL17dTWV3ccTeQfVbduZD58SMrpp2Irb7mLddzzLs4zlFkGxaZ9ezxnz8Lrj7m4Tf+B9Bs3ude1K4++/Ap1QtFf+4yVspbm1La2INTWgW8WLsb23QoAJOzNW5ytsJhZyGgzrArpKVn8M+G43sc3Ruq83QOAB1cvkZKg/563T3Bz7YFanURU9IGXH/wCXK1c6VVe1HXYfT9nr7pip/4H4v/n1smxa3qPqqRnadhw/mG27dbmMqKTTcIrJoyAkurkmTAezCytkCkUwNMavSLlcR2eOqFkXYSNGjtf6DQTmj/uLTm3HsQGvdKQgkRg6M+NkcgEzuwIIik2/eUnmdALFjVrIvfxJn7jUwEWQRBo5tUMgAeJJUcAIzdUXbtS7vgxbDp0IH7LFu60bkPCnj2GNstgzPQT0/a3+zdg181jWDf3IunoQzJC9S9e4VLKhtodfUlLyuTasZLRKH3AD7MAOLx8cZHNYWVVGqWyIuHhW155rEkNJlHatjSfHfqMkMS8W1wVC2ZKaDxefB6ZvQm6h8qCpuWdWHAkMNv2ss5KbEpIu44nmJw8Y6UENWs0Ybw4eHrrnofdvV2kaRqCRBBFV6Smz77R0fQzeP8gZCTD7GqQHP1Kw0kkAn0mii1Bln51zPDpPyUEQRBQdetGwu7dqJOe3qh/U19Mi597Ya6hTDMaJAoFHr/+Qtn9+zCv5MfDcR9y/91BpN/Nqdj3plPOypwDdSqQYmbB2vA4zkjuIHOyIGbVDbSZ+k+rrNupFJUaunF41S2iHybpfXxjw6V0WZoMGMr1IwdIiIoosnmUVhWIjNyDRvPqC2o/NxXr4KacmGL463ajj8X/rx+WY1ctHzvuR6dw+FakbpuLjTlXH5Ws6LxROHlz587F19cXc3Nz6tWrx6lTp/J13qpVqxAEga5duxatgQagKNUFTZjIL4Ig4FKqjO7f4YF3SIqJLrKLu6CQgkl10ThxrwG9Hsto/1wawq++0nB2rlbUbCdGCo5vKHk30IbC9u230aalkbj7acqVk6UT9VzrcTrstHH0wzIC5G5ueC9ciMuEr8gKDyewYyciZsxEm1GyMg38lBY0VFlxxtePw8eOYtWtFFmRqSQWQbRNEAQa9y6PytmCPQuvov4/e+cZ3lTZBuD7ZHWlTboXFDqAUigbWbKRvXfZCMpwoYADFVDcH6ggKiqbMmXvIQoUWTLKHoVSWrr3nmm+H4FA6aCFtmnLua/rXKTvecdzQnJynvdZ2VX/s9igc3eMleb4rSu7EgVWVrpaGBERu557rtqWtfm89eecDD/JiqtlZ4EsFkbm0HYGxN6BlOg8pya105Wren/zJX1bWqYGtUnpZAuvLBhcydu4cSPvvfcec+bM4fz58zRs2JBu3boRFVX0rkZQUBAzZswocS22ysCLmllTpGIiSCTYu3kgeeBCnBIfR2TgbbLS08tmQUPvDooUTt0+MOaB28+vrSHgr+earlV/d2o2sMH/UDBbvjtLrph0p8yROzlh1qplHpdNgF5uvYhKi2LFFQM/uFUgBIkEqzFjcN2+DevXJhK7dCl3Bw0m/dKlpw+uQsx0dSTNyJj/atZlweqfMGtmT9KBILKjSz8bpkwh5ZVX65EQkcbZfUGlPn9Fw8jUlOZ9B3Hj36Pcv3alTNZwcBiIIEhJTnm+jbmHDKg1gF5uvVh0fhGXo5+t2Hqp0eoNEKRwYlGeZplUgrPahIikDH1tvNr2SuLSXqxNGoNrE99//z2vvfYa48ePx8vLiyVLlmBqasry5csLHaPRaBg5ciSfffaZvrh0VUAqf7BrJVrxRCoYgiBgV8NVX1oBIC7sPtmZpZupSpudizZTQ06CGKdVYXFrDxP+AoUS1g6C24efa7oek+pjYWNMRGASOxdeKCUhRYpCNWAgaWfPkhX8KInGgFoDaO3Umt8u/SZa855AYmKC3fTpuG7ZjCCXEzTch8hvviW3rDa6Khgt1UpGO1lzwaU2qQpjAqsngRYiF5wrk/WsnZU06V6Ds3uDiA5OLpM1KhINX+kBwOYvPykTLxlBEDA1dSMp6VKpzT+v9Tw8rTyZfnQ6CRkJpTLnM2FqBS9NhNO/QVje3481E3QhAaOWngZAZaogIS2btKwXp1yMQZW8rKwszp07R5cuXfRtEomELl26cPLkyULHff7559jZ2TFhQn4/3CfJzMwkKSkpz1FRkSgefPkqmJI3d+5cJk6cWOz+qampeHl5kZJS9X3qH+fTTz9l8eLFhhajTJEpFDi418LS0RmA2PshZKaVXhC+zNIIgNyULLQ54oNmhaV6c3j3wa7zwU8h99njcyRSCaO/aI3KzoTQmwncPld2sSkiOsy7dEaiVJKwdWue9tFeo0nPSX/hyikUF+O6dam5aSN2098jfv16Avv2I/V08cJLKjsfuTmiFQTON23LgUMH0L6kBiDtctnUHWvavQbWzkp2/3yR1MSqveknNzKmSc9+aHJy+H54nzJZw96+D0lJ/py/MJLMzOe/x8qlchZ2XEhyVjKf/vupYePz2k4HTSb83iFPs5utEoDQBN1mjKPKGIC4FyjDpkGVvJiYGDQaDfb29nna7e3tiYiIKHDM8ePHWbZsGX/88Uex1vj6669RqVT6o3r16s8td5nzhJJ37NgxWrZsiUqlwtramk6dOnH3bsVNPb5kyRL69euHUqnM0961a1fs7e3Jycm7i9KhQweMjY1RKpXY2dkxevToEivjd+7coU2bNpiamtKkSRMuXiy82LJSqcxzSCQSFixYAEBkZCR9+vTBzs6uwLjI6OhoevXqhZmZGXXq1OHw4UdWjLfffpvvvvuO7OzsEsleGTEyNcXC1g6A+PAwsrNK50dYYixDaqm7EYtKXgXHxBLG74eoq/BNDUh5vgeH7q/XB+DAH1dIFS25ZYrExATVwAHE+64lJz5e3/6y88uAmIClKASZDOsJE3DbsR25kxPBY8cSOn0Gmiq+qWkllzHY3pKrCjOirew4EHcao9pq4tZeJ7cMatvJFFJ6vdGAtMQsVn7wLxkpVft3tcOYRxvpZaEwudZ8g0YNl5OQcJorV6eVypz2ZvZ81OIjjtw/wu7A3aUy5zNhZA7eQ3SvQ/JuurzaxhWAU4GxOKlNAAiNfzEs8FAB3DVLQnJyMqNHj+aPP/7AxsamWGM++ugjEhMT9UdISMVLEV3U1zkxMZF+/frx/vvvEx8fz71793jrrbeQSqWlKsOTitfzsGzZMnx8fPK0hYeH888//5CVlcXBAlJSL126lJSUFC5evIi/vz9ffvllidb08fGhS5cuxMXF8dprrzFgwIBCryklJUV/3Lp1C4lEwsCBAwGdJblnz56sXr26wLFvvPEGDg4OREdH87///Y+hQ4cSFxcHgK2tLfXq1WP3bgPe7MoRUwsVZmpLAGJDgsnKKB3XTYlR6X62RcqQGq1gzA7ISob5tSDqxjNPZVPNnPY+tQFY+eG/ZGdW/aLIhsTm9dfJTUkhaWfe1OrD6gwDICK14I1WER2KmjVxWbEch3mfk7RnD7eaNSd+w0ZDi1Wm/ODpQi1TI/Z7NiMgMor1SX+DBJL2B5XJeuZWxrw8tBYA274/j7YKx+wKgkDfGbrC6Bf2PX+5g4Kwtm6PtXV7cnJKzwW2r3tfetTswbxT8whNCX36gLJiwO9g6wmHZueJ6/+opycAf12LxOmBJS84rvRjSSsqBlXybGxskEqlREZG5mmPjIzEwcEhX/87d+4QFBREnz59kMlkyGQyVq9ezc6dO5HJZNwpIMWxkZERFhYWeY6KivbhM81j97Fbt25hZGTEwIEDkUgkKJVKBgwYgIuLLrW9RqNhzpw51KhRA3t7e6ZPn65Xbu7cuUO7du1Qq9U4OTkxa9Ys/bwrV66kY8eOTJo0CZVKxYoVK4iOjmbEiBHY2dlhY2PDhx9+qO+fnp7OkCFDMDc3p0WLFoVaEoODgwkLC8Pb2ztP+/r162nRogUjRozA19e30PfA0dGRHj16cPVq8QOEb968ybVr15g1axbGxsZMmTKF3Nxc/Pz8njp23bp1tGrVCldX3W6Pra0tU6ZMoVGjRvn6pqSksH37dj777DNMTU3p27cv3t7e7NixQ9+nXbt27N+/v9iyV3aUVtYorawBiAsNISO1au9mixSAWwfo+5Pu9S8t4MRPzzxV/fbVkMp0P0v7fjNwQH8VR2Zjg8TcnMivv8ljOXir8VsALL9SeFy8iA5BIsFyyBBqbtwAQMTcuVz3rIsmseyKWxsSuUTgZ68a5EqlHKndmNiEeHKbWJByKpyc2LKxjjTsVJ2eU7yJD0/l1I6qnYW3VvNWuDVpzlHfFaQmxD99wDNgZdWWlJRrZGeXXujSxy0/xkRmwvtH3ycn10DxbhIJdP0Cgk/Cnb/1zXKphFEtXdh3JQKlkUzf9qJg0CtVKBQ0bdo0j8tbbm4uhw8fplWrVvn6e3p6cvnyZfz9/fVH37596dixI/7+/pXDFbMINJm6/w5tziO3hNq1a5OVlcXEiRM5dOhQPjfG77//Hj8/P86ePcvNmzc5f/48S5Ys0Z+fN28eMTExHD16FF9fX7Zv364/5+fnR6tWrYiPj2fUqFGMHDkSU1NT7ty5Q0hICP369dP33bZtG1OnTiU+Pp46deowd+7cAq/h8uXLeHh45HN19PX1ZdiwYQwfPpwdO3YUGq8XGhrKvn379ErW1KlTUavVBR5Tp04F4Nq1a9SuXRsjIyP9PN7e3sVSFNesWcOYMWOe2g8gICAApVJJtWrVCl3H09OTSy9Q5jVBEFBaWqGy07lcJ0SEl2qMnkglockYePVBSv6Dn8DR7555qsmLO2DtbEZqQmaV3rmvCFi//hoA4R9+pG9TGakwlZniH+VvIKkqHyYNG+J57SqqBx4ht7u8QuqpUwaWqmxoYG7Kt7Wrcc/GkT+bdeKf5AsI5nLit98us7gs14a2tOzvzvkDwfy14lqZrFFR6PLaG+RqclgyaXSZzG9lqSunEBn5/OUUHqIyUrGo0yIuxVyi59aepTZvifHoAk5NwG9Bnuae9R0JTUjnZqTOgnk/XrTklRvvvfcef/zxB6tWreL69etMmTKF1NRUxo8fD8CYMWP46CPdD5CxsTH169fPc6jVaszNzalfvz4KhaJUZcvO0hAdnFymR/ZTfNlVKhXHjh0jMzOT0aNHY2try6hRo0hO1n1Yly1bxhdffIGtrS1qtZrp06ezefNmANzd3Wnfvj0ymYxatWoxcuRIjh8/rp/b3d2dcePGIZFIiIuL48iRIyxcuBBzc3NMTEzyKNqdO3emY8eOyGQyhg8fXmjMW0JCQr5YvOvXr3Px4kUGDx7Myy+/jJWVFVufCPifNGkSarWaVq1a0bp1a73V8ZdffiEhIaHA45dffgF0FrYnLbQWFhZPTfxy6dIlbt26xZAhQ4rs95DirGNubk5iFd3FLQoTcwvMrXUWvfjwsLIrryBScXFpCR8G67JuHvn6uQqmtxtem7iwVG6eEV0GyxKb115D2aEDiTt2kPmYd8akhpO4Hnede0n3DChd5UKQSHD66kvcDx5A7mBP8LjxXPesS3Zk1Usk1N/eEluFjDgzC87GxLHf/CKZAQkkH71fZms27qrzXrp5OoJ7V5/93lLRMbeyQW6kcytMS0wo9fmVSp1L/M1bs0t13oa2DQEITw3naMjRUp272AiCLgnLvX/h3qPkjS+5WmFtpmDfFd3vyYtUpUlmaAGGDRtGdHQ0s2fPJiIigkaNGrF//359Mpbg4GAkBqoblxCRxqav/ivTNYbOag4PdVOBAgP06tevz5o1awA4d+4cQ4YM4csvv+Sbb74hODiYHj166C1nWq0WZ2dd5sPQ0FDefPNNTp48SXp6OllZWQwfPlw/7+MWqfv372NnZ4eZmVmBcj6eHMfU1LRQBUqlUuU7t2bNGtq1a4ejo6PumocOxdfXN48F7bfffmPUqFEFzvk0lEplPgtnUlJSPmXzSdasWUOfPn1Qq9Wltk5ycjIqlap4glcxzNRW5GpySU2IJy5M92Nv75bfqitShTFWweTjsLQLrBuqi9czKvp7WBBOtSxxbWjD4ZXXsXUxx9qp5HOIFA/Hr74koF17Anv0pPpvS1C2b89Aj4H8cO4HFp1fxIIOC54+iYgehYsLrjt3cs9nBBk3b3K7UyeUHTtQbdGiKlUD90SLunQ/e4sTjV/G8vheAjydqbU/CEEmwfxl51JfTxAEJi/uwN5fL7H7p4t0e60+Hk3tSn2disDIr75n5fSp/LvRl1def7PU53d28iEicge5udlIJKVXHPzimIuM3z+eN/9+k539d+Kqci21uYtNnZ5g5Q5Hv9H9/qCrmdetvgN7L4djb2FEevaLE+9tcCUP4M033+TNNwv+IB85cqTIsStXrix9gR6gdjDVKWFliNrBlPg4ndVDItOiySr6gbhp06YMHDiQK1d06cudnZ3ZuHEjTZo0ydf3k08+wdLSklu3bmFhYcFHH31EeHi4/vzjD9/Vq1cnOjqatLQ0TE1Nn/l6vL2988RGarVa1q1bR3R0tD7OMiMjg5SUFMLDw/WKX2FMnjy50Bi+UaNGsWTJEry8vAgICCAzM1PvsnnlyhXee++9QufNzc1l3bp1eVxbn0atWrVISUkhNDRUr0hfuXIlj7J68+bNfPGILxLm1jYYmZkRF6pT8qLu3sHezeOZ5sqJy0Bub4omKQutRovMyhhBIiqMFR4rVxi1GVb2gT86wetHQFHye0q9ts7cvRjDf7vu0n3Si/udKmtkVlZU//UXQl6fRMikydTyO4ba1hY3lRsH7x1Eq9WKGzUlRBAEam5YT050NMGvTyLlr8MEtG+P49y5mHfubGjxSgVzmZRP3B0ZfyWTWM+GHL3xH85Ne8PuQBDAvE3pK3pSmYQek7357a2jHPjjCirb5ti6mJf6OobGupoL3p26cuPEMdqNGo+RacGb78+KvUM/QsPWk5R0EbW6WanNKxEkLOiwgI6bOjJm3xj8hj89L0KpI5FA45Fw+HMIOAS1XgGgl7cj604HY2Uq53bUi5M7oOpsK5UBcoUUWxfzMj3kikeZBKWK/Cnjb9y4wQ8//EBYWBigS8Sya9cuXnpJV+Tx1Vdf5ZNPPiE8PBytVktQUBBHj+pM5cnJyZibm6NUKrly5UqRCU+cnJxo37497777LikpKaSnp3PqGWIKatSogYODA5cv65Im+Pn5ERUVpc+a6e/vz40bN6hXrx7r169/6nxLlizJkw3z8eOhglanTh3q1q3LN998Q2ZmJr///juCINC2bdtC5z18+DDZ2dn06NEj37mMjAwyMzPzvVYqlfTr1485c+aQnp7O7t27uXTpUp7YxWPHjtGtW7fiv2FVEIWxiV6x02q1aHNLWArhoSKXqyU7PJXc1Gy0GTmgeYF8LCo7To1huC/E3ISvit7IKYwa9a3xaGrHnQvRHF13s5QFFHkcZdu2eBz+C4CwDz4AYKK3LqX7oXuHDCZXZUdma4vbtq1UW/IrUlMz7r/xJvffeqvKuHB2t1HhaqLgnEsttMCR+POYveRA4q5AMoPKJmxBJpfS522da+D2Hy4QH1E1Y8BbDxlJVnoafusLzvT9PKgsGgAQH194PepnxcbEhs9af0ZCZoLh7h2t39H9u3awvqmFqxVWZgpytaA2LT3rZUVHVPIqEMKD/w1B9sjAam5uzokTJ2jatClmZmZ06dKFXr166TNfzpw5k1atWtGmTRtUKhV9+vTRl4mYPXs2//zzDxYWFrz99tsMGjSoyPXXrl1LQkICNWvWxMXFhZ07ny2N74QJE/QKnK+vL0OHDsXDwwMHBwf9MWXKlCKVzpKybt06Dh48iFqt5tdff2Xr1q3IHryPX331VT5lbs2aNQwfPlzf53FMTEyoWbOm/nWdOnX053755RfCwsKwtrbmvffeY+PGjVhZWQG6uo+XL1+mT5+yKWZamRAEASsn3U5uUkzJHmgEiYDcXrdzKcgkSC1KN9ZWpJxw6wCu7XWvl74CGSV/6Gvvo/vuXTkWSnRw6aX9FsmP3MkJgNQTJ8m4do3ebr2xNbFl9bXSf8h80TDv0AG3/ftwmDuHFL/j3G7fnujFP5ObWrkVFEEQ+NHThaDMHNK69iUsLIxrdrr7ffy222WWOMnFy5qJP7TDRCln50L/Klks/WHW6osH95BRyjUYJRIjjI2rE3j3x1Kd9yEDPAbgofbgs5OfEZtugPhJqUyXhAUgVudZJpNK6FbPnvRsDUnpVbvm4uMIWoOWqS9/kpKSUKlUJCYm5kmikZGRwd27d3F1dcXY2LhcZYqKiMIuN5TcHIHMJBmCXI7xY4pFZSM1NZXmzZtz5syZp8bFVSU+/fRT7O3tC3U9fhGJuBOAVC7H1qXmM8+Rm5FDTkw6cnszBPnz70sZ8rv+wqHVwqYxcH0nyIxhygmwdi/RFEmx6az5+CQm5nJe/V/h1nmR50eTksrd/v0hNxf3w3/xyb+fsPPOTi6NuSS6bJYSObGxxC5dRvzGjWjT0rCePAm7adMMLdZz4fCPPwCDzv2DbUoib3YfT8b2YIzrWGI9rl6ZfXZS4jPZ/O1Z5EZShn7cPI9nVFUgNSGeJZNG4+hRhxFflm5s7Jn/+pGcfIX27fyRyUrf5fV67HV89vjQzL4Zf3T9o/zvH9np8L0XNBgGPb4BwC8gmtHLztCouprtb7QpX3lKmcJ0mScRLXkVkUr+Y2pmZsa1a9deKAUPdOUqRAUvLzIjIzTZ2WK2zRcVQYBha2DSMZCbwKq+uh/fEmBhbQJAenI2saEvTiyFIZAqzXD8/DOyw8KI/PpralvqMvH9E/KPgSWrOsisrbH/4H3cduqSQsQu+Y3Q999H80RSr8pEYLsGWMtl3Hy5G7kIHLhzHLN2zmTcjCf575AyW1dpaUT3SfVJiEzj97ePllkJB0NhprbExbsR4bdvEnu/dN/H+vV+BODmzbmlOu9D6lrX5ZfOv3A64jTrbqwrkzWKRG4CTcfB2eWQqfMCaelmjUIqEJGYUf7yGAhRyatA5OY8yJCZlWVgSURESge1vS4e62G2zechOzIVTdqL42ZRpXBsqCuYnhIBv7WDnJK5Vw3/VBeDvG3B+bKQTuQxzFq3xqh2bZL37WdwTV288eZbmw0sVdVDUa0antevYffBByTt2cud7j2IW7UKbY6Bikk/B6ZSCSu9XbmSnsWdrv0JCAjglnU0xnUsSfo7mKz7Zedq7eCqotUAnXfAf3uCymwdQ9F/xidYOjqx7bvPyM4qPbdUU1Nd5suo6P2lNueTtHZuzbA6w1h0fhGhKaFltk6hNBsPmkxYp8sqL5dKqGFtRkxKZpXbECgMUcmrSFRuA56ISD5kcjlSuS7IOeJOAFkZJbfoCY+54OSmiEpepaVuH52iF3MLFjWG7OLvplo7K7F1MSczLafKJlqoSDh/v4Cc6GiSFyzCQ+2BX6gfKVmiFbW0EQQB6/Hj8Dh4AHm1akR+/Q2BffqS8u+/hhatxDRXmdHUwpRTOQLqBo3Zt28f5x1DkTuaEbfxJtoyTJzVpFsNmvWsyX+773LjVPjTB1Qi5MbG9HhzOomREZzbta1U565dey65uRmkp5edtfWdJu+gVCiZc2IOudoSJmF7XtS62orce1Qfup6TBTm5Wq6EVl7LeUkQlbwKhESm+wJIHpQBEBGpCjxMwAIQF3qfnOySKWqCREDurEQwkj7KvClSOWk0Arp+CUmh8KU9pMUVe2i31+oD8NeKa2UlncgDjDw8UPXvT/y69XxVT5dtc0vAFgNLVXWROzvjumkjLqtWIVWrCZkwkSCfEWQ+Vo6oMrCpoTsOCjnfW9VEC5w4dRJpFztyYtJJ3BNYpmu/1McVz5YO/LP6BiE3in9fqQw4etTBs017zuzcQnpK6VlFHR36AxAZuavU5nwSc4U5X7T5gjPhZ1h+ZXmZrVMo3kN0/z4oju5sqXP/77P4eGEjqhSiklcRqeQxeSIijyOVybF389BnC4sNuVfiOQRBgFzQZuSgzSnn3UCR0qX1m9DyDd3r71zhv6XFGqayNcHBzYKoe8kcWn61DAUUAbB9dxoAFr9vxcbEht8u/WZYgV4AzFq8RI11a7H/5BOy798nsFdvrnvWJScmxtCiFQszmZT3atqTpdXSdOIUlEolW4/tQdm5OiknwkjzL7vSEYIg0HG0J44eKvb/doXIu1XLUtNhzES02lxO/ll68W0ymTkqVTPuBJZuUpcnaeXUivH1x7Pw/EL23d1Xpmvlo/u3un+vbgWgtn3Vq6tYFKKSVxERlTyRKoYgCCgtrTAyNUOr1ZKaUPKdVkGhu11pUkWXzUpP969g4t+613umw78LizWs//Qm2NUw59aZSGLui+6DZYnc3h5lp04kHzxEa8dWJGcls+zyMkOLVeURBAGrUSNx27VT/ywQ8HJbwufMrRRxRAPtLWlsbsqHQVEMHDiQsLAwzuTeQmplTNLfwWW6SSeRSug5tQFqe1N2LrxAQlRama1V3pipLWk5cDgX9u8iJjio1OZVKj0BiIsrWxfhqY2mAvD+sffR5GrKdK08mFlDo5Fw5nfISMJW+chTLjOnHOUwEKKSVwHQiC5oIi8IagddIpbk2NgSx+fJLI1BEBDE70vVoFpTeP+u7vWh2bBp7FOHSB88xIHotlkeWI4cgTYjgzeCPAD48fyPlULRqApI1WrqXr+G2969ACRs3MiNul4kbNlqYMmKRhAEprs6EJet4ZBcSdu2bTlx4gSxbWTkRKUT9Yt/ma6vMJbR+40GSBVSdi3yJz2l6iSya9qrP+bWtvy98vdSm7N2rU+AsimM/jhGUiNmNJsBwLR/ppXpWvlo8uC35cIarB9T8s7fSyhfOQyAqORVALQPM648fHYVLXkiVZTHa+XEhd4n4k4ASTHRJMfGFO/hUfxqVC1MrR4pete2w/Wnx4aYqYywq2lBbGgKGo3ouluWmLVsicLVlaT5i5he63UA/EL9DCzVi4WRmyt1b1xH4aHLIBn+8cfc7twFTUrFTUDUxdoCK7mU7+5G0LLNywBsPrQDwdqI7LBUssLK1gpvYq5gwHuNSYrJYPmM42iqiIu/TC6n9dCRhFy9RMB/paOUSSRy7O16ExyyktzcsvWSGVtvLKYyU47cP0JEakSZrpUHlxa6DM9nV6A21SWCMzeScSwguvxkMBCiklcRKUcl76uvvnrm2m59+vTh30qYBex5WLZsGTNmzDC0GJUaO1d3zNSW+r/TEhNITYgnMvA2mhImZRGpAphawccRYF8fNo6Co989dUibQboH3lunI8tauhcaQSql+m9LQCqlw69ncFY68/Xprw0t1guJ++7d1Lnoj3rIYLJDQ7nVrBmxy5ZXWMvq8vqupGpymRkYwWuvvQbAhTqRyOxMifW9jia5bC1slg5m1KiviwPf8eOFCvs+lZR67TtTvV4Ddn3/daldk6PjQHJz04lPOF0q8xXFwcEHsTa25rv/nn6fL1XULhAbgCr2EgCuNmYcvl71fz9EJa8CUZhqV7NmTczMzEhNfbRzl5aWhrm5OTVr1nyuNWfNmsXixYtLPO7cuXPExMTQpk2bPO1fffUVgiBw6dKlPO1z585FLpejVCpRq9V06tSJa9dK5m6Vnp7OqFGjMDc3x8XFhfXr1xfat0ePHiiVSv0hl8vp06eP/vzGjRupXbs2FhYWNGvWjBMnTujP/frrrzRp0gS5XM7cuXPzzDt69Gj+/PNPoqOr/g5QWSGRSDC3tsHBvRa2NV0xU1vqLXzRwUGkxMUaWEKRckduAmN2gMIc/vkSLhddl83RXQ3A36uviyUVyhiFiwtWY0aT/t9Z3kx+ifsp94lMrfoPRxURiZERjvPm4bZ3L8b16hH1v/9xs0FD0v77z9Ci5aOlWslr1WzYGhlPosqKTp06cfb8OeLaKdDEZRD+ZdkrFL3fbEirAe6E305kw7wzZb5eeSAIAk179Uebm8vdC2dLZU4rq3YoFLZERx8olfmKQmWkYkbzGRy6dwi/++XoFdBNtzllHHwEgMSMbG5FphCbUnq1BysiopJXESnAkufs7Mz27dv1f+/YsQNHR8dyFCovy5Ytw8fHJ1/72rVrsbS0xNfXN9+5sWPHkpKSQnh4OM7OzowfP75Ea86ZM4eYmBhCQ0PZtGkTU6dO5ebNmwX23bdvHykpKfrDw8ODQYMGARAREcHYsWP59ddfSUxM5PXXX2fw4MH6sY6OjsydO1ff/3EUCgU9e/Ys8PpESo5UKsPc2gZ7Nw8sbO0ASImPIyer6sRRiBQTMxuYfgMcGsCWCTBXBYXsVAsSgRZ93QDw23irPKV8IbEcMQIA92/+RJmm5cfzPxpWoBccIzdXXLdsxv6TTzCqVYt7o8cQMnkKqadOVyiL1cduTgB0+u8mbdu2xd3dnZ1/7SHbVRcXlX6t7Df0mnSrgVdbJ+LCUvH/K7jM1ysP3Jo0x66mO4eX/0p2RvHrjRaGIAg4OPQnNHQdOTllV7j+Ib1ce9HSsSVzT8wlI+f55S8W6urg1Q/OrkAhldDGwwaAf+9U7U1lUcmrQDy8N+em5PdX9/HxYe3atfq/fX19GTlyZJ4+giBw//59/d8dOnTQKyO7d++mTp06euvfhg0bAJ2FbeLEifoxf//9N82aNcPCwoJatWrh51fwTsv+/ftp27Ztnrbz588TGBjI/PnzWb9+Pbm5BfvBm5iY4OPjw9WrJUuDvmbNGj755BMsLCxo2bIl/fr1Y926p6cTPnv2LMHBwXqlLTQ0FGtrazp37owgCIwaNYrw8HDi4+MB6N+/P3379kWtVhc4X7t27di/f3+JZBd5OqYWKqyrVQcg5hnKLIhUAYyUMOkY2Hvr/t40utCuzXrWpGV/N0KuxxN+J7GcBHwxkdvZ4X7oIADz1yvYHbi7/Asbi+TDatRIam7+E8evviI79D7B48Zxd9Ag0i5cMLRoABhLJYxy1LlMjrtylwEDBpCbm8sxo2to0ZJ4IKhclNIOI+pQr50zJ7bcJuBs5bdCC4JAx/GvkxQdxbk920tlTju7HgBERZV9iQNBEPjwpQ+JSo/i90ull0TmqXj1h+QwnJQCIXFp1LE359itqu2VJSp5FYiHBjxBkb8YeqdOnbh8+TLR0dFER0dz6dIlunTpUuy5J06cyPLly0lOTubUqVM0aNAgX5/AwED69+/P3LlziY+P5/DhwwVaC1NTU7l79y61atXK0+7r60vPnj3x8fEhISGBI0eOFChLamoq69ato1GjRgCsW7cOtVpd4PFQzvj4eCIiIvLI7e3tXSxFcc2aNfTv3x9zc119lEaNGuHh4cGBAwfQaDSsXLmSZs2aYWlp+ZSZdHh6euZzRxUpHeRGxvrXiVGV/8dY5BkQBJhyHNw76RKx7H630K4NOlZHYSxl6//OVaksehURRfXqmLZqiVVUOu5h2vKvdyVSIIJEgnrgAFx37qTakl8hV8s9nxGEf/opmiTD14qb76nbuDsQk0SOkTGdOnXiblAQ1+snkROZRurp8DKXQRAE2g+vja2LOYdXXSfqnuHfl+elmmc9GnXrxZmdW8hMe/5SERbmDZBITEhKvlwK0j0dd7U7r9Z/lZVXV3I38W65rIlnbwCU2bHEp2XRoJqKzefuk1OFE3iJSl4RZGdmEBl4u0yP7MzHTNUCSNUqFDVc8skilUoZPHgwGzduZOPGjQwaNAipVFrsa5HL5Vy/fp2UlBQcHBzw8vLK12f9+vX06dOH3r17I5VKcXFxwcPDI1+/hIQEAMzMzPRtGo2GDRs2MGzYMExMTOjbt28+l8Y1a9agVqtxc3MjISGBlStXAjBixAgSEhIKPB4qUykPrJsPFTUACwsLfXth5OTksGHDBkaPfmQRkEqljBw5koEDB2JkZMTs2bNZurR4BZkfypCYKFoOygq7mjo3vPTkJHKyqra/vEgRjNoKjUfB2eXwgzfk5Ffi5EZSOozS1XlaPuM4OdlVv+6RIXGcNw+Ar1dp+OnCTxXKNfBFRxAEzDt0wHXzn9jNnEHinr3c7tCR2GXL0ObkGFS2w83rADq3zZYtW9K8eXNO3D5LmCSOhO130CSV/X1ekAgMmN4EK0cz9v9+heS4cnITLEOa9xmEJjubk5ufv0C6IAg4O/sQGbm3zLNsPmRKwynYm9rz8fGPy+deIlOAzBh5ejRmCine1VQAnAkqed3eyoLM0AJUZOJC7+P70bQyXWPU1z+CUg3oNrAVTs4gFKx7jxw5krfffhutVsuiRYvQaIr/QLN582Y+//xzZsyYQcuWLfnhhx+oW7dunj7379/H1dX1qXOpVLovRmpqKkqlEoDDhw+TlJRE7966nZLhw4czatQofvnlF4yNddaZ0aNHl0iZepyH6yQnJ2NhYQFAUlKSvr0wDhw4gEQi4ZVXXtG3HTx4kNmzZ3P69Gnq1q3L5s2b6d27Nzdv3sTU1PSpsiQnJ+vfA5HSRyKVYlO9BjEh94gJCcbBvdbTB4lUPQQB+i6G5Ai4/Rd8YQtz82+u1Gpmz7l9QcSGprJu7mnGfNnaAMK+GCiqVcOkaVPSz53D6nIIM6xnsKDDAkOLJfIYgkyG9YQJmHfrTsScOUT9bz6xy1dg/koXHObMyVPGpryopzTBQSEnLDObC0lpdOvWjf/++48TNoH0jbIgds117N5oVOZyyBRSer3RgD+/+o89P19i8AdNkSmKv1le0bCwtcO1cTPO7dlOk579sLCxfa757O16EBKynPj4U1hbt336gOfEWGbMJy0/YfJfk9l7dy+93HqV+ZqM30udX9bxd1hNhk1owewdV9lwJoTW7jZlv7YBEJW8IrByrqZTwsp4jejE4tWMadasGXFxuh2H5s2bc+rUqTznTU1NSU9/VGA6MvKRu1uLFi3Ys2cPmZmZzJ49mylTpuRzp6xevXqxMl4qlUpq1qxJQEAAjRs3BnSumpmZmbi56awwubm5JCUlsXPnToYOHVrkfGvXrmXSpEkFnqtRowZXr17F0tISBwcHLl++rM/oeeXKFerVq1fk3GvWrGHEiBF5rJ4XL16kY8eO1K9fH4Bhw4bxxhtvcPPmTf31FMXNmzfx9vZ+aj+RZ0emUKAwMSErPZ2IOwGioveiIggwaosuCQvAmT/gpdfydRv+aQs2zDtNbGgq8RGpWDqY5esjUjo4f7+A2+078OmGXIbVOIC2/XyDKA4iRaOo5ozLsqWkX7lK0ODBJGzYSMKGjbisWoVZi5fKXR6/Fp54Hb/CpKtBHG/hyeTJk1myZAmrjY8yLqQDWaEpKJyL3rQtDcxURvR6oyGbvzvL0fU36TSmbqX+/HZ9/U1+PXuKf1b+Rr8ZnzzXXObmunAY/4vj6NzpTmmI91TaOLfhlRqv8M2Zb2jl1AorY6uyXdCpCanarWiz0jCSSfF2VhGWkP70cZUU0V2zCORGxti7eZTp8XgMko6ibzZbt25l69atBZ5r2LAhGzZsQKPRsHr1am7fvg1AVlYW69atIykpSV/GoCBXTx8fH3bt2sXevXvJzc0lJCSEO3cK/qJ3796d48ePA7pyDtu2bWPdunX4+/vj7+/PpUuXmDx5crGyUI4cOTJPJszHj8dj7kaNGsUXX3xBcnIyZ86cYceOHYx4kPWtIB4qmWPGjMnT3rRpU44cOcKNGzfQarVs2bKFjIwMvYKak5NDRkYGGo0mz+uHHDt2jG7duj31ukSeD0tHZ/3riDsBomvYi8zseKjeAvbOgCsF3/96TtE9oKybW7EyDFY15Pb2OH6jS0fe54yWv0P+NrBEIkVhUr8edW9cRzVgAADBY8dy3bMuGSUsYfS8mMukLK1fk+CMLObdCcPBwYEePXTJPi6q7hO79jra3PL53tq6mNNxlCc3TkZw/kDlTvJlqlLTsGsvbv93ivTk54s1lEhkqNW6DYDc3PKLcf64xcfkanNZcLYcvAIEgToeHkRrVZCVSlBsKmfvxVfZ3wxRyatkeHl5FRhPB/DDDz+wdu1arKysOHfuHK1bP3JbWrVqFTVq1MDS0pJDhw4VWBvP1dWVLVu28PHHH6NSqejcuTPh4QUHRU+YMEFfp2779u3Y2toyePBgHBwc9Mfbb7/NgQMHiI0tnRS1n3/+OVZWVjg6OjJo0CAWL15MnTo6X38/P798rpubN2/Gw8ODhg0b5mnv1KkTM2bMoHv37lhYWPDZZ5+xceNGvQvmF198gYmJCUuXLuXLL7/ExMSENWvWAJCdnc2ePXvyxPiJlA2CIGDv9igmND1JjIN8YZFIdHX0ADaPLzA+z8LGhGY9awLw18ryfYB90VD37w9A+8u5TPtnmkFlESkeTl9/heflS8geJFO7O3AQMX/8gbaQLNhlQTcbFR+7OfLH/Rj84pJp0aIFTZo04ULmbU4nXSVuY8ElkcoCz5aOeHeoxumddwm/nVBu65YFrQf7IJFK8T+457nncnN9B4D7oWuf0rP0sDax5p0m77Dzzk7OR54v8/VMq+m8uNKuHWT6K7UB8A9JKPN1DYGgrarqayEkJSWhUqlITEzUx3YBZGRkcPfuXVxdXfUxZOVFWFQMTjkhuj8cGxVYJ68i0qdPHz766KM8ymRVZ9myZVy/fp358+cbWpQXBq1WS2SgziptZeKI1FyB1FzxzPMZ8rsu8pxc3Q5/jgVTG3j3Ksjz///5fnqSxOh0Jsxvi7FSXv4yviAk7thB2Acf8mcbgQ6fLaFdtXaGFkmkmGRHRhH17bck7d2LUd262H/wAWYtW5TL2rlaLcMv3uF6agZHX/LEQtBtrAIMy2hNrffbIbMqn/uyRpPLjh8uEBeeyoD3mmBdDu6iZcW2bz8jLOAmExctxagYuQUKQ6vV4nf8JawsW1O//sJSlLBocrW5jNgzglxtLht6b0BSSG6K0mDXxTDeWn+BE/V3Iev7Iy99dZgxrWrweb/6ZbZmaVOYLvMkoiWvApBHy64kCh7Arl27XigFD3QWTFHBK18EQcBMrStvkVuCZEMiVZB6/WHwckiLgS/toQArxMNsm35/ikXSyxLzB652Q/7V8uv+zw0sjUhJkNvb4fz9AuxmziDz+nWCx40jfPYccmJiynxtiSDwU90aRGfl4HX8ClKplBkzZmBsbMxuo3OEfne6zGV4iFQqoeeUBphbGbNtwXniI1LLbe3SptP4SWSnpz23NU8QBIyNHImM2o1WW36/txJBwocvfcj1uOusu/782UKLwkGl20RIC7mCnYXu9d7LEWW6pqEQlTwREZEKj9LKWv9ak10+6Z1FKij1B+kOgL9m5ztdrY4lZioFt05HEnK96qbGNjQShQK3XTsBmD0/lPvJ9w0skUhJsZ4wAc+rV7CbOZOETZu43eUVohZ8T24p1F0rCnsjOR2tdOWQZgWEolQqGTZsGKlCJiuM/yEjIL5M138cYzM5/aY1RqaQsnvxRTJSK+fvi8rOgbptO/Hfzs3PHZvn5qarTZqSUr4bZY3sGjGszjB+uvATUWlRZbaOiVyXkyImPRvSdL8RMSlVs1yTqOSJiIhUeARBwMalJgBpSYloDFz3ScTADF4OTcfDiZ9ga/7MvJ3G6srD7Fzoj6YKF7o1NEa1aqF+ayoAK74R45QrI4JUivWEV6l96iTqIUOIW7mSgLbtiF60CG0Zek6sb+jOcAcrVoTGcDohBVdXV33ys5N//o2mHJUtYzM53SfVJz0lmz0/XyI7s3J6jLQeOoLM1FT2Ln6+BCYqlS7LeExs+SdVeqvxWxhJjfjq9FdllgzFRmkEQKJWCSt7M6OrLi4vMb1yKvhFISp5IiIilQKZXI4gERAEgbjgYHKyyy/7l0gFpNf3un8vbYDgvOVkXLysqV5X5+L776aA8pbshcJh6psA9NoVQUhyiIGlEXlWpGo1Dh/PwnXnDsx7dCfml1+53bETsUuXltnD9vw61ZEJMPXaPXK1WsaMGYO50pyjWZe5styvTNYsDAdXFX3fbkRcWAp7f72EJqfybQ6ZW9lQq0VrgvzPkRQT/czzyOVqAAIDvy8lyYqPykjFp60+5XDwYQ7cO1Ama9hb6JS8s7m1IeoqPbx1yYhOBZZOksCKhKjkiYiIVBoErYCJVIlKYUtG/PO5pIhUciQS+DQGHBvC8m5wfnWe033eboSJuZwbp6pmrEVFQRAEzIYMQgt8uvNNQ4sj8pwYubri9MUXVP/jD6RqNVHzF3CjrhfJ//xT6mvJJAILPV0IzcxmkL8uudakyTrL/LbYYyRfiixqeKnj4Kai++vehN1O4NDya+VW0qE06TrpbYyV5vitW/lc81Sv/ioAGRlhpSBVyXilxit0qNaBH87+QJam9DdzBUFAEMBEqvv/dXuQ6GfSmnOlvpahEZU8ERGRSoMgl+iTE8kyZeRkVU0/epFiIpXDiD/BohrsfAv+W6Y/JQgC7UfUITtTw+FVYkmFssR5+gyQy+i0IYCEjARDiyNSCijbvozbzh1Yv/46Uhsb7k+ZSvDrr5P5oP5uaTHIwQoruZSTCalcTUlHqVTiM3Q4AL9uWV7u9cuqe1nRZZwXgRei8KuEXgDGZkqa9OzLjX+PkhBRcAms4uDm+jaCIOfOHcMkmnu36buEpYYxcOfAMpm/uqUpQQ5dARCC/JjbR1eaLLaKxeaJSp6IiEilQW5vhuJBmmuJICUmJJik8Eiyo9LIup+MJq3q+dSLPAVze5h0DCycYc97sH+W/pRrAxvkRlJunIwgK12M4ywrpGo1quHDaBqgxffQ/wwtjkgpYvfeu9Q6dhTbae+QesyPwN59uF6vPpqk0vOkONuqHgCd/7tJrlZLHS9PjKQK0oRMTm8+UmrrFJdazexpO6w2l4/c5+zeoHJf/3lp2qs/AMveee2Z55DJzLGx7kB0zGFyclJKSbLi46Z2w0Ptwb2ke0Sklr43RlJGNnJrV90f26foXTZP3KlaLpuikvcCIggC9++XfSa0tWvX0qdPn1Kft169epw8ebLU5y1rvvrqK958s/zcmd566y3Wri2/gqblicRUV//MysgBY40p2ixdoPzhw4cZPHhwue/+ihgYM2uYckL3+tTP4DsYAIlUwuAPmgGw48cLhpLuhaDmq1NINBdw+X4rmhxxs6UqIUgk2EyeTJ3z5zBr1xY0Gm691IKgkaPQlkISLFOphO89qwPwdaDO+vTBxx/irrVn/9WjhN4t/8yt3h2q0axnTU7vDOT6ifJ3WXweFMYmeLXtCMD9a1eeeZ5atT5Go0khMur5i6w/C2t6rMHSyJL5Z0vfmljb3pxcHpQsSw7H/kEphVUngkp9LUMiKnmViDp16tCkSZMSjZk7dy4TJ04sI4ny8qTyOHLkSHbt2vVccxYk/9WrV2nVqtVzzWsIZs2axeLFi8tlrfDwcPbu3cvw4cPztK9btw5BENi5c2ee9pUrVyKTyVAqlVhYWNCiRQuOHz9eojVzc3OZNm0aarUae3t7fvjhhyL7nz59mpYtW6JUKqlevTpbtmzRn0tOTmbixIlYWVmhVqsZM2aM/lxISAj9xwzGrl51arf2Zu32tcRl6nb6OjRuw+0bAZw/9l+JZBepApioYU4CuHeG24fg5C8AWDmZIZEKRN1LrrRZ8yoDMmtr4j4ah3s4XB0/olQe/kUqFhJTU1x+/x33vw4hValIP3eOG/W9ifjiy+feWBvhaE1jc1N+Co7iWFwyEomEfhOHYaJV8MeqpaSVcVmHgnipjytebZ34e/UN7pwvu5T+ZUH3qe/i4F6Lg7//hLaAeqLFwcSkOpbqloSFbSxl6YqHUqHkrSZvcSDoABeiSneTzkgm4Xp4EnT9UteQmQzA2XvlV76jPBCVvErCmTNnCAsL48qVK1y/ft3Q4ogUQE4FeqhZs2YN/fr1QyqV5mn39fXF0tISX1/ffGM6dOhASkoKcXFxdOrUqcQWsSVLlnDkyBFu3brF8ePHmT9/PocPHy6wb0REBIMHD2bu3LkkJCRw4cIFGjdurD//6quvolKpCAoKIjo6mnfffVd/btSoUXh6ehIdE822Hdt4/7NPCbhzR39+aN9BrFi9gtzMivP/IVJOCAKM3gpWbnDgIwjVBdIPmK7bHDu1/U5Ro0Wek14DZnK8sQL5f1eIWlD+mflEygdFtWrUPn0Ku5kzAYj39eVGXS/i//zzueZd3UDnPjfpahDpmlwsqlsx2KsbAPPnl39smCAIdPCpg6OHiv2/XyEhsvwVzWdFkEhoP2Yi8eGh+B/a+8zz2Nn1ICnpIomJ/qUnXAkY6DGQ+tb1+fDYh+Tklt5velqWBqWRDGrrPl/cO8mPwxoBEBJXef6fn4ao5FUSfH196devH6+88gpr1qzJc+5JC1qHDh3w9fXlyJEjfPXVV6xatQqlUkmPHj30fXbt2oWrqys2NjZ8/fXX+naNRsOcOXOoUaMG9vb2TJ8+Xa+8zJ07l5EjRzJkyBDMzc1p0aIFd+/eBaBrV10Aa506dVAqlfj5+bFy5Uq6dOmin9vf35/27dujVqtxcXHhzwc/CLt378bb2xtzc3Nq1aqlby9M/po1a+qtTBkZGbzxxhs4ODjg4uLC559/Tu6DXaui5H2SW7du8fLLL2NhYYG9vT0zH/x4AWzevJl69ephZWVF3759iYqK0svn4eHBnDlzsLGx4YMPPsDCwoJ79+7pxx49ehQPDw+9PI9bJf/++2+aNWuGhYUFtWrVws9PlzI6Li6OESNGYGdnh5ubG6tWrdKPWb58OTVq1MDc3Jw6depw5MiRAq9n//79tG3bNk9bVFQUhw4d4ueff2bXrl0kFRJTIZPJGD16NJGRkcTGFt8/fc2aNcyYMQM7Oztq1arFa6+9xurVqwvs+8MPPzBu3Di6d++OTCbDxsZGXyPp2rVrnDt3ju+++w4LCwvkcrleAUxJScHPz4/Zs2fr2/v378+OvfuIz4xEYmtEu84dOHjkL3JTRSXvhWXiYTB3gj86gf86HNxUKC2NuOpXudyuKhuCIHBybGNCbCBuxQoybpZvMWWR8sV6wqvUvXEdp+++BSDi09mEz55DTvyzWUNsFXJ2N6lFkkbDOzeCAXAb0oSaCgdyc3P550DBm4ZliSAR6P66Nybmcnb95E9yXEa5y/CsVPOsh3uzlpzetumZa8va2+tCbkLDNpSmaMVGKpHywUsfEJYaxpBdQ0pt3uqWJtyMSAZrD5Cbws09tPawBuB8cNWx5olKXiUgJyeHjRs3MmzYMIYPH866deuKZWHp0KEDs2bNYuzYsaSkpLBv3z79ub///pvLly9z5MgRPvvsM+48sIR8//33+Pn5cfbsWW7evMn58+dZsmSJfty2bduYOnUq8fHx1KlTh7lz5wJw8OBBAG7evElKSko+BSMxMZGuXbsyevRooqOjOXfuHHXr6goWm5ubs3nzZhITE1m4cCHjx48nIiKiSPkfMm/ePK5evcr169c5fvw4vr6+eRSLwuR9ktmzZ9OrVy8SExMJDAxkyBDdzeTMmTNMmzaNDRs2EBkZiaenJ1OnTtWPCwoKQiqVEh4ezhdffEGfPn3YtGmT/vzD/7cnCQwMpH///sydO5f4+HgOHz6Mo6Mu8Hf06NE4OTkREhLC3r17+eijj7h06RKpqalMmzaNv/76i+TkZA4ePEiNGjUKvJ7Lly9Tq1atPG0bNmygQYMG+Pj44OzszObNmwscm5WVxapVq3B2dsbGxobjx4+jVqsLPR5y7do1GjRooP/b29ubq1evFrjGmTNn9H0cHR0ZO3YsiYmJAPz333/UqlWLsWPHYm1tTcuWLTlxQhdvpdVq9cdDtFott+7cQYuWmPv38Gpcn4DA22RmV60sWSIlwNQKJj9wN94+Bc6vpkHH6mhycjm9K9CwslVxpjWZxpfDdB4Ed/v1e+YHfpHKg6pvXzyvXsHu/fdJ2LSJgNZtiFqwgNxncLFspjLjTRd7dkYlsDE8DkEiMOr1sdjnqvj35IkSbTyWFqYWCgZMb0JSTAZ7fr5IZiVK8NV6yAhS4+P4d+Oap3cuALlchZPjUKKj95Oba5jrbmTXCIDbCbdJyiqdhD92FsbIZQ+ydWenwbmV2Jkb46gyxj8koVTWqAiISl4R5GZpyApNKdMjN+vpMSIHDx4kKyuLbt260b9/fyIjI/VWn2flww8/RKlUUr9+fRo0aMDly5cBWLZsGV988QW2trao1WqmT5+eRxno3LkzHTt2RCaTMXz4cC5evFis9Xbv3k2tWrWYOHEicrkcW1tb6tevD0D79u2pU6cOEomEnj174u3tzdmzZ4s174YNG5gzZw6Wlpa4uLgwffp01q9fX2J55XI59+7dIyIiAjMzM1566SVAZzmbOnUq3t7eyOVyPv30U3bs2KG3bhoZGTFr1izkcjkmJiYMGzZMr+RpNBq2bNlSoJK3fv16+vTpQ+/evZFKpbi4uODh4UFERARHjhzh66+/xsjICE9PT0aMGMHWrVsB3U751atXyczMpEaNGri6uhZ4PQkJCSiVyjxtvr6+elmGDRuWz2Xz6NGjqNVqnJ2dOX36NNu2bQPg5ZdfJiEhodDjISkpKVhYWOj/trCwICWl4KxcoaGhrFmzhi1bthAQEEBKSgrvvfee/tzBgwfp2LEjERERTJs2jb59+5KQkIC5uTlt2rRh7ty5ZGZmcvbsWTZv3kxGZhZGZmYApEXraislJiUWuLbIC4KZNbztr3u98y28FVuRyARunowQE/OUIY3sGhFnIbCwr+7xIqBVa7QaMRayqiNIpVi/Oh7XHTtQduhA7B9LudmkKZFff1PiuT50daCLtQXz7oSRqtEgszFheK/B5KDBd9lq0tPTy+AKisbSwYyBM5sSG5rK0vf8yMmuHJ9pu5pumNvYcn7vDqKDg55pDkenweTkJJOUVLznvbLg8JDDyAQZK66sKJX5nFTGJGc8UFprvKz7NysNb2cVAZHln020rBCVvCLIiU4n6qcLZXrkRKcjkQhFyuHr60v//v1RKBSYm5vTs2fPAmOqSoK9vb3+tampqf5hPDg4mB49euitNCNHjtS7JxY17mncv3+/UIXk+PHjtGnTRp9k4+zZs8XerQsLC8PFxUX/d40aNQgLe+SSVVx5v/vuO7KysmjUqBGNGzfWJ4wJDg7myy+/1L8f1atXRyaTERGhS/Th4OCATCbTz9O9e3du375NYGAgR44cwcrKKo9162nvR3BwMBkZGXolW61W89tvv+mVz/Xr17No0SLs7e0ZMmRInmt9HJVKledab926xdmzZxk6dCgAw4cP5+jRo3ncfNu3b09CQgLR0dEcOXKE5s2bFzh3YSiVyjwuoElJSfkUzYeYmJgwfvx4ateujVKpZNasWezdu1d/rmbNmkyYMAG5XM7w4cNxdHTk9OnTgC5ra0BAANWqVeONN95gzJgxVKtWDUsHJwBSUlMBsDA1L5H8IlUQK1eYoat1JTsyh67DHUiOy+DvVWJcc1lSw6IG/9aTkOCjc+OP+eVXA0skUl4Y16lN9V9/wflHXeKtuFWruDtoMCnH/y32HIIgMNfDiVRNLu/dCAHAskV1RlTrTlJqMnu2PV9Ct2fF0V1F+xF1ADi0rPIUS/eZ9z/kxibs/uEbcp9hw8VcqfO6Cg5ZXtqiFRs7Uzt6ufVi6eWlXIl59oyhD1Eay8nWaMnM0UCLSbrGoOM4qowJjK46Sp7s6V1eXGS2Jti91fjpHZ9zDZIKdytLSUlhx44dSKVSvbtiamoqcrmcn376CSMjI0xNTfPsbEVGRupfC0LRCuSTODs7s3HjxhJn8Xwa1atXLzTT5ujRo/noo48YN24cCoWCVq1a6Xfanya/k5MTwcHBuLu7AzolycnJqcTyOTo6sny5rvDqzp07GTp0KPHx8Tg7OzNv3jy9lelxbt++nU8+hUJB//792bRpE3fv3i3Qige69+PatfwFmp2dnVEqlcTHxxd47T179qRnz56kpKQwefJkZs2axcqVK/P18/b2JiAgQG8tfbgp0LJlS32f3Nxc1q1bx/vvv1/4GwP4+fnlied8kofKpJeXF5cvX9YrtVeuXKFevXoFjqlfv36e63v89ZPnnjxfo0YNdu/erf97xIgRtGvXDgDbGq6c37UDD1d3FFrx9iYCKO1gkh/81ha3Qy2RyrZz41QEDbu4YFOt4E0IkedjZ/+ddNzUkddr/s2hMaOJ+flnTBo1RPmEG79I1cWie3fMr3cjaedOwj74kJCJE5FaW2PepQsOc+c89bfdw9SYV6vZ8HNwFO+7ZuBuaozHyGY0nX+XM7eu4Xb+fKk/pxSH+u2cMbVQsO+3y5zYdoc2gzzKXYaSYm5lw+CP5+H70TTO791Bsz4lKzAulZoCEB19AK02F0EwjH1oZvOZ7Lizg/ln57Oy+8rnmktloivDlJCWjX3t7rrG4z/g3fAPVp28R2pmDmZGlf8ZQrTkFYFEIUXhrCzTQ6KQAoXf7LZu3YqlpSU3b97E398ff39/bty4gUwmY88eXe2Shg0bsmHDBjQaDatXr+b27dv68XZ2dty7d6/Y7kmvvvoqn3zyCeHh4Wi1WoKCgjh69GixxtrZ2REUFFTguV69enHr1i1WrFhBdnY20dHRXLmi241JTk7G2toauVzOli1bOHfuXLHlHzZsGPPmzSM+Pp6QkBC+//77fGUDisPmzZsJCwtDEATUajWCICAIAuPHj2fx4sV6N8+4uDh27NhR5FwP4ya3bt1aqJLn4+PDrl272Lt3L7m5uYSEhHDnzh2cnZ1p1aoVn3zyCWlpaeTk5HD+/HmuXbtGZGQku3fvJj09Xa/cP5k98yHdu3fPUwJh7dq1zJ8/X/8Z8vf358svvyyWRbht27akpKQUejxk1KhRzJ8/n+joaG7fvs0ff/yRp/TB44wbN44VK1YQGBhIWloa33zzDb169QJ0saRarZZVq1ah0WjYvHkz4eHhtGjRAtDF/qWkpJCZmcmaNWs4ffo048ePB0Aqk3Hx+g06tWsPILrliehwbAADlyII4KOejFQKp3eKsXllhUSQMLvlbABO9aoJQPjHnxhQIhFDIAgCqn798LxyGbsPP0ATG0vCxo3cqOtFit/TS/S8V8MeB4Wc8ZeD0Gi1SExkdBzWDXeNA7t27iI8PLwcriI/bo1saT3QA/9DwZzcVjky9tq7edCgS3eO+i7n/vWSW8Lq1P4MgKSkS6UtWrFRGal4p8k7XIy6SHRa9HPNZSLXPTuFxKWBTKFrDD6BtVL32i/g+eavKIhKXoWg8AdRX19fJk6ciKOjIw4ODjg4OODs7Myrr76qf0D/4YcfWLt2LVZWVpw7d47WrVvrxw8ePJiUlBQsLS3p3bv3UyWZOXMmrVq1ok2bNqhUKvr06UNISEixrmL27NkMGjQItVqdr8aaSqVi//79LFu2DBsbG5o1a8bNmzcB+Omnn3j77bextLTkwIEDtG/fvtjyf/rpp9SpUwdPT09atWrF8OHDGTt2bLHkfZwzZ87QtGlTlEolU6ZMYf369RgZGdG6dWvmz5/PmDFjsLCwoEmTJvz7b9FuJ507dyY8PBwHBwd9cpkncXV1ZcuWLXz88ceoVCr9GNApZPfv38fNzQ07OzumTZtGeno6ubm5fPfdd9jb22NnZ0doaChffPFFgfOPHj2a7du3o9FoOHHiBFFRUbz22mv6z5CDgwNTpkzh9u3bXLpUOjftKVOm0L59e2rVqkXr1q1577336Ny5M6CzsCqVSoKDdRnTXnnlFd59913atGmDi4sLCoVCnyJbLpezY8cOFi9ejEql4uuvv2b79u36JC979+6lRo0aWFtbs3r1avbu3YuRkZFejj83b2H8KJ1ymR2aQm66mGVTBGgwBF4/ikoWgYUQTNClGAL9q8YPeUWkc43O1LOux8Kbf6AeP46cqCjS/f0NLZaIARBkMqzHjcPz+jVdMXVBIOS117j/7rtkP+Z59CRmMik/1XXhVloGHweEAmBS24ou9V/GWCtnw7r1BqmfB9D4FRda9HXl/IF7XDkWahAZSsrLPrpno5Ob1z+lZ36cnX0AuOBf8uer0mRI7SHkaHP42f/n55qnpo3OOpmckff5oLW7LsNmdHLVSNwmaF+wre6kpCRUKhWJiYl5kkRkZGRw9+5dXF1dMTY2LleZwmPicMx6kHbfqWzdQ0VeHN58801at27NiBEjDC1KuXH48GF+/fVXNq5bjybqUaprRbVH8XmG/K6LVADig0ha0IU1Mb8DMGFBW4zN5AYWqmpy7P4x3jj8BlM9J9Bh7G9YvzYRu+nTDS2WiIHRajREff89iVu2onmQvKvmn39i4l2/wP5f3Qnj55AodjWuRROVGZrUbG598Q8bjXRZl+fMebr7Z1mg1Wr5e9V1bpyKoPPYuni2cix3GUrK2V1bObZ2JWO+W4SNS80Sjb185S2iovbSvt0lZDKzshGwGHxx6gs239rMrv67qG5R/ZnmyNHk4vHxPt7tUpt3utSCcyth1zswI4DuS2/QpIYlXw3wLl3BS5HCdJknES15IiJVlMWLF79QCh7orKibN29GqpAjszclMzcNrVZLxJ2AZwo4F6mCWNbEYuYR+lp/CYDfrwcMLFDVpV21djgrnVkTuAmZuxuJ23eILtQiCFIp9jNn4v7XIYzq6BKZBA0Zwq3WbcgpIOna+66O1DI1ZvZtncVMaibHuWtdPHN08fcnT54sP+EfQxAEOo2pS93WjhxefR3/v4INIkdJaNS9Dyo7e3Z+/3WJv4se7u8DAqFhJbcElibTm03H0tiSxf6Ln3kOmVSn/kgfakG1dEmiCD6JhbGc4wExzyllxUBU8kRERKokErkUEwsV2gfu0FFBYgyWyANU1aj+xnzMpZHcum1K/JavQFQ+yoT/tfsfyVnJ7Btag5zoaJIeZNEVEZEqlbjt2E6t434gCGji4gho8zJxvmvRPla8WyYRGONkzdmkNFaE6h6+LTpWp3fP3tjnqjh06FCxw0pKG0Ei0HGUJ427uPDv5ttc+scwchQXmVxOvQ5diA8P5c65MyUaa2JSHaXSk4iIovMSlDUmMhPebPQme+/uxT/K/5nnsTM34krog4zgFk5g7gSh5zkXHE9wnGHcgEsbUckTERGpsggSAYlMiqSQBDUiLzBOjek1oxMAGw41hc/UkFl1UmdXFLxtvelRswd/4Idgakrili2GFkmkgiGzsaHu9WvUWLcWk0aNiPziC+4OHkLqmUdKyDhnGwA+CbhPZm4uAGatHOnt2A6tVss637XExcUZRH5BItBqoDuuDW3w2xjAzVOGSQhTXFoMGIrMyIgz2zaVeKxL9QmkpFwjNdWwm6b9PfpT16ou35z5hlxt7jPNoTSSEZX8KKwDp0YQfpHRLWsAkJZV+eP5RSVPRESkymOqUgOQnpxUdEeRFwprV3ta9HUjFzn3M73ha2eIrRzZ8ioTExtMBOBMG2tST5wkNyPjKSNEXkRMmzSh5ob1uKxYDrm5BI8Zy3XPuiTt3YtEENjTpBa5WnjvRgharRZBEHAe24BRsk6kZ2awcePGYtfuLW0EQaDHJG+8Xnbir5XXufZvwTVsKwKCIPDKxDcIv32T4CslS7xmZ6crN3D12rQykKz4SCVSPnzpQ67GXmXH7WezLFqYyIlJyXrU4NgQwv3p4mkHQEhceiEjKw+ikiciIlLlMVWpAEiMKjyTm8iLiXfHagAczPwMrcwMfmoCt/8ysFRVi9qWtRlVdxTbHXQPvlHzFxhYIpGKjFmrVrju2I56yBAAQt+bznXPutSLCOWr2tXYEhnP0vs6t02JqZzqIxsyIPMlIiMj2bBhAzk5hrHACBKB9iPqUKelA8fW3yLgbMX9vanbtiPmNrb8OW9WiWLzpFITAJKTr6J9RgtaadHEvgk9avZg8YXFZGpKng3T1twImeSxhD3VmkN6PB6yCAAikir/ZpSo5FUAxEgQEZGyRSKRYmSmywaWEpc/sF/kxcXIREaHkXVITxPYYbxd1+g7CC5vNqhcVY0ZzWaQWMsegHhfXzJu3jKwRCIVGUEQcJz3OXUu+iO10blq3u3Xj56+yxlkbc73QREkZuuUOSNXFa5dvemd2ZTw0DDWr19vMEVPItElY3FrZMNfK69x/4ZhXEifhiAINOs9AIAbx4+UaGzDBksBiIvzK22xSsyURlOISo9i/fWSJ4OpY29OYEzqowZbXRIg2xBdMq6AyORSkdGQiEqeiIjIC4HaXpfeOj0lGY2BHgBEKib12jpjYWNM6O0UEoY/yNS3ZQLE3zOsYFUIqUTKKK9RjH1PSo5cQuxvvxlaJJFKgMTIiNrH/XD/6y8sR40i3teXIZPGkpiVzfeBj2LfzDtUw0GrplVWbe4F3WPLli0Gy+QqkQh0HutFtdqW7Fp0kdvnogwix9No0qMvNRo05r/d20r0Xllbd8DE2IXo6ENlKF3xcFW50ql6J1ZcXUF6TsncKzNzdBm3czQPLJIWzgBIk+4D8MWe66UnqIEQlTwREZEXAkEQsHTUpdxOja+Yu6sihmPgzKYAbPg5Cs27ASCRwdLOkBxhYMmqDuPrj6dt7W5cqKklKa5iJ6cQqVgoqjnj8MnHuO7Yjn18LBN3bOC3sFi2/31cH5/nNLcV9dTutFF4cf36ddauXWsweaVyCT2meOPayJaDS69w1S+0QpYPadF/CNFBgVw79nexxwiCgI1NJ6KiD5Cba/ii4TOazyApM4m110v2/+3poKsvF5+WrWsQBKj2EmSl0K2ePXUdC68/V1kQlTwREWDy5Ml89913ZTL3ggUL+PLLL8tk7opKfHw8Xl5eZFSwBAtGpmbI5LrC1+f3GjYNtEjFwkxlRPdJ9dFk53JgXQT4bITUaFhQB86uMLR4VYbP23yO1sSIyPj7hhZFpBJi5OZG3RvXef/1MdSMi+bDFA2nm7UgdulSsgJvYT2qLrUSbXE0teX27dscPXrUYLLK5FJemeBF/XbOHFl7k/2/XSE7s2LVa61erwHVvOpz6I/FZKalPn3AA5ych5OdHUdYuOGz5VY3r85wz+H8ful3EjMTiz3O3sIYgOjkxxRVp8YQfBp3WyVJ6dmlLWq5Iyp5lYCaNWty/PjxZx4fFBSETCYrNXkEQeD+/ar1A71kyRLef//9Up83MzOThQsX8sYbb+RpP3HiBIIgsGjRojztR44cQSKRoFQqMTc3x9vbmx07Sq6MfPPNN9ja2mJlZcX7779f5A7irVu36Nq1K0qlEnt7exYvflRg1M/Pj6ZNm2Jubs5LL73E5cuX9ecmT56MUqnUHwqFAm9vbwAsLS3p2rUrf/zxR4llL2vMrW0BuHhoH9kVTAkVMSzuje3wbOnA3YsxBKU3grfO607sngZBz34PFnmEmdyMatZuKIOiCU8RrXkiz4ayfn029WxHrqkZ342ZRMSC77k7cBB3+3ZCZh1Dzzhv2tR/iX/++Ydz584ZTE6pVEI7nzr0mOxNoH80O368QPrjGR0rAK+89haa7Gz2LPpfsccozWqhUNgQF3usDCUrPhO9JyIgsPD8wmKPsVYqAMjSPJZAxqUFJAZTQ55IdHJmhbS+lgRRyRMRKUN27NhBs2bNUKvVedp9fX2xtLTE19c33xg3NzdSUlJITExkypQpDB8+vET1f/bu3cvPP//MqVOnuHbtGvv27WP58uUF9s3IyKBHjx6MHTuWuLg4AgIC6NKlCwBxcXH079+fTz75hISEBN544w369etHdrZud2vJkiWkpKToj86dOzNo0CD93D4+PixdurTYcpcXMoVCX1Lh0uEDhhVGpMLRdlhtLB1M2fPLJbB2h/eug9QIVvaCNQMMLV6VoO4rQzHLhCNfvGloUUQqMS4mRnzn7c6JBk1ZtnkPDnPnkpucTPwfH0NGCHX9LWhcvyG7d+/mzh3DlkZxa2RL7zcbEnk3ieUzjpOVXnHiwq2cnHFwr0XQxfOkJRXfEuZg34+ExHNotYa3TlqbWNPdtTtbA7YSklS8gvRKI53xI/Fxi52FLttyvdSTZGlyH7lyVlJEJa+SMW7cON5++206d+6Mubk5Xbt21SsA0dHR9OjRA7VajY2NDT4+PgB07doVjUajt7gEBwdz+vRpmjdvjoWFBTVq1OCnn37SrzF37lxGjhzJkCFDMDc3p0WLFty9e1c/F0CdOnVQKpX4+eXPrtShQwdmz55N06ZNUSqVTJgwgfDwcDp16oSFhQWDBg0iM/OReXzz5s3Uq1cPKysr+vbtS1RUVJHXU1g7wMCBA7Gzs8PKyoohQ4bkUY527dqFh4cHVlZWfPbZZ3kspOPGjeOLL74AYOXKlXTq1IkpU6ZgYWGBl5cX58+f189z+vRpvL29sbCwYPLkybRv375AZQ1g//79tG3bNk9bdnY2mzZtYtGiRZw/f55btwrOMieRSBg3bhwZGRkEBha/8OiaNWuYNGkS7u7uODg4MH36dFavXl1g3xUrVtC6dWtGjhyJQqHAwsICT09PQGdtrFGjBgMGDEAqlTJ27FikUmmB7i8RERH89ddfjB49Wt/WrFkzbt++TXi44XbrtVpAo0WbkzfVs1Suu7kfWf0HcWFVyyot8nwoTGQ07FwdgISoNLBwglkPal7d+RsubjCgdFUDp4HDyLAwotH2a9xPFr9/Is9Of3tLPnZzZF1UIqc6d8Pz2lUcPptL+sVV5CbH0eiUgLtzNXx9ffXPMYaiRn1rOo2pC8COhf5kViAFot/MTwE4srr4G7N29r3Izo4jNtZwLrGP8+FLH2JlbMX/zv6vWBY4KzOdJS8h7THLqlNjACwUutIKYQmVu1aeqORVQjZt2sQPP/xAdHQ0Go2GhQt15ukFCxbg6upKTEwMoaGhvPXWWwAcPHgQqVSqt7i4uLggl8v57bffSEhIYMuWLXzyySdcuHBBv8a2bduYOnUq8fHx1KlTh7lz5+rnArh58yYpKSn5FJiHbNmyhe3bt3P79m327NlD3759+emnnwgNDeXWrVusW7cOgDNnzjBt2jQ2bNhAZGQknp6eTJ06tcjrKawddEre3bt3uXv3LsnJyXz++ecAREVFMWLECBYvXkxERAQZGRmEhoYW+h77+fnRrl074uPjGThwIO+++y6gc78cOHAg06ZNIzY2lgYNGnDixIlC57l8+TK1atXK07Zv3z6kUik+Pj5FKogajYYVK1ZgZmaGh4cHwcHBqNXqQo/g4GAArl27RoMGDfTzeHt7c/Xq1QLXOHPmDFZWVrRq1Qo7Ozv69++f53158kap1WoLnGv9+vW89NJLuLu769ukUikeHh5culSyYquliUQhBcin5AmChJcGDAVgxbuTyUg1TAFdkYpJTW9dyvYja2/qGqQy+CQKbD3hwMeQJLoZPi+WI0cCsOCfzyq9S5SIYZlc3Q4LmYSZN+8Tr8nFcthQPHZvQ6YMRCqz5uXb7tjl5LB+/XoiIw1bu65ua0eGzmpOfEQqy6b7kRhdMZQIpaUVXm07cd3vH2JDi2cJszBvgFJZl9CwirHxZSIz4a3Gb/FPyD/8E/LP0/vLdc8H92LTHjXKFKBQYp9yDYCg2OLHKVZERCWvCLKysggLCyvTIyur5L7ZQ4YMoUGDBhgbGzNo0CAuXrwIgFwuJzw8nJCQEIyMjGjdunWhczRp0oQmTZogkUho1qwZPXv25N9//9Wf79y5Mx07dkQmkzF8+HD9GsVlwoQJVK9eHQcHB9q3b0+rVq2oV68e5ubm9OzZUz/f8uXLmTp1Kt7e3sjlcj799FN27NhBTk5OoddT1HWOGjUKMzMzVCoV7777rt5St3fvXpo3b0737t1RKBTMnj0bQRDyC/4AT09PfHx8kEqljBgxQi/vyZMnMTY2ZsKECcjlcqZOnYqjo2Oh8yQkJKBUKvO0+fr6MmjQIKRSKcOHD8+XAezu3buo1Wrs7OxYtWoVW7ZsQa1W4+LiQkJCQqGHi4sLACkpKVhYPMoKZWFhQUpKwUpMaGgoq1atYtGiRQQHB+Pi4sKYMWMAaNWqFUFBQfz5559kZ2ezbNkyAgMDSU3Nf9Nbs2ZNHiveQ8zNzUlMLL77R2kjyAu/xdVr14kOY14D4OdXh5OVnlZoX5EXCzO1EUorI0JvxpOV8cCtSmYEPhtAkw0/eMGVrYYVspLjNGgEAO5r/+XAPdFtWuTZkUsEjr7kSbJGw+wAXRZLiZkZTl9OQ2YtRYaUdmcjIDmZFT//TEyUYUsa2LqY02OyN1ot+H56kqTYiqHotR6q+04e+OXHYvUXBAFTUzdiYg6TnR1fhpIVn/4e/XnJ4SUW+y9+6uaR5EEh9Nwn+2WlYHRFp7jmUQArIaWXjaMKEhMTw++//16ma7z++uugMC7RGHt7e/1rU1NT/QP8zJkz+fTTT2nfvj2mpqbMnDmTCRMmFDjH1atXmTZtGv7+/mRlZZGRkaF30ytqjeJiZ2enf21iYpLv79hYXUHq4OBg1qxZkyezpUwmIyIiotDrKaw9JyeHGTNmsG3bNuLj49Fqtdg8KKIaERFBtWrV8shgbW1dqPyFXX9ERATOzs55+j759+OoVKo8711SUhK7du1i//79AAwaNIg33niDEydO6JVVV1dXbt++XeicT0OpVJKUlJRnzScVzYeYmJgwYMAAmjdvDsCcOXOwtbUlPT0da2trtm/fzowZM5g8eTJdu3alS5cued5H0H2Wrl27xrBhw/LNn5ycjEqleuZrKWua9urH5b8PEHs/mCWTxvDaLyswUZobWiyRCkDLvm78tfI6uxb5M+j9ZrpGK1eYcAB+aQmbx8P1nTBkpUHlrKwoqjljOWYMnVevZuOX0+n+R3dDiyRSiXE0UvBt7WpMuxFCHTNj3qqh+w23n9GKuA03QRhDr3+/5VDzOqz89luGWFhQfeZMJKamBpG3uqcVPrNbsOnr/zi49CoDpjdBKjOs3cXCxo42w0bz78Y1RN69g72r+1PHVKs2mqioPdwJ/B7POvPKQcqiEQSBKQ2nMP7AeA4EHaC7a9H3FU8Hc+JSCza2mBvJ0ORWbi8DUckrAhsbG50SVsZrxCSVjquYhYUFCxcuZOHChZw6dYpOnTrRsWNHpFJpvr5vvvkmbdu2ZefOnZiYmODj42MQlxlnZ2fmzZvHe++9V+D5gq7Hzc2twHY/Pz+OHDnCiRMncHZ25sCBA0yaNAkABwcHDh16VLgzIyNDr2iWBAcHh3xunkW5fXp7exMQEKD/e/PmzWRkZDB06FC9JTE3NxdfX98iLa+gU4i9vLwKPX/t2jVcXFzw8vLi8uXL9O3bF4ArV65Qr169AsfUr18/T8ycIAh5LJzt27fnv//+AyAnJwcPDw+9QviQNWvW0KtXLywtLfO0azQa7ty5o8+4WVEZt+AXrvxziANLFrJ21rtMXFTxksWIlD91Wjpy4a8QIgKT+G/PXZr3ctWdsKsLMwJgfi24ug1C/oP3CnaHFika+48+5Ozp7QzzS+LvQ3/Q6ZXXDC2SSCVmuKM155LS+Ck4kuGOVtgq5AiCgLqvO1lBSdj1ms2AWuGsuXSBFVotw7p2w/Hdd1ENHFCkZ09ZYeVkRreJ9dj762X2/3aZ7q97Iy3C+6Q8aN53EP4H93Bk1R8Mm/vNU/tbqnXPA6Gh6yqEkgfQzEG3KTfz2Ey61uyKRCj8PTVVSLkb84R3Urv34dh32CnlJGdUnLjJZ0F01ywChUKBk5NTmR4KhaLU5N2zZw+BgYFotVpUKhWCICCVSrGxsSE3NzdP2YPk5GTUajXGxsb4+fmxZ8+eYq9jZ2dHUFBQqcg8fvx4Fi9erHeHjIuL05cMKOx6CmtPTk7G2NgYS0tLYmJimD9/vn6dHj16cObMGQ4ePEh2djbz5s17JqW2VatWpKens2LFCnJycliyZEmRiUW6d++ep/yFr68v06ZN4+LFi/j7++Pv78+KFSvYtGmTPmtlYbi4uOTJZvnk8dBdc9SoUfz2228EBgYSGRnJ999/r3fBfJJRo0axc+dO/P399e9Lx44dMTExAeDChQvk5OSQmJjI9OnTadGiBXXr1tWPz83NZe3atQXOf+7cOVxdXXFyciryusoDTXIWWq0WTUoW2fEZ+f7v63d8hXodupAYGcFfy34lO8vwBV5FDM/QWboHmDO77qLJfiyuU2kHcxKgxsuQdB/mqiE3t8A5RApHEAS6rta5amo++8HA0ohUBT5wdSQpJ5eXT9/Qt0nN5FiP8SI3LQd1Rm169eoFwD/t2nH/00+5UdeLjJs3DSKva0NbOo72JOR6PDsWXnjkHm4gpDIZ9Tt04f71K1z/t3gJVWxtddaynJyKE9u+oP0CAA7eO1hkv6SMnPwKvr1uM72J5BZhCZW7zJKo5FUASst+duvWLTp27Ii5uTm9evXixx9/pEaNGpiZmfHhhx/SqFEjfYKOb7/9lp9//hkLCwt+/PFHvdWnOMyePZtBgwahVqufq34fQOvWrZk/fz5jxozBwsKCJk2a6GMDC7uewtrHjBmDpaUl9vb2tG3blu7dH5np7e3t8fX1ZcqUKdjb26NQKLC3t8fIyKhE8hoZGbFlyxYWLFiAlZUV/v7+NG/evNB5+vXrx5kzZ0hMTOT+/fv4+fnx9ttv4+DgoD98fHwwNjZm3759z/5GPkavXr2YMmUKL730Ep6ennTr1o1XX31Vf/7xrKh169bl559/pn///tja2hIQEMCqVav0fb/66iusrKyoWbMmKSkp+UoiHDlyhPT0dHr27JlPjvXr1/PaawbemZfqbt7a7FyyI1LRJGSizdRAAS4YHcZMBODiwT0sGj2I36eOJz0luVzFFalYSCQCgz5oCsDv7zzxwCMIMG43NHsV0MKiRpAUVu4yVnYUKjW3e9SjWoyWU8ufbjkQESkKG4WMPrZqEnM0bI98FCemcFai7utO+qUYvITqDBs2jCiFnMtjdRuUd/v157pnXXLiyz+2zKuNE33ebkjM/RR2L75IdpZhSxK8PHwM1bzqc3T1UjLTnh6TVsvjIwBiYv4ua9GKTdeaXWnj3IZf/X8lV1v4Blxte2X+Df/qLQBwlcUSllgx4iWfFUH7gqW1SkpKQqVSkZiYmCc5RUZGBnfv3sXV1RVj45LFyD0voTFxOGfd0/3xIH2rSNmSmpqKWq3m3r17z2Vp0mq1VKtWjT///LNQd8v58+eTlZXFrFmznnmdykZCQgJt2rTh3Llz5f59epLs2HS06TlITGUIRjJSo5O4nxKBm4d7PtlSE+K5eeIY/6zSFXFXWlrRd8bH2Lt5IJHkd3sWeTH4ebLu4WX8dy9jalGA98W5VbDrbd3rScfAsWE5Slf5ychK49/2TXGKB+X8eVTvPdjQIolUYjRaLaMuBfJPXDI7GnvQQv0oJj1i/llyYtOxn9aEf6//x5EjR2jWpAlu73+AAAhyOQ5zZqMaOBBBUr52kLDbCez66SJWjmb0f68xcoXhfnPiI8JY/s7rtB4yklaDfZ7a/9TpHhgZ2dO40cqyF66Y+Ef5M3rfaL5t+y093fJvRAO8t8mfozejOffpK48aczXwuRU7nd9jUXIH/nqvfTlJXHwK02WeRLTkibwwHDhwgOTkZNLS0vjggw9o3LjxMyl4R44cISYmhqysLL799lsEQaBZs2aF9p8xY8YLpeABqNVqrl69anAFD0CmNkLuYIbMygThKYHtZmpLmvTsx/SNu+n51gwy09JY9/F0fvDpx7k9O8pJYpGKxqh5LZHKJKydc4rcggLxm46F4et1r39rBwGH8vcRKRRjhSk1V63ivJtA3Eezybwv1s4TeXakgsCK+q7YKWS8eiWIrMdcqW3G1wOpQOzqa7Rr+TJ9+vTh7PnzhCz8EY+/D2Ps5UX4J59yw6se8Rs2lGuuAicPNX3fbkRceCp7fr5EjgEtepYOTjTs2ouzu7eRnfF0l0Vbmy7Exf1LRkbF8WZoZNcITytP1t1YV2iftEwNKlN53kaJFJQOVEu7TnAlz64pKnkiLwxHjhyhRo0aODo6cu3atULr0z2Ny5cv4+XlhbW1NVu3bmXr1q2lGlspUroIUslTlbuCqPtyB95YvoFXXtfVYTyy+g8WDOvN/l9/5O6Fs6UtpkgFRmVrSrNeNclKz8H305MFd/LsCeMfuFyvHQz/iQl8SoJ77ZcImjGQTKmW6z6DDC2OSCXHWCphiVdNYrNzGHExUK+syaxNsH2tAZqUbOK3BNC0aVNatGjByZMnuZ2YSM2NG3CYMxuAiLmfcaOuF6mnz5Sb3I7uKnpPbUDk3UT2/XbZoIpe8z4DyUpPY9u3nz21b40ak5BKTQm5v+qpfcuTyQ0mczH6IucizxV4vraDOYHRBdTCEyRYaeORS8s/IU9pIip5FYHK/RmqNHz99dfExcWRmJjI33//Te3atZ9pnrfeeouoqCiSk5M5c+YML730UilLKlLW5KYX74dTKpPRoHM3pvzxqJbh1SN/sfWbuez68duyEk+kAtKsR02c66hJjs0g5EZcwZ1qtIbpt3Sv90yHixWjSHBl4eNOXxDboDpG0UkEbnm2TTgRkYe0tlTykasjxxNS+DrwUYI0oxoWqLrXJP1yDKlnIujatStubm5s2rSJgIAALH18qHvjOpajRgEQPHYs9996m6xysjA717Gk55QGBF+NY9v3F/ImfSpHVHb2WNjaEXLtMjlPqekskymxt+tJWNhmg2RqL4wO1TtgKjNl5ZWVBZ7PzNEUrMhZOGEs0ZCZk1uhrqekiEqeiIjIC4Mge5iIRUPSkRC0xayBY2qhYvrG3UzfuJsJC3XxerdO+vHfLrEg9otEr6m6WLsDf1wpvJO5PcwM1L3eNgmuiW6+JaHdH7rvVObHX5JdROZiEZHi8E5NeyZVs2VRcBRLgh8VQTdr6YiihgXxO++QE5rKyJEjUalUrF27Vl+n1uGTj/G8chmbqVNIPXOGO11eIXzuXHKeofxSSale14oB0xsTez+FnYv8DZZ1c9AsXVmEG8XItKlWNyMnJ4HU1ICn9i0vpBIprzV4jWOhxwhOCs533s3GjGyNNn89vOovYZYZTU6ulsycyps5WVTyREREXhgEqQSpuc7/Pu1cJLnJRe9OFoTawZFJS1YDcMx3OWd2bC5VGUUqLnIjKQ5uKjJTc8hMK6LkiZk1TH+Qkn3TGIi+VT4CVgHMjJScnz8agIA+vQ0sjUhVYK6HE6OdrPkiMIyziTrXPEEQsJlQH5mVMfEbb0KqhsmTJ2NpaYmvr6++TJQgk2H79tt4HP4L68mTSNi4iYA2LxO7dCm5xYhVex6calnSb1ojwgIS2LnQn6z08lf0rJycsXN158CShWSkFl0iwc6uF1KpKZFRu8tJuuIxqu4o1EZqVl9bne+c5oH+lpL5xHtr4YRpRiSgJdnAZS2eB1HJExEReaGQmMqRPBloXUKUllZMXaZLtOG3biWrZ75ZrFTTIpWftsNqAXB6R2DRHc0dYOppUDrAz83hguh+WFyG9XyfDV1NEFLSSPF7vjI9IiKCIPBFLWe8lCaMu3yXVI3OXV+ikGIz1ovcrFxi113HSGHE1KlTqVmzZh5FD0CqVGI3bRoe//yN5YgRRM1fwJ2ePUncVbYKjaOHmkHvNyU+PJVdP/mTaQBFr+NYXSmkE5vWFtlPKjXGzrY74WGb0RZRtqC8MZYZM8JzBFsCthCdFp3nnJNalxwuKf2JTTtzR6SadJSkV+qC6KKSVwHQikF5IiLlhiAICJLn/86ZKM2Z/Nsa1PaORAcHsXj8UBIiRPeyqo5dDV266stHQ4vR2RNePwJKe9jxBtw+XLbCVRFkEhlOYyeQI4Hgd96u1DExIhUDI4mEX7xqkKLRMPnqPX27zNoEqyG1yQpKInF/EHK5nBEjRuDg4MD69euJiIjIM4/cwQGH2Z/itncvUqU5YTNnct2zbpm6Fju4qej+ujcRgUns/PECsWHlW3S8Wt36vNRvMBcO7Cb2fkiRfR0dB5GZFUlc/Ilykq54+NT1QSFR5Mu0qZDq1KB8ljxTawDshASSREueiIiIyIuHmdqSCYv+0NcRWvbOayTHxRhYKpGyxr2JHQCRQUlP72zhCG/7Q8224DsQwi+WrXBVhImNJ/N3Z2uEtHTi1683tDgiVQAPU2O+rFWNQ7FJbIp4lDzJuLYlytZOpBy7T/LREBQKBaNGjcLMzIyVK1cSHR2dby4jN1dct21F7uwMwO1OnYn44ks0CQllInt1LyuGzmpOTnYuf351lgsHgwsu51JGtBoyEqWVNSe3FP1dVKtbYGrqQUjI8nKSrHhYKCzwtPJk6eWlaHIfJV6zV+kseYlPWvIUZgCYkkGKqOSJVCbq1avHyZOFpAF/jMmTJ/Pdd9+VuTyhoaE0atSI3NyKY94va+Lj4/Hy8iKjjH36RcqH1kNG4tWuEwC/TxnHpcMHDCyRSFnStEcNAI6uu1m8AQpTGPSgpMJv7eD4j2UjWBVCKpHi9s773HKCyM/nkRMfb2iRRKoAIxyt6GWr4pOA+9xNy9S3q/u6o3zZmcQDQWSFJGNsbMzEiRMxNTVl+fLlJCYm5ptLkErxOPwXtfyOoerbh/j167nV5mUi//c/NCkFpOV/TmxdzBn0flPqt3fmxLbbHFp+tdwUPZlcTssBQ7l18jhht24U2k8QBFyqjyc21o/09GJ4O5Qjo7x02VKPhBzRt6lMdKEb+eLuzGwAsBDSSBLdNUXKgzp16tCkSZMSjZk7dy4TJ07M03b16lVatWr11LFLlizh/fffL9F6z8I333zDlClTkEjyfhwLu96aNWtiamqKUqnE0dGRd955h5ycku20/PfffzRo0ABTU1Pat2/PvXv3Cu17+PBhGjVqhLm5OV5eXuzcuTNfn6CgIExMTPK917du3aJr164olUrs7e1ZvHgxAJaWlnTt2pU//vijRHKLVFx6vPEePd+aAcCh33/i1NaNBpZIpKywrW5O9bqWRAcnFz8ZgrkDvH1B9/qvOXB2RdkJWEXo5d6bpf3NyJJB8NSphhZHpAogCAL/q1MdlUzGtBt5sy2qutVE7qgkZtVVNClZmJqaMmbMGGQyGStXriQzM7PAOWW2tjh9+y3uB/aj7NCBuOUruNOtG1ELF5Z6chaFsYyXh9Si64R63DkXxT+rr6PRlM8GuXenblhXq86h339CW8SmvL19HyCXq9emlYtcxeWVGq/QwLYBvtcfxUebKqQARCU/8f9kYgmAlZBKXGrJE7RVFEQlr5Jw5swZwsLCuHLlCtevXze0OCVWqgojMzOTDRs2MGTIkDztT7vegwcPkpKSwrFjx9i0aVOJlKXMzEwGDhzI22+/TVxcHC+//DKjHtTDeRKNRsPgwYN59913SUpK4vvvv8fHx4f4J3aV33333XwKaUZGBj169GDs2LHExcUREBBAly5d9Od9fHxYulQsmFyVqPtyB8Z9/ysA/25cw9qP3zOwRCJlRauBHgAsm+FX/EFWbjArDLyHwu5psOU1eIE8GEqKRJAwvscsjtUXyLzgT8ySJYYWSaQKYCWX8YGrA6cTU1l2/5ErpiCXYDWkNlqNlqhfLpKbpUGtVjNo0CCSk5PZuHEjGk3hNVYV1apR/efFeBz+C/NOnYj9dQk3GzUm+fDhUo8rrdXMng6jPLl5OoL9v10pl1p6EqmULhPfICbkXpHeKjKZGUZGDiQmnq9QCVgABtUaxNnIswQlBgFgItcpeRlPvn9GKgDqGUWKSp5I2ePr60u/fv145ZVXWLNmTZ5zgiDw66+/4urqio2NDV9//TUAR44c4auvvmLVqlUolUp69OgB6Cxhx48fJyQkBHNzc9Ieywq4atUqvSIybtw4vvjiCwBWrlxJx44dmTRpEiqVihUrVuQ5/7DPw7HR0dH06NEDtVqNjY0NPj4+BV7X6dOncXJywsrKqtjX+zi1atWibdu2XL16tVjv48P3xcjIiIkTJ2JsbMzHH3/MuXPnuHv3br6+CQkJJCQk4OPjgyAIdO/eHTMzszxZtw4cOIBWq+WVV17JM3bFihW0bt2akSNHolAosLCwwNPTU3++WbNm3L59m3CxFpTBiFhwrtTntHaujs+8+br5b9/il4kjxMQRVRDb6uYA5Gq0JESVILOqwgz6LIRqzeHyJljYQFT0imBgrYFEvjkQgOgfFxZpQRARKS6D7C0ZbG/JnNuhnE985FopdzDDZlw9NHEZxG28iVaTS82aNfHx8eHevXv8+eefT72fy52ccJz3OdV/W4K8hgv333iTwD59SDp4sFSvwauNE73eaMj9G3HsWHiB7KzCFdDSwtnTC5f6DTm+fhU52YW7MXrX/wmA+PinhwaVJ73ceiERJPzi/wuge362MJaRkf3EeyeRgCBFKlNwMzLZAJKWDqKSVwnIyclh48aNDBs2jOHDh7Nu3bp8N5m///6by5cvc+TIET777DPu3LlDhw4dmDVrFmPHjiUlJYV9+/blGVO9enUaNGjAnj179G0P1ykIPz8/WrVqRXx8fKGWr4csWLAAV1dXYmJiCA0N5a233iqw3+XLl6lVq1aJr/chN2/exM/Pj0aNGgHQu3dv1Gp1gcc333wDwLVr12jQoIF+DlNTU9zd3QtUFK2trfHx8WHNmjVoNBp2796NiYkJdevWBSArK4uZM2eyYMGCfGPPnDmDlZUVrVq1ws7Ojv79+xMa+shHXSqV4uHhwaVLl4p4J0XKhIdF0bM0xG8NIP1KDNonb/LPgVNtT95eswWA9OQkfvDpJyp6VZDRX+rc3tfOPlWygQpTmPgXtH4LEkNg02gQPx+FMq/NPC73qgPAtfEjDCyNSFXgoduml9KEMZfvEp31SGExqmGB1UhPMq7HkbBbVyrF3d2dLl26cOPGDfz8ime9V7Zvj/v+/VT79Rc00TGEvv0O98aPJ+NG4TFtJaVGfWt6vdGQ6HvJ7P7pIjnloOh1HPsaGakpnN62qdA+FhaNMTGpSWhYxQpbMJIakavNZV/QPv1vstpUwf34AjbqVM5YCOnlLGHpIip5RaDRpJOUfKVMD43m6R+ggwcPkpWVRbdu3ejfvz+RkZH5bjIffvghSqWS+vXr06BBAy5fvlysaxw2bBibNum+qPHx8Rw9epSBAwcW2Nfd3Z1x48YhkUgwMTEpcl65XE54eDghISEYGRnRunXrAvslJCSgVCpLfL0PrYQ9evRg3LhxvPrqqwDs3r1bb3178vjwww8BSElJwcLCIs98FhYWpKQUnJZ46NChfPDBBxgZGTF06FCWLl2KsbEuI9P3339Pz549cXd3zzcuNDSUVatWsWjRIoKDg3FxcWHMmDF5+pibmxcY0C1StgiCgNVonaKeeiaCWN/rhH56gtxSzKIlVxjx3oZdyIyM0Gpz+WnskKcPEqlUWFibYGqhAODc/qCST9D1C3jlc7ixG1b2hsCjpStgFUEQBPp9t5EtrQUkpy8S9vHH4qaJyHNjIpWwytsVQYBe5wJIynmkIJl626LqUZPUk+GkXdK5dLZq1Yp27drx999/c7CYVjlBEDDv2JFap05iP2sWmbcCuNt/AOGffkrWYx5Bz0O1Opb0eacRUUFJ7PvtCpqcsrV227jUpEnPfvy3409S4uMK7CMIAs5Ow4iOPkR2djGyEJcjCzsuBOB81HkABAHCEgqInVSY42ahxe9WNPdiSz+RTnkgM7QAFZnUtDv891+/Ml2jefMdgHORfXx9fenfvz8KhQKFQkHPnj3x9fWlXbt2+j729vb616ampoUqLE8yZMgQPv74Y1JTU9m6dSvt2rXD2tq6wL7VqlUr1pwAM2fO5NNPP6V9+/aYmpoyc+ZMJkyYkK+fSqXKJ2txrnffvn28/PLLxZbncZRKJUlJeW86SUlJ+ZRNgOvXrzN69Gj27t1LmzZtOHbsGEOHDuXCBV0CheXLl3P+/PkC1zExMWHAgAE0b94cgDlz5mBra0t6erpeSU5OTkalUj3TdYg8Hwo7M+zebETWvSQSdul2a2NWXsVucsNSW0MQBN5ZvYUFw3qTnZlBZOBt7N08Sm1+EcMz7ps2rPjgOKe2B+LWyBZLB7OSTdDmHbB0hYOfwOq+0OxV6P1D2QhbiTGSGtFqziL+nfY2bbZsxbiuF1ajRhpaLJFKjqORAt8GbvQ7H8DgC7c50Kw2gqDz9FC+7ExWaApx628gVRth5GJBx44dOXbsGCdOnMDZ2Zl69eoVax1BELAaMxr1kMHEb9xI1DffkvDnZpQdOmA96XVMGzd+rutw8lDT840G7Ftyme3fX6D3Ww0xMim7R/wWA4Zyfu8Ozu/dQbuR4wvsY+/Ql9t3viU6+gBOThVnk7NdNd2z5JGQIzS1b0p1S1NkBdXONVLSUJ6ATYYRB69G8lo7t/IVtBQQlbwiMDN1f6CEle0aSVmFZ19KSUlhx44dSKVSvbtlamoqcrmcn376CSMjoyLnf3izKgxHR0eaNWvGrl272LRpU6GxcwXNZWZmRnr6I0tkZGSk/rWFhQULFy5k4cKFnDp1ik6dOtGxY0fc3PJ+Sby9vfMkTXne6+3Ro0ehrhSzZs1i1qxZeHl58csvv+jb09PTuXPnToE36ytXrlC/fn3atm0LQIcOHXBxceHMmTMIgkBISAgeHh562XNzcwkKCuKvv/6ifv36eeLtBEHI8x5qNBru3LmDt7d3kdckUnYoqpmjqGaOaXMHwmafICsoibAvT2E92gsjF4unT1BMJv+2hiWTRuP70TT6v/8p7k1blNrcIoZFkAgM+/glVn74LxvmnWHKzx1LPolXX3BtC8t7wNnlcHUbvHtN59YpoqdzjS7MmNYTo//tpdkXX6Ds0B5FCTYfRUQKoqG5Kb961WD8lSC+DAznE3cn4IFiNrg24YGJRP9yEYeZzZBZm/DJJ5+wc+dO/vzzT6RSaZ5Y+6chMTHBetw41AMGEL9+PdE/LiTlyBGUnTphN2M6Rm7PrkhU97SixyTvB4reeXq/2RAzVdHPTM+KqYWKl/oN5szOLTTp0RelVX7jgLGRAwDXb3xYoZQ8mUTGoFqDOHTvEO81fQ+FTMKtqALi7gQJRlIJO998GaVR5VSXRHfNIpBKTbAwr1+mh1RatNvj1q1bsbS05ObNm/j7++Pv78+NGzeQyWR5YukKw87Ojnv37hXp2jJ8+HB++eUXjh8/Tv/+/Yv9/jRs2JA9e/aQlJREYGAgy5Yt05/bs2cPgYGBaLVaVCoVgiAglUrzzdGyZUvCwsL02Sqf93r37dtHSkpKgcesWbMAnaKWnp7O8uXLyczM5Msvv6Rp06a4urrmm69Ro0ZcvXpVX1fw+PHj3LhxAy8vL3r06MHdu3f1ck6ePJkBAwawcaPOB33UqFHs3LkTf39/srOzmTdvHh07dtRb8c6dO4erqytOTk7Ffs9FygaJQorD+zqLa25yNtG/XERbii4vZmpLOoyZiKlKzYEli0hNEGt+VSXM1EZ0GuNJrkbLsfXFrJ33JCaWMPUkNBwBWamwshckR5SuoFWAd5q8g29XXW2rjKvXDCyNSFWhh62aAXZqFgdHcTrhkXeRIJNgNbg2ALHrb6DN1SKTyejfvz916tRhy5YthISElHg9qUqFzeTJeF66iMPcOaSdPk1g7z6EznyfnAKKrxeX6nWt6DnFm5iQFP78+ixJsWUXU9a09wAUxiYc/G1RoX2cHIcCoNFUrJrAXWt0JTQllIvRFzGRS1GbKPJ3snaHtLhKq+CBqORVCIqKLPD19WXixIk4Ojri4OCAg4MDzs7OvPrqq/j6+hYxUsfgwYNJSUnB0tKS3r17F9hn0KBBnDx5kk6dOqFWq4st9+jRo3F3d6datWr4+PjksQLeunWLjh07Ym5uTq9evfjxxx+pUaNGvjmMjIwYNmwYf/75Z6lcb3EwMjJi27Zt/Pjjj6jVao4dO5Zn7smTJzN58mRAl73zl19+Ydy4cZibmzN+/HgWL15MnTp1MDIy0svo4OCAUqnExMRE7+5at25dfv75Z/r374+trS0BAQGsWrVKv8769et57bXXSuWaRJ4fmZUxjp+2xLiuLtNrbnHrnxWTpr36M+a7n5BIpexe+C2anMpbYFUkP7VbOGCqUnD5aCj3bz6jEi8IMOBX6LUAIq/Agjrglz+p04tMdfPqtGncnww5hL7zjqHFEalCLKzrgpVcyujLgXkSsRjXtsR6VF2yQ1NIPnYfAIlEwsCBA7G3t2fNmjWEhYU905qCQoHl8OHUOvEvVmPHkvL339zu2o2YJUvIzXq21P3VPK0Y/WUrJBKBLd+dI/ha7DPN8zRMLVS0H/0qd/3PEXn3ToF9qlcfB0Bc3PEykeFZae6g29QdvW809hbGBWfQNFZDZsWKJywpgvYFi15OSkpCpVKRmJiYJ/lGRkYGd+/exdXVVZ9Uo7wIiY2nemaQ7g+n5/PLrozcv3+fPn36cO7cuXwF0asqCQkJtGnThnPnzpX75+1F52nf9fQbccSuvIrjxy2Qmhewu/ec3L9xlc3zPsaqmgsj5s1Hpij9NUQMQ1pSFiveP47KzoRRn7d6vslSouCnpo8eMt6/C6ZWRY95QdBqtfw4+SW6H03B5LMPqTlsrKFFEqkihGdm0fjENVqpzdjSyAPJYyEWCbvukHIiDJtX62NcS1csOzU1lZ9//hlBEJgwYUK+clAlRZOQQMyvvxK3xhe5kxPmr7yC3fsznxp6UxDJcRls+e4cWRk59JjsTXXP0r9/aHJyWPr2RGxdajLww7n5zmu1Ws781xsjI0caNaxYdYG9V+lCZbqarMEvIIYzH3fJ2+HIt3B2Gcy4ZQDpiqYwXeZJXownapEKTbVq1bhw4cILo+ABqNVqrl69Kip4LyDVPOvR6+33iQ25x19LfxazBFYhTC0UNOhYjcSodGJDi5f8qlCUdvBhsM59E2B5N0h5djeuqoQgCHSd/TvZUkid+w05sWVjqRB58XA0UvBd7WqcTEjlf3fzukurerpi5Koibv0NNMk6K5uZmRmTJk1CoVCwdOlSoqKinmt9qVqN/Ucf4bptKwgCcStWENCyFekXL5Z4LnMrY3zmtEBla8LuxRcJuVZwJsznklcmo0Hnbty9cJa7/vnrzgqCgLPzSGJjj5KWlr8WsSHp7abzbssQQilQhzZWQUbltuS9OE/VlQDxUU9E5MWgVovWdJ8yjatHD3Nm+9OL64pUHrw76hKB7F5c8oeyfDx033zjP8hIhJU9dfF6ItRzbsy5ReNJMoFzU0eL3yGRUmOMsw29bFX8eC+Sm6mPYskEqQSrEZ4glRCz8ipaje4zp1KpmDhxImlpaaxevZr79+8/twzGdergfvAA9p98gtTSkqBhwwl9bzrZJXQLNTKRMWhmUywdzNjzyyXCAhKeW7YnaTlwOE616+K3flWB30NHhwHI5Wru3fu91Nd+Hua1mQfA7YRbaHILuH8YW0BOOuRklrNkpYeo5ImIiIgYgLptO9JiwDCOb1jN98P7cHLLekOLJFIKqO1M8XrZiZT4TI5vCiidSW1rw+htkBQGS9rq/hVhVId38e1lisXFuwR+NNPQ4ohUIb6rXR0HIzmvXQkiM/dREi6pUoG1jyfZEakk7gnUt5uZmfHOO++QlZXFmjVr8mTWflYEQcBq1Ejcdu/Cdto0Uo4e5fYrXYn68Udy04ufUEWmkDLo/aYIEti1+CIRgaVbm1cQBF4ePprooEB2ff91vvNSqQnOTsMIj9iKRlNxFCaZRJdQ5W7ybbI1BSl5D8pbpSeUn1CljKjkVSDEfUgREcPz0G0j7fzzud0Uh5eHj2bgR58BcGLTWvb+NL/M1xQpe9oM1pVVufh3CDnZmqf0Lib29WDsToi7A9/Xhe1TQVO6yYEqG3KpnJFTfsLPSyBr+x6Sz501tEgiVQRrhYzV3q4Epmcw6MJtNI9ZqIzcVJi3r0bKiTASD93Tt1taWvLOO++g1Wrx9fUltpTciAWZDJvJk/A4egRV/37E/vY7d3r0JGHLFrS5xcsCLVdIGf/dy1g5mLJrkT+ht0o3w3P1eg0ACDhzglxN/nuevX0ftNocomOKV0S+vOhWsxsCuaRlFZAITfag/ERa5XUHF5W8CkXJA2tFRERKFyN3NUCpllAoCtdGTZm+cTcA148f4dJf+8tlXZGyQ2Eso/vr9QEIulSKDwjOTWHcg1Iy/mthnjWklX6cTWWitVNrvP/3C4EOEDTpNTL/z95ZhkdxdQH4nZW4bFwhCSQQJCEEK+7uGlwKFJdCDehXoC0UWkopFHcIboViBYp7kWDBIYQocffs92PL0iWCNMkmYd7nmYfs3Dv3nll2d+65xx490rZIIqUED2MD5lQow5X4ZBY9C9doM23ljFE9exL+CiT5VqT6/EuLnlQqZc2aNQWm6AFIjYywnzWL8kePoFepEqHTvuZR8xbE/3nkrdyVdfRktB9TDalcwr4Ffjy8Ev7Ga96FlxuW/qeP52gzMqqIsXFVQoK3Fuic/5Vv6n6DUikj1704YzvVv4klt5SNqOSJiIiI/AtBpvpZjD/6DGVufvqFRP8fFgBwdOVvxEcWvhVRpHApV90KI3Nd/lx1m4z0ArLmATg3gOmxUKmT6vWiGhDiV3Djl0Dqlm/C3vHehOin8fST4WRGf9iKr0jB0d/egjqmhsx5GsaG4EiNNtMO5dD3tCR6813SQ1/FyhoaGtK/f38yMjJYtGhRgbhu/hsdR0fKLF2C47KlZIaGEjxhAgE+vUk8deqN1xqY6DBwdj0c3M04suoOxzfeLTC5XLxqUKFuQ/5c9ivxETmfYXZ2PYiJvURSUu7lFrSBiY4JbhYqZS4j67WN3ZfumgHFq/zDuyAqecUI0V1TRKR4Eb3lXpHNZVPOlQFzVUVlz2xe/4beIsUdQRBoNrASKGHvL9cLenDw2QijL4JECisaw/nfCnaOEsbcdr8xp6eEmNgwno8aTXZa8Yn9ESnZ7PJypa7CkC8eBHEn8VUsnCARMOvuhtREh+hNd8mKf1XXztraWl1vd8WKFYSHF6zVDMC4SRPc7/rjuPg3MoKDeT5iJHfdK5H+huLsMrmUjmOrYWSuy91zofyx6EaBbWg2HzICgP0Lf8zRZm/XE7ncjKDgTQUyV0FRwaIMAFFJr2XSNHUEt9ZwbiFcXVf0ghUAopInIiIi8hoOs+oDFKklD8DauRwfdfPh3rlTXN67s0jnFil4yribY6jQJfxp/PsXSM8P60ow7C/V30emweGp8JYxOqUNMz0zRrT6mrk9pSTdvknQqFEoMz/smEWRgkEmEdjgUQ6AL+4/13CNlOjKsBzmQWZkCi9+u05m5Csl0NzcnIkTJ2JiYsK6deuIjIzMMfZ/RRAEjJs3x+3sGRQ+PgA86dCRyKVL8y2mLkgEBs2uT812zgTeiWLP/GtkvW7Jeg8MTBXU6NCV0Af3iArSVDalUj0UipoEBW1AqSxA74b/iKeVFwBHnp7J2dhtBdQdA+bli1aoAkJU8ooVbx+TFxgYiEKhUL9u0qQJvr6+BSbJ4MGD+f777wtkrDNnzlCtWrUCGet1goOD8fLyIvsDW9gMGDCA/fv3a1uMUosglSB3MCL1ThQZkW+fxawgqN6mIzIdXc5sXsff+3YV6dwiBU+f6XUwMtNl7y/XC9Zt8yVmTjAlGOyrw8XF8K0ZRBUfd6iipLd7b1w+asmP3QSSzl8gdPp0bYskUkowlkmZ6WrP1fhkvnscqqHoya0MsJlcg6z4dCLX3yE7+VUSD4VCwdChQzEwMGDt2rUEBAQUinyCIGA3cwYVrlzBrHdvIpYs5WmXriSdP5/vdXU6laNSPTtCH8WxbMxJsjL++1qqvk9/dA0NOb8jp8XO2WkUoCQqOheFSktUsrYH4GLItZyN+gpoORNcGhatUAWEqOQVA95kK3B2dsbAwAAjIyOMjIywtbWlbNmyxMbGFoV4/5mGDRty4z0Keb4Nc+bMYdSoUTkKqVesWBFvb+8c/f/9XtrZ2TFhwgQy33G39++//8bT0xMDAwMaN27Ms2fP8uybmZnJ559/jo2NDaampjRt2lTdFhMTQ79+/bC0tMTe3p6FCxdqXLtnzx4qVaqEkZERLVq04Pm/XDAmT57MdHEBU6go/1mQh8+7QurDQrDC5IGBqYJhi1Yhlck4vWkt4U/ERBIlGV19GY37VARgzeQzZBeGdVjXCIafgKo9VK8XecPOj+EDrB33fYPveVLFjNvOEuJ27SZ2125tiyRSShhRxpoZ5e1Z8vwFPwdoul/KrQyw+dSb7JRMwn65RlbSK0XPxMSEwYMHY2xszLp167h7t+Di4F5HamSIzZSvcNm5E2VaGoEfD+WueyXSnuZdiLzZwErU7aayVO2Zf+0/ZwSW6+jSsM8gHlw8y4uAJxptxsYe6Os7Ex72x3+aoyAx0lWVUjj57KKWJSl4RCWvGJHf4/jIkSMkJiaSmJhIWFjJyfTzrgrUu5CWlsbWrVvp2bOnxvnLly8TEhLC7du3c/0xfflenj59mu3bt7Ny5cp3mrNbt26MHz+e6OhoGjRoQP/+/fPsP2XKFIKCgrhz5w7R0dHMm/cqRf7EiRPJzs7m+fPnnD17lgULFnDs2DEAHjx4wODBg1m9ejWxsbE0adKEPn36qK/18vIiOTmZ69cLONZHRI31GC/0qlgAELn6NmnP4t9wRcFhqDBjzJqtWDiWZefsb3I8KEVKFs6elni1LEtmRjaHlt0qnEkEAXqshrFXVa9v74KZig8u+6ah3JANbTfwbW+BMDdzwmbOJNXfX9tiiZQSRpa1ZoKTDfMCwjgaqVlvTm5jiNXIamQnpBO55raGtc/Y2JiPP/4YgG3bthWK6+a/0atYgfJHj2A+aBAAT9q2I/zHn8hOSsq1v3crJ1oNq0Lk80T+XHnnP7tuVm3aEoDTm9ZqnBcEAVvbLkREHiErK/k/zVFQmOrLAVBm6/EktnQ9a0Ulr4QSEBCATCbLs33x4sW4ublhaWnJoEGDSMrji71//34qVqyIsbExzs7ObN36Kr3tixcvaN68OcbGxrRq1Yrof2Us69atG9bW1pibm9OzZ09120u5li1bhoODA4MHD+bkyZO4urqqrxUEgaVLl+Li4oKlpSU//PCqeGZiYiK9e/dGoVDg7e3N119/TYsWLXKV/dKlS9jb22Nubq5x3tfXl86dO9OyZUs2btyY53vk5uZGw4YNuXPnTp59XufkyZPo6uoybNgw9PT0mDZtGlevXuVpLrtk0dHRrFu3juXLl2NpaYlUKqVGjRrq9gMHDjBlyhT09fUpV64cQ4cOZd26dYBKEW3evDn16tVDJpMxZcoUrl69yqN/pQdv1KgRhw+L6fYLC4meDMsBlZFZ6wMQsfQGmXFFl8xBrquHz8y5GFtYsvHL8dw9c6LI5hYpeOp3d8XEUo+Am5EkxRbi58jSFWbEqRIGAPxYDuKCCm++Ykg503L0rNiLyV3iwNKc8Nk/oMyldpeIyPvwpYstdRWGfHb/OTEZmhvZckt9zHq4kRGcSPj8qxptOjo6TJ48GXNzczZs2EBEREShyilIJNhM+YoKf1/GauIEotes4VGz5sRs255ryQW3mjY0G+ROwM1IDiy++Z/cy6UyOe0nfMGzm9cJvqe5yWJn24WsrGTCww+89/gFiYmeSsnLTjdn5a233/QvCYhKXilkx44dLFu2jGPHjvH8+XMyMjLydO0bNmwYa9asISEhgYsXL+Lp6alu2759O7/88gsRERFkZWXx66+/qtu6devG06dPefr0KQkJCXz77bfqtqysLPz8/Hj8+HGeVrLjx49z69YtTp48ycyZM3n8WBVDMn36dGJjY3n+/Dlbt25lw4YNed7nrVu3cHNz0ziXmZnJtm3b8PHxoXfv3mzevDnP+jH379/nzJkzeHl5AdChQwcUCkWux5w5cwDw9/fXeI8MDAwoX758rorirVu3sLW1Zfr06VhaWuLp6cm+ffs0+vxbNqVSqTHO63K/3u7u7s7NmzfzfH9ECgbrkdUwbqLKvkUBxCu8C/pGxrQZNRGAg7/9zNUDvxfp/CIFS6cJXgAcXnG78Cfrtx18NgFK+KVKiU4D/j5M8J5Ahkzg5+ZJJF+7xosfc2b7ExF5HySCwAL3siRkZTPa/5lGoXQAw5q2yO0MyYxIIfFCiEabsbExQ4YMQU9Pjw0bNhRJ2I3U2BjLkSMp98c+ZDY2hE2fztOu3Ui+ejVH3wq1bGkxpDLP/aPZNffKf9qQqvBRfaydy3Num+Zmu75+GSwsmvD4yby3qu9X2BjrqQwmFnrWpGWVrqy8opKXD8lZ2dxMSC7UIzkrm1cJV/JOvNK2bVu1wjFp0qR85V69ejVTpkzByckJfX19pk6dys6duWfqk8vl3L17l8TERGxtbalcubK6rWfPnnh6eqKnp0f37t014ur69++PoaEhpqamfPrpp5w9q7mAmD59Onp6eujr6+c671dffYWRkRFVq1bF09OTW7dULky7du1i6tSpGBsbU6FCBQb942qQG7GxsRgZGWmcO3LkCOnp6bRu3ZouXboQHh7OmTOaAb4v38u2bdsyePBgtQvF/v37iY2NzfX46quvAJWl0cTERGM8ExMTEhMTc8gXHBzM7du3MTU1JSQkhEWLFtG/f3+1QtumTRtmzZpFYmIiDx8+ZPXq1WqLa4sWLTh27BinT58mPT2d7777jvT0dA2LrLGxMXFxcTnmFSlYJAZy9CootDa/tXM5Bv2kSo9/csMqdnw3jbTk3C3zIsUbUysDnKpaEPYkjmt/5h3LW2BU6vCqePq69nBlbf79SxGmuqY4GDlw0TGFhwMbEL1+A8mie7tIAeGkr8tC97Kci0nk28chOdqtx1fHqJ49sXsfk3AmWKPN2NiYvn37IpFIWL16dZE9x3Xd3Ci3by/2c+eQERLCs379CRz+Ccl//63Rr2IdW3pNq0Vacia7frxKfNT7JR+TSKR4tmjDc/9bPLysmQDG1qYT6emRhIXvfe/7KSgkEtXaWx8Hjj47qmVpChZRycuHR8mptLryoFCPR8mpbyXLoUOH1ArH/Pnz8+0bGBjIiBEj1EphgwYN8nQL2LlzJ3v27MHR0ZE2bdpoxLDZ2Nio/zYwMFArMpmZmUycOBEnJydMTEzo0aMHUVFR6r4SiQQ7O7t8Zcxr7LCwMBwdHdVt//77dUxNTXMoV76+vnTp0gUdHR2MjY1p165djqyjL9/LJ0+e8MMPP+RI2pIfRkZGxMdrxmbFx8fnUDYB9PX1kcvlfP311+jo6NC4cWMaN26sjrtbuHAhcrkcV1dXunTpQr9+/dT36+7uztq1axk9ejT29vbExMRQuXJljfcjISEBU1PTt5ZdpORiWdaZoQtXYWhmTuDtG/w2xIeYsJwLC5HiT5sRVQG4sOcxqf9KzlBoODeAzx6qsm/unwjnFxX+nMWEQ90O4W3tzde255C7ufJs4CDSAwO1LZZIKaGDtYIxZa1Z/jyC7WGasa+CIGDaoRxG9e2JO/CEpKuaiVoUCgWDBw8mMTGRVatWFWkiPdPOnalw/hwWI0aQdOYMzwYM5Pmo0aQ+eKDuY1XGmK6TvVEqlfyx8Abx75llukrj5oCq9uu/rXY2Np2Qy80IDdnx326mgHBQ6CPPVsXghySWnmerqOTlg6uBHkdqVijUw9VA79WEb19BIV8cHBxYv369hiUqr5i8OnXqcODAAcLDw6lWrRqjRo164/ibNm3i5MmTnD9/nvj4eHbu3Knx5RWE978RW1tbgoNf7XoFBeUdS+Lh4cHDhw/VrxMTE9m7dy+7du3C1tYWW1tbjhw5ws6dO0l7i8K4bdu2VWcwff2YPXs2AJUrV1ZbHQFSUlJ4/PgxVapUyTFe1apVc5z793tjbm7Opk2bCAsL486dO2RnZ1O7dm11e48ePbh9+zaRkZHMnDmT8PBwjTHv37+Ph4fHG+9LpHSgsLFl5LINtJ/wBQBrJnxCRtrbbRKJFB9kcin9Zn6EVCZhxw9/F0jK8jdiZA1Dj4FTfTjyNfj2+CAybwqCwIhqI1AKAnuGVkSQyXjWfwCphZjdUOTD4nMXWxoojJjxKJjgVM26dIJEpejpe1kRs+sBqY9jNdrNzMyYMGECUqmUdevWFamiJ8hkWH86kQpX/sasb1+SL13iaafORCxcSHaq6rliYqlP54nVAdg59wpRITk9lt6ETEeHjpOmEBMazP0Lr7yqBEHAzXUKMbEXSUrSfrITXZkENzNVhtHrL0qPxV9U8vLBQCrB09igUA8D6av/goJ65H788cfMnj1b7RYYGhqaa4KO9PR0Nm/eTHx8PHK5HCMjI6RS6RvHT0hIQE9PDzMzMyIjIzUyRv5XunXrxg8//EBCQgIPHz7MN3HKRx99REhICDExqvT2u3fvxszMjPv37+Pn54efnx/37t1DJpNx4MCbA3wPHTqkzmD6+jF16lRAVY8wJSWFNWvWkJaWxqxZs6hRowYuLi45xnNzc6NWrVr88MMPZGZmcu7cOU6dOkXz5qqdrUePHhEdHU1mZiYHDx5kw4YNfPrpp+rrr169SnZ2NhEREXzyySd8/PHHGklmTp8+TevWrd/ujRUpNbjXa0SHiSr34YUDexATGvyGK0SKGwobA5oPrkR8ZCpXi8JtE0Aqg4H7QKYPj47C9oGQVfqLhdezr0fHch3ZEPcnobNHkPniBU+7duP5yDdvaIqIvAmJIDC3oiPxmVkMufWU9Ndq9gqCgHmPCug4mRC1wZ+0QE1PoJcWPYD169cXeQiG1MgI22/+h9v5c5gPGkjkkqU8atGSxDOqEByFjQFdJlXHUKHL7p+uEfIe5YTcatfDxasGB379kcx/FWi3smqDXG5G4PPVBXY/70s5K0MSUsHJxImbEaUn14Go5JVC+vTpw9ChQ2nfvj0mJiY0btwY/zxSSK9fvx4nJyfMzMw4evQov/322xvHHzhwIGZmZtjY2NCwYUPatGlTYLLPnDkTY2NjHB0d8fHxwcfHB11d3Vz76urq4uPjw44dKnO/r68vw4YNw87OTm3Jc3Bw4OOPPy6wQvG6urrs2bOHBQsWoFAoOH36tMbYI0eOZOTIkerXW7Zs4eTJkygUCoYNG8aGDRvUmUYvX75M5cqVMTU15dtvv2XXrl0abqyjR4/GxMSEKlWq4OTkxKxZs9RtN27cQE9PTyNbp0jh83oQvbaoWLcB5g6qZDBrJo7g3vnTWpZI5F1xq2mDroGMv/c/JSUh/c0XFARSGXwdBjUGw919sLj2B2HRm1RTFcc+/sVv6P6lel4knjxJ0uXL2hRLpJRQ3kCPfdXduJuUyqR7z3O0CzIJlgMqI7cxIGq9P5mvxbgpFAoGDRpEdnY2GzZsyBESUhRI9PSwmTIF5x3b0XFy4vnw4QT070/KzZsYmurSeWJ1FDYG7Pn5OnfPh77T2IIgUN9nAAAHf3tlFJDJDLGyakVIyFYyMoquFm1uGOvJSUnPoppVNfwi/LQqS0EiKItDapsiJD4+HlNTU+Li4jQSaKSmpvL06VNcXFzQ09PLZ4SCJzAqlrJpT8kQpMjtPN98wQfElClTiIqKYsWKFbm2BwUF0bFjR65evfpOsXUlnQEDBuDj40OHDh20LUqJ432+61kJ6YTOugSA45yGhSneOxF4+wY7vpsGQOfP/4drzTpalkjkXYgOSWLLt5ewdjKm55RaRTv53jFw3RcsK8Loi1DKfz/DksLo/Htn3M3dWdtyNYEDBpIZHo7Lvr1Ic4mpFhF5V5YFvmDG4xDmVyxDX3uLHO1Ziem8WOQHSiVWI6shM9d8/kRFRbFu3Tr09PQYMmQIBgYGRSS5Jkqlkvg//uDFggVkhoZhMWwYliNHoNTV54TvPe5fCqNORxdqtsvpwZQffyyYy+O/L/DxryswsbQGID7+Jn9f6Yqb29eULTOkMG7nrfhq103uhSXQq9kz5l2Zx8W+F9GR6mhNnjeRly7zOqX7V12kxPH8+XMuX75MdnY2V69eZfXq1XTu3DnP/o6Ojly/fv2DUvAANm7cKCp4RYjUWAfjpmVAWkCBswVE2arVGPLLMgD2/vQdyfFittWShLm9IfZuCl48SyiabJv/pvNiqNYXIu/Djy4QeKlo5y9ibA1t+bzW51x7cY0p56dh/9OPZMXGEvjxUG2LJlJK+KSMFfUVRky6/5w/XsTmaJca6WA13ANkEl4s8SPFP0qj3cLCAh8fHyIiItiwYUOuWbuLAkEQMO3UCdfDh7EcO4aolSt52LQZyadP0XxQJWq2c+bSvqccW+dPVubbxxQ3HTQciVTG8bWvNu1NTDyxtm5HYOAqlErt1bLUkUlITMukmlU1MrIz8I/K3futpPFhrYyLPcVrAakN0tLSGDRoEEZGRnTr1o1PP/2U9u3ba1ssEREEHQlkKUl7Fo8yM7tY1PcBMLd35KPuvQFYOrwfATeuaVkikXeh1bAqmNsbcmHP4/eKd/lPdF0KXZeDMhvWtIJDX0F26S0a3qNCD7q5dePg04N89Wg+NlOnkHrzJhGLF2tbNJFSgEQQWO/hQlNzYybeC+RGQnKOPjJLfayGe6DjaEzURv8cip6joyMjRowgISGBTZs25Zk0rygQdHSwGjMGl7170a/uRdDo0TwfOZLq1XVoOsCd+xfD2P3TVdJS3i6218jMnGZDRvD4ykWeXr+iPu/g0Je0tDBiYrXnPq0rk5CYmkkFswroSnVLTVxesVDyFi9ejLOzM3p6etSpU4fL+fjJr1y5koYNG2JmZoaZmRktWrTIt39JQPnavx8yrq6u3L17l+TkZJ49e8aUKVO0LZKICAD6VS0BiFh6g+CvzxF38KmWJXpF/V798W6nsnjvmv0N1w5qv/aQyNthaKpLz69qomsoY8/P10mOL6L4vJdU6w2T/KFCW7i0FBbVgKTIopWhCPnmo28AOPrsKKltG2DSri1RK1aS+Fo9VRGR98FIJmV1VRfsdeW0v/ogRyIWAJmZHhYDKqPrZkb0lnukByVotNvZ2dGzZ09CQ0NZsWJFniWwigq9ihUos2wZDgsWkHrrNk87dcba/wBdJ3kR+yKF3T9dJTHm7TI9V2nSgrIeXvyxYC4piar7NlPUQUfHmtDQXYV5G/lSxtyAiMQ0pIIMqSBl4928k/6VJLSu5G3bto1JkyYxffp0rl27RrVq1WjdujUvXrzItf/Jkyfp06cPJ06c4MKFC5QpU4ZWrVpppN0XERERKWhkFvpIzfUQdKRIjHXITiyCGmfvQNNBw+nznSqo/cT6lSzo1wVlLgsMkeKHTEdKg55uCAKs/eIs2dlFvOWnawx9t0L31RDzFH4qD+cWQin8/EglUk77qBIVfXXmK+y++w5ldjbBkz8jqwhT2IuUXgykEpZWdiJTCS6nb5KRy/dZkApY9HFH0JMRufYOGeGaFjtnZ2fGjx+PTCZjzZo1PHtWxO7cryEIAiZtWuN67ChGTZsSMf8XUsb1pV0bHTJSs9j141Wigt/sXioIAu3GTkaZlcX57b7/nJNgbdWaiIijZGW9udxVYWBuqENWtpLE9EySM5MJSwrTihwFjdaVvPnz5zN8+HCGDBlC5cqVWbZsGQYGBqxZsybX/ps2bWL06NF4eXnh7u7OqlWryM7O5q+//ipiyUVERD4kBImA3Re1cPi2HjLLok3O9LbYV3DnkyXrsHAsS1ZmJvP7dCIzo3gpoyK54/6RHW0+UdW9XDr6hHaE8OgBYy6DrScc/R98awahN7QjSyFipmfGd/W/42r4VTY9243rsaMAhE6fIW6MiBQIVY0NWF3VmSwlTHuYe71fib4MmwnVQSIQsfIWGS803TvNzc0ZOnQomZmZrF27lrvFoL6jxMAAh5/n4bJrJ1IzM+I/HUrdjKNkZWTx+/zrb6XoGSrM+KhHH/yOHCTyuUp5dXTsT1ZWIsEhmwv7FnJFJlGFS8UkpfNN3W+QCBJSM0t+HVqtKnnp6elcvXqVFi1aqM9JJBJatGjBhQsX3mqM5ORkMjIyNOqH/Zu0tDTi4+M1DhEREZHSirGFJYN/XkKN9ir3zV/7dyVVSwH8Iu9GuepW6BnKAfA/p6VyHVYVYcRpaPsj6ClgRRM483Ops+p1ce1CE8cmLLq+iCgjJXbffkvCn38SNGq0tkUTKSW0t1Iwtqw1G0KiOBKZe1IsqZEONmO9UGYpebHYj7RnmmtUAwMDxo0bB8D27dt58OBBocv9NuhVrozT5k3YTp9O9qmD1Lo8Cz1ZBjvnXOHpzTe7e3u36QhKJad9VQYdQ0NVaalHj+YUqtx5YWuqD0BkYhoVzSqSrczmYcxDrchSkGhVyYuMjCQrK0ujNhiAjY0NYWFvZyr98ssvsbe311AU/80PP/yAqamp+ihTpsx/lltEROTDRpmWRfIN7cZJvIkmA4dTq3MPABYP7V1sEsWI5M/H8xpg4WDIiY33ePC3llyGBAHqjICJt8CjF/z1LaxoBMnR2pGnkPi81uekZqYy5q8xmLRpjfUXX5B46hThc+aSnV7EsZEipZKp5exoam7MKP9nhKTm/pmSmupi90UtlGlZRCy9QdqTWI12ExMTpk2bhpubG5s3b+bSpeKRCVeQSDDz6UX5gwcwNNWh2h8TsVaGcHDJTW6eyN16+RK5nh4tPxnHU7+rBN9XWSjLl5uMUplJWlp4UYivgbmBqlzC8+gUHI0dAbgbrX3L6X9F6+6a/4U5c+awdetW9uzZk2e9qylTphAXF6c+nj/PWahS2yiVL7Nqitk1RURKAsq0LMhWonyH9NHaoFHfwVSsq6rrN793R8IeFY9dYJG8EQSBpv0rAXB0tT9hT7RYFkPPBLoth/oTIewW/FIV7h/SnjwFTFmTsvzY+EcexDzgx79/xHzIYKwmTiB63ToeNWxE3P4D2hZRpIQjEQR+q+SEiUyKz43HJGbmnr1Woi/DdkptJIZyIlbfJuWOZtZNuVxO7969qVOnDocOHeLw4cPFZuNOZmmJy759OHwzjYrHvqdM2FnObHvA1cMB+V5XtUkL5Hr6nN+xCVBl2ZRIdAkJ2V4EUmtia6rSIZ5HJ2OmawbA8cDjRS5HQaNVJc/S0hKpVEp4uKbWHh4ejq2tbb7Xzps3jzlz5nDkyBE8PfMuIK6rq4uJiYnGUVwpzK9r27Zt2bZtGwDr1q3L0/IJkJSUROXKlbVWo0VbDBgwgP3792tbDJESgHHzsqo/islDNj/aT/iCKo2bA7Bp2iTiI3NPaiVSfLBxMWHQD/UA2PXjVTLTtVzWoOVM6LsdMpJgS+9Spei1cW5Dd7fubPTfyMpbK7EcOZJyBw+gX6smIZ9/TszWbdoWUaSEY6EjY7NnOR4lpzH8TgDZeTw3ZKa62H5ZC72K5kRtvkvydc3faolEQtu2bWnbti0XL15kx44dZGa+XfmCwkYQBMx6+1Dh7Gm8XeJwebqfi78/Yc2kEyjzSCQlkUqp06Ungbf8SEmIRy5XYGPdnpDQHWRnF60lXUemUod+PvoAQRCoalEVS33LIpWhMNCqkqejo0ONGjU0kqa8TKJSt27dPK/78ccf+e677zh8+DA1a9YsClG1irOzM4aGhhr1UpKTkzE2NsbZ2fmtxjh06BA+Pj5v1XfZsmV07twZIyMjjfOtWrXCxsYmx49KkyZN0NPTw8jICGtrawYMGPDOsY+PHz+mfv36GBgY4O3tzY0beQf737lzh0aNGmFiYkLlypU5efKkuu3ixYt4enqiUCiwtrZm0KBBGspq+/btsba2xtTUlDp16mjEfk6ePJnp06e/k9wiHybCPw+E4P+d17Ikb0YQBNqM/pQBcxcCsHLMxzz3v6VlqUTehJGZHs0Hqyx6y8ef0rI0QIXW8MVTMHFUKXp/TCgRmxxvw4x6M2jl1IpF1xdxKfQSuuXK4Th/PkaNGhE2YwbPx45FWUwW0yIlk0pG+qyt6sKZmAT+9zDvbPASHSkWfdzRKWNM9M4HJN/IuSlXp04d2rZti7+/Pxs2bCg2ih6orHqOv/xMwy87YpgRTUqyknNfrSI7NfckJm516gPw8LJqLVam7FBSU4MJfL62yGR+Sadq9uq/HY0dCUnSUlx0AaJ1d81JkyaxcuVK1q9fz927dxk1ahRJSUkMGTIEgIEDB2rUSps7dy7/+9//WLNmDc7OzoSFhREWFlbqrU4ODg78/vvv6td79+7Fzs6uUOZavXo1ffr00TgXGhrKiRMnSE9P58iRIzmuWbVqFYmJidy4cQM/Pz9mzZr1TnP26dOHFi1aEB0dzfDhw+natWuuP1wZGRl07tyZHj16EBMTw8KFC+nRowdRUSrXBldXVw4dOkRsbCwBAQFkZ2czc+ZM9fU//vgjISEhxMXFMW3aNDp37qx2efDy8iI5OZnr16+/k+wiHx76lS3Uf7+eEa24Yu1cjqaDhgOwfeYUHlw8q2WJRN6E+0d2VPxI5dWyffbf2nfPMjCHsZfBuSFcXQerW8KTU6WigPqUOqp1xuenPicuLQ5BRwfHZUuxnTmTxOMnCPniSy1LKFLSaWNlytfl7FkdHMnu8Jg8+wlyCVbDPDDwsCR6631S7uWMha1Tp466lt6mTZvIyipe30HjZk0ZtKwzNsbJ3Isw506XfqTcup2jn7m9A+W8a3F57w6ys7IwNnIH4PHjH4taZMqY6yP9J8umraEt/lH+RS5DQaN1Jc/Hx4d58+bxzTff4OXlhZ+fH4cPH1YnYwkMDCQ0NFTdf+nSpaSnp9OjRw/s7OzUx7x587R1C0VCnz592LRpk/q1r68v/fr10+gze/ZsnJycMDExoW7duty8eVPd1qRJE3x9fd84T2BgICEhIXh4eGic37JlC3Xq1KFv3775jmNnZ0fbtm25c+fO294a9+/fx9/fn6lTp6Knp8eoUaPIzs7mTC7Fae/fv09MTAzjx49HKpXSokULqlevzp49ewCVC7CDgwMASqUSiUTC48eP1ddXqVIFmUyGUqlEKpUSERGhYXVs1KgRhw8ffmvZRT5MBJkEq5EqN/EXS/y0K8w74N2uM8MWrQbgj1/mEHyv5D/ESjstBlemckN7IgITOLD4pvYVPR1DGLxfVVMvIQw2dII5ZeHRXyXasmepb8nW9luJSYuh1x+9yMrOUrmg+fTCcuwY4g8eJGTqNDJj8l6ci4i8iRFlrOhla8Zo/2eciU7Is58gk2DWswK6LqZE+d4l+WbORF9VqlShd+/ePHv2jG3btpGah7VMWwhyOQ3HNCJN14zTzmO4238ED+o3ICtB877rdu9DXHgYt0+qSpl4VF0MQExM0SaYcbIwJCtbSVpmFvoyfZIykrT/e/sf0bqSBzB27FiePXtGWloaly5dok6dOuq2kydPsm7dOvXrgIAAlEpljmPGjBlFL3gR0qxZM27dukVERAQRERHcvHkzR1ydu7s7V65cISoqipYtWzJw4MB3nufWrVu4uroiCJpJYHx9ffHx8aF3797s3bs3T8tpcHAwhw4dwsvLC4DRo0ejUChyPUaPVqWq9vf3p0KFCujq6qrH8fDwyFNRfP1Lp1QqNfoGBgaiUCgwMjJi165djB07VqN/hw4d0NPTo0OHDowcORJTU1N1m7u7u4ZyLCKSF3J7lTuzMrV47aC+CVNrG7p88Q0AW6d/wbKR7/47IVK0NO3nTplKZjy7HcXmGcUjsx4ePVTZN7utgvRE8O0Gvt1Vil8JpYplFZa3WE5IUgjzrrzaOLYaPRq72bOJP3CAR02aknrvnhalFCnJCILAvIplaKAwYtDtp9xJTMm7r1SC5TAP9CqaEb35HvF/BeboU758eXx8fAgKCuLXX38lMvLN5QuKEhtnE7p9XgOAB/UmkBEdy4NatYk//Kd6LWfrWoGK9RpxZssGEqOjsLJqhaFhBZ4XscumnlwKwIt4VRkFgOjUkp1RuFgoecWVlPQsbgfHFeqR8q+A+vz2C6RSKT169GDbtm1s27aN7t27I5VKNfp069YNKysr5HI5U6dO5ebNm+/sxhobG5sjFu/u3bvcuHGDHj160KBBA8zNzdm9e7dGnxEjRqBQKKhbty716tVj6tSpACxZsoTY2NhcjyVLlgCQmJiYIyGOiYlJrrJXrFgRhULB/PnzycjI4PDhw5w6dUojXrFs2bLExsYSHh7OlClTKFu2rMYY+/fvJyEhgV27dlGvXj2NNmNjY+LitJjNTqTEINGRouhUHmQl72e0fI3a+Myci5mdPUkx0YQ/eaRtkUTeQKcJ1REkArHhyZzwLSZKhiCAZ0/4JgY6LoTHf8HPFeHo9BJr1avnUI82zm3wvevL9xe/V59XdOuKy+97UKalEfzpJNGiJ/Le6EgkrPFwwVlPhy7XHnIzIW+Xf0EiYNGvEkb17Ik/+ozYg09zbHRXrFiRTz75hLS0NH777TeCgvIvX1DU2JU3paGPG1FKSx4NWYl+vQYET5xI6FdfkZWoWrs1/3gkyqwszm33RRAk2Nv3IiLyKKmpRRcX52RuAMDjiERMdVWb/2FJJXfTCkCmbQGKM48jEumwqHDjVvaPa4BR7tUfctCvXz/Gjx+PUqlk4cKFOXywV65cyYIFCwgKCkIQBJRKJVFRUTmUtvwwNTXNoVxt3LiRRo0aqWMAe/Xqha+vr4alcPny5fTv3/+t5/k3RkZGORK1xMfH5yq3XC7n999/Z9y4ccyaNYuaNWvi4+ODo6Njjr7W1ta0adOGvn37cvnyZY02HR0dunXrhqenJ97e3lSpUgWAhIQEDcueiEhpxdG9Cn2+/5klQ/vgO2UiQ39dicK2cOJ8RQqGUYub8Ne6u/ifDcHITJda7V20LZIKiQRqDAL76rC8IZxbAE9OQoOJUKWrloV7d+Y2moutoS3r7qwjLi2OuY3mIhEk6Lq4UO7gQZ7170/goME479iO5F8eKCIib4uJTMoOL1d63XhED79H7PZypaqxQa59BYmAolN5pOZ6xO1/QnZyBmbd3BAkrzyuFAoFY8eOZeHCher1mb29fa7jaQPPpmWQ68o4ve0BeIymYfv2vJg5neTrftjPnoVBzZpUrNeQm8cO81E3H2xtOvPw4fcEPl9LBbdpRSKjo5mqIHpcSgbl7VQhY3HpJXvTX1Ty8qG8lRH7xzUo9DnCE14qVfnXyatZsybR0SrTca1atbh48aK6LSAggIkTJ3Lq1Cm8vb1JS0vD0NDwnf2JPTw8NGLYlEolmzdvJiIiQl3WIjU1lcTEREJDQ9+Y/GXkyJF5xvD179+fZcuWUblyZR4+fEhaWpraZfP27dtMmjQp1+s8PT05depVtrl69erlqWBmZmby6FHeVoqMjAweP36sVvLu37+fIx5RRCQvlEolZGaTEZaE3NZQ2+K8M/pGxrQeNZE/ly5g9YTh1O3Rl3o9+2pbLJE8EASBpgPdiX2RzOU/npIUl06TvhW1LdYr7Dxheizc3AbHZsKOwXD6Z+i+EqwraVu6t0YiSJhUYxJ6Mj2W3VhGWFIYG9puQBAEdMu5UHbtGgJ69CR63XosR3yibXFFSigWOjI2eJSjw7WHdL3+iC3VylPTNO/niHEDB5SpmcQfCyQ7MQOLfu4I8lceXebm5nz++ecsX75cnUDP1dW1KG7lrahUzw4DEx0OLb/FOZkzzX7fT8TXX/Fs8BAU3bpRf/RIbh47zKXfd9Dqk3GYmdXl+fM1uLl+hSBI3zzBf8Tsn4LooXGpWBqoFGTRXbMUo68jpaqDaaEe+jrv9sHdvXt3DldJULk8SiQSrKysyMzMfO9SAE5OTtja2nLrlirF+pkzZ3jx4oU6a6afnx/37t2jSpUqbNmy5Y3jLVu2jMTExFyPZcuWASpXg0qVKjFnzhzS0tJYsWIFgiDQsGHDXMe8efMmqampJCcn89NPP5GdnU2bNm0AlSvm/fv3USqVhISEMG3aNJo1awbA06dPOXDgAKmpqaSlpfHrr78SFBRE7dq11WOfPn2a1q1bv9d7J/LhoeuisvpG73hQYgO0qzZpgc/0OQBc2LmZn306lNh7+RCQSiV0HO+FhYMRd04H8/v8a9oWSRNBgGq9YdxVVRH18Fuw5CO4vFLbkr0TgiAwxmsMwzyG4Rfhx4JrC9RtehUrYtSiORG//ELytWL2/ouUKBz0dDhasyK2unJ6+D3K13UTwKSFExaDKpN6L5oXS26QnZyh0W5oaMjYsWNxdHRk06ZNXLhwoVj9njtVtaDtSA9CH8VxeGc4tktXYfHxx8Tt2UNwn35U8vDm1vEjJMfH4VRWtYESErKjSGSTSASMdGU8i0pCX6aPVJASnhT+5guLMaKSV8KoXLkylStXznG+atWqjBgxAk9PT5ydnXFxcUFHR+e95hg6dKhagfP19aVXr164urpia2urPkaNGvVW2Trfls2bN3PkyBEUCgVLly5l9+7dyGQqQ/Ps2bNp27atuu/atWvVcly8eFGjtERYWBht27bFyMiImjVr4uTkxPLlywGV1eX777/H2toaW1tbdu7cyf79+9UWyhs3bqCnp0eNGjUK7L5ESjdyG9Wua0ZwIslXwvMs+lrccaxclXHrXz1I5/fuSHpKySgN8SGiqy+j11RVjdjgB7Fc+/OZliXKBR0DVRH1yfdBIoeDn8HuEZCWd0bB4sgE7wn0q9SPNbfXcCTgVfkgm88+Q+7oyLO+/Uj4V61WEZF3xVJHxpZq5TGTy2h95QF380nGAqBfyQKr0dXIjE0jyvcuygzN0B0dHR0GDRqEp6cnf/75J7t27SIjIyOP0YoepyoWdBxXjdjwFPb8ehPDoaMpd+gQMnNz7LfuBqUS3y8nYGHRCGvrdjx9upDs7LQikU1XJiEkVpWlNEuZxeGAkp1tXVAWJxW/CIiPj8fU1JS4uDiNZB+pqak8ffoUFxcX9PTeMkiugAiIisM57QmpEh30bKsU6dy5kZSURK1atbh8+fI7xfOVdAYMGICPjw8dOnTQtigihUhBf9fTAuKIWKbKyGrcvCymLZ3+85jaQpmdzdbpXxLy4C4A49ZtR0c/9zgREe2TkZ7Fqk9Pk52lxOfrWlg6GmtbpNzJzoI/xsP1fzYGG06G5t9oV6Z3ICM7g6F/DuX6i+ssaLqA5mWbA5AVG0tA//6kP3pM2XVrMfzoIy1LKlKSCU/LoMO1h2Qplaz1cKFaHjF6L0l7EkfEipvoOJtgObAyEgN5jj43b95k7969ODk50bt37/fe/C8MYsKS+P2X6xiY6NBxnBf6hlIilyzlxKE9PDfWx2fwaBQNy3PpcjuqVFmArU3HQpep2c8nqWRnwuK+3rTY0YI6dnWY1eDd6j4XBXnpMq8jWvJEcmBoaIi/v/8HpeCBKsGMqOCJvCs6TiaYdXcDIOGvQNKD3y2jbXFCkEjo891PNOw7GIBFg3uRkVa8ai+JvEKuI6XX1FoAbPv+b0IfxWpXoLyQSKHzYhjxT+3TMz/DwS+0K9M7IJfIWdFyBU4mTkw8MZGAuAAApAoFThs3IrOy4vnIUWT8q6aviMi7YqMrZ291V8z/seidi8nf6q1bzhSrkZ5kvkjmxZIbZETmtAB6enrSt29fgoKC2LhxIykp+VsJixIzW0Paj/YkOjSJ3fOukpyYidW4sbRbtAJDJBxbNI+UNX9ialKDZwFLi0QmN2sjnkWpMn6WMS5DYHzOshUlCVHJKwYoX/tXRESk5CAIAoa1bLEYrLLCpz4o2YHaALU798C5mjcACwf2IDIwQLsCieSJhYMRHcdVA2D3vGukp2ZqWaJ8sPOEb6KhUie4vBxmmMKWviWi3IKeTI/fmv0GwIwLM9RxTjIzM8puWI/E0JCAvv1I8fPTopQiJR17PR12V3fFSCphlP8zrsfn7zav62yK1SeeZEalED7vCqkPc5b2KF++PH379iUkJIQNGzbkyGauTaydTOjxZU0y07P5ff51kuLSMCpfnvrDRxFlbMCDjeuR/hlOYtJ9kpKeFLo8Cn0dHoSrNmozsjPIVmYX+pyFiajkFSvyz64pIiJSfNF3NwcgvjjGR70H3ad+S+P+HwOw/vOxRAU/17JEInlRtooFnT+tDsDm6RfJyirGCxOJFHw2Qvv5qtf3D8CiGhB+R7tyvQXOps7MbTiXq+FX8dzgSUqmyiqi6+KCy84dSHR1CRgwkIS//tKypCIlGROZlL9qVURXIqG73yMCUvKPR5PbGmI3rQ4ya30iV9/OtZaes7Mzn3zyCS9evGDx4sUEBwcX5i28E1ZljOnyaXUy07PY/dNV0lIyqdqsNWZ2Djz5yBvd3+MRUuDpsW8LXRYXK0PSM7NRKpWY6poSn158FOL3QVTyRERERAoImbUqhiI9NEnLkhQMNTt2U2feXDdpFNcO7tWyRCJ54VjRjLpdy5MUl86yMSfJLu5JgGoNhRlx0G4eRD+GpfVUlr1nF7QtWb60K9eOrq6q2n+DDg0iM1tlOZXb2VF2/Xp0XV0JGjOWkC+/Qpmerk1RRUowTvq6HKpRARsdGV2uPSI0Lf/PktRIB5sJNdD3sCTxdBCRK2+Rna6ZkMXGxobx48djY2PDypUrefr0aWHewjuhsDGg0wQvUhMz+GOhHymJmdTu3IMXL0JJmzEDs5gqvNA5w7NJI8mKjS08OfRVcY1pmdk4mTgRlRpVaHMVBaKSVxwo5s9iERGRt8O8ZwUA4o+WDmseqDJvthv/OQAn1q/k6gFR0SuueLd2omwVCwD2/Xpdy9K8JbWHw9RQaPBPXdS1bWBjN4gJ0KpY+fFt/W/5qdFP3I2+y7Ajw14pejbWuGzfhmG9esTt3cv92nWI2bq1WKWwFyk5WOrI2OnliiBAk8v32RKav8IhSAUs+lXCvK87aU/iCPnmfA5Fz9TUlP79+1OuXDnWr1/P/fv3C/MW3gkzW0O6TPImMTqV3+dfo3zNxng0a8XpLesp13Y+6EiJkJ7naY+epBWSgqr4p1ZeUlom6Vnp6u92SUVU8kREREQKCJ0yquyGEt3CL9xalFSq35hhi1YBcHLDSm4eK9lppUszHcZ6YlvOlOD7sSweeZzQx3HaFunN6BhAi+nwxVOo/Qk8/gt+rQb7xkNG8Uz808alDTPrzeRq+FW67u1KVIpqAS7I5ZRds5qyG9YjyOWEzZjJ809GiFY9kffCQU+Hv2pVpJWlCZ/ee87mkDdblgw8rVB0Lg9AyDfncyQD09HRoV+/fri7u7NlyxZOnjxJdnbxcPG2KmtMxwlepKdksuvHq1Rv2xskAtf2n8DGtgNpHYzJSkogwKc3cfv2Ffj8in8ylMYkp+No5IhEKNlqUsmWvrQghuKJiJQadJxNSuV32tTalklb/6Bay7YcXfkbR5Yv1LZIIrkgCALdv6hB9ZZlAdj901UeX3+hZaneEgNzaPcTfHoHTBzh2nqYZQN+W4plcpZubt1Y0HQBcWlxdNzTkeDEV3FOhrVrU+HyJSzHjSXpzBkeNm1WaNYHkdKNuVzGQveydLcx44sHzzke9eY4MaO69liP9QLgxaLrZEZrbpZIpVJ69uxJ/fr1OXnyJCtWrCg2mTct7I3oMtmbrMxs/lz1mJodenL90B8Y6TQnNSsMsx3/Q69iRUK++JLQ/31ToJbyl0peUEwK+jJ9kjKSSrQlXlTyREolSUlJVK5cmcTEkpvO/n0YMGAA+/fv17YYIqUUQRBo/vEoJFIpt44f4dy2jdoWSSQP6nV3ZciPDbBwNOLw8tskRBdPi1iumDrCpDvQfLrq9e8jYVkDCDirXblyoXnZ5vzS9BcSMhJos6sN18KvqdsEQcBqzBgcFiwgKyqKJ23bET73Ry1KK1JSEQSBeRXLUE9hRN+bTzgQEfvGa3QcjbGbUhupmS4vlviRlahpTZZKpbRs2ZLBgwcTGxvLqlWriInJmZ1TGyisDeg8sTrpKZk8veWIkbkVx5f8gZFRJYIjtqnqUtarS+yOHYR+/TXKAir2bmmkC0B4fCrp2ar3KyO7+BSSf1dEJa8Y8KYSCs7OzhgYGGBkZKQ+lixZUlTilUiWLVtG586dc9T6a9WqFTY2NmRmavpZN2nSBD09PYyMjLC2tmbAgAHvnGb48ePH1K9fHwMDA7y9vblx40aefT/55BPs7OwwMTHBw8ODP/74Q922bt06ZDKZxv93YOCrWi0jR47E1dUVQRA4efKkxriTJ09m+vTp7yS3SMGSlZBO8rUXJXr3Lz8EiYQxq7cAcHH3NlaO/RhlMXH1EdHEwESH+t1cAdgw9TzJ8SXMZbDhJJgeC702QvhtWNce1rSB+BBtS6ZBDZsa+Lbzxc7QjkGHB3E59LJGu0mb1rj+dQzjNm2IXruWx23aki26b4q8I/pSCWuqulDZUI+htwP48WnoG58zUlNdrEZWAyVErLhFVlJOhcXZ2ZkhQ4YAsGLFCp49Kx4x5QobA7pO9iYrSyAzy4vokCBkqfWJjjlHQpI/ZdeswW72bOL2/cGzAQPJjIj4z3Oa6KkseRJBwMbABoDUrBK0QfYaopJXQjhy5AiJiYnqY/To0doWqcB5XfH6L6xevZo+ffponAsNDeXEiROkp6dz5MiRHNesWrWKxMREbty4gZ+fH7NmzXqnOfv06UOLFi2Ijo5m+PDhdO3aNc97mjRpEgEBAcTHx7NmzRr69+9PVNQrX/smTZpo/H+XLVtW3ebl5cWqVasoV65cjnG9vLxITk7m+vUSknShFKJXXgGA8rWA99KEjr4Bo1b4AhAf8YL5fToR9vihlqUSyY0ylc1pMaQyAGu/OEtiTAlbsAgCVO4E08KhyVQIvADzK8GFxcXKhbOaVTVWt16NXCJn6JGhbPTXtHLLHRxw+HkeAOkBATzt2Ins5PxroImIvI6RTMrRWhXpaq1gfkA4A249JfMNmXRlprpYDfcgMzKFyDW3yYzK6ZZpY2PDoEGDsLS0ZO3atVy8eLGwbuGdMLM1pOtkb6ycP0KqU5YrW1WJYu7e/RIARbeuOK1fT3pwEE+79yD1wYP/NJ+OTIJMIpCakYWeTA+A5IyS+z0VlbxiRcEE8ixcuBA3NzeMjY2pXbu2Wnk4c+YM1atXR6FQ0LhxY+7evftqZkFg8eLFODs7o1AoWL58OefPn6dy5cqYmZnx3XffqfsOHjyY8ePH07RpU4yMjOjYsSMRERH06NEDExMTmjZtqqGwnDp1iho1aqBQKGjSpAmPHz8GICAgAJlMxrJly3BwcGDw4MFkZmbyzTff4OTkhKmpKU2aNHnjOK8TGBhISEgIHh4eGue3bNlCnTp16Nu3L76+vnm+f3Z2drRt25Y7d96+btP9+/fx9/dn6tSp6OnpMWrUKLKzszlz5kyu/d3d3dHVVbkFCIJAenr6W9etGTlyJE2aNEEul+fa3qhRIw4fFhNjaAu9f+rlhUy/kGth2tKCgamCydv2U867FgCbpn7KrtnfiFa9YkjFOra0Hl4Vua6UjdMu8PhaCYnR+zdyPWjyJQw7DhXbwZ9TYaYCHvypbcnUlDEuw4leJzDXM+fHv39k98PdGu2CVEqle3dx/G0RGRERPGrWnIzwEvh/IaJVpILA0irOTC9vz7GoeDpff8i1+PzL9shtDbEaplL0wn/zy5GMBcDExIQhQ4ZQr149Dh8+zL59+8goIDfI/4KJhT6dJnhhZNmKxKgYlGnmJCbdJzNTdQ8G3tVx2bYNqakJz/r1J+E1D6d3JUup5GnkK8UuI0v778H7Iip5pYxNmzbx66+/smfPHuLi4li2bBk6OjpERUXRqVMn/ve//xEREUGHDh3o1KmThqXpzJkz+Pv7s2fPHiZOnMjPP//M2bNnuXDhArNnz+bJkyfqvjt27OC3334jNDSUgIAAGjRowIQJE4iMjEQul7NwoSopw/Pnz+nRowcLFiwgKiqK7t2707t3b/U4WVlZ+Pn58fjxY1auXMncuXM5fPgwZ86cITo6mm+//fatxvk3t27dUrsz/htfX198fHzo3bs3e/fuzTNeLzg4mEOHDuHl5QXA6NGjUSgUuR4vLar+/v5UqFBBrbgBeHh45Ksojh49Gn19fWrVqkWzZs00lNKLFy9iYWFB5cqVWbZsWZ5j5Ia7uzs3b958p2tECg69SuaYtHEGIHL1bdKDErQrUCHT9cvpjP7HfTPgxjXm9+nEi4Anb7hKpKhxrWFN729qY2Suy+EVt9n149WS6VLsWAP6bIEea1WvN/eChdXh4THtyvUPprqmHO95nAYODZhzeQ7HA4/n6GPcogWOv/5KVlwcjxo3JiMsTAuSipR0RpW1Zke18lyLT6bd1Ycsf57/hoFuOVNsJ9dEECBi1a1cNyElEgmtWrWiXbt2XLt2jfXr179z6EphoGsgZ/DcjijsG3B3pwUgIyjo1Wa93N6eshs2IDU1JWj0GKLXr3/v3zepIGCsJ8NM1wyA5EzRklc6SU+GEL/CPdLf7sPTtm1bDeXi1KlTufZbt24dX331FVWrVkUikeDt7Y2xsTEHDx7E09OTbt26IZfLmTx5MsnJyfz999/qa7/44gsMDAxo2rQpJiYm9OvXD3Nzc9zd3fH09NRQHHr27EmVKlUwNjamXbt2VKxYkYYNG6Kjo0PXrl3V8WibNm2ia9euNGzYEKlUyrhx4wgICCAgIEA91vTp09HT00NfX59169Yxa9YsypYti1QqpVGjRm89zktiY2NzxOLdvXuXGzdu0KNHDxo0aIC5uTm7d2vuso4YMQKFQkHdunWpV68eU6dOBWDJkiXExsbmeryMjUxMTMTExERjPBMTk3wTvyxZsoTExESOHTtGq1at1Epp48aNuX37NhEREaxdu5Zvv/2WXbt25TnO6xgbGxMXVwLSppdSBEHApEkZzPu5A/DiNz+UGaXbuqVvZMzkbfup3KgZABu/HM8vfbuQ+oElPirumFjo02d6HazKGhP2JI7Dy2+jLO5F0/Oiajf4OkJVciE+FDZ1hyX14EFOV/yiRiqR8nPjnzGWGzPhxAR2PNiRo49RwwaU26eqOfm0R8+iFlGklNDQ3Jib9augIwhMfxSC7Qm/fN03pSY62H5WE92yxkSuvk3Cqee5KkO1a9dm6NChxMfHs2LFCkJDQwvzNt4KmY6UPjNGkp4oI/axPYGBG8n6V7yczMyM8ocOYtKmDeE/zCFozFiyk/K3cOaGg5k+qZlZ6MpUm/axabEFdQtFjqjk5UfkA1jRuHCPyFf+w/k9ag8dOqShXDRu3JjAwEB1Yo4qVaoAEBQUhIuLS47rQ0JCNOK6JBIJZcqUISTkVQC7tbW1+m99ff0cr/+tsLxt38DAQDZu3KihoCYlJaldEyUSCXZ2dupr85L/TeP8G1NT0xzK1caNG2nUqBF2dnYIgkCvXr1yuGwuX76c2NhYAgMDWb58OQYGBjnGzgsjI6Mcu13x8fE5lM3XkUqlNG/enGPHjnHw4EEAXFxccHZ2RiKRUKdOHcaPH59DIc2PhIQETE1N37q/SOGgX9VS7YEd/L9zRG7w165ARUDbMZMYtmgVlRs2JTsrk8VDexNw49qbLxQpMmRyKT2n1KRKIwee+EWw5dtLRIe8+0KoWCDTUZVcmBYKXZbCizuwuacqOUvif0/C8F8wkBtwsPtBmpZpyrcXvsXXP2eIgK6bG9afTSYrMpIX8+ZpQUqR0oCVjpzAJtXoaKUAwPHUDYJS807sIzGQYzGoCsZNHIk7FED0tvsoM3LGkJcpU4aBAwcilUpZsWJFvsnkigoDU2OqtexA2FUZ6Rnh3L+1WaNdkMtxmP8zDosWknzxIgEDBpCV8G7eNAY6MhJTMzGQqdaAWdklN75epm0BijWWFeCT3C1mBTpHwvv5+5YtWzaHMlOmTJlcrVv29vZqJQJAqVTy/Plz7O3t32vut8XBwYHhw4er3Tf/TUBAQA6Xypfyu7q6vvU4r+Ph4aERr6dUKtm8eTMRERHY2toCkJqaSmJiIqGhoRpKZm6MHDkyzxi+/v37s2zZMipXrszDhw9JS0tTu2zevn2bSZMmvVFeUCWdefToUa5tEonkndwO7t+/nyMeUaToEQQBu69qE77Yj+z4dFL9o8hOzUSiV7p/dk2tbWk7djKeLdux9ZvP2TX7G9pP+AL3eo20LZrIPwiCQJO+FTGzNeDs9ods+fYSjXpXwKOJo7ZFez8EAbz6gkdPuLxCFa+3oCp49oKmX4OxjVbE0pXqMqfhHEYeG8ncv+dSy7YWFc0ravQxHzqUuL37iFq1Gn1vb4ybNdOKrCIln5VVndkQHMkXD4KoecEf/wZVMZfn/rwRJAKmbVyQ2xoSvfMB4UGJWA6pgsxCX6OfpaUl48aNw9fXlz179hATE0Pjxo1zrN2Kkkb9BvLw8jkSgxN4lrAWc9Pu2LpobmybtGyJzNycZ/3686BWbdxv3kDQ0Xmr8RX6chJSMzHRVXlnxWdo3131fREtefmhYwD2XoV76Ly9tehtGDx4MHPnzsXf3x+lUsm1a9dISEigbdu23Lhxg71795KZmckvv/yCvr4+NWvWLND5X6dv377s2LGDM2fOkJ2dTUJCAjt37sxX/q+//prnz5+TlZXF6dOn33kcJycnbG1tuXXrFqCKNXzx4oU6a6afnx/37t2jSpUqbNmy5Y33sGzZMo1Ml/8+XsbLVaxYkUqVKjFnzhzS0tJYsWIFgiDQsGHDHOPFxcWxefNmEhMTyczMZMeOHZw4cULtmnr48GEi/kkFfO3aNRYuXEinTp3U16enp5OamopSqdT4+yWnT5+mdevWb7wvkcJHaqqL/dQ6atdNZVYJdY17DxwqVqLl8LEAHPj1R27+JSYDKm5Ua1YGn69rA3B66wNWTT5dMuP0XiKVQ90x8NlDUDjBtQ3wcwU4uwCyCi5787tgIDdgUbNFOJs4M+DQAJ7EacarCoKAy57d6FaoQPCEicT/qX13U5GSy0AHS/7wdsNIKqHJ5XsE52PRAzDwssZmvDeZsWmEL7hGyp3IHH1kMhmDBg2iSZMmnDx5kj179hRoNvR3RUffgFYjxvLiph46JiEc9d1O6KPYHP0MatTA7p8s6cGff4Ey6+0scoa6Up5FJ6MvVSm8aZlpBSZ7USMqeSWEVq1aadRNmzZtWq79+vbty5gxY+jQoQMmJiaMHj2ajIwMLC0t+f3335k+fToWFhbs2bOH33//Pc8MjQWFi4sLW7du5fPPP1fH9+3duzfP/p9//jnNmzenXr16WFhYMGPGjPcaZ+jQoWoFztfXl169euHq6oqtra36GDVqVL5ZNt+VzZs3c+TIERQKBUuXLmX37t3IZKpdtNmzZ9O2bVtA9VBfuXIljo6OWFhYMGfOHDZv3qxO9HL06FGqVKmCoaEhvXv35ssvv9RIMtOqVSv09fV58OABrVu3Rl9fX13X5saNG+jp6VGjRo0Cuy+R/44glwKQ4vdhZdLzbNEGn5lzATi64jeu7N+jZYlEXsfS0YhRi5tg76YgLSmTJaNOlLwyC69jZA1jL8OI02BZEY5Nh+8sYNcwiH5a5OKY6pqystVKDGQG9N7fmztRmgm5BJkMx0UL0XF1JXjCBJ506kxGeHiRyylSOqhlasiBGhWQCwLdrj8iIj1/bzG5tQH2U2uj66ogyvcuCedyhsEIgkCTJk3o3LkzN2/eZOPGjcTGxhbSHbyZct61kWVVJCPeFBuvnez71Y+wpzlzESi6d8Nx6RIS/vqL0P9981abWLoyKdnZSmQSGQKCuih6SURQluhtu3cnPj4eU1NT4uLiNBJlpKam8vTpU1xcXNDT0ytSmZ5ExVMu7TFJEn0Mbd2LdO7SSlJSErVq1eLy5ctvjIsrTQwYMAAfHx86dOigbVGKLdr4riuzlARPO4ugK8VqmAc6ZYyLZN7iQkZqKgsH9QDAzrUifWf9rGWJRHLj2p/PuLBH5eredXJ17N3MtCxRAfHsPJyYDQH/lLT5aAw0/x/I9fO/roAJiAtg5LGRRKVEsaHtBipZVNJoV2ZnE+Pry4v5v4BSifXkyZgN6K9V1ziRksuDpFS6XX+EmVzKTi9XbHTz39RXZimJ3nKXlNtRGNaxRdGxPIIspy3ozp076vCfAQMGqMNgipqAm9c56juRcm2CSLz/PcG3bOkyqTr2roocfWO2biNsxgysJozHctSofMf96c97/H49hHNfNaOmb00+rfEp/Sr1K6S7eD/y0mVeR7TkiZRKDA0N8ff3/6AUPFAlmBEVvOKHIBWQ2RigTMvixWI/sktxofTckOvpMX7DTpy9ahD66D5LhvXVtkgiueDd2omm/VUbjXt+vs6Dy6Uktb9TPRi8X+XG6dYaLi6GWbZwa2eRFlR3NnVmcfPFZCoz6bW/F388/kOjXZBIMB84ECdfX6QKBeGzZxPQu7do1RN5LyoY6rHRsxwPk9NocvkeF2Lzz3YsSAXM+1VC0bk8SVdf8GLZDbLic1qxqlSpwsiRI5FKpaxevZoH/7EA+fvi5OGFoU4NMpLluNS/gsJan/2LbhCVSw1As94+WI4eRcSvC0n8JwwoL3RlUtKzVBmxdaW6pGWJ7poiIiIiIvlgM8Eb3XKq4PCk0rJ4fgfkunp0+3I6Ml1dUhLi+W2ID5nFoNCuiCaVG9jT/7u6GJnrcnSNP+d35Z4QqkRiZA39tsPQf2rq7RoKS+rCmfmQVjTlPsorynO0x1EqW1Rm6tmpzDg/I0cf/apVcD15Avuf55H++AmPGjchYuHCkh0vKaIVqpsYcLq2OzoSga7XHzHG/xlZ+XyOBEHAqK491iM8yYpJ5cVv10nxj8rRz9jYmJEjR+Lo6MjWrVvx8/MrxLvIW9ZG/YcScVvBixf76Dy5HIIAf668TWpSzmeL5ZgxGDZuRPBnn5MeFJTnuLoyCWn/ZBs1kBuQnCHWyRP5D4g/2yIipR9BImA5XJX1NG7/E4K+OkPk+jsoM0t3Db1/I0gkjF+vSpiUlpzEr/27kplecuMdSiumVvr4TKuNbTlTrh8NZOfcK9oWqWApUwumhUGjzyElGv6aCT84wPpOqpp7hYylviW+7XxpVqYZux7uot/BfmRkaS5KBUHAtH17nDZtwqB2bSKXLOXZgAFkFYPC1CIliwqGelz8qDLflLdnd3gMg289JT07/+eOThljbCbWQGZjQNQGf+IOB+TYZDAwMKB///44Ozuzd+9ejh49WuQbEY7uVUh65oBSmU1w6Fq6f1GT1KQM9i64Tmria98pqRSHn35CamRE0KjRZOVRx1VPLiUpPQulUomBzICE9HcrwVCcEJW8YoSo7ImIlG4EQaXoCXLVT2/q3WiCvz5HZlSKliUrOgRBYPK2/erMm78O6EZSbIyWpRJ5HT1DOd0+96ZqIwfCn8aXLoseqOLxmn0Nnz1QJWip3AWenoL57vD7mEJX9uQSOb82+5VR1UZxM+Im3f/oTmRKzsyGehUr4LRhPXazZpFy5SoPatch7o8/RKueyDuhL5Uwuqw137k5cDQqns7XHvF7eEy+Vj2psQ6WH1fFsK4dCSefE7HsJllxmq6LUqmUAQMG0Lx5c86dO8fMmTPJessslgVF32+XkhBkTNBzXxS2unQc50VCdCp/LPIj+TV3U6mJCXazZ5EeEEDYN9Nz/R6ZGeqQla0kPjUTNzM39j7ey+mg/F08iyuiklcsEH+sRUQ+FPTKK3D4rj4Osxuoz4X9dIXgGReI3fc4nytLF54t2lCvlyqYfdmIAWLmzWKIIAg08HHDxFKP60cDObDkprZFKhzsqkGv9TD2KtT8GPx8Vcreug4QfufN1/8HRnuNZmqdqTyNe0rT7U05+ORgrv0U3bthP3cOSCSEfP4FDxs1IiM4ZxZEEZH8GOZoxR/ebsgEgZH+z2h8+R5HInNmpXyJIAiYdXbFYkgVMqNSCP3hMvF/BWqUAxIEgQYNGlCxoqoG5KpVq4iLy3vMgsbEyhqD7HYohWRCQ/diVdaYzhOqExWcxL5fr5P5WqF3w48+wmbqFOIPHiR2x44c41kaqurpxSanM7XOVGrZ1MphaS8piNk1/0G72TXjKJf2hESJPkZidk0RkUJFm9/13Ei8GErs749AKkC2EscfctZWLM0E3b3Nvvk/kBIfhyCRMGnLPm2LJPIaWVnZbJ/1N9EhSXT+tDqOFUtJ1s28iHwIV9bClTWQmQJ6Chh6BKwqvvHS9yUgLoD5V+dz4vkJPrL7iCUtliCX5MyGqFQqiVqxkuj168mKicF+3k+Ytm9faHKJlF6uxScx81EIl+OSGFHGii9d7NCX5m37yUrKIOGvQBLPh6BTxhjzPu7IzDWfoQ8ePGDfvn0olUr69OmDo6NjYd8GABHPnnL2RGdMHXVo2vxvBEEg5GEs+xffoIy7OW1GVM2RpTZowkSSr12l3O7dyKys1OevB8bQdcl5Dk9siLutCUqlsthluBWza5ZEitmHSEREpPAx+sgOxzkNUXQqr21RtIJjpaqMWLoeUKWQ3/y/z0RXtGKGVCqhx1c10TWQsfeX6wTmkoihVGHpBm1mw5cBUOYjyEyDxbVhRRO4sQ2yC94dzdnUmV+a/MJor9FcDruM90bvHIXT4R+X7xGfUHbNaiTGxoRM/oz4w4cLXB6R0o+3iSG7vFz50sWW9cGR9PTLv6ae1FCOolN5rD7xJCshnfBfr5F8K0KjT4UKFRg1ahRJSUmsWbOmyBKyWDm5YCRth1ISQ+ATlXXO3k1B037uPPGL4M8Vt3NcY/v1NMjM4sW8eRrndWWquraRCSpXz+Km4L0LopJXDHi5nMmm5H6QRERERN4XqUzG5G37sXAsS+iDe6ybPFrbIom8hlxHSvsx1UCAPxbe4MKeUhajlxtyPRj6J0zwU9XWS3wBez6BOWVhhik8OFKg00klUkZVG8W46uMwlhvT+ffO7HmYuxuznrs7bmdOo1+zBsETPyV606YClUXkw0AmEZjobMsOL1dC0jJodeUBdxPzjxHXLWeK9bjq6LoqiN50j+gdD8hOy1S3GxoaMm3aNKpVq8bvv//OsWPHyH5DopeCoH7nKSSF6/Hg7iL1RqFbLRvKVDLj8fUIbhx/rtFfZmWF5cgRxP2xn/Tnr9pMDVQW9PziFUsKopJXDFAKEoJ0bQjW1U5BycLgypUrtGrVSttiFCmZmZl4eHgQLtY0EhF5Lwb/vIRqLdsRHfycpZ/0J7uIA/hF8seuvCkjFzbBzNaAa38Gsv+3GyizS/5C6I0Y26ose5/egcEHwLyc6vzmnjDLDvw2QwHG7AzzGMauTrtwM3Pjm/PfMOzIMOLScsY4SXR1KbtmDabduhH+3ffcda8kZt8UeS9qmhqytVp54jKzaHXlAaej888oKTWUY9G/EqbtXUi+Gk7IjAsk33xl1ZPL5XTq1IkWLVpw7tw5Nm3aRGZmZj4j/ncMTEyxtRyExCCE549fxbZ2HO+FSzVLzu96xNObmsmNFD17IlUoiFqxUn3OSFcGQGB0yS2d8BJRySsmRMkVZArSPNtXr16Nl5cXhoaG2NnZ0apVK/78888ilPDdmDlzJpMnT9Y4l5qaiqmpKd26dcvRXxAEDA0NMTIyomzZsnz//ffvPOehQ4dwdXXF0NCQzp07ExPz5ox9c+bMQRAEzp49qz73/PlzOnTogEKhwMXFhe3bt2tcExYWRo8ePTA1NcXCwoIpU6YAIJPJGDp0KD/++OM7yy4iIqKi2ccjMHcoQ3JcLL/07UxyfNEF8Iu8GalcQq+ptXCooODZ7SgOLb/14bjXCgI4N4CRZ2BqCHj1g4xk+H0ULPSGP6dBesEsDO2M7NjeYTvDPYZzKfQSrXe15nLo5Rz9JDo62M36HtPOnQB4ULsO6QEBBSKDyIdFBUM9btevSkMzI/rffMKBiNh8+wuCgHFDR6w+8QQlRG++R8zuh+qyQC8TsvTr14+AgADWrVtHcnLhKk5eDceSkazD7Svz1L9LgiDQ5pOqWDuZcGytPxHPXymwEgMDTDq0J/7gQTL/WTMa6qjW4rr5xCeWFEr+HXwAfPfdd/zvf//j+++/JyIigufPn/PFF19wuJj64YeGhnLlyhVatGihcX7fvn1IpVIOHjxIbGxsjuvu379PYmIiO3fu5IcffuDQoUNvPeeLFy/o06cPCxcuJCIiAoVCwfjx4/O9Jjg4mC1btmBnZ6dxvn///ri7uxMREcHu3bsZM2YM9+7dU7d36tSJevXqERoaSlBQEH379lW39e7dm40bN5IhFnkWeR+UEL7gKrH7n5CdWri7nsUViUTKkPlLqdO1FwC+X03UrkAiOZDpSOkyyZuGPm48vRHJ2R0PtS1S0aNjCF2WwPRYGHIY7Dzhwm8w2w6OzYCE/+7RIZPIGO89no1tN5KUkcTQI0OZeGJiDqVaEATs587Fecd2BH19HrdpS0ZIyH+eX+TDw0AqYZ2HC22tTBl+O4ClgS/eeI1uOVMcvq+PSWtnkq6GE7HyFln/Kl3g6urKwIEDiYqKYtGiRTx+XHhZpHX0DLBSdENu/pxbJ/aqz0ukEtqP8UQQ4ODSmyTGvCoFYTlqFABRy1cAIPtHuYtPLfnrOFHJK0bkFpEXExPD7NmzWbZsGR06dMDAwACZTEaLFi345Zdf1P1mz56Nk5MTJiYm1K1bl5s3X6W6dnZ25qeffqJSpUoYGxvzzTffcP/+fWrWrImpqSkjR47UmHPx4sW4ublhaWnJoEGDSEpKAlRZkxo0aICJiQk2NjZ8/vnnud7H0aNHqV27NlKppmXS19eX0aNHU758+RzWsX9Tu3ZtqlSpwp07b5+6es+ePdSsWZN27dphYGDAjBkz2LFjBykpefuWT548mRkzZqCjo6M+l5iYyJkzZ/jmm2+Qy+VUr16dLl264OvrC6ishbq6ukyaNAkDAwP09fXx8PBQX29ra4uZmRlXrpSy4sEihY5+JXMAMsKSSTwbTNqjWO0KpGUa9B5ItZbtSIiKYMMX41AWQUyHyLvh0cQRM1sDbh4PYt9CP22Lox0EAZzqQu9N0HUFVGwPF5fBL5Vh+yC4uR3+42fXy9qLy/1UVry/Av9i0OFBJKbnLOSs7+GB/exZADxq1pwXP//84VhZRQoMHYmEJZWdGOhgyczHIcx58uaakYJMgknTMlgN9yAzOpWwn/4m5fYr10gnJyeGDx+OtbU1vr6+XLt2rdDkr1prIoIU7lxdTEZqqvq8nqGcrpO9SYxO48iq22Rlqb6XMjMzzD8eQszmzWRGvUoqFR6fmmPskoao5BVzLl68SGZmJu3fkCLZ3d2dK1euEBUVRcuWLRk4cKBG+4EDBzh37hx///03P/74I+PGjWPPnj3cv3+f33//nRMnTgCwY8cOli1bxrFjx3j+/DkZGRlMnz4dgG+++Yb27dsTFxfHkydP6NmzZ66y3Lp1Czc3N41zUVFRHD58GB8fH3r37q1WmvK659u3b+Pl5QWAp6cnCoUi12Pz5s0A+Pv74+npqR7DxcUFuVye547RyZMniYyMpGvXrhrnlUql+vj3uZcK5+XLl3F2dqZt27ZYWlrSvHlz7t69qzGGu7u7hpItIvI2SE10cfihAXbT6gAQteUesX88JuHUc7X7y4dG08GfUK1lWyKePWX7t1PFBWsxQxAEfP5Xm/LVrXjuH82en6+RlfFhflYBqOYDfTbD5LvQ6nt4dg52D4dvzWDvWHh4DN7zM6wv0+fWoFvMbjCbWxG3aLajGbcjc2YMNGnbFteTJzBu2YKolat41LgJqf/yRBEReRukgsCcCo60szRlwbNwht5+SkLmm2OkdZ1NsZ1UA7mjMVG+d4ny9VcnZTE3N2fAgAF4eXmxb98+9u/fXygJWXR1rVAY18OkXDDX/tQsyWPhYETXyd6EP43n/K5XyaPM+/UDiYSYTao1paWRDnryvEOoSgqikpcPKZkp+Ef5F+qRkpl/FqOoqCgsLS01rGK2trYoFAqNGl/dunXDysoKuVzO1KlTuXnzJomJr3b6xo8fj7m5Oe7u7lSrVo02bdpQpkwZbG1tady4MTdu3ABUsX9TpkzByckJfX19pk6dys6dOwFVIO2zZ88ICwvD0NCQ2rVr5ypzbGwsRkZGGue2bduGq6srHh4e9O7dm7Nnz/Ls2TONPlWqVMHMzIxBgwYxa9YstbvnzZs3iY2NzfV46SqZmJiYo1aIiYmJxnvwkszMTD799FMWLFiQo83Y2Jj69eszY8YM0tLSuHLlCjt37lRbM4ODg9m6dSvjx48nJCSENm3a0KVLF7L+lSDC2Ni4SAuBipQeBEFAYvhPbawsJYnnQog7FEDIzAtkROb/W1EakcpktBg2Bu92nQm6e5uFA7oT+ui+tsUS+RdSqYQ2Izyo3MCekIexrP7sDCEP3xwPXarRN4OPRsFnD6HZ/6BsXbi+ETZ1h5kKlcIX+/yNw+RGx/Id2dx+M2a6ZvQ50IdlN5bl2PyQ29riuGgRNlOnkJWYyNMuXUl78rQAbkzkQ2ONhwtLKjtxICKOBpfucjjizWsbib4Mq088MO9dkRT/KMJ/uUbaM1VCIJlMRufOnenQoQNXrlxh8eLFxBdCsqDyFcahZ5bGfb81OeK67d0U1Ovhys3jQdy/FAaAVKHApH074v6p8WduqEN8Ssl315RpW4DizNO4p/js9ynUObZ12IZcKJNnu7m5OZGRkWRlZakVvbCwMMLCwjRiyVauXMmCBQsICgpCEARVwdSoKLWyZW1tre6rr6+f4/VLZSgwMJARI0YwevSrFOYv48t+/PFHpk2bhpeXF/b29nz77bd07Ngxh8ympqY5lCtfX198fFTvpZubG9WrV2fTpk1MnTpV3efOnTvvXTjTyMgoxw9FfHx8DmUTVO6oDRo0oGrVqrmOtWnTJsaMGYOjoyPlypVj4MCB6vvR19enQYMGtG3bFoDPPvuM77//nkePHlGxoqpQbkJCAqampu91HyIigkTA4fv6ZKepNg5Cv7uIMiOb8HlXMG3vglE9e4RSEBD+LjQdNBy5rh6X9mxj87TJeLXuQPOPR775QpEio2l/d1yqWfLnytvs+fk6VRraU6+7Kzp6H/AyQxCg0WeqIyUWrqyG87+pFL7rG8F7EDScDGZO7zRsJYtK+LbzZerZqSz2W8zBpweZUnsKde3ravQzHzgQw3r1eNKhI086d8Z54wb0//GQERF5W7rZmOGkp8Ok+88ZfPspX7jYMtHJBkk+9eMEQcDAyxq5gxERy28SsfQGhh/ZYdrWGYmujJo1a2Jra8u2bdtYvHgxgwYNwt7evsBkVpjWxNioBhZV/Tm3bSMth4/VaPds6kjow1jO7niIY0UzDBW6mHbsRNyu3ST//TcKAx3iSoGSJyg/MP+XvKrEp6am8vTpU1xcXNQWspTMFJ7GFe7ul4upC0HxmSTLpEiVSqqaGmq0x8TEYG9vz/bt2zUUqpdKnlKpJCAggCpVqnDq1Cm8vb1JS0vD0NCQJ0+e4OzsjLOzM76+vjRo0ACAJk2aMGzYMPr37w/A4MGDcXV15euvv6Zly5aMGjUq1wyYL1Eqlezbt4/evXsTExOjYVEEWL9+Pbt372bvXlXQ65MnTyhfvjwKhQJdXV1A9f/g4uKidoMUBIHnz5/nquRVqVIlh9XvJcuXL6dfv34sX76cnTt3cvToUQACAgJwd3cnJiYGfX19jWu6dOnC6dOn1bF4LxO1zJkzh+HDh+eYo2/fvjRq1IiRI0eycuVKtmzZwvHjx9XvhUKh4PLly2olz93dnTVr1lCvXr0830MR7ZHbd704k52cQdyRZyRdfBUXYeZTEQNPyw9O2YsNC2X9F2PJTFMFzU/asg9B8mG9B8WdjLQsrhx8yo3jQegZyGgxpDKO7ubaFqt4ERMA6zpA3D/WvIrtoMEkKFPrnYZRKpVsvb+V2ZdmA9DWpS3f1f8OXamuRr+0R494PmIkGcHBOPz6KyatP6zyRiIFQ7ZSyc8BYfwcoEoqdLdBVczkb97EUWYpSTwbRPyxQCSGciwGVUHHTrXWTUxMxNfXl5iYGHr06JEj1Oe/EBFxhJu3RvHoDxe6T1qNZRnNzZTk+HS2z7qMlZMJ7Ud7oszO5l7lKkgMDZk7bikhsSkcntiowOQpSPLSZV5HfDrmg75Mn8oWlQv10Jfp5yuDmZkZX375JaNGjeLgwYOkpKSQlZXFpUuX1H0SExORSCRYWVmRmZmpjqF7Hz7++GNmz56tjmULDQ1VZ/HcuXMnISEhCIKAQqFAEASEXHZyWrZsyeXLl9UujL6+vtSuXZu7d+/i5+eHn58fV69e5eHDh28VfHvnzh0SExNzPfr16wdA165d+fvvvzl8+DDJycnMnDmTnj175lDwANatW4e/v79aFnt7e9auXasey9/fn8TERNLS0ti4cSOXLl1iyJAhgMot9saNGxw7doysrCwWLFiAra0trq6uAISHhxMVFUXNmjXf9a0XEckViYEcsy6uOHxXD5PWzgDEbLtP8LRzZESU/Do+74LC1o7x63fiWFllhd//q1iupLgh15VSt6srfWfUQddQzt4Fflw9HKBtsYoXZs7w6W1V3b0q3eDJSVjdAhbVhFs7Ifvt6kMKgkAf9z5c6X+FPu59OPz0ML3398Y/yl+jn66rKy5796JXuTLBEybwtHsPUv4J0RAReVskgsDnLnaMLavyBGt8+R7X49/8DBKkAsaNy2A9vjqCVODFr9eIP/YMpVKJkZERQ4YMwcnJiU2bNnH27NkCi9OzsGiMrq4dZRuHceWPXTnaDUx0qNO5HAE3I4kKTkSQSDBu0wapQkFSWiYmevICkUObiEpeCWDGjBl88803TJkyBQsLC8qUKcOiRYs4eFBV7LFq1aqMGDECT09PnJ2dcXFx0cgY+S706dOHoUOH0r59e0xMTGjcuDH+/qoHxuXLl6lRowZGRkaMGjWKLVu2qC1z/8be3p4aNWrw119/ASr3x1GjRmFra6s+KlWqRLdu3fJNwPIuWFtbs3nzZsaMGYOlpSVRUVEsXLhQ3d62bVtmz1btdioUCg1ZpFIp5ubmGBgYAHDw4EGcnJywsLBgw4YNHDx4UH2fFhYW7Ny5k3HjxqFQKNizZw979uxRu9Ju3bqVAQMGvPf7LyKSF4JciknTMlhP8Magpg0A4T9fJcrX/w1Xli4EQcBn+hz0jIx5cPEsP/t0ICr4/eKbRAoPEwt9ek2phW05Ey7+/oTFI4/nKET8wWPqCD3XwleBqkQtWemwayh8aw57RkH825VB0JXqMrXOVNa3XU9ESgQ++3349MSnJKS/qgcmNTLEactmzIcMITMqigCf3gRN/JTstLR8RhYRycnX5e25Ua8KVjoyuvs94njU28XUya0MsJ7gjV4lc+KPBRK55jZZcWno6urSu3dv6taty7Fjx1i/fj2pqf89s6VEokvFCtPRMUnh+dODJMXmjBV2q2WDkbkuF/c+AcCkfTsygoMpZyQhMa3klzES3TX/QZsuXA+jE/J01yypXLlyhWnTphXrgu0FTWZmJtWrV+fo0aPY2tpqWxyRPChp7pp5EbXpLim3VItmHScTdByNMKprj8wyf++A0kJ2Vha///QdT6+rypV4t+tM4wEfI5GU/IxopYnsrGxunQxW19Kr2tiBRr0r5OoF8sGjVMKdPXDvANxWJTyjXBNoPh0cvN9qiOSMZH7z+42t97YC0LNCT0ZUG4G53iuXWWVGBoEfDyX577+R2dpiN3MGRo0bF/TdiJRyEjKzGHY7gFMxCUwvb8/IMlZv/b1OuRdNzM4HAJi2dsbA2xpBKuHBgwfs2rULU1NTfHx8sLCw+E8yKpXZXLzYlvCHERimfkzLT8bm6HP/UhjH1vrT7TNvrK0EHnxUlz2j5rAiRErAnPwz22uLt3XXFJW8fxCVPBGRD4PSouQBZEamEDbvtZqMUgFFh3LoOJmQlZBOemACOvZG6JQxQmIgR5CVLgeOoHt32Db9SwCkcjk+0+dg51ZRy1KJvE56aiY751whJiwZhY0BfabXQSIRFb08SQiHE7Pg2nrVa1sP6LAAHGqoErq8gcD4QH6+8jPHn6vixxs4NGBRs0XIJK9iqOIPHiT48y8gKwv96tWx+3YmugUYEyVS+knJyubrh0FsCo2moZkR6z3KYfCWseJZ8WlErrtDRkgScjtDLAZVQabQJSwsjO3bt5OUlETfvn1xcnq3xESvExS8mfv3/8fdrW70m7kaMzsHjXZltpJts/5Gz0hOl0+r86RrNzZVaMFqwUlU8koaopInIvJhU5qUPFAFtaNUkvoolpjt98lOzt/FRGKsgyABJAK2n9dCKAULbWV2NlcP7uXUxtUAWLuUp9/s+aJVrxjidyyQczsfIZVL6DTeC3s3hbZFKt5kpMKZeXD6p1fnPHrBRyNVCt8beBL3hIGHBhKXFoe+TJ8va31J9wrd1e3K9HSiN28mcuEispOTMWnXFtvp05GKGaJF3oFNIVFMexiEq4Eeq6s646SfM5QnL9IC4ojafI/s5AzMurphWMOGpKQktmzZQlBQEF5eXrRr1+69w2AyMxM4e64hCWHpENKHjp/+L0efh1fCObLqDt2/qIFy4wJ+vxfDXKeWPPi+LTrFcGNUVPLyQFTyREQ+bEqbkvc62elZpD2IAamA3NaQ7ORM0h7FkBGRQvqzeFCqLID/Rmatj0E1a4wbOSCU4AKwyfFxLB3eT/26+5SZOHu9eSEsUrQ8uBzGCd97ZKZnY+1kTNMBlbB0zFnuRuRfpCXCX9/C5eWvzsn0VCUYag0Dg/wzmF4Nv8r089N5Fv8Mb2tvptebTjnTcur2rPh4otauJWrpMpBKcfh5HiZt2hTW3YiUQq7FJTHg1lMylUrWVHWmvpnxW1+bGZtK7L4npPpHYVjXDtM2zmRL4dSpU5w7dw4bGxt69uyJufn7ZeqNjDrJjRvDCbtqTsO2KyhbtZpGe3a2ku2zLqNrIKd59VjW/7CGn2v04crXLbA0enuFtagQlbw8EJU8EZEPm9Ku5L0Nyows4o8/J/F8CMq0V5n8JMY62H5eE4lOyVX0AO5fOMP+BXMBqNSgCe3GfaZliUReJz0lE79jgfx9IAAACwcjukyqjp5hyc9oV+ikJcCNrXDyB0iOUp1zaQSVOqkUvjzcOZVKJZvubmLu36rvRnXr6kyuOZlqVq8WvOlBQTzr15/McFWafJff96Dn7l649yNSaohIz2DIradciU/mF/cy9LF7+5g6pVJJ0sVQ4g4HINGXYTnMA7mlPiEhIezcuZPExES6deuG+3t+Hv3vTiE4cA+hJ5ox4IfFOeIHn/hFcGjZLTqOrsLpCaP4us5QznzRlDLmBu81X2EiKnl5UJyVPJlSSRVRyRMRKVREJS8n2elZhHxzXuOc1QhPdF1KrstWWnIy26Z/QURgAEbmFrQdM5myVT21LZbIa6QkpHNu1yPuXwwDoEpDe2p1cMHQtPjtnhdLIh7An1Pg0bF/Tgjg2hyq94dKnSGXOpKJ6Yks9lvM9vvbSc9Op7FjY6bWmYq9kaoYtTIri8AhH5N8+TIAFsOHYTVhAoLsAy5sL/LWZGQr+fz+c7aGRdPDxoyFlcrmWzj9dTIjU4hce5vslEwUncpj4GVNSkoKmzZtIigoiI4dO1Kjxrt7aCQlPeHipZY8O25Hgw5zqPBRA412pVLJ1u8uo7A2IPPkb4xz7sS+sfXxdFS881yFjajk5YGo5ImIfNiISl7uKDOySLoSTvzxQLITMgCwGlUNXae8HyDFncyMDC7s2MTlvapMhSZW1vSbNR8DU4V2BRPJQVRwIud3PSLQPxoAh4pmdBxbDam8+MXDFEsy0+HCb/DoL3h29tV5x9pQoRXUGAKGlhqXpGWlsffRXn78+0fSslSlFJa2WEoDB9XiNysxkRc//0zstu0gkWA1ZjQWI0eKmVFF3ohSqWR1cCRfPwymmrE+O71cMZa9vYdIdnIGMXsfk3IjAoPq1pi2dwF9KQcOHODatWvUrl2bNm3aIMllEyM/rl7rS0TAU4JPVmXw/KVIX9u4uH0qiNNbH+BsdJXR0srsGlWXGk7v5yJamIhKXh6ISp6IyIeNqOS9mdQHMUSuuQ0yCQ7T6yKU8IV2Ykw0Z7es584pVe3Oaq3a03TQMKQy0TWwuBEXkcK+X68TH6mqk9Xjq5rYOJfcjQatoFSC/164fwhubn113rUlNJgIzpoWjJjUGPof7E9gQiAA3tbeTK0zlYrmqiy1CX/9RfDET1FmZKBXzRPbr79G38OjqO5GpARzIiqeAbee4G6ozy6v8pjK394arFQqiTscQOKpICRGchQdymHgZc2FCxf4888/qVSpEl26dMm1XnNehIXt447/pzzY7Uz9rl/g2by1RntGWhbrp5zDRDeUL5RGLPKpRsfqjm89flEhKnl5ICp5IiIfNqKS92aUWUpCZ18iOykDk5ZOmDQvq22RCoRHf1/k0p5thD1W1Wzzat2BpoOHi1k4iyFPb0RwfvdjYsOT8W7tRJ3O5cSSC+9L5EM4+wv4bVK9lsih4STw9AGL8upu6VnpzL86n90Pd5OSmUJLp5aMqz4OF1MXAOL27iX0m+ko09IwqFMH2/99ja6rqzbuSKQEcTk2kaF3ApALAhs8XKhq/G4xbhmRKcQdeELq3Wj0q1lh3qsiDx49YMeOHVhbW9O3b1+MjN4ucZNSmcW5842IeSIh9KIrQ35ZhlxHU0k8teU+/n8HM1cnhf9FnaNXn5bouVdEbm//TnIXJm+r5JXs7VmR/8S6deto0aLFe107e/Zsxo7NWVSyOOPs7MzZs2ff3LGYM27cODZt2qRtMYqU1atX89lnYvKMokKQCth9XUfbYhQ4rrU+ot/sX+j21QxMrGzw+3M/v/TpzLVD+/jA9juLPS7VrOg5pSYWDoZc+/MZS0ef4PH1F9oWq2Ri6QZdlsD/IqHjr5CdAafmwiJvWNsObu2ErEx0pDp8Vfsrjvc8TnXr6hx9dpROv3fi2wvfEpsai2nnzlQ4fw6Tjh1JvnSJJx06ErV6DcrsbG3foUgxprbCiD3VXTGTS2lz9QFnYxLe6Xq5pT4WAytj1qMCKTcjCPvxMk5SawYNGkR8fDyLFi3iwoULb/UbLghSHB0HYugYSUpSOH5/HsjRx62mNVnJqrEColIIGj2auH1/vJPMxQVRySsGvO3SomLFinh7exeqLLkREBCA7DW/5alTp/Lbb78V6DyTJk3CwsICKysrJk2alGe/M2fOYGRkhJGREQYGBkgkEvXrKlWqFKhM/5WCVixDQ0M5ePAgvXv31ji/efNmBEFg3759GufXrVuHTCbDyMgIExMT6tSp887yZGdnM3HiRBQKBTY2Nvzyyy9vvCYzMxMPDw9cX9vlTUhIYNiwYZibm6NQKBg4cKC6bfr06ZQpUwYTExPc3NxYs2aNum3AgAHs2LGDiIiId5Jd5P0RBAFBLiH+6DNiDz4pVUqQS/WaDP9tNS2GjQHgxLoVrBo3jOS4WO0KJqKBjp6M3v+rQ9uRHhia6nB4+W32LrhOxr8ywoq8A1I51BgMM+Lgs4fQ8juIuA+7hsJ3FrCxG9zYipHckA1tN3CuzzmGVB3Cjgc7aLitIZ+d+oxYaRoOP/2I25nT6FaqxIuffuJB3XrE7t6DMkv8fxHJHVcDPX6v7kZTcxN6+j1m+fN327ARBAHDmjZYfeKJ1FSXyFW3kW8PZ1Dt7pRzduHPP/9k586dZL3FZ9DerjugpFIbSy7v3UlGeppGu115BbJ/SgnZjx+D66lTKHx6vZO8xQVRyStW5L2Iunz5MiEhIdy+fZu7d+8WoUxFw7Fjx9i6dSt37tzh2bNndO7cOc++DRs2JDExkcTERI4fP07ZsmXVr+/cuVOEUv93MjPzL1z9Ohs3bqRz585IpZruZb6+vpiZmeHr65vjmiZNmpCYmEh0dDTNmjWjR48e77RgX7ZsGSdPnuTBgwecPXuWefPm8ddff+V7zW+//YZpLsV0P/74Y0xNTQkICCAiIoJPP/1U3da/f3/u3btHfHw8Bw4cYNq0ady6dQsAHR0d2rVrl+v9iRQehrVsAUg8HUzwlLNkxadrWaKCpVrLtkzetp82oz8lOT6WpZ/0Z8XoITy/c1Pboon8i3JeVgycXQ/vNk4E3Yth5cTg6b7pAAB040lEQVRTnNn2gJTE0vV5LFKMrKH+ePj8EfhsgvLN4PFfsGcELPCEyysxkRkyqcYkDnY7SPOyzfkz4E8ab2vM3MtzUZorKLdnN2VWrkCmUBA6dSr3a9ZSWfbSxf8XkZwYy6SsqOJMZ2sF0x+FMOjWE6LS320NpOtiitWoapj3rojURIe0Q0E0CipPm9rNuHPnDps3byY1NTXfMXR0LLGyaoWBQyCpCXHcOXFMo12QCGRlZGOYDemZSuQ21sjMzN75fosDopJXQvD19aVz5860bNmSjRs3arQJgsDSpUtxcXHB0tKSH374Qd126dIlatWqhYmJCU5OTixatCjX8T/55BNmzJihfq1UKnFxceH8+fO0atWKrKwstbUsMDCQGTNmMGzYMHX/48ePU7NmTbUV5syZMwDMmjULOzs7TExM8PDwwN/fP9f5JRIJhoaGWFtbY2BgQOPGjd/rfbp16xaNGjXCzMyMGjVqcOXKlVz7ZWVlMX36dJycnLCxsWHy5MlqhWvGjBn07duX7t27Y2RkRP369QkLC2PkyJGYmpri7e3NkydP3jjnsGHDCAwMpFWrVhgZGbFp0ybWrVtH06ZNGTFiBKampvzwww+YmJiQlJSkHm/t2rW0atUqV7kPHz5Mw4YNNc69ePGCo0ePsnjxYv744w/i4+NzvVYmkzFgwADCw8OJiop66/d048aNfPbZZ1hbW+Pm5sbw4cPZsGFDnv3Dw8NZsWIFU6ZM0Tjv7+/P1atX+fHHHzExMUEul1O9enV1u5ubG4aGqpjUl9nbnj59qm5v1KgRhw8ffmu5Rf47ik7lsZv2ym0zdPYlQudezlFMvaRTpXFz+n43DyvnciRERbD926n87NOB+xdKvnt3aUEilVC3S3m6fuaNvokON08EseazsxxecZvIoHdz/xL5F4IAlTrAgD0wPRbaz4f4IDj4GXxrDoe+pEzUMxY0/pmDXQ/iYOSA711fvH29GXd8HA8qGFL+z8M4LluKXsWKvPjpJ+55ViNq9WrRjVMkB/pSCUsrOzGvYhkuxibR5O977+y+KQgCBl7WWA33xGZSDaQmOjieFmhl/xHPnz9nw4YNJCcn5zuGo0Nf0jKeU76BNTf/Opxj47tmO2dkSoHE5JK9YSEqeSWAzMxMtm3bho+PD71792bz5s05PpDHjx/n1q1bnDx5kpkzZ/L48WMA5HI5y5cvJzY2ll27dvH1119z/fr1HHP079+fLVu2qF9fuHABgHr16nHkyBGkUqnaWla2rGYShidPntClSxdmzJhBTEwMf/31F3Z2dty7d49ly5Zx/fp14uLi2LFjB+bmuaeidXNzIyQkhIkTJ773+5SYmEibNm2YMGECkZGR/O9//6Nbt2657urMnz+fM2fOcOXKFe7fv8+1a9dYtmyZun3v3r1MnDiR6OhoDA0NqVu3Ls2aNSMqKorq1aszc+bMN865atUqypYty5EjR0hMTKRfv36Ayt20bt26xMTE8Nlnn1GzZk0NN8stW7bQt2/fXO/x1q1buLm5aZzbunUrnp6e9OnTBwcHB3bu3Jnrtenp6axfvx4HBwcsLS05e/YsCoUiz+Ml/v7+eHq+qi/m4eGRr8X0yy+/ZOrUqWqF7SV///03bm5uDBo0CAsLCz766CPOn9eszTZnzhwMDQ2pUKECDg4OGjGj7u7u3LwpWliKGqmxDo5zGqLopErQkBWTRszvj7QsVcFj5eTCwLkLGbN6K16t2wOwf8EcLu3ZrmXJRP6NvauCIXMb0HF8NRwqKHh87QXbvv+bHT/8TVRIorbFK9kIAtQaCt9EQ+clUGs4+O+Dde1hnhtlTszlsMenLGj0E9Wtq3Py+UkGHR6E1wYvTpVNxHnrFpw2+aJfvTovfprHvcpVCJ40mYxwMZZS5BWCINDf3oKDNdxIyMzC58ZjFj0Lf6+x5FYGWA33xKy7G87hCjqkeRMVGcWqVauIjo7O8zqFog6GhhWw8Uom4tlTgu9qrmncatqgA7yIyF9ZLO6ISl4+ZKekkHLnTqEe2Slv3hE/cuQI6enptG7dmi5duhAeHq62lL3kq6++wsjIiKpVq+Lp6al2c/P29sbb2xuJRELNmjVp164d586dyzFHw4YNSUtL49q1a4BK0ejTp89bvU9btmyhY8eOdOjQAalUStmyZXF1dUUmk5GWlsbdu3fJysrC3d0dW1vbHNdnZGTQrl07NmzYwM2bN5k2bZq6zdTUlBcv3u4BsX//fqpUqUL37t2RSqV06dIFa2trLl68mKPv6tWr+f7777GyskKhUDB58mQN5ah58+Y0bNgQHR0dunbtirGxMb169UImk9GjRw9u3LjxznO+pHz58gwePBiJRIK+vr6Ggh0eHs758+fp1q1brtfGxsbmyCLl6+uLj48PAD4+PjlcGk+dOoVCocDBwYFLly6xZ88eABo0aEBsbGyex0sSExM1sjeZmJiQmJj7YurChQs8fPhQrdD+m+DgYI4cOULTpk0JCwtj4sSJdOrUSWOur776isTERC5evEj37t3R0dFRtxkbGxMXF5frvCKFj1E9exznNASpQNqjWG2LU2joGRnR/ONRjFu3HRMrG85u3cCO76YRHyEuVIsTZStb0GWSN/2/+whHdzNePEtg67eX2TT9IqGPxd+J/4QgQPV+0H4efHoHhh2H6gMg8AJs7kXzLcPYkCjlivc3jPccSZYyiylnptDp9078bZ2I85bNOCz8FYPatYk/eJBHjRvzoH4DXsybR/YbLCwiHw7lDfR40NCDWiaGzHoSymj/Z2Rmv3vstyARMKxli82n3ljpmtE5oQbZqZmsW7eO8PDclUdBEHCw701Kph/mZS24flgzsYqZnQEyJSSU8BCFty9Y8QGS9uQJAd17FOoczrt2gt0/lrE8Ptu+vr506dIFHR0djdikRo0aqfvY2Nio/zYwMFAvwu/cucPEiRPx8/MjPT2d1NRU3N3dc8whCAJ9+/Zly5YtVKtWjR07dnDs2LEc/XIjKCgIFxeXHOddXV35+eefmTp1Kg8ePKBr167Mnz8/R7rX48ePk5GRQffu3WnRogWNGzdGX1+frl27UrZsWaytrd9KjsDAQLVC85KMjAxCQkJy7du2bVu1W6BSqcTBwUHd/u859fX1c7x++f6+y5wvcXTUrLnSo0cPPv30U2JiYtixYwdt2rTJMyWuqamphoL14MEDrly5wvbtKmtD7969mTNnDkFBQep5Gjdu/Nb/l7lhZGSk4QIaHx+fa7ri7Oxsxo8fz5IlS3Itlquvr4+zszNDhw5Vyzpr1iwuXbpE69avatUIgkCdOnXw9fVlxYoVjB49GlAlbcktzk+kaDFpWob4Y4EoM7IQ5KW39ICOvgEfL1jOgYU/8vDSeVaO/Rhr5/LU6NCFyg2bals8kX8wtTKg88TqpKVkcvmPJ9w9H8run67i6G6Gd2snHN3NxOLd/wWJBBxrqI4WM1SJWu7+AXf3obtrGMOBj93acNDMgp/ibjL2+FgUugrmNJxD/Q3ryQgLI3zuXFJu3CBq1WqiVq1G0dsHyxEjkNvZafvuRLSMjkTC795urA6KYPqjYEJS09ngWQ6Tdyic/hKpkQ62X9RC9/dHtLkicNT0NitXrqR37945ksAB2Ni05+Gj2bi3Muf86vPER77AxFK11hMEAX19OUlJopJXatEtV06lhBXyHKTkHXiamJjI3r17kUqlHDp0CICkpCTkcjmLFi16YxHIsWPH0rBhQ/bt24e+vj59+vTJM+lG//79adOmDS1atMDGxoaqVasCvPEBWaZMmTxj7QYMGMCAAQOIjIykd+/ezJ8/XyP2D1RKkUSiMiqbmppy+PBh6tevz4YNG3LEdeWHg4MDrVu3zpFhMq++27Zt+8/ZSt80Z27v3evnTExMaN26Nbt27WLLli35lgrw8PDg4cOH6v+bl1a7jz76SN0nOzubzZs388UXX+Qr+5kzZ2jbtm2e7S+VycqVK3Pr1i21y+bt27dzzWIaHx/PtWvX6NixI6ByD42Pj8fW1pYHDx5QtWrVHPee32crMzOTR49euQXev38fD7EAr9aRGKusq6mPYtGvZKFlaQoXqUxGp0lTiXsRxt/7dnPj6EEO/fYzpzaupvNn07CvUEnbIor8g66+jIa9KlC3S3ku7XuC37HnBN2LAaBGWyc+6lz+DSOIvBFBAGt31dH4cwjxg6enkF5ZQ8eHAbQH9pnb8D/TWEYeG0k503L0qtiLnvPmoiPVIfXuXSIWLiJ26zZid+zEvH8/LMeNQ/qWNc5ESi9DHa2wkMsY6f+MPjces96jHJY6766iCDIJ5j0qoOtsQoddMk6Y3WfTpk306tWLSpU0f691dCyxtm5LfNxNZHJT7p07Te3Orww7erpSQsSYvNKLRF8f/SpVCvWQ6OvDP+vc3Ja7u3fvxszMjPv37+Pn54efnx/37t1DJpNx4EDO+h6vk5CQgEKhQE9PjzP/b+++w6Mo1wYO/2Z7Npvd9EoSAoTepXcBQSkKIk1AEFFBwaOgHmwHzhEV/RAriiIKgoAIAoqIIkqTIl16CyEhvSebZPt8fywshCQ0gYTw3he52J15Z+aZzSSZZ962efNlt6lfvz6BgYFMmjSpRJ+wwMBAXC4XZ8+eLXO7oUOH8uOPP7JmzRpcLheJiYmcOnWKY8eOsWHDBmw2G3q9Hq1WW2pUSID27duTlZXF22+/jdVqRaVS0bZtW06cOIFef/WTZvbp04e9e/eycuVKHA4HxcXFrF27tswmfqNHj+bVV18lJSUFWZaJj49n48aNV32sqz1mcHAw8fHxV9zP8OHDee+99zhy5Ai9evUqt9y9995bYgqEb775hhkzZniujX379vHGG29c1SiUF49SWtbXxbHNmDGDjIwMTp48yZw5c0pMfXCeyWQiKSnJE8cXX3xBZGQk+/btw8fHhy5duiDLMvPnz8fpdLJs2TJSUlJo3do9sMecOXPIzc3F5XLxxx9/8M0339C1a1fP/jdt2lSixk+oGPpGgQBkzT+My3ZnDJluCg6l+5inmLj4B1reP4CivFwWv/YCK/9vGnnp19eXRLg5VBol7R+K5cmPOtNxcCzRjQLY/fMZZo39nV1r4nFdR3MwoRzhTaH9v+Bf+2HiERTtJtBPFcDu0wmMyMsnLi+O6X9N566Fd/H0+qfZok8ifNZH1Fr/G9o6tcme/zXHW7Qk/d13cYkROe94/UL8+L5pLQ4UFNNq+2F+zsi97n15twglZEgDuufVJ0Ttz7fffsuxY8dKlYsIH0KxJZ5anYM5tOG3EpUgVgWorS4ct/HfOZHkVXILFy5kzJgxhIWFERoaSmhoKBEREYwePfqqbuTffvttZs2ahdFo5P333+f++++/bPnhw4dz+PDhEv3xvL29mTx5Mk2bNsXX15eEhIQS28TExLB8+XJeeeUVTCYT3bp1IyUlBavVygsvvEBAQABRUVGYTKYSQ+af5+fnxy+//MLatWsJDg6mUaNGhIaGsnbtWp544gl27tx5VZ+VyWTip59+4qOPPiI4OJjq1avz+eefl1n2hRdeoG3btrRv3x6TyUTfvn1JTEy8quNcyzH//e9/M3nyZHx9fVm0aFG5+7nvvvtIS0ujf//+l62dHTFiBCtXrsTpdLJ161bS09N5/PHHPddGaGgo48aN4+TJkzdskJJx48bRuXNnYmNjadeuHRMnTqRbt26Au7nq+RFXJUkqEYe/vz9KpZLQ0FAkSUKtVrNq1SrP9ApvvfUWK1eu9DR1Xb16NTVr1sRkMjF+/HhmzJhBnz59AHdt708//cSIESNuyDkJ10+hV6NvGgSAy2yv4GhuLUmhoNOwR5kwbykNunTn1K7tfDHhMZb+72VSTpa+gRAqjkqtpPHdkfR5ugmdh9bGJ0DHjh/imDtpsxig5WYwhkOPafDUNjT/+psX6z7C3yl5LEhOpae5kE1nN/HchudouqApg3aNxzJnGjV+Wo2hc2ey5nzBscZNSBjzOMW32TRIwo3Vzs/AxlZ1aeqj59GD8cyMT73uOVr1TYIJHtWIXtZmBCv9+Pbbb0u1OvP1bY2PTwMC6uaSnXyWs0cOetZF++txADmpt28/UkmuSjPcXoX8/HxMJhN5eXkl+j1ZLBZOnz5NTEwMOp3ulsZ0PKeAYqUStctFfd+KbbawbNkyPvjgg1IDuwg3X8OGDfnggw88CVR5xo8fT7t27codgbMqmjt3LkeOHGHGjBn/eF8V+bNeVVhO5JA51/3HMOTZ5qhDva+wRdWUnZzEb1/M8syrF9WwCV0eGUNQdOk+ykLFkmWZU3syWP/1ERxWJ94mDT3GNCA89vac/+q2IMtwdifsX4IzcQfb8k/yua+Rved+77byrc0zrV+idoaWrLlfUnBuihylnx+mfv0w9XsAXZ06FXkGQgVxyTJvn07lgzNp9Ao0MbtBNBrF9dVL2ZLMZMw/wHrH35yWUxk4cCD169f3rD+TMIe4uJnErWpOtTqt6Tn2GQCe/WYPO/amsnhkK6qfa8FSWZSXy1xKJHnniCQPrFYrvXr1YsSIEYwaNarC4rgTrVu3jieffJKTJ096+icKN4dI8v452SWTtzYe86azaGKMBD/ZpKJDqlCWQjMbvv6CQxvcAxypdV406NyVxt3vIyiqesUGJ5TgsDk5tCWZ7avicFidBEX50GFQLOG1fCs6tKrPnA6n/sB8Yi1P5O7gwEUDN43El0eUMTiPhGM9dYbiffs867w7dyJs6lQxUMsdaG1GHk8ciidIo2JFs1pEeV1+HIryOLItpH62lw22vzkpp9C3b1/uuusuAOz2PLb82RYpvw0Hvjczbs43qNRqpv14mGWb4vmyewOa94y+kaf1j4kkrxwiySvbvn37aN++PZ06deKHH35ArVZXSBx3osGDB/Pbb78xf/58T/NE4eYRSd6NkzL9L5y5VgDC/9MGhf7O/r1RbC7g2NbN/LnkayyF7iaBWr03rfoNpNl9fVFrru8GRbjxHHYnaz49QOJh91xaSrWCu+6NpnHXSLReYky6m87lwpa0k8mbX2KTLQPrRYMSPJWTyyifuzDHBZO5/EKrIk10NMa+ffEfMRylGGn5jrEzr5AnDsXjlGXeqR3JvUHX9713FtpJn72PTYV/c8SVyIABAzyDuR06NIns7F389bGB+59/ldiWbfls4yneXXOUea3q0G5A6dE5K5JI8sohkjxBuLOJJO/GsZ0tIP3jfZ731aZ3rLhgKplicwGHNvzGxgVzPcuComOo275ziRHchIplszjYuy6Bw1uSKcpzD/5hCvYirJYvTbtF4h/uLaZguAUyizP58M+prEi6MADafeZCRuYVEJsjk5NWh+ydOe4moICuSWNC//MfvMoY6VmoelKtdkYfPM2e/CKejgrmlRphKK7j59KRYyHts31ssP3NCVcygwYNon79+mTnbGPv3uFk7WqNRqpPvxdeZcG2eKauOsTM0HAeeLbZTTir6yeSvHKIJE8Q7mwiybvxUmfuwpFeTMCjDfCq41/R4VQ6J3Zu49CG9ZzatR0ApVpNp2Gjqdu+E3qjqJGoLDISCji9P4MjW1Mw51g9yzsNqU3DThFICpHs3Qr70vcx79A81iesB8BXlnigoJARuTmYMiWyjvmSH++eykXpa8R4/wMEPDYGdcjVzakr3J6cssy78anMjE+js58P8xrF4KW89u4tjqxislacYO2ZLZxWpjNy5EiqV6/Otu3dsef5sX+xxPgvl/DdniT+vfwAz+fqaNe/VqVqsimSvHJUxiTvWE4BFpHkCcItIZK8G89V7CD5v9sAiHizg7gZLocsy+z4/lsOblhXYuqFNgOG0ObBwShVd3Zz18rEWmRn/+9nObUnnezkQgBimgTS7J4oQmqYUIhr/KazOq3MOziP3xJ+42j2UQDqqf2IdcoMjz9J0AEF2ce8cVrdffu04Ub8Bg/Ed9QEpCvMISzcvhYmZ/HaibP4q1W8VjOcfiHXPniSLMtk/xLHsj9Xk6Mt4rEnx1BQ8A2n42ex/4tYBkx+k92OQCYu3c+qvk2JiDYRWK3y3J+LJK8cIskThDubSPJujuRp23GZ7YS+0AJVgFdFh1OpyS4X6fFxnDmwj82L5nmWB0ZVp2mPXjS8uwdKlegXVhnIsszJ3ensWhPvSfYAfEP01G4VQrN7olBpSs//KtxYOZYcVset5ttj33Im/wwA3io9PXzrcl+mncjl+yk47vKU1wYp8evRGt/Bw5FqdQYxoFmVcqCgiAlHEjhaaGFMtUCm1oxAdY0PXmRZJm31Ub7duRqXt4JHxtzNvv0DydjZCJOhE4ouD/Pkgt3serU7gYbK9dBAJHnlEEmeINzZRJJ3c1jj8sj43D2VQPjUtih0Ikm5GrIsk3joAJu++ZLCvFzMWZkA+IVXo+ZdrajZojXV6op+R5WBw+Yk/kAWiUezidubgeXcPJE6bzUt+8QQ1cAf32B9BUdZ9RU7ivn59M+sjlvNzlT3PLpKSUmPyK7cfSiDOr9ux5WqwZ7vTvoMkQ58msfg3Xs46jYPgUZ8j6oCpywzOzGD6XEp1NBrWdKkBmFazTXtQ5ZlTn+7h8VH1lCnZi0Col6H/BYcXe2i0QvvMXzuX2x+8W4i/SvXNSOSvHKIJE8Q7mwiybs5ZIeLpP/8Cecepnu3CcN0b3WR7F2j5ONH+Xv9Wk7t2oHFXACA1tubOm06EhxTk+pNmmEMChGDgVQC6Wfy2fPLGU7tySixPLK+PxG1fYlqEEBQpE8FRXdnsDvt7MvYx5akLexM3cmBzAMAtAlrQz9rHRp+v42ibRcmwJaULnyb+OI/9EE0d/WAsKYgfpZuazvzCnn0wGkKnU7erRvFg9fYfFN2utjw4Q9szNtHj+4J2B1H2fWpH40nvsPjK+L5/ql2NI+qXPNpiiSvHFUxyatevToLFy6kQ4cONyG6qicpKYnevXuzZ8+eO2ZOupycHNq3b8+ePXvu+MRGJHk3V86qkxRuS7mwQAJtjInAxxoiXUcn+TuZw25n14/fc3zHn2TEx5VYF9WwCe0HjyC8dt0Kik64WEG2hVN70jm9P5PCXCt5GcUAqHVKgqN9qNM6jFotglGLpp031Zn8M0zbPo196fuwOC0oJAXBmgDuscfSbV8hQWfSKDx4FnAnfIYwKz7Nq2McPwMp8i6R8N2mzlpsTDhyhp15hbweW41HI65t8nJ7ZhFfffgFqrBjRNdZy5EltanTZzyPb4VPhjWnV6PKNUfj1SZ54i/ubaB69ero9XoMBgMBAQEMGjSInJycCosnOzub3r17YzQaiY6O5ptvvrls+Xnz5iFJEp999plnWWpqaoU9iZ4+fTrjxo0rleDVqVOH5s2blyp/8ecfFhbGv/71LxwOxzUdc+fOnTRu3Bi9Xk/nzp05c+ZMuWV79+5NcHAwJpOJ1q1bs23bNs+67OxsBg4ciL+/PyEhIUyYMAGn0+lZP2/ePKpVq4bRaOTRRx/FZnMPCe7n50ePHj2YM2fONcUtCNfK74FahP+3Hb79aqKr6w+yuyln0it/Unwws6LDu62o1GraPDiYR97+kGe/Wcmj782m+5iniKhbn4SD+1n82vPMm/QUf8yfQ156akWHe0fz8dfRtHsU/Sc1Z/jrbRkzsyPdH61PVH1/ko7l8vvXR/j8mY0se3sXf/+RiNPpuvJOhWsWbYxmTo857By+k1UPrGJQ7UFE+EaxwLWVUY3381D/POa82Y6sgZ1QRYdScNaL5B/SONpjBMn3Vaf4ja6wYTqc3QV2S0WfjnCVquk0LGtaixHhgbx0/CwvHT9Lrv3q79PUgXo6d+5EUqZ7tOPw5mBNOgWAxe683KaVmqjJO6cy1ORpXC7qlVGTd3FNXWFhIcOGDaNGjRrMnDmz1Ppb4dVXX2X37t2sWLGCvLw8kpKSykyOzps3bx4TJ07EaDRy4sQJ1Go1qamphIWFcasvP6vVSrVq1Th27Bj+/heGev/rr7/o1q0bVquV/fv3U69ePc+6iz/fEydO0KlTJ/7zn/8wbty4qz5mrVq1mDJlCsOHD+f1119n06ZNbN68uczyhw4dok6dOqhUKn744QfGjBlDWloakiQxYcIE4uLiWLp0KUVFRXTv3p2nnnqKJ598kgMHDtCpUyd+/fVXateuzYABA2jbti2vv/46ADt27OCJJ55g//79/+ATvP2JmrxbS5ZlsuYdwnLswoMpSaNE4aNG3ygIlb8OSatAFaRHHSbmJLtaDpuNP5cuZP+va7BbL9yMths4jJYPPIRKLUbqrCxkWSYz0cy+3xI4cygLa6EDlUaBw+YitkUw7QbUwuAnfhfdTC7ZxdrTa/ny4JckFCRQ7HDXtMb61uK+rDDa/nQc5aEkABQqFz6RxQTULURbvRrEdHLf9cfeA6ZqFXkawhXIsswHZ9KYGZ9GuE7NqmaxhGiv7nehy+Xis7c/JqrBQjT4kPxnA95Q3ccrvesxsl31mxv4NbramjzRWeI24+3tzf333893331X5nqLxcKkSZNYvnw5Go2GMWPG8Oqrr6JQKHA4HDz77LMsXryYoKAgHn30UebMmcPJkycpLi5m9OjR/PLLLwA0aNCg3CREoVAQFhaGTqdDp9MREhJyxbibN2+O3W7nq6++4oknnii1Pjs7m/Hjx/Pbb79hMBiYMmUKI0eO5MSJE3Tu3Jnk5GQAevTogcPh4PfffwcgPDycjRs34uvryyOPPMK2bdtQqVTcc889LF68uNRxduzYQXh4eIkED2DhwoU88MAD5OTksGDBAt58880yzyM2NpaOHTty6NChK57zeRs2bECr1TJmzBgAXnnlFd577z1PonGpBucmd5VlGaVSSUZGhucHOj4+nn79+uHt7Y23tzc9e/bk8GF3f4NFixYxYMAAWrZsCbiT8ZEjR3qSvBYtWnDy5ElSUlIIC6tcTQ+EqkuSJAIfbYg9rRDz9hTsSWZkl4z9rJmCDYmlyiu8VShNWky9YtDGmEQTz3KoNBo6Dx9Np2GPkpuazPHtf3J40+9s/e4btn73DRF16xNaqw4hNWpRu3U7MT1DBZIkiaAoH+4Z7f7dnnQshz2/JpBwKIsTu9I5sSvdU7Z5zygadIrAKEaovaEUkoJeNXrRq0YvAE7mnOS3hN/YdHYT87z28+H9+WjvVTLkTDgtDlhwHcsg77Q3Sp0dQ9gPBNT7Bq3xXI2OQgUNB0C1llC9AwTWEaN3VhKSJPFs9VBamQwM2n+SplsPMat+9FX101MoFHTo0IG/TmygeuRRcpJ80NZSYHXcvjV5IsmrFK7+yXV+fj4rV66kdevWZa5//fXXOXToEEeOHKGgoIDu3bsTFRXFqFGj+PTTT/nzzz85cuQITqeTXr16ebabP38+hYWFJCUloVarSzQRvFSTJk1444036NWrFw899NBVxz5lyhRGjx7No48+WmrdiBEjqFevHomJiZw+fZquXbvSrFkzGjdujMvl4tSpU1SvXp2jR4/icrmw2+0kJCTgcrmIjY1l8uTJxMTE8OOPP+J0Otm9e3eZMRw4cIDY2NgSyxwOB99++y1ffPEFubm5vPbaa7zxxhtl1igcO3aMzZs3exKnPn36sGXLljKPNXnyZCZPnszhw4dp3LixZ7ler6dmzZocOnSozCTv/H7XrVuHzWZj7NixmEzuJgRPPvkkn3/+OUOGDMFsNvPzzz/z1ltvAXD48GG6devm2UejRo1ISEjAbDZjMBhQKpXUqlWLv//+WyR5wi2nDvHG74Fanvey3YXsdOEqtOPItVK0Jx2cLor2ZeAqdJD5xUHAXeunqW4kcFQDMf9eGSRJwi8sgtb9B9G6/yDi/97Lwd9/JTspkd2rVwCwBgitGYssy8Q0vYsGnbvjGyp+B1SUiDp+RNRx33QW5lk5tSedo9tSyUgoYM8vCez5JQGAsFomqjcKpEbTIHxDKtfofre7Wn61qOVXi7FNxuJ0Odmesp11Z9axMXA382NT8LIo6XJAps1RF/VO68k7rQedCm8/M0EtVOj2f4v097cXdlijCwTWhuodIaYjeFWugTruNO38DBxo35D/nEziqcNnOGou5qUaYVdsKVK/XRO27IkA5X5U3oWoJLA7b98GjyLJuwy7zUluatFNPYZv6NX94r7vvvtQKpUUFBQQGxtbbt+qJUuW8MUXX+Dn54efnx+TJk1i8eLFjBo1iuXLl/Pcc88RHBwMwPjx4z0JglqtJisri7i4OBo0aEDHjh3L3P/Jkyd57rnn+OOPPxgxYgReXl707t2b3bt388gjj1y2hqtr165ERkYyb948+vbt61memprKhg0bWLlyJWq1mrp16/Lwww/z/fff07hxYzp27MimTZvIycnxJEt79uzhyJEjniaqarWalJQUEhMTiYmJoV27dmXGkJubi8FQsknsr7/+is1mo2fPnlitVp544gk2b95Mp06dSn3+/v7+jBo1itGjRwOwevXqcs/3PLPZXKo63Wg0Yjaby91m9erV2Gw2Vq9eTWHhhbmZmjZtSn5+Pn5+fjidTh577DH69OlT5nHOvz6f5AH4+PiQl5d3xZgF4WaT1AoktQKFToUqwAtdTV8A/IfUxZ5ZTNHuNGSHC/PmJKzHc0h62f0wRV3NQPDYJkgq8eS8LNUbN6N642YAOB0OEg/uJ/7vvSQdPURa3EnS4k6y/Xv3zWlE3QaExdah4d33EBARWZFh37G8TVoa3x1J47vdn39+VjFnDmSxaclxUk7mkXIyj20r3H2DfEP0RDXwJzTGhH+ENz7+OjRi9Np/TKlQ0j6iPe0j2gPuVjT7M/Yzu+Zs3kjZiZfFRfe/bLQ+5iA0U0fhjwDhqO5qQHDH+hhDspDi1kPcBvjr8ws7jm7vHr0zqo37tXdABZzdnctPreKDulFE67TMiE/leJGFj+pF46Mqf/AjpVJJrciuyPLPVIvVoiiUcYgkr2rKTS1i6Zs7b+oxBr3cEnyu/HT6559/pkOHDlitVqZMmULv3r3ZtWtXqXLJyclERUV53kdHR3uaOqamplKt2oX25Be/HjFiBGfOnKF///5YrVbGjh3LSy+9VGr/c+fOpVevXnTq1IkffviBnj17snDhQo4dO0bXrl2veB5Tpkzh8ccf59577/UsS0hIwGKxEBQU5FnmdDoZNmwYAB07dmTz5s3k5ubSoUMHJEli8+bNHDlyxJOMvvDCC7z22mt07twZvV7PCy+8wGOPPVbq+CaTqVRytXDhQvr164dGo0Gj0dCrVy8WLlxYIsk7//lfD4PBQH5+foll+fn5pZLNS2k0Gh588EEaN25M8+bNadCgAYMGDaJt27asXbuWvLw8Bg4cyIcffsgzzzxT6jjnX198nIKCAk+toCBUVupAL0w9qwNg7BaFeWsyLrMd89Zk7GfNJL36J14NAvAfVk/U7l2GUqWietO7qN70Ls+ynNRkTu7cTsaZ06SePMauH79n14/fo1JriGrclFot21C7dQe0elFzVBGMAV406lKNRl2qIcsy5hwrCYeySDmVx+n9mfz9+1n+5qynvFKlILSGkeBoIzWaBRFS3Sh+Jv4hSZJoGtyU2d1ne5Zlj8hmxYkVTN37KXcdKKbxaZnOuw+RvPsQyYA5Ogjf5r0JadYAg9cxFLtnQ9ohOPMnbJ91Yec1uoB3MPhVd7+u1hJU1za3m3D1FJLE8zGhVPfSMPn4WXrtPs73zWoRpCm/+Xrj9u3Ytt0P7zpJSLscOFy37yBJIsm7DN9QvTsJu8nHyCosvuryWq2WESNG8Pbbb5OZmUlgYMlhYsPDw0lISKBmzZqAO4EKDw8HIDQ0lKSkJE/Zs2cv/KHQaDT873//43//+x9Hjx6lS5cutG3bli5dupTYv91u94xK2aRJE5YuXUr//v0xGo2sXbv2ivF3796d8PBw5s+f71kWERGBwWAgJyenzKr0jh078uGHH5KXl8fEiRORJIl33nmHI0eO8NRTTwHuWqsPPviADz74gO3bt9O1a1fuvvtuatSoUWJfjRo1KlELajabWbVqFUqlkp9//hmAwsJC1Go1H330EVqt9rLnc99995Xbd/Hll1/m5Zdfpn79+nzyySee5cXFxZw6dcrT9+5K7Ha7p/z+/fv56quvPP0hBw0axLp163jmmWeoX78+Bw4c8Gx38OBBoqKiPEme0+nk1KlTNGrU6KqOKwiVgUKnwtjV/eDK1LcG5k1nyfs5nuJDWSS9vAV1hAG//rXQVBPzkV0Nv9BwWvZ90PO+KD+P3T+tJPHQ3yQc3E/c7r/4dfaH+IaGEVGnAdGNmhDbpoMYyKUCSJKEj7+OBh0jaNAxAgDZJWPOtZKfWUxOahHJx3M4ezyXpOO57F3nbuYZGGkgsJoBtVZFWC0TkfX80XmL798/4a/z57FGj/FYI/fD44yiDH6N/4XkDWuptvE4UacycaxYQ9KKNQAUhtXDdHc3wrvfiz5Ki3T2LyjKdI/aeXQ12Itg0zsXDhDTGSJbufv3VW8PxvCKOM0q66FQfxoYvOi39ySddhzlswbV6eRf9t+M4OBgMpLa41P3RyQcZBfabnG0N45I8i5DrVESFHULbhwKr1zkPLvdzqJFiwgODiYgoHTV/+DBg3n99ddp2rQpZrOZmTNn8u9//xuABx98kPfff5+ePXvicrmYNevC06U//viD4OBg6tWrh9FoRKVSoVSWrtLu168f9913Hw888AD33HMPISEhREZGEh8ff9Wj4k2ZMoWhQ4d63kdERNC2bVteffVVXnnlFTQaDX///Tc6nY769evTpEkTMjIy2Lx5s2cwlW3btlFcXEzTpk0B+Omnn6hXrx4xMTGYTCYkSSoz/jZt2pCcnExOTg5+fn58//33+Pn5sXPnTk/8TqeTZs2a8dNPP/Hggw+W2sfFzieGl9OlSxeKi4v58ssvGTZsGG+88QZ33XVXmf3xTp8+7elbJ0kSs2fP5uzZs7Rq1QpwD57y5ZdfMm3aNPLz81m2bJmnhvHhhx+mc+fOjB07llq1avHGG2/wyCOPePa9e/duYmJiPEm/INxuJEnCp3Mk3m3DMW9OIn/dGexJZtI/3geAQq9CV9sPv8F1xCidV0lvNNFx6EjA3Uwt6eghDv7xG/H7d3No428c2vgbfPwuepMvITE1Catdl9iWbfGvFolCIeZ8u9UkhTvx8/HXEVHbj4ad3MmfpdBO4pFsclIKyUkt4tTeDOwWJwc2XHiYGxJjJDTGRPUmgYTVMKFUiybP1ytIH8Sw+sOh/nB4CjKLM9mYsIG0zesxrd9N+Ok8vBd9T8Ki7wEwh5nwbtmKsDaj8XlgASq9GhK2w6qnwRDsfn16Y8mDhDSCgJoQ3hSi2kF4M1Hr9w/UM3ixuVVdRh08zaD9p3ilRhgToksPHChJEn5+bXE6fqHALnH7NtYUSd5to0ePHigUCpRKJQ0aNGDlypVl3sS89tprTJw4kbp166JWqxkzZgwjR7r/gI8bN46jR49St25dgoKCGDFihCdpSklJ4YknniAlJQWTycTYsWPL7JfXoUMHvvzySyZNmsTp06epVq0akyZNIisriz59+rBjxw78/C7f4bhHjx7Url2b7du3e5Z98803TJw4kRo1amCz2WjYsCHvvfce4B7xqF27dhQWFqLRuH/B1a9fH7Va7Unkjh8/zlNPPUVWVhbBwcG8//77REdHlzq2Vqtl8ODBfPfddzzxxBMsXLiQMWPGlBqIZPTo0SxcuPCKSd7V0Gq1rFixgscee4ynn36ali1bsnDhQs/6sWPHAjB79mxkWWbatGkMHToUpVJJw4YNWb16NaGhoYC7uexTTz1FcHAwarWaXr16eZrVNmrUiJkzZ3L//feTn5/PgAEDePXVVz3HWbx4MY8//vg/Ph9BqGgKjRJjtyiM3aJw5Fgo2pNOwaazuIocFO3LwHIqF++7QjB2i0JSi0TkakmSRLV6DalWryEALpeTtFMnObTpd1KOH+X0vt2c3rebrUvdc6P6hUXQoEt36nXojE9AkEisK5DOW01si5I3rC6XTHaymdP7M0k/U0BmYgH7f09k/+/uUW01Xir8QvX4hXkTEO5NYKQPfqF6vE2Xb8EilBboFciAOg9BnYdgDGQVZ/H7qV9I3fQb/r/vQ5OfT8Mf1pH6wzpSAatBgyK2JkGdJhBwX1800dHgckLmCTizxV3jl7QHDq90f53nFwOBse4+fjXvhqB6IvG7BsFaNSub1WLKyWTeiEvB7HTxUo3Sg1DVqleH4yeC8NfmoL2N+3+LefLOqci5s47mmLEqFeXOk3ezfPbZZyxfvpxff/31lh2zMjh79ix9+/Zl9+7dpSZEr6pyc3Np3749u3fvvuPnhhPz5FVdriI7GV8exH72Qr/bkEl3oQr0EgnIDSDLMnlpqWQlJXJ443rOHNyH9aKBobx8jEQ1akr1xs2IqFsf39Bw8blXMjaLg8xEM2eP5ZB+Jp/spEIKcixcWl3hF6rHFORFYJQP4bG+hNf0FTV//0CRvYgdydv5e+sq5P2H8T2RRr04O8aLeutkNauOb5sO1Og7BH2NmhdWFOdC0i449jPEbYT8ZLBf1ATMy99dy1e9vTv5C6wN+pLTRAklybLM66dS+CQxnUnVQ3ghpmSil52dzfLlY5mf1p2uDVvyv37NKijSsl3tPHkiyTvnTkjyCgoK2LFjB3fffTenT5+md+/ePPPMMzz99NM37ZiCUNmIJK/qk10yae/vxpF+4Q5KW8sXbU0TKn8dqmBvJJWEQqNE4aMRA1X8A7mpKaSeOk7y8aOkxZ0k+fiREuv9wiLwC4/AJyCI6o2bUfOuVkh3yMO124nN4iDrrJnkk7lknjVTXGAjM9GMtcjhKaPSKgmracIvVE94LV9Ca5jQmzQikb8OLtnF6bzTbN7/A2m//kTo4TSaH3OgumiMj6wwb5zVwzG1akvt/iPRh17U1aIoGxL/gpO/Qfph9wAvF9OawCcUfKOg4YMQUAsi7gLRxNpDlmVeOZHEl0mZTK0Zztio4BLr3vu/F1lhr0WrqCjeHXFfBUZamkjyynEnJ3l5eXncfffdHD9+HKPRyJAhQ3j77bdRiw71wh1EJHl3BtklY0sswLz5LPb0ohIJX1m8GgWiifTB0DZMNPH8B2SXi7z0NE7t3sHZI4fIS0shPyujRI2fb0gYfuERhNSIJbphEyLqNRCJQiXlsDlJi88nbm8GGYkF5KUXU5R/YSAKhULCP8Kb4OpGwmv5Eh7ri8FPK76f1yHfls+OA2vJ2bAexeFTGE6mEJ12IevLNik5Wy8AR/vm+HfoQkxIHWr71UYhnXtoYit0N/fMOe1u6hm3AWxmyI67cBC/6u7+fSH1IbINhDW5o5t7umSZN+NS+DghnTdjI3gkPBDVuYd+y79ewIeJhQRKxTweHcm9w65+XuibTSR55biTkzxBEESSd6eSnS5cRQ7s6UXIDheSJGFPLaRofwb2pJLTqii81ejq+eP/UO0KirbqcbmcHN74uzvxy0gl6chhZPnCDaxPQBD+EdXwNvniZTQR3bgZ1eo3RK0R/cMqG5fTRVZSIbnpRaScyCXpRC7ZySVHkPML1WMK1hNR2xf/cG98Q/QYfLUolKIW91oU2gv5e9fPWOYtQnfoNL6ZFs+6DCMkBEvkhuixNamNpW409zYZSIPABmiVF/3cFOe4B3Y5vAqSdkPm8bIP1mHiuTn92oH2zhmtWJZlRh+M5+fMPJr56FnVvBYahQKH3c49b39FuKqQJ41RdHpqQEWH6iGSvHKIJE8Q7mwiyRPKIssy5i1JWE7kYj2eA4CkVeLV0F3D531XCJLok3RD2SzFnN67i8RDB0g/E0dhTjb5Geklyhj8/DGFhGIKDiUsti5RDZvgFyb6+lU2LpdMfkYxySdyKci2cHp/JlmXPDwB92AvgdUMBFc3ElrDiMFPh1+oXkzqfpVkhwPzzp1kbFxH/l/bcaWm4ZVd5Fmfq4czwRLZAWrSG4ShatmMyPC6NA9uTowpBoPm3D1mUbY74UvYDodWQPapkgeSlO5RPc9P6RDVFnyjQVk1v092l8wP6Tk8ezSRfiG+fFTPPXBfz/9bQDVjPl+MHlupWniIJK8clTLJyzVjVSjQulzUFUmeINxUIskTrkS2O0metgPZ4QLnRX8iJTD1isHQRjTpvJnsNiupJ45x9sghMhPiyUlLIfNMfImav4BqUfiFRRAWWwedtwHf0HCMgUH4BAahVFXNG9HbkbXITkG2ldy0InJSC8nPspCZWEBOahFOe8lJpn1D9Pj4a/ELdTf/DKtpwidAJxL6K5AdDor/PkDG7q3k7t6BvP8w2pySNavJfhBQAPEhcKJlGFt80+l490juq9mLegH13E0+nXZ34nfmT8iJhzNbIetkyYP5VXc38Yxq557IPawxKKtOl5+vkzJ58fhZPqwXxaBQf3rNXEyQLon5Tz1f0aGVIJK8cogkTxDubCLJE66F7HBRuCuN/HXxuAovDEKBBAovFbp6AWhjjOibBSOJpmg3VX5mBklHDnJ6326Sjh2mKC8Ph81aqpxCqcTgH0BgZDTGoBACI6MwBYXgXy0Kg7+/mN+vEpBlmaJ8G3npF2r/CrIt7kFf8ktOPu2eE9CXwEgf/MO9CaluROMlEvnLkV0uLIePULx/H3m7/qLw9AmUR0+XKpfiB2cDJbLCvHHFRKDp0I7q4fWobqxOw8CGSABZpy4M7nJiXelaP78Yd8IX0wnq9QGvy0+jVdmNP3yGNZl5bG5Vl3Gf/YQ3+3jzgWBiqleeQQpFklcOkeQJwp1NJHnC9ZJdMuatyTjzbcg2J4XbU0qs19Xzx7tlKLrafki38dxKtxPZ5aLYXEBRbg4ZZ06Tl5FOWtwJXC4XaadOUJibU+Z2Wm9vfEPCMAWH4h8RiX9YOP4RkZhCQtHqvUXtUQWSZZmCLAspp/LIOFNAekI+mYlm7FZniXLna/58g/UEVzcSEGHAP8xbTPVwBY7sbIr++oucLRvJOnMM9d8nUFkdJcok+bv7+8WHSHg3bUZoo1bUrdGKhkGN8FZ7gyUPEne6J3A/X/t3ntbontIhtJF7Lr/INqC9fe5ts+0O7v7rKC1M3hRuTcWkyWbGgBr4+NSr6NA8RJJXDpHkCcKdTSR5wo0kO1yYtyaTt6bkU3JdHT8Mnaqhq+lbMYEJgDthsBUXkZ10lty0FIry8shLT6W4IJ/MxDPkpqXgsJauDdR4eaFQKAmpGYvO4INPQCA6gw9+oWEY/APw9vXH4B8gmobeQpZCO7lpRaSdzicvs5iss2bMORbyLxqMBEClVuAf7o1PgBfGQB2mIC8CIgwYA73w8lGLBL4MrqIizBs3Ys/OJuvIPnL37cLnZGqpctkGd5+/mhkKdvWvi6ZOHXxj61EvrAm17E50R3+CrBMQvwUKMy5sqFC5m3qGN4eo1u4+foF1Km0fv/PNNtseK0Ihw/Jx7So6pBJEkleOqp7kLVu2jH/961/k5eURFxdHcHDwlTe6BTZv3sz48ePZv39/RYdS6U2YMIE2bdowbNiwig7lllm/fj2ffvopy5Ytu+nHEkmecLM4zTYKNpzFvCXpwkKlhK62H95twtDVMIm+fJWQ02GnKC+PrKREzFmZ5GWkU5CZTk5qChnxcXgZTeRnpJW7vUqjxdvPD72PCb8w91xm3v4B+IWFYwoKwdvPH63eGy8fH5SqqtN/qbKQZRlzjpWMhAKyksxYix2kx+eTm1ZEcYG9RFm1Vokx0J38GYO88DKoMQXp8fHXYQzSofMWSeDFXIWFWI4fp+DYYdL+2kzxiWN4x6WjdLpKlY0LgYwAFXmxoehr1sKvZj3qBPgRW5iNLuVvSDsEGSXn0cQQCkG13clf7D3uZp+qih9RN9/hpN6WA0TuyqFJiA+fjWhR0SGVIJK8ctyOSV716tVZuHAhHTp0uOK+atSowezZs+nRo8fNCPWqXUvMlUWXLl0YM2YMw4cPr7AYUlJS6NChA8ePH0epvHAzuGjRIoYNG8aqVau4//77PcvnzZvHmDFj0Ol0KBQK6tWrx7vvvntNn7vL5WLixInMmzcPrVbL5MmTee6558osO2/ePD788ENOnjyJn58f48aNY/LkyaXKTZ8+nZdeeonNmzd7Ylm2bBkzZsxg3759DBkyhHnz5pXYplmzZsyfP5/GjRtfdezXQyR5wq3gsjjI/TEOy5EsXOcnlJbAt18tvFuEiP57tyG7zUpxXh7FBflkJ5+luCCf/Ix0HDYbhbk52IoLKczNpSg/j+L8vHL3o9Jo8Q0JBUDn44O3yQ/f0DB8AgIx+AfgExCEztuA3tcPlZjH9h+zFTvIzyomL6OY/AwL+ZnF5GUWk3Y6H1uxo1R5lVaJj78OvVGNzluDf7g3pkAdKo0Sbz8tPv7uZFB5BzfJlmUZe2Ii1jNnyDm0l5y9O3GeiEOZlYfmkma1GUZIClWTVTsYOToCv7p1iPZSEGspIiR+K1JOfMlaP0MomKq5+/hVawHR7cHL95aeH0Cv3cfJ2JZKY4MXc0e1vOXHv5yrTfIqZz3pHeZGZtkJCQnUr1//mrdzOByoRLOTCrdgwQIeeOCBEgkewMKFC/Hz82PhwoUlkjxwJ6e//fYbDoeD1157jYceeoiUlJSrfho5e/ZsNmzYwPHjx8nLy6NLly40btyYbt26lSprsVj4+OOPadmyJUlJSdx7771ERUXx8MMPe8okJSWxePFiwsLCSmzr7+/P888/z9atW8nOzi617yFDhjB37lw++OCDq4pbECozhU6F/0D3PHuuIjvpn+7HkVFM7oqT5K44ifGeaFTBenQ1TSj04kb+dqDWaFEHBWMMCiakRq3LlpVlmaK8XAoyM7AWF5GdlAiShDkrE1mWyUtPw261UJiTQ+aZeI5t21zuvnQ+RhQKBd5+/uj03hgCAtHovAioFola54XW2xu1WoO3fwBePka0ej1qrXiAdZ572gYfAquVnvvN6XRhzraSn1mMOceKOcdCcYGdwlwrBdkW8tLzOHMgE4e9dM0VgM6gxtukQaFU4OWjQW9UYwz0QqlS4O2rxcdfi8FPh5ePBpVGUWVqCSVJQhMVhSYqCp+OHYm6aJ2rsBDb2bNkHfub1B0b0e75m8YnM1EcTwKSgL8AiPOGP/3B7G9EDquJMsKXcKNErDKLiOIslFtmXtipQu1O+CJbQWhjiOkMhqCbeo4tTd58abdT21nxNYvXS9zV32ZGjRqF0Wjk0KFD/PXXX7Rt25YlS5bg7++PwWDA6XRSp04dGjRowF9//cXmzZt55plnOH36NE2aNGH27NnUq+fuPCpJEh999BHvvvsu1apVo1u3bhw/fhyr1covv/xCkyZNWL58OVOnTmXx4sXUrFmTZcuWUaNGDcDdrHD58uUUFRXRqlUrvvjiC6KiohgzZgwJCQn06NEDhULBZ599RkREBGPGjOHkSfdwvIcOHWLs2LEcOHCAmjVr8uGHH9K+fXvAXQs4YcIEvvjiC1JSUhg+fDgff/xxmZ/Hl19+yX//+1+ys7MJDw/ns88+Q6PRMGzYME6fvtBHZsqUKaSkpPD555/zxhtv8PHHH1NYWEh0dDTffvsty5cvZ/PmzWzfvp2xY8fy8ssv8/LLL7Nx40YmTpzIqVOnaNq0KXPnzqVmzZrEx8dTq1YtZs2axZQpUwD47LPPkGWZiRMnUlBQwPTp03nsscfKjbNLly6lzmft2rVMmDChxLL09HTWrVvH119/zejRo8nPzy/zyY1KpWLEiBFMnz6drKwsAgMDr+qaWrBgAc8//zzBwcEEBwfz+OOP8/XXX5eZ5I0dO9bzunr16jz44INs27atRJI3adIkpk6dWqo2sGvXrgCcPHmyzCSvU6dOjBo16qpiFoTbiUKvJnRSC2RZJuvrw1jj8shfd6ZEGVWgF9oYE+pqBrzqBaA0aiooWuFGkCQJb18/vH3dIw1GN2p62fKyLGMtKqQ4P4+CrCyK8nIozM3B5XKRlZiAw27DnJ2Fw2YjbvdfOB0OZJcTp6N0TdR5KrUGjV6P1tuAKTgEp82GKSQUWZbR6r0xBgZj8PdH621wT0LvY8TLaLqj+hkqlQpMQV6YgrwuW85hc1JUYKMoz0Z+ZjHFZju2YgfmXCuFuVYsZndimHm2gKI8W7n7UWmV6H3U6I0a9EZ3raC3rxattwofPx16kwadQY1Wr0J1mzbtVnh7o6tTh4g6dYi4f6BnuctiwXriJOYTR8iOO4Ly6EEi4s5g2p8P+xOABAAKgb/VkO5fjYJgPc4ALWqTg4CkROqd3UGQy4UnVfaLOTefX213U8/odqDxviHnMTwsgC8lib25hWzIzqeLf/k1ZpXVnfOTfB3sVgvZSWdv6jH8I6pdeHOVVXpLly7l119/pXbt2vTu3ZsPPviA//73v5jNZiRJ4tixY1SrVo2srCzuv/9+5s6dS9++fXn//fe5//77OXLkiKfWbt26dezfvx+1Ws3bb7/NqlWrWLt2LYsXL6ZPnz60bduWt99+m48//pgnn3yS//73v8yfPx+A9u3bM23aNDQaDU8//TTPPPMMK1eu5IsvvuC3334r0Vxzw4YNnvhtNht9+/bl2Wef5ffff+f777+nb9++nDp1Cj8/9x/ElStXsnnzZiwWC82bN2fAgAHcfffdJT6HwsJCnn32WXbv3k1sbCxnzpzB5XIRExODQqFg27ZttG3bFoDFixfz+eefc/ToUWbPns3evXsJCQnh2LFj+Pr68tprr7F+/foSzTUTExN56KGH+P7772nXrh2ffPIJQ4YMYefOnQA4nU6OHz9OQkICixYt4vHHH+fee+/l4MGD7Nixg759+zJ48GAkSSozzrIcOHCA2NjYEsuWLFlC48aNGTp0KK+99hrLli1j9OjRpba12WzMnz+fiIgIAgMD2bJlC3369Cn3OsrNzQXg8OHDJZpINmrUiNWrV5e73cU2bdpUonnrhg0byMzMpH///uU2+SxP3bp1PQ8ZtNrb98mZIJRHkiQCRzYA3P337MmFFO3PwBqXiyOzGEdmMeyE3BXuh2GSVonP3ZFICgltrB/qUH2VqQkQSpIkCZ23AZ23Ab+wiKvezumwYy0qwmIuID89DWtxMQ6blZyUJIrz8z3rzdmZqLRaTu/bjcvpxFZchNNuL3e/KrUGY1AwToe7jN7Xzz0xfbA7STT4+qHUaNB66TEGBbtrFPXeaHQ61F5eqNSaKnWtqjRKjAFeGAO8CK1humJ5l9NFcYGdgmwL1iIH+ZnFWArP1RBmWbAU2slJK+LssZwym4yepzOo8fLR4BeiR1JImIJ0KNVKtF4qvH21ePtq0Xgp0enVePmoUVTiZuAKnQ6vRg3xatSQS+vgZKcTa3Iyifu3kL1nB8WnTuKVnE5AXBHeB8yeclmEctwHUkJV2H1VOMOVBOXtoKZiNTUcdpQAWhNU7+Cu9YtuB2FNQXXtD81ivXXUNXhxKj6XQxlmkeRVNdlJZ1n40rM39RjD33of/EOvaZuBAwd6bsoHDBjAr7/+Wma5NWvW0LhxYx588EHAXcPy/vvvs3PnTk/yM3ny5BK1Qt26daNjx44A9O/fn08//ZRBgwYB8NBDD/HSSy95yg4ZMsTz+t///renJu5KduzYgcvl4plnngFg8ODBvP/++6xdu5ahQ4cC8Oyzz3pqorp06cL+/ftLJXng/sN46NAhoqKiiI6O9iwfNmwYixcvpm3btuzevZuioiI6depEXFwcVquVI0eOEBgYSN26dcuN85tvvqF///6ez2PChAn873//Iz4+3lPmlVdeQaPRMHjwYB599FGeffZZ9Ho9d999N97e3pw8eZLY2Nhy47xUbm4uBkPJfpkLFy5k8ODBns9q4cKFJZK8jRs34uvri1qtpkGDBqxYsQKADh06eBK5yzGbzSWuAaPRiNlsvswWbjNnziQ7O5uRI0cC7ia/zz33HAsWLLjitmXx8XE3pcnLy6s0AwYJws2iNGhQ1tagq31hTinZJWNLyMdyNIfC3Wm4iuzkr40/t/ZCywSlrxZ1iB51hAF1iDdKPy0qXy0KvVpM3XCHUarU6I0m9EYT/uHVrrzBRVxOJ8UF+e7+hEVFmHOzKcjKxGGzUpyfj81SjN1qxWIuICvxDJaCAuJ2/4VSrcZWXHzlA0gSKo3GXUNoMGIKCUF2uTAFhyDLoDeaMPgHuOc19PNHUirxMhhRqtVo9Xo0XvrbtlZRoVR4krArkWWZ4gI7xWYbhblWigvsOGxOT/NRgKykQpwOF6f2pF9xf36herR6NTpvFVq9Gu25/3XeKiRJwidAh0rtjs/LR4PWS4WkqNiEXFIq0UVGEhs5FPoMLbFOlmWKz8RzZvcGcjdvRBGfQOyZdLQnLoyq6iCIDX6QHKai2E8J5r+JPLmBu11F6GQZdCb34C7hTaFOL4hoAYor/67sUz2Q905mQ3IR1LnRZ33z3Z4/PbeIf0Q1dxJ2k4+RfZmnOGUJCQnxvNbr9eXekCcnJxMVdaGltEKhIDIykuTkZM+yatVK/lG4+Obay8ur1PuLj/XGG2/w1VdfkZ6ejiRJ5OfnX1X8ycnJREZGllgWHR1dIq6rOUdvb28WL17MjBkzGDVqFPfccw8ffPAB4eHhDB8+nM6dO/Pee++xePFihgwZgkKhoFatWrz77ru8/PLLHD9+nP79+zNz5swymz8mJCSwYMECli5d6llms9lISkoiIiICpVKJv7+/57Mp6/Mzm82XjfNSJpOpxLkeP36cXbt2eWIYMmQI06dP5+zZs57vXefOnfntt98u84lfnsFgKPG9y8/PL5VoXuqbb77hvffeY9OmTZ5znzVrFh06dKBhw4bXFUdBQQHAZTsRC0JVJikktNVNaKubMN1b3bPckVmMNT4fp9mGM8dC4c40nLlWLMfKngNO4aNB6a1GHWFA5a9DUilQBerc8/fdpk3AhBtPoVSWaFJ6rZwOOxazmcLcHBw2q2dOQnNONraiIhw2K7lpqZhzstDqDZ7l8X/vRZIU2C1XkSieY/APAElCqVKh1mjP1TI68AuLwOmw4xsShsvhwBgUDJKEwS8ASeGuHXUnjd6oNFo0Oh3SVdzc30qSJJ1rvqkhIPzqRlh32l0UFdiwWRzYip2ePoROu5Nisx1rkeNCDWKCA2uR/bLNSAEMflpkGbR6FaYgL2SXjN6oQVK4E8Pzcfr46zD4a/EyaFDrlDe9xlaSJPTVY6hXPQYGPOpZLrtc2BITSdu3naS/NqCIP02TvxNQ28/fU5s4jYnkEAWY1ET4xRHp9Sc6v/dRamWI7QEtHoM695Z77H91j2V4mygUt2mttEjyLkOt1V2xc/UNUXzlWpPrER4ezpo1azzvZVkmMTGxRHJxvT+cGzdu5JNPPuGPP/4gNjaW48ePl6gVu9x+w8PDSUxMLLEsISGBBx544Jrj6NWrF7169cJsNnv60s2bN4/atWsTGRnJ+vXr+fbbb/nhhx8824wYMYIRI0aQmZnJkCFDmDlzJlOnTi0Vc0REBI8//jgffvhhqeNeXJv3T+K8VKNGjThx4oQnUVq4cCEAbdq08ZRxuVwsWrSIF1988bLH3Lx5M/fdd1+5688nk/Xr1+fAgQOe2uGDBw/SoEGDcrdbtWoVkyZNYv369cTExHiW//HHH2zatInvvvsOgIyMDB544AGmT5/O448/ftlYAY4dO0ZsbKwY8VIQLqEK9EIVeKHPkF//WGRZRrY5cWRZcOZacZptuArsOPOt2JILsSeb3cvMJZvkKf20KH00aGv6oqnmg8KgRumrRektagGFa6NUqf9RkgjgsNkoNudjKy7GYbViMZtxuZwU5mQjKRQU5+fhdDpx2KwUZGbicrlrHy2FhcguJ8e2bkKp0WDOyrym46q0WnQGH5x2O8ZA98NZg38AtqJCTCFhuBx2dD5GtHpv7FaLO3mUZTReejR6PbLLhd7HhEqjQaFSuWsd1So0Oi/UWh0K5c19mKJUK/Dxv/a/lXabE8u5JLAw10phnhW7xYm12EFBZjF2qxNZBpvFQXGBnbQzBUgSl00Qtd4qnA4ZU6AXsiy7m5DqVChVEqYgL1wuGYOfDq1ehc5bjcHPnSBqvJT/qHmppFCgjY4mKjqaqAcGe5a7rFYsh49w5stPiCs+iyo+Gb8EK/JxSODCWAVav/14+T+BoUEE3kOeRRHVHBRKkJQX/pcUBCiUN6yf360mkrxK5EY/J7jvvvuYMGECq1atonfv3nz44Yd4eXnRosU/n++joKAAtVpNYGAghYWFTJs2rcT64OBg4uPjyxzKv3Xr1gB8/PHHjB07lhUrVnDkyBHuvbf8pyllSUtLY+fOnXTr1g2tVoter8fpvDB07/Dhw5k4cSIGg4FmzZoB7kQiJSWFdu3aodfr0Wq1npEsz8d83sMPP0y7du0YOHAg7du3p7CwkF9++YWHHnrohsZ5sXvvvZctW7bQv39/wF1jNmPGjBIDm3z55ZcsXLjwiklex44dr6rZ5fDhw5kxYwY9evQgLy+POXPmePpdXmr9+vU89thjrFmzplQiOG/ePCyWC80nWrZsyaxZs+jevTvg7sNot9txOBw4nU4sFgsqlcrTP3TTpk307NnzivEKguB+kCZpVWjCDXCFp/+yw0XRvnQsx3Nw5tuwxedjSygos6wqQIcqSI+kVqAK1qMJN6DwVqGJNCIpb8+n2ULlpdJo8PG/ukHCrkSWZZx2O9aiQiyFZlwOB3arFWuhGZfLRWFuNiBRkJWBSq0hNy0VtVZLbmoyKq0Wc042kqQg7fRJigvyUSiUmLOzUKiUuBwOXOX83S7P+QTRFByK7HKhVKvx8nE3R7UVFWEKCSU76SxhteuiUqtw2Oxovb3d21mK8fYLQKlWoVSqcDmdGAICkSQJLx8jKo0GjZcetVaLSqO96matao0Stb8SH38IrHZt8zI77S4s52oEC7ItWMx2HHYn+RkWFCqJ/MxiJEkiL8M9XYUkwYmdaUiShMtV9qATCqWEyyljDNThcskYA7xw2F2emsTzcxlqz41AbPDTolK7RzLVeavR6FUoLmlqqtBq0TdrSr2PPqfeuWV51jzWHv2B/VtWoDh4nLAsFzVzDUSfUpJ7KhfX6ilk1nBQEOTC5uNCPpd7SucGy6jZojdNhn9yTZ9XZSCSvCosMDCQlStX8uyzz/LII4/QuHFjVq5cifoGzLtz77330r59e6KjowkMDOTFF1/01DqBu4/eM888w/jx4/nkk09K1B5qNBp++OEHxo0bxyuvvELNmjX54YcfPIOuXC2Xy8U777zDww8/jFKppF27dnzxxRee9UOGDGHSpEn85z//8SyzWq288MILHD16FK1WS48ePTwDhEyYMIFRo0YxY8YMJk+ezOTJk1myZImnvLe3N127dr3mJO9KcV5sxIgRdOzYkXfeeYcdO3aQnp7O448/7umvBjBu3DimTZvG33//fU1xlGfcuHGcOHGC2NhYNBoNkydP9oyseX5KjsOHDxMVFcW0adPIzc31jJQJ7iRx9uzZ+Pr6ltjv+easer0ecI/i+eijF5paLFy4kClTpjB16lTAPcDMV199dUPOSRCECySVAu8WoXi3cPf/lp0uXIUOXFYHznwbrnwbtiQzrkI7riI7tiQzstWJfKBk7YikUYDsTgQVejWqIC9kp4w65FxSGOj+X+GlQlJKKLzV7sRQoRAJonDTSef6AKo0mn9Uu1gel9OJw27DYbNht1g8zVVlWcZhs1KUn4dCocCcnYWkUJ5LJtXYrRYKsrLQeHnhdDgoyMxA5+ND/L7d+AQFk3z8CHZLMYW5uWh0OiyFZvegOJIE1ziV9fnRUR02G3qjCbXOC4VCgdPhwBgUhLWwEGNQCEqVCoVKhcVcgDEwCIVKjVKlwlZchE9AIEq1BofNhsHfH6VKjSzLeBl8UKrVSAoFfiE6lNXUKFVeKFS+qFRqFCoVCmXZzTedDhe2YgdFBTYKMi1Yi+w4HTIF2RYkhURBVjEKpYK89CK8fNRkJBSgVEmkns5zJ5O2sgerA1CqFGj0KtQaBf5h3siye8AaU5AXXj4ajIE6vE1aHqz7MIObjCDPmsfcA3P5OPF3Cm1mYs/YabO7kBYHrQSfLPsYiYar645U2VSKydBnzZrF//3f/5GamkqTJk346KOPaNWqVbnlv/vuO1577TXi4+OJjY3l7bffplevXld1rMo4GfqRXDM2hQKd00Udv2t7siKUz263ExISws6dO6lZs2ZFh3PVxo8fT7t27UrU3lV169ev59NPP2XZsmU3/VhiMnRBuDouqxNXoR3LsWxkhwtnrhVHjhWX2QYKCXtqIZJCujDZ+5UoQBWoR3a4UAXo3BPCSyA7ZVQmLShAadQi293rZZeMyl8HCsmdOKrcyaKkVbpfqxViUnmhSpNdLpwOB3arBWtREQ6rBfu5gXEAzDlZKFVqivJyPYmhtagQa1EhSpUap8NOQVYmGq2O/KwMlCoVsgwuh538zAy0em9c56biMGe5R2CVXa7Ljrx6NVQaLSqtFoVCgbXQjE9gEAqlyt1ySqHAYbViDAo+l1gWn0ss1dgtFryMRrR6972wJIGXjxFJocJSWIxa6wMosVlkbJZzTUuLFdisIDvBnOvCaVfgsCsozANJKv37weDvnrrCL8wblUqBf7i3OzGVAJcTbFZwupAUgAQKSSKwuh8BNW5MjfONcNtMhv7tt98yceJEZs+eTevWrXn//ffp2bMnx44dK3OEva1btzJ06FDeeust+vTpw6JFi+jXrx979uy57gEfhKpp/vz5NG7c+LZK8IBy5wSsyrp161bmvHyCIFQchVaJQqvE0Lb0IFEXk10yrgIbrmIHst2F7HQnhCgkcMo4si3IDvdyR0YxkkYJTheyU8aRVYxCp6LodB6SToWr4PKDQ5SiUqDQKVEa1KBUgEJCLrKj9HcnkZJSwmV1ovLTgUpCLnag9NW67x4l92A3SBIuiwOlUeuucVRKSJKE7JJR6FWeMihwn5NDRuGtcieYSglJISGpFXDueO59KNzbKdzbVaXpBIRbR1IoPLWTXj63blCy801fHXYbTrsdm6UYl8OBw27HWuh+uHN+udNmA4UCl8OBrbgIu9WKUqVyJ445WajUGmRZxuV04nI6KcjKROvlhcNuJy89FZ3Bh4LsTGzFxecG45FwOuzkZ6Sj1nkhu1w4bNbrPhdJoUBvDMDlApXGiK3AhxyLH0mHi3C59Lh/EUhc6DTlfi0heV436d6czpUoybtaFV6T17p1a1q2bOm5sXW5XERGRjJhwgQmT55cqvzgwYMpLCwsMY9XmzZtaNq0KbNnz77i8URN3p2hTZs2nD17lhUrVtCyZcuKDkeoRERNniBUfrJLRrY4cFmcuIod4JKR7S5cRe7aCtnhxJ5ahMtsR9Iq3evPJZsy51q6OWWcORYkLxU43AmlpDv3bNslgywju8BVYHMnaee2ca+7OeclaZUgSUhKPImmq8iByld7LiGUPMmhq9iB0kfjThqlC+WRpHP3pBfeuwrtKE2aMtddSGbBZbajNGkvv79zfZzkYgcKg/rCPqRL4yi5zFXscCfbipLHdJeXzn1PXO4RXs8l0u4P5dwXkuc+W7roGOcWlFjn2c9F6z159MXbXPJeKm+953OQLlpfspxURiyl475ow/Nlzn9PhX/E6XDgcjhwOt3/O2w2XC4XTofdnXAWFSHLLhw2G0X5ecguF/mZ6UgKBdlJZ3E5nWQnn3UP4pOViexyoVAokWWXeyArl4wsl90stN3A4bR9aEiZ6yrCbVGTZ7PZ2L17d4m51xQKBd27d2fbtm1lbrNt2zYmTpxYYlnPnj1ZuXJlmeWtVitW64UnAFc7zL9we9u+fXtFhyAIgiBcJ0khIenVKPSX6UPe5OYdX3bKyA6Xu0/UuQQSl7uGQ7a73MscLmSLExTnkkOn7ElC4Vx5l3t7Z77NneDJlyw32y5Ma+G6cCyXxQF2l7vWU5bdXbPkc8mn5717G2euBYVB7W42e66M7LpQFvlczUyeFaW3BkdW8SX7c68/vz9kcOZZUXirzmXLlBmDe7tzr50V3vPn9nBpQnvutVTecsWF7WQnyBYHCh+1p9yFnPKi7S5KXt2rLpdMu/93mu0ofTSlE+Cy4i+1TCp7dXl57TXtu+w3l+5CArSeIhoMBIEkEcK5eaj151r61SnvOJculM//A2T0NW7PuXsrNMnLzMzE6XSWmBMN3HOkHT16tMxtUlNTyyyfmppaZvm33nqL//73vzcm4JskRJJIBEJE3wJBEARBqHDuZpdiTsFrdXFyWSLRdJ1LEp3nakrOJ4hcSDQ9g4ycv7mWPXfZJV7LdteFG/Xzyy7a1lP+/Ptzx/G0W7v4uOdeuqyOC8m2XHLdxWXlMra99P3FsbuKHZ5a4hLbXHyulx7v0nXnYyywofBWe9ZfOJ/S53ohjouCKuuzlGXkYgdqpbuPa8kdX6KsxRctK7dhYHn5f1nlr6JsiSLXsu/yyl9c9pKXnsrY23R+0Qrvk3ezvfTSSyVq/vLz80tNxF3R/E3e+Fd0EIIgCIIgCP/AhWaJ0g2fFkoQhGtToUleYGAgSqWStLS0EsvT0tIIDQ0tc5vQ0NBrKq/VatFqtTcmYEEQBEEQBEEQhEquQtsHajQa7rrrLtavX+9Z5nK5WL9+PW3bti1zm7Zt25YoD7Bu3bpyywuCIAiCIAiCINxJKrwT2MSJE5kzZw7z58/nyJEjjBs3jsLCQs+kyY888kiJgVn+9a9/sXbtWt59912OHj3K1KlT2bVrF+PHj6+oU6hQCQkJpSahvtioUaOYNm3arQvoGnz00UcEBwcTGFg5hqUdO3Ys77zzzk3Z97vvvssbb7xxU/ZdWR0/fpw2bdpUdBiCIAiCIAh3nApP8gYPHsyMGTP4z3/+Q9OmTdm3bx9r1671DK6SkJBASkqKp3y7du1YtGgRn3/+OU2aNGHZsmWsXLmyys6R16NHD956661Sy//zn//w4IMPEhUVRW5u7q0P7B+y2Wy8+OKLbNmyhczMzIoOB4DZs2fz4osv3vD9Wq1WPvjgA55++ukSy7du3YokSXz44Ycllm/YsAGFQoHBYMDHx4dGjRqxatWqaz7u9OnTCQoKwt/fnxdffLHcTtE//fQT7dq1w2QyER4ezsSJE7FfNBHq1KlTadCgAQqFgnnz5pXafseOHbRp0waDwUBkZCTLly8HoHbt2oSGhvLjjz9ec+yCIAiCIAjC9avwJA9g/PjxnDlzBqvVyo4dO2jdurVn3YYNG0rdWA4cOJBjx45htVo5ePAgvXr1usUR3zrDhw9n0aJFpZYvWrSI4cOHV0BEN0Z6ejp2u53atWtf87YOh+MmRHTzrFq1ihYtWpSqcV24cCF+fn4sXLiw1DY1atTAbDaTl5fHuHHjGDJkCNnZ2Vd9zDVr1jBr1iy2b9/O4cOH+fnnn/nyyy/LLJufn8/UqVNJTU1l//797Ny5k//7v//zrK9VqxYzZ86kQ4cOpbZNTU3loYceYurUqeTm5rJ3716aNWvmWT906FC++OKLq45bEARBEARB+OcqRZInlO/BBx8kLi6OAwcOeJZt376drKwsevfuTXx8PCrVhfFzTp06Rfv27fHx8WHAgAEUFxeX2N+sWbOIjY0lMDCQkSNHUlhY6Fn3ySefUKNGDYKCghg+fDh5eXmedb///jstWrTAaDQSGxvL5s2bAUhMTKRXr174+flRv379EjVOXbp0YcqUKZ7tBg8ejNVqJSEhgTp16uB0OjEYDAwcOBCAjRs3ctddd+Hr60uXLl04deoUgOccZ8+eTUREBKNGjcLpdDJlyhSio6MJCQlh0qRJnuRv6tSpDBs2jIEDB+Lj40Pr1q05ffq0J659+/bRuXNnfH19iYqK4rvvvgNKNm2dN28eXbt2Zdy4cRiNRurXr8+ePXs8+9ixYweNGjXCaDQyduxYOnfuXGayBrB27Vo6duxYYpndbmfp0qV8+OGH7Nmzh+PHj5e5rUKhYNSoUVgsFuLi4sosU5YFCxbw5JNPUrNmTUJDQ5k0aRJff/11mWWHDh1Kjx498PLyIigoiBEjRpSYp3L48OH07NkTvV5fatv33nuPUaNGce+996JSqQgMDKRGjRqe9Z06dWL9+vW3XWIuCIIgCIJwOxNJXiVnMBh44IEHStTmLVy4kIEDB5Y5aujQoUPp3LkzWVlZjBgxgu+//96z7rvvvmP27Nn89ttvJCYmYrfbmTJlCuAevOb1119n9erVxMfHU1xczL/+9S8A4uLi6NevH1OnTiUnJ4f169cTFhbmOV6DBg1ITU3lk08+Yfjw4Zw8edJzzKVLl7J8+XISEhI4ePAgixYtIioqikOHDqFUKjGbzXz33XckJiby0EMP8f7775OVlcWAAQMYMmSIZz9Op5N9+/Zx6tQp5syZw8yZM9m8eTO7du3i2LFj7Nmzh9mzZ3vKr1ixgqeeeoqcnBzq1KnD1KlTAcjLy6NHjx6MGDGCjIwMdu/eTb169cr87Ddv3kynTp3IycnhwQcf5LnnngPczS8ffPBBnn32WbKysmjcuDFbt24t93t44MABYmNjSyz7+eefUSqVnu9XeQmi0+nkq6++wtvbm1q1ann6YJb3lZCQAMDhw4dp3LixZz+NGjXi0KFD5cZ4sU2bNtGgQYOrKvvXX3959h8WFsbIkSNLPBwICwtDqVR6EnZBEARBEATh5hNJ3mW4bE5sSeab+uWyOa8Yx/Dhw1m8eDGyLONwOFi6dGmZTTXPnDnD33//zX/+8x80Gg39+vUr0fR17ty5vPTSS0RHR+Pl5cXLL7/MsmXLAFiyZAlPPPEE9evXx9vbmzfffJNvv/0WWZZZvHgxffv2pU+fPiiVSqKioqhVqxaJiYns2rWL//3vf2i1Wrp06UKfPn08NWMAY8aMITo6Gl9fX3r37s3+/fvLPMdvvvmG/v3707FjR5RKJRMmTCA+Pp74+HhPmSlTpqDT6fDy8mLu3LlMmzaNoKAgfH19mTRpkudcALp168bdd9+NSqViyJAhnuOuXr2a2NhYxowZg1qtJigoqNz+nHXr1mXo0KEolUoefvhhzz62bduGTqfjscceQ61W89RTT3mS3rLk5uZiMBhKLFu4cCEDBgxAqVQyZMgQvvnmmxLrT58+ja+vL8HBwcyfP5/ly5d7ah5zc3PL/YqKigLAbDZjNBo9+zMajZjN5nJjPG/58uWsX7++xNySl5OUlMSCBQtYvnw5J06cwGw2l9rWx8enROInCIIgCIIg3FxVfjL0f8KRUUz6R3tv6jGCJzRDE2G4bJkePXpQXFzMn3/+SX5+Pnq9vlTzP4CUlBSCgoLQ6XSeZRdP/J6QkMCTTz7JU0895Vl2foCN5ORk2rVr51keHR2NxWIhOzubs2fPEhMTU+p4ycnJBAUF4eXlVWK75ORkz/vzA+gA6PX6cvuVJSQksGDBApYuXepZZrPZSEpKIiIiAoVCUSKRSkhI4L777kOS3NOtyrJMREREucc9n+CUdy5lKW8fqampJY4FlHp/MZPJVCLBys/P58cff2Tt2rUADBgwgKeffpqtW7d6vgcxMTElakSvlcFgID8/v8QxL000L/XHH38wbtw41qxZQ3Bw8FUdx8vLi2HDhnn6Vr788sv06dOnRJmCggJMJtM1noEgCIIgCIJwvUSSdxmqIC+CJzS7csF/eIwrllGpGDx4MIsWLSI3N5eHH37Yk9xcLCwsjMzMTCwWiyfRS0xM9DS9i4iIYNq0aTz44IOltg0PD/c09QN3EqXT6fD39ycyMpLDhw+XuU1GRkaJ4yUkJNCoUaOrO/mLRERE8Pjjj5caaRLcffIuPd+IiAi+/fZbmjdvfk3HiYyM/MejPYaGhpKUlFRi2aXvL9aoUSNOnDjheb9s2TIsFguDBg3ynJfL5WLhwoUlEu2yJCQkUL9+/XLXHz58mKioKOrXr8+BAwe4//77ATh48OBlm2Du2LGDQYMG8d1339GiRYvLxnCxhg0blvjeXPp9Sk1NxeFwULNmzavepyAIgiAIgvDPiOaal6HQKNFEGG7ql0KjvKpYhg8fztKlS1m1alW5o2pGR0fTsGFDpk2bht1u54cffvD0mQIYPXo0b775pqd/VEpKiqc2afDgwcyZM4cjR45QWFjIK6+84klChg4dyo8//siaNWtwuVwkJiZy6tQpIiMjad68OVOmTMFms7Fp0yZ+/PFHHnrooWv+rB9++GG+++47Nm/ejMvloqCgoETzy0uNHj2aV199lZSUFGRZJj4+no0bN17xOL179+b48eN89dVX2O12MjIyOHjw4DXF2rZtW4qLi/nqq69wOBzMnj27xDQfl7r33nvZsmWL5/3ChQt59tln2b9/P/v27WPfvn189dVXLF26tMTUBWWJiorCbDaX+3W+uebw4cP57LPPiIuLIy0tjZkzZ/LII4+Uuc8DBw7Qt29f5s6dS5cuXUqtt9vtWCwWXC5XidfgHqzmq6++Ii4ujqKiIqZPn07v3r09227atImuXbuWGBxIEARBEARBuLlEknebaNWqFQEBAdSpU+eyNTmLFi1i/fr1+Pv7M2/ePPr37+9ZN3ToUB577DF69+6N0Wikc+fOnhq6Hj168NJLL9GrVy+io6NRq9W8//77gLvp4PLly3nllVcwmUx069bNk9QsWbKE/fv3ExwczJNPPsn8+fNLDTJyNWJiYliyZAkvvPAC/v7+1K1b97Jzw73wwgu0bduW9u3bYzKZ6Nu3L4mJiVc8jslkYu3atcydO5fAwEBatGjBsWPHrilWrVbL8uXLeffdd/H392ffvn20bNmyzIFwAB544AH++usv8vLyOHv2LJs3b+aZZ54hNDTU8zV06FB0Oh0///zzNcVSnt69ezNu3DhatWpF3bp16dmzJ6NHj/asNxgMnhFSZ86cSVZWFg8//DAGgwGDwcB9993nKfv444/j5eXFunXreOKJJ/Dy8mLTpk0A3HPPPTz33HO0b9+eqKgoNBoNM2bM8Gy7ePFiHn/88RtyToIgCIIgCMLVkeTyZkiuovLz8zGZTOTl5ZUYmMJisXD69GliYmJK9GkThCuRZZlq1arx3XffldvccsaMGdhsNl5++eVbHF3FOXHihGc6hrKaF1cU8bMuCIIgCMLtqrxc5lKiDZUgXIcNGzbQsGFDjEYjM2fORJKky/Zle/75529hdJVDbGws27dvr+gwBEEQBEEQ7jgiyROE63DgwAEGDRpEcXEx9erV4/vvv0ej0VR0WIIgCIIgCIIgkjxBuB4TJkxgwoQJFR2GIAiCIAiCIJQiBl4RBEEQBEEQBEGoQkSSJwiCIAiCIAiCUIWIJO8Sd9hgo4Jwxzk/x58gCIIgCEJVJfrknaNWq5EkiYyMDIKCgirVkO+CIPxzsixjs9nIyMhAoVCIgXIEQRAEQaiyRJJ3jlKppFq1apw9e5b4+PiKDkcQhJtEr9cTFRWFQiEaMgiCIAiCUDWJJO8iBoOB2NhY7HZ7RYciCMJNoFQqUalUoqZeEARBEIQqTSR5l1AqlSiVyooOQxAEQRAEQRAE4bqI9kqCIAiCIAiCIAhViEjyBEEQBEEQBEEQqpA7rrnm+SkS8vPzKzgSQRAEQRAEQRCEq3c+h7nStG93XJJXUFAAQGRkZAVHIgiCIAiCIAiCcO0KCgowmUzlrpfkO2z2b5fLRXJyMj4+PpVmhL38/HwiIyNJTEzEaDRWdDhCFSCuKeFGE9eUcKOJa0q40cQ1JdxolfGakmWZgoICwsPDLzsd1B1Xk6dQKKhWrVpFh1Emo9FYaS4goWoQ15Rwo4lrSrjRxDUl3GjimhJutMp2TV2uBu88MfCKIAiCIAiCIAhCFSKSPEEQBEEQBEEQhCpEJHmVgFarZcqUKWi12ooORagixDUl3GjimhJuNHFNCTeauKaEG+12vqbuuIFXBEEQBEEQBEEQqjJRkycIgiAIgiAIglCFiCRPEARBEARBEAShChFJniAIgiAIgiAIQhUikrxbZNasWVSvXh2dTkfr1q3566+/Llv+u+++o27duuh0Oho1asSaNWtuUaTC7eJarqk5c+bQsWNH/Pz88PPzo3v37le8BoU7z7X+njpvyZIlSJJEv379bm6Awm3nWq+p3Nxcnn76acLCwtBqtdSuXVv8/RNKuNZr6v3336dOnTp4eXkRGRnJc889h8ViuUXRCpXZpk2b6Nu3L+Hh4UiSxMqVK6+4zYYNG2jevDlarZZatWoxb968mx7n9RJJ3i3w7bffMnHiRKZMmcKePXto0qQJPXv2JD09vczyW7duZejQoTz22GPs3buXfv360a9fPw4ePHiLIxcqq2u9pjZs2MDQoUP5448/2LZtG5GRkfTo0YOkpKRbHLlQWV3rNXVefHw8zz//PB07drxFkQq3i2u9pmw2G/fccw/x8fEsW7aMY8eOMWfOHCIiIm5x5EJlda3X1KJFi5g8eTJTpkzhyJEjzJ07l2+//ZaXX375FkcuVEaFhYU0adKEWbNmXVX506dP07t3b+6++2727dvHs88+y5gxY/jll19ucqTXSRZuulatWslPP/20573T6ZTDw8Plt956q8zygwYNknv37l1iWevWreUnn3zypsYp3D6u9Zq6lMPhkH18fOT58+ffrBCF28z1XFMOh0Nu166d/MUXX8gjR46UH3jggVsQqXC7uNZr6tNPP5Vr1Kgh22y2WxWicJu51mvq6aeflrt27Vpi2cSJE+X27dvf1DiF2w8gr1ix4rJlXnzxRblBgwYllg0ePFju2bPnTYzs+omavJvMZrOxe/duunfv7lmmUCjo3r0727ZtK3Obbdu2lSgP0LNnz3LLC3eW67mmLlVUVITdbsff3/9mhSncRq73mvrf//5HcHAwjz322K0IU7iNXM819cMPP9C2bVuefvppQkJCaNiwIW+++SZOp/NWhS1UYtdzTbVr147du3d7mnTGxcWxZs0aevXqdUtiFqqW2+3+XFXRAVR1mZmZOJ1OQkJCSiwPCQnh6NGjZW6TmppaZvnU1NSbFqdw+7iea+pS//73vwkPDy/1y0q4M13PNbVlyxbmzp3Lvn37bkGEwu3meq6puLg4fv/9d4YNG8aaNWs4efIkTz31FHa7nSlTptyKsIVK7HquqYcffpjMzEw6dOiALMs4HA7Gjh0rmmsK16W8+/P8/HyKi4vx8vKqoMjKJmryBOEOM336dJYsWcKKFSvQ6XQVHY5wGyooKGDEiBHMmTOHwMDAig5HqCJcLhfBwcF8/vnn3HXXXQwePJhXXnmF2bNnV3Rowm1qw4YNvPnmm3zyySfs2bOH77//np9++onXX3+9okMThJtO1OTdZIGBgSiVStLS0kosT0tLIzQ0tMxtQkNDr6m8cGe5nmvqvBkzZjB9+nR+++03GjdufDPDFG4j13pNnTp1ivj4ePr27etZ5nK5AFCpVBw7doyaNWve3KCFSu16fk+FhYWhVqtRKpWeZfXq1SM1NRWbzYZGo7mpMQuV2/VcU6+99hojRoxgzJgxADRq1IjCwkKeeOIJXnnlFRQKUdchXL3y7s+NRmOlq8UDUZN302k0Gu666y7Wr1/vWeZyuVi/fj1t27Ytc5u2bduWKA+wbt26cssLd5bruaYA3nnnHV5//XXWrl1LixYtbkWowm3iWq+punXrcuDAAfbt2+f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      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== FINAL TEST RESULTS ===\n",
      "Test accuracy: 0.6852\n",
      "\n",
      "Test Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.66      0.36      0.47    377220\n",
      "  Analytics & Telemetry       0.70      0.43      0.53     35297\n",
      "              Antivirus       0.90      0.72      0.80    120537\n",
      "Authentication services       0.74      0.53      0.62    145222\n",
      "           Blogs & News       0.61      0.34      0.44     21033\n",
      "             E-commerce       0.56      0.31      0.40     40984\n",
      "           File sharing       0.84      0.56      0.67     73685\n",
      "                  Games       0.74      0.44      0.55     36482\n",
      "    Information systems       0.39      0.24      0.30     13874\n",
      "      Instant messaging       0.80      0.53      0.64    148530\n",
      "                   Mail       0.88      0.90      0.89     64226\n",
      "                  Music       0.79      0.66      0.72    146596\n",
      "Other services and APIs       0.65      0.82      0.72   1019297\n",
      "                 Search       0.80      0.53      0.64    273102\n",
      "                 Social       0.68      0.70      0.69    547485\n",
      "        Streaming media       0.66      0.80      0.73    934513\n",
      "      Videoconferencing       0.24      0.31      0.27      1917\n",
      "\n",
      "               accuracy                           0.69   4000000\n",
      "              macro avg       0.68      0.54      0.59   4000000\n",
      "           weighted avg       0.69      0.69      0.68   4000000\n",
      "\n",
      "\n",
      "=== CONFUSION MATRIX ===\n"
     ]
    },
    {
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t^!!o.segmentsIntersect(l,h,l+1e6,h+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(f,p,l,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+f+\",\"+p+\"L\"+l+\",\"+h).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(g(Z,H,e),k.annotationPosition&&Z.node().parentNode&&!a){var W=l,Y=h;if(e.standoff){var X=Math.sqrt(Math.pow(l-f,2)+Math.pow(h-p,2));W+=e.standoff*(f-l)/X,Y+=e.standoff*(p-h)/X}var $,J,K=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-W)+\",\"+(p-Y),transform:s(W,Y)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:K.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);$=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w($,J),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",v(y,t,\"x\",T,e)),S(\"y\",v(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",v(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",v(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),z.attr({transform:\"rotate(\"+I+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),O&&d.init({element:R.node(),gd:t,prepFn:function(){kt=z.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",v(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",v(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=v(y,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=v(x,r,\"y\",T,e);else{var u=e._ysize/T.h,h=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(h-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}z.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Z(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},23768:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(11645),o=r(34809),s=o.strScale,l=o.strRotate,c=o.strTranslate;t.exports=function(t,e,r){var o,u,h,f,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),v=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,_=d.backoff*g+r.standoff,b=m.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(f=(h=Math.atan2(T,w))+Math.PI,_&&b&&_+b>Math.sqrt(w*w+T*T))return void O();if(_){if(_*_>w*w+T*T)return void O();var k=_*Math.cos(h),A=_*Math.sin(h);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(b){if(b*b>w*w+T*T)return void O();var M=b*Math.cos(h),S=b*Math.sin(h);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),C=\"\";if(E<_+b)return void O();var L=p.getPointAtLength(0),I=p.getPointAtLength(.1);h=Math.atan2(L.y-I.y,L.x-I.x),o=p.getPointAtLength(Math.min(b,E)),C=\"0px,\"+b+\"px,\";var P=p.getPointAtLength(E),z=p.getPointAtLength(E-.1);f=Math.atan2(P.y-z.y,P.x-z.x),u=p.getPointAtLength(Math.max(0,E-_)),C+=E-(C?b+_:_)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",C)}function O(){t.style(\"stroke-dasharray\",\"0px,100px\")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}v&&D(m,o,h,y),x&&D(d,u,f,g)}},3599:function(t,e,r){\"use strict\";var n=r(3377),i=r(6035);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50222),supplyLayoutDefaults:r(63737),includeBasePlot:r(20706)(\"annotations\"),calcAutorange:r(60317),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(59741)}},38239:function(t,e,r){\"use strict\";var n=r(50222),i=r(13582).overrideAll,a=r(78032).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},47979:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},34232:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714),a=r(59008),o=r(53271),s=r(38239);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),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\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},9756:function(t,e,r){\"use strict\";var n=r(3377).drawRaw,i=r(25802),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=a[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=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},83348:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(38239)}}},layoutAttributes:r(38239),handleDefaults:r(34232),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(47979),draw:r(9756)}},37177:function(t,e,r){\"use 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`\"+t+\"` date data.\"}var g={xcalendar:d(m(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(m(\"y\"))}),v=i.extendFlat({},y,{zcalendar:d(m(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. 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i=0;i<r.length;i++)c(t,e,r[i]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:p,worldCalFmt:function(t,e,r){for(var 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c.coerce(a,s,_,t,e)}return v(a,s,u,l,n),x(a,s,u,l),s}(r,e,q);lt.position=J+(o?z+I/B.w:O+P/B.h);var ct=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ct&&(lt.title.side=V,lt.titlex=z+I/B.w,lt.titley=ot+(\"top\"===U.side?Q-P/B.h:P/B.h)),o||ct||(lt.title.side=V,lt.titley=O+P/B.h,lt.titlex=ot+I/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=Z.start;var ut=Z.size,ht=c.constrain(K/50,4,15)+1,ft=(q[1]-q[0])/((e.nticks||ht)*ut);if(ft>1){var pt=Math.pow(10,Math.floor(Math.log(ft)/Math.LN10));ut*=pt*c.roundUp(ft/pt,[2,5,10]),(Math.abs(Z.start)/Z.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ut}lt.domain=o?[ot+P/B.h,ot+Q-P/B.h]:[ot+I/B.w,ot+Q-I/B.w],lt.setScale(),t.attr(\"transform\",u(Math.round(B.l),Math.round(B.t)));var dt,mt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,vt=t.select(\".\"+A.cbaxis),xt=0,_t=0;function bt(n,i){var 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e?e.ypx:J[0]._length/2;if(e.pointerX=_t+$[0]._offset,e.pointerY=bt+J[0]._offset,nt=\"xval\"in e?x.flat(_,e.xval):x.p2c($,_t),it=\"yval\"in e?x.flat(_,e.yval):x.p2c(J,bt),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),m.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&!0===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ht=S,x.isUnifiedHover(ht)&&(ht=ht.charAt(0)),\"splom\"===lt.type?ct=_[ut=0]:(ct=x.getSubplot(lt),ut=_.indexOf(ct)),dt={cd:st,trace:lt,xa:$[ut],ya:J[ut],maxHoverDistance:et,maxSpikeDistance:rt,index:!1,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[ct]&&(dt.subplot=b[ct]._subplot),b._splomScenes&&b._splomScenes[lt.uid]&&(dt.scene=b._splomScenes[lt.uid]),\"array\"===ht){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ht=\"closest\"):(ht=\"\",\"xval\"in a&&(ft=a.xval,ht=\"x\"),\"yval\"in a&&(pt=a.yval,ht=ht?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,pt=n):(ft=nt[ut],pt=it[ut]);if(mt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ft,pt,ht,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,c=0;c<s.length;c++)l=s[c],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>mt&&(gt.splice(0,mt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var u=lt._module.hoverPoints(dt,ft,pt,\"closest\",{hoverLayer:b._hoverlayer});if(u&&(u=u.filter((function(t){return t.spikeDistance<=rt}))),u&&u.length){var h,f=u.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(f.length){var p=f[0];i(p.x0)&&i(p.y0)&&(h=Et(p),(!vt.vLinePoint||vt.vLinePoint.spikeDistance>h.spikeDistance)&&(vt.vLinePoint=h))}var m=u.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var g=m[0];i(g.x0)&&i(g.y0)&&(h=Et(g),(!vt.hLinePoint||vt.hLinePoint.spikeDistance>h.spikeDistance)&&(vt.hLinePoint=h))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)h&&h._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Ct={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,It={vLinePoint:vt.vLinePoint,hLinePoint:vt.hLinePoint};t._spikepoints=It;var Pt=function(){var t=gt.filter((function(t){return h&&h._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(h&&h._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];v.traceIs(s.trace,\"bar-like\")||v.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var zt=S.charAt(0),Ot=(\"x\"===zt||\"y\"===zt)&&gt[0]&&I[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var Dt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Ot);vt.hLinePoint=Et(Dt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Ot);vt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=m.unhoverRaw(t,e);return!M||null===vt.hLinePoint&&null===vt.vLinePoint||U(Lt)&&j(t,vt,Ct),Ft}if(M&&U(Lt)&&j(t,vt,Ct),x.isXYhover(ht)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=L[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,b),q(\"y\",Bt,b));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=L[t.trace.type]?z(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t)}else qt++,Vt[e]=qt,Ut.push(t)};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt()}var Gt=t._hoverdata,Zt=[],Wt=H(t),Yt=G(t);for(at=0;at<gt.length;at++){var Xt=gt[at],$t=x.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Jt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Jt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Jt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Kt=Xt.x0+Xt.xa._offset,Qt=Xt.x1+Xt.xa._offset,te=Xt.y0+Xt.ya._offset,ee=Xt.y1+Xt.ya._offset,re=Math.min(Kt,Qt),ne=Math.max(Kt,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);$t.bbox={x0:re+Yt,x1:ne+Yt,y0:ie+Wt,y1:ae+Wt}}Xt.eventData=[$t],Zt.push($t)}t._hoverdata=Zt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),le=D(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),ce=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,c,u,h=e?\"xa\":\"ya\",f=e?\"ya\":\"xa\",p=0,d=1,m=t.size(),g=new Array(m),y=0,v=n.minX,x=n.maxX,_=n.minY,b=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(c=t[s]).pos+c.dp+c.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos>e.pmax-1&&(c.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((c=t[s]).pos<e.pmin+1)for(c.del=!0,n--,o=2*c.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos+c.dp+c.size>e.pmax&&(c.del=!0,n--)}}}for(t.each((function(t){var n=t[h],i=t[f],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var c,u,p=F(t,e),m=t.anchor,k=\"end\"===m?-1:1;if(\"middle\"===m)u=(c=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)u=(c=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else{var M=w(k*E+p.x),S=M+w(k*t.bx);c=t.crossPos+Math.min(M,S),u=t.crossPos+Math.max(M,S)}a?void 0!==_&&void 0!==b&&Math.min(u,b)-Math.max(c,_)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==v&&void 0!==x&&Math.min(u,x)-Math.max(c,v)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=m;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],C=M[M.length-1],L=S[0];if((a=C.pos+C.dp+C.size-L.pos-L.dp+L.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),u=0,l=M.length-1;l>=0;l--)u+=M[l].dp;for(o=u/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(k)}for(s=g.length-1;s>=0;s--){var I=g[s];for(l=I.length-1;l>=0;l--){var P=I[l],z=P.datum;z.offset=P.dp,z.del=P.del}}}(ce,oe,b,le.commonLabelBoundingBox),B(ce,oe,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=v.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Zt);f(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:$,yaxes:J,xvals:nt,yvals:it}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=H(i),o=G(i),s=D(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),h=Math.max(r,n),f=Math.min(s,l),p=Math.max(s,l),m=t.trace;if(v.traceIs(m,\"gl3d\")){var g=i._fullLayout[m.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;u+=y,h+=y,f+=x,p+=x}c.bbox={x0:u+o,x1:h+o,y0:f+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var O=/<extra>([\\s\\S]*)<\\/extra>/;function D(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,f=e.container,m=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||_.HOVERFONT,k=e.fontSize||_.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,L=e.fontTextcase||i.font.textcase,I=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,O=t[0],D=O.xa,F=O.ya,B=a.charAt(0),N=B+\"Label\",j=O[N];if(void 0===j&&\"multicategory\"===D.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=Z(r,m),q=V.top,H=V.width,G=V.height,W=void 0!==j&&O.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(W){var Y,X,$=!0;for(Y=0;Y<t.length;Y++)if($&&void 0===t[Y].zLabel&&($=!1),X=t[Y].hoverinfo||t[Y].trace.hoverinfo){var J=Array.isArray(X)?X:X.split(\"+\");if(-1===J.indexOf(\"all\")&&-1===J.indexOf(a)){W=!1;break}}$&&(W=!1)}var K=f.selectAll(\"g.axistext\").data(W?[0]:[]);K.enter().append(\"g\").classed(\"axistext\",!0),K.exit().remove();var Q={minX:0,maxX:0,minY:0,maxY:0};if(K.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=g.bgcolor||d.defaultLine,u=g.bordercolor||d.contrast(c),f=d.contrast(c),m=g.font,v={weight:m.weight||A,style:m.style||M,variant:m.variant||S,textcase:m.textcase||L,lineposition:m.lineposition||I,shadow:m.shadow||P,family:m.family||y,size:m.size||k,color:m.color||f};e.style({fill:c,stroke:u}),s.text(j).call(p.font,v).call(h.positionText,0,0).call(h.convertToTspans,r),t.attr(\"transform\",\"\");var x,_,b=Z(r,s.node());if(\"x\"===a){var w=\"top\"===D.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(h.positionText,0,\"top\"===D.side?q-b.bottom-E-C:q-b.top+E+C),x=D._offset+(O.x0+O.x1)/2,_=F._offset+(\"top\"===D.side?0:F._length);var T=b.width/2+C,z=x;x<T?z=T:x>i.width-T&&(z=i.width-T),e.attr(\"d\",\"M\"+(x-z)+\",0L\"+(x-z+E)+\",\"+w+E+\"H\"+T+\"v\"+w+(2*C+b.height)+\"H\"+-T+\"V\"+w+E+\"H\"+(x-z-E)+\"Z\"),x=z,Q.minX=x-T,Q.maxX=x+T,\"top\"===D.side?(Q.minY=_-(2*C+b.height),Q.maxY=_-C):(Q.minY=_+C,Q.maxY=_+(2*C+b.height))}else{var R,B,N;\"right\"===F.side?(R=\"start\",B=1,N=\"\",x=D._offset+D._length):(R=\"end\",B=-1,N=\"-\",x=D._offset),_=F._offset+(O.y0+O.y1)/2,s.attr(\"text-anchor\",R),e.attr(\"d\",\"M0,0L\"+N+E+\",\"+E+\"V\"+(C+b.height/2)+\"h\"+N+(2*C+b.width)+\"V-\"+(C+b.height/2)+\"H\"+N+E+\"V-\"+E+\"Z\"),Q.minY=_-(C+b.height/2),Q.maxY=_+(C+b.height/2),\"right\"===F.side?(Q.minX=x+E,Q.maxX=x+E+(2*C+b.width)):(Q.minX=x-E-(2*C+b.width),Q.maxX=x-E);var U,V=b.height/2,H=q-b.top-V,G=\"clip\"+i._uid+\"commonlabel\"+F._id;if(x<b.width+2*C+E){U=\"M-\"+(E+C)+\"-\"+V+\"h-\"+(b.width-C)+\"V\"+V+\"h\"+(b.width-C)+\"Z\";var W=b.width-x+C;h.positionText(s,W,H),\"end\"===R&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=Z(r,e.node());Math.round(i.width)<Math.round(b.width)&&t.attr(\"x\",W-i.width),e.remove()}))}else h.positionText(s,B*(C+E),H),U=null;var Y=i._topclips.selectAll(\"#\"+G).data(U?[0]:[]);Y.enter().append(\"clipPath\").attr(\"id\",G).append(\"path\"),Y.exit().remove(),Y.select(\"path\").attr(\"d\",U),p.setClipUrl(s,U?G:null,r)}t.attr(\"transform\",l(x,_))})),x.isUnifiedHover(a)){f.selectAll(\"g.hovertext\").remove();var tt=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===tt.length)return[];var et=i.hoverlabel,rt=et.font,nt={showlegend:!0,legend:{title:{text:j,font:rt},font:rt,bgcolor:et.bgcolor,bordercolor:et.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},it={font:rt};b(nt,it,r._fullData);var at=it.legend;at.entries=[];for(var ot=0;ot<tt.length;ot++){var st=tt[ot];if(\"none\"!==st.hoverinfo){var lt=R(st,!0,a,i,j),ct=lt[0],ut=lt[1];st.name=ut,st.text=\"\"!==ut?ut+\" : \"+ct:ct;var ht=st.cd[st.index];ht&&(ht.mc&&(st.mc=ht.mc),ht.mcc&&(st.mc=ht.mcc),ht.mlc&&(st.mlc=ht.mlc),ht.mlcc&&(st.mlc=ht.mlcc),ht.mlw&&(st.mlw=ht.mlw),ht.mrc&&(st.mrc=ht.mrc),ht.dir&&(st.dir=ht.dir)),st._distinct=!0,at.entries.push([st])}}at.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),at.layer=f,at._inHover=!0,at._groupTitleFont=et.grouptitlefont,w(r,at);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function j(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,h=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),h||u){var f=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,y,v=e.hLinePoint;n=v&&v.xa,\"cursor\"===(i=v&&v.ya).spikesnap?(m=c.pointerX,y=c.pointerY):(m=n._offset+v.x,y=i._offset+v.y);var x,_,b=a.readability(v.color,f)<1.5?d.contrast(f):v.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||b,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,_=m),-1!==w.indexOf(\"across\")){var 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n=r(80337),i=r(10229);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=f.title;f._titleWidth=0,f._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(c.font,H.font).text(H.text),C(V,q,t,f,b)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(u.fill,p.scrollBarColor)})),Z=q.selectAll(\"g.groups\").data(S);Z.enter().append(\"g\").attr(\"class\",\"groups\"),Z.exit().remove();var W=Z.selectAll(\"g.traces\").data(i.identity);W.enter().append(\"g\").attr(\"class\",\"traces\"),W.exit().remove(),W.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,f)})).call(x,t,f).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=P(i);i||(i=a[o]);var 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P=S,z=E;S=k?i.constrain(S,0,d.width-f._width):P,E=M?i.constrain(E,0,d.height-f._effHeight):z,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==z&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}c.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||f._height<=f._maxHeight||t._context.staticPlot){var O=f._effHeight;T&&(O=f._height),U.attr({width:f._width-b,height:O-b,x:b/2,y:b/2}),c.setTranslate(q,0,0),j.select(\"rect\").attr({width:f._width-2*b,height:O-2*b,x:b,y:b}),c.setClipUrl(q,r,t),c.setRect(G,0,0,0,0),delete f._scrollY}else{var D,R,F,B=Math.max(p.scrollBarMinHeight,f._effHeight*f._effHeight/f._height),Z=f._effHeight-B-2*p.scrollBarMargin,W=f._height-f._effHeight,Y=Z/W,X=Math.min(f._scrollY||0,W);U.attr({width:f._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:f._effHeight-b,x:b/2,y:b/2}),j.select(\"rect\").attr({width:f._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:f._effHeight-2*b,x:b,y:b+X}),c.setClipUrl(q,r,t),K(X,B,Y),N.on(\"wheel\",(function(){K(X=i.constrain(f._scrollY+n.event.deltaY/Z*W,0,W),B,Y),0!==X&&X!==W&&n.event.preventDefault()}));var $=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;D=\"touchstart\"===t.type?t.changedTouches[0].clientY:t.clientY,F=X})).on(\"drag\",(function(){var t=n.event.sourceEvent;2===t.buttons||t.ctrlKey||(R=\"touchmove\"===t.type?t.changedTouches[0].clientY:t.clientY,X=function(t,e,r){var n=(r-e)/Y+t;return i.constrain(n,0,W)}(F,D,R),K(X,B,Y))}));G.call($);var J=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=X)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,X=function(t,e,r){var n=(e-r)/Y+t;return i.constrain(n,0,W)}(F,D,R),K(X,B,Y))}));q.call(J)}function K(e,r,n){f._scrollY=t._fullLayout[w]._scrollY=e,c.setTranslate(q,0,-e),c.setRect(G,f._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",b+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(t){if(t.target!==G.node()){var e=c.getTranslate(N);v=e.x,x=e.y}},moveFn:function(t,r){if(void 0!==v&&void 0!==x){var n=v+t,i=x+r;c.setTranslate(N,n,i),e=l.align(n,f._width,_.l,_.l+_.w,f.xanchor),u=l.align(i+f._height,-f._height,_.t+_.h,_.t,f.yanchor)}},doneFn:function(){if(void 0!==e&&void 0!==u){var r={};r[w+\".x\"]=e,r[w+\".y\"]=u,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var c=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===c)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&f(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==c&&f(r,t,n))}function M(t,e,r){var n,a,s=P(r),l=t.data()[0][0],u=l.trace,f=o.traceIs(u,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!f,m=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=f?l.label:u.name,u._meta&&(n=i.templateString(n,u._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(c.font,a).text(d?S(n,m):n);var y=r.indentation+r.itemwidth+2*p.itemGap;h.positionText(g,y,0),d?g.call(h.makeEditable,{gd:e,text:n}).call(C,t,e,r).on(\"edit\",(function(n){this.text(S(n,m)).call(C,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var c=o.getTransformIndices(a,\"groupby\"),h=c[c.length-1],f=i.keyedContainer(a,\"transforms[\"+h+\"].styles\",\"target\",\"value.name\");f.set(l.trace._group,n),s=f.constructUpdate()}else 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a=t.select(\"g[class*=math-group]\"),o=a.node(),s=P(r);r||(r=e._fullLayout[s]);var l,u,f=r.borderwidth,d=(n===b?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*m;if(o){var g=c.bBox(o);l=g.height,u=g.width,n===b?c.setTranslate(a,f,f+.75*l):c.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===b?\"title\":\"\")+\"text\",v=t.select(y),x=h.lineCount(v),_=v.node();if(l=d*x,u=_?c.bBox(_).width:0,n===b)\"left\"===r.title.side&&(u+=2*p.itemGap),h.positionText(v,f+p.titlePad,f+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,u-=r.indentation+r.itemwidth),h.positionText(v,w,-d*((x-1)/2-.3))}}n===b?(r._titleWidth=u,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=u)}else t.remove()}(e,r,n,i)}))}function L(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function I(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function P(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},851:function(t,e,r){\"use strict\";var n=r(33626),i=r(57599);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),c=i.isReversed(e),u={},h=[],f=!1,p={},d=0,m=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===h.indexOf(n)?(h.push(n),f=!0,u[n]=[a]):u[n].push(a);else{var o=\"~~i\"+d;h.push(o),u[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],v=y[0],x=v.trace,_=x.legend,b=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[b]||(p[b]={}),o=0;o<y.length;o++){var w=y[o].label;p[b][w]||(g(_,b,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[b][w]=!0,m=Math.max(m,(w||\"\").length))}else g(_,b,v),m=Math.max(m,(x.name||\"\").length)}if(!h.length)return[];var T=!f||!l,k=[];for(a=0;a<h.length;a++){var A=u[h[a]];T?k.push(A[0]):k.push(A)}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var S=k[a][o].trace.legendrank;M>S&&(M=S)}k[a][0]._groupMinRank=M,k[a][0]._preGroupSort=a}var E=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(k.forEach((function(t,e){t[0]._preGroupSort=e})),k.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),a=0;a<k.length;a++){k[a].forEach((function(t,e){t._preSort=e})),k[a].sort(E);var C=k[a][0].trace,L=null;for(o=0;o<k[a].length;o++){var I=k[a][o].trace.legendgrouptitle;if(I&&I.text){L=I,s&&(I.font=e._groupTitleFont);break}}if(c&&k[a].reverse(),L){var P=!1;for(o=0;o<k[a].length;o++)if(n.traceIs(k[a][o].trace,\"pie-like\")){P=!0;break}k[a].unshift({i:-1,groupTitle:L,noClick:P,trace:{showlegend:C.showlegend,legendgroup:C.legendgroup,visible:\"toggleitem\"===e.groupclick||C.visible}})}for(o=0;o<k[a].length;o++)k[a][o]=[k[a][o]]}return e._lgroupsLength=k.length,e._maxNameLength=m,k}},22165:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=i.pushUnique,o=!0;t.exports=function(t,e,r){var s=e._fullLayout;if(!e._dragged&&!e._editing){var l,c=s.legend.itemclick,u=s.legend.itemdoubleclick,h=s.legend.groupclick;if(1===r&&\"toggle\"===c&&\"toggleothers\"===u&&o&&e.data&&e._context.showTips?(i.notifier(i._(e,\"Double-click on legend to isolate one trace\"),\"long\"),o=!1):o=!1,1===r?l=c:2===r&&(l=u),l){var f=\"togglegroup\"===h,p=s.hiddenlabels?s.hiddenlabels.slice():[],d=t.data()[0][0];if(!d.groupTitle||!d.noClick){var m=e._fullData,g=(s.shapes||[]).filter((function(t){return 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),h(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),b(t,\"geo\"),b(t,\"mapbox\"),b(t,\"map\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){b(t,\"mapbox\")}},u.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(t){return c(t,\"Reset 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n=r(5832),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},17683:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(78032),o=r(50308);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},95433:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(50308),supplyLayoutDefaults:r(17683),manage:r(75442)}},75442:function(t,e,r){\"use strict\";var n=r(5975),i=r(64726),a=r(33626),o=r(36040).isUnifiedHover,s=r(85393),l=r(5832),c=r(87632).DRAW_MODES,u=r(34809).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,h=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,p=r.modeBarButtons;f=Array.isArray(p)&&p.length?function(t){for(var e=u([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" 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e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),E=o(e.hovermode),C=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}C.push(e)}}var I=[\"toImage\"];s.showEditInChartStudio?I.push(\"editInChartStudio\"):s.showSendToCloud&&I.push(\"sendDataToCloud\"),L(I);var P=[],z=[],O=[],D=[];(m||_||v||x||b)+y+g+w+T+k+A>1?(z=[\"toggleHover\"],O=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],z=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(z=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],z=[\"toggleHover\"],O=[\"resetViewMapbox\"]):T?(P=[\"zoomInMap\",\"zoomOutMap\"],z=[\"toggleHover\"],O=[\"resetViewMap\"]):_?z=[\"hoverClosestGl2d\"]:v?z=[\"hoverClosestPie\"]:M?(z=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):z=[\"toggleHover\"],m&&z.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var 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w=\"top\";l.isBottomAnchor(r)&&(_-=f,w=\"bottom\"),l.isMiddleAnchor(r)&&(_-=f/2,w=\"middle\"),h=Math.ceil(h),f=Math.ceil(f),x=Math.round(x),_=Math.round(_),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:h*d[b],r:h*m[b],b:f*m[w],t:f*d[w]}),o.attr(\"transform\",c(x,_))}(t,f,h,o._name,r)}))}},16383:function(t,e,r){\"use strict\";var n=r(50936),i=r(34809).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},44453:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(91032)}}},layoutAttributes:r(91032),handleDefaults:r(86255),draw:r(45431)}},63608:function(t,e,r){\"use 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n=r(34809),i=r(78032),a=r(5975),o=r(63608),s=r(66249);t.exports=function(t,e,r){var l=t[r],c=e[r];if(l.rangeslider||e._requestRangeslider[c._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var u,h,f=l.rangeslider,p=i.newContainer(c,\"rangeslider\");if(b(\"visible\")){b(\"bgcolor\",e.plot_bgcolor),b(\"bordercolor\"),b(\"borderwidth\"),b(\"thickness\"),b(\"autorange\",!c.isValidRange(f.range)),b(\"range\");var d=e._subplots;if(d)for(var m=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(m,a.id2name),y=0;y<g.length;y++){var v=g[y];u=f[v]||{},h=i.newContainer(p,v,\"yaxis\");var x,_=e[v];u.range&&_.isValidRange(u.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",_.range.slice())}p._input=f}}function b(t,e){return n.coerce(f,p,o,t,e)}function w(t,e){return n.coerce(u,h,s,t,e)}}},88887:function(t,e,r){\"use strict\";var 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b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,\"rect\",m.slideBoxClassName,(function(t){t.attr({y:0,cursor:m.slideBoxCursor,\"shape-rendering\":\"crispEdges\"})})).attr({height:n._height,fill:m.slideBoxFill})}function w(t,e,r,n){var i=o.ensureSingle(t,\"g\",m.grabberMinClassName),a=o.ensureSingle(t,\"g\",m.grabberMaxClassName),s={x:0,width:m.handleWidth,rx:m.handleRadius,fill:c.background,stroke:c.defaultLine,\"stroke-width\":m.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",m.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",m.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var u={width:m.grabAreaWidth,x:0,y:0,fill:m.grabAreaFill,cursor:e._context.staticPlot?void 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),C=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+m.extraPad);a.attr(\"transform\",s(E,C)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],I=l._rl[1],P=I-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var z=r.locateBreaks(L,I);if(z.length){var O,D,R=0;for(O=0;O<z.length;O++)R+=(D=z[O]).max-D.min;var F=l._width/(I-L-R),B=[-F*L];for(O=0;O<z.length;O++)D=z[O],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<z.length;r++){var n=z[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),c=0,u=0;return\"bottom\"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}}},55429:function(t,e,r){\"use strict\";var n=r(34809),i=r(63608),a=r(66249),o=r(80400);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(63608),handleDefaults:r(41295),calcAutorange:r(46223),draw:r(88887),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},66249:function(t){\"use 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w=f(t)&&t._fullLayout._activeSelectionIndex===e;w&&(v=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,v).call(s.dashLine,k?\"solid\":b,k?4+_:_);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(c,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var C=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(f(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,h(t)}}}(t,C)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){f(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,h(t))}t.exports={draw:h,drawOne:p,activateLastSelection:function(t){if(f(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,h(t)}}}},52307:function(t,e,r){\"use strict\";var n=r(94850).T,i=r(93049).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},43028:function(t){\"use 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v,x=o(a,c,h,d),_={xref:f._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(v=x[0]),v&&5===v.length&&\"select\"===m?(_.type=\"rect\",_.x0=v[0][1],_.y0=v[0][2],_.x1=v[2][1],_.y1=v[2][2]):(_.type=\"path\",f&&p&&l(x,f,p),_.path=s(x),v=null),i(c);for(var b=e.editHelpers,w=(b||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=c._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===c._fullLayout._activeSelectionIndex){var M=_;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(_),T):b?b.getUpdateObj():{}}}}},49801:function(t,e,r){\"use strict\";var n=r(34809).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},44844:function(t,e,r){\"use strict\";var n=r(7028),i=r(88666);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(4327),supplyLayoutDefaults:r(2272),supplyDrawNewSelectionDefaults:r(43028),includeBasePlot:r(20706)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},88666:function(t,e,r){\"use strict\";var 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p=2*f*Math.PI/a;h.push([s+c*Math.cos(p),l+u*Math.sin(p)])}return h},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},87562:function(t,e,r){\"use strict\";var n=r(70414),i=n.drawMode,a=n.openMode,o=r(93391),s=o.i000,l=o.i090,c=o.i180,u=o.i270,h=o.cos45,f=o.sin45,p=r(49801),d=p.p2r,m=p.r2p,g=r(78534).clearOutline,y=r(81055),v=y.readPaths,x=y.writePaths,_=y.ellipseOver,b=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=v(p,o,y,w),C={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(C.fillcolor=g.fillcolor,C.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)C.type=\"rect\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[2][1],C.y1=n[2][2];else if(n&&\"drawline\"===r)C.type=\"line\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[1][1],C.y1=n[1][2];else if(n&&\"drawcircle\"===r){C.type=\"circle\";var L=n[s][1],I=n[l][1],P=n[c][1],z=n[u][1],O=n[s][2],D=n[l][2],R=n[c][2],F=n[u][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(L=m(y.xaxis,L),I=m(y.xaxis,I),P=m(y.xaxis,P),z=m(y.xaxis,z)),N&&(O=m(y.yaxis,O),D=m(y.yaxis,D),R=m(y.yaxis,R),F=m(y.yaxis,F));var j=(I+z)/2,U=(O+R)/2,V=_({x0:j,y0:U,x1:j+(z-I+P-L)/2*h,y1:U+(F-D+R-O)/2*f});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),C.x0=V.x0,C.y0=V.y0,C.x1=V.x1,C.y1=V.y1}else C.type=\"path\",T&&k&&b(E,T,k),C.path=x(E),n=null;return C}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var c=w(t,e,a);g(r);for(var u=e.editHelpers,h=(u||{}).modifyItem,f=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(f[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var m=c;switch(d.type){case\"line\":case\"rect\":case\"circle\":h(\"x0\",m.x0-(d.x0shift||0)),h(\"x1\",m.x1-(d.x1shift||0)),h(\"y0\",m.y0-(d.y0shift||0)),h(\"y1\",m.y1-(d.y1shift||0));break;case\"path\":h(\"path\",m.path)}}}return void 0===n?(f.push(c),f):u?u.getUpdateObj():{}}},createShapeObj:w}},78534:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},49728:function(t,e,r){\"use strict\";var n=r(2956),i=r(34809),a=r(29714);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],c=r?l:i.cleanNumber(l);a.push(c)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var c=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(c(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,c,u,h,f,p,d,m=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),v=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),_=t._fullLayout._size,b=o(v,r.x0shift),w=o(v,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(v?\"domain\"===g?l=function(t){return v._offset+v._length*t}:(s=e.shapePositionToRange(v),l=function(t){return v._offset+v.r2p(s(t,!0))}):l=function(t){return _.l+_.w*t},x?\"domain\"===y?u=function(t){return x._offset+x._length*(1-t)}:(c=e.shapePositionToRange(x),u=function(t){return x._offset+x.r2p(c(t,!0))}):u=function(t){return _.t+_.h*(1-t)},\"path\"===m)return v&&\"date\"===v.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,c=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,u=t.charAt(0),h=n.paramIsX[u],f=n.paramIsY[u],p=n.numParams[u],d=t.substr(1).replace(n.paramRE,(function(t){return h[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):f[a]&&(t=\"pixel\"===s?r(c)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),u+d}))}(r,l,u);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);h=A+r.x0+b,f=A+r.x1+w}else h=l(r.x0)+b,f=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=u(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=u(r.y0)+T,d=u(r.y1)+k;if(\"line\"===m)return\"M\"+h+\",\"+p+\"L\"+f+\",\"+d;if(\"rect\"===m)return\"M\"+h+\",\"+p+\"H\"+f+\"V\"+d+\"H\"+h+\"Z\";var S=(h+f)/2,E=(p+d)/2,C=Math.abs(S-h),L=Math.abs(E-p),I=\"A\"+C+\",\"+L,P=S+C+\",\"+E;return\"M\"+P+I+\" 0 1,1 \"+S+\",\"+(E-L)+I+\" 0 0,1 \"+P+\"Z\"}},43701:function(t,e,r){\"use strict\";var n=r(28231);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(43144),supplyLayoutDefaults:r(74367),supplyDrawNewShapeDefaults:r(85522),includeBasePlot:r(20706)(\"shapes\"),calcAutorange:r(44959),draw:n.draw,drawOne:n.drawOne}},41235:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}}},8606:function(t,e,r){\"use strict\";var n=r(80337),i=r(57891),a=r(93049).extendDeepAll,o=r(13582).overrideAll,s=r(49722),l=r(78032).templatedArray,c=r(64194),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}});t.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:a(i({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\")},64194:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},74537:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},44097:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=s.strTranslate,c=r(30635),u=r(78032).arrayEditor,h=r(64194),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR;function g(t){return h.autoMarginIdRoot+t._index}function y(t){return t._index}function v(t,e){var r=o.tester.selectAll(\"g.\"+h.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(h.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=b(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var u=e._dims={};u.inputAreaWidth=Math.max(h.railWidth,h.gripHeight);var f=t._fullLayout._size;u.lx=f.l+f.w*e.x,u.ly=f.t+f.h*(1-e.y),\"fraction\"===e.lenmode?u.outerLength=Math.round(f.w*e.len):u.outerLength=e.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-e.pad.l-e.pad.r);var p=(u.inputAreaLength-2*h.stepInset)/(e._stepCount-1),y=a+h.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(y/p)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,e.currentvalue.visible){var v=o.tester.append(\"g\");r.each((function(t){var r=x(v,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,v.remove()}u.height=u.currentValueTotalHeight+h.tickOffset+e.ticklen+h.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var _=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,_=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,_=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[_],T.r=0,T.xr=e.x+e.len*m[_]):(T.x=e.x,T.l=u.outerLength*d[_],T.r=u.outerLength*m[_]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-h.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=h.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var f=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(f=s.templateString(f,d)),u+=f}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return c.positionText(l,n,g),l}}function _(t,e,r){s.ensureSingle(t,\"rect\",h.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:h.gripWidth,height:h.gripHeight,rx:h.gripRadius,ry:h.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function b(t,e,r){var n=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",h.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+h.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(h.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(b,t,e),o.setTranslate(r,E(e,t.fraction),h.tickOffset+e.ticklen+e.font.size*p+h.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,h.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+h.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=C(t,n.mouse(i)[0]);function u(){var t=s(),a=C(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function f(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",f),o.on(\"touchend\",f)}}function M(t,e){var r=t.selectAll(\"rect.\"+h.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(h.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?h.tickOffset:h.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+h.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*h.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+h.stepInset+(r.inputAreaLength-2*h.stepInset)*Math.min(1,Math.max(0,e))}function C(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-h.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*h.stepInset-2*r.inputAreaStart)))}function L(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",h.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,h.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function I(t,e){var r=e._dims,n=r.inputAreaLength-2*h.railInset,i=s.ensureSingle(t,\"rect\",h.railRectClass);i.attr({width:n,height:h.railWidth,rx:h.railRadius,ry:h.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,h.railInset,.5*(r.inputAreaWidth-h.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[h.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+h.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(h.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+h.groupClassName).each(l)})).remove(),0!==a.length){var c=s.selectAll(\"g.\"+h.groupClassName).data(a,y);c.enter().append(\"g\").classed(h.groupClassName,!0),c.exit().each(l).remove();for(var u=0;u<a.length;u++){var f=a[u];v(t,f)}c.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(I,r).call(w,r).call(M,r).call(L,t,r).call(_,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},15359:function(t,e,r){\"use strict\";var n=r(64194);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(8606),supplyLayoutDefaults:r(74537),draw:r(44097)}},17240:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(44122),o=r(33626),s=r(34809),l=s.strTranslate,c=r(62203),u=r(78766),h=r(30635),f=r(20438),p=r(4530).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var m,g=t._fullLayout,y=r.propContainer,v=r.propName,x=r.placeholder,_=r.traceIndex,b=r.avoid||{},w=r.attributes,T=r.transform,k=r.containerGroup,A=1,M=y.title,S=(M&&M.text?M.text:\"\").trim(),E=!1,C=M&&M.font?M.font:{},L=C.family,I=C.size,P=C.color,z=C.weight,O=C.style,D=C.variant,R=C.textcase,F=C.lineposition,B=C.shadow,N=!!r.subtitlePropName,j=r.subtitlePlaceholder,U=(y.title||{}).subtitle||{text:\"\",font:{}},V=U.text.trim(),q=!1,H=1,G=U.font,Z=G.family,W=G.size,Y=G.color,X=G.weight,$=G.style,J=G.variant,K=G.textcase,Q=G.lineposition,tt=G.shadow;\"title.text\"===v?m=\"titleText\":-1!==v.indexOf(\"axis\")?m=\"axisTitleText\":v.indexOf(!0)&&(m=\"colorbarTitleText\");var et=t._context.edits[m];function rt(t,e){return void 0!==t&&void 0!==e&&t.replace(d,\" % \")===e.replace(d,\" % \")}\"\"===S?A=0:rt(S,x)&&(et||(S=\"\"),A=.2,E=!0),N&&(\"\"===V?H=0:rt(V,j)&&(et||(V=\"\"),H=.2,q=!0)),r._meta?S=s.templateString(S,r._meta):g._meta&&(S=s.templateString(S,g._meta));var nt,it=S||V||et;k||(k=s.ensureSingle(g._infolayer,\"g\",\"g-\"+e),nt=g._hColorbarMoveTitle);var at=k.selectAll(\"text.\"+e).data(it?[0]:[]);at.enter().append(\"text\"),at.text(S).attr(\"class\",e),at.exit().remove();var ot=null,st=e+\"-subtitle\",lt=V||et;if(N&&lt&&((ot=k.selectAll(\"text.\"+st).data(lt?[0]:[])).enter().append(\"text\"),ot.text(V).attr(\"class\",st),ot.exit().remove()),!it)return k;function ct(t,e){s.syncOrAsync([ut,ht],{title:t,subtitle:e})}function ut(r){var i,o=r.title,f=r.subtitle;if(!T&&nt&&(T={}),T?(i=\"\",T.rotate&&(i+=\"rotate(\"+[T.rotate,w.x,w.y]+\")\"),(T.offset||nt)&&(i+=l(0,(T.offset||0)-(nt||0)))):i=null,o.attr(\"transform\",i),o.style(\"opacity\",A*u.opacity(P)).call(c.font,{color:u.rgb(P),size:n.round(I,2),family:L,weight:z,style:O,variant:D,textcase:R,shadow:B,lineposition:F}).attr(w).call(h.convertToTspans,t,(function(t){if(t){var e=n.select(t.node().parentNode).select(\".\"+st);if(!e.empty()){var r=t.node().getBBox();if(r.height){var i=r.y+r.height+1.6*W;e.attr(\"y\",i)}}}})),f){var p=k.select(\".\"+e+\"-math-group\"),d=o.node().getBBox(),m=p.node()?p.node().getBBox():void 0,g=m?m.y+m.height+1.6*W:d.y+d.height+1.6*W,y=s.extendFlat({},w,{y:g});f.attr(\"transform\",i),f.style(\"opacity\",H*u.opacity(Y)).call(c.font,{color:u.rgb(Y),size:n.round(W,2),family:Z,weight:X,style:$,variant:J,textcase:K,shadow:tt,lineposition:Q}).attr(y).call(h.convertToTspans,t)}return a.previousPromises(t)}function ht(e){var r=e.title,a=n.select(r.node().parentNode);if(b&&b.selection&&b.side&&S){a.attr(\"transform\",null);var o=p[b.side],u=\"left\"===b.side||\"top\"===b.side?-1:1,h=i(b.pad)?b.pad:2,f=c.bBox(a.node()),d={t:0,b:0,l:0,r:0},m=t._fullLayout._reservedMargin;for(var v in m)for(var x in m[v]){var _=m[v][x];d[x]=Math.max(d[x],_)}var w={left:d.l,top:d.t,right:g.width-d.r,bottom:g.height-d.b},T=b.maxShift||u*(w[b.side]-f[b.side]),k=0;if(T<0)k=T;else{var 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pt=at.node().getBBox(),dt=pt.y+pt.height+1.6*W;ot.attr(\"y\",dt)}V?ot.on(\".opacity\",null):(ft(ot,j),q=!0),ot.call(h.makeEditable,{gd:t}).on(\"edit\",(function(e){o.call(\"_guiRelayout\",t,\"title.subtitle.text\",e)})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(ct)})).on(\"input\",(function(t){this.text(t||\" \").call(h.positionText,ot.attr(\"x\"),ot.attr(\"y\"))}))}return at.classed(\"js-placeholder\",E),ot&&ot.classed(\"js-placeholder\",q),k},SUBTITLE_PADDING_EM:1.6,SUBTITLE_PADDING_MATHJAX_EM:1.6}},85389:function(t,e,r){\"use strict\";var n=r(80337),i=r(10229),a=r(93049).extendFlat,o=r(13582).overrideAll,s=r(57891),l=r(78032).templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},71559:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},42746:function(t,e,r){\"use strict\";var n=r(34809),i=r(59008),a=r(85389),o=r(71559).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},40974:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=r(30635),c=r(78032).arrayEditor,u=r(4530).LINE_SPACING,h=r(71559),f=r(21736);function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function m(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?y(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(h.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||y(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",h.headerClassName,(function(t){t.style(\"pointer-events\",\"all\")})),l=i._dims,c=i.active,u=i.buttons[c]||h.blankHeaderOpts,f={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(v,i,u,t).call(M,i,f,p),s.ensureSingle(e,\"text\",h.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(h.arrowSymbol[i.direction])})).attr({x:l.headerWidth-h.arrowOffsetX+i.pad.l,y:l.headerHeight/2+h.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),y(t,e,r,n,i)})),a.on(\"mouseover\",(function(){a.call(w)})),a.on(\"mouseout\",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(h.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?h.dropdownButtonClassName:h.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),f=u.enter().append(\"g\").classed(c,!0),p=u.exit();\"dropdown\"===o.type?(f.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+h.gapButtonHeader:d=y.headerWidth+h.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-h.gapButtonHeader+h.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-h.gapButtonHeader+h.gapButton-y.openWidth);var _={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:h.gapButton,xPad:h.gapButton,index:0},k={l:_.x+o.borderwidth,t:_.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(v,o,s,t).call(M,o,_),c.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),c.on(\"mouseover\",(function(){c.call(w)})),c.on(\"mouseout\",(function(){c.call(T,o),u.call(b,o)}))})),u.call(b,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=_.y-k.t):(k.w=_.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\"up\"===c||\"down\"===c,f=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function v(t,e,r,n){t.call(x,e).call(_,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,(function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function _(t,e,r,n){var i=s.ensureSingle(t,\"text\",h.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function b(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.activeColor)}))}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.hoverColor)}function T(t,e){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(h.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(v,e,i,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),m=e.font.size*u,g=l.lineCount(f),y=Math.max(m*g,h.minHeight)+h.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+h.gapButton,r.openHeight+=y+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),a.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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f(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){m(t,e,e.buttons[n.index],r,a,_,n.index,!0)})),\"dropdown\"===e.type?(g(t,r,c,_,e),d(c,e)&&y(t,r,c,_,e)):y(t,r,null,null,e)}))}}},46230:function(t,e,r){\"use strict\";var n=r(71559);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(85389),supplyLayoutDefaults:r(42746),draw:r(40974)}},21736:function(t,e,r){\"use strict\";t.exports=s;var n=r(45568),i=r(78766),a=r(62203),o=r(34809);function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,m=this.position.w,g=this.position.t,y=this.position.h,v=this.position.direction,x=\"down\"===v,_=\"left\"===v,b=\"up\"===v,w=m,T=y;x||_||\"right\"===v||b||(this.position.direction=\"down\",x=!0),x||b?(h=(u=d)+w,x?(f=g,T=(p=Math.min(f+T,c))-f):T=(p=g+T)-(f=Math.max(p-T,0))):(p=(f=g)+T,_?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:T};var k=m>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>c&&(E=c-M);var C=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);C.exit().on(\".drag\",null).remove(),C.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=C.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var L=y>T,I=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,z=d+m,O=g;z+I>l&&(z=l-I);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(L?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),L?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:O,width:I,height:P}),this._vbarYMin=O+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=L?h+I+.5:h+.5,N=f-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||L?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||L?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||L){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),L&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},4530:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},35081:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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y=n/(h[2]-h[0])*(l[2]-l[0])+l[0],v=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=y,c.boxStart[1]=v,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=y,c.boxEnd[1]=v,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)<m,_=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&_)x&&(c.boxEnd[0]=c.boxStart[0]),_&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var b=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*b)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*b*(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(b)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(b))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/b*(a>=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(b)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(b)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(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]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),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]=i}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=a(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=a(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=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},10749:function(t,e,r){\"use strict\";var n=r(29714),i=r(55010);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=i(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]=i(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]=i((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]=i(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=i(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,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,h=c?\"allticks\"===a:-1!==String(a).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]=i(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=i(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=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},24585:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(27672),a=r(6704),o=r(62972),s=r(54826),l=r(37703),c=r(6811),u=r(4173).KO;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(55126),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},27672:function(t,e,r){\"use strict\";var n,i,a=r(33626),o=r(29714),s=r(32141),l=r(99098).gl_plot2d,c=r(99098).gl_spikes2d,u=r(99098).gl_select_box,h=r(22248),f=r(10749),p=r(77055),d=r(97464),m=r(84391),g=m.enforce,y=m.clean,v=r(32919).doAutoRange,x=r(70414),_=x.drawMode,b=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(54826).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())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=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=i}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);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=i;var f,p=h.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),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},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,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,i-u.r-(1-h[1])*u.w,a-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],v(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){b(t)||_(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var 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=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},y=m.pointIndex,v=s.castHoverinfo(g,i,y);if(v&&\"all\"!==v){var x=v.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,y,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},2487:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(6811),a=r(20299),o=r(4173).KO,s=r(34809),l=r(62972),c=\"gl3d\",u=\"scene\";e.name=c,e.attr=u,e.idRoot=u,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(22597),e.layoutAttributes=r(77168),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(15250),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[c],i=0;i<n.length;i++){var s=n[i],l=o(r,c,s),u=e[s],h=u.camera,f=u._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:h},e),u._scene=f),f.viewInitial||(f.viewInitial={up:{x:h.up.x,y:h.up.y,z:h.up.z},eye:{x:h.eye.x,y:h.eye.y,z:h.eye.z},center:{x:h.center.x,y:h.center.y,z:h.center.z}}),f.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[c]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),u+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},22597:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},63397:function(t,e,r){\"use strict\";var n=r(78766),i=r(25829),a=r(93049).extendFlat,o=r(13582).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},34258:function(t,e,r){\"use strict\";var n=r(65657).mix,i=r(34809),a=r(78032),o=r(63397),s=r(4392),l=r(97655),c=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var u,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.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,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,72.72727272727273).toRgbString()),f(\"title.text\",d[0]),h.setScale=i.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},95701:function(t,e,r){\"use strict\";var n=r(55010),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],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.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},15250:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(33626),o=r(4448),s=r(34258),l=r(77168),c=r(4173).KO,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),h=[\"up\",\"center\",\"eye\"],f=0;f<h.length;f++)r(\"camera.\"+h[f]+\".x\"),r(\"camera.\"+h[f]+\".y\"),r(\"camera.\"+h[f]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var m=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:m,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,v=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&v&&x?x/Math.sqrt(y*y+v*v+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:u,attributes:l,handleDefaults:h,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},77168:function(t,e,r){\"use strict\";var n=r(63397),i=r(13792).u,a=r(93049).extendFlat,o=r(34809).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},64087:function(t,e,r){\"use strict\";var n=r(55010),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},32412:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[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||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),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}}for(e.ticks=l,c=0;c<3;++c)for(o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]),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],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(29714),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},25802:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},20299:function(t,e,r){\"use strict\";var n,i,a=r(99098).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(22248),c=r(74043),u=r(33626),h=r(34809),f=h.preserveDrawingBuffer(),p=r(29714),d=r(32141),m=r(55010),g=r(97464),y=r(25802),v=r(95701),x=r(64087),_=r(32412),b=r(32919).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:f,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||f)r=!1;else{h.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{f=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){f=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!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},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,f=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(f)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var v=y(e.glplot.cameraParams,f.dataCoordinate);t=u.data;var x,b=r._fullData[t.index],T=f.index,k={xLabel:g(\"x\",f.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",f.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",f.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(b,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;b.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(f.textLabel=void 0),-1===M.indexOf(\"name\")&&(u.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",f.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",f.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",f.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=f.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):x=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:T};d.appendArrayPointValue(C,b,T),t._module.eventData&&(C=b._module.eventData(C,f,b,{},T));var L={points:[C]};if(e.fullSceneLayout.hovermode){var I=[];d.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:u.name,color:d.castHoverOption(b,T,\"bgcolor\")||u.color,borderColor:d.castHoverOption(b,T,\"bordercolor\"),fontFamily:d.castHoverOption(b,T,\"font.family\"),fontSize:d.castHoverOption(b,T,\"font.size\"),fontColor:d.castHoverOption(b,T,\"font.color\"),nameLength:d.castHoverOption(b,T,\"namelength\"),textAlign:d.castHoverOption(b,T,\"align\"),hovertemplate:h.castOption(b,T,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},C,k),eventData:[C]},{container:n,gd:r,inOut_bbox:I}),C.bbox=I[0]}f.distance<5&&(f.buttons||w)?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.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 M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],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][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,c,u=e[n.id],h=r[n.id];n.fullLayout=e,n.fullSceneLayout=u,n.axesOptions.merge(e,u),n.spikeOptions.merge(u),n.setViewport(u),n.updateFx(u.dragmode,u.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(m(u.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],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][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var p=[1,1,1];for(s=0;s<3;++s)f[1][s]===f[0][s]?p[s]=1:p[s]=1/(f[1][s]-f[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],v=[],x={};for(o=0;o<3;++o){var _;if((c=(l=u[M[o]]).type)in x?(x[c].acc*=p[o],x[c].count+=1):x[c]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,C=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-C),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+C)}for(s=0;s<T.length;s++){var L=T[s];if(L.visible){var I=l.r2l(L[k]);y[0][o]=Math.min(y[0][o],I),y[1][o]=Math.max(y[1][o],I)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var P=y[1][o]-y[0][o];y[0][o]-=P/32,y[1][o]+=P/32}if(_=[y[0][o],y[1][o]],_=b(_,l),y[0][o]=_[0],y[1][o]=_[1],l.isReversed()){var z=y[0][o];y[0][o]=y[1][o],y[1][o]=z}}else _=l.range,y[0][o]=l.r2l(_[0]),y[1][o]=l.r2l(_[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),v[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var O=u.aspectmode;if(\"cube\"===O)g=[1,1,1];else if(\"manual\"===O){var D=u.aspectratio;g=[D.x,D.y,D.z]}else{if(\"auto\"!==O&&\"data\"!==O)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[c=(l=u[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===O||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}u.aspectratio.x=h.aspectratio.x=g[0],u.aspectratio.y=h.aspectratio.y=g[1],u.aspectratio.z=h.aspectratio.z=g[2],n.glplot.setAspectratio(u.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:u.aspectratio.x,y:u.aspectratio.y,z:u.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=u.aspectmode);var B=u.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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e=t.id;if(!f[e]&&e.includes(\"-15\")){f[e]=!0;var r=new Image(15,15);r.onload=function(){h.addImage(e,r)},r.crossOrigin=\"Anonymous\",r.src=\"https://unpkg.com/maki@2.1.0/icons/\"+e+\".svg\"}})),h.setTransformRequest((function(t){return{url:t=(t=(t=t.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\")}})),h._canvas.style.left=\"0px\",h._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var p=[];p.push(new 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u,h,f={};for(u in a)f[n=a[u]]?f[n].push(u):f[n]=[u];for(n in f){var p=f[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(h=u.split(\"trace-\")[1],this.traceHash[h]&&(this.traceHash[h].below=null)):0===u.indexOf(\"layout-\")&&(h=u.split(\"layout-\")[1],this.layerList[h]&&(this.layerList[h].below=null))}};var b={choroplethmap:0,densitymap:1,scattermap:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,y.stylesMap[t]?e.style=y.stylesMap[t]:e.style=t):(e.id=y.styleValueDflt,e.style=function(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return b[t[0].trace.type]-b[e[0].trace.type]}));for(n=0;n<o.length;n++){var 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i=n._fullLayout.clickmode;i.indexOf(\"select\")>-1&&g(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=function(t,r){r.isRect?(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]:(t.lassoPoints={})[e.id]=r.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off(\"click\",e.onClickInPanHandler),f(o)||h(o)?(r.dragPan.disable(),r.on(\"zoomstart\",e.clearOutline),e.dragOptions.prepFn=function(t,r,n){p(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",e.clearOutline),e.div.onmousedown=null,e.div.ontouchstart=null,e.div.removeEventListener(\"touchstart\",e.div._ontouchstart),e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on(\"click\",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+\"px\",n.height=r.h*(e.y[1]-e.y[0])+\"px\",n.left=r.l+e.x[0]*r.w+\"px\",n.top=r.t+(1-e.y[1])*r.h+\"px\",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(v(this,e,r[e]))}else for(e=0;e<r.length;e++)n[e].update(r[e])},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n])},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if(\"string\"==typeof e){if(\"\"===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn([\"Trying to add layer with *below* value\",e,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(t)},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=parseInt(n.style.width),a=parseInt(n.style.height);return{center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[e+\".\"+a]=t[a]}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+\"._derived\"]=t._derived,r},t.exports=x},44245:function(t,e,r){\"use strict\";var n=r(62994),i=\"1.13.4\",a='© <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',o=['© <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',a].join(\" \"),s=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" 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e,r,s=this,c=s.isSmith,u=s.gd,h=s.layers,f=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,C=s.sectorInRad,L=s.vangles,I=s.radialAxis,P=E.clampTiny,z=E.findXYatLength,O=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(h,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){v.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||y.unhover(u,t)};var B,N,j,U,V,q,H,G,Z,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function Y(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return Y(t-A,e-M)}function $(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*D);var 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z,O,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,v,v),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&f<h,{transform:l(_,b)}),N.prepFn=function(){z=null,O=null,D=null,N.moveFn=j,N.doneFn=q,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(z)z(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(z=s<.5?H:G)}var l={};!function(t){null!==O?t[i.id+\".radialaxis.angle\"]=O:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function q(){null!==O?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",O):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=_+t,a=b+e;O=Math.atan2(d-a,n-p),i.vangles&&(O=U(O,i.vangles)),O=F(O);var o=l(p,d)+s(-O);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.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&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],v=d.y[1]-d.y[0],x=y*e.w,_=v*e.h,b=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*_?i=(a=_)*E:a=(i=x)/E,o=y*i/x,l=v*a/_,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=b,p.xaxis={type:\"linear\",range:[w+2*k-b,b-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},h(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,b-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},h(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=f({},t.aaxis,{range:[w,b-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=f({},t.baxis,{range:[b-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});h(S,p.graphDiv._fullLayout),S.setScale();var C=p.caxis=f({},t.caxis,{range:[b-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(C,p.graphDiv._fullLayout),C.setScale();var L=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",L),p.layers.plotbg.select(\"path\").attr(\"d\",L);var I=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",I);var P=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-C._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var c=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),u=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=_.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-c,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=_.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-u,y:e.y0+e.h+.83*o.title.font.size+u,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=_.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+u,y:e.y0+e.h+.83*s.title.font.size+u,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],c=a+\"tickLayout\",u=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[c]!==u&&(l.selectAll(\".\"+s+\"tick\").remove(),r[c]=u),t.setScale();var h=d.calcTicks(t),f=d.clipEnds(t,h),p=d.makeTransTickFn(t),m=d.getTickSigns(t)[2],g=o.deg2rad(30),y=m*(t.linewidth||1)/2,v=m*t.ticklen,x=r.w,_=r.h,b=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+y+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,w={a:\"M0,0l\"+_+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+_,c:\"M0,0l-\"+_+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?f:h,layer:l,path:b,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:f,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:h,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var C=A.MINZOOM/2+.87,L=\"m-0.87,.5h\"+C+\"v3h-\"+(C+5.2)+\"l\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l2.6,1.5l-\"+C/2+\",\"+.87*C+\"Z\",I=\"m0.87,.5h-\"+C+\"v3h\"+(C+5.2)+\"l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-2.6,1.5l\"+C/2+\",\"+.87*C+\"Z\",P=\"m0,1l\"+C/2+\",\"+.87*C+\"l2.6,-1.5l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-\"+(C/2+2.6)+\",\"+(.87*C+4.5)+\"l2.6,1.5l\"+C/2+\",-\"+.87*C+\"Z\",z=!0;function O(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,h,f,p,d,y,_,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),C=M.graphDiv,D=C._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=C._fullLayout.clickmode;O(C),2===t&&(C.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",C,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,C,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(C,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*M.w,g=(1-l/2-c)*M.w,v=(m+g)/2,x=g-m,b=(1-l)*M.h,w=b-x/E;x<A.MINZOOM?(p=h,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:h.a+l*f,b:h.b+c*f,c:h.c+u*f},T.attr(\"d\",y+\"M\"+m+\",\"+b+\"H\"+g+\"L\"+v+\",\"+w+\"L\"+m+\",\"+b+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+m+\",\"+b+L+\"M\"+g+\",\"+b+I+\"M\"+v+\",\"+w+P)),_||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),_=!0),C.emit(\"plotly_relayouting\",R(p))}function V(){O(C),p!==h&&(a.call(\"_guiRelayout\",C,R(p)),z&&C.data&&C._context.showTips&&(o.notifier(l(C,\"Double-click to zoom back out\"),\"long\"),z=!1))}function q(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:h.a-n,b:h.b+(r+n)/2,c:h.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.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),p={a:i[a],b:i[l],c:i[c]},e=(h.a-p.a)*M.yaxis._m,t=(h.c-p.c-h.b+p.b)*M.xaxis._m);var f=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",f);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),C.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",C,R(p))}this.dragOptions={element:S,gd:C,plotinfo:{id:M.id,domain:C._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=C._fullLayout._invScaleX,e=C._fullLayout._invScaleY;var m=M.dragOptions.dragmode=C._fullLayout.dragmode;v(m)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===m?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,C._fullLayout._calcInverseTransform(C);var u=C._fullLayout._invTransform,m=o.apply3DTransform(u)(r,n);r=m[0],n=m[1],h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,f=M.aaxis.range[1]-h.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",_=!1,T=D.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=D.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:c.background,stroke:c.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(C)}(0,l,u)):\"pan\"===m?(M.dragOptions.moveFn=q,M.dragOptions.clickFn=F,M.dragOptions.doneFn=H,h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,M.clearOutline(C)):(x(m)||v(m))&&b(a,l,u,M.dragOptions,m)}},S.onmousemove=function(t){g.hover(C,t,M.id),C._fullLayout._lasthover=S,C._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){C._dragging||m.unhover(C,t)},m.init(this.dragOptions)}},33626:function(t,e,r){\"use strict\";var n=r(48636),i=r(4969),a=r(36539),o=r(56174),s=r(95425).addStyleRule,l=r(93049),c=r(9829),u=r(6704),h=l.extendFlat,f=l.extendDeepAll;function p(t){var i=t.name,a=t.categories,o=t.meta;if(e.modules[i])n.log(\"Type \"+i+\" already registered\");else{e.subplotsRegistry[t.basePlotModule.name]||function(t){var r=t.name;if(e.subplotsRegistry[r])n.log(\"Plot type \"+r+\" already registered.\");else for(var i in y(t),e.subplotsRegistry[r]=t,e.componentsRegistry)_(i,t.name)}(t.basePlotModule);for(var l={},c=0;c<a.length;c++)l[a[c]]=!0,e.allCategories[a[c]]=!0;for(var u in e.modules[i]={_module:t,categories:l},o&&Object.keys(o).length&&(e.modules[i].meta=o),e.allTypes.push(i),e.componentsRegistry)v(u,i);t.layoutAttributes&&h(e.traceLayoutAttributes,t.layoutAttributes);var f=t.basePlotModule,p=f.name;if(\"mapbox\"===p){var d=f.constants.styleRules;for(var m in d)s(\".js-plotly-plot .plotly .mapboxgl-\"+m,d[m])}\"map\"===p&&r(96144),\"geo\"!==p&&\"mapbox\"!==p&&\"map\"!==p||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if(\"string\"!=typeof t.name)throw new Error(\"Component module *name* must be a string.\");var r=t.name;for(var n in e.componentsRegistry[r]=t,t.layoutAttributes&&(t.layoutAttributes._isLinkedToArray&&a(e.layoutArrayContainers,r),y(t)),e.modules)v(r,n);for(var i in e.subplotsRegistry)_(r,i);for(var o in e.transformsRegistry)x(r,o);t.schema&&t.schema.layout&&f(u,t.schema.layout)}function m(t){if(\"string\"!=typeof t.name)throw new Error(\"Transform module *name* must be a string.\");var r=\"Transform module \"+t.name,i=\"function\"==typeof t.transform,a=\"function\"==typeof t.calcTransform;if(!i&&!a)throw new Error(r+\" is missing a *transform* or *calcTransform* method.\");for(var s in i&&a&&n.log([r+\" has both a *transform* and *calcTransform* methods.\",\"Please note that all *transform* methods are executed\",\"before all *calcTransform* methods.\"].join(\" \")),o(t.attributes)||n.log(r+\" registered without an *attributes* object.\"),\"function\"!=typeof t.supplyDefaults&&n.log(r+\" registered without a *supplyDefaults* method.\"),e.transformsRegistry[t.name]=t,e.componentsRegistry)x(s,t.name)}function g(t){var r=t.name,n=r.split(\"-\")[0],i=t.dictionary,a=t.format,o=i&&Object.keys(i).length,s=a&&Object.keys(a).length,l=e.localeRegistry,c=l[r];if(c||(l[r]=c={}),n!==r){var u=l[n];u||(l[n]=u={}),o&&u.dictionary===c.dictionary&&(u.dictionary=i),s&&u.format===c.format&&(u.format=a)}o&&(c.dictionary=i),s&&(c.format=a)}function y(t){if(t.layoutAttributes){var r=t.layoutAttributes._arrayAttrRegexps;if(r)for(var n=0;n<r.length;n++)a(e.layoutArrayRegexes,r[n])}}function v(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.traces){var i=n.traces[r];i&&f(e.modules[r]._module.attributes,i)}}function x(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[r];i&&f(e.transformsRegistry[r].attributes,i)}}function _(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.subplots){var i=e.subplotsRegistry[r],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var 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strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}},78931:function(t,e,r){\"use strict\";var n=r(33626),i=r(29714),a=r(34809),o=r(25412),s=r(17550).validateCornerradius;t.exports=function(t,e,r){function l(r,n){return a.coerce(t,e,o,r,n)}for(var c=!1,u=!1,h=!1,f={},p=l(\"barmode\"),d=0;d<r.length;d++){var m=r[d];if(n.traceIs(m,\"bar\")&&m.visible){if(c=!0,\"group\"===p){var g=m.xaxis+m.yaxis;f[g]&&(h=!0),f[g]=!0}m.visible&&\"histogram\"===m.type&&\"category\"!==i.getFromId({_fullLayout:e},m[\"v\"===m.orientation?\"xaxis\":\"yaxis\"]).type&&(u=!0)}}if(c){\"overlay\"!==p&&l(\"barnorm\"),l(\"bargap\",u&&!h?0:.2),l(\"bargroupgap\");var y=l(\"barcornerradius\");e.barcornerradius=s(y)}else delete e.barmode}},32995:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(34809),o=r(30635),s=r(78766),l=r(62203),c=r(33626),u=r(29714).tickText,h=r(84102),f=h.recordMinTextSize,p=h.clearMinTextSize,d=r(6851),m=r(42843),g=r(56155),y=r(81481),v=y.text,x=y.textposition,_=r(36040).appendArrayPointValue,b=g.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function k(t){return(t>0)-(t<0)}function A(t,e){return t<e?1:-1}function M(t,e,r,n){var i;return!e.uniformtext.mode&&S(r)?(n&&(i=n()),t.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){i&&i()})).each(\"interrupt\",(function(){i&&i()}))):t}function S(t){return t&&t.duration>0}function E(t,e,r,n,i){return!(t<0||e<0)&&(r<=t&&n<=e||r<=e&&n<=t||(i?t>=r*(e/n):e>=n*(t/r)))}function C(t){return\"auto\"===t?0:t}function L(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function I(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor,u=\"end\"===c,h=\"start\"===c,f=((a.leftToRight||0)+1)/2,p=1-f,d=a.hasB,m=a.r,g=a.overhead,y=i.width,v=i.height,x=Math.abs(e-t),_=Math.abs(n-r),w=x>2*b&&_>2*b?b:0;x-=2*w,_-=2*w;var T=C(l);\"auto\"!==l||y<=x&&v<=_||!(y>x||v>_)||(y>_||v>x)&&y<v==x<_||(T+=90);var k,M,S=L(i,T);if(m&&m-g>b){var E=function(t,e,r,n,i,a,o,s,l){var c,u,h,f,p=Math.max(0,Math.abs(e-t)-2*b),d=Math.max(0,Math.abs(n-r)-2*b),m=a-b,g=o?m-Math.sqrt(m*m-(m-o)*(m-o)):m,y=l?2*m:s?m-o:2*g,v=l?2*m:s?2*g:m-o;return 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B=o?A(t,e):A(r,n);o?h?(z=t+B*w,D=-B*F):(z=e-B*w,D=B*F):h?(O=r+B*w,R=-B*F):(O=n-B*w,R=B*F)}return{textX:I,textY:P,targetX:z,targetY:O,anchorX:D,anchorY:R,scale:k,rotate:T}}t.exports={plot:function(t,e,r,h,g,y){var w=e.xaxis,P=e.yaxis,z=t._fullLayout,O=t._context.staticPlot;g||(g={mode:z.barmode,norm:z.barmode,gap:z.bargap,groupgap:z.bargroupgap},p(\"bar\",z));var D=a.makeTraceGroups(h,r,\"trace bars\").each((function(r){var c=n.select(this),h=r[0].trace,p=r[0].t,D=\"waterfall\"===h.type,R=\"funnel\"===h.type,F=\"histogram\"===h.type,B=\"bar\"===h.type,N=B||R,j=0;D&&h.connector.visible&&\"between\"===h.connector.mode&&(j=h.connector.line.width/2);var U=\"h\"===h.orientation,V=S(g),q=a.ensureSingle(c,\"g\",\"points\"),H=T(h),G=q.selectAll(\"g.point\").data(a.identity,H);G.enter().append(\"g\").classed(\"point\",!0),G.exit().remove(),G.each((function(c,T){var S,D,R=n.select(this),q=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return 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r,n=U?Math.abs(W-Z):Math.abs(G-H),i=U?Math.abs(G-H):Math.abs(W-Z),a=J(Math.abs(Q(K,!0)-Q(0,!0))),o=c.hasB?Math.min(n/2,i/2):Math.min(n/2,a);return r=\"%\"===e?n*(Math.min(50,t)/100):t,J(Math.max(Math.min(r,o),0))}(p.cornerradiusvalue,p.cornerradiusform):0,nt=\"M\"+H+\",\"+Z+\"V\"+W+\"H\"+G+\"V\"+Z+\"Z\",it=0;if(rt&&c.s){var at=0===k(c.s0)||k(c.s)===k(c.s0)?c.s1:c.s0;if((it=J(c.hasB?0:Math.abs(Q(K,!0)-Q(at,!0))))<rt){var ot=A(H,G),st=A(Z,W),lt=ot===-st?1:0;if(U)if(c.hasB)tt=\"M\"+(H+rt*ot)+\",\"+Z+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+H+\",\"+(Z+rt*st)+\"V\"+(W-rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(H+rt*ot)+\",\"+W+\"H\"+(G-rt*ot)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+G+\",\"+(W-rt*st)+\"V\"+(Z+rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(G-rt*ot)+\",\"+Z+\"Z\";else{var ct=(et=Math.abs(G-H)+it)<rt?rt-Math.sqrt(et*(2*rt-et)):0,ut=it>0?Math.sqrt(it*(2*rt-it)):0,ht=ot>0?Math.max:Math.min;tt=\"M\"+H+\",\"+Z+\"V\"+(W-ct*st)+\"H\"+ht(G-(rt-it)*ot,H)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" 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mt=M(a.ensureSingle(R,\"path\"),z,g,y);if(mt.style(\"vector-effect\",O?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((G-H)*(W-Z))||Y&&t._context.staticPlot?\"M0,0Z\":tt).call(l.setClipUrl,e.layerClipId,t),!z.uniformtext.mode&&V){var gt=l.makePointStyleFns(h);l.singlePointStyle(c,mt,h,gt,t)}!function(t,e,r,n,i,s,c,h,p,g,y,w,T){var k,S=e.xaxis,P=e.yaxis,z=t._fullLayout;function O(e,r,n){return a.ensureSingle(e,\"text\").text(r).attr({class:\"bartext bartext-\"+k,\"text-anchor\":\"middle\",\"data-notex\":1}).call(l.font,n).call(o.convertToTspans,t)}var D=n[0].trace,R=\"h\"===D.orientation,F=function(t,e,r,n,i){var o,s=e[0].trace;return o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,\"texttemplate\");if(!s)return\"\";var l,c,h,f,p=\"histogram\"===o.type,d=\"waterfall\"===o.type,m=\"funnel\"===o.type,g=\"h\"===o.orientation;function y(t){return u(f,f.c2l(t),!0).text}g?(l=\"y\",c=i,h=\"x\",f=n):(l=\"x\",c=n,h=\"y\",f=i);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function c(t){return u(o?r:n,+t,!0).text}var h,f,p=i.textinfo,d=t[e],m=p.split(\"+\"),g=[],y=function(t){return-1!==m.indexOf(t)};if(y(\"label\")&&g.push((f=t[e].p,u(o?n:r,f,!0).text)),y(\"text\")&&(0===(h=a.castOption(i,d.i,\"text\"))||h)&&g.push(h),s){var v=+d.rawS||d.s,x=d.v,_=x-v;y(\"initial\")&&g.push(c(_)),y(\"delta\")&&g.push(c(v)),y(\"final\")&&g.push(c(x))}if(l){y(\"value\")&&g.push(c(d.s));var b=0;y(\"percent initial\")&&b++,y(\"percent previous\")&&b++,y(\"percent total\")&&b++;var w=b>1;y(\"percent initial\")&&(h=a.formatPercent(d.begR),w&&(h+=\" of initial\"),g.push(h)),y(\"percent previous\")&&(h=a.formatPercent(d.difR),w&&(h+=\" of previous\"),g.push(h)),y(\"percent total\")&&(h=a.formatPercent(d.sumR),w&&(h+=\" of total\"),g.push(h))}return g.join(\"<br>\")}(e,r,n,i):m.getValue(s.text,r),m.coerceString(v,o)}(z,n,i,S,P);k=function(t,e){var r=m.getValue(t.textposition,e);return m.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>b;if(F&&\"none\"!==k&&(!N.isBlank&&s!==c&&h!==p||\"auto\"!==k&&\"inside\"!==k)){var q=z.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),Z=d.getOutsideTextFont(D,i,q),W=D.insidetextanchor||\"end\",Y=r.datum();R?\"log\"===S.type&&Y.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&Y.s0<=0&&(h=P.range[0]<P.range[1]?P._length:0);var X,$,J,K,Q,tt=Math.abs(c-s),et=Math.abs(p-h),rt=tt-2*b,nt=et-2*b;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",X=O(r,F,Q=a.ensureUniformFontSize(t,G)),J=($=l.bBox(X.node())).width,K=$.height;var it,at=J>0&&K>0;it=V?U?E(rt-2*g,nt,J,K,R)||E(rt,nt-2*g,J,K,R):R?E(rt-(g-y),nt,J,K,R)||E(rt,nt-2*(g-y),J,K,R):E(rt,nt-(g-y),J,K,R)||E(rt-2*(g-y),nt,J,K,R):E(rt,nt,J,K,R),at&&it?k=\"inside\":(k=\"outside\",X.remove(),X=null)}else k=\"inside\";if(!X){var ot=(X=O(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?Z:G))).attr(\"transform\");if(X.attr(\"transform\",\"\"),J=($=l.bBox(X.node())).width,K=$.height,X.attr(\"transform\",ot),J<=0||K<=0)return void X.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,h=i.height,f=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*b?b:0:f>2*b?b:0;var d=1;l&&(d=s?Math.min(1,p/h):Math.min(1,f/u));var m=C(c),g=L(i,m),y=(s?g.x:g.y)/2,v=(i.left+i.right)/2,x=(i.top+i.bottom)/2,_=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(_=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:v,textY:x,targetX:_,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:m}}(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):I(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:W,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,f(\"histogram\"===D.type?\"bar\":D.type,st,z),N.transform=st;var ct=M(X,z,w,T);a.setTransormAndDisplay(ct,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,Z,W,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(c,R.select(\"text\"),w,P,h.xcalendar,h.ycalendar)}));var Z=!1===h.cliponaxis;l.setClipUrl(c,Z?null:e.layerClipId,t)}));c.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:I}},88384:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,c=\"h\"===s.orientation,u=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var h=i[n],f=\"ct\"in h?h.ct:e(h,a,o,c,l);r.contains(f,!1,n,t)?(u.push({pointNumber:n,x:a.c2d(h.x),y:o.c2d(h.y)}),h.selected=1):h.selected=0}return u}},2880:function(t,e,r){\"use strict\";t.exports=i;var n=r(34809).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var c=s[l],u=c.p;void 0===u&&(u=c[i]),void 0!==u&&a.push(u)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var h=n(a);this.distinctPositions=h.vals,1===h.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(h.minDiff,r);var 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c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),m=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),g=!1,y=0;y<c.length;y++){o=c[y];for(var v=0;v<(o.pts||[]).length;v++){var x=m(l=o.pts[v]);x<=t.distance&&(t.distance=x,g=[y,v])}}if(!g)return!1;l=(o=c[g[0]]).pts[g[1]];var _=u.c2p(l.x,!0),b=h.c2p(l.y,!0),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(f.marker||{}).color,name:f.name,x0:_-w,x1:_+w,y0:b-w,y1:b+w,spikeDistance:t.distance,hovertemplate:f.hovertemplate});var T,k=o.orig_p,A=void 0!==k?k:o.pos;return\"h\"===f.orientation?(T=h,n.xLabelVal=l.x,n.yLabelVal=A):(T=u,n.xLabelVal=A,n.yLabelVal=l.y),n[T._id.charAt(0)+\"Spike\"]=T.c2p(o.pos,!0),s(l,f,n),n}t.exports={hoverPoints:function(t,e,r,n){var i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=c(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},53794:function(t,e,r){\"use strict\";t.exports={attributes:r(64625),layoutAttributes:r(64636),supplyDefaults:r(62294).supplyDefaults,crossTraceDefaults:r(62294).crossTraceDefaults,supplyLayoutDefaults:r(65067).supplyLayoutDefaults,calc:r(89429),crossTraceCalc:r(81606).crossTraceCalc,plot:r(95419).plot,style:r(59979).style,styleOnSelect:r(59979).styleOnSelect,hoverPoints:r(11448).hoverPoints,eventData:r(76429),selectPoints:r(72488),moduleType:\"trace\",name:\"box\",basePlotModule:r(37703),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},64636:function(t){\"use 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_=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);_.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),_.exit().remove(),_.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=h.c2l(t.pos+p,!0),a=h.l2p(e-s)+m,o=h.l2p(e+l)+m,_=f?(a+o)/2:h.l2p(e)+m,b=r.whiskerwidth,w=f?a*b+(1-b)*_:h.l2p(e-d)+m,T=f?o*b+(1-b)*_:h.l2p(e+d)+m,k=h.l2p(e-s*x)+m,A=h.l2p(e+l*x)+m,M=\"sd\"===r.sizemode,S=u.c2p(M?t.mean-t.sd:t.q1,!0),E=M?u.c2p(t.mean+t.sd,!0):u.c2p(t.q3,!0),C=i.constrain(M?u.c2p(t.mean,!0):u.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),L=void 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n=r(34809).isArray1D;t.exports=function(t,e,r){var i=r(\"x\"),a=i&&i.length,o=r(\"y\"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},92802:function(t,e,r){\"use strict\";var n=r(3208).rb,i=r(6893),a=r(87163),o=r(9829),s=r(10229).defaultLine,l=r(93049).extendFlat,c=i.marker.line;t.exports=l({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:i.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:i.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:l({},o.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},12702:function(t,e,r){\"use strict\";var 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t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(f.mockAxis,f.mockAxis.c2l(o.z),\"hover\").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(!e.hovertemplate){var n=r.hi||e.hoverinfo,o=String(r.loc),s=\"all\"===n?i.hoverinfo.flags:n.split(\"+\"),l=-1!==s.indexOf(\"name\"),c=-1!==s.indexOf(\"location\"),u=-1!==s.indexOf(\"z\"),h=-1!==s.indexOf(\"text\"),f=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&f.push(o)),u&&f.push(t.zLabel),h&&a(r,e,f),t.extraText=f.join(\"<br>\")}}(t,h,o),[t]}},58075:function(t,e,r){\"use 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d.geojson=null}if(\"geojson\"===n.fitbounds&&\"geojson-id\"===l){var y=a.computeBbox(a.getTraceGeojson(r));h=[y[0],y[2]],f=[y[1],y[3]]}var v={padded:!0};r._extremes.lon=s(n.lonaxis._ax,h,v),r._extremes.lat=s(n.lataxis._ax,f,v)},plot:function(t,e,r){var a=e.layers.backplot.select(\".choroplethlayer\");i.makeTraceGroups(a,r,\"trace choropleth\").each((function(e){var r=n.select(this).selectAll(\"path.choroplethlocation\").data(i.identity);r.enter().append(\"path\").classed(\"choroplethlocation\",!0),r.exit().remove(),l(t,e)}))}}},43727:function(t){\"use strict\";t.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},59342:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(62203),o=r(88856);function s(t,e){var 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n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},40980:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},94149:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(34770);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof u&&\"\"!==u||n.isPlainObject(u))?(s(\"featureidkey\"),e._length=Math.min(l.length,c.length),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},9419:function(t,e,r){\"use strict\";t.exports={attributes:r(34770),supplyDefaults:r(94149),colorbar:r(12431),calc:r(12702),plot:r(30316),hoverPoints:r(94125),eventData:r(38414),selectPoints:r(43727),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(\"string\"==typeof i&&0===i.indexOf(\"water\"))for(var a=n+1;a<r.length;a++)if(\"string\"==typeof(i=r[a].id)&&-1===i.indexOf(\"plotly-\"))return i}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:r(34091),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}}},30316:function(t,e,r){\"use strict\";var n=r(40980).convert,i=r(40980).convertOnSelect,a=r(8814).traceLayerPrefix;function o(t,e){this.type=\"choroplethmap\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"fill\",a+e+\"-fill\"],[\"line\",a+e+\"-line\"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t)),t[0].trace._glTrace=this},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86227:function(t,e,r){\"use strict\";var n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.exports=s({locations:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},geojson:{valType:\"any\",editType:\"calc\"},featureidkey:s({},n.featureidkey,{}),below:{valType:\"string\",editType:\"plot\"},text:n.text,hovertext:n.hovertext,marker:{line:{color:s({},n.marker.line.color,{editType:\"plot\"}),width:s({},n.marker.line.width,{editType:\"plot\"}),editType:\"calc\"},opacity:s({},n.marker.opacity,{editType:\"plot\"}),editType:\"calc\"},selected:{marker:{opacity:s({},n.selected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:s({},n.unselected.marker.opacity,{editType:\"plot\"}),editType:\"plot\"},editType:\"plot\"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},51335:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},8244:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(86227);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],_.min,0,_.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(_.max-_.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:h},c.heatmap.layout.visibility=\"visible\",c}},1892:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(17347);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},8919:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},54478:function(t,e,r){\"use strict\";var n=r(29714),i=r(18016).hoverPoints,a=r(18016).getExtraText;t.exports=function(t,e,r){var o=i(t,e,r);if(o){var 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n,i=r(81481),a=r(36640).line,o=r(9829),s=r(80712).axisHoverFormat,l=r(3208).rb,c=r(3208).ay,u=r(87948),h=r(93049).extendFlat,f=r(78766);t.exports={x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:s(\"x\"),yhoverformat:s(\"y\"),hovertext:i.hovertext,hovertemplate:l({},{keys:u.eventDataKeys}),hoverinfo:h({},o.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent 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n=r(29714),i=r(40528),a=r(43179),o=r(48861),s=r(63821).BADNUM;function l(t){return t===s?0:t}t.exports=function(t,e){var r,c,u,h,f,p,d,m,g=n.getFromId(t,e.xaxis||\"x\"),y=n.getFromId(t,e.yaxis||\"y\");\"h\"===e.orientation?(r=g.makeCalcdata(e,\"x\"),u=y.makeCalcdata(e,\"y\"),h=i(e,y,\"y\",u),f=!!e.yperiodalignment,p=\"y\"):(r=y.makeCalcdata(e,\"y\"),u=g.makeCalcdata(e,\"x\"),h=i(e,g,\"x\",u),f=!!e.xperiodalignment,p=\"x\"),c=h.vals;var v,x=Math.min(c.length,r.length),_=new Array(x);for(e._base=[],d=0;d<x;d++){r[d]<0&&(r[d]=s);var b=!1;r[d]!==s&&d+1<x&&r[d+1]!==s&&(b=!0),m=_[d]={p:c[d],s:r[d],cNext:b},e._base[d]=-.5*m.s,f&&(_[d].orig_p=u[d],_[d][p+\"End\"]=h.ends[d],_[d][p+\"Start\"]=h.starts[d]),e.ids&&(m.id=String(e.ids[d])),0===d&&(_[0].vTotal=0),_[0].vTotal+=l(m.s),m.begR=l(m.s)/l(_[0].s)}for(d=0;d<x;d++)(m=_[d]).s!==s&&(m.sumR=m.s/_[0].vTotal,m.difR=void 0!==v?m.s/v:1,v=m.s);return a(_,e),o(_,e),_}},87948:function(t){\"use 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P=h.selectAll(\"g.value-bullet\").data([u.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(_)?P.select(\"rect\").transition().duration(_.duration).ease(_.easing).each(\"end\",(function(){b&&b()})).each(\"interrupt\",(function(){b&&b()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var z=r.filter((function(){return 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n=r(71293).wrap,i=r(65477).hasColorscale,a=r(28379),o=r(48965),s=r(62203),l=r(34809),c=r(10721);function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var O=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.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\"})),k(O),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",C).on(\"mouseout\",L),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",I).on(\"drag\",P).on(\"dragend\",z)),f.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\")})),f.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(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+i,b=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];o.loneHover({trace:f,x:_-d.left+m.left,y:b-d.top+m.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:M,eventData:[{data:f._input,fullData:f,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function v(t){for(var e=[],r=O(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function _(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),h=u.parcatsViewModel,f=h.model.dimensions[u.model.dimensionInd],p=h.trace,d=c.top+c.height/2;h.dimensions.length>1&&f.displayInd===h.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,y=m/u.parcatsViewModel.model.count,v={countLabel:m,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",v.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+v.categoryLabel+\"):\",v.probabilityLabel].join(\" \"));var _=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:_,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(c),M(c,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,c):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),h=c.categoryViewModel,f=h.parcatsViewModel,p=f.model.dimensions[h.model.dimensionInd],d=f.trace,m=l.y+l.height/2;f.dimensions.length>1&&p.displayInd===f.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=h.model.categoryLabel,y=c.parcatsViewModel.model.count,v=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(v+=t.count)}));var x=h.model.count,_=0;f.pathSelection.each((function(t){t.model.color===c.color&&(_+=t.model.count)}));var b=v/y,w=v/_,T=v/x,k={countLabel:v,categoryLabel:g,probabilityLabel:b.toFixed(3)},A=[];-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:b,categorycount:x,colorcount:_,bandcolorcount:v}]}}(r,a,c):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,c)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function L(t){var e=t.parcatsViewModel;e.dragDimension||(b(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function I(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.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){a.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==f&&a.model.dragX<f.x+f.width&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function z(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=O(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var 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 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e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,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+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var 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b=y.categoryInds[_],w=i[_][b],T=a[_];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||y.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:y.color,rawColor:y.rawColor,height:g,width:k.width,count:y.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=g,E.count+=y.count}}v=\"hspline\"===t.pathShape?B(s,x,l,g,.5):B(s,x,l,g,0),f[m]={key:y.valueInds[0],model:y,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:v,parcatsViewModel:t}}t.paths=f}function j(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 i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var 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r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),_(t.parentNode),void a.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(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?_(t.parentNode,s):(s(),_(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(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=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.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\"),c.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(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]}}},79846:function(t,e,r){\"use strict\";t.exports={attributes:r(59549),supplyDefaults:r(12842),calc:r(20113),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(67207),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},67207:function(t,e,r){\"use strict\";var n=r(45568),i=r(4173).eV,a=r(58823),o=r(62972);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.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,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},20113:function(t,e,r){\"use strict\";var n=r(34809).isArrayOrTypedArray,i=r(88856),a=r(71293).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.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]]),a({lineColor:r,cscale:o})}},77911:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,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\"}}},12842:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(m)&&m.length||(e.visible=!1),f(e,m,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(u,\"labelfont\",y),n.coerceFont(u,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(u,\"rangefont\",y),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},62935:function(t,e,r){\"use strict\";var n=r(34809).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},83910:function(t,e,r){\"use strict\";var n=r(79846);n.plot=r(58823),t.exports=n},1293:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(77911).maxDimensionCount,o=r(34809),s=1e-6,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,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(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 m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var 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left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({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:\"angle\",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({},h,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},96052:function(t,e,r){\"use strict\";var n=r(44122);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},44148:function(t,e,r){\"use strict\";var n=r(10721),i=r(65657),a=r(78766),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],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={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<f;r++){var v,x,_;if(p){if(v=h[r],!n(v))continue;v=+v}else v=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var b=d[x=String(x)];void 0===b?(d[x]=a.length,(_=-1!==l.indexOf(x))||(g+=v),a.push({v:v,label:x,color:m(u[r],x),i:r,pts:[r],hidden:_})):(y=!0,(i=a[b]).v+=v,i.pts.push(r),i.hidden||(g+=v),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var h=i[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=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},46979:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(55412),o=r(13792).N,s=r(17550).handleText,l=r(34809).coercePattern;function c(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function u(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:c,handleMarkerDefaults:u,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var h=c(l(\"labels\"),l(\"values\")),f=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),f){e._length=f,u(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),m=l(\"texttemplate\");if(m||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),m||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var v=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},50568:function(t,e,r){\"use strict\";var n=r(36040).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},75067:function(t,e,r){\"use strict\";var n=r(62203),i=r(78766);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},37252:function(t,e,r){\"use strict\";var n=r(34809);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},49913:function(t,e,r){\"use strict\";t.exports={attributes:r(55412),supplyDefaults:r(46979).supplyDefaults,supplyLayoutDefaults:r(13464),layoutAttributes:r(4031),calc:r(44148).calc,crossTraceCalc:r(44148).crossTraceCalc,plot:r(35734).plot,style:r(140),styleOne:r(32891),moduleType:\"trace\",name:\"pie\",basePlotModule:r(96052),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},4031:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},13464:function(t,e,r){\"use strict\";var n=r(34809),i=r(4031);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},35734:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(32141),o=r(78766),s=r(62203),l=r(34809),c=l.strScale,u=l.strTranslate,h=r(30635),f=r(84102),p=f.recordMinTextSize,d=f.clearMinTextSize,m=r(56155).TEXTPAD,g=r(37252),y=r(50568),v=r(34809).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,h=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var f=h.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:c._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),h.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),v=r.separators,x=[];if(f&&-1!==f.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(h.hovertext||h.text,t.pts),f&&-1!==f.indexOf(\"text\")){var _=t.text;l.isValidTextValue(_)&&x.push(_)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,v),f&&-1!==f.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,v),f&&-1!==f.indexOf(\"percent\")&&x.push(t.percentLabel);var b=h.hoverlabel,w=b.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:h.hovertemplate||-1!==f.indexOf(\"name\")?h.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(h.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,h)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,h)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function _(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,c=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,u=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,h=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,f=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:c,textcase:u,lineposition:h,shadow:f}}function b(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(h.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(h||f){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(h||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||h){var v=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/v,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||f)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,_=0,b=0;b<m.length;b++){var w=m[b].scale;if(_<w&&(_=w,x=b),!d&&_>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c=t.r/(void 0===(l=t.trace.aspectratio)?1:l),u=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(u+=c,o.x-=(1+i)*c,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?u*=2:-1!==a.title.position.indexOf(\"right\")&&(u+=c,o.x+=(1+i)*c,s.tx-=t.titleBox.width/2),r=u/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(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 P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?u=(c=r.r)/i.aspectratio:c=(u=r.r)*i.aspectratio,l=(c*=(1+i.baseratio)/2)*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&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\"),d=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=g.getFirstFilled(i.text,e.pts);v(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var _=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),b=g.getFirstFilled(i.text,e.pts);(v(b)||\"\"===b)&&(_.text=b),e.text=l.texttemplateString(x,_,t._fullLayout._d3locale,_,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,f=a._size;d(\"pie\",a),b(e,t),z(e,f);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],y=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,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=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,n=O(a,s+=l*r.v/2),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var b=[[[],[]],[[],[]]],T=!1;v.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,b[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,f=n.select(this),d=f.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),f.call(x,t,e),y.pull){var v=+g.castOption(y.pull,i.pts)||0;v>0&&(c+=v*i.pxmid[0],u+=v*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=y.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+I(i.px0,i.pxmid,!0,1)+I(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+I(i.px0,i.pxmid,!1,k)+I(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=I(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+I(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(y.textposition,i.pts),L=f.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),f=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(y,i,a.font):_(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,f).call(h.convertToTspans,t);var d,v=s.bBox(r.node());if(\"outside\"===E)d=C(v,i);else if(d=w(v,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=C(v=s.bBox(r.node()),i)}var b=d.textPosAngle,k=void 0===b?i.pxmid:O(m.r,b);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,v),d.outside){var A=d.targetY;i.yLabelMin=A-v.height/2,i.yLabelMid=A,i.yLabelMax=A+v.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=f.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function I(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(h.convertToTspans,t),e=\"middle center\"===y.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}}(m):L(m,f),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,c,u,h,f,p,d,m;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,u,h,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-m;if(x*c>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(u=0;u<f.length;u++)(h=f[u])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,h.pts)||0)||((t.pxmid[1]-h.pxmid[1])*c>0?(x=h.cyFinal+o(h.px0[1],h.px1[1])-m-t.labelExtraY)*c>0&&(t.labelExtraY+=x):(y+t.labelExtraY-v)*c>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(p=h.cxFinal+a(h.px0[0],h.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:v,o=n?Math.max:Math.min,c=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),h=t[1-n][r],f=h.concat(u),d=[],p=0;p<u.length;p++)void 0!==u[p].yLabelMid&&d.push(u[p]);for(m=!1,p=0;n&&p<h.length;p++)if(void 0!==h[p].yLabelMid){m=h[p];break}for(p=0;p<d.length;p++){var _=p&&d[p-1];m&&!p&&(_=m),x(d[p],_)}}}(b,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(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\"+(a+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()}))}(v,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=f.w*(M.x[1]-M.x[0]),E=f.h*(M.y[1]-M.y[0]),I=(.5*S-m.r)/f.w,P=(.5*E-m.r)/f.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-I,xr:M.x[1]+I,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:_,positionTitleOutside:L,prerenderTitles:b,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},140:function(t,e,r){\"use strict\";var n=r(45568),i=r(32891),a=r(84102).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},32891:function(t,e,r){\"use strict\";var n=r(78766),i=r(37252).castOption,a=r(75067);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,c=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",c).call(n.stroke,l)}},36961:function(t,e,r){\"use strict\";var n=r(36640);t.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}},71593:function(t,e,r){\"use strict\";var n=r(99098).gl_pointcloud2d,i=r(34809).isArrayOrTypedArray,a=r(55010),o=r(32919).findExtremes,s=r(11539);function l(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 c=l.prototype;c.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:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},c.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=s(t,{})},c.updateFast=function(t){var e,r,n,i,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++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),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 Int32Array(e),l=0;l<e;l++)i=c[l],s=u[l],r[l]=l,n[2*l]=i,n[2*l+1]=s,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=a(t.marker.color),g=a(t.marker.border.color),y=t.opacity*t.marker.opacity;m[3]*=y,this.pointcloudOptions.color=m;var v=t.marker.blend;null===v&&(v=c.length<100||u.length<100),this.pointcloudOptions.blend=v,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,_=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=_,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var b=this.scene.xaxis,w=this.scene.yaxis,T=_/2||.5;t._extremes[b._id]=o(b,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=o(w,[d[1],d[3]],{ppad:T})},c.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new l(t,e.uid);return 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var u=0;for(T=0;T<r.targetLinks.length;T++)u+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var L=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=L[0]-d/2,A.nodes[w].x1=L[0]+d/2;var I=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=L[1]-I/2,A.nodes[w].y1=L[1]+I/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:u.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),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,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+a+\",\"+h,m=\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(h+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+f)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function C(t){t.call(E)}function L(t,e){t.call(C),e.attr(\"d\",M())}function I(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function z(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 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&&(f.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),f.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,i){!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 a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].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),L(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}_.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}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;f.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,_=r.filter((function(t){return v(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(_,g);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",z),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;f.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"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})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",z);var C=b.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);C.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=C.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),g);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(O,b,i.linkEvents),L.style(\"stroke\",(function(t){return P(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return P(t)?u.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 P(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||s||m?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var 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n=r(65477).hasColorscale,i=r(28379),a=r(64726);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},32660:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},75603:function(t,e,r){\"use strict\";var n=r(26544),i=r(24782).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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r.yLabel=c[1].toFixed(3),r}},59420:function(t,e,r){\"use strict\";var n=r(37255),i=r(34809).fillText;t.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(f,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var y=(f.hi||p.hoverinfo).split(\"+\");-1!==y.indexOf(\"all\")&&(y=[\"a\",\"b\",\"text\"]),-1!==y.indexOf(\"a\")&&v(d.aaxis,f.a),-1!==y.indexOf(\"b\")&&v(d.baxis,f.b),g.push(\"y: \"+s.yLabel),-1!==y.indexOf(\"text\")&&i(f,p,g),s.extraText=g.join(\"<br>\")}return o}function v(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},56534:function(t,e,r){\"use 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(36640),s=r(9829),l=r(87163),c=r(94850).T,u=r(93049).extendFlat,h=r(13582).overrideAll,f=o.marker,p=o.line,d=f.line;t.exports=h({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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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var A=m.SYMBOL_SDF_SIZE,M=m.SYMBOL_SIZE,S=m.SYMBOL_STROKE,E={},C=c.symbolFuncs[0](.05*M);function L(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=c.symbolNumber(a),s=c.symbolFuncs[o%100],l=!!c.symbolNoDot[o%100],u=!!c.symbolNoFill[o%100],h=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var f=c.getMarkerAngle(t,e);return r=h&&!l?s(1.1*M,f)+C:s(M,f),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:u?S:-S}),E[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=x(t,e),n.textSel=T(t,e,e.selected),n.textUnsel=T(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=b(0,e),n.markerSel=w(0,e,e.selected),n.markerUnsel=w(0,e,e.unselected),!e.unselected&&l(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(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(m.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=k(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=k(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:b,markerSelection:w,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>m.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),h=r.length/2,f={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*h),d=1/0,m=-1/0,g=0,y=0;g<h;g++,y+=4){var v=t[g];if(n(v)){var x=r[2*g+c],_=l(v,g),b=_[0],w=_[1];if(n(b)&&n(w)){var T=v-b,k=v+w;p[y+u[0]]=x-i.c2l(T),p[y+u[1]]=i.c2l(k)-x,p[y+u[2]]=0,p[y+u[3]]=0,d=Math.min(d,v-b),m=Math.max(m,v+w)}}}f[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,c),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,c=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var h=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(c)?c.length>1?c[i]:c[0]:c,m=l(u)?u.length>1?u[i]:u[0]:u,g=y[d],v=y[m],x=h?h/.8+1:0,_=-v*x-.5*v;o.offset[i]=[g*x/p,_/p]}}return o}}},86590:function(t,e,r){\"use strict\";var n=r(34809),i=r(33626),a=r(4075),o=r(92089),s=r(32660),l=r(64726),c=r(99867),u=r(99669),h=r(24272),f=r(98168),p=r(54114),d=r(663);t.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var _=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",_),l.hasMarkers(e)&&(h(t,e,r,m,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||v?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),f(t,e,r,m,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var b=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,b||w||r,{axis:\"y\"}),T(t,e,b||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},85686:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(20438).DESELECTDIM;t.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]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(h.length||f.length){var y=d.color,v=m.color,x=p.color,_=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],g.color[r]=y||(_?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var b=_?x[r]:x;g.color[r]=v||(y?b:i.addOpacity(b,a))}}c.glText[u].update(g)}}},99185:function(t,e,r){\"use strict\";var n=r(15294);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},4075:function(t,e,r){\"use strict\";var n=r(29483);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},36544:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=r(11539);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=i.isArrayOrTypedArray(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=i.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=i.isArrayOrTypedArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family,f.tw=Array.isArray(p.weight)?p.weight[h]:p.weight,f.ty=Array.isArray(p.style)?p.style[h]:p.style,f.tv=Array.isArray(p.variant)?p.variant[h]:p.variant);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.ma=i.isArrayOrTypedArray(d.angle)?d.angle[h]:d.angle,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var m=d&&d.line;m&&(f.mlc=Array.isArray(m.color)?m.color[h]:m.color,f.mlw=i.isArrayOrTypedArray(m.width)?m.width[h]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(f.mgt=Array.isArray(g.type)?g.type[h]:g.type,f.mgc=Array.isArray(g.color)?g.color[h]:g.color);var y=s.c2p(f.x,!0),v=l.c2p(f.y,!0),x=f.mrc||1,_=o.hoverlabel;_&&(f.hbg=Array.isArray(_.bgcolor)?_.bgcolor[h]:_.bgcolor,f.hbc=Array.isArray(_.bordercolor)?_.bordercolor[h]:_.bordercolor,f.hts=i.isArrayOrTypedArray(_.font.size)?_.font.size[h]:_.font.size,f.htc=Array.isArray(_.font.color)?_.font.color[h]:_.font.color,f.htf=Array.isArray(_.font.family)?_.font.family[h]:_.font.family,f.hnl=i.isArrayOrTypedArray(_.namelength)?_.namelength[h]:_.namelength);var b=o.hoverinfo;b&&(f.hi=Array.isArray(b)?b[h]:b);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,f),x0:y-x,x1:y+x,xLabelVal:k?k[h]:f.x,y0:v-x,y1:v+x,yLabelVal:A?A[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?M.text=f.htx:f.tx?M.text=f.tx:o.text&&(M.text=o.text),i.fillText(f,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d,m=t.cd,g=m[0].t,y=m[0].trace,v=t.xa,x=t.ya,_=g.x,b=g.y,w=v.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=v.p2c(w-k),M=v.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var C=k;if(\"x\"===n){var L=!!y.xperiodalignment,I=!!y.yperiodalignment;for(u=0;u<i.length;u++){if(l=_[a=i[u]],h=Math.abs(v.c2p(l)-w),L){var P=v.c2p(y._xStarts[a]),z=v.c2p(y._xEnds[a]);h=w>=Math.min(P,z)&&w<=Math.max(P,z)?0:1/0}if(h<C){if(C=h,c=b[a],f=x.c2p(c)-T,I){var O=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);f=T>=Math.min(O,D)&&T<=Math.max(O,D)?0:1/0}d=Math.sqrt(h*h+f*f),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=_[a=i[u]],c=b[a],h=v.c2p(l)-w,f=x.c2p(c)-T,(p=Math.sqrt(h*h+f*f))<C&&(C=d=p,s=a);return t.index=s,t.distance=C,t.dxy=d,void 0===s?[t]:[o(t,_,b,y)]},calcHover:o}},52378:function(t,e,r){\"use strict\";var n=r(68258);n.plot=r(47731),t.exports=n},47731:function(t,e,r){\"use strict\";var n=r(62172),i=r(49478),a=r(29978),o=r(74024),s=r(34809),l=r(70414).selectMode,c=r(22459),u=r(64726),h=r(17210),f=r(85686).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,h=i.w*n,f=i.h*n;return[s+e.domain[0]*h,l+r.domain[0]*f,a-c-(1-e.domain[1])*h,o-u-(1-r.domain[1])*f]}(t.exports=function(t,e,r){if(r.length){var m,g,y=t._fullLayout,v=e._scene,x=e.xaxis,_=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var b=v.count,w=y._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!v.line2d&&!v.error2d||v.scatter2d||v.fill2d||v.glText||w.clear({}),!0===v.error2d&&(v.error2d=a(w)),!0===v.line2d&&(v.line2d=i(w)),!0===v.scatter2d&&(v.scatter2d=n(w)),!0===v.fill2d&&(v.fill2d=i(w)),!0===v.glText)for(v.glText=new Array(b),m=0;m<b;m++)v.glText[m]=new o(w);if(v.glText){if(b>v.glText.length){var T=b-v.glText.length;for(m=0;m<T;m++)v.glText.push(new o(w))}else if(b<v.glText.length){var k=v.glText.length-b;v.glText.splice(b,k).forEach((function(t){t.destroy()}))}for(m=0;m<b;m++)v.glText[m].update(v.textOptions[m])}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 A=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(A)}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 i,a,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=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=v.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],_=y[2*e+1];isNaN(x)||isNaN(_)||p.push(x,_)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var b=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<b.length;a+=2)(isNaN(b[a])||isNaN(b[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(b),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(m=0;m<b;m++){var C=r[m][0],L=C.trace,I=C.t,P=I.index,z=L._length,O=I.x,D=I.y;if(L.selectedpoints||S||E){if(S||(S=!0),L.selectedpoints){var R=v.selectBatch[P]=s.selIndices2selPoints(L),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<z;g++)F[g]||B.push(g);v.unselectBatch[P]=B}var N=I.xpx=new Array(z),j=I.ypx=new Array(z);for(g=0;g<z;g++)N[g]=x.c2p(O[g]),j[g]=_.c2p(D[g])}else I.xpx=I.ypx=null}if(S){if(v.select2d||(v.select2d=n(y._glcanvas.data()[1].regl)),v.scatter2d){var U=new Array(b);for(m=0;m<b;m++)U[m]=v.selectBatch[m].length||v.unselectBatch[m].length?v.markerUnselectedOptions[m]:{};v.scatter2d.update(U)}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 V={viewport:d(y,x,_,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(_._rl||_.range)[0],(x._rl||x.range)[1],(_._rl||_.range)[1]]},q=s.repeat(V,v.count);v.fill2d&&v.fill2d.update(q),v.line2d&&v.line2d.update(q),v.error2d&&v.error2d.update(q.concat(q)),v.scatter2d&&v.scatter2d.update(q),v.select2d&&v.select2d.update(q),v.glText&&v.glText.forEach((function(t){t.update(V)}))}else v.init()}}).reglPrecompiled=p},62336:function(t,e,r){\"use strict\";var n=r(34809);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},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 i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=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]),a&&r.lineOptions[h]&&a.draw(h),i&&(r.errorXOptions[h]&&i.draw(h),r.errorYOptions[h]&&i.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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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return 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k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},57387:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(71388),u=r(13624).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},58240:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},66762:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},67275:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(8814).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},30929:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermap\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===a){i=!0;break}i?(this.subplot.setOptions(a,\"setLayoutProperty\",n.layout),\"visible\"===n.layout.visibility&&this.subplot.setOptions(a,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)},l.update=function(t){var e=t[0].trace,r=this.subplot,n=r.map,a=i(r.gd,t),s=r.belowLookup[\"trace-\"+this.uid],l=!(!e.cluster||!e.cluster.enabled),c=!!this.clusterEnabled,u=this;function h(t){c?function(t){for(var e=o.cluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i])}t||n.removeSource(u.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]),t||n.removeSource(u.sourceIds[i])}}(t)}function f(t){l?function(t){t||u.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n<r.length;n++){var 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(6893),s=r(36640),l=r(67514),c=r(9829),u=r(87163),h=r(93049).extendFlat,f=r(13582).overrideAll,p=r(67514),d=o.line,m=o.marker;t.exports=f({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:h({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:h({},m.opacity,{dflt:1})},mode:h({},s.mode,{dflt:\"markers\"}),text:h({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:h({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:h({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:m.opacity,size:m.size,sizeref:m.sizeref,sizemin:m.sizemin,sizemode:m.sizemode},u(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:h({},c.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},2795:function(t){\"use strict\";var e=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports={isSupportedFont:function(t){return-1!==e.indexOf(t)}}},27009:function(t,e,r){\"use 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var y,v,_=[];for(e=0;e<t.length;e++){var b=t[e],w=b.lonlat;if(!x(w)){var T={};r&&(T.mcc=b.mcc=r(b.mc)),a&&(T.mrc=b.mrc=a(b.ms)),o&&(T.mo=o(b.mo)),f&&(T.selected=b.selected||0),_.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:w},properties:T})}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<_.length;e++){var k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},38302:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(95833),u=r(2795).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},68197:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},69009:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},18016:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(44245).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},83866:function(t,e,r){\"use strict\";[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/javascript/maplibre-migration/\"].join(\" \"),t.exports={attributes:r(95833),supplyDefaults:r(38302),colorbar:r(21146),formatLabels:r(69009),calc:r(75649),plot:r(20691),hoverPoints:r(18016).hoverPoints,eventData:r(68197),selectPoints:r(60784),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:r(68192),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},20691:function(t,e,r){\"use strict\";var n=r(34809),i=r(27009),a=r(44245).traceLayerPrefix,o={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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T=0;T<x.length;T++)e.contains([y[T],v[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:_[T]}),i(b,T)):-1!==b.indexOf(T)?i(b,T):w.push(T);var k=c.matrixOptions;return b.length||w.length?c.selectBatch.length||c.unselectBatch.length||c.matrix.update(c.unselectedOptions,n.extendFlat({},k,c.selectedOptions,c.viewOpts)):c.matrix.update(k,null),c.selectBatch=b,c.unselectBatch=w,p}},14774:function(t,e,r){\"use strict\";var n=r(87163),i=r(80712).axisHoverFormat,a=r(3208).rb,o=r(42450),s=r(9829),l=r(93049).extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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C=function(){v=0,M=[],S=[],E=[]};(!v||v<M.length*S.length*E.length)&&C();var L=function(t){return\"x\"===t?m:\"y\"===t?g:y},I=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[v-1]<t[0]?-1:1},z=L(A[1]),O=L(A[3]),D=L(A[5]),R=I(A[1]).length,F=I(A[3]).length,B=I(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(L(A[1])),V=P(L(A[3])),q=P(L(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),W=j(e+1,r,i);if(z[H]*U<z[G]*U&&O[H]*V<O[Z]*V&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[u];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var v=o[u];r.yMax=Math.max(r.yMax,v),r.yMin=Math.min(r.yMin,v);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},49280:function(t,e,r){\"use strict\";var n=r(99098).gl_streamtube3d,i=n.createTubeMesh,a=r(34809),o=r(46998).parseColorScale,s=r(88856).extractOpts,l=r(88239),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return 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P.lightPosition=[O.x,O.y,O.z],P.ambient=e.lighting.ambient,P.diffuse=e.lighting.diffuse,P.specular=e.lighting.specular,P.roughness=e.lighting.roughness,P.fresnel=e.lighting.fresnel,P.opacity=e.opacity,e._pad=P.tubeScale*e.sizeref*2,P}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},52737:function(t,e,r){\"use 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n=r(9829),i=r(3208).rb,a=r(3208).ay,o=r(87163),s=r(13792).u,l=r(55412),c=r(2032),u=r(93049).extendFlat,h=r(94850).k;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:u({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:u({},l.marker.line.color,{dflt:null}),width:u({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:h,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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s,l=_.getPtId(t.parent);T.each((function(t){if(_.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(_.getPtId(t)===r)return c=e}));var h=u.length,f=a(s.x0,s.x1);e={rpx0:z,rpx1:z,x0:f(c/h),x1:f((c+1)/h)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(b&&R){var $=_.getPtId(R);T.each((function(t){null===X&&_.getPtId(t)===$&&(X=t.x1)}))}var J=T;function K(t){var e=t.parent,r=F[_.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}b&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);_.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),h=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",f?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),b?h.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:z,rpx1:z},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):h.attr(\"d\",Z),c.call(v,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(_.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),h.call(g,i,A,t);var p=s.ensureSingle(c,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,_.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=m(M,i,k),i.transform.targetX=W(i),i.transform.targetY=Y(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,u(A.type,r,y),s.getTextTransform(r)};b?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),h=a(e.x1,t.x1),f=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=h(t),a=function(t){return m(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(A.type,n,y),{transform:{targetX:W(s),targetY:Y(s),scale:f(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&_.hasTransition(r);h(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),c&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=_.isHierarchyRoot(t),p=_.getParent(h,t),d=_.getValue(t);if(!a){var m,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},v=[];if(y(\"label\")&&u.label&&v.push(u.label),u.hasOwnProperty(\"v\")&&y(\"value\")&&v.push(_.formatValue(u.v,l)),!f){y(\"current path\")&&v.push(_.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var b=x>1;if(x){var w,T=function(t){m=_.formatPercent(w,l),b&&(m+=\" of \"+t),v.push(m)};y(\"percent parent\")&&!f&&(w=d/_.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/_.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/_.getValue(h),T(\"root\"))}}return y(\"text\")&&(m=s.castOption(r,u.i,\"text\"),s.isValidTextValue(m)&&v.push(m)),v.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=_.formatValue(u.v,l)),A.currentPath=_.getPath(t.data),f||(A.percentParent=d/_.getValue(p),A.percentParentLabel=_.formatPercent(A.percentParent,l),A.parent=_.getPtLabel(p)),A.percentEntry=d/_.getValue(e),A.percentEntryLabel=_.formatPercent(A.percentEntry,l),A.entry=_.getPtLabel(e),A.percentRoot=d/_.getValue(h),A.percentRootLabel=_.formatPercent(A.percentRoot,l),A.root=_.getPtLabel(h),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},98972:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(34809),o=r(84102).resizeText,s=r(72043);function l(t,e,r,n){var o=e.data.data,l=!e.children,c=o.i,u=a.castOption(r,c,\"marker.line.color\")||i.defaultLine,h=a.castOption(r,c,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",h).call(i.stroke,u).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16131:function(t,e,r){\"use strict\";var n=r(78766),i=r(87163),a=r(80712).axisHoverFormat,o=r(3208).rb,s=r(9829),l=r(93049).extendFlat,c=r(13582).overrideAll;function u(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 h=t.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(28379);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},27159:function(t,e,r){\"use strict\";var n=r(99098).gl_surface3d,i=r(99098).ndarray,a=r(99098).ndarray_linear_interpolate.d2,o=r(69295),s=r(78106),l=r(34809).isArrayOrTypedArray,c=r(46998).parseColorScale,u=r(55010),h=r(88856).extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],y=8191&g,v=g>>>13,x=0|o[3],_=8191&x,b=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Z=0|s[2],W=8191&Z,Y=Z>>>13,X=0|s[3],$=8191&X,J=X>>>13,K=0|s[4],Q=8191&K,tt=K>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(h,U))|0)+((8191&(i=(i=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((a=Math.imul(f,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var yt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(v,U)|0,a=Math.imul(v,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var vt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,Y)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,Y)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(_,U),i=(i=Math.imul(_,V))+Math.imul(b,U)|0,a=Math.imul(b,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Y)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Y)|0;var xt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,J)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(_,H)|0,i=(i=i+Math.imul(_,G)|0)+Math.imul(b,H)|0,a=a+Math.imul(b,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Y)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Y)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,J)|0;var _t=(c+(n=n+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,Q)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(_,W)|0,i=(i=i+Math.imul(_,Y)|0)+Math.imul(b,W)|0,a=a+Math.imul(b,Y)|0,n=n+Math.imul(y,$)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(v,$)|0,a=a+Math.imul(v,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0;var bt=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Y)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Y)|0,n=n+Math.imul(_,$)|0,i=(i=i+Math.imul(_,J)|0)+Math.imul(b,$)|0,a=a+Math.imul(b,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Y)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Y)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(_,Q)|0,i=(i=i+Math.imul(_,tt)|0)+Math.imul(b,Q)|0,a=a+Math.imul(b,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,Y)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,Y)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(_,rt)|0,i=(i=i+Math.imul(_,nt)|0)+Math.imul(b,rt)|0,a=a+Math.imul(b,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,Y)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,Y)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,J)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(_,at)|0,i=(i=i+Math.imul(_,ot)|0)+Math.imul(b,at)|0,a=a+Math.imul(b,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ct)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,mt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Y)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Y)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,J)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(_,lt)|0,i=(i=i+Math.imul(_,ct)|0)+Math.imul(b,lt)|0,a=a+Math.imul(b,ct)|0,n=n+Math.imul(y,ht)|0,i=(i=i+Math.imul(y,ft)|0)+Math.imul(v,ht)|0,a=a+Math.imul(v,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Y))+Math.imul(N,W)|0,a=Math.imul(N,Y),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(_,ht)|0,i=(i=i+Math.imul(_,ft)|0)+Math.imul(b,ht)|0,a=a+Math.imul(b,ft)|0;var St=(c+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,mt)|0)+Math.imul(v,dt)|0))<<13)|0;c=((a=a+Math.imul(v,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,J))+Math.imul(N,$)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(_,dt)|0)|0)+((8191&(i=(i=i+Math.imul(_,mt)|0)+Math.imul(b,dt)|0))<<13)|0;c=((a=a+Math.imul(b,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(M,ht)|0,i=(i=i+Math.imul(M,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ht)|0,i=(i=i+Math.imul(P,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,mt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,mt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=gt,l[1]=yt,l[2]=vt,l[3]=xt,l[4]=_t,l[5]=bt,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],y=n[u+p+o],v=h*g-f*y;y=h*y+f*g,g=v,r[u+p]=d+g,n[u+p]=m+y,r[u+p+o]=d-g,n[u+p+o]=m-y,p!==s&&(v=l*h-c*f,f=l*f+c*h,h=v)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),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,a,s,l,n,i),this.transform(c,a,u,h,n,i);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,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var 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>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,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[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,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}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),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;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=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),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var 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(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function _(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}v.prototype._tmp=function(){var t=new a(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):void 0!==r.strip?r.strip():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)},i(x,v),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(_,v),i(b,v),i(w,v),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new _;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,i),f=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var y=this.pow(h,new a(1).iushln(d-g-1));f=f.redMul(y),h=y.redSqr(),p=p.redMul(h),d=g}return f},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==h||0!==o?(o<<=1,o|=h,(4==++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(f.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=f.left,f._color=1,f.left=p,l[h-2]=f,l[h-1]=s,i(p),i(f),h>=3&&((m=l[h-3]).right===p?m.right=f:m.left=f);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}else{var d;if(!(d=p.left)||0!==d._color){var m;f.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=f,s.left=p,l[h-2]=s,l[h-1]=f,i(p),i(f),i(s),h>=3&&((m=l[h-3]).right===p?m.right=s:m.left=s);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return c(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new u(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new u(this,t)}}),o.at=function(t){if(t<0)return new u(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new u(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new u(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new 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e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var c=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var u=o[c-1];for(o.push(new e(s._color,u.key,u.value,s.left,s.right,s._count)),o[c-1].key=s.key,o[c-1].value=s.value,l=o.length-2;l>=c;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[c-1].left=o[c]}if(0===(s=o[o.length-1])._color){var h=o[o.length-2];for(h.left===s?h.left=null:h.right===s&&(h.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?f(s,s.left):s.right&&f(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).left===a?c.left=s:c.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).right===a?c.right=s:c.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var c;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(h,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(h,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(h,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),h.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),h.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},h.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"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}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=ArrayBuffer,u=DataView;function h(t){return Array.isArray(t)||function(t){return c.isView(t)&&!(t instanceof u)}(t)}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(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.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var d=p.prototype;function m(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?h(a)&&h(a[0]):h(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(h(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,f=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var m=0;m<3;++m)p[d][m]!==this.bounds[d][m]&&(f=!0),this.bounds[d][m]=p[d][m];if(\"ticks\"in t)for(r=t.ticks,u=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(d=0;d<3;++d)r[d].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),l(\"tickFontStyle\")&&(u=!0),l(\"tickFontWeight\")&&(u=!0),l(\"tickFontVariant\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],v=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,y,this.ticks,v):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,v),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new m,new m,new m];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var v=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var _=[0,0,0],b=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),u=c.cubeEdges,h=c.axis,p=n[12],d=n[13],m=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*m+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=u[A],this.lastCubeProps.axis[A]=h[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,u,h);e=this.gl;var S,E,C,L=v;for(A=0;A<3;++A)this.backgroundEnable[A]?L[A]=h[A]:L[A]=0;for(this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var I=[0,0,0];h[A]>0?I[A]=a[1][A]:I[A]=a[0][A];for(var P=0;P<2;++P){var z=(A+1+P)%3,O=(A+1+(1^P))%3;this.gridEnable[z]&&this._lines.drawGrid(z,O,this.bounds,I,this.gridColor[z],this.gridWidth[z]*this.pixelRatio)}for(P=0;P<2;++P)z=(A+1+P)%3,O=(A+1+(1^P))%3,this.zeroEnable[O]&&Math.min(a[0][O],a[1][O])<=0&&Math.max(a[0][O],a[1][O])>=0&&this._lines.drawZero(z,O,this.bounds,I,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=f(_,M[A].primalMinor),R=f(b,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];D[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(C=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=f(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),C=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,C,S)}if(this.labelEnable[A]){for(E=0,C=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],C,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,h=[0,0,0],f=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),h[l]=p,f[l]=p;for(var d=-1;d<=1;d+=2){h[c]=d;for(var m=-1;m<=1;m+=2)h[u]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var g=c;c=u,u=g}var y=n(t,new Float32Array(e)),v=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],v),_=a(t);return _.attributes.position.location=0,_.attributes.normal.location=1,new o(t,y,x,_)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var v=0,x=0;x<2;++x){u[2]=a[x][2];for(var _=0;_<2;++_){u[1]=a[_][1];for(var b=0;b<2;++b)u[0]=a[b][0],f(l[v],u,s),v+=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 A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);o(c[z],c[I],c[P],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<A);else{for(L=0;L<2;++L){I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<M)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<A)}}}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)(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;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N))}var j=m;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=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),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 i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],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=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h)}return o}var m=[1,1,1],g=[0,0,0],y={cubeEdges:m,axis:g}},501:function(t,e,r){\"use strict\";t.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 m=+r[h][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[h]=f,l[h]=g-f,f=o.length/3|0;for(var y=0;y<r[h].length;++y)m=+r[h][y].x,o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1);g=o.length/3|0,c[h]=f,u[h]=g-f}var v=n(t,new Float32Array(o)),x=i(t,[{buffer:v,type:t.FLOAT,size:3,stride:0,offset:0}]),_=a(t);return _.attributes.position.location=0,new p(t,v,x,_,l,s,u,c)};var n=r(2762),i=r(8116),a=r(1879).n,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,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,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,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=h(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=h(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=h(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=h(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=f(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=h(o);d[t]=1,this.shader.uniforms.majorAxis=d;var m=h(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=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=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(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}\\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}\"]);e.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var c=n(t),h=a(t,[{buffer:c,size:3}]),f=s(t);f.attributes.position.location=0;var p=new u(t,f,c,h);return p.update(e,r,i,o,l),p};var n=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||i.global||{},c=l.__TEXT_CACHE||{};function u(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var h=u.prototype,f=[0,0];h.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},h.unbind=function(){this.vao.unbind()},h.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),u=c[l];u||(u=c[l]={});var h=u[e];h||(h=u[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,p=h.positions,d=h.cells,m=0,g=d.length;m<g;++m)for(var y=d[m],v=2;v>=0;--v){var x=p[y[v]];a.push(f*x[0],-f*x[1],t)}}for(var l=[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]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(a.length/3|0)-h[d],l[d]=a.length/3|0;for(var m=0;m<n[d].length;++m)if(n[d][m].text){var g={family:n[d][m].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][m].x,n[d][m].text,g,n[d][m].fontSize||12,1.25,p)}u[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=u,this.labelOffset=h,this.labelCount=f},h.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},h.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},h.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;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),i){for(var h=\"\"+c;h.length<i;)h=\"0\"+h;return u+\".\"+h}return u}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,y=e.projection||c,v=e._ortho||!1,x=t.bounds,_=(h=h||a(f,p,y,x,v)).axis;o(u,p,f),o(u,y,u);for(var b=m,w=0;w<3;++w)b[w].lo=1/0,b[w].hi=-1/0,b[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(_[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[A]=x[C^w][A];for(var L=0;L<2;++L)S[M]=x[L^C^w][M],E.push(S.slice())}var I=v?5:4;for(C=I;C===I;++C){if(0===E.length)continue t;E=i.positive(E,T[C])}for(C=0;C<E.length;++C){M=E[C];var P=d(g,u,M,r,l);for(L=0;L<3;++L)b[L].lo=Math.min(b[L].lo,M[L]),b[L].hi=Math.max(b[L].hi,M[L]),L!==k&&(b[L].pixelsPerDataUnit=Math.min(b[L].pixelsPerDataUnit,Math.abs(P[L])))}}}}return b};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),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,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var m=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=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=a(s,t.shape);i.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}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,m=[],g=1/0,y=!1,v=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var _=r[x];s=Math.min(_[0],s),l=Math.max(_[0],l),c=Math.min(_[1],c),u=Math.max(_[1],u),h=Math.min(_[2],h),f=Math.max(_[2],f);var b=i[x];if(n.length(b)>o&&(o=n.length(b)),x&&!v){var w=2*n.distance(p,_)/(n.length(d)+n.length(b));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=_,d=b),m.push(b)}var T=[s,c,h],k=[l,u,f];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(v?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],I=m[x],P=n.length(I)*A,z=0;z<8;z++){a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),c=r(9618),u=r(6729),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,i,a,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=i,this.triangleVectors=a,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;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 i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=i;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),m=Math.max(m,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),m=Math.max(m,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var v=n[g],x=0;x<3;++x)!isNaN(v[x])&&isFinite(v[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],v[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],v[x]));var _=0;t:for(g=0;g<r.length;++g){var b=r[g];if(3===b.length){for(x=0;x<3;++x){v=n[T=b[x]];for(var w=0;w<3;++w)if(isNaN(v[w])||!isFinite(v[w]))continue t}for(x=0;x<3;++x){var T;v=n[T=b[2-x]],a.push(v[0],v[1],v[2],v[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=f;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(v[2]-d)/(m-d),0],l.push(A[0],A[1]),h.push(g)}_+=1}}this.triangleCount=_,this.trianglePositions.update(a),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,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:h.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(s(u,c.view,c.model),s(u,c.projection,u),l(u,u),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 m=this.triShader;m.bind(),m.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,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),u=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),h=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));h.generateMipmap(),h.minFilter=t.LINEAR_MIPMAP_LINEAR,h.magFilter=t.LINEAR;var p=i(t),d=i(t),m=i(t),g=i(t),y=i(t),v=new f(t,h,l,u,p,d,y,m,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return v.update(e),v}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * (view * conePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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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}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");if(!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 i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new 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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 i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function f(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=f(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=f(r,i,a,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=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,a),h(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.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])}},m.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)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var 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 m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));f[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((f[p+3]||f[p+2]||f[p+1])&&(c+=g[p]+\"\\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()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new c(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var 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 i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[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(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.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,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.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,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(c=y[0]=r[0],u=y[1]=o[0],h=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(c=y[0]=r[0]+(r[1]-r[0])/2,u=y[1]=o[0]+(o[1]-o[0])/2,h=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var v=1/(h-c),x=1/(p-u),_=e[0],b=e[1];this.shape=[_,b];var w=(l?(_-1)*(b-1):_*b)*(f.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?_-1:_,C=l?b-1:b,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<b-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<b-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=v*(r[z]-c),D=v*(r[z+1]-c)):(O=z<_-1?v*(r[z]-(r[z+1]-r[z])/2-c):v*(r[z]-(r[z]-r[z-1])/2-c),D=z<_-1?v*(r[z]+(r[z+1]-r[z])/2-c):v*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*_+(z+U):L*_+z],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Z=1-G,W=4*H,Y=4*(H+1);F=Z*m[W]+G*m[Y],B=Z*m[W+1]+G*m[Y+1],N=Z*m[W+2]+G*m[Y+2],j=Z*m[W+3]+G*m[Y+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=L*_+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},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)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.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=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new y(e,r,o,s,l,d);return m.update(t),m};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),c=r(9618),u=r(7319),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 i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var v=y.prototype;v.isTransparent=function(){return this.hasAlpha},v.isOpaque=function(){return!this.hasAlpha},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.drawTransparent=v.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),y=0;for(h=0;h<3;++h){if(g[h]<-.001||g[h]>1.0001)return null;y+=g[h]}return Math.abs(y-1)>.001?null:[f,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),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\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),c=r(7608),u=r(9618),h=r(6729),f=r(7765),p=r(1888),d=r(840),m=r(7626),g=d.meshShader,y=d.wireShader,v=d.pointShader,x=d.pickShader,_=d.pointPickShader,b=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=m,this.edgeVAO=v,this.edgeCount=0,this.pointPositions=x,this.pointColors=b,this.pointUVs=T,this.pointSizes=k,this.pointIds=_,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,b.vertex,b.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,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++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],m=n[h][1],g=i[h],y=1-g,v=this.positions[d],x=this.positions[m],_=0;_<3;++_)o[s++]=g*v[_]+y*x[_]}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),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return 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 i=[],a=[],l=[],c=[],f=[],p=[],d=[],m=[],g=[],y=[],v=[],x=[],_=[],b=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[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=I||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;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,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;y.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?v.push(Y[0],Y[1],Y[2],this.opacity):(v.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?_.push(B[W]):_.push(N),b.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?d.push(Y[0],Y[1],Y[2],this.opacity):(d.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],m.push(X[0],X[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var W,Y,X,$;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Y=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?a.push(Y[0],Y[1],Y[2],this.opacity):(a.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),$=w?w[W]:T[R],l.push($[0],$[1],$[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(v),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(b)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),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,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(l(u,s.view,s.model),l(u,s.projection,u),c(u,u),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,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],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=m(i,[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(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];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()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),c=S(t),h=E(t),f=C(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=i(t),m=i(t),v=i(t),x=i(t),_=i(t),b=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:_,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),L=i(t),I=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,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=i(t),N=new T(t,p,r,s,l,c,h,f,d,_,m,v,x,b,w,L,k,A,I,P,R,z,O,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);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,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);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,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],y=a[m+2]-g,v=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*y/x,c[m]=2*(g-v)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var _=0;for(m=0;m<2;++m){h[0]=h[1]=0,h[m]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=f[m];var b=6*n[m].length;p[m]&&b&&i.drawArrays(i.TRIANGLES,_,b),_+=b}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,y=s.screenBox,v=y[2]-y[0],x=y[3]-y[1],_=m[2]-m[0],b=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=_/v,t[0]*=_/v,e[1]*=b/x,t[1]*=b/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,I=6*h[0].length,P=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*P,D=6*Math.max(0,z-P),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/v,o[1]=C[1]*g/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=C[0]*g/v,o[1]=E[0]*g/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D)),i[0]=2*(m[2]+E[3])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/v,o[1]=C[3]*g/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=C[2]*g/v,o[1]=E[2]*g/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,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)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[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 m=0;m<6;++m)n[i++]=d,n[i++]=f[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);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,i,a){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=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);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,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,y=e.tickAngle,v=e.labelEnable,x=e.labelPad,_=e.labelColor,b=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=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 M=2/f[2+(1^t)]-f[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t],r.uniforms.angle=b[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t+2],r.uniforms.angle=b[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],m=a[o+2]-h,g=i[o],y=i[o+2]-g;p[o]=2*l/u*m/y,f[o]=2*(s-c)/u*m/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,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,m=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",v=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var _=1/(c[o+2]-c[o]),b=c[o],w=m.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:v,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-b)*_);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=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);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,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var 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),a.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 m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],f[d]):o.drawLine(e[0],m,e[2],m,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 g=this.borderLineEnable,y=this.borderLineWidth,v=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],v[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],v[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],v[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],v[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,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,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,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=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 a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(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:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),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();for(this.objects.length=0,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}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),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,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!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(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}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,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),y=!!(2&e),v=!!(4&e),x=1/t.clientHeight,_=x*(r-d._lastX),b=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!f&&!p&&!m||g&&!f&&!p&&m)&&c.rotate(A,w*k*_,-T*k*b,0),(l&&g&&!f&&!p&&!m||y||g&&f&&!p&&!m)&&c.pan(A,-d.translateSpeed*_*h,d.translateSpeed*b*h,0),u&&g&&!f&&!p&&!m||v||g&&!f&&p&&!m)){var M=-d.zoomSpeed*b/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,h*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),c=r(7169),u=r(351),h=r(4772),f=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var v=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,_=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),b=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],C=[],L=[],I=[],P=!0,z=!0,O={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:v,objects:E,shape:D,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:O,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)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}function j(){for(var t=E.length,e=I.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,D);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),I.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},P=!0,z=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),C.push(-1),P=!0,z=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(_.dispose(),t=0;t<I.length;++t)I[t].dispose();b.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=u(e,(function(t,e,r){if(!F._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(z=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=I[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++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)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();O.view=F.camera.matrix,P=P||t,z=z||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=F.pixelRatio,L.axes=F.axes,P=P||!!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]),i[p]=Math.max(i[p],u[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(z=z||y,P=P||y){if(y){var v=[0,0,0];for(o=0;o<3;++o)v[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:v}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(i,-p,p,-1,1,l,c),n._ortho=!0):(h(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(L=E[o]).axesBounds=d,F.clipToBounds&&(L.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=I.length,n=0;n<e;++n){var i=I[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(O))}i.end()}}}()),F.axesPixels=a(F.axes,O,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(O)),S.axes=A,x.object&&S.draw(O),r.disable(r.CULL_FACE),o=0;o<e;++o)(L=E[o]).axes=A,L.pixelRatio=F.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(O),L.isTransparent&&L.isTransparent()&&(M=!0);if(M){for(_.shape=D,_.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o)(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(O);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(O)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),b.bind(),_.color[0].bind(0),b.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}for(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,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,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||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),i||a.free(l),o||a.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,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),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/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=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,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],m=r[2],g=r[3];return(a=c*p+u*d+h*m+f*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*m,t[3]=s*f+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var c,u,h=n(t,s);if(r&&1!==r){for(c=0;c<l.positions.length;++c)for(u=0;u<l.positions[c].length;++u)l.positions[c][u]/=r;for(c=0;c<h.positions.length;++c)for(u=0;u<h.positions[c].length;++u)h.positions[c][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],p=h.positions.length;for(c=0;c<p;++c){var d=h.positions[c];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u])}return o[t]=[l,h,f]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,h)},e.createOrtho=function(t){return y(t,f)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,m)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),c=r(9366),u=r(5964),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],f=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return f.isView(t)&&!(t instanceof p)}(t)}function m(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function g(t,e,r,n){return m(n,n),m(n,n),m(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new y(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.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=i(e),f=i(e),p=i(e),d=i(e),m=new x(e,r,n,o,h,f,p,d,a(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}]),s,c,u);return m.update(t),m};var _=x.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},_.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 b=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=h.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function C(t){return t[0]=t[1]=t[2]=0,t}function L(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function I(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function z(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,p=e.axesBounds,d=function(t){for(var e=E,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],b[0]=2/o.drawingBufferWidth,b[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=b,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var y=M,v=0;v<16;++v)y[v]=0;for(v=0;v<4;++v)y[5*v]=1;y[5*m]=0,i[m]<0?y[12+m]=p[0][m]:y[12+m]=p[1][m],s(y,c,y),l.model=y;var x=(m+1)%3,_=(m+2)%3,P=C(w),z=C(T);P[x]=1,z[_]=1;var O=g(0,0,0,L(k,P)),D=g(0,0,0,L(A,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=x;x=_,_=F}O[0]<0&&(P[x]=-1),D[1]>0&&(z[_]=-1);var B=0,N=0;for(v=0;v<4;++v)B+=Math.pow(c[4*x+v],2),N+=Math.pow(c[4*_+v],2);P[x]/=Math.sqrt(B),z[_]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=I(S,d[0],m,-1e8),l.fragClipBounds[1]=I(S,d[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()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var c=t.uniforms;c.model=n.model||h,c.view=n.view||h,c.projection=n.projection||h,b[0]=2/l.drawingBufferWidth,b[1]=2/l.drawingBufferHeight,c.screenSize=b,c.highlightId=r.highlightId,c.highlightScale=r.highlightScale,c.fragClipBounds=P,c.clipBounds=r.axes.bounds,c.opacity=r.opacity,c.pickGroup=r.pickId/255,c.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=u(a);var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * 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}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,c=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=a.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],c=t[1],u=t[2],h=a[0].length,f=a[1].length,p=a[2].length,d=o(a[0],l),m=o(a[1],c),g=o(a[2],u),y=d+1,v=m+1,x=g+1;if(d=s(d,0,h-1),y=s(y,0,h-1),m=s(m,0,f-1),v=s(v,0,f-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||m<0||g<0||y>h-1||v>f-1||x>p-1)return n.create();var _,b,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][m],C=a[1][v],L=a[2][g],I=(l-M)/(S-M),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,y=h-1-y),r.reversedY&&(m=f-1-m,v=f-1-v),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=v*p,_=d*p*f,b=y*p*f;break;case 4:k=g,A=x,_=d*p,b=y*p,w=m*p*h,T=v*p*h;break;case 3:w=m,T=v,k=g*f,A=x*f,_=d*f*p,b=y*f*p;break;case 2:w=m,T=v,_=d*f,b=y*f,k=g*f*h,A=x*f*h;break;case 1:_=d,b=y,k=g*h,A=x*h,w=m*h*p,T=v*h*p;break;default:_=d,b=y,w=m*h,T=v*h,k=g*h*f,A=x*h*f}var O=i[_+w+k],D=i[_+w+A],R=i[_+T+k],F=i[_+T+A],B=i[b+w+k],N=i[b+w+A],j=i[b+T+k],U=i[b+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Z=n.create(),W=n.create();n.lerp(Z,V,H,P),n.lerp(W,q,G,P);var Y=n.create();return n.lerp(Y,Z,W,z),Y}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],v=e[0][1],x=e[0][2],_=e[1][0],b=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>_||r<v||r>b||n<x||n>w)},k=10*n.distance(e[0],e[1])/c,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,c=0;c<s;c++){var u=t[c],h=u[0],f=u[1],p=u[2];i[h]||(e.push(h),i[h]=!0),a[f]||(r.push(f),a[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),m=l(r),g=l(n),y=Math.min(d,m,g);return isFinite(y)?y:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=m(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*c&&I.length<c&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-A>-1e-4*A&&(I.push(N),O=N,P.push(z),R=m(N,z),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),L=N}}var U=function(t,e,r,a){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,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],m=0,g=0,y=i.create(),v=i.create(),x=0;x<o.length;x++){var _=o[x],b=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(b)/a,y=i.create(),n.copy(y,b),y[3]=w;for(var T=0;T<8;T++)p[T]=[_[0],_[1],_[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(v,y,y,y,v,v),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=f;f=p,p=M;var S=v;v=y,y=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,a,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=h.length;for(h=h.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity),c=0;c<m.cells.length;c++){var y=m.cells[c],v=[];f.push(v);for(var x=0;x<y.length;x++)v.push(y[x]+g)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var c=r(6740),u=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return u(t,e,{shaders:c,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=v(e),n=_(e),s=x(e),l=b(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:w,offset:0},{buffer:c,size:3,stride:w,offset:16},{buffer:c,size:3,stride:w,offset:28}]),h=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,h,f,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),c=r(5298),u=r(9994),h=r(9618),f=r(3711),p=r(6760),d=r(7608),m=r(2478),g=r(6199),y=r(990),v=y.createShader,x=y.createContourShader,_=y.createPickShader,b=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,c,u,f,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=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=m,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.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 C=E.prototype;C.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},C.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},C.isOpaque=function(){return!this.isTransparent()},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],I={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||L,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=I.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=I.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return I.showSurface=o,I.showContour=s,I}var z={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},O=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=z;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=P(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),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],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(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(h.uniforms.height=this.contourLevels[o][m],f.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind()}}C.draw=function(t){return R.call(this,t,!1)},C.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}C.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},C.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,g=h*(f?l:1-l),y=0;y<3;++y)c[y]+=this._field[y].get(p,d)*g;for(var v=this._pickResult.level,x=0;x<3;++x)if(v[x]=m.le(this.contourLevels[x],c[x]),v[x]<0)this.contourLevels[x].length>0&&(v[x]=0);else if(v[x]<this.contourLevels[x].length-1){var _=this.contourLevels[x][v[x]],b=this.contourLevels[x][v[x]+1];Math.abs(_-c[x])>Math.abs(b-c[x])&&(v[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},C.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))},C.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=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 a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var v=this._field,x=h(s.mallocFloat(3*v[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),v[o],\"mirror\");var _=h(s.mallocFloat(3*v[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var b=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,C=M*w-S*b,L=b*A-w*T,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),_.set(o,y,0,E*I),_.set(o,y,1,C*I),_.set(o,y,2,L*I)}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Z=o+k[H][0],W=y+k[H][1],Y=this._field[0].get(Z+1,W+1),X=this._field[1].get(Z+1,W+1);G=this._field[2].get(Z+1,W+1),E=_.get(Z+1,W+1,0),C=_.get(Z+1,W+1,1),L=_.get(Z+1,W+1,2),t.intensity&&($=t.intensity.get(Z,W));var $=t.intensity?t.intensity.get(Z,W):G+this.objectOffset[2];F[N++]=Z,F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=$,F[N++]=E,F[N++]=C,F[N++]=L,P[0]=Math.min(P[0],Y+this.objectOffset[0]),P[1]=Math.min(P[1],X+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,$),z[0]=Math.max(z[0],Y+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,$),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(_.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){v=this._field,a=this.shape;for(var K=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=f(this._field[Q],tt[o]);et.push(K.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),a[1]),G=dt<2?this._field[mt].get(Z,W):(this.intensity.get(Z,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var vt=gt*yt;nt[dt]+=vt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)K.pop();U-=1}continue t}K.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var _t=s.mallocFloat(K.length);for(o=0;o<K.length;++o)_t[o]=K[o];this._contourBuffer.update(_t),s.freeFloat(_t)}},C.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)},C.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var y=m[e],v=0;v<2;++v){var x=g[y[v]],_=+x[0],b=0|_,w=0|Math.min(b+1,i[0]),T=_-b,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*h.get(b,M)+I*h.get(b,S)+P*h.get(w,M)+z*h.get(w,S),D=L*p.get(b,M)+I*p.get(b,S)+P*p.get(w,M)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){v&&(n-=1);break}a[2*n+0]=O,a[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(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new f(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),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 h,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)h=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var v=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,v,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,y)}var _=m(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,c,h),l||a.free(p),new f(t,_,o[0],o[1],g,c)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(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 u=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=f.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function 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 g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new f(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=c(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,h){var f=h.dtype,p=h.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var m=0,g=0,y=d(p,h.stride.slice());if(\"float32\"===f?m=t.FLOAT:\"float64\"===f?(m=t.FLOAT,y=!1,f=\"float32\"):\"uint8\"===f?m=t.UNSIGNED_BYTE:(m=t.UNSIGNED_BYTE,y=!1,f=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],h=n(h.data,p,[h.stride[0],h.stride[1],1],h.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],h=i[4],f=i[8],p=u*a+h*o+f*s,d=c(u-=a*p,h-=o*p,f-=s*p),m=(u/=d)*e+a*r,g=(h/=d)*e+o*r,y=(f/=d)*e+s*r;this.center.move(t,m,g,y);var v=Math.exp(this.computedRadius[0]);v=Math.max(1e-4,v+n),this.radius.set(t,Math.log(v))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],h=e[a+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),m=Math.max(f,p,d);f===m?(s=s<0?-1:1,l=h=0):d===m?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var g=c(s,l,h);s/=g,l/=g,h/=g}var y,v,x=e[o],_=e[o+4],b=e[o+8],w=x*s+_*l+b*h,T=c(x-=s*w,_-=l*w,b-=h*w),k=l*(b/=T)-h*(_/=T),A=h*(x/=T)-s*b,M=s*_-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,Z),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,_,b),2===a){var 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e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},tr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},tr.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var rr=Object.freeze({__proto__:null,number:er,color:function(t,e,r){return new ce(er(t.r,e.r,r),er(t.g,e.g,r),er(t.b,e.b,r),er(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return er(t,e[n],r)}))}}),nr=.95047,ir=1,ar=1.08883,or=4/29,sr=6/29,lr=3*sr*sr,cr=sr*sr*sr,ur=Math.PI/180,hr=180/Math.PI;function fr(t){return t>cr?Math.pow(t,1/3):t/lr+or}function pr(t){return t>sr?t*t*t:lr*(t-or)}function dr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function mr(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function gr(t){var e=mr(t.r),r=mr(t.g),n=mr(t.b),i=fr((.4124564*e+.3575761*r+.1804375*n)/nr),a=fr((.2126729*e+.7151522*r+.072175*n)/ir);return{l:116*a-16,a:500*(i-a),b:200*(a-fr((.0193339*e+.119192*r+.9503041*n)/ar)),alpha:t.a}}function yr(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=ir*pr(e),r=nr*pr(r),n=ar*pr(n),new ce(dr(3.2404542*r-1.5371385*e-.4985314*n),dr(-.969266*r+1.8760108*e+.041556*n),dr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function vr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var xr={forward:gr,reverse:yr,interpolate:function(t,e,r){return{l:er(t.l,e.l,r),a:er(t.a,e.a,r),b:er(t.b,e.b,r),alpha:er(t.alpha,e.alpha,r)}}},_r={forward:function(t){var e=gr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*hr;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*ur,r=t.c;return 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a=Qe(e,n),o=e[a],s=e[a+1],l=wr.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?rr[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?_r.reverse(_r.interpolate(_r.forward(c),_r.forward(u),l)):xr.reverse(xr.interpolate(xr.forward(c),xr.forward(u),l))},wr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},wr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},wr.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 kr=function(t,e){this.type=t,this.args=e};kr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return ie(n,t.type)}));return new kr(c?Jt:r,i)},kr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof pe&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},kr.prototype.eachChild=function(t){this.args.forEach(t)},kr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},kr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};Ar.prototype.evaluate=function(t){return this.result.evaluate(t)},Ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},Ar.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new Ar(r,o):null},Ar.prototype.outputDefined=function(){return this.result.outputDefined()},Ar.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var Mr=function(t,e,r){this.type=t,this.index=e,this.input=r};Mr.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,Zt),n=e.parse(t[2],2,ee(e.expectedType||Jt));if(!r||!n)return null;var i=n.type;return new Mr(i.itemType,r,n)},Mr.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new xe(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new xe(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new xe(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},Mr.prototype.eachChild=function(t){t(this.index),t(this.input)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var Sr=function(t,e){this.type=Yt,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?ae(r.type,[Yt,Wt,Zt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(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(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(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 Er=function(t,e,r){this.type=Zt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.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(!ae(r.type,[Yt,Wt,Zt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Zt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Er.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Er.prototype.outputDefined=function(){return!1},Er.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,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};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 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t[0],t[1].outputDefined()}))&&this.otherwise.outputDefined()},Lr.prototype.serialize=function(){var t=[\"case\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ir=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function Pr(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 zr(t,e,r,n){return 0===n.compare(e,r)}function Or(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Yt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,Jt);if(!a)return null;if(!Pr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type 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Xr([new qt(\"\",\"data expressions not supported\")]);var i=Xe(r,[\"zoom\"]);if(!i&&!Jr(e))return Xr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Xr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Xr([a]);if(a instanceof wr&&!Kr(e))return Xr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Yr(new fn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Yr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var mn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(i[u])f=i[u];else if(n[u])f=Hn;else if(i[\"*\"])f=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Hn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function vn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+c+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function _n(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),u=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(vn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Kr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!$r(t.valueSpec)?u.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Bt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return un(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=Qr(t.value),l=Ut(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(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 Bt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return $r(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,c,\"integer expected, found \"+l)]}}function bn(t){var e=(\"property\"===t.expressionContext?dn:hn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+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 Bt(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&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Xe(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!We(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}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]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}mn.deserialize=function(t){return new mn(t._parameters,t._specification)},mn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=hn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Cn(t[1],t[2],\"==\"):\"!=\"===r?Pn(Cn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Cn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Ln(t[1],t.slice(2)):\"!in\"===r?Pn(Ln(t[1],t.slice(2))):\"has\"===r?In(t[1]):\"!has\"===r?Pn(In(t[1])):\"within\"!==r||t}function Cn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Ln(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function In(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function zn(t){return Tn(Vt(t.value))?bn(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):On(t)}function On(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(On({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&$r(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+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 Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&h.push(new Bt(r,a,'\"text-font\" does not support identity functions'))),h.concat(Hn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function Rn(t){return Dn(t,\"paint\")}function Fn(t){return Dn(t,\"layout\")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either \"type\" or \"ref\" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var c=Ut(r.id),u=0;u<t.arrayIndex;u++){var h=i.layers[u];Ut(h.id)===c&&e.push(new Bt(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 Bt(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),i.layers.forEach((function(t){Ut(t.id)===l&&(o=t)})),o?o.ref?e.push(new Bt(n,r.ref,\"ref cannot reference another ref layer\")):s=Ut(o.type):e.push(new Bt(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=i.sources&&i.sources[r.source],p=f&&Ut(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Hn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:zn,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return\"string\"!==n?[new Bt(r,e,\"string expected, \"+n+\" found\")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+\".\"+i,value:r[i]}));return n}};function Un(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Bt(r,e,'\"type\" is required')];var a,o=Ut(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return yn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:jn});case\"geojson\":if(a=yn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:jn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],h=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,bn({key:r+\".\"+s+\".map\",value:u,expressionContext:\"cluster-map\"})),a.push.apply(a,bn({key:r+\".\"+s+\".reduce\",value:h,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return yn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return yn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Bt(r,null,\"Please use runtime APIs to add canvas 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0===e?t.specification.default:e,t.specification)};Di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(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 Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.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 Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(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 Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Zi=function(t){this.specification=t};Zi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Oi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom+1),e)),e)}},Zi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Zi.prototype.interpolate=function(t){return t};var Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Wi.prototype.interpolate=function(){return!1};var Yi=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 Di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ri(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};oi(\"DataDrivenProperty\",Hi),oi(\"DataConstantProperty\",qi),oi(\"CrossFadedDataDrivenProperty\",Gi),oi(\"CrossFadedProperty\",Zi),oi(\"ColorRampProperty\",Wi);var Xi=\"-transition\",$i=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ji(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Fi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Kn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Xi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Xi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),b(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Xn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,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 Ui&&$r(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ki=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},Qi=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 i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.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},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.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)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){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}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Qi);na.prototype.bytesPerElement=8,oi(\"StructArrayLayout4i8\",na);var ia=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(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.float32[n+0]=e,this.float32[n+1]=r,t},e}(Qi);oa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2f8\",oa);var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t},e}(Qi);sa.prototype.bytesPerElement=20,oi(\"StructArrayLayout10ui20\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,i,a,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]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(Qi);la.prototype.bytesPerElement=24,oi(\"StructArrayLayout4i4ui4i24\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ca.prototype.bytesPerElement=12,oi(\"StructArrayLayout3f12\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return 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this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Qi);ha.prototype.bytesPerElement=20,oi(\"StructArrayLayout6i1ul2ui20\",ha);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Oi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Oi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.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))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=h(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new $a(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var co=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&$r(a.property.specification)){var o=ho(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||h){var f=fo(i,l,\"source\");this.binders[i]=h?new lo(s,l,c,e,f,t.id):new oo(s,o,l,f),n.push(\"/a_\"+i)}else{var p=fo(i,l,\"composite\");this.binders[i]=new so(s,o,l,c,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};co.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},co.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},co.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},co.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof oo||f instanceof so||f instanceof lo)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},co.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},co.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},co.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},co.prototype.getPaintVertexBuffers=function(){return this._buffers},co.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},co.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},co.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},co.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},co.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var uo=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new co(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function ho(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 fo(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:va,composite:oa}},i=function(t){return{\"line-pattern\":{source:sa,composite:sa},\"fill-pattern\":{source:sa,composite:sa},\"fill-extrusion-pattern\":{source:sa,composite:sa}}[t]}(t);return 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c=t.readVarint();n=7&c,i=c>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 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,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}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 $s=Js;function Js(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(Ks,this,e),this.length=this._features.length}function Ks(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 Qs(t,e,r){if(3===t){var n=new $s(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Zs(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Zs,VectorTileLayer:$s},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=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 ia,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h=vo(o,u);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"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)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],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&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var m=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var v=d[g-1];if(!al(y,v)){h.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(v)._perp()._unit(),_=v.dist(y);m+_>32768&&(m=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m),m+=_,nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m);var b=h.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=h.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];nl(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=as(w,T),I=0;I<L.length;I+=3)this.indexArray.emplaceBack(k+L[I],k+L[I+2],k+L[I+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Yi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return zo(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=Oo(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,n,1];qo(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l,0,0),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,m=0,g=t;m<g.length;m+=1){for(var y=[],v=[],x=0,_=g[m];x<_.length;x+=1){var b=_[x],w=b.x,T=b.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+c,C=S+u,L=k+h,I=A+f,P=M+p,z=S+d,O=new a((k+s)/C,(A+l)/C);O.z=E/C,y.push(O);var D=new a(L/z,I/z);D.z=P/z,v.push(D)}i.push(y),o.push(v)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],h=[l,c,o[s+1],u,l];bo(r,h)&&(n=Math.min(n,cl(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}($i);function ll(t,e){return t.x*e.x+t.y*e.y}function cl(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=ll(s,s),h=ll(s,l),f=ll(l,l),p=ll(c,s),d=ll(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=i.z*v+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var _=1/0,b=0,w=e;b<w.length;b+=1){var T=w[b];_=Math.min(_,T.z)}return _}var ul=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,hl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,fl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,ml=function(t){var e=this;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.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ml.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p=vo(l,f);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:f?p.geometry:yo(l),patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var v=y[g],x=v,_=x.geometry,b=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(v,_,b,r,{});var k=t[b].feature;e.featureIndex.insert(k,_,b,w,this.index)}},ml.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ml.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},ml.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ml.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ml.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,hl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ul),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ml.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ml.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},ml.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var u=0,h=e;u<h.length;u+=1){var f=h[u];this.addLine(f,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ml.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===fl[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&&(i=1.05);var u,h=this.overscaling<=16?15*po/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var y=c;y<l;y++)if(!(d=y===l-1?s?t[c+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(m=g),u&&(p=u),u=t[y],g=d?d.sub(u)._unit()._perp():m;var v=(m=m||g).add(g);0===v.x&&0===v.y||v._unit();var x=m.x*g.x+m.y*g.y,_=v.x*g.x+v.y*g.y,b=0!==_?1/_:1/0,w=2*Math.sqrt(2-2*_),T=_<pl&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&y>c){var A=u.dist(p);if(A>2*h){var M=u.sub(u.sub(p)._mult(h/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,f),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(b<a?E=\"miter\":b<=2&&(E=\"fakeround\")),\"miter\"===E&&b>i&&(E=\"bevel\"),\"bevel\"===E&&(b>2&&(E=\"flipbevel\"),b<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)v._mult(b),this.addCurrentVertex(u,v,0,0,f);else if(\"flipbevel\"===E){if(b>100)v=g.mult(-1);else{var C=b*m.add(g).mag()/m.sub(g).mag();v._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,v,0,0,f),this.addCurrentVertex(u,v.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(b*b-1),I=k?L:0,P=k?0:L;if(p&&this.addCurrentVertex(u,m,I,P,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=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,g,-I,-P,f)}else if(\"butt\"===E)this.addCurrentVertex(u,v,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,v,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,f),this.addCurrentVertex(u,m,1,1,f,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,f,!0),this.addCurrentVertex(u,g,0,0,f)));if(T&&y<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,g,0,0,f),u=j}}}}},ml.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ml.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6),this.lineClips){var u=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(u,this.lineClipsArray.length)}var 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r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=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&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Il(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&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,zl.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Zl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writeBytesField:function(t,e){this.writeTag(t,zl.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,zl.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,zl.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Kl=3;function Ql(t,e,r){1===t&&r.readMessage(tc,e)}function tc(t,e,r){if(3===t){var n=r.readMessage(ec,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*Kl,height:s+2*Kl},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function ec(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var rc=Kl;function nc(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var h=u[c],f=o.length-1;f>=0;f--){var p=o[f];if(!(h.w>p.w||h.h>p.h)){if(h.x=p.x,h.y=p.y,l=Math.max(l,h.y+h.h),s=Math.max(s,h.x+h.w),h.w===p.w&&h.h===p.h){var d=o.pop();f<o.length&&(o[f]=d)}else 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Ko({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Ko.copy(u.data,l,{x:0,y:0},{x:h.x+ic,y:h.y+ic},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,m=d.x+ic,g=d.y+ic,y=p.data.width,v=p.data.height;Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Ko.copy(p.data,l,{x:0,y:v-1},{x:m,y:g-1},{width:y,height:1}),Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g+v},{width:y,height:1}),Ko.copy(p.data,l,{x:y-1,y:0},{x:m-1,y:g},{width:1,height:v}),Ko.copy(p.data,l,{x:0,y:0},{x:m+y,y:g},{width:1,height:v})}this.image=l,this.iconPositions=r,this.patternPositions=n};sc.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*ic,h:i.data.height+2*ic};r.push(a),e[n]=new ac(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},sc.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)},sc.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",ac),oi(\"ImageAtlas\",sc);var lc={horizontal:1,vertical:2,horizontalOnly:3},cc=-17;var uc=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};uc.forText=function(t,e){var r=new uc;return r.scale=t||1,r.fontStack=e,r},uc.forImage=function(t){var e=new uc;return e.imageName=t,e};var hc=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function fc(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=hc.fromFeature(t,i);h===lc.vertical&&y.verticalizePunctuation();var v=zi.processBidirectionalText,x=zi.processStyledBidirectionalText;if(v&&1===y.sections.length){g=[];for(var _=0,b=v(y.toString(),_c(y,c,a,e,n,p,d));_<b.length;_+=1){var w=b[_],T=new hc;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,_c(y,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new hc;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,_c(y,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:y.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,i,a,o,s,l,c,u,h){for(var f=0,p=cc,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,v=0,x=i;v<x.length;v+=1){var _=x[v];_.trim();var b=_.getMaxScale(),w=(b-1)*Cl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(_.length()){for(var M=0;M<_.length();M++){var S=_.getSection(M),E=_.getSectionIndex(M),C=_.getCharCode(M),L=0,I=null,P=null,z=null,O=Cl,D=!(l===lc.horizontal||!u&&!mi(C)||u&&(pc[C]||yi(C)));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Cl/h,I={width:F[0],height:F[1],left:ic,top:-rc,advance:D?F[1]:F[0]},L=w+(Cl-F[1]*S.scale),O=I.advance;var B=D?F[0]*S.scale-Cl*b:F[1]*S.scale-Cl*b;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics}L=(b-S.scale)*Cl}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:I,rect:P}),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:I,rect:P}),f+=I.advance*S.scale+c)}if(0!==k.length){var q=f-c;d=Math.max(q,d),wc(k,0,k.length-1,g,A)}f=0;var H=a*b+A;T.lineOffset=Math.max(A,w),p+=H,m=Math.max(H,m),++y}else p+=a,++y}var G=p-cc,Z=bc(o),W=Z.horizontalAlign,Y=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n-cc:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var m=d[p];m.x+=c,m.y+=u}})(t.positionedLines,g,W,Y,d,m,a,G,i.length),t.top+=-Y*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,g,o,s,l,h,c,f,m),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}hc.fromFeature=function(t,e){for(var r=new hc,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},hc.prototype.length=function(){return this.text.length},hc.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},hc.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},hc.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},hc.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},hc.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pc[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pc[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},hc.prototype.substring=function(t,e){var r=new hc;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},hc.prototype.toString=function(){return this.text},hc.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},hc.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(uc.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},hc.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(uc.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k(\"Reached maximum number of images 6401\")}else k(\"Can't add FormattedSection with an empty image.\")},hc.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pc={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},dc={};function mc(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Cl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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a(0,0);u.push({tl:O,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Y,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,v=null;\"source\"===y.kind?(v=[Ac*i.layout.get(\"text-size\").evaluate(s,{})])[0]>eu&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((v=[Ac*d.compositeTextSizes[0].evaluate(s,{},m),Ac*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>eu||v[1]>eu)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,v,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,_=h;x<_.length;x+=1)f[_[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nu(t){for(var e in t)return t[e];return null}function iu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var au=tl.VectorTileFeature.types,ou=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function su(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=s?Math.min(eu,Math.round(s[0])):0,d=s?Math.min(eu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function lu(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function cu(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(_i(r[e].text))return!0;return!1}var uu=function(t){this.layoutVertexArray=new la,this.indexArray=new ma,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ca,this.opacityVertexArray=new ua,this.placedSymbolArray=new Sa};uu.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},uu.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ou,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},uu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",uu);var hu=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};hu.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},hu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",hu);var fu=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=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mc(this.zoom,e[\"text-size\"]),this.iconSizeData=Mc(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lc[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};fu.prototype.createArrays=function(){this.text=new uu(new uo(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new uu(new uo(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new La,this.lineVertexArray=new Ia,this.symbolInstances=new Ca},fu.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},fu.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof fe&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new Oi(this.zoom),m=0,g=t;m<g.length;m+=1){var y=g[m],v=y.feature,x=y.id,_=y.index,b=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=vo(v,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(v));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=fe.factory(A);cu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ii()||this.hasRTLText&&zi.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:_,sourceLayerIndex:b,geometry:T.geometry,properties:v.properties,type:au[v.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lc.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=di(k.toString()),F=D.fontStack||I,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var 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 m=s(p,d,h),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(f,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},fu.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))},fu.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fu.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},fu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},fu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},fu.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fu.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,this.canOverlap?a.sortKey:void 0),m=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lc.vertical?Math.PI/2:0,v=a.text&&a.text.sections,x=0;x<e.length;x++){var _=e[x],b=_.tl,w=_.tr,T=_.bl,k=_.br,A=_.tex,M=_.pixelOffsetTL,S=_.pixelOffsetBR,E=_.minFontScaleX,C=_.minFontScaleY,L=_.glyphOffset,I=_.isSDF,P=_.sectionIndex,z=d.vertexLength,O=L[1];su(p,s.x,s.y,b.x,O+b.y,A.x,A.y,r,I,M.x,M.y,E,C),su(p,s.x,s.y,w.x,O+w.y,A.x+A.w,A.y,r,I,S.x,M.y,E,C),su(p,s.x,s.y,T.x,O+T.y,A.x,A.y+A.h,r,I,M.x,S.y,E,C),su(p,s.x,s.y,k.x,O+k.y,A.x+A.w,A.y+A.h,r,I,S.x,S.y,E,C),lu(t.dynamicLayoutVertexArray,s,y),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&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},h,v&&v[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},fu.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},fu.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},fu.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},fu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hu(fa,Al.members,ba),this.iconCollisionBox=new hu(fa,Al.members,ba);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)}},fu.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,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<i;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=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);c.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},c.verticalIconFeatureIndex=y.featureIndex;break}return c},fu.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))}},fu.prototype.hasTextData=function(){return this.text.segments.get().length>0},fu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fu.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},fu.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},fu.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})},fu.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",fu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fu.MAX_GLYPHS=65535,fu.addDynamicAttributes=lu;var pu=new Yi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),du={paint:new Yi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Xt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pu},mu=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};mu.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},mu.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},mu.prototype.outputDefined=function(){return!1},mu.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",mu,{omit:[\"defaultValue\"]});var gu=function(t){function e(e){t.call(this,e,du)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||un(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new fu(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=du.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new mu(a),s=new cn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new fn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=du.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof fe)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}($i),yu={paint:new Yi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Zi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},vu=function(t){function e(e){t.call(this,e,yu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i),xu={paint:new Yi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},_u=function(t){function e(e){t.call(this,e,xu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i);var bu=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}($i),wu={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:_l,symbol:gu,background:vu,raster:_u};var Tu=s.HTMLImageElement,ku=s.HTMLCanvasElement,Au=s.HTMLVideoElement,Mu=s.ImageData,Su=s.ImageBitmap,Eu=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Eu.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Eu.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)},Eu.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Eu.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Cu=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()})};Cu.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))},Cu.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Lu=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},v([\"receive\",\"process\"],this),this.invoker=new Cu(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Iu(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]}Lu.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=L(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ui(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Lu.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 S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Lu.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)}},Lu.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(hi(e.error)):n(null,hi(e.data)))}else{var i=!1,a=L(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ui(e):null,data:ui(n,a)},a)}:function(t){i=!0},s=null,l=hi(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));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Lu.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pu=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]))};Pu.prototype.setNorthEast=function(t){return this._ne=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.setSouthWest=function(t){return this._sw=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Ou)e=t,r=t;else{if(!(t instanceof Pu)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pu.convert(a))}var o=t;return this.extend(Ou.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Ou(e.lng,e.lat),this._ne=new Ou(r.lng,r.lat)),this},Pu.prototype.getCenter=function(){return new Ou((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pu.prototype.getSouthWest=function(){return this._sw},Pu.prototype.getNorthEast=function(){return this._ne},Pu.prototype.getNorthWest=function(){return new Ou(this.getWest(),this.getNorth())},Pu.prototype.getSouthEast=function(){return new Ou(this.getEast(),this.getSouth())},Pu.prototype.getWest=function(){return this._sw.lng},Pu.prototype.getSouth=function(){return this._sw.lat},Pu.prototype.getEast=function(){return this._ne.lng},Pu.prototype.getNorth=function(){return this._ne.lat},Pu.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pu.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pu.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pu.prototype.contains=function(t){var e=Ou.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Pu.convert=function(t){return!t||t instanceof Pu?t:new Pu(t)};var zu=6371008.8,Ou=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\")};Ou.prototype.wrap=function(){return new Ou(f(this.lng,-180,180),this.lat)},Ou.prototype.toArray=function(){return[this.lng,this.lat]},Ou.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ou.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return zu*Math.acos(Math.min(i,1))},Ou.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 Pu(new Ou(this.lng-r,this.lat-e),new Ou(this.lng+r,this.lat+e))},Ou.convert=function(t){if(t instanceof Ou)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ou(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ou(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 Du=2*Math.PI*zu;function Ru(t){return Du*Math.cos(t*Math.PI/180)}function Fu(t){return(180+t)/360}function Bu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nu(t,e){return t/Ru(e)}function ju(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ou.convert(t);return new Uu(Fu(r.lng),Bu(r.lat),Nu(e,r.lat))},Uu.prototype.toLngLat=function(){return new Ou(360*this.x-180,ju(this.y))},Uu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Ru(ju(e));var t,e},Uu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Du*(t=ju(this.y),1/Math.cos(t*Math.PI/180));var t};var Vu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gu(0,t,t,e,r)};Vu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Iu(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Iu(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qu=function(t,e){this.wrap=t,this.canonical=e,this.key=Gu(t,e.z,e.z,e.x,e.y)},Hu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vu(r,+n,+i),this.key=Gu(e,t,r,n,i)};function Gu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hu.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},Hu.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hu(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 Hu(e,this.wrap,e,r,n),new Hu(e,this.wrap,e,r+1,n),new Hu(e,this.wrap,e,r,n+1),new Hu(e,this.wrap,e,r+1,n+1)]},Hu.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))},Hu.prototype.wrapped=function(){return new Hu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.unwrapTo=function(t){return new Hu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hu.prototype.toUnwrapped=function(){return new qu(this.wrap,this.canonical)},Hu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uu(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vu),oi(\"OverscaledTileID\",Hu,{omit:[\"posMatrix\"]});var Zu=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 k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Zu.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])},Zu.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Zu.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)},Zu.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Zu.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Zu.prototype.getPixels=function(){return new Ko({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Zu.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},oi(\"DEMData\",Zu);var Wu=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}};Wu.prototype.encode=function(t){return this._stringToNumber[t]},Wu.prototype.decode=function(t){return this._numberToString[t]};var Yu=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Xu={geometry:{configurable:!0}};Xu.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},Xu.geometry.set=function(t){this._geometry=t},Yu.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(Yu.prototype,Xu);var $u=function(){this.state={},this.stateChanges={},this.deletedStates={}};$u.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]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},$u.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},$u.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},$u.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},$u.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,h=Object.keys(this.deletedStates[o][c]);u<h.length;u+=1){var f=h[u];delete this.state[o][c][f]}s[c]=this.state[o][c]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Ju=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new za,this.promoteId=e};function Ku(t,e,r,n,i){return _(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function th(t,e){return e-t}Ju.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var 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]<po&&u[1]<po&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Ju.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Wu(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ju.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Qu(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Qu(t.cameraQueryGeometry),d=0,m=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(Lo(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Io(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<m.length;d+=1){var g=m[d];f.push(g)}f.sort(th);for(var y,v={},x=function(a){var u=f[a];if(u!==y){y=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=yo(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<f.length;_++)x(_);return v},Ju.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h)){var f=this.sourceLayerCoder.decode(r),d=this.vtLayers[f].feature(n);if(i.needGeometry){var m=vo(d,!0);if(!i.filter(new Oi(this.tileID.overscaledZ),m,this.tileID.canonical))return}else if(!i.filter(new Oi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,f),y=0;y<h.length;y++){var v=h[y];if(!(a&&a.indexOf(v)<0)){var x=s[v];if(x){var _={};void 0!==g&&c&&(_=c.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var b=p({},l[v]);b.paint=Ku(b.paint,x.paint,d,_,o),b.layout=Ku(b.layout,x.layout,d,_,o);var w=!u||u(d,x,_);if(w){var T=new Yu(d,this.z,this.x,this.y,g);T.layer=b;var k=t[v];void 0===k&&(k=t[v]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Ju.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=An(i),u=0,h=t;u<h.length;u+=1){var f=h[u];this.loadMatchingFeature(l,r,n,f,c,a,o,s,e)}return l},Ju.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Ju.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Ju,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var eh=function(t,e){this.tileID=t,this.uid=m(),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\"};eh.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},eh.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},eh.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof fu){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof fu&&o.hasRTLText){this.hasRTLText=!0,zi.isLoading()||zi.isLoaded()||\"deferred\"!==Ii()||Pi();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 Aa},eh.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\"},eh.prototype.getBucket=function(t){return this.buckets[t.id]},eh.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 Eu(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Eu(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},eh.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},eh.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},eh.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(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<a.length;f++){var p=a.feature(f);if(o.needGeometry){var d=vo(p,!0);if(!o.filter(new Oi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Oi(this.tileID.overscaledZ),p))continue;var m=r.getId(p,i),g=new Yu(p,l,c,u,m);g.tile=h,t.push(g)}}},eh.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},eh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},eh.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},eh.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)},eh.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},eh.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},eh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},eh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},eh.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},eh.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},eh.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rh=s.performance,nh=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rh.mark(this._marks.start)};nh.prototype.finish=function(){rh.mark(this._marks.end);var t=rh.getEntriesByName(this._marks.measure);return 0===t.length&&(rh.measure(this._marks.measure,this._marks.start,this._marks.end),t=rh.getEntriesByName(this._marks.measure),rh.clearMarks(this._marks.start),rh.clearMarks(this._marks.end),rh.clearMeasures(this._marks.measure)),t},t.Actor=Lu,t.AlphaImage=Jo,t.CanonicalTileID=Vu,t.CollisionBoxArray=Aa,t.Color=ce,t.DEMData=Zu,t.DataConstantProperty=qi,t.DictionaryCoder=Wu,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=Oi,t.Event=Ot,t.Evented=Rt,t.FeatureIndex=Ju,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=sc,t.ImagePosition=ac,t.LineBucket=ml,t.LngLat=Ou,t.LngLatBounds=Pu,t.MercatorCoordinate=Uu,t.ONE_EM=Cl,t.OverscaledTileID=Hu,t.Point=a,t.Point$1=a,t.Properties=Yi,t.Protobuf=Pl,t.RGBAImage=Ko,t.RequestManager=Z,t.RequestPerformance=nh,t.ResourceType=bt,t.SegmentVector=Da,t.SourceFeatureState=$u,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=ma,t.StructArrayLayout4i8=na,t.SymbolBucket=fu,t.Texture=Eu,t.Tile=eh,t.Transitionable=Fi,t.Uniform1f=$a,t.Uniform1i=Xa,t.Uniform2f=Ja,t.Uniform3f=Ka,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qu,t.ValidationError=Bt,t.WritingMode=lc,t.ZoomHistory=fi,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=lu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=c,t.bindAll=v,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ft&&(t.getActor().send(\"enforceCacheSizeLimit\",ht),xt=0)},t.clamp=h,t.clearTileCache=function(t){var e=s.caches.delete(ut);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fc,t.clone=function(t){var e=new Fo(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=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=hn,t.createLayout=ta,t.createStyleLayer=function(t){return\"custom\"===t.type?new bu(t):new wu[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,$,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new j(s,$,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(W(r),Y(a),W(i),Y(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?G(p):this.points[p.index])}return c},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],h=i.points[u];h.parentId===t&&s.push(h.numPoints?G(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?Z(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),a.features.push(u)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),c=0;c<t.length;c++){var u=t[c];if(!(u.zoom<=e)){u.zoom=e;for(var h=this.trees[e+1],f=h.within(u.x,u.y,l),p=u.numPoints||1,d=p,m=0,g=f;m<g.length;m+=1){var y=g[m],v=h.points[y];v.zoom>e&&(d+=v.numPoints||1)}if(d>=s){for(var x=u.x*p,_=u.y*p,b=o&&p>1?this._map(u,!0):null,w=(c<<5)+(e+1)+this.points.length,T=0,k=f;T<k.length;T+=1){var A=k[T],M=h.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,_+=M.y*S,M.parentId=w,o&&(b||(b=this._map(u,!0)),o(b,this._map(M)))}}u.parentId=w,r.push(q(x/d,_/d,w,d,b))}else if(r.push(u),d>1)for(var E=0,C=f;E<C.length;E+=1){var L=C[E],I=h.points[L];I.zoom<=e||(I.zoom=e,r.push(I))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=kt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=_t(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,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,y,v,x,_,b=.5*l.buffer/l.extent,w=.5-b,T=.5+b,k=1+b;m=g=y=v=null,x=lt(t,u,r-b,r+T,0,f.minX,f.maxX,l),_=lt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(m=lt(x,u,n-b,n+T,1,f.minY,f.maxY,l),g=lt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),_&&(y=lt(_,u,n-b,n+T,1,f.minY,f.maxY,l),v=lt(_,u,n+w,n+k,1,f.minY,f.maxY,l),_=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(v||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return vt(this.tiles[s],i);a>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[kt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?vt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var c={};if(i){var u=i.finish();u&&(c.resourceTiming={},c.resourceTiming[n.source]=JSON.parse(JSON.stringify(u)))}r(null,c)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},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),r.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],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[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){var r=this.images[t];e.version=r.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,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(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={},i=0,a=e;i<a.length;i+=1){var o=a[i];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 i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,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 i=this.images[n];h(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(v(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(v(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function v(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,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 i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var _=function(){this.specification=t.styleSpec.light.position};_.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},_.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 b=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new _,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(b),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],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),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(f*f+m*m)}else p=n-Math.sqrt(f*f+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],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),p=l.isDash?f:-f;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(C),I=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),z=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,h=Math.max(c,u),f=Math.max(0,Math.floor(-Math.log(h)/Math.LN2)),p=Math.pow(2,f);return new t.CanonicalTileID(f,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,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 i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,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 i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(z),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,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 a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(z),R={vector:E,raster:C,\"raster-dem\":L,geojson:I,video:O,image:z,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var 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,i,a,s,F(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var 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 m=d[p];h[m.featureIndex]||(h[m.featureIndex]=!0,f.push(m))}}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 N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Ct=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Ct.Replace=[1,0],Ct.disabled=new Ct(Ct.Replace,t.Color.transparent,[!1,!1,!1,!1]),Ct.unblended=new Ct(Ct.Replace,t.Color.transparent,[!0,!0,!0,!0]),Ct.alphaBlended=new Ct([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Lt=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Lt.disabled=new Lt(!1,1029,2305),Lt.backCCW=new Lt(!0,1029,2305);var It=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new W(this),this.colorMask=new Y(this),this.depthMask=new X(this),this.stencilMask=new $(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ct(this),this.program=new ut(this),this.activeTexture=new ht(this),this.viewport=new ft(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new mt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new _t(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\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};It.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()},It.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},It.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},It.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},It.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},It.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},It.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},It.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))},It.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)},It.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)},It.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Ct.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},It.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Ot(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],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var y in this._retainLoadedChildren(u,a,s,l),c)l[y]||(this._coveredTiles[y]=!0,l[y]=c[y])}for(var v in l)this._tiles[v].clearFadeHold();for(var x=0,_=t.keysDifference(this._tiles,l);x<_.length;x+=1){var b=_[x],w=this._tiles[b];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(b)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,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],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var v=d.children(this._source.maxzoom);if(n[v[0].key]&&n[v[1].key]&&n[v[2].key]&&n[v[3].key])continue}for(var x=m.wasRequested(),_=d.overscaledZ-1;_>=a;--_){var b=d.scaledTo(_);if(i[b.key])break;if(i[b.key]=!0,!(m=this.getTile(b))&&x&&(m=this._addTile(b)),m&&(n[b.key]=b,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var y=g[m];h=Math.min(h,y.x),f=Math.min(f,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var v=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,y=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var v=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:v,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)v(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(Ot(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function zt(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 Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={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 Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function $t(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Wt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Xt),f=r.map(Xt),p=e.reduce($t,{}),d=r.reduce($t,{}),m=h.slice(),g=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:qt.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.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),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.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),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:qt.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var Kt=function(t,e){this.reset(t,e)};Kt.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},Kt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var v=d.get(y);if(v.hidden||v.writingMode===t.WritingMode.vertical&&!g)fe(v.numGlyphs,f);else{g=!1;var x=[v.anchorX,v.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,h)){var _=x[3],b=ne(n.transform.cameraToCenterDistance,_),w=t.evaluateSizeForFeature(c,u,v),T=s?w/b:w*b,k=new t.Point(v.anchorX,v.anchorY),A=re(k,a).point,M={},S=le(v,T,!1,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(v,T,!0,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m).notEnoughRoom)&&fe(v.numGlyphs,f)}else fe(v.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function oe(t,e,r,n,i,a,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(h-1),g=ue(t*d,r,n,i,a,o,s.segment,f,p,l,c,u);if(!g)return null;var y=ue(t*m,r,n,i,a,o,s.segment,f,p,l,c,u);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=r/24,y=e.lineOffsetX*g,v=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,_=e.lineStartIndex,b=e.lineStartIndex+e.lineLength,w=oe(g,l,y,v,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(ue(g*l.getoffsetX(M),y,v,n,h,f,e.segment,_,b,c,o,p));m.push(w.last)}else{if(i&&!n){var S=re(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=re(C,a),I=L.signedDistanceFromCamera>0?L.point:ce(f,C,S,1,a),P=se(e.writingMode,S,I,d);if(P)return P}var z=ue(g*l.getoffsetX(e.glyphStartIndex),y,v,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};m=[z]}for(var O=0,D=m;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function ce(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ue(e,r,n,i,a,o,s,l,c,u,h,f){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,v=a,x=0,_=0,b=Math.abs(p),w=[];x+_<=b;){if((g+=d)<l||g>=c)return null;if(v=y,w.push(y),void 0===(y=f[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=re(T,h);if(k.signedDistanceFromCamera>0)y=f[g]=k.point;else{var A=g-d;y=ce(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,v,b-x+1,h)}}x+=_,_=v.dist(y)}var M=(b-x)/_,S=y.sub(v),E=S.mult(M)._add(v);E._add(S._unit()._perp()._mult(n*d));var C=m+Math.atan2(y.y-v.y,y.x-v.x);return w.push(E),{point:E,angle:C,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var 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 a?o.filter(a):o}var f={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];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 a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,y=0,v=m;y<v.length;y+=1){var x=v[y];if(!l.circle[x]){l.circle[x]=!0;var _=3*x;if(this._circleAndRectCollide(g[_],g[_+1],g[_+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var b=g[_],w=g[_+1],T=g[_+2];a.push({key:this.circleKeys[x],x1:b-T,y1:w-T,x2:b+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];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 m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[m+0],h[m+1],h[m+2],h[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,v=0,x=g;v<x.length;v+=1){var _=x[v];if(!c.circle[_]){c.circle[_]=!0;var b=3*_;if(this._circlesCollide(y[b],y[b+1],y[b+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[_])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,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++){var d=this.xCellCount*p+f;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+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 he=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function fe(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(he,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,me=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}me.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},me.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=re(m,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),v=(u?a/y:a*y)/t.ONE_EM,x=re(m,s).point,_=oe(v,i,r.lineOffsetX*v,r.lineOffsetY*v,!1,x,m,r,n,s,{}),b=!1,w=!1,T=!0;if(_){for(var k=.5*f*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Kt,E=_.first,C=_.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return re(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>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[L]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([L],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Z=G.x+de,W=G.y+de;d.push(Z,W,k,0);var Y=Z-k,X=W-k,$=Z+k,J=W+k;if(T=T&&this.isOffscreen(Y,X,$,J),w=w||this.isInsideGrid(Y,X,$,J),!e&&this.grid.hitTestCircle(Z,W,k,h)&&(b=!0,!c))return{circles:[],offscreen:!1,collisionDetected:b}}}}return{circles:!c&&b||!w?[]:d,offscreen:T,collisionDetected:b}},me.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+de,c.y+de);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]={}),!h[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,y)&&(h[g.bucketInstanceId][g.featureIndex]=!0,void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]=[]),f[g.bucketInstanceId].push(g.featureIndex))}}return f},me.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},me.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},me.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},me.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},me.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},me.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ve=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};ve.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},_e=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},be=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function ke(e,r,n,i,a,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 i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new me(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,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=ge(n,1,this.transform.zoom),m=te(h,f,p,this.transform,d),g=null;if(f){var y=ee(h,f,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new be(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var v={bucket:a,layout:l,posMatrix:h,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,_=a.sortKeyRanges;x<_.length;x+=1){var b=_[x],w=b.sortKey,T=b.symbolInstanceStart,k=b.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:v})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:v})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=[h.textOffset0,h.textOffset1],y=Te(t,r,n,g,i),v=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return v.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(m=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:y,placedGlyphBoxes:v}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,f=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),v=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),_=\"map\"===s.get(\"text-rotation-alignment\"),b=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=v&&(x||!o.hasIconData()||y),A=x&&(v||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(f)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=v?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,_,b,h,l,m,y,e,o,n,u);if(k&&(f=k.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=k.shift;break}}return f};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=C&&C.box&&C.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,v,h,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.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),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Y=e.collisionCircleDiameter;I=i.collisionIndex.placeCollisionCircles(v,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,c,u,n,b,m.predicate,Y,W),T=v||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,_,b,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,h,l,m.predicate)};M=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var $=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if($||J?J?$||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(L&&L.box&&O?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new _e);for(var tt=0;tt<I.circles.length;tt+=4)Q.circles.push(I.circles[tt+0]),Q.circles.push(I.circles[tt+1]),Q.circles.push(I.circles[tt+2]),Q.circles.push(I.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];M(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)M(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ve(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ve(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var h=i[u];if(!this.opacities[u]){var f=new ve(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ve(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),h=\"map\"===a.get(\"text-pitch-alignment\"),f=\"none\"!==a.get(\"icon-text-fit\"),p=new ve(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],y=i.opacities[m];g?y=o:y||(y=p,i.opacities[m]=y),r[m]=!0;var v=s>0||l>0,x=a.numIconVertices>0,_=i.placedOrientations[a.crossTileID],b=_===t.WritingMode.vertical,w=_===t.WritingMode.horizontal||_===t.WritingMode.horizontalOnly;if(v){var T=Oe(y.text),k=b?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||b?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,_);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var C=Oe(y.icon),L=!(f&&a.verticalPlacedIconSymbolIndex&&b);if(a.placedIconSymbolIndex>=0){var I=L?C:De;d(e.icon,a.numIconVertices,I),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=L?De:C;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var z=e.collisionArrays[n];if(z){var O=new t.Point(0,0);if(z.textBox||z.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(O=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&O._rotate(h?i.transform.angle:-i.transform.angle)):D=!1}z.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||b,O.x,O.y),z.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,O.x,O.y)}var F=Boolean(!w&&z.verticalIconBox);z.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,f?O.x:0,f?O.y:0),z.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,f?O.x:0,f?O.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Ce=Math.pow(2,17),Le=Math.pow(2,16),Ie=Math.pow(2,9),Pe=Math.pow(2,8),ze=Math.pow(2,1);function Oe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Ce+e*Le+r*Ie+e*Pe+r*ze+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,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,a.crossTileID=u.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),i[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),We=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,y=l.content,v=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,v,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:v,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:y}}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 i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var c in this.sourceCaches){var u=this.sourceCaches[c];l[c]=u.used,u.used=!1}for(var h=0,f=this._order;h<f.length;h+=1){var p=f[h],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var m in l){var g=this.sourceCaches[m];l[m]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:m}))}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(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},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._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];i.push(f)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var v=0,x=t;v<x.length;v+=1){var _=x[v][m];if(_)for(var b=0,w=_;b<w.length;b+=1){var T=w[b];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(B(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1){var f=h[u];c.push(o[f])}c.sort(N);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1){var f=h[u];o.push(f)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(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=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];if(\"symbol\"===f.type){if(!l[f.source]){var p=this.sourceCaches[f.source];l[f.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(f,l[f.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var y=g[m],v=this._layers[y];\"symbol\"===v.type&&this.placement.updateLayerOpacities(v,l[v.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);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ye=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=br(\"#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;}\"),$e=br(\"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);}\"),Je=br(\"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);}\"),Ke=br(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=br(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=br(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=br(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=br(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=br(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=br(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=br(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=br(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=br(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=br(\"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);}\"),cr=br(\"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;}\"),ur=br(\"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;}\"),hr=br(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),fr=br(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=br(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=br(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;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);}\"),mr=br(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=br(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=br(\"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;}\"),vr=br(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=br(\"#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);}\"),_r=br(\"#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 br(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:$e,backgroundPattern:Je,circle:Ke,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:cr,fillExtrusionPattern:ur,hillshadePrepare:hr,hillshade:fr,line:pr,lineGradient:dr,linePattern:mr,lineSDF:gr,raster:yr,symbolIcon:vr,symbolSDF:xr,symbolTextAndIcon:_r}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,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);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,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=i,this.boundDynamicVertexBuffer=a,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);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],c=s.concat(l),u=r.staticUniforms?kr(r.staticUniforms):[],h=n?n.getBinderUniforms():[],f=[],p=0,d=u.concat(h);p<d.length;p+=1){var m=d[p];f.indexOf(m)<0&&f.push(m)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Xe.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(Xe.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var _=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(_,v),o.compileShader(_),o.attachShader(this.program,_),this.attributes={};var b={};this.numAttributes=c.length;for(var w=0;w<this.numAttributes;w++)c[w]&&(o.bindAttribLocation(this.program,w,c[w]),this.attributes[c[w]]=w);o.linkProgram(this.program),o.deleteShader(_),o.deleteShader(x);for(var T=0;T<f.length;T++){var k=f[T];if(k&&!b[k]){var A=o.getUniformLocation(this.program,k);A&&(b[k]=A)}}this.fixedUniforms=i(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=t.gl;if(!this.failedToCreate){for(var v in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[v].set(o[v]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],_=0,b=u.get();_<b.length;_+=1){var w=b[_],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Cr=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Cr(e),Mr(n,r,i))},Ir=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},zr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Or=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,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:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=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:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Wr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Zr(r,a);return{u_matrix:Wr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),h=s.getDash(i.to,c),f=u.width*a.fromScale,p=h.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/f,-u.height/2],u_patternscale_b:[l/p,-h.height/2],u_sdfgamma:s.width/(256*Math.min(f,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:h.y,u_mix:a.t})};function Zr(t,e){return 1/ge(t,1,e.tileZoom)}function Wr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Xr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Xr(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 $r,Jr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Qr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,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:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={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_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),u_image_height:new t.Uniform1f(e,r.u_image_height)}},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 nn(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),y=g.getBucket(n);if(y){var v=m.posMatrix;0===a[0]&&0===a[1]||(v=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,_=y.collisionCircleArray;if(_.length>0){var b=t.create(),w=v;t.mul(b,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(b,b,y.placementViewportMatrix),h.push({circleArray:_,circleOffset:p,transform:w,invTransform:b}),p=f+=_.length/4}x&&u.draw(l,c.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Or(v,e.transform,g),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 A=0,M=0,S=h;M<S.length;M+=1)for(var E=S[M],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(A++,I,P,z,O,0),k.emplace(A++,I,P,z,O,1),k.emplace(A++,I,P,z,O,2),k.emplace(A++,I,P,z,O,3)}(!$r||$r.length<2*f)&&($r=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(f));for(var D=l.createIndexBuffer($r,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.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 an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function sn(e,r,n,i,a,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<f.length;g++){var y=f.get(g),v=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||v?null:i[y.crossTileID];if(x){var _=new t.Point(y.anchorX,y.anchorY),b=re(_,n?l:s),w=ne(o.cameraToCenterDistance,b.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(_.add(M),s).point:b.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,C=0;C<y.numGlyphs;C++)t.addDynamicAttributes(p,S,E);h&&y.associatedIconIndex>=0&&(m[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else fe(y.numGlyphs,p)}if(h){d.clear();for(var L=e.icon.placedSymbolArray,I=0;I<L.length;I++){var P=L.get(I);if(P.hidden)fe(P.numGlyphs,d);else{var z=m[I];if(z)for(var O=0;O<P.numGlyphs;O++)t.addDynamicAttributes(d,z.shiftedAnchor,z.angle);else fe(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function cn(e,r,n,i,a,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,y=\"map\"===c,v=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!v,_=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),b=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),C=E.getBucket(n);if(C){var L=a?C.text:C.icon;if(L&&L.segments.get().length){var I=L.programConfigurations.get(n.id),P=a||C.sdfIcons,z=a?C.textSizeData:C.iconSizeData,O=y||0!==m.pitch,D=e.useProgram(ln(P,a,C),I),R=t.evaluateSizeForZoom(z,m.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,C.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===z.kind||\"camera\"===z.kind;V=O||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||C.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),Z=te(S.posMatrix,y,g,e.transform,G),W=ee(S.posMatrix,y,g,e.transform,G),Y=T&&C.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&C.hasIconData();v&&ae(C,S.posMatrix,e,a,Z,W,y,u);var $=e.translatePosMatrix(S.posMatrix,E,o,s),J=v||a&&T||X?an:Z,K=e.translatePosMatrix(W,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:L,uniformValues:P?C.iconsInText?Qr(z.kind,R,x,y,e,$,J,K,F,B):Kr(z.kind,R,x,y,e,$,J,K,a,F,!0):Jr(z.kind,R,x,y,e,$,J,K,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(_&&C.canOverlap){b=!0;for(var et=0,rt=L.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:L.segments,sortKey:0,state:tt})}}}b&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,un(st.buffers,ot.segments,n,e,st.program,w,h,f,lt)),lt.u_is_halo=0}un(st.buffers,ot.segments,n,e,st.program,w,h,f,st.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Lt.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function hn(t,e,r,n,i,a,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var v=y[g],x=e.getTile(v);if(!d||x.patternsLoaded()){var _=x.getBucket(r);if(_){var b=_.programConfigurations.get(r.id),w=t.useProgram(l,b);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),b.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&b.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(v.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=_.indexBuffer2,h=_.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Pr(S,t,m,x,E):Ir(S,E)}else u=_.indexBuffer,h=_.segments,c=d?Lr(S,t,m,x):Cr(S);w.draw(t.context,s,i,t.stencilModeForClipping(v),a,Lt.disabled,c,r.id,_.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,b)}}}}function fn(t,e,r,n,i,a,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 m=d[p],g=e.getTile(m),y=g.getBucket(r);if(y){var v=y.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",v);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),v.updatePaintBuffers(h));var _=c.constantOr(null);if(_&&g.imageAtlas){var b=g.imageAtlas,w=b.patternPositions[_.to.toString()],T=b.patternPositions[_.from.toString()];w&&T&&v.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?Er(k,t,A,f,m,h,g):Sr(k,t,A,f);x.draw(s,s.gl.TRIANGLES,i,a,o,Lt.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,v)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=jr(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Lt.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.dem;if(c&&c.data){var u=c.dim,h=c.stride,f=c.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,f,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var m=new t.Texture(s,{width:u,height:u,data:null},l.RGBA);m.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(u,u,!0)).colorAttachment.set(m.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Lt.disabled,Ur(r.tileID,c),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function mn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.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 gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),vn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),_n=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,vn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,_n)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=Et.disabled,u=e.colorModeForRenderPass(),h=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Lt.disabled,Rr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),m=r.getTile(n).tileSize,g=512/Math.min(m,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,c,Ct.alphaBlended,Lt.disabled,Rr(o,t.Color.transparent,g),h,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),v=ge(d,1,r.transform.zoom),x=te(p.posMatrix,u,c,r.transform,v),_=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(y){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,b,y,_)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&cn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&cn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=Et.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],y=r.getTile(g),v=y.getBucket(n);if(v){var x=v.programConfigurations.get(n.id),_={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:v.layoutVertexBuffer,indexBuffer:v.indexBuffer,uniformValues:zr(e,g,y,n)};if(l)for(var b=0,w=v.segments.get();b<w.length;b+=1){var T=w[b];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:_})}else d.push({segments:v.segments,sortKey:0,state:_})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,C=S.program,L=S.layoutVertexBuffer,I=S.indexBuffer,P=S.uniformValues,z=M.segments;C.draw(c,u.TRIANGLES,h,f,p,Lt.disabled,P,n.id,L,I,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Ct([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Lt.disabled,Br(u.posMatrix,h,m,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(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\",m=e.context,g=m.gl,y=!0,v=0,x=i;v<x.length;v+=1){var _=x[v],b=r.getTile(_);if(!h||b.patternsLoaded()){var w=b.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=u.constantOr(null);if(S&&b.imageAtlas){var E=b.imageAtlas,C=E.patternPositions[S.to.toString()],L=E.patternPositions[S.from.toString()];C&&L&&T.setConstantPatternPositions(C,L)}var I=h?Hr(e,b,n,p):c?Gr(e,b,n,c,p):f?qr(e,b,n,w.lineClipsArray.length):Vr(e,b,n);if(h)m.activeTexture.set(g.TEXTURE0),b.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(c&&(M||e.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m);else if(f){var P=w.gradients[n.id],z=P.texture;if(n.gradientVersion!==P.version){var O=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=_.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-_.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;O=t.clamp(t.nextPowerOfTwo(F),256,m.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:O,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(m,P.gradient,g.RGBA),P.version=n.gradientVersion,z=P.texture}m.activeTexture.set(g.TEXTURE0),z.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Lt.disabled,I,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.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);hn(e,r,n,i,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);hn(e,r,n,i,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Ct.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],c=0,u=s[1];c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,f,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,f,r,a,l[h.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof z?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,m=h;d<m.length;d+=1){var g=m[d],y=t.depthModeForSublayer(g.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),v=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var _=e.findLoadedParent(g,0),b=mn(v,_,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),_?(_.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,_.tileID.overscaledZ-v.tileID.overscaledZ),T=[v.tileID.canonical.x*w%1,v.tileID.canonical.y*w%1]):v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,b,r);o instanceof z?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Lt.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,u[g.overscaledZ],l,Lt.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=Et.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,v=m;y<v.length;y+=1){var x=v[y],_=t.transform.calculatePosMatrix(x.toUnwrapped()),b=c?en(_,i,t,c,{tileID:x,tileSize:l},g):tn(_,i,n);d.draw(a,o.TRIANGLES,f,h,p,Lt.disabled,b,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new It(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.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,Ye.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,Ye.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ye.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.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,Ct.disabled,Lt.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.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(Ct.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Ct.disabled,Lt.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Ct([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ct.unblended:Ct.alphaBlended},Sn.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])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var y=0,v=i;y<v.length;y+=1){var x=v[y],_=this.style._layers[x];if(_.hasOffscreenPass()&&!_.isHidden(this.transform.zoom)){var b=h[_.source];(\"custom\"===_.type||b.length)&&this.renderLayer(this,a[_.source],_,b)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?f:h)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Sn.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),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.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)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.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},Sn.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 Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.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()},Sn.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)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Cn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Cn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Cn(n,i)},Cn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Cn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Cn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var 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 Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var In=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};In.prototype.clone=function(){var t=new In(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},In.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},In.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},In.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)},In.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},In.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.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 Cn([t*a,0,0],[(t+1)*a,a,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 m=u.pop(),g=m.x,y=m.y,v=m.fullyVisible;if(!v){var x=m.aabb.intersects(s);if(0===x)continue;v=2===x}var _=m.aabb.distanceX(o),b=m.aabb.distanceY(o),w=Math.max(Math.abs(_),Math.abs(b)),T=3+(1<<f-m.zoom)-2;if(m.zoom===f||w>T&&m.zoom>=l)h.push({tileID:new t.OverscaledTileID(m.zoom===f?p:m.zoom,m.wrap,m.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:v})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},In.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},In.prototype.zoomScale=function(t){return Math.pow(2,t)},In.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},In.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)},In.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},In.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},In.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},In.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},In.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},In.prototype.coordinateLocation=function(t){return t.toLngLat()},In.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,h=n[2]/a,f=u===h?0:(0-u)/(h-u);return new t.MercatorCoordinate(t.number(o,s,f)/this.worldSize,t.number(l,c,f)/this.worldSize)},In.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])},In.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)))},In.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},In.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])},In.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},In.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},In.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):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+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,v=c.x/2;y-v<s&&(n=s+v),y+v>l&&(n=l-v)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},In.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,h=new Float64Array(16);t.perspective(h,this._fov,this.width/this.height,u,c),h[8]=2*-r.x/this.width,h[9]=2*r.y/this.height,t.scale(h,h,[1,-1,1]),t.translate(h,h,[0,0,-this.cameraToCenterDistance]),t.rotateX(h,h,this._pitch),t.rotateZ(h,h,this.angle),t.translate(h,h,[-s,-l,0]),this.mercatorMatrix=t.scale([],h,[this.worldSize,this.worldSize,this.worldSize]),t.scale(h,h,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=h,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*f+m*p,y=l-Math.round(l)+d*p+m*f,v=new Float64Array(h);if(t.translate(v,v,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=v,h=t.create(),t.scale(h,h,[this.width/2,-this.height/2,1]),t.translate(h,h,[1,-1,0]),this.labelPlaneMatrix=h,h=t.create(),t.scale(h,h,[1,-1,1]),t.translate(h,h,[-1,-1,0]),t.scale(h,h,[2/this.width,2/this.height,1]),this.glCoordMatrix=h,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(h=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=h,this._posMatrixCache={},this._alignedPosMatrixCache={}}},In.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},In.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},In.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(In.prototype,Pn);var zn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};zn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},zn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},zn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),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},zn.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(\"/\")},zn.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},zn.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var On={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},On),Rn=t.extend({deceleration:20,maxSpeed:1400},On),Fn=t.extend({deceleration:1e3,maxSpeed:360},On),Bn=t.extend({deceleration:1e3,maxSpeed:90},On),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var c=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+c.amount,jn(s,c)}if(r.bearing){var u=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),jn(s,u)}if(r.pitch){var h=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+h.amount,jn(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 Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t){this._map=t};Zn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Zn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Zn.prototype.mousedown=function(){this._delayContextMenu=!0},Zn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Zn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Zn.prototype.isEnabled=function(){return!0},Zn.prototype.isActive=function(){return!1},Zn.prototype.enable=function(){},Zn.prototype.disable=function(){};var Wn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Wn.prototype.isEnabled=function(){return!!this._enabled},Wn.prototype.isActive=function(){return!!this._active},Wn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Wn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Wn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Wn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Wn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Wn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Wn.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},Wn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Xn=function(t){this.reset(),this.numTouches=t.numTouches};Xn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Xn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Xn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Xn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var $n=function(t){this.singleTap=new Xn(t),this.numTaps=t.numTaps,this.reset()};$n.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},$n.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},$n.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},$n.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new $n({numTouches:1,numTaps:2}),this._zoomOut=new $n({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn={};Kn[0]=1,Kn[2]=2;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)if(t.preventDefault(),function(t,e){var r=Kn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&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 ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.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),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:h}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._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(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(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=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ui(t){return Math.abs(t.y)>Math.abs(t.x)}var hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}},e}(ii),fi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=fi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var mi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%mi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.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())}},gi.prototype.renderFrame=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)>mi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,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}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var vi=function(){this.reset()};vi.prototype.reset=function(){this._active=!1},vi.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})}}},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new $n({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var _i=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};_i.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},_i.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},_i.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},_i.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var bi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};bi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},bi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},bi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},bi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.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\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Wn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new vi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new hi;this._add(\"touchPitch\",s);var l=new ei(t),c=new ri(t);e.dragRotate=new bi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new ti(t),h=new ni(t);e.dragPan=new _i(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new ci,p=new si;e.touchZoomRotate=new wi(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new pi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new Zn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var v=y[g];t.interactive&&t[v]&&e[v].enable(t[v])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,f,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[f]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var v=i.cameraAnimation;v&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],v(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],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=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=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=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var c=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=c),this._eventsInProgress[l]=e[l]}for(var u in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(u,s[u]);for(var h in o&&this._fireEvent(\"move\",o.originalEvent),e){var f=e[h].originalEvent;this._fireEvent(h,f)}var p,d={};for(var m in this._eventsInProgress){var g=this._eventsInProgress[m],y=g.handlerName,v=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[m],p=r[y]||v,d[m+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var _=Ti(this._eventsInProgress);if(n&&(a||o)&&!_){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};b?(w(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,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)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(y<0||g<0)){var v=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),_=(i.padding.left-i.padding.right)/2,b=(i.padding.top-i.padding.bottom)/2,w=new t.Point(_,b).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(v));return{center:s.unproject(c.add(u).div(2).sub(T)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var y,v,x=i.project(m),_=i.project(g).sub(x),b=i.zoomScale(c-a);e.around&&(y=t.LngLat.convert(e.around),v=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!i.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,h,e)),n._padding&&(i.interpolatePadding(l,f,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,v);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,b):Math.max(.5,b),w=Math.pow(g,1-e),T=i.unproject(x.add(_.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.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:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),y=a.pointLocation(g),v=t.LngLat.convert(e.center||y);this._normalizeCenter(v);var x=a.project(y),_=a.project(v).sub(x),b=e.curve,w=Math.max(a.width,a.height),T=w/d,k=_.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);b=Math.sqrt(M/k*2)}var S=b*b;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 I=E(0),P=function(t){return L(I)/L(I+b*t)},z=function(t){return w*((L(I)*(C(e=I+b*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/b;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))/b,z=function(){return 0},P=function(t){return Math.exp(D*b*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/b:+e.speed;e.duration=1e3*O/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,h,e)),n._pitching&&(a.pitch=t.number(l,f,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var y=1===e?v:a.unproject(x.add(_.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}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),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.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._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),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},Ei.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},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.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\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Ci=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Ci.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},Ci.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Ci.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ci.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Ci.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}},Ci.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 Li=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Li.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Li.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Li.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Li.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ii={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,zi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,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},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,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>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new In(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Li,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ii,e.locale),this._clickTolerance=e.clickTolerance,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 zi))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\",\"_onMapScroll\",\"_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),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new zn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Ci,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new We(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new We(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Oi&&r instanceof Oi){var c=t.browser.getImageData(r),u=c.width,h=c.height,f=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},f),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var 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()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime: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)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,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))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.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},ji.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 Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.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},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({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 Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.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()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.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)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.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))},Ui.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))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={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 Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Zi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!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 a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,u=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<u.length;c+=1){var h=u[c],f=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");f.setAttributeNS(null,\"opacity\",\"0.04\"),f.setAttributeNS(null,\"cx\",\"10.5\"),f.setAttributeNS(null,\"cy\",\"5.80029008\"),f.setAttributeNS(null,\"rx\",h.rx),f.setAttributeNS(null,\"ry\",h.ry),l.appendChild(f)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.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\"),p.appendChild(d);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.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(g);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 v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.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\"),v.appendChild(x),v.appendChild(_),s.appendChild(l),s.appendChild(p),s.appendChild(m),s.appendChild(y),s.appendChild(v),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),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()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(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,qi[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){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(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._pointerdownPos=null,this._isDragging=!1,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._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},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),Wi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Yi=0,Xi=!1,$i=function(e){function n(r){e.call(this),this.options=t.extend({},Wi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Yi=0,Xi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Xi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Zi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Zi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Yi--,Xi=!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\"),++Yi>1?(e={maximumAge:6e5,timeout:0},Xi=!0):(e=this.options.positionOptions,Xi=!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),Ji={maxWidth:100,unit:\"metric\"},Ki=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ki.prototype._onMove=function(){Qi(this._map,this._container,this.options)},Ki.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},Ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ki.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=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\")};ea.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},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.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)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.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())},ea.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 ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),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.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:$i,AttributionControl:Ei,ScaleControl:Ki,FullscreenControl:ea,Popup:ia,Marker:Zi,Style:We,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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 Ft.workerCount},set workerCount(t){Ft.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 oa})),r}()},27549:function(t,e,r){\"use strict\";t.exports=r(55366)},55366:function(t,e,r){\"use strict\";var n=r(31625),i=r(75144),a=r(5137),o=r(78112),s=r(6807),l=r(68650),c=r(83473),u=r(60201),h=r(10275),f=r(62914);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,c=t.length/2;l<c;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},74024:function(t,e,r){\"use strict\";var n=r(59518),i=r(6807),a=r(81330),o=r(38862),s=r(93103),l=r(162),c=r(68950),u=r(66127),h=r(5137),f=r(29388),p=r(4957),d=r(44626),m=r(44431),g=r(27976),y=r(12673),v=r(83473),x=r(54689).nextPow2,_=new s,b=!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&&(b=!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=_.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),_.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 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=v(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,c=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),c&&(t.variant=c)}var u=n.stringify({size:T.baseFontSize,family:t.family,stretch:b?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),h=p(t.size),f=Math.round(h[0]*d(h[1]));if(f!==e.fontSize[r]&&(o=!0,e.fontSize[r]=f),!(e.font[r]&&u==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[u],e.font[r]))){var m=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),b&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:u,family:m,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(m,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[u]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:b?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var _=1;_<t.text.length;_++)this.textOffsets[_]=this.textOffsets[_-1]+t.text[_-1].length,this.count+=t.text[_].length,this.counts.push(t.text[_].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 i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.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);g(t.kerning,m(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),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var C=0;C<S;C++)k[M++]=t.position[A][0],k[M++]=t.position[A][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||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var 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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,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),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 Z=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Z(W,W+4),\"uint8\"),W)}else{var Y=t.color.length;H=u.mallocUint8(4*Y);for(var X=0;X<Y;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 $=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array($);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+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.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},38862:function(t,e,r){\"use strict\";var n=r(6807);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function h(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(f(t.children[r]))}function f(t){for(var e=0;e<t.children.length;e++)h(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)h(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};t.exports=e},26202:function(t,e,r){var n=r(48916);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,c=n.other.pt,(0!==(u=e.pointsCompare(a,l))?u:e.pointsSame(o,c)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:c,s?c:l)?1:-1)<0;var i,a,o,s,l,c,u}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(f)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 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y,v,x=g();if(x)t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=f.seg.myFill,r&&r.segmentUpdate(x.seg),f.other.remove(),f.remove();if(a.getHead()!==f){r&&r.rewind(f.seg);continue}t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below,f.seg.myFill.below=m?m.seg.myFill.above:i,f.seg.myFill.above=v?!f.seg.myFill.below:f.seg.myFill.below):null===f.seg.otherFill&&(y=m?f.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:f.primary?o:i,f.seg.otherFill={above:y,below:y}),r&&r.status(f.seg,!!d&&d.seg,!!m&&m.seg),f.other.status=p.insert(n.node({ev:f}))}else{var _=f.status;if(null===_)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(_.prev)&&s.exists(_.next)&&u(_.prev.ev,_.next.ev),r&&r.statusRemove(_.ev.seg),_.remove(),!f.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},17527:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},3944:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),c=this.read_uint32(n+4),u=this.exif_format_length(l),h=c*u,f=h<=4?n+8:this.read_uint32(n+8),p=!1;if(f+h>this.input.length)throw 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(_.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({},v,t)),a(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 a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=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:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),u):u})),e||r){var f=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*f),b=new Uint8Array(4*f),w=new Float32Array(4*f);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(b.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=h(g,T);p(k),d(b),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.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]]},49478:function(t,e,r){\"use strict\";var n=r(162),i=r(78112),a=r(27976),o=r(6807),s=r(83473),l=r(25782),c=r(90956),u=r(51498),h=u.float32,f=u.fract32,p=r(93103),d=r(5137),m=r(33055);function g(t,e){if(!(this instanceof g))return new g(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=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",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=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\",frag:\"\\nprecision highp float;\\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:i,miter:e}},g.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},g.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()},g.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>g.precisionThreshold||e.scale[1]*e.viewport.height>g.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=g.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},g.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,u=this.gl;if(t.forEach((function(t,p){var y=e.passes[p];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=o(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\",splitNull:\"splitNull\"}),y||(e.passes[p]=y={id:p,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=a({},g.defaults,t)),null!=t.thickness&&(y.thickness=parseFloat(t.thickness)),null!=t.opacity&&(y.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(y.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(y.overlay=!!t.overlay,p<g.maxLines&&(y.depth=2*(g.maxLines-1-p%g.maxLines)/g.maxLines-1)),null!=t.join&&(y.join=t.join),null!=t.hole&&(y.hole=t.hole),null!=t.fill&&(y.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(y.viewport=d(t.viewport)),y.viewport||(y.viewport=d([u.drawingBufferWidth,u.drawingBufferHeight])),null!=t.close&&(y.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,x;if(t.positions.x&&t.positions.y){var _=t.positions.x,b=t.positions.y;x=y.count=Math.max(_.length,b.length),v=new Float64Array(2*x);for(var w=0;w<x;w++)v[2*w]=_[w],v[2*w+1]=b[w]}else v=s(t.positions,\"float64\"),x=y.count=Math.floor(v.length/2);var T=y.bounds=i(v,2);if(y.fill){for(var k=[],A={},M=0,S=0,E=0,C=y.count;S<C;S++){var L=v[2*S],I=v[2*S+1];isNaN(L)||isNaN(I)||null==L||null==I?(L=v[2*M],I=v[2*M+1],A[S]=M):M=S,k[E++]=L,k[E++]=I}if(t.splitNull){y.count-1 in A||(A[y.count]=y.count-1);var P=Object.keys(A).map(Number).sort((function(t,e){return t-e})),z=[],O=0,D=null!=y.hole?y.hole[0]:null;if(null!=D){var R=m(P,(function(t){return t>=D}));(P=P.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*O,2*P[t]).concat(D?k.slice(2*D):[]),r=(y.hole||[]).map((function(e){return e-D+(P[t]-O)})),n=l(e,r);n=n.map((function(e){return e+O+(e+O<P[t]?0:D-P[t])})),z.push.apply(z,n),O=P[t]+1},B=0;B<P.length;B++)F(B);for(var N=0,j=z.length;N<j;N++)null!=A[z[N]]&&(z[N]=A[z[N]]);y.triangles=z}else{for(var U=l(k,y.hole||[]),V=0,q=U.length;V<q;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);y.triangles=U}}var H=new Float64Array(v);c(H,2,T);var G=new Float64Array(2*x+6);y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],y.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]);var Z=h(G);y.positionBuffer(Z);var W=f(G,Z);y.positionFractBuffer(W)}if(t.range?y.range=t.range:y.range||(y.range=y.bounds),(t.range||t.positions)&&y.count){var Y=y.bounds,X=Y[2]-Y[0],$=Y[3]-Y[1],J=y.range[2]-y.range[0],K=y.range[3]-y.range[1];y.scale=[X/J,$/K],y.translate=[-y.range[0]/J+Y[0]/J||0,-y.range[1]/K+Y[1]/K||0],y.scaleFract=f(y.scale),y.translateFract=f(y.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*g.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ht=0;ht<lt;ht++){var ft=n(ct[ht],\"uint8\");ut.set(ft,4*ht)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&v.push(this.passes[x]);return this.passes=v,this}},g.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},62172:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,c=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){c=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(c)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(162),s=r(78112),l=r(46762),c=r(27549),u=r(27976),h=r(76765),f=r(6807),p=r(79788),d=r(83473),m=r(39488),g=r(51498),y=r(5137),v=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),u(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=u({},o);s.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=u({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;if(this.regl,!a)return r?[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var y=f.length;y--;){var v=n(f[y],2),x=v[0],_=v[1];h.push(u({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:_-x}))}return h},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,h=this.maxColors,m=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=f(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=u({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var v=0,_=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),v+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),v+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),_++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),_++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?s(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||u>n)?e.tree=c(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)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var h={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](h):i[u]=o.buffer(h),i[u].data=a[u]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),v){var b=n,w=b.count,T=b.size,k=b.borderSize,A=b.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(_){var E,C=n,L=C.count,I=C.color,P=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(I.length||P.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=I[O];E[8*O]=m[4*D],E[8*O+1]=m[4*D+1],E[8*O+2]=m[4*D+2],E[8*O+3]=m[4*D+3];var R=P[O];E[8*O+4]=m[4*R],E[8*O+5]=m[4*R+1],E[8*O+6]=m[4*R+2],E[8*O+7]=m[4*R+3]}}}else if(I.length||P.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=I[F]&&(E[4*F]=I[F]%h,E[4*F+1]=Math.floor(I[F]/h)),null!=P[F]&&(E[4*F+2]=P[F]%h,E[4*F+3]=Math.floor(P[F]/h))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var c=0;c<t.length;c+=4)a.push(t.subarray(c,c+4));t=a}for(var u=0;u<t.length;u++){var h=t[u];h=o(h,\"uint8\");var f=l(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]}i[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=r(27976);t.exports=function(t,e){var r=new v(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}},31239:function(t,e,r){\"use strict\";var n=r(62172),i=r(6807),a=r(78112),o=r(16494),s=r(27902),l=r(5137),c=r(83473);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,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=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 i=[],a=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++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),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=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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]=a(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 m=s.columns,g=s.count,y=s.viewport.width,v=s.viewport.height,x=s.viewport.x,_=s.viewport.y,b=y/m,w=v/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=h(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.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],I=E[2],P=E[3];M.viewport=[x+C*y+S[0],_+L*v+S[1],x+I*y-S[2],_+P*v-S[3]]}else M.viewport=[x+k*b+b*S[0],_+T*w+w*S[1],x+(k+1)*b-b*S[2],_+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?f(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],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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t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),h[t-h[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=f[o-f[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var h=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(h/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=h[t-h[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a={}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=h[o.year-h[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++)s+=u&1<<12-d?30:29;var m=f[o.year-f[0]],g=new Date(m>>9&4095,(m>>5&15)-1,(31&m)+s);return a.year=g.getFullYear(),a.month=1+g.getMonth(),a.day=g.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a={}}var o=f[i.year-f[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=f[a.year-f[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=h[a.year-h[0]];for(p=0;p<13;p++){var m=d&1<<12-p?30:29;if(l<m)break;l-=m}var g=d>>13;return!g||p<g?(a.isIntercalary=!1,a.month=1+p):p===g?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p),a.day=1+l,a}(e.year(),e.month(),e.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(t){var e=t.match(s),r=this._validateYear(+e[1]),n=+e[2],i=!!e[3],a=this.toMonthIndex(r,n,i),o=+e[4];return this.newDate(r,a,o)},add:function(t,e,r){var n=t.year(),i=t.month(),a=this.isIntercalaryMonth(n,i),s=this.toChineseMonth(n,i),l=Object.getPrototypeOf(o.prototype).add.call(this,t,e,r);if(\"y\"===r){var c=l.year(),u=l.month(),h=this.isIntercalaryMonth(c,s),f=a&&h?this.toMonthIndex(c,s,!0):this.toMonthIndex(c,s,!1);f!==u&&l.month(f)}return l}});var s=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,l=/^\\d?\\d[iI]?/m,c=/^闰?十?[一二三四五六七八九]?月/m,u=/^闰?十?[一二三四五六七八九]?/m;n.calendars.chinese=o;var 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n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Coptic\",jdEpoch:1825029.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Coptic\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Thout\",\"Paopi\",\"Hathor\",\"Koiak\",\"Tobi\",\"Meshir\",\"Paremhat\",\"Paremoude\",\"Pashons\",\"Paoni\",\"Epip\",\"Mesori\",\"Pi Kogi Enavot\"],monthNamesShort:[\"Tho\",\"Pao\",\"Hath\",\"Koi\",\"Tob\",\"Mesh\",\"Pat\",\"Pad\",\"Pash\",\"Pao\",\"Epi\",\"Meso\",\"PiK\"],dayNames:[\"Tkyriaka\",\"Pesnau\",\"Pshoment\",\"Peftoou\",\"Ptiou\",\"Psoou\",\"Psabbaton\"],dayNamesShort:[\"Tky\",\"Pes\",\"Psh\",\"Pef\",\"Pti\",\"Pso\",\"Psa\"],dayNamesMin:[\"Tk\",\"Pes\",\"Psh\",\"Pef\",\"Pt\",\"Pso\",\"Psa\"],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);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 i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.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,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},28569:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Discworld\",jdEpoch:1721425.5,daysPerMonth:[16,32,32,32,32,32,32,32,32,32,32,32,32],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Discworld\",epochs:[\"BUC\",\"UC\"],monthNames:[\"Ick\",\"Offle\",\"February\",\"March\",\"April\",\"May\",\"June\",\"Grune\",\"August\",\"Spune\",\"Sektober\",\"Ember\",\"December\"],monthNamesShort:[\"Ick\",\"Off\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Gru\",\"Aug\",\"Spu\",\"Sek\",\"Emb\",\"Dec\"],dayNames:[\"Sunday\",\"Octeday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Oct\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Oc\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:2,isRTL:!1}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},81133:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Ethiopian\",jdEpoch:1724220.5,daysPerMonth:[30,30,30,30,30,30,30,30,30,30,30,30,5],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Ethiopian\",epochs:[\"BEE\",\"EE\"],monthNames:[\"Meskerem\",\"Tikemet\",\"Hidar\",\"Tahesas\",\"Tir\",\"Yekatit\",\"Megabit\",\"Miazia\",\"Genbot\",\"Sene\",\"Hamle\",\"Nehase\",\"Pagume\"],monthNamesShort:[\"Mes\",\"Tik\",\"Hid\",\"Tah\",\"Tir\",\"Yek\",\"Meg\",\"Mia\",\"Gen\",\"Sen\",\"Ham\",\"Neh\",\"Pag\"],dayNames:[\"Ehud\",\"Segno\",\"Maksegno\",\"Irob\",\"Hamus\",\"Arb\",\"Kidame\"],dayNamesShort:[\"Ehu\",\"Seg\",\"Mak\",\"Iro\",\"Ham\",\"Arb\",\"Kid\"],dayNamesMin:[\"Eh\",\"Se\",\"Ma\",\"Ir\",\"Ha\",\"Ar\",\"Ki\"],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);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 i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.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,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},78295:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],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);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},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 t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+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=a},25512:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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-khamīs\",\"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 i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.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=a},42645:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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 i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.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),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},62324:function(t,e,r){var n=r(24453),i=r(27976);function a(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}a.prototype=new n.baseCalendar,i(a.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 i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o(8+(t-=this.jdEpoch)+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s(20+(t-=this.jdEpoch),20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.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=a},91662:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.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 i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+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=a},66445:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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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 i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/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),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.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 i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.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},41858:function(t,e,r){var n=r(24453),i=r(27976),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.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 i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.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},57985:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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-Thalāthā’\",\"Yawm al-Arba‘ā’\",\"Yawm al-Khamīs\",\"Yawm al-Jum‘a\",\"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,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-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 i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=r(27976);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(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(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(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 a(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),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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t=ae(e);if(r){if(r===t)continue;r=dt;break}r=t}return _t(r||dt,e)}return pt}function oe(t){const e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Xt||t instanceof Kt||t instanceof Qt||t instanceof ee||t instanceof re?t.toString():JSON.stringify(t)}class se{constructor(t,e){this.type=t,this.value=e}static parse(t,e){if(2!==t.length)return e.error(`'literal' expression requires exactly one argument, but found ${t.length-1} instead.`);if(!ie(t[1]))return e.error(\"invalid value\");const r=t[1];let n=ae(r);const i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new se(n,r)}evaluate(){return this.value}eachChild(){}outputDefined(){return!0}}class le{constructor(t){this.name=\"ExpressionEvaluationError\",this.message=t}toJSON(){return this.message}}const ce={string:ut,number:ct,boolean:ht,object:pt};class ue{constructor(t,e){this.type=t,this.args=e}static 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st,a=[]){this.registry=t,this.path=r,this.key=r.map((t=>`[${t}]`)).join(\"\"),this.scope=i,this.errors=a,this.expectedType=n,this._isConstant=e}parse(t,e,r,n,i={}){return e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)}_parse(t,e){function r(t,e,r){return\"assert\"===r?new ue(e,[t]):\"coerce\"===r?new fe(e,[t]):t}if(null!==t&&\"string\"!=typeof t&&\"boolean\"!=typeof t&&\"number\"!=typeof t||(t=[\"literal\",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. 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be{constructor(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a}static parse(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.\");let r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);const i={},a=[];for(let o=2;o<t.length-1;o+=2){let s=t[o];const l=t[o+1];Array.isArray(s)||(s=[s]);const c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(const t of s){if(\"number\"!=typeof t&&\"string\"!=typeof t)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof t&&Math.abs(t)>Number.MAX_SAFE_INTEGER)return c.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(\"number\"==typeof t&&Math.floor(t)!==t)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(t)))return null}else r=ae(t);if(void 0!==i[String(t)])return c.error(\"Branch labels must be unique.\");i[String(t)]=a.length}const u=e.parse(l,o,n);if(!u)return null;n=n||u.type,a.push(u)}const o=e.parse(t[1],1,dt);if(!o)return null;const s=e.parse(t[t.length-1],t.length-1,n);return s?\"value\"!==o.type.kind&&e.concat(1).checkSubtype(r,o.type)?null:new be(r,n,o,i,a,s):null}evaluate(t){const e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)}eachChild(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)}outputDefined(){return this.outputs.every((t=>t.outputDefined()))&&this.otherwise.outputDefined()}}class we{constructor(t,e,r){this.type=t,this.branches=e,this.otherwise=r}static parse(t,e){if(t.length<4)return e.error(`Expected at least 3 arguments, but found only ${t.length-1}.`);if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");let 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Qt(Ie(t.values,e.values,r))},variableAnchorOffsetCollection:function(t,e,r){const n=t.values,i=e.values;if(n.length!==i.length)throw new le(`Cannot interpolate values of different length. from: ${t.toString()}, to: ${e.toString()}`);const a=[];for(let t=0;t<n.length;t+=2){if(n[t]!==i[t])throw new le(`Cannot interpolate values containing mismatched anchors. from[${t}]: ${n[t]}, to[${t}]: ${i[t]}`);a.push(n[t]);const[e,o]=n[t+1],[s,l]=i[t+1];a.push([Le(e,s,r),Le(o,l,r)])}return new ee(a)}};class ze{constructor(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(const[t,e]of i)this.labels.push(t),this.outputs.push(e)}static interpolationFactor(t,e,r,n){let i=0;if(\"exponential\"===t.name)i=Oe(e,t.base,r,n);else if(\"linear\"===t.name)i=Oe(e,1,r,n);else if(\"cubic-bezier\"===t.name){const a=t.controlPoints;i=new Ce(a[0],a[1],a[2],a[3]).solve(Oe(e,1,r,n))}return i}static 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e.error(\"Expected one argument.\");const r=t[1];if(\"object\"!=typeof r||Array.isArray(r))return e.error(\"Collator options argument must be an object.\");const n=e.parse(void 0!==r[\"case-sensitive\"]&&r[\"case-sensitive\"],1,ht);if(!n)return null;const i=e.parse(void 0!==r[\"diacritic-sensitive\"]&&r[\"diacritic-sensitive\"],1,ht);if(!i)return null;let a=null;return r.locale&&(a=e.parse(r.locale,1,ut),!a)?null:new Ge(n,i,a)}evaluate(t){return new $t(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)}eachChild(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale)}outputDefined(){return!1}}class Ze{constructor(t,e,r,n,i){this.type=ut,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i}static parse(t,e){if(3!==t.length)return e.error(\"Expected two arguments.\");const r=e.parse(t[1],1,ct);if(!r)return null;const n=t[2];if(\"object\"!=typeof n||Array.isArray(n))return e.error(\"NumberFormat options argument must be an object.\");let i=null;if(n.locale&&(i=e.parse(n.locale,1,ut),!i))return null;let a=null;if(n.currency&&(a=e.parse(n.currency,1,ut),!a))return null;let o=null;if(n[\"min-fraction-digits\"]&&(o=e.parse(n[\"min-fraction-digits\"],1,ct),!o))return null;let s=null;return n[\"max-fraction-digits\"]&&(s=e.parse(n[\"max-fraction-digits\"],1,ct),!s)?null:new Ze(r,i,a,o,s)}evaluate(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))}eachChild(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)}outputDefined(){return!1}}class We{constructor(t){this.type=gt,this.sections=t}static parse(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");const r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");const n=[];let i=!1;for(let r=1;r<=t.length-1;++r){const a=t[r];if(i&&\"object\"==typeof a&&!Array.isArray(a)){i=!1;let t=null;if(a[\"font-scale\"]&&(t=e.parse(a[\"font-scale\"],1,ct),!t))return null;let r=null;if(a[\"text-font\"]&&(r=e.parse(a[\"text-font\"],1,_t(ut)),!r))return null;let o=null;if(a[\"text-color\"]&&(o=e.parse(a[\"text-color\"],1,ft),!o))return null;const s=n[n.length-1];s.scale=t,s.font=r,s.textColor=o}else{const a=e.parse(t[r],1,dt);if(!a)return null;const 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r=Math.pow(2,e.z),n=(t[0]/$e+e.x)/r,i=(t[1]/$e+e.y)/r;return[(o=n,360*o-180),(a=i,360/Math.PI*Math.atan(Math.exp((180-360*a)*Math.PI/180))-90)];var a,o}function Qe(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1])}function tr(t,e){return!(t[0]<=e[0]||t[2]>=e[2]||t[1]<=e[1]||t[3]>=e[3])}function er(t,e,r){const n=t[0]-e[0],i=t[1]-e[1],a=t[0]-r[0],o=t[1]-r[1];return n*o-a*i==0&&n*a<=0&&i*o<=0}function rr(t,e,r,n){const i=[e[0]-t[0],e[1]-t[1]];return 0!=(a=[n[0]-r[0],n[1]-r[1]],o=i,a[0]*o[1]-a[1]*o[0])&&!(!lr(t,e,r,n)||!lr(r,n,t,e));var a,o}function nr(t,e,r){for(const n of r)for(let r=0;r<n.length-1;++r)if(rr(t,e,n[r],n[r+1]))return!0;return!1}function ir(t,e,r=!1){let n=!1;for(const s of e)for(let e=0;e<s.length-1;e++){if(er(t,s[e],s[e+1]))return r;i=t,a=s[e],o=s[e+1],a[1]>i[1]!=o[1]>i[1]&&i[0]<(o[0]-a[0])*(i[1]-a[1])/(o[1]-a[1])+a[0]&&(n=!n)}var i,a,o;return n}function ar(t,e){for(const r of e)if(ir(t,r))return!0;return!1}function 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Object.keys(this._values))if(this._values[t].prior)return!0;return!1}}class $i{constructor(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)}hasValue(t){return void 0!==this._values[t].value}getValue(t){return b(this._values[t].value)}setValue(t,e){this._values[t]=new Gi(this._values[t].property,null===e?void 0:b(e))}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r)}return t}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}}class Ji{constructor(t,e,r){this.property=t,this.value=e,this.parameters=r}isConstant(){return\"constant\"===this.value.kind}constantOr(t){return\"constant\"===this.value.kind?this.value.value:t}evaluate(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)}}class Ki{constructor(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)}get(t){return this._values[t]}}class Qi{constructor(t){this.specification=t}possiblyEvaluate(t,e){if(t.isDataDriven())throw new Error(\"Value should not be data driven\");return t.expression.evaluate(e)}interpolate(t,e,r){const n=this.specification.type,i=Pe[n];return i?i(t,e,r):t}}class ta{constructor(t,e){this.specification=t,this.overrides=e}possiblyEvaluate(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ji(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ji(this,t.expression,e)}interpolate(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 Ji(this,{kind:\"constant\",value:void 0},t.parameters);const n=this.specification.type,i=Pe[n];if(i){const n=i(t.value.value,e.value.value,r);return new Ji(this,{kind:\"constant\",value:n},t.parameters)}return t}evaluate(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)}}class ea extends ta{possiblyEvaluate(t,e,r,n){if(void 0===t.value)return new Ji(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ji(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){const r=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 Ji(this,{kind:\"constant\",value:r},e)}return new Ji(this,t.expression,e)}evaluate(t,e,r,n,i,a){if(\"source\"===t.kind){const o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class ra{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Hi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom+1),e)),e)}}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class na{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)}interpolate(){return!1}}class ia{constructor(t){this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(const e in t){const r=t[e];r.specification.overridable&&this.overridableProperties.push(e);const n=this.defaultPropertyValues[e]=new Gi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Zi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}}}Mi(\"DataDrivenProperty\",ta),Mi(\"DataConstantProperty\",Qi),Mi(\"CrossFadedDataDrivenProperty\",ea),Mi(\"CrossFadedProperty\",ra),Mi(\"ColorRampProperty\",na);const aa=\"-transition\";class oa extends G{constructor(t,e){if(super(),this.id=t.id,this.type=t.type,this._featureFilter={filter:()=>!0,needGeometry:!1},\"custom\"!==t.type&&(this.metadata=t.metadata,this.minzoom=t.minzoom,this.maxzoom=t.maxzoom,\"background\"!==t.type&&(this.source=t.source,this.sourceLayer=t[\"source-layer\"],this.filter=t.filter),e.layout&&(this._unevaluatedLayout=new $i(e.layout)),e.paint)){this._transitionablePaint=new Wi(e.paint);for(const e in t.paint)this.setPaintProperty(e,t.paint[e],{validate:!1});for(const e in t.layout)this.setLayoutProperty(e,t.layout[e],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ki(e.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)}setLayoutProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.layout.${t}`;if(this._validate(wi,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e}getPaintProperty(t){return t.endsWith(aa)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)}setPaintProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.paint.${t}`;if(this._validate(bi,n,t,e,r))return!1}if(t.endsWith(aa))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;{const r=this._transitionablePaint._values[t],n=\"cross-faded-data-driven\"===r.property.specification[\"property-type\"],i=r.value.isDataDriven(),a=r.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);const o=this._transitionablePaint._values[t].value;return o.isDataDriven()||i||n||this._handleOverridablePaintPropertyUpdate(t,a,o)}}_handleSpecialPaintPropertyUpdate(t){}_handleOverridablePaintPropertyUpdate(t,e,r){return!1}isHidden(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility}updateTransitions(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)}serialize(){const 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),_(t,((t,e)=>!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)))}_validate(t,e,r,n,i={}){return(!i||!1!==i.validate)&&Ti(this,t.call(vi,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Z,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(const t in this.paint._values){const e=this.paint.get(t);if(e instanceof Ji&&hn(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1}}const sa={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class la{constructor(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}}class ca{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}}static deserialize(t){const e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(t){this.reserve(t),this.length=t}reserve(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);const e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function ua(t,e=1){let r=0,n=0;return{members:t.map((t=>{const i=(s=t.type,sa[s].BYTES_PER_ELEMENT),a=r=ha(r,Math.max(e,i)),o=t.components||1;var s;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ha(r,Math.max(n,e)),alignment:e}}function ha(t,e){return Math.ceil(t/e)*e}class fa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t}}fa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2i4\",fa);class pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t}}pa.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3i6\",pa);class da extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t}}da.prototype.bytesPerElement=8,Mi(\"StructArrayLayout4i8\",da);class ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}ma.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i4i12\",ma);class ga extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t}}ga.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2i4ub8\",ga);class ya extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t}}ya.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2f8\",ya);class va extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c){const u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)}emplace(t,e,r,n,i,a,o,s,l,c,u){const h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t}}va.prototype.bytesPerElement=20,Mi(\"StructArrayLayout10ui20\",va);class xa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h){const f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t}}xa.prototype.bytesPerElement=24,Mi(\"StructArrayLayout4i4ui4i24\",xa);class _a extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t}}_a.prototype.bytesPerElement=12,Mi(\"StructArrayLayout3f12\",_a);class ba extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint32[r+0]=e,t}}ba.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1ul4\",ba);class wa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l){const c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)}emplace(t,e,r,n,i,a,o,s,l,c){const u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t}}wa.prototype.bytesPerElement=20,Mi(\"StructArrayLayout6i1ul2ui20\",wa);class Ta extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}Ta.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i2i2i12\",Ta);class ka extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i){const a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)}emplace(t,e,r,n,i,a){const o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t}}ka.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2f1f2i16\",ka);class Aa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=16*t,l=4*t,c=8*t;return this.uint8[s+0]=e,this.uint8[s+1]=r,this.float32[l+1]=n,this.float32[l+2]=i,this.int16[c+6]=a,this.int16[c+7]=o,t}}Aa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2ub2f2i16\",Aa);class Ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t}}Ma.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3ui6\",Ma);class Sa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=24*t,x=12*t,_=48*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[_+36]=p,this.uint8[_+37]=d,this.uint8[_+38]=m,this.uint32[x+10]=g,this.int16[v+22]=y,t}}Sa.prototype.bytesPerElement=48,Mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Sa);class Ea extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S){const E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E){const C=32*t,L=16*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=x,this.uint16[C+19]=_,this.uint16[C+20]=b,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=A,this.float32[L+14]=M,this.uint16[C+30]=S,this.uint16[C+31]=E,t}}Ea.prototype.bytesPerElement=64,Mi(\"StructArrayLayout8i15ui1ul2f2ui64\",Ea);class Ca extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.float32[r+0]=e,t}}Ca.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1f4\",Ca);class La extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=6*t,a=3*t;return this.uint16[i+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t}}La.prototype.bytesPerElement=12,Mi(\"StructArrayLayout1ui2f12\",La);class Ia extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t}}Ia.prototype.bytesPerElement=8,Mi(\"StructArrayLayout1ul2ui8\",Ia);class Pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t}}Pa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2ui4\",Pa);class za extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint16[r+0]=e,t}}za.prototype.bytesPerElement=2,Mi(\"StructArrayLayout1ui2\",za);class Oa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t}}Oa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout4f16\",Oa);class Da extends la{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}}Da.prototype.size=20;class Ra extends wa{get(t){return new Da(this,t)}}Mi(\"CollisionBoxArray\",Ra);class Fa extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(t){this._structArray.uint8[this._pos1+37]=t}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(t){this._structArray.uint8[this._pos1+38]=t}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(t){this._structArray.uint32[this._pos4+10]=t}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Fa.prototype.size=48;class Ba extends Sa{get(t){return new Fa(this,t)}}Mi(\"PlacedSymbolArray\",Ba);class Na extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(t){this._structArray.uint32[this._pos4+12]=t}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}Na.prototype.size=64;class ja extends Ea{get(t){return new Na(this,t)}}Mi(\"SymbolInstanceArray\",ja);class Ua extends Ca{getoffsetX(t){return this.float32[1*t+0]}}Mi(\"GlyphOffsetArray\",Ua);class Va extends pa{getx(t){return this.int16[3*t+0]}gety(t){return this.int16[3*t+1]}gettileUnitDistanceFromAnchor(t){return this.int16[3*t+2]}}Mi(\"SymbolLineVertexArray\",Va);class qa extends la{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}qa.prototype.size=12;class Ha extends La{get(t){return new qa(this,t)}}Mi(\"TextAnchorOffsetArray\",Ha);class Ga extends la{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ga.prototype.size=8;class Za extends Ia{get(t){return new Ga(this,t)}}Mi(\"FeatureIndexArray\",Za);class Wa extends fa{}class Ya extends fa{}class Xa extends fa{}class $a extends ma{}class Ja extends ga{}class Ka extends ya{}class Qa extends va{}class to extends xa{}class eo extends _a{}class ro extends ba{}class no extends Ta{}class io extends Aa{}class ao extends Ma{}class oo extends Pa{}const so=ua([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:lo,size:co,alignment:uo}=so;class ho{constructor(t=[]){this.segments=t}prepareSegment(t,e,r,n){let i=this.segments[this.segments.length-1];return t>ho.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${ho.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${t}`),(!i||i.vertexLength+t>ho.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i}get(){return this.segments}destroy(){for(const t of this.segments)for(const e in t.vaos)t.vaos[e].destroy()}static simpleSegment(t,e,r,n){return new ho([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])}}function fo(t,e){return 256*(t=m(Math.floor(t),0,255))+m(Math.floor(e),0,255)}ho.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Mi(\"SegmentVector\",ho);const po=ua([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var mo={exports:{}},go={exports:{}};!function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}(go);var yo=go.exports,vo={exports:{}};!function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}(vo);var xo=yo,_o=vo.exports;mo.exports=xo,mo.exports.murmur3=xo,mo.exports.murmur2=_o;var bo=r(mo.exports);class wo{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(t,e,r,n){this.ids.push(To(t)),this.positions.push(e,r,n)}getPositions(t){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");const e=To(t);let r=0,n=this.ids.length-1;for(;r<n;){const t=r+n>>1;this.ids[t]>=e?n=t:r=t+1}const i=[];for(;this.ids[r]===e;){const t=this.positions[3*r],e=this.positions[3*r+1],n=this.positions[3*r+2];i.push({index:t,start:e,end:n}),r++}return i}static serialize(t,e){const r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return ko(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}}static deserialize(t){const e=new wo;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e}}function To(t){const e=+t;return!isNaN(e)&&e<=Number.MAX_SAFE_INTEGER?e:bo(String(t))}function ko(t,e,r,n){for(;r<n;){const i=t[r+n>>1];let a=r-1,o=n+1;for(;;){do{a++}while(t[a]<i);do{o--}while(t[o]>i);if(a>=o)break;Ao(t,a,o),Ao(e,3*a,3*o),Ao(e,3*a+1,3*o+1),Ao(e,3*a+2,3*o+2)}o-r<n-o?(ko(t,e,r,o),r=o+1):(ko(t,e,o+1,n),n=o)}}function Ao(t,e,r){const n=t[e];t[e]=t[r],t[r]=n}Mi(\"FeaturePositionMap\",wo);class Mo{constructor(t,e){this.gl=t.gl,this.location=e}}class So extends Mo{constructor(t,e){super(t,e),this.current=0}set(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))}}class Eo extends Mo{constructor(t,e){super(t,e),this.current=[0,0,0,0]}set(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]))}}class Co extends Mo{constructor(t,e){super(t,e),this.current=Xt.transparent}set(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))}}const Lo=new Float32Array(16);function Io(t){return[fo(255*t.r,255*t.g),fo(255*t.b,255*t.a)]}class Po{constructor(t,e,r){this.value=t,this.uniformNames=e.map((t=>`u_${t}`)),this.type=r}setUniform(t,e,r){t.set(r.constantOr(this.value))}getBinding(t,e,r){return\"color\"===this.type?new Co(t,e):new So(t,e)}}class zo{constructor(t,e){this.uniformNames=e.map((t=>`u_${t}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr}setUniform(t,e,r,n){const i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)}getBinding(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Eo(t,e):new So(t,e)}}class Oo{constructor(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?2:1,offset:0}))),this.paintVertexArray=new n}populatePaintArray(t,e,r,n,i){const a=this.paintVertexArray.length,o=this.expression.evaluate(new Hi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)}_setPaintValue(t,e,r){if(\"color\"===this.type){const n=Io(r);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,n[0],n[1])}else{for(let n=t;n<e;n++)this.paintVertexArray.emplace(n,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}}upload(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))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Do{constructor(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((t=>`u_${t}_t`)),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?4:2,offset:0}))),this.paintVertexArray=new a}populatePaintArray(t,e,r,n,i){const a=this.expression.evaluate(new Hi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Hi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)}_setPaintValue(t,e,r,n){if(\"color\"===this.type){const i=Io(r),a=Io(n);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,i[0],i[1],a[0],a[1])}else{for(let i=t;i<e;i++)this.paintVertexArray.emplace(i,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}}upload(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))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(t,e){const r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=m(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)}getBinding(t,e,r){return new So(t,e)}}class Ro{constructor(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i}populatePaintArray(t,e,r){const n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)}updatePaintArray(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)}_setPaintValues(t,e,r,n){if(!n||!r)return;const{min:i,mid:a,max:o}=r,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(let r=t;r<e;r++)this.zoomInPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}upload(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,po.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,po.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Fo{constructor(t,e,r){this.binders={},this._buffers=[];const n=[];for(const i in t.paint._values){if(!r(i))continue;const a=t.paint.get(i);if(!(a instanceof Ji&&hn(a.property.specification)))continue;const o=No(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new zo(s.value,o):new Po(s.value,o,l),n.push(`/u_${i}`);else if(\"source\"===s.kind||h){const r=jo(i,l,\"source\");this.binders[i]=h?new Ro(s,l,c,e,r,t.id):new Oo(s,o,l,r),n.push(`/a_${i}`)}else{const t=jo(i,l,\"composite\");this.binders[i]=new Do(s,o,l,c,e,t),n.push(`/z_${i}`)}}this.cacheKey=n.sort().join(\"\")}getMaxValue(t){const e=this.binders[t];return e instanceof Oo||e instanceof Do?e.maxValue:0}populatePaintArrays(t,e,r,n,i){for(const a in this.binders){const o=this.binders[a];(o instanceof Oo||o instanceof Do||o instanceof Ro)&&o.populatePaintArray(t,e,r,n,i)}}setConstantPatternPositions(t,e){for(const r in this.binders){const n=this.binders[r];n instanceof zo&&n.setConstantPatternPositions(t,e)}}updatePaintArrays(t,e,r,n,i){let a=!1;for(const o in t){const s=e.getPositions(o);for(const e of s){const s=r.feature(e.index);for(const r in this.binders){const l=this.binders[r];if((l instanceof Oo||l instanceof Do||l instanceof Ro)&&!0===l.expression.isStateDependent){const c=n.paint.get(r);l.expression=c.value,l.updatePaintArray(e.start,e.end,s,t[o],i),a=!0}}}}return a}defines(){const t=[];for(const e in this.binders){const r=this.binders[e];(r instanceof Po||r instanceof zo)&&t.push(...r.uniformNames.map((t=>`#define HAS_UNIFORM_${t}`)))}return t}getBinderAttributes(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Oo||r instanceof Do)for(let e=0;e<r.paintVertexAttributes.length;e++)t.push(r.paintVertexAttributes[e].name);else if(r instanceof Ro)for(let e=0;e<po.members.length;e++)t.push(po.members[e].name)}return t}getBinderUniforms(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Po||r instanceof zo||r instanceof Do)for(const e of r.uniformNames)t.push(e)}return t}getPaintVertexBuffers(){return this._buffers}getUniforms(t,e){const r=[];for(const n in this.binders){const i=this.binders[n];if(i instanceof Po||i instanceof zo||i instanceof Do)for(const a of i.uniformNames)if(e[a]){const o=i.getBinding(t,e[a],a);r.push({name:a,property:n,binding:o})}}return r}setUniforms(t,e,r,n){for(const{name:t,property:i,binding:a}of e)this.binders[i].setUniform(a,n,r.get(i),t)}updatePaintBuffers(t){this._buffers=[];for(const e in this.binders){const r=this.binders[e];if(t&&r instanceof Ro){const e=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;e&&this._buffers.push(e)}else(r instanceof Oo||r instanceof Do)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}}upload(t){for(const e in this.binders){const r=this.binders[e];(r instanceof Oo||r instanceof Do||r instanceof Ro)&&r.upload(t)}this.updatePaintBuffers()}destroy(){for(const t in this.binders){const e=this.binders[t];(e instanceof Oo||e instanceof Do||e instanceof Ro)&&e.destroy()}}}class Bo{constructor(t,e,r=(()=>!0)){this.programConfigurations={};for(const n of t)this.programConfigurations[n.id]=new Fo(n,e,r);this.needsUpload=!1,this._featureMap=new wo,this._bufferOffset=0}populatePaintArrays(t,e,r,n,i,a){for(const r in this.programConfigurations)this.programConfigurations[r].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0}updatePaintArrays(t,e,r,n){for(const i of r)this.needsUpload=this.programConfigurations[i.id].updatePaintArrays(t,this._featureMap,e,i,n)||this.needsUpload}get(t){return this.programConfigurations[t]}upload(t){if(this.needsUpload){for(const e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}}destroy(){for(const t in this.programConfigurations)this.programConfigurations[t].destroy()}}function No(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 jo(t,e,r){const n={color:{source:ya,composite:Oa},number:{source:Ca,composite:ya}},i=function(t){return{\"line-pattern\":{source:Qa,composite:Qa},\"fill-pattern\":{source:Qa,composite:Qa},\"fill-extrusion-pattern\":{source:Qa,composite:Qa}}[t]}(t);return 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Ya,this.indexArray=new ao,this.segments=new ho,this.programConfigurations=new Bo(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){const n=this.layers[0],i=[];let a=null,o=!1;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"),o=!a.isConstant());for(const{feature:e,id:n,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=o?a.evaluate(c,{},r):void 0,h={id:n,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};i.push(h)}o&&i.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of i){const{geometry:i,index:a,sourceLayerIndex:o}=n,s=t[a].feature;this.addFeature(n,i,a,r),e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,lo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}addFeature(t,e,r,n){for(const r of e)for(const e of r){const r=e.x,n=e.y;if(r<0||r>=Uo||n<0||n>=Uo)continue;const i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),a=i.vertexLength;Zo(this.layoutVertexArray,r,n,-1,-1),Zo(this.layoutVertexArray,r,n,1,-1),Zo(this.layoutVertexArray,r,n,1,1),Zo(this.layoutVertexArray,r,n,-1,1),this.indexArray.emplaceBack(a,a+1,a+2),this.indexArray.emplaceBack(a,a+3,a+2),i.vertexLength+=4,i.primitiveLength+=2}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)}}function Yo(t,e){for(let r=0;r<t.length;r++)if(ns(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(ns(t,e[r]))return!0;return!!Ko(t,e)}function Xo(t,e,r){return!!ns(t,e)||!!ts(e,t,r)}function $o(t,e){if(1===t.length)return rs(e,t[0]);for(let r=0;r<e.length;r++){const n=e[r];for(let e=0;e<n.length;e++)if(ns(t,n[e]))return!0}for(let r=0;r<t.length;r++)if(rs(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(Ko(t,e[r]))return!0;return!1}function Jo(t,e,r){if(t.length>1){if(Ko(t,e))return!0;for(let n=0;n<e.length;n++)if(ts(e[n],t,r))return!0}for(let 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Qi(Z.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new Qi(Z.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new Qi(Z.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new Qi(Z.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new ta(Z.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new ta(Z.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new ta(Z.paint_circle[\"circle-stroke-opacity\"])})},get layout(){return ls=ls||new ia({\"circle-sort-key\":new ta(Z.layout_circle[\"circle-sort-key\"])})}},hs=1e-6,fs=\"undefined\"!=typeof Float32Array?Float32Array:Array;function ps(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}function ds(t,e,r){var n=e[0],i=e[1],a=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],m=e[12],g=e[13],y=e[14],v=e[15],x=r[0],_=r[1],b=r[2],w=r[3];return t[0]=x*n+_*s+b*h+w*m,t[1]=x*i+_*l+b*f+w*g,t[2]=x*a+_*c+b*p+w*y,t[3]=x*o+_*u+b*d+w*v,x=r[4],_=r[5],b=r[6],w=r[7],t[4]=x*n+_*s+b*h+w*m,t[5]=x*i+_*l+b*f+w*g,t[6]=x*a+_*c+b*p+w*y,t[7]=x*o+_*u+b*d+w*v,x=r[8],_=r[9],b=r[10],w=r[11],t[8]=x*n+_*s+b*h+w*m,t[9]=x*i+_*l+b*f+w*g,t[10]=x*a+_*c+b*p+w*y,t[11]=x*o+_*u+b*d+w*v,x=r[12],_=r[13],b=r[14],w=r[15],t[12]=x*n+_*s+b*h+w*m,t[13]=x*i+_*l+b*f+w*g,t[14]=x*a+_*c+b*p+w*y,t[15]=x*o+_*u+b*d+w*v,t}Math.hypot||(Math.hypot=function(){for(var t=0,e=arguments.length;e--;)t+=arguments[e]*arguments[e];return Math.sqrt(t)});var ms=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(a=1/(n-i),t[10]=(i+n)*a,t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t};var gs=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t};var ys=ds;function vs(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}var xs,_s=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t};xs=new fs(4),fs!=Float32Array&&(xs[0]=0,xs[1]=0,xs[2]=0,xs[3]=0);class bs extends oa{constructor(t){super(t,us)}createBucket(t){return new Wo(t)}queryRadius(t){const e=t;return as(\"circle-radius\",this,e)+as(\"circle-stroke-width\",this,e)+os(this.paint.get(\"circle-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o,s){const l=ss(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),a.angle,o),c=this.paint.get(\"circle-radius\").evaluate(e,r)+this.paint.get(\"circle-stroke-width\").evaluate(e,r),u=\"map\"===this.paint.get(\"circle-pitch-alignment\"),h=u?l:function(t,e){return t.map((t=>ws(t,e)))}(l,s),f=u?c*o:c;for(const t of n)for(const e of t){const t=u?e:ws(e,s);let r=f;const n=vs([],[e.x,e.y,0,1],s);if(\"viewport\"===this.paint.get(\"circle-pitch-scale\")&&\"map\"===this.paint.get(\"circle-pitch-alignment\")?r*=n[3]/a.cameraToCenterDistance:\"map\"===this.paint.get(\"circle-pitch-scale\")&&\"viewport\"===this.paint.get(\"circle-pitch-alignment\")&&(r*=a.cameraToCenterDistance/n[3]),Xo(h,t,r))return!0}return!1}}function ws(t,e){const r=vs([],[t.x,t.y,0,1],e);return new a(r[0]/r[3],r[1]/r[3])}class Ts extends Wo{}let ks;Mi(\"HeatmapBucket\",Ts,{omit:[\"layers\"]});var As={get paint(){return ks=ks||new ia({\"heatmap-radius\":new 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ta(Z.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Qi(Z.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Qi(Z.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new ea(Z.paint_fill[\"fill-pattern\"])})},get layout(){return dl=dl||new ia({\"fill-sort-key\":new ta(Z.layout_fill[\"fill-sort-key\"])})}};class yl extends oa{constructor(t){super(t,gl)}recalculate(t,e){super.recalculate(t,e);const r=this.paint._values[\"fill-outline-color\"];\"constant\"===r.value.kind&&void 0===r.value.value&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(t){return new pl(t)}queryRadius(){return os(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o){return $o(ss(t,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),a.angle,o),n)}isTileClipped(){return!0}}const vl=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),xl=ua([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:_l,size:bl,alignment:wl}=vl;var Tl={},kl=n,Al=Ml;function Ml(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Sl,this,e)}function Sl(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function El(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ml.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Ml.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,a=0,o=0,s=[];t.pos<r;){if(i<=0){var l=t.readVarint();n=7&l,i=l>>3}if(i--,1===n||2===n)a+=t.readSVarint(),o+=t.readSVarint(),1===n&&(e&&s.push(e),e=[]),e.push(new kl(a,o));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&s.push(e),s},Ml.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ml.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ml.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var h=[];for(n=0;n<l.length;n++)h[n]=l[n][0];u(l=h);break;case 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,i=[],a=0;a<e;a++){var o=El(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}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 Cl=Al,Ll=Il;function Il(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(Pl,this,e),this.length=this._features.length}function Pl(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))}Il.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 Cl(this._pbf,e,this.extent,this._keys,this._values)};var zl=Ll,Ol=function(t,e){this.layers=t.readFields(Dl,{},e)};function Dl(t,e,r){if(3===t){var n=new zl(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Tl.VectorTile=Ol,Tl.VectorTileFeature=Al,Tl.VectorTileLayer=Ll;const Rl=Tl.VectorTileFeature.types,Fl=Math.pow(2,13);function Bl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Fl)+o,i*Fl*2,a*Fl*2,Math.round(s))}class Nl{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new $a,this.centroidVertexArray=new Wa,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.features=[],this.hasPattern=hl(\"fill-extrusion\",this.layers,e);for(const{feature:n,id:i,index:a,sourceLayerIndex:o}of t){const t=this.layers[0]._featureFilter.needGeometry,s=Go(n,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),s,r))continue;const l={id:i,sourceLayerIndex:o,index:a,geometry:t?s.geometry:Ho(n),properties:n.properties,type:n.type,patterns:{}};this.hasPattern?this.features.push(fl(\"fill-extrusion\",this.layers,l,this.zoom,e)):this.addFeature(l,l.geometry,a,r,{}),e.featureIndex.insert(n,l.geometry,a,o,this.index,!0)}}addFeatures(t,e,r){for(const t of this.features){const{geometry:n}=t;this.addFeature(t,n,t.index,e,r)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.centroidVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,_l),this.centroidVertexBuffer=t.createVertexBuffer(this.centroidVertexArray,xl.members,!0),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(t,e,r,n,i){for(const r of br(e,500)){const e={x:0,y:0,vertexCount:0};let n=0;for(const t of r)n+=t.length;let i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(const t of r){if(0===t.length)continue;if(Ul(t))continue;let r=0;for(let n=0;n<t.length;n++){const a=t[n];if(n>=1){const o=t[n-1];if(!jl(a,o)){i.vertexLength+4>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));const t=a.sub(o)._perp()._unit(),n=o.dist(a);r+n>32768&&(r=0),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,1,r),e.x+=2*a.x,e.y+=2*a.y,e.vertexCount+=2,r+=n,Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,1,r),e.x+=2*o.x,e.y+=2*o.y,e.vertexCount+=2;const s=i.vertexLength;this.indexArray.emplaceBack(s,s+2,s+1),this.indexArray.emplaceBack(s+1,s+2,s+3),i.vertexLength+=4,i.primitiveLength+=2}}}}if(i.vertexLength+n>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(n,this.layoutVertexArray,this.indexArray)),\"Polygon\"!==Rl[t.type])continue;const a=[],o=[],s=i.vertexLength;for(const t of r)if(0!==t.length){t!==r[0]&&o.push(a.length/2);for(let r=0;r<t.length;r++){const n=t[r];Bl(this.layoutVertexArray,n.x,n.y,0,0,1,1,0),e.x+=n.x,e.y+=n.y,e.vertexCount+=1,a.push(n.x),a.push(n.y)}}const l=js(a,o);for(let t=0;t<l.length;t+=3)this.indexArray.emplaceBack(s+l[t],s+l[t+2],s+l[t+1]);i.primitiveLength+=l.length/3,i.vertexLength+=n;for(let t=0;t<e.vertexCount;t++){const t=Math.floor(e.x/e.vertexCount),r=Math.floor(e.y/e.vertexCount);this.centroidVertexArray.emplaceBack(t,r)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}}function jl(t,e){return t.x===e.x&&(t.x<0||t.x>Uo)||t.y===e.y&&(t.y<0||t.y>Uo)}function Ul(t){return t.every((t=>t.x<0))||t.every((t=>t.x>Uo))||t.every((t=>t.y<0))||t.every((t=>t.y>Uo))}let Vl;Mi(\"FillExtrusionBucket\",Nl,{omit:[\"layers\",\"features\"]});var ql={get paint(){return Vl=Vl||new ia({\"fill-extrusion-opacity\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ea(Z[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Hl extends oa{constructor(t){super(t,ql)}createBucket(t){return new Nl(t)}queryRadius(){return os(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(t,e,r,n,i,o,s,l){const c=ss(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){const i=[];for(const r of t){const t=[r.x,r.y,n,1];vs(t,t,e),i.push(new a(t[0]/t[3],t[1]/t[3]))}return i}(c,l,0,0),p=function(t,e,r,n){const 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;for(const e of t){const t=[],r=[];for(const i of e){const e=i.x,o=i.y,m=n[0]*e+n[4]*o+n[12],g=n[1]*e+n[5]*o+n[13],y=n[2]*e+n[6]*o+n[14],v=n[3]*e+n[7]*o+n[15],x=y+c,_=v+u,b=m+h,w=g+f,T=y+p,k=v+d,A=new a((m+s)/_,(g+l)/_);A.z=x/_,t.push(A);const M=new a(b/k,w/k);M.z=T/k,r.push(M)}i.push(t),o.push(r)}return[i,o]}(n,h,u,l);return function(t,e,r){let n=1/0;$o(r,e)&&(n=Zl(r,e[0]));for(let i=0;i<e.length;i++){const a=e[i],o=t[i];for(let t=0;t<a.length-1;t++){const e=a[t],i=a[t+1],s=o[t],l=[e,i,o[t+1],s,e];Yo(r,l)&&(n=Math.min(n,Zl(r,l)))}}return n!==1/0&&n}(p[0],p[1],f)}}function Gl(t,e){return t.x*e.x+t.y*e.y}function Zl(t,e){if(1===t.length){let r=0;const n=e[r++];let i;for(;!i||n.equals(i);)if(i=e[r++],!i)return 1/0;for(;r<e.length;r++){const a=e[r],o=t[0],s=i.sub(n),l=a.sub(n),c=o.sub(n),u=Gl(s,s),h=Gl(s,l),f=Gl(l,l),p=Gl(c,s),d=Gl(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=n.z*v+i.z*g+a.z*y;if(isFinite(x))return x}return 1/0}{let t=1/0;for(const r of e)t=Math.min(t,r.z);return t}}const Wl=ua([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:Yl,size:Xl,alignment:$l}=Wl,Jl=ua([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:Kl,size:Ql,alignment:tc}=Jl,ec=Tl.VectorTileFeature.types,rc=Math.cos(Math.PI/180*37.5),nc=Math.pow(2,14)/.5;class ic{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((t=>{this.gradients[t.id]={}})),this.layoutVertexArray=new Ja,this.layoutVertexArray2=new Ka,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.hasPattern=hl(\"line\",this.layers,e);const n=this.layers[0].layout.get(\"line-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:e,id:o,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=i?n.evaluate(c,{},r):void 0,h={id:o,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};a.push(h)}i&&a.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of a){const{geometry:i,index:a,sourceLayerIndex:o}=n;if(this.hasPattern){const t=fl(\"line\",this.layers,n,this.zoom,e);this.patternFeatures.push(t)}else this.addFeature(n,i,a,r,{});const s=t[a].feature;e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}addFeatures(t,e,r){for(const t of this.patternFeatures)this.addFeature(t,t.geometry,t.index,e,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,Kl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Yl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(t){if(t.properties&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}}addFeature(t,e,r,n,i){const a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(const r of e)this.addLine(r,t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}addLine(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let e=0;e<t.length-1;e++)this.totalDistance+=t[e].dist(t[e+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}const o=\"Polygon\"===ec[e.type];let s=t.length;for(;s>=2&&t[s-1].equals(t[s-2]);)s--;let l=0;for(;l<s-1&&t[l].equals(t[l+1]);)l++;if(s<(o?3:2))return;\"bevel\"===r&&(i=1.05);const c=this.overscaling<=16?15*Uo/(512*this.overscaling):0,u=this.segments.prepareSegment(10*s,this.layoutVertexArray,this.indexArray);let h,f,p,d,m;this.e1=this.e2=-1,o&&(h=t[s-2],m=t[l].sub(h)._unit()._perp());for(let e=l;e<s;e++){if(p=e===s-1?o?t[l+1]:void 0:t[e+1],p&&t[e].equals(p))continue;m&&(d=m),h&&(f=h),h=t[e],m=p?p.sub(h)._unit()._perp():d,d=d||m;let g=d.add(m);0===g.x&&0===g.y||g._unit();const y=d.x*m.x+d.y*m.y,v=g.x*m.x+g.y*m.y,x=0!==v?1/v:1/0,_=2*Math.sqrt(2-2*v),b=v<rc&&f&&p,w=d.x*m.y-d.y*m.x>0;if(b&&e>l){const t=h.dist(f);if(t>2*c){const e=h.sub(h.sub(f)._mult(c/t)._round());this.updateDistance(f,e),this.addCurrentVertex(e,d,0,0,u),f=e}}const T=f&&p;let k=T?r:o?\"butt\":n;if(T&&\"round\"===k&&(x<a?k=\"miter\":x<=2&&(k=\"fakeround\")),\"miter\"===k&&x>i&&(k=\"bevel\"),\"bevel\"===k&&(x>2&&(k=\"flipbevel\"),x<i&&(k=\"miter\")),f&&this.updateDistance(f,h),\"miter\"===k)g._mult(x),this.addCurrentVertex(h,g,0,0,u);else if(\"flipbevel\"===k){if(x>100)g=m.mult(-1);else{const t=x*d.add(m).mag()/d.sub(m).mag();g._perp()._mult(t*(w?-1:1))}this.addCurrentVertex(h,g,0,0,u),this.addCurrentVertex(h,g.mult(-1),0,0,u)}else if(\"bevel\"===k||\"fakeround\"===k){const t=-Math.sqrt(x*x-1),e=w?t:0,r=w?0:t;if(f&&this.addCurrentVertex(h,d,e,r,u),\"fakeround\"===k){const t=Math.round(180*_/Math.PI/20);for(let e=1;e<t;e++){let r=e/t;if(.5!==r){const t=r-.5;r+=r*t*(r-1)*((1.0904+y*(y*(3.55645-1.43519*y)-3.2452))*t*t+(.848013+y*(.215638*y-1.06021)))}const n=m.sub(d)._mult(r)._add(d)._unit()._mult(w?-1:1);this.addHalfVertex(h,n.x,n.y,!1,w,0,u)}}p&&this.addCurrentVertex(h,m,-e,-r,u)}else if(\"butt\"===k)this.addCurrentVertex(h,g,0,0,u);else if(\"square\"===k){const t=f?1:-1;this.addCurrentVertex(h,g,t,t,u)}else\"round\"===k&&(f&&(this.addCurrentVertex(h,d,0,0,u),this.addCurrentVertex(h,d,1,1,u,!0)),p&&(this.addCurrentVertex(h,m,-1,-1,u,!0),this.addCurrentVertex(h,m,0,0,u)));if(b&&e<s-1){const t=h.dist(p);if(t>2*c){const e=h.add(p.sub(h)._mult(c/t)._round());this.updateDistance(h,e),this.addCurrentVertex(e,m,0,0,u),h=e}}}}addCurrentVertex(t,e,r,n,i,a=!1){const o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>nc/2&&0===this.totalDistance&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(t,e,r,n,i,a))}addHalfVertex({x:t,y:e},r,n,i,a,o,s){const l=.5*(this.lineClips?this.scaledDistance*(nc-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((t<<1)+(i?1:0),(e<<1)+(a?1:0),Math.round(63*r)+128,Math.round(63*n)+128,1+(0===o?0:o<0?-1:1)|(63&l)<<2,l>>6),this.lineClips){const t=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(t,this.lineClipsArray.length)}const 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ra(Z.paint_line[\"line-dasharray\"]),\"line-pattern\":new ea(Z.paint_line[\"line-pattern\"]),\"line-gradient\":new na(Z.paint_line[\"line-gradient\"])})},get layout(){return ac=ac||new ia({\"line-cap\":new Qi(Z.layout_line[\"line-cap\"]),\"line-join\":new ta(Z.layout_line[\"line-join\"]),\"line-miter-limit\":new Qi(Z.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Qi(Z.layout_line[\"line-round-limit\"]),\"line-sort-key\":new ta(Z.layout_line[\"line-sort-key\"])})}};class lc extends ta{possiblyEvaluate(t,e){return e=new Hi(Math.floor(e.zoom),{now:e.now,fadeDuration:e.fadeDuration,zoomHistory:e.zoomHistory,transition:e.transition}),super.possiblyEvaluate(t,e)}evaluate(t,e,r,n){return e=y({},e,{zoom:Math.floor(e.zoom)}),super.evaluate(t,e,r,n)}}let cc;class uc extends oa{constructor(t){super(t,sc),this.gradientVersion=0,cc||(cc=new lc(sc.paint.properties[\"line-width\"].specification),cc.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(t){if(\"line-gradient\"===t){const 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l=ss(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*hc(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){const r=[];for(let n=0;n<t.length;n++){const i=t[n],o=[];for(let t=0;t<i.length;t++){const r=i[t-1],n=i[t],s=i[t+1],l=0===t?new a(0,0):n.sub(r)._unit()._perp(),c=t===i.length-1?new a(0,0):s.sub(n)._unit()._perp(),u=l._add(c)._unit(),h=u.x*c.x+u.y*c.y;0!==h&&u._mult(1/h),o.push(u._mult(e)._add(n))}r.push(o)}return r}(n,u*s)),function(t,e,r){for(let n=0;n<e.length;n++){const i=e[n];if(t.length>=3)for(let e=0;e<i.length;e++)if(ns(t,i[e]))return!0;if(Jo(t,i,r))return!0}return!1}(l,n,c)}isTileClipped(){return!0}}function hc(t,e){return e>0?e+2*t:t}const 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mc=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),gc=ua([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function yc(t,e,r){return t.sections.forEach((t=>{t.text=function(t,e,r){const 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vc={\"!\":\"︕\",\"#\":\"＃\",$:\"＄\",\"%\":\"％\",\"&\":\"＆\",\"(\":\"︵\",\")\":\"︶\",\"*\":\"＊\",\"+\":\"＋\",\",\":\"︐\",\"-\":\"︲\",\".\":\"・\",\"/\":\"／\",\":\":\"︓\",\";\":\"︔\",\"<\":\"︿\",\"=\":\"＝\",\">\":\"﹀\",\"?\":\"︖\",\"@\":\"＠\",\"[\":\"﹇\",\"\\\\\":\"＼\",\"]\":\"﹈\",\"^\":\"＾\",_:\"︳\",\"`\":\"｀\",\"{\":\"︷\",\"|\":\"―\",\"}\":\"︸\",\"~\":\"～\",\"¢\":\"￠\",\"£\":\"￡\",\"¥\":\"￥\",\"¦\":\"￤\",\"¬\":\"￢\",\"¯\":\"￣\",\"–\":\"︲\",\"—\":\"︱\",\"‘\":\"﹃\",\"’\":\"﹄\",\"“\":\"﹁\",\"”\":\"﹂\",\"…\":\"︙\",\"‧\":\"・\",\"₩\":\"￦\",\"、\":\"︑\",\"。\":\"︒\",\"〈\":\"︿\",\"〉\":\"﹀\",\"《\":\"︽\",\"》\":\"︾\",\"「\":\"﹁\",\"」\":\"﹂\",\"『\":\"﹃\",\"』\":\"﹄\",\"【\":\"︻\",\"】\":\"︼\",\"〔\":\"︹\",\"〕\":\"︺\",\"〖\":\"︗\",\"〗\":\"︘\",\"！\":\"︕\",\"（\":\"︵\",\"）\":\"︶\",\"，\":\"︐\",\"－\":\"︲\",\"．\":\"・\",\"：\":\"︓\",\"；\":\"︔\",\"＜\":\"︿\",\"＞\":\"﹀\",\"？\":\"︖\",\"［\":\"﹇\",\"］\":\"﹈\",\"＿\":\"︳\",\"｛\":\"︷\",\"｜\":\"―\",\"｝\":\"︸\",\"｟\":\"︵\",\"｠\":\"︶\",\"｡\":\"︒\",\"｢\":\"﹁\",\"｣\":\"﹂\"};var xc=24,_c=wc,bc={read:function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},write:function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+h>=1?f/l:f*Math.pow(2,1-h))*l>=2&&(o++,l/=2),o+h>=u?(s=0,o=u):o+h>=1?(s=(e*l-1)*Math.pow(2,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m}};function wc(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}wc.Varint=0,wc.Fixed64=1,wc.Bytes=2,wc.Fixed32=5;var Tc=4294967296,kc=1/Tc,Ac=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf-8\");function Mc(t){return t.type===wc.Bytes?t.readVarint()+t.pos:t.pos+1}function Sc(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function Ec(t,e,r){var n=e<=16383?1:e<=2097151?2:e<=268435455?3:Math.floor(Math.log(e)/(7*Math.LN2));r.realloc(n);for(var i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function Cc(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function Lc(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function Ic(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function Pc(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function zc(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function Oc(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function Dc(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function Rc(t,e){for(var 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t.push(this.readSFixed32());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readSFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===wc.Varint)for(;this.buf[this.pos++]>127;);else if(e===wc.Bytes)this.pos=this.readVarint()+this.pos;else if(e===wc.Fixed32)this.pos+=4;else{if(e!==wc.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=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&&Ec(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),bc.write(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),bc.write(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&&Ec(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,wc.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Cc,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Lc,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,zc,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Ic,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Pc,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Oc,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Dc,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Rc,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Fc,e)},writeBytesField:function(t,e){this.writeTag(t,wc.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,wc.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,wc.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Uc=r(_c);const Vc=3;function qc(t,e,r){1===t&&r.readMessage(Hc,e)}function Hc(t,e,r){if(3===t){const{id:t,bitmap:n,width:i,height:a,left:o,top:s,advance:l}=r.readMessage(Gc,{});e.push({id:t,bitmap:new Cs({width:i+2*Vc,height:a+2*Vc},n),metrics:{width:i,height:a,left:o,top:s,advance:l}})}}function Gc(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}const Zc=Vc;function Wc(t){let e=0,r=0;for(const n of t)e+=n.w*n.h,r=Math.max(r,n.w);t.sort(((t,e)=>e.h-t.h));const n=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}];let i=0,a=0;for(const e of t)for(let t=n.length-1;t>=0;t--){const r=n[t];if(!(e.w>r.w||e.h>r.h)){if(e.x=r.x,e.y=r.y,a=Math.max(a,e.y+e.h),i=Math.max(i,e.x+e.w),e.w===r.w&&e.h===r.h){const e=n.pop();t<n.length&&(n[t]=e)}else 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10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function lu(t,e,r,n,i,a){let o=null,s=ou(e,r,i,a);for(const t of n){const n=ou(e-t.x,r,i,a)+t.badness;n<=s&&(o=t,s=n)}return{index:t,x:e,priorBreak:o,badness:s}}function cu(t){return t?cu(t.priorBreak).concat(t.index):[]}function uu(t,e,r,n,i,a){if(!t)return[];const o=[],s=function(t,e,r,n,i,a){let o=0;for(let r=0;r<t.length();r++){const s=t.getSection(r);o+=au(t.getCharCode(r),s,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,a),l=t.text.indexOf(\"​\")>=0;let c=0;for(let r=0;r<t.length();r++){const h=t.getSection(r),f=t.getCharCode(r);if(ru[f]||(c+=au(f,h,n,i,e,a)),r<t.length()-1){const e=!((u=f)<11904||!(zi[\"Bopomofo Extended\"](u)||zi.Bopomofo(u)||zi[\"CJK Compatibility Forms\"](u)||zi[\"CJK Compatibility Ideographs\"](u)||zi[\"CJK Compatibility\"](u)||zi[\"CJK Radicals Supplement\"](u)||zi[\"CJK Strokes\"](u)||zi[\"CJK Symbols and Punctuation\"](u)||zi[\"CJK Unified Ideographs Extension A\"](u)||zi[\"CJK Unified Ideographs\"](u)||zi[\"Enclosed CJK Letters and Months\"](u)||zi[\"Halfwidth and Fullwidth Forms\"](u)||zi.Hiragana(u)||zi[\"Ideographic Description Characters\"](u)||zi[\"Kangxi Radicals\"](u)||zi[\"Katakana Phonetic Extensions\"](u)||zi.Katakana(u)||zi[\"Vertical Forms\"](u)||zi[\"Yi Radicals\"](u)||zi[\"Yi Syllables\"](u)));(nu[f]||e||h.imageName||r!==t.length()-2&&iu[t.getCharCode(r+1)])&&o.push(lu(r+1,c,s,o,su(f,t.getCharCode(r+1),e&&l),!1))}}var u;return cu(lu(t.length(),c,s,o,0,!0))}function hu(t){let e=.5,r=.5;switch(t){case\"right\":case\"top-right\":case\"bottom-right\":e=1;break;case\"left\":case\"top-left\":case\"bottom-left\":e=0}switch(t){case\"bottom\":case\"bottom-right\":case\"bottom-left\":r=1;break;case\"top\":case\"top-right\":case\"top-left\":r=0}return{horizontalAlign:e,verticalAlign:r}}function fu(t,e,r,n,i){if(!n&&!i)return;const a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n;for(let n=e;n<=r;n++)t[n].x-=s,t[n].y+=i}function pu(t,e,r){const{horizontalAlign:n,verticalAlign:i}=hu(r),a=e[0],o=e[1],s=a-t.displaySize[0]*n,l=s+t.displaySize[0],c=o-t.displaySize[1]*i;return{image:t,top:c,bottom:c+t.displaySize[1],left:s,right:l}}function du(t){var e,r;let n=t.left,i=t.top,a=t.right-n,o=t.bottom-i;const s=t.image.content[2]-t.image.content[0],l=t.image.content[3]-t.image.content[1],c=null!==(e=t.image.textFitWidth)&&void 0!==e?e:\"stretchOrShrink\",u=null!==(r=t.image.textFitHeight)&&void 0!==r?r:\"stretchOrShrink\",h=s/l;if(\"proportional\"===u){if(\"stretchOnly\"===c&&a/o<h||\"proportional\"===c){const t=Math.ceil(o*h);n*=t/a,a=t}}else if(\"proportional\"===c&&\"stretchOnly\"===u&&0!==h&&a/o>h){const t=Math.ceil(a/h);i*=t/o,o=t}return{x1:n,y1:i,x2:n+a,y2:i+o}}function mu(t,e,r,n,i,a){const o=t.image;let s;if(o.content){const t=o.content,e=o.pixelRatio||1;s=[t[0]/e,t[1]/e,o.displaySize[0]-t[2]/e,o.displaySize[1]-t[3]/e]}const l=e.left*a,c=e.right*a;let u,h,f,p;\"width\"===r||\"both\"===r?(p=i[0]+l-n[3],h=i[0]+c+n[1]):(p=i[0]+(l+c-o.displaySize[0])/2,h=p+o.displaySize[0]);const d=e.top*a,m=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+d-n[0],f=i[1]+m+n[2]):(u=i[1]+(d+m-o.displaySize[1])/2,f=u+o.displaySize[1]),{image:o,top:u,right:h,bottom:f,left:p,collisionPadding:s}}const gu=255,yu=128,vu=gu*yu;function xu(t,e){const{expression:r}=e;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new Hi(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};{const{zoomStops:e,interpolationType:n}=r;let i=0;for(;i<e.length&&e[i]<=t;)i++;i=Math.max(0,i-1);let a=i;for(;a<e.length&&e[a]<t+1;)a++;a=Math.min(e.length-1,a);const o=e[i],s=e[a];return\"composite\"===r.kind?{kind:\"composite\",minZoom:o,maxZoom:s,interpolationType:n}:{kind:\"camera\",minZoom:o,maxZoom:s,minSize:r.evaluate(new Hi(o)),maxSize:r.evaluate(new Hi(s)),interpolationType:n}}}function _u(t,e,r){let n=\"never\";const i=t.get(e);return i?n=i:t.get(r)&&(n=\"always\"),n}const bu=Tl.VectorTileFeature.types,wu=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Tu(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=s?Math.min(vu,Math.round(s[0])):0,d=s?Math.min(vu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function ku(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Au(t){for(const e of t.sections)if(Vi(e.text))return!0;return!1}class Mu{constructor(t){this.layoutVertexArray=new to,this.indexArray=new ao,this.programConfigurations=t,this.segments=new ho,this.dynamicLayoutVertexArray=new eo,this.opacityVertexArray=new ro,this.hasVisibleVertices=!1,this.placedSymbolArray=new Ba}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length}upload(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fc.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,pc.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,wu,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Mi(\"SymbolBuffers\",Mu);class Su{constructor(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ho,this.collisionVertexArray=new io}upload(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,dc.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Mi(\"CollisionBuffers\",Su);class Eu{constructor(e){this.collisionBoxArray=e.collisionBoxArray,this.zoom=e.zoom,this.overscaling=e.overscaling,this.layers=e.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=e.index,this.pixelRatio=e.pixelRatio,this.sourceLayerIndex=e.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ps([]),this.placementViewportMatrix=ps([]);const r=this.layers[0]._unevaluatedLayout._values;this.textSizeData=xu(this.zoom,r[\"text-size\"]),this.iconSizeData=xu(this.zoom,r[\"icon-size\"]);const n=this.layers[0].layout,i=n.get(\"symbol-sort-key\"),a=n.get(\"symbol-z-order\");this.canOverlap=\"never\"!==_u(n,\"text-overlap\",\"text-allow-overlap\")||\"never\"!==_u(n,\"icon-overlap\",\"icon-allow-overlap\")||n.get(\"text-ignore-placement\")||n.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==a&&!i.isConstant();const o=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=o&&this.canOverlap,\"point\"===n.get(\"symbol-placement\")&&(this.writingModes=n.get(\"text-writing-mode\").map((e=>t.ai[e]))),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id)),this.sourceID=e.sourceID}createArrays(){this.text=new Mu(new Bo(this.layers,this.zoom,(t=>/^text/.test(t)))),this.icon=new Mu(new Bo(this.layers,this.zoom,(t=>/^icon/.test(t)))),this.glyphOffsetArray=new Ua,this.lineVertexArray=new Va,this.symbolInstances=new ja,this.textAnchorOffsets=new Ha}calculateGlyphDependencies(t,e,r,n,i){for(let a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){const r=vc[t.charAt(a)];r&&(e[r.charCodeAt(0)]=!0)}}populate(e,r,n){const i=this.layers[0],a=i.layout,o=a.get(\"text-font\"),s=a.get(\"text-field\"),l=a.get(\"icon-image\"),c=(\"constant\"!==s.value.kind||s.value.value instanceof Kt&&!s.value.value.isEmpty()||s.value.value.toString().length>0)&&(\"constant\"!==o.value.kind||o.value.value.length>0),u=\"constant\"!==l.value.kind||!!l.value.value||Object.keys(l.parameters).length>0,h=a.get(\"symbol-sort-key\");if(this.features=[],!c&&!u)return;const f=r.iconDependencies,p=r.glyphDependencies,d=r.availableImages,m=new Hi(this.zoom);for(const{feature:r,id:s,index:l,sourceLayerIndex:g}of e){const e=i._featureFilter.needGeometry,y=Go(r,e);if(!i._featureFilter.filter(m,y,n))continue;let v,x;if(e||(y.geometry=Ho(r)),c){const t=i.getValueAndResolveTokens(\"text-field\",y,n,d),e=Kt.factory(t),r=this.hasRTLText=this.hasRTLText||Au(e);(!r||\"unavailable\"===qi.getRTLTextPluginStatus()||r&&qi.isParsed())&&(v=yc(e,i,y))}if(u){const t=i.getValueAndResolveTokens(\"icon-image\",y,n,d);x=t instanceof re?t:re.fromString(t)}if(!v&&!x)continue;const _=this.sortFeaturesByKey?h.evaluate(y,{},n):void 0,b={id:s,text:v,icon:x,index:l,sourceLayerIndex:g,geometry:y.geometry,properties:r.properties,type:bu[r.type],sortKey:_};if(this.features.push(b),x&&(f[x.name]=!0),v){const e=o.evaluate(y,{},n).join(\",\"),r=\"viewport\"!==a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(t.ai.vertical)>=0;for(const t of v.sections)if(t.image)f[t.image.name]=!0;else{const n=Oi(v.toString()),i=t.fontStack||e,a=p[i]=p[i]||{};this.calculateGlyphDependencies(t.text,a,r,this.allowVerticalPlacement,n)}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){const e={},r={},n=[];let i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){const a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){const a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){const n=r?e[0][e[0].length-1]:e[0][0];return`${t}:${n.x}:${n.y}`}for(let c=0;c<t.length;c++){const u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(!f){a(c);continue}const p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){const t=s(p,d,h),i=o(p,d,n[t].geometry);delete e[p],delete r[d],r[l(f,n[i].geometry,!0)]=i,n[t].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}return n.filter((t=>t.geometry))}(this.features)),this.sortFeaturesByKey&&this.features.sort(((t,e)=>t.sortKey-e.sortKey))}update(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))}isEmpty(){return 0===this.symbolInstances.length&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(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}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(t,e){const r=this.lineVertexArray.length;if(void 0!==t.segment){let r=t.dist(e[t.segment+1]),n=t.dist(e[t.segment]);const i={};for(let n=t.segment+1;n<e.length;n++)i[n]={x:e[n].x,y:e[n].y,tileUnitDistanceFromAnchor:r},n<e.length-1&&(r+=e[n+1].dist(e[n]));for(let r=t.segment||0;r>=0;r--)i[r]={x:e[r].x,y:e[r].y,tileUnitDistanceFromAnchor:n},r>0&&(n+=e[r-1].dist(e[r]));for(let t=0;t<e.length;t++){const e=i[t];this.lineVertexArray.emplaceBack(e.x,e.y,e.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}}addSymbols(e,r,n,i,a,o,s,l,c,u,h,f){const p=e.indexArray,d=e.layoutVertexArray,m=e.segments.prepareSegment(4*r.length,d,p,this.canOverlap?o.sortKey:void 0),g=this.glyphOffsetArray.length,y=m.vertexLength,v=this.allowVerticalPlacement&&s===t.ai.vertical?Math.PI/2:0,x=o.text&&o.text.sections;for(let t=0;t<r.length;t++){const{tl:i,tr:a,bl:s,br:c,tex:u,pixelOffsetTL:h,pixelOffsetBR:g,minFontScaleX:y,minFontScaleY:_,glyphOffset:b,isSDF:w,sectionIndex:T}=r[t],k=m.vertexLength,A=b[1];Tu(d,l.x,l.y,i.x,A+i.y,u.x,u.y,n,w,h.x,h.y,y,_),Tu(d,l.x,l.y,a.x,A+a.y,u.x+u.w,u.y,n,w,g.x,h.y,y,_),Tu(d,l.x,l.y,s.x,A+s.y,u.x,u.y+u.h,n,w,h.x,g.y,y,_),Tu(d,l.x,l.y,c.x,A+c.y,u.x+u.w,u.y+u.h,n,w,g.x,g.y,y,_),ku(e.dynamicLayoutVertexArray,l,v),p.emplaceBack(k,k+1,k+2),p.emplaceBack(k+1,k+2,k+3),m.vertexLength+=4,m.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(b[0]),t!==r.length-1&&T===r[t+1].sectionIndex||e.programConfigurations.populatePaintArrays(d.length,o,o.index,{},f,x&&x[T])}e.placedSymbolArray.emplaceBack(l.x,l.y,g,this.glyphOffsetArray.length-g,y,c,u,l.segment,n?n[0]:0,n?n[1]:0,i[0],i[1],s,0,!1,0,h)}_addCollisionDebugVertex(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))}addCollisionDebugVertices(t,e,r,n,i,o,s){const 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;const 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}addDebugCollisionBoxes(t,e,r,n){for(let i=t;i<e;i++){const t=this.collisionBoxArray.get(i),e=t.x1,a=t.y1,o=t.x2,s=t.y2;this.addCollisionDebugVertices(e,a,o,s,n?this.textCollisionBox:this.iconCollisionBox,t.anchorPoint,r)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Su(no,mc.members,oo),this.iconCollisionBox=new Su(no,mc.members,oo);for(let t=0;t<this.symbolInstances.length;t++){const 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)}}_deserializeCollisionBoxesForSymbol(t,e,r,n,i,a,o,s,l){const c={};for(let n=e;n<r;n++){const e=t.get(n);c.textBox={x1:e.x1,y1:e.y1,x2:e.x2,y2:e.y2,anchorPointX:e.anchorPointX,anchorPointY:e.anchorPointY},c.textFeatureIndex=e.featureIndex;break}for(let e=n;e<i;e++){const r=t.get(e);c.verticalTextBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalTextFeatureIndex=r.featureIndex;break}for(let e=a;e<o;e++){const r=t.get(e);c.iconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.iconFeatureIndex=r.featureIndex;break}for(let e=s;e<l;e++){const r=t.get(e);c.verticalIconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalIconFeatureIndex=r.featureIndex;break}return c}deserializeCollisionBoxes(t){this.collisionArrays=[];for(let e=0;e<this.symbolInstances.length;e++){const 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))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(t,e){const r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs;for(let e=r.vertexStartIndex;e<n;e+=4)t.indexArray.emplaceBack(e,e+1,e+2),t.indexArray.emplaceBack(e+1,e+2,e+3)}getSortedSymbolIndexes(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;const e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[];for(let t=0;t<this.symbolInstances.length;++t){a.push(t);const o=this.symbolInstances.get(t);n.push(0|Math.round(e*o.anchorX+r*o.anchorY)),i.push(o.featureIndex)}return a.sort(((t,e)=>n[t]-n[e]||i[e]-i[t])),a}addToSortKeyRanges(t,e){const 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})}sortFeatures(t){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(const t of this.symbolInstanceIndexes){const e=this.symbolInstances.get(t);this.featureSortOrder.push(e.featureIndex),[e.rightJustifiedTextSymbolIndex,e.centerJustifiedTextSymbolIndex,e.leftJustifiedTextSymbolIndex].forEach(((t,e,r)=>{t>=0&&r.indexOf(t)===e&&this.addIndicesForPlacedSymbol(this.text,t)})),e.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,e.verticalPlacedTextSymbolIndex),e.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.placedIconSymbolIndex),e.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Cu;Mi(\"SymbolBucket\",Eu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Eu.MAX_GLYPHS=65535,Eu.addDynamicAttributes=ku;let Lu;var Iu={get paint(){return Lu=Lu||new ia({\"icon-opacity\":new ta(Z.paint_symbol[\"icon-opacity\"]),\"icon-color\":new ta(Z.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new ta(Z.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new ta(Z.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new ta(Z.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Qi(Z.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Qi(Z.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new ta(Z.paint_symbol[\"text-opacity\"]),\"text-color\":new ta(Z.paint_symbol[\"text-color\"],{runtimeType:ft,getOverride:t=>t.textColor,hasOverride:t=>!!t.textColor}),\"text-halo-color\":new ta(Z.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new ta(Z.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new ta(Z.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Qi(Z.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Qi(Z.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Cu=Cu||new ia({\"symbol-placement\":new Qi(Z.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Qi(Z.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Qi(Z.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new ta(Z.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Qi(Z.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Qi(Z.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Qi(Z.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Qi(Z.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Qi(Z.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Qi(Z.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new ta(Z.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Qi(Z.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Qi(Z.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new ta(Z.layout_symbol[\"icon-image\"]),\"icon-rotate\":new ta(Z.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ta(Z.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Qi(Z.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new ta(Z.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new ta(Z.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Qi(Z.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Qi(Z.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Qi(Z.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new ta(Z.layout_symbol[\"text-field\"]),\"text-font\":new ta(Z.layout_symbol[\"text-font\"]),\"text-size\":new ta(Z.layout_symbol[\"text-size\"]),\"text-max-width\":new ta(Z.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Qi(Z.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new ta(Z.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new ta(Z.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new ta(Z.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Qi(Z.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new ta(Z.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new ta(Z.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Qi(Z.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Qi(Z.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new ta(Z.layout_symbol[\"text-rotate\"]),\"text-padding\":new Qi(Z.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Qi(Z.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new ta(Z.layout_symbol[\"text-transform\"]),\"text-offset\":new ta(Z.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Qi(Z.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Qi(Z.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Qi(Z.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Qi(Z.layout_symbol[\"text-optional\"])})}};class Pu{constructor(t){if(void 0===t.property.overrides)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=t.property.overrides?t.property.overrides.runtimeType:lt,this.defaultValue=t}evaluate(t){if(t.formattedSection){const 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}eachChild(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Mi(\"FormatSectionOverride\",Pu,{omit:[\"defaultValue\"]});class zu extends oa{constructor(t){super(t,Iu)}recalculate(t,e){if(super.recalculate(t,e),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=\"map\"===this.layout.get(\"text-rotation-alignment\")?\"map\":\"viewport\"),\"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\")){const t=this.layout.get(\"text-writing-mode\");if(t){const e=[];for(const r of t)e.indexOf(r)<0&&e.push(r);this.layout._values[\"text-writing-mode\"]=e}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(t,e,r,n){const i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||kn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,((e,r)=>t&&r in t?String(t[r]):\"\"))}(e.properties,i)}createBucket(t){return new Eu(t)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(const t of Iu.paint.overridableProperties){if(!zu.hasPaintOverride(this.layout,t))continue;const e=this.paint.get(t),r=new Pu(e),n=new Tn(r,e.property.specification);let i=null;i=\"constant\"===e.value.kind||\"source\"===e.value.kind?new Mn(\"source\",n):new Sn(\"composite\",n,e.value.zoomStops),this.paint._values[t]=new Ji(e.property,i,e.parameters)}}_handleOverridablePaintPropertyUpdate(t,e,r){return!(!this.layout||e.isDataDriven()||r.isDataDriven())&&zu.hasPaintOverride(this.layout,t)}static hasPaintOverride(t,e){const r=t.get(\"text-field\"),n=Iu.paint.properties[e];let i=!1;const a=t=>{for(const e of t)if(n.overrides&&n.overrides.hasOverride(e))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof Kt)a(r.value.value.sections);else if(\"source\"===r.value.kind){const t=e=>{if(!i)if(e instanceof se&&ae(e.value)===gt){const t=e.value;a(t.sections)}else e instanceof We?a(e.sections):e.eachChild(t)},e=r.value;e._styleExpression&&t(e._styleExpression.expression)}return i}}let Ou;var Du={get paint(){return Ou=Ou||new ia({\"background-color\":new Qi(Z.paint_background[\"background-color\"]),\"background-pattern\":new ra(Z.paint_background[\"background-pattern\"]),\"background-opacity\":new Qi(Z.paint_background[\"background-opacity\"])})}};class Ru extends oa{constructor(t){super(t,Du)}}let Fu;var Bu={get paint(){return Fu=Fu||new ia({\"raster-opacity\":new Qi(Z.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Qi(Z.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Qi(Z.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Qi(Z.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Qi(Z.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Qi(Z.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Qi(Z.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Qi(Z.paint_raster[\"raster-fade-duration\"])})}};class Nu extends oa{constructor(t){super(t,Bu)}}class ju extends oa{constructor(t){super(t,{}),this.onAdd=t=>{this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},this.onRemove=t=>{this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},this.implementation=t}is3D(){return\"3d\"===this.implementation.renderingMode}hasOffscreenPass(){return void 0!==this.implementation.prerender}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class Uu{constructor(t){this._methodToThrottle=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}const Vu=6371008.8;class qu{constructor(t,e){if(isNaN(t)||isNaN(e))throw new Error(`Invalid LngLat object: (${t}, ${e})`);if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new qu(g(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(t){const e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Vu*Math.acos(Math.min(i,1))}static convert(t){if(t instanceof qu)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new qu(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new qu(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>]\")}}const Hu=2*Math.PI*Vu;function Gu(t){return Hu*Math.cos(t*Math.PI/180)}function Zu(t){return(180+t)/360}function Wu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Yu(t,e){return t/Gu(e)}function Xu(t){const e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}class $u{constructor(t,e,r=0){this.x=+t,this.y=+e,this.z=+r}static fromLngLat(t,e=0){const r=qu.convert(t);return new $u(Zu(r.lng),Wu(r.lat),Yu(e,r.lat))}toLngLat(){return new qu(360*this.x-180,Xu(this.y))}toAltitude(){return t=this.z,e=this.y,t*Gu(Xu(e));var t,e}meterInMercatorCoordinateUnits(){return 1/Hu*(t=Xu(this.y),1/Math.cos(t*Math.PI/180));var t}}function Ju(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}class Ku{constructor(t,e,r){if(t<0||t>25||r<0||r>=Math.pow(2,t)||e<0||e>=Math.pow(2,t))throw new Error(`x=${e}, y=${r}, z=${t} outside of bounds. 0<=x<${Math.pow(2,t)}, 0<=y<${Math.pow(2,t)} 0<=z<=25 `);this.z=t,this.x=e,this.y=r,this.key=eh(0,t,t,e,r)}equals(t){return this.z===t.z&&this.x===t.x&&this.y===t.y}url(t,e,r){const n=(a=this.x,o=this.y,s=this.z,l=Ju(256*a,256*(o=Math.pow(2,s)-o-1),s),c=Ju(256*(a+1),256*(o+1),s),l[0]+\",\"+l[1]+\",\"+c[0]+\",\"+c[1]),i=function(t,e,r){let n,i=\"\";for(let a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);var a,o,s,l,c;return t[(this.x+this.y)%t.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,e>1?\"@2x\":\"\").replace(/{quadkey}/g,i).replace(/{bbox-epsg-3857}/g,n)}isChildOf(t){const e=this.z-t.z;return e>0&&t.x===this.x>>e&&t.y===this.y>>e}getTilePoint(t){const e=Math.pow(2,this.z);return new a((t.x*e-this.x)*Uo,(t.y*e-this.y)*Uo)}toString(){return`${this.z}/${this.x}/${this.y}`}}class Qu{constructor(t,e){this.wrap=t,this.canonical=e,this.key=eh(t,e.z,e.z,e.x,e.y)}}class th{constructor(t,e,r,n,i){if(t<r)throw new Error(`overscaledZ should be >= z; overscaledZ = ${t}; z = ${r}`);this.overscaledZ=t,this.wrap=e,this.canonical=new Ku(r,+n,+i),this.key=eh(e,t,r,n,i)}clone(){return new th(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)}scaledTo(t){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const e=this.canonical.z-t;return t>this.canonical.z?new th(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new th(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)}calculateScaledKey(t,e){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const r=this.canonical.z-t;return t>this.canonical.z?eh(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):eh(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)}isChildOf(t){if(t.wrap!==this.wrap)return!1;const e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e}children(t){if(this.overscaledZ>=t)return[new th(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];const e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new th(e,this.wrap,e,r,n),new th(e,this.wrap,e,r+1,n),new th(e,this.wrap,e,r,n+1),new th(e,this.wrap,e,r+1,n+1)]}isLessThan(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))}wrapped(){return new th(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(t){return new th(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new Qu(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(t){return this.canonical.getTilePoint(new $u(t.x-this.wrap,t.y))}}function eh(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);const a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Mi(\"CanonicalTileID\",Ku),Mi(\"OverscaledTileID\",th,{omit:[\"posMatrix\"]});class rh{constructor(t,e,r,n=1,i=1,a=1,o=0){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&![\"mapbox\",\"terrarium\",\"custom\"].includes(r))return void T(`\"${r}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=e.height;const s=this.dim=e.height-2;switch(this.data=new Uint32Array(e.data.buffer),r){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=n,this.greenFactor=i,this.blueFactor=a,this.baseShift=o;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let t=0;t<s;t++)this.data[this._idx(-1,t)]=this.data[this._idx(0,t)],this.data[this._idx(s,t)]=this.data[this._idx(s-1,t)],this.data[this._idx(t,-1)]=this.data[this._idx(t,0)],this.data[this._idx(t,s)]=this.data[this._idx(t,s-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(s,-1)]=this.data[this._idx(s-1,0)],this.data[this._idx(-1,s)]=this.data[this._idx(0,s-1)],this.data[this._idx(s,s)]=this.data[this._idx(s-1,s-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let t=0;t<s;t++)for(let e=0;e<s;e++){const r=this.get(t,e);r>this.max&&(this.max=r),r<this.min&&(this.min=r)}}get(t,e){const r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return this.unpack(r[n],r[n+1],r[n+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(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)}unpack(t,e,r){return t*this.redFactor+e*this.greenFactor+r*this.blueFactor-this.baseShift}getPixels(){return new Ls({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");let n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}const s=-e*this.dim,l=-r*this.dim;for(let e=a;e<o;e++)for(let r=n;r<i;r++)this.data[this._idx(r,e)]=t.data[this._idx(r+s,e+l)]}}Mi(\"DEMData\",rh);class nh{constructor(t){this._stringToNumber={},this._numberToString=[];for(let e=0;e<t.length;e++){const r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}}encode(t){return this._stringToNumber[t]}decode(t){if(t>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${t} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[t]}}class ih{constructor(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i}get geometry(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(t){this._geometry=t}toJSON(){const t={geometry:this.geometry};for(const e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t}}class ah{constructor(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ki(Uo,16,0),this.grid3D=new ki(Uo,16,0),this.featureIndexArray=new Za,this.promoteId=e}insert(t,e,r,n,i,a){const o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);const s=a?this.grid3D:this.grid;for(let t=0;t<e.length;t++){const r=e[t],n=[1/0,1/0,-1/0,-1/0];for(let t=0;t<r.length;t++){const e=r[t];n[0]=Math.min(n[0],e.x),n[1]=Math.min(n[1],e.y),n[2]=Math.max(n[2],e.x),n[3]=Math.max(n[3],e.y)}n[0]<Uo&&n[1]<Uo&&n[2]>=0&&n[3]>=0&&s.insert(o,n[0],n[1],n[2],n[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new Tl.VectorTile(new Uc(this.rawTileData)).layers,this.sourceLayerCoder=new nh(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(t,e,r,n){this.loadVTLayers();const i=t.params||{},o=Uo/t.tileSize/t.scale,s=zn(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=sh(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=sh(t.cameraQueryGeometry),p=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,((e,r,n,i)=>function(t,e,r,n,i){for(const a of t)if(e<=a.x&&r<=a.y&&n>=a.x&&i>=a.y)return!0;const o=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(const e of o)if(ns(t,e))return!0;for(let e=0;e<t.length-1;e++)if(is(t[e],t[e+1],o))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)));for(const t of p)h.push(t);h.sort(lh);const d={};let m;for(let a=0;a<h.length;a++){const c=h[a];if(c===m)continue;m=c;const u=this.featureIndexArray.get(c);let f=null;this.loadMatchingFeature(d,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,i.availableImages,e,r,n,((e,r,n)=>(f||(f=Ho(e)),r.queryIntersectsFeature(l,e,n,f,this.z,t.transform,o,t.pixelPosMatrix))))}return d}loadMatchingFeature(t,e,r,n,i,a,o,s,l,c,u){const h=this.bucketLayerIDs[e];if(a&&!function(t,e){for(let r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h))return;const f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(i.needGeometry){const t=Go(p,!0);if(!i.filter(new Hi(this.tileID.overscaledZ),t,this.tileID.canonical))return}else if(!i.filter(new Hi(this.tileID.overscaledZ),p))return;const d=this.getId(p,f);for(let e=0;e<h.length;e++){const r=h[e];if(a&&a.indexOf(r)<0)continue;const i=s[r];if(!i)continue;let f={};d&&c&&(f=c.getState(i.sourceLayer||\"_geojsonTileLayer\",d));const m=y({},l[r]);m.paint=oh(m.paint,i.paint,p,f,o),m.layout=oh(m.layout,i.layout,p,f,o);const g=!u||u(p,i,f);if(!g)continue;const v=new ih(p,this.z,this.x,this.y,d);v.layer=m;let x=t[r];void 0===x&&(x=t[r]=[]),x.push({featureIndex:n,feature:v,intersectionZ:g})}}lookupSymbolFeatures(t,e,r,n,i,a,o,s){const l={};this.loadVTLayers();const c=zn(i);for(const i of t)this.loadMatchingFeature(l,r,n,i,c,a,o,s,e);return l}hasLayer(t){for(const e of this.bucketLayerIDs)for(const r of e)if(t===r)return!0;return!1}getId(t,e){let r=t.id;if(this.promoteId){const n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];r=t.properties[n],\"boolean\"==typeof r&&(r=Number(r))}return r}}function oh(t,e,r,n,i){return x(t,((t,a)=>{const o=e instanceof Ki?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function sh(t){let e=1/0,r=1/0,n=-1/0,i=-1/0;for(const a of t)e=Math.min(e,a.x),r=Math.min(r,a.y),n=Math.max(n,a.x),i=Math.max(i,a.y);return{minX:e,minY:r,maxX:n,maxY:i}}function lh(t,e){return e-t}function ch(t,e,r,n,i){const o=[];for(let s=0;s<t.length;s++){const l=t[s];let c;for(let t=0;t<l.length-1;t++){let s=l[t],u=l[t+1];s.x<e&&u.x<e||(s.x<e?s=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round():u.x<e&&(u=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round()),s.y<r&&u.y<r||(s.y<r?s=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round():u.y<r&&(u=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round()),s.x>=n&&u.x>=n||(s.x>=n?s=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round():u.x>=n&&(u=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round()),s.y>=i&&u.y>=i||(s.y>=i?s=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round():u.y>=i&&(u=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round()),c&&s.equals(c[c.length-1])||(c=[s],o.push(c)),c.push(u)))))}}return o}Mi(\"FeatureIndex\",ah,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class uh extends a{constructor(t,e,r,n){super(t,e),this.angle=r,void 0!==n&&(this.segment=n)}clone(){return new uh(this.x,this.y,this.angle,this.segment)}}function hh(t,e,r,n,i){if(void 0===e.segment||0===r)return!0;let a=e,o=e.segment+1,s=0;for(;s>-r/2;){if(o--,o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;const l=[];let c=0;for(;s<r/2;){const e=t[o-1],r=t[o],a=t[o+1];if(!a)return!1;let u=e.angleTo(r)-r.angleTo(a);for(u=Math.abs((u+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:u}),c+=u;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=r.dist(a)}return!0}function fh(t){let e=0;for(let r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function ph(t,e,r){return t?.6*e*r:0}function dh(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function mh(t,e,r,n,i,a){const o=ph(r,i,a),s=dh(r,n)*a;let l=0;const c=fh(t)/2;for(let r=0;r<t.length-1;r++){const n=t[r],i=t[r+1],a=n.dist(i);if(l+a>c){const u=(c-l)/a,h=Pe.number(n.x,i.x,u),f=Pe.number(n.y,i.y,u),p=new uh(h,f,i.angleTo(n),r);return p._round(),!o||hh(t,p,s,o,e)?p:void 0}l+=a}}function gh(t,e,r,n,i,a,o,s,l){const c=ph(n,a,o),u=dh(n,i),h=u*o,f=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-h<e/4&&(e=h+e/4),yh(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,!1,l)}function yh(t,e,r,n,i,a,o,s,l){const c=a/2,u=fh(t);let h=0,f=e-r,p=[];for(let e=0;e<t.length-1;e++){const o=t[e],s=t[e+1],d=o.dist(s),m=s.angleTo(o);for(;f+r<h+d;){f+=r;const g=(f-h)/d,y=Pe.number(o.x,s.x,g),v=Pe.number(o.y,s.y,g);if(y>=0&&y<l&&v>=0&&v<l&&f-c>=0&&f+c<=u){const r=new uh(y,v,m,e);r._round(),n&&!hh(t,r,a,n,i)||p.push(r)}}h+=d}return s||p.length||o||(p=yh(t,h/2,r,n,i,a,o,!0,l)),p}Mi(\"Anchor\",uh);const vh=Yc;function xh(t,e,r,n){const i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*vh,c=o.paddedRect.h-2*vh;let u={x1:t.left,y1:t.top,x2:t.right,y2:t.bottom};const h=o.stretchX||[[0,l]],f=o.stretchY||[[0,c]],p=(t,e)=>t+e[1]-e[0],d=h.reduce(p,0),m=f.reduce(p,0),g=l-d,y=c-m;let v=0,x=d,_=0,b=m,w=0,T=g,k=0,A=y;if(o.content&&n){const e=o.content,r=e[2]-e[0],n=e[3]-e[1];(o.textFitWidth||o.textFitHeight)&&(u=du(t)),v=_h(h,0,e[0]),_=_h(f,0,e[1]),x=_h(h,e[0],e[2]),b=_h(f,e[1],e[3]),w=e[0]-v,k=e[1]-_,T=r-x,A=n-b}const M=u.x1,S=u.y1,E=u.x2-M,C=u.y2-S,L=(t,n,i,l)=>{const c=wh(t.stretch-v,x,E,M),u=Th(t.fixed-w,T,t.stretch,d),h=wh(n.stretch-_,b,C,S),f=Th(n.fixed-k,A,n.stretch,m),p=wh(i.stretch-v,x,E,M),g=Th(i.fixed-w,T,i.stretch,d),y=wh(l.stretch-_,b,C,S),L=Th(l.fixed-k,A,l.stretch,m),I=new a(c,h),P=new a(p,h),z=new a(p,y),O=new a(c,y),D=new a(u/s,f/s),R=new a(g/s,L/s),F=e*Math.PI/180;if(F){const t=Math.sin(F),e=Math.cos(F),r=[e,-t,t,e];I._matMult(r),P._matMult(r),O._matMult(r),z._matMult(r)}const B=t.stretch+t.fixed,N=i.stretch+i.fixed,j=n.stretch+n.fixed,U=l.stretch+l.fixed;return{tl:I,tr:P,bl:O,br:z,tex:{x:o.paddedRect.x+vh+B,y:o.paddedRect.y+vh+j,w:N-B,h:U-j},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:R,minFontScaleX:T/s/E,minFontScaleY:A/s/C,isSDF:r}};if(n&&(o.stretchX||o.stretchY)){const t=bh(h,g,d),e=bh(f,y,m);for(let r=0;r<t.length-1;r++){const n=t[r],a=t[r+1];for(let t=0;t<e.length-1;t++){const r=e[t],o=e[t+1];i.push(L(n,r,a,o))}}}else i.push(L({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return i}function _h(t,e,r){let n=0;for(const i of t)n+=Math.max(e,Math.min(r,i[1]))-Math.max(e,Math.min(r,i[0]));return n}function bh(t,e,r){const n=[{fixed:-vh,stretch:0}];for(const[e,r]of t){const t=n[n.length-1];n.push({fixed:e-t.stretch,stretch:t.stretch}),n.push({fixed:e-t.stretch,stretch:t.stretch+(r-e)})}return n.push({fixed:e+vh,stretch:r}),n}function wh(t,e,r,n){return t/e*r+n}function Th(t,e,r,n){return t-e*r/n}class kh{constructor(t,e,r,n,i,o,s,l,c,u){var h;if(this.boxStartIndex=t.length,c){let t=o.top,e=o.bottom;const r=o.collisionPadding;r&&(t-=r[1],e+=r[3]);let n=e-t;n>0&&(n=Math.max(10,n),this.circleDiameter=n)}else{const c=(null===(h=o.image)||void 0===h?void 0:h.content)&&(o.image.textFitWidth||o.image.textFitHeight)?du(o):{x1:o.left,y1:o.top,x2:o.right,y2:o.bottom};c.y1=c.y1*s-l[0],c.y2=c.y2*s+l[2],c.x1=c.x1*s-l[3],c.x2=c.x2*s+l[1];const f=o.collisionPadding;if(f&&(c.x1-=f[0]*s,c.y1-=f[1]*s,c.x2+=f[2]*s,c.y2+=f[3]*s),u){const t=new a(c.x1,c.y1),e=new a(c.x2,c.y1),r=new a(c.x1,c.y2),n=new a(c.x2,c.y2),i=u*Math.PI/180;t._rotate(i),e._rotate(i),r._rotate(i),n._rotate(i),c.x1=Math.min(t.x,e.x,r.x,n.x),c.x2=Math.max(t.x,e.x,r.x,n.x),c.y1=Math.min(t.y,e.y,r.y,n.y),c.y2=Math.max(t.y,e.y,r.y,n.y)}t.emplaceBack(e.x,e.y,c.x1,c.y1,c.x2,c.y2,r,n,i)}this.boxEndIndex=t.length}}class Ah{constructor(t=[],e=((t,e)=>t<e?-1:t>e?1:0)){if(this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(let t=(this.length>>1)-1;t>=0;t--)this._down(t)}push(t){this.data.push(t),this._up(this.length++)}pop(){if(0===this.length)return;const t=this.data[0],e=this.data.pop();return--this.length>0&&(this.data[0]=e,this._down(0)),t}peek(){return this.data[0]}_up(t){const{data:e,compare:r}=this,n=e[t];for(;t>0;){const i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n}_down(t){const{data:e,compare:r}=this,n=this.length>>1,i=e[t];for(;t<n;){let n=1+(t<<1);const a=n+1;if(a<this.length&&r(e[a],e[n])<0&&(n=a),r(e[n],i)>=0)break;e[t]=e[n],t=n}e[t]=i}}function Mh(t,e=1,r=!1){let n=1/0,i=1/0,o=-1/0,s=-1/0;const l=t[0];for(let t=0;t<l.length;t++){const e=l[t];(!t||e.x<n)&&(n=e.x),(!t||e.y<i)&&(i=e.y),(!t||e.x>o)&&(o=e.x),(!t||e.y>s)&&(s=e.y)}const c=o-n,u=s-i,h=Math.min(c,u);let f=h/2;const p=new Ah([],Sh);if(0===h)return new a(n,i);for(let e=n;e<o;e+=h)for(let 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u=3===n?l.length-1:l.length,h=0;h<u;h++){1===h&&1!==n&&e.writeVarint(M(2,u-1));var f=l[h].x-i,p=l[h].y-a;e.writeVarint(S(f)),e.writeVarint(S(p)),i+=f,a+=p}3===n&&e.writeVarint(M(7,1))}}function C(t,e){var r=typeof t;\"string\"===r?e.writeStringField(1,t):\"boolean\"===r?e.writeBooleanField(7,t):\"number\"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t))}d.exports=w,d.exports.fromVectorTileJs=w,d.exports.fromGeojsonVt=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new b(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return w({layers:r})},d.exports.GeoJSONWrapper=b;var L=d.exports,I=t.bx(L);const P={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:t=>t},z=Math.fround||(O=new Float32Array(1),t=>(O[0]=+t,O[0]));var O;const D=3,R=5,F=6;class B{constructor(t){this.options=Object.assign(Object.create(P),t),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(t){const{log:e,minZoom:r,maxZoom:n}=this.options;e&&console.time(\"total time\");const i=`prepare ${t.length} points`;e&&console.time(i),this.points=t;const a=[];for(let e=0;e<t.length;e++){const r=t[e];if(!r.geometry)continue;const[n,i]=r.geometry.coordinates,o=z(U(n)),s=z(V(i));a.push(o,s,1/0,e,-1,1),this.options.reduce&&a.push(0)}let o=this.trees[n+1]=this._createTree(a);e&&console.timeEnd(i);for(let t=n;t>=r;t--){const r=+Date.now();o=this.trees[t]=this._createTree(this._cluster(o,t)),e&&console.log(\"z%d: %d clusters in %dms\",t,o.numItems,+Date.now()-r)}return e&&console.timeEnd(\"total time\"),this}getClusters(t,e){let r=((t[0]+180)%360+360)%360-180;const n=Math.max(-90,Math.min(90,t[1]));let i=180===t[2]?180:((t[2]+180)%360+360)%360-180;const a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){const t=this.getClusters([r,n,180,a],e),o=this.getClusters([-180,n,i,a],e);return t.concat(o)}const o=this.trees[this._limitZoom(e)],s=o.range(U(r),V(a),U(i),V(n)),l=o.data,c=[];for(const t of s){const e=this.stride*t;c.push(l[e+R]>1?N(l,e,this.clusterProps):this.points[l[e+D]])}return c}getChildren(t){const e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);const a=i.data;if(e*this.stride>=a.length)throw new Error(n);const o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=a[e*this.stride],l=a[e*this.stride+1],c=i.within(s,l,o),u=[];for(const e of c){const r=e*this.stride;a[r+4]===t&&u.push(a[r+R]>1?N(a,r,this.clusterProps):this.points[a[r+D]])}if(0===u.length)throw new Error(n);return u}getLeaves(t,e,r){e=e||10,r=r||0;const n=[];return this._appendLeaves(n,t,e,r,0),n}getTile(t,e,r){const n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),{extent:a,radius:o}=this.options,s=o/a,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.data,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.data,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.data,-1,r,i,u),u.features.length?u:null}getClusterExpansionZoom(t){let e=this._getOriginZoom(t)-1;for(;e<=this.options.maxZoom;){const r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e}_appendLeaves(t,e,r,n,i){const a=this.getChildren(e);for(const e of a){const a=e.properties;if(a&&a.cluster?i+a.point_count<=n?i+=a.point_count:i=this._appendLeaves(t,a.cluster_id,r,n,i):i<n?i++:t.push(e),t.length===r)break}return i}_createTree(e){const r=new t.aw(e.length/this.stride|0,this.options.nodeSize,Float32Array);for(let t=0;t<e.length;t+=this.stride)r.add(e[t],e[t+1]);return r.finish(),r.data=e,r}_addTileFeatures(t,e,r,n,i,a){for(const o of 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a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:t.length,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(const e of t)pt(o,e,a,i);return o}function pt(t,e,r,n){const i=e.geometry,a=e.type,o=[];if(t.minX=Math.min(t.minX,e.minX),t.minY=Math.min(t.minY,e.minY),t.maxX=Math.max(t.maxX,e.maxX),t.maxY=Math.max(t.maxY,e.maxY),\"Point\"===a||\"MultiPoint\"===a)for(let e=0;e<i.length;e+=3)o.push(i[e],i[e+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)dt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(let e=0;e<i.length;e++)dt(o,i[e],t,r,\"Polygon\"===a,0===e);else if(\"MultiPolygon\"===a)for(let e=0;e<i.length;e++){const n=i[e];for(let e=0;e<n.length;e++)dt(o,n[e],t,r,!0,0===e)}if(o.length){let r=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){r={};for(const t in e.tags)r[t]=e.tags[t];r.mapbox_clip_start=i.start/i.size,r.mapbox_clip_end=i.end/i.size}const s={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:r};null!==e.id&&(s.id=e.id),t.features.push(s)}}function dt(t,e,r,n,i,a){const o=n*n;if(n>0&&e.size<(i?o:n))return void(r.numPoints+=e.length/3);const s=[];for(let t=0;t<e.length;t+=3)(0===n||e[t+2]>o)&&(r.numSimplified++,s.push(e[t],e[t+1])),r.numPoints++;i&&function(t,e){let r=0;for(let e=0,n=t.length,i=n-2;e<n;i=e,e+=2)r+=(t[e]-t[i])*(t[e+1]+t[i+1]);if(r>0===e)for(let e=0,r=t.length;e<r/2;e+=2){const n=t[e],i=t[e+1];t[e]=t[r-2-e],t[e+1]=t[r-1-e],t[r-2-e]=n,t[r-1-e]=i}}(s,a),t.push(s)}const mt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class gt{constructor(t,e){const r=(e=this.options=function(t,e){for(const r in e)t[r]=e[r];return t}(Object.create(mt),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.\");let n=function(t,e){const r=[];if(\"FeatureCollection\"===t.type)for(let n=0;n<t.features.length;n++)Y(r,t.features[n],e,n);else\"Feature\"===t.type?Y(r,t,e):Y(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),n=function(t,e){const r=e.buffer/e.extent;let n=t;const i=tt(t,1,-1-r,r,0,-1,2,e),a=tt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=tt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=lt(i,1).concat(n)),a&&(n=n.concat(lt(a,-1)))),n}(n,e),n.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)))}splitTile(t,e,r,n,i,a,o){const s=[t,e,r,n],l=this.options,c=l.debug;for(;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();const u=1<<e,h=yt(e,r,n);let f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=ft(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\"));const t=`z${e}`;this.stats[t]=(this.stats[t]||0)+1,this.total++}if(f.source=t,null==i){if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue}else{if(e===l.maxZoom||e===i)continue;if(null!=i){const t=i-e;if(r!==a>>t||n!==o>>t)continue}}if(f.source=null,0===t.length)continue;c>1&&console.time(\"clipping\");const p=.5*l.buffer/l.extent,d=.5-p,m=.5+p,g=1+p;let y=null,v=null,x=null,_=null,b=tt(t,u,r-p,r+m,0,f.minX,f.maxX,l),w=tt(t,u,r+d,r+g,0,f.minX,f.maxX,l);t=null,b&&(y=tt(b,u,n-p,n+m,1,f.minY,f.maxY,l),v=tt(b,u,n+d,n+g,1,f.minY,f.maxY,l),b=null),w&&(x=tt(w,u,n-p,n+m,1,f.minY,f.maxY,l),_=tt(w,u,n+d,n+g,1,f.minY,f.maxY,l),w=null),c>1&&console.timeEnd(\"clipping\"),s.push(y||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(x||[],e+1,2*r+1,2*n),s.push(_||[],e+1,2*r+1,2*n+1)}}getTile(t,e,r){t=+t,e=+e,r=+r;const n=this.options,{extent:i,debug:a}=n;if(t<0||t>24)return null;const o=1<<t,s=yt(t,e=e+o&o-1,r);if(this.tiles[s])return ut(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);let l,c=t,u=e,h=r;for(;!l&&c>0;)c--,u>>=1,h>>=1,l=this.tiles[yt(c,u,h)];return l&&l.source?(a>1&&(console.log(\"found parent tile z%d-%d-%d\",c,u,h),console.time(\"drilling down\")),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ut(this.tiles[s],i):null):null}}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function vt(t,e){return e?t.properties[e]:t.id}function xt(t,e){if(null==t)return!0;if(\"Feature\"===t.type)return null!=vt(t,e);if(\"FeatureCollection\"===t.type){const r=new Set;for(const n of t.features){const t=vt(n,e);if(null==t)return!1;if(r.has(t))return!1;r.add(t)}return!0}return!1}function _t(t,e){const r=new Map;if(null==t);else if(\"Feature\"===t.type)r.set(vt(t,e),t);else for(const n of t.features)r.set(vt(n,e),n);return r}class bt extends a{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(e,r){return t._(this,void 0,void 0,(function*(){const t=e.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");const r=this._geoJSONIndex.getTile(t.z,t.x,t.y);if(!r)return null;const n=new p(r.features);let i=I(n);return 0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),{vectorTile:n,rawData:i.buffer}}))}loadData(e){return t._(this,void 0,void 0,(function*(){var r;null===(r=this._pendingRequest)||void 0===r||r.abort();const n=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.bu(e.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(e,this._pendingRequest),this._geoJSONIndex=e.cluster?new B(function({superclusterOptions:e,clusterProperties:r}){if(!r||!e)return e;const n={},i={},a={accumulated:null,zoom:0},o={properties:null},s=Object.keys(r);for(const e of s){const[a,o]=r[e],s=t.bB(o),l=t.bB(\"string\"==typeof a?[a,[\"accumulated\"],[\"get\",e]]:a);n[e]=s.value,i[e]=l.value}return e.map=t=>{o.properties=t;const e={};for(const t of s)e[t]=n[t].evaluate(a,o);return e},e.reduce=(t,e)=>{o.properties=e;for(const e of s)a.accumulated=t[e],t[e]=i[e].evaluate(a,o)},e}(e)).load((yield this._pendingData).features):(i=yield this._pendingData,a=e.geojsonVtOptions,new gt(i,a)),this.loaded={};const r={};if(n){const t=n.finish();t&&(r.resourceTiming={},r.resourceTiming[e.source]=JSON.parse(JSON.stringify(t)))}return r}catch(e){if(delete this._pendingRequest,t.bA(e))return{abandoned:!0};throw e}var i,a}))}getData(){return t._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(t){const e=this.loaded,r=t.uid;return e&&e[r]?super.reloadTile(t):this.loadTile(t)}loadAndProcessGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){let n=yield this.loadGeoJSON(e,r);if(delete this._pendingRequest,\"object\"!=typeof n)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(u(n,!0),e.filter){const r=t.bB(e.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));const i=n.features.filter((t=>r.value.evaluate({zoom:0},t)));n={type:\"FeatureCollection\",features:i}}return n}))}loadGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){const{promoteId:n}=e;if(e.request){const i=yield t.h(e.request,r);return this._dataUpdateable=xt(i.data,n)?_t(i.data,n):void 0,i.data}if(\"string\"==typeof e.data)try{const t=JSON.parse(e.data);return this._dataUpdateable=xt(t,n)?_t(t,n):void 0,t}catch(t){throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`)}if(!e.dataDiff)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${e.source}`);return function(t,e,r){var n,i,a,o;if(e.removeAll&&t.clear(),e.remove)for(const r of e.remove)t.delete(r);if(e.add)for(const n of e.add){const e=vt(n,r);null!=e&&t.set(e,n)}if(e.update)for(const r of e.update){let e=t.get(r.id);if(null==e)continue;const s=r.newGeometry||r.removeAllProperties,l=!r.removeAllProperties&&((null===(n=r.removeProperties)||void 0===n?void 0:n.length)>0||(null===(i=r.addOrUpdateProperties)||void 0===i?void 0:i.length)>0);if((s||l)&&(e=Object.assign({},e),t.set(r.id,e),l&&(e.properties=Object.assign({},e.properties))),r.newGeometry&&(e.geometry=r.newGeometry),r.removeAllProperties)e.properties={};else if((null===(a=r.removeProperties)||void 0===a?void 0:a.length)>0)for(const t of r.removeProperties)Object.prototype.hasOwnProperty.call(e.properties,t)&&delete e.properties[t];if((null===(o=r.addOrUpdateProperties)||void 0===o?void 0:o.length)>0)for(const{key:t,value:n}of r.addOrUpdateProperties)e.properties[t]=n}}(this._dataUpdateable,e.dataDiff,n),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(e){return t._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(t){return this._geoJSONIndex.getClusterExpansionZoom(t.clusterId)}getClusterChildren(t){return this._geoJSONIndex.getChildren(t.clusterId)}getClusterLeaves(t){return this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset)}}class wt{constructor(e){this.self=e,this.actor=new t.F(e),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(t,e)=>{if(this.externalWorkerSourceTypes[t])throw new Error(`Worker source with name \"${t}\" already registered.`);this.externalWorkerSourceTypes[t]=e},this.self.addProtocol=t.bh,this.self.removeProtocol=t.bi,this.self.registerRTLTextPlugin=e=>{if(t.bC.isParsed())throw new Error(\"RTL text plugin already registered.\");t.bC.setMethods(e)},this.actor.registerMessageHandler(\"LDT\",((t,e)=>this._getDEMWorkerSource(t,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RDT\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(e,r.source).removeTile(r)})))),this.actor.registerMessageHandler(\"GCEZ\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterExpansionZoom(r)})))),this.actor.registerMessageHandler(\"GCC\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterChildren(r)})))),this.actor.registerMessageHandler(\"GCL\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterLeaves(r)})))),this.actor.registerMessageHandler(\"LD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadData(e))),this.actor.registerMessageHandler(\"GD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).getData())),this.actor.registerMessageHandler(\"LT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).reloadTile(e))),this.actor.registerMessageHandler(\"AT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).abortTile(e))),this.actor.registerMessageHandler(\"RMT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).removeTile(e))),this.actor.registerMessageHandler(\"RS\",((e,r)=>t._(this,void 0,void 0,(function*(){if(!this.workerSources[e]||!this.workerSources[e][r.type]||!this.workerSources[e][r.type][r.source])return;const t=this.workerSources[e][r.type][r.source];delete this.workerSources[e][r.type][r.source],void 0!==t.removeSource&&t.removeSource(r)})))),this.actor.registerMessageHandler(\"RM\",(e=>t._(this,void 0,void 0,(function*(){delete this.layerIndexes[e],delete this.availableImages[e],delete this.workerSources[e],delete this.demWorkerSources[e]})))),this.actor.registerMessageHandler(\"SR\",((e,r)=>t._(this,void 0,void 0,(function*(){this.referrer=r})))),this.actor.registerMessageHandler(\"SRPS\",((t,e)=>this._syncRTLPluginState(t,e))),this.actor.registerMessageHandler(\"IS\",((e,r)=>t._(this,void 0,void 0,(function*(){this.self.importScripts(r)})))),this.actor.registerMessageHandler(\"SI\",((t,e)=>this._setImages(t,e))),this.actor.registerMessageHandler(\"UL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).update(r.layers,r.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).replace(r)}))))}_setImages(e,r){return t._(this,void 0,void 0,(function*(){this.availableImages[e]=r;for(const t in this.workerSources[e]){const n=this.workerSources[e][t];for(const t in n)n[t].availableImages=r}}))}_syncRTLPluginState(e,r){return t._(this,void 0,void 0,(function*(){if(t.bC.isParsed())return t.bC.getState();if(\"loading\"!==r.pluginStatus)return t.bC.setState(r),r;const e=r.pluginURL;if(this.self.importScripts(e),t.bC.isParsed()){const r={pluginStatus:\"loaded\",pluginURL:e};return t.bC.setState(r),r}throw t.bC.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${e}`)}))}_getAvailableImages(t){let e=this.availableImages[t];return e||(e=[]),e}_getLayerIndex(t){let r=this.layerIndexes[t];return r||(r=this.layerIndexes[t]=new e),r}_getWorkerSource(t,e,r){if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){const n={sendAsync:(e,r)=>(e.targetMapId=t,this.actor.sendAsync(e,r))};switch(e){case\"vector\":this.workerSources[t][e][r]=new a(n,this._getLayerIndex(t),this._getAvailableImages(t));break;case\"geojson\":this.workerSources[t][e][r]=new bt(n,this._getLayerIndex(t),this._getAvailableImages(t));break;default:this.workerSources[t][e][r]=new this.externalWorkerSourceTypes[e](n,this._getLayerIndex(t),this._getAvailableImages(t))}}return this.workerSources[t][e][r]}_getDEMWorkerSource(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new o),this.demWorkerSources[t][e]}}return t.i(self)&&(self.worker=new wt(self)),wt})),r(\"index\",0,(function(t,e){var r=\"4.5.2\";let n,i;const a={now:\"undefined\"!=typeof performance&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync(t){return new Promise(((r,n)=>{const i=requestAnimationFrame(r);t.signal.addEventListener(\"abort\",(()=>{cancelAnimationFrame(i),n(e.c())}))}))},getImageData(t,e=0){return this.getImageCanvasContext(t).getImageData(-e,-e,t.width+2*e,t.height+2*e)},getImageCanvasContext(t){const e=window.document.createElement(\"canvas\"),r=e.getContext(\"2d\",{willReadFrequently:!0});if(!r)throw new Error(\"failed to create canvas 2d context\");return e.width=t.width,e.height=t.height,r.drawImage(t,0,0,t.width,t.height),r},resolveURL(t){return n||(n=document.createElement(\"a\")),n.href=t,n.href},hardwareConcurrency:\"undefined\"!=typeof navigator&&navigator.hardwareConcurrency||4,get prefersReducedMotion(){return!!matchMedia&&(null==i&&(i=matchMedia(\"(prefers-reduced-motion: reduce)\")),i.matches)}};class o{static testProp(t){if(!o.docStyle)return t[0];for(let e=0;e<t.length;e++)if(t[e]in o.docStyle)return t[e];return t[0]}static create(t,e,r){const n=window.document.createElement(t);return void 0!==e&&(n.className=e),r&&r.appendChild(n),n}static createNS(t,e){return window.document.createElementNS(t,e)}static disableDrag(){o.docStyle&&o.selectProp&&(o.userSelect=o.docStyle[o.selectProp],o.docStyle[o.selectProp]=\"none\")}static enableDrag(){o.docStyle&&o.selectProp&&(o.docStyle[o.selectProp]=o.userSelect)}static setTransform(t,e){t.style[o.transformProp]=e}static addEventListener(t,e,r,n={}){\"passive\"in n?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)}static removeEventListener(t,e,r,n={}){\"passive\"in n?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)}static suppressClickInternal(t){t.preventDefault(),t.stopPropagation(),window.removeEventListener(\"click\",o.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",o.suppressClickInternal,!0),window.setTimeout((()=>{window.removeEventListener(\"click\",o.suppressClickInternal,!0)}),0)}static getScale(t){const e=t.getBoundingClientRect();return{x:e.width/t.offsetWidth||1,y:e.height/t.offsetHeight||1,boundingClientRect:e}}static getPoint(t,r,n){const i=r.boundingClientRect;return new e.P((n.clientX-i.left)/r.x-t.clientLeft,(n.clientY-i.top)/r.y-t.clientTop)}static mousePos(t,e){const r=o.getScale(t);return o.getPoint(t,r,e)}static touchPos(t,e){const r=[],n=o.getScale(t);for(let i=0;i<e.length;i++)r.push(o.getPoint(t,n,e[i]));return r}static mouseButton(t){return t.button}static remove(t){t.parentNode&&t.parentNode.removeChild(t)}}o.docStyle=\"undefined\"!=typeof window&&window.document&&window.document.documentElement.style,o.selectProp=o.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),o.transformProp=o.testProp([\"transform\",\"WebkitTransform\"]);const s={supported:!1,testSupport:function(t){!u&&c&&(h?f(t):l=t)}};let l,c,u=!1,h=!1;function f(t){const e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,c),t.isContextLost())return;s.supported=!0}catch(t){}t.deleteTexture(e),u=!0}var p;\"undefined\"!=typeof document&&(c=document.createElement(\"img\"),c.onload=()=>{l&&f(l),l=null,h=!0},c.onerror=()=>{u=!0,l=null},c.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(t){let r,n,i,a;t.resetRequestQueue=()=>{r=[],n=0,i=0,a={}},t.addThrottleControl=t=>{const e=i++;return a[e]=t,e},t.removeThrottleControl=t=>{delete a[t],l()};t.getImage=(t,n,i=!0)=>new Promise(((a,o)=>{s.supported&&(t.headers||(t.headers={}),t.headers.accept=\"image/webp,*/*\"),e.e(t,{type:\"image\"});const c={abortController:n,requestParameters:t,supportImageRefresh:i,state:\"queued\",onError:t=>{o(t)},onSuccess:t=>{a(t)}};r.push(c),l()}));const o=t=>e._(this,void 0,void 0,(function*(){t.state=\"running\";const{requestParameters:r,supportImageRefresh:i,onError:a,onSuccess:o,abortController:s}=t,u=!1===i&&!e.i(self)&&!e.g(r.url)&&(!r.headers||Object.keys(r.headers).reduce(((t,e)=>t&&\"accept\"===e),!0));n++;const h=u?c(r,s):e.m(r,s);try{const r=yield h;delete t.abortController,t.state=\"completed\",r.data instanceof HTMLImageElement||e.b(r.data)?o(r):r.data&&o({data:yield(f=r.data,\"function\"==typeof createImageBitmap?e.d(f):e.f(f)),cacheControl:r.cacheControl,expires:r.expires})}catch(e){delete t.abortController,a(e)}finally{n--,l()}var f})),l=()=>{const t=(()=>{for(const t of Object.keys(a))if(a[t]())return!0;return!1})()?e.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:e.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let e=n;e<t&&r.length>0;e++){const t=r.shift();t.abortController.signal.aborted?e--:o(t)}},c=(t,r)=>new Promise(((n,i)=>{const a=new Image,o=t.url,s=t.credentials;s&&\"include\"===s?a.crossOrigin=\"use-credentials\":(s&&\"same-origin\"===s||!e.s(o))&&(a.crossOrigin=\"anonymous\"),r.signal.addEventListener(\"abort\",(()=>{a.src=\"\",i(e.c())})),a.fetchPriority=\"high\",a.onload=()=>{a.onerror=a.onload=null,n({data:a})},a.onerror=()=>{a.onerror=a.onload=null,r.signal.aborted||i(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},a.src=o}))}(p||(p={})),p.resetRequestQueue();class d{constructor(t){this._transformRequestFn=t}transformRequest(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}}setTransformRequest(t){this._transformRequestFn=t}}function m(t){var r=new e.A(3);return r[0]=t[0],r[1]=t[1],r[2]=t[2],r}var g,y=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};g=new e.A(3),e.A!=Float32Array&&(g[0]=0,g[1]=0,g[2]=0);var v=function(t){var e=t[0],r=t[1];return e*e+r*r};function x(t){const e=[];if(\"string\"==typeof t)e.push({id:\"default\",url:t});else if(t&&t.length>0){const r=[];for(const{id:n,url:i}of t){const t=`${n}${i}`;-1===r.indexOf(t)&&(r.push(t),e.push({id:n,url:i}))}}return e}function _(t,e,r){const n=t.split(\"?\");return n[0]+=`${e}${r}`,n.join(\"?\")}function b(t,r,n,i){return e._(this,void 0,void 0,(function*(){const o=x(t),s=n>1?\"@2x\":\"\",l={},c={};for(const{id:t,url:n}of o){const a=r.transformRequest(_(n,s,\".json\"),\"SpriteJSON\");l[t]=e.h(a,i);const o=r.transformRequest(_(n,s,\".png\"),\"SpriteImage\");c[t]=p.getImage(o,i)}return yield Promise.all([...Object.values(l),...Object.values(c)]),function(t,r){return e._(this,void 0,void 0,(function*(){const e={};for(const n in t){e[n]={};const i=a.getImageCanvasContext((yield r[n]).data),o=(yield t[n]).data;for(const t in o){const{width:r,height:a,x:s,y:l,sdf:c,pixelRatio:u,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m}=o[t],g={width:r,height:a,x:s,y:l,context:i};e[n][t]={data:null,pixelRatio:u,sdf:c,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m,spriteData:g}}}return e}))}(l,c)}))}!function(){var t=new e.A(2);e.A!=Float32Array&&(t[0]=0,t[1]=0)}();class w{constructor(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)}update(t,r,n){const{width:i,height:a}=t,o=!(this.size&&this.size[0]===i&&this.size[1]===a||n),{context:s}=this,{gl:l}=s;if(this.useMipmap=Boolean(r&&r.useMipmap),l.bindTexture(l.TEXTURE_2D,this.texture),s.pixelStoreUnpackFlipY.set(!1),s.pixelStoreUnpack.set(1),s.pixelStoreUnpackPremultiplyAlpha.set(this.format===l.RGBA&&(!r||!1!==r.premultiply)),o)this.size=[i,a],t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texImage2D(l.TEXTURE_2D,0,this.format,this.format,l.UNSIGNED_BYTE,t):l.texImage2D(l.TEXTURE_2D,0,this.format,i,a,0,this.format,l.UNSIGNED_BYTE,t.data);else{const{x:r,y:o}=n||{x:0,y:0};t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texSubImage2D(l.TEXTURE_2D,0,r,o,l.RGBA,l.UNSIGNED_BYTE,t):l.texSubImage2D(l.TEXTURE_2D,0,r,o,i,a,l.RGBA,l.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&l.generateMipmap(l.TEXTURE_2D)}bind(t,e,r){const{context:n}=this,{gl:i}=n;i.bindTexture(i.TEXTURE_2D,this.texture),r!==i.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=i.LINEAR),t!==this.filter&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,e),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,e),this.wrap=e)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){const{gl:t}=this.context;t.deleteTexture(this.texture),this.texture=null}}function T(t){const{userImage:e}=t;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}class k extends e.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new e.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(t){if(this.loaded!==t&&(this.loaded=t,t)){for(const{ids:t,promiseResolve:e}of this.requestors)e(this._getImagesForIds(t));this.requestors=[]}}getImage(t){const r=this.images[t];if(r&&!r.data&&r.spriteData){const t=r.spriteData;r.data=new e.R({width:t.width,height:t.height},t.context.getImageData(t.x,t.y,t.width,t.height).data),r.spriteData=null}return r}addImage(t,e){if(this.images[t])throw new Error(`Image id ${t} already exist, use updateImage instead`);this._validate(t,e)&&(this.images[t]=e)}_validate(t,r){let n=!0;const i=r.data||r.spriteData;return this._validateStretch(r.stretchX,i&&i.width)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchX\" value`))),n=!1),this._validateStretch(r.stretchY,i&&i.height)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchY\" value`))),n=!1),this._validateContent(r.content,r)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"content\" value`))),n=!1),n}_validateStretch(t,e){if(!t)return!0;let r=0;for(const n of t){if(n[0]<r||n[1]<n[0]||e<n[1])return!1;r=n[1]}return!0}_validateContent(t,e){if(!t)return!0;if(4!==t.length)return!1;const r=e.spriteData,n=r&&r.width||e.data.width,i=r&&r.height||e.data.height;return!(t[0]<0||n<t[0]||t[1]<0||i<t[1]||t[2]<0||n<t[2]||t[3]<0||i<t[3]||t[2]<t[0]||t[3]<t[1])}updateImage(t,e,r=!0){const n=this.getImage(t);if(r&&(n.data.width!==e.data.width||n.data.height!==e.data.height))throw new Error(`size mismatch between old image (${n.data.width}x${n.data.height}) and new image (${e.data.width}x${e.data.height}).`);e.version=n.version+1,this.images[t]=e,this.updatedImages[t]=!0}removeImage(t){const e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(t){return new Promise(((e,r)=>{let n=!0;if(!this.isLoaded())for(const e of t)this.images[e]||(n=!1);this.isLoaded()||n?e(this._getImagesForIds(t)):this.requestors.push({ids:t,promiseResolve:e})}))}_getImagesForIds(t){const r={};for(const n of t){let t=this.getImage(n);t||(this.fire(new e.k(\"styleimagemissing\",{id:n})),t=this.getImage(n)),t?r[n]={data:t.data.clone(),pixelRatio:t.pixelRatio,sdf:t.sdf,version:t.version,stretchX:t.stretchX,stretchY:t.stretchY,content:t.content,textFitWidth:t.textFitWidth,textFitHeight:t.textFitHeight,hasRenderCallback:Boolean(t.userImage&&t.userImage.render)}:e.w(`Image \"${n}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return r}getPixelSize(){const{width:t,height:e}=this.atlasImage;return{width:t,height:e}}getPattern(t){const r=this.patterns[t],n=this.getImage(t);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{const r={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new e.I(r,n);this.patterns[t]={bin:r,position:i}}return this._updatePatternAtlas(),this.patterns[t].position}bind(t){const e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new w(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE)}_updatePatternAtlas(){const t=[];for(const e in this.patterns)t.push(this.patterns[e].bin);const{w:r,h:n}=e.p(t),i=this.atlasImage;i.resize({width:r||1,height:n||1});for(const t in this.patterns){const{bin:r}=this.patterns[t],n=r.x+1,a=r.y+1,o=this.getImage(t).data,s=o.width,l=o.height;e.R.copy(o,i,{x:0,y:0},{x:n,y:a},{width:s,height:l}),e.R.copy(o,i,{x:0,y:l-1},{x:n,y:a-1},{width:s,height:1}),e.R.copy(o,i,{x:0,y:0},{x:n,y:a+l},{width:s,height:1}),e.R.copy(o,i,{x:s-1,y:0},{x:n-1,y:a},{width:1,height:l}),e.R.copy(o,i,{x:0,y:0},{x:n+s,y:a},{width:1,height:l})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(t){for(const r of t){if(this.callbackDispatchedThisFrame[r])continue;this.callbackDispatchedThisFrame[r]=!0;const t=this.getImage(r);t||e.w(`Image with ID: \"${r}\" was not found`),T(t)&&this.updateImage(r,t)}}}const A=1e20;function M(t,e,r,n,i,a,o,s,l){for(let c=e;c<e+n;c++)S(t,r*a+c,a,i,o,s,l);for(let c=r;c<r+i;c++)S(t,c*a+e,1,n,o,s,l)}function S(t,e,r,n,i,a,o){a[0]=0,o[0]=-A,o[1]=A,i[0]=t[e];for(let s=1,l=0,c=0;s<n;s++){i[s]=t[e+s*r];const n=s*s;do{const t=a[l];c=(i[s]-i[t]+n-t*t)/(s-t)/2}while(c<=o[l]&&--l>-1);l++,a[l]=s,o[l]=c,o[l+1]=A}for(let s=0,l=0;s<n;s++){for(;o[l+1]<s;)l++;const n=a[l],c=s-n;t[e+s*r]=i[n]+c*c}}class E{constructor(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}}setURL(t){this.url=t}getGlyphs(t){return e._(this,void 0,void 0,(function*(){const e=[];for(const r in t)for(const n of t[r])e.push(this._getAndCacheGlyphsPromise(r,n));const r=yield Promise.all(e),n={};for(const{stack:t,id:e,glyph:i}of r)n[t]||(n[t]={}),n[t][e]=i&&{id:i.id,bitmap:i.bitmap.clone(),metrics:i.metrics};return n}))}_getAndCacheGlyphsPromise(t,r){return e._(this,void 0,void 0,(function*(){let e=this.entries[t];e||(e=this.entries[t]={glyphs:{},requests:{},ranges:{}});let n=e.glyphs[r];if(void 0!==n)return{stack:t,id:r,glyph:n};if(n=this._tinySDF(e,t,r),n)return e.glyphs[r]=n,{stack:t,id:r,glyph:n};const i=Math.floor(r/256);if(256*i>65535)throw new Error(\"glyphs > 65535 not supported\");if(e.ranges[i])return{stack:t,id:r,glyph:n};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!e.requests[i]){const r=E.loadGlyphRange(t,i,this.url,this.requestManager);e.requests[i]=r}const a=yield e.requests[i];for(const t in a)this._doesCharSupportLocalGlyph(+t)||(e.glyphs[+t]=a[+t]);return e.ranges[i]=!0,{stack:t,id:r,glyph:a[r]||null}}))}_doesCharSupportLocalGlyph(t){return!!this.localIdeographFontFamily&&(e.u[\"CJK Unified Ideographs\"](t)||e.u[\"Hangul Syllables\"](t)||e.u.Hiragana(t)||e.u.Katakana(t))}_tinySDF(t,r,n){const i=this.localIdeographFontFamily;if(!i)return;if(!this._doesCharSupportLocalGlyph(n))return;let a=t.tinySDF;if(!a){let e=\"400\";/bold/i.test(r)?e=\"900\":/medium/i.test(r)?e=\"500\":/light/i.test(r)&&(e=\"200\"),a=t.tinySDF=new E.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:i,fontWeight:e})}const o=a.draw(String.fromCharCode(n));return{id:n,bitmap:new e.o({width:o.width||60,height:o.height||60},o.data),metrics:{width:o.glyphWidth/2||24,height:o.glyphHeight/2||24,left:o.glyphLeft/2+.5||0,top:o.glyphTop/2-27.5||-8,advance:o.glyphAdvance/2||24,isDoubleResolution:!0}}}}E.loadGlyphRange=function(t,r,n,i){return e._(this,void 0,void 0,(function*(){const a=256*r,o=a+255,s=i.transformRequest(n.replace(\"{fontstack}\",t).replace(\"{range}\",`${a}-${o}`),\"Glyphs\"),l=yield e.l(s,new AbortController);if(!l||!l.data)throw new Error(`Could not load glyph range. range: ${r}, ${a}-${o}`);const c={};for(const t of e.n(l.data))c[t.id]=t;return c}))},E.TinySDF=class{constructor({fontSize:t=24,buffer:e=3,radius:r=8,cutoff:n=.25,fontFamily:i=\"sans-serif\",fontWeight:a=\"normal\",fontStyle:o=\"normal\"}={}){this.buffer=e,this.cutoff=n,this.radius=r;const s=this.size=t+4*e,l=this._createCanvas(s),c=this.ctx=l.getContext(\"2d\",{willReadFrequently:!0});c.font=`${o} ${a} ${t}px ${i}`,c.textBaseline=\"alphabetic\",c.textAlign=\"left\",c.fillStyle=\"black\",this.gridOuter=new Float64Array(s*s),this.gridInner=new Float64Array(s*s),this.f=new Float64Array(s),this.z=new Float64Array(s+1),this.v=new Uint16Array(s)}_createCanvas(t){const e=document.createElement(\"canvas\");return e.width=e.height=t,e}draw(t){const{width:e,actualBoundingBoxAscent:r,actualBoundingBoxDescent:n,actualBoundingBoxLeft:i,actualBoundingBoxRight:a}=this.ctx.measureText(t),o=Math.ceil(r),s=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(a-i))),l=Math.min(this.size-this.buffer,o+Math.ceil(n)),c=s+2*this.buffer,u=l+2*this.buffer,h=Math.max(c*u,0),f=new Uint8ClampedArray(h),p={data:f,width:c,height:u,glyphWidth:s,glyphHeight:l,glyphTop:o,glyphLeft:0,glyphAdvance:e};if(0===s||0===l)return p;const{ctx:d,buffer:m,gridInner:g,gridOuter:y}=this;d.clearRect(m,m,s,l),d.fillText(t,m,m+o);const v=d.getImageData(m,m,s,l);y.fill(A,0,h),g.fill(0,0,h);for(let t=0;t<l;t++)for(let e=0;e<s;e++){const r=v.data[4*(t*s+e)+3]/255;if(0===r)continue;const n=(t+m)*c+e+m;if(1===r)y[n]=0,g[n]=A;else{const t=.5-r;y[n]=t>0?t*t:0,g[n]=t<0?t*t:0}}M(y,0,0,c,u,c,this.f,this.v,this.z),M(g,m,m,s,l,c,this.f,this.v,this.z);for(let t=0;t<h;t++){const e=Math.sqrt(y[t])-Math.sqrt(g[t]);f[t]=Math.round(255-255*(e/this.radius+this.cutoff))}return p}};class C{constructor(){this.specification=e.v.light.position}possiblyEvaluate(t,r){return e.y(t.expression.evaluate(r))}interpolate(t,r,n){return{x:e.z.number(t.x,r.x,n),y:e.z.number(t.y,r.y,n),z:e.z.number(t.z,r.z,n)}}}const L=\"-transition\";let I;class P extends e.E{constructor(t){super(),I=I||new e.q({anchor:new e.D(e.v.light.anchor),position:new C,color:new e.D(e.v.light.color),intensity:new e.D(e.v.light.intensity)}),this._transitionable=new e.T(I),this.setLight(t),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(t,r={}){if(!this._validate(e.r,t,r))for(const e in t){const r=t[e];e.endsWith(L)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n){return(!n||!1!==n.validate)&&e.t(this,t.call(e.x,{value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v}))}}const z=new e.q({\"sky-color\":new e.D(e.v.sky[\"sky-color\"]),\"horizon-color\":new e.D(e.v.sky[\"horizon-color\"]),\"fog-color\":new e.D(e.v.sky[\"fog-color\"]),\"fog-ground-blend\":new e.D(e.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new e.D(e.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new e.D(e.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new e.D(e.v.sky[\"atmosphere-blend\"])}),O=\"-transition\";class D extends e.E{constructor(t){super(),this._transitionable=new e.T(z),this.setSky(t),this._transitioning=this._transitionable.untransitioned()}setSky(t,r={}){if(!this._validate(e.B,t,r))for(const e in t){const r=t[e];e.endsWith(O)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}getSky(){return this._transitionable.serialize()}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n={}){return!1!==(null==n?void 0:n.validate)&&e.t(this,t.call(e.x,e.e({value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v})))}calculateFogBlendOpacity(t){return t<60?0:t<70?(t-60)/10:1}}class R{constructor(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(t,e){const r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]}getDashRanges(t,e,r){const n=[];let i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});let s=t[0];for(let e=1;e<t.length;e++){o=!o;const l=t[e];i=s*r,s+=l,a=s*r,n.push({left:i,right:a,isDash:o,zeroLength:0===l})}return n}addRoundDash(t,e,r){const n=e/2;for(let e=-r;e<=r;e++){const i=this.nextRow+r+e,a=this.width*i;let o=0,s=t[o];for(let i=0;i<this.width;i++){i/s.right>1&&(s=t[++o]);const l=Math.abs(i-s.left),c=Math.abs(i-s.right),u=Math.min(l,c);let h;const f=e/r*(n+1);if(s.isDash){const t=n-Math.abs(f);h=Math.sqrt(u*u+t*t)}else h=n-Math.sqrt(u*u+f*f);this.data[a+i]=Math.max(0,Math.min(255,h+128))}}}addRegularDash(t){for(let e=t.length-1;e>=0;--e){const 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))}const e=t[0],r=t[t.length-1];e.isDash===r.isDash&&(e.left=r.left-this.width,r.right=e.right+this.width);const n=this.width*this.nextRow;let i=0,a=t[i];for(let e=0;e<this.width;e++){e/a.right>1&&(a=t[++i]);const r=Math.abs(e-a.left),o=Math.abs(e-a.right),s=Math.min(r,o),l=a.isDash?s:-s;this.data[n+e]=Math.max(0,Math.min(255,l+128))}}addDash(t,r){const n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return e.w(\"LineAtlas out of space\"),null;let a=0;for(let e=0;e<t.length;e++)a+=t[e];if(0!==a){const e=this.width/a,i=this.getDashRanges(t,this.width,e);r?this.addRoundDash(i,e,n):this.addRegularDash(i)}const o={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,o}bind(t){const 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))}}const F=\"maplibre_preloaded_worker_pool\";class B{constructor(){this.active={}}acquire(t){if(!this.workers)for(this.workers=[];this.workers.length<B.workerCount;)this.workers.push(new Worker(e.a.WORKER_URL));return this.active[t]=!0,this.workers.slice()}release(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((t=>{t.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[F]}numActive(){return Object.keys(this.active).length}}const N=Math.floor(a.hardwareConcurrency/2);let j,U;function V(){return j||(j=new B),j}B.workerCount=e.C(globalThis)?Math.max(Math.min(N,3),1):1;class q{constructor(t,r){this.workerPool=t,this.actors=[],this.currentActor=0,this.id=r;const n=this.workerPool.acquire(r);for(let t=0;t<n.length;t++){const i=n[t],a=new e.F(i,r);a.name=`Worker ${t}`,this.actors.push(a)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(t,e){const r=[];for(const n of this.actors)r.push(n.sendAsync({type:t,data:e}));return Promise.all(r)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(t=!0){this.actors.forEach((t=>{t.remove()})),this.actors=[],t&&this.workerPool.release(this.id)}registerMessageHandler(t,e){for(const r of this.actors)r.registerMessageHandler(t,e)}}function H(){return U||(U=new q(V(),e.G),U.registerMessageHandler(\"GR\",((t,r,n)=>e.m(r,n)))),U}function G(t,r){const n=e.H();return e.J(n,n,[1,1,0]),e.K(n,n,[.5*t.width,.5*t.height,1]),e.L(n,n,t.calculatePosMatrix(r.toUnwrapped()))}function Z(t,e,r,n,i,a){const o=function(t,e,r){if(t)for(const n of t){const t=e[n];if(t&&t.source===r&&\"fill-extrusion\"===t.type)return!0}else for(const t in e){const n=e[t];if(n.source===r&&\"fill-extrusion\"===n.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(W);const c=[];for(const n of l)c.push({wrappedTileID:n.tileID.wrapped().key,queryResults:n.tile.queryRenderedFeatures(e,r,t._state,n.queryGeometry,n.cameraQueryGeometry,n.scale,i,a,s,G(t.transform,n.tileID))});const u=function(t){const e={},r={};for(const n of t){const t=n.queryResults,i=n.wrappedTileID,a=r[i]=r[i]||{};for(const r in t){const n=t[r],i=a[r]=a[r]||{},o=e[r]=e[r]||[];for(const t of n)i[t.featureIndex]||(i[t.featureIndex]=!0,o.push(t))}}return e}(c);for(const e in u)u[e].forEach((e=>{const 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 u}function W(t,e){const 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}function Y(t,r,n){return e._(this,void 0,void 0,(function*(){let i=t;if(t.url?i=(yield e.h(r.transformRequest(t.url,\"Source\"),n)).data:yield a.frameAsync(n),!i)return null;const o=e.M(e.e(i,t),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in i&&i.vector_layers&&(o.vectorLayerIds=i.vector_layers.map((t=>t.id))),o}))}class X{constructor(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):Array.isArray(t)&&(4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1])))}setNorthEast(t){return this._ne=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}setSouthWest(t){return this._sw=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}extend(t){const r=this._sw,n=this._ne;let i,a;if(t instanceof e.N)i=t,a=t;else{if(!(t instanceof X)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){const e=t;return this.extend(X.convert(e))}{const r=t;return this.extend(e.N.convert(r))}}return t&&(\"lng\"in t||\"lon\"in t)&&\"lat\"in t?this.extend(e.N.convert(t)):this}if(i=t._sw,a=t._ne,!i||!a)return this}return r||n?(r.lng=Math.min(i.lng,r.lng),r.lat=Math.min(i.lat,r.lat),n.lng=Math.max(a.lng,n.lng),n.lat=Math.max(a.lat,n.lat)):(this._sw=new e.N(i.lng,i.lat),this._ne=new e.N(a.lng,a.lat)),this}getCenter(){return new e.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new e.N(this.getWest(),this.getNorth())}getSouthEast(){return new e.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(t){const{lng:r,lat:n}=e.N.convert(t),i=this._sw.lat<=n&&n<=this._ne.lat;let a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a}static convert(t){return t instanceof X?t:t?new X(t):t}static fromLngLat(t,r=0){const n=360*r/40075017,i=n/Math.cos(Math.PI/180*t.lat);return new X(new e.N(t.lng-i,t.lat-n),new e.N(t.lng+i,t.lat+n))}}class ${constructor(t,e,r){this.bounds=X.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=r||24}validateBounds(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]}contains(t){const r=Math.pow(2,t.z),n=Math.floor(e.O(this.bounds.getWest())*r),i=Math.floor(e.Q(this.bounds.getNorth())*r),a=Math.ceil(e.O(this.bounds.getEast())*r),o=Math.ceil(e.Q(this.bounds.getSouth())*r);return t.x>=n&&t.x<a&&t.y>=i&&t.y<o}}class J extends e.E{constructor(t,r,n,i){if(super(),this.id=t,this.dispatcher=n,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=e.e({type:\"vector\"},r),this._collectResourceTiming=r.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}onAdd(t){this.map=t,this.load()}setSourceProperty(t){this._tileJSONRequest&&this._tileJSONRequest.abort(),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return e.e({},this._options)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),r={request:this.map._requestManager.transformRequest(e,\"Tile\"),uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,tileSize:this.tileSize*t.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};r.request.collectResourceTiming=this._collectResourceTiming;let n=\"RT\";if(t.actor&&\"expired\"!==t.state){if(\"loading\"===t.state)return new Promise(((e,r)=>{t.reloadPromise={resolve:e,reject:r}}))}else t.actor=this.dispatcher.getActor(),n=\"LT\";t.abortController=new AbortController;try{const e=yield t.actor.sendAsync({type:n,data:r},t.abortController);if(delete t.abortController,t.aborted)return;this._afterTileLoadWorkerResponse(t,e)}catch(e){if(delete t.abortController,t.aborted)return;if(e&&404!==e.status)throw e;this._afterTileLoadWorkerResponse(t,null)}}))}_afterTileLoadWorkerResponse(t,e){if(e&&e.resourceTiming&&(t.resourceTiming=e.resourceTiming),e&&this.map._refreshExpiredTiles&&t.setExpiryData(e),t.loadVectorData(e,this.map.painter),t.reloadPromise){const e=t.reloadPromise;t.reloadPromise=null,this.loadTile(t).then(e.resolve).catch(e.reject)}}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.actor&&(yield t.actor.sendAsync({type:\"AT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),t.actor&&(yield t.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class K extends e.E{constructor(t,r,n,i){super(),this.id=t,this.dispatcher=n,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=e.e({type:\"raster\"},r),e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\"]))}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}onAdd(t){this.map=t,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(t){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}serialize(){return e.e({},this._options)}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);t.abortController=new AbortController;try{const r=yield p.getImage(this.map._requestManager.transformRequest(e,\"Tile\"),t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const e=this.map.painter.context,n=e.gl,i=r.data;t.texture=this.map.painter.getTileTexture(i.width),t.texture?t.texture.update(i,{useMipmap:!0}):(t.texture=new w(e,i,n.RGBA,{useMipmap:!0}),t.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE,n.LINEAR_MIPMAP_NEAREST)),t.state=\"loaded\"}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController)}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.texture&&this.map.painter.saveTileTexture(t.texture)}))}hasTransition(){return!1}}class Q extends K{constructor(t,r,n,i){super(t,r,n,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=e.e({type:\"raster-dem\"},r),this.encoding=r.encoding||\"mapbox\",this.redFactor=r.redFactor,this.greenFactor=r.greenFactor,this.blueFactor=r.blueFactor,this.baseShift=r.baseShift}loadTile(t){return e._(this,void 0,void 0,(function*(){const r=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),n=this.map._requestManager.transformRequest(r,\"Tile\");t.neighboringTiles=this._getNeighboringTiles(t.tileID),t.abortController=new AbortController;try{const r=yield p.getImage(n,t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){const n=r.data;this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const i=e.b(n)&&e.U()?n:yield this.readImageNow(n),a={type:this.type,uid:t.uid,source:this.id,rawImageData:i,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!t.actor||\"expired\"===t.state){t.actor=this.dispatcher.getActor();const e=yield t.actor.sendAsync({type:\"LDT\",data:a});t.dem=e,t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0,t.state=\"loaded\"}}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}readImageNow(t){return e._(this,void 0,void 0,(function*(){if(\"undefined\"!=typeof VideoFrame&&e.V()){const r=t.width+2,n=t.height+2;try{return new e.R({width:r,height:n},yield e.W(t,-1,-1,r,n))}catch(t){}}return a.getImageData(t,1)}))}_getNeighboringTiles(t){const r=t.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?t.wrap-1:t.wrap,o=(r.x+1+n)%n,s=r.x+1===n?t.wrap+1:t.wrap,l={};return l[new e.S(t.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l}unloadTile(t){return e._(this,void 0,void 0,(function*(){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&&(yield t.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:t.uid,source:this.id}}))}))}}class tt extends e.E{constructor(t,r,n,i){super(),this.id=t,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=n.getActor(),this.setEventedParent(i),this._data=r.data,this._options=e.e({},r),this._collectResourceTiming=r.collectResourceTiming,void 0!==r.maxzoom&&(this.maxzoom=r.maxzoom),r.type&&(this.type=r.type),r.attribution&&(this.attribution=r.attribution),this.promoteId=r.promoteId;const a=e.X/this.tileSize;this.workerOptions=e.e({source:this.id,cluster:r.cluster||!1,geojsonVtOptions:{buffer:(void 0!==r.buffer?r.buffer:128)*a,tolerance:(void 0!==r.tolerance?r.tolerance:.375)*a,extent:e.X,maxZoom:this.maxzoom,lineMetrics:r.lineMetrics||!1,generateId:r.generateId||!1},superclusterOptions:{maxZoom:void 0!==r.clusterMaxZoom?r.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,r.clusterMinPoints||2),extent:e.X,radius:(r.clusterRadius||50)*a,log:!1,generateId:r.generateId||!1},clusterProperties:r.clusterProperties,filter:r.filter},r.workerOptions),\"string\"==typeof this.promoteId&&(this.workerOptions.promoteId=this.promoteId)}load(){return e._(this,void 0,void 0,(function*(){yield this._updateWorkerData()}))}onAdd(t){this.map=t,this.load()}setData(t){return this._data=t,this._updateWorkerData(),this}updateData(t){return this._updateWorkerData(t),this}getData(){return e._(this,void 0,void 0,(function*(){const t=e.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:t})}))}setClusterOptions(t){return this.workerOptions.cluster=t.cluster,t&&(void 0!==t.clusterRadius&&(this.workerOptions.superclusterOptions.radius=t.clusterRadius),void 0!==t.clusterMaxZoom&&(this.workerOptions.superclusterOptions.maxZoom=t.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(t){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterChildren(t){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterLeaves(t,e,r){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:t,limit:e,offset:r}})}_updateWorkerData(t){return e._(this,void 0,void 0,(function*(){const r=e.e({type:this.type},this.workerOptions);t?r.dataDiff=t:\"string\"==typeof this._data?(r.request=this.map._requestManager.transformRequest(a.resolveURL(this._data),\"Source\"),r.request.collectResourceTiming=this._collectResourceTiming):r.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new e.k(\"dataloading\",{dataType:\"source\"}));try{const t=yield this.actor.sendAsync({type:\"LD\",data:r});if(this._pendingLoads--,this._removed||t.abandoned)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));let n=null;t.resourceTiming&&t.resourceTiming[this.id]&&(n=t.resourceTiming[this.id].slice(0));const i={dataType:\"source\"};this._collectResourceTiming&&n&&n.length>0&&e.e(i,{resourceTiming:n}),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"metadata\"}))),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"content\"})))}catch(t){if(this._pendingLoads--,this._removed)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));this.fire(new e.j(t))}}))}loaded(){return 0===this._pendingLoads}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.actor?\"RT\":\"LT\";t.actor=this.actor;const r={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};t.abortController=new AbortController;const n=yield this.actor.sendAsync({type:e,data:r},t.abortController);delete t.abortController,t.unloadVectorData(),t.aborted||t.loadVectorData(n,this.map.painter,\"RT\"===e)}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.aborted=!0}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return e.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var et=e.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class rt extends e.E{constructor(t,e,r,n){super(),this.id=t,this.dispatcher=r,this.coordinates=e.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(n),this.options=e}load(t){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{const e=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,e&&e.data&&(this.image=e.data,t&&(this.coordinates=t),this._finishLoading())}catch(t){this._request=null,this._loaded=!0,this.fire(new e.j(t))}}))}loaded(){return this._loaded}updateImage(t){return t.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=t.url,this.load(t.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(t){this.map=t,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(t){this.coordinates=t;const r=t.map(e.Z.fromLngLat);this.tileID=function(t){let r=1/0,n=1/0,i=-1/0,a=-1/0;for(const e of t)r=Math.min(r,e.x),n=Math.min(n,e.y),i=Math.max(i,e.x),a=Math.max(a,e.y);const o=i-r,s=a-n,l=Math.max(o,s),c=Math.max(0,Math.floor(-Math.log(l)/Math.LN2)),u=Math.pow(2,c);return new e.a1(c,Math.floor((r+i)/2*u),Math.floor((n+a)/2*u))}(r),this.minzoom=this.maxzoom=this.tileID.z;const n=r.map((t=>this.tileID.getTilePoint(t)._round()));return this._boundsArray=new e.$,this._boundsArray.emplaceBack(n[0].x,n[0].y,0,0),this._boundsArray.emplaceBack(n[1].x,n[1].y,e.X,0),this._boundsArray.emplaceBack(n[3].x,n[3].y,0,e.X),this._boundsArray.emplaceBack(n[2].x,n[2].y,e.X,e.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(0===Object.keys(this.tiles).length||!this.image)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new w(t,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(t){return e._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={}):t.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class nt extends rt{constructor(t,e,r,n){super(t,e,r,n),this.roundZoom=!0,this.type=\"video\",this.options=e}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1;const t=this.options;this.urls=[];for(const e of t.urls)this.urls.push(this.map._requestManager.transformRequest(e,\"Source\").url);try{const t=yield e.a3(this.urls);if(this._loaded=!0,!t)return;this.video=t,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(t){this.fire(new e.j(t))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(t){if(this.video){const r=this.video.seekable;t<r.start(0)||t>r.end(0)?this.fire(new e.j(new e.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${r.start(0)} and ${r.end(0)}-second mark.`))):this.video.currentTime=t}}getVideo(){return this.video}onAdd(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(0===Object.keys(this.tiles).length||this.video.readyState<2)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new w(t,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class it extends rt{constructor(t,r,n,i){super(t,r,n,i),r.coordinates?Array.isArray(r.coordinates)&&4===r.coordinates.length&&!r.coordinates.some((t=>!Array.isArray(t)||2!==t.length||t.some((t=>\"number\"!=typeof t))))||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"coordinates\"'))),r.animate&&\"boolean\"!=typeof r.animate&&this.fire(new e.j(new e.a2(`sources.${t}`,null,'optional \"animate\" property must be a boolean value'))),r.canvas?\"string\"==typeof r.canvas||r.canvas instanceof HTMLCanvasElement||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"canvas\"'))),this.options=r,this.animate=void 0===r.animate||r.animate}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new e.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())}))}getCanvas(){return this.canvas}onAdd(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let t=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=!0),this._hasInvalidDimensions())return;if(0===Object.keys(this.tiles).length)return;const r=this.map.painter.context,n=r.gl;this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?(t||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new w(r,this.canvas,n.RGBA,{premultiply:!0});let i=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,i=!0)}i&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(const t of[this.canvas.width,this.canvas.height])if(isNaN(t)||t<=0)return!0;return!1}}const at={},ot=t=>{switch(t){case\"geojson\":return tt;case\"image\":return rt;case\"raster\":return K;case\"raster-dem\":return Q;case\"vector\":return J;case\"video\":return nt;case\"canvas\":return it}return at[t]};const st=\"RTLPluginLoaded\";class lt extends e.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=H()}_syncState(t){return this.status=t,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:t,pluginURL:this.url}).catch((t=>{throw this.status=\"error\",t}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(t){return e._(this,arguments,void 0,(function*(t,e=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=a.resolveURL(t),!this.url)throw new Error(`requested url ${t} is invalid`);if(\"unavailable\"===this.status){if(!e)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(\"requested\"===this.status)return this._requestImport()}))}_requestImport(){return e._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new e.k(st))}))}lazyLoad(){\"unavailable\"===this.status?this.status=\"requested\":\"deferred\"===this.status&&this._requestImport()}}let ct=null;function ut(){return ct||(ct=new lt),ct}class ht{constructor(t,r){this.timeAdded=0,this.fadeEndTime=0,this.tileID=t,this.uid=e.a4(),this.uses=0,this.tileSize=r,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(t){const e=t+this.timeAdded;e<this.fadeEndTime||(this.fadeEndTime=e)}wasRequested(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state}clearTextures(t){this.demTexture&&t.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(t,r,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){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){const r={};if(!e)return r;for(const n of t){const t=n.layerIds.map((t=>e.getLayer(t))).filter(Boolean);if(0!==t.length){n.layers=t,n.stateDependentLayerIds&&(n.stateDependentLayers=n.stateDependentLayerIds.map((e=>t.filter((t=>t.id===e))[0])));for(const e of t)r[e.id]=n}}return r}(t.buckets,r.style),this.hasSymbolBuckets=!1;for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6){if(this.hasSymbolBuckets=!0,!n)break;r.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6&&r.hasRTLText){this.hasRTLText=!0,ut().lazyLoad();break}}this.queryPadding=0;for(const t in this.buckets){const e=this.buckets[t];this.queryPadding=Math.max(this.queryPadding,r.style.getLayer(t).queryRadius(e))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new e.a5}unloadVectorData(){for(const 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\"}getBucket(t){return this.buckets[t.id]}upload(t){for(const e in this.buckets){const r=this.buckets[e];r.uploadPending()&&r.upload(t)}const e=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new w(t,this.imageAtlas.image,e.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new w(t,this.glyphAtlasImage,e.ALPHA),this.glyphAtlasImage=null)}prepare(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)}queryRenderedFeatures(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}}querySourceFeatures(t,r){const n=this.latestFeatureIndex;if(!n||!n.rawTileData)return;const i=n.loadVTLayers(),a=r&&r.sourceLayer?r.sourceLayer:\"\",o=i._geojsonTileLayer||i[a];if(!o)return;const s=e.a7(r&&r.filter),{z:l,x:c,y:u}=this.tileID.canonical,h={z:l,x:c,y:u};for(let r=0;r<o.length;r++){const i=o.feature(r);if(s.needGeometry){const t=e.a8(i,!0);if(!s.filter(new e.a9(this.tileID.overscaledZ),t,this.tileID.canonical))continue}else if(!s.filter(new e.a9(this.tileID.overscaledZ),i))continue;const f=n.getId(i,a),p=new e.aa(i,l,c,u,f);p.tile=h,t.push(p)}}hasData(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(t){const r=this.expirationTime;if(t.cacheControl){const r=e.ab(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){const t=Date.now();let e=!1;if(this.expirationTime>t)e=!1;else if(r)if(this.expirationTime<r)e=!0;else{const n=this.expirationTime-r;n?this.expirationTime=t+Math.max(n,3e4):e=!0}else e=!0;e?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)}setFeatureState(t,e){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||0===Object.keys(t).length)return;const r=this.latestFeatureIndex.loadVTLayers();for(const n in this.buckets){if(!e.style.hasLayer(n))continue;const i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(!o||!s||0===Object.keys(s).length)continue;i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});const l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}holdingForFade(){return void 0!==this.symbolFadeHoldUntil}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<a.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(t){this.symbolFadeHoldUntil=a.now()+t}setDependencies(t,e){const r={};for(const t of e)r[t]=!0;this.dependencies[t]=r}hasDependency(t,e){for(const r of t){const t=this.dependencies[r];if(t)for(const r of e)if(t[r])return!0}return!1}}class ft{constructor(t,e){this.max=t,this.onRemove=e,this.reset()}reset(){for(const t in this.data)for(const e of this.data[t])e.timeout&&clearTimeout(e.timeout),this.onRemove(e.value);return this.data={},this.order=[],this}add(t,e,r){const n=t.wrapped().key;void 0===this.data[n]&&(this.data[n]=[]);const i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((()=>{this.remove(t,i)}),r)),this.data[n].push(i),this.order.push(n),this.order.length>this.max){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}has(t){return t.wrapped().key in this.data}getAndRemove(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null}_getAndRemoveByKey(t){const 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}getByKey(t){const e=this.data[t];return e?e[0].value:null}get(t){return this.has(t)?this.data[t.wrapped().key][0].value:null}remove(t,e){if(!this.has(t))return this;const r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this}setMaxSize(t){for(this.max=t;this.order.length>this.max;){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}filter(t){const e=[];for(const r in this.data)for(const n of this.data[r])t(n.value)||e.push(n);for(const t of e)this.remove(t.value.tileID,t)}}class pt{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(t,r,n){const i=String(r);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][i]=this.stateChanges[t][i]||{},e.e(this.stateChanges[t][i],n),null===this.deletedStates[t]){this.deletedStates[t]={};for(const e in this.state[t])e!==i&&(this.deletedStates[t][e]=null)}else if(this.deletedStates[t]&&null===this.deletedStates[t][i]){this.deletedStates[t][i]={};for(const e in this.state[t][i])n[e]||(this.deletedStates[t][i][e]=null)}else for(const e in n)this.deletedStates[t]&&this.deletedStates[t][i]&&null===this.deletedStates[t][i][e]&&delete this.deletedStates[t][i][e]}removeFeatureState(t,e,r){if(null===this.deletedStates[t])return;const 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}getState(t,r){const n=String(r),i=this.state[t]||{},a=this.stateChanges[t]||{},o=e.e({},i[n],a[n]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){const e=this.deletedStates[t][r];if(null===e)return{};for(const t in e)delete o[t]}return o}initializeTileState(t,e){t.setFeatureState(this.state,e)}coalesceChanges(t,r){const n={};for(const t in this.stateChanges){this.state[t]=this.state[t]||{};const r={};for(const n in this.stateChanges[t])this.state[t][n]||(this.state[t][n]={}),e.e(this.state[t][n],this.stateChanges[t][n]),r[n]=this.state[t][n];n[t]=r}for(const t in this.deletedStates){this.state[t]=this.state[t]||{};const r={};if(null===this.deletedStates[t])for(const e in this.state[t])r[e]={},this.state[t][e]={};else for(const e in this.deletedStates[t]){if(null===this.deletedStates[t][e])this.state[t][e]={};else for(const r of Object.keys(this.deletedStates[t][e]))delete this.state[t][e][r];r[e]=this.state[t][e]}n[t]=n[t]||{},e.e(n[t],r)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(n).length)for(const e in t)t[e].setFeatureState(n,r)}}class dt extends e.E{constructor(t,e,r){super(),this.id=t,this.dispatcher=r,this.on(\"data\",(t=>this._dataHandler(t))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((t,e,r,n)=>{const i=new(ot(e.type))(t,e,r,n);if(i.id!==t)throw new Error(`Expected Source id to be ${t} instead of ${i.id}`);return i})(t,e,r,this),this._tiles={},this._cache=new ft(0,(t=>this._unloadTile(t))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new pt,this._didEmitContent=!1,this._updated=!1}onAdd(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._maxTileCacheZoomLevels=t?t._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(t)}onRemove(t){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(t)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;if(!(void 0===this.used&&void 0===this.usedForTerrain||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(const t in this._tiles){const e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;const t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(t,r,n){return e._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(t),this._tileLoaded(t,r,n)}catch(r){t.state=\"errored\",404!==r.status?this._source.fire(new e.j(r,{tile:t})):this.update(this.transform,this.terrain)}}))}_unloadTile(t){this._source.unloadTile&&this._source.unloadTile(t)}_abortTile(t){this._source.abortTile&&this._source.abortTile(t),this._source.fire(new e.k(\"dataabort\",{tile:t,coord:t.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(t){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(const e in this._tiles){const r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((t=>t.tileID)).sort(mt).map((t=>t.key))}getRenderableIds(t){const r=[];for(const e in this._tiles)this._isIdRenderable(e,t)&&r.push(this._tiles[e]);return t?r.sort(((t,r)=>{const n=t.tileID,i=r.tileID,a=new e.P(n.canonical.x,n.canonical.y)._rotate(this.transform.angle),o=new e.P(i.canonical.x,i.canonical.y)._rotate(this.transform.angle);return n.overscaledZ-i.overscaledZ||o.y-a.y||o.x-a.x})).map((t=>t.tileID.key)):r.map((t=>t.tileID)).sort(mt).map((t=>t.key))}hasRenderableParent(t){const e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)}_isIdRenderable(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(const t in this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")}}_reloadTile(t,r){return e._(this,void 0,void 0,(function*(){const e=this._tiles[t];e&&(\"loading\"!==e.state&&(e.state=r),yield this._loadTile(e,t,r))}))}_tileLoaded(t,r,n){t.timeAdded=a.now(),\"expired\"===n&&(t.refreshedUponExpiration=!0),this._setTileReloadTimer(r,t),\"raster-dem\"===this.getSource().type&&t.dem&&this._backfillDEM(t),this._state.initializeTileState(t,this.map?this.map.painter:null),t.aborted||this._source.fire(new e.k(\"data\",{dataType:\"source\",tile:t,coord:t.tileID}))}_backfillDEM(t){const e=this.getRenderableIds();for(let n=0;n<e.length;n++){const i=e[n];if(t.neighboringTiles&&t.neighboringTiles[i]){const e=this.getTileByID(i);r(t,e),r(e,t)}}function r(t,e){t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0;let r=e.tileID.canonical.x-t.tileID.canonical.x;const n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}}getTile(t){return this.getTileByID(t.key)}getTileByID(t){return this._tiles[t]}_retainLoadedChildren(t,e,r,n){for(const i in this._tiles){let a=this._tiles[i];if(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)continue;let o=a.tileID;for(;a&&a.tileID.overscaledZ>e+1;){const t=a.tileID.scaledTo(a.tileID.overscaledZ-1);a=this._tiles[t.key],a&&a.hasData()&&(o=t)}let s=o;for(;s.overscaledZ>e;)if(s=s.scaledTo(s.overscaledZ-1),t[s.key]){n[o.key]=o;break}}}findLoadedParent(t,e){if(t.key in this._loadedParentTiles){const r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(let r=t.overscaledZ-1;r>=e;r--){const e=t.scaledTo(r),n=this._getLoadedTile(e);if(n)return n}}findLoadedSibling(t){return this._getLoadedTile(t)}_getLoadedTile(t){const e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)}updateCacheSize(t){const r=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),n=null===this._maxTileCacheZoomLevels?e.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels,i=Math.floor(r*n),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,i):i;this._cache.setMaxSize(a)}handleWrapJump(t){const e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){const t={};for(const e in this._tiles){const n=this._tiles[e];n.tileID=n.tileID.unwrapTo(n.tileID.wrap+r),t[n.tileID.key]=n}this._tiles=t;for(const t in this._timers)clearTimeout(this._timers[t]),delete this._timers[t];for(const t in this._tiles){const e=this._tiles[t];this._setTileReloadTimer(t,e)}}}_updateCoveredAndRetainedTiles(t,e,r,n,i,o){const s={},l={},c=Object.keys(t),u=a.now();for(const r of c){const n=t[r],i=this._tiles[r];if(!i||0!==i.fadeEndTime&&i.fadeEndTime<=u)continue;const a=this.findLoadedParent(n,e),o=this.findLoadedSibling(n),c=a||o||null;c&&(this._addTile(c.tileID),s[c.tileID.key]=c.tileID),l[r]=n}this._retainLoadedChildren(l,n,r,t);for(const e in s)t[e]||(this._coveredTiles[e]=!0,t[e]=s[e]);if(o){const e={},r={};for(const t of i)this._tiles[t.key].hasData()?e[t.key]=t:r[t.key]=t;for(const n in r){const i=r[n].children(this._source.maxzoom);this._tiles[i[0].key]&&this._tiles[i[1].key]&&this._tiles[i[2].key]&&this._tiles[i[3].key]&&(e[i[0].key]=t[i[0].key]=i[0],e[i[1].key]=t[i[1].key]=i[1],e[i[2].key]=t[i[2].key]=i[2],e[i[3].key]=t[i[3].key]=i[3],delete r[n])}for(const n in r){const i=r[n],a=this.findLoadedParent(i,this._source.minzoom),o=this.findLoadedSibling(i),s=a||o||null;if(s){e[s.tileID.key]=t[s.tileID.key]=s.tileID;for(const t in e)e[t].isChildOf(s.tileID)&&delete e[t]}}for(const t in this._tiles)e[t]||(this._coveredTiles[t]=!0)}}update(t,r){if(!this._sourceLoaded||this._paused)return;let n;this.transform=t,this.terrain=r,this.updateCacheSize(t),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?n=t.getVisibleUnwrappedCoordinates(this._source.tileID).map((t=>new e.S(t.canonical.z,t.wrap,t.canonical.z,t.canonical.x,t.canonical.y))):(n=t.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:r}),this._source.hasTile&&(n=n.filter((t=>this._source.hasTile(t))))):n=[];const i=t.coveringZoomLevel(this._source),a=Math.max(i-dt.maxOverzooming,this._source.minzoom),o=Math.max(i+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){const t={};for(const e of n)if(e.canonical.z>this._source.minzoom){const r=e.scaledTo(e.canonical.z-1);t[r.key]=r;const n=e.scaledTo(Math.max(this._source.minzoom,Math.min(e.canonical.z,5)));t[n.key]=n}n=n.concat(Object.values(t))}const s=0===n.length&&!this._updated&&this._didEmitContent;this._updated=!0,s&&this.fire(new e.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));const l=this._updateRetainedTiles(n,i);gt(this._source.type)&&this._updateCoveredAndRetainedTiles(l,a,o,i,n,r);for(const t in l)this._tiles[t].clearFadeHold();const c=e.ac(this._tiles,l);for(const t of c){const e=this._tiles[t];e.hasSymbolBuckets&&!e.holdingForFade()?e.setHoldDuration(this.map._fadeDuration):e.hasSymbolBuckets&&!e.symbolFadeFinished()||this._removeTile(t)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(const t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)}_updateRetainedTiles(t,e){var r;const n={},i={},a=Math.max(e-dt.maxOverzooming,this._source.minzoom),o=Math.max(e+dt.maxUnderzooming,this._source.minzoom),s={};for(const r of t){const t=this._addTile(r);n[r.key]=r,t.hasData()||e<this._source.maxzoom&&(s[r.key]=r)}this._retainLoadedChildren(s,e,o,n);for(const o of t){let t=this._tiles[o.key];if(t.hasData())continue;if(e+1>this._source.maxzoom){const t=o.children(this._source.maxzoom)[0],e=this.getTile(t);if(e&&e.hasData()){n[t.key]=t;continue}}else{const t=o.children(this._source.maxzoom);if(n[t[0].key]&&n[t[1].key]&&n[t[2].key]&&n[t[3].key])continue}let s=t.wasRequested();for(let e=o.overscaledZ-1;e>=a;--e){const a=o.scaledTo(e);if(i[a.key])break;if(i[a.key]=!0,t=this.getTile(a),!t&&s&&(t=this._addTile(a)),t){const e=t.hasData();if((e||!(null===(r=this.map)||void 0===r?void 0:r.cancelPendingTileRequestsWhileZooming)||s)&&(n[a.key]=a),s=t.wasRequested(),e)break}}}return n}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(const t in this._tiles){const e=[];let r,n=this._tiles[t].tileID;for(;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);const t=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(t),r)break;n=t}for(const t of e)this._loadedParentTiles[t]=r}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(const t in this._tiles){const e=this._tiles[t].tileID,r=this._getLoadedTile(e);this._loadedSiblingTiles[e.key]=r}}_addTile(t){let r=this._tiles[t.key];if(r)return r;r=this._cache.getAndRemove(t),r&&(this._setTileReloadTimer(t.key,r),r.tileID=t,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[t.key]&&(clearTimeout(this._cacheTimers[t.key]),delete this._cacheTimers[t.key],this._setTileReloadTimer(t.key,r)));const n=r;return r||(r=new ht(t,this._source.tileSize*t.overscaleFactor()),this._loadTile(r,t.key,r.state)),r.uses++,this._tiles[t.key]=r,n||this._source.fire(new e.k(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r}_setTileReloadTimer(t,e){t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);const r=e.getExpiryTimeout();r&&(this._timers[t]=setTimeout((()=>{this._reloadTile(t,\"expired\"),delete this._timers[t]}),r))}_removeTile(t){const 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))))}_dataHandler(t){const e=t.sourceDataType;\"source\"===t.dataType&&\"metadata\"===e&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&\"source\"===t.dataType&&\"content\"===e&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(const t in this._tiles)this._removeTile(t);this._cache.reset()}tilesIn(t,r,n){const i=[],a=this.transform;if(!a)return i;const o=n?a.getCameraQueryGeometry(t):t,s=t.map((t=>a.pointCoordinate(t,this.terrain))),l=o.map((t=>a.pointCoordinate(t,this.terrain))),c=this.getIds();let u=1/0,h=1/0,f=-1/0,p=-1/0;for(const t of l)u=Math.min(u,t.x),h=Math.min(h,t.y),f=Math.max(f,t.x),p=Math.max(p,t.y);for(let t=0;t<c.length;t++){const n=this._tiles[c[t]];if(n.holdingForFade())continue;const o=n.tileID,d=Math.pow(2,a.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*e.X/n.tileSize/d,g=[o.getTilePoint(new e.Z(u,h)),o.getTilePoint(new e.Z(f,p))];if(g[0].x-m<e.X&&g[0].y-m<e.X&&g[1].x+m>=0&&g[1].y+m>=0){const t=s.map((t=>o.getTilePoint(t))),e=l.map((t=>o.getTilePoint(t)));i.push({tile:n,tileID:o,queryGeometry:t,cameraQueryGeometry:e,scale:d})}}return i}getVisibleCoordinates(t){const e=this.getRenderableIds(t).map((t=>this._tiles[t].tileID));for(const t of e)t.posMatrix=this.transform.calculatePosMatrix(t.toUnwrapped());return e}hasTransition(){if(this._source.hasTransition())return!0;if(gt(this._source.type)){const t=a.now();for(const e in this._tiles)if(this._tiles[e].fadeEndTime>=t)return!0}return!1}setFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)}removeFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)}getFeatureState(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)}setDependencies(t,e,r){const n=this._tiles[t];n&&n.setDependencies(e,r)}reloadTilesForDependencies(t,e){for(const r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((r=>!r.hasDependency(t,e)))}}function mt(t,e){const 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 gt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}dt.maxOverzooming=10,dt.maxUnderzooming=3;class yt{constructor(t,e){this.reset(t,e)}reset(t,e){this.points=t||[],this._distances=[0];for(let t=1;t<this.points.length;t++)this._distances[t]=this._distances[t-1]+this.points[t].dist(this.points[t-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}lerp(t){if(1===this.points.length)return this.points[0];t=e.ad(t,0,1);let r=1,n=this._distances[r];const i=t*this.paddedLength+this.padding;for(;n<i&&r<this._distances.length;)n=this._distances[++r];const a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))}}function vt(t,e){let r=!0;return\"always\"===t||\"never\"!==t&&\"never\"!==e||(r=!1),r}class xt{constructor(t,e,r){const n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(let t=0;t<this.xCellCount*this.yCellCount;t++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)}insertCircle(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)}_insertBoxCell(t,e,r,n,i,a){this.boxCells[i].push(a)}_insertCircleCell(t,e,r,n,i,a){this.circleCells[i].push(a)}_query(t,e,r,n,i,a,o){if(r<0||t>this.width||n<0||e>this.height)return[];const s=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return[{key:null,x1:t,y1:e,x2:r,y2:n}];for(let t=0;t<this.boxKeys.length;t++)s.push({key:this.boxKeys[t],x1:this.bboxes[4*t],y1:this.bboxes[4*t+1],x2:this.bboxes[4*t+2],y2:this.bboxes[4*t+3]});for(let t=0;t<this.circleKeys.length;t++){const e=this.circles[3*t],r=this.circles[3*t+1],n=this.circles[3*t+2];s.push({key:this.circleKeys[t],x1:e-n,y1:r-n,x2:e+n,y2:r+n})}}else{const l={hitTest:i,overlapMode:a,seenUids:{box:{},circle:{}}};this._forEachCell(t,e,r,n,this._queryCell,s,l,o)}return s}query(t,e,r,n){return this._query(t,e,r,n,!1,null)}hitTest(t,e,r,n,i,a){return this._query(t,e,r,n,!0,i,a).length>0}hitTestCircle(t,e,r,n,i){const a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!1;const c=[],u={hitTest:!0,overlapMode:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),c.length>0}_queryCell(t,e,r,n,i,a,o,s){const{seenUids:l,hitTest:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const i=this.bboxes;for(const o of h)if(!l.box[o]){l.box[o]=!0;const h=4*o,f=this.boxKeys[o];if(t<=i[h+2]&&e<=i[h+3]&&r>=i[h+0]&&n>=i[h+1]&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))&&(a.push({key:f,x1:i[h],y1:i[h+1],x2:i[h+2],y2:i[h+3]}),c))return!0}}const f=this.circleCells[i];if(null!==f){const i=this.circles;for(const o of f)if(!l.circle[o]){l.circle[o]=!0;const h=3*o,f=this.circleKeys[o];if(this._circleAndRectCollide(i[h],i[h+1],i[h+2],t,e,r,n)&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))){const t=i[h],e=i[h+1],r=i[h+2];if(a.push({key:f,x1:t-r,y1:e-r,x2:t+r,y2:e+r}),c)return!0}}}return!1}_queryCellCircle(t,e,r,n,i,a,o,s){const{circle:l,seenUids:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const t=this.bboxes;for(const e of h)if(!c.box[e]){c.box[e]=!0;const r=4*e,n=this.boxKeys[e];if(this._circleAndRectCollide(l.x,l.y,l.radius,t[r+0],t[r+1],t[r+2],t[r+3])&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}const f=this.circleCells[i];if(null!==f){const t=this.circles;for(const e of f)if(!c.circle[e]){c.circle[e]=!0;const r=3*e,n=this.circleKeys[e];if(this._circlesCollide(t[r],t[r+1],t[r+2],l.x,l.y,l.radius)&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}}_forEachCell(t,e,r,n,i,a,o,s){const l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n);for(let f=l;f<=u;f++)for(let l=c;l<=h;l++){const c=this.xCellCount*l+f;if(i.call(this,t,e,r,n,c,a,o,s))return}}_convertToXCellCoord(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))}_convertToYCellCoord(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))}_circlesCollide(t,e,r,n,i,a){const o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s}_circleAndRectCollide(t,e,r,n,i,a,o){const s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;const c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;const h=l-s,f=u-c;return h*h+f*f<=r*r}}function _t(t,r,n,i,a){const o=e.H();return r?(e.K(o,o,[1/a,1/a,1]),n||e.ae(o,o,i.angle)):e.L(o,i.labelPlaneMatrix,t),o}function bt(t,r,n,i,a){if(r){const r=e.af(t);return e.K(r,r,[a,a,1]),n||e.ae(r,r,-i.angle),r}return i.glCoordMatrix}function wt(t,r,n){let i;n?(i=[t.x,t.y,n(t.x,t.y),1],e.ag(i,i,r)):(i=[t.x,t.y,0,1],function(t,e,r){const n=e[0],i=e[1];t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15]}(i,i,r));const a=i[3];return{point:new e.P(i[0]/a,i[1]/a),signedDistanceFromCamera:a,isOccluded:!1}}function Tt(t,e){return.5+t/e*.5}function kt(t,e){return t.x>=-e[0]&&t.x<=e[0]&&t.y>=-e[1]&&t.y<=e[1]}function At(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m){const g=i?t.textSizeData:t.iconSizeData,y=e.ah(g,n.transform.zoom),v=[256/n.width*2+1,256/n.height*2+1],x=i?t.text.dynamicLayoutVertexArray:t.icon.dynamicLayoutVertexArray;x.clear();const _=t.lineVertexArray,b=i?t.text.placedSymbolArray:t.icon.placedSymbolArray,w=n.transform.width/n.transform.height;let T=!1;for(let i=0;i<b.length;i++){const k=b.get(i);if(k.hidden||k.writingMode===e.ai.vertical&&!T){Rt(k.numGlyphs,x);continue}T=!1;const A=wt(new e.P(k.anchorX,k.anchorY),r,m);if(!kt(A.point,v)){Rt(k.numGlyphs,x);continue}const M=A.signedDistanceFromCamera,S=Tt(n.transform.cameraToCenterDistance,M),E=e.aj(g,y,k),C=s?E/S:E*S,L={getElevation:m,labelPlaneMatrix:a,lineVertexArray:_,pitchWithMap:s,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:u,tileAnchorPoint:new e.P(k.anchorX,k.anchorY),unwrappedTileID:h,width:f,height:p,translation:d},I=Et(L,k,C,!1,l,r,o,t.glyphOffsetArray,x,w,c);T=I.useVertical,(I.notEnoughRoom||T||I.needsFlipping&&Et(L,k,C,!0,l,r,o,t.glyphOffsetArray,x,w,c).notEnoughRoom)&&Rt(k.numGlyphs,x)}i?t.text.dynamicLayoutVertexBuffer.updateData(x):t.icon.dynamicLayoutVertexBuffer.updateData(x)}function Mt(t,e,r,n,i,a,o,s){const l=a.glyphStartIndex+a.numGlyphs,c=a.lineStartIndex,u=a.lineStartIndex+a.lineLength,h=e.getoffsetX(a.glyphStartIndex),f=e.getoffsetX(l-1),p=Ot(t*h,r,n,i,a.segment,c,u,s,o);if(!p)return null;const d=Ot(t*f,r,n,i,a.segment,c,u,s,o);return d?s.projectionCache.anyProjectionOccluded?null:{first:p,last:d}:null}function St(t,r,n,i){return t===e.ai.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(t===e.ai.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function Et(t,r,n,i,a,o,s,l,c,u,h){const f=n/24,p=r.lineOffsetX*f,d=r.lineOffsetY*f;let m;if(r.numGlyphs>1){const e=r.glyphStartIndex+r.numGlyphs,n=r.lineStartIndex,o=r.lineStartIndex+r.lineLength,c=Mt(f,l,p,d,i,r,h,t);if(!c)return{notEnoughRoom:!0};const g=wt(c.first.point,s,t.getElevation).point,y=wt(c.last.point,s,t.getElevation).point;if(a&&!i){const t=St(r.writingMode,g,y,u);if(t)return t}m=[c.first];for(let a=r.glyphStartIndex+1;a<e-1;a++)m.push(Ot(f*l.getoffsetX(a),p,d,i,r.segment,n,o,t,h));m.push(c.last)}else{if(a&&!i){const n=wt(t.tileAnchorPoint,o,t.getElevation).point,i=r.lineStartIndex+r.segment+1,a=new e.P(t.lineVertexArray.getx(i),t.lineVertexArray.gety(i)),s=wt(a,o,t.getElevation),l=s.signedDistanceFromCamera>0?s.point:function(t,e,r,n,i,a){return Ct(t,e,r,n,i,a)}(t.tileAnchorPoint,a,n,1,o,t),c=St(r.writingMode,n,l,u);if(c)return c}const n=Ot(f*l.getoffsetX(r.glyphStartIndex),p,d,i,r.segment,r.lineStartIndex,r.lineStartIndex+r.lineLength,t,h);if(!n||t.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};m=[n]}for(const t of m)e.ak(c,t.point,t.angle);return{}}function Ct(t,e,r,n,i,a){const o=t.add(t.sub(e)._unit()),s=void 0!==i?wt(o,i,a.getElevation).point:It(o.x,o.y,a).point,l=r.sub(s);return r.add(l._mult(n/l.mag()))}function Lt(t,r,n){const i=r.projectionCache;if(i.projections[t])return i.projections[t];const a=new e.P(r.lineVertexArray.getx(t),r.lineVertexArray.gety(t)),o=It(a.x,a.y,r);if(o.signedDistanceFromCamera>0)return i.projections[t]=o.point,i.anyProjectionOccluded=i.anyProjectionOccluded||o.isOccluded,o.point;const s=t-n.direction,l=0===n.distanceFromAnchor?r.tileAnchorPoint:new e.P(r.lineVertexArray.getx(s),r.lineVertexArray.gety(s)),c=n.absOffsetX-n.distanceFromAnchor+1;return function(t,e,r,n,i){return Ct(t,e,r,n,void 0,i)}(l,a,n.previousVertex,c,r)}function It(t,r,n){const i=t+n.translation[0],a=r+n.translation[1];let o;return!n.pitchWithMap&&n.projection.useSpecialProjectionForSymbols?(o=n.projection.projectTileCoordinates(i,a,n.unwrappedTileID,n.getElevation),o.point.x=(.5*o.point.x+.5)*n.width,o.point.y=(.5*-o.point.y+.5)*n.height):(o=wt(new e.P(i,a),n.labelPlaneMatrix,n.getElevation),o.isOccluded=!1),o}function Pt(t,e,r){return t._unit()._perp()._mult(e*r)}function zt(t,r,n,i,a,o,s,l,c){if(l.projectionCache.offsets[t])return l.projectionCache.offsets[t];const u=n.add(r);if(t+c.direction<i||t+c.direction>=a)return l.projectionCache.offsets[t]=u,u;const h=Lt(t+c.direction,l,c),f=Pt(h.sub(n),s,c.direction),p=n.add(f),d=h.add(f);return l.projectionCache.offsets[t]=e.al(o,u,p,d)||u,l.projectionCache.offsets[t]}function Ot(t,e,r,n,i,a,o,s,l){const c=n?t-e:t+e;let u=c>0?1:-1,h=0;n&&(u*=-1,h=Math.PI),u<0&&(h+=Math.PI);let f,p=u>0?a+i:a+i+1;s.projectionCache.cachedAnchorPoint?f=s.projectionCache.cachedAnchorPoint:(f=It(s.tileAnchorPoint.x,s.tileAnchorPoint.y,s).point,s.projectionCache.cachedAnchorPoint=f);let d,m,g=f,y=f,v=0,x=0;const _=Math.abs(c),b=[];let w;for(;v+x<=_;){if(p+=u,p<a||p>=o)return null;v+=x,y=g,m=d;const t={absOffsetX:_,direction:u,distanceFromAnchor:v,previousVertex:y};if(g=Lt(p,s,t),0===r)b.push(y),w=g.sub(y);else{let e;const n=g.sub(y);e=0===n.mag()?Pt(Lt(p+u,s,t).sub(g),r,u):Pt(n,r,u),m||(m=y.add(e)),d=zt(p,e,g,a,o,m,r,s,t),b.push(m),w=d.sub(m)}x=w.mag()}const T=(_-v)/x,k=w._mult(T)._add(m||y),A=h+Math.atan2(g.y-y.y,g.x-y.x);return b.push(k),{point:k,angle:l?A:0,path:b}}const Dt=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Rt(t,e){for(let r=0;r<t;r++){const t=e.length;e.resize(t+4),e.float32.set(Dt,3*t)}}const Ft=100;class Bt{constructor(t,e,r=new xt(t.width+200,t.height+200,25),n=new xt(t.width+200,t.height+200,25)){this.transform=t,this.mapProjection=e,this.grid=r,this.ignoredGrid=n,this.pitchFactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+Ft,this.screenBottomBoundary=t.height+Ft,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(t,e,r,n,i,a,o,s,l,c,u){const h=t.anchorPointX+s[0],f=t.anchorPointY+s[1],p=this.projectAndGetPerspectiveRatio(n,h,f,i,c),d=this._projectCollisionBox(t,r,n,i,a,o,s,p,c,u),[m,g,y,v]=d.box;return this.mapProjection.useSpecialProjectionForSymbols&&(a?d.allPointsOccluded:this.mapProjection.isOccluded(h,f,i))||p.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(m,g,y,v)||\"always\"!==e&&this.grid.hitTest(m,g,y,v,e,l)?{box:[m,g,y,v],placeable:!1,offscreen:!1}:{box:[m,g,y,v],placeable:!0,offscreen:this.isOffscreen(m,g,y,v)}}placeCollisionCircles(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=[],v=new e.P(r.anchorX,r.anchorY),x=this.getPerspectiveRatio(o,v.x,v.y,s,g),_=(h?a/x:a*x)/e.aq,b=r.lineOffsetX*_,w=r.lineOffsetY*_,T={getElevation:g,labelPlaneMatrix:l,lineVertexArray:n,pitchWithMap:h,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:v,unwrappedTileID:s,width:this.transform.width,height:this.transform.height,translation:m},k=Mt(_,i,b,w,!1,r,!1,T);let A=!1,M=!1,S=!0;if(k){const r=.5*p*x+d,n=new e.P(-100,-100),i=new e.P(this.screenRightBoundary,this.screenBottomBoundary),a=new yt,o=k.first,s=k.last;let l=[];for(let t=o.path.length-1;t>=1;t--)l.push(o.path[t]);for(let t=1;t<s.path.length;t++)l.push(s.path[t]);const h=2.5*r;if(c){const t=this.projectPathToScreenSpace(l,T,c);l=t.some((t=>t.signedDistanceFromCamera<=0))?[]:t.map((t=>t.point))}let m=[];if(l.length>0){const t=l[0].clone(),r=l[0].clone();for(let e=1;e<l.length;e++)t.x=Math.min(t.x,l[e].x),t.y=Math.min(t.y,l[e].y),r.x=Math.max(r.x,l[e].x),r.y=Math.max(r.y,l[e].y);m=t.x>=n.x&&r.x<=i.x&&t.y>=n.y&&r.y<=i.y?[l]:r.x<n.x||t.x>i.x||r.y<n.y||t.y>i.y?[]:e.am([l],n.x,n.y,i.x,i.y)}for(const e of m){a.reset(e,.25*r);let n=0;n=a.length<=.5*r?1:Math.ceil(a.paddedLength/h)+1;for(let e=0;e<n;e++){const i=e/Math.max(n-1,1),o=a.lerp(i),s=o.x+Ft,l=o.y+Ft;y.push(s,l,r,0);const c=s-r,h=l-r,p=s+r,d=l+r;if(S=S&&this.isOffscreen(c,h,p,d),M=M||this.isInsideGrid(c,h,p,d),\"always\"!==t&&this.grid.hitTestCircle(s,l,r,t,f)&&(A=!0,!u))return{circles:[],offscreen:!1,collisionDetected:A}}}}return{circles:!u&&A||!M||x<this.perspectiveRatioCutoff?[]:y,offscreen:S,collisionDetected:A}}projectPathToScreenSpace(t,e,r){return t.map((t=>wt(t,r,e.getElevation)))}queryRenderedSymbols(t){if(0===t.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};const r=[];let n=1/0,i=1/0,a=-1/0,o=-1/0;for(const s of t){const t=new e.P(s.x+Ft,s.y+Ft);n=Math.min(n,t.x),i=Math.min(i,t.y),a=Math.max(a,t.x),o=Math.max(o,t.y),r.push(t)}const s=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o)),l={},c={};for(const t of s){const n=t.key;if(void 0===l[n.bucketInstanceId]&&(l[n.bucketInstanceId]={}),l[n.bucketInstanceId][n.featureIndex])continue;const i=[new e.P(t.x1,t.y1),new e.P(t.x2,t.y1),new e.P(t.x2,t.y2),new e.P(t.x1,t.y2)];e.an(r,i)&&(l[n.bucketInstanceId][n.featureIndex]=!0,void 0===c[n.bucketInstanceId]&&(c[n.bucketInstanceId]=[]),c[n.bucketInstanceId].push(n.featureIndex))}return c}insertCollisionBox(t,e,r,n,i,a){const o={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};(r?this.ignoredGrid:this.grid).insert(o,t[0],t[1],t[2],t[3])}insertCollisionCircles(t,e,r,n,i,a){const o=r?this.ignoredGrid:this.grid,s={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};for(let e=0;e<t.length;e+=4)o.insertCircle(s,t[e],t[e+1],t[e+2])}projectAndGetPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return{point:new e.P((o.point.x+1)/2*this.transform.width+Ft,(1-o.point.y)/2*this.transform.height+Ft),perspectiveRatio:.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5,isOccluded:o.isOccluded,signedDistanceFromCamera:o.signedDistanceFromCamera}}getPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5}isOffscreen(t,e,r,n){return r<Ft||t>=this.screenRightBoundary||n<Ft||e>this.screenBottomBoundary}isInsideGrid(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary}getViewportMatrix(){const t=e.ao([]);return e.J(t,t,[-100,-100,0]),t}_projectCollisionBox(t,r,n,i,a,o,s,l,c,u){const h=r*l.perspectiveRatio;let f=new e.P(1,0),p=new e.P(0,1);const d=new e.P(t.anchorPointX+s[0],t.anchorPointY+s[1]);if(o&&!a){const t=this.projectAndGetPerspectiveRatio(n,d.x+1,d.y,i,c).point.sub(l.point).unit(),r=Math.atan(t.y/t.x)+(t.x<0?Math.PI:0),a=Math.sin(r),o=Math.cos(r);f=new e.P(o,a),p=new e.P(-a,o)}else if(!o&&a){const t=-this.transform.angle,r=Math.sin(t),n=Math.cos(t);f=new e.P(n,r),p=new e.P(-r,n)}let m=l.point,g=h;if(a){m=d;const t=this.transform.zoom-Math.floor(this.transform.zoom);if(g=Math.pow(2,-t),g*=this.mapProjection.getPitchedTextCorrection(this.transform,d,i),!u){const t=l.signedDistanceFromCamera/this.transform.cameraToCenterDistance;g*=e.ad(.5+.5*t,0,4)}}u&&(m=m.add(f.mult(u.x*g)).add(p.mult(u.y*g)));const y=t.x1*g,v=t.x2*g,x=(y+v)/2,_=t.y1*g,b=t.y2*g,w=(_+b)/2,T=[{offsetX:y,offsetY:_},{offsetX:x,offsetY:_},{offsetX:v,offsetY:_},{offsetX:v,offsetY:w},{offsetX:v,offsetY:b},{offsetX:x,offsetY:b},{offsetX:y,offsetY:b},{offsetX:y,offsetY:w}];let k=[];for(const{offsetX:t,offsetY:r}of T)k.push(new e.P(m.x+f.x*t+p.x*r,m.y+f.y*t+p.y*r));let A=!1;if(a){const t=k.map((t=>this.projectAndGetPerspectiveRatio(n,t.x,t.y,i,c)));A=t.some((t=>!t.isOccluded)),k=t.map((t=>t.point))}else A=!0;return{box:e.ap(k),allPointsOccluded:!A}}}function Nt(t,r,n){return r*(e.X/(t.tileSize*Math.pow(2,n-t.tileID.overscaledZ)))}class jt{constructor(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}isHidden(){return 0===this.opacity&&!this.placed}}class Ut{constructor(t,e,r,n,i){this.text=new jt(t?t.text:null,e,r,i),this.icon=new jt(t?t.icon:null,e,n,i)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Vt{constructor(t,e,r){this.text=t,this.icon=e,this.skipFade=r}}class qt{constructor(){this.invProjMatrix=e.H(),this.viewportMatrix=e.H(),this.circles=[]}}class Ht{constructor(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i}}class Gt{constructor(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}}get(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){const e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:t=>t.collisionGroupID===e}}return this.collisionGroups[t]}}function Zt(t,r,n,i,a){const{horizontalAlign:o,verticalAlign:s}=e.av(t),l=-(o-.5)*r,c=-(s-.5)*n;return new e.P(l+i[0]*a,c+i[1]*a)}class Wt{constructor(t,e,r,n,i,a){this.transform=t.clone(),this.terrain=r,this.collisionIndex=new Bt(this.transform,e),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=n,this.retainedQueryData={},this.collisionGroups=new Gt(i),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=a,a&&(a.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(t){const e=this.terrain;return e?(r,n)=>e.getElevation(t,r,n):null}getBucketParts(t,r,n,i){const a=n.getBucket(r),o=n.latestFeatureIndex;if(!a||!o||r.id!==a.layerIds[0])return;const s=n.collisionBoxArray,l=a.layers[0].layout,c=a.layers[0].paint,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),h=n.tileSize/e.X,f=n.tileID.toUnwrapped(),p=this.transform.calculatePosMatrix(f),d=\"map\"===l.get(\"text-pitch-alignment\"),m=\"map\"===l.get(\"text-rotation-alignment\"),g=Nt(n,1,this.transform.zoom),y=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"text-translate\"),c.get(\"text-translate-anchor\")),v=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"icon-translate\"),c.get(\"icon-translate-anchor\")),x=_t(p,d,m,this.transform,g);let _=null;if(d){const t=bt(p,d,m,this.transform,g);_=e.L([],this.transform.labelPlaneMatrix,t)}this.retainedQueryData[a.bucketInstanceId]=new Ht(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);const b={bucket:a,layout:l,translationText:y,translationIcon:v,posMatrix:p,unwrappedTileID:f,textLabelPlaneMatrix:x,labelToScreenMatrix:_,scale:u,textPixelRatio:h,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:e.ah(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(const e of a.sortKeyRanges){const{sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i}=e;t.push({sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i,parameters:b})}else t.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:b})}attemptAnchorPlacement(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x){const _=e.ar[t.textAnchor],b=[t.textOffset0,t.textOffset1],w=Zt(_,n,i,b,a),T=this.collisionIndex.placeCollisionBox(r,f,l,c,u,s,o,g,h.predicate,x,w);if((!v||this.collisionIndex.placeCollisionBox(v,f,l,c,u,s,o,y,h.predicate,x,w).placeable)&&T.placeable){let t;if(this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(t=this.prevPlacement.variableOffsets[p.crossTileID].anchor),0===p.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[p.crossTileID]={textOffset:b,width:n,height:i,anchor:_,textBoxScale:a,prevAnchor:t},this.markUsedJustification(d,_,p,m),d.allowVerticalPlacement&&(this.markUsedOrientation(d,m,p),this.placedOrientations[p.crossTileID]=m),{shift:w,placedGlyphBoxes:T}}}placeLayerBucketPart(t,r,n){const{bucket:i,layout:a,translationText:o,translationIcon:s,posMatrix:l,unwrappedTileID:c,textLabelPlaneMatrix:u,labelToScreenMatrix:h,textPixelRatio:f,holdingForFade:p,collisionBoxArray:d,partiallyEvaluatedTextSize:m,collisionGroup:g}=t.parameters,y=a.get(\"text-optional\"),v=a.get(\"icon-optional\"),x=e.as(a,\"text-overlap\",\"text-allow-overlap\"),_=\"always\"===x,b=e.as(a,\"icon-overlap\",\"icon-allow-overlap\"),w=\"always\"===b,T=\"map\"===a.get(\"text-rotation-alignment\"),k=\"map\"===a.get(\"text-pitch-alignment\"),A=\"none\"!==a.get(\"icon-text-fit\"),M=\"viewport-y\"===a.get(\"symbol-z-order\"),S=_&&(w||!i.hasIconData()||v),E=w&&(_||!i.hasTextData()||y);!i.collisionArrays&&d&&i.deserializeCollisionBoxes(d);const C=this.retainedQueryData[i.bucketInstanceId].tileID,L=this._getTerrainElevationFunc(C),I=(t,d,w)=>{var M,C;if(r[t.crossTileID])return;if(p)return void(this.placements[t.crossTileID]=new Vt(!1,!1,!1));let I=!1,P=!1,z=!0,O=null,D={box:null,placeable:!1,offscreen:null},R={box:null,placeable:!1,offscreen:null},F=null,B=null,N=null,j=0,U=0,V=0;d.textFeatureIndex?j=d.textFeatureIndex:t.useRuntimeCollisionCircles&&(j=t.featureIndex),d.verticalTextFeatureIndex&&(U=d.verticalTextFeatureIndex);const q=d.textBox;if(q){const r=r=>{let n=e.ai.horizontal;if(i.allowVerticalPlacement&&!r&&this.prevPlacement){const e=this.prevPlacement.placedOrientations[t.crossTileID];e&&(this.placedOrientations[t.crossTileID]=e,n=e,this.markUsedOrientation(i,n,t))}return n},a=(r,n)=>{if(i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&d.verticalTextBox){for(const t of i.writingModes)if(t===e.ai.vertical?(D=n(),R=D):D=r(),D&&D.placeable)break}else D=r()},u=t.textAnchorOffsetStartIndex,h=t.textAnchorOffsetEndIndex;if(h===u){const n=(e,r)=>{const n=this.collisionIndex.placeCollisionBox(e,x,f,l,c,k,T,o,g.predicate,L);return n&&n.placeable&&(this.markUsedOrientation(i,r,t),this.placedOrientations[t.crossTileID]=r),n};a((()=>n(q,e.ai.horizontal)),(()=>{const r=d.verticalTextBox;return i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&r?n(r,e.ai.vertical):{box:null,offscreen:null}})),r(D&&D.placeable)}else{let p=e.ar[null===(C=null===(M=this.prevPlacement)||void 0===M?void 0:M.variableOffsets[t.crossTileID])||void 0===C?void 0:C.anchor];const m=(r,a,d)=>{const m=r.x2-r.x1,y=r.y2-r.y1,v=t.textBoxScale,_=A&&\"never\"===b?a:null;let w=null,M=\"never\"===x?1:2,S=\"never\";p&&M++;for(let e=0;e<M;e++){for(let e=u;e<h;e++){const n=i.textAnchorOffsets.get(e);if(p&&n.textAnchor!==p)continue;const a=this.attemptAnchorPlacement(n,r,m,y,v,T,k,f,l,c,g,S,t,i,d,o,s,_,L);if(a&&(w=a.placedGlyphBoxes,w&&w.placeable))return I=!0,O=a.shift,w}p?p=null:S=x}return n&&!w&&(w={box:this.collisionIndex.placeCollisionBox(q,\"always\",f,l,c,k,T,o,g.predicate,L,new e.P(0,0)).box,offscreen:!1,placeable:!1}),w};a((()=>m(q,d.iconBox,e.ai.horizontal)),(()=>{const r=d.verticalTextBox,n=D&&D.placeable;return i.allowVerticalPlacement&&!n&&t.numVerticalGlyphVertices>0&&r?m(r,d.verticalIconBox,e.ai.vertical):{box:null,occluded:!0,offscreen:null}})),D&&(I=D.placeable,z=D.offscreen);const y=r(D&&D.placeable);if(!I&&this.prevPlacement){const e=this.prevPlacement.variableOffsets[t.crossTileID];e&&(this.variableOffsets[t.crossTileID]=e,this.markUsedJustification(i,e.anchor,t,y))}}}if(F=D,I=F&&F.placeable,z=F&&F.offscreen,t.useRuntimeCollisionCircles){const r=i.text.placedSymbolArray.get(t.centerJustifiedTextSymbolIndex),s=e.aj(i.textSizeData,m,r),f=a.get(\"text-padding\"),p=t.collisionCircleDiameter;B=this.collisionIndex.placeCollisionCircles(x,r,i.lineVertexArray,i.glyphOffsetArray,s,l,c,u,h,n,k,g.predicate,p,f,o,L),B.circles.length&&B.collisionDetected&&!n&&e.w(\"Collisions detected, but collision boxes are not shown\"),I=_||B.circles.length>0&&!B.collisionDetected,z=z&&B.offscreen}if(d.iconFeatureIndex&&(V=d.iconFeatureIndex),d.iconBox){const t=t=>this.collisionIndex.placeCollisionBox(t,b,f,l,c,k,T,s,g.predicate,L,A&&O?O:void 0);R&&R.placeable&&d.verticalIconBox?(N=t(d.verticalIconBox),P=N.placeable):(N=t(d.iconBox),P=N.placeable),z=z&&N.offscreen}const H=y||0===t.numHorizontalGlyphVertices&&0===t.numVerticalGlyphVertices,G=v||0===t.numIconVertices;H||G?G?H||(P=P&&I):I=P&&I:P=I=P&&I;const Z=I&&F.placeable,W=P&&N.placeable;if(Z&&(R&&R.placeable&&U?this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,U,g.ID):this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID)),W&&this.collisionIndex.insertCollisionBox(N.box,b,a.get(\"icon-ignore-placement\"),i.bucketInstanceId,V,g.ID),B&&I&&this.collisionIndex.insertCollisionCircles(B.circles,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID),n&&this.storeCollisionData(i.bucketInstanceId,w,d,F,N,B),0===t.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(0===i.bucketInstanceId)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[t.crossTileID]=new Vt(I||S,P||E,z||i.justReloaded),r[t.crossTileID]=!0};if(M){if(0!==t.symbolInstanceStart)throw new Error(\"bucket.bucketInstanceId should be 0\");const e=i.getSortedSymbolIndexes(this.transform.angle);for(let t=e.length-1;t>=0;--t){const r=e[t];I(i.symbolInstances.get(r),i.collisionArrays[r],r)}}else for(let e=t.symbolInstanceStart;e<t.symbolInstanceEnd;e++)I(i.symbolInstances.get(e),i.collisionArrays[e],e);if(n&&i.bucketInstanceId in this.collisionCircleArrays){const t=this.collisionCircleArrays[i.bucketInstanceId];e.at(t.invProjMatrix,l),t.viewportMatrix=this.collisionIndex.getViewportMatrix()}i.justReloaded=!1}storeCollisionData(t,e,r,n,i,a){if(r.textBox||r.iconBox){let a,o;this.collisionBoxArrays.has(t)?a=this.collisionBoxArrays.get(t):(a=new Map,this.collisionBoxArrays.set(t,a)),a.has(e)?o=a.get(e):(o={text:null,icon:null},a.set(e,o)),r.textBox&&(o.text=n.box),r.iconBox&&(o.icon=i.box)}if(a){let e=this.collisionCircleArrays[t];void 0===e&&(e=this.collisionCircleArrays[t]=new qt);for(let t=0;t<a.circles.length;t+=4)e.circles.push(a.circles[t+0]),e.circles.push(a.circles[t+1]),e.circles.push(a.circles[t+2]),e.circles.push(a.collisionDetected?1:0)}}markUsedJustification(t,r,n,i){const a={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};let o;o=i===e.ai.vertical?n.verticalPlacedTextSymbolIndex:a[e.au(r)];const s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];for(const e of s)e>=0&&(t.text.placedSymbolArray.get(e).crossTileID=o>=0&&e!==o?0:n.crossTileID)}markUsedOrientation(t,r,n){const i=r===e.ai.horizontal||r===e.ai.horizontalOnly?r:0,a=r===e.ai.vertical?r:0,o=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];for(const e of o)t.text.placedSymbolArray.get(e).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(t.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)}commit(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;const e=this.prevPlacement;let r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;const n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(const t in this.placements){const e=this.placements[t],a=i[t];a?(this.opacities[t]=new Ut(a,n,e.text,e.icon),r=r||e.text!==a.text.placed||e.icon!==a.icon.placed):(this.opacities[t]=new Ut(null,n,e.text,e.icon,e.skipFade),r=r||e.text||e.icon)}for(const t in i){const e=i[t];if(!this.opacities[t]){const i=new Ut(e,n,!1,!1);i.isHidden()||(this.opacities[t]=i,r=r||e.text.placed||e.icon.placed)}}for(const t in a)this.variableOffsets[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.variableOffsets[t]=a[t]);for(const t in o)this.placedOrientations[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.placedOrientations[t]=o[t]);if(e&&void 0===e.lastPlacementChangeTime)throw new Error(\"Last placement time for previous placement is not defined\");r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)}updateLayerOpacities(t,e){const r={};for(const n of e){const e=n.getBucket(t);e&&n.latestFeatureIndex&&t.id===e.layerIds[0]&&this.updateBucketOpacities(e,n.tileID,r,n.collisionBoxArray)}}updateBucketOpacities(t,r,n,i){t.hasTextData()&&(t.text.opacityVertexArray.clear(),t.text.hasVisibleVertices=!1),t.hasIconData()&&(t.icon.opacityVertexArray.clear(),t.icon.hasVisibleVertices=!1),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexArray.clear(),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexArray.clear();const a=t.layers[0],o=a.layout,s=new Ut(null,0,!1,!1,!0),l=o.get(\"text-allow-overlap\"),c=o.get(\"icon-allow-overlap\"),u=a._unevaluatedLayout.hasValue(\"text-variable-anchor\")||a._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),h=\"map\"===o.get(\"text-rotation-alignment\"),f=\"map\"===o.get(\"text-pitch-alignment\"),p=\"none\"!==o.get(\"icon-text-fit\"),d=new Ut(null,0,l&&(c||!t.hasIconData()||o.get(\"icon-optional\")),c&&(l||!t.hasTextData()||o.get(\"text-optional\")),!0);!t.collisionArrays&&i&&(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData())&&t.deserializeCollisionBoxes(i);const m=(t,e,r)=>{for(let n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r);t.hasVisibleVertices=t.hasVisibleVertices||r!==ne},g=this.collisionBoxArrays.get(t.bucketInstanceId);for(let r=0;r<t.symbolInstances.length;r++){const i=t.symbolInstances.get(r),{numHorizontalGlyphVertices:a,numVerticalGlyphVertices:o,crossTileID:l}=i,c=n[l];let y=this.opacities[l];c?y=s:y||(y=d,this.opacities[l]=y),n[l]=!0;const v=a>0||o>0,x=i.numIconVertices>0,_=this.placedOrientations[i.crossTileID],b=_===e.ai.vertical,w=_===e.ai.horizontal||_===e.ai.horizontalOnly;if(v){const e=re(y.text),r=b?ne:e;m(t.text,a,r);const n=w?ne:e;m(t.text,o,n);const s=y.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((e=>{e>=0&&(t.text.placedSymbolArray.get(e).hidden=s||b?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(t.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=s||w?1:0);const l=this.variableOffsets[i.crossTileID];l&&this.markUsedJustification(t,l.anchor,i,_);const c=this.placedOrientations[i.crossTileID];c&&(this.markUsedJustification(t,\"left\",i,c),this.markUsedOrientation(t,c,i))}if(x){const e=re(y.icon),r=!(p&&i.verticalPlacedIconSymbolIndex&&b);if(i.placedIconSymbolIndex>=0){const n=r?e:ne;m(t.icon,i.numIconVertices,n),t.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(i.verticalPlacedIconSymbolIndex>=0){const n=r?ne:e;m(t.icon,i.numVerticalIconVertices,n),t.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}const T=g&&g.has(r)?g.get(r):{text:null,icon:null};if(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData()){const n=t.collisionArrays[r];if(n){let r=new e.P(0,0);if(n.textBox||n.verticalTextBox){let e=!0;if(u){const t=this.variableOffsets[l];t?(r=Zt(t.anchor,t.width,t.height,t.textOffset,t.textBoxScale),h&&r._rotate(f?this.transform.angle:-this.transform.angle)):e=!1}if(n.textBox||n.verticalTextBox){let i;n.textBox&&(i=b),n.verticalTextBox&&(i=w),Yt(t.textCollisionBox.collisionVertexArray,y.text.placed,!e||i,T.text,r.x,r.y)}}if(n.iconBox||n.verticalIconBox){const e=Boolean(!w&&n.verticalIconBox);let i;n.iconBox&&(i=e),n.verticalIconBox&&(i=!e),Yt(t.iconCollisionBox.collisionVertexArray,y.icon.placed,i,T.icon,p?r.x:0,p?r.y:0)}}}}if(t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexBuffer&&t.iconCollisionBox.collisionVertexBuffer.updateData(t.iconCollisionBox.collisionVertexArray),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexBuffer&&t.textCollisionBox.collisionVertexBuffer.updateData(t.textCollisionBox.collisionVertexArray),t.text.opacityVertexArray.length!==t.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${t.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${t.text.layoutVertexArray.length}) / 4`);if(t.icon.opacityVertexArray.length!==t.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${t.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${t.icon.layoutVertexArray.length}) / 4`);if(t.bucketInstanceId in this.collisionCircleArrays){const e=this.collisionCircleArrays[t.bucketInstanceId];t.placementInvProjMatrix=e.invProjMatrix,t.placementViewportMatrix=e.viewportMatrix,t.collisionCircleArray=e.circles,delete this.collisionCircleArrays[t.bucketInstanceId]}}symbolFadeChange(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(t){return Math.max(0,(this.transform.zoom-t)/1.5)}hasTransitions(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(t,e){const r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t}setStale(){this.stale=!0}}function Yt(t,e,r,n,i,a){n&&0!==n.length||(n=[0,0,0,0]);const o=n[0]-Ft,s=n[1]-Ft,l=n[2]-Ft,c=n[3]-Ft;t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,c),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,c)}const Xt=Math.pow(2,25),$t=Math.pow(2,24),Jt=Math.pow(2,17),Kt=Math.pow(2,16),Qt=Math.pow(2,9),te=Math.pow(2,8),ee=Math.pow(2,1);function re(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;const e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Xt+e*$t+r*Jt+e*Kt+r*Qt+e*te+r*ee+e}const ne=0;function ie(){return{isOccluded(t,e,r){return!1},getPitchedTextCorrection(t,e,r){return 1},get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(t,e,r,n){throw new Error(\"Not implemented.\")},translatePosition(t,e,r,n){return function(t,e,r,n,i=!1){if(!r[0]&&!r[1])return[0,0];const a=i?\"map\"===n?t.angle:0:\"viewport\"===n?-t.angle:0;if(a){const t=Math.sin(a),e=Math.cos(a);r=[r[0]*e-r[1]*t,r[0]*t+r[1]*e]}return[i?r[0]:Nt(e,r[0],t.zoom),i?r[1]:Nt(e,r[1],t.zoom)]}(t,e,r,n)},getCircleRadiusCorrection(t){return 1}}}class ae{constructor(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&!t.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(t,e,r,n,i){const a=this._bucketParts;for(;this._currentTileIndex<t.length;){const r=t[this._currentTileIndex];if(e.getBucketParts(a,n,r,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort(((t,e)=>t.sortKey-e.sortKey)));this._currentPartIndex<a.length;){const t=a[this._currentPartIndex];if(e.placeLayerBucketPart(t,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1}}class oe{constructor(t,e,r,n,i,a,o,s){this.placement=new Wt(t,ie(),e,a,o,s),this._currentPlacementIndex=r.length-1,this._forceFullPlacement=n,this._showCollisionBoxes=i,this._done=!1}isDone(){return this._done}continuePlacement(t,e,r){const n=a.now(),i=()=>!this._forceFullPlacement&&a.now()-n>2;for(;this._currentPlacementIndex>=0;){const n=e[t[this._currentPlacementIndex]],a=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===n.type&&(!n.minzoom||n.minzoom<=a)&&(!n.maxzoom||n.maxzoom>a)){if(this._inProgressLayer||(this._inProgressLayer=new ae(n)),this._inProgressLayer.continuePlacement(r[n.source],this.placement,this._showCollisionBoxes,n,i))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(t){return this.placement.commit(t),this.placement}}const se=512/e.X/2;class le{constructor(t,r,n){this.tileID=t,this.bucketInstanceId=n,this._symbolsByKey={};const i=new Map;for(let t=0;t<r.length;t++){const e=r.get(t),n=e.key,a=i.get(n);a?a.push(e):i.set(n,[e])}for(const[t,r]of i){const n={positions:r.map((t=>({x:Math.floor(t.anchorX*se),y:Math.floor(t.anchorY*se)}))),crossTileIDs:r.map((t=>t.crossTileID))};if(n.positions.length>128){const t=new e.aw(n.positions.length,16,Uint16Array);for(const{x:e,y:r}of n.positions)t.add(e,r);t.finish(),delete n.positions,n.index=t}this._symbolsByKey[t]=n}}getScaledCoordinates(t,r){const{x:n,y:i,z:a}=this.tileID.canonical,{x:o,y:s,z:l}=r.canonical,c=l-a,u=se/Math.pow(2,c),h=(o*e.X+t.anchorX)*u,f=(s*e.X+t.anchorY)*u,p=n*e.X*se,d=i*e.X*se;return{x:Math.floor(h-p),y:Math.floor(f-d)}}findMatches(t,e,r){const n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z);for(let i=0;i<t.length;i++){const a=t.get(i);if(a.crossTileID)continue;const o=this._symbolsByKey[a.key];if(!o)continue;const s=this.getScaledCoordinates(a,e);if(o.index){const t=o.index.range(s.x-n,s.y-n,s.x+n,s.y+n).sort();for(const e of t){const t=o.crossTileIDs[e];if(!r[t]){r[t]=!0,a.crossTileID=t;break}}}else if(o.positions)for(let t=0;t<o.positions.length;t++){const e=o.positions[t],i=o.crossTileIDs[t];if(Math.abs(e.x-s.x)<=n&&Math.abs(e.y-s.y)<=n&&!r[i]){r[i]=!0,a.crossTileID=i;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:t})=>t))}}class ce{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class ue{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(t){const e=Math.round((t-this.lng)/360);if(0!==e)for(const t in this.indexes){const r=this.indexes[t],n={};for(const t in r){const i=r[t];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),n[i.tileID.key]=i}this.indexes[t]=n}this.lng=t}addBucket(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(let t=0;t<e.symbolInstances.length;t++)e.symbolInstances.get(t).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});const n=this.usedCrossTileIDs[t.overscaledZ];for(const r in this.indexes){const i=this.indexes[r];if(Number(r)>t.overscaledZ)for(const r in i){const a=i[r];a.tileID.isChildOf(t)&&a.findMatches(e.symbolInstances,t,n)}else{const a=i[t.scaledTo(Number(r)).key];a&&a.findMatches(e.symbolInstances,t,n)}}for(let t=0;t<e.symbolInstances.length;t++){const i=e.symbolInstances.get(t);i.crossTileID||(i.crossTileID=r.generate(),n[i.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new le(t,e.symbolInstances,e.bucketInstanceId),!0}removeBucketCrossTileIDs(t,e){for(const r of e.getCrossTileIDsLists())for(const e of r)delete this.usedCrossTileIDs[t][e]}removeStaleBuckets(t){let e=!1;for(const r in this.indexes){const n=this.indexes[r];for(const i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e}}class he{constructor(){this.layerIndexes={},this.crossTileIDs=new ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(t,e,r){let n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new ue);let i=!1;const a={};n.handleWrapJump(r);for(const r of e){const e=r.getBucket(t);e&&t.id===e.layerIds[0]&&(e.bucketInstanceId||(e.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(r.tileID,e,this.crossTileIDs)&&(i=!0),a[e.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i}pruneUnusedLayers(t){const e={};t.forEach((t=>{e[t]=!0}));for(const t in this.layerIndexes)e[t]||delete this.layerIndexes[t]}}const fe=(t,r)=>e.t(t,r&&r.filter((t=>\"source.canvas\"!==t.identifier))),pe=e.ax();class de extends e.E{constructor(t,r={}){super(),this._rtlPluginLoaded=()=>{for(const t in this.sourceCaches){const e=this.sourceCaches[t].getSource().type;\"vector\"!==e&&\"geojson\"!==e||this.sourceCaches[t].reload()}},this.map=t,this.dispatcher=new q(V(),t._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((t,e)=>this.getGlyphs(t,e))),this.dispatcher.registerMessageHandler(\"GI\",((t,e)=>this.getImages(t,e))),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new E(t._requestManager,r.localIdeographFontFamily),this.lineAtlas=new R(256,512),this.crossTileSymbolIndex=new he,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new e.ay,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",e.az()),ut().on(st,this._rtlPluginLoaded),this.on(\"data\",(t=>{if(\"source\"!==t.dataType||\"metadata\"!==t.sourceDataType)return;const e=this.sourceCaches[t.sourceId];if(!e)return;const r=e.getSource();if(r&&r.vectorLayerIds)for(const t in this._layers){const e=this._layers[t];e.source===r.id&&this._validateLayer(e)}}))}loadURL(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),r.validate=\"boolean\"!=typeof r.validate||r.validate;const i=this.map._requestManager.transformRequest(t,\"Style\");this._loadStyleRequest=new AbortController;const a=this._loadStyleRequest;e.h(i,this._loadStyleRequest).then((t=>{this._loadStyleRequest=null,this._load(t.data,r,n)})).catch((t=>{this._loadStyleRequest=null,t&&!a.signal.aborted&&this.fire(new e.j(t))}))}loadJSON(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,r.validate=!1!==r.validate,this._load(t,r,n)})).catch((()=>{}))}loadEmpty(){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._load(pe,{validate:!1})}_load(t,r,n){var i;const a=r.transformStyle?r.transformStyle(n,t):t;if(!r.validate||!fe(this,e.x(a))){this._loaded=!0,this.stylesheet=a;for(const t in a.sources)this.addSource(t,a.sources[t],{validate:!1});a.sprite?this._loadSprite(a.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(a.glyphs),this._createLayers(),this.light=new P(this.stylesheet.light),this.sky=new D(this.stylesheet.sky),this.map.setTerrain(null!==(i=this.stylesheet.terrain)&&void 0!==i?i:null),this.fire(new e.k(\"data\",{dataType:\"style\"})),this.fire(new e.k(\"style.load\"))}}_createLayers(){const t=e.aA(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",t),this._order=t.map((t=>t.id)),this._layers={},this._serializedLayers=null;for(const r of t){const t=e.aB(r);t.setEventedParent(this,{layer:{id:r.id}}),this._layers[r.id]=t}}_loadSprite(t,r=!1,n=void 0){let i;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,b(t,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((t=>{if(this._spriteRequest=null,t)for(const e in t){this._spritesImagesIds[e]=[];const n=this._spritesImagesIds[e]?this._spritesImagesIds[e].filter((e=>!(e in t))):[];for(const t of n)this.imageManager.removeImage(t),this._changedImages[t]=!0;for(const n in t[e]){const i=\"default\"===e?n:`${e}:${n}`;this._spritesImagesIds[e].push(i),i in this.imageManager.images?this.imageManager.updateImage(i,t[e][n],!1):this.imageManager.addImage(i,t[e][n]),r&&(this._changedImages[i]=!0)}}})).catch((t=>{this._spriteRequest=null,i=t,this.fire(new e.j(i))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),r&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"})),n&&n(i)}))}_unloadSprite(){for(const t of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(t),this._changedImages[t]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}_validateLayer(t){const r=this.sourceCaches[t.source];if(!r)return;const n=t.sourceLayer;if(!n)return;const i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new e.j(new Error(`Source layer \"${n}\" does not exist on source \"${i.id}\" as specified by style layer \"${t.id}\".`)))}loaded(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(const t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(t){const e=this._serializedAllLayers();if(!t||0===t.length)return Object.values(e);const r=[];for(const n of t)e[n]&&r.push(e[n]);return r}_serializedAllLayers(){let t=this._serializedLayers;if(t)return t;t=this._serializedLayers={};const e=Object.keys(this._layers);for(const r of e){const e=this._layers[r];\"custom\"!==e.type&&(t[r]=e.serialize())}return t}hasTransitions(){if(this.light&&this.light.hasTransition())return!0;if(this.sky&&this.sky.hasTransition())return!0;for(const t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(const t in this._layers)if(this._layers[t].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(t){if(!this._loaded)return;const r=this._changed;if(r){const e=Object.keys(this._updatedLayers),r=Object.keys(this._removedLayers);(e.length||r.length)&&this._updateWorkerLayers(e,r);for(const t in this._updatedSources){const e=this._updatedSources[t];if(\"reload\"===e)this._reloadSource(t);else{if(\"clear\"!==e)throw new Error(`Invalid action ${e}`);this._clearSource(t)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(const e in this._updatedPaintProps)this._layers[e].updateTransitions(t);this.light.updateTransitions(t),this.sky.updateTransitions(t),this._resetUpdates()}const n={};for(const t in this.sourceCaches){const e=this.sourceCaches[t];n[t]=e.used,e.used=!1}for(const e of this._order){const r=this._layers[e];r.recalculate(t,this._availableImages),!r.isHidden(t.zoom)&&r.source&&(this.sourceCaches[r.source].used=!0)}for(const t in n){const r=this.sourceCaches[t];!!n[t]!=!!r.used&&r.fire(new e.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:t}))}this.light.recalculate(t),this.sky.recalculate(t),this.z=t.zoom,r&&this.fire(new e.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){const t=Object.keys(this._changedImages);if(t.length){for(const e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(const t in this.sourceCaches)this.sourceCaches[t].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(t,e){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(t),removedIds:e})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(t,r={}){var n;this._checkLoaded();const i=this.serialize();if(t=r.transformStyle?r.transformStyle(i,t):t,(null===(n=r.validate)||void 0===n||n)&&fe(this,e.x(t)))return!1;(t=e.aC(t)).layers=e.aA(t.layers);const a=e.aD(i,t),o=this._getOperationsToPerform(a);if(o.unimplemented.length>0)throw new Error(`Unimplemented: ${o.unimplemented.join(\", \")}.`);if(0===o.operations.length)return!1;for(const t of o.operations)t();return this.stylesheet=t,this._serializedLayers=null,!0}_getOperationsToPerform(t){const e=[],r=[];for(const n of t)switch(n.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":e.push((()=>this.addLayer.apply(this,n.args)));break;case\"removeLayer\":e.push((()=>this.removeLayer.apply(this,n.args)));break;case\"setPaintProperty\":e.push((()=>this.setPaintProperty.apply(this,n.args)));break;case\"setLayoutProperty\":e.push((()=>this.setLayoutProperty.apply(this,n.args)));break;case\"setFilter\":e.push((()=>this.setFilter.apply(this,n.args)));break;case\"addSource\":e.push((()=>this.addSource.apply(this,n.args)));break;case\"removeSource\":e.push((()=>this.removeSource.apply(this,n.args)));break;case\"setLayerZoomRange\":e.push((()=>this.setLayerZoomRange.apply(this,n.args)));break;case\"setLight\":e.push((()=>this.setLight.apply(this,n.args)));break;case\"setGeoJSONSourceData\":e.push((()=>this.setGeoJSONSourceData.apply(this,n.args)));break;case\"setGlyphs\":e.push((()=>this.setGlyphs.apply(this,n.args)));break;case\"setSprite\":e.push((()=>this.setSprite.apply(this,n.args)));break;case\"setSky\":e.push((()=>this.setSky.apply(this,n.args)));break;case\"setTerrain\":e.push((()=>this.map.setTerrain.apply(this,n.args)));break;case\"setTransition\":e.push((()=>{}));break;default:r.push(n.command)}return{operations:e,unimplemented:r}}addImage(t,r){if(this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" already exists.`)));this.imageManager.addImage(t,r),this._afterImageUpdated(t)}updateImage(t,e){this.imageManager.updateImage(t,e)}getImage(t){return this.imageManager.getImage(t)}removeImage(t){if(!this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" does not exist.`)));this.imageManager.removeImage(t),this._afterImageUpdated(t)}_afterImageUpdated(t){this._availableImages=this.imageManager.listImages(),this._changedImages[t]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(t,r,n={}){if(this._checkLoaded(),void 0!==this.sourceCaches[t])throw new Error(`Source \"${t}\" already exists.`);if(!r.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(r).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(e.x.source,`sources.${t}`,r,null,n))return;this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);const i=this.sourceCaches[t]=new dt(t,r,this.dispatcher);i.style=this,i.setEventedParent(this,(()=>({isSourceLoaded:i.loaded(),source:i.serialize(),sourceId:t}))),i.onAdd(this.map),this._changed=!0}removeSource(t){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(\"There is no source with this ID\");for(const r in this._layers)if(this._layers[r].source===t)return this.fire(new e.j(new Error(`Source \"${t}\" cannot be removed while layer \"${r}\" is using it.`)));const r=this.sourceCaches[t];delete this.sourceCaches[t],delete this._updatedSources[t],r.fire(new e.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:t})),r.setEventedParent(null),r.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(t,e){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(`There is no source with this ID=${t}`);const r=this.sourceCaches[t].getSource();if(\"geojson\"!==r.type)throw new Error(`geojsonSource.type is ${r.type}, which is !== 'geojson`);r.setData(e),this._changed=!0}getSource(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()}addLayer(t,r,n={}){this._checkLoaded();const i=t.id;if(this.getLayer(i))return void this.fire(new e.j(new Error(`Layer \"${i}\" already exists on this map.`)));let a;if(\"custom\"===t.type){if(fe(this,e.aE(t)))return;a=e.aB(t)}else{if(\"source\"in t&&\"object\"==typeof t.source&&(this.addSource(i,t.source),t=e.aC(t),t=e.e(t,{source:i})),this._validate(e.x.layer,`layers.${i}`,t,{arrayIndex:-1},n))return;a=e.aB(t),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}})}const o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new e.j(new Error(`Cannot add layer \"${i}\" before non-existing layer \"${r}\".`)));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){const t=this._removedLayers[i];delete this._removedLayers[i],t.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}moveLayer(t,r){if(this._checkLoaded(),this._changed=!0,!this._layers[t])return void this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be moved.`)));if(t===r)return;const n=this._order.indexOf(t);this._order.splice(n,1);const i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new e.j(new Error(`Cannot move layer \"${t}\" before non-existing layer \"${r}\".`))):(this._order.splice(i,0,t),this._layerOrderChanged=!0)}removeLayer(t){this._checkLoaded();const r=this._layers[t];if(!r)return void this.fire(new e.j(new Error(`Cannot remove non-existing layer \"${t}\".`)));r.setEventedParent(null);const n=this._order.indexOf(t);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[t]=r,delete this._layers[t],this._serializedLayers&&delete this._serializedLayers[t],delete this._updatedLayers[t],delete this._updatedPaintProps[t],r.onRemove&&r.onRemove(this.map)}getLayer(t){return this._layers[t]}getLayersOrder(){return[...this._order]}hasLayer(t){return t in this._layers}setLayerZoomRange(t,r,n){this._checkLoaded();const i=this.getLayer(t);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new e.j(new Error(`Cannot set the zoom range of non-existing layer \"${t}\".`)))}setFilter(t,r,n={}){this._checkLoaded();const i=this.getLayer(t);if(i){if(!e.aF(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(e.x.filter,`layers.${i.id}.filter`,r,null,n)||(i.filter=e.aC(r),this._updateLayer(i)))}else this.fire(new e.j(new Error(`Cannot filter non-existing layer \"${t}\".`)))}getFilter(t){return e.aC(this.getLayer(t).filter)}setLayoutProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getLayoutProperty(t,r){const n=this.getLayer(t);if(n)return n.getLayoutProperty(r);this.fire(new e.j(new Error(`Cannot get style of non-existing layer \"${t}\".`)))}setPaintProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[t]=!0,this._serializedLayers=null):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getPaintProperty(t,e){return this.getLayer(t).getPaintProperty(e)}setFeatureState(t,r){this._checkLoaded();const n=t.source,i=t.sourceLayer,a=this.sourceCaches[n];if(void 0===a)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const o=a.getSource().type;\"geojson\"===o&&i?this.fire(new e.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,t.id,r)):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(t,r){this._checkLoaded();const n=t.source,i=this.sourceCaches[n];if(void 0===i)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const a=i.getSource().type,o=\"vector\"===a?t.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof t.id&&\"number\"!=typeof t.id?this.fire(new e.j(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,t.id,r):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(t){this._checkLoaded();const r=t.source,n=t.sourceLayer,i=this.sourceCaches[r];if(void 0!==i)return\"vector\"!==i.getSource().type||n?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,t.id)):void this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new e.j(new Error(`The source '${r}' does not exist in the map's style.`)))}getTransition(){return e.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;const t=e.aG(this.sourceCaches,(t=>t.serialize())),r=this._serializeByIds(this._order),n=this.map.getTerrain()||void 0,i=this.stylesheet;return e.aH({version:i.version,name:i.name,metadata:i.metadata,light:i.light,sky:i.sky,center:i.center,zoom:i.zoom,bearing:i.bearing,pitch:i.pitch,sprite:i.sprite,glyphs:i.glyphs,transition:i.transition,sources:t,layers:r,terrain:n},(t=>void 0!==t))}_updateLayer(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._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(t){const e=t=>\"fill-extrusion\"===this._layers[t].type,r={},n=[];for(let i=this._order.length-1;i>=0;i--){const a=this._order[i];if(e(a)){r[a]=i;for(const e of t){const t=e[a];if(t)for(const e of t)n.push(e)}}}n.sort(((t,e)=>e.intersectionZ-t.intersectionZ));const i=[];for(let a=this._order.length-1;a>=0;a--){const o=this._order[a];if(e(o))for(let t=n.length-1;t>=0;t--){const e=n[t].feature;if(r[e.layer.id]<a)break;i.push(e),n.pop()}else for(const e of t){const t=e[o];if(t)for(const e of t)i.push(e.feature)}}return i}queryRenderedFeatures(t,r,n){r&&r.filter&&this._validate(e.x.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);const i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new e.j(new Error(\"parameters.layers must be an Array.\"))),[];for(const t of r.layers){const r=this._layers[t];if(!r)return this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be queried for features.`))),[];i[r.source]=!0}}const a=[];r.availableImages=this._availableImages;const o=this._serializedAllLayers();for(const e in this.sourceCaches)r.layers&&!i[e]||a.push(Z(this.sourceCaches[e],this._layers,o,t,r,n));return this.placement&&a.push(function(t,e,r,n,i,a,o){const s={},l=a.queryRenderedSymbols(n),c=[];for(const t of Object.keys(l).map(Number))c.push(o[t]);c.sort(W);for(const r of c){const n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(const t in n){const e=s[t]=s[t]||[],i=n[t];i.sort(((t,e)=>{const n=r.featureSortOrder;if(n){const r=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-r}return e.featureIndex-t.featureIndex}));for(const t of i)e.push(t)}}for(const e in s)s[e].forEach((n=>{const i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}));return s}(this._layers,o,this.sourceCaches,t,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(a)}querySourceFeatures(t,r){r&&r.filter&&this._validate(e.x.filter,\"querySourceFeatures.filter\",r.filter,null,r);const n=this.sourceCaches[t];return n?function(t,e){const r=t.getRenderableIds().map((e=>t.getTileByID(e))),n=[],i={};for(let t=0;t<r.length;t++){const a=r[t],o=a.tileID.canonical.key;i[o]||(i[o]=!0,a.querySourceFeatures(n,e))}return n}(n,r):[]}getLight(){return this.light.getLight()}setLight(t,r={}){this._checkLoaded();const n=this.light.getLight();let i=!1;for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(t,r),this.light.updateTransitions(o)}getSky(){var t;return null===(t=this.stylesheet)||void 0===t?void 0:t.sky}setSky(t,r={}){const n=this.sky.getSky();let i=!1;t||n&&(i=!0);for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=t,this.sky.setSky(t,r),this.sky.updateTransitions(o)}_validate(t,r,n,i,a={}){return(!a||!1!==a.validate)&&fe(this,t.call(e.x,e.e({key:r,style:this.serialize(),value:n,styleSpec:e.v},i)))}_remove(t=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),ut().off(st,this._rtlPluginLoaded);for(const t in this._layers)this._layers[t].setEventedParent(null);for(const t in this.sourceCaches){const e=this.sourceCaches[t];e.setEventedParent(null),e.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),t&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(t)}_clearSource(t){this.sourceCaches[t].clearTiles()}_reloadSource(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()}_updateSources(t){for(const e in this.sourceCaches)this.sourceCaches[e].update(t,this.map.terrain)}_generateCollisionBoxes(){for(const t in this.sourceCaches)this._reloadSource(t)}_updatePlacement(t,e,r,n,i=!1){let o=!1,s=!1;const l={};for(const e of this._order){const r=this._layers[e];if(\"symbol\"!==r.type)continue;if(!l[r.source]){const t=this.sourceCaches[r.source];l[r.source]=t.getRenderableIds(!0).map((e=>t.getTileByID(e))).sort(((t,e)=>e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)))}const n=this.crossTileSymbolIndex.addLayer(r,l[r.source],t.center.lng);o=o||n}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===r)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(a.now(),t.zoom))&&(this.pauseablePlacement=new oe(t,this.map.terrain,this._order,i,e,r,n,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(a.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(const t of this._order){const e=this._layers[t];\"symbol\"===e.type&&this.placement.updateLayerOpacities(e,l[e.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(a.now())}_releaseSymbolFadeTiles(){for(const t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()}getImages(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.imageManager.getImages(r.icons);this._updateTilesForChangedImages();const e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,r.icons),t}))}getGlyphs(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.glyphManager.getGlyphs(r.stacks),e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,[\"\"]),t}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(t,r={}){this._checkLoaded(),t&&this._validate(e.x.glyphs,\"glyphs\",t,null,r)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=t,this.glyphManager.entries={},this.glyphManager.setURL(t))}addSprite(t,r,n={},i){this._checkLoaded();const a=[{id:t,url:r}],o=[...x(this.stylesheet.sprite),...a];this._validate(e.x.sprite,\"sprite\",o,null,n)||(this.stylesheet.sprite=o,this._loadSprite(a,!0,i))}removeSprite(t){this._checkLoaded();const r=x(this.stylesheet.sprite);if(r.find((e=>e.id===t))){if(this._spritesImagesIds[t])for(const e of this._spritesImagesIds[t])this.imageManager.removeImage(e),this._changedImages[e]=!0;r.splice(r.findIndex((e=>e.id===t)),1),this.stylesheet.sprite=r.length>0?r:void 0,delete this._spritesImagesIds[t],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}else this.fire(new e.j(new Error(`Sprite \"${t}\" doesn't exists on this map.`)))}getSprite(){return x(this.stylesheet.sprite)}setSprite(t,r={},n){this._checkLoaded(),t&&this._validate(e.x.sprite,\"sprite\",t,null,r)||(this.stylesheet.sprite=t,t?this._loadSprite(t,!0,n):(this._unloadSprite(),n&&n(null)))}}var me=e.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);const ge={prelude:ye(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\n\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\\n#ifdef TERRAIN3D\\nuniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\\n#endif\\nconst highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\\n#ifdef TERRAIN3D\\nhighp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\\n#else\\nreturn 1.0;\\n#endif\\n}float calculate_visibility(vec4 pos) {\\n#ifdef TERRAIN3D\\nvec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\\n#else\\nreturn 1.0;\\n#endif\\n}float ele(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\\n#else\\nreturn 0.0;\\n#endif\\n}float get_elevation(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\\n#else\\nreturn 0.0;\\n#endif\\n}\"),background:ye(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),backgroundPattern:ye(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),circle:ye(\"varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);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=v_visibility*opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;varying float v_visibility;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),clippingMask:ye(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),heatmap:ye(\"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;}\"),heatmapTexture:ye(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),collisionBox:ye(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:ye(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:ye(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:ye(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),fillOutline:ye(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),fillOutlinePattern:ye(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),fillPattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),fillExtrusion:ye(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),fillExtrusionPattern:ye(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),hillshadePrepare:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hillshade:ye(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),line:ye(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_width2=vec2(outset,inset);}\"),lineGradient:ye(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_width2=vec2(outset,inset);}\"),linePattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),lineSDF:ye(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;\\n#endif\\nv_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),raster:ye(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),symbolIcon:ye(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}\"),symbolSDF:ye(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float inner_edge=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),symbolTextAndIcon:ye(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\"),terrain:ye(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:ye(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:ye(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:ye(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function ye(t,e){const r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,((t,e,r,n,i)=>(s[i]=!0,\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:`\\n#ifdef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`))),vertexSource:e=e.replace(r,((t,e,r,n,i)=>{const a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`})),staticAttributes:n,staticUniforms:o}}class ve{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(t,e,r,n,i,a,o,s,l){this.context=t;let c=this.boundPaintVertexBuffers.length!==n.length;for(let t=0;!c&&t<n.length;t++)this.boundPaintVertexBuffers[t]!==n[t]&&(c=!0);!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||c||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s||this.boundDynamicVertexBuffer3!==l?this.freshBind(e,r,n,i,a,o,s,l):(t.bindVertexArray.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind(),l&&l.bind())}freshBind(t,e,r,n,i,a,o,s){const l=t.numAttributes,c=this.context,u=c.gl;this.vao&&this.destroy(),this.vao=c.createVertexArray(),c.bindVertexArray.set(this.vao),this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o,this.boundDynamicVertexBuffer3=s,e.enableAttributes(u,t);for(const e of r)e.enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),s&&s.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(const e of r)e.bind(),e.setVertexAttribPointers(u,t,i);a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),s&&(s.bind(),s.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}const xe=(t,r,n,i,a)=>({u_matrix:t,u_texture:0,u_ele_delta:r,u_fog_matrix:n,u_fog_color:i?i.properties.get(\"fog-color\"):e.aN.white,u_fog_ground_blend:i?i.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:i?i.calculateFogBlendOpacity(a):0,u_horizon_color:i?i.properties.get(\"horizon-color\"):e.aN.white,u_horizon_fog_blend:i?i.properties.get(\"horizon-fog-blend\"):1});function _e(t){const e=[];for(let r=0;r<t.length;r++){if(null===t[r])continue;const n=t[r].split(\" \");e.push(n.pop())}return e}class be{constructor(t,r,n,i,a,o){const s=t.gl;this.program=s.createProgram();const l=_e(r.staticAttributes),c=n?n.getBinderAttributes():[],u=l.concat(c),h=ge.prelude.staticUniforms?_e(ge.prelude.staticUniforms):[],f=r.staticUniforms?_e(r.staticUniforms):[],p=n?n.getBinderUniforms():[],d=h.concat(f).concat(p),m=[];for(const t of d)m.indexOf(t)<0&&m.push(t);const g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\"),o&&g.push(\"#define TERRAIN3D;\");const y=g.concat(ge.prelude.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(ge.prelude.vertexSource,r.vertexSource).join(\"\\n\"),x=s.createShader(s.FRAGMENT_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(x,y),s.compileShader(x),!s.getShaderParameter(x,s.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${s.getShaderInfoLog(x)}`);s.attachShader(this.program,x);const _=s.createShader(s.VERTEX_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(_,v),s.compileShader(_),!s.getShaderParameter(_,s.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${s.getShaderInfoLog(_)}`);s.attachShader(this.program,_),this.attributes={};const b={};this.numAttributes=u.length;for(let t=0;t<this.numAttributes;t++)u[t]&&(s.bindAttribLocation(this.program,t,u[t]),this.attributes[u[t]]=t);if(s.linkProgram(this.program),!s.getProgramParameter(this.program,s.LINK_STATUS))throw new Error(`Program failed to link: ${s.getProgramInfoLog(this.program)}`);s.deleteShader(_),s.deleteShader(x);for(let t=0;t<m.length;t++){const e=m[t];if(e&&!b[e]){const t=s.getUniformLocation(this.program,e);t&&(b[e]=t)}}this.fixedUniforms=i(t,b),this.terrainUniforms=((t,r)=>({u_depth:new e.aI(t,r.u_depth),u_terrain:new e.aI(t,r.u_terrain),u_terrain_dim:new e.aJ(t,r.u_terrain_dim),u_terrain_matrix:new e.aK(t,r.u_terrain_matrix),u_terrain_unpack:new e.aL(t,r.u_terrain_unpack),u_terrain_exaggeration:new e.aJ(t,r.u_terrain_exaggeration)}))(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}draw(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=t.gl;if(this.failedToCreate)return;if(t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),s){t.activeTexture.set(v.TEXTURE2),v.bindTexture(v.TEXTURE_2D,s.depthTexture),t.activeTexture.set(v.TEXTURE3),v.bindTexture(v.TEXTURE_2D,s.texture);for(const t in this.terrainUniforms)this.terrainUniforms[t].set(s[t])}for(const t in this.fixedUniforms)this.fixedUniforms[t].set(o[t]);d&&d.setUniforms(t,this.binderUniforms,f,{zoom:p});let x=0;switch(e){case v.LINES:x=2;break;case v.TRIANGLES:x=3;break;case v.LINE_STRIP:x=1}for(const r of h.get()){const n=r.vaos||(r.vaos={});(n[l]||(n[l]=new ve)).bind(t,this,c,d?d.getPaintVertexBuffers():[],u,r.vertexOffset,m,g,y),v.drawElements(e,r.primitiveLength*x,v.UNSIGNED_SHORT,r.primitiveOffset*x*2)}}}function we(t,e,r){const n=1/Nt(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}const Te=(t,r,n,i)=>{const a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=function(){var t=new e.A(9);return e.A!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t}();\"viewport\"===a.properties.get(\"anchor\")&&function(t,e){var r=Math.sin(e),n=Math.cos(e);t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1}(l,-r.transform.angle),function(t,e,r){var n=e[0],i=e[1],a=e[2];t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8]}(s,s,l);const c=a.properties.get(\"color\");return{u_matrix:t,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},ke=(t,r,n,i,a,o,s)=>e.e(Te(t,r,n,i),we(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8}),Ae=t=>({u_matrix:t}),Me=(t,r,n,i)=>e.e(Ae(t),we(n,r,i)),Se=(t,e)=>({u_matrix:t,u_world:e}),Ee=(t,r,n,i,a)=>e.e(Me(t,r,n,i),{u_world:a}),Ce=(t,e,r,n)=>{const i=t.transform;let a,o;if(\"map\"===n.paint.get(\"circle-pitch-alignment\")){const t=Nt(r,1,i.zoom);a=!0,o=[t,t]}else a=!1,o=i.pixelsToGLUnits;return{u_camera_to_center_distance:i.cameraToCenterDistance,u_scale_with_map:+(\"map\"===n.paint.get(\"circle-pitch-scale\")),u_matrix:t.translatePosMatrix(e.posMatrix,r,n.paint.get(\"circle-translate\"),n.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.pixelRatio,u_extrude_scale:o}},Le=(t,e)=>({u_matrix:e,u_pixel_extrude_scale:[1/t.width,1/t.height]}),Ie=(t,e,r)=>({u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}),Pe=(t,e,r=1)=>({u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}),ze=t=>({u_matrix:t}),Oe=(t,e,r,n)=>({u_matrix:t,u_extrude_scale:Nt(e,1,r),u_intensity:n}),De=(t,r,n,i)=>{const a=e.H();e.aQ(a,0,t.width,t.height,0,0,1);const o=t.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Re=(t,e,r,n)=>{const i=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),o=r.paint.get(\"hillshade-accent-color\");let s=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(s-=t.transform.angle);const l=!t.options.moving;return{u_matrix:n?n.posMatrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),l),u_image:0,u_latrange:Be(0,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Fe=(t,r)=>{const n=r.stride,i=e.H();return e.aQ(i,0,e.X,-e.X,0,0,1),e.J(i,i,[0,-e.X,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:t.overscaledZ,u_unpack:r.getUnpackVector()}};function Be(t,r){const n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new e.Z(0,i/n).toLngLat().lat,new e.Z(0,(i+1)/n).toLngLat().lat]}const Ne=(t,e,r,n)=>{const i=t.transform;return{u_matrix:He(t,e,r,n),u_ratio:1/Nt(e,1,i.zoom),u_device_pixel_ratio:t.pixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},je=(t,r,n,i,a)=>e.e(Ne(t,r,n,a),{u_image:0,u_image_height:i}),Ue=(t,e,r,n,i)=>{const a=t.transform,o=qe(e,a);return{u_matrix:He(t,e,r,i),u_texsize:e.imageAtlasTexture.size,u_ratio:1/Nt(e,1,a.zoom),u_device_pixel_ratio:t.pixelRatio,u_image:0,u_scale:[o,n.fromScale,n.toScale],u_fade:n.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ve=(t,r,n,i,a,o)=>{const s=t.transform,l=t.lineAtlas,c=qe(r,s),u=\"round\"===n.layout.get(\"line-cap\"),h=l.getDash(i.from,u),f=l.getDash(i.to,u),p=h.width*a.fromScale,d=f.width*a.toScale;return e.e(Ne(t,r,n,o),{u_patternscale_a:[c/p,-h.height/2],u_patternscale_b:[c/d,-f.height/2],u_sdfgamma:l.width/(256*Math.min(p,d)*t.pixelRatio)/2,u_image:0,u_tex_y_a:h.y,u_tex_y_b:f.y,u_mix:a.t})};function qe(t,e){return 1/Nt(t,1,e.tileZoom)}function He(t,e,r,n){return t.translatePosMatrix(n?n.posMatrix:e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}const Ge=(t,e,r,n,i)=>{return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Ze(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ze(t){t*=Math.PI/180;const 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]}const We=(t,e,r,n,i,a,o,s,l,c,u,h,f,p)=>{const d=o.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:d.cameraToCenterDistance,u_pitch:d.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:d.width/d.height,u_fade_change:o.options.fadeDuration?o.symbolFadeChange:1,u_matrix:s,u_label_plane_matrix:l,u_coord_matrix:c,u_is_text:+h,u_pitch_with_map:+n,u_is_along_line:i,u_is_variable_anchor:a,u_texsize:f,u_texture:0,u_translation:u,u_pitched_scale:p}},Ye=(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m)=>{const g=s.transform;return e.e(We(t,r,n,i,a,o,s,l,c,u,h,f,p,m),{u_gamma_scale:i?Math.cos(g._pitch)*g.cameraToCenterDistance:1,u_device_pixel_ratio:s.pixelRatio,u_is_halo:+d})},Xe=(t,r,n,i,a,o,s,l,c,u,h,f,p,d)=>e.e(Ye(t,r,n,i,a,o,s,l,c,u,h,!0,f,!0,d),{u_texsize_icon:p,u_texture_icon:1}),$e=(t,e,r)=>({u_matrix:t,u_opacity:e,u_color:r}),Je=(t,r,n,i,a,o)=>e.e(function(t,e,r,n){const i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),{width:o,height:s}=r.imageManager.getPixelSize(),l=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/l,u=c*(n.tileID.canonical.x+n.tileID.wrap*l),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[o,s],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/Nt(n,1,r.transform.tileZoom),u_pixel_coord_upper:[u>>16,h>>16],u_pixel_coord_lower:[65535&u,65535&h]}}(i,o,n,a),{u_matrix:t,u_opacity:r}),Ke={fillExtrusion:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_opacity:new e.aJ(t,r.u_opacity)}),fillExtrusionPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_height_factor:new e.aJ(t,r.u_height_factor),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade),u_opacity:new e.aJ(t,r.u_opacity)}),fill:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),fillPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),fillOutline:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world)}),fillOutlinePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),circle:(t,r)=>({u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_scale_with_map:new e.aI(t,r.u_scale_with_map),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_extrude_scale:new e.aP(t,r.u_extrude_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_matrix:new e.aK(t,r.u_matrix)}),collisionBox:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_pixel_extrude_scale:new e.aP(t,r.u_pixel_extrude_scale)}),collisionCircle:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_inv_matrix:new e.aK(t,r.u_inv_matrix),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_viewport_size:new e.aP(t,r.u_viewport_size)}),debug:(t,r)=>({u_color:new e.aM(t,r.u_color),u_matrix:new e.aK(t,r.u_matrix),u_overlay:new e.aI(t,r.u_overlay),u_overlay_scale:new e.aJ(t,r.u_overlay_scale)}),clippingMask:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),heatmap:(t,r)=>({u_extrude_scale:new e.aJ(t,r.u_extrude_scale),u_intensity:new e.aJ(t,r.u_intensity),u_matrix:new e.aK(t,r.u_matrix)}),heatmapTexture:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_color_ramp:new e.aI(t,r.u_color_ramp),u_opacity:new e.aJ(t,r.u_opacity)}),hillshade:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_latrange:new e.aP(t,r.u_latrange),u_light:new e.aP(t,r.u_light),u_shadow:new e.aM(t,r.u_shadow),u_highlight:new e.aM(t,r.u_highlight),u_accent:new e.aM(t,r.u_accent)}),hillshadePrepare:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_dimension:new e.aP(t,r.u_dimension),u_zoom:new e.aJ(t,r.u_zoom),u_unpack:new e.aL(t,r.u_unpack)}),line:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels)}),lineGradient:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_image:new e.aI(t,r.u_image),u_image_height:new e.aJ(t,r.u_image_height)}),linePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texsize:new e.aP(t,r.u_texsize),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_image:new e.aI(t,r.u_image),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),lineSDF:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_patternscale_a:new e.aP(t,r.u_patternscale_a),u_patternscale_b:new e.aP(t,r.u_patternscale_b),u_sdfgamma:new e.aJ(t,r.u_sdfgamma),u_image:new e.aI(t,r.u_image),u_tex_y_a:new e.aJ(t,r.u_tex_y_a),u_tex_y_b:new e.aJ(t,r.u_tex_y_b),u_mix:new e.aJ(t,r.u_mix)}),raster:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_tl_parent:new e.aP(t,r.u_tl_parent),u_scale_parent:new e.aJ(t,r.u_scale_parent),u_buffer_scale:new e.aJ(t,r.u_buffer_scale),u_fade_t:new e.aJ(t,r.u_fade_t),u_opacity:new e.aJ(t,r.u_opacity),u_image0:new e.aI(t,r.u_image0),u_image1:new e.aI(t,r.u_image1),u_brightness_low:new e.aJ(t,r.u_brightness_low),u_brightness_high:new e.aJ(t,r.u_brightness_high),u_saturation_factor:new e.aJ(t,r.u_saturation_factor),u_contrast_factor:new e.aJ(t,r.u_contrast_factor),u_spin_weights:new e.aO(t,r.u_spin_weights)}),symbolIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolSDF:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolTextAndIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texsize_icon:new e.aP(t,r.u_texsize_icon),u_texture:new e.aI(t,r.u_texture),u_texture_icon:new e.aI(t,r.u_texture_icon),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),background:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_color:new e.aM(t,r.u_color)}),backgroundPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_image:new e.aI(t,r.u_image),u_pattern_tl_a:new e.aP(t,r.u_pattern_tl_a),u_pattern_br_a:new e.aP(t,r.u_pattern_br_a),u_pattern_tl_b:new e.aP(t,r.u_pattern_tl_b),u_pattern_br_b:new e.aP(t,r.u_pattern_br_b),u_texsize:new e.aP(t,r.u_texsize),u_mix:new e.aJ(t,r.u_mix),u_pattern_size_a:new e.aP(t,r.u_pattern_size_a),u_pattern_size_b:new e.aP(t,r.u_pattern_size_b),u_scale_a:new e.aJ(t,r.u_scale_a),u_scale_b:new e.aJ(t,r.u_scale_b),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_tile_units_to_pixels:new e.aJ(t,r.u_tile_units_to_pixels)}),terrain:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_ele_delta:new e.aJ(t,r.u_ele_delta),u_fog_matrix:new e.aK(t,r.u_fog_matrix),u_fog_color:new e.aM(t,r.u_fog_color),u_fog_ground_blend:new e.aJ(t,r.u_fog_ground_blend),u_fog_ground_blend_opacity:new e.aJ(t,r.u_fog_ground_blend_opacity),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon_fog_blend:new e.aJ(t,r.u_horizon_fog_blend)}),terrainDepth:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),terrainCoords:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_terrain_coords_id:new e.aJ(t,r.u_terrain_coords_id),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),sky:(t,r)=>({u_sky_color:new e.aM(t,r.u_sky_color),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon:new e.aJ(t,r.u_horizon),u_sky_horizon_blend:new e.aJ(t,r.u_sky_horizon_blend)})};class Qe{constructor(t,e,r){this.context=t;const 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}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(t){const e=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const tr={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class er{constructor(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;const i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(t){if(t.length!==this.length)throw new Error(`Length of new data is ${t.length}, which doesn't match current length of ${this.length}`);const e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)}enableAttributes(t,e){for(let r=0;r<this.attributes.length;r++){const n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}}setVertexAttribPointers(t,e,r){for(let n=0;n<this.attributes.length;n++){const i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[tr[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const rr=new WeakMap;function nr(t){var e;if(rr.has(t))return rr.get(t);{const r=null===(e=t.getParameter(t.VERSION))||void 0===e?void 0:e.startsWith(\"WebGL 2.0\");return rr.set(t,r),r}}class ir{constructor(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(t){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class ar extends ir{getDefault(){return e.aN.transparent}set(t){const 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)}}class or extends ir{getDefault(){return 1}set(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)}}class sr extends ir{getDefault(){return 0}set(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)}}class lr extends ir{getDefault(){return[!0,!0,!0,!0]}set(t){const 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)}}class cr extends ir{getDefault(){return!0}set(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)}}class ur extends ir{getDefault(){return 255}set(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)}}class hr extends ir{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(t){const 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)}}class fr extends ir{getDefault(){const t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]}set(t){const 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)}}class pr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}}class dr extends ir{getDefault(){return[0,1]}set(t){const 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)}}class mr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}}class gr extends ir{getDefault(){return this.gl.LESS}set(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=!1)}}class yr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=!1}}class vr extends ir{getDefault(){const t=this.gl;return[t.ONE,t.ZERO]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)}}class xr extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class _r extends ir{getDefault(){return this.gl.FUNC_ADD}set(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)}}class br extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}}class wr extends ir{getDefault(){return this.gl.BACK}set(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)}}class Tr extends ir{getDefault(){return this.gl.CCW}set(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)}}class kr extends ir{getDefault(){return null}set(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)}}class Ar extends ir{getDefault(){return this.gl.TEXTURE0}set(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)}}class Mr extends ir{getDefault(){const t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class Sr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}}class Er extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Cr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}}class Lr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Ir extends ir{getDefault(){return null}set(t){const e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Pr extends ir{getDefault(){return null}set(t){var e;if(t===this.current&&!this.dirty)return;const r=this.gl;nr(r)?r.bindVertexArray(t):null===(e=r.getExtension(\"OES_vertex_array_object\"))||void 0===e||e.bindVertexArrayOES(t),this.current=t,this.dirty=!1}}class zr extends ir{getDefault(){return 4}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}}class Or extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}}class Dr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}}class Rr extends ir{constructor(t,e){super(t),this.context=t,this.parent=e}getDefault(){return null}}class Fr extends Rr{setDirty(){this.dirty=!0}set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}}class Br extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Nr extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_STENCIL_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class jr{constructor(t,e,r,n,i){this.context=t,this.width=e,this.height=r;const a=t.gl,o=this.framebuffer=a.createFramebuffer();if(this.colorAttachment=new Fr(t,o),n)this.depthAttachment=i?new Nr(t,o):new Br(t,o);else if(i)throw new Error(\"Stencil cannot be set without depth\");if(a.checkFramebufferStatus(a.FRAMEBUFFER)!==a.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){const t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){const e=this.depthAttachment.get();e&&t.deleteRenderbuffer(e)}t.deleteFramebuffer(this.framebuffer)}}class Ur{constructor(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r}}Ur.Replace=[1,0],Ur.disabled=new Ur(Ur.Replace,e.aN.transparent,[!1,!1,!1,!1]),Ur.unblended=new Ur(Ur.Replace,e.aN.transparent,[!0,!0,!0,!0]),Ur.alphaBlended=new Ur([1,771],e.aN.transparent,[!0,!0,!0,!0]);class Vr{constructor(t){var e,r;if(this.gl=t,this.clearColor=new ar(this),this.clearDepth=new or(this),this.clearStencil=new sr(this),this.colorMask=new lr(this),this.depthMask=new cr(this),this.stencilMask=new ur(this),this.stencilFunc=new hr(this),this.stencilOp=new fr(this),this.stencilTest=new pr(this),this.depthRange=new dr(this),this.depthTest=new mr(this),this.depthFunc=new gr(this),this.blend=new yr(this),this.blendFunc=new vr(this),this.blendColor=new xr(this),this.blendEquation=new _r(this),this.cullFace=new br(this),this.cullFaceSide=new wr(this),this.frontFace=new Tr(this),this.program=new kr(this),this.activeTexture=new Ar(this),this.viewport=new Mr(this),this.bindFramebuffer=new Sr(this),this.bindRenderbuffer=new Er(this),this.bindTexture=new Cr(this),this.bindVertexBuffer=new Lr(this),this.bindElementBuffer=new Ir(this),this.bindVertexArray=new Pr(this),this.pixelStoreUnpack=new zr(this),this.pixelStoreUnpackPremultiplyAlpha=new Or(this),this.pixelStoreUnpackFlipY=new Dr(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.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),nr(t)){this.HALF_FLOAT=t.HALF_FLOAT;const n=t.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=null!==(e=t.RGBA16F)&&void 0!==e?e:null==n?void 0:n.RGBA16F_EXT,this.RGB16F=null!==(r=t.RGB16F)&&void 0!==r?r:null==n?void 0:n.RGB16F_EXT,t.getExtension(\"EXT_color_buffer_float\")}else{t.getExtension(\"EXT_color_buffer_half_float\"),t.getExtension(\"OES_texture_half_float_linear\");const e=t.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=null==e?void 0:e.HALF_FLOAT_OES}}setDefault(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()}setDirty(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(t,e){return new Qe(this,t,e)}createVertexBuffer(t,e,r){return new er(this,t,e,r)}createRenderbuffer(t,e,r){const n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i}createFramebuffer(t,e,r,n){return new jr(this,t,e,r,n)}clear({color:t,depth:e,stencil:r}){const n=this.gl;let i=0;t&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(t),this.colorMask.set([!0,!0,!0,!0])),void 0!==e&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(e),this.depthMask.set(!0)),void 0!==r&&(i|=n.STENCIL_BUFFER_BIT,this.clearStencil.set(r),this.stencilMask.set(255)),n.clear(i)}setCullFace(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))}setDepthMode(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)}setStencilMode(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)}setColorMode(t){e.aF(t.blendFunction,Ur.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(t.blendFunction),this.blendColor.set(t.blendColor)),this.colorMask.set(t.mask)}createVertexArray(){var t;return nr(this.gl)?this.gl.createVertexArray():null===(t=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===t?void 0:t.createVertexArrayOES()}deleteVertexArray(t){var e;return nr(this.gl)?this.gl.deleteVertexArray(t):null===(e=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===e?void 0:e.deleteVertexArrayOES(t)}unbindVAO(){this.bindVertexArray.set(null)}}class qr{constructor(t,e,r){this.func=t,this.mask=e,this.range=r}}qr.ReadOnly=!1,qr.ReadWrite=!0,qr.disabled=new qr(519,qr.ReadOnly,[0,1]);const Hr=7680;class Gr{constructor(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a}}Gr.disabled=new Gr({func:519,mask:0},0,0,Hr,Hr,Hr);class Zr{constructor(t,e,r){this.enable=t,this.mode=e,this.frontFace=r}}let Wr;function Yr(t,r,n,i,a){const o=t.context,s=o.gl,l=t.useProgram(\"collisionBox\"),c=[];let u=0,h=0;for(let f=0;f<i.length;f++){const p=i[f],d=r.getTile(p).getBucket(n);if(!d)continue;const m=a?d.textCollisionBox:d.iconCollisionBox,g=d.collisionCircleArray;if(g.length>0){const r=e.H();e.aR(r,d.placementInvProjMatrix,t.transform.glCoordMatrix),e.aR(r,r,d.placementViewportMatrix),c.push({circleArray:g,circleOffset:h,transform:p.posMatrix,invTransform:r,coord:p}),u+=g.length/4,h=u}m&&l.draw(o,s.LINES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,Le(t.transform,p.posMatrix),t.style.map.terrain&&t.style.map.terrain.getTerrainData(p),n.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,null,t.transform.zoom,null,null,m.collisionVertexBuffer)}if(!a||!c.length)return;const f=t.useProgram(\"collisionCircle\"),p=new e.aS;p.resize(4*u),p._trim();let d=0;for(const t of c)for(let e=0;e<t.circleArray.length/4;e++){const r=4*e,n=t.circleArray[r+0],i=t.circleArray[r+1],a=t.circleArray[r+2],o=t.circleArray[r+3];p.emplace(d++,n,i,a,o,0),p.emplace(d++,n,i,a,o,1),p.emplace(d++,n,i,a,o,2),p.emplace(d++,n,i,a,o,3)}(!Wr||Wr.length<2*u)&&(Wr=function(t){const r=2*t,n=new e.aU;n.resize(r),n._trim();for(let t=0;t<r;t++){const e=6*t;n.uint16[e+0]=4*t+0,n.uint16[e+1]=4*t+1,n.uint16[e+2]=4*t+2,n.uint16[e+3]=4*t+2,n.uint16[e+4]=4*t+3,n.uint16[e+5]=4*t+0}return n}(u));const m=o.createIndexBuffer(Wr,!0),g=o.createVertexBuffer(p,e.aT.members,!0);for(const r of c){const i=Ie(r.transform,r.invTransform,t.transform);f.draw(o,s.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,i,t.style.map.terrain&&t.style.map.terrain.getTerrainData(r.coord),n.id,g,m,e.a0.simpleSegment(0,2*r.circleOffset,r.circleArray.length,r.circleArray.length/2),null,t.transform.zoom,null,null,null)}g.destroy(),m.destroy()}Zr.disabled=new Zr(!1,1029,2305),Zr.backCCW=new Zr(!0,1029,2305);const Xr=e.ao(new Float32Array(16));function $r(t,r,n,i,a){if(\"translucent\"!==t.renderPass)return;const o=Gr.disabled,s=t.colorModeForRenderPass();(n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(t,r,n,i,a,o,s,l,c){const u=r.transform,h=ie(),f=\"map\"===a,p=\"map\"===o;for(const a of t){const t=i.getTile(a),o=t.getBucket(n);if(!o||!o.text||!o.text.segments.get().length)continue;const d=o.textSizeData,m=e.ah(d,u.zoom),g=Nt(t,1,r.transform.zoom),y=_t(a.posMatrix,p,f,r.transform,g),v=\"none\"!==n.layout.get(\"icon-text-fit\")&&o.hasIconData();if(m){const e=Math.pow(2,u.zoom-t.tileID.overscaledZ),n=r.style.map.terrain?(t,e)=>r.style.map.terrain.getElevation(a,t,e):null,i=h.translatePosition(u,t,s,l);Qr(o,f,p,c,u,y,a.posMatrix,e,m,v,h,i,a.toUnwrapped(),n)}}}(i,t,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&en(t,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&en(t,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Yr(t,r,n,i,!0),Yr(t,r,n,i,!1))}function Jr(t,r,n,i,a,o){const{horizontalAlign:s,verticalAlign:l}=e.av(t),c=-(s-.5)*r,u=-(l-.5)*n;return new e.P((c/a+i[0])*o,(u/a+i[1])*o)}function Kr(t,r,n,i,a,o){const s=r.tileAnchorPoint.add(new e.P(r.translation[0],r.translation[1]));if(r.pitchWithMap){let t=i.mult(o);return n||(t=t.rotate(-a)),wt(s.add(t),r.labelPlaneMatrix,r.getElevation).point}if(n){const e=It(r.tileAnchorPoint.x+1,r.tileAnchorPoint.y,r).point.sub(t),n=Math.atan(e.y/e.x)+(e.x<0?Math.PI:0);return t.add(i.rotate(n))}return t.add(i)}function Qr(t,r,n,i,a,o,s,l,c,u,h,f,p,d){const m=t.text.placedSymbolArray,g=t.text.dynamicLayoutVertexArray,y=t.icon.dynamicLayoutVertexArray,v={};g.clear();for(let y=0;y<m.length;y++){const x=m.get(y),_=t.allowVerticalPlacement&&!x.placedOrientation,b=x.hidden||!x.crossTileID||_?null:i[x.crossTileID];if(b){const i=new e.P(x.anchorX,x.anchorY),m={getElevation:d,width:a.width,height:a.height,labelPlaneMatrix:o,lineVertexArray:null,pitchWithMap:n,projection:h,projectionCache:null,tileAnchorPoint:i,translation:f,unwrappedTileID:p},y=n?wt(i,s,d):It(i.x,i.y,m),_=Tt(a.cameraToCenterDistance,y.signedDistanceFromCamera);let w=e.aj(t.textSizeData,c,x)*_/e.aq;n&&(w*=t.tilePixelRatio/l);const{width:T,height:k,anchor:A,textOffset:M,textBoxScale:S}=b,E=Jr(A,T,k,M,S,w),C=h.getPitchedTextCorrection(a,i.add(new e.P(f[0],f[1])),p),L=Kr(y.point,m,r,E,a.angle,C),I=t.allowVerticalPlacement&&x.placedOrientation===e.ai.vertical?Math.PI/2:0;for(let t=0;t<x.numGlyphs;t++)e.ak(g,L,I);u&&x.associatedIconIndex>=0&&(v[x.associatedIconIndex]={shiftedAnchor:L,angle:I})}else Rt(x.numGlyphs,g)}if(u){y.clear();const r=t.icon.placedSymbolArray;for(let t=0;t<r.length;t++){const n=r.get(t);if(n.hidden)Rt(n.numGlyphs,y);else{const r=v[t];if(r)for(let t=0;t<n.numGlyphs;t++)e.ak(y,r.shiftedAnchor,r.angle);else Rt(n.numGlyphs,y)}}t.icon.dynamicLayoutVertexBuffer.updateData(y)}t.text.dynamicLayoutVertexBuffer.updateData(g)}function tn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function en(t,r,n,i,a,o,s,l,c,u,h,f){const p=t.context,d=p.gl,m=t.transform,g=ie(),y=\"map\"===l,v=\"map\"===c,x=\"viewport\"!==l&&\"point\"!==n.layout.get(\"symbol-placement\"),_=y&&!v&&!x,b=!v&&x,w=!n.layout.get(\"symbol-sort-key\").isConstant();let T=!1;const k=t.depthModeForSublayer(0,qr.ReadOnly),A=n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),M=[],S=g.getCircleRadiusCorrection(m);for(const l of i){const i=r.getTile(l),c=i.getBucket(n);if(!c)continue;const h=a?c.text:c.icon;if(!h||!h.segments.get().length||!h.hasVisibleVertices)continue;const f=h.programConfigurations.get(n.id),p=a||c.sdfIcons,k=a?c.textSizeData:c.iconSizeData,E=v||0!==m.pitch,C=t.useProgram(tn(p,a,c),f),L=e.ah(k,m.zoom),I=t.style.map.terrain&&t.style.map.terrain.getTerrainData(l);let P,z,O,D,R=[0,0],F=null;if(a){if(z=i.glyphAtlasTexture,O=d.LINEAR,P=i.glyphAtlasTexture.size,c.iconsInText){R=i.imageAtlasTexture.size,F=i.imageAtlasTexture;const e=\"composite\"===k.kind||\"camera\"===k.kind;D=E||t.options.rotating||t.options.zooming||e?d.LINEAR:d.NEAREST}}else{const e=1!==n.layout.get(\"icon-size\").constantOr(0)||c.iconsNeedLinear;z=i.imageAtlasTexture,O=p||t.options.rotating||t.options.zooming||e||E?d.LINEAR:d.NEAREST,P=i.imageAtlasTexture.size}const B=Nt(i,1,t.transform.zoom),N=b?l.posMatrix:Xr,j=_t(N,v,y,t.transform,B),U=bt(N,v,y,t.transform,B),V=bt(l.posMatrix,v,y,t.transform,B),q=g.translatePosition(t.transform,i,o,s),H=A&&c.hasTextData(),G=\"none\"!==n.layout.get(\"icon-text-fit\")&&H&&c.hasIconData();if(x){const e=t.style.map.terrain?(e,r)=>t.style.map.terrain.getElevation(l,e,r):null,r=\"map\"===n.layout.get(\"text-rotation-alignment\");At(c,l.posMatrix,t,a,j,V,v,u,r,g,l.toUnwrapped(),m.width,m.height,q,e)}const Z=l.posMatrix,W=a&&A||G,Y=x||W?Xr:j,X=U,$=p&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1);let J;J=p?c.iconsInText?Xe(k.kind,L,_,v,x,W,t,Z,Y,X,q,P,R,S):Ye(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,!0,S):We(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,S);const K={program:C,buffers:h,uniformValues:J,atlasTexture:z,atlasTextureIcon:F,atlasInterpolation:O,atlasInterpolationIcon:D,isSDF:p,hasHalo:$};if(w&&c.canOverlap){T=!0;const t=h.segments.get();for(const r of t)M.push({segments:new e.a0([r]),sortKey:r.sortKey,state:K,terrainData:I})}else M.push({segments:h.segments,sortKey:0,state:K,terrainData:I})}T&&M.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of M){const r=e.state;if(p.activeTexture.set(d.TEXTURE0),r.atlasTexture.bind(r.atlasInterpolation,d.CLAMP_TO_EDGE),r.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),r.atlasTextureIcon&&r.atlasTextureIcon.bind(r.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),r.isSDF){const i=r.uniformValues;r.hasHalo&&(i.u_is_halo=1,rn(r.buffers,e.segments,n,t,r.program,k,h,f,i,e.terrainData)),i.u_is_halo=0}rn(r.buffers,e.segments,n,t,r.program,k,h,f,r.uniformValues,e.terrainData)}}function rn(t,e,r,n,i,a,o,s,l,c){const u=n.context,h=u.gl;i.draw(u,h.TRIANGLES,a,o,s,Zr.disabled,l,c,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function nn(t,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===t.renderPass){const a=t.context,o=a.gl,s=Gr.disabled,l=new Ur([o.ONE,o.ONE],e.aN.transparent,[!0,!0,!0,!0]);(function(t,e,r){const n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);let i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{const a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1,!1),function(t,e,r,n){var i,a;const o=t.gl,s=null!==(i=t.HALF_FLOAT)&&void 0!==i?i:o.UNSIGNED_BYTE,l=null!==(a=t.RGBA16F)&&void 0!==a?a:o.RGBA;o.texImage2D(o.TEXTURE_2D,0,l,e.width/4,e.height/4,0,o.RGBA,s,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,t,n),a.clear({color:e.aN.transparent});for(let e=0;e<i.length;e++){const c=i[e];if(r.hasRenderableParent(c))continue;const u=r.getTile(c),h=u.getBucket(n);if(!h)continue;const f=h.programConfigurations.get(n.id),p=t.useProgram(\"heatmap\",f),{zoom:d}=t.transform;p.draw(a,o.TRIANGLES,qr.disabled,s,l,Zr.disabled,Oe(c.posMatrix,u,d,n.paint.get(\"heatmap-intensity\")),null,n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,t.transform.zoom,f)}a.viewport.set([0,0,t.width,t.height])}else\"translucent\"===t.renderPass&&(t.context.setColorMode(t.colorModeForRenderPass()),function(t,e){const r=t.context,n=r.gl,i=e.heatmapFbo;if(!i)return;r.activeTexture.set(n.TEXTURE0),n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),r.activeTexture.set(n.TEXTURE1);let a=e.colorRampTexture;a||(a=e.colorRampTexture=new w(r,e.colorRamp,n.RGBA)),a.bind(n.LINEAR,n.CLAMP_TO_EDGE),t.useProgram(\"heatmapTexture\").draw(r,n.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,De(t,e,0,1),null,e.id,t.viewportBuffer,t.quadTriangleIndexBuffer,t.viewportSegments,e.paint,t.transform.zoom)}(t,n))}function an(t,e,r,n,i){if(!r||!n||!n.imageAtlas)return;const a=n.imageAtlas.patternPositions;let o=a[r.to.toString()],s=a[r.from.toString()];if(!o&&s&&(o=s),!s&&o&&(s=o),!o||!s){const t=i.getPaintProperty(e);o=a[t],s=a[t]}o&&s&&t.setConstantPatternPositions(o,s)}function on(t,e,r,n,i,a,o){const s=t.context.gl,l=\"fill-pattern\",c=r.paint.get(l),u=c&&c.constantOr(1),h=r.getCrossfadeParameters();let f,p,d,m,g;o?(p=u&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",f=s.LINES):(p=u?\"fillPattern\":\"fill\",f=s.TRIANGLES);const y=c.constantOr(null);for(const c of n){const n=e.getTile(c);if(u&&!n.patternsLoaded())continue;const v=n.getBucket(r);if(!v)continue;const x=v.programConfigurations.get(r.id),_=t.useProgram(p,x),b=t.style.map.terrain&&t.style.map.terrain.getTerrainData(c);u&&(t.context.activeTexture.set(s.TEXTURE0),n.imageAtlasTexture.bind(s.LINEAR,s.CLAMP_TO_EDGE),x.updatePaintBuffers(h)),an(x,l,y,n,r);const w=b?c:null,T=w?w.posMatrix:c.posMatrix,k=t.translatePosMatrix(T,n,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){m=v.indexBuffer2,g=v.segments2;const e=[s.drawingBufferWidth,s.drawingBufferHeight];d=\"fillOutlinePattern\"===p&&u?Ee(k,t,h,n,e):Se(k,e)}else m=v.indexBuffer,g=v.segments,d=u?Me(k,t,h,n):Ae(k);_.draw(t.context,f,i,t.stencilModeForClipping(c),a,Zr.disabled,d,b,r.id,v.layoutVertexBuffer,m,g,r.paint,t.transform.zoom,x)}}function sn(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=\"fill-extrusion-pattern\",u=r.paint.get(c),h=u.constantOr(1),f=r.getCrossfadeParameters(),p=r.paint.get(\"fill-extrusion-opacity\"),d=u.constantOr(null);for(const u of n){const n=e.getTile(u),m=n.getBucket(r);if(!m)continue;const g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(u),y=m.programConfigurations.get(r.id),v=t.useProgram(h?\"fillExtrusionPattern\":\"fillExtrusion\",y);h&&(t.context.activeTexture.set(l.TEXTURE0),n.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f)),an(y,c,d,n,r);const x=t.translatePosMatrix(u.posMatrix,n,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),_=r.paint.get(\"fill-extrusion-vertical-gradient\"),b=h?ke(x,t,_,p,u,f,n):Te(x,t,_,p);v.draw(s,s.gl.TRIANGLES,i,a,o,Zr.backCCW,b,g,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y,t.style.map.terrain&&m.centroidVertexBuffer)}}function ln(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=r.fbo;if(!c)return;const u=t.useProgram(\"hillshade\"),h=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());const f=h?e:null;u.draw(s,l.TRIANGLES,i,a,o,Zr.disabled,Re(t,r,n,f),h,n.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}function cn(t,e,r,n,i,a){const o=t.context,s=o.gl,l=e.dem;if(l&&l.data){const c=l.dim,u=l.stride,h=l.getPixels();if(o.activeTexture.set(s.TEXTURE1),o.pixelStoreUnpackPremultiplyAlpha.set(!1),e.demTexture=e.demTexture||t.getTileTexture(u),e.demTexture){const t=e.demTexture;t.update(h,{premultiply:!1}),t.bind(s.NEAREST,s.CLAMP_TO_EDGE)}else e.demTexture=new w(o,h,s.RGBA,{premultiply:!1}),e.demTexture.bind(s.NEAREST,s.CLAMP_TO_EDGE);o.activeTexture.set(s.TEXTURE0);let f=e.fbo;if(!f){const t=new w(o,{width:c,height:c,data:null},s.RGBA);t.bind(s.LINEAR,s.CLAMP_TO_EDGE),f=e.fbo=o.createFramebuffer(c,c,!0,!1),f.colorAttachment.set(t.texture)}o.bindFramebuffer.set(f.framebuffer),o.viewport.set([0,0,c,c]),t.useProgram(\"hillshadePrepare\").draw(o,s.TRIANGLES,n,i,a,Zr.disabled,Fe(e.tileID,l),null,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments),e.needsHillshadePrepare=!1}}function un(t,r,n,i,o,s){const l=i.paint.get(\"raster-fade-duration\");if(!s&&l>0){const i=a.now(),s=(i-t.timeAdded)/l,c=r?(i-r.timeAdded)/l:-1,u=n.getSource(),h=o.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(t.tileID.overscaledZ-h),p=f&&t.refreshedUponExpiration?1:e.ad(f?s:1-c,0,1);return t.refreshedUponExpiration&&s>=1&&(t.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}const hn=new e.aN(1,0,0,1),fn=new e.aN(0,1,0,1),pn=new e.aN(0,0,1,1),dn=new e.aN(1,0,1,1),mn=new e.aN(0,1,1,1);function gn(t){const e=t.transform.padding;yn(t,t.transform.height-(e.top||0),3,hn),yn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,pn),vn(t,t.transform.width-(e.right||0),3,dn);const r=t.transform.centerPoint;!function(t,e,r,n){const i=20,a=2;xn(t,e-a/2,r-i/2,a,i,n),xn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,mn)}function yn(t,e,r,n){xn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){xn(t,e-r/2,0,r,t.transform.height,n)}function xn(t,e,r,n,i,a){const o=t.context,s=o.gl;s.enable(s.SCISSOR_TEST),s.scissor(e*t.pixelRatio,r*t.pixelRatio,n*t.pixelRatio,i*t.pixelRatio),o.clear({color:a}),s.disable(s.SCISSOR_TEST)}function _n(t,r,n){const i=t.context,a=i.gl,o=n.posMatrix,s=t.useProgram(\"debug\"),l=qr.disabled,c=Gr.disabled,u=t.colorModeForRenderPass(),h=\"$debug\",f=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n);i.activeTexture.set(a.TEXTURE0);const p=r.getTileByID(n.key).latestRawTileData,d=p&&p.byteLength||0,m=Math.floor(d/1024),g=r.getTile(n).tileSize,y=512/Math.min(g,512)*(n.overscaledZ/t.transform.zoom)*.5;let v=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(v+=` => ${n.overscaledZ}`),function(t,e){t.initDebugOverlayCanvas();const r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(t,`${v} ${m}kB`),s.draw(i,a.TRIANGLES,l,c,Ur.alphaBlended,Zr.disabled,Pe(o,e.aN.transparent,y),null,h,t.debugBuffer,t.quadTriangleIndexBuffer,t.debugSegments),s.draw(i,a.LINE_STRIP,l,c,u,Zr.disabled,Pe(o,e.aN.red),f,h,t.debugBuffer,t.tileBorderIndexBuffer,t.debugSegments)}function bn(t,e,r){const n=t.context,i=n.gl,a=t.colorModeForRenderPass(),o=new qr(i.LEQUAL,qr.ReadWrite,t.depthRangeFor3D),s=t.useProgram(\"terrain\"),l=e.getTerrainMesh();n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);for(const c of r){const r=t.renderToTexture.getTexture(c),u=e.getTerrainData(c.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,r.texture);const h=t.transform.calculatePosMatrix(c.tileID.toUnwrapped()),f=e.getMeshFrameDelta(t.transform.zoom),p=t.transform.calculateFogMatrix(c.tileID.toUnwrapped()),d=xe(h,f,p,t.style.sky,t.transform.pitch);s.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,d,u,\"terrain\",l.vertexBuffer,l.indexBuffer,l.segments)}}class wn{constructor(t,e,r){this.vertexBuffer=t,this.indexBuffer=e,this.segments=r}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Tn{constructor(t,r){this.context=new Vr(t),this.transform=r,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:e.ao(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new he}resize(t,e,r){if(this.width=Math.floor(t*r),this.height=Math.floor(e*r),this.pixelRatio=r,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(const t of this.style._order)this.style._layers[t].resize()}setup(){const t=this.context,r=new e.aX;r.emplaceBack(0,0),r.emplaceBack(e.X,0),r.emplaceBack(0,e.X),r.emplaceBack(e.X,e.X),this.tileExtentBuffer=t.createVertexBuffer(r,me.members),this.tileExtentSegments=e.a0.simpleSegment(0,0,4,2);const n=new e.aX;n.emplaceBack(0,0),n.emplaceBack(e.X,0),n.emplaceBack(0,e.X),n.emplaceBack(e.X,e.X),this.debugBuffer=t.createVertexBuffer(n,me.members),this.debugSegments=e.a0.simpleSegment(0,0,4,5);const i=new e.$;i.emplaceBack(0,0,0,0),i.emplaceBack(e.X,0,e.X,0),i.emplaceBack(0,e.X,0,e.X),i.emplaceBack(e.X,e.X,e.X,e.X),this.rasterBoundsBuffer=t.createVertexBuffer(i,et.members),this.rasterBoundsSegments=e.a0.simpleSegment(0,0,4,2);const a=new e.aX;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=t.createVertexBuffer(a,me.members),this.viewportSegments=e.a0.simpleSegment(0,0,4,2);const o=new e.aZ;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=t.createIndexBuffer(o);const s=new e.aY;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=t.createIndexBuffer(s);const l=this.context.gl;this.stencilClearMode=new Gr({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)}clearStencil(){const t=this.context,r=t.gl;this.nextStencilID=1,this.currentStencilSource=void 0;const n=e.H();e.aQ(n,0,this.width,this.height,0,0,1),e.K(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(t,r.TRIANGLES,qr.disabled,this.stencilClearMode,Ur.disabled,Zr.disabled,ze(n),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(t,e){if(this.currentStencilSource===t.source||!t.isTileClipped()||!e||!e.length)return;this.currentStencilSource=t.source;const r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ur.disabled),r.setDepthMode(qr.disabled);const i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(const t of e){const e=this._tileClippingMaskIDs[t.key]=this.nextStencilID++,a=this.style.map.terrain&&this.style.map.terrain.getTerrainData(t);i.draw(r,n.TRIANGLES,qr.disabled,new Gr({func:n.ALWAYS,mask:0},e,255,n.KEEP,n.KEEP,n.REPLACE),Ur.disabled,Zr.disabled,ze(t.posMatrix),a,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();const t=this.nextStencilID++,e=this.context.gl;return new Gr({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)}stencilModeForClipping(t){const e=this.context.gl;return new Gr({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)}stencilConfigForOverlap(t){const e=this.context.gl,r=t.sort(((t,e)=>e.overscaledZ-t.overscaledZ)),n=r[r.length-1].overscaledZ,i=r[0].overscaledZ-n+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();const t={};for(let r=0;r<i;r++)t[r+n]=new Gr({func:e.GEQUAL,mask:255},r+this.nextStencilID,255,e.KEEP,e.KEEP,e.REPLACE);return this.nextStencilID+=i,[t,r]}return[{[n]:Gr.disabled},r]}colorModeForRenderPass(){const t=this.context.gl;if(this._showOverdrawInspector){const r=1/8;return new Ur([t.CONSTANT_COLOR,t.ONE],new e.aN(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ur.unblended:Ur.alphaBlended}depthModeForSublayer(t,e,r){if(!this.opaquePassEnabledForLayer())return qr.disabled;const n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new qr(r||this.context.gl.LEQUAL,e,[n,n])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(t,r){var n;this.style=t,this.options=r,this.lineAtlas=t.lineAtlas,this.imageManager=t.imageManager,this.glyphManager=t.glyphManager,this.symbolFadeChange=t.placement.symbolFadeChange(a.now()),this.imageManager.beginFrame();const i=this.style._order,o=this.style.sourceCaches,s={},l={},c={};for(const t in o){const e=o[t];e.used&&e.prepare(this.context),s[t]=e.getVisibleCoordinates(),l[t]=s[t].slice().reverse(),c[t]=e.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let t=0;t<i.length;t++){const e=i[t];if(this.style._layers[e].is3D()){this.opaquePassCutoff=t;break}}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(const t of i){const e=this.style._layers[t];if(!e.hasOffscreenPass()||e.isHidden(this.transform.zoom))continue;const r=l[e.source];(\"custom\"===e.type||r.length)&&this.renderLayer(this,o[e.source],e,r)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?e.aN.black:e.aN.transparent,depth:1}),this.clearStencil(),(null===(n=this.style.stylesheet)||void 0===n?void 0:n.sky)&&function(t,r){const n=t.context,i=n.gl,a=((t,e,r)=>({u_sky_color:t.properties.get(\"sky-color\"),u_horizon_color:t.properties.get(\"horizon-color\"),u_horizon:(e.height/2+e.getHorizon())*r,u_sky_horizon_blend:t.properties.get(\"sky-horizon-blend\")*e.height/2*r}))(r,t.style.map.transform,t.pixelRatio),o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=Gr.disabled,l=t.colorModeForRenderPass(),c=t.useProgram(\"sky\");if(!r.mesh){const t=new e.aX;t.emplaceBack(-1,-1),t.emplaceBack(1,-1),t.emplaceBack(1,1),t.emplaceBack(-1,1);const i=new e.aY;i.emplaceBack(0,1,2),i.emplaceBack(0,2,3),r.mesh=new wn(n.createVertexBuffer(t,me.members),n.createIndexBuffer(i),e.a0.simpleSegment(0,0,t.length,i.length))}c.draw(n,i.TRIANGLES,o,s,l,Zr.disabled,a,void 0,\"sky\",r.mesh.vertexBuffer,r.mesh.indexBuffer,r.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(t._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){const t=this.style._layers[i[this.currentLayer]],e=o[t.source],r=s[t.source];this._renderTileClippingMasks(t,r),this.renderLayer(this,e,t,r)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){const t=this.style._layers[i[this.currentLayer]],e=o[t.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(t))continue;const r=(\"symbol\"===t.type?c:l)[t.source];this._renderTileClippingMasks(t,s[t.source]),this.renderLayer(this,e,t,r)}if(this.options.showTileBoundaries){const t=function(t,e){let r=null;const n=Object.values(t._layers).flatMap((r=>r.source&&!r.isHidden(e)?[t.sourceCaches[r.source]]:[])),i=n.filter((t=>\"vector\"===t.getSource().type)),a=n.filter((t=>\"vector\"!==t.getSource().type)),o=t=>{(!r||r.getSource().maxzoom<t.getSource().maxzoom)&&(r=t)};return i.forEach((t=>o(t))),r||a.forEach((t=>o(t))),r}(this.style,this.transform.zoom);t&&function(t,e,r){for(let n=0;n<r.length;n++)_n(t,e,r[n])}(this,t,t.getVisibleCoordinates())}this.options.showPadding&&gn(this),this.context.setDefault()}maybeDrawDepthAndCoords(t){if(!this.style||!this.style.map||!this.style.map.terrain)return;const r=this.terrainFacilitator.matrix,n=this.transform.modelViewProjectionMatrix;let i=this.terrainFacilitator.dirty;i||(i=t?!e.a_(r,n):!e.a$(r,n)),i||(i=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),i&&(e.b0(r,n),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.sourceCache.getRenderableTiles(),c=t.useProgram(\"terrainDepth\");n.bindFramebuffer.set(r.getFramebuffer(\"depth\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1});for(const e of l){const l=r.getTerrainData(e.tileID),u={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};c.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,u,l,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain),function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.getCoordsTexture(),c=r.sourceCache.getRenderableTiles(),u=t.useProgram(\"terrainCoords\");n.bindFramebuffer.set(r.getFramebuffer(\"coords\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1}),r.coordsIndex=[];for(const e of c){const c=r.getTerrainData(e.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,l.texture);const h={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_terrain_coords_id:(255-r.coordsIndex.length)/255,u_texture:0,u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};u.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,h,c,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments),r.coordsIndex.push(e.tileID.key)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain))}renderLayer(t,r,n,i){if(!n.isHidden(this.transform.zoom)&&(\"background\"===n.type||\"custom\"===n.type||(i||[]).length))switch(this.id=n.id,n.type){case\"symbol\":$r(t,r,n,i,this.style.placement.variableOffsets);break;case\"circle\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=!n.layout.get(\"circle-sort-key\").isConstant();if(0===a.constantOr(1)&&(0===o.constantOr(1)||0===s.constantOr(1)))return;const c=t.context,u=c.gl,h=t.depthModeForSublayer(0,qr.ReadOnly),f=Gr.disabled,p=t.colorModeForRenderPass(),d=[];for(let a=0;a<i.length;a++){const o=i[a],s=r.getTile(o),c=s.getBucket(n);if(!c)continue;const u=c.programConfigurations.get(n.id),h=t.useProgram(\"circle\",u),f=c.layoutVertexBuffer,p=c.indexBuffer,m=t.style.map.terrain&&t.style.map.terrain.getTerrainData(o),g={programConfiguration:u,program:h,layoutVertexBuffer:f,indexBuffer:p,uniformValues:Ce(t,o,s,n),terrainData:m};if(l){const t=c.segments.get();for(const r of t)d.push({segments:new e.a0([r]),sortKey:r.sortKey,state:g})}else d.push({segments:c.segments,sortKey:0,state:g})}l&&d.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of d){const{programConfiguration:r,program:i,layoutVertexBuffer:a,indexBuffer:o,uniformValues:s,terrainData:l}=e.state,d=e.segments;i.draw(c,u.TRIANGLES,h,f,p,Zr.disabled,s,l,n.id,a,o,d,n.paint,t.transform.zoom,r)}}(t,r,n,i);break;case\"heatmap\":nn(t,r,n,i);break;case\"line\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0===a.constantOr(1)||0===o.constantOr(1))return;const s=t.depthModeForSublayer(0,qr.ReadOnly),l=t.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\",m=t.context,g=m.gl;let y=!0;for(const a of i){const i=r.getTile(a);if(h&&!i.patternsLoaded())continue;const o=i.getBucket(n);if(!o)continue;const v=o.programConfigurations.get(n.id),x=t.context.program.get(),_=t.useProgram(d,v),b=y||_.program!==x,T=t.style.map.terrain&&t.style.map.terrain.getTerrainData(a),k=u.constantOr(null);if(k&&i.imageAtlas){const t=i.imageAtlas,e=t.patternPositions[k.to.toString()],r=t.patternPositions[k.from.toString()];e&&r&&v.setConstantPatternPositions(e,r)}const A=T?a:null,M=h?Ue(t,i,n,p,A):c?Ve(t,i,n,c,p,A):f?je(t,i,n,o.lineClipsArray.length,A):Ne(t,i,n,A);if(h)m.activeTexture.set(g.TEXTURE0),i.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),v.updatePaintBuffers(p);else if(c&&(b||t.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),t.lineAtlas.bind(m);else if(f){const i=o.gradients[n.id];let s=i.texture;if(n.gradientVersion!==i.version){let l=256;if(n.stepInterpolant){const n=r.getSource().maxzoom,i=a.canonical.z===n?Math.ceil(1<<t.transform.maxZoom-a.canonical.z):1,s=o.maxLineLength/e.X*1024*i;l=e.ad(e.aV(s),256,m.maxTextureSize)}i.gradient=e.aW({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:l,image:i.gradient||void 0,clips:o.lineClipsArray}),i.texture?i.texture.update(i.gradient):i.texture=new w(m,i.gradient,g.RGBA),i.version=n.gradientVersion,s=i.texture}m.activeTexture.set(g.TEXTURE0),s.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}_.draw(m,g.TRIANGLES,s,t.stencilModeForClipping(a),l,Zr.disabled,M,T,n.id,o.layoutVertexBuffer,o.indexBuffer,o.segments,n.paint,t.transform.zoom,v,o.layoutVertexBuffer2),y=!1}}(t,r,n,i);break;case\"fill\":!function(t,r,n,i){const a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0===o.constantOr(1))return;const s=t.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=t.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(e.aN.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(t.renderPass===c){const e=t.depthModeForSublayer(1,\"opaque\"===t.renderPass?qr.ReadWrite:qr.ReadOnly);on(t,r,n,i,e,s,!1)}if(\"translucent\"===t.renderPass&&n.paint.get(\"fill-antialias\")){const e=t.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,qr.ReadOnly);on(t,r,n,i,e,s,!0)}}(t,r,n,i);break;case\"fill-extrusion\":!function(t,e,r,n){const i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){const a=new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))sn(t,e,r,n,a,Gr.disabled,Ur.disabled),sn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{const i=t.colorModeForRenderPass();sn(t,e,r,n,a,Gr.disabled,i)}}}(t,r,n,i);break;case\"hillshade\":!function(t,e,r,n){if(\"offscreen\"!==t.renderPass&&\"translucent\"!==t.renderPass)return;const i=t.context,a=t.depthModeForSublayer(0,qr.ReadOnly),o=t.colorModeForRenderPass(),[s,l]=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n];for(const n of l){const i=e.getTile(n);void 0!==i.needsHillshadePrepare&&i.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,i,r,a,Gr.disabled,o):\"translucent\"===t.renderPass&&ln(t,n,i,r,a,s[n.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}(t,r,n,i);break;case\"raster\":!function(t,e,r,n){if(\"translucent\"!==t.renderPass)return;if(0===r.paint.get(\"raster-opacity\"))return;if(!n.length)return;const i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),[c,u]=o instanceof rt?[{},n]:t.stencilConfigForOverlap(n),h=u[u.length-1].overscaledZ,f=!t.options.moving;for(const n of u){const u=t.depthModeForSublayer(n.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?qr.ReadWrite:qr.ReadOnly,a.LESS),p=e.getTile(n);p.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));const d=e.findLoadedParent(n,0),m=e.findLoadedSibling(n),g=un(p,d||m||null,e,r,t.transform,t.style.map.terrain);let y,v;const x=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),d?(d.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),y=Math.pow(2,d.tileID.overscaledZ-p.tileID.overscaledZ),v=[p.tileID.canonical.x*y%1,p.tileID.canonical.y*y%1]):p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),p.texture.useMipmap&&i.extTextureFilterAnisotropic&&t.transform.pitch>20&&a.texParameterf(a.TEXTURE_2D,i.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,i.extTextureFilterAnisotropicMax);const _=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n),b=_?n:null,w=b?b.posMatrix:t.transform.calculatePosMatrix(n.toUnwrapped(),f),T=Ge(w,v||[0,0],y||1,g,r);o instanceof rt?s.draw(i,a.TRIANGLES,u,Gr.disabled,l,Zr.disabled,T,_,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,u,c[n.overscaledZ],l,Zr.disabled,T,_,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}(t,r,n,i);break;case\"background\":!function(t,e,r,n){const i=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0===a)return;const o=t.context,s=o.gl,l=t.transform,c=l.tileSize,u=r.paint.get(\"background-pattern\");if(t.isPatternMissing(u))return;const h=!u&&1===i.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass!==h)return;const f=Gr.disabled,p=t.depthModeForSublayer(0,\"opaque\"===h?qr.ReadWrite:qr.ReadOnly),d=t.colorModeForRenderPass(),m=t.useProgram(u?\"backgroundPattern\":\"background\"),g=n||l.coveringTiles({tileSize:c,terrain:t.style.map.terrain});u&&(o.activeTexture.set(s.TEXTURE0),t.imageManager.bind(t.context));const y=r.getCrossfadeParameters();for(const e of g){const l=n?e.posMatrix:t.transform.calculatePosMatrix(e.toUnwrapped()),h=u?Je(l,a,t,u,{tileID:e,tileSize:c},y):$e(l,a,i),g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);m.draw(o,s.TRIANGLES,p,f,d,Zr.disabled,h,g,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}(t,0,n,i);break;case\"custom\":!function(t,e,r){const n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){const e=i.prerender;e&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),e.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Gr.disabled);const e=\"3d\"===i.renderingMode?new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,qr.ReadOnly);n.setDepthMode(e),i.render(n.gl,t.transform.customLayerMatrix(),{farZ:t.transform.farZ,nearZ:t.transform.nearZ,fov:t.transform._fov,modelViewProjectionMatrix:t.transform.modelViewProjectionMatrix,projectionMatrix:t.transform.projectionMatrix}),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}(t,0,n)}}translatePosMatrix(t,r,n,i,a){if(!n[0]&&!n[1])return t;const o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){const t=Math.sin(o),e=Math.cos(o);n=[n[0]*e-n[1]*t,n[0]*t+n[1]*e]}const s=[a?n[0]:Nt(r,n[0],this.transform.zoom),a?n[1]:Nt(r,n[1],this.transform.zoom),0],l=new Float32Array(16);return e.J(l,t,s),l}saveTileTexture(t){const e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]}getTileTexture(t){const e=this._tileTextures[t];return e&&e.length>0?e.pop():null}isPatternMissing(t){if(!t)return!1;if(!t.from||!t.to)return!0;const e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r}useProgram(t,e){this.cache=this.cache||{};const r=t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[r]||(this.cache[r]=new be(this.context,ge[t],e,Ke[t],this._showOverdrawInspector,this.style.map.terrain)),this.cache[r]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){const 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)}initDebugOverlayCanvas(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;const t=this.context.gl;this.debugOverlayTexture=new w(this.context,this.debugOverlayCanvas,t.RGBA)}}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){const{drawingBufferWidth:t,drawingBufferHeight:e}=this.context.gl;return this.width!==t||this.height!==e}}class kn{constructor(t,e){this.points=t,this.planes=e}static fromInvProjectionMatrix(t,r,n){const i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((n=>{const a=1/(n=e.ag([],n,t))[3]/r*i;return e.b1(n,n,[a,a,1/n[3],a])})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((t=>{const e=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t}([],function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}([],y([],a[t[0]],a[t[1]]),y([],a[t[2]],a[t[1]]))),r=(n=e,i=a[t[1]],-(n[0]*i[0]+n[1]*i[1]+n[2]*i[2]));var n,i;return e.concat(r)}));return new kn(a,o)}}class An{constructor(t,e){this.min=t,this.max=e,this.center=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}([],function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}([],this.min,this.max),.5)}quadrant(t){const e=[t%2==0,t<2],r=m(this.min),n=m(this.max);for(let t=0;t<e.length;t++)r[t]=e[t]?this.min[t]:this.center[t],n[t]=e[t]?this.center[t]:this.max[t];return n[2]=this.max[2],new An(r,n)}distanceX(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]}distanceY(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]}intersects(t){const r=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]];let n=!0;for(let i=0;i<t.planes.length;i++){const a=t.planes[i];let o=0;for(let t=0;t<r.length;t++)e.b2(a,r[t])>=0&&o++;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(let e=0;e<3;e++){let r=Number.MAX_VALUE,n=-Number.MAX_VALUE;for(let i=0;i<t.points.length;i++){const a=t.points[i][e]-this.min[e];r=Math.min(r,a),n=Math.max(n,a)}if(n<0||r>this.max[e]-this.min[e])return 0}return 1}}class Mn{constructor(t=0,e=0,r=0,n=0){if(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}interpolate(t,r,n){return null!=r.top&&null!=t.top&&(this.top=e.z.number(t.top,r.top,n)),null!=r.bottom&&null!=t.bottom&&(this.bottom=e.z.number(t.bottom,r.bottom,n)),null!=r.left&&null!=t.left&&(this.left=e.z.number(t.left,r.left,n)),null!=r.right&&null!=t.right&&(this.right=e.z.number(t.right,r.right,n)),this}getCenter(t,r){const n=e.ad((this.left+t-this.right)/2,0,t),i=e.ad((this.top+r-this.bottom)/2,0,r);return new e.P(n,i)}equals(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right}clone(){return new Mn(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}const Sn=85.051129;class En{constructor(t,r,n,i,a){this.tileSize=512,this._renderWorldCopies=void 0===a||!!a,this._minZoom=t||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new e.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){const t=new En(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.apply(this),t}apply(t){this.tileSize=t.tileSize,this.latRange=t.latRange,this.width=t.width,this.height=t.height,this._center=t._center,this._elevation=t._elevation,this.minElevationForCurrentTile=t.minElevationForCurrentTile,this.zoom=t.zoom,this.angle=t.angle,this._fov=t._fov,this._pitch=t._pitch,this._unmodified=t._unmodified,this._edgeInsets=t._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))}get maxZoom(){return this._maxZoom}set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))}get minPitch(){return this._minPitch}set minPitch(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))}get maxPitch(){return this._maxPitch}set maxPitch(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new e.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(t){const r=-e.b3(t,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=function(){var t=new e.A(4);return e.A!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t}(),function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(t){const r=e.ad(t,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(t){const e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.tileZoom=Math.max(0,Math.floor(e)),this.scale=this.zoomScale(e),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(t){t!==this._elevation&&(this._elevation=t,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(t){return this._edgeInsets.equals(t)}interpolatePadding(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()}coveringZoomLevel(t){const e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)}getVisibleUnwrappedCoordinates(t){const r=[new e.b4(0,t)];if(this._renderWorldCopies){const n=this.pointCoordinate(new e.P(0,0)),i=this.pointCoordinate(new e.P(this.width,0)),a=this.pointCoordinate(new e.P(this.width,this.height)),o=this.pointCoordinate(new e.P(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=1;for(let n=s-c;n<=l+c;n++)0!==n&&r.push(new e.b4(n,t))}return r}coveringTiles(t){var r,n;let i=this.coveringZoomLevel(t);const a=i;if(void 0!==t.minzoom&&i<t.minzoom)return[];void 0!==t.maxzoom&&i>t.maxzoom&&(i=t.maxzoom);const o=this.pointCoordinate(this.getCameraPoint()),s=e.Z.fromLngLat(this.center),l=Math.pow(2,i),c=[l*o.x,l*o.y,0],u=[l*s.x,l*s.y,0],h=kn.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,i);let f=t.minzoom||0;!t.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(f=i);const p=t.terrain?2/Math.min(this.tileSize,t.tileSize)*this.tileSize:3,d=t=>({aabb:new An([t*l,0,0],[(t+1)*l,l,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}),m=[],g=[],y=i,x=t.reparseOverscaled?a:i;if(this._renderWorldCopies)for(let t=1;t<=3;t++)m.push(d(-t)),m.push(d(t));for(m.push(d(0));m.length>0;){const i=m.pop(),a=i.x,o=i.y;let s=i.fullyVisible;if(!s){const t=i.aabb.intersects(h);if(0===t)continue;s=2===t}const l=t.terrain?c:u,d=i.aabb.distanceX(l),_=i.aabb.distanceY(l),b=Math.max(Math.abs(d),Math.abs(_)),w=p+(1<<y-i.zoom)-2;if(i.zoom===y||b>w&&i.zoom>=f){const t=y-i.zoom,r=c[0]-.5-(a<<t),n=c[1]-.5-(o<<t);g.push({tileID:new e.S(i.zoom===y?x:i.zoom,i.wrap,i.zoom,a,o),distanceSq:v([u[0]-.5-a,u[1]-.5-o]),tileDistanceToCamera:Math.sqrt(r*r+n*n)})}else for(let l=0;l<4;l++){const c=(a<<1)+l%2,u=(o<<1)+(l>>1),h=i.zoom+1;let f=i.aabb.quadrant(l);if(t.terrain){const a=new e.S(h,i.wrap,h,c,u),o=t.terrain.getMinMaxElevation(a),s=null!==(r=o.minElevation)&&void 0!==r?r:this.elevation,l=null!==(n=o.maxElevation)&&void 0!==n?n:this.elevation;f=new An([f.min[0],f.min[1],s],[f.max[0],f.max[1],l])}m.push({aabb:f,zoom:h,x:c,y:u,wrap:i.wrap,fullyVisible:s})}}return g.sort(((t,e)=>t.distanceSq-e.distanceSq)).map((t=>t.tileID))}resize(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(t){return Math.pow(2,t)}scaleZoom(t){return Math.log(t)/Math.LN2}project(t){const r=e.ad(t.lat,-85.051129,Sn);return new e.P(e.O(t.lng)*this.worldSize,e.Q(r)*this.worldSize)}unproject(t){return new e.Z(t.x/this.worldSize,t.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(t){const r=this.elevation,n=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,i=this.pointLocation(this.centerPoint,t),a=t.getElevationForLngLatZoom(i,this.tileZoom);if(!(this.elevation-a))return;const o=n+r-a,s=Math.cos(this._pitch)*this.cameraToCenterDistance/o/e.b5(1,i.lat)/this.tileSize,l=this.scaleZoom(s);this._elevation=a,this._center=i,this.zoom=l}setLocationAtPoint(t,r){const n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(t),o=new e.Z(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(t,e){return e?this.coordinatePoint(this.locationCoordinate(t),e.getElevationForLngLatZoom(t,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(t))}pointLocation(t,e){return this.coordinateLocation(this.pointCoordinate(t,e))}locationCoordinate(t){return e.Z.fromLngLat(t)}coordinateLocation(t){return t&&t.toLngLat()}pointCoordinate(t,r){if(r){const e=r.pointCoordinate(t);if(null!=e)return e}const n=[t.x,t.y,0,1],i=[t.x,t.y,1,1];e.ag(n,n,this.pixelMatrixInverse),e.ag(i,i,this.pixelMatrixInverse);const a=n[3],o=i[3],s=n[0]/a,l=i[0]/o,c=n[1]/a,u=i[1]/o,h=n[2]/a,f=i[2]/o,p=h===f?0:(0-h)/(f-h);return new e.Z(e.z.number(s,l,p)/this.worldSize,e.z.number(c,u,p)/this.worldSize)}coordinatePoint(t,r=0,n=this.pixelMatrix){const i=[t.x*this.worldSize,t.y*this.worldSize,r,1];return e.ag(i,i,n),new e.P(i[0]/i[3],i[1]/i[3])}getBounds(){const t=Math.max(0,this.height/2-this.getHorizon());return(new X).extend(this.pointLocation(new e.P(0,t))).extend(this.pointLocation(new e.P(this.width,t))).extend(this.pointLocation(new e.P(this.width,this.height))).extend(this.pointLocation(new e.P(0,this.height)))}getMaxBounds(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new X([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,Sn])}calculateTileMatrix(t){const r=t.canonical,n=this.worldSize/this.zoomScale(r.z),i=r.x+Math.pow(2,r.z)*t.wrap,a=e.ao(new Float64Array(16));return e.J(a,a,[i*n,r.y*n,0]),e.K(a,a,[n/e.X,n/e.X,1]),a}calculatePosMatrix(t,r=!1){const n=t.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];const a=this.calculateTileMatrix(t);return e.L(a,r?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,a),i[n]=new Float32Array(a),i[n]}calculateFogMatrix(t){const r=t.key,n=this._fogMatrixCache;if(n[r])return n[r];const i=this.calculateTileMatrix(t);return e.L(i,this.fogMatrix,i),n[r]=new Float32Array(i),n[r]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(t,r){r=e.ad(+r,this.minZoom,this.maxZoom);const n={center:new e.N(t.lng,t.lat),zoom:r};let i=this.lngRange;if(!this._renderWorldCopies&&null===i){const t=180-1e-10;i=[-t,t]}const a=this.tileSize*this.zoomScale(n.zoom);let o=0,s=a,l=0,c=a,u=0,h=0;const{x:f,y:p}=this.size;if(this.latRange){const t=this.latRange;o=e.Q(t[1])*a,s=e.Q(t[0])*a,s-o<p&&(u=p/(s-o))}i&&(l=e.b3(e.O(i[0])*a,0,a),c=e.b3(e.O(i[1])*a,0,a),c<l&&(c+=a),c-l<f&&(h=f/(c-l)));const{x:d,y:m}=this.project.call({worldSize:a},t);let g,y;const v=Math.max(h||0,u||0);if(v){const t=new e.P(h?(c+l)/2:d,u?(s+o)/2:m);return n.center=this.unproject.call({worldSize:a},t).wrap(),n.zoom+=this.scaleZoom(v),n}if(this.latRange){const t=p/2;m-t<o&&(y=o+t),m+t>s&&(y=s-t)}if(i){const t=(l+c)/2;let r=d;this._renderWorldCopies&&(r=e.b3(d,t-a/2,t+a/2));const n=f/2;r-n<l&&(g=l+n),r+n>c&&(g=c-n)}if(void 0!==g||void 0!==y){const t=new e.P(null!=g?g:d,null!=y?y:m);n.center=this.unproject.call({worldSize:a},t).wrap()}return n}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;const t=this._unmodified,{center:e,zoom:r}=this.getConstrained(this.center,this.zoom);this.center=e,this.zoom=r,this._unmodified=t,this._constraining=!1}_calcMatrices(){if(!this.height)return;const t=this._fov/2,r=this.centerOffset,n=this.point.x,i=this.point.y;this.cameraToCenterDistance=.5/Math.tan(t)*this.height,this._pixelPerMeter=e.b5(1,this.center.lat)*this.worldSize;let a=e.ao(new Float64Array(16));e.K(a,a,[this.width/2,-this.height/2,1]),e.J(a,a,[1,-1,0]),this.labelPlaneMatrix=a,a=e.ao(new Float64Array(16)),e.K(a,a,[1,-1,1]),e.J(a,a,[-1,-1,0]),e.K(a,a,[2/this.width,2/this.height,1]),this.glCoordMatrix=a;const o=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),s=Math.min(this.elevation,this.minElevationForCurrentTile),l=o-s*this._pixelPerMeter/Math.cos(this._pitch),c=s<0?l:o,u=Math.PI/2+this._pitch,h=this._fov*(.5+r.y/this.height),f=Math.sin(h)*c/Math.sin(e.ad(Math.PI-u-h,.01,Math.PI-.01)),p=this.getHorizon(),d=2*Math.atan(p/this.cameraToCenterDistance)*(.5+r.y/(2*p)),m=Math.sin(d)*c/Math.sin(e.ad(Math.PI-u-d,.01,Math.PI-.01)),g=Math.min(f,m);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*g+c),this.nearZ=this.height/50,a=new Float64Array(16),e.b6(a,this._fov,this.width/this.height,this.nearZ,this.farZ),a[8]=2*-r.x/this.width,a[9]=2*r.y/this.height,this.projectionMatrix=e.af(a),e.K(a,a,[1,-1,1]),e.J(a,a,[0,0,-this.cameraToCenterDistance]),e.b7(a,a,this._pitch),e.ae(a,a,this.angle),e.J(a,a,[-n,-i,0]),this.mercatorMatrix=e.K([],a,[this.worldSize,this.worldSize,this.worldSize]),e.K(a,a,[1,1,this._pixelPerMeter]),this.pixelMatrix=e.L(new Float64Array(16),this.labelPlaneMatrix,a),e.J(a,a,[0,0,-this.elevation]),this.modelViewProjectionMatrix=a,this.invModelViewProjectionMatrix=e.at([],a),this.fogMatrix=new Float64Array(16),e.b6(this.fogMatrix,this._fov,this.width/this.height,o,this.farZ),this.fogMatrix[8]=2*-r.x/this.width,this.fogMatrix[9]=2*r.y/this.height,e.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),e.b7(this.fogMatrix,this.fogMatrix,this._pitch),e.ae(this.fogMatrix,this.fogMatrix,this.angle),e.J(this.fogMatrix,this.fogMatrix,[-n,-i,0]),e.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=e.L(new Float64Array(16),this.labelPlaneMatrix,a);const y=this.width%2/2,v=this.height%2/2,x=Math.cos(this.angle),_=Math.sin(this.angle),b=n-Math.round(n)+x*y+_*v,w=i-Math.round(i)+x*v+_*y,T=new Float64Array(a);if(e.J(T,T,[b>.5?b-1:b,w>.5?w-1:w,0]),this.alignedModelViewProjectionMatrix=T,a=e.at(new Float64Array(16),this.pixelMatrix),!a)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=a,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;const t=this.pointCoordinate(new e.P(0,0)),r=[t.x*this.worldSize,t.y*this.worldSize,0,1];return e.ag(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){const t=this._pitch,r=Math.tan(t)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new e.P(0,r))}getCameraQueryGeometry(t){const r=this.getCameraPoint();if(1===t.length)return[t[0],r];{let n=r.x,i=r.y,a=r.x,o=r.y;for(const e of t)n=Math.min(n,e.x),i=Math.min(i,e.y),a=Math.max(a,e.x),o=Math.max(o,e.y);return[new e.P(n,i),new e.P(a,i),new e.P(a,o),new e.P(n,o),new e.P(n,i)]}}lngLatToCameraDepth(t,r){const n=this.locationCoordinate(t),i=[n.x*this.worldSize,n.y*this.worldSize,r,1];return e.ag(i,i,this.modelViewProjectionMatrix),i[2]/i[3]}}function Cn(t,e){let r,n=!1,i=null,a=null;const o=()=>{i=null,n&&(t.apply(a,r),i=setTimeout(o,e),n=!1)};return(...t)=>(n=!0,a=this,r=t,i||o(),i)}class Ln{constructor(t){this._getCurrentHash=()=>{const t=window.location.hash.replace(\"#\",\"\");if(this._hashName){let e;return t.split(\"&\").map((t=>t.split(\"=\"))).forEach((t=>{t[0]===this._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")}return t.split(\"/\")},this._onHashChange=()=>{const t=this._getCurrentHash();if(t.length>=3&&!t.some((t=>isNaN(t)))){const 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},this._updateHashUnthrottled=()=>{const t=window.location.href.replace(/(#.+)?$/,this.getHashString());window.history.replaceState(window.history.state,null,t)},this._removeHash=()=>{const t=this._getCurrentHash();if(0===t.length)return;const e=t.join(\"/\");let r=e;r.split(\"&\").length>0&&(r=r.split(\"&\")[0]),this._hashName&&(r=`${this._hashName}=${e}`);let n=window.location.hash.replace(r,\"\");n.startsWith(\"#&\")?n=n.slice(0,1)+n.slice(2):\"#\"===n&&(n=\"\");let i=window.location.href.replace(/(#.+)?$/,n);i=i.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,i)},this._updateHash=Cn(this._updateHashUnthrottled,300),this._hashName=t&&encodeURIComponent(t)}addTo(t){return this._map=t,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(t){const e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch();let c=\"\";if(c+=t?`/${a}/${o}/${r}`:`${r}/${o}/${a}`,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=`/${Math.round(l)}`),this._hashName){const t=this._hashName;let e=!1;const r=window.location.hash.slice(1).split(\"&\").map((r=>{const n=r.split(\"=\")[0];return n===t?(e=!0,`${n}=${c}`):r})).filter((t=>t));return e||r.push(`${t}=${c}`),`#${r.join(\"&\")}`}return`#${c}`}}const In={linearity:.3,easing:e.b8(0,0,.3,1)},Pn=e.e({deceleration:2500,maxSpeed:1400},In),zn=e.e({deceleration:20,maxSpeed:1400},In),On=e.e({deceleration:1e3,maxSpeed:360},In),Dn=e.e({deceleration:1e3,maxSpeed:90},In);class Rn{constructor(t){this._map=t,this.clear()}clear(){this._inertiaBuffer=[]}record(t){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:a.now(),settings:t})}_drainInertiaBuffer(){const t=this._inertiaBuffer,e=a.now();for(;t.length>0&&e-t[0].time>160;)t.shift()}_onMoveEnd(t){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;const r={zoom:0,bearing:0,pitch:0,pan:new e.P(0,0),pinchAround:void 0,around:void 0};for(const{settings:t}of this._inertiaBuffer)r.zoom+=t.zoomDelta||0,r.bearing+=t.bearingDelta||0,r.pitch+=t.pitchDelta||0,t.panDelta&&r.pan._add(t.panDelta),t.around&&(r.around=t.around),t.pinchAround&&(r.pinchAround=t.pinchAround);const n=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,i={};if(r.pan.mag()){const a=Bn(r.pan.mag(),n,e.e({},Pn,t||{}));i.offset=r.pan.mult(a.amount/r.pan.mag()),i.center=this._map.transform.center,Fn(i,a)}if(r.zoom){const t=Bn(r.zoom,n,zn);i.zoom=this._map.transform.zoom+t.amount,Fn(i,t)}if(r.bearing){const t=Bn(r.bearing,n,On);i.bearing=this._map.transform.bearing+e.ad(t.amount,-179,179),Fn(i,t)}if(r.pitch){const t=Bn(r.pitch,n,Dn);i.pitch=this._map.transform.pitch+t.amount,Fn(i,t)}if(i.zoom||i.bearing){const t=void 0===r.pinchAround?r.around:r.pinchAround;i.around=t?this._map.unproject(t):this._map.getCenter()}return this.clear(),e.e(i,{noMoveStart:!0})}}function Fn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Bn(t,r,n){const{maxSpeed:i,linearity:a,deceleration:o}=n,s=e.ad(t*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}class Nn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n,i={}){const a=o.mousePos(r.getCanvas(),n),s=r.unproject(a);super(t,e.e({point:a,lngLat:s,originalEvent:n},i)),this._defaultPrevented=!1,this.target=r}}class jn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n){const i=\"touchend\"===t?n.changedTouches:n.touches,a=o.touchPos(r.getCanvasContainer(),i),s=a.map((t=>r.unproject(t))),l=a.reduce(((t,e,r,n)=>t.add(e.div(n.length))),new e.P(0,0));super(t,{points:a,point:l,lngLats:s,lngLat:r.unproject(l),originalEvent:n}),this._defaultPrevented=!1}}class Un extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,e,r){super(t,{originalEvent:r}),this._defaultPrevented=!1}}class Vn{constructor(t,e){this._map=t,this._clickTolerance=e.clickTolerance}reset(){delete this._mousedownPos}wheel(t){return this._firePreventable(new Un(t.type,this._map,t))}mousedown(t,e){return this._mousedownPos=e,this._firePreventable(new Nn(t.type,this._map,t))}mouseup(t){this._map.fire(new Nn(t.type,this._map,t))}click(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Nn(t.type,this._map,t))}dblclick(t){return this._firePreventable(new Nn(t.type,this._map,t))}mouseover(t){this._map.fire(new Nn(t.type,this._map,t))}mouseout(t){this._map.fire(new Nn(t.type,this._map,t))}touchstart(t){return this._firePreventable(new jn(t.type,this._map,t))}touchmove(t){this._map.fire(new jn(t.type,this._map,t))}touchend(t){this._map.fire(new jn(t.type,this._map,t))}touchcancel(t){this._map.fire(new jn(t.type,this._map,t))}_firePreventable(t){if(this._map.fire(t),t.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class qn{constructor(t){this._map=t}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(t){this._map.fire(new Nn(t.type,this._map,t))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Nn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(t){this._delayContextMenu?this._contextMenuEvent=t:this._ignoreContextMenu||this._map.fire(new Nn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Hn{constructor(t){this._map=t}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(t){return this.transform.pointLocation(e.P.convert(t),this._map.terrain)}}class Gn{constructor(t,e){this._map=t,this._tr=new Hn(t),this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(o.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)}mousemoveWindow(t,e){if(!this._active)return;const r=e;if(this._lastPos.equals(r)||!this._box&&r.dist(this._startPos)<this._clickTolerance)return;const n=this._startPos;this._lastPos=r,this._box||(this._box=o.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));const i=Math.min(n.x,r.x),a=Math.max(n.x,r.x),s=Math.min(n.y,r.y),l=Math.max(n.y,r.y);o.setTransform(this._box,`translate(${i}px,${s}px)`),this._box.style.width=a-i+\"px\",this._box.style.height=l-s+\"px\"}mouseupWindow(t,r){if(!this._active)return;if(0!==t.button)return;const n=this._startPos,i=r;if(this.reset(),o.suppressClick(),n.x!==i.x||n.y!==i.y)return this._map.fire(new e.k(\"boxzoomend\",{originalEvent:t})),{cameraAnimation:t=>t.fitScreenCoordinates(n,i,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",t)}keydown(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(t,r){return this._map.fire(new e.k(t,{originalEvent:r}))}}function Zn(t,e){if(t.length!==e.length)throw new Error(`The number of touches and points are not equal - touches ${t.length}, points ${e.length}`);const r={};for(let n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}class Wn{constructor(t){this.reset(),this.numTouches=t.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(t,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=t.timeStamp),n.length===this.numTouches&&(this.centroid=function(t){const r=new e.P(0,0);for(const e of t)r._add(e);return r.div(t.length)}(r),this.touches=Zn(n,r)))}touchmove(t,e,r){if(this.aborted||!this.centroid)return;const n=Zn(r,e);for(const t in this.touches){const e=this.touches[t],r=n[t];(!r||r.dist(e)>30)&&(this.aborted=!0)}}touchend(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){const t=!this.aborted&&this.centroid;if(this.reset(),t)return t}}}class Yn{constructor(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(t,e,r){this.singleTap.touchstart(t,e,r)}touchmove(t,e,r){this.singleTap.touchmove(t,e,r)}touchend(t,e,r){const n=this.singleTap.touchend(t,e,r);if(n){const e=t.timeStamp-this.lastTime<500,r=!this.lastTap||this.lastTap.dist(n)<30;if(e&&r||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}}}class Xn{constructor(t){this._tr=new Hn(t),this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)}touchmove(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)}touchend(t,e,r){const n=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r),a=this._tr;return n?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom+1,around:a.unproject(n)},{originalEvent:t})}):i?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom-1,around:a.unproject(i)},{originalEvent:t})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class $n{constructor(t){this._enabled=!!t.enable,this._moveStateManager=t.moveStateManager,this._clickTolerance=t.clickTolerance||1,this._moveFunction=t.move,this._activateOnStart=!!t.activateOnStart,t.assignEvents(this),this.reset()}reset(t){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(t)}_move(...t){const e=this._moveFunction(...t);if(e.bearingDelta||e.pitchDelta||e.around||e.panDelta)return this._active=!0,e}dragStart(t,e){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(t)&&(this._moveStateManager.startMove(t),this._lastPoint=e.length?e[0]:e,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(t,e){if(!this.isEnabled())return;const r=this._lastPoint;if(!r)return;if(t.preventDefault(),!this._moveStateManager.isValidMoveEvent(t))return void this.reset(t);const n=e.length?e[0]:e;return!this._moved&&n.dist(r)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=n,this._move(r,n))}dragEnd(t){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(t)&&(this._moved&&o.suppressClick(),this.reset(t))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}const Jn={0:1,2:2};class Kn{constructor(t){this._correctEvent=t.checkCorrectEvent}startMove(t){const e=o.mouseButton(t);this._eventButton=e}endMove(t){delete this._eventButton}isValidStartEvent(t){return this._correctEvent(t)}isValidMoveEvent(t){return!function(t,e){const r=Jn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton)}isValidEndEvent(t){return o.mouseButton(t)===this._eventButton}}class Qn{constructor(){this._firstTouch=void 0}_isOneFingerTouch(t){return 1===t.targetTouches.length}_isSameTouchEvent(t){return t.targetTouches[0].identifier===this._firstTouch}startMove(t){const e=t.targetTouches[0].identifier;this._firstTouch=e}endMove(t){delete this._firstTouch}isValidStartEvent(t){return this._isOneFingerTouch(t)}isValidMoveEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}isValidEndEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}}const ti=t=>{t.mousedown=t.dragStart,t.mousemoveWindow=t.dragMove,t.mouseup=t.dragEnd,t.contextmenu=t=>{t.preventDefault()}},ei=({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:ti})},ri=({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:ti})};class ni{constructor(t,e){this._clickTolerance=t.clickTolerance||1,this._map=e,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new e.P(0,0)}_shouldBePrevented(t){return t<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(t,e,r){return this._calculateTransform(t,e,r)}touchmove(t,e,r){if(this._active){if(!this._shouldBePrevented(r.length))return t.preventDefault(),this._calculateTransform(t,e,r);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",t)}}touchend(t,e,r){this._calculateTransform(t,e,r),this._active&&this._shouldBePrevented(r.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(t,r,n){n.length>0&&(this._active=!0);const i=Zn(n,r),a=new e.P(0,0),o=new e.P(0,0);let s=0;for(const t in i){const e=i[t],r=this._touches[t];r&&(a._add(e),o._add(e.sub(r)),s++,i[t]=e)}if(this._touches=i,this._shouldBePrevented(s)||!o.mag())return;const l=o.div(s);return this._sum._add(l),this._sum.mag()<this._clickTolerance?void 0:{around:a.div(s),panDelta:l}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class ii{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))}touchmove(t,e,r){if(!this._firstTwoTouches)return;t.preventDefault();const[n,i]=this._firstTwoTouches,a=ai(r,e,n),o=ai(r,e,i);if(!a||!o)return;const s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}touchend(t,e,r){if(!this._firstTwoTouches)return;const[n,i]=this._firstTwoTouches,a=ai(r,e,n),s=ai(r,e,i);a&&s||(this._active&&o.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function ai(t,e,r){for(let n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function oi(t,e){return Math.log(t/e)/Math.LN2}class si extends ii{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(t){this._startDistance=this._distance=t[0].dist(t[1])}_move(t,e){const r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}}}function li(t,e){return 180*t.angleWith(e)/Math.PI}class ci extends ii{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])}_move(t,e,r){const n=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,n),pinchAround:e}}_isBelowThreshold(t){this._minDiameter=Math.min(this._minDiameter,t.mag());const e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e}}function ui(t){return Math.abs(t.y)>Math.abs(t.x)}class hi extends ii{constructor(t){super(),this._currentTouchCount=0,this._map=t}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(t,e,r){super.touchstart(t,e,r),this._currentTouchCount=r.length}_start(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)}_move(t,e,r){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;const n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid?(this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}):void 0}gestureBeginsVertically(t,e,r){if(void 0!==this._valid)return this._valid;const n=t.mag()>=2,i=e.mag()>=2;if(!n&&!i)return;if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;const a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}}const fi={panStep:100,bearingStep:15,pitchStep:10};class pi{constructor(t){this._tr=new Hn(t);const e=fi;this._panStep=e.panStep,this._bearingStep=e.bearingStep,this._pitchStep=e.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(t){if(t.altKey||t.ctrlKey||t.metaKey)return;let e=0,r=0,n=0,i=0,a=0;switch(t.keyCode){case 61:case 107:case 171:case 187:e=1;break;case 189:case 109:case 173:e=-1;break;case 37:t.shiftKey?r=-1:(t.preventDefault(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(t.preventDefault(),a=1);break;default:return}return this._rotationDisabled&&(r=0,n=0),{cameraAnimation:o=>{const s=this._tr;o.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:e?Math.round(s.zoom)+e*(t.shiftKey?2:1):s.zoom,bearing:s.bearing+r*this._bearingStep,pitch:s.pitch+n*this._pitchStep,offset:[-i*this._panStep,-a*this._panStep],center:s.center},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function di(t){return t*(2-t)}const mi=4.000244140625;class gi{constructor(t,e){this._onTimeout=t=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},this._map=t,this._tr=new Hn(t),this._triggerRenderFrame=e,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(t){this._defaultZoomRate=t}setWheelZoomRate(t){this._wheelZoomRate=t}isEnabled(){return!!this._enabled}isActive(){return!!this._active||void 0!==this._finishTimeout}isZooming(){return!!this._zooming}enable(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(t){return!!this._map.cooperativeGestures.isEnabled()&&!(t.ctrlKey||this._map.cooperativeGestures.isBypassed(t))}wheel(t){if(!this.isEnabled())return;if(this._shouldBePrevented(t))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",t);let e=t.deltaMode===WheelEvent.DOM_DELTA_LINE?40*t.deltaY:t.deltaY;const r=a.now(),n=r-(this._lastWheelEventTime||0);this._lastWheelEventTime=r,0!==e&&e%mi==0?this._type=\"wheel\":0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40,t)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&(this._lastWheelEvent=t,this._delta-=e,this._active||this._start(t)),t.preventDefault()}_start(t){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);const r=o.mousePos(this._map.getCanvas(),t),n=this._tr;r.y>n.transform.height/2-n.transform.getHorizon()?this._around=e.N.convert(this._aroundCenter?n.center:n.unproject(r)):this._around=e.N.convert(n.center),this._aroundPoint=n.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId)return;if(this._frameId=null,!this.isActive())return;const t=this._tr.transform;if(0!==this._delta){const e=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate;let r=2/(1+Math.exp(-Math.abs(this._delta*e)));this._delta<0&&0!==r&&(r=1/r);const n=\"number\"==typeof this._targetZoom?t.zoomScale(this._targetZoom):t.scale;this._targetZoom=Math.min(t.maxZoom,Math.max(t.minZoom,t.scaleZoom(n*r))),\"wheel\"===this._type&&(this._startZoom=t.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}const r=\"number\"==typeof this._targetZoom?this._targetZoom:t.zoom,n=this._startZoom,i=this._easing;let o,s=!1;const l=a.now()-this._lastWheelEventTime;if(\"wheel\"===this._type&&n&&i&&l){const t=Math.min(l/200,1),a=i(t);o=e.z.number(n,r,a),t<1?this._frameId||(this._frameId=!0):s=!0}else o=r,s=!0;return this._active=!0,s&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!s,zoomDelta:o-t.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(t){let r=e.b9;if(this._prevEase){const t=this._prevEase,n=(a.now()-t.start)/t.duration,i=t.easing(n+.01)-t.easing(n),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=e.b8(o,s,.25,1)}return this._prevEase={start:a.now(),duration:t,easing:r},r}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class yi{constructor(t,e){this._clickZoom=t,this._tapZoom=e}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class vi{constructor(t){this._tr=new Hn(t),this.reset()}reset(){this._active=!1}dblclick(t,e){return t.preventDefault(),{cameraAnimation:r=>{r.easeTo({duration:300,zoom:this._tr.zoom+(t.shiftKey?-1:1),around:this._tr.unproject(e)},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class xi{constructor(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(t,e,r){if(!this._swipePoint)if(this._tapTime){const n=e[0],i=t.timeStamp-this._tapTime<500,a=this._tapPoint.dist(n)<30;i&&a?r.length>0&&(this._swipePoint=n,this._swipeTouch=r[0].identifier):this.reset()}else this._tap.touchstart(t,e,r)}touchmove(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;const n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)}touchend(t,e,r){if(this._tapTime)this._swipePoint&&0===r.length&&this.reset();else{const n=this._tap.touchend(t,e,r);n&&(this._tapTime=t.timeStamp,this._tapPoint=n)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class _i{constructor(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r}enable(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class bi{constructor(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class wi{constructor(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0}enable(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class Ti{constructor(t,e){this._bypassKey=-1!==navigator.userAgent.indexOf(\"Mac\")?\"metaKey\":\"ctrlKey\",this._map=t,this._options=e,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;const t=this._map.getCanvasContainer();t.classList.add(\"maplibregl-cooperative-gestures\"),this._container=o.create(\"div\",\"maplibregl-cooperative-gesture-screen\",t);let e=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");\"metaKey\"===this._bypassKey&&(e=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));const r=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),n=document.createElement(\"div\");n.className=\"maplibregl-desktop-message\",n.textContent=e,this._container.appendChild(n);const i=document.createElement(\"div\");i.className=\"maplibregl-mobile-message\",i.textContent=r,this._container.appendChild(i),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(o.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(t){return t[this._bypassKey]}notifyGestureBlocked(t,r){this._enabled&&(this._map.fire(new e.k(\"cooperativegestureprevented\",{gestureType:t,originalEvent:r})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}const ki=t=>t.zoom||t.drag||t.pitch||t.rotate;class Ai extends e.k{}function Mi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}class Si{constructor(t,e){this.handleWindowEvent=t=>{this.handleEvent(t,`${t.type}Window`)},this.handleEvent=(t,e)=>{if(\"blur\"===t.type)return void this.stop(!0);this._updatingCamera=!0;const r=\"renderFrame\"===t.type?void 0:t,n={needsRenderFrame:!1},i={},a={},s=t.touches,l=s?this._getMapTouches(s):void 0,c=l?o.touchPos(this._map.getCanvas(),l):o.mousePos(this._map.getCanvas(),t);for(const{handlerName:o,handler:s,allowed:u}of this._handlers){if(!s.isEnabled())continue;let h;this._blockedByActive(a,u,o)?s.reset():s[e||t.type]&&(h=s[e||t.type](t,c,l),this.mergeHandlerResult(n,i,h,o,r),h&&h.needsRenderFrame&&this._triggerRenderFrame()),(h||s.isActive())&&(a[o]=s)}const u={};for(const t in this._previousActiveHandlers)a[t]||(u[t]=r);this._previousActiveHandlers=a,(Object.keys(u).length||Mi(n))&&(this._changes.push([n,i,u]),this._triggerRenderFrame()),(Object.keys(a).length||Mi(n))&&this._map._stop(!0),this._updatingCamera=!1;const{cameraAnimation:h}=n;h&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],h(this._map))},this._map=t,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Rn(t),this._bearingSnap=e.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(e);const r=this._el;this._listeners=[[r,\"touchstart\",{passive:!0}],[r,\"touchmove\",{passive:!1}],[r,\"touchend\",void 0],[r,\"touchcancel\",void 0],[r,\"mousedown\",void 0],[r,\"mousemove\",void 0],[r,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[r,\"mouseover\",void 0],[r,\"mouseout\",void 0],[r,\"dblclick\",void 0],[r,\"click\",void 0],[r,\"keydown\",{capture:!1}],[r,\"keyup\",void 0],[r,\"wheel\",{passive:!1}],[r,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(const[t,e,r]of this._listeners)o.addEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}destroy(){for(const[t,e,r]of this._listeners)o.removeEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}_addDefaultHandlers(t){const e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Vn(e,t));const n=e.boxZoom=new Gn(e,t);this._add(\"boxZoom\",n),t.interactive&&t.boxZoom&&n.enable();const i=e.cooperativeGestures=new Ti(e,t.cooperativeGestures);this._add(\"cooperativeGestures\",i),t.cooperativeGestures&&i.enable();const a=new Xn(e),s=new vi(e);e.doubleClickZoom=new yi(s,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",s),t.interactive&&t.doubleClickZoom&&e.doubleClickZoom.enable();const l=new xi;this._add(\"tapDragZoom\",l);const c=e.touchPitch=new hi(e);this._add(\"touchPitch\",c),t.interactive&&t.touchPitch&&e.touchPitch.enable(t.touchPitch);const u=ei(t),h=ri(t);e.dragRotate=new bi(t,u,h),this._add(\"mouseRotate\",u,[\"mousePitch\"]),this._add(\"mousePitch\",h,[\"mouseRotate\"]),t.interactive&&t.dragRotate&&e.dragRotate.enable();const f=(({enable:t,clickTolerance:e})=>{const r=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&!t.ctrlKey});return new $n({clickTolerance:e,move:(t,e)=>({around:e,panDelta:e.sub(t)}),activateOnStart:!0,moveStateManager:r,enable:t,assignEvents:ti})})(t),p=new ni(t,e);e.dragPan=new _i(r,f,p),this._add(\"mousePan\",f),this._add(\"touchPan\",p,[\"touchZoom\",\"touchRotate\"]),t.interactive&&t.dragPan&&e.dragPan.enable(t.dragPan);const d=new ci,m=new si;e.touchZoomRotate=new wi(r,m,d,l),this._add(\"touchRotate\",d,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",m,[\"touchPan\",\"touchRotate\"]),t.interactive&&t.touchZoomRotate&&e.touchZoomRotate.enable(t.touchZoomRotate);const g=e.scrollZoom=new gi(e,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",g,[\"mousePan\"]),t.interactive&&t.scrollZoom&&e.scrollZoom.enable(t.scrollZoom);const y=e.keyboard=new pi(e);this._add(\"keyboard\",y),t.interactive&&t.keyboard&&e.keyboard.enable(),this._add(\"blockableMapEvent\",new qn(e))}_add(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e}stop(t){if(!this._updatingCamera){for(const{handler:t}of this._handlers)t.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}}isActive(){for(const{handler:t}of this._handlers)if(t.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return Boolean(ki(this._eventsInProgress))||this.isZooming()}_blockedByActive(t,e,r){for(const n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1}_getMapTouches(t){const e=[];for(const r of t){const t=r.target;this._el.contains(t)&&e.push(r)}return e}mergeHandlerResult(t,r,n,i,a){if(!n)return;e.e(t,n);const o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}_applyChanges(){const t={},r={},n={};for(const[i,a,o]of this._changes)i.panDelta&&(t.panDelta=(t.panDelta||new e.P(0,0))._add(i.panDelta)),i.zoomDelta&&(t.zoomDelta=(t.zoomDelta||0)+i.zoomDelta),i.bearingDelta&&(t.bearingDelta=(t.bearingDelta||0)+i.bearingDelta),i.pitchDelta&&(t.pitchDelta=(t.pitchDelta||0)+i.pitchDelta),void 0!==i.around&&(t.around=i.around),void 0!==i.pinchAround&&(t.pinchAround=i.pinchAround),i.noInertia&&(t.noInertia=i.noInertia),e.e(r,a),e.e(n,o);this._updateMapTransform(t,r,n),this._changes=[]}_updateMapTransform(t,e,r){const n=this._map,i=n._getTransformForUpdate(),a=n.terrain;if(!(Mi(t)||a&&this._terrainMovement))return this._fireEvents(e,r,!0);let{panDelta:o,zoomDelta:s,bearingDelta:l,pitchDelta:c,around:u,pinchAround:h}=t;void 0!==h&&(u=h),n._stop(!0),u=u||n.transform.centerPoint;const f=i.pointLocation(o?u.sub(o):u);l&&(i.bearing+=l),c&&(i.pitch+=c),s&&(i.zoom+=s),a?this._terrainMovement||!e.drag&&!e.zoom?e.drag&&this._terrainMovement?i.center=i.pointLocation(i.centerPoint.sub(o)):i.setLocationAtPoint(f,u):(this._terrainMovement=!0,this._map._elevationFreeze=!0,i.setLocationAtPoint(f,u)):i.setLocationAtPoint(f,u),n._applyUpdatedTransform(i),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)}_fireEvents(t,r,n){const i=ki(this._eventsInProgress),o=ki(t),s={};for(const e in t){const{originalEvent:r}=t[e];this._eventsInProgress[e]||(s[`${e}start`]=r),this._eventsInProgress[e]=t[e]}!i&&o&&this._fireEvent(\"movestart\",o.originalEvent);for(const t in s)this._fireEvent(t,s[t]);o&&this._fireEvent(\"move\",o.originalEvent);for(const e in t){const{originalEvent:r}=t[e];this._fireEvent(e,r)}const l={};let c;for(const t in this._eventsInProgress){const{handlerName:e,originalEvent:n}=this._eventsInProgress[t];this._handlersById[e].isActive()||(delete this._eventsInProgress[t],c=r[e]||n,l[`${t}end`]=c)}for(const t in l)this._fireEvent(t,l[t]);const u=ki(this._eventsInProgress),h=(i||o)&&!u;if(h&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;const t=this._map._getTransformForUpdate();t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(t)}if(n&&h){this._updatingCamera=!0;const t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),r=t=>0!==t&&-this._bearingSnap<t&&t<this._bearingSnap;!t||!t.essential&&a.prefersReducedMotion?(this._map.fire(new e.k(\"moveend\",{originalEvent:c})),r(this._map.getBearing())&&this._map.resetNorth()):(r(t.bearing||this._map.getBearing())&&(t.bearing=0),t.freezeElevation=!0,this._map.easeTo(t,{originalEvent:c})),this._updatingCamera=!1}}_fireEvent(t,r){this._map.fire(new e.k(t,r?{originalEvent:r}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((t=>{delete this._frameId,this.handleEvent(new Ai(\"renderFrame\",{timeStamp:t})),this._applyChanges()}))}_triggerRenderFrame(){void 0===this._frameId&&(this._frameId=this._requestFrame())}}class Ei extends e.E{constructor(t,e){super(),this._renderFrameCallback=()=>{const t=Math.min((a.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=t,this._bearingSnap=e.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new e.N(this.transform.center.lng,this.transform.center.lat)}setCenter(t,e){return this.jumpTo({center:t},e)}panBy(t,r,n){return t=e.P.convert(t).mult(-1),this.panTo(this.transform.center,e.e({offset:t},r),n)}panTo(t,r,n){return this.easeTo(e.e({center:t},r),n)}getZoom(){return this.transform.zoom}setZoom(t,e){return this.jumpTo({zoom:t},e),this}zoomTo(t,r,n){return this.easeTo(e.e({zoom:t},r),n)}zoomIn(t,e){return this.zoomTo(this.getZoom()+1,t,e),this}zoomOut(t,e){return this.zoomTo(this.getZoom()-1,t,e),this}getBearing(){return this.transform.bearing}setBearing(t,e){return this.jumpTo({bearing:t},e),this}getPadding(){return this.transform.padding}setPadding(t,e){return this.jumpTo({padding:t},e),this}rotateTo(t,r,n){return this.easeTo(e.e({bearing:t},r),n)}resetNorth(t,r){return this.rotateTo(0,e.e({duration:1e3},t),r),this}resetNorthPitch(t,r){return this.easeTo(e.e({bearing:0,pitch:0,duration:1e3},t),r),this}snapToNorth(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this}getPitch(){return this.transform.pitch}setPitch(t,e){return this.jumpTo({pitch:t},e),this}cameraForBounds(t,e){t=X.convert(t);const r=e&&e.bearing||0;return this._cameraForBoxAndBearing(t.getNorthWest(),t.getSouthEast(),r,e)}_cameraForBoxAndBearing(t,r,n,i){const a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=e.e({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){const t=i.padding;i.padding={top:t,bottom:t,right:t,left:t}}i.padding=e.e(a,i.padding);const o=this.transform,s=o.padding,l=new X(t,r),c=o.project(l.getNorthWest()),u=o.project(l.getNorthEast()),h=o.project(l.getSouthEast()),f=o.project(l.getSouthWest()),p=e.ba(-n),d=c.rotate(p),m=u.rotate(p),g=h.rotate(p),y=f.rotate(p),v=new e.P(Math.max(d.x,m.x,y.x,g.x),Math.max(d.y,m.y,y.y,g.y)),x=new e.P(Math.min(d.x,m.x,y.x,g.x),Math.min(d.y,m.y,y.y,g.y)),_=v.sub(x),b=(o.width-(s.left+s.right+i.padding.left+i.padding.right))/_.x,w=(o.height-(s.top+s.bottom+i.padding.top+i.padding.bottom))/_.y;if(w<0||b<0)return void e.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");const T=Math.min(o.scaleZoom(o.scale*Math.min(b,w)),i.maxZoom),k=e.P.convert(i.offset),A=(i.padding.left-i.padding.right)/2,M=(i.padding.top-i.padding.bottom)/2,S=new e.P(A,M).rotate(e.ba(n)),E=k.add(S).mult(o.scale/o.zoomScale(T));return{center:o.unproject(c.add(h).div(2).sub(E)),zoom:T,bearing:n}}fitBounds(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)}fitScreenCoordinates(t,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(e.P.convert(t)),this.transform.pointLocation(e.P.convert(r)),n,i),i,a)}_fitInternal(t,r,n){return t?(delete(r=e.e(t,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this}jumpTo(t,r){this.stop();const n=this._getTransformForUpdate();let i=!1,a=!1,o=!1;return\"zoom\"in t&&n.zoom!==+t.zoom&&(i=!0,n.zoom=+t.zoom),void 0!==t.center&&(n.center=e.N.convert(t.center)),\"bearing\"in t&&n.bearing!==+t.bearing&&(a=!0,n.bearing=+t.bearing),\"pitch\"in t&&n.pitch!==+t.pitch&&(o=!0,n.pitch=+t.pitch),null==t.padding||n.isPaddingEqual(t.padding)||(n.padding=t.padding),this._applyUpdatedTransform(n),this.fire(new e.k(\"movestart\",r)).fire(new e.k(\"move\",r)),i&&this.fire(new e.k(\"zoomstart\",r)).fire(new e.k(\"zoom\",r)).fire(new e.k(\"zoomend\",r)),a&&this.fire(new e.k(\"rotatestart\",r)).fire(new e.k(\"rotate\",r)).fire(new e.k(\"rotateend\",r)),o&&this.fire(new e.k(\"pitchstart\",r)).fire(new e.k(\"pitch\",r)).fire(new e.k(\"pitchend\",r)),this.fire(new e.k(\"moveend\",r))}calculateCameraOptionsFromTo(t,r,n,i=0){const a=e.Z.fromLngLat(t,r),o=e.Z.fromLngLat(n,i),s=o.x-a.x,l=o.y-a.y,c=o.z-a.z,u=Math.hypot(s,l,c);if(0===u)throw new Error(\"Can't calculate camera options with same From and To\");const h=Math.hypot(s,l),f=this.transform.scaleZoom(this.transform.cameraToCenterDistance/u/this.transform.tileSize),p=180*Math.atan2(s,-l)/Math.PI;let d=180*Math.acos(h/u)/Math.PI;return d=c<0?90-d:90+d,{center:o.toLngLat(),zoom:f,pitch:d,bearing:p}}easeTo(t,r){var n;this._stop(!1,t.easeId),(!1===(t=e.e({offset:[0,0],duration:500,easing:e.b9},t)).animate||!t.essential&&a.prefersReducedMotion)&&(t.duration=0);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.project(m),x=i.project(g).sub(v),_=i.zoomScale(y-o);let b,w;t.around&&(b=e.N.convert(t.around),w=i.locationPoint(b));const T={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||y!==o,this._rotating=this._rotating||s!==u,this._pitching=this._pitching||h!==l,this._padding=!i.isPaddingEqual(f),this._easeId=t.easeId,this._prepareEase(r,t.noMoveStart,T),this.terrain&&this._prepareElevation(g),this._ease((n=>{if(this._zooming&&(i.zoom=e.z.number(o,y,n)),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n),b)i.setLocationAtPoint(b,w);else{const t=i.zoomScale(i.zoom-o),e=y>o?Math.min(2,_):Math.max(.5,_),r=Math.pow(e,1-n),a=i.unproject(v.add(x.mult(n*r)).mult(t));i.setLocationAtPoint(i.renderWorldCopies?a.wrap():a,d)}this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(e=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r,e)}),t),this}_prepareEase(t,r,n={}){this._moving=!0,r||n.moving||this.fire(new e.k(\"movestart\",t)),this._zooming&&!n.zooming&&this.fire(new e.k(\"zoomstart\",t)),this._rotating&&!n.rotating&&this.fire(new e.k(\"rotatestart\",t)),this._pitching&&!n.pitching&&this.fire(new e.k(\"pitchstart\",t))}_prepareElevation(t){this._elevationCenter=t,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(t,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(t){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);const r=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(t<1&&r!==this._elevationTarget){const e=this._elevationTarget-this._elevationStart,n=(r-(e*t+this._elevationStart))/(1-t);this._elevationStart+=t*(e-n),this._elevationTarget=r}this.transform.elevation=e.z.number(this._elevationStart,this._elevationTarget,t)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(t){const e=t.getCameraPosition(),r=this.terrain.getElevationForLngLatZoom(e.lngLat,t.zoom);if(e.altitude<r){const n=this.calculateCameraOptionsFromTo(e.lngLat,r,t.center,t.elevation);return{pitch:n.pitch,zoom:n.zoom}}return{}}_applyUpdatedTransform(t){const e=[];if(this.terrain&&e.push((t=>this._elevateCameraIfInsideTerrain(t))),this.transformCameraUpdate&&e.push((t=>this.transformCameraUpdate(t))),!e.length)return;const r=t.clone();for(const t of e){const e=r.clone(),{center:n,zoom:i,pitch:a,bearing:o,elevation:s}=t(e);n&&(e.center=n),void 0!==i&&(e.zoom=i),void 0!==a&&(e.pitch=a),void 0!==o&&(e.bearing=o),void 0!==s&&(e.elevation=s),r.apply(e)}this.transform.apply(r)}_fireMoveEvents(t){this.fire(new e.k(\"move\",t)),this._zooming&&this.fire(new e.k(\"zoom\",t)),this._rotating&&this.fire(new e.k(\"rotate\",t)),this._pitching&&this.fire(new e.k(\"pitch\",t))}_afterEase(t,r){if(this._easeId&&r&&this._easeId===r)return;delete this._easeId;const n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new e.k(\"zoomend\",t)),i&&this.fire(new e.k(\"rotateend\",t)),a&&this.fire(new e.k(\"pitchend\",t)),this.fire(new e.k(\"moveend\",t))}flyTo(t,r){var n;if(!t.essential&&a.prefersReducedMotion){const n=e.M(t,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(n,r)}this.stop(),t=e.e({offset:[0,0],speed:1.2,curve:1.42,easing:e.b9},t);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.zoomScale(y-o),x=i.project(m),_=i.project(g).sub(x);let b=t.curve;const w=Math.max(i.width,i.height),T=w/v,k=_.mag();if(\"minZoom\"in t){const r=e.ad(Math.min(t.minZoom,o,y),i.minZoom,i.maxZoom),n=w/i.zoomScale(r-o);b=Math.sqrt(n/k*2)}const A=b*b;function M(t){const e=(T*T-w*w+(t?-1:1)*A*A*k*k)/(2*(t?T:w)*A*k);return Math.log(Math.sqrt(e*e+1)-e)}function S(t){return(Math.exp(t)-Math.exp(-t))/2}function E(t){return(Math.exp(t)+Math.exp(-t))/2}const C=M(!1);let L=function(t){return E(C)/E(C+b*t)},I=function(t){return w*((E(C)*(S(e=C+b*t)/E(e))-S(C))/A)/k;var e},P=(M(!0)-C)/b;if(Math.abs(k)<1e-6||!isFinite(P)){if(Math.abs(w-T)<1e-6)return this.easeTo(t,r);const e=T<w?-1:1;P=Math.abs(Math.log(T/w))/b,I=()=>0,L=t=>Math.exp(e*b*t)}if(\"duration\"in t)t.duration=+t.duration;else{const e=\"screenSpeed\"in t?+t.screenSpeed/b:+t.speed;t.duration=1e3*P/e}return t.maxDuration&&t.duration>t.maxDuration&&(t.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._padding=!i.isPaddingEqual(f),this._prepareEase(r,!1),this.terrain&&this._prepareElevation(g),this._ease((n=>{const a=n*P,m=1/L(a);i.zoom=1===n?y:o+i.scaleZoom(m),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n);const v=1===n?g:i.unproject(x.add(_.mult(I(a))).mult(m));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,d),this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(()=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r)}),t),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(t,e){var r;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){const t=this._onEaseEnd;delete this._onEaseEnd,t.call(this,e)}return t||null===(r=this.handlers)||void 0===r||r.stop(!1),this}_ease(t,e,r){!1===r.animate||0===r.duration?(t(1),e()):(this._easeStart=a.now(),this._easeOptions=r,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(t,r){t=e.b3(t,-180,180);const n=Math.abs(t-r);return Math.abs(t-360-r)<n&&(t-=360),Math.abs(t+360-r)<n&&(t+=360),t}_normalizeCenter(t,e){if(!e.renderWorldCopies||e.lngRange)return;const r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}queryTerrainElevation(t){return this.terrain?this.terrain.getElevationForLngLatZoom(e.N.convert(t),this.transform.tileZoom)-this.transform.elevation:null}}const Ci={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Li{constructor(t=Ci){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=t=>{!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType&&\"terrain\"!==t.type||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1===this._compact?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=t}getDefaultPosition(){return\"bottom-right\"}onAdd(t){return this._map=t,this._compact=this.options.compact,this._container=o.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=o.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(t,e){const r=this._map._getUIString(`AttributionControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)}_updateAttributions(){if(!this._map.style)return;let t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((t=>\"string\"!=typeof t?\"\":t))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){const t=this._map.style.stylesheet;this.styleOwner=t.owner,this.styleId=t.id}const e=this._map.style.sourceCaches;for(const r in e){const n=e[r];if(n.used||n.usedForTerrain){const e=n.getSource();e.attribution&&t.indexOf(e.attribution)<0&&t.push(e.attribution)}}t=t.filter((t=>String(t).trim())),t.sort(((t,e)=>t.length-e.length)),t=t.filter(((e,r)=>{for(let n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}));const r=t.join(\" | \");r!==this._attribHTML&&(this._attribHTML=r,t.length?(this._innerContainer.innerHTML=r,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Ii{constructor(t={}){this._updateCompact=()=>{const t=this._container.children;if(t.length){const e=t[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1!==this._compact&&e.classList.add(\"maplibregl-compact\"):e.classList.remove(\"maplibregl-compact\")}},this.options=t}getDefaultPosition(){return\"bottom-left\"}onAdd(t){this._map=t,this._compact=this.options&&this.options.compact,this._container=o.create(\"div\",\"maplibregl-ctrl\");const e=o.create(\"a\",\"maplibregl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://maplibre.org/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){o.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Pi{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(t){const e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e}remove(t){const e=this._currentlyRunning,r=e?this._queue.concat(e):this._queue;for(const e of r)if(e.id===t)return void(e.cancelled=!0)}run(t=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");const e=this._currentlyRunning=this._queue;this._queue=[];for(const r of e)if(!r.cancelled&&(r.callback(t),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var zi=e.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class Oi extends e.E{constructor(t){super(),this.sourceCache=t,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,t.usedForTerrain=!0,t.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(t,r){this.sourceCache.update(t,r),this._renderableTilesKeys=[];const n={};for(const i of t.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:r}))n[i.key]=!0,this._renderableTilesKeys.push(i.key),this._tiles[i.key]||(i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),this._tiles[i.key]=new ht(i,this.tileSize));for(const t in this._tiles)n[t]||delete this._tiles[t]}freeRtt(t){for(const e in this._tiles){const r=this._tiles[e];(!t||r.tileID.equals(t)||r.tileID.isChildOf(t)||t.isChildOf(r.tileID))&&(r.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((t=>this.getTileByID(t)))}getTileByID(t){return this._tiles[t]}getTerrainCoords(t){const r={};for(const n of this._renderableTilesKeys){const i=this._tiles[n].tileID;if(i.canonical.equals(t.canonical)){const i=t.clone();i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),r[n]=i}else if(i.canonical.isChildOf(t.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=i.canonical.z-t.canonical.z,s=i.canonical.x-(i.canonical.x>>o<<o),l=i.canonical.y-(i.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,c,0,c,0,1),e.J(a.posMatrix,a.posMatrix,[-s*c,-l*c,0]),r[n]=a}else if(t.canonical.isChildOf(i.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=t.canonical.z-i.canonical.z,s=t.canonical.x-(t.canonical.x>>o<<o),l=t.canonical.y-(t.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,e.X,0,e.X,0,1),e.J(a.posMatrix,a.posMatrix,[s*c,l*c,0]),e.K(a.posMatrix,a.posMatrix,[1/2**o,1/2**o,0]),r[n]=a}}return r}getSourceTile(t,e){const r=this.sourceCache._source;let n=t.overscaledZ-this.deltaZoom;if(n>r.maxzoom&&(n=r.maxzoom),n<r.minzoom)return null;this._sourceTileCache[t.key]||(this._sourceTileCache[t.key]=t.scaledTo(n).key);let i=this.sourceCache.getTileByID(this._sourceTileCache[t.key]);if((!i||!i.dem)&&e)for(;n>=r.minzoom&&(!i||!i.dem);)i=this.sourceCache.getTileByID(t.scaledTo(n--).key);return i}tilesAfterTime(t=Date.now()){return Object.values(this._tiles).filter((e=>e.timeAdded>=t))}}class Di{constructor(t,e,r){this.painter=t,this.sourceCache=new Oi(e),this.options=r,this.exaggeration=\"number\"==typeof r.exaggeration?r.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(t,r,n,i=e.X){var a;if(!(r>=0&&r<i&&n>=0&&n<i))return 0;const o=this.getTerrainData(t),s=null===(a=o.tile)||void 0===a?void 0:a.dem;if(!s)return 0;const l=function(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t}([],[r/i*e.X,n/i*e.X],o.u_terrain_matrix),c=[l[0]*s.dim,l[1]*s.dim],u=Math.floor(c[0]),h=Math.floor(c[1]),f=c[0]-u,p=c[1]-h;return s.get(u,h)*(1-f)*(1-p)+s.get(u+1,h)*f*(1-p)+s.get(u,h+1)*(1-f)*p+s.get(u+1,h+1)*f*p}getElevationForLngLatZoom(t,r){const{tileID:n,mercatorX:i,mercatorY:a}=this._getOverscaledTileIDFromLngLatZoom(t,r);return this.getElevation(n,i%e.X,a%e.X,e.X)}getElevation(t,r,n,i=e.X){return this.getDEMElevation(t,r,n,i)*this.exaggeration}getTerrainData(t){if(!this._emptyDemTexture){const t=this.painter.context,r=new e.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new w(t,r,t.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new w(t,new e.R({width:1,height:1}),t.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=e.ao([])}const r=this.sourceCache.getSourceTile(t,!0);if(r&&r.dem&&(!r.demTexture||r.needsTerrainPrepare)){const t=this.painter.context;r.demTexture=this.painter.getTileTexture(r.dem.stride),r.demTexture?r.demTexture.update(r.dem.getPixels(),{premultiply:!1}):r.demTexture=new w(t,r.dem.getPixels(),t.gl.RGBA,{premultiply:!1}),r.demTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),r.needsTerrainPrepare=!1}const n=r&&r+r.tileID.key+t.key;if(n&&!this._demMatrixCache[n]){const n=this.sourceCache.sourceCache._source.maxzoom;let i=t.canonical.z-r.tileID.canonical.z;t.overscaledZ>t.canonical.z&&(t.canonical.z>=n?i=t.canonical.z-n:e.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));const a=t.canonical.x-(t.canonical.x>>i<<i),o=t.canonical.y-(t.canonical.y>>i<<i),s=e.bb(new Float64Array(16),[1/(e.X<<i),1/(e.X<<i),0]);e.J(s,s,[a*e.X,o*e.X,0]),this._demMatrixCache[t.key]={matrix:s,coord:t}}return{u_depth:2,u_terrain:3,u_terrain_dim:r&&r.dem&&r.dem.dim||1,u_terrain_matrix:n?this._demMatrixCache[t.key].matrix:this._emptyDemMatrix,u_terrain_unpack:r&&r.dem&&r.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(r&&r.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:r}}getFramebuffer(t){const e=this.painter,r=e.width/devicePixelRatio,n=e.height/devicePixelRatio;return!this._fbo||this._fbo.width===r&&this._fbo.height===n||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=e.context.createFramebuffer(r,n,!0,!1),this._fbo.depthAttachment.set(e.context.createRenderbuffer(e.context.gl.DEPTH_COMPONENT16,r,n))),this._fbo.colorAttachment.set(\"coords\"===t?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){const t=this.painter.context;if(this._coordsTexture)return this._coordsTexture;const r=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let t=0,e=0;t<this._coordsTextureSize;t++)for(let n=0;n<this._coordsTextureSize;n++,e+=4)r[e+0]=255&n,r[e+1]=255&t,r[e+2]=n>>8<<4|t>>8,r[e+3]=0;const n=new e.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(r.buffer)),i=new w(t,n,t.gl.RGBA,{premultiply:!1});return i.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._coordsTexture=i,i}pointCoordinate(t){this.painter.maybeDrawDepthAndCoords(!0);const r=new Uint8Array(4),n=this.painter.context,i=n.gl,a=Math.round(t.x*this.painter.pixelRatio/devicePixelRatio),o=Math.round(t.y*this.painter.pixelRatio/devicePixelRatio),s=Math.round(this.painter.height/devicePixelRatio);n.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),i.readPixels(a,s-o-1,1,1,i.RGBA,i.UNSIGNED_BYTE,r),n.bindFramebuffer.set(null);const l=r[0]+(r[2]>>4<<8),c=r[1]+((15&r[2])<<8),u=this.coordsIndex[255-r[3]],h=u&&this.sourceCache.getTileByID(u);if(!h)return null;const f=this._coordsTextureSize,p=(1<<h.tileID.canonical.z)*f;return new e.Z((h.tileID.canonical.x*f+l)/p+h.tileID.wrap,(h.tileID.canonical.y*f+c)/p,this.getElevation(h.tileID,l,c,f))}depthAtPoint(t){const e=new Uint8Array(4),r=this.painter.context,n=r.gl;return r.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),n.readPixels(t.x,this.painter.height/devicePixelRatio-t.y-1,1,1,n.RGBA,n.UNSIGNED_BYTE,e),r.bindFramebuffer.set(null),(e[0]/16777216+e[1]/65536+e[2]/256+e[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;const t=this.painter.context,r=new e.bc,n=new e.aY,i=this.meshSize,a=e.X/i,o=i*i;for(let t=0;t<=i;t++)for(let e=0;e<=i;e++)r.emplaceBack(e*a,t*a,0);for(let t=0;t<o;t+=i+1)for(let e=0;e<i;e++)n.emplaceBack(e+t,i+e+t+1,i+e+t+2),n.emplaceBack(e+t,i+e+t+2,e+t+1);const s=r.length,l=s+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(n*a,t*e.X,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(l+t,l+t+1,l+t+3),n.emplaceBack(l+t,l+t+3,l+t+2),n.emplaceBack(s+t,s+t+3,s+t+1),n.emplaceBack(s+t,s+t+2,s+t+3);const c=r.length,u=c+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(t*e.X,n*a,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(c+t,c+t+1,c+t+3),n.emplaceBack(c+t,c+t+3,c+t+2),n.emplaceBack(u+t,u+t+3,u+t+1),n.emplaceBack(u+t,u+t+2,u+t+3);return this._mesh=new wn(t.createVertexBuffer(r,zi.members),t.createIndexBuffer(n),e.a0.simpleSegment(0,0,r.length,n.length)),this._mesh}getMeshFrameDelta(t){return 2*Math.PI*e.bd/Math.pow(2,t)/5}getMinTileElevationForLngLatZoom(t,e){var r;const{tileID:n}=this._getOverscaledTileIDFromLngLatZoom(t,e);return null!==(r=this.getMinMaxElevation(n).minElevation)&&void 0!==r?r:0}getMinMaxElevation(t){const e=this.getTerrainData(t).tile,r={minElevation:null,maxElevation:null};return e&&e.dem&&(r.minElevation=e.dem.min*this.exaggeration,r.maxElevation=e.dem.max*this.exaggeration),r}_getOverscaledTileIDFromLngLatZoom(t,r){const n=e.Z.fromLngLat(t.wrap()),i=(1<<r)*e.X,a=n.x*i,o=n.y*i,s=Math.floor(a/e.X),l=Math.floor(o/e.X);return{tileID:new e.S(r,0,r,s,l),mercatorX:a,mercatorY:o}}}class Ri{constructor(t,e,r){this._context=t,this._size=e,this._tileSize=r,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(const t of this._objects)t.texture.destroy(),t.fbo.destroy()}_createObject(t){const e=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),r=new w(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return r.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),e.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),e.colorAttachment.set(r.texture),{id:t,fbo:e,texture:r,stamp:-1,inUse:!1}}getObjectForId(t){return this._objects[t]}useObject(t){t.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter((e=>t.id!==e)),this._recentlyUsed.push(t.id)}stampObject(t){t.stamp=++this._stamp}getOrCreateFreeObject(){for(const t of this._recentlyUsed)if(!this._objects[t].inUse)return this._objects[t];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");const t=this._createObject(this._objects.length);return this._objects.push(t),t}freeObject(t){t.inUse=!1}freeAllObjects(){for(const t of this._objects)this.freeObject(t)}isFull(){return!(this._objects.length<this._size)&&!1===this._objects.some((t=>!t.inUse))}}const Fi={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class Bi{constructor(t,e){this.painter=t,this.terrain=e,this.pool=new Ri(t.context,30,e.sourceCache.tileSize*e.qualityFactor)}destruct(){this.pool.destruct()}getTexture(t){return this.pool.getObjectForId(t.rtt[this._stacks.length-1].id).texture}prepareForRender(t,e){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=t._order.filter((r=>!t._layers[r].isHidden(e))),this._coordsDescendingInv={};for(const e in t.sourceCaches){this._coordsDescendingInv[e]={};const r=t.sourceCaches[e].getVisibleCoordinates();for(const t of r){const r=this.terrain.sourceCache.getTerrainCoords(t);for(const t in r)this._coordsDescendingInv[e][t]||(this._coordsDescendingInv[e][t]=[]),this._coordsDescendingInv[e][t].push(r[t])}}this._coordsDescendingInvStr={};for(const e of t._order){const r=t._layers[e],n=r.source;if(Fi[r.type]&&!this._coordsDescendingInvStr[n]){this._coordsDescendingInvStr[n]={};for(const t in this._coordsDescendingInv[n])this._coordsDescendingInvStr[n][t]=this._coordsDescendingInv[n][t].map((t=>t.key)).sort().join()}}for(const t of this._renderableTiles)for(const e in this._coordsDescendingInvStr){const r=this._coordsDescendingInvStr[e][t.tileID.key];r&&r!==t.rttCoords[e]&&(t.rtt=[])}}renderLayer(t){if(t.isHidden(this.painter.transform.zoom))return!1;const r=t.type,n=this.painter,i=this._renderableLayerIds[this._renderableLayerIds.length-1]===t.id;if(Fi[r]&&(this._prevType&&Fi[this._prevType]||this._stacks.push([]),this._prevType=r,this._stacks[this._stacks.length-1].push(t.id),!i))return!0;if(Fi[this._prevType]||Fi[r]&&i){this._prevType=r;const t=this._stacks.length-1,i=this._stacks[t]||[];for(const r of this._renderableTiles){if(this.pool.isFull()&&(bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(r),r.rtt[t]){const e=this.pool.getObjectForId(r.rtt[t].id);if(e.stamp===r.rtt[t].stamp){this.pool.useObject(e);continue}}const a=this.pool.getOrCreateFreeObject();this.pool.useObject(a),this.pool.stampObject(a),r.rtt[t]={id:a.id,stamp:a.stamp},n.context.bindFramebuffer.set(a.fbo.framebuffer),n.context.clear({color:e.aN.transparent,stencil:0}),n.currentStencilSource=void 0;for(let t=0;t<i.length;t++){const e=n.style._layers[i[t]],o=e.source?this._coordsDescendingInv[e.source][r.tileID.key]:[r.tileID];n.context.viewport.set([0,0,a.fbo.width,a.fbo.height]),n._renderTileClippingMasks(e,o),n.renderLayer(n,n.style.sourceCaches[e.source],e,o),e.source&&(r.rttCoords[e.source]=this._coordsDescendingInvStr[e.source][r.tileID.key])}}return bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Fi[r]}return!1}}const Ni={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use ⌘ + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ji=r,Ui={hash:!1,interactive:!0,bearingSnap:7,attributionControl:Ci,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:e.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0};const Vi=t=>{t.touchstart=t.dragStart,t.touchmoveWindow=t.dragMove,t.touchend=t.dragEnd},qi={showCompass:!0,showZoom:!0,visualizePitch:!1};class Hi{constructor(t,r,n=!1){this.mousedown=t=>{this.startMouse(e.e({},t,{ctrlKey:!0,preventDefault:()=>t.preventDefault()}),o.mousePos(this.element,t)),o.addEventListener(window,\"mousemove\",this.mousemove),o.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=t=>{this.moveMouse(t,o.mousePos(this.element,t))},this.mouseup=t=>{this.mouseRotate.dragEnd(t),this.mousePitch&&this.mousePitch.dragEnd(t),this.offTemp()},this.touchstart=t=>{1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.startTouch(t,this._startPos),o.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=t=>{1!==t.targetTouches.length?this.reset():(this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.moveTouch(t,this._lastPos))},this.touchend=t=>{0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;const i=t.dragRotate._mouseRotate.getClickTolerance(),a=t.dragRotate._mousePitch.getClickTolerance();this.element=r,this.mouseRotate=ei({clickTolerance:i,enable:!0}),this.touchRotate=(({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:i,enable:!0}),this.map=t,n&&(this.mousePitch=ri({clickTolerance:a,enable:!0}),this.touchPitch=(({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:a,enable:!0})),o.addEventListener(r,\"mousedown\",this.mousedown),o.addEventListener(r,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(r,\"touchcancel\",this.reset)}startMouse(t,e){this.mouseRotate.dragStart(t,e),this.mousePitch&&this.mousePitch.dragStart(t,e),o.disableDrag()}startTouch(t,e){this.touchRotate.dragStart(t,e),this.touchPitch&&this.touchPitch.dragStart(t,e),o.disableDrag()}moveMouse(t,e){const r=this.map,{bearingDelta:n}=this.mouseRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.mousePitch){const{pitchDelta:n}=this.mousePitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}moveTouch(t,e){const r=this.map,{bearingDelta:n}=this.touchRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.touchPitch){const{pitchDelta:n}=this.touchPitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}off(){const t=this.element;o.removeEventListener(t,\"mousedown\",this.mousedown),o.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend),o.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()}offTemp(){o.enableDrag(),o.removeEventListener(window,\"mousemove\",this.mousemove),o.removeEventListener(window,\"mouseup\",this.mouseup),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend)}}let Gi;function Zi(t,r,n){const i=new e.N(t.lng,t.lat);if(t=new e.N(t.lng,t.lat),r){const i=new e.N(t.lng-360,t.lat),a=new e.N(t.lng+360,t.lat),o=n.locationPoint(t).distSqr(r);n.locationPoint(i).distSqr(r)<o?t=i:n.locationPoint(a).distSqr(r)<o&&(t=a)}for(;Math.abs(t.lng-n.center.lng)>180;){const e=n.locationPoint(t);if(e.x>=0&&e.y>=0&&e.x<=n.width&&e.y<=n.height)break;t.lng>n.center.lng?t.lng-=360:t.lng+=360}return t.lng!==i.lng&&n.locationPoint(t).y>n.height/2-n.getHorizon()?t:i}const Wi={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 Yi(t,e,r){const n=t.classList;for(const t in Wi)n.remove(`maplibregl-${r}-anchor-${t}`);n.add(`maplibregl-${r}-anchor-${e}`)}class Xi extends e.E{constructor(t){if(super(),this._onKeyPress=t=>{const e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},this._onMapClick=t=>{const e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},this._update=t=>{var e;if(!this._map)return;const r=this._map.loaded()&&!this._map.isMoving();(\"terrain\"===(null==t?void 0:t.type)||\"render\"===(null==t?void 0:t.type)&&!r)&&this._map.once(\"render\",this._update),this._map.transform.renderWorldCopies?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let n=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?n=`rotateZ(${this._rotation}deg)`:\"map\"===this._rotationAlignment&&(n=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let i=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?i=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(i=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),o.setTransform(this._element,`${Wi[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${i} ${n}`),a.frameAsync(new AbortController).then((()=>{this._updateOpacity(t&&\"moveend\"===t.type)})).catch((()=>{}))},this._onMove=t=>{if(!this._isDragging){const e=this._clickTolerance||this._map._clickTolerance;this._isDragging=t.point.dist(this._pointerdownPos)>=e}this._isDragging&&(this._pos=t.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 e.k(\"dragstart\"))),this.fire(new e.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new e.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=t=>{this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},this._anchor=t&&t.anchor||\"center\",this._color=t&&t.color||\"#3FB1CE\",this._scale=t&&t.scale||1,this._draggable=t&&t.draggable||!1,this._clickTolerance=t&&t.clickTolerance||0,this._subpixelPositioning=t&&t.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=t&&t.rotation||0,this._rotationAlignment=t&&t.rotationAlignment||\"auto\",this._pitchAlignment=t&&t.pitchAlignment&&\"auto\"!==t.pitchAlignment?t.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(null==t?void 0:t.opacity,null==t?void 0:t.opacityWhenCovered),t&&t.element)this._element=t.element,this._offset=e.P.convert(t&&t.offset||[0,0]);else{this._defaultMarker=!0,this._element=o.create(\"div\");const r=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),n=41,i=27;r.setAttributeNS(null,\"display\",\"block\"),r.setAttributeNS(null,\"height\",`${n}px`),r.setAttributeNS(null,\"width\",`${i}px`),r.setAttributeNS(null,\"viewBox\",`0 0 ${i} ${n}`);const a=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");a.setAttributeNS(null,\"stroke\",\"none\"),a.setAttributeNS(null,\"stroke-width\",\"1\"),a.setAttributeNS(null,\"fill\",\"none\"),a.setAttributeNS(null,\"fill-rule\",\"evenodd\");const s=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");const l=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");const c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];for(const t of c){const e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");e.setAttributeNS(null,\"opacity\",\"0.04\"),e.setAttributeNS(null,\"cx\",\"10.5\"),e.setAttributeNS(null,\"cy\",\"5.80029008\"),e.setAttributeNS(null,\"rx\",t.rx),e.setAttributeNS(null,\"ry\",t.ry),l.appendChild(e)}const u=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"fill\",this._color);const h=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");h.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\"),u.appendChild(h);const f=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");f.setAttributeNS(null,\"opacity\",\"0.25\"),f.setAttributeNS(null,\"fill\",\"#000000\");const p=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");p.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\"),f.appendChild(p);const d=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),d.setAttributeNS(null,\"fill\",\"#FFFFFF\");const m=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");const g=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");g.setAttributeNS(null,\"fill\",\"#000000\"),g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"cx\",\"5.5\"),g.setAttributeNS(null,\"cy\",\"5.5\"),g.setAttributeNS(null,\"r\",\"5.4999962\");const y=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");y.setAttributeNS(null,\"fill\",\"#FFFFFF\"),y.setAttributeNS(null,\"cx\",\"5.5\"),y.setAttributeNS(null,\"cy\",\"5.5\"),y.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(g),m.appendChild(y),s.appendChild(l),s.appendChild(u),s.appendChild(f),s.appendChild(d),s.appendChild(m),r.appendChild(s),r.setAttributeNS(null,\"height\",n*this._scale+\"px\"),r.setAttributeNS(null,\"width\",i*this._scale+\"px\"),this._element.appendChild(r),this._offset=e.P.convert(t&&t.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(t=>{t.preventDefault()})),this._element.addEventListener(\"mousedown\",(t=>{t.preventDefault()})),Yi(this._element,this._anchor,\"marker\"),t&&t.className)for(const e of t.className.split(\" \"))this._element.classList.add(e);this._popup=null}addTo(t){return this.remove(),this._map=t,this._element.setAttribute(\"aria-label\",t._getUIString(\"Marker.Title\")),t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),t.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),o.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(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)){const e=38.1,r=13.5,n=Math.abs(r)/Math.SQRT2;t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-e],\"bottom-left\":[n,-1*(e-r+n)],\"bottom-right\":[-n,-1*(e-r+n)],left:[r,-1*(e-r)],right:[-r,-1*(e-r)]}:this._offset}this._popup=t,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(t){return this._subpixelPositioning=t,this}getPopup(){return this._popup}togglePopup(){const t=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:t?(t.isOpen()?t.remove():(t.setLngLat(this._lngLat),t.addTo(this._map)),this):this}_updateOpacity(t=!1){var r,n;if(!(null===(r=this._map)||void 0===r?void 0:r.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(t)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}const i=this._map,a=i.terrain.depthAtPoint(this._pos),o=i.terrain.getElevationForLngLatZoom(this._lngLat,i.transform.tileZoom);if(i.transform.lngLatToCameraDepth(this._lngLat,o)-a<.006)return void(this._element.style.opacity=this._opacity);const s=-this._offset.y/i.transform._pixelPerMeter,l=Math.sin(i.getPitch()*Math.PI/180)*s,c=i.terrain.depthAtPoint(new e.P(this._pos.x,this._pos.y-this._offset.y)),u=i.transform.lngLatToCameraDepth(this._lngLat,o+l)-c>.006;(null===(n=this._popup)||void 0===n?void 0:n.isOpen())&&u&&this._popup.remove(),this._element.style.opacity=u?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(t){return this._offset=e.P.convert(t),this._update(),this}addClassName(t){this._element.classList.add(t)}removeClassName(t){this._element.classList.remove(t)}toggleClassName(t){return this._element.classList.toggle(t)}setDraggable(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}isDraggable(){return this._draggable}setRotation(t){return this._rotation=t||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(t){return this._rotationAlignment=t||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(t,e){return void 0===t&&void 0===e&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),void 0!==t&&(this._opacity=t),void 0!==e&&(this._opacityWhenCovered=e),this._map&&this._updateOpacity(!0),this}}const $i={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};let Ji=0,Ki=!1;class Qi extends e.E{constructor(t){super(),this._onSuccess=t=>{if(this._map){if(this._isOutOfMapMaxBounds(t))return this._setErrorState(),this.fire(new e.k(\"outofmaxbounds\",t)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=t,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(t),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(t),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"geolocate\",t)),this._finish()}},this._updateCamera=t=>{const r=new e.N(t.coords.longitude,t.coords.latitude),n=t.coords.accuracy,i=this._map.getBearing(),a=e.e({bearing:i},this.options.fitBoundsOptions),o=X.fromLngLat(r,n);this._map.fitBounds(o,a,{geolocateSource:!0})},this._updateMarker=t=>{if(t){const r=new e.N(t.coords.longitude,t.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=t.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=t=>{if(this._map){if(this.options.trackUserLocation)if(1===t.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===t.code&&Ki)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"error\",t)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this._geolocateButton=o.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),o.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=t=>{if(this._map){if(!1===t){e.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}else{const t=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Xi({element:this._dotElement}),this._circleElement=o.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Xi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(t=>{const r=t.originalEvent&&\"resize\"===t.originalEvent.type;t.geolocateSource||\"ACTIVE_LOCK\"!==this._watchState||r||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new e.k(\"trackuserlocationend\")),this.fire(new e.k(\"userlocationlostfocus\")))}))}},this.options=e.e({},$i,t)}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return e._(this,arguments,void 0,(function*(t=!1){if(void 0!==Gi&&!t)return Gi;if(void 0===window.navigator.permissions)return Gi=!!window.navigator.geolocation,Gi;try{const t=yield window.navigator.permissions.query({name:\"geolocation\"});Gi=\"denied\"!==t.state}catch(t){Gi=!!window.navigator.geolocation}return Gi}))}().then((t=>this._finishSetupUI(t))),this._container}onRemove(){void 0!==this._geolocationWatchID&&(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(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ji=0,Ki=!1}_isOutOfMapMaxBounds(t){const 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())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){const t=this._map.getBounds(),e=t.getSouthEast(),r=t.getNorthEast(),n=e.distanceTo(r),i=this._map._container.clientHeight,a=Math.ceil(this._accuracy/(n/i)*2);this._circleElement.style.width=`${a}px`,this._circleElement.style.height=`${a}px`}trigger(){if(!this._setup)return e.w(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new e.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ji--,Ki=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new e.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new e.k(\"trackuserlocationstart\")),this.fire(new e.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){let t;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Ji++,Ji>1?(t={maximumAge:6e5,timeout:0},Ki=!0):(t=this.options.positionOptions,Ki=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,t)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}}const ta={maxWidth:100,unit:\"metric\"};function ea(t,e,r){const n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){const r=3.2808*s;r>5280?ra(e,n,r/5280,t._getUIString(\"ScaleControl.Miles\")):ra(e,n,r,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ra(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ra(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ra(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ra(t,e,r,n){const i=function(t){const e=Math.pow(10,`${Math.floor(t)}`.length-1);let r=t/e;return r=r>=10?10:r>=5?5:r>=3?3:r>=2?2:r>=1?1:function(t){const e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(r),e*r}(r),a=i/r;t.style.width=e*a+\"px\",t.innerHTML=`${i}&nbsp;${n}`}class na extends e.E{constructor(t={}){super(),this._onFullscreenChange=()=>{var t;let e=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;null===(t=null==e?void 0:e.shadowRoot)||void 0===t?void 0:t.fullscreenElement;)e=e.shadowRoot.fullscreenElement;e===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,t&&t.container&&(t.container instanceof HTMLElement?this._container=t.container:e.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(t){return this._map=t,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){o.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){const t=this._fullscreenButton=o.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"maplibregl-ctrl-icon\",t).setAttribute(\"aria-hidden\",\"true\"),t.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){const t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new e.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new e.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}}const ia={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},aa=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");class oa extends e.E{constructor(t){super(),this.remove=()=>(this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new e.k(\"close\"))),this),this._onMouseUp=t=>{this._update(t.point)},this._onMouseMove=t=>{this._update(t.point)},this._onDrag=t=>{this._update(t.point)},this._update=t=>{var e;const r=this._lngLat||this._trackPointer;if(!this._map||!r||!this._content)return;if(!this._container){if(this._container=o.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(const t of this.options.className.split(\" \"))this._container.classList.add(t);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._trackPointer&&!t)return;const n=this._flatPos=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&t?t:this._map.transform.locationPoint(this._lngLat));let i=this.options.anchor;const a=sa(this.options.offset);if(!i){const t=this._container.offsetWidth,e=this._container.offsetHeight;let r;r=n.y+a.bottom.y<e?[\"top\"]:n.y>this._map.transform.height-e?[\"bottom\"]:[],n.x<t/2?r.push(\"left\"):n.x>this._map.transform.width-t/2&&r.push(\"right\"),i=0===r.length?\"bottom\":r.join(\"-\")}let s=n.add(a[i]);this.options.subpixelPositioning||(s=s.round()),o.setTransform(this._container,`${Wi[i]} translate(${s.x}px,${s.y}px)`),Yi(this._container,i,\"popup\")},this._onClose=()=>{this.remove()},this.options=e.e(Object.create(ia),t)}addTo(t){return this._map&&this.remove(),this._map=t,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new e.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(t){return this.setDOMContent(document.createTextNode(t))}setHTML(t){const e=document.createDocumentFragment(),r=document.createElement(\"body\");let n;for(r.innerHTML=t;n=r.firstChild,n;)e.appendChild(n);return this.setDOMContent(e)}getMaxWidth(){var t;return null===(t=this._container)||void 0===t?void 0:t.style.maxWidth}setMaxWidth(t){return this.options.maxWidth=t,this._update(),this}setDOMContent(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(t){return this._container&&this._container.classList.add(t),this}removeClassName(t){return this._container&&this._container.classList.remove(t),this}setOffset(t){return this.options.offset=t,this._update(),this}toggleClassName(t){if(this._container)return this._container.classList.toggle(t)}setSubpixelPositioning(t){this.options.subpixelPositioning=t}_createCloseButton(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;const t=this._container.querySelector(aa);t&&t.focus()}}function sa(t){if(t){if(\"number\"==typeof t){const r=Math.round(Math.abs(t)/Math.SQRT2);return{center:new e.P(0,0),top:new e.P(0,t),\"top-left\":new e.P(r,r),\"top-right\":new e.P(-r,r),bottom:new e.P(0,-t),\"bottom-left\":new e.P(r,-r),\"bottom-right\":new e.P(-r,-r),left:new e.P(t,0),right:new e.P(-t,0)}}if(t instanceof e.P||Array.isArray(t)){const r=e.P.convert(t);return{center:r,top:r,\"top-left\":r,\"top-right\":r,bottom:r,\"bottom-left\":r,\"bottom-right\":r,left:r,right:r}}return{center:e.P.convert(t.center||[0,0]),top:e.P.convert(t.top||[0,0]),\"top-left\":e.P.convert(t[\"top-left\"]||[0,0]),\"top-right\":e.P.convert(t[\"top-right\"]||[0,0]),bottom:e.P.convert(t.bottom||[0,0]),\"bottom-left\":e.P.convert(t[\"bottom-left\"]||[0,0]),\"bottom-right\":e.P.convert(t[\"bottom-right\"]||[0,0]),left:e.P.convert(t.left||[0,0]),right:e.P.convert(t.right||[0,0])}}return sa(new e.P(0,0))}const la=r;t.AJAXError=e.bg,t.Evented=e.E,t.LngLat=e.N,t.MercatorCoordinate=e.Z,t.Point=e.P,t.addProtocol=e.bh,t.config=e.a,t.removeProtocol=e.bi,t.AttributionControl=Li,t.BoxZoomHandler=Gn,t.CanvasSource=it,t.CooperativeGesturesHandler=Ti,t.DoubleClickZoomHandler=yi,t.DragPanHandler=_i,t.DragRotateHandler=bi,t.EdgeInsets=Mn,t.FullscreenControl=na,t.GeoJSONSource=tt,t.GeolocateControl=Qi,t.Hash=Ln,t.ImageSource=rt,t.KeyboardHandler=pi,t.LngLatBounds=X,t.LogoControl=Ii,t.Map=class extends Ei{constructor(t){e.be.mark(e.bf.create);const r=Object.assign(Object.assign({},Ui),t);if(null!=r.minZoom&&null!=r.maxZoom&&r.minZoom>r.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=r.minPitch&&null!=r.maxPitch&&r.minPitch>r.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=r.minPitch&&r.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=r.maxPitch&&r.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new En(r.minZoom,r.maxZoom,r.minPitch,r.maxPitch,r.renderWorldCopies),{bearingSnap:r.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Pi,this._controls=[],this._mapId=e.a4(),this._contextLost=t=>{t.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new e.k(\"webglcontextlost\",{originalEvent:t}))},this._contextRestored=t=>{this._setupPainter(),this.resize(),this._update(),this.fire(new e.k(\"webglcontextrestored\",{originalEvent:t}))},this._onMapScroll=t=>{if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=r.interactive,this._maxTileCacheSize=r.maxTileCacheSize,this._maxTileCacheZoomLevels=r.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=!0===r.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=!0===r.preserveDrawingBuffer,this._antialias=!0===r.antialias,this._trackResize=!0===r.trackResize,this._bearingSnap=r.bearingSnap,this._refreshExpiredTiles=!0===r.refreshExpiredTiles,this._fadeDuration=r.fadeDuration,this._crossSourceCollisions=!0===r.crossSourceCollisions,this._collectResourceTiming=!0===r.collectResourceTiming,this._locale=Object.assign(Object.assign({},Ni),r.locale),this._clickTolerance=r.clickTolerance,this._overridePixelRatio=r.pixelRatio,this._maxCanvasSize=r.maxCanvasSize,this.transformCameraUpdate=r.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=!0===r.cancelPendingTileRequestsWhileZooming,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new d(r.transformRequest),\"string\"==typeof r.container){if(this._container=document.getElementById(r.container),!this._container)throw new Error(`Container '${r.container}' not found.`)}else{if(!(r.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=r.container}if(r.maxBounds&&this.setMaxBounds(r.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),\"undefined\"!=typeof window){addEventListener(\"online\",this._onWindowOnline,!1);let t=!1;const e=Cn((t=>{this._trackResize&&!this._removed&&this.resize(t)._update()}),50);this._resizeObserver=new ResizeObserver((r=>{t?e(r):t=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Si(this,r);const n=\"string\"==typeof r.hash&&r.hash||void 0;this._hash=r.hash&&new Ln(n).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:r.center,zoom:r.zoom,bearing:r.bearing,pitch:r.pitch}),r.bounds&&(this.resize(),this.fitBounds(r.bounds,e.e({},r.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=r.localIdeographFontFamily,this._validateStyle=r.validateStyle,r.style&&this.setStyle(r.style,{localIdeographFontFamily:r.localIdeographFontFamily}),r.attributionControl&&this.addControl(new Li(\"boolean\"==typeof r.attributionControl?void 0:r.attributionControl)),r.maplibreLogo&&this.addControl(new Ii,r.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(t=>{this._update(\"style\"===t.dataType),this.fire(new e.k(`${t.dataType}data`,t))})),this.on(\"dataloading\",(t=>{this.fire(new e.k(`${t.dataType}dataloading`,t))})),this.on(\"dataabort\",(t=>{this.fire(new e.k(\"sourcedataabort\",t))}))}_getMapId(){return this._mapId}addControl(t,r){if(void 0===r&&(r=t.getDefaultPosition?t.getDefaultPosition():\"top-right\"),!t||!t.onAdd)return this.fire(new e.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));const n=t.onAdd(this);this._controls.push(t);const i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this}removeControl(t){if(!t||!t.onRemove)return this.fire(new e.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));const r=this._controls.indexOf(t);return r>-1&&this._controls.splice(r,1),t.onRemove(this),this}hasControl(t){return this._controls.indexOf(t)>-1}calculateCameraOptionsFromTo(t,e,r,n){return null==n&&this.terrain&&(n=this.terrain.getElevationForLngLatZoom(r,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(t,e,r,n)}resize(t){var r;const n=this._containerDimensions(),i=n[0],a=n[1],o=this._getClampedPixelRatio(i,a);if(this._resizeCanvas(i,a,o),this.painter.resize(i,a,o),this.painter.overLimit()){const t=this.painter.context.gl;this._maxCanvasSize=[t.drawingBufferWidth,t.drawingBufferHeight];const e=this._getClampedPixelRatio(i,a);this._resizeCanvas(i,a,e),this.painter.resize(i,a,e)}this.transform.resize(i,a),null===(r=this._requestedCameraState)||void 0===r||r.resize(i,a);const s=!this._moving;return s&&(this.stop(),this.fire(new e.k(\"movestart\",t)).fire(new e.k(\"move\",t))),this.fire(new e.k(\"resize\",t)),s&&this.fire(new e.k(\"moveend\",t)),this}_getClampedPixelRatio(t,e){const{0:r,1:n}=this._maxCanvasSize,i=this.getPixelRatio(),a=t*i,o=e*i,s=a>r?r/a:1,l=o>n?n/o:1;return Math.min(s,l)*i}getPixelRatio(){var t;return null!==(t=this._overridePixelRatio)&&void 0!==t?t:devicePixelRatio}setPixelRatio(t){this._overridePixelRatio=t,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(t){return this.transform.setMaxBounds(X.convert(t)),this._update()}setMinZoom(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\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(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\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(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\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(t){if((t=null==t?60:t)>85)throw new Error(\"maxPitch must be less than or equal to 85\");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\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(t){return this.transform.renderWorldCopies=t,this._update()}project(t){return this.transform.locationPoint(e.N.convert(t),this.style&&this.terrain)}unproject(t){return this.transform.pointLocation(e.P.convert(t),this.terrain)}isMoving(){var t;return this._moving||(null===(t=this.handlers)||void 0===t?void 0:t.isMoving())}isZooming(){var t;return this._zooming||(null===(t=this.handlers)||void 0===t?void 0:t.isZooming())}isRotating(){var t;return this._rotating||(null===(t=this.handlers)||void 0===t?void 0:t.isRotating())}_createDelegatedListener(t,e,r){if(\"mouseenter\"===t||\"mouseover\"===t){let n=!1;const i=i=>{const a=this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[];a.length?n||(n=!0,r.call(this,new Nn(t,this,i.originalEvent,{features:a}))):n=!1};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:()=>{n=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){let n=!1;const i=i=>{(this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[]).length?n=!0:n&&(n=!1,r.call(this,new Nn(t,this,i.originalEvent)))},a=e=>{n&&(n=!1,r.call(this,new Nn(t,this,e.originalEvent)))};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:a}}}{const n=t=>{const n=this.getLayer(e)?this.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(this,t),delete t.features)};return{layer:e,listener:r,delegates:{[t]:n}}}}on(t,e,r){if(void 0===r)return super.on(t,e);const n=this._createDelegatedListener(t,e,r);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(n);for(const t in n.delegates)this.on(t,n.delegates[t]);return this}once(t,e,r){if(void 0===r)return super.once(t,e);const n=this._createDelegatedListener(t,e,r);for(const t in n.delegates)this.once(t,n.delegates[t]);return this}off(t,e,r){if(void 0===r)return super.off(t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&(n=>{const i=n[t];for(let t=0;t<i.length;t++){const n=i[t];if(n.layer===e&&n.listener===r){for(const t in n.delegates)this.off(t,n.delegates[t]);return i.splice(t,1),this}}})(this._delegatedListeners),this}queryRenderedFeatures(t,r){if(!this.style)return[];let n;const i=t instanceof e.P||Array.isArray(t),a=i?t:[[0,0],[this.transform.width,this.transform.height]];if(r=r||(i?{}:t)||{},a instanceof e.P||\"number\"==typeof a[0])n=[e.P.convert(a)];else{const t=e.P.convert(a[0]),r=e.P.convert(a[1]);n=[t,new e.P(r.x,t.y),r,new e.P(t.x,r.y),t]}return this.style.queryRenderedFeatures(n,r,this.transform)}querySourceFeatures(t,e){return this.style.querySourceFeatures(t,e)}setStyle(t,r){return!1!==(r=e.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&t?(this._diffStyle(t,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(t,r))}setTransformRequest(t){return this._requestManager.setTransformRequest(t),this}_getUIString(t){const e=this._locale[t];if(null==e)throw new Error(`Missing UI string '${t}'`);return e}_updateStyle(t,e){if(e.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(t,e)));const r=this.style&&e.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!t)),t?(this.style=new de(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t,e,r):this.style.loadJSON(t,e,r),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new de(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(t,r){if(\"string\"==typeof t){const n=t,i=this._requestManager.transformRequest(n,\"Style\");e.h(i,new AbortController).then((t=>{this._updateDiff(t.data,r)})).catch((t=>{t&&this.fire(new e.j(t))}))}else\"object\"==typeof t&&this._updateDiff(t,r)}_updateDiff(t,r){try{this.style.setState(t,r)&&this._update(!0)}catch(n){e.w(`Unable to perform style diff: ${n.message||n.error||n}.  Rebuilding the style from scratch.`),this._updateStyle(t,r)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():e.w(\"There is no style added to the map.\")}addSource(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)}isSourceLoaded(t){const r=this.style&&this.style.sourceCaches[t];if(void 0!==r)return r.loaded();this.fire(new e.j(new Error(`There is no source with ID '${t}'`)))}setTerrain(t){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),t){const r=this.style.sourceCaches[t.source];if(!r)throw new Error(`cannot load terrain, because there exists no source with ID: ${t.source}`);null===this.terrain&&r.reload();for(const r in this.style._layers){const n=this.style._layers[r];\"hillshade\"===n.type&&n.source===t.source&&e.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Di(this.painter,r,t),this.painter.renderToTexture=new Bi(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=e=>{\"style\"===e.dataType?this.terrain.sourceCache.freeRtt():\"source\"===e.dataType&&e.tile&&(e.sourceId!==t.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(e.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new e.k(\"terrain\",{terrain:t})),this}getTerrain(){var t,e;return null!==(e=null===(t=this.terrain)||void 0===t?void 0:t.options)&&void 0!==e?e:null}areTilesLoaded(){const t=this.style&&this.style.sourceCaches;for(const e in t){const r=t[e]._tiles;for(const t in r){const e=r[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}}return!0}removeSource(t){return this.style.removeSource(t),this._update(!0)}getSource(t){return this.style.getSource(t)}addImage(t,r,n={}){const{pixelRatio:i=1,sdf:o=!1,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h}=n;this._lazyInitEmptyStyle();if(!(r instanceof HTMLImageElement||e.b(r))){if(void 0===r.width||void 0===r.height)return this.fire(new e.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{const{width:n,height:a,data:f}=r,p=r;return this.style.addImage(t,{data:new e.R({width:n,height:a},new Uint8Array(f)),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0,userImage:p}),p.onAdd&&p.onAdd(this,t),this}}{const{width:n,height:f,data:p}=a.getImageData(r);this.style.addImage(t,{data:new e.R({width:n,height:f},p),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0})}}updateImage(t,r){const n=this.style.getImage(t);if(!n)return this.fire(new e.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));const i=r instanceof HTMLImageElement||e.b(r)?a.getImageData(r):r,{width:o,height:s,data:l}=i;if(void 0===o||void 0===s)return this.fire(new e.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(o!==n.data.width||s!==n.data.height)return this.fire(new e.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));const c=!(r instanceof HTMLImageElement||e.b(r));return n.data.replace(l,c),this.style.updateImage(t,n),this}getImage(t){return this.style.getImage(t)}hasImage(t){return t?!!this.style.getImage(t):(this.fire(new e.j(new Error(\"Missing required image id\"))),!1)}removeImage(t){this.style.removeImage(t)}loadImage(t){return p.getImage(this._requestManager.transformRequest(t,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)}moveLayer(t,e){return this.style.moveLayer(t,e),this._update(!0)}removeLayer(t){return this.style.removeLayer(t),this._update(!0)}getLayer(t){return this.style.getLayer(t)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)}setFilter(t,e,r={}){return this.style.setFilter(t,e,r),this._update(!0)}getFilter(t){return this.style.getFilter(t)}setPaintProperty(t,e,r,n={}){return this.style.setPaintProperty(t,e,r,n),this._update(!0)}getPaintProperty(t,e){return this.style.getPaintProperty(t,e)}setLayoutProperty(t,e,r,n={}){return this.style.setLayoutProperty(t,e,r,n),this._update(!0)}getLayoutProperty(t,e){return this.style.getLayoutProperty(t,e)}setGlyphs(t,e={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(t,e),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(t,e,r={}){return this._lazyInitEmptyStyle(),this.style.addSprite(t,e,r,(t=>{t||this._update(!0)})),this}removeSprite(t){return this._lazyInitEmptyStyle(),this.style.removeSprite(t),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(t,e={}){return this._lazyInitEmptyStyle(),this.style.setSprite(t,e,(t=>{t||this._update(!0)})),this}setLight(t,e={}){return this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)}getLight(){return this.style.getLight()}setSky(t){return this._lazyInitEmptyStyle(),this.style.setSky(t),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(t,e){return this.style.setFeatureState(t,e),this._update()}removeFeatureState(t,e){return this.style.removeFeatureState(t,e),this._update()}getFeatureState(t){return this.style.getFeatureState(t)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]}_setupContainer(){const t=this._container;t.classList.add(\"maplibregl-map\");const e=this._canvasContainer=o.create(\"div\",\"maplibregl-canvas-container\",t);this._interactive&&e.classList.add(\"maplibregl-interactive\"),this._canvas=o.create(\"canvas\",\"maplibregl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");const r=this._containerDimensions(),n=this._getClampedPixelRatio(r[0],r[1]);this._resizeCanvas(r[0],r[1],n);const i=this._controlContainer=o.create(\"div\",\"maplibregl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((t=>{a[t]=o.create(\"div\",`maplibregl-ctrl-${t} `,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(t,e,r){this._canvas.width=Math.floor(r*t),this._canvas.height=Math.floor(r*e),this._canvas.style.width=`${t}px`,this._canvas.style.height=`${e}px`}_setupPainter(){const t={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1};let e=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(r=>{e={requestedAttributes:t},r&&(e.statusMessage=r.statusMessage,e.type=r.type)}),{once:!0});const r=this._canvas.getContext(\"webgl2\",t)||this._canvas.getContext(\"webgl\",t);if(!r){const t=\"Failed to initialize WebGL\";throw e?(e.message=t,new Error(JSON.stringify(e))):new Error(t)}this.painter=new Tn(r,this.transform),s.testSupport(r)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(t){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(t){return this._update(),this._renderTaskQueue.add(t)}_cancelRenderFrame(t){this._renderTaskQueue.remove(t)}_render(t){const r=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(t),this._removed)return;let n=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;const t=this.transform.zoom,i=a.now();this.style.zoomHistory.update(t,i);const o=new e.a9(t,{now:i,fadeDuration:r,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),s=o.crossFadingFactor();1===s&&s===this._crossFadingFactor||(n=!0,this._crossFadingFactor=s),this.style.update(o)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,r,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:r,showPadding:this.showPadding}),this.fire(new e.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,e.be.mark(e.bf.load),this.fire(new e.k(\"load\"))),this.style&&(this.style.hasTransitions()||n)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();const i=this._sourcesDirty||this._styleDirty||this._placementDirty;return i||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new e.k(\"idle\")),!this._loaded||this._fullyLoaded||i||(this._fullyLoaded=!0,e.be.mark(e.bf.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var t;this._hash&&this._hash.remove();for(const t of this._controls)t.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),\"undefined\"!=typeof window&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),null===(t=this._resizeObserver)||void 0===t||t.disconnect();const r=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");(null==r?void 0:r.loseContext)&&r.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),o.remove(this._canvasContainer),o.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),e.be.clearMetrics(),this._removed=!0,this.fire(new e.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((t=>{e.be.frame(t),this._frameRequest=null,this._render(t)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())}get showPadding(){return!!this._showPadding}set showPadding(t){this._showPadding!==t&&(this._showPadding=t,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())}get repaint(){return!!this._repaint}set repaint(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(t){this._vertices=t,this._update()}get version(){return ji}getCameraTargetElevation(){return this.transform.elevation}},t.MapMouseEvent=Nn,t.MapTouchEvent=jn,t.MapWheelEvent=Un,t.Marker=Xi,t.NavigationControl=class{constructor(t){this._updateZoomButtons=()=>{const t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},this._rotateCompassArrow=()=>{const 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},this._setButtonTitle=(t,e)=>{const r=this._map._getUIString(`NavigationControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)},this.options=e.e({},qi,t),this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(t=>this._map.zoomIn({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(t=>this._map.zoomOut({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(t=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:t}):this._map.resetNorth({},{originalEvent:t})})),this._compassIcon=o.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(t){return 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     "name": "stdout",
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     "text": [
      "\n",
      "\n",
      "Model           Dataset         Acc (%)    Prec (%)   Rec (%)    F1 (%)     AUC (%)    PRC (%)    Time (s)    \n",
      "LightGBM        Testing         68.519     69.432     68.519     67.591     92.997     76.304     45.128478   \n"
     ]
    }
   ],
   "source": [
    "# Load saved model and test on test set with timing and metrics\n",
    "print(\"Loading saved model...\")\n",
    "model_load_start_time = perf_counter()\n",
    "model_path = \"saved_model_baseline/lightgbm_model.pkl\"\n",
    "with open(model_path, 'rb') as f:\n",
    "    loaded_model = pickle.load(f)\n",
    "model_load_end_time = perf_counter()\n",
    "model_load_time = model_load_end_time - model_load_start_time\n",
    "\n",
    "# Load model info (read-only, no updates)\n",
    "with open(\"saved_model_baseline/lightgbm_model_info.json\", 'r') as f:\n",
    "    model_info = json.load(f)\n",
    "\n",
    "print(\"Model loaded successfully!\")\n",
    "print(f\"Model loading time: {model_load_time:.6f} seconds\")\n",
    "print(f\"Model type: {model_info['model_type']}\")\n",
    "print(f\"Number of features: {model_info['num_features']}\")\n",
    "print(f\"Number of classes: {model_info['num_classes']}\")\n",
    "print(f\"Best iteration: {model_info['best_iteration']}\")\n",
    "\n",
    "# Get label encoder classes\n",
    "class_names = np.array(model_info['class_names'])\n",
    "\n",
    "# Predict on test set with timing\n",
    "print(\"\\nPredicting on test set...\")\n",
    "test_pred_start_time = perf_counter()\n",
    "y_test_pred_proba = loaded_model.predict(X_test)\n",
    "test_pred_end_time = perf_counter()\n",
    "test_evaluation_time = test_pred_end_time - test_pred_start_time\n",
    "\n",
    "y_test_pred = np.argmax(y_test_pred_proba, axis=1)\n",
    "\n",
    "# Evaluate Test with timing (prints metrics + draws curves)\n",
    "test_metrics = evaluate_multiclass(\n",
    "    y_test,\n",
    "    y_test_pred_proba,\n",
    "    set_name=\"Test\",\n",
    "    class_names=class_names,\n",
    "    plot_curves=True,\n",
    "    evaluation_time=test_evaluation_time,\n",
    ")\n",
    "\n",
    "# Convert predictions back to original labels for reporting & confusion matrix\n",
    "y_test_labels = [class_names[idx] for idx in y_test]\n",
    "y_test_pred_labels = [class_names[idx] for idx in y_test_pred]\n",
    "\n",
    "# Additional summary\n",
    "print(\"\\n=== FINAL TEST RESULTS ===\")\n",
    "print(f\"Test accuracy: {accuracy_score(y_test, y_test_pred):.4f}\")\n",
    "print(\"\\nTest Classification Report:\")\n",
    "print(classification_report(y_test_labels, y_test_pred_labels))\n",
    "\n",
    "# Confusion Matrix - Using Plotly like dashboard.py\n",
    "print(\"\\n=== CONFUSION MATRIX ===\")\n",
    "cm = confusion_matrix(y_test, y_test_pred)\n",
    "\n",
    "# FUNGSI BARU: Membuat label teks kustom agar pendek dan rapi\n",
    "custom_text_labels = []\n",
    "for row in cm:\n",
    "    row_text = []\n",
    "    for val in row:\n",
    "        if val == 0:\n",
    "            row_text.append(\"\")  # Kosongkan jika 0 (supaya bersih)\n",
    "        elif val >= 1000:\n",
    "            row_text.append(f\"{val/1000:.1f}k\")  # Contoh: 21622 -> 21.6k\n",
    "        else:\n",
    "            row_text.append(str(int(val)))  # Contoh: 5.0 -> 5\n",
    "    custom_text_labels.append(row_text)\n",
    "\n",
    "# Membuat plot dengan Plotly\n",
    "fig_cm = px.imshow(\n",
    "    cm,\n",
    "    title=\"Confusion Matrix - Test Set\",\n",
    "    labels=dict(x=\"Predicted\", y=\"Actual\"),\n",
    "    x=class_names,\n",
    "    y=class_names,\n",
    "    color_continuous_scale=\"Blues\",\n",
    ")\n",
    "\n",
    "# Terapkan label kustom yang sudah kita buat\n",
    "fig_cm.update_traces(\n",
    "    text=custom_text_labels,\n",
    "    texttemplate=\"%{text}\",  # Memaksa pakai format teks kita\n",
    "    textfont_size=9          # Ukuran font sedikit dikecilkan\n",
    ")\n",
    "\n",
    "# Perbesar ukuran layout agar kotak tidak sempit\n",
    "fig_cm.update_layout(\n",
    "    width=1000,   # Diperlebar dari 800\n",
    "    height=1000,  # Dipertinggi dari 800\n",
    "    margin=dict(l=150, r=50, t=80, b=150),\n",
    "    xaxis=dict(tickangle=-45, automargin=True),\n",
    "    yaxis=dict(tickangle=0, automargin=True),\n",
    "    coloraxis_colorbar=dict(\n",
    "        len=0.8,\n",
    "        thickness=15,\n",
    "        x=1.02,\n",
    "        xanchor=\"left\",\n",
    "        y=0.5,\n",
    "        yanchor=\"middle\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "fig_cm.show()\n",
    "\n",
    "# Display complete performance summary table (no file updates)\n",
    "print(\"\\n\")\n",
    "print(f\"{'Model':<15} {'Dataset':<15} {'Acc (%)':<10} {'Prec (%)':<10} {'Rec (%)':<10} {'F1 (%)':<10} {'AUC (%)':<10} {'PRC (%)':<10} {'Time (s)':<12}\")\n",
    "print(\n",
    "    f\"{'LightGBM':<15} {'Testing':<15} \"\n",
    "    f\"{test_metrics['accuracy']*100:<10.3f} \"\n",
    "    f\"{test_metrics['precision_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics['recall_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics['f1_weighted']*100:<10.3f} \"\n",
    "    f\"{(test_metrics['auroc_weighted_ovr']*100 if test_metrics['auroc_weighted_ovr'] else 0):<10.3f} \"\n",
    "    f\"{(test_metrics['auprc_weighted']*100 if test_metrics['auprc_weighted'] else 0):<10.3f} \"\n",
    "    f\"{test_evaluation_time:<12.6f}\"\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b5a2a0a",
   "metadata": {},
   "source": [
    "### Test 2: Baseline + Optuna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "59143d55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading saved model (Baseline + Optuna)...\n",
      "Model loaded successfully!\n",
      "Model loading time: 1.529380 seconds\n",
      "Model type: LightGBM\n",
      "Number of features: 24\n",
      "Number of classes: 17\n",
      "Best iteration: 500\n",
      "\n",
      "Predicting on test set...\n",
      "=== TEST (OPTUNA) METRICS ===\n",
      "Accuracy: 0.8417\n",
      "Precision (weighted): 0.8414\n",
      "Recall (weighted): 0.8417\n",
      "F1 (weighted): 0.8400\n",
      "AUROC (OvR, weighted): 0.9831\n",
      "AUPRC (weighted): 0.9214\n",
      "Evaluation Time: 2857.395803 seconds\n",
      "\n",
      "Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.78      0.71      0.74    377220\n",
      "  Analytics & Telemetry       0.81      0.64      0.71     35297\n",
      "              Antivirus       0.94      0.90      0.92    120537\n",
      "Authentication services       0.82      0.75      0.78    145222\n",
      "           Blogs & News       0.79      0.54      0.64     21033\n",
      "             E-commerce       0.71      0.55      0.62     40984\n",
      "           File sharing       0.89      0.76      0.82     73685\n",
      "                  Games       0.85      0.69      0.76     36482\n",
      "    Information systems       0.75      0.44      0.55     13874\n",
      "      Instant messaging       0.87      0.78      0.82    148530\n",
      "                   Mail       0.93      0.95      0.94     64226\n",
      "                  Music       0.89      0.88      0.88    146596\n",
      "Other services and APIs       0.87      0.89      0.88   1019297\n",
      "                 Search       0.85      0.78      0.82    273102\n",
      "                 Social       0.84      0.86      0.85    547485\n",
      "        Streaming media       0.82      0.89      0.85    934513\n",
      "      Videoconferencing       0.78      0.50      0.61      1917\n",
      "\n",
      "               accuracy                           0.84   4000000\n",
      "              macro avg       0.83      0.74      0.78   4000000\n",
      "           weighted avg       0.84      0.84      0.84   4000000\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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jwTybvdexra3tHdf7YBjqe2ko53mwDHbvJBIJYP+/Xe+2vd11Tz755Lw1DKC2tpYPfvCDLFy48F25lQ/GQO/D9vb2fvU62PdP73tPIpEcOqS7pkQiOSA///nPGT9+PLquU1FRwYQJE1DV/n1Euq4zfPjwfmmbNm2iu7ub8vLyActtaWkB9rh/9rrbDZWbb76ZBx54gAsuuIDq6mrOO+88rrrqKs4///xB99mxYwcAEyZM2GfbxIkTefXVV/ul9Y5560tRUVG/sTutra39GlORSKRfaPRPf/rTfOhDHyKbzfL888/z05/+dJ/G16ZNm1i5cuU+x+ql77UaNmwYxcXFg54jeK5Pt912G2+88cY+42W6u7spKCjY7/4HIhaL5Rumh4NRo0btk3b++edTUFDA/fffz9lnnw14rpozZ85k/PjxAGzevBkhBN/4xjf4xje+MWDZLS0tVFdXc8cdd/DBD36Q8ePHM3XqVM4//3w+/vGP79fdri9CiAHT586dy3e+8x0URSEUCjFp0qS8YGhpaaGrq4tf/epX/OpXvxq0fge6FgMRi8UATzC80wiKQ7lv5s2bxxVXXMHtt9/O3XffzZlnnsmll17KNddcg9/vBw7u2ey9jvvr0MlkMvuIg8rKynd0jkN9Lw3lPN8pe987vQJuf8/UYEJw3Lhx++QdP3486XSa1tbWd3ydBqO2trbfeq9g7ezszN+DB/v+EUIc0TkbJZLjESnyJBLJATnxxBPzY70Gw+/37yP8XNelvLycv/71rwPuM5igGSrl5eUsX76chQsX8tRTT/HUU0/x+9//nk984hP88Y9/fFdl97K3NWkg5syZkxeP4Fnu+gYsGDduXD7QwsUXX4ymaXz1q19l/vz5+evqui7nnnvuoBMD94qYobBlyxbOPvtsJk6cyI9+9CNqamrw+Xw8+eST3H333Qc9DcVATJw4keXLl2Oa5ruanmIwS8NAliu/38+ll17Ko48+yj333ENzczOvvfYa//u//5vP03tuX/7yl1mwYMGAZY8dOxbwptfYsmUL//jHP3jmmWf4zW9+w913380vfvGLfmOe9qZ3bF1nZ+c+HRsApaWlgwZl6a3fxz72Ma699toB8+wtModixQPyAXBWrVqVD+5zMAz1vlEUhYceeog333yTJ554goULF/LJT36SH/7wh7z55ptEIpGDejZ7O0x6x4oNxP3338/111/fL20wkX0ghvpeGsp5HiyD3Tu90zmsXLmSmTNnDrjvypUrAZg8efJBH3cwBhNW+7MADvZO7P093sn7p6ura7+/v0QiOXikyJNIJIeNMWPG8Nxzz3Hqqafut6E6ZswYAFavXp1vgA8Vn8/HJZdcwiWXXILrutx888388pe/5Bvf+MaAZY0YMQKADRs25KOE9rJhw4b89oPhr3/9K5lMJr8+evTo/eb/n//5H37961/z9a9/naeffhrwrkEymTxgxMYxY8awcOFCOjo6BrXmPfHEE+RyOR5//PF+ve69bmiHgksuuYQ33niDhx9+mKuvvvqA+YuKivaZiNk0TRobGw/quB/+8If54x//yL///W/WrVuHECLvqgl7rr1hGEOKfllcXMz111/P9ddfTzKZ5IwzzuBb3/rWfkVer5jatm3bQc9zWFZWRjQaxXGcIUfnHCqXXHIJd955J3/5y1/ekcg72PvmpJNO4qSTTuK73/0uf/vb3/joRz/Kfffdl792Q302t23bRmlp6X47fRYsWHBQbtn7Y6jvpV72d54Ha30a7N654IIL0DSNP//5z4MGX/nTn/6Eruv7WEMHcjfeuHEjoVCon2AdiF4r3N7PZt9Oq4PlYO+j+vp6TNM8JPMWSiSSPcgxeRKJ5LBx1VVX4TgO3/72t/fZZtt2vmFx3nnnEY1GufPOO8lms/3y7a+3vnd8Sy+qquatILlcbsB9TjjhBMrLy/nFL37RL89TTz3FunXruOiii4Z0bn059dRTOeecc/KfA4m8wsJCbrrpJhYuXJgPG37VVVfxxhtvsHDhwn3yd3V1Yds2AFdccQVCiPwEzH3pvVa9Pe19r113dze///3vD/rcBuMzn/kMVVVV/Od//icbN27cZ3tLSwvf+c538utjxozpF9Yd4Fe/+tVBjxk655xzKC4u5v777+f+++/nxBNP7OfOWF5ezplnnskvf/nLAQVk32iCe98/kUiEsWPHDnrv9FJXV4fP5+s3ZcVQ0TSNK664gocffrjflA8D1e9gOfnkkzn//PP5zW9+M2C0StM0+fKXv7zfusGB75vOzs59nste61PvtTuYZ/Ptt9/m5JNP3s+ZQVVVVb9n7N0I5KG+l4Zynr1RhPcWSYMx2L1TU1PD9ddfz3PPPTfgVAO/+MUveP7557nhhhv2sR6/8cYb/cZx7tq1i3/84x+cd955+d+0dwL1vesZi8UoLS3d59m85557hnQ+A3Gw75+3334bgFNOOeUdH1MikeyLtORJJJLDxrx587jpppu48847Wb58Oeeddx6GYbBp0yYefPBBfvKTn3DllVcSi8W4++67ufHGG5kzZw7XXHMNRUVFrFixgnQ6Pajr5Y033khHRwdnnXUWw4cPZ8eOHfzf//0fM2fOHLRX2DAM7rrrLq6//nrmzZvH1VdfnZ9CYeTIkXzpS186nJckzxe+8AV+/OMf873vfY/77ruP//qv/+Lxxx/n4osv5rrrrqOuro5UKsWqVat46KGH2L59O6WlpcyfP5+Pf/zj/PSnP2XTpk2cf/75uK7LK6+8wvz587n11ls577zz8laUm266iWQyya9//WvKy8sP2nI2GEVFRTz66KNceOGFzJw5k4997GP54A9Lly7l73//e7+G+4033shnPvMZrrjiCs4991xWrFjBwoULD9pFyzAMLr/8cu677z5SqdSA8779/Oc/57TTTmPatGl86lOfYvTo0TQ3N/PGG2+we/duVqxYAXhub2eeeSZ1dXUUFxezZMkSHnrooQHnKetLIBDgvPPO47nnnuOOO+44qPoDfO973+OFF15g7ty5fOpTn2Ly5Ml0dHSwdOlSnnvuOTo6Og66zF7+9Kc/cd5553H55ZdzySWXcPbZZxMOh9m0aRP33XcfjY2Ng86VN9T75o9//CP33HMPl112GWPGjCGRSPDrX/+aWCzGhRdeCAz92WxpaWHlypWHZFqPoTLU99JQzjMYDDJ58mTuv/9+xo8fT3FxMVOnTh10fPH+7p27776b9evXc/PNN/P000/nLXYLFy7kH//4B/PmzeOHP/zhPmVOnTqVBQsW9JtCAejXEdT7bP7P//wPH/nIRzAMg0suuYRwOMyNN97I9773PW688UZOOOEEXn755QE7bobKwb5/nn32WWpra+X0CRLJoea9DucpkUiOHXrD2e8vhLgQ3lQD4XB40O2/+tWvRF1dnQgGgyIajYpp06aJr3zlK6KhoaFfvscff1yccsopIhgMilgsJk488UTx97//vd9x+k6h8NBDD4nzzjtPlJeXC5/PJ2pra8VNN90kGhsb83n2nkKhl/vvv1/MmjVL+P1+UVxcLD760Y/mp4Q40HkNFHp+IHrDk3//+98fcPt1110nNE0TmzdvFkIIkUgkxNe+9jUxduxY4fP5RGlpqTjllFPED37wA2GaZn4/27bF97//fTFx4kTh8/lEWVmZuOCCC8Tbb7/d71pOnz5dBAIBMXLkSHHXXXeJ3/3ud/uEUX+nUyj00tDQIL70pS+J8ePHi0AgIEKhkKirqxPf/e53RXd3dz6f4zjiv//7v0VpaakIhUJiwYIFYvPmzYNOobC/e+7ZZ58VgFAURezatWvAPFu2bBGf+MQnRGVlpTAMQ1RXV4uLL75YPPTQQ/k83/nOd8SJJ54oCgsLRTAYFBMnThTf/e53+13rwXjkkUeEoij5qS16GTFixJCmZWhubha33HKLqKmpEYZhiMrKSnH22WeLX/3qV/k8vfdu36k2hkI6nRY/+MEPxJw5c0QkEhE+n0+MGzdOfO5zn8vfa0IMfB8P5b5ZunSpuPrqq0Vtba3w+/2ivLxcXHzxxf3C+A/l2RRCiHvvvVeEQiERj8cP6hwPhr2nUOjlQO+loZynEEK8/vrroq6uTvh8viFNpzDYvSOEELlcTtx9992irq5OhMNhEQqFxOzZs8WPf/zjAe9LQNxyyy3iL3/5ixg3bpzw+/1i1qxZ+7zvhPCmaamurhaqqvb7PdPptLjhhhtEQUGBiEaj4qqrrhItLS2DTqHQ2trar9zeZ7bve2Wo7x/HcURVVZX4+te/vt9rJpFIDh5FiHc4clkikUgkkvcpjuMwefJkrrrqqgHd/iRDY9asWZx55pncfffdR7oq7xmH8t5RFIVbbrmFn/3sZ4eodu8tjz32GNdccw1btmyhqqrqSFdHIjmukGPyJBKJRCI5SDRN44477uDnP/85yWTySFfnmOTpp59m06ZNfO1rXzvSVXlPkffOHu666y5uvfVWKfAkksOAtORJJBKJRCKRHIMc65Y8iURy+JCWPIlEIpFIJBKJRCI5jpDRNSUSiUQikUiOQaQzlkQiGQxpyZNIJBKJRCKRSCSS4wgp8iQSiUQikUgkEonkOOJ9567pui4NDQ1Eo1EURTnS1ZFIJBKJRCKRSCSSISGEIJFIMGzYMFR1cHvd+07kNTQ0UFNTc6SrIZFIJBKJRCKRSCTviF27djF8+PBBt7/vRF40GgW8CxOLxY5wbSQSiUQikUgkEolkaMTjcWpqavKaZjDedyKv10UzFotJkSeRSCQSiUQikUiOOQ407EwGXpFIJBKJRCKRSCSS4wgp8iQSiUQikUgkEonkOEKKPIlEIpFIJBKJRCI5jpAiTyKRSCQSiUQikUiOI6TIk0gkEolEIpFIJJLjCCnyJBKJRCKRSCQSieQ4Qoo8iUQikUgkEolEIjmOkCJPIpFIJBKJRCKRSI4jpMiTSCQSiUQikUgkkuMIKfIkEolEIpFIJBKJ5DhCijyJRCKRSCQSiUQiOY6QIk8ikUgkEolEIpFIjiOkyJNIJBKJRCKRSCSS4wgp8iQSiUQikUgkEonkOEKKPIlEIpFIJBKJRCI5jpAiTyKRSCQSiUQikUiOI6TIk0gkEolEIpFIJJLjCCnyJBKJRCKRSCQSieQ4Qoo8iUQikUgkEolEIjmOkCJPIpFIJBKJRCKRSI4jjqjIe/nll7nkkksYNmwYiqLw2GOPHXCfF198kdmzZ+P3+xk7dix/+MMfDns9JRKJRCKRSCQSieRY4YiKvFQqxYwZM/j5z38+pPzbtm3joosuYv78+SxfvpwvfvGL3HjjjSxcuPAw11QikUgkEolEIpFIjg30I3nwCy64gAsuuGDI+X/xi18watQofvjDHwIwadIkXn31Ve6++24WLFhwuKopkUgkEolEIpFIJMcMx9SYvDfeeINzzjmnX9qCBQt44403jlCNJBKJRCKRSCQSieTo4oha8g6WpqYmKioq+qVVVFQQj8fJZDIEg8F99snlcuRyufx6PB4/7PU8WH73n1/lNGXeQewhAAVFCQDKIayJguak90kbKN/AmxSSmU427V5MUftiUBRUJ4vP6u6XSwyw31AQg245lNfgQMcQoGiDZxNDqE7fEzlgXoEqVHy2Syqg0xXx4aqK91EgmrbYWRHxilRAoHjXV/ESBAKheAcRSs+hFQUBhLM2TSXBfHV684ENig+3z3nmy+hTb5/l0FIcwlUVDNulrTCAq3jHFz31A4Vk0NjnnA507lmfSs7QcFSVeCCIojqoig1K353EXkUIwAUhULQoCkpPfu+joAAqCAtFi5B/jnoqo/QrR+lTPwWlX14XRTFA0QGFlBKlQMRRED3Vy/8AqErPufepd9+yRN91se+N4ZWpoShavzoqgKLsWe+97bqVGMWiw9svX3bvUuzZd6/0vdP6XouEEqNIdOTz9M83QJlKz/5C5MtKKWEK6crvo/bkVRH5tD0fUHDJECSmJPL5QHjPQ/660H+fnkrruBhYXj7FzR9P6Smn99gBxULHwcBGx0HDQVF683hla7goap/7I//q6/19vAMrPfdLv3tJ2Wt7vo59t/cvd9+HQtlrrc+6sv+8++7bd0Xpt0VB7fOs9DmO0vfZUfL7Dfhs7b3/XttzZit+f0W/bfly8xXc+1h7rt0+9elTfu+etpNEVf3oWhgUtee81J78/dcVRcVxsyiKga6FURQVep41BbXnuVOx7SSGUdSzvbeMnmvWU86epZov16uDlj8W+TrsWxfvHASq6kNRdO95V1Tve74uer5O3vtARdnnHpBIJJI9HFMi751w5513cvvttx/pauwXf1mUHTs39UvLt4MHeIcLYeO6OXxGMYqq53cQwkEgQLiInsauwMX78/Cjqr4+hUDvn6MubCy1DFcJA356WjUDI3obi3s3HgUhVaUmNoyu6gtpGnZhfhfF7UTBArw/NlfxIZQIYWsJCiYCradZpQIaQulZ9qSJnj80QZ+l0ttcGyBNCaGINIaz2zumAg4aLt4frovec+69+dX8en6pBACHnLmS3gaHUNz8n7OCD0ckECLZk1/pOb+9yultQEHPdd3TOMhvV/wIkcQVqb3SAcUFoRGxopjuNlSnG0WAIlQKMoLWgErA7i1PQ7M7UITiiTLFQLM6UITo05Dw6l+UdMkZGuVdqndFrETvrwWqAaJXLOoE0vWobs6rv/DOtTSeQRXO4PfJYcJlj/uBpcHuEg23R9xGsy71pYKcrpIzFFJ+sHSBqUMiKLAMsDVP7HaFwVE98ZoMgqmBo+HlDfUVvEOj61Cf6BARQkFRvGdR2FFQTTqtUoTQUdQcrlWCotgI4Ue4PZ1C+V4ABUXNIOwiQEGI3t/XBEII1+9lFRlwA3hX3kG44bwU21Ne7z0IwvUDGkJ4z7IrAijCe/byMjYnIOj9kntL9UE52Aat0vM7KoDas8yv99k2QB6h9llHAcUTk0L1Oj50YfWIWdGzT48wVARCAVPzE3aSaLiouCiKi636iDgJNGwUxcUQNqribdeEi6q45LQABU4nigIaDrpiY2p+Ctw4muKgCRdH0Ym4KTThgKISEmk0xc2L06DIoasuBg6a4qIroKoqiuqJDVUFVVG8TgJVRVVAVZX8R1FAVQSqovRs8y6F1qOrlPy5eumqIry0/GUU7Lm03n+DmWvB8BVjWZ30inWxp3tp3/V82t7r/f9/EOTThLAxzXYMo6hn3QVchBA9S3evdAfL6kRVAyiK6v1/Ci/de9McC3iCr7fOuh4FeoWgikKvWPREoqoaPaJR3yMiFRXL6sDvr0Tp2Tcvdns+mhrss67nv1tWF35/OYrqR1UMFFXHsVP4/GWoii/fPlFVH4ZegKaF0LQQqhpAVX1oWgBFMVBVf0+5UrRKJIeSY0rkVVZW0tzc3C+tubmZWCw2oBUP4Gtf+xr/8R//kV+Px+PU1NQc1noeLB/96v/sk7bg7pfZ0Ow1vItCxp6/PwGFmRY+sO0+6sM1GI5JxIoTcjL7lJFVfWTVAGEnTadRyK7gcMJOGr+Tw+/mCLje0u/m0Ps02F8omY/fzaEJh5WxqZiqr6dx7eBTXITuR1cVNFVB11RvqaoUoPCrbkFnucYyPxgCqpICVytFURVPC6kKPlsQizukInPJtxZ6GhAqDqriwl4NsLDThd5ryenTyVxo1SMUDQEYIoUuTDoytaiqBUJDxyJGGzkChEjgovb07jsESaEqLgp7Pr3ry1MfwKem0Y0Kr5HW+1FcXKHSZo9FxURVLFRcXFRA4KLgCB2npwEs8AQmKHkL5t7Nh6AAG3pK2EPvdw1wdAWNKf22dRX2fu8VcUOn5aBy7x81KMB191Qs3wATKEIghIJwVQx/knxjTajoeie4CqpmoSgWwhUgQLXtnnaci2o6+R4PRTj4nBaCyXb8uU5Ux8KvKCBcjJyJ5neoTSmorkC3LFTbRXUdNNtGtyw09+AabslIBKEopMJhcv4ALZWVdBZW0l4SwtF0XEVFKAquMHpEg+i5DxRcAVktg+oa3u/ueiJK9F4mRelpoPae3p7mrLf0vllqDqE4KEJFKPnmrNd5owiEIsj4OlGFn4zRhip0XNUlaTSjO8U4Wo6M3o7hhnuO6+b3z2qdaMJPrxVBIHAUG6FmD+4GGCpurzXDQbUKwTVQXIO+wlPp811oOVSrAEXoCFw0J4JqeusI3RMUTgTQUB0fvZ0tvXY7ger9No6BK/R8Z5JAwe7pKujz5O/5PXp+PyF6urB6Htw9vxXkBW2f0+vb5aGRY89V7O3AckkTHsKFKhswNd8vt7dgVTzLef+0vYXrnmoLTcWwTVxNw2fnepIFPsfCVRUCZhbdsQDwmzkU4aLbFrpto7oummPjc0wQYKs6LgqGsEnpITTXRSh97cOewNRUFVQNDAPV8KHpOobPj9/Q0QN+/L4AejCA3x8g4DcI6BoBQ8Xfswz6NAK6ht9QCRgaIZ9G0NAIGHvyBX1eekDXUNV3Jxb6CkNPQA0mGt2eV15vx6q3XQiT/HPVZ5tXtsveotN1cz3/HkqP2Oz54CKEjWV2oGnhPsdwEXh5EC45swVDL+jJ70J+f9GTx8EVVv+yez65bAOB6NSe/XrL9c7bdXMI1yKX39fOL207gevmUFV/Ps0T8eTP/WBR1aBnidUjaFoQx8kQDNai69GeTwxNC6FrYQyjEMMoRtPD+H3l+HzF6HpBj9VUIpHAMSbyTj75ZJ588sl+ac8++ywnn3zyoPv4/X78fv/hrtohZ+GXzuAbj62moStD3ciifCNeUUCky8m0l1AT1NCLR6LHStALS/EVlmBECvCHoxihMIauoakK9U/8Af+axdTqjfiKCjBCxfhCEXyhML5QhEAkjD8cZdvLC2nfton57S/k6zG36y2ipeVkkwmsrCckp511HuGiEk689Epc2yGbjJOJx8kkE4inU1yqW5xc28yI6TMprqom0xUnl0uTS6fIpZJkUyk0Q2f83NMA8IdC+5y/EAI7lyOXSWNmMph9l9kMZtpbjqm7DNd1sXM5rFwWK7/M9qTlsHIxArkcdi6Mm82STSUprRlDqKgE28xhmyaZRJyaKdOpGjMWv5tgSjqJ3boZ29awTRO7Yxd2No294y1soXkfB+xkB7arYKYTFBoZQrqF7ao4QsURCo5QsYWKo4dxFANbL8DWo9hGEVbOxLI0LCWALQzsbBYHSKfilBYNozBaimNZWOksjutioxMwYtg5b91FBcUg4q/Gsuj5uGD4eo6re/VEx1V0nJ7e2wMiXBTXRnMtT2gJB83JoasOmpVFNQwUVcE2guiqQLE0VF3xGnM+Fd1voOqa1/sf8JM2NQy/jqJGUAyD7k4bRdNwnWG016fQdBXNUPP3Nz3tfgAl4DVSs0mv0YkBBPatcqwsSDhmoOtQVO7DRKD0NFpcx6GgWEVRHWqHWwRECswswsxid3WDbSJME2GZWM3tOPEkbiZLZGczqqGS2dGKtaOJETu29zumFjbQghq+YgNcF1UXBCoUdL+DHnRRNRtfxELTTHBMsLOwH+unECoCA4EfgR9XeAJGaEFQAwgtgNAiCCWCI8pRdIFQAghRjauEsDMzUQ0XNxdAZHQUTemxdGvYKT9qQIDQEI6CayvgKLgW4AzcGBMITMXCVCwcxcVRHJK+LJpPR+g9jdWAhlBBLTRwTZtk1EQzdFxD4KguWTtHPJDC5/NjqQ67rQaCviBJN0WH1YmNjStcHNfxlsJbNqWaCBsxLNekIbkdRVHI2Pt2ZB0sESWCLnQUoaA4Ctiguzqa0PA5PnSh55cqKmErjKmZqEL13KZdHzo6Gjqq0FCFjuYYKLbGHodTTzwKFIToEY30ET6qiisgHI3i8/nRDT96j/DJmRahcATTdgiGwpi2gz8QQtV1NN2HUFXQDGxFxXQh5bjYjotpO2Qtm4xlYzkuadv13hGOwHYFtuOtpx2BKiCtGyiuwMZHDq9jJCt8uDZkCOH09jgZAlzh9TQZAuXg2+374vR88qMoBJABMt4zyx4JrQoXXdgoQuAqGiEnhSa8q+m5piuoPe8oR9G9a6z0vIs0DUM38Pt0AgGDSMBPOBImGg4Q9uuEfRohn07ErxPya8QCBpGAtx726UQDek+aH+1disb3I55ItHBdE9fN4boZbCeN62QxzTYURcMVJq5rkss1o2khL5+Tw3GSZLONeSFr2wlyuRZsuxvHSeM4KWw7MeBxVdWHrhdiGAVoahBdj+EKk3B4LH5fBX5/OZoWJhQajc9XimEU9PdykkiOIxQhxKF4bb8jkskkmzdvBmDWrFn86Ec/Yv78+RQXF1NbW8vXvvY16uvr+dOf/gR4UyhMnTqVW265hU9+8pM8//zzfP7zn+df//rXkKNrxuNxCgoK6O7uJhaLHbZzOxYRQpDu7sIfjqBpGi/95bdYuRzBaIxAJIpjWbx635/2W8aUwlOZVHgSCbMDnxbEpwbQVYNtiVUsantywH0qRo9D1VTMTIZcJo2VyWBmMj09ne8czTAwfH70QADD58fwB9D9fho2rM1v130+hOtiZt5ZA1IzDHTDRy6dGjSPriloikBTQXOzaIpAV100pfcjvGWsnLRaTGN9fzubpus4tr3fehRX1+A6NlY2Sy6VomzkKILRGIY/QNGw4QjXZdpZ5xIpKcfK2lgZCzuVw8pa5FImZiKD2RnHNh3MeBrHcjBTJo7tkutOYSl+svEslurHzAlc1cAVeyweDiqOYgxJRCqug+qaaMJGw0HDRlVBES6q34euKxg+FV1xMMIBdL+OHg0hDD/CF8C0QDc0VE0hEzdRdZWu5jTZlIVu9B+n0t2aQTdUbKv/vRSIGBh+jbKaKIqq4A/rnHjRKMKFA3cICSGwW1rIbdhAdt16FF1HWCZ2Rwfm9u2Ym7eg+P2Y27YNuL8xbBjoOpFTT8E/bhSqrmBUlBAYWYWqC08AWmlwrJ6PCXYOnBzYPQKxVyhaWW9pZ8HKePnMpPexsj375Hq29ZS7n2fJE5c+BEGEHsPVSkAPIbRozyfc8ynAVUIIEUQQwnWD2LkQiqbjZHV6TPW4toqwBG5q//csAJqC6tdQAjpqSEcN9Lh3BTT08hBq0ABXoBX6EH4FN6DghMAKCDJkyDpZOrOd6KruWVAQuMLFFS4J02sEOsJhTdsaGlINJMwEaSvNyraV+61WTbQGTdFIW2nKw+VEjAghPYShGgT0QI/tXkVVVHJOjrSdJmkmyZpZMmYGy7KwTAvLssAGwzXwu34UoRC2wziKg+Ea6K6Oz/Xhw0fUiuJqLn7LDwpo9n7G/gKapuHz+QgEAsRiMfx+P4FAAL/fn/dsKSoqIhqNEgwGMQyDQCBAIBDA5ztwo9ZyBR2WTdJxaMpZCKAxa6II2JTMogpoyZlsTZkYqkJr1qTTckjbDrYryNpu3jrfo3ZRTBdUKAAURxBRBIoLEVz8wiXk2ARcm6DjYDgORiqBrqg0ZTX82KRMh4wlyDiCdjdAwM1h2Q6OomErOqZqeJ4n+xk3rQkbw7UxhIUhbHTXRhU2ao94VIXIfzdVA1dR0XUffr+OPxgkGPaEoqUYjCmPEgsYxII6hUEfhSGDwpCPgqDR893Ar+//d5S8M1zXsxzmzGYcJ0Mu20g2W08214SuhXHdHI6TJpPZiSssHCdNLteMZXUMWJ7fX0nAX4XPV+qJP18xPqOESHQyodAofEaJdCeVHDUMVcscUZH34osvMn/+/H3Sr732Wv7whz9w3XXXsX37dl588cV++3zpS19i7dq1DB8+nG984xtcd911Qz6mFHnvHuG6LH/2SRQUAtEowUjMW0Zj+Bwf6ZeayJlpUpkutLAPo0VFsRWi140hEA6j6gYb33yVXCrJ6hefI1Zahj8cwR8K4wsG8QVD+AJBfCFv6Q+GMILesne7Zhg0btqAbebQfX6MXiEXCHjrfj+qNvCfq+t61hRV3bM91dVJ687tJNpa0X2+no/fWxq+fdN60hXVEzXZVJJsMolm6Gi6Jx413UDVtMH/GNId0Loetr0Cb/4cst35Tda0a1BHnYZaNR0lWoEbKiHe2oqm62iGgaZ74xfeevQBEh3tBCIRdMNH645taIaPnauWEy4soqu5sd8hdb8fu08gIoBTPvRRhk+aQvmosQNaVYeKEAIr62CmTXLxNFY8jdmdwMo5WPEUtg12JoeZymIls9ipLLblYlsuVmfcs0CaFo4tsLI2tuLD1QxPUKo6jurDVXVc1Yej+YZmldwLRfFchvOWQhQce18BpOm9lnPFE2R+HcOvoftUfH4NRVNRVQVfSCcQ0vEFdHSfiqbY6OluT7x2t6BuXo0WMHDXrYBsBpFM4Dbs2ud4+uixGGPGETrrXLSCKHpREWokgl5RgREw0Ix3EWRBCE84WmlP9JkpTwD2CsNcsr9otNJgpnuWSe+7mfTuz95tZhKycbAG79zACCMChYhAJW5gGMIoxjVKcdxSFF/IE4yEcQniOn5cy4fVAcIERVdx0zZO3By0eMWvoUUMTyCGDbSw4S2jBlpxEC1ioAZ1lICOFjVQtP73i+3atKZbSdtp0laalnQLTekm2jJtZOwMLekWbNfGci3aM+2s61g3cD1QqInWMKlkErXRWoZFhjEsPIyZ5TMJGSFc4ZK1s/njZOwMKSuVF4ZJK0naSpOyU97SSpEwE8TNOF25LpLZJNlsFitjobpq3tIYcALEzBhoECZMgAB+4Ud3dFRLhcEvHQCRSIRoNIrf76e0tBS/309BQQGFhYXEYrH8MIh3et9ZrqDFtNiczpFzXZpyFh2WJ/w3pnOENZWNqSyFhkbGcWm3bBpzFh3Wvtbuar9Buc+g1KcT0zVmRkOMC/sp9xlU+Q0KdQ2EwDJzmJkMiVSa7mSW7kSaeMYknjZp74qTdVW6k1nimRzJnEPapucjSNmQcRWyrkYOlZzi6xmvPTCaa+MTFoZroQsbTTg94tDtGQftWRt1VYFAGH8gSDgaJBaNUhINUh4LUFUQoDTipzjsozjsicTisE8Kw8OIZzlsxbTaMHOtpDPbe8YXdpLLNpIzW7GsDhKJNf3207Qwuh6lqPAk/IFK/P5KopFJRKPT0LRjz1tMcmxzTIi8I4EUee898ed2kHyzkWFfP+lIV+XoxkzDsj/Dqgdh9+L+2/QAlIyDWBUEi6BkrDfG5YQbIFh4wKJ3rFxOw8Z1+EOeQG7YuJ4dK5eR6urcJ2+srBxFVelubmL62eejGQazL/wgqqoSjMWwTZNAJPqe9GoKIXATCcydu3Da23BTKZzubqz2Dpx4EjORwoynsTMWVtbCNh3cTBYnm/MEpKt5ghAQioarGjhGEMIxlGAA/H7UQAgrECOjRsi4ATS/AYaPbFZgW14QiVx6CFYpPAGpAK67n9eqaxMwuwmmWymIbyWSaqC0dQVCUdFE/+MIFLL+IrqKxmEHCxH+IFZhFfiDOMEIVqwCQlF0n0Y2ZRMtCaDpqic49d6Pgu7TMAJa3gKqasqe7YYXnEhVFRRVQdMVVE1F92n4AlqPuNU8K+nebmuOBbkE5OKQavOEYqbLE4TZLu97uh3SbV5ausNLz3Z74nIw91V/DAKFEChABIoQvhJcvQxXLcZ2yhFaGNeJ4FghhPDh5AzcnIqbETgJG2HuW64a0j3RF9RRQ54AVH0aathAjRjopUH0Qj9KUEcLGyj6vg38tJXOWw+3dG2hPllP1s7SmGpkd3I3Gzs30p3b01lTHalmTOEYxhSOYWzhWCpCFUwsnkiBv2Dw+2MQXOGSslJ0ZbvoNrvpznXTleuiM9tJR7aDzlwn3bluOrOd+fREJoFu657VUHjLsBVGUzTKnDKiVhRN1/C5PjRbQ2TFPkOpwuEwkUiEYDBIOBymoKAgLwYjkQjFxcUEAoFD9j7oFYQ7Mia7syYpx6UhZ9JtO2xMZdmcztFl9/99Y7pKbcBPhc/g7JIoE8NBxob8lPp01HdYLyEE6ZxFe1eC1tYO4qksHd1JEhmT9q4EWaGRyJgksjbJnE0y55C0XNI2ZIVKTujk8KyL+xOLqnDQheN5MvRefE3DMHwE/D6iAYNo0KA45KM85qco5GNkaYhRJWGqCoPEAgZhv4auybFohxrHyZDJ7CSd3kYyuYFsrpF0ajPZXCO5XBMAiqIRDI4kEplAODyOSGQCkfBEgsHhPVFQJZJDjxR5gyBF3ntPanETnQ9vouprJ6IVyB6vIeG60LDUc7Pb/G9oXg31b3tWGOF6lpReVB3GnQdjzoLScTD8RE8A6ge+1q7rkGhrpX7DOpq2bKS7uYloaTlbly7CzuXIJAafcqRm8jSmnHkOVjaLquuMm3sKvkAQTT96hvoK08Tp7sbu6MTp7sJNJLBbWrBb23C6u3EScZy2duzWVuyuTpyubm9wYw9KMIheVIReWYlWWoZTVIFaVIxWXIKtB0iLEE4gyu4G6O528YcM0nETIaCree/pSPYQLQkQLfYTjPlxLJdQzIcvqBF24/jdDEa2G5FJ465agtvajEgmULauHbAsu6CMdPEo3PIahIB0yWjSsWosoWPpYRwHzw0363gieJAxeENBN7xxl4ZPQzPUvPjTfZ6VU9dVfCEdf1DHF9TRdBVVU/rk6RGOAR2fX0VXTXQ3hWbHUc1ulFw3SqYdNdeBanb3F4zZvdadgU1VQvXh+qtx9Upcx4cbGYurVuLYPlyjEleEEU7Q2+YYWM0DCHgFtAI/WsyHGvGhFfjQoj70kgB6aQg1YqCFdBRj30ZczsmxuWszW7q2sLlzc/57Q6ohn6fIX0RJsISSQAknDTuJ6aXTmVk+E592aMcG9bqtxs048ZxnGezOddNt7hGIbZk22jPtdOY6aU+3Y6dtAk6AsB323EwdP2E3TIgQIRHCb/nRc3o/MWj4DWKxGCVFJcRiMYqLiykuLqakpISCgoIhuYceDEnbod2yac5ZNOQsdmVNXu5MkLBdlif2PHd+VaHMpzPM72Nk0MfooJ85BWEmhIOUGPvxsjiE5NIp2tvaaW3vpqMrTktbJ13dKbqSGeLpLN0Zi3jaJGU6ZF0FUzHIqX4s1SCn+jBVv+eGqvj2G2FWUxX8ukrQ0IgEdAoCBsURH6URP9GATtSvEwnoRAMGkZ7vsYBOxL9nLGLEr8vxh0PEcbIkk+tJJNeSSm0iEV9FOrOjjzuoQjBYQ1HhSZSWnkWsYBZ+X+kRrbPk+EGKvEGQIu+9x9ydoOVny4mcOozCS8Yc9P7CETjdOezOLG7KIjCxGNV36HrIhO3iJE3chOUtk1Z+XS8NEjll2CE71iGldQM8/21Y98TgeYJF3pQIU6+A4tEwbCZUzQR9aI0uIQTbli9B0w3ad+8kGI3R2djAGw/9bdB9FEVl3sc/ScXoscRKy4kUl3gzM6hHf6+mcF2shgasnTux29ux29tx2juwmpuwW1txOjq9tLa2AfdXYzGMinK00lK0gkLUohKUympE1QhErJht9RqdHQ6tOxOECvzEWzNYuYGtWQXlQeZeMpri6jDBiA9/SEcVDm42i5tIkNu8GauhkcQzz2Du3o21c+c+ZfhGjyZ80klE5s/HqK7GGF6N6vPhugLXdnFsz11WuN5vLVyB6wgc28UyHayMg2U62JaDnfPSbNPxrKSmi2M6WJaLbTo4Pa63ubSNmbHJZWxc282Xd7Di0hfwRGGvu6ym7xGLZsYmHNNRsdE1G12x8Bs5DLJoIoPmpjG7OgiHbHQniZbYgYJDwGkjYNVjkMRQsuiKiYqNwI9jjMb1leMa5TjqMBxRjiOKcNwYrhnCzhgIs38DWPGpqFEfWsQTgP7RBeglQfTSIGrE6Cci4mac3Ynd7EzsZHv3dhZuX0jWzrI7uTufpyRQQlmojLJgGeOKxjG3ci7loXKGR4cT0AeIOHQYyNpZOrIdJMwEjalGEmYibzXsFYRNqSbau9pxMy5BO0jIDhGyQ0TtKGE7TNjqH0VU9+uEo2FKy0oZVj6METUjqKysJBwOH3KhlXZc1iUztJo2O7M5dmVN3uxKsSrZf9x1WFOZFgkyIxqi0m9wUmGECeEAoSNoEesdFx9vayHZ0U4mHife1oKVzZKOx2nv7KI9nqYrniKdszBVH6biw1R95LQAaS1EUguR0oJk1CCW6iOr+VE0Ix/wx96flwEQ9mn9xGA04H08EWj0EYf6oPnCPv1dRzg9FhFCkMs1kkyuJ5XeSmfnmyQSqzBN7/8iFBpFYcEcSkrOpLj4lJ4pLySSg0eKvEGQIu/I0P63dTjdJuWfnTHgdjdrY7dmsNoyOB1Z7I4sTmcWuzOL053rN+9A8UcnEZp24B4x4QicRA6nK4fTncPpMr1lwsRJ7BFzIjuwa5f3RTl23EzTHbBxoTdWbfdi8Edg9xJoXOG50w2EHgTXgugwmP3xHmvgeAgc+NkwM2k0w0BVNTa//RaJ1hYaN29k/WsvDZi/sLKK4uoazEyadFcXwyZMpqx2BFYux5gT5lJaM+LdnP17ihACkc3ixBM47W3YHZ2eNbClxft0tON2d2O3tmHW1yPSe6wLis+HXlGBb8QI9LIy9Moq9BEjMAuqyIbLWbuki20r2wc99rgTyikZHmH4hGIqRvX/ndxslvRbb4Gq4SYTJJ77N5lly7Aa9liRfCNGEJw5AxQV/7ixqLEY/rFjPRFYXn7oL1YPjuNiZR2snIOZtb2xmjkHx3TzIlAgEC44tks2ZeFY3jYr5+DYAsdy6GxKE4r1CFVHYJteObmUjW15YtMc4JkeHIGmCVRVoPbML2o5OkE9ja5k0UUGTWTRFAuf4hJUNfyKgqEoGFqAoFqIoQTQFR+66N954gZcCGuosQBqaQSlIIh/WJhgdRRfxEDTVFJWiud3Po/lWmzp2sLipsW0ZdpozbT2K2tyyWTCRpiZZTOZUjKFmlgNowpGYajGIfh13hm94xXbs+00p5rZ0LmBlJmiJdVCZ6ITs8MklUmhZBVCdogCs4CIHcHnetfJ1V3UiEowHKSwqJCqsiqGlw2nuqSaWCx2SN1AAUzXZXM6x9J4moacybpklufa41g9zSBDURgV9FMT8FHh16mLhZkSCTItGkQ7yoJuOLZNsqONVFcnyc4Okh3tpLu7SbS30t7YSOv2LbhWf2u3pQfp9hXQqBXToReRMCKYRgi9qIKioiI0TaEy5icaMNBVFdNxSObsvEtqImuTzLun7t+FvVf49RWD0R5rYTSg562H0f1YF0PGu58O40gjhCCb3UV393K6uhbR2bWYdHozoBKJTKS87DwqKy8nGKw+0lWVHENIkTcIUuQdGRKv1tP99DaqvjIHqyWD3ZrGakljt2awW9L9AiyoEQOtKIBe5EcvCqAVB9CLAqhhg5b/W0bx1RMIzShH2C52Zxa7PYvTnsHu7BFz3T3CLmH2cylS/FreBUuLGJ4bVrRn2Xc97AVpiL+wk/jCHVR94yS08JFrSB0ShPBE4Pp/Qrzes+7F671AGo0rvAAwe1M5DUafCQW1MPNq8A+t1zHR3kaqs4NUdyedjQ2kujrZtOh1oiWl+IIh2nZuJ97qRRDdOxBM9cQplI0YxZmfuPGocvt8NwjXxW5t88RfcxNWQyNWYyPmzp04bZ4I7GcZNAz8o0ejVVaRGTkTRowjVzCMjSsTmFmnnxto5egYF90yg8B+7k8hBOaWLWRWrya9aDFOvJv0osVo0ShWff0++UMnnIBaWEBwyhSM6mq0oiLCJ5+Mcgz+Hq7jWRcde4/AzKVtzKyNbbqehdJ0cR0XxxJe8KAeC6YR0PL7OqaNk83g5HI4ORPHtLBNG2FbuE6PALUFrq3iEwZBxcBAJ6hqlBkqCuBXwNenwWq6gnbHJSEcspqNbQhESMVBJxDxYZQIWo0EZixNk1vP84mnaDT3/b16hd7ogtHMrpjNzLKZjCkcc8hdP98NaSvtBbVJt9GcbmZ3827aWtpIdCaw4hZKWkG3dYJOsN+cn0IVKH6ForIiimJFVBRXUFlSSUFBAbW1tajqobG69Vr/ViTSLO5O8VKnF5m1NwhMUFWYFg0xMujjpIIIJxdGGBU6+oceWNks3S1NJDvaSXZ1kuxop6NhN+31u+lqacJM7pmGwFZ9JPQIcS3MjmAtXUYBSkEpgeIK6kYWM648wviKKOMqopRF/TiuIGXuEX2JrLWPGEzkepZZKy8M41mbZM96ImuTHmD8bC+K0iMWB3U13SMIB3JJ7RWZId9745o7VDKZnbS2Psvu+r+SyewAIBqZQtWwK6ke9hE5pYPkgEiRNwhS5B0ZcjvjtN6zYk+CpqCXBDHKg+hlIYzyEHpZEL0siOofuDHpmg4N33wdvSyIsFzPwif6lFcUQCv0e0KuwOctC/3oPcve8OxDJb2qlY6/rqfkE5MJTi55h2e+L8IVuCkLJ25653sIXU/fMVYW2jdB5w7Y+QasvN9LMweYiyhQCLUneaKv9mRv/F/JOBhxyn7HjPTFmzDYRVU12nbt4KHvfH2fIDDX/eheSqprDsHJHf04yRTmtq1Yu3djt3eQXbuW3JbNmFu24ia98ZdaQQF6eRlaWRnqiHG8FK+jO+Xd0/6QzvCJxWRTJmPrKqgeX0hR5YEn3hZCYDc2Ym7fTuqNN1AMH+mlSzG3b8fp7ET0EeC+sWMIjJ9A4VVX4R8/Dq2o6KhqOB11OBZOZyNWVzO5jg6ynXHcZIpsi4C4hjAVlGwU3SlA6ZmyVghBVpi02VnabR9p1ybtGGSElndmEAhSvm52F2wgbcTpjjSRCnSR1pJ0BJryhy9WyqjRRlEULKSueA5nVM2jMBYjGDHwh42jzkISN+Ps7NrJ9tbt7GzZya6mXXR1duFmXRRLIeAECNpB/K4nroQqMGIGxWXFjB01likjp1BVWXXIhB9A3HZYEU+zMplhaTzF+mSWLRnvmZgSCXBhaSFnl8SYEX3nUUiPJJaZI9nRTuv2rcRbW2jasonOlmZat29FOJ6lztUMEoESWpQorUYxnUYRVkE5VcOHM6kqxpRhBUypjjG+IorxDlxdHVfkBWAia+XF4R6roZcW77UgZm0SOWsvEWmTGSAqay9qr1gMGPtYF/uKwehe1sWgTyPk0/DrGn5dRdcUdFVFUxRCfu0dne/eWFYn9fX309D4AJnMDlQ1QHHxaQwf/nGKi049Ju8ryeFHirxBkCLvyCBcQWpRE2pIx6gMo5cEUbSDe3kJV9Bx/wZwhRcAoTiIVhJALwmgxfz7Rv57lzgJk8bvvkV4biVFl40bUv16xZuTMHHjJk68xz20J82Jm7hJM+9+Gjm9msKLRh/Seh9SXBd2vArbXvaif2Y6POvf+ic9N8+9KRkL1XVQPgkmXAhlEw7qcEII/v6NL9O4aQMAwydPpWrsBE645HJCsYOPSHis0yvCMqtXY27d5o0TbGokt3Ub5vbtdEZG0Vh1Mk4wRmvB5H32L6oKoekq1eOKqBpXwOiZZUNuNAjXxU2nya5eQ+rNN+h+7B/YTU398ujl5YRPPpnQSScRPvkkjMrKQ3Le7yeEK7DbMzhdWczNLVhNScyGLE5ir79m1UYL7kJRGnCseszcbkzhkHKL6LaHoSk5OpQwq4oydGkOzVqGTUUrSfv2dNTUdk5mdPsMxrTPoiAaJVzgJxTzEQgbhIv8BCMGwaiPSKGfUIGvJyCQfsQbmr3jGXcndrO2eS3NLc0k2hJYXRahdIgCa8+7wfJZ+Ev8VNRUMKJiBBNrJlJbeuisft2WzQsdCR5v6eLZHlfPkKYyryjKpEiAS8uLGB9+b8ZPHi5c1yHZ0U77rp207d5J++6ddDTspnXnDuysN7bR1f10BUppVGLsClTTHq5m+PBKJg8rYNrwAmYML2RyVew960ywHZdUziHex2rY17rYKwZ7LYh9rYt7RKRFdq85VfdHcdhH2K8Rz9iMKAlhaCqGpuDTNRJZi9riEBnTYVxFhOKwn+Kw4S1DPoojPopDPoJ9OnkTiXU0Nj1MW9vzZDI7CPiHUVl1ObU112EYRYfjskmOUaTIGwQp8iRDRTiC+v95lcCkYkqvneIFaOnOYXflcDpzOF1Zz0W0M+uldeegb3AJBW/erpgPLeZHi/pQYz5vPeqj+6ltCMvFGBah5OoJA0bqO+rpnX9t+6uw9nHo2OIFhOkdA1g6HqpP8AK/DJsJ4aFFF1v78vM89fMf9UsrrRnBWZ/8DNUTJx8TQVwON8I0MXftIrdlC7n1GzC3byezdi3dbTkay05AdR06SybiBiLEfRX5/VQVogUGJ1w8iomnDj+4Y9o22XXrsRobyK5ajdPVReKZZ3C6vWkDAlOneqLvxBPx1QzHGDHiiAuEYxU3a2M1p3HiOaymNCJrYzaksBqSiJ5gPUpAJTReI1CWxufbjEYXxBu8KStaN4Bj4sRbeUULsiQQ5NEChXiPQ0OlGabQLuKE+BzCZhXBeC12NoBt9f+9NF0lEDEIRg0ihX4CEYNAxEcgrBOMekIwXOinsDyE4X/vn8uObAfLG5azfft2du3cRSaeQaQFwWwwnydjZCAIbpHrCb+xE5k0bBKVoUq0d/EuSTsub3YlebSlk1c7kzTmvI6vmoCPD5YXcnpRlNOLIu94GoejDSEEqc4OWnZspXXHdurXraZ5+1bSPV4Yru4nEShmh1JCi7+URGw4I0ePYNaIYupGFDGrtoiC4NE99MFy3LwgTFs2qZyDabuYjovjutiOoCNlYruCzpRJQ3cGyxEYmoLlCEzbpSWR9SIspy0s1yVrOnSkzQEFZNDQKA77KAobKChUFwapLgxQHW3FTL6ElXmLqC/ByGHzmTH+ExQVjD0CV0VytCFF3iBIkSc5GNp+v5rshk60mG+fMX5qxPBcRIv8aIXeGEKtwBNzvaHX92etjL+wk8yqNqyGFKWfnEpg/HHUU9e+xZvzb+NCaOkT+n/k6TDiVJjxESgedcBiHNtixTNP8sIff73PthHTZ3Hup26loLxigD3fvwjLwty1G3P7Nsxt27EaG8nt2MmarmoylkFH0UTMnnnaCuJbGR5qp2aYS0F1Cf5x4/CPH49RWXFQY/Cy69eTWbaM9NJlpF55BaerK79NLy/HN2Y0gYmTiJ53Lka5F31U9R/9Y5qORoTrRRvObe7C3J0gu64jP6ZZLwngq41hDAvjH1mAUR3xPKhzcUi2QqKRNc3LWNy2kqe717PG7u5XdqVtM8J0uahbY1y6CEMbQVavIauWkRalpOwYWSdC1jTIZhVymf6NVl9AI9xjBYyWBAkX+IgUBSgsDxIu9BMrCaIZ7030ykQ6wbpd69jWtI0d23bQ3dGNEd8jMDJahtZQK3qBTlF1EWOqxzCqYBRjCsZQE6t5RwFtUrbDE61dvNiR4LGWLoC8le/zIyqYFQsdqtM7qkh2tNO0ZRPt9bvoqN/FjtUrSHV4waMczUdroILtRiVdRgH6yClMH1nBlOoYp4wpZUzZoY+werSS6RF7HUnTW6ZydKQsOlI5Nrck2dWRYVdHGhRIZPcNbKMqDpWRNEF/CdOGlzKuIsqo0jA1RSEmVr0zd1nJsYkUeYMgRZ7kYEivaCG7vtMb25cXdH70wgDKIWismPVJWv5vGYqhUv3tUw9BjY9CcknP3XPpn2DjU/23VU6DmR/1liNP228x3S3NbHzrNTYtep3GjfsGipl+zvmc+uGPE4zG3jeNhoPFNU3sxkZSOxp5/l/tpDIKCdNzLQulmxm++0UqWhZjCBNfbS2+0aPxjxqJb+RI/OPGYdTWohUW7vf6Cscht2FDzzi/N8msXk1u3bp+eRS/H9+Y0RRd9WGCM2fgGzECNRgcpETJgbC7cpg74pg74mTWd+B0ZAFQoz4C44vwj4oRnFKKGuwv3NNWmoZkAzviO2hKNrCpbRXP7H6JhO0F9/ErGhcapVxhGUxtXI9mJvvNT+gKjVRgHHFjHEltJCltGCm3lLQZIpGLkkqqpBI2oidsv6JAuMhPQVmQUNQTgoUVIYoqQxRWhPYbQOhQ0R3vZvn65WzYsoGWXS3Yaa8xnfQlafY30xJsIRFIUFVSRVWkivFF45laOpXJJZOpCFUM+d2SdVwWd6d4rKWTZ9vjtJg2NQEfM6JBrq4q4ZTCCMHjuFGe6uqkffdOdq5eScPGdexaszK/rS0ynM16FbuCw8kWVjNleCEfnFHNSaNLqC05PoXwweK4gnjGoitj0dCVIZ3Lsnr7q7y+aTcqKbqdsdQnSkj0iSRcHvUzoTJKcdjHsMIgs2oKGVseYWRJ+Kgbgyt5d0iRNwhS5EmOJoQQdD64kfTKNoZ/5zgVeXvTsBw2Pwtr/wFNq/ak6wGYc6Mn+sonHTCIS/PWzSx+4hG2vr0IK5ftty0QjXHqhz7KzAUXHYYTOL7oaEzx2oOb2Lm2I58W9jucWLiW8K4VWNt3YDU2ehFaAa2sFP/YsfjHjiMweTL+sWPwjRqNFtl/oBc3lcLcuRO7rY2uhx4msXBhv+16ZSX+CePx1dQSnD6N0AknoFdUoGjSNfdgcXMO5q442Q2dpJe34iZMUMBXG8M/uoDAhCJ8NbEBPQ0c12Fz12ZWta1iQ8cGntz2JHEzTtgIc0b1GZxSPou6UDU1lgXduyHR6H3iDd56yzr6ujw4viIS4RmkAhPoUkYTdyvpShfQ0aGTy0ImuWdsbyBsUFAeJFYapKwmSlFliJLhESJF/sPWcZNIJNi+fTtbt25l6/atdHd61k2hC+KxOLv8u9ji24Kt2hQHihlXOI6iQBGTSyYzu2I24wrHETL2L0wcIXi2Lc7Tbd281pVkV9YTytcOK+FDlcXUxULHfceUEKJH9K3wPmtWYWXSCFUnFShieWAcDf5KnKIqLpxZw5kTypgzspho4Oh273yvcV2TxqZH2bTpO6hqiOKqL9LN2WxqTrG2Mc7K3d00x7MkczZWn+EjdSOKqC0OUVUQYEZNIXUjiiiNSG+KYxUp8gZBijzJ0Ub8xV0kXthFyTUTcTM2wWmlKMdxD28/hPBcyR79jNdIbFy+Z9ukSyBaBXXXQawaAgX7FX7rXnmBzqYGGjdtYPuKpfn0K/7fHdRMmYamy8bC/nBdwabFzbz41/XY5h43vMKKENVjowwvzVGutJBduw5z2zayGzdg7dgzAbtRW4t/zBh8o0bhHzMa36jR+EbUohUXD9qAtdvayKxeTXblSqz6ejIrVmJu394vT2TePIIzZxA991z8Y+V4lHeC1Zomt6Wb3JYuclu6cNM2SkAjMLYQ/7gi/CNj6OUDCw3HdXir8S0e2/wYT23fY4kP6kHOHXEul4y5hLqKuv7ujZlO6NoJnduhYxt0bIXObd737t3kRaDmxyoYR1dgJl3aOLqc4cRzRXQnA7Q2Wvn7MFTgo6w2SunwCCXVEQrLPeuffhgiE3d3d1NfX8+OHTvYvHkz7e2e22G0NIpT5LDT2MkKZwVdZld+n5GxkdRV1DGqYBSzymcxoXgCfm3gBrQrBGuSGR5q6uRvje0kHJdKn8HF5QVcUFrACQVh/IcwQujRimPbNG/dxObFb9KwcR1NWzfjmCZC02kJD2ejPoxdweGMmzCWuaNLOXdyBVOGSS+NXrK5Jtat/Qodna/h85UyZsx/UVV5Rf76CCFoSeRYtrOTTc1JNrcmWd+YYGNLore/jpElIc6ZVMHJY0qoG1FEYUhO3XCsIEXeIEiRJznaSLxWT/cTW/PrZTdNxz/q/RdJEvDm8nv1R4hEK2Ll4yiYKErv2AQFak6ESR+AaVdCdPBIjplEnAe//T+07tiWTysaNhzHsiitHcFlX/nmYT6RY5tkZ5aNi5pZ/txOMon+UVSLKkOMnlXGtDOHE9AszG3byW3eTG7DBnJbtmBu2+bNv9fz16IWFHjib8QIfCNqCc6eTWDyZLRIZMBjCyHIrllLZulSshvWk3l7aV74qaEQWmEhwZkz8I8fT+zCCzFqamTD7yAQrsCqT5Ld0EF2YyfmrgQIUKMGwYkl+McVEhhfNOCUM65w2Z3YzbM7nuXV+ldZ0rwkv+2M4Wdw/sjzuXDUhfsPZmLnvKlaOnvEX18R2LkjH7VXoJOMTKVVq6PFmUBLqor27jDp9J7fuqw2SqTIT+WYAipGxCitieAPHdrOnNbWVnbs2MGqVavYscOb00zTNCZMnEB4RJhkNMn6rvW8vPtlWtIt+f0mFU9iWuk0JpZMZHLJZMYXjd9nnJ8rBE+2dvOXhnZWJTO0WzaaAheUFnBrbQUzj9MxfAPh2DYt27ew8c3X2Lz4DbqaGgGwjCCtagG7gsPZWTSJBSdP4fypVcwZWYT+fukM3Q/x+Eq2bPkBHZ2vUVh4IpMm/i+h0ODj3S3HZWdHmtX13Sza1sFf39rTUTejppCzJpRz9qRypla/T9sgxwhS5A2CFHmSow3XdLyIeY6g7derKP3UNAJjCo90tQ4LQghExt4zrUTvdBN9p5nomX5CWC5aoUFx3Q58/kaUTU/Crre8gjSfN1XDuXd4wm8QOpsaWPb0E2xduphh4yay7tUXAbj8a7czambde3DGxweW6fDq/RvpbE7T0ZAi1zOOSTdUCipCTDqlismnDcPosay4qRTm7nrMHZ4ANLdsJbdxA7lNm/Nl6sOqCE6dhq+2htDcufjHjfPcMweyJnV10f3Pf5FZtozctq3k1m/wpvfoITB1KuHTTiV6zrkEpkyWou8gcHM2uW1xMitaye2Ie+P5FPCPLSQ4uQTfyAKM8uCA3gWmY/Jm45ssb1nOfevvI2ElqI5UM6l4EheOvpCza89GVQ6iIe46nqWvr+WvY2uPRXArWGkybpR2ayQd+hSa3Ol0mFV0pWM4jnecQFintCZKUVWY8too1ROKDpm7p23b1NfXs27dOjZu3EhHh+fiXFJSwsyZM6kZVUOn0cnGzo2salvF6rbVbI9vxxHeuKm5VXOZXT6bWeWzOKHyhH6iz3YFyxNpHm/p4sm2LnZnLaZHg3ysqoSrq0ow3mdjqrLJJLvXrWbn6hXsWL2Sjt2ewDY1PxtDo2kqn8bcubO4eEY1s2uL3tdjzoQQtLY+w8aNt2PZXYwaeSsjR948pH1ztsOKXd1saknw+PIGFm/vwBUwviLCRdOGScF3lCJF3iBIkSc5WrHbMzR9fwnBmWUgwOnOUXTpWIw+k1q7OQe7LYPdnvGWbRmcrhyx80bgH+m9iIXw5utz0zZ62Xs3Sa9wBW7CxO7O4XT1+cRzOAkrP2cgdv9XjhLQ0WJGT1RSP2rUm2Ii+Vo9Tpc38XBwagm+2pgnANs7CeovE9z4rT2FTPoAFI2A0/4DQsWD1rF52xb+8tUv5Ncv/NyXmXTamYfyMhz3CCGo39DJjtXtLH9uV79tZ350AlNOrx50X9c0Mbdt98Tapk2kly3F3L4DkfYCfejDqgjOmEFo1iwi8+djDB8+uKtnZyeJp5+m4y9/xdyxA2xPeBrV1cQuvpjAlMlEzzkH5X3g+nYosTuyZDd0kFnTTm5zFwBKQCM4qYTglBICE4tR9IGv6ev1r3PPintY0boin3bG8DO47eTbKA+Vv7uKCQHJlj4CcI8V0O3YQWciRJs9imZrAg3WVNqt2vyu/oBCcXWE2imlVIwuoLw2+q4tfkIImpqaWL58OW1tbWzZsiW/bfz48UydOpWJEyciNMHK1pWsaF3BitYVvLjrRcBzdx1TMIYzas7ghIoTmF42Pe/imXNdnm2L8+vdrbzVnaLY0JhfHOPaYSXMKXj/RKPsSy6dZtNbr7FtxVK2r16JmejG1PysC4+no3wSJ59cxwdnDX9fu3TadoLNW75Pff1fKS09mymTf4SuD+wxMRg52+GZNc38c2UDC9c0AzBlWIwzJ5Tx6TPGHPVTYLxfkCJvEKTIkxytuGmLxrsWo/hU9OIg5o44wSklKEE9L+rcPq5zSlBHLw1i1Sfw1cbQoj4vX3s2P49W2Wdn4B9xaO5zN2N78wF2ZXH6CDk7L+ZMcPe8ThSfilbo9+YI7JkbUO1Zan2Wg80P6GZtzPokbb9etae8qA+73QuyUn3HCShPfwWy3V4Ql15iw2HSxd7cfANY+Zq3bubxH/0v8VbPtWrS6fMZPesERkyfRTAq3wkHi+O4bHiziRf+7EU8jRYHGHdiBTPOqiEUO/AYDyEE1u7d5DZsIL14CZk1q8muWImwLLTCQgLTp6GXlRGaXYd/4gT848ah+vYt1+7oIPXGG8SffIrkv/8NgBqJEJw+Db2yivBJcwmffDJ6WdmhvQDHMW7awmxMkdvSRWZ1O3ZLGiWgE5xcTHByCf6xhQO6dcbNOH9f93de2v0SGzs3knNyTC2Zyl1n3EVtrHaAIx0CMp3QvhXq34ZEA7RuILV7Jy3tQZqs8TSZk2ixx2ILT0hFoy7V46JUjK+idloZ0eLAuxIHuVyOrVu3snnzZnbu3ElrayuGYTBmzBhmz57N2LFjUVUVV7isbV/LU9ueYlv3Npa3LidhJjBUg2ml0zih8gTqKuqYWTaTkBFidSLN3Tuaeb49Qcb1xu99cngpN9eUo79PrVfCddmxajlbly1h+cJ/IVyHuK+Q7f5qWkedyry68VwwtZLpwwuPdFWPCE3NT7B+/f/g91cwa9afCfgHH9qwP7KWw3PrmvnTGztYuqMTRwjmjCjmE6eM4IKpVWjv0/vvaECKvEGQIk9yNCOEQFEUhCto/N+3EJaLXhr0PiWBPt+DaD3hxlt+uQKnM+dtL/HyKUGdrkc2E5xSQsnHJw/t2I7ribaObP7j9H5vzyL6ztujKmgFPrQCP3qhN62EVtgzT2BhAL3AhxLUD0mPqpu1vYnl/V5jsu2Pa8iu66D6O6eCpuw5RsdWeOiT0LBsz84FNXDFb6D2pH3K3bz4Tf7xg+/sk37VbXdSM3nau673+w3hChY/uZ3F/9wzDrJmcjHnXj+ZYPTgBvQ7ySTpRYvIrllL6vXXsZqasBu9MTroOr4RIwhOnUJg8mSCdSfgH99f+AnTJPHvf9P9+BNkN6zHbmjMb+u1FsbOv4Do2Wcd1HyA73fMhiSZ1W1kVrdht2RQDBVfTZTwyVUEJ5cOGK2zI9vBN177Bi/vfhmAi0ZfxEcmfISZ5TPfm0rnEt7E8K3rcbe/TmdjivaGNE3pGnbkTiDueA3gaCBJbW2O2sklDJ8zBV/Ju5t/s6OjgyVLlrBp0yZaW1sJBoOMGzeOuXPnMmzYsPx7qzea6ZLmJbzd/DZvN79NR7YDXdGZXDKZusq6HkvfTJ7vcniwqYMXOhJMjQS5trqEa6pK0N6nlivwxvLtWruKNx99gPq1Xofg1vBo1kQmkqscz8dOHslH5tRQ8j6LJJlIrGXFihsRCGbP+jPh8LsLWtXQleGvb+3gsWUN1HdlGF4U5NuXTmX+hHdpoZe8I6TIGwQp8iTHCsIRoPKOhJIQgvqvvUpwagklH9sj8oTlYLdnsVo9l0+nr6DrykLvMCcVT6wVex+td1noiTo14kM5Qr14qbeb6Xxwo1fNkE7JdVNwuk3cpElwaila1Of16j92C2x/FXI9Ez6XToBTPw+zPtavvGwyydZli3njob/lB/sDVI4dzxVfu4PAIAFCJAMjhGDL0lYW/2sbHQ0pAOZ+YBQnXDh4MICh4CRT5DZtJLdhA9kNG8iuWUtu/XqE6YWjD0ydSnD2LILTphGcNQujunpPpDnLIrd5M92PP0Fuw3pSr7+RL7fgissJn3QSwenT8Y0Y8a7q+H7Cbs+QWtJMZm07drPnbhs+uYrQrHJ8NdF93lvduW5+uvSnPLDxAQCqI9VML53OhOIJXDHuCgoDhe9d5YWAZDO0biCzcwONm9rZvVNnZ2c13XYlKjYVwe3UVnZROz5E2aSxKMNmeMGe3sH7eNu2baxYsYLVq1dj2zaFhYXMmjWLWbNm7dMOEUKwtXsrbze/zZKmJSxpXkJrphVVUZlQNIG6ijqCsVP4Q0chDTmH6dEg/290FWcWy/ZMJhFn7cvPs/L5Z+jYvRPTF2F1YAzLCmYwZ/JIPnnaKE4fW/q+Gb+XzTWxYsWNZDI7qKt7kGhk4iEp94UNLfz4uU2s2NXFpKoYHz5hOB87aYQMhPMeIkXeIEiRJ3m/0PrbVThxE//oAm/8XmsGpzuXj16uBDTP8reXkPPEXGDAXvmjASdhknytgcyaNuzWTL9t/tEFlH16+p6ETBe88XN49e581D78MZhyKRSNgtO+1K/Rlmhv44U//IpNi17Pp+k+Px+/6ycUDxt+GM/q+GTX2g4e/+ny/LovqFN3/ggmnVpFMPLuw3W7uRypN97wpl9YuozM6lX5aR20slJCM2cRnDWL0OxZBKZNy8+5JyyL+FNP0fXgQ2RWr0ZkvPtIr6hAi8Uo/PCHKbzicjlB+xDJ7YiTXt5CZlUbbtJCLwsSmlFGaFY5ekn/a5hzcjyw4QHebn6bl3a/hO16HgKnDDuFc0acw0WjLjrgvHOHDdehe+Nadi3dxs5NGXY3F2C5PoJqN8N9y6mNbaVmJIRHjIOqGd6ncMSQhZ9t22zZsoUVK1awadMmLMti5MiR1NXVMXnyZLQB5oQUQrArsStv6VvStISGVAMAVWUL2BG6gm4RpC4a4DO1lVxcVvC+HZPWixCCxk0bWPb0E2x88zVcxyYeKuP18Azs6sl84ISRXHvKSIrDx/+UAabZwfLl15HNNTJ71l+JRMYfknKFEDyztpk/vbGd1za3o6kK379yOpfMGIYhxd5hR4q8QZAiT/J+oeOhjaSXtXhCrjSIUdbj6tmzVMPGMd0YcE0Hc0ccNeKN7Wv89psADPvWyQOOE8Kx4IkvQnw3bH1xT/q0q2D2x2HUGfkkK5vlrcce5K1H78+nnXPjzcw498LDdDbHL64rWPtqAyuf30VnUzqfXjW2gA9+cRbaIEE83il2ZyeZ5cvJLFtOZtky0osXA95UDoEJE4guOI/g1KkEJk1C8fkQQpDbtInMsuUkX3kZYZqkXn4FgIIrr6Ds5psxhg07pHU8XhGuILe5i/SyFjKr2zx38/IQkVOHEZxc4lnZ92JDxwYWNS3i/1v8/wEQNaKcWXMmF4y6gFOGnbL/6RgOM47t0rSli53LdrBrbRutLV5dSn27qDUWU+NbRpVvPdrYeZ5LePVsqDkJ/Ae2/mcyGVatWsXSpUtpampC13VmzpzJ3LlzKTvAuNGd8Z283fw2i5oW8XrDmzSoE0gXXIZjVDDGSPL1MRVcUDXukFyDY51MIs7iJx5h5+oVNG/ZhGMEWBaZwtriGVw8ZxzXzK1lyrDjO3qkaXawbPnHyWR2M23qzygpOf2Qlv/a5jZ+8dIWXtnURnnUz3cuncp5U97ZOEDJ0JAibxCkyJO8XxBCgOCIuVW+1yTfbKTrMS9Ef3BKCdH5NTjdJv5RMdSBIum9eBcs+hWk27z1aBVc+H0YeRoEi/LZXnvgr7z58N/z6+ff/CUmnXYm6gC97pIDU7+hk8fu9sZNqrrC6BllnHfjlMPW4eCm02TXrCG+8Bmyq1eTWbMGLAslFCI0ezahutmETjyR4LRpKD3j+nKbN9Pxpz/T9YDnWugfP57AlCkYw4YROeN0AlOn5q2CkoERlkPyrSaya9vJbfVcpv3jiwifUEFwUgmK0V/cCyFY076GP6/9M09uezKffu8593LKsFMObiqGw0Q6brJrXQe71nawc00bmaSNrjvUFuxgLP9itP4ymmJ7Fr6akzzhV3syxKr2W25jYyNvv/02a9asIZPJMGvWLObPnz+kNooQgm3d23hh1ws81tzG25yEq4YYlnmO+dEUC2rP4IzhZxDQA4fqMhyzdDU1svyZf7Hi2aewXcGq8EQWx2YwomYYnz97HAumDDyFy/GAbadYueomurqWMG3azykrPfuQH+PtHZ3c9fR6Fm3r4IrZw/n6RZMoeh9YS48EUuQNghR5EsnxiXBcup/aTvLV+n22hWaWET2zpt90FHlsE35/AdTvmdgZXwTGng1X/gFUlVRXJ7/74qcxM3vcQ2unzeSiz32ZUEHhoT+Z9wGtOxM8/+d1tO1KovtUymqizD5/BCOmlhzWhpabzZLbsIHUm2+RfnsJmaXLcJNJ1EiE8MknEZg2nfBJcwlMnoybzRJ/6imyK1eRfPFF7NZWABSfzxOGs2cRmj2b4PTpqKH3z8TVB4sTN8msbSO1pBlrd9KbeH1KKdEzhqMX7ys+XOHyyKZH+NHbPyJhJgD44bwfct7I897rqg+KcAVtu5PsWNPO5iUttNcnCYYVqspSjCtYwajcI2hdPfNCFo6A4XM8S191HQybBfq+gUAsy+L111/nlVc8S/LUqVM58cQTGXYQluS2bJIvrVnDs3Gv/GD8SSKp55lTUktdRR1XjLuCyvD728qSScRZ9vQTLH3qCXKZDE2xUSz1jcE/ZjqfmT+Oi6Ydn5EjXddi9Zov0tb278Mm9IQQPLhkN9/511p8usptl0zh4ulVx614PlJIkTcIUuRJJMc3TjyHuSuBVhig659bsNuzuHETrcBH2aenY3fmcDqzICA0p0/PrWPDusdhw1Ow6oE9BRbWela+uZ8hU3s2L//tD2xa9Dq5lBdUxAgEGTljFmdddxOR4pIjcMbHLo7tsvbVBravbGPnWm9iacOvUTW2gLM+MYlwweGPiCdsm+y69SRffonk8y+Q3bgRLAs1HCY4ezahOXMInziHwJQpOMkkmaVLyW3aTHrZUjLLluPG46BpBCZNIlRXR/EnPo5RPfhcge93rOYU8ed3kd3QiTBtQtPLiJwxHN+wfV0cbdfm7+v/zg+X/BBHOMytnMtnZnyGEypPOAI13z/t9UnWvFzPjrUdxFsz6H6N8TOi1JbUM0J/C73+NWhY6mVWDaic6gm+qhkwbDaUTQDN8zjIZDIsWrSIJUuWkEgkqKysZN68eYwfP37AcXsDsTqR5v9tqmdRdwqf4jLcfJNs8x+x3QwnVp3IKcNO4cJRF76vBV8unWb1C8+ybOE/6W5uxPRFeD06i9SI2dxyziQ+MPP4G1+2R+g9x/Rpv6C0dP5hOU5LPMttj6/hqdVNnDOpnLuumP6+i3B6OJEibxCkyJNI3n803rnICzqzF+GTqyj64CChpZf/Hbp3wWs/hR5rAkYYRp4KZRPZ2Bll3S6TzYvfzO9SUF7B6ddcz4STTzscp3Fck0mabF7SwsZFzTRt7cYf0rniK3UUDWR9PYwI0ySzeg3pxYtJL1pEetkyRDrtuXfOnEnoxDmeFW/qVNB1cps3e0Ffli0l8cKLuPE40QULCEyaROGHrkQvkcJ/IFzTIbW4ieTL9TjdOXwjY0TPGE5gQvE+QZ9s1+Zny37Gb1f/FoArxl3BV+Z85cgFaDkA7fVJNrzZxLrXG8mmLAy/xpjZZYydWURt8W6UxuVQvxR2L4aOLSB6whpXzfSE3/A5UHMibuFIli1fzqJFi2hubiYWi3HmmWcyY8aMIYu9bsvmf7c28seGdmoDOh+M7GbF9t+xvmM9AsHYwrGcVHUSpw8/nbmVc4/oGMgjhRCC+g1rWfyPh9i61BvDuyo6mY3DTuETZ0/jo3NriQaOn0nAXddmxcob6e5eyuzZfyMWnXrYjvX06ib+++GVJLIWd394Jh+cKTvADgVS5A2CFHkSyfsPuytLblOXNwVEUQAUaPp+j3umCtW3n9pvjJBwBW7CRAjQC/3gurD2MXjtJ7gN63BEGZrSiqrkoGQsich4XmifxKbFiwC48PP/xaRT5x2BMz0+qN/YyWM/8sbtnf/pqdROLcHwHZnGp7AssmvXkl68mNSiRWTeXoqbSqFGIvjHjye24DwiZ5+Db3g1dmcnHb/7He2//k1+fzUUovBDH6LgissJjD80ke2OJ4QjSC9rJvHCLuz2LHpJgPDJwwjNLEPbKwKr5Vj8ZtVvuGfFPaiKyoIRC/j6yV8n5js6/8uFEHQ2pdn4VhNrX2sgk7CIFPmZcFIlY+sqKKkOo1hp2LUI2jZ6c3zWv+19BwiVQs2JUHMiTaFJvLShg3UbNhIIBJg7dy4nn3wygcDQxtqtSqS5dtU2GnIWd4wdxtUVQV6rf43XG17nmR3PkLJSFAeKOaf2HGaUz2DByAX4tfef5aVl+1YW/eMhNi1+E8e2WR6dysqq0/jP8ydz9Ym1+A5xoKgjhW2nWLbsY6Qz25g180/EYtMPvNM7ZHdnmlv/tozlu7q4+sQavnnxFIJH6H1+vCBF3iBIkSeRSADstgwdD2zA3JlAKw4QGF+0ZwL4rizY3qsxclo1TjyH05nD7sziJq18GeHCFdhxgV9dQyT8PNmTb+Xee58B4LSrr2X8SadSVCkjM74T6jd08uzv1pDq9ubBGzO7nFMuH0Os9MhOa+C5d64j8cyzJF9+mdymTeC6+EaNIlg3m9AJJxA96yycri46/vIX3GSK7kceATzBFz7jDGLnnUt0wQIZvKUPQgjMXQkSL3iunCgQnFZK9LRqfMOj/fKua1/H7W/czpr2Nfg1P/dffD9jCsccoZoPDSEEu9d1suGtJrauaMXKOkSK/EyfX8OEkyoJxfoI2nSHJ/Z2veUJwPq3wUyCqrOr+FQWiemsatdRFIXZs2Zx3oIF+P0HFmSOEHxzUz2/rW9jfnGUn0yspdxvIIRgResKntvxHH9Z9xcc4RDUg5wx/AzOG3Ee54w456gIfPNekurqZMWzT/LWow9gBgp4KTid7IhZ/L+Lp3LO5IojXb1DgmV1s2LFDaQz2zlxzuMEAofvv0oIwf2Ld/GtJ9YwojjMz66ZxbiK6IF3lAyIFHmDIEWeRCLpRbiC+m++BrbAqAyhFQfRi/xoxQGcuEnypd1oBX70kgBaUcDbVhQg+cpurLYMRkUYqz6ZLy+qPUjcKuLJxrW4rkFEL8QfinDF/30XTT9+3H3eSzYtbub5P63DtjyXttopJZz7yckEwkfH9XS6ukgtXkzq5VdIvfYaVoM3h5l//HjCp5xC5Mx5+MePp/Ovf8u7gIIn+GIfuITKb34TRX1/NaAPhJM0SS9rIfHSbtykRWByCbH5Nfhq+jcKFzUu4oZnbgDguinX8anpnzpqrXp9sS2HXes62bS4ma3LWhGuYNSMUiadNoyaScX7TtbtOtCy1hN8uxbB7kV0drSxkDPYwBh0Bc4cF+HE087CqJ4J2gBTyPQghOCeXa38YFsTAsGPJtZyaXkhas/YZCEEm7s288TWJ3hww4MkrSSV4UrOHXEuF426iMklk99XQTRatm/lzYfvY9Oi1zEDBbwankHxzFP5+gemM6Hy2BcpuVwLS96+ElCpq7uPgP/wjtHc0JTg1r8tZXdnhts/OIUP1Q1/X91Phwop8gZBijyJRNIX4QpQGPCPRghxwD8guyNL1+NbyK7vGDTPq9n7GHnG6RRUVDFuzsnoPhlW+mDJpiwe+f7bdDal0QyVUTNKOfsTk9CPMrcfc+dOUm+8SWbp28SfeRaRyaAVFRGYOpXij32U0Ny5JF9+mY7f/o7MihUYNTUUXnklRR+9Bi1y4PnV3k8I2yW9vIXEi7ux2zL4xxYSnV+Df/SeCb83dm7k3uX38tzO5ygJlPDzc37OlJIpR7jmQyebsti4qIm1rzbQXp8iUuRn4ilVTDltGJGi/bhiJlth92KaNyzitY1trEyV4iPH5fqLTBw5DEae7n2qZgwo+nZlTW5YvY2ViQyzoiEenz0OYy9xKYRgWcsyntz2JI9veZyMnaEqXMXZtWdz5fgrj3rr6aGkbed23nz0ATa8/jJpX5RXCk9i7tln8x/njj/mpwnIZHay5O0P4/eXMXvW39D1w/seypgO33p8Dfcv2cWlM4fxncumEfEP3jEh2Rcp8gZBijyJRHI4EK73Kk2+3oCigd7wL+xlz9Flf44ndt1L2o4DUHf6HOZ99pu4GWufMUeSA9O4uYvHfrQMt+d6f/qn847YeL0DIRyHzLJldD30MPFnnvECuBgGkXPOJnzKKaihEPHHnyD50ksAxC66iILLLiN86imyd7sPwhVkVreReGEXVmMK34gY0fk1BCYU5a/Tps5N3Pb6bWzq3MSts27l2inXHuFaHxxCCFp2JFj7WgPr32jEtT3r3oyzaxg2rvCA90NLYz1PPf4I2xrbGRlIcpH9L8rsBvDHvLn6Rp4GY+ZD+RTosRwLIXikuZNb1u3kpIIwv5s2imJj4Ma25Vq80fAGT2x5gqe3Pw1AdaSaS8ZcwscmfYwC//E9oXgvLdu38tJffs/OVctoCVSyePjZ3HL56Vw+u/qYfmbj8VUsXfYxIpEJzJr5JzTt8M+r+I/l9fy/R1ZRHgvws2tmHfeT0h9KpMgbBCnyJBLJe0VuWzetv1wJqkugZBuNuwWGWkrEKATANzyEUR2jYMHIgSdslwzKon9uY/E/twFwyedmUDvl6I5iKYQg/dZbpF5/g9Qbb5BdtQqAwLRpBGfPxtqxg+yaNditrfhGjqT8K18hMv/MY7rheKgRQpDd0Eni+Z2YOxMYVWGi82sITi1FURWydpbb37idf279J7PLZ/Ob836DoR17z1UuY7PxrSZWvVRPZ2OKWFmQuR8Yxbi6CpT9zN8mhGDNmjUsXLiQVCrFKVNHcmpBM8H612Dnm2BnvGAuVdM94TfzGigYzvPtcW5as51Sn87vp41iYnj/417TVpqF2xeycPtCFjV57senVZ/GBaMu4JwR52Cox941PxiEEKx58Tle/vufSMe7WVwwC3XmOdxx+cxjepxZd/cylrx9JcXFpzNzxm9RlMPfebatLcWtf1vKpuYkX794Eh8/aYR85w0BKfIGQYo8iUTyXiFcQcMdbyJyNsawCDmSbFjzFhknweySc/ZkVKHosnGEDtCIk/Rn6cIdvPHoFgCqxxdyzvWT9+/idhRht7XR9eijpN98i/SSJYhcDn3YMIzyMswdO3E6OwEo+exnKLjkEvyjRx/hGh89CCHIbe0m8eIucpu60EuDRM8cTmhWOYqmcu+Ke7ln+T1Uhav4+klf54zhZxzpKr8jhBDsWN3O8ud2Ur+hC39YZ/r8GqbNqyYYHdwLwLIsXn75Zd566y0URWH+/PnMnjEVX9MyWPsP2PAkxOu9zOWTYcxZrBt2Bh9LVNNhOfyrbjyTI0MLcNSeaeehjQ/x2ObH2J3cTXGgmAtHXcjl4y5nXNG4Q3EZjlosM8eiRx/grX88REKP8XzJGXzwwnncfOYYAsbR6V1wIFpbn2Plqs9QXX01Eyd8+z05Zs52uPPJ9fzh9e1cMmMYP/jQdPz6sXn93iukyBsEKfIkEsl7yd7j+nasXM5D3/06kYIoHx+/kc627yHwhEmwspnwaVNwlGKC00pRj1I3xKOJdNzk7ae3s/L53QDM/eBoTrhg5JGt1EHiZjJ0PfooqVdfI71kCW48juL3o0YiOO3tAPjHjaX8q18lcuqpR7i2RxfmrgTxF3aRXduOVugnOr+G8ImV/HPrP/n2m98mY2e4dOylfPvU96bBerjYtbaD1a/Us31VG6qiUHfhSCafOqx/VM69iMfj/Pvf/2bFihVEIhHmzZvHzJkzMQwDMp2w5XnY9ByseRTsDF2Bcs444fektSCPjS9gavUgc4gOwoaODTy2+TEe2PAApmsys2wmV46/knNHnHvUzml4KGjfvZOFv/oZjRvWsjY6ic1jF/CtS6czf2L5ka7aO2Lnrt+zadN3mDb155SXn/+eHffxFQ3814MrmFpdwA8/NIORpe/tHKnHElLkDYIUeRKJ5Eiz8c1XeeLu7wFw5UcvolrpoOm1/tYGX5lDyadPQdtPj71kDy074jz/5/W0705SM6mIc66fst8G8NGKcByya9eRfOEFuh55BLupCXw+ML2pJLTiYgovv4zQiScSPu00GZmzB6spRec/tmBu68ZXG6Xwg2NRqwLcsPAGlrYs5YzhZ/D9M75/zIuNTNJk8RPbWPWSZ4mbfGoVs84bQWHF4OfV1tbGCy+8wJo1a4hEInz4wx+mpqZmTwYhoHk1bP43XZtf4uKy69gZqOLpLd9m8sgZMO0qqJwGQ3Sjyzk5ntr2FA9vfJjlrcsBuGzsZVw5/kqmlU47Lt3xhOvy5iP388bD95EKl/NgwVnMO2Ei37hoEuWxY8O7oBchXFau+ixdXYs5ae5T+P3v3ZQRS7Z38IX7lhPPWnzh7HHccNqo4/J+ebdIkTcIUuRJJJKjgZXPPc2zv/4ZAJNPn885H/4sTmsn+tI7aVr94Xy+YbeU4wRqsNuzCMvxxh/JP70BEULw2kObWfHvXQCc/uHxTJtXfcy6wAohyK5dS/dj/yD+zDM4zc1eQ7vP33b03HMp+fSnCE6bdgRrevSQ3dRJ5yObcOIm4RMqiJxeze8b/sIvVvwCy7X42Vk/Y17NvCNdzXdNqjvHsmd2svrlehzLpXZKMSd9cAxltYOPCWtsbOSRRx6hvb2dE088kbPOOgvfAJF+u7uauHjFDtpshz+t+SZzOhZ7GyZ/EOqu96J27meahr5s697mRefc/DgNqQYmFk/kmonXcN7I8wgbx5+lpn79Wv75k7tIxeO8XjmfjZHx/H8fmsH5U6uOdNUOCtPs4K1FFxCNTmXG9N+8p/853WmLrzy8goVrmrlsVjVfu2DiMSeUDzdS5A2CFHkSieRoYdealTxwx/8DYPYFH2D+dZ8GwOnK0vm7p8i2lA66b/TsWpzuHE5HFrMhhcjaRM6oxk3ZOJ1Ziq+e+L61AjZt7eatx7eye30n5SOiXPqfs4/aCJxDRQiBuWULiWefpfPRR7F37uq3XQ2FCEybRvF11xI58/0dsEVYLomXdpF8qxE3bROuq2DD1Bb+e9n/oyPbwZ8v+DMzy2ce6WoeEqycw5pX6ln5/G4SHVlKhkeYc+FIRs8qG/AecByHV199lRdffJFYLMb555/PpEmT9snXZtpcuXwzm9NZ7o608KFtf4Ptr0GqBYJFMPFimHoFjDoD1AM/W47r8HrD6/x1/V95rf41CvwF/z97dx0exfU1cPw7K9m4uyckSAIJ7lKc4locipeWYvWWQksLNWgpxd0dWtzd3Z1AIAlx92Tl/WP7o+UlgdhmN+l8nqdPk92dOyewWebMvfccevr3pHel3riYl60E6E1yMjPYO/c3Hl08S6prNdbL6tClXgUmdwosU60C4uKOcP3GCPz9vsTTc1ipn//Pq+FM2X4bmVTCn+83xMuu/N0UKCoxycuHmOSJRCJDolar+K1vFwD6T/sVZ7+KgPaiPu3gDYSzM5EpHyM11pBq+ykqqQ/Zj5NBJkHuZIrMzhiNUkPWnXgEuQTBRIY6JQfjQDvsBwbo80fTu3PbQ7i89ykmFnJaDQnAM8CwK3AW1P8qdT57d8g/D/5rhk/m6or9yBFY9+79n0721Dkq0s8+J/VEOOp0Jel1ZIzVfENURhTd/LrxVb2vymT1zbyoVWrunI7k9skI4sLSsHI0oU4HH/xrOyKRvrqkNy4ujpUrV5KamkrFihVp06YN9vYv31TKVqt5/85TdscmM9HbiU+9neH5Fbi7C25vg8RQEKQQ9I424avQokAJ3/O056y+s5q/Hv1Fem46Tdyb0LtSbxq7NUYilJ/lxzePHuDoisWoBClHrBuQ7FKN3/rUoJaXjb5DK7D7D74lPHwN9evtx8ys9Is/xaRm0WfhObKVapYMrk0VF/G6HcQkL19ikicSiQxNakIci0a/i3dwTXp8OfXVF5yZAwe+0n7tEoymzvsI1d950e8KQKPSIEi1F/ThX54CtQanj2sjtzdBo1Ij5HGh91/w/GESf868AoB3kD1vv1cNSRldvpkXjUpFxqXLJK5fT/q5c6iTkkAuh9xcjIOCcPvlZ4y8vPQdpl6pc1SkHgkj9UQYgq8Zv7utY2/MfhxMHJjfaj6VbCvpO8QSFXYvgYu7nhD5KBlzGwXVW3tStZkb0v/3GaBWq7l58yb79+8nIyODOnXq0KZNG21hlr+pNBo+uR/GusgE+jjbMq2iG2ZSqfaGwrNzcGsLXN8IOalg5gCOVaDeaPBv88Ylnem56ex9spc1d9YQkhyCQqrgwxof0rtSb4xl5WN5XlpCPMdWLeH+2ZMk2Pqyw6IJQ1sH82ELP2Rl4DNZqUzj3Pl2GBnZUrvWZiQSRanHEJmcSd9F5wiNz2DRwFq0CXQu9RgMjZjk5UNM8kQikSFaMGog6UmJNO4ziDpdeiD5/3fEVUo48Qsc//Gfx5p9Bg3GgPHLn2WJfz0i/VwkAFIrI1TJOZhUtcNuwH9zZi89KZttMy6TEpcFwKDpDbGwLR8Xkf+myc0l/dw5knfuJGXPXlAqATCpVQvX6dP+88le5r0Eknc/RhmbybkqD/iWWQD82ORHOvh20G9wOvD8YRKX9oYSdicBS3tjarTxIrCx6yt7VLOysjh58iSnT5/G0tKSTp064e//T/sDjUbD0og4vgt5TgMrc1ZU88H43wmKWg0Rl+D07xB+CdKitI87VIF3VoLD65NojUbDqYhTbH6wmePhxzGTmdGpQieGVRuGo2nZrFD5/z28cIZDS+eToYQN1m1w8/VlVu/qZaKCZErqLS5d6om7+0Aq+n+lnxiychmw5Dz3olL57Z3qdAgqX0t8C0tM8vIhJnkikcgQPb56kXNbNxD58D4AY1duQW6cRyKi0cDZuXB+ISQ/0z7Wfwv4t/7XSzRkXIwm62EiMnsTUo9q92/J7E0wqWqHMi6T3KgM5C5mmATaYRLk8MqFnzojF3WuGplV6d+51ZXTWx9x7eAzjM3ktBtZFbdKZWfZVGGp0tJJ/usv4hcvRhkdDYDc3R2XadMwrVvnP7uMU6PWkHE5mrTTESTGxDHZfz53JSGsbb+WIIcgfYenE7FhqZzZ+ojwe4nYOJvS5J2KuFexeeU9EBUVxV9//UVUVBTVq1enTZs2mJr+U7XzUHwKA248pqmNOeuCKiDLa0Zco4Hwi7D0n88jXGtA5Q5QZ7h2P99rhKWEsenBJtbcWYMGDe182tG7Um9qONYo1p+BIUiJi+HPH78lISqScx7tuCn3ZHLHAHrX8TD438ewsBU8ePgdQdUW4uDQ6s0H6ECuSk2fRee4/TyZtcPrl6llryVNTPLyISZ5IpHIkK38ZAxxz0IBGLfmT2Ty1+wZenQI1vTQfu3VWHshVa0nmL989zs3LpPoGZcAkForkNmbkP0o6ZXhTIIdUMZnait5ZmpngeTOZhhXscWqrXdxfzSDkBiVzoapF1CrNXQeXx2Pyrb6DknnMi5eJGradLLv3QNAYmOD7eBB2A0diiSP6or/BRqNhqzb8Tw/dJeRZpNIkacxzW8KrRt2KrPVWN8k/H4i5/4KIfpJCq7+1rQaEvDKjLZarebs2bMcP34cuVxO165dX5rV2xebzLu3ntDV0Zr5AV6vT06U2XBjE1xeod3LJ5FrK3TWHATejV/bkiElJ4U/H/7Jytsric2MpYptFT6p8wl1nOsU949Br3Kzstg37zcenD9NtlsAS2WNaFHVjV/fCcbC2HD3h2o0Gq5de5fklCvUq7sbExNPvcSRlq2k+7zThCVksmBgLZpVdNBLHPomJnn5EJM8kUhk6M5t3cDpTWsA6PnV97hWrJz3rB6AMgfOL4CDX2u/FyQQ2A26L3l5z55aAyoNglz7mDpbqS1GcSmKtLORoNYgdzFDZm+CzM4EQSKQfikKZWwmAI4f1sDIzVx3P3QpSk/OZs2ksyhz1fT4tBbOvlb6DqlUpJ0+Q+ysWWTdvKl9QCbDqltXHMePR2ZXPorSFJZGo+H+rZsMvDyULCGbMakDGNprDHInw19GVxQajYZHl2M4veUROVlK6rT3Iai5O1L5y/vDkpOT2bZtG0+fPqVZs2Y0a9YMyd+fJwvDYpjy6Dlt7S1ZEOCNSUH2lqXFwLW1cGUVJDwGE1ttsZZG48DaI9/DctW57Hi0g/nX5xOdEU2wQzBDqg6hhUcLg5/9yo9Go+HOiSMcWjIPmZ0zy0xbYG1nx8KBtfFzNNzP2KysSC5c7IKZmR+1aq7TWxxp2UpGr7nM9bAk9oxrgrtN2e59WRRikpcPMckTiUSGTqNWs3fur9w9deylx0fMWYalw2v2qMQ+gI39Ie4B2FaALnPAq2GxYsmJSCPmj6so/KxxGF5+erHFPE1h38JbpCZkUbeTD5XqOWNpb6LvsEpF9pMnxP42i9QDB7QPSCSYNW6Mda+eWLRs+Z9ssJ6Rm0H3bd2IyHrOmOi+9K7cG/NGrsjsyud7Iis9l7N/hXD3dCTm1grqd/XFv47TS4mTRqPhyJEjnDx5Em9vbzp37oytrXbme3tMIuPvPqOOlRmbqvsV/MQaDTw8AKdnQ8RlUGaCW20I6g3V+4Ei7yRHrVFz9NlRVt9dzeXoy1S1q8rYmmNp4NqgWH8O+hQV8pDtv3yHUq3hiEdHbmVb8lvv6rSvZrj7zSKj/uLOnY8IqrYAB4fWbz5AR5Izcmn3+wmcrYzZ+l7DclVMqyDEJC8fYpInEonKiqz0NJ5cucieOTMB8AgM4p3J09984I1NsHMc5GaAf1voseSV4iyFEf75Se0XMgmOo4JQZyuROZgitTQqs3fTQdtjbP/iWzy9FY8gQPvRQXgH5d+bsLzJjYkhcfVq4hcvefGYxN4Ou0GDserSBblT+Sh6UVDZqmxG7B/B1dirDEjoSL/49lg28cCimTsS47LT36wwEqPSOffXYx5fi8XV35rGvfxfaaj+8OFDtm3bhiAIdO7cmcqVKwOwKCyGyY+eMy/Ai+5ORdgflZ0K19ZpZ/gir2sfq9oT6o0Cj7r5HnY+8jy/X/mdm3E3qelYk/G1xpfZPXtpiQnsmDGNmKdPiKnSmnWpnoxp7sfE1hUNMnH537LN1LQ7NGp4HKlUf7NoZ0Pi6bv4HKOa+fLF26/2eizPxCQvH2KSJxKJyqIDC2dz88gBBvz4O04+Fd58QHo8LGwKKeHa7yu0hLojoVK7Qp9bmZBFzJyrqDOUrzwnczLFaUx1BHnZbTaeEJnO9llXyUjOwaWCFU36VMTBw+LNB5YT2Y8eET5+AjmPHmkfkEhAo8GsYUNsBw3ErGnTMp3MF0ZKTgpfn/qaI2FH6G7ageE3OiCRyrBs5Yl5A5dy24rk6e14jq29R0ZSDlUau1K/iy/GZv/sEcvIyGDz5s2Ehoby1ltv0aRJEwRBYNSdpxyNT+FA7Ur4mBajSFPcQzjzB9z+E7JTwDEQGrwP1d4B2av7RjUaDcfDjzPv2jzuJtylgUsDPqjxAcEOwUWPQU9yMjM4tnopNw/vR16rDb8l+NIm0JmZ71Q3yObpGRlPOXuuFRV8J+Dt/b5eY5m8/RZrzj1l+weNqeb+31h2D2KSly8xyROJRGVRwvNwlk94D4CJ63cUfEndk5Nwaan24gnAoz70XAZWboWOIetBIhq1BmVsJsq4DNLPR714zrqbH6Y1HJEYlc1kLz05m30LbxH1OBmABt0rULPNf6vlQNrx48TMmEnO06eg0SC1sUEZE4NxUBB27w7Gok0bBJnhXXTqwsrbK5lxaQY17Wrwc+Zn5F5JQOZginVHX4wrls+qfspcFTeOhHN5bygSmYSG3f2o3MD5RYKvVqs5fvw4x48fp0KFCnTv3h2lkYLmF+8jEwQO1amEpayYv/8qJdzdrq0eHHYe5GbQZCLUehfMXp1lV6lVHHh6gCU3l/Ag8QEtPVsypvoY/GwKsYTUQFzcsZUTa5djXa0ef2TXxMnWgmVD6uBmbXhLhu/e+4ro6B00qH8EhUJ/xU+yclV0nXuahPQcjn3yFqZG/43PJzHJy4eY5IlEorJq0QdDSI2LBWDCuu1IpIW4oFKrYdsIbfNiAIkMJt4D86L/A63OVJJ2OoKUQ89ePGZc2Ra7QQFltkJhdqaSJRNOAPDuj40wsy4/LSQKShkbS8Qnn5Jx7hzmrVujSkwk89Il5O7uOH7yCRatW/0n9u2tvrOaGZdmoNaoWVBrDv6nrMkJTcG4si1W7X2QO5bPgg/pSdmc2faIBxeicfW3pvmAylg7/fOzhoSEsHXrVqRSKT169CDVzpHuVx9R28qM1dV8826tUBSRN+DiEriyUvt99QFQZyi41nylMqdKrWLX4138evlXUrJT6OLXhferv1/m+uzdPX2cA/N/x9TJlTW2HUjXyFgyuA7VPaz1HdpLsrOjOXO2Ja4uPalU6Ru9xnLneQrtZ5+kVy13fulV9mZyi0JM8vIhJnkikaisUubksOqzsSQ+D0emUNB54pf4VK9VuEFiH8DpWdp9MABvfQkNPsi34EFB5ESkkXr0GZm34gFQ+FvjMKwaGqUaJEKZS/jC7iWwc/Z1NGoNjXr6EdzS8PtYlTSNWk34B2NIO3oUk+BgrLp3I2nLVrJu3kTh74/NoIFYvt0eqXn5rEL5P+cizzHh6ATSctMYVnUYI6T9SN71GHVaLqY1HbFs7YXMJp/Kt2XcszvxHFl1j/SkbGq09qReF1+kMm1yn5KSwqZNm4iMjKRJkyZQrQb9bz6hm6MNs6t4IinJ35e0WLi6Gi4u1S4/N7GB+u9rl5+bWL/00hxVDstvLWflnZUo1Uq6+3dndPBorBRlZylfVMhDtkybhJWLOzuc2nMjJocZvYLpFOyq79Be8iR0Lk+e/EG9urswM9PvzOnKM6FM2XGbef1rGnThmpIiJnn5EJM8kUhU1p1Yu5yLO7YC0Gr4+wS3bl/4QZ6dg40DIT0GZMbwzirwb/Pa3lVvolGqiZh0GgCJhRx1ai4ADqODQaVBUYZaFcRHpLFtxhVyMpVIZRLe/anRS3uU/ivSz54l4tNPUcXG4fT1JIyrVCFu3nzST50CwHbwYOyGD0PmUH77VaXlpDHq4ChuxN3gi7pf0KdCbzIuRpFyNAx1phLL5h5YvOWBICt/s5s5WUquHnjGpT2hOHha0G5k1RdVaFUqFcePH+fEiRP4+/sjNG3FxEeRjHR3YKp/4ZeDv5FKCY8OwoVF2mXoUiPwbgRtp4O9/0svTclJYfGNxay7uw6ZRMbAgIEMqzYME5nhLX3MS+Sj+2ybPgUrFzfOVezJ7nsJTOoQwLDGPvoO7QWVKouz51piblaR4OBler0RplZrGLjsPFeeJrFldAMCXcvOvzVFISZ5+RCTPJFIVB4kRkawbPwoAFoN/4Dg1m8XbaAnJ2HrcEiL0u5/6TQLqvUqcrKXG5NB0o4Q5M5mZFyPRZ2a8+I5ly/rIbUsO823VUo1Z/8M4frhMEws5PSdUg8T87ITf0nR5OYS9f00kjZuxG74MBw++oickBDiFy8m5cBBNJmZmNSsiePHH2Nas2xWOXwTjUZD/z39uRl3k8kNJtOrYi/U2SpSj4WRejQMQSHFvJEr5o3ckJbDmwHRoSnsW3iT3BwVjXr4v7RX78GDB2zcuBEnJydCGrdhZXQSu2v6U8tKh7O8qVFw6Ftt0pceCwFdtT333Gq+9LKYjBh+u/wbux7vwtbYlvE1x9PVr2uZmJmPuH+XbT9Mxt7Tm2c1+zD/XBTDGvvwVfsqBlN5Mzb2ADdujqZq4O84OXXUaywZOUq6zT1DrlrNkY/e0mssuiYmefkQkzyRSFReJDyPYPkEbaJXo10nWgwZVbSB1GptcZY9H2u/920OHX8D2+LdNdZoNGQ9SEQZm0nyrsdIbRQ4f1KnzC3fPLc9hMt7n2Juo2DwD430HY5eaNRqoqZ8Q9LmzcicnHD/YzYmQUGoUlJI2rqN5G1byX74CJNatbAb8i7mLVqUu317KrWKWmtqodKo2N1tN56WngDkRqWTdi6SjCsxIBGw7uyLaQ3HMpFIFEZWei6nNj/k/rko/Go70nxAZYz+bi3x/PlzVq9ejdTYmE21W5CmgYO1K+FmrOObIrmZ2jYMZ/6AxCfg1QjqDNcmff96/4Umh7LgxgJ2P95NDccafF73cwLsAnQbWwl4/uAuf/38HQgCii4f8v3peNoFOvNb7+oYG0hF42vXhpCRGUqD+kf0/p4/cDuKkasv83uf6nSproPZZAMhJnn5EJM8kUhUnuRmZzF7UE8AGvTsR8Ne/Yo+mEYDez+DCwu13ztXgx7LwKFisWJUpeUQ+f35lx5z/aZBmeo9dmDpbR5ejMa/jhOthwbo/WJGX5K2/UnML7+gSkrCulcvHMZ+iMzeHo1aTeq+fcTM+p3cZ8+QubrgMHYsVp06IRSmQJCBi8uMo8tfXVBIFSxvtxwvy38qsKrSckja9ZjMa7EYV7LBqqMvcofyVZxFo9Fw/1wUJzY8wMxaQZthgS/66sXGxrJu3ToiclWsqdWcLo42zA/0Lp3A1Cq4tQ1O/AJx98HaC5p9pm2yLv3nc+Zc5Dl+uvATIUkhdKrQiY9qf4StsW3pxFhEaQnxbJr6BWq1GtfBXzJ+231qelmzeFBtLIz1P2uckHCaq9cGUT14OXZ2TfUai0ajofVvJzAzkrJ9TGO9xqJLYpKXDzHJE4lE5U1KXAyLPxgKwFuDRlCzfefiJSFpsbBxAISd034f3A+6zivefj21hqTtj8i4GosmRwWA3N0cZUwGDiODMHI37L50ylwVG6ZeIDk2k2b9KlG1afm9S/wmGqWSxHXriJ7+AwAu33+HdU/tjQaNRkPG+QvELVhAxrlzyF1dse7dG+tePZHZGvbFdEFdj73OoL2DUGvUfFz7YwYFDHrp9y3zTjzx6+6BUo1pbScsW3kisy5fxVmSojPY+cc1UuKzqNfJl5rtvJBIBLKysti3bx+rY1M47RfEwgAvuhSlUXpRaTTw+BicnAmhJ8HGB5p9qu2393eyp1Qr2fxgM39c/QMBgbE1xtKzYk+kEsO9GZEYGcG6SR9j4+KKT98PGbn5Pj72ZqwYUhdbM/0uIddoNFy40AGZzJJatTboNRaAjRef8dnWm6wfUZ8GFez0HY5OiElePsQkTyQSlUfJMdEs+XAYAB3Hf0alBk2KP2haDCxto10G5VIdOs8G56DiJXsaDSkHnpJxQ7tfT5OjBsD5szpolGqDnvnQqDUsHHccVa6a7h/XxMXPWt8h6VV2SAgR48eT/fARCn9/3OfPx8j9n+Q389ZtEpYtJfXgIRAErLp0xm7ECIw8PfUYdclIyUnhu7PfsS90H+NrjmdYtWEvPa/OUZF+PorUY89QZ6kwr+eCZTvvMttHMi+qXDUXdj/hyv6nuPlb02pIAOY2xmg0Gg4dPsy38VmEOriyrXoF6trqoRBG5HU4/jPc2wVWnvDW59r9xn83V0/ISmDW5Vn8+ehPqthWYVL9SQQ5BJV+nAUU+eg+f/38HWY2tgSN/IJh625hZ27EyqF1cbHSb0GZ6Ojd3Lo9ltq1tmJlVV2vsShVaprPPIa5Qs6uDxsjLWPbAwpCTPLyISZ5IpGovMpISWb+iP4A9Pt+Ji7+lUpm4JO/wuFvtV+b2kHzr6D20GIle/8Tt+oOWXfiX3zvMLIaCl/rYo+rK5GPktg24woArYYEUKmes54j0i+NUkn80mXE/vYbUisr/I4fQ2L88qyVMjGRpM1bSFi5ElVyMtY9e2A/ahRyl7Jf6nzisYkcfHqQr+t/zTuV3nnleXW2krQzz0k9EobEwgjrDr6YBJav2YXw+4kcWn4HZY6K5gMqU6GmtjfduStXGRaRgtLYhMP1A3G30FO7jadn4cxsuL8HLFy0jdUbfAAK7eqBazHXmHZ+GvcT7tOzYk/G1RxnsC0XYp+FsvGbz3D08qXGiE8YuOIqxnIJ60bUx1WPTdM1GhVnz7VGoXCmVs11eovjf86GxNN38Tlm961BZwNrPVESxCQvH2KSJxKJyrO7p46x548ZAExYvx1JSS1BSo2GkCNw+neIvat9rPdaqFK8imqaXDXpV6IBSPrzETJ7E5w/rl3caHUq4Xk666dq9xjWbOtJg2767RFlCNJOnCBs5CgUlSvjuXwZMptXl+ips7JIXLuW+EWLUaWnY92tG/YfjkHuWLYaVv9bpjKT9tvaE5cZx8xmM2nj3SbP1+XGZZL01yOyHyVhXMkGy3Y+GLmUnx6DWem5HFtzj5CrsfjXcaJxL39MLY04ce8B/cNTcM7OYFvdKnjos9VG9G3tnr3bf4LCChqPg7qjQGGOSq1i3b11/Hb5N4xlxoyrMY5elXohEQyveFD4vdts/f5rfGrUJnjwWPotuYBcKug90QuPWMf9+19Tv94BzMwq6C2O/+m98Cyxqdkc/qhZudtDLSZ5+RCTPJFIVN6d3bKeM5vXYuPiyuAZc5HKSnhz/uHv4KQ2kcTcCUadBAunYg8bMfk0mhw1Ll/XN/gy9Bq1hjWTz5ISl8WIWU1fVBn8L0s7eZLnn3wKEgkeixdhEhiY5+tUaekkbdxA3KLFqDMysGzdGvsPx6DwMZweYIURnxnPW5veQiaRsbnjZvxs8k76NRoNmbfiSd79GFVSNqY1HbFq543UUlHKEeuGRqPhwfkojq9/gJGJjDbDA3H1s2ZzyDPGh8bimxjDmjoBeHl5vXkwXUp8qp3Zu7xS21i96SdQazDIFMRmxDLn2hy2PdxGgF0AUxtOpZJtCa2IKEEhl8+zfcY0qjVvQ6UeQ+i35DyCAOuG18fDVj9L3lWqLE6faYqtbSOqBv6mlxj+7fSjOPovOc/MXsH0qOWu73BKlJjk5UNM8kQiUXmn0WhYMGogGclJADR8pz8NevQt2ZPkZmmLG5z4Wft9vfegxdegMC/ykOkXo0jc+hCJqQzXyQ1KKFDdCbuXwI5Z1/Cr5UibYYFlrjWELmQ/fszj9h2QmJnh+Nmn2Lzz6hLG/1GlppKwYiWJGzagio/H+p13sP/gA+ROZW9mLzYjls5/dSY9N50/WvxBM49m+b5Wk6si7XwUKYefgVKNRTN3zJu4I1GUj/166cnZ7J57g9hnqVSo6UDrYYGsDIviyycxNH54nXFVfGnUqBESfbfYSHoGR3+AGxvA0h2aTIAag0Aq42rMVb498y1hqWF8VvczelXsZXCzQbeOHWL//FnU6dwD3/a96b/kPDlKNetG1MfHXj+zxE+ezCH06TyaND6PTKb/Ylqtfj2OrakRm94z/H9PCkNM8vIhJnkikei/QKPRcOPQPg4tmQtAk37vUrdLz5I/Uex9ODsHbm4BOz/otwksi7bXSqNUE/nDedTpShzeC0LhbZj7Yv5Ho9awbcZloh6nAPD+vOZiood2D96Tbt1RRkVh2b49TpO+em1lTXV2Nonr1hM3fz7qzEysOnTAYeyHyF3L1l6a0ORQhh8YTnRGNPNazqOJ++uLH6nSckg5+JT0i1FITORYve2DaU3HcvEeUinVbP35MrHPUnHysaTNsECmxsawITKBjtdO0KmSH2+//bb+Ez3QfoYd+ka7Z8++ErT+Fiq2I1udwy8Xf2Hj/Y00cm3ENw2/wdnMsPbgXtmznaMrF1Ov2ztUeLsXA5deIDUrl40jG+Cth0QvMzOCM2ffwt//Szw9hpT6+f+/lWdCmbLjNic/ba63GU5dEJO8fIhJnkgk+i/Jzcpi9mBtctd88Ahqtu+imxNF3YR1vbVf99uo7bFXBKrUHCKnnUfmaILzRO3ePHW2CkEuMdiL30PL73D/fBRm1gre/fG/2Sz9/9Pk5hI7ezbxi5cgtbfHd/tfyOxeX3BElZxM/NJlJG7ciCYzE5sBA7AfNRKplWEn+/+WkZtB7129CU0JZVHrRTRwffMMgjI+k6Rdj8m6m4DczRy7fpWR2em3WmJJiXqczIGlt8nNUtFsaBU+yIwnPDWdLqf2UKNyJXr27Gk4M2TPr8HBr+HJCfBpCu1+AqcAToaf5Jsz35ChzODTOp/S1a+r4cQM7F8wm1tHD9B54pdYBdSkz6JzZOao2DSqgV4Sm1u3xhEXf4zGjU7pfTYvJSuXoG8O8G3nQAY39NZrLCVJTPLyISZ5IpHov+bhxbPsmDENAM+qwXT7/Btkch3seUuJhPW9IT4Eei6Dim2LNMzzqWcBMPK0JDcqHVVSNgA2PfyRu5ghdzJDkBvADMC/bP35MlGPk/EMtOWt/pWxsC1ffdGKKvPmLUJ79QLAc9lSzBo2fOMxqrR0ElasIH7ZMgSZDPtRI7EZMACJomzsXQtJCqHf7n7kqHNY0mYJtZxqFei47NBkEjbcR5WcjXVXP8zqOhtUMlFUWem5HFx6m7B7ifj08mUIiXQx0uBycDs1atSgc+di9vUsSRoNPNgP+7/Uto6pOQhafE2yTM7PF39mR8gO3nJ/i68bfI2jqWEsK1arVOz87QceX7nE2x9MwKZaPXrMP4NMIrDpvQY4WpTuZ1F6+mPOnW9NxYpT8HAfVKrnzss7C8+i0WjY/N6bP3vKCjHJy4eY5IlEov+i3OwsFn0wlKzUFAKbtaLd++N1c6KcdNg6HB7sg3Y/Qr1RhR4i9WQ4aaeeI3MyRe5sRtqJ8FdeI7VWYNOrIgpfK4O5QDy4/DYPzmsrhXYZXx33yuWj+XdxZVy9yrMhQ9FkZeG7ZzcKX98CHaeMjSV23jySNm1G5uiIw9ixWHXuhCA1/L1rsRmxdPyzIyqNih1dd+BqXrClp+qMXJJ2PSbjSgxyd3Ps+lVBVg5uGKhUak5ueMDtk8+52d6BvyxUfGSqIX3vdpo3b06zZvnvYdQLZQ6c+R3O/KFN/Jp9CnVHceT5Kb49q20n82OTHws0U1saVMpc/vrle0KvXabrp18j965Gr4VnsDYxYsPI+tiUcsP0a9eHkZubRJ3aW0v1vHlZcDyEH/fe4/yXLXGyLPu/SyAmefkSkzyRSPRfpdFo+LVPJwBGLViFuY2OkhC1Cg5O1u7VqzsK2v0AxWjloFFrUMZnok7NIe1cJOq0XLIfJwMgdzfHaUyNkoq82EKuxrBv4S0kEoH35rxlsEtMS1tudAzPhmoTPe8tm/NssZCf7CdPiP1tFqkHDqCoVAnnb6ZgWsNw/s7zE5cZR48dPbA0smRnt52FOjbjRixJO0PQZKux7uaHWQ3DmDUqrjunn3Ns7X02tbUmxd6IaVlRnD95krfffpt69erpO7xXpcfDselwaRnY+EDbacR71OHL019x9vlZhlYdygc1PkAu0X81YI1azZ8/fUv0kxAG/vg7UUoFvReexdXahLUj6mFpXHoxxsTu5+bN96kevAw7O/0m8DEpWdSdfpjP367Me83039qhJBQ0lzGs9S4ikUgk0hlBEOj3/UwAFr43iNDrV3RzIokU2k6DDjPh4hJY3xeyU4s8nCARkDuYovC1xq5fFRxGBmHbtzIAueFppJ19XlKRF1uFGo60HFwFtVrDvPePkp2p1HdIBkHu5Ij7H7NRxscT2qMn2Y+fFPhYhY8P7rN/x3vjBgSZjKd9+xHx0cfkRkToMOLiszexZ0S1EYSmhLLw+sJCHWsa5IDzxNoofCxJ3Hif+NV3UCZl6SjS0hPQyJUu46vT/moG0Vk5HLHzJSgoiL1793LhwgV9h/cqMzvt59h7p8HaA9b3wW7LcOZX+5BxNcex8vZKBu8dTFhKmL4jRZBIaDt6PBKJhN1//IKvnQmrhtXlaXw6Q5ZfJCOn9D6LHOzboFC4EB6h/8bojpbGtKrixJ6bkfoOpdSJSZ5IJBL9h7j4V6L+3+0Utk6fTPi927o7WZ3h2mqbT8/AktZwd1eJDW0a7ID90KoAJG0PIf1SdImNXVyVG7jgVkk7U7Xqi9N6jsZwKHx98Vq7Bo1KxZOePcm4crVQx5sEB+O9aSPO300l/dQpHrVpy/OvviI30nAv3gYEDKCpe1PmXJvDvGvzCnWsxESG3buB2PapRPazVKJnXibl0FPU2SodRVs63Cra8N6YmlRMUrM2PomAgKbUrVuXPXv2cObMGX2HlzenABj4F/TdAElPkSxswrBnd1jV/A+SspPotasXO0MKN1urC2bWNnQY9ynP79/j4OI5BLpasWpYPe5GpvD+2iuo1KWzeE8QBDw9hhAffwyVSv83J96q5MCN8GRSs3L1HUqpEpM8kUgk+o9p9E5/BvwwC4C9c35Fp6v2/VvBkD2QEgEb+8P8xpCRUCJDG1e0wWF0MACJWx6QeSuuRMYtCV0n1MAz0JacLBUPDSgB1TeTwEB8tm3F2N+fp/36kXH5cqGOF6RSbHr1wu/IYRw//pjUffsJadOWqO+noYyP11HUxTOnxRyCHIKYf30+t+MLd1NFEARMqzvi/FEtzBq4kHI0jJg/rpITVvSZcUNgaW/CwqaVUEsEvtv/ADfjajRo0IADBw6wb98+3X4mFZUgQKW34f3z0Hoq3NhEtbX92OzclpYezfny1Jd8fvJz0nLS9Bqme5WqNBs4lFtHD3LtwB6qe1gzt19NTj2M47tdd0otDnv7Fmg0KqKj9Z/8Nqygrey74YL+Z1xLk5jkiUQi0X+Qk68f1dt2ICU2mvPbNur2ZC5B8PFDCOoD0TfhZ1+4sFi7d6+YFF6W2A0JBCB5X2ixxytJ7UcHAXBgyW0iQ5L1HI3hkNnZ4blsKSbBwTwdNJjkHTsKPYbEzAy7Ie/id+woNgMGkLR1Kw8bNSZq2nRUSUklH3QxCILA4taLsTW2pf/u/qg16kKPITGWYd3eF6dxNREUUmLmXSPlWBiaUpqZ0YWKDuYMcLHlWDVTNh98jEVaBVq2bMm5c+c4fPiwYSZ6ADIjaPghfHgFArtjdvAbpl07yI8V+nDk2RH67enH/YT7eg2xRrtO1Hi7E4eXzefBuVM0r+zIlM6BrDwbyupzT0slBlNTH2xtGvH02ZJSOd/r+DqY42JlzMXQkrnBWFaISZ5IJBL9R7V4V1v58vSmNWSk6DgJkRtD94Uw+ix4NYI9H2uTvbs7QV34i95/M6lki8RcjjIuk8y78aizlCiTs/V+ASyVSeg9qQ4A2365TFqi/pctGQqJmRlea1Zj2b49zz/9jLjFi4s0jtTCAqfPPsXvyGFs+vUjacsWHrVpS/yKFajS0ks46qIzlZsyvuZ4VBoVQ/YNQaku2v4ouaMpjqODMW/iTsq+UGJmXyX7cVLJBluKpld0x9dMwf7WNlw+8ozMB7Y0adyUU6dOceDAAX2H93rmDtBpFow6AVZudDj0M5s0Lsg1Gvrs6sOaO2v0lqgKgkDzQSOo3LApO2f9ROSj+wys78XA+l5M2X6Lw3dLZ3WBg2NbMjIekZFR8D24utKuqjMH7kSX6t5EfROTPJFIJPqPEiQSek76HoD5I/qjLoGZtTdyCoAhu6HbQlDlwMYB8FugtrdeMdj2rgRA/Mo7PP/mLFE/XCB5n/4vLOzdLegyQVsJcuUXZ8gRC7G8IMjluHw3FZPq1Ymd+SsZV4peCEhmY4Pz5K/xO7Afi5YtifnxJx42akTCmrVoinkToaR08+/GoIBBXIm5wvTz04s8jiCTYN3eB8cPqoNMIHbxTZL2PkGTW/b26hlJJPxe2ZMwQU1qf28eX4sl7rw59es25OzZs5w6dUrfIb6ZczXtfr3ea/GODWHdrfP0Nq/ATxd/YuyRsSRmJeolLEEioc2oD7G0d2TvnF/JycxgSqdAWlZxYuz6q1wPS9J5DM5OXQCIizuq83O9Sb+6ngCcf/Lfmc0TkzyRSCT6D/OsGoytmwcAh5fOL70TB/eBLyKg9lBQZsEfNWFDf1AVbWO8sb8NjmOqY9HCA8t23gCknTGMghzulWxo0tsfgMUTTug5GsMiMTbGY8F8pA72PO3Xv1BVN/Mic3DA9YfpVDh4AMsOHYiePp0nPXuSde9eCUVcPJ/U+YQe/j3Y/GAzP134qVhjGXlY4Ph+daza+ZB2KoLo2VfJidDvfrCiqGllRj8XW9ao02n3cQ3SErOJOGpMQKUgDh06xK1bt/Qd4psJAlTpCB9cQNHgAz6/dZQ/MmRci7pIz509uRR1SS9hyRXGdPtsMmmJCeybPwsJGmb3qYG/kwXDVl4iLCFDp+eXycywtW1CTOx+nZ6nIPwczZFLBY7cjdF3KKVGTPJEIpHoP0wQBIb8Oh+FqRk3Du0jK60ULxIlEuj4G7x/FpyD4N4uWNEBQot2997I3QKrNt5YvuWBWT1nUKpJORZGbqxuL2QKIqi5B67+1gCc3PhAv8EYGKm1NT5btiB3d+dx+/akHDxY7DGNPDxwnT4Nz+XL0eTk8KRrN55/8SXKRP3MqvzbV/W+wsnUiTV31xT74l+QCFg0c8dpbA0EuYSY+ddIPRluuPvZ8vGRtzNpSjV/ZCbTb0o9LG1NSDxvi6ebD9u2bePRo0f6DrFgjEyh1RR47xRvGbuw+fEDPDLTGbZ/GPOvz0dVGqsl/h97Dy9aj/iAh+fPcHbrBkyMpCwdXBszhZRByy7ovOKki3N3kpMvkZn5TKfneRNBEHCzNiFdXK4pEolEov+SDmM/AWDusD4oc0u5zLSFM7x3ElpMgrDz2kRv14RiDWnkqW0Qm7IvlMTNhpFUdZ1YAzNrBTeOhhN603AqgRoCuZMTXuvWYhwQQMT4CcTOm4eqBG44mNWri+9ff2H/wQekHjpESOs2JK5fr9clnHKpnN3dd+Nm7sa3Z78lI7f4NyHkTmY4vl8ds9rOJO9+QuzCGwZxc6Og3IyNmOjtxNrIBG6pc+k8vgYObhZkXfPAxdGdLVu2EBNThmZgHKvAu7tx7rKQpQnpvJeUxMJr8xm6711iM2JLPZwqjd+idqfunN2yjrunj2NnrmDFkLrEp2UzfsM11Drcv+zg0Bqp1IzIqO06O0dB1fWx5VbEf6cIlpjkiUQikQifGrWxdHAC4PEVPTUlbvoJfBkJDpXh0jJY2wvCC1di/3/Majnh8lU9FP7W5DxLJeNm6V9Y/X+CINDri9oA7J57g8zUHD1HZFjkjo54rVmNVbeuxM3+gwe166CMLf7fmyCT4fDhGHx3bMe8WTOivp3Kkx49ybx+vQSiLhqFVMHclnMJTwvnu3PflciYgkyCTVc/7IdVRZ2eS/SsK2Tc0P/7vqDGeDpRycyYbx9FoDCR0Xl8dTwD7Mi64Y4EKZs2bSIzM1PfYRacIEBQL6Tvn2d00HssiY4nPOoqPf/szI3YG6UeTtP+Q/CuXosjyxaQlZ6Gj70Zv/epwdH7Mcw6/FBn55VKTXB0aEdU1Da9zzAHuVvzIDqN9Oz/xmyemOSJRCKRCIBhvy8C4PSG1fr7x9jIFN4/By2+hocHYEkLuP1nkYaSWhhh1c4HgGwDaWFgZqWg7QhtE/cTGwxjhtGQSExNcf3+ezyXLwNB4GGTpsTMLJlejnIXF9xmzsBrzWpQqQjt3YeYGTNQ6ylxqGBdgT6V+rDr8S72h5bcniVjfxscP6iOSaAdCevvEbfyNqo0w7+hIJMITPR24lJKBntjk5DJpbw9shp+wS4owquQmpLGggULylaiB9rPtOZfUHv4KdYb+eOeFs+7ewaw6XrRKsoWlSAItBn1IRqNmj1/zECj0dC8siPjW1XkjyMPdVpx09mlG5mZz0hOKXpxpZJQ09MGgCvP9L9suzSISZ5IJBKJAJBIpVSoXZ+E5+H8+eM3+gtEEKDpx/DR30nQ5nfh8ooitVowcjNH7mwGQolGWCx+tRyp3NCFR5djuH0yQt/hGCSzBg3w3bUT48BA4hcv5vmnn5XYEkvT2rXx2boFhwkTiF++gpB2b5Oyd69ebmx8XPtjAu0C+fj4x4SllFyjZomxDNu+lbHp7k9OWCoxc66RFZJUYuPrSmcHa6qZm/DlwwhisnORyiW0HR5IleremERWJjk5mW3btqE2kIqphWLrg2P/baxoOJ0umUq+uzabKdv7kpVTestqLWztaTPyQ55cvcSNQ3sBGNPcj1Z/V9x8EJ2qk/PaWNdDoXAhKrJoN+xKSmVnCyyNZVx5mqTXOEqLmOSJRCKR6IUuH30JwJNrl1n31Uf6DcbCCT59AsbWsHMczK0LCY8LPYwqPZf0s5FoNBq9Lxf6nwZdKwBwbO194sLLXkXE0qCoUAGfrVuwHzOGlJ07ifp2KpqckpmREuRy7EeNpMLePSgqVSRiwkTuVQkgJzS0RMYvKKlEyqI2i7CQWzDp9KQSHVsQBMzqOOM4pgYSczlxi2+Sdt4wKs7mRxAEllb1Jl2lYtIj7Q0QiVRC66GBBNWthGViII8ePuLoUf2X5C8SQUBerSdTBp1iqklF9iXcoM+6RoSFnSm1ECrWb0zlRs04tHQ+yTHRSCQCs3pXx8PWlKErLpKcWfJ7sgVBgrNTJ6Jj9qBWZ5f4+AUlkQjU9bHlTMh/Y0+0mOSJRCKR6AVBImHM8o0ARD66T+h1/S6vwdRWm+gF94X4hzCvAdzaWqghFBWsAIj44hQRX5wyiKVrppZG9J1SD4CDy27rORrD5jDmA5ynfkvStm08GzESTQkWBjLy9MRz0SIcPpoIwOPOXYj++ZcSKfpSUJZGlkysPZErMVdYcH1BiY8vs1bg+H51TGs5kfTnIxK3PUSjNNyZME8TBdP83dkRk8SpRO3MkiAReKt/ZSr6V8Qkw42TJ09y4YKe9g6XBFNbur2zldV1vkapVjLg4Ahun5gGpXQTqtXwDzA2NWPv3F8BMFPIWDSwNimZuXy06RoqHRRicXLqiFKZTHKy/vbCgnZf3r2oVJ0WmzEUYpInEolEopcoTM0Y/MscALZOn0zY7dIvEvASiQS6LdAme+aOsGUorOgIaQWrtmfbwx/jKrbI7E0AiPz+PKrUHDQq/f4jb+tiRqOefiQ8T+fhRd3thykPbN55B8+FC8g4f56ElStLfHz7ESOodOUytoMHkbB8OY87dCR51+5Sm/nt4d+Dhq4NmXttLvcSSr6nnyARsOnpj3WXCqRfjiZmwXWU8Ya7t62nkw1VzIz54sE/7SAkEoG3R1cj0LsOJhmu7N27l/v37+s50uKpWLUPy7vvwMnIiiEh69ixqiUkldyy3fwoTE1p/u5IIu7d5tHFcwB42pnye98aHL4Xw8/7S/49aGZWCZnMisTE0pu1zEs1NyuSM3OJSDLc939JEZM8kUgkEr3C3tObt8dol2tumvolj69e1HNEaGf1PrwKLsEQehJm+MOhb0H5+uU/glyK/eBAnCbWQu5mDkDktPNETDpF5p340og8X4FN3QA4sPQ2YfcS9BqLoTNr2BCLtm2J/WMOmTdvlvj4ElNTHD/6CL9DBzEJDub5xx/zbMhQcsJ1v29SEAR+fetXLI0s+erUVzpJLgVBwLyBK46jg9FkKomZd53sx0klfp6SIAgCX/i68DAjm9NJ/8yqSqUS3h5Vjao+9ZBlW7B1yzbi4/X7O1xcDtY+rOl7jJZOdfiKWGasaY7q+gadz+pVadIcz2rV2T5zGpmpKQA0r+TIl29XYeHxx+y8/rxEzyeRyLCza0pcvH6X2lZz167sOP+k/H/eikmeSCQSifIU0KQ5A3+aDcCfP36r52j+JpXBqBPQfYn2+1O/wvdO8OjwGw8VJAKOo4OxbOulbZauAWVsBio9tjKQG0np8EEQADtmXePSnlC9xVIWOH8zBam1NU8HDSZq+nSdJENyNzfcZ/+O+7x55ISE8KRbN1L2lVz1y/yYyc0YWnUoDxIfsPvJbp2dx8jdAodRQUitFcQuvWWw+/Ra2VlSzdyE6Y8jUf/r71kildBuZDUCXBqjzNKwauUasrKy9Bhp8RlJjZj+9nI+rz6ONRYmjDj7Nckb+0Ga7lpgCIJA21FjMTY1Y/+C3188PryJD52CXfls6w3uR5VsIRZ7u+akpt4iKzuqRMctVAzmCnwdzLgWVv4rbIpJnkgkEony5ejtS423OwFw/s9Neo7mX4J6wTfJ0Hst2HjBmu7aJZxZr2+VIMgkWDb3xKabP0ggeW8o0X9cLaWg8+ZdzZ4Rs5pibCbn0p5Q0hLL9gWrLslsbPDZugW5myuJq1YT98ccnZ3LokVzfPfsxqxBAyLGjydq6lTUGbqthDis2jBaebZixsUZpOSk6Ow8UksFjqODMQmw0+7T++uRwRQl+h+JIPCtnxtXUjLYGPXyrItUKqHz6NpUsGhAcnIySxctL5sVN/9FEAT6Bw9nUZulhFjY0Tv9Bk8W1IV7e3R2TksHRxr1HkjIpfNEhTx8EcfPPYJwszZh7PqrZOSUXE85O7tmCIKU+Dj9zuZVcbYs8QTWEIlJnkgkEoleq3GfQQCc2rCqxMrYl5gqHWHsNWg0TruE80dPCD1doENt36mESTV71Ck5ZD/T3QV1QRgZy+j/bX1USjWrJ51FpTKwP2cDIrO3p8KuXdiNHEncvHmknSrY33dRSC0scPt9Fk6TvyZpy1ZC3m5P2okTOjsfwGd1PyNTmcnUs1N1eh5BJsGufxWsO/mSfi6StBOG186joY05vZxt+OJBOE8zX16WLZVJeGdcU/wt6hMbH8361Zv1FGXJqutSlzWdNiO38aKvgyVHdgyFv96HbN0kJUGt2mHj4sqRFQtfPGZiJGV23xo8TUjnmx0lVxhKLrfGyqoWcXFHSmzMogj2sOJiaCLKcv45KyZ5IpFIJHotI2MTGvcdDMCRFYv0HE0eBAFaT4V+m8HEBla011bhfHjotYeZVnfEsq03AKnHw0sh0NczNpdTub4zapWGjd+V4cqBpcRh3FiMg4OI+Ogjsu7e1dl5BEHAtl8/fHfvQu7qStjIUUR8/InOKnA6mzkzruY49ofuZ+uDwlWSLQrzRm5YNPcgee8TknaG6Px8hTXN350stYYvHrz6OypXSHnnw5Y4G1Xh4ZO7nDt5WQ8RljwPSw/Wd9xEHfemTHByZFPoPphbD56eLfFzSaRS6nXrTeSDezy59s+fXxUXSyZ1CGDTpXB2lOD+PHv7FiQknkal0l/hk4pOFgCExKbrLYbSICZ5IpFIJHqjul16Aui/0ubrVGwDnzyGVt9A/CNY2wNuv775rsxaAUDW7XjCPz+JRs93dlu+G4BvdQcSozJ4cFF/+1bKAkEqxXPRImR2djzp1p3on37W6ZJDIw8PvNauwWny16QdOcKTzl1IP1vyF90AfSv3xdHUkR8u/EBUuu7fB5ZtvDBv6k7auUgSNt3Xe+XZf7OUSRnv5cSRhFT2xb66HFuukDJkYncsBCf2H9rNtUu39BBlyTM3Muf3Fr/Tp3JfvrMxY561BZoVHeD4z6AquSWUAAFNW+BasQpHli1ApfynRUn/ep50CnZl0p83CUsomaXK9nYtUauzSdBjlU1vOzMAolPK99J4MckTiUQi0RsJgkDDd/oTH/6Mpzev6Tuc/Ekk0HgCfBYKlu7adgsnZ+ZbqU6QSXCdXP/F91Ez9T8T0PLdKpjbKDi16SGpCeX7IqS4pFZWeC5biszRkYTly0lYUfLtFf5NkEiw7dcP7y2bkbu68mzIUGJmzkSjLNmLbkEQWNt+LRZGFnxz9psSHTu/81m398Gmmx8ZV2KIX3sXdY5K5+ctqE98nGlsbc53Ic/zTOQVJnKGjxmEAiu27/yTZ0/0PzNfEiSChM/rfs74muOZL83g28AmKI9Oh3W9ILXk2q4IgkDLYaNJio7kwvYtLz0+rVtVzBUyxqy/WiL988zMfDE19SEqanuxxyoqNxttO52rz5L0FkNpEJM8kUgkEhVI7Y7dANjy/STUKsO5AMyTkRmMuw7134fDU2F+I8jKe9+dxFSO+49NAFAlZPH8+3Oos0v2or0wjIxldBlfg+wMJau+PEPIlYL1A/yvkjs743f8GAp/P2JnzyZlj+4KVfyPwtcXz1UrcfzkY+KXLCW0X39ywkq2v5mzmTP9q/TndMRp1t1dV6Jj58estjN2A6qQ/TCRuKW3UGeUXOP54pAKAuO9nQjJzOZwQt5706zszBg6cjAyjQkrV64iKUG/+2xLiiAIDKs2jO8bfc9fGU8ZX7MdmdG3YV59uLOjxM7j6O1L7U7dOf/nJlLi/qnqaWksZ3bfGlwPS2LB8ZJZzutg34b4+OOo1fp5f8ml2vQnV9yTJxKJRCIRyBXGBLd+G4Df+nUxuGp8r5DKoO00aDEJYm7Djx4Qmf9yU5cv6gKgTsslec8TNEr9XQBYO5nS52ttPIdX3iXbQC62DZUgCHitWYPC15eIiR8R/eNPOi8SJEgk2A0bhte6teRGRPC4YyeStm4r0d+LwYGDqedSjx8u/MDOkJ0lNu7rmFS1x2FkEMrYDGIX3dBri5F/a2RtTpCFCd8+iiAzn4tzRzdr+vTpi0qTy4r561Ea0GxkcXXx68KclnM4lXSPCVUbk+HdEDYNhK0jILdk9rc16NEHhakZR5YvfOnx2t629Kvnye+HHnIvqvjJs6NjO1SqNGLjDhZ7rKJysTLmdEic3s5fGsQkTyQSiUQF1mr4B1g5OQNw7YDuenmVqKafwLt7wMgclrWFW9vyfJnUSoHL19qlm+nno0g9Ho46S38zejbOZrQeFkButoolE0+SEFm+iwQUl9TKCu/Nm7Ds0IGEFSt41Owt1Jm6L+5gWqMGFfbvw7JDByK/+oqIceNRJb++lUdBySVy5reaTxXbKkw6PYmbsSXfBD4vRh7aXnrqDCUxC66jNIBlw4IgMKuyJ48yspn7LP/Z7QoBbrRq2p6knEiW/bHB8G9GFUJjt8YsbrOYawl3GGUhIbXjr3B3B6zsBKnF37tpZGJK/R59CLl0jtBrLy9dn9wxAB97M8ZvuFbsGTALi2oAPH26oFjjFIe1qRFSQdDb+UuDmOSJRCKRqFCG/b4YgCPLFnB1/y49R1NA3o1gxBEwtdPu01vZKc99elIzOc5/z+ilHHxKyqFnpR3pSyrWcabdqKoAbP7xEnHh5b+3U3EIEgluM2fg+ssvKGNjeTpwUInvl8uL1Nwc1+nTcJs1i/Tz53ncuQvp586XyNhyiZzFbRZjIjNh1pVZpZa0yJ3McHgvGAGIWXCd3Gj932QIMDdhvJcTM0OjuJKSfzyNW9YhuHI9nqc8YsuKvaUYoe7Vca7D4taLCUkOYWTUIRL6bYCEJ7CwGTw+Vuzxg1u/jZ27J8dWL0Wt/mcm1Fgu5Yce1bgXlcqiE4+LdQ5BEPDyGk1GxlO9LdlsWdmRO5Ep5eomwP8nJnkikUgkKhRBEBjwwyxAm+iVmX8kHSrB++fAviI8OaGd1ct9dYZCZqXAYXQwAGmn9N87rEINR3pPqosyW8Wh5XfFHnoFYNWpI06TJpF16xYP32pObkzp7Gu0bNcW3x07kNrY8Ozdd4n8+usSabVgpbBiUv1JXIi6wMIbC998QAmR2Rrj8F4wUlM5sQtvkBOm/5sME72dsZBJGHf39TdguvZph5ttBW6HXuDi0ZLr9WYIqjlUY2mbpTxPf877dxaSMuwAOAXA6m5wala+haYKQiKR0mLIKOLDn3Fp58vViWt62jCyqS+/7L/Pw+jivRcc7FuhUqWRnHylWOMUVVU3SzJyVESV4wqbYpInEolEokJz8vWjfvfeAGydPtnwmqTnR2EOYy6AhQuEnYdZ1fLsp6fwssSsjnZZqipd//vh7N3N6flZbeKfp3HuT8PrZWaIbAf0x3XmDFRxcTxq2ozsx09K5bxyJ0d8tm7B+ZtvSNmzl5B2b5Oy/0Cxx+3o25EqtlWYe20uydklsxy0IKQWRjiMCkJmb0Lc8ltkhSSV2rnzIpcI/ODvzsOMbDZHJeT7OkEQGDiyJzKpgt3HN/P4dmQpRql7VeyqsKTNEp4kP2Hk2a/IeGcVNJ4Ih6bAn6NAWfS9lJ5Vgwlu3Z6zW9aTGPVyj7wJrSribWfKZ1tvoC5GtU1Ly2oYG3vwPHJTkccoDv+/e+U9Kce98sQkTyQSiURF0qBXPwCe3rjK8o/e13M0hTThDvRcBukx2n569/e98hLjSjYAJGy8X9rR5cnJxxLvqnZcOxTGifWGEZOhs+rQAa/VqwCImDgRdUbJ9Pp6E0EqxaZPb3x3bMc4oAoR48YR8cmnqFKKV7RiVvNZCAhsfaj7Jun/JjGRYTc4ELmzGXFLb5H9pPSSzLx0d7Ih2MKE6Y8jSVXmX1zF2MSYAQO1n1Mb128qd/ta/W38WdZ2GaEpoYw8PJrMZh9D9yXafcdrukNG/knwmzTpNxiVMpdl40a+9LiJkZSfewZz5VkS6y4UfTm7IEhxsG9JYuI5vawG8bAxBeBOZPmowpoXMckTiUQiUZFIJFI+2qjdk5f4PJzlE0frOaJCkEigag9t83RrL1jfW7vM6V+MA+0AyA5J4vnUs+TGlE6C8DptR1RFrpBy83gEN4+Vj15gumZapw4eS5aQfe8eT3r2Qhkb++aDSojczQ2PhQtx/PRT0o4e5Un3HmTeLHrxFFdzVwLsAth0f1OpXxhLzeTYD6uKwtuSuFV39Pr78L8iLNHZufz05PUzdN4+XnRs34lsWSJr5+wiPSm7lKIsHYH2gSxotYAHiQ+YcGwCuYFdYfAOiL4NS1tD3MMijaswNaNm+y4AhN1+uSpxXR9bOge78vX2W8SmFv3P086uKdnZUaSl3S3yGEVlJJNgJJUQnqj74kz6IiZ5IpFIJCqWcWu0+zYSIsLIzS5j+xvM7GDUcbDy1C5zuv3Xi6cEQcC2TyWM/W1QZyhRJev/4lBmJGXYTG1Pv8v7npad/ZB6Zt64ER5Ll6BKTOT5l1+V6vJiQRCwGzoEn21bkdraEtqvP3ELFxU5hg9rfEhEWgS/XfmthCN9M0EqwW5gADIrI2LmXSMnovj7DYuqirkJE72dWRIex+Xk18/Q1apTEw83TxJkD/jzj/PkZOqvaq4uVHeszqy3ZnEh8gKfnviUXPc6MPwQIMCKDhB2oUjjNu3/Lnbunhxd8er7dVLHKpjKpXy3606R47a21ha5Skq+/IZX6kbTivaExOrvPaxrYpInEolEomKRyeX0/uZHAFZ/NrbsJR4mNvDhJXCoApsHQ9yjF0+ZVnfEuksFPQb3KqlMQoNuFUhPyubBhWh9h1NmmDdqhNNXX5F+8iTPP/6k1PeRGnl64rVmNbYDBxI7axbh739QpOWbDV0b4mnhyfJby4nPjNdBpK8nMZFhP7waMmsF8atuo0rR382PDzwdAdjwmr15oE203+nTC7lCxtPsS+yae43c7PLTQw+goVtDZjWfxbGwY9pEz9oThh0AKw9tNeGbWwo9pkQipc2oscQ+C+XOyaMvPedoYcx3Xauy4/pzjt4rWmEjqdQES4sgEhJOFen44qroZMGDYhaQMWRikicSiUSiYnOrHIggSEiMfM6iD4aQm6P/Wa9CkSmgy1zt1/MbwIkZr1Soy31uOPt5glq4I5EJHFp+hwQDisvQWXXsgE2/vqTs2UP4h2NL/fwSIyOcPv0EjwXzybhyhSc9e5F1/0GhxhAEgdktZgMw4dgEXYT5RlJzI+wGBaLOVhG3/DbqDP0UJzKRShjv5cTmqARisl8fg4WFBf369SVXlsLjyLvsmV+8wiGGqKl7U35v8TtHw47y0fGPyDW2gHd3Q0AX2DoMTvxS6MqbrhUr41OjNqc3rkGlfPnPuGt1N+p62/LFtpukZxdtdtTExJO4uEOoVKW/CqSyiyXRKdkkZRS9SI0hE5M8kUgkEhWbIAhMWL8dMxtb0uLjmD2wB2pVGbtT7l4Lxt8E9zpw5DtY3RWUOUhMZQB6LzbxbzK5lJ6f1QZg/dTzqJRlpLqpAXCePBn7998n7fBhIj79FI0e3qfmzZrhs3ULElNTnvToQfyy5YWaAa9gXYH+VfpzNeYq12Ku6S7Q15DZGuP4XjCq5GxtolfEi/ziGuZuj0Ii4dMHYW98rbe3N1WrViXT+ilPHz7nzJZHbzymrGnq3pTZLWZzIvwE085NQyNTQLeFUHsYHPkedn8E6sK95xv3GURqfCzXD77cc1AiEfipZxBRKVnMOVq0P0sn584AJOthyaabtQkAz5PK2DaDAhKTPJFIJBKVCEEQGDlvOe5VtM27F73/rn4DKgprTxiyB7rMg9DTsOdjJDJQ+FkjGBnWP5kOHhY0fscfgG0zrpS7WQldsn9vFPZjxpCyYyexs2bpJQYjDw+8N6zHtn8/Yn7+mbCRo1AlJRX4+LE1xmKjsGHo/qHkqvQzkyZ3NsN+aFVyYzKIW3EHdU7pJ8wORnImejuxLy6Fo/FvXv7avn17JBIBuX8k14484/75qFKIsnQ1dW/KlAZT2PpwK4tuLAJBgI6/Quc/4PIK2DgQcgpeOMfR25dKDZtyeff2lxqkA/jYmzG+lT+LTzzmZnjhb4TZ270FQHTMnkIfW1xOlgrtuVPFJE8kEolEoteSSKT0/uZHvIJqkJ6UyN45M/UdUtHU6A9tp8GVlfCdHSgNc/lpcAsPGvbwIyY0hZArpdPwuzwQjIxwGPMBVl27Er94CUlbt+klDomxMU5ffIH7nD/IunmTkE6dyA4pWB9EU7kpM9+aSa46lxmXZug40vwZuVtgPySQ3PBU4tfcRaOHWeVhbg7UszJj3L1n5Lxhr6WpqSldunQhOikcyyrpHFl1l3g9FpDRlW7+3fig+gfMuTaHnSE7tQ/WHAT9NkLIYdjQF7IL/nPX7tCVlNho7p06/spz77/lRyVnCz7afI1cVeH+/gVBio11fdLS7hXquJLgbGmMRIDwBP1XTtYFMckTiUQiUYnr/sU3ANw5eZT0pET9BlNU9UbB279ov352DrKS9BpOfmq09sTW1YyDy4pe5e6/ynnqt8i9PIn86ivSTpzQWxwWrVrhvXkTUlMzHnfoSNyixQU6ro5zHUYGjWTzg82Epb55uaKuKLytsBscQPbjJG2iV8gL/eKSSQSm+rsRk6Nk9tM33+yoWrUqwcHBPEm6irFjLjtnXyM1ofzN5owMGkkn305MOTPln2W9/q2h3yYIvwSrOhe4l56zX0U8q1Xn/J+vtu8wkkn4uWcQIbHpzDlS+GWbjo5vk5p6E6WydIugyKQSXKxMOBNS+gWMSoOY5IlEIpGoxEkkUgbP0BYyubijdBs3l6h6I2HofjQaBZkPlOQeXKLviPJk5WCCRq3h0WVxNq8wJEZGVNizB+PgICLGTyBl7943H6QjRh4eeG/V/q7E/vorcQsWFKgC6LCqwzCRmfDlyS91HeJrGfvZYDcggKz7Cdo9eqW8dDPYwhQBmBEaRVYBksyOHTvi4OBAkuUdJAoN22ddJStdP8tedUUiSPim4TdUs6/GhGMTiE7/uxqvbzN4dxckPoUVHSHleYHGq962AwnPw4m4d/uV5wJdrRjcwJvfDz8kKrlwCbOtbSM0GhVJSZcKdVxJUMjLb688vSd5c+fOxdvbG2NjY+rVq8eFC6/v5TFr1iwqVaqEiYkJHh4eTJgwgays8nf3RSQSico6ew8vAC7v/qvsFWH5N8/6mLRuBkD8EVPip/xWqGVOpeGt/pUB2L/4FknR5XPpka4IUimeS5cic3IiYsJElIn6m3mWmptR+fYt7EYMJ3bW74R/OJbcmNcn7qZyUwYFDOJa7DV+ufhLKUWaN5PKttgPq0bOsxTiV91Bk1u6v/f7aldEAKY/fn2DdAC5XM4777xDenoacv9IMlJy2D33erkrYmQkNWLmWzORClLGHR1HpvLvhMa1hnb/cWYiLG2rTfjeoEKtulg5OnFm87o8nx/Xyh+FTMKXf94sVIwmJt4YG7sRn/DqUlBdczBXlPo5S4tek7yNGzcyceJEpkyZwpUrVwgODqZt27bE5POBtm7dOj7//HOmTJnC3bt3Wbp0KRs3buTLL/V790okEolEeQtq2Q6A3/p1IT78mZ6jKTqLFhVR+FujkduTmV0D5jeE5HB9h/WCqaURvb6ojVQmYe2UcyREim0VCkNqbo7rT9pej9HTf9BrLIJUiuNHH+E+by6Z16/zpEcPMm++/qJ5ZNBIajjWYNWdVZyK0E/Psf8x9rPGbnAgOU9TiFtZuolesIUpH3s7syQ8lqeZb95Ha29vT4sWLbgfcod6fZyIeZbK2T8LtieyLLE3seePFn/wOPkxX5788p/llg6VYPhBkMpgaZs3JnoSiZTgNh0Iv3OL5JhXe3Ramcj5pnMgR+7FcOZRXIHjEwQBe7sWxMYeKvU+qzamRsSIhVdK3q+//sqIESMYMmQIAQEBLFiwAFNTU5YtW5bn68+cOUOjRo3o168f3t7etGnThr59+75x9k8kEolE+tFqxAfU6dITgD1/lNEiLH9zGFYNiw7VQJBA0lP4LRBiC9fjTJccvSzp83VdANZ/e16stllIJkFBOH72GSk7d+p12eb/WLRogc/WrchdXAl9pzdxixfnewEsCAJL2izB08KTCUf10zvv34wrWGP3rjbRi197r1SLsYzwcMBGLqP1pfuoC5Aw1KtXDzs7O05dPkydjt5cPxzGs9vlb49WFbsqTGs8jUPPDvHt2W//eS9ZucPgnaAw1y7dfEOiV711e+TGCm4cyvt3pE8dD6p7WDNtz91CfQbZ2jUhOzuSzMzQAh9TErzsTBEQSvWcpUVvSV5OTg6XL1+mVatW/wQjkdCqVSvOnj2b5zENGzbk8uXLL5K6x48fs2fPHtq3b18qMYtEIpGocARBoGm/d5ErjIkJDSE7o4zPMGkAjUCS/5+oNLYwty7EG86df2snUxr19APg0LJX982IXs920EBM69Uj4qOPybp/X9/hIHdyxGvNauyGDyd25q+EvfceqtS8i1MYSY3o7t+dLFUWv17+tZQjfZVxBWvsBgaQ9SiR2KU3S22PnqVMyk8V3UlRqlkf+eaiIlKplA4dOhAbG4vaNhaPAFsOLrtDYlQZ/6zKQ2uv1kxtOJVtD7ex6s6qf56wcodB20EAVnaElPyXu8qNjancsBl3Tx1HpXy1N6IgCHzdsQq3n6ew5XLBVzvYWNdHEKQkJOadA+iKo6UxCRk5pT6DWBr0luTFxcWhUqlwcnJ66XEnJyeiovLuWdKvXz+mTp1K48aNkcvlVKhQgbfeeuu1yzWzs7NJSUl56T+RSCQSla4eX04FYPGYoXqOpHiMK9kAkHZTTlqV5YAG/qgJyRH6DexfqrfyxL+OE6E348lMy9F3OGWKIJXiPvt35B7uPHt3CMqEglUe1CWJkRGOH03Efe4csm7c5EmXruQ8zXu2ZWjVofjb+LP81nKepxWsmIYuGVe0wWFoNXIj0ohfUXoN0zs4WOFgJOOj+2EoCzCb5OvrS9WqVTl8+DCN+nghkQkcWHobVSlXCS0N3fy7MThwMDMuzeBY2LF/nrByhyF7QaWElZ0gPf/ZzOA27UmNj+XuyaN5Pl/Ly5ZOwa78vP8+aQX8O5fJzDA3r0xc3JFC/DTF52ZtTI5STWyqYbbJKQ69F14pjGPHjjF9+nTmzZvHlStX2LZtG7t37+a7777L95gffvgBKyurF/95eHiUYsQikUgkAnCrHICzX0Wy09O5un+XvsMpMpmNMc4f10ZiKkOpdITRf991/i0AHpd+0YD81O/qS262imsHy+4+SH2RWlnh9uuvqDMzedS8RYEqXJYGi5Yt8Vq9CmQyQgcMyHOmURAEVrVbha2xLT9e+FEPUb5K4WuF/ZCq5ISnEbvgBqpSuPEgCAKzKnsCsCQ8tkDHtG3bFkEQOHH6GG2GBRIXnsbJjQ91GabejK85nlaerfjsxGfcT/jX+8jKXVt1MysZ1vbQFmXJg6O3Lz41anN5z/Z8fz8+f7sy6dlKfthzt8BxWVpWJz4+78RRV7zszAA4/0T/N3RKmt6SPHt7e6RSKdHRL2/cjI6OxtnZOc9jvv76awYOHMjw4cOpVq0a3bp1Y/r06fzwww+o83mTffHFFyQnJ7/4LyxMf31kRCKR6L+s47jPADiybAFbf5ii52iKTmZvgjpLSeateHAKgB5LtU+s6gzhl/Ub3N8s7Uxw9bfmyv5n5XJ/ka6ZBAbi8u03aLKzSdq0Sd/hvKDw88N7w3pkNrY87T+AtNOnX3mNuZE57wa+y9Gwo//0RtMzhY8VDu8FoUrNIWb2VZSl0JOupZ0lVc1N2BiVQG4BZvMsLCxo1qwZ169fR2aVQ822Xtw+EcHzh0k6j7W0SSVSpjeZjrOZ88sVNwHsKsCArdq9eau7QVbeK+BqdehK3LNQQq9fyfN5N2sT3m3kzdrzz3gcW7BqxJYW1QDIyiq9WWjvv5O8+DRxJq/EGBkZUatWLQ4fPvziMbVazeHDh2nQoEGex2RkZCCRvByyVCoFyHctrUKhwNLS8qX/RCKRSFT6rBydmLB+OwCh1y6z6tMP9RxR0Zk3cgMg9WQEVOsJHz8CqRFsHmwwe/Taj66Gha0xO/+4TnJs+ewDpUtWXbpg3qIFMTNmkm5ABd5ktrZ4rVuHSY0ahI0YSfySJa9cAw0KGEQlm0p6b6nwb0au5jh+WAPBSErMguulkuj9VNGdu+lZTLhXsBntWrVqYWFhwa5du6jTwQtLBxMOLL1Ndkb56p8HYCIzYVrjacRmxDL17NSX30MuQTBwmzbRW94+z0TPs2owLn6VOL1pbb7X4B+28MPeXMHHm68XaM+bjU19AJKT804cdcHESJtHPE0of61n9Lpcc+LEiSxevJiVK1dy9+5dRo8eTXp6OkOGDAFg0KBBfPHFFy9e36lTJ+bPn8+GDRt48uQJBw8e5Ouvv6ZTp04vkj2RSCQSGS6JRMp7C1cDEPv0CTt+na7niIrGrI52xUnWvb9nycwdYMxFkMhgaWuDqLqpMJXTZUJ1ANZ8fZbcUm5OXR64/jAd44AAwt4bTebNW/oO5wWpuRkeC+ZjN3w4MTNmEjFhIqq0fwqFSCVSBgQM4EbcjZeX4+mZzEqB3eAABIlAzILrqFJ0O3tSy8qMbo7W7ItLJjbnzYmakZER3bt3Jzw8nFOnT9FhdBC5WUr2LbpVLgtzVLWvyneNvmPX411sfrD55Sdda2irbiY9hXXvgPLlZbaCIFCv+ztEP35IdEjey1pNjWR81yWQK8+SOHb/zctmTUy0W6pS0+4V7QcqIlMjKTnlrD8i6DnJ6927NzNmzGDy5MlUr16da9eusW/fvhfFWJ49e0Zk5D8VfiZNmsRHH33EpEmTCAgIYNiwYbRt25aFCxfq60cQiUQiUSGZWdswYZ12Ru/h+TPkZpW9HkVyR1OMq9iSHZJM7OIb2gdtvLXLnDLiYW4diCi9u9H5sXIwxa+2IwCLxhrOnsGyQmplhcf8eaBUEvPTT/oO5yWCVIrjxAm4zf6d9JMnedKjO9kP/7nYbuPVBmuFNd+e/Ra1xnAuYOUOpjiMDAIgdvFNVKm63aM31d+NHLWGNc8LtmzZx8eHWrVqcfLkSaRmSloPCyT8XiIXdj7RaZz60t63PX0q9eGH8z9wJfr/fWY5V4V+GyHyOmwbAf9va5R3cC3MbWy5uHNbvuO3q+pMXR9bvt5+C2UBCtk4OLQhvpSLr1RytuB+VN5Va8syvRdeGTNmDE+fPiU7O5vz589Tr169F88dO3aMFStWvPheJpMxZcoUHj16RGZmJs+ePWPu3LlYW1uXfuAikUgkKjKJVErXTycDcGH75je82jD9b8lmTsS/Sq3bVYBhh7Rf7xoPaQUr+qBLbYdXxb2ytiro1QNiIZbCkpiZ4frzz2RcukTCqtX6DucVlm3a4LNtK4JURmi//qQe1RauMJWb8kuzX7gZd5Nlt/LuP6wvMltjHEcGoc5WEbfslk6rbjoYyenrYstPT6J4lFGwG0qtWrXCyMiIvXv34l3NnhqtPbm0J5SQqzE6i1OfPqnzCZVtKzPh2ARiMv7fz+jVELrOhzt/waHJLz0llcmo2qINjy6eIzM17717giDwVfsqhCdmFqilgpmpH2np91GrS2+JrFwiQSopf73y9J7kiUQikei/qUKtugiChKe3rus7lCIx9rPGorkHmiwlaef/1VfKow4M2qG9+z3DH27/pbcY/6fzuOqY2yg4s+0R6cnlr8CArlm0aY3c1ZXo6dPJuHhR3+G8wsjLC5/NmzCpVo3wD8eSuGEDAPVd6tPCowW/X/mdewmluwTuTWT2JjgMrYoyIYvYJbdQpevuov5LXxcAfnicf/+3fzM2Nuatt97i3r173L9/n/pdfbG0N+bcX49RlsNlz0ZSI+a0nINMkDH2yFiyVf/vMyKwK7z9M5z5Ay4ufempGm07AnDtwO58xw/2sKZ1gBOfb7v5xmWRdnbNAEhPL73KpjU8rcXqmiKRSCQSlaQGPfsS+eAeD86d0ncoRSJ3NAUg6c9HZFz71x1w32ba/SzGltpiLHs+BT3u6REEgdZDAwHY+rNhVAAtSwSJBK/161D4+/Fs5ChynhnejKjEzAyPJYux6dOHqG++JXb2bDQaDd811raZWnB9gZ4jfJXc2Qz7YVVRJWYRt/gmmlzdJFBWchkzK3mwOzaZo/EF65dcp04dANavX49ao6b96CBS4jM5t+OxTmLUNzsTO2a3nM3DxIfMvDTz1RfUGwV1R8G+L+DZuRcPm1pZU6lhE67u3YkyN/9EfUxzPwA2Xnz97465eWUAkpOvFuGnKBq1RoNCVv5SovL3E4lEIpGozKjfow8AJ9at0G8gRWRawxHnT7UXg4nb/19VTZ+m8OkTqDkILiyEs3P1EOE/XP2tqd3Bm9T4LCJDkvUaS1kkd3LCfe5cZA4OhPbrT05oqL5DeoUgkeD01Zc4fDSRuHnzifrmWywkpgwKGMThZ4eJzzS8dhoKT0vs3w1EmZBJ3Mo7aHTUgLyviy0BZsbMehr95hcDEomE/v37A9rtQ3Zu5tTvUoHrh8OIeJB3/7iyLtAukI9qf8T6e+s5+iyPfnVtp4FzNdjQT1t582+12nchMzUl33YKoJ3N61bDjT+OPCLrNcm8TGaOkZE9Kak3ivWzFIaXnRnZSjWqArTaKEvEJE8kEolEeiMIAhUbNCE5OoqwOzf1HU6RyGyNUVS0QZOpJCcy/eUnJVLo/AfU/wAOfAWnZ+snyL/VaK1tEH122yPU5eyCpjQYeXrivX4dEoWCsPdGo1EZ3tI9QRCwHzECl2nfk7R5MxEffcywyoMwkZmw8IZhFqozcrfAbmAA2aHJ2kRPB7PeEkHgQy8nziencyqxYEU2/P39qVmzJufPnychIYHglh64+llzZNXdcluttm/lvjRzb8bkM5NJykp6+UmpHPpuAIUlrOv9orWCk68flg6OPL58/rVjj23pT1xaNusvvH42z9q6Lqmpt4vzYxRK5t9/l+k5utsbqg9ikicSiUQivWrabzCCRMKmb78gPjxM3+EUiXl97Z6fmN+vkLQnjyp8bb6HKp3h4Nfw4EApR/cPI2MZncdVJzIkmR2zSm85VHkis7PDbeYMckJDSVi5St/h5Mu6Rw/c5/xB2pEjpH08mR4VurP+3nqi0qP0HVqejP1tsO1VkewHiSTveaKTRK+TgzUAvzwp+J9BmzZtMDU1Ze/evUgkAm/1r0RaUjYXd5XPapuCIPBNw29Qa9RMOz/t1b8Hcwdtxc2U57Bt5Itl6Pae3tw/e+q1SzZ97M3oXtOduUdDXiRWebGza0Za2l1yc0tnxUEFR21D9NfFVBaJSZ5IJBKJ9MrK0Zlhvy8CYNPUL97wasNkEmCHdVftnpO0E+GoM//fHWGJBLrM0X69rhfs0F8jeI8qtrj4WRHxIIk7p57rLY6yzDg4GOOAAGJ+/pmMy4a7x9GiRQvc588n4+w5mm7UFl4ZtHeQwfZ8Mw12xKqTL2knI0jYcB+NqmTjlEkEvvd343xyOnfSMgt0jLGxMS1btuThw4c8ffoUG2cz6nTw4erBZ+V22bO9iT2f1/2cfaH7WHt37asvcKgE3RfCg31w/GcAGvbsR05mBjcO7nnt2GNb+JOcmcOy0/knyTbWDQBISDxd9B+iEIzl2l7b0Sllr53P64hJnkgkEon0zsrRGe/gmmQkJ3HvdNns52Ze3wWrjr4AZN6Ke/UFxlbwRQQEdocrq+Dg5FdfU0o6j6uOT7A9x9bd58mNPGIVvZYgCHiuXIGRlxdRU79DozacPnT/n3njRrjPnYPNsRt8ud+MyPRITj8vnYvnorBo5IZN70pkXo8lacejEk9IB7raIQDfhRT8BkfVqlVxcHDg1Cltgaiabb1w9rFi2y+XSYkrWLJY1nSq0IlWnq347fJvPEvJY3llpbfhrS/g2HS4txsnXz8cvHy4dnDva8f1tDOlV20Plp16ku/ePBMTN0xMvEhKKp1Ktj722pm8p/EZpXK+0iImeSKRSCQyCJ0mamfxzv9VNvvmAZgGOwCQuDWf8t8Kc+i5DOoMh9O/w3R3yC39i0SZXErbkVWxczNjz7wbxEeklXoMZZ3UwgKXH34g+/594ubot6jOm5g3aYLX8mXUDNHgm2jEqmtL33yQHpnVcMSqoy/p56NIP1ewtgcFpZBImBvgxdGEVP6MLlgBFYlEQtOmTXn48CGPHj1CIhFoPTQAgNWTzhrszGhxfd3gaxQyBWOPjCVHlUfT+qafaP+/oR8khhLUsh2Jz8OJfRb62nFHNvElKTOXjRfzX55vaVGNlJTSKb5iaSwvlfOUNjHJE4lEIpFBMDI2wcHLh7hnoUTcu6PvcIpEamGESTV7AJT59aMTBHj7F6g9DHJSYWZlyCz9an1SqYT2o4MA2PDdBXL+/xJT0RuZ1qyBw/jxxM2bR+xcw070TKpXx3v9ejreUnA27hJ3bx7Td0ivZdHYDbMGLiRtDyHjZmyJjt3N0ZogcxM+exCGqoAJWtWqVXFzc+PQoUNoNBos7U1oNUSb6N0/b5j7HIvL1tiWxW0W8zj5MbOv5FE0SiKB8X8XzNo4gMDGjQDYN++3147rbW9GxyAXFhwPIVuZ92yeQuFESso1NBrd75MzkUsRBEjJKr0G7KVBTPJEIpFIZDDajh4PwIYpn5bZu+PGlW0BSFj3mubTEgl0/BUG/qVN+hY0gfiQ/F+vIxa2xjTu5Q/Ako9Olvr5ywO7USMxrV+f+IWLyLhq2MVsFL6+9P9uEzaZUhatnkDGpUv6Dum1rDtVwKSaPQnr7pFxveQSPUEQmOrvRopSzW+hBWupIAgCLVu2JCoqimPHjgFQqZ4zFWo4cHrLo3J7kyTQLpDxtcaz8s5KLkblsXzS2hPeOw1xj5AfmYJrpQAyU97ci/DDFv5EJmex6szTPJ+3s28OQFopNEWXSAQsjeWklLO/QzHJE4lEIpHBcPKpQK0OXQH486dv9RtMEZnVckJmb4KyIHt1KjSHkcdBagTL20N66e+PC27pgX8dJzRqDfdLeGncf4EgCHgsmI+iSmXCx3yIMt7wetH9m6mLO/1qDuVEZRU33x9C8vbt+g4pX4JEwKa7P0buFiSsv1eiM3r1rc3p52LLjNAowrPyWIqYBx8fHwDOnTtHZqb297tBdz+U2SqOr79fYrEZmkEBgwiwC+CT45+82lYBwLkqtJsOl1dQtbITqfGxJEW/fnbTz9Gcys4WTNtzlxzlq3tarSxrIggyEuJLZ4+2lYmcxIyCvQ/KCjHJE4lEIpFBaTZwGABPrl7iwblTeo6maAQTGer0XLIK0jTZxgu6LYC0KO3STVXpLxlqPTQAzwBbDq24S2JU+psPEL1EYmyMx7x5aLKziV+2TN/hvFHvoIEIRkac7FOF5599TsyvvxnszLnERIbD6GAUftYkbnpAbgm+PydXcAVgcVjBkkdBEBg3bhwqlYpt27YBYOVgQs12Xjy4EE3YvYQSi82QyCQy5rSYQ7Yqm58v/pz3i2oNAf+2VHoyB5lczv0zJ9447uCG3gBsvvzq3jypVIFC4UJC4tnihF5g9uZGxIjVNUUikUgk0h1BEBj+x1IQBE6uW6nvcIrErk8lAOLXv2bJ5r951IVuC0GdC9/Zw+UVugsuD4Ig0GJQFQAOLS+b+yH1TWZnh02/fiQsXUbaacOtXglgY2xD5wqd2e0ei+XY94lfsoTIryaheU2PM30SJAJ2gwKQmMqJX38PdXbJLKuzlsv41MeZheGxXE0pWGVFGxsbqlWrxsOHD7l3T/v7Xettbxy9LDi25h7KctZr7X8cTB34tM6n7Hy8k50hO199gSBAl7kYyQUq2Cu5e+rYG8fsW9eTRn52LDgeglr96k0GmcycnJzSWd1ga2ZEWgm9rwyFmOSJRCKRyOBYOTrRbvR4kqIjiQrR/Z6MkiazM0FiJkcozL+ywX2g7wbt1zvHwcEpOoktP2bWChr28CPmaSqnNpW9P3NDYDtoIHIvTyImfoQysfSL6RTGgIABxGXGcamNJ64//0zyjh2EjRmDOt0wZ3IlRlJs+1RClZhNwrp7aPJY4lcUYzwd8TVR8NXD8AIf07FjRwCOHz+OWq1GIhFoNSSAlLgsds29XiJxGaJu/t1o6dmSHy/8SGJWHu9vcwfosYRKktvEhz8j4fmb/0xHNPElLCGT2Ude/cyxtq5LRkYoarXubz6YGsl4EmeY7/2iEpM8kUgkEhmkyo2aIpXL2fL9JH2HUiRmtZ2QGMsKd1Clt2FyAvi3hdOzSj3RC2ziiomFnOtHwshKN8xZHUMms7fHa9kyBKmUx507kxtluFUXfa18aenZkl8v/0pK0yA8Fiwg89JlQgcOJDc6Rt/h5UnhY4Vtn0pkPUgkdulNNKriJ3pGEglD3e25kpLBw/SCLdeTSqUMHjyYyMhIrv5dbMfG2QxTSyMi7ieRHFs+e+cBTG4wGaVayYxLM/J+QYUWeDfRJsF7Z/3wxvGaVdS2nbnw5NWlrk5OHVCrM0lJ1X0rhbRsJQa6YrnIxCRPJBKJRAZJKpPj6FOB7Iz0MjmbpwGU8VmoUvJppZAfiRT6bYQWk7SJ3qNDuggvT0bGMnp+VhuZQsrxdeW3kIQuyd3c8FyxHFVsHLFz5ug7nNea0mAKSrWSz099jnnjRnitXYMqPoHQPn3IevBA3+HlySTADvshVcl5kkLSzsclMmZ/FzsA5j4reHLr4+ND5cqV2b17N2lp2j6T/afWR6aQcnTNXYPd41hctsa2jAoexY6QHZx9nvd+Ofnb3wMaop4+RaN6/fJVQRD4pWcQZ0LiuRv5clVOS4sgJBJjUpKvlVD0+fNzNBeXa4pEIpFIVFo6jvsMgI1TPtNzJIUnCNr/R06/QPjnJ1GlFaJymyBA44/A9y3YMqxU2ytY2psQ1NydR5djeHipYOXlRS8zrlgRu9HvkbztT4Pen2djbMMndT7hRuwN9ofux7hyZbw3bkBqacnTfv1JP3de3yHmybiiDVYdfEg/F0na2efFHs9EKqGZjQUbohJQ5rE3LD8dO3ZEIpFw5swZQHuTpN3IqkTcT+LIyrvFjstQDQoYRKBdIF+e+jLvJunGlvQZ1QeAJ1t/euN4XWu44WJlzIrToS89LpHIMTPzIy2tgHubiyFHqSYmtZA35AycmOSJRCKRyGBZ2jvgX68hytwcQm8Ydg+y/8+ytTdWHXxffB/5fSEvmCUS6DJP+/WKjvDocAlG93o123oBcHS17i+uyiuHMWMwa9SIiAkTyX5ouDPRXSp0oa13Wz4/8TlPU54id3bGa+0ajKtVJWzECFIOHtR3iHkyb+yGWV1nkraHkHm7+MU5vqrgAsDGqIJXyDQ3N6dmzZqcOXOGkBDtjRivQO2s4L1zUeW2CItMIuP7Rt+TmJXIqjur8nyNa/MB2FjKuXVoNyQ9e+14cqmEHjXd2XgpjLCElwvgWFpUIznlWkmFni93GxMkgs5PU6rEJE8kEolEBq3te+MA2Drtaz1HUjiCVMCiiRtu0xojszcBICcirXCDWLnB6NMgSGBNd7izQweRvkphIsM7yJ7cbBUZKeWrd1RpEaRS3H6didzVlcedOpN1xzCrlgqCwOQGk5FL5QzdNxQAqbk5HgsXYt6qJRHjxpO4ebOeo3yVIAhYd/VD7m5Owob7KBOLV/4+yMIUP1MF34ZEFOq41q1bA7B69eoXSzT7f1sfgGuHX20NUF742fjRu1JvltxcQmzGqy0oBEGgaruePEmxImfbGN604a1rDTcANl9+uViLmXlFMjIeo1brdimlrZkRag1k5ZafxFxM8kQikUhk0BSmZvjXbQjAjcP79RxN4QlSbfl3AGVswcq0v8TKHYb/PZuyaSAcKp0m8Y16+gGwcdqFUjlfeSS1sMBz8SIAon/5xWD3aVkaWfJF3S+IyYxh0/1NAEiMjHCbMQPr3u8Q9fVk4hYuMrj4BYmAw9CqCMZS4lfdQVXMYkFdHK1JUaq5X8ACLAByuZxGjRoBcOfvRN7ayZSgFu5c3htKSlz5LcIyOng06bnptNjcIs/nKzdtjVIj4fLlx3Dl9e1w/BzN6RjkwsaLz156nxkrnAHIytJtwmxnrgAgKrn89MoTkzyRSCQSGby3x0wE4OCiP1DmlL2ZJam19gIiYcN91EVZwmXpCl9EgH1FOPUrXNJ9w21rR1MCGruSkZzDgwuGWyXS0MkcHPBYuICMs+dIWL5C3+Hkq5t/N2o51eK7c9+h1mirVgpSKc6TJ2P/wQfE/vYbMT/+iEZdMq0LSorEVI7dgACU8Vkk7Sze3tVxXk5Yy6QsCS9Yc/T/adWqFZ6enhw7duxFglKvsy8m5kYcXXPP4JLjkmJtbI2HhQcA12NfbR1h6eAIwMUkH9g/CZJen6j1q+tJdEo2Jx/+s/zWyqoWAMk6Lr5irpAClKt9eWKSJxKJRCKDJ1cY0/zdkQDMHzlAz9EUniCXIHM0BSDzVhH3DynM4b3T4NMMdk3Q/peV8ubjiqHJO/64+ltzcNkd1n1zDk0hilKI/mHerBm2Q4cS8/PPpJ04oe9w8jW0qna55v9m80C77M7hwzE4fT2JhFWref7Z5wbXNF3hZYlVBx8yr8WSdqbohVj+105hXWQ8EVkFv5kkCAJNmzYlNjb2xd48I2MZTftUJPxeIk+ul05Db33Y3mU7AAP25P253PzdUeSqIFNqBTvHvnbZZoMKdlRwMGPlmdAXjxkZ2WFs7EFamm4L2bhZaz+fEzPK3k3E/IhJnkgkEonKhJpvdwYgJzODpzeu6TeYQhIEAYcR1QBI2f+06Hf2ZUbQfzM0Gq+dzfvRA7JTSy7QV04npevEGngH2ZMYlcHpbY90dq7yznHiBCQWFoSNHEXq4dIrolMYTd2bUs+5Hn9c/YPUnJffV7b9++M2cwYp+/YR9sEHqDOKsPRYh8zqOmNW34WkXY/JelT0RvTveThiLpUyrxDtFAAqVKiAm5sbBw4cePH77VXNDo8AW05vfYQq17BmQEuKXCrn56Y/A3Ai/NUbGL41aoNGQ0TlMRByBK7kXagFtJ+To5pW4PC9mJcak1tYBOq8+IqduREAIbGF3DdtwMQkTyQSiURlxrsztdUm//rlOz1HUnhSCyOMA+1QJWeTeiz8zQfkR6aA1t9Cm++13//g/sbqdcUhCAId3g/C0t6Y64fCiC9s8RgRAIJMRoW9ezDy9SX8gzGkn827x5i+fVnvS1JyUvjz4Z+vPGfZvj0eC+aTcekyz4YOQ5WUVPoB5kMQBKw7+qLwtiRu2S1yi7L/FbCUSaluYcrSiDjUhbgZ87/ZvJiYGB49evTiscY9/UmNz+L60fJbhKWddzvqOddjypkpr7RUsHLS7qm7eiMMgvvBwcmQnv/MZufqrtiaGbHi9JMXj1laVCM5+TIaje4SZblUmxIlFKbVjYETkzyRSCQSlRl27p5UrNcIZU42C99/V9/hFJr9wAAsWnqSsj+UtHPF7O/V8EPou1H79axqkBha7Phep/O4GgBs+O5Cud1jpGsye3t8tm1F5upC9PTpqDMNryiHr7Uv7X3as+DGArKUrxahMG/UCK+VK8gJDSV0wAByowxnv6Ygk2DbtzISMyMS1t5DU8TZs86O1gCcTizcDY2KFSsCsHbt2heP2bqaUbWpG5f2hJISb3h/3yVBEAQ+q/sZiVmJLL+1/JXnzG1seXbrBrT5++bcwcn5jmUslzKgvhebLoWTnKFdFqww1iaK2dm6fa952ZnyIKb83MQSkzyRSCQSlSkdJ3yOqZU1afFx7JkzU9/hFJplK08Akv4KKfJswwuV2kGvFdqvFzWHtMIVjCgMKwcTGr/jD8C57Y91dp7yTmJsjMf8+WSHPiXq26n6DidP71d/n9ScVDbe35jn8ybVquG1bi3qjAxC+/Uj+/GTPF+nD1ILI+wHBZAbk0HC1gdFGqOfiy0exkZsiS7csk9BEKhXrx7Ai9k8gLqdfFCYyDiy8m65vUHib+PPoIBBLLqxiOdpL9/AqlBb21IiKTUXWkyCa2sh7GK+Yw2s70Vmroo/jmj7S9pY1wUgJeWmjqLXcrcxQSErP6lR+flJRCKRSPSfIAgCw/9YAsDdk0f1HE3h/a+/F0DyvtDiDxjYDUafhdxMmOFX/PFeI7iFtpLelX1PSYo2rD1ZZYlxpUo4f/UVyX/9RcK/Zn0MhZelF+282zHz0kziMvNeWqfw9cV73TokpqY87duXjCtXSznK/Bl5WGDTzY/Ma7FkXCvc3jrQ/o4OcLFjR0wi8TmF68/Wtm1bXF1d2blzJyqVtpKusZmcZv0qEfEgiVvHC9eHrywZFTwKS4Ulk8+8PFNXv0cfAC7u2Aq1hoBLddg2HFR5/9k6WChoWMGOXTciUarUKBQuKBQuJCdf1mn8ViZysU+eSCQSiUT6JFcYU6tDFwDinoXqN5giMK/vgtRageTvst3F5hSgTfYAvrEqmTHz0X+q9q78hu/F/nnFYd37Haz79iH6u+9J3LjpzQeUsk/rfIpEkDB8/3CU+TSiljs7471mDUYVKhD23ntk3rxVylHmz7S2E6bVHUjc9ojcIvSq6+9qhwYK3U5BIpHQoUMHkpOTuX79n7YC3tXs8Q6y59z2x2SlGVZ10pJiJjdjfM3xnI88z7nIcy8eN7exxbNqMJGP7oNUBm//pF1efvq3fMf6qkMVolKy2H87GkEQsLAIJCVVtzN5ZkYyUrJ023S9NIlJnkgkEonKpOptOwGw8pMx5GSVvb0uUisF6gxlybUl6DIXJHLt1yd1t4zV2tGUGq09UeWqyUgpP0UKSpsgCDhPnox5s2ZETZlCbnS0vkN6iYOpA780+4WQ5BC2PNiS7+uk1tZ4LFyAwseHZ0OGkHb6dClGmT9BELDu5ofUQk78ytuoMwqXWNkbyejpZMuCsFhSlYWb3XFzc6NSpUocP34c9b/6CjbtUxG1Us3Z7cXr52fIOlfoTJB9ELOvzH5paWrF+o2IffqElNgY8KwPVXvA2Xn5toEJdLWijrcNK8+GAmBlWYPU1Ds6Lb5iY2bE9bAknY1f2sQkTyQSiURlkrWTM4FvtQJg/aSP9RxN4Sn8rMm6l0D86jslk+hJJDA5DhqMgcNT4c724o+Zj6rN3AA4s1VsqVAcgiDg9MXnyJyctNUqU3XXDqMoWnu1pr1Pe6adn0auOv8kSWphgcfSpZjUqknYqPdI3rGjFKPMn0Qhw+7dQFTJOSRufVjo/XDjvJ3I1ahZGVH4PndNmzYlOTmZa9euvXjMwtaYOh19uHPqOYlR6fkfXIYJgsDYmmO5GXeTb89+++Jx31rafXV3ThzRPtD6O+0S8xM/5ztWj5ruXHiSQFhCBlZW1VGp0khIPKOz2HNVanFPnkgkEolEhqDd6PFI5XLiwp6SmWZYF8hvYtXaC5ueFcm6m0B2SFLJDdzmewjsDpsGwfUNJTfuv1jam1Cvsy/3z0fx5Lruir38Fxh5e+O5dAk5jx8TN2++vsN5RVe/rgB8e+bb175Oam6Gx5w5WHXsyPNPP+PZ8BGlEN2byR1MsX2nIpm340k7Ubj9cB7GRtSxMuP7x5GoCpkgurm5UblyZQ4ePPhibx5AUHN3zK0VHFt7v+Rm8Q1MPRdt8ZmtD7e+WOprYWsPwOlNa7QvsnKDJhPh/EJIyLtwT8dgVwA2XwrD0rI6AKkpN3QWt6uVCdlKNepy8vciJnkikUgkKtMG/vg7AMvHj9JzJIWn8LEEIPNG4WcK8iUI0HU+mDvBn6N0lujVaueFpb0x+xbfQqUqn42eS4vCzw+74cNIWL6chNVr9B3OSxq4NqCHfw+2h2wnNDn0ta8V5HJcfpiO3MOD9FOniJkxwyCqSZpUtce8sRvJ+5+QE1a4m0EdHKwB2BGTVOjz1q5dm8zMTK5e/acojcxISsvBVXj+MIkbR4vRL9PArX57NQBfnfrqxWO1OnZDECT/LK9vMAZM7WDvp3mOYa6Q8U5td7ZdjUAQFICEjEzd9QS1t9A2RE8vZLEdQyUmeSKRSCQq0+zcPfGsGkxmagq3jh3SdziFIrMzQeZggmBUwv8cy41h5DHwqK9N9KbaQ3bJ9n8SJAItBlZBrdSw5cdL5XZWorQ4jBuHwt+P6GnTyLpftNL/uvJJnU8wkZkw++rsN75WEAT8Dh7A6YvPiV+ylMgvvkSTo/+9m1btvJG7WRC/9m6h9ucNd3fA28SoSEmen58fXl5enDhxAqXyn8TBvbItPsH2XNz9pNzua63uWB1rhTXHwo696LdYvXV7NBo198+c1L7IyBSafgwPD8C9PXmO06u2B+GJmVwITcDOrglpaXd0FrOpkQyAxPTyURhHTPJEIpFIVOZ1mvAFAPvnzyIjJVnP0RSSRNDNuJau8O4u8GsF6lxY/na+RQ6Kyq2SDf51nIgLS+Pa4bASHfu/RpDJ8Fq3DpmzM2Gj3zOIxOh/zORmjKg2goNPD/IspWAzKbaDB+P6y8+k7NlD2HujUWdn6zjK1xNkEuz6VUadrSJhS+H2543ycGR/XDKPMwr/M7Rt25aUlJSXKm0CNB9QGYALO8tvz8m17deSqcxkztU5AFg7uwBwYOG/bhbUGqL9/4a+eY5R28sGT1tTtlwOx9S0ApmZYTqbHXawUACQmGE4v3vFISZ5IpFIJCrzjM3N6T9dW45783dfveHV/yFSOQzYCr3XQnwIzK0LsSU7S9R6aAAAj68Wvh+Z6GVSCwtcp09DGRlF6MCBaJSGs2ysX5V+2BnbMen0pAIfY9WpE+7z5pFx9SrPhum/sIzMxhjbXhXJuhNP6uGCL/vr62yLQiJhU1RCoc/p6upKQEAAJ0+efGlvnomFEYFN3Lh98jnPHyUVetyywNPSEw0aVt5ZSWKWtrG8V1ANJFLpP4maRArvrNJ+HXrqlTEEQaBHTXf23IzE1LwOSmUKWVnPX3ldSTBXaGfyUstJGwUxyROJRCJRueBcwR/3KlWJexbK5u++NIi9QAWhyVSSdvo5qcd1OBNWpSMM269dsjm3DlxaVmJDC4JApXrORD1OITen/DQS1hezhg1xnvotWddvcK9qNdTphlGF0Uxuxtf1v+ZqzFVORxS8TYJ540Z4Ll5E9p27PBs+HFVKyc4mF5ZJgB2mNR1JOfSMrAIWPDKWShjkasei8Fiisgu/lK9Ro0YkJSVx+/btlx6v1c4LgIu78i48Uh4c6aWtptl0Y1MAApu1RK1SER3y8J8XVekMzkFwZBrk8bndvaYbGTkqLkXYAOisKbqpkbZvqYay8W/Hm4hJnkgkEonKjU4TvwBB4NmtG5zbppuCIyVNUcEagOS9oajSdLhMyLmaNtGzcIVdE+Ds3BIbukZbTwDO/1V+l56VJptevXD7Vdvr8FHbdmhUhpE8t/BsgZ+1H2OPjC3Ucaa1a+O5ciU5T0IJ7fUOyvh4HUVYMDbd/ZHaGhO3+CbKxKwCHTPR2wljicC0x4WfRXJzc8PLy4uTJ0++dPPJyERGm2GBhN9LJOxe4WcJywIHUwcauDQAIDQ5FN+a2lYKt44d/OdFggAtvoZnZyDkyCtjeNiaUtfHli3XtDNs2dmROonVSKpNi3LLSSEpMckTiUQiUblhamnFuNXbADizaa2eoykY296VsBtQBQCNUscXF06BMP6m9uv9X8LN/JtcF4atixmCROD6kbByU35c3yzbt8ft15mo4uJIXG8YNywEQaB3pd7kqHO4GXuzUMeaVKuK98YN5MbE8KRrNzL/36xWaRJkEhxGVgMg6qeLBSoaZCWX0cvJls1RieSoC/97Wr9+fWJjY7l06dJLj/vVcsTOzZwds66hzDWMZL6k/dZcu5S+01+dUJia4lk1iISI/1dZ1L81uNeFI9/nOZvXs6Y7p0O0iXBM7AGdxCn/O8nL0fXncCkRkzyRSCQSlSsyuZy6XXoCsH3G93qOpmCEv5cJlQqpDD64CHIz2Dosz30whSUIAvW7+AIw//2jxR5PpGXZvj3mzZoR/f33ZFzWzRK1wupUoRNGEiMmnZ5ErqpwSxcVPj74bNuK1NaW0B49SVi5UkdRvpnM2hibXhUBSDn0tEDHdHXSLhfcG1f44k6VK2sLrVy5cuWlxwWJQN1OPgBcPaC79gD6ZCY3e9E7LyUnBStHZ8Lu3ESt/ldSKwjQYhI8vwL3974yxtvVnFHIJGTjTUrKNZ3EaSzXfg5nlpNkW0zyRCKRSFTuNO4zCEsHRx5dPMe1/bv1HU6BqZJKqQKhQ0X46J726xUd4OKSYg9Zs60XXlXtAHh4KbrY44m0HD/7DIDwseNQJSXpNxi0F+wLWy/kcfJjfr38a6GPV/j44L1OO8se/cOPZPyrh1xpM6vlhHkTN1KPhZH9OOmNr69haUo9KzNWRRR+uakgCHTp0oXIyEji4l7ui+lb3QH3yjbcOfUcZTnd1/pD4x+QSWRsvr8Z9ypVAQi9/nLCi28z8GoEx396ZTbPwlhO20Bnbsdp9zHm5pb83k5juTYtysoVZ/JEIpFIJDJIgkTCsNmLAQi5csHgi7DI3cwBiF9zt/ROamwJH14B/zaw+yO4/Wexh3z7Pe0SuANLbot980qIwtcH7y1bUCUkEDNzpr7DAaC2c206+nZkzd01xGcWPuGRmJlR8dJFjIODeDb4XVL262b5XUFYtfVGUcGauBW3C7QndpCrHaeT0riQVPi+k1WrVsXExOSVJZsAzfpWIiMlh+tHymcrEgdTBzpX6Myau2vwaVAfgEs78/jMafYZRF6DO3+98lTv2h5svtcEgPj4kl8xIAgCRlKJuFxTJBKJRCJDJpFI6TD2E0KvXebC9pLZe6YrUjM5pjUc0WT/H3vnHd5U/f3x181Om7Tp3gsKlFH23sPJUBGU7UJUBEVF/bn1616gqOBEUVCUoSLIEBAQUDZlbygddO89kvz+uFAo3aVtmvJ5PU+etvd+xklIwj33nPM+DXwX3605jF8C7i1h5QyIr1md1dUoVQr6j5VT4OLP2lm/wkaMvl1bXO+5h/TfV9hcnfISD7V/CID3dr1Xq/lKg4Gg77/HMHAgsTNnkrVhQ12aV20klQLXu1shaZQkfhpR5c2JEZ4mABbG1dy5VavVdOrUif3795OfX1rwxeTlQLv+fuz+M5LsNNv2FKwvHmj3AGn5aSw+IdeYRh85WHZQswHQfDBseR+uqn3s2cyNxFwPiswqcnJO14uNVqwkZTWN1184eQKBQCBosoT1GQDAtsXfk3DujI2tqRyVmw5Jr2r4jSUJHlgHBi/4evA1O3phveWGxzv/EEqbdYnrAw8gqVQkvFs7p6quCXEOoYd3D9ZEriGvOK9Wayh0Ovxmz8J4ww3EPPkUWX/bpp5TadTgMjIUc0YB8e/trnSsRqFAASyNT6OoFtHqbt26UVBQwObNm8uc6zosGKvZSsT6plmbF+QUxJ0t7uS7w9/Rc8wEAFJiyolc9n0KEo/CqdIRXoVCYurAUM5mhpKVfarsvDqgyGzF0sgzP6qLcPIEAoFA0KQZ89q7ACx++WnMjai5dKPCwRUe3AgaAyweDxmxtV5KrVEyYFxLYk+ms3dtZN3ZeJ2j9vLEY/p0Mn79lfjX37C1OQA83e1pJCQWHFlQ6zUklQq/D97HOGgQMTNmkFWO89MQ6Nu6A2DOKKDwQuWpmOu6ytHqv1NrHlV1cZHFW3bs2IHlqkiV3qChw5AADvwdTXY1WzvYG/e1vY/0gnS2e8q9AeNOHS87KLgvBPSErR+Wqc27o6MfUZleJKaVM68O8HfR18u6tkA4eQKBQCBo0vi3bsfAe6ZgLiriq0fvs7U5lWLJLCTpm0O2qSHUOcEjW6EwC+bfCIW5tV6qbX8/nD307Pj9rGipUIe4PnA/Kk9P0n76iYLT9ZOuVhPCXMPo6t2VeRHzah3NA5DUavxmfYhhQH9iH3uc7H/+qUMrq4/fG31QeepJWXgUSyWp0+FGB9ob9CyuRcomwNixYwHYvr1sU/n2g/1RqCS2LamfSJWtCXSSe2ouPLMYV/9Aoo+WkzkgSdDvKYjZXUb9t5W3kQvZ3kjmGMzmuk+rVCsVxGc0DQdbOHkCgUAgaPJ0GXY7Pi1akZuRTszRw7Y2p1zUPrL4SsHpdLK3XyDveCoFUQ1cf+XsD/ethtwUmH8TWGpXIyhJEoPvkSXjIw8mVzFaUF0kSSJkxe9oQkI4N2o0xcm2f20nt5sMwKaoa0u1lNRq/GfPxrFfP2KmTbdJRE9SK3Cb1AZLdhEZf1aebjzWx5X1KZkkFtSsjQRAq1atUCqVHD16tMwNHYOLjv5jWnJmf1KTrWt9u+/bABQEOXIuYm/pVgqXaHETuDaH3x4uc0qnD0UhWUnOqHtHOCu/iALRDF0gEAgEAvth+BPPAfDL/57DXFzzC7P6Rt/WDb83+gCQseosKQuOkDTvAPEfllXiq1e82sDtcyHpOGx8vdbL+ISacDRpWfPFIaG0WYeoXFwI+PILrAUFnBt5p63NobtPdwCWnbp2cSNJo8Hv449kR2/6Y2SsXHXNa9YUtYcDxsEB5OyKJ+94aoXj7vRyQSMp+DomqcZ7SJLEuHHjiIuLIzIyssz51r19cHTWsGXxiUavDFwbRjQfQTu3dux0OENeZgbxp0+WHSRJ4NcFMmPhQuk2Gy/cNhSAPafqvndkqKcBmshLLpw8gUAgEFwXOLl70P2OfIOfewABAABJREFUuwDY/MO194WrDyS1AufhzXAe1gyXUS0AKE7OI3NTAwsxhI+Gno/A9o9h19e1WkKSJEK7egKwa9W5OjROoAkMxPXeeyhOSiL1hx9saotaoWZqh6nsjt9NdOa1y/8rNBr8P5mD8223ceGZZ8hcu7YOrKwZxgEB6MJcSVt6osK2Cia1iocCPPgmJomEWkTzmjVrhqenJ9u2bStzTqFU0OvOUJKjs4k6UrGjac9M7zSdvcpTKPU6zh+KKH/Q7XPln18NLHU42NOb7CITZ+KuTSSqPJQKiePxjUPB9loRTp5AIBAIrhv6jbsXjV5PxLo/STrfOB0PY18/jP38cOzmjfdzcpQkc915ipJqXyNXK4a8Kv9c/TSc3VKrJfqOboHWUcWhzTFNMiJhSzyffhpJqyXh7XfIO2TbFORxYeNQSkruW3dfnawnqVT4vPkGTkOHEjvzaTLXr6+Tdau9v0LCZXQLQCLt19MVvncfDfBAq1Aw53xCjfdQKBT06NGDM2fOcOLEiTLnW3b3wslDz57VkU3ys9PLtxdWBUQaUzmzZ1f5g1QaGPQiSApIO1/qlFLTnKL8M2Tk1W1Whl6tRJKkOl3TVggnTyAQCATXFZfSNvet+cPGllSNyqTFNKIZAAmz6j41qVKUanjmLDj5ww+31drRGzQhjILcYtZ/e7SODby+kdRqQjf9jdrfn/MTJpC7b5/NbHHRudDHrw+JuYmk56fXyZqSQoHv++9hGDSQWBu0V1Aa5LYK+UdTyN2XWO4YZ7WK+/zc+eFCMhlFNVfu7dChAwCLFy8uc06SJPqPaUn82QwiD9VO4KUxo5AUTAmfQqZDMQlnT5ESU0G2Qq9poDPBv5+WOuzn0YYWLqf5+3jNHezK0KgUpOc2vnT+2iCcPIFAIBBcV4R07ELzrj04vGk92amN/+LJ0McPTYgzAHmHG1how9EN7v9T/v2H2yEtssZLNOvkgUqj4NTuhCYrJGErVK6uBC5YAEolF557HmuR7S5OX+v1Go5qR57Y/ESdrSmpVPjNno2hTx9iZ8wga1PDOnr6du44dPEi7bdTFMXnlDvmfj+59cJXtajNU6lUeHl5AZCSUva7KLCtK/5hLmz58Tjm4qYhBnIl41uP50RgFgCn9+wsf5DGEXo8DLu/hpzL338aKRNHdS5/Hb72FOErCXB1QKMUkTyBQCAQCOySS03Sv5x6r12kQhn7+AKQsugY1oZWfnMJhgf+Aqzw3TBIr9lFlSRJTPmoPwZXLcvfb+Bo5HWAxt+P4B8XURQVxYXnX7CZHR4OHnTw6MDehL2czzxf9YRqotBo8P/0EwwDBxDz+AyyNm6ss7Wrg+m25qhMOlJ+Ooa1qOxnz0urZqy3Gz9cSKG4FgJDDzzwAJIksXXr1jLnJEmi96hQcjIKObQ5plb2N2bc9e50DutLtpOVtLhKenN2lRVc2bug5JC39+0AHDx/mJyCuut/6qBWkZnfNPqpCidPIBAIBNcdYb37c8OD0wA4tHGdja2pGn07d4wD/AEoTrVBD6fAHjDjIJgL4dubIbFmjYgVSgWBbd0AOLrtQn1YeF2ja9MGl0mTyFy1ipz//rOZHe/1ew9nrTMf7f2oTteVNBr8Zs/GOHgwsU88Sc6OCqI+9YBCq8RtYmuKU/LJ3Fz+DY77/NxIKizm98S0Gq+v1Wq58cYbiYiIICOjbKTbI8BIWE9vti87TUETSSO8ksnhk4kxZXNkT1kntwSDB3ScAH+/ARcbyDs6ysJUfoY4/j5efjptbcgtKia7Dp1GWyKcPIFAIBBcl7S/4RYA1n/9mY0tqR76cDktLPWXsiINDYJLEIz/BfLSYF4P2PAa1CAK2vcu+aJs06KaOYiC6uH13P+had6cmMdnYM7OtokNJp2J+9rex5boLXUazYOLDdM/eB+Hbl2JmTaNvCNH6nT9ylB7O2Lo5Uv21liKEsqmbbYzOtDNyZFFF2qX/t2pUycAFi1aVO75LrcGA/Dfb2dqtX5jpoNHBxJc8yG7gMykSpy14L7yzz3zAdBoZOVeP0Mcjy3eX9GsGuNl1NXZWrZGOHkCgUAguC6RJInQbr0A+Pu7L21sTdVo/I04dPakKCabmOe2kl5Fs+Z6wa8zPLwVgvrCto/gl4nVnqrWKGneWb4wK2wi6VCNCUmpxPe997BkZxMz/TGs5to1sr9WJrSegKvOlf/99786X1vSaPCbMwdNSAhR991PwZmGc3qcbgxC4agibdkprOayNzcm+LqyIyOHM7k1j7Tr9XoCAgJIT0/HXM6/m8nLgU43BnJk6wXSExtYZbeekSSJ4HYdAdj/34aKB3YYBw5ucFpO11UoVGg0Hvgb5TRPSx314nTUKut0PVsinDyBQCAQXLeMeEpW2ty/diWndtsuza26GAcFlPyevTWWgkgbCJm4h8piLCH94fiqGjVM73xzIADfP7e9vqy7rtG3a4vnzKfI3bGD423b2SSip1fpGdd6HLvjdxOXHVfn6yuNRgK/+xaVlyfn77m3wRw9hVaJ69gwCmOyyNxYNko5wtOEXiExO7J2ao+DBw+mqKiIU6dOlXu++4gQ1Fol//xcTuNwO+edW2ZTpLSw78g/FQ+SJBj4PJxcAxlyfaJW40mnACcAjsbVTW87jUp2jQobuva5HhBOnkAgEAiuWxQKJVPmfovBzZ0/PnyLonwb1LvVALWHA/7v9sPryc4AJH1xkPwz6bYxZuKv8s+ts+BU9fqYeQY54errSGG+mZO74+vRuOsXtwcfxG/2LAAS33vfJjaMajEKjULDwmML62V9pdFI0MKFKE0mzk+YSGFUBfL7dYw2yAnHrt5kbYqmKDmv1DlHpZJHAjxZkZhGXi0chODgYDw9Pfnnn/IdHZVGSfcRIUQfTSU9oWlF8xzVjtDSg4LD0RSZK6k7DL9L/vl5HwBMpm5QsAeAZ5cdrBNb9GoVAFlNINtAOHkCgUAguK5xcvdkyP2PALBl0XwbW1M91F6OON0UBEDGahs1dVeq4fEI0Bjgx9FwbGW1pt39fDfUOiWbFh4nJdY2tWNNHaehQzEMGUL60qXk7Kyg0XQ94qJzochSxMKjCykwF9TLHioXFwK/+RpUKqIemExxcsO0F3EeFoLSWUvK90fKpG2O8nah2Aqvn6m5uJAkSXTv3p0LFy4QG1u+0mS7AX7ojWr2rqvbesfGQNvmXVEXS8zb/WnFg/Qm+Wd+OljMKFWOWK1FSFjqLJKnVcuukVmkawoEAoFAYP+EdusJwIH1a9ix/GcbW1M9nAYHog01YS2wTe0VAK4h8NQx+fdfJkJxYZVTlGoF417pQXGhhb1rIuvXvusYvw8/QGE0kvjBB1gLq/53qWveHyBHERcdLV9MpC5Q+/gQ/PPPmLOyiHrooQZJT1XoVLiOC6M4OY/M9aWdrVAHHT2cHdmVUTs7OnbsCMDff/9d7nmVWknnm4M4uSOezJS8csfYK70H3wHAmq1lG8OXYsJy+eeW90sUNh/oJadsXki/9tdEKck98sx20FqnKoSTJxAIBAIBMOm9TwDYvmSRXfTOA3Ds4iVfbFYg7d4g6Jxg0m/y7/NvgMLym0ZfidFVR+dbgji1J5HUC1WPF9QchV5P4LfzyT9+nKTP5jb4/rcE30Jv3958vO9jii31l/qm8fcj8JtvKI69QPTkB7Hk1P/7SRvkhGM3b7K2xlB8VdrmeB83jmTncz6v5hFMlUpF3759OXPmDOnp6eWOadvPD42Div1/NUyKakPh6uuP0smBVtFGzmZUIioVOkT+ueXdK5w8WRFzw7Ha1UNeiUpx0ckrR1zH3hBOnkAgEAgEgGdwM7rdNgqAXb8vtbE11UPt4whA5gYbp281HwwjPoG4AzD/ZjBXfVHfrr8fgKjNq0f04eE4Dx9OyldfkTK/4VORb28uN6x+e+fb9bqPPrwdAd98Q8Hp00RPn46loH5SRK/ENKIZKhcdSd8dxnpFat8wD2e0Comf4lJrtW7fvnKrgIraKai1SjoMDuDY9jhyMur/eTYUkiTh7ulHYIIDt/9+e2UDod1oAPQFskNWnHeAMG8jH6y79vYyyotOXrFFCK8IBAKBQNBk6Df+PgC2/fyDXUTz1N6OcpP0YisFZ9Nta0yXe2HAc5BwCD7pWGVEz+iqI3yAH3vXnOff5acbxsbrEK+XXkLt50fiBx82aMsBgKHNhjKm1RiWnlxKRkH9KsHqw9vh//k88vbtJ/bxGViL61c4Q1IrcbkzFHNKPtlbL9fQGVRK7vRy4avoRCy1+A7R6eSoVHJyMoUVpNmGD/RDqZKIWN+0onkBrcMBcMhTVv79O+JjAFTrZWVfszmPYouVrPxi8ouuLX1dpbwYyRM1eQKBQCAQNB0kSaLHyDEArJz9jo2tqR7aZs4AJH11CHN2w9delWLQ8zD6W8iIhh9ur7JZet8xLdEb1exfH8X5w7VrJC2oHKXBkeCf5Tqns8OGN/j+E1pPAKiXvnlX49i9O/6ffUr2tm3EvfhivfcK1DYz4djLh4w15yi6on/dre7O5FmsbErNqtW6jz76KACbNm0qf18HNeED/Tmy9QL5OZWoUdoZXYePBMA3Rcfvp3+veKDWKP88vgpnp87k5kXy4rDWAKw9fG2ZAUqF7BoVFItInkAgEAgETYoeI2WZ7lO7/iXq8AEbW1M1ulauOPb0ASBxXiOwt90oGDYbYnbDlsol/BUKibue7wbAqs8O2EX01B5ReXig79ABgMKYmAbdO8Q5BD+DH+vPr6fQXP83IQz9+uH73ntkrFxFwrvv1ft7yvnWECS9itRfTpTs1d9FdkL+S6+dAIunpycuLi78999/WCpIG2w/OACLxcqBv21Yj1vHOJpc8Ahuhk+yni0xWyofPOl3ABysRvJyIxnY0gOAJ5dE1IktwskTCAQCgaCJodbqePyHZQAse/NlG1tTPVzuCG1c/6N3mwyd74XNb8O2jyodanTVMeRe+S783rVNTxq+sRDw1ZcAJH08p8H3fqXXKwCsObemQfZzHj4M75dfIm3hQlK+/LJe91JolJiGhlAUm03u/kQAdEoFd3iaWJ6QVut1O3eWe2GeqSDF1sFJg7nIwp4/IylsAj3dLhHYrgMhmS4cTDqI2VJJJDZkADgHoEmJITPrINJFVcxr9emNOrlPnkjXFAgEAoGgCaLW6gjt1gur1WIX0TwAxx4+SGpF44mGDf0Q2o+FDa/Bvh8qHdqqhzd6o5pj2y9QfI01NYLyUTo74zJ+HFl//UVxau1EQWpLb9/etHRpyecHPm+wPV3GjcN92jSSPp5D+vJf63Uvh65e6Fq5kL7yLMUXxVBucncmrqCIfZm1U/vs06cP7u7u7N27t8Ixo57tAsCWxdcuONJY8G3RCkV2ITlpqeyI21HxQIUC2o9BGyV/PxcX59DGR26lkJCZX+v9NcpL6Zr2/z0knDyBQCAQCMph6GMzAVj6xos2tqR6qL0dKU7IJfbl7STM2Ye1yMbpRioN3DEPwobDH4/LypsVICkkbpvRiczkfA5sbDrpZ40N98ceQ9JoSPro4wbf++6WdxObHcv22O0Ntqf79Gk4jx5F/Guv1WtTeEmScLmrJZJCInNdJAC3eZhwVSv55HztZP0VCgW9evXi+PHjREeX/5nwvliPe3JnAkWF9u+UAPi0DAPAM03LIxseqXxw+GiM2XIUMzf3DD9N6YFSIbHuSO3r8rQq2TVKzLR/5VLh5AkEAoFAUA5yNE9ukn5yxzYbW1M1hh4+uI5rBcVWiuJyKIisXzXDaqFQwsgvQaWDL/tDXsXpa+7+Blx9Hdnx+1nMTaAepjGicnHBY8YM0pcuJXtrw76n72hxB76OvvXeTuFKJEnC+5VX0HftQszUqeQdPFhveykNGhy6eJG7L5HCC9moFBJ3e7uyNjmTpMLaiaN07NgRnU7H1q1bKxwz8Y1eAOxeea5WezQ2jK7umLx86J4YAEBqfiVRZ8/W6BQmANIz9mJy0NAn1J2/jtS+X55eowRAq7Z/F8n+n4FAIBAIBPXEbTNfROvgyOFN621tSrVw6OCJ99NdAUief5ii5DystnaYtAYYfbFH28bXKx3a9y65ufGuVU3jgrUx4jJ+HLrwcGKfeKJBRVi0Si3jwsYRlRVFRGJEg+2r0Gjw//QzNC1CiXpwCoWRkfW2l/Fi78fk744A8HCALAby+pkLtVpPqVTSuXNnTp48SU4FTd6dPfS06uHN/vVRFBU0jWiezmDA22wC4JcTv1Q6VjvgDVRFFizZ8mvcN9SNbaeTyatlZFNzMZJXYOtMiDpAOHkCgUAgEFSAJEkMuu8hzkXsJSXGPtIIVe561AGyul/Ch3uIfWm77VsrhA2DwS/Bnm/lRwUEtHbFM8hI1BHRTqG+kJRK/GbPQmE0EvvkU/XeZuBKxoTJ7Ukaop3ClSgNjgTMm4fS2ZmoB6dQnFI/7y+lQYO+nRuWrEIKzmbgo9XQzqBnaXxarWtl+/TpA8D69RXfaOpyaxAAhzY3rHJqfRHSqRuZ8fEoLDAvYl6lY6VWt6ArsJB/fgMArbzlurw3/zxaq70v1eTlFtq/mI1w8gQCgUAgqIRWvfvjaHJh75+/2dqUauM5tQNOtwSX/F18RQ8vm9HvafDrAquehFMbKhzW8YZAkqOzuXA6veFsu87QBATg++475B85QtJHlauf1iV6lZ6RoSM5nX6aE6kNKxaicnMj8LtvseTkEHXf/ZgzM+tlH9fxrVG560lbcRqrxcp9fu4A7Mms3WfQ0dERBwcHIiIiyM8vX1DExdsRraOK/347g8Vs/xEo/9btALjP5U4ADiUdqniwgys6lRv5xUkA9G8hv94/7qxdo/hLKp2JWaImTyAQCASCJo1Krab9Dbdw6O+/2LVima3NqRaSQsJpYEBJ6majQJJg3C+g1MCPoyCr/LqZZh09MLrp2LTweAMbeH3h2LMnHo8/Tso388mqoOl2ffBizxcJMAbw9JansVgb1iHR+PvjP28uhbGxxDw+A2tx3UdrJIWEy+gWFCfkkrkxirHergTqNCyITa71mhMnTgRg9+7dFY65ebLsGK3+vBKHyE7wb9MWANedcg3vhqiKbwoBODi3IVfKhqwEJElCpZCuaX+dWoGDRnVNazQGhJMnEAgEAkEVdLttFEgS/y1f3HhaFNgjBg+YfvFC9btboSivzBClWkHnm4NIT8jl/GGRtlmfuN53L5JWS8zURymsQMGxrtEqtbzU4yUiMyP58diPDbLnlTh06oTfhx+Qu2MHca+8Wi+fZ22wM5JeRdbGKJRmK7d5mliTnEF2LWX5fX19adeuHXv27MFcQXptQBtXAM4fTsFq5z3eFApZ/KQoO4fWrq359nDFKd4ADj4DyNMpsJxYCcADfUMAiE6tXfTUSaem0Na1zHWAcPIEAoFAIKgCtVbH6BffoLiggP+W/WRrc6rPxTva2dtrJ/xQL7gEw10LIPUMfHNjuUNadvcC4K/5RxrOrusQhU5Hs1XyhXHCm2812L69/XoT7BTMH2f+aLA9r8Q4eDBeL71Exq+/kvx5/fTucxsntwLI3BzNJF83cs0WVifXXvG2T58+ZGRksG/fvgrHDJzQCoAdK8pvoG5PdLt9NEUFBbjr3AAqTe91cOkAkkTuVrnWc9qgUACeWhJRq721aoWoyRMIBAKB4HohKLwjALtXLMdcD2le9YHSRQtA3pGUxhWBbDsSOt8DCYdgyT1lTmt0KnrcFkJhXrEQYalnNAEBeDz5JNlbtpC7f3+D7dvFqwvHU49zKu1Ug+15Ja4TJ+D+6FSSP/mUhPc/qPP1dS1dMPT3J+vvKPwKoLOTA39dg5Pn4+ODh4cHe/bsqfCz3LafrO55cldC4/q81wL/sLbkZqTzQuunALh/7f0VjnVwbAZAriof8jNw1qsB2B1ZccuWynBQq8grsn+lUuHkCQQCgUBQTQZMmkxxUSGLX37a1qZUC0mS0LVyASB3TyO78BvxCbS4GY6ugOOry5zucmswOkc1Kz+tuIm6oG5wmTABgKQ5nzTYni/2eBGjxsjKMysbbM+rcZ8+HYDUb78lt5J6t9piHOCPpFaQ/N1hhrg6sSk1i/xrEEa56aabSEhI4MyZiiN1Ix7vQHZaAYe3xNZ6n8aAd3O5nUpWZCwahYZia8U31jRqN1RKA7kOSlg+BYCHBzTD06it1XeeRqWg2M5TXkE4eQKBQCAQVJuuw0fSdsAQEs6eZvPC+bY2p1oYevsCkLb8FFlbGpHEuiTBmEVy+ubP4yAj5qrTEs06yX3GzkYk2cDA6welwRHvV18hd8cOUn/4oUH2VCvVjGg2gh+O/kCxxTaRcUmhoNW+vQCcn3QPhVG1U2SsCKWjGrcJrSlOyOWGC4XkmC2svYZoXmionIa4aNGiCscEhMm1ecd3xNd6n8aAg7MJvZMzcadO8F7/98grziMyI7LcsZIk4WhoSbajEk6tA6BHiCuJWQVE1aIuT6mQMJuFkycQCAQCwXXFzY/MAGDvKvtoqaBr5Yr7lHAAMtdG2taYq1FpYNJv4OAOH7WFjNLRh4Hj5Rqjg5sakXPaRDGNHYtjv34kfvQxRfEN4yDcFHwTZquZV/99tUH2Kw+FgwOhG2X1xvOT7sFSQdPx2qJr5Yom0Ij72mh6ODny/Mnav5clSUKj0QCQkVG+sygpJAaMb0ViZCbRR1NrvVdjIC8zg/1rV9LHT+4VOOL3ERWOdXRsSY5BJ/9hMdMlSHZ27/uu5hFalUISkTyBQCAQCK43JIWC9jfcAkD8GdvUE9UUXXMTTjcF2dqM8nFtBiM+ln+f1xPyL1+8SgqJG+5rTeyJNHLS7b9vVWNGkiT8Zn2IwsGBC//3XIPs2dmzMwCrzq6i0FzYIHuWh9rPj5AVv1OckMCJLl2xWupWWdFldEusRRbanM8lrdjM/lr2zAN44oknAFi9umyK8yUuCRdt/L52DcEbC33HyvW6UsHl+riK0i81GneyHcAKEL2zpC6v1pG8On4P2ALh5AkEAoFAUEMG3jsF7+YtWP7Wy6ResI8ok0In930yZzZCZ6n1CDmiV5AJS+4tdSqonTuSBHvXRNrGtusIpZMTzrffTu7OneTu2VPv+0mSxC/Df8FitfD76d/rfb/K0LVqhdOwYQAcb9O2TutX1Z4OaAKMPHBMdjiuJWXTwcEBgBMnTlTs8OhUuAcYyMkoJDfTds7ztdKypxzBiz1+lJ4+PQEqfJ/o9QEA5GsVcnsW4KH+zXDUKGv8b6lSikieQCAQCATXJWqNllumPUVhfj7fPfkIhXm1vzPfUKg89ADkn6n9BWa90nwwhN8NZzfBv5+VHNYZ1LQb4M+hLbGc2GnfdUb2gOeTT6Dv1InoqY9iya3/93Vr19YY1AZ2xO2o972qwm/WhzgNHQpA6oLv63Rt45BA9Fly7eGc89cmgtS6dWsAoivpbXjjA3JD8QN/N0z/w/rA5O2LwcWVc/v38MlgWRTov7j/yh1rMMgtK3IclSXHnPVqMvOLOR6fVaN9i81WTiVk19LqxoNw8gQCgUAgqAVufgHc+fxrACx/23Y1RdVFG+wMQNovJ8j+rxH1zbuS2z+T0zf/egnO/1tyuNuwYNRaJRu+O0phnn20r7BXJLUa33fexpKV1SBqm5IkcWPQjaw/v57zmefrfb+q8Js9C5dJk0h8/31y/ivfoagNulYuqDz0vHYoD4CdGbWv/Rs9ejRApT3zXH0cad3Hh2PbL2C208bekiTh4uNHcvR59Co9AwMGcjL1ZLljDY4tAUjs1F8+ELuPiT3kFPVP/65ZWr3ZYsXDqK294Y0E4eQJBAKBQFBLgsI7Mvj+h7lw8hiRByq+4GoMSGoFxkFySlN6Y22WrNLCQ5vBoxX88RgUyhfCeqOGUc92AWD7Mvuog7RnNMHBGG+8kdRFiyiKrX8p/me7PYtRbWTqhqn1vld18Hru/3Do2YOYadPJO3SoTtaUJAl9O3duiStGCay7hpRNpVKJr68vERERFBUVVTiuw5AA8rKKOL0nodZ72Zqg9p1IOn8Wq8XC8GbDOZNxhtjssu9JhUIWpCnSyxkL7PgcZwe5Lm/1oZplAAS4OlB4Da0uGgvCyRMIBAKB4BroePNwdEYn9q9bZWtTqsT55mDU3g62NqNydM5w1/eQGSc3SjfLF7FufgZa9fDm6PY4Yk7UrsmxoPp4/+81JI2GpLnz6n0vg8bAmLAxRGdF89+Fuoue1RZJqSRg3jw0zZsT/eAUCmPqpu7W6aYgVFYYFF/EnmuI5IHcMw9gx46K01zdfA0EtnVl//qoxtUjswZ4NQulMC+P1Aux9PGVa/Se+6d8YSAHhxCsah34doaLQj6TegbRzMOxRntqlArOJIp0TYFAIBAIrmskSaLDDbdwbv8ezMUV31VvLOjDPZC0yqoH2hLPMLjrOzi9AT7tAheV7vqPk1OyNnx7xG4vWu0FlasrTjfdSObq1Ziz67atQHnc0+YeJCTmRdS/U1kdFHo9AZ/PA42amKlTMVfQsqAmSJKE28TWdEozE5GZS2axuepJFRAcHEzbtm3Zvn17pdG8LrcEkRKbw/nDKbXey5Z4h8qf+egjBzFoDABEJEWUO9ZobEdGRgQE9Yajv4PFQscAE2eTcsjIq/53c2puIU4X1TntGeHkCQQCgUBwjTTr3B2rxcLC/5tha1OqxGqxYi0wUxCVaWtTKqflzdBhHKSfh38+AGTVwNuf6EhORiGbFx23sYFNH48nnwSrlZSvvqr3vVx0Lrza61UikiKIzmwcYiEqd3cCvviCosQkYqY/VietFfTt3Bnq50oRsDb22vrYDR48mPz8fDZv3lzhGJ9QE55BRg5sbByvaU3ROcqO3flD+wEIc5UFVrIKy4qpaLXeWCwF4BIsH4jeSYcAEwAHY9KrvWeIuyOSVGuTGw3CyRMIBAKB4BrxadEKr2ahpMXFkpuRbmtzKsWhvTsAaUvLFzBoVNzxObiFwua35age4B/misFVy9HtceRkNMJ2EE0Itbc3LuPHk/LVVw1Sm3dz8M1olVoWHltY73tVF33btvh/NJvcPXtIfO/9Olmz5ZBg2mSY+ePgtb2mbm5uAGzfvr3CyLYkSXQYEkDM8TRSYu0zBTGkYxcyEuS6ug/6yzd8fjnxS5lxDg4hWCx5mDuOAY0Rzm+jmbsjRp2KA9Hp1d5PrZQoEjV5AoFAIBAIJEnijmdfwWq18vlDEykqbLzOh8pDrskrTsoj+fsjNramCiQJHtwIeldYPA4uRABw84PtAPjrm0ZufxPA/ZGHAUj7uexFdV1j0Bjo6NGRxccXU2BuPJ8hx9698Xr+eVK//570ZcuueT2lQUOfpGI2OlprlEZYHiNHjgQgMjKywjHNO3vi6Kyx23YKRjcP0uJkReBg52AA5uybU2acVis3gc8vSgT/rrB7PgqFRMcAExE1cvIU5BbUPpW2sSCcPIFAIBAI6gCDiyvdbhsFwG/v/s/G1lSMpJDwerorAIXnG3nKJoDeBJPXg3MAfDUAUs7g3cyZsF7eXDiVjrkJ3HFvzCidnXEeOZKUr7/GklP/tXnTO00HYPXZ1fW+V01wmTQR0913E/fqa+QdufabC2NvaYlVkvh137U5XuHh4bi7u7Nr164KxyhVCsIH+XNyZwJ5WfbXHN2/bTjFRYVkp8p1hTM6y2nxV98IcHRoBkB+/gXISYKsOMiMo4O/iYjojGrX8eYVmUnJsb/X6WqEkycQCAQCQR3Rd+w9gCwS0JiFQdTuegz9/LDYS88591AY+5P8+6edIekEQe3ktNOY40Jps75xe2gKAPHvvFPv7+uOnh1p49aGZSevPWJWl0iShNeLL4DZTOSo0RTFxV3Tem0DXOhaIPFxZjrWa+hjp1Ao6NGjB8eOHSOjEnGYtn39QIIjW+s/7bau8QppDsCx7VsA6OvXF4BvD39bapxW6w1I5BfEwfCP5INxEXQMMJGcXUBsel619nPWq0VNnkAgEAgEgstIksTNU58AYOH/PW5bY6rAWmwBK8Q8txVLgR04e55h8OQRcHCDud1pFpCB1kHFrj/ONmqHuimgDQnBbeojZCxbzoVn/6/e95vcbjIHkw+yJ35Pve9VExRaLcE/LwYgavKD1xzZvMHXhQSdgnP/XZvjFR4ejlarrbSdgs6gplVPbw5tjrW75ugmbx8A/lkkO3VhrmGYtCYSckr3/1MoNKjVrhQUJIB/N/ng4rEl4isHoqunkGrUqVE2AS9POHkCgUAgENQhbfoPAiDp/DkunDxmY2sqxmlIYMnveQeTbWhJDXD2l1M3kVB8O4TBE0JJPJ8llDYbAM8ZM3AaPpysv/6iOK1+o6c3BN2Ap96TWXtm1es+tUHfsSNBi3+iKDqa6OnTsRbX/gbJuFay87LuaNw13ajQ6XR06dKFnTt3UlBQcS1jh0EB5GYW2l1zdIVCiYuvP35hbUqO3db8NpafWo7FerXDaiU/P1au53ULBUcPPIxa/Ex6IqKr977VKhUUW6xYLPZ980g4eQKBQCAQ1CEKhZIZC38FYPHLz9jYmopRGjT4v9sPkNsq2A1uzWH4bMjPIGTfvRhddRzdHseJHdeWPieoGq8Xngcg7aef6nUfhaSgn38/DqccJrOw8dWNOnTqRMBXX5L73w5O9upd63W8tGr6qLX84Ksk//S1Oc7du3fHarVy4MCBCse4+joS2MaViI3Rdhf9DunQmdjjR7GYZUEUP4MfAOsi15Ua5+zUkcTENfIfPR+F3FQozKFjgKnakbzCi3W++dfQx7AxIJw8gUAgEAjqGJVGQ5fhsurdvjUrbWxN1Vjz7SBd80q6PgCtRyDF7uLuKQZUGgUbv2+8UdOmgsrVFafhw0id/y1Wc/1eAN/X9j4A3vzvzXrdp7Y49uqFY+9eWLKyyFi5qtbrPN7aj3MGJZt2XJsAi8lkwmq1snr1aiyV9PNrPySA5Ohs4k5fe3P3hsS7RSsAYo/LojejW44G4Nl/ni01zmotBi6mWgb2AqsZonfRMcDEodgMiqsh1OR8sRF6QZF9pbVejXDyBAKBQCCoBwZMfACATQu+xHwNKV0NQcaaSPKO2EnK5iXu+BwA3ff96NJXh9UKCecaX9SnqeEydiyW3FyS531er/sEOwfjpnNjf9L+et3nWgiYPx/jjTdw4fnnyd27t1Zr9Hc1EqBQsoICCiKvzfEaN24cAAcPHqxwTGAbV1y8HeyuOXrLHr1R6/TEnpBv5miUmnLHqdTOmM0X+wF6tpZ//vEYHQNN5BWZOZFQton61Ri0KgAK7Kx28WqEkycQCAQCQT0gSRIj/+9VAHYsX2xjayrGNDIUgPyTdqZSqTXCo7LQRKcjQ1GqJJa917iEOpoi+vBwHPv2JXnuXApj6lep8dGOjxKfE09EYkS97lNbJEnCd9YsVO7unJ8wkYKz52q1xih/NzZ6qYn7+cQ12dOyZUsANm7cWOl+7QcHcPZAEhlJ1VObbAwoVWr8w9qwd9VvJcfuCL0DgOisyw6ri0svAKxWCyUSmRnRtPN1RqmQqpWyqVXJ7lF+kUjXFAgEAoFAUA7NOndDoVSy49f6byRdWww9fFB5OSAp7fCSwLM13Pk1SslMj5B9AJzabV+iEvaI30ezUfn6EPfCC/Va2zWs2TCARtdO4UoUGg1BP3wPQOyMx7Hk5tZ4jVHermSrJbZozRTF116xU5IkBg4cSFZWFtnZ2RWOa9XTG62DikObY2q9ly1IvRBDfk52SV3eox0eBWDh0YUlY9RqEwBFRRdvWt30Fqh06KUiWnkZqyW+cqlEOU84eQKBQCAQCCrCu7l8d72oIN/GljRR2t8NfZ+kY9ZbOLlI/DX/CBbRIL1eURqN+PzvdXJ37SJn69Z628dR7chtzW9jxZkV5BTVfyP22qIJDCRkxQoKYy9w4cUXa+z4tnDU4aJS8lkLLWkrTl+TLd26ya0DlixZUuEYtUZJ235+HN1+gUJ76ZUJDJksO3Vxp+SIp4/BhxDnEOJz4kvGqFXOAGRlHZYPhPSH4nyI2U2HaoqvGHVyuqadadOUQTh5AoFAIBDUIzdPnQHArhXLbWxJxVjzi8k9mGRrM2rPoBeR1Fp6SbLk/jdP1Z/jIZBx7NsHXfv2pHz9Tb3uMyV8CkpJycd7P67Xfa4VXauW+L79Fllr1pL0ySc1nt/XxUi0o4KU6Ews1yCE5OjoCEBUVFSlzmb4AD/MhRaO/Ws/qrS+LcMAuT3NJW4NuZXd8bsxW+Som9HYFoCsrKPyAC/5b/6YThsfI2eSsimsotZOpZTTPIsrEbCxB2zu5M2dO5fg4GB0Oh09evRg165dlY5PT09n2rRp+Pj4oNVqadmyJatXr24gawUCgUAgqBmuvv4Ehndkx/LF5GU1TmEQS6EFS3aRrc2oPUo1TF5PqGYr4Q6rKCowkxRVtcCCoPZIkoTbg5PJ3b271qIj1SHYOZhxYeP4+cTPJOU27hsRTrfcgseTT5Ly+RekL/+1RnOnBnoA8HOQhox1kddkR9++fQGIjKx4HYOLjuZdPDmwMRqznUS+tQ6yA7vx28uiPz28e5BdlM3xNLlXpkplBMBqvZhqqVDKP9MiCfNxothi5XRixamsAOqLqevF9tRaphxs6uT98ssvPPXUU7z66qvs27ePDh06cPPNN5OYmFju+MLCQm688UYiIyNZtmwZJ06c4Ouvv8bPz6+BLRcIBAKBoPr0H38fAAfWr7GtIRVwqTG6pdCOa1C820Hvx+lr/A6DKpUlb++2u15g9oZxyBB0bdoQM/2xen2tH27/MCpJxdNbnq63PeoKt4emYLprNHGvvkrunuoLAXV2ckQpQbyDgpz/4q6pd+WgQYNwdHRkx44dle95cxBZqfmc2Vv+dXdjxCO4GTqjU8nf4e7hAPwV+VfJMUfHliSnbLo8ybczAK29DQBsOVn5zQKl4mIkz2zf3x82dfJmz57NlClTuP/++2nTpg1ffPEFDg4OfPvtt+WO//bbb0lNTeX333+nT58+BAcHM2DAADp06NDAlgsEAoFAUH08Q5rj4uPHsW2bG2VtnuJiDUr+CTtT2Lyam95AEXYrXR1+BuBsROOO/Ng7klKJx5NPYk5LI29/RL3tY9KZGN1yNPsS93E67dpq1uobSZLwfuUV9O3bE/XgFMzp6dWeOy3AkxW+ajLU16Z2q1QqGTRoECdOnCAlJaXCce7+BvxaudiVAEvL7r3Jz8os+R5VK+Wedt8evuw7SJKCoqL0y5OGvAyAIfs8AH8cuFDpHmqF7B6l5xbWldk2wWZOXmFhIXv37uWGG264bIxCwQ033MB///1X7pw//viDXr16MW3aNLy8vGjXrh1vv/025npuyCkQCAQCwbUgSRK3zXyBzMQEdv621NbmlEEf7i7/Yuc1KADc9R2tWxegkvJZ++VhW1vT5HHs1ROFwUDOjvKv3eqKJ7s8iUFt4OH1D9frPnWBpFbj+/ZbYLEQ+8yz1Y5yTvB1A+CvNkayNlZeU1cV7du3B6iyDKptP1/iz2ZyZp99RPPcAoMAOLf/cpS0jVsbAHKLZGVTo6ENeXmRlyf5dJR/rn0egGNxlafNKy/W5KntUXH4CmxmfXJyMmazGS8vr1LHvby8iI+PL3fO2bNnWbZsGWazmdWrV/Pyyy8za9Ys3nzzzQr3KSgoIDMzs9RDIBAIBIKGxj0giI63DGfn70tIvVC//cVqjX1nJ8motCjGLUKvlNUYY3YJR68+kVQqHHr2IHnuPCwFBfW2j4PagV6+vUjMSyQ1P7Xe9qkrNMHB+M35mJytW0n9bkG15gTptQTqNGwO1FIYnXVNkXWNRm4WvnPnzkrHNeso1wIe2VZ5dKux0LxzdwAunDxWcuztvm8DsD9xPwA6fQAAFstFARsHV/nnmb9L5lTmQGsuOndmUZPXcFgsFjw9Pfnqq6/o0qULY8aM4cUXX+SLL76ocM4777yDs7NzySMgIKABLRYIBAKB4DLdbhsFVivfP/2orU0phaRWoHBQkfrzCcyZ9p2iBIDOmbtf7AnAim8T4UKEbe1p4rjdey+YzWSurt+a0ye7PAnA1A1T63WfusI4aBCukx8gcdasaovT3Ovnzv6iQgpDjGRuOH9N0bxLAiyxsRXfVFKqFPQa2ZzYk2nkZNSfk15XKJRK3AODSylsNnNuhrvenV3xctRSo5EzE3Jzz5aebDXzyIDmACRkVvxcVZdq8oSTVzvc3d1RKpUkJJRuWpqQkIC3t3e5c3x8fGjZsiVKpbLkWOvWrYmPj6ewsPz/lJ5//nkyMjJKHtHR0XX3JAQCgUAgqAEOTs74hbXBYjY3qmiepJBw6Cpn1sS9vZPilDwbW3Tt6HwCcPGQ63XS540Fs/30A7M3HLp1wzBoEClffYW1HktoAowBjA8bz9GUo0Rn2cf1nOcTT6Dv1JHYJ5+iuJL6uEvc4WmiyGple083imKyyT9W+6jlpZ55v/zyS6Xj2vT1RaFUcGSrfUTz/Fu3I+uK11KSJJLzkkvq8lxdegGQl3/Fe6TZQADGdPYEqFRh81ILBRHJqyUajYYuXbqwcePGkmMWi4WNGzfSq1evcuf06dOH06dPY7miZuDkyZP4+PiUhKWvRqvV4uTkVOohEAgEAoGtGPGkXBcS8dcqG1tSGtPQZujby3fAixJybWxN3TD0sS4ALE6eA38+ZWNrmjbuj06l8Nw50qpwKK6VyeGTAfj5+M/1uk9dIanV+M2ajdVsJmbadKwVBCUu4afT0Ntk4A+LHGlK+eForfd2dpYbg2dmZlYaEdQ5qgnt7MGxfy9gsQPHxsXbh4zEhFLPqbdvbwCS85LR6XwBicLC5MuTutwHQGCanL66cEdkheurFJdaKNh3jbJN0zWfeuopvv76a77//nuOHTvG1KlTycnJ4f777wfgnnvu4fnnny8ZP3XqVFJTU5kxYwYnT57kzz//5O2332batGm2egoCgUAgENQIR5MLBjd39q9Z2eiUNl3ubAGSfGGZ/ufZqic0ckyeDrQf7I8FNSk7/4ajf9japCaLPjwc012jSXjnXfKP1t4xqQpPB09ua34bPxz9geS85KonNALUXp74zZpFXkQE8W+/XeX4Ud4ubEvPJiNcriUrjK28r1tl3HnnnQBs3bq10nHhA/3JTi1gzReHar1XQ6HRO2AxF5MSE1Vy7NVerwLwy4lfUCi0aLXe5OVdEclrcTMAyiw5Wnm0EvGVSy0U8uy5pQw2dvLGjBnDhx9+yCuvvELHjh2JiIhg7dq1JWIsUVFRxMXFlYwPCAhg3bp17N69m/bt2/P4448zY8YMnnvuOVs9BYFAIBAIaszASXI04scXGld0SaFT4XZvWwCyt8ZiybXjBukX6T48BIBfUj6G36dC3EHbGtSE8XrpJbTNmhH/xpv12jfvsU6PoZAUzNozq972qGsce/bAZdIk0n/+haR58yodO9zDhFYhsamXrLaZOHd/rfe9pLIZERFR6TjPIDnTLfJg43ecvUNbApAef9lH8HH0AWBXnFyXp9P5UFhwRUmYxgF8OkCMrMoZnVpxSvqlmryMPPv+/rO58Mr06dM5f/48BQUF7Ny5kx49epSc27x5MwsWLCg1vlevXuzYsYP8/HzOnDnDCy+8UKpGTyAQCASCxk6rXv0wefmQEhPFtp8X2tqcUujDXHEe3gyA1OWnbGzNtaN1UBPW2wcrCtYmPQZf9oPoymXlBbVDodXiMeNx8vbvJ2vDhnrbx9vRmwmtJ7Dq7CpOpJ6ot33qGq9nnwEg5cuvKLpKk+JKnFRKbnJ35tfkdAx9/cDCNQkiDR06lNTUVLKzK48I3jylHQCpcTm13qshcPHxA2Dnb5dTgyVJdsz2Je4DZPGVgsKr+mT6d4OY3dzXOxigwtRUxUUnz0Fj3/6FzZ08gUAgEAiuR+79cC4BbcLZt+YPctIbVxNyQ0/5rnj+kRRyD9l/Q/F+d7dA56jmTF53Ek3D4IfbRUSvnjAMHIi2dWvSfvypXveZ0XkGepXerqJ5klpN6D9bULq6Ej11KpbcimtfR3u5cDQnn5iecouD5G9rn0bZrp3svP30U+X/JsHt3VDrlOxdG1nrvRoCpUoFQPyZ0jeh7mp5FwAF5gI0Gg8KCq5ypH07Q8opBoXoAIjLrDhdXqdWCHVNgUAgEAgENUel0TBi5gsoFAoWPf8E1kZU5C+pFLjdJ6dtpv58ol5T7xoCjU7FPe/Iwgz7dTOhKFeO6Fnsu+amMSIpFLg9OJncHTvIP3as6gm1RKvUMrzZcPYm7KXA3Pil/y+h9vQk4PN5FEWeJ/bZZyv83A90NeKqVvJbRhYqDz1F8bmYa9niwMHBAYALFy5UqEYPoFIrKco3c3JnAgWNPFU7oE04Lr7+pY7d2UKuP9wSvQWd1oeCgqv6brsEAxCe8hcAB6PTK1xfpVBQbLbv7z3h5AkEAoFAYCP0BiM97hxDdmoKqz9rXBEJfZgrpjtDwWzFnNK4BGJqg1qjROuo4nREBtbRC+SD83qCnTuwjRGnm29G7e9P8pdf1es+t4feTqGlkP8u/Fev+9Q1urAwfGd9SPbfm0iaPbvcMRqFgts9XfgtIQ23h8IByP639i0OHnroIQA2VJFGe/cLctuFdd8cqfVeDUF+dhZpF2JKHWvpItfqzdwyE53Ol+LiTIqLsy4P8Jefm8vO9wGIy6j4e02llEQkTyAQCAQCQe3pNuJOFEolJ3dsozCvcbUuUHs5AmA1N54o47Uw5J7WAOy/0Bn6PwPJJ2Hj/2xsVdNDUqlwve8+stauJWPlynrbp41bG1SSihWnV9TbHvWFcdAgvJ5/npRv5pPx55/ljhnhYeJCQRFHrGYUjmqytsRgqaXio6+vLwC7dlVej+oRaMTRWcOFk+mNOoLfedgdAGSnXu6Xp1FebqemUslCMqVSNlXyeSlP7j24aOf5Ctc3m63kFtp3b03h5AkEAoFAYGMmf/INFrOZ9V/PtbUpTZrg9u54Bhk5uu0C1oEvQrvRsO0jOFe5vLyg5riMG4u2RSgX/u+5enMW1Ao1Y8PGsiFqA/nF9hdtdpk4AeONNxL3wosURkWVOd/d2RGTSsmyhFQ8LkbzMjdU7JhUxdixYwGIj4+vdNzge1tjLrZw/nDVzdtthX+YnE4ec+xwqeP3t5XbsGn1wQDk55cf/Wzu4cjZpIoFZrILi0nNqb3YTWNAOHkCgUAgENgYJ3cPjG4enPh3K6lXpSA1BhK/ONio7+pXF0mS6DemJRmJeez+8xwM/UA+8f1wSI+ufLKgRkhKJR5PPgkWC1nr/qq3fXr69ATgUHLj7+92NZIk4f36/1A4GYl98qkyjdJVConeJgNrkzNQecp1ddn/xNb6sxgaGoqDgwPbtm2rdFxAa7k/34mdlTuDtsTZU263lnohttTxwYGDATiXk44kqUr3ygPoLqetju/ogqNGWaHCpreTDqNOXcdWNyzCyRMIBAKBoBFwz/ufonVwYPHLzzQah0rtoQfAmldMwZkMG1tTN3iFOKEzqNn9ZySZeXp4TJZc58fRUGzfd+4bG8bBg3Hs34/4N9/EklM/svy9fHsBsPTk0npZv75RubgQMG8e+SdOkPDBh2XO3+PnRkx+EVvTsnGbKKcbF56vuJF3pXupVLRt25bTp09TXFxxKqIkSXQfEcLpPYnkZTXOz4SkUODgbOLoPxtLHW/rLkf4PtgzG43Gg/yCuNIT240CoJtDAjmFZs4kld9WwqBVUWTnaerCyRMIBAKBoBGgMxgYMnkq+dlZHNu22dbmAKBwUOP9XHcALHaeunQJSZK46/muAKyedwjcmsO4XyDpOCy5x8bWNT3cH34Yc3JyvdXmaZQaWru2Znf87npZvyHQh4fj+cQM0hYuJHP9+lLnBrgYCdJp+C0xDV0bN1QeetJXna31Xt26dSM/P59jVSifthsg96Lbu6b26aH1jVqnIyOxdJsEtUKOvkUkRaDTepOaelXU0rczKFS0tJ5DkmB/VHr5aysVwskTCAQCgUBQN4T1GYCrXwBrPpuFxdw45P0VerknVebfTSed0clNj8FVS0psNke3XYBWt8DAF+DkGtjxua3Na1LoO3dG1749qd8twFpUP7L848LGkZyXzK+nfq2X9RsC18mTMQwaRNwLL1IUezkFUZIk7vRyYVViOvlWK8b+/hTFZFMQWbvIuqenJ4GBgURERFQ6Tm+QRUoO/B2NuZE6Oz1HjkGSFBQVlK7HHBk6EgCFQkdR4VV1hSoNWIrRHfqJlp5GImLSy11boaDSmj17QDh5AoFAIBA0ItoNuhGAj8bfbmNLZBRaJQoHFQoH+65PuZrxr8m1XP/8clJOjx34f/KJtc/BqfWVzBTUBEmS8PnfaxSeP0/CO+/Uyx63Nb8NCYk3drxRL+s3BJIk4fvuOygMBmKeKl2fd5e3K1lmC3+lZODQ2QuFQU3G6nO13qtjx46cOXOGjIzKHcVL7RTORSTXeq/6xD0wGKvVQnJ06WhjqCkUgDxUIFXg6sRFkF1QzE87ywreACRnFeJu0JR7zl4QTp5AIBAIBI2IbiPuRK3VAXBg/RobWyOjDXHGkl2IuZHW59QGtUbJwAmtMBdZ2PH7GfngUxdT2H4cDWe32M64JoaudWv0HTuS9tNizJm1qyerDKVCyUs9X6LYUsyJ1BN1vn5DoXR2xn/Ox+QfOEjs//1fyfFmDlo6GR1YGJuCpJRwviWEwqgs8k+l1WqfNm3aoFKpOHDgQKXjPAKN+IQ6c2hz4xODAnALCERSKEg8d6bU8eHNhwOQjiuFhYlla5xvfB2AhPQsKiLU00CR6JMnEAgEAoGgLrn/4y8A2PDNXM7srbyvVUNgKTBTnJRH3Fs7seTWT8qdLWjbzw+TlwP71kWRm1kITr7w7DnQu8LicZB00tYmNhm8X5f7EcY8PqNe1r+t+W0AfHPom3pZv6HQt2+Px5NPkrVmLenLlpUcH+FpYlt6NlF5BTh08UTtZ6h1CrVOpyMsLIydO3disVSeiukRYOTCqXTyshvfDR61RotHYAindv1X6rirzhWtUsuhlGNYLIUUXC2+opfVQz/tKTt5aeXUG6uVEkXFjTNNtboIJ08gEAgEgkaG0dWdKXO/BeDPTz6wsTXgMjIUXVs3AApjylejs1cGTWwFwIqP98sHHFzhka2g1sPCOyDlTMWTBdVG17IlhsGDyd2xg9QfFtb9+iodd7a4kw3nN1Bsse8m1m4PTcFxQH/i336HgnNyWuZ4H9kxeeZEDJIk4TQkkMJzGRScTa/VHl26dCEnJ6fKaF7HGwMBOLs/qVb71DdGd3cykxLKHC8wF/BPkpzGWaaNQlu5Zq+9s1zLdza5bO2dSqkgK9++30fCyRMIBAKBoBHi5O5Jx5uHUZSfR2ZSok1tUbnpMY1oBkDyt4ex2nka05X4tnAhKNyN1As5RB9NlQ86+8OkXyEzVnb0igtsamNTwf+zT3Hs3YukOXPIO3S46gk15O6Wd1NsLWblmfpR8mwoJEnC78MPUXt6Ev3II1jy8zGpVfhp1WxJy6LYYkXX2hW1jyOZG8uvKauK4OBgAFasWFHpOKOrjoA2rhz/r3H2zAsK70hGYiLmq1pCdPDoQKZFAqCoOL30JK0BTEF45MsO9OHYsrWJWflFJGTllzluTwgnTyAQCASCRkqPO+4G4OvpD9jYElAaNKCUL5qKE3NtbE3dcuP9bVBplfzxSQQxxy86ej4dYNLvkB4FC0fa1L6mgqRQ4PfxxygMBpI++aTO12/r3hYfRx9m751d52s3NEqjEd8PP6TofBTxb74JwEdhclRtdXJGSTSv4ExGrZQ2JUmiXbt2AOTmVv55btvXl/izGSTHVFzDZitcfP2xmIvLRPNuDbmVLLP8fZWbU45IjWcbNMlyDe6pxLLPy6hT4+YohFcEAoFAIBDUAwZXN/zC5Oa+Rfm2vassqRR4PtoR4Jr6dDVGtA5qxrwoKwn+vfD45RPNB8HQD+H8dtjzrY2sa1oonZxwe2gKOdu3U3C27t9HE1pPIL0gneOpx6se3MjRt2uLz1tvkrFsORkrVtDf1UgbRx2/JciCK7o2bqi8HGodzbvhhhsA+OeffyodF9zBHYBf3mx8vQhdff0B2Lv6j1LHh4UMw4JEsaSnuLgcsR+vtpBwGC8nLScTyqagG7WqerG3IRFOnkAgEAgEjZgBk+Qo3j8/LbCtIYDGz4DCQUXB6XQK4+y7h9TVmDwdCOngTlZKPqd2XxEV6D4FWo+AVU9C5HbbGdiEMN11F2pvb5Lm1H00b3TL0bjp3Ji+cXqdr20LTKNG4TxyJHGv/Y+CU6cY7+vGmuQMTufmIykuRvNOpZN/uuZKmyaTCYAdO3ZUOk6pvOwuNLZUbaOb7IDqHB1LHTfpTIS5hpFp1VFYlFJ2onc7yE6gp5eVgqKyPUkVCglzI3uuNUU4eQKBQCAQNGJ8QmVhkOToSNsachGnm4IASPx0n40tqXtuelCOmv41/0jpE3d8LivyLboT0iIb3rAmhkKjwX36dLLWrSPv8JGqJ9QAR7Uj48LGkZCbwMm0pqGO6v3Ky2j8/YmZ8QRjnXS4qJR8cl6+EaFvJzs5qUtq91zvuOMOAI4dO1bpuDuf6QJA5OFyHCYbIkkSvq3alFu3fDz1OHF5GRQWlFPT7NYCgNv1BzgQUzbdVSlJmO3bxxNOnkAgEAgEjZ0WPXoTc/QwMUfrXqyiphh6+qJw0oB9q4uXi0qtpP/YlgCc3H2F0ITWCFP+BqUGvrkBLGXv/AtqhvNtI9A0a0bSRx/V+doTWk8A4NXtr9b52rZAodfjN2cORbGxZLz5BoPdnNiUmkWBxYKkkHC+NRhLZiHmnJq3NwkPDweoUmXTp7kzAKvnHaz5E6hnTF7epCeWFYa5u+XdFFklMrLKcWDd5c+5h1l2ljPzS792CoVUtr+enSGcPIFAIBAIGjldh98JwC//e87Glsg4DZEFIAovNK12CgDtBvhhcNWyfv7R0hd5riFw81uQkwR/PmU7A5sIkkqFx4wZ5GzfTs7Ouu0FadAYaOXSiricuKoH2wnaZiH4vPkGmX+sZPLZo6QUFrPoghxV03fwBCBrc8375imVSm666SZOnjxJXl5epWNDu8j75GY2rp55Ji8f4k6WrcEc33o8uRaJ4qvVNQFUGnAOJDBfnncmsfR3mUJCpGsKBAKBQCCoX3xbhtFjpKy0aet2CgC6Vi4AFDVBJ0+SJLoPl9tF/P3DVRGAzvdA94dh7wL4/jaw8zv9tsZ4043o2rWrl2jetI7TSMlP4VhK5WmI9oTT8OE43TYC/TMzucmg5esYuXedyqTFOCiAnB1xmGvRtLxdu3ZYrVb2799f6bgB41qhUEic2Wf776ArcfbyBiArNbnU8WbOzShGBdYKIpzO/jgq5NYLUamlFUaVTaAmr1bSMWazmQULFrBx40YSExOxWErnbPz99991YpwtMJvNFBXVPNwtEAgaP0qlEpVKhSRJtjZFIKgxrXr3Z+dvS/jnpwUMn/GsTW1ROmkBKE6x7z5SFdG6tw+xJ9M4/l88A8a3QqVWXj5563uw60s4t0VurTDpNxDfKbVCkiTcHpxM7BNPkvPvvzj27l1na/fy7YVKoWJuxFw+G/JZna1rSyRJwvvFF8ne+DcdNqxlbc9BHMvOo7VBj6GvH1mbokn/4wxu41vXaF0nJyfatm3L7t276dWrV4X/R+oMagLaunJqdwLhA/3r4inVCT6hcuplSnQURlf3kuOSJKFQewDRmM25KJUOpSfqTahOrMaoe4Ldkanc3tGv5JRCkuz+Hk6tnLwZM2awYMEChg0bRrt27ZrMBVN2djYxMTF2n4MrEAgqxsHBAR8fHzQa++5/I7j+cA+QBU9O/PsPYX0GENq1h+2MkUDSqcjaFI1DBw/U3o5Vz7Ezwnr5cGJHPN8/9y+TZ/W7fEKS4LUM2D1fTttcPA7GLASl2nbG2jHGG29E06wZUQ9MpsW/21G5utbJujqVjh4+PdgSs4Wcohwc1U3jPap0dsbnrbcY/PQzvNdzEO+fi+e78BCUjvL7L+9gMtaxViRFza7Ng4KCOHz4MNHR0QQGBlY4rkVXLzZ8d5TMlDyc3PTX9FzqCpOXDxq9noSzpwnu0LnUOQ/ntpAfTUFBEg4OQaUneofDidWYVMUUFpcOWCkkCbOd+wO1cvJ+/vlnlixZwtChQ+vaHpthNpuJiYnBwcEBDw+PJuO4CgQCGavVSmFhIUlJSZw7d44WLVqgUIiMdYH9IEkSD32+gK+m3seKD95g/FuzSpQ3bWGLoY8vWRujyNmXgGloM5vYUZ/4t3LBr5WJ2BPpbP7pBAPHX/Vad5sMagf4fSpsfB1uesM2hto5klKJ30ezOXf7HSS88y5+H7xfZ2vf2+Zetsdu5++ovxnRfESdrWtrjDffhPuGDUgWC2uSM7BarUiShMejHUiad4C8Q8k4dPCo0Zrh4eH8+eefHDt2rFInL+Riz7w/5kQw8fVe1/Q86gpJocAjKITEyLJ9F5VKIwCxaQdocbWT12wgbHmPoT7ZHEorXY9YZLZwJsm+09Fr5eRpNBpCQ0Pr2habUlRUhNVqxcPDA72+cdyZEAgEdYter0etVnP+/HkKCwvR6XS2NkkgqBFGV3cmf/IN8x9/kJ9enMm0+T+jMxhsYovzjUHkHUiyyd4Nxe1PdGLe1E0c+SeWrrcGY3DRlh7QcZwsxLL+ZQjuBy1vso2hdo6uVSsc+/YlZ+tWLIWFKOoo06KXby8CjYG8tfOtJuXkSZKEz9tvMev5V3lq+Bj2JSTTxdsDTYDs0KQuPl5jJ0+n0+Hs7Mx///3HkCFDUKnKdxE0OhUanZKctIIS57Ix4OrrT8LZM2WOd/W/kfQTS9kT/x8t/G4rfdIlGIBwVRRfHS/9PWq2WvE0XvV5tzNqdRt75syZzJkzp0mmNTaWN6tAIKgfRPROYO+YvLwZMFFukL7y43dtbE3TRpIkxr0ip8Vu/qmseh8AvaZBy1tg2f1woXLhCkHFeD3/HObMTNJ//qVO1+3n34+cohzOZZyr03VtjUKjYfiMRwH4Y+U6QH6/OnSWFTALY2sehbqUoffXX39VOm7YtA4UF1mIPppa4z3qC1dffxIjz2C9Siekg1dPAHJzz5edZPQBwKfwPFYrFJsvz3U3aFHauU9Qq6udbdu28eOPP9K8eXNGjBjBnXfeWeohEAgEAoGg/ug64k56jLybqEMRHP3HfsXO7AFXX0da9fDm/KEU0hNyyw5QKGHUfPmC8auBcGJtg9vYFNA2b47xxhtJ/eEHLPl1J+jzROcncFA58Nup3+pszcaCU2AAt+VlsNroSs6OHQC4jGqBwqgm65+YGq/XqlUrFAoFqamVO28+oc64Bxg4uLnme9QX2osZDVcrbF4SW9mTuK/spItOXJfYhQDEpl9O2VQpJIrsXF2zVk6eyWRi5MiRDBgwAHd3d5ydnUs9BLZn8+bNdp1S++OPPzJihH2lVkRGRlaY3mArRowYwfbt221tRoMyf/58nn76aVubIRDUO93vuAuANXNnkx5vm35glrwisv+JpTil8v5a9k634cEArPumgmb0WgPc96fcLH3xGMhJLn+coFLcH36IopgYUr//oc7W1Kl03BF6B0tOLiGzMLPO1m0s3N2tPdFevvz5xXzMGRlISgUO7T3IO5BEcUZBjde78cYbOXPmTKU98yRJunzjI7GcGx82wK9VWwBSY0r3CpQkCbMV/NSW8jMQfTqS69kFKN1GQaW0/xYKtXLyvvvuu0ofgrpn3rx5hIWFodfrCQ4O5vXXX8dsNpecHzhwIIsWLbKhhXXLhAkTWLlypa3NqHNiYmJQKpU89VTpRrqRkZGykIHBgMFgoEWLFnz99dcl52rjPO7du5fk5GT69OlT6vjbb7+NJEkcPHiw1PHXXnsNtVqNwWDAZDIxePBgjh49WqM98/LymDhxIkajkcDAQBYvXlzh2LS0NCZMmIC7uzu+vr588sknpc5nZWXx4IMP4urqislk4p577ik5N3PmTJo3b47RaKR9+/asWrWq5NykSZNYunQpSUlNu1ZIINDo9AydPhOA+TOmYLni/4QGQylfRqQsriCVsYng7OFAWG8fkqOzSamoN6DRC6b+C0jw65QGta+poGvTBsfevUn66CPM2Tl1tu49be8hpyiHN/97s87WbCwMcTcB8MXAW7nwf89htVpx7CmnIeb8V/ObP23atMFqtbJt27ZKx4V28QLg1O6EGu9RH5i8vVGqVKTGXShzTlI6YUUiLqec16PlzehyZMcwNedyj0GVQiqVvmmPXFNxSlJSEtu2bWPbtm3igqoeeeedd3j77bf56quvyMrKYsWKFSxZsoRp06bV+97FxcV2tW5j56effsLZ2Zmff/65lJMOcg+37OxssrKy+Oijj3jkkUc4cuRIrfeaP38+48aNK3P8xx9/xMXFpdybAvfeey/Z2dnExcXh5+fH/fffX6M9X331VZKTk4mNjWXJkiU8+uijnDhxotyxTzzxBBaLhejoaLZt28bHH3/Mhg0bSs4/8MADODs7ExkZSVJSEk8++WTJOaPRyJo1a8jIyGDOnDlMnDiRc+fkeguNRsPQoUOb1E0PgaAiWvcbxIinngdg6+LvG3x/3xd6oPY3oNA3riyG+qDHCFlB9K9vKvledm8Bd3wOZ/6GbR83jGFNDI+Z8k3QtB9/rLM1/Qx++Bn8iEiKqLM1GwuSJNHCQcvRoGbE7t5D+i+/oPZwwLGHNzl74rEW1ezmz6WMvKqygAwuWlp08+L4f3FYGkHES6FQYnTzIOpwRJlzRmNbgjRmTqWdKjvRJQRFTiJeOgsxVyhsKhUKMvPt+1q1Vk5eTk4ODzzwAD4+PvTv35/+/fvj6+vL5MmTyc1tHGHbpkJGRgZvvPEG8+bNo3///qhUKjp06MCiRYv4+uuvOXnyJG+88QZbt27lwQcfxGAw8Pbbb5fMf/3113F1dSU4OJh169aVHE9NTWX8+PF4enrSrFkzvv/+8sXBwIEDefnll+natSuOjo5lmsMnJSVx6623YjKZcHd3L+VIbNmyhS5dumAymRg4cCBnzshKR5eiUV988QV+fn7cd999hIaGsmXLlpK5kZGRODk5kZeXx4IFC7jhhhtKzkVERDBgwABMJhOBgYEsXboUkCNH06dPx9fXF39/f95997IIwapVq2jVqhVGo5Hg4GB+/vnncl/jb7/9lpYtW5ZEhTZv3lzqtXj11Vfp2rUrTk5OjBkzhoKCy+kPb7/9Nl5eXgQHB/PHH39U/o8JLFq0iDfffJP8/Hw2btxY7hhJkhg+fDhubm4cO3aszPm33noLHx8fnJycCA8PrzDatnbtWvr161fq2L59+zh79iwffvghixcvxmIp/y6VXq9n3LhxNXYyFy5cyEsvvYSTkxM9e/bk9ttv56effip37J9//snzzz+PXq+nWbNmTJ48mQULFgBw9OhR9u7dy/vvv4+TkxNqtZpOnTqVzH3ttddo2bIlCoWCQYMG0aZNG/btu5xv379/f9auFXUxguuDlj36ENS+E3tW/kr0kYNVT6hjlEYNllz7vhiqDgYXLb1HhZJ6IYeYE2kVD+w4DtrcDhtehUPLGs7AJoK+bVtUXl4kf/55na77TLdniMuJY3P05jpdtzGwqL18A2LNpMkkfjiLwqgoDH39sGQXkXc4pcbr3XabrEKZmVl5emv7wf5kJucTVYs96oP0hDjOH4ooc9xRY8JDZeVUenlOXjAAnZzSuXBFTV5GXlHZsXZGrZy8p556ii1btrBy5UrS09NJT09nxYoVbNmyhZkzZ9a1jdc1//33H0VFRQwbNqzU8Y4dOxIYGMimTZt4+eWX6devH9988w3Z2dm88MILgOw0abVaEhMTeeGFF3jooYdK5k+aNAlfX1+io6NZvXo1zz//fKn0vcWLF/Pzzz+TkZFRJlVw1qxZhISElERsHnvsMQCio6MZPXo0H3/8MSkpKYwaNYqxY8eWzDObzURERHDmzBm+/vprxowZw5IlS0rOL1myhBEjRpRpYZGRkcFNN93EpEmTSEpKYu/evbRu3RqAp59+mtTUVE6ePMmuXbtYuHBhSeregw8+yLfffktWVhY7duygffv25b7G3t7ebNy4kfT0dB577DHGjh1bypFbsmQJy5cvJyoqisOHD5c4LatXr2bu3Lls3bqViIiIKp28gwcPcvz4ccaOHcvIkSMrjDRZrVb++OMP0tLSCA8PL3Xu+PHjfPHFF+zfv5+MjAyWLl2KazmNY3Nyckp6wV3JokWLGDp0KOPGjSM9Pb2UQ3v1/J9++omOHTsCcgTSZDKV+7j0uqalpREfH1/qdQ4PD6/UUbwyP95qtZaM3b17Ny1atODee+/Fzc2Nnj178u+//5a7RlpaGocPH6ZNmzYlx8LCwsqkowoETZk+YyYCsPTNlxp8b0tuMUWx2Vjs/K53dQjr6Q3AvnXlKPVdyahvwb0V/PYwJJa9WSeoHOOQwVjz8ymKq7ta00EBgwhzDeOxvx9rcurwQXotfU0GvuzQE0t2NmduuhmVmw5tc2cy/46q8fO9dI21e/fuSsd5hzjjGWRk16rGoVwa3KEzxQVl6xA1GneswJx9c8pOuujktdGlEpdxWfDHx1lusWTP75VaOXnLly9n/vz53HrrrTg5OeHk5MTQoUP5+uuvWbas6dy1yis0czg2o14feYWVh9GTk5Nxd3dHqVSWOefl5UVycsXF3Y6OjjzzzDOoVComTpxIVFQU6enpxMfHs3nzZt555x20Wi1hYWGMHz+eX3/9tWTu5MmTCQ0NRafTlWkroVariYuLIzo6Gq1WS+/evQE5DXDkyJH069cPpVLJY489RmRkJJGRkSVzX331VXQ6HXq9njFjxrB8+fKStMUlS5YwZsyYMs9j1apVtGjRggcffBC1Wo2Hhwft2rXDarXy3Xff8eGHH2IwGPD19WXq1Kkl70G1Ws2xY8fIzs7G29u7lBNwJUOHDiUgIAClUsmUKVOQJIlTpy7f7XnwwQcJCgrCZDIxbNgwDhw4AMDSpUuZMmUKLVu2xGQy8dxzz1X4bwGyg3XDDTfg6urK2LFj+e2330pFvs1mMyaTCTc3N1566SUWLFhAq1alm++qVCoKCgo4duwYZrOZsLAwvL29y+yVnp4OyO+BK9f/+eefGTNmDHq9nttuu62Mo7lw4UJMJhPNmjUjPT29JLI2fvz4khs6Vz8uOVPZ2XKditFoLFnPycmp5PjV3HLLLbz11ltkZ2dz6tQp5s+fT06OXIMRGxvLX3/9xaBBg4iPj+eJJ57gtttuK3lel7BYLNx///2MGjWq5D+lSzZkZGSUu69A0BTxCW1FzzvHYLVY2PZz3YlWVAfHi7U51kL7rl+pDnqjhhbdvIg+mkpqXCU1Y0oV3L8GFGqY1xPyxfdRTXCfPh0UCjJWVJ0hU10UkoKH2ss3u/cnNr1WFze5OwGQ+dgMAFK/W4BDV2+Kk/Jq3M/y0s32rVu3Vjm2ZXdvkqKyyEy2vfiSRi8raV5dn+zgEIxWAVCOw2b0BklBB04REZ1eclilkK997Vl8pVZJ9Lm5uXh5eZU57unp2aTSNc8kZTP808oLT6+VVY/1pZ1fxYqkbm5uJCcnYzabyzh6CQkJuLu7VzjXw8OjpCeYg4P8xs/OzubChQvk5+fj4XG5UabZbGbChAklf/v7+1e47jPPPMPLL7/MgAEDcHBw4JlnnmHy5MlERUWxcOHCUtG5wsJCYmNj8fPzQ6FQ4OPjU3Kuffv2uLq6smXLFoKCgjh9+jQ333xzmf1iYmIICQkpczwpKYm8vLxSzpvFYikRGlm2bBmvv/46Tz/9ND179uSjjz4q5Qhc4vfff+f111/n7NmzgCz4kZJyOfXgyve6g4NDibRwXFwcffv2LTkXEBBQ4WtmsVhYvHgxb74pF30PHjwYBwcHfv/9d8aPHw/INXlXOzFXExoayqxZs3jhhRc4efIkI0eOZPbs2Tg5OZUadymnPicnB8NFWeGNGzeSmZnJ8OHDARg7diwTJ05k3rx5JU3BJ02axDfffFOpDRVxaZ+srKwSezIzM0uOX80nn3zCY489RmhoKG5ubkyYMKEkWndJYGjy5Mkltr711lvs3Lmz1Hvk0UcfJSMjg19+Kd1XKSsrSyj9Cq47et01nkN//8XO35bQduANuHj7Nsi+Cie5cXXhhWz0TmUzC5oa/e5uwandCaz67AD3vNW74oGObjBxGfx4N3w/AiZvAFXdNPlu6qhcXXG+cyRJH3+M09Bb0QQG1sm6gwMGo1VqeXPnm/x6269VT7Ajxvm48crpC0zr3I8/700n8aOPCPpBLnPI3Z+IQ0fPGq139913s2TJEvbs2UPXrl0rHNemry87V57l2L9x9Lit2TU9h2slpFNXTu7YRkZSQqnvP4VCvsbRSpBfnI9Opbs8SZJAa0RvzSUr/3KKpkopO3nFFiuqsnEWu6BWTl6vXr149dVX+eGHH0ouDvPy8vjf//5Hr1696tRAW9Lcw8Cqx/pWPfAa96iMXr16oVar+fPPP0typEGuUTt//jwDBw4EatbE3c/PD4PBQFpaWoXzKlvPycmJOXPmMGfOHHbs2MHgwYMZNGgQfn5+TJkypYxKIlxWj7yaSymbQUFB3HHHHWi12jJjAgICylXadHd3R6vVcvbs2XJTFnv06MGff/5JQUEBr7zyClOnTi2TnlhQUMC4ceP49ddfuemmm1Aqlfj4+FQrPO/j40N09GWp3it/v5rNmzcTExPDzJkz+b//+z9AjrYtWrSoxMmrLpMmTWLSpEkkJyczduxYZs+ezWuvvVZqjMFgIDg4mFOnTpXUsi1atIiCggKaNZO/hC0WC5mZmfzxxx/cfffdle75448/8vDDD5d7LigoiCNHjuDi4oK3tzeHDh0qcbQPHz5M27Zty53n6urKj1cU1r/wwgt0794dgHbt2pV5v1z997PPPsvevXv5+++/y7xvTpw4USbVVSBo6igUSu5+9R2+e/IRvp3xENO/W4L24g2++kTtJe+RsuAILne2wLF72eyCpoTeqKHD4AAO/B1N4vlMPIOcKh4c3BcmLIEFw+BND3g1vaQ3l6ByPGfOJGPZci488yzBv5RfU19TlAol/fz6sSFqA3nFeehV+qon2QlGlZJ+Lgb2Zebi/tST5Ebs5/w99+Dz/hKyt6VQnJqPylVX9UIXuZRJtGrVqkqdPLVWSWgXT/asjqTrrcEo1dek6XhN+IfJ1xtpF2JLOXlqtQkAB4WVrbFbuTHoxtITA3rgm5FMkdlKfpEZnVqJ8mKQpNiOI3m1+peYM2cO27dvx9/fnyFDhjBkyBACAgL4999/mTOnnHxXO0WvUdLOz7leH3pN5bcHTCYTL7zwAo8++ij//PMPxcXFHDx4kIkTJ/LAAw+UfAg9PT1LpUVWhp+fH7169eKll14iNzeX4uJi9u3bV225/D///JOzZ89itVpxdnZGkiSUSiXjx49n6dKlbN26FYvFQlZWVpXpu2PHjmX58uUsXry43FRNgGHDhnHy5Em+++47ioqKSEpK4vDhwygUCu69915mzpxJeno6FouFY8eOsWvXLgoLC/npp5/IzMwsaQtQXsprQUEBhYWFeHrKd7jmzJlTbaXY0aNH880333Dq1CkyMjJ4//33Kxy7aNEiRo0axeHDh4mIiCAiIoJ169axfv16EhMTq7UfyM7L5s2bKSwsxMHBAa1WW+7zAjkd8pIEcm5uLr/99hs//fRTyf4HDx7kkUceqZYK5YQJE8jOzi73cWXN3cSJE3nzzTfJyspi165drFixokIn9vTp06SmplJcXMzq1av54YcfShQ0Bw4ciNVq5fvvv8dsNrNs2TLi4uLo0aMHAG+++SarVq1i7dq1pdJDL/HPP/+UGxUWCJo6rr7+3PDgowB8dv/dmBtAyVjlokMbagIg7ffT9b5fY6DzLUEAbPy+GvV2wX3B7+JFckTdKUY2dVQuLmiaNaMwOhprUd2JYEztOBWArw5+VWdrNhaeDvYmx2xhT14Rfu+/D8XFxD0zFixWkr44UKO1lEplScZXYWFhpWOD2roBcGJXfO0MryOcPORruZM7SiuDarTy89AqIDmvnDInUyBe6fLrc6kuT30xXdOe2yjUyslr164dp06d4p133qFjx4507NiRd999l1OnTlV4115Qe1566SWee+65EvXMESNGMHr0aL744ouSMY899hgLFizAZDKVUpisiB9//JGYmBiaNWuGp6cnTzzxRKWNL6/k5MmTDBo0CKPRyLBhw/j4448JCgoiJCSEn3/+mWeeeQZXV1fCwsJYsWJFpWu1atUKPz8/YmNjS6lpXomzszNr165l/vz5uLu707Vr1xJZ/o8++ghnZ2fCw8NxdXXlnnvuIS1NVj37/vvvCQoKwsXFhfXr1/PZZ5+VWdvJyYkPPviAm2++GW9vb1JSUqrdRH7YsGE8/PDD9OnTh/bt25ekQV5Nfn4+y5cvZ/r06Xh7e5c8Bg4cSJcuXSpU/SyPgoICnnnmGdzc3AgMDMTZ2blUa4ErmTx5ckmfut9//x0PDw9Gjx5dyobHH3+cdevWlUpPvRYuqbn6+PgwatQoPvvss5IbEVu3bi2Vurlr1y7atGmDs7Mzr7/+OsuXLy9JjVWr1axYsYLPPvsMZ2dn3nnnHX7//XdMJhMAL7/8MmfOnCEoKKikt+ClqGBRURF//vknkyZNqpPnJBDYGx1uHErXEXcCcGjjuipG1w0eD4aj8tSDxVpjyXZ7xMFJQ8cbA0m9kENWan7VE6ZshNAbYdM7UGT72iV7weeN1zGnppL44Yd1tmZLl5bc0+YeFh5dSKG5cufF3ujm7Ii/Ts3iuFQ0QUH4vPMOmAtR6IswZxZiKajZZ/Ouu+4CKFFKr4jmnT3xCDRyLsK27dQUF296H9myodRxtcoEQIjOgd3x5YjJaBxRF6YDVs4myToCeRe/xwqL7dfJk6z2LBtTCzIzM3F2diYjI6NUHVN+fj7nzp0jJCSkJAVVILB3RowYwfPPP18ijnM9MH/+fI4dO8aHFVwUiM+64Hph1pjhNO/akzueaRjFzdyIRFJ/PoHv671RVJGl0hTISs3nhxf+pUU3L26aXI0b3ClnYG53GPQC9BNK5NUl6sEp5B89Sovt22pUmlIZJ1JPMHrlaF7v/TojW4yskzUbC2+ducC3sckc6dMOnVLBmeHDKYrLxHDjWzgPC8HYr2LNhauxWq3MmzcPd3f3CrOtLnF02wU2/XicSW/0wsnddmmwv777Guf272HmL6tKjpnN+Wze0pZfUjX8l6Pi0L2HSk868DP89jA98z/l6bsGM7qLP5tOJHL/d7vZ8fwQvJ0b17VCRb7M1VQ7kvfHH3+U9Ev7448/Kn0IBILGwcqVK68rBw/kCGZFDp5AcD3Rqnd/zuzZQWZS9VPC64KiylQnmxBGVx1qrZJTuxMorkIpGwC35tBtCmz9CLJtG/GwJzxmPI45NZXkufPqbM2WLi3xdPBkwZEFdbZmY+Eub1dyzBY2pco97gLmzsWak4S1OI6MP89hrUGNmSRJdOrUiZMnT5ZqLVUeLbp7odWrOPxP7DXZf614N5dbR12psKlUyk7aTb4dgHLaIri3BKCZOpVDMenyHOmS8Ir9RvKq7eTdcccdJWlwd9xxR4WPkSOb1h0RgUAgEAjskS7Dbgfg6+kPNMh+ah+5ZUvyN4eqGNl0GPqo3Bd01dxq9uUc8CwoFLD5nXq0qmmhDw9H164dyeWUXNQWSZKY3nE6ZzPOsilqU52t2xho4aClmV7LhhTZydMEBeHz1pvk7ZY1EvJPptVovTZt2mA2m6vUbVBrlIT19GH/X1EU2zBl+1IbhZSYqFLHFQodDheFdhJzr7rx5REGQAt1EmeT5ZtUyos1eXbs41XfybNYLCXiFBaLpcKH2dz0c/EFAoFAIGjs+IS2wuQtt635+dVn630/tZcjmhBnUEh23UC4Jvi3cgEg9kQaKRfK7wlaCgdX6P8M7F0ASSfq17gmhGM/Wem84IoettfK8OZyHf2z/zyL2dJ0rl0lSeJWD2fWJGeQf1E0xDRqFEpjLtbifDL+rNlraDKZ8Pf3Z/v27VWObdtfVrRcP796Qn71QUgnWeQo5tjhUsednTvhopK/l86kX1VjqHEAR09aaFNLnDvFxUie2Y6/y+pM57Sq/l4CgUAgEAgalns++Ayd0YnY40c5fzCi3vdzvjEQa4GZwvOZ9b5XY2HSm3LrqJ9f34W5OiIN3R8CZ39Y/0o9W9Z0cH/kEVReXkRPm15na6oVahbeupB8cz5fH/q6ztZtDIz3cSW1yMzKpPSSYwHz5mFOj6I4qZDi5GrckLgCPz8/0tLSSsq2KsLF2xH/MBcSz2disZEqpYuP7Ghevb9eF4CiOAWtUsvp9HJUgE0BtNZnEn9RXfNSnzx7boZeKyfvvffeK9V8+K677sLV1RU/Pz8OHKiZRKtAIBAIBIL6Qa3R8tC871BptWz4Zi75OTW7uKspmmBnlCYtufsbtg7Qlji56+l5h9x/9NcP9lY9QaWFG16Dk2vh77fq17gmgkKrRdMshKKoKCy5uXW2bkfPjuhVetafX19nazYGmjvoCHPU8WvC5dRMTWAgHlM6A5D42fIarde9e3fMZjPLl1c9r/edoWSnFRB5sG5Uu2uKQqHE5O1DVkrp7yCdzo/s7KOEmkI5kVZOFN3ZH09rUkkLhZJI3vXm5H3xxRcEBAQAsH79ejZs2MDatWu59dZbeeaZZ+rUQIFAIBAIBLVHrdFy7wdzSU+IY/FLT9frXpJCwqGDBzk742ss127PdLklmBbdvEg8n0XM8dSqJ7QdCR3GwT/vw/l/69/AJoDnTPm9G//6G3W67v3t7udk2knS89PrdF1bc6eXC1vTssi9IqLl2KMT1sJ4ii5I5B2sZh0p4OYm98E7fvx4lWM9Ao24BxjYtqzuUmtripO7J6kXSgvAFBfL2QWtTKGcSivHNucATIXxZOQVkV9kLknbvO6cvPj4+BInb9WqVdx9993cdNNNPPvss+zeXU7/CYFAIBAIBDbD5OWNm38gqRdi2PnbknrdS+0rC7BcePVfLLl118S6sXPDfa0xuGhZ8XEEhflVNKGXJLh9Hni3h++GQl56g9hoz+jbtcUwYAAZv/9OdjXqw6rL7c1lgaKmprR5o5sTxVb4N7109N50RxeUriHEv/8F1hqoigwbNgyQ5furollHD7JS8slMsU1PSL2TM6mx0aWOubjKSuN6qYBjqcewWK967s4BOObFIWEhKasAy8VavNzCKj7LjZhaOXkuLi5ER8sv3tq1a0uaWFutViG8IhAIBAJBI+Sul+XUwG0//0BRYeVy6NeCvr0H2hYmAMy59nuBVFMUSgU3PiD3y9v8YzVEVRQKGP6RnL657oV6tq5p4P/5PDRBQSTOmlVna/oafBnoP5DV51ZTbGk679cwRx1+WjV/JWeUOm7oE4ykBawhpMyfX+312rVrB8Ds2bOrHNthSABqnZIjWy/UyOa6wi+sDRmJCaXaKGjUrgC0d5H7BMZmX9XqwRSAwlKIOxkkZObjcLHX56WInj1SKyfvzjvvZPz48dx4442kpKRw6623ArB//35CQ0Pr1ECB/XDrrbeWqtVs7GzevLnU+9VgMHDhQu2+kGbNmsVbb11ftRVpaWm0adOG/Px8W5siEAiqgaPJhYnvzgHguycfqbd9JEnCaZCc7VNsozv5tsK3hYmWPbyq3zvPvyvc+j5E/Agn/6p/A+0cSaHAffo0Co4eI+Wbb+ps3cnhk4nLiWtStXmSJHGXtyvLEtJKpWxKSgUOHb1RB/Qkae5X1VYs1eur3+Bco1MR1suHY9svYC5qeAEWF29ZfOXKHqFarRcAzQ2ys3cy9WTpSaZAAPylZOIz81FdaqFwvalrfvTRR0yfPp02bdqwfv16DAYDAHFxcTz66KN1aqAA/vnnH3r27ImzszNubm4MHjyYc+fOAfDaa6/x4IMP2thCmTVr1jBmzBhbm1FrsrOz8fX1rfG8goIC5syZw7Rp00od//fff5EkiU8++aTU8c2bN6NQKDAYDBiNRsLDw1mxYkWN93333Xfx8PDA1dWVZ599tkLJcqvVymuvvUZAQAAmk4kpU6ZQWFhYcv6hhx7Cx8cHJycnwsPDWblyZcm5/Px8HnvsMby9vXF3d+eFFy7fbXZxceGmm27i66+bliqZQNCU8QppjtbRkazkJFbOrr9ebUoXuflwwZn0etujsdKquzcACeeqqTDa+R5oeSv8dBdk2LaRtD3gNHw42pYtSfxwVo3SDSsj3D0cCYl5EXXXcL0xMNrbhVyzpUw0z3jxJozjwBeJnfk01uLqRTAv9cJOTa267jR8gB95WUWc3tfwIkwGF9mRS42LKTmm0XgAIOVHolPqWBe57qpJ8ufWV5VBUlZBifBKsfk6c/LUajVPP/00c+bMoVOnTiXHn3zyyUbjcDQVMjIyuP3223n22WdJS0vj/PnzPPbYYyiVymrNL67mB1dQe1asWEHXrl0xmUylji9atAgXFxcWLVpUZk6zZs3Izs4mIyODqVOnMnbs2Gp9aV5i9erVzJ07lx07dnD06FHWrFnDt99+W+7YBQsWsHTpUnbs2EF0dDTx8fG8/vrrJeefeuopIiMjyczM5Ntvv2XixImkpMiqWO+88w6HDh3i2LFjHD16lA0bNvDNFXdPx40bV+pvgUDQ+JnymfxdcXLndg5v3lAve6hcdCgcVGT/E0thdfrHNSECWrvi4uPI/vVRVQ8GuT5v+GxQ6WHZ/WAW/29XhiRJuN5/PwAJb9ZNBo1SoWRUy1FEZkY2qR6PoRdVNtde5eSpTPJNGIXOjYKTp0hdsKBa67Vu3RpJkqqlpO/i7YhfKxcOb2n4GxfOnrLDFnXosp2SJLs8SqWefHM+ayLXlJ7k6A5Ad20U8Zn5l4VX7Pj9UG0n748//ijpj/HHH39U+hDUHSdPnkSr1XLnnXeWRH9GjhxJYGAgmzdv5u233+b777/HYDCUpM1KksRnn31GSEgIgwYNAmDu3Lm0aNECd3d37r33XnJycgA55e6WW27B3d0dDw8PHnroIQoK5FqNS+mMr732Gq6uroSEhPDff//x5Zdf4uvri5+fH6tXry6xdeDAgSUOzWuvvcaECRO46667MBqN9OjRoyT6CLBy5UpCQ0NxdXXlf//7H8HBwWzbtq3c10CSJObOnUtwcDAmk4kvv/ySf//9lzZt2uDi4sIbb1xW2jKbzbz66qsEBQXh5eXFzJkzSxxds9nMjBkzcHNzo1WrVuzYsaPMPjEx8l2fVatWER4ejtFopEWLFixdurTCf6O1a9fSr1+/UseKiopYsmQJn3zyCfv27ePkyZPlzlUoFNx3333k5+dz9uzZCve4moULF/Lwww/TvHlzvL29mTlzJj/88EO5Y//8808efvhh/Pz8MBqNPPfccyy44gs9LCwMrVZb8hoUFhYSGxtbMvepp57CxcUFT09PZsyYUWpu165dOX36NHFxcdW2XSAQ2BatgyNT5sqO3rrPP663fZROGgDSV5ypYmTTQlJIdL01iPOHU0isbr9AJ1+YsASid8JfL9WvgU0A08g7UAcFkv7775irIQRSHcLdwwE4lnqsTtZrLNzq7sz6lEyKrlKJdH9ArrEzTZxJ0qefUXD2XHnTS6HRaAgICKjwmuZqwgf6EX82g6TorJobfg2odbITm3CudD88ozGcwsIUQk3llJZJEqgdcFYVcyA6vSSSV0fBYptQbSfvjjvuIC0treT3ih6XQrlNgsJcuBBRv4/Cyvu9tGzZksLCQh588EHWr19fStVo4MCBvPDCC9x7771kZ2ezZs3luxLr16/nwIED/PXXXyxdupQvvviCDRs2EB0dTVFREa+++ioAFouFadOmERsby8GDB9mzZw+ff/55yTqRkZEYjUYSExO57777GDNmDCdOnCAyMpK33nqLqVOnVmj7b7/9xqOPPkpaWhqtWrXitddeAyAxMZHx48fz2WefER8fT35+folTURFbt27l6NGj/PbbbzzxxBPMmjWLbdu28d9///H222+XOEizZ89m69at7NmzhxMnTrBv3z6++OILAL788ks2bdrEkSNH2LRpE4sXL65wP6PRyLJly8jIyGDOnDncf//9xMfHlzv20KFDtGjRotSxNWvWoFQqGTduHAMGDCg3mgey4/ndd9/h6OhIaGgoUVFRmEymCh9RUfKd4aNHj9K+ffuSdcLDwzly5EiFz+fKO5NWq5XY2FgyMi7f2Xv00UfR6/V069aNwYMHEx4eXuHcK/dRKpWEhoZysAZSzAKBwPY4uXvSd+w9AESs+7Ne9vB4qD2aACOF5zOx2rEMeW0I7eqFs6eePasjqz8ppD/4d4edn0Oc6DlcFQHz5mHNzSV6ykN1st4twbegV+l5cduLdbJeY2GQq5Ecs4Xt6aUdrRJxpOyWqL29iX16JtYqmp0D9OzZk7i4OBISEqocG9LeHYOrlkObYqocWx/EHD1c6m+lUk9GZgRDAoegVqjLKmz6daG1+QSJWQXXVyTPYrHg6elZ8ntFjyalrpl8Er4aUL+P5Mrvhjg7O/PPP/9QUFDApEmT8PDwYOLEiWRlVX5X5LnnnsPJyQm9Xs/8+fN5/vnnCQoKQq/X88ILL7Bs2TJA7n0yYsQItFotPj4+PPzww6UiagaDgaeeegqVSsXdd99NdHQ0L730EhqNhjFjxhAVFUV6enq5NgwZMoRBgwahUqkYO3ZsSXh/9erVdOvWjVtuuQWNRsMrr7yCJFWuXvTss8/i4ODAoEGDcHJyYsKECbi6uhIWFkb79u1LnIz58+fz5ptv4uHhgclkYubMmSXPdenSpTz11FN4e3vj6+vLY489VuF+AwYMoFWrVigUCoYOHUp4eDh79uwpd2x6enpJXeolFi1axKhRo1AqlYwdO5Yff/yx1Plz585hMpnw9PTk+++/Z/ny5ZhMJgIDA0lPT6/wERgoFwZnZ2fj5ORUsp6TkxPZ2eWnRN1yyy188cUXnD9/nvT0dN55R67DuRTNBZg3bx7Z2dls2LCBm266qeTf45ZbbmHWrFkkJycTFxfHnDlzSs0D2SG+0mEUCAT2QbfbRgGw8dvPqxhZOxQOalDK3yXZ/9pGZc9WKBQS4QP9OXcgmazUGohT3bMCXILhx7tF2mYVaJs3R+XtTd6BA5jr4P8gB7UDtzW/jdPppzmacrQOLGwcdHGWW5q8eaZ0xo0kSTjdIF9TeL/9AQVHj5E0d26V67Vs2RIHBwf2799f5ViFUoFfCxeO/RtHQZ7t388KSUNRURotXVpSZCkiNuuqAIMkoVaAUpJKhFfMdhzKU9nagEaNe0t4aEv971EF7dq1Y+HChQDs3buXu+66i7feeot33323wjn+/v4lv0dFRfHwww+XEsW5lHqblZXFtGnT+Pvvv8nMzMRsNtO9e/fL5rm7l1zw6/V6lEolrq6uJX+D7HBcXY8G4OXlVfK7g4NDiRMSHx9fyj69Xl/SaLMiLt1guDT+6r8vrR0VFcWtt95aYrPVasXPzw+QhYEu9XcESv1+Ndu2beP//u//OHbsGBaLhZycnJI6tatxdnYu5WBlZmaycuVK1q5dC8CoUaOYNm0a//77L717y31aQkJCOH36dLnrVQeDwVAqqpuZmVnG0bzEAw88QHR0NAMGDKC4uJiZM2eyfv36Uv8+IEflhgwZwscff0yLFi0YOnQoL774Iunp6XTs2BGNRsOUKVPKvA5ZWVk4OzvX+rkIBALboFAq6TV6HP8tW8yxrZto3W9Qne/h8WA4sS9tJ2dXPMa+fnW+fmOmeSdPti05xZbFJxg+rUP1JmkcYOiH8ONo+GYwPPxP/Rpp5wR++y1nhw4l9ccf8agD4b9HOjzCLyd+YcamGawf3TSUNpWSxC3uTkRk5mG2WlFecVPdsbs3mRuiKIpzxHDDEFK++BLj4MHor8gUuhqVSkWHDh04cOAAN9xwAypV5a5EaFdPTuyM58DGaLoPD6mz51UV3qEtiT99EqvFgqSQY1pmSy5gxc8gfxftTdxLgNMV14IBPfC48AOJWQUoLjp5qTn22+uzVsIrjz/+eBnFQIDPPvuMJ5544lptajxoHMC3Y/0+NA41MqlLly7ceeedHD4sh6ArioBdedzPz4/vv/++VEToUjRm9uzZJCUlERERQWZmJrNnz673omNvb+9S6Zn5+fkVOlA1xc/Pj02bNpU8z4yMDI4ele/I+fj4lPR3BEr9fjWTJk3i3nvvJT4+nvT0dLp27Vrh6xIeHs6pKySIly1bRn5+PnfffTfe3t60adMGi8VSYcrmlURFRWEwGCp8XErXbNOmDYcOHSqZd/jwYdq2bVvumgqFgv/9739ERkYSExND27Zt6dy5c4XiPcXFxSUOqF6v57PPPiMmJoazZ8/i5uZW6iaA2WzmzJkzpdI7BQKB/dDt9tEArP5sFsXVSNWqKZJKvswoTszF0gju5DckBhctAW1ciT6WWrP/V1vcCG3vlFM293xXfwY2AbTNQjDddRfpvyzBWgeZZO56d4YEDiE5N5mk3KQ6sLBx8HigF/GFRWxKLZ0FpnTSogk0kn8qDb+LvQcj7x5TpWppp06dyM3NrVZtXnC4LGiye1XVNX91SUjHrgCkxV/OInB17UdhYTJhrmEA/Hbqt9KTjN44FqaQmVeA+WKK+aV+efZIrZy85cuX06dPnzLHe/fuXZIaJ6gbjh8/zkcffVTSv+3kyZOsXLmy5ELb09OT8+fPV/ofyAMPPMDbb7/NmTNy8XtcXFxJlCkrKwsHBwecnZ05f/488+bVv3zwrbfeyq5du/jrr78oKirijTfeqDPH8oEHHuCll14iLi4Oq9VKZGQkW7bI0djRo0fz0UcfkZCQQFxcHJ999lmF62RlZeHm5oZarWb58uXs3bu3wrG33HJLqRTXRYsW8cQTT3DgwAEiIiKIiIjgu+++Y8mSJSUR1IoIDAwkOzu7wseldM2JEyfy5ZdfcvbsWRISEpg9ezb33HNPuWsmJydz9uzZknq6mTNnltRkZmRk8NNPP5GdnU1xcTFLly5l06ZN9O/fH4CYmBji4uKwWCwl9Y8vvni5XmHv3r2EhITUqvWEQCCwPWqNloH3yKrYqz6uODvkWjDd1hyAtN+q14+rKdGmjy+WYitn9tXQYRg1H9qNglVPQELF9dYCMN19F8UJCaQvX14n673U8yXMVjNT/ppSJ+s1Bjo5OdDKUccrp8rqHzh09qQ4IRdroYTfxx8DkLrg+0rX8/T0xM/Pr9JroyvpNVL+DshswL6ZrfsNBCDm2OXPjyTJDpuE7MQWWa66JjP6oLAW404m6blyqymzHdcT18rJS0lJKTc9y8nJieTk5Gs2SnAZo9HIv//+S5cuXXB0dOSGG25g2LBhPPfcc4DsuGRnZ+Pi4sLw4cPLXWPcuHFMnjyZYcOG4eTkxIABA0qiWzNmzCAuLg4XFxdGjRrVIMI5Xl5eLFq0iKlTp+Ll5YVGo8HLy6tE4fFaeOaZZ+jVqxd9+vTB2dmZESNGlETsHn74Yfr370/r1q0ZOHAgY8eOrXCdTz/9lMcffxwXFxfWrVvHgAEDKhx7++23s2vXLjIyMoiJiWHr1q08/vjjeHt7lzzGjRuHTqcrJY5zLQwbNoypU6fSvXt3wsLCuPnmm3nggQdKzhsMBrZu3QpAUlISN910E46Ojtx+++3MnDmzlBLr119/jb+/P25ubrz77rv89NNPdOzYEYBTp07Ro0cPDAYDDz30EHPnzi0VtVu8eDFTpjSd/wgFguuRLsPuwMHZxJk9O7FY6r6u3qGTnF6fdzAZa7H91rfUhtAunngGGVn39WEsNblYVChgxBxw8oPPe0Nu9VvsXG/o2rVD7etLyldfY8mvQf1jBbjr3bkj9A7OZJzhSHLTcLAlSeJGNyei8wtJLyodUde3lSNtWZujcbrlZlzGjyPx/ffJO1z5c+/UqRNnzpypViZW+EB/JAl2/lF9FfFrxdlTLklJT7hci6jT+gBQVJQOwKHkQ1dNkkuJfKQUsvIvKrPbsZMnWWsRQmnXrh2PPPII06dPL3X8008/5fPPPy9xIBojmZmZODs7k5GRUUq4Ij8/n3PnzhESEoLuovSqoGHIycnBZDJx/vx5u40IffjhhxQWFpZqFt7USU9Pp0+fPuzdu9euPjPisy4QlOX0np2s+EBuR/PY90vR6PR1un7OvgTSlpzE780+JSmc1wsHNkazbekpAtu4MuLxjjWbfHojLLpT/v01IXBVEQVnz3J26DBc770Xr+efu+b18ovz6fZjNya3m8wTXZ64dgMbAYkFRXT+7wj/C/Vjsr9HqXNJ3xyiMCoT3//1xpqby4kucqpj2LGjFZYF5eTk8MEHH9C3b19uuOGGKvef+8jfAEydN6ik3q2+mTVmOC269+a2mfK1WVraTvbtH0+3rr/z5Ym1rD23lo13b7w8ISseZrXi8cJp3HD3dB7/eT8f3tWB0V38K9jBNlTky1xNrb5pn3rqKZ599lleffVVtmzZwpYtW3jllVd47rnnePLJJ2tttOD6Yd26dWRlZZGbm8v//d//0alTJ7t18ACefvrp68rBAzCZTBw5ckQ4SgJBEyC0aw+C2ncC4MBfq6sYfQ3Y703xWtNhSAA6g5qoo6nEnkyr2eTQITBstvz7to/q3rgmgrZZMww3DCH1++/rJJqnU+no7dub+Yfnk1lYN334bI2nVs3N7s4supBSpkTG0MsXa6GFzHWRKBwdMd19NwCZK1dWuJ6joyN+fn5ERERUa//Rz8mOY9SRutFgqC6ndv1b8rteL4usFBbJvfIS8xIpMBdcHuwgRzUdpXyKLmY12LO6Zq2cvAceeIBZs2Yxf/58Bg0axKBBg1i0aBGff/65SN0SVIvNmzcTFBSEj48PR48erZYoiUAgEAjqj9EvvkHzrj3558fvSIqKrNO1L0UDYl/eTkHk9ReRGv9qD7SOKn6fvZ+cjIKqJ1xJ14up+BteA7P9Kv3VN54zZwKQ8s38Ollvekc5W+2bQ9/UyXqNgXE+bhzLyWdPZukezbo2smp69k65H7DP6//DePPNXHj2/yg8f77C9Zo3b052dna1UjY9g4wA/Dm34frqhg++CY/gZiV/q9Wyknt29gn8jXJ0Librih5+ShXoXWihTCAtpwhJgmI7Ttesdc7E1KlTiYmJISEhgczMTM6ePVuh8INAcDXvvPMOqampZGRk8Pfff9OyZdWtJAQCgUBQv3S/Xe6d98Mz06sYWTN0Ya7o2sgXWElfHLzuavP0Rg23PiTXM//06o6aTZYkuHeV/PtPon9eRWhDQtB37EjqDz9gKaihI10O4R7h9Pfvzw9HfqgD6xoHfU1yq6UtV6lsSpKEoZ8f1rxiLLnyjQTvV18B4MzNt1S4XufOnQE4ceJElXtLkoTvxQbsOenX/u9THVx8/EiKvFwHqFTK2g8S0MxZdv7OZlxVJygp8FRmciwuC6sVkrMKG8TW+qDWTl5xcTEbNmzg119/LQn7XrhwocKGzAKBQCAQCBo3vi1b0/HmYQBsX1J3GRYKvQr3e9qgvyinnvDJfgpjs7Ha8V3ymuLXyoWwnt4U5pvZ/1dUzSaH9JPTNs/8LffQq+dWR/aKzxuvY8nMrDTNsCYMCRyC2WomLjuu6sF2gE6p4G5vFz6MjMdy1XvIsYssVJK5RY5sqVxdcb33XgBSf/qp3PVMJhOtWrXiyJHqCdQMnSrf6PhzXsNE87SOciP43MzL2QNqtRtZ2cdw1bliUBs4n3lVpNI7HEcKyCmQb6Zo1fZbQ1wry8+fP094eDi3334706ZNIylJlgZ+7733ePrpp+vUQIFAIBAIBA3HoHsfAmDH8p/rvHee65hWgNw3L/HT/RScu75SNwdNkvtzHfv3Qs1bB3WbDLd9Bmc3wWpxrVUe2hYtcOja9f/ZO+/4Gs/2gX+fs7LOyk6ECBJiRNWmVlF7711Fh1E13vYtbVEtnW+Hql8XVWLWrFmtVlFKjdjEipHIIPNknZzx++PhcGSdkEjC8/18no/kfu5xPcc5J/d1X4sbb7+DxfjwFpgWAS0AeOm3lx56rrLCAD/RNXNtnH18qNJPVIgMf911X/R5878AxM1+D3NK3p/VkJAQoqOjycwsvDyCk6sSnbcLyfEZhfYtDjz8RZfMtJt3S5gIgpzs7HgEQSBIG8TllPvq92kqECjEkZFjRuOk4BHliCkRHkjJe+2112jYsCFJSUm4uNzNwNW7d2927txZwEgJCQkJCQmJsoxMLqfn6+8A8PN7bxXSu2gIChkBc1rg3l900bcai79kQ1lGJpfR7dWnSIrN4Pif1wsfcD/1h4NPbfj3B6l+Xj54jBStTze/yr8WrqP4uIrlP6JSo7BYHw8X4xbuGhpoXVl+I3ccnaZ1RRDAfNtFURAEglatBCB68pQ857uTNO/33393aP1mvauRk2Xm8rGSLzbvHVQFgMToa7Y2lcoLuUx02/Rx9SEiPuK+UVY8ZQYuxhuQyQTM5fi//YGUvD179vD222+jUqns2oOCgoiOzl1oUUJCQkJCQqL8UK1BY5zd1MScO82FQweKdW5BLuBc3R0AS8aTF18WWMsDF62KvavPY3mQHeTQn8V/v2khuW3mgaZ9e3S9e5O8di1W88MfInz57JfA45WApY+vO4dSMki5r2aeumUAAJmn7yqALk89hc9/ppK+bx/J69bnmuuOkudoYfQqT4ku2w90yFFEnFzdUChVXDx80NamdqtOmkEs9ebl4sWN9Ptccb1r4GTOwEUlRy4Tcrm1liceSMmzWCyY8/jgXL9+HY1G89BCSZQ8arWamJiYQvvNmjWLMWPG5Hs/OjqaevXqYSnHKWYfhNatW3PixInCO0pISEiUQwRBYORn/wdgq59XrPPfrpVn+PvJOxgWBIHmfaoBD1gcWhcAPReA1QJrRxezdI8H7kOGYE5MJPHHHx96rmcrPYvOScfCEwsfG2vec55aTFYrmxPsXTDlahXKihqSf7lo1+4xciQAN6ZPL1BxdmQvKJPLqNe+EgnX0sh5BJZ8lasrhqRE2+9yhautGHqAJoAcS459GQU3b1ysGUTFJyMThHJdDP2BlLwOHTrwxRdf2H4XBAGDwcDMmTPp0qVLcckmcZvdu3fTtGlTdDodnp6etG3blsuXLxc+sAAMBkOx1KX78MMPGTt2LDKZ/VupRo0atqxL9xIUFISrqytqtRp/f39ee+01TKaineT++++/1K1bF1dXV1q3bs2VAtL77tmzhwYNGqDRaGjcuHGeipnJZCIsLIzg4GCH15k8eTKzZs0qktwSEhIS5Qk3vTtPd+4OwOp3pxXr3DIXBYKznJyYdCxPmMsmQI3GfgAc+fUqppwHeP6nh0KzCXByLRz8vpilK/+4hNXBKSSYpBUrix77eB+CIDC7+WwyTBnsvr67mCQsXQJdnKjorOLba7ldJmVKGZit5MSl29oEhYLKy8RETLe++y7XmNGjxcOGyMhIh9av3SqA7HTTI3HZVLt7En32rmuzq2tVrFYTVqsZbxexKPy5xHuyg7qIMYtesnTkMp48Je/TTz/l77//platWmRlZTFkyBCbq+ZHH31U3DI+0aSkpNCzZ0/eeOMNkpKSuHLlCq+++ipyuby0RSM7O5uVK1fSv39/u/aDBw8SExPDyZMnOXPmTK5xO3bswGAwsHv3blavXs333zv+Byo7O5s+ffowceJEEhMTadGiBcOGDcuzb2JiIr169eLtt98mOTmZ8ePH07NnT3LuSyQwf/58dDpdkdbp0qULu3fvJj4+3mHZJSQkJMobLQYOB+Da6RNE/rO3WOfWPisWJrbmPB7WkaIgyATaPV8TgA2fHX0wRaT9u1CpiZiE5fDi4hXwMcD7tdfIiY7G8OefDz1Xy4CWAPx+xbG4s/JAc72ayIwsjPdZ3zyGiu/LjPsUMNcGDfB86SUSvppP1n0lEypWrIiTkxPHjzuWNVPv4wrAbwtPP6j4DpOecl+CGYUWAJMpneYVmgMQn3HPXs5NVPy8rbeeTHfNSpUqcezYMd566y0mT57M008/zYcffsjRo0fx8fEpbhmfaCIjI3FycqJPnz7IZDLUajW9e/cmMDAQgKysLMaPH4+fnx+BgYHMnj3bzlw+b948QkJCbJasOwUrBUHg+nXRH3rz5s2EhYWh0WgICQnh559/dki2AwcOUKFCBTw8POzaw8PD6dmzJ8899xxLly7Nd3xISAgtW7Z0OPUuiEXUnZycGDNmDM7Ozrz11lscPnw4T8vmvn37qFy5Mr1790Yul/P8888jl8v566+/bH3i4uL47rvvmDbN/pS6sHVUKhX169eXEg1JSEg81qhcXHktXIzD2fT5h8U6t8JTTNwW++FBrObyu5F6UEKb+RNY25O4y6mc3R9b9AnkCnhhO1SoD5teg2yphNW9qNu1w7VJE65PfO2h51LKlTTxb8LGixuLQbKyQX8/MS727yT7943cTYlrA18Mf+fOAOs1YTyqypWJnf0e1nv2moIgEBoayunTp3MdpOeHbxVR2Uq9WXhWzoehzXDRypiVLj6nUik+d07OLTycPdCqtPYZNl3FPa1OSEdAeLKKoefk5FCtWjXOnz/P0KFD+fjjj1mwYAFjxoyxy7QpUTxUr14do9HImDFj+O2330hNTbW7/95773Hq1CnOnDnD3r17CQ8PZ8kSsXDnsmXL+PLLL1m/fj0pKSl88803uZLlAGg0GtasWUNKSgpffvklL7zwArGxhf/BOXHiBCEhIXZtJpOJVatWMXDgQAYNGsTy5cvzPaE8d+4ce/bsoV69egB069YNvV6f5/Xhh+Lm4vTp09StW9c2h6urK9WqVctXUbx/bavVatf3v//9L9OnT8ftdi2VOziyTmhoqMOnVhISEhLlFYVSSdUGjQFIii08lttRVIHiJs+aYyFp3flim7c80W1CXbTeLuzfcJGc7Adw25TJoNNt5fuDAEi/WbwClmMEQUDXvRuYTNxauPCh52vq3xSAlOzHo+zHM3o1lZ1VbL2Z+3lc63phzTaTE5Nu1y5TqfB7520yDx8m5r9v2t1r1qwZQJ4eXHnRdby4x4o8GPcg4juMxks0PqUmiNY6Z2cxuYzReAtBEAhQB3Dy5sl7BvgD4EUKOWYL1xIfTbmHkqDISp5SqSQrK6skZClzZJoyOX3rdIlemaaCTzB0Oh27d+8mOzub4cOH4+3tzbBhw0hLSwNg5cqVzJw5E3d3dwIDA5k6dSorVqwAYPHixbz55pvUqVMHmUxG/fr180yM07p1a2rUqIFMJqNLly6EhYVx6NChQl+f5ORk1Gq1XduOHTswGo107NiRXr16ERcXx549e+z6dO7cGb1eT+fOnRk5ciSjRo0CRIticnJyntebb4pfJgaDAa1WazefVqvFYMh9gtmsWTOioqL4+eefycnJYeHChVy6dIn0dPFLa//+/bbDivtxZB2NRkNKPnVjJCQkJB4nWgwaAcCi14qvXphcqyJgrliHjHJ8Wv4wCIJAuxGhZKYa+Wv5ucIH5EVgE7FQOsAn1cD85GUszQ9d374oKweSsnnLQ8fmNfYTDzp+jfq1OEQrdQRBoKu3nrVxSbmsVU7BegCSN17INc6teXOUAQGkbt6M8epVW/sdj7KjR486tL6LWoXO24UDv1x66P+bgtB6ie6Xqbdr5Tk5iUqf0Sh6tmlVWs4k3qOYqlwxK1zxFFJITDfio3EuMdlKGsWDDBo/fjwfffQRP/zwAwrFA01RLriccpmBmweW6Bqruq2ilmetAvvUqVPH5vZ4+PBh+vfvz5w5c/jwww+JiYmxuW4CVK5c2ZY18/r161SpUqVQGfbu3ct///tfzpw5g8ViIT093ebWWRA6nS6XchUeHk6vXr1QqVSoVCq6dOlCeHg4rVq1svXZtm0bLVq0KHT+vFCr1bmsmampqbmUTQBPT082bNjAf/7zH1555RU6dOhA+/btqVixIhaLhYkTJ7JgwQIEIXelS0fWSUtLyxXLJyEhIfE44h0YhCCTYbVYOLPnT2q2fLZY5hVkAqogLZTjgsMPS4UQd1y1Ks4diKXNsBoolA8Qc99oNFzaBWd+gTUvwMD8QyWeJARBwG/GDK6NHkP6vn2on3nmgeeq41UHfzd/Pvn3EwbUGFCMUpYebTw0LLgWz9G0DBrp7no0CXIZygA1xqtpWK3WXPukKhs3ENmwEZe69yD0WISt3d/fnwMHDnDr1i08PT0LXb9e+0r8tSKSmMhkAmq4F9tz3YvaXXS/jLt0geCGTVAodAiCAqNRVPq8Xb05EGtfJsbi5oN3VgoVdC7lOibvgTS0f//9l507d7Jjxw7CwsJyubqtW7euWIQrbaroqrCq26oSX6MoNGjQgD59+nDypGharlChAlevXqVaNTEd89WrV21ZMytVqkRUVFShcw4fPpxp06YxcuRIVCoVzZo1c+hUJSwszC5pisFgYOPGjcjlcrZt2wZAeno6SqWSr776CicnpwLn69y5cy6r3x2mT5/O9OnTqVWrFgsWLLC1Z2ZmcvHiRWrXrp3nuNatW/Pvv/8CoitpcHAwjRo1IjU1lSNHjtC9u5g5zmg0kpqaip+fH5GRkQ6tc+7cOUaMGFHgM0lISEg8Loz9fhkLRg9m6/z/EfpMawTZA4X158KSnkNGVCrufUJspRWeNDq/Esbajw9zancMT7Wr9GCTDFwKG8fD0XA4tR5q9y5eIcspbs2b4xwWxs2vF+DWvHmeB7uOIBNk9KjWg2+Pf8v5pPOEuIcUPqiM01yvxlOpYGN8kp2SB6DrFMTNhScxRqXiVMX+QFuuVqPp0IG0HTtI++NPNG3FQ58WLVpw4MABLl686JCSV7tVAEd/u8qhbVElpuQJMhkuWh05WaLbpSDIUKm8MBpF1+aquqoAmC1m5LLbByxuXnjeEg/6TeW4RNgDfZvq9Xr69u1Lx44dqVChAjqdzu56XHBRuFDLs1aJXi6KguMYz549y+eff26zzkVGRrJp0yYaNxbdBgYOHMh7771HUlIS165d47PPPmPQoEEAjBw5ko8++ojTp09jtVo5cuSIzc3zXtLS0vD09ESpVLJ27VqHC1o2bdqUmJgYkpLEzEXr1q3D3d2dc+fOERERQUREBGfPnkWhULBly5ZC59u2bRsGgyHPa/r06QC0adOGzMxMFi1aRHZ2NnPmzKFBgwb5WiyPHj2KyWQiJSWFqVOn0qRJE2rWrIlOpyM6Otom5w8//EClSpWIiIhAo9EUuo7RaOTw4cO0a9fOoddKQkJCorzjotbYSirsXVV8liKnquK+4f5sfk8Sd5JQnNz9kHUDu30J2oqwZSqkF+6R8yQgCALeE8aTeeQI6X/ve6i5RtQegUJQMHPfzGKSrnRRyAQG+Lnzw/WbpJvsY0KdqumRa1WkH847Zi7gi88BuD5uHJZssc6cRqPBxcWFrVu3OrS+IAgoVHKun03iVnTJJQ7yCapKyj3Z0FUqT7KN4u8BajFGLyHz7veP3M0TvWDAZLE8OSUULBYLH330EZGRkZw8eRIfHx8WLFjAjz/+aHdJFB8ajYZ9+/bRoEED3NzcaN++PV27drXFqL3zzjvUqFGD0NBQmjVrxqBBg3j++ecBGDJkCOPHj6dbt25otVrGjRuXZ9ajr776iokTJ+Lu7s6vv/5K69atHZLNycmJgQMH2rJxhoeHM2bMGPz9/fHz88PPz4+AgABGjRpFeHh4sbweTk5OrF+/ni+++AK9Xs/u3bvt5n7llVd45ZVXbL/PnTsXDw8PgoKCMBgM/PDDD8BtF47bMvr5+eHh4YFcLsfPzw9BEApdZ9u2bbRs2RJfX99ieS4JCQmJ8kCb4WPQ+fpxcMPPJFyNKpY59T3EGqWpf1wtpOfjiyAItBpUneS4DGLOJxU+ID/kChjzO5iyYWmvYpOvvOPWqhXOT9Ul7v33bQrJg6BVaekd0psTN0+QnpNe+IBywEB/0Z1xy30JWASZgLKShuzzSXl6dwkyGUE/rwYg8XbCPxAPwe/9tzC6jhMTsJw/VHIJWNx0ejJSkm2/q1Te3LwpltYI1IohT7HpdxMOyty88BRSkQkCpvKc+ddaBGbPnm2VyWTWDh06WHv27Gl1dna2vvDCC0WZotRJSUmxAtaUlBS79szMTOvp06etmZmZpSRZ+eTatWvWevXqWc1mc2mL8khp3bq19dixY6UthsQDIH3WJSQejrjLF62fDuhq/XRAV2t2ZkaxzHnjf/9ar/13t9VithTLfOWRHKPJOv/lndYNnx95+MnWj7NaZ2qt1oM/PPxcjwmZp09bT9cItcZ/Oe+h5vnr2l/WOovrWN/a81YxSVa6WCwWa929J6wt/jmd617muUTrtf/utmZdTs53/I05c6xn6oRZjdHRVqvVao2Pj7fOnDnTunv3bodlmP/yTuv8l3cWXXgH+St8kfXzIT1tv/9zoJv1wMHuVqvVak03plvrLK5j/eXCL3cH/PqW1TjD3dro/d+sk1ceLTG5HpT8dJn7KZIlb8mSJSxYsIBff/2VDRs2sGnTJpYtW2ZXl03iyaJixYocPXoUWTHFZpQXdu3aZVdiQUJCQuJJwSeoKi2HjATg4AbH6qoWhqrS7QLFCeU3XfnDolDKqVrPm+tnk0iOf8jXofuXULMHbJkC0UeKR8ByjnPNmjg/VZfEJUswGx7cCteqYitaVWzFxosbuZlZ/ktWCIJAZ289lzOzMdzvsnnblTppTf4lTrzHjQO5nLiPPgbAy8sLoEh1hFsOFOMbb1wsmYzlzmoNZpMJs0nMPOvp0YKcHHEtV6UrGpXGPsOm1YpSMCOXCUTdKr8W2yLtzK9evUqXLl1sv7dv3x5BEGzxYhISEhISEhKPP4179sNFo+XA+tW2jdPDoG4q1qYyJT24K93jQIsB4mZ3+7cnC+lZCHKFqOg562HNKDA8ufGO91Lxiy+wZGWRvObhDifebvI2AFsuFZ5voDwwPtAHkxVWxybatQsKGQpvF0wFFCyX6/W4Dx5M2q+/krp9O4Ig4O8vfp6zHXSNrd0qAJlc4HIJxeVqPEXFMyVedAlVKPVkZV233XdTupGRc8/Biloss5CcYcRLXXDSwLJMkZQ8k8mEs7N9vQilUulwdXsJCQkJCQmJx4Nnn38RgJ/fm/7QcwkqcTtya/Epsi8/ufVHNR7O1G4VwK1oAzevP2QiClcPePkvyMmARR0grWSLTpcHlP7+6Lp25ebXC7A6GDOWF/5qf+r71GfxqcXFJ1wpUslZRWOdGxvjk3Pdc6ktKkg5BVjZfaZMBiD+40+wWq307dsXgN9++82h9eVyGaFN/Ti7/wbWEkh04lGhIgAp8WLcndkkJiG0WET9JdQjlMNx9yQd9BAz1rs7wQMmYy0TFEnJs1qtjBw5kj59+tiurKwsXnnlFbs2CQkJCQkJicebO7Xyos+exvqQYRsKH1e8XgwDICMivpDejzeNugYBsOr9gw9fJNo9CEZuhawU+LyWlHET8Bg9CktaGnGffPpQ87Sp1IabmTe5knqlmCQrXXr66DmQkk5Sjr1lXtNWLOmR8N3xfMcKSiWVvv+OnJgYUtatt7ls3rzpuDtrSGM/MtNyOPp78SdguqPkJVy5DIBGK37X3KmVp5Qp7QeoXAHIysqiHCfXLJqS9/zzz+Pj42NXLmHYsGG5yihISEhISEhIPP50mfg6AJ8N7kFG6oNb4ARBwLmaHpc6nhhjym8MTHHgpnOicXexXM/h7cWgQHgFQ/+fwGKCT6rCE55Hwbl6dVybNiVl/XqsD+GJNrDGQDRKDSvPrixG6UqPNh4aAP5KtC+1JVOJteMsaTmYDflbP9UtW+LatCm3vvsOS1YWzZs35+rVq2RlZTm0fkCIHoD96y4+gPQFo7zthXjzmvh5clKJ7phZWWK42VPeTxGXEXf3UEUj1pt2VZixlGMtr0hK3v2lEvK7JCQkJCQkJB5/aj7TmtqtxXqhy6ZPeej55Doncq6lYU5/ssNAGnUVlbwDGy+RWkA8lMNUaQkVG4k/rxn58POVc3ymTsViMBA9ZeoDz+GqdGVQ6CDCz4STkl3+XYyrujhRxUXFzsTUXPd8Xn0agOyLyQXO4ff2WxivXOFS9x40bNgQi8XC8eP5WwDvRZAJ+AeLhqKcbHMhvR+MyH/2AqBSiZZGs1k8UPJ19SXTlEmq8fazu4plJZTmbCwPa00vRZ6slIgSEhISEhISxUqncZNRu3uQmhBH7MX8s/A5gnMNcXNlNZbMJq880eV2/bClb+9/eLdNEOvntX4TTm+E3999+PnKMc51agOQ9ttvWB8icVDnKp0B+DmyeLLMliaCINDVW8+vN1PIvs/aqwpQo/ByIetMYj6jRZyCg1H4+pJz7Rqa226fjhZGB2g/shZQMjXzguo1wCNAdD1VKt0ByMiIAsBF4QLAjfQbYmcX8b7MaqI8l8mTlDwJCQkJCQmJh2LYh18CcGTbLw81j6AQtyXGa2mF9Hz8qVLXiypPiRaHo78VU5xSmzehxRTY+xkc+K545iyHCIJApe+/ByBl48YHnifEXcyG+v3x74tFrtKmn587qSZLLpdNAJfanmREJGAp5ACm6sYNyL28iJs7lwoVRLdHs9mxQxutlwvufq5cPlb8pSn8g2uQEHUJALncDYBsoxj/W8erDgDX025n3JQryZa7IbPmFM8BSykhKXmPIYIgcP369cI7PiTLli2je/fuhfZTq9UlUmbDarXSsGFDrlx5PIKeHaV169acOHGitMWQkJCQsOGmd6d2m/ac2fMnu5YufOB5VEFivbzE5WeLS7RyTeeXxQQRR4ojNg/EVIHtZkD9EbDtdTj9cEp5eUbdsgXqNm249eOPD5U46LnKz5FhyiAxq2ArV3kg1M2F6q7O/JJXls064oFDdmRSgXPI9Xo8R48m7ddfaRkUBMDZs45/nmu3DODqyVsYsx6+NMu95GRn2f4VbqfMFAQFAB7OHjjLnTmbeFdOo1KH3JKD+UmJyZMoXWrUqEH9+vVLbf37lcehQ4eyadOmQscZDAbbaU5xsm7dOkJCQqhcubJd+0svvYRKpeLWLfssYiNHjsTJyQm1Wo2npyc9e/YkOjq6SGsmJCTQtWtX3NzcqFGjRoHFPqOioujYsSN6vZ6AgADef//9XH1MJhNhYWEEBwfb2s6dO0f37t3x9vbGy8uLPn362CnJkydPZtasWUWSW0JCQqKkaTFoBACHN6/n/IF9DzSHIBNwCfMCWTnOW16MCDKBp58LJDvDxOHtUcU0qQDd50G1trD+ZYg7XTzzlkO8xr6C8cJFUjY+uLI7ub5YPuDXqF+LS6xSpaePnu03U8gy3+eyWUmDwtuFzFOFZ2j1GDEcwcUFp+++x83NjVOnTjm8fmBtDywWK9HnClYmi0pQXXH/nBwnllFwcQ7EkCa+9wVBwFXpyoXkC7b+RqUGPQZJyZMoeQ4ePEhMTAwnT57kzJkzj3RtUzEUui0JFi5cyODBg+3asrOzWbNmDWq1mlWrVuUa884772AwGLh48SLp6elMmVK0RAHjx4/Hz8+PhIQEPvnkEwYMGEBiYt6nd6+++iqBgYEkJCSwd+9eFixYwK+/2v8RmD9/fq6MtCkpKfTp04fIyEiio6OpWLEiI0eOtN3v0qULu3fvJj7+yU4zLiEhUbZQu3swcelaAH5fuOCB51H6uwFW0naXvEdKeaBZH7Fm1z8bLhWf65ggQN+FoK0APz8Phifz74nLU0/h1rw5t77//oFj8yppK9EyoCXzjswrZulKhx4+egxmC3/mkYDF9SlvMk/dxJpTsOVTkMsJ/O5bsk+epJJCwenTpx122XT3c8Pdz5XTf994IPnznddfNDakJojvdUGmJNt4t/i6VqVFJtxVi5wsWZgRMElKnkRJEx4eTs+ePXnuuedYunSp3b1FixZRqVIl/Pz8+O677+zGPPvss3Z9X3jhBZtF6erVq3Tt2hVPT09q1qzJ9u3bbf2CgoL4+OOPqVmzJsHBwXTo0AEQrYlqtZo9e/awePFi2rdvD0BmZiaDBw/Gw8MDDw8PWrZsaZvrXgtgmzZtmDlzJg0bNkSr1TJw4ECys7NtfWfPno2Pjw9BQUF89dVXKBSKPF8Po9HIn3/+SYsWLezat2zZgpubG2+++Sbh4eH5vp56vZ4+ffoU6XTJYDCwYcMG3n33XVxdXenRowdhYWFszMefPyoqigEDBqBUKqlSpQotWrTg9Om7J6ZxcXF89913TJs2zW5c48aNeeGFF3B3d8fJyYkJEyawf/9+232VSkX9+vULtCJKSEhIlAZKlRMVa9UhIyWZrfP/90BzuDXwBQukbL2MOSW78AGPOYIg0P4FMSFFscYquXrAoOWigrd5cvHNW87w+c9UjJcvk7xm7QPP0dS/KYYcAzuidhSjZKVDiJsztdyc8y6MHuaF1Wgh40RC7oH34dqoEdquXXG7vX+JiopyWIZKtTyIOn6TnGJMwKT29EQml5N283ZtPKUOq+VuSYi63nU5Fn/M9nuGR008BAM55vJbckRS8soBJpOJVatWMXDgQAYNGsTy5cttp3knT55k0qRJrFmzhsuXL7N3717buJ49e/Lvv/8SFydmKTIajWzYsIGBAwdisVjo3r07HTt2JC4ujkWLFjF8+HBbXxDdIXft2sWZM2fYsUP84jp37hwGg8FOiQP46aefSE9PJzo6mvj4eObOnZvv86xevZq1a9dy9epVTp48yfLlywHYtGkTP/zwA/v37+fYsWNs3rw53znOnz+Pm5sbHh4edu3h4eEMGDCAQYMGceDAAS5dupTn+MTERNauXUu9evUA+PDDD9Hr9Xle3bp1s62pVqupWLGibZ6wsLB8FcXx48ezatUqsrOzOX/+PP/884+d0v3f//6X6dOn4+bmlu9zAuzevZvatWvbtYWGhjqcllhCQkLiUdL7vzMBOLPnT9ISi66UyHVOdwujHyt8M/kkUL2RL3KljL/XXii8c1HwrgHdPoOzm2HXR8U7dznBuVYtdD26kzB/PmbDg9VoHFJzCPA4uWy6s/1mCin3FUZX+LgiOMsxRuW28uWF98RXqXb8BK6CwMWLjte/q9VCtLpFFFfCIUAmk+Oq05MUK4a/ODn5kZEZZbuvlClJzk62/a4wZWBGICun/Gb6lZS8ArBkZpJ56lSJXpbMwuvf7NixA6PRSMeOHenVqxdxcXHs2bMHgLVr19KnTx+aNGmCi4sLM2bMsI3TaDR06NCBNWvW2OapUqUKISEhHDx4kMzMTCZOnIhCoaBZs2a0bt2abdu22ca/9tpr+Pr64uLiUqiMSqWSW7ducenSJRQKRS4l8F7GjBlD5cqV0ev1dO3alWPHjtmeZcyYMVSrVg2dTscbb7yR7xzJycmo1epcbVu3bmXgwIEEBgbStGnTXNa8OXPmoNfrqVOnDt7e3nz22WcAvPnmmyQnJ+d53VE2DQYDWq3Wbj6tVovBYMhTxpYtW3Lo0CHc3NyoXr06L730kk2p3L9/P+fPn2fo0KH5PiPAhQsXmD59ei6lWaPRkJJS/uvySEhIPH6onF0Y/pHouvbd2JFk5fMdWRDO1fQAZJ0v3ric8oogEwhu4ENqQibJ8RnFO3ntPhDQEHbNhfgnM+GN92uvYUlNJXHRogcar5ApGF9vPDuu7OBCUjEr4qVAfz93sixW3r1onzRPEARc6/mQdSHZIddhVeXKaNq0we/yZc6ddjz207OCuL87uOly0QQvBBeNluunTwLg7OSPxXLXU6CipiJGixGzRVTqLJ7V8SalXLtr5u0LJwFA9qVLRPXtV6JrBK1dg8t9Vpr7CQ8Pp1evXqhUKlQqFV26dCE8PJxWrVpx48YNKlWqZOt7788AgwYNYv78+Tar0sCBAwHRVfPy5cvo9XpbX5PJRIMGDWy/32uxKozhw4dz5coVevfuTXZ2Nq+88kouN8Q7+Pr62n52dXW1xbTFxsbSqlUrh9bX6XS5lKvVq1dToUIFGjduDNx99nsV37feeou3337b4ee6F7VaTWqq/elVampqLmUTxHTBnTp1YurUqUyYMIFr167RpUsX6tatS7du3Zg4cSILFiywZXjKi5iYGDp06MB7771H27Zt7e6lpaXliuWTkJCQKCv4BFWlerOWRO7fw9ejBzFu4Qpc1Joiz5N9XtxMFvRd+aTQcmB1zv0Ty6nd0TzTL6T4JhYEGPozfBoCS3vDa8dAoSq++csBygoV8Hh+BLd+/BH9oIEofXyKPEf/6v1ZdHIRk3dNZlPvwpPSlWUqOIv//8tvJPJZaKDdPZdanqT/c4Oc2AxU/gV7IgFU+ORjKg4dyqXkZG7duoWnp6dDMtTvGMjJv6Ix5ZhRKOVFf4g8cNXpuXpSNCy4uVUHwGIxIpOpqKgW95wJmQn4ufmhtGRiwq1cJ16RlLwCcKpalaC1a0p8jYIwGAxs3LgRuVxus7Klp6ejVCr56quv8Pf35/Lluycd165dsxvfrVs3xowZw6VLl9i0aROzZ88GICAggJo1axbo8leUP6oqlYrZs2cze/Zszp49S5s2bWjWrBlt2rRxeA4/Pz+7bJcFlYEICQkhPT2dpKQk3N3FopXh4eHExMTg5+cHQE5ODomJiRw8eNCm+OXH3Llz83UxbdmyJdu2bSMkJASDwUB0dDQBAQGA6C47YsSIXGMSExO5fv06Y8eORaFQUKVKFbp27crOnTtp1aoVR44csZWfMBqNpKam4ufnR2RkJFqtlps3b9K+fXteeuklXn755Vzznzt3Ls91JSQkJMoK3Sf9l30Bldi/ZjkLRg9myspNRfq74tbUX9xM3khHVSH3YdqThpOLAq23CxE7r9GsdzVk8mJ0xnL1gG6fwy+vwqKO8NKfxTd3OcHzxRdJ/nkNN7+aj/97s4s+3sWTNxq9wbv73+VC0gWC3YMLH1SGaemuZk+SgWyLBSfZPQlJquoQnORkHI1H5V+l0HnkGg3BT9Vjr9lMxKpVtBs3zqH1Q5v5c+TXq5z8K5p67QMLH+AAHgEVuXL8KACCICqOJlMqKpUXni6i8pmSnYKfmx+CVzBuwmUs5VjJk9w1C0Dm4oJL7doleskKcYVct24d7u7unDt3joiICCIiIjh79iwKhYItW7bQt29f1q1bx7///ktmZmauNP2urq507dqVF198kRo1alCliviBbNKkCRaLhf/7v//DaDRiNBrZs2cPV6/m7//s4+OTb+Dsn3/+yalTp7BYLGi1WhQKBXJ50U5e+vTpw8KFC7l06RKpqal8+umn+fZ1cnKiTZs2thjEK1eu8Pfff/Pnn3/aXqdTp07RtWvXAhOw3GH69OkYDIY8rzvKtVqtpmfPnsycOZPMzEw2b97M8ePH6dmzZ675vL29CQwM5Pvvv8disXDt2jW2bNlCWFgYOp2O6Ohom5w//PADlSpVIiIiAo1GQ2pqKh07dqRbt268+eabueY2Go0cPnyYdu3aOfrSSkhISJQKzfsPoUFX8Tvy4IafizTWraHo9VFYJr8niSY9qoAV/lx2rvgnrz8C6g2FmCNwvGj/V48Dcq0Wr3FjSV67luzz5x9oji5VugDwxp78w03KC5MriwfmJ9Lsw4oEhQy5VoWhCNlvK707C9+4OCIvOZ4h1t1PtBLuW+d4LF9huGpED6jsjAycnf0BMBpFb7I7lry4DDE3hVJmRcBari15kpJXxgkPD2fMmDH4+/vj5+eHn58fAQEBjBo1ivDwcOrUqcNnn31G7969CQoKonnz5rnmGDhwIH/88QcDBgywtd1REn/99VcCAgKoUKECc+bMwVJAQdAZM2bQt29f9Hq9XYIXgBs3btCrVy+0Wi2NGjXi5ZdfLjAuLy969OjByJEjadKkCWFhYTz33HM4OTnl23/06NGsWLECEAuzt2zZkmbNmtleJz8/PyZMmMCqVauKrQzEggULiImJwdPTkylTprBq1Spb8pdly5bZJUhZs2YNy5cvx93dncaNG9OlSxdGjRqFIAh2Mnp4eCCXy/Hz80MQBNavX8+RI0dYsGABarXadt1h27ZttGzZ0s7tVUJCQqKs0nrYaBAE9q5cUqQSAIJKPChMXl/+Y5yKi+qN/FC5KDi77wYpCcUcmwfQawHU6glbpkJy8SW9KC+4DxqEMiCA+E8fLDOsq9KV9oHtOZ90npuZxZgJtRSop3VFIcA/ybljal3CxMLoxhuOJaoRZDLqPPcc8a6uxBQh7rFh1yAUShmWYspw6RcsumimxMcil4tKpNEo/j/dseRtubQFAIVnNQSsWCzlN/GKYC22oivlg9TUVHQ6HSkpKXZJNLKysrh8+TJVqlTB2dm5FCWUuMOvv/7Kq6++SmRkZJ73LRYLjRo1Yt26dbkKoj/OtGnThnnz5lG3bt3SFqVcIn3WJSQePQc3rmHP8sXUbdeJ516a4NAYq8VK9HTxQDHggxZSXN5tEq6l8fPcf7FaYdyCZxGKu3B8RiJ8EQY+tWDERlC5Fu/8ZZzUbduInjyFwMWLcWvapMjjY9Nj6bCmA12rduWDlh+UgISPjlEnLnM5M5s/G4fatVvNFm58+C/O1d3x6F/doblSUlL4/PPPafLPP3TasgXBAW+v6HNJbPj8KPU7VqZZ72oP9Ax2MsTH8cOro+nwykSqN3+KvX83J6zO1/j4dAKg5cqWDKk5hLFPjcV6+hfmLNvOL87dOfhO54deuzjJT5e5H8mSJ1Gm2LBhAzk5OcTGxjJ79uw8XSHvIJPJOHz48BOl4AHs2rVLUvAkJCTKFY169EXp5MzxndsdtuYJMgH3vsWYYOQxwbuShtZDagCwb10JWDldPWDELxB7An5oB+XYkvEgaDp1wrluXeI/+QRrAd5N+eHn5kctz1psvrSZHEtOCUj46Ojpq+dMehZRmfb1KgW5DJdaHmSduYXV5NhrdCdZ3JH69Unduq2Q3iIVquvFMb9ecVzoAtB6eQOQZTCgVIr5HDIz787t7erN6ZtiFlBBWwEZVszF5AlWGkhKnkSZ4osvvsDDw4OwsDBCQkLsMmNKSEhISJRPBEGgUY++ABzdnn8NVAnHsNUR+/0ayXEl4LZZsQF0/R/En4ZlJZtlvKwhCAK+b7xO1qlTpG7Z+kBzTKw/EYCNFzYWp2iPnPaeWlxkMjblURjdrbE/lgwTGccdr2UZHBxMjkpF3HffYnVAebrXem8uBpdNQSbD3T+A9KRbyGRiBlGZ7K5Hj9VqtcXkoXBGwEJ5diCQlDyJMsWuXbtIS0sjISGBxYsXo9EUPeW2hISEhETZo2nfQQBcPvpvkcdajRas5icquqRABEFg0Awxa/Sajw6VzCJPD4WGo+DiH/DP/5XMGmUU14YNUbdrR8Lnn2MxGos8vql/UzydPfnp1E8lIN2jw00u5zkvLUtibuW6pwpQo6qiJWV7lMPz3cl0fsFkInnNWofG9J5aH4CTu6IL6ekYrjodhiSx/qZS6YHJfDfm0MfVB/ntrJs465BhxSolXpGQkJCQkJCQyB9BEOgyYSpRx47YChIXyu14s5iZ+4h+ay+mW5mFDHhy8Kyg5qm2lcjOMBF1ooSSfHT+GCo/A7++BSdKtqRUWcNn6hRy4uK4OW9ekcfKBBljwsYQlRrFucQSyIT6COnipeNalpHThtyfPdenvLGkGjGlZOcxMjfBwWJZiZONGpHw1VeYDYUnbvEPFt08Y84nOy50AUSfO8O5fbsBUCi05OTcnbe2Z21uZt3+LKnckGHFYpHcNSUkJCQkJCQkCqR6MzHr8m/fz3eov0sdL1xqeyIoxe1K7CeHyI5KKTH5yhvN+1bDyU3Blq/zr3n7UMiVMGwthHaFtaOfKEXPqWpV3AcO5NYPC8mJiy/y+IE1BuLp7Ml3x78rAekeHZ28dCgFgV/ycNl0rSvGuKXvv+HQXDKZjCpVquCk12NOSSF51apCxwiCQIPOlbl8/CY52Q8fHxravJXtZ6VSh8mUZvvd19WXhIwELFaLTcmD8uuvWSaUvK+//pqgoCCcnZ1p0qQJBw8edGjcypUrEQSBXr16layAEhISEhISEg+NXKEgqF4DEmOu89mgHoUmYZE5yfEcXosK7zZH30vMrpfwzXFufHSwSOUYHldkchl1WgUAcOFw0RURh1C6QP+foEorUdG7+eSUtPCaMB6AxCVFd7tUypV0DOrIjis7yDY7ZukqizjLZQz29+CLK3GY7/vMyVyVAKTtuubwfA0aNCApNRV69yJh3jzMhtwlGu4ntKk/VouVP5aeKZrweeBdWawXbbVYUCi0mEx3D428XL0wW80kZSWBXAVYsVJ+v2dKXclbtWoVU6ZMYebMmRw5coSnnnqKjh07Eh9f8JdVVFQU//nPf4pci01CQkJCQkKi9Oj1+jsAWK0W1s51LLmWIBNQN62A15gwAMxJ2ViNT1bWx/xo1EXctP7246mSW0QmExU9gPkNIDOp5NYqQyg8PNA89xyJCxdhySy6q3DPYDFD+P8OPVjdvbJCP18xE+WfiWm57mnaBYJcwOKgla1KFfH9euWpp7BmZxM3Z26hY/S+YhmPC4ce/iDDyVWsj5eekoxCoSU19YTtnpeLWP/vZuZNEAQsgpxkU/71mss6pa7kffbZZ7z44ou88MIL1KpVi2+++QZXV1cWFVAs0Ww2M3ToUN59912qVq36CKWVkJCQkJCQeBjkCgVTV21G4eTEleNHMRUhsYVzsB6PwWLNLnNS+bWOFCdypYzAWh5YTNaSi80DsbTC2H3iz6ufh+zcG/7HEffhwwC4PuHVIluPa3nWooJbhXKfZbORzg1vlYKdt1Jz3XOt5w1mK9kXkx2ay83NDU9PTxKNRjzHjCZ182ZMCYVn6PSpLCbiM+c8XJZNr0pi2a20mwlYLNlwj6XujpJ3K1NMNBOPOzKKpxB7aVCqSp7RaOTw4cO0b9/e1iaTyWjfvj379+/Pd9zs2bPx8fFh9OjRj0LMJ55Zs2YxZswYh/unp6dTq1YtDA6Y4B8nWrduzYkTJwrvKCEhISFB32nvgiCwd2XRXOHkevFkPe6LI8R+egjTTSkZS+exooVzy9fHiY4sQSubb20Ytg4u/wUfVATT469ouzVujN97s0n/+29ufuVYLOm9tKzYkgxTBscSjpWAdI8GQRDo7KXjz8TcSp7CywWZRkV2VO57+dGgQQMiIyNxGz4cmasrsbPfK3TMs8PFw53Lxx/uIMPldvHwlIQ4lEp3cnLufl7cnUSLZVRqFADepOAiSIlXHoibN29iNpvx9fW1a/f19SU2NjbPMXv37mXhwoV8//33Dq2RnZ1Namqq3VXe2L17N02bNkWn0+Hp6Unbtm25fPlyaYuVL9988w09e/ZErVbbtXfo0AFfX19M99VGadOmDc7OzqjVanx8fBg+fHiR/58uXrzIM888g6urK/Xr1+fYsfy/TCMiInjmmWfQarVUrVqVH374wXYvKSmJoUOH4uXlRYUKFZh3X1attLQ0xowZg4eHB3q9nhEjRtjuTZ48mVmzZhVJbgkJCYknlYo169Bm+GgOb9nI6d1/ODzOqbIWz2E1UVXWYrqZSebZxBKUsnygUMoZML0RANu/dTBz6YMS3A5aTBZ/Du8LT0BspHv//rg98ww3FyzAXMT9yZQGUwD44fgPhfQs2zTTq4nKNHIuPcuuXRAEnKvpyDrn+OcwJCQEgF2HDuH50ouk/fYbWeciCxzjVVGDZ0U1Z/9xLMlLfmhuF0S/8O8/uLlVu23NE3FVim6hsRmiDiKXCSBZ8h4NaWlpDB8+nO+//x4vLy+HxnzwwQfodDrbValSpRKWsnhJSUmhZ8+evPHGGyQlJXHlyhVeffVV5HJ5sa5zv+L1MCxcuJDBgwfbtd24cYM///wTo9HIjh07co354YcfMBgMHDt2jIiICObMmVOkNQcPHkz79u1JTEzkxRdfpHfv3vk+0/Dhw+nYsSPJycmsWbOGyZMnc+aMGMw7adIkLBYL165dY+/evXzxxRf8/vvvtrGjRo1Cp9MRFRVFQkICkydPtt3r0qULu3fvLjSeVEJCQkJCpH7nHnhXrsK2rz8j7pLjCT1c6njh/XJdAFI2X8JsKHots8cN70ANdVoHkJWeQ8LVEnalbD8L+i6Eq/th4XNgKb8bYUfxmzkD5HJuLcw/nCgvXJWuvNP0HXZd30VkUsGKTFmmi7cOrULG6tjcypxLmDemuAxy4jMcmsvbW1S0YmJicB86FJmrK7e+/bbQceYcC1dO3MLyELXrlCrRE8BFowWr+L61Wu/GEzrLnTFbxN+drZlYypeqZEepSu7l5YVcLicuLs6uPS4uDj8/v1z9L168SFRUFN27d0ehUKBQKFiyZAm//PILCoWCixcv5hozbdo0UlJSbNe1a45nACoLREZG4uTkRJ8+fZDJZKjVanr37k1gYCAgxifOnDmTypUr4+vry9SpU23KzcWLF2nVqhV6vZ4KFSowffp027yLFy/m2Wef5eWXX0an0/Hjjz+SkJDAkCFD8PHxwcvLizfffNPWPzMzk/79+6PRaGjSpEm+lsSrV68SExNDWFiYXfuKFSto0qQJQ4YMITw8PN/n9ff3p3Pnzpw65XgA+blz5zh9+jTTp0/H2dmZsWPHYrFY2LNnT579o6KiGDx4MDKZjPr161OzZk3Onj0LwJYtW5g2bRouLi5UrVqV0aNHs3jxYgBOnz7N4cOH+fjjj9FqtSiVSp5++mnbvCqVivr167Nz506HZZeQkJB4khFkMnpMfQuA5W9PxWzKKcJYAXVLMbNk0s+RWE2Pv6JRGE1vZyD9a8UjqM0W1g+efQuu/wu/Tiv59UoZVWAgbi2e4da332LNcfx9CtA7pDcV3CqU63IKTjIZXbz0bElIzhWb6Fxdj6CSkVmEmNCmTZuSkJCA4OSEz7Q3Sd26lcxC9n7P9BXr7J3eG1P0B7iHSrXrEh91CWcXcS+dk3M3w2Zd77ocTxBLkqQr3LFapRIKD4RKpaJBgwZ2m2KLxcLOnTtp1qxZrv6hoaGcOHGCiIgI29WjRw+effZZIiIi8rTSOTk5odVq7a7yRPXq1TEajYwZM4bffvstlxvjZ599xp49ezh06BDnzp3jyJEjfPPNN7b77733Hjdv3uSvv/4iPDycDRs22O7t2bOHZs2akZSUxLBhwxg6dCiurq5cvHiRa9eu0bNnT1vf9evXM27cOJKSkqhRo0a+boknTpwgODgYQbD/UISHhzNw4EAGDRrExo0b843Xi46OZtu2bdSrVw+AcePGodfr87zGjRsHiMpX9erVcXK6mwEpLCwsX0Xx1VdfJTw8HJPJxMGDB7l69SpNmza13b/3y8tqtdrm+ffffwkJCeH555/H09OTpk2bsm/fPru5Q0NDOX68hOoVSUhISDyG6H396PvWe1jMZv5YVPhp/r2om/gDkHUuiZuLSthNsRzg5KKgfsdA4i6n8tfyR6DotZwCHefCgW/g8OKSX6+U8Xr5FZDLSShibJ5SpmRM3THsiNrBxeTcBonyQm9fd6IyjRxLs4+DFZRynEM9yDx9y+G5KlWqhNFoJC4uDn3v3qiCgkgopPB85TBPgId+bytUKpJjY1ApPQDsCqILgkBMuqhEWgV5OXbWLAPumlOmTOH777/np59+4syZM4wdO5b09HReeOEFAEaMGMG0aeIJkbOzM3Xq1LG79Ho9Go2GOnXqoFKpilW2HKOZhKtpJXrlFJICWqfTsXv3brKzsxk+fDje3t4MGzaMtDTRFWPhwoW8//77eHt7o9frmTp1KmvWiMVKq1WrRuvWrVEoFISEhDB06FD27t1rm7tatWqMHDkSmUxGYmIiu3bt4ssvv0Sj0eDi4mKnaLdr145nn30WhULBoEGD8o15S05OzhWLd+bMGY4dO0a/fv1o0aIFHh4erFu3zq7Pyy+/jF6vp1mzZjRv3txmdVywYAHJycl5XgsWLADAYDDkUt61Wm2+imTnzp1ZsmQJzs7ONG/enI8++gh/f3Gj0KlTJ+bMmYPBYOD8+fMsXLiQ9PR0QFRAd+zYwbPPPktsbCyTJk2iR48eJCcn2+bWaDSkpEiFeiUkJCSKQlDdp6lYqw7Hd27n4mHHauWCmPQhYG4LALIvpZCT4Ji72OPMHWveyd3RD52J0LEFx0G9YbDpNYhYUfLrlSKu9Z9G368ft777Dqu5aCU8elXrhY+rD19HfF1C0pU8z+jVeCkVbIjPndxH4e1KTrQBU2JWHiNzU6NGDRQKBfv370dQKPB6dQLpf+0m48iRfMfca0AwP4TlXu/rT2ZaKgqFuF81me0Lopsst8N9ZHKs5bgYuqK0BRg4cCAJCQnMmDGD2NhY6tWrx/bt223JWK5evYpMVjq6aHJsBqvn/luiawyY3gjvQE2BferUqcPSpUsBOHz4MP3792fOnDl8+OGHXL16lc6dO9ve+FarlYAA0X0lOjqaCRMmsH//fjIzMzEajQwaNMg2b8WKFW0/X79+HR8fH9zc3PKU4d7kOK6urvkqUDqdLte9pUuX0qpVK5siNWDAAMLDw+2Slnz77bcMGzaswNchP9RqdS4LZ2pqai5lEyAxMZGuXbuyaNEievfuzalTp+jUqRNhYWHUr1+fefPm8eqrrxIcHIynpydDhw61WetcXFwICgqyZXUdNGgQc+bM4cCBA3Ts2BEQ40Z1Ot0DPYeEhITEk0yPKdNZMGYIGz6ezaRlG5ArHNuiCDIBdauKGHZfJyMiAd1zlUtY0rKNIAh0fiWMbd+cYO/P52k9pEZJLwjdPoebkfDLBPB/CnxrleyapYi6VUuSV60iZcNG9H37ODxOKVcytOZQPjv8GTGGGCqoK5SglCWDQibQxkPD3qTce0B1U3/Sdl7l1pJT+E5qUPhcCgUBAQFERUUBoO3cmVvffEPc3A+osubnfMcNmN6I1XP/JfpcEoG1PR/oObwCg7BaLIDoAZZjvGuBDNQEkph1O+5QpsAiKXkPx4QJE5gwYUKe93bt2lXg2DvxUiWB3s/Vlq2qJNcoCg0aNKBPnz6cPCm6pQQEBLBq1Srq16+fq+/bb7+Nu7s7kZGRaLVapk2bxo0bd7MS3XsiUqlSJRISEsjIyMDVtWgy3UtYWJhdbKTVamX58uUkJCTY4iyzsrIwGAzcuHHDpvjlxyuvvJJvDN+wYcP45ptvqFWrFufPnyc7O9vmsnny5EmmTJmSa8zFixdxc3OjX79+ANStW5fmzZvz119/Ub9+fTw8PFi2bJmt//Tp02ncuDEgKtv3u6He//u5c+fslFcJCQkJCcdw0Wh57qUJ/PbdfCJ+3UKDrj0LH3QbfZcqGHZfJ+2Pq0+8kgdQtZ43FUPdObk7mlotKhR6mPzQKFQwYgP80F5MxDL5JLi4l+yapYS6bVucqlfnxltvoX62DQoPD4fH9gnpw2eHP2P+0fnMbVl4EfCySAt3NWvjkkjKMeGuvKtGyDUqlH5uWArxULuXGzduYDQaMZlMKBQK3IcNJ3bmTDIjInC5HbZzP16V1KhcFESduPXASp6rTg+AJUv0AMzMirbd0zqJnmE55hyQK8q1Ja/U3TXLMkqVHO9ATYleSlXBWTLPnj3L559/TkyM6B8cGRnJpk2bbIrHqFGjePvtt7lx4wZWq5WoqCj++usvQLQqaTQa1Go1J0+eLDDhSYUKFWjdujWTJ0/GYDCQmZnJP//8U+TXrHLlyvj5+dnqxe3Zs4f4+Hhb1syIiAjOnj1L7dq1WbGicLeOb775BoPBkOd1J/awRo0a1KxZkw8//JDs7Gy+++47BEGgZcuWuearXr06GRkZbNy4EavVyunTp9mzZ48tUcyFCxdITEzEZDKxdetWlixZYsug2aZNG6xWKz/99BNms5k1a9Zw48YNmjRpAtyt+9iuXbsiv24SEhISEhD2bAcAdi35nozUorm+yz2dwQoZEVKGY4Cu4+riVUnN6rn/YkhyzIXuoVC5wfD1IJPDmtFgLlpykvKCIAj4zxUVtOiJrxVprM5Jx+DQwWy6tKncxuY9467BCuxPzm3Nc2vqhzkxC9Mtx2pXdu3aFYCjR48CoO/XF6caNYj//It8xwiCQGAtD07sul5k2W1y3lby0pNE926ZcFdZvVMr71bWLQSZQsquKVFyaDQa9u3bR4MGDXBzc6N9+/Z07drVlvny9ddfp1mzZjzzzDPodDq6d+9uyyA6Y8YM/vzzT7RaLRMnTqRv374FrrVs2TKSk5MJCgoiMDCQX3755YFkHj16tE2BCw8PZ8CAAQQHB+Pn52e7xo4dW6DSWVSWL1/Ojh070Ov1/N///R/r1q1DcdvVZ+7cuXTu3BkQ3UlXr17NzJkz0Wq1dO7cmSlTptC+fXsADh48SK1atdDpdMyePZu1a9faXFWVSiUbN25k/vz56HQ6PvjgAzZs2IBerwdg27ZttGzZMlfdRwkJCQkJxxBkMga9+zEAGz6aXaSxHgNFt8S0vdGF9HwyUKjktBpYHYCfpu0rpHcxofGDAUvg0i74sctjW0PPpU5tfN54g4xDhzDkk8k7P8Y9NQ6FoGDLpS0lJF3JUslZRaCzir/zcNl0fcoHgMRVjiVGuXPAfujQIQAEuRyvsWPJOHCAjCNH8x0nU4jWtWQHSzbcj/PtcJ7k2BgUCg05prshP35uotdZfEY8VkE0xDxMyYbSRLDenwf1MSc1NRWdTkdKSopdso6srCwuX75MlSpVcHZ2LkUJyz/p6ek0atSIgwcP5hkX97jSpk0b5s2bR926dUtbFIkCkD7rEhJln9Wzp3Pt1HGee2kCddt1cnhc7P8OYUrIJOD9ZxAU0jk2wM7Fpzn7TywNOlemac9qj2bRX9+C/fNB6QZvPVy6+7KKNSeHs0/XR9uxIwH/+7RIYyfsnMBf1//ixPMnSki6kmXy2ascSklnd+PQXGEr8d8cA4sVn3H1HJrr888/JyUlhRkzZiCTybBaLJytVRuAmmfP5DnGmGXi+0m7adKjKg27BBVZ/hxjNvOG96XDKxNJVb2Hr283goP/C8C1tGt0WdeFL9p8wc5Vx1ieWINz73fCSVG89akfhvx0mfuRvgElih03NzdOnz79RCl4IMaPSgqehISExMPTbZK44frtu/lcOHTA4XFujW/Hfp/NXbD5SaXt8zXxqazh8LYrpDmY+fCh6TgHAptBTjosaP5o1nzECEolPpMnk7pjBzmxsUUaW9db3CuUV5fNbt56zmdk5yqlAODW0A/j1TRMDroId+/eHRATAIJozdc8J3pXpecTNqRyFj21Dvxyqciyg1gQ3cnNjfjLFxFkCtLTL9juaVWi0mS0GPFRGYHya5CWlDwJCQkJCQmJMoWrVsfg9z4BYOMn7+Uqvpwfbg1Ed3lTcnaJyVbeEASBDmPqALBk+iNy2wR4YRu4V4H4UxCx/NGt+wjRDxyIzNWVhK++KtK4kbVH4qJwYcOFDSUjWAnTxkODv5OS5Tdy18VzCtEDkLbbsZi5qlWr4ubmxpkzd612AV9+icLXl4TPv8j3s1+3rZgh3pRTtFIWdxBkcoyZmbncNTUqDTJBRpoxDUFedqx3D4Kk5ElISEhISEiUOSpUr0mbES8CMO/5fg6NkbkqUfi4krL5EqbkR2S1KgfovF3QersAcHDTg1k/iowgwMSj4FdXdN80GR/Nuo8QudoNzxdeIOWXTWSdc7xAt0quolvVbqyNXOvwAUZZQi4IDPLzYE1cEtkW+3p1Cp2Y5Tz7fLJDc8lkMkJDQ9m/f7/ttRBkMnzeeJ3MY8fI+DfvUmY1m4vZ2U/serAYXN8q1TBmZiAgB+tdRVEmyNA76UnKSsKiEMuKlcP/IkBS8iQkJCQkJCTKKPU7d0fp5IwpO5tfv5nn0BiP/mKykdTtUSUoWflj+HvNcHJVcO5g3KNbVBCg+xeQmQibJ5ff3XIBeIx6AVVgIFdHvoDV6Lgi+0yFZ0jLSeNQ3KESlK7k6O3rTobZwq83U3Pdc+8bgulmpsMHLaGhoYBY3/kO2s6dcapZk/gPP8pzjGeAGBJ0eFtUESUXUXt4cuP8OdzU1XPd0znpSM5ORpCJbqE5JtMDrVHaSEqehISEhISERJlEkMkYv0jM1nzyzx1kpuXeUN6PqpJYEy5TisvLRXBDX1ITMslKf4TlDQIaQOdPICIcfnvn0a37iJCpVFT84nPMKSkk/N//OTyusb9YCuuro0Vz9SwrVHdzpq7GhbVxuT9nLnW9QCGQefymQ3NVrVoVFxcXTp8+bWsTZDK8XhxD1unTZJ7InaBGEAS8KqmxmB/s4MBZrUEQBORyF9IM9gletCotZxPPkmMV1aScnPJZDkRS8iQkJCQkJCTKLHKFkt5vzgTg9O4/HRujc8KaZXa4XteTQr12lQDYuuD4o124yUugdIV9X8HZ8lk6oCCcQkJwHzSIW//3DcarVx0ao1Fp8HHx4eTNkyUsXcnR19edX2+mkpJjb+mSOSnACilbLzs0j1wux8XFhX379mE233Wd1HTsiEyr5cqI5/Mc17BLEDnZZpLjil5KwcnVFUNSIjnGNJRKvd29TFMmrkpXXBWiLOZy6mosKXkSEhISEhISZZoq9RoCYpF0s6nwU3WPoaL7V9K68yUqV3lD7+tK1Xre3LiYQuylohWbf2imnAH/evDzSMh6xGs/ArynTEHh78/11yZhvS9OLT+aVmhKjiWH62kPXti7NGntIVrN/0hMy3VP2zYQAIvRscQodwqjX7hwN9OlIJejqlwZa2Ymxuu5X6PA2p4AHH4A1+yAGrUAkFm9yc62z44arA/m7K2zWJTi8+XkSEqehISEhISEhESxIwgCHcdOAuCLob25df1agf3vuGxmX0zBeD33BvRJ5tnhogK89uPDmM2OKSPFgoseen8DchXMq//YxefJ1W74vv4fss+c4dZ33zs05o1GbwCw5PSSkhStxAh1c6GmmzN/JuZ2o3apIypgjpYzqVq1KgB//PGHXXvlxT8i02q59e23ucYoVWL2y7P7i1bCAkDrLWbizTIkA9glwLFYLchkMlt2TUcOlsoikpL3hDN37lwmTJjwQGO7d+/O33//XcwSlW127txJv36OZXmTkJCQkCg+6rRpT+Ne/QFYPHUsxsz8XbQEQUDfXdw0xs+PcNia8CTg7Kak5cAQALZ+/YjdNn1qQpNXIOMm/Dbj0a79CNB07oxz3bokfPEFFgeSsOicdPi5+bHi7IpHIF3J0Ejnxoa45FztCh9XAIxRhcfRArai6nFxcXYKl8zNDc9Ro0jZ+AumpKRc41oPro4gQKahaNY2N50eAKtRB4DFcjdJjJeLF/EZ8chuJ14x55TPkiySklcOCAoKws3NjfT0dFtbRkYGGo2GoKCgh5p7+vTpzJ8/v8jjDh8+zM2bN3nmmWfs2ufOnYsgCBw/bv+HY9asWSiVStRqNXq9nrZt29oF2DpCZmYmw4YNQ6PREBgYyIoV+X8pJiUlMXToULy8vKhQoQLz5tlnZRMEATc3N9RqNWq1mrlz59rurVmzhqZNm+Ls7MzIkSPtxrVr146LFy/mej4JCQkJiZKn5eDnadRTPGj7ceq4AvuqnwlA5ipu0qTi6PbUfbYSHhXcuHomkcSY9MIHFCft3oHGL8G+ebBl6qNdu4QRBAH/998D4PrYgt+fdxhfbzwAR+KOlJhcJUkjnRtGq5WrmfaKkCAIONdwx7AvxuG5nn9ejL27ds3eUq8fOADk8jwtpFXqeWO1wuFtV4okt8LJCZlcjjFLVO5MJoPtnr+bPxarBWSiJc8kKXkSJUlAQAAbNmyw/b5x40b8/f1LTZ6FCxcyePDgXO3Lli3D3d2d8PDwXPeef/55DAYDN27cICAggBdeeKFIa86cOZObN28SHR3N6tWrGTduHOfyqUszadIkLBYL165dY+/evXzxxRf8/vvvdn3OnTuHwWDAYDAwffp0W7uHhwf/+c9/GDcu7y/oQYMGsXDhwiLJLiEhISFRPLQaMhKPgEoYbt3k71VLC+zr90YjwPHCzE8S3V99CqywYvYBcrIfsaWzyydi/bx/f4Abxx7t2iWMc/XquDZuTPrff2OMiiq0f6egTgBM3zu9kJ5lk45eOpxlAhvjk3Pdk9+umWdOc8zKVrlyZZycnDh69Khdu8LdHc9Ro0havhzTTfuMnW631zh3oGgum4Ig4ObuQXaqqAoZc+4Wdvdx9RHbrKJyZzJKSp5ECTJ48GCWLVtm+z08PJyhQ4fa9REEgev3BKa2adPGpmxt3ryZGjVq2Kx/K1euBEQL25gxY2xj/vjjDxo2bIhWqyUkJIQ9e/bkKc/27dtp2bKlXduRI0e4dOkSn376KStWrMCST+Cxi4sLgwcP5tSpU0V4BWDp0qW8/fbbaLVamjZtSs+ePVm+fHmefbds2cK0adNwcXGhatWqjB49msWLFzu0Ttu2benXrx8+Pj553m/VqhXbt28vkuwSEhISEsVHv7dEa8k/61aRZTDk20/mrECuVSFzVT4q0coNandnOr8cBsDW/ysF75SBtw+DVw1/7AqlV5wvlkWInTO3kJ7grHCmrnddog3RGM3l73XQKuR09tLx+ZXc9Re17SsDkB3lWKIdmUxGrVq1iIyMzLWH9BgxHGt2NldfGJVrXLPe1cjJNpNTRLdsN52ezBTx+8Nqufva6531AGTediG1Wspn/Kik5JUT2rZty4kTJ0hISCAhIYHjx4/Tvn17h8ePGTOGRYsWkZaWxj///EPdunVz9bl06RK9evVi1qxZJCUlsXPnzjythenp6Vy+fJmQkBC79vDwcLp06cLgwYNJTk5m165decqSnp7O8uXLqVevHgDLly9Hr9fned2RMykpidjYWDu5w8LCClQU7/Xptlqtufo2btyYgIAARo4cya1bt+4fni+hoaFERkaSnV0+T3YkJCQkyjsaTy8GzPwAgAVjhhTYVxmgRpAJj0KsckfVp73xDFBz/WwSWYZHnFzCvTKMOwDJV2DPp4927RJGrtXiNWEC6Xv2OGTNe7nuywAsPFk+vYSe89KRYbZwNt2+ZIlcq0Lu4Uz2hWSH56pdu7Ztn2k3l06Mncs+fx5Lpv06VZ7ywpxj4frZ3DF7BSHIZKTFi0qe0XjXQqhVaQGwyESl0WSWiqE/duRkZxF36UKJXjnZWYULglhDpF+/fqxatYpVq1bRt29f5Lez/jiCUqnkzJkzGAwG/Pz8qFWrVq4+K1asoHv37nTr1g25XE5gYCDBwcG5+iUnJwPg5uZmazObzaxcuZKBAwfi4uJCjx49crlsLl26FL1eT9WqVUlOTrZZ1oYMGUJycnKe153YN8Ptk1qNRmObT6vV2trvp1OnTsyZMweDwcD58+dZuHChXUzj7t27uXLlChEREWRkZOSKvSuIOzKkpDx+KaAlJCQkyguVaoXhXbkKVquFNXMevyLbj4rOr4jWvB2LTtkdjj4SfEKhRlf46yO4sv/Rrl3CeNzeVyR8VXjeg1YVWxGkDWLD+Q0lK1QJ0c1bh4dSznsXbuS65xLqQfqBWIffW5UqibUc8zrEr/b7b6BQkHSfF5e7n7gf/eOnM7nGFITaw5PEaFG5M9+TeOWOkpeFePBhLadKnqK0BSjLJEZfJ3zapBJdY9gHX+BbNbcilRdDhw5l4sSJWK1W5s2bZ1cwsjDWrFnD7Nmz+c9//kPTpk35/PPPqVmzpl2f69evU6VKlULn0t0+TUlPT0etVgNi1snU1FS6desGiHFrw4YNY8GCBTg7OwMwfPhwfvjhB4dlvpc766SlpaHVih++1NRUW/v9zJs3j1dffZXg4GA8PT0ZOnQo+/bts92/42rq7e3NvHnzCAgIICsryyZrQaSliem478ghISEhIVE6DP9oHj+/9xZXjh/lyokIKofVK22Ryh06bxfaPV+TnT+dIeK3azzdIfDRCtD3e1jSC1aPgBd3gv4Rr19CyNVuOIWEkL5/P1az2ZaOPz+6VO3CgogFXEu9RiVtpUckZfGgksloplezJSH34beqsgb2Qc51g620SUE4OTkREBBATEzuhC2qihXR9+5NwvyvcR88GJmrq+2ei0ZJZloOVqvVlqmzMJQqJ9JviVl6MzOibO06J3Gfm2o2AJ6YzeWzhIKk5BWAR0BFhn3wRYmv4SgNGzYkMVHMENaoUSP++ecfu/uurq5k3mPCjou76x/dpEkTtmzZQnZ2NjNmzGDs2LG53CkrVarkUMZLtVpNUFAQ58+f5+mnnwZEV83s7GxbnROLxUJqaiq//PILAwYMKHC+ZcuW8fLLL+d5r3Llypw6dQp3d3f8/Pw4ceKELaPnyZMnqV27dp7jPDw87GIYp0+fTuPGjfPsK5OJBm1HT5nOnTtHSEiIQwqhhISEhETJIQgCvd54h69HDWLN+28zadl65Ar7+Dur2Up2ZBLJWy+h61zF4Q3gk0SNpn5cikjgnw0XqdMmwFZ/7JGgcoNeC2BRJ1jQDIZvgEqNHt36JYjf7He5MngIse+/j//MmQX27VWtFwsiFrDk9BLeavrWI5Kw+GjnoWVLQgoXMrIIdr27P3KuebteXmSSQ0oegI+PD0ePHiU9Pd3OawzAc/Qokn/+mcRly/B68UVbe9vhNdmy4DgJV9PwqezYIbyr3t1WJgHufi+olaIBwYK4LyyKUaUsIblrFoDSyRnfqsEleimdiqYorFu3jnXr1uV576mnnmLlypWYzWaWLFnChQsXADAajSxfvpzU1FRbGYO8XD0HDx7Mpk2b2Lp1qy0z5cWLF/Ncq1OnTuzduxcQyzmsX7+e5cuXExERQUREBMePH+eVV17JM8vm/QwdOtSW5fL+615z/bBhw3j//fdJS0vj4MGDbNy4kSFD8o7FuHDhAomJiZhMJrZu3cqSJUuYPHkyILoAHDt2DLPZTFJSEpMmTeK5557DxcUFED/MWVlZmEwmu5/vsHv3bjp27Fjoc0lISEhIlDwqZxfaPC9u9r4blztrs1OQuOEz7I4m53r+SVqeZARBoH7HylgsVn7+4NCjF8ArBF7ZC27esLA9ZCY/ehlKAJfbuQcy9hXuiuqv9qexX2NWnlv56N1mi4HnvMTP2d9J9p8xmUqOc00Psi8mOzxXmzZtAPI0PKiCgnBr3oyUNWux3pOcxbequP7V046XS/EODMJiNuPiUgVjzt1xgiDgonAh2XTbMmnMvyZnWUZS8soZtWrVyjOeDuDzzz9n2bJleHh4cPjwYZo3b26799NPP1G5cmXc3d357bff8qyNV6VKFdauXctbb72FTqejXbt23LiR278aYPTo0bY6dRs2bMDb25t+/frh5+dnuyZOnMivv/5apKQmBTF79mw8PDzw9/enb9++zJ8/nxo1agCwZ88eO9fNgwcPUqtWLXQ6HbNnz2bt2rX4+voCooWzf//+aLVaatasiVwuZ8mSJbaxS5cuxcXFhXfeeYfw8HBcXFx4//33bfdXrlxpl5FUQkJCQqJ0ebpjN0KfaU1GSjIXDx+0u6dtG4jv5PoAxH8dQU7cI64LV07wq6qjTqsAkm6kc2Zf3n/7SxStP3T+SPz5o8qPfv0SQBAE/D/4AOOVKxivF17Go1tVMeRl17VdJStYCeCtUvKsh4Z1cbmTnzgH68m+lIIlwzG3xzthQVu2bMl7rYkTMV65QuI9ezcXtYqA6npizic7LLPG00v8waIgLfWE3b0ccw5K+e1i6OVQ6QYQrOXxuOAhSE1NRafTkZKSYhdTlZWVxeXLl6lSpYrkhucg3bt3Z9q0aXbK5OPOzp07+b//+z/WrFlT2qJIPCDSZ11C4vHEarWy5I1XSU2I48X5P+J8z8Gf1WQh9tNDmJOz0feshrpZhVKUtOxitVhZ+PoeZDKBkR+1QFYaWUlXDYczv0Cnj6DpK49+/WLGnJzMxc5dcGvenID/FZxF1Gq1MnDzQNQqNYs6LnpEEhYfa2MTGX/mKgea1qSyi5Ot3ZSSTewHB9F1qYKmlWNhSitXruTs2bO8/fbbKBS5o8vOhIp5JWqevZtsJeL3q+xfd5EXv2iFwgGX41vXr7F46liajs9B5eJKo0brbfcGbh6IIiWMv088zfIOJpq37emQ3I+C/HSZ+5EseRIPzKZNm54oBQ+gXbt2koInISEhUQYRBIEeU6djzMwkfNpr9vcUMvzfFOOyU3ZcKQ3xygWCTKDD6NpkpuWwaV5E6QjR/yeo1Qt+ewfO/146MhQjcr0er7GvkPrrr+TEFlywWxAE+ob05d/YfzmXeO4RSVh8dPLS4SKTsf4+a57idsHylK2X8xqWJ82aNQPgypW8P69e48YBkPbnn7a2SjU9sFisnD8U79Aaag8xXtBkBIvVvkahRqUhyyKWysrKLp+JVyQlT0JCQkJCQuKxwN2vAjVbPktKfBxb5n2S675LbU+smSZyEspnjM2jILCWJyGNfLl+Noljf1x79ALIZNDjK3DSwLK+cHn3o5ehmNH16oXczY34zz4rtG/Xql3RqDRM/GPiI5CseHFTyOnirWNtXFKuuEJ1q4oILgqsZks+o+2pWLEiSqXSll/ifrzGi0re9bHjbG0eFdxQOsuJi0p1aA2n29k5BZMPWVn22Tw1Sg3G20qe4hHmISpOJCVPQkJCQkJC4rGh07hJeFWqzNm//+LvVUvt7mnaiun5Tbccq1H7pNJ2eCgAe1efJzm+FBRiZy1MjACFC/zUHeJy10wrT8i1WrwnvUbqps1knT1bYF+1Sk2f4D7EpMdwNfXqI5Kw+Ojr6875jGz+TEyza3d92gdrpolMBxOjyOVy6tSpw7lz5/JMRCPI5Sgriq6fOXGi5U4QBGo08ePqqVsOJ69RubiQnZmIINi7hGpUGrJvK3k4qJiWNSQlT0JCQkJCQuKxQSaTM/zjeWi8vPln3Squnzl5956ruJG7tbh8Kw0ljUIlZ+i7TVGoZPzyRUTpCOGshdE7xJ+/bQWW8rnRvoO+b19UgYEOWfNefupl1Eo1nxz6pNxl2mzlLpZJuD8Bi8pfLIWQuMzxguW1a9cmMTGR6OjoPO9XWbcWgKsv3M2qW6WuF2m3srgV7ViCJY2nN8Y0Z+4toQDgpnQjJlO07pmtUgkFCQkJCQkJCYlSRyaTM3TOZwiCjFWz3rS1K9ydHa7V9aSj93WlYZcg0hKzOHeg4FiyEsO/Lgz5GSwmWNIDymlRagBBpcJr/DjSd+8hee3aAvtqVBqmNpzKrmu7OJ98/tEIWEwoZAI9ffSsiUsi434L2O1EPo5m2byTIO38+bxfA/ntpCPGS5cwp4jlDvxD9ABEOvieddFqERQGcnLsM8FnmbNwUYjJ2SySJU9CQkJCQkJComzgpnenbnuxpunKmW/Y2l2f9gEg5deo0hCrXFG/Y2UCarjz+4+nS8+iVL0D9F0IUXtg1bDSkaGY0HbvjrZ7d27MehdzasFxY12rdgVg2+Vtj0K0YqWbtx6ANbH2rpl+UxsAkH0pxaF55HI5VapUyVfJA6i8YjkAtxaK2UiVt7NqHv3NMVdXr0qVSY8X6yRbLHeTrwRpgzDeOVSwSJY8CQkJCQkJCYkyQ9tRr1CxVh2iz55m5cz/AuBUTazBlfbnNYzX0woa/sQjCAI1m/sDcHZ/KVnzAML6Qb2hELm9XCt6giDgPWE85OQQ8+a0Avu6KFyopKnEr1G/PiLpio/uPnoa69z4JT7Zrl3u4Yxc70TaX4XXDLyDSqUiJiaGjIy8Y0Ndn34a5zp1uPXdd1iNopKm8xGVNkcOJlx1erIMmQAYjXeteWql2pZ4xVxOXYUlJe8JRBAErjtQlPNhWbZsGd27dy/2eWvXrs3+/fuLfd6SZu7cuUyYMOGRrffqq6+ybNmyR7ZeWeCdd95h/vz5pS2GhIREGUEmkzNgxgf4h9Qg+uwpNn/5MUpfN3TdqgKQvPlSKUtY9qne2Be1uxN/LDlD4o1SLCTfawE8PQzObIK1L0I5i1W7g6pyZbRdOmP44w+yLxVcUqBjUEeupV3jelrJ79mKm96+7uxPMXDTaLK1CYKAXKvCeC0Ns8FYwOi7tG3bFoBz5/IvKeH58ksA3Jg9G4BWA6sDkBKfWej8Gg8v0m+KspjNdxVJN5Xb3TA9yZInUdLUqFGD+vXrF2nMrFmzGDNmTAlJZM/9yuPQoUPZtGnTQ82Zl/ynTp2y1U8pT0yfPv2RKSA3btxg69atDBo0yK59+fLlCILAL7/8Yte+ePFiFAoFarUarVZLkyZN2Lt3b5HWtFgsTJo0Cb1ej6+vL59//nm+fbOzs3nxxRfx9vbGy8uLYcOGkZZ290Q9NjaWfv36odPp8PT0ZNq0uyeeL730Ev7+/mi1WsLCwuzeYxMnTuTjjz8mJ6f8xm1ISEgUL4IgMGDGBwCc27eb7IwMNC0CcGvmjymh8E3gk44gCHQZWxeAFe8eIMtQit+vPeZDswlwYjUsfK705HhI/GbNQuHrS8JX8wrsN7L2SAAWn1pc8kIVM928RYv5shj7WDfPEbVAgKwzjmXZ1Ol06PV6IiMj8+2jfU58L6SsEWMdfauKa/+z4WKh87totViMootndnacrV1AAIuYqMmcbXBI1rKGpOSVEw4ePEhMTAwnT57kzBnHMxNJPDpMJlPhnR4RS5cupWfPnsjl9sVdwsPDcXd3Jzw8PNeYNm3aYDAYSExMpG3btvTr169IMRjffPMNu3btIjIykr179/Lpp5+yc+fOPPvOnz+fI0eOcPbsWS5fvkx8fDxz58613e/RowfNmzfnxo0bXL9+nSFDhtjuTZkyhaioKFJTU1m0aBHDhg3j1i3xj4i3tze1a9dm8+bNDsstISHx+KNQqej/jvgds2vJDwDI1Sos6TkYr0kum4XhHaihQafKACyffaD04vMEATrOgYaj4Pq/cODb0pHjIZFrtXi/9hpp27aTls/fSQCdk44e1XqwPWo72ebsRyjhw+OtUvKMXs3auCTM97xf5GoVqiAdGSduOjxXw4YNiYyMxGjM3/qn798PgOxLl3FyEZWzi0cTCp3bTedOTrrY32S++13g6ewJcrHUikXu7LCsZQlJySsnhIeH07NnT5577jmWLrWv+3O/Ba1NmzaEh4eza9cu5s6dy08//YRaraZz5862Pps2baJKlSp4eXnxwQcf2NrNZjMzZ86kcuXK+Pr6MnXqVJvyMmvWLIYOHUr//v3RaDQ0adKEy5dFV4MOHToAorVRrVazZ88eFi9eTPv27W1zR0RE0Lp1a/R6PYGBgfz8888AbN68mbCwMDQaDSEhIbb2/OQPCgqyWZmysrIYP348fn5+BAYGMnv2bCy3facLkvd+IiMjadGiBVqtFl9fX15//XXbvTVr1lC7dm08PDzo0aMH8fHxNvmCg4OZOXMmXl5e/Pe//0Wr1XLlyhXb2L/++ovg4GCbPPdaJf/44w8aNmyIVqslJCSEPXv2AJCYmMiQIUPw8fGhatWq/PTTT7YxixYtonLlymg0GmrUqMGuXbvyfJ7t27fTsmVLu7b4+Hh+++03vv76azZt2kRqPkHfCoWC4cOHExcXZ1OeHGHp0qX85z//wcfHh5CQEF588UWWLFmSZ9+oqCg6deqEp6cnGo2GXr16cfr0aQC2bduGk5MTU6ZMwdXVFRcXF8LCwmxjQ0NDcXJyAsT3vtFotEuv3KpVK7Zv3+6w3BISEk8GgXXqovbw5OSfO8hITcGtkR8ASb8UftovAU17VSO0qR+ZqUZO7c47pf0jo8v/oEJ9+ON9SIsrvH8ZRNe7F04hIcR9+BFmQ/6WosGhg0nJTuG3K789QumKh1cDfYnMyGLnLfv9hmtdL7IvJDucZTM0NBSz2czFi/l/Vn3fFLPoJi1fbtde2IGEq16P6bYlz5RzV8lzUbgA4lizVchraJlHUvLKASaTiVWrVjFw4EAGDRrE8uXLHTpFa9OmDdOnT+f555/HYDCwbdvdDE1//PEHJ06cYNeuXbz77ru2D85nn33Gnj17OHToEOfOnePIkSN88803tnHr169n3LhxJCUlUaNGDWbNmgXAjh1iLZtz585hMBhyKRgpKSl06NCB4cOHk5CQwOHDh6lZsyYAGo2GNWvWkJKSwpdffskLL7xAbGxsgfLf4b333uPUqVOcOXOGvXv3Eh4ebqdY5Cfv/cyYMYOuXbuSkpLCpUuX6N+/PyBaUCdNmsTKlSuJi4sjNDSUcePG2cZFRUUhl8u5ceMG77//Pt27d2f16tW2+3f+3+7n0qVL9OrVi1mzZpGUlMTOnTvx9xeD24cPH06FChW4du0aW7duZdq0aRw/fpz09HQmTZrE77//TlpaGjt27KBy5cp5Ps+JEycICQmxa1u5ciV169Zl8ODBBAQEsGbNmjzHGo1GfvrpJwICAvDy8mLv3r3o9fp8rzucPn2aunXr2n4PCwvj1Km8a1E9//zz7N27l/j4eFJSUli3bp3toODgwYMEBQXRuXNnvLy8aNeuXS7r9bhx43BxcaFRo0a0bds2lxJ4/PjxPNeVkJB4suk8fgoA//fiUGRqBcoKbuRcSyP9cPlUFB417UbWIqC6nn9+uYTFUooxcTIZ9F8MORnwv+rlUtETBIGAeV+SExtLzH9ez7dfbc/aBOuDWXRy0SOUrnho4a7GW6Vg5Q1710yXOl5gsZK8peCYxDt4eXnh5eVVoCebzM0Nr3FjSV67FnNaGs+NrgVA3OWCs5i6aLRgERBQYTLdzfqpkCkQbit5lnIa/ykpeQVgMZoxRhtK9LIYCw/m3LFjB0ajkY4dO9KrVy/i4uJsVp8H5c0330StVlOnTh3q1q3LiRMnAFi4cCHvv/8+3t7e6PV6pk6daqcMtGvXjmeffRaFQsGgQYM4duyYQ+tt3ryZkJAQxowZg1KpxNvbmzp16gDQunVratSogUwmo0uXLoSFhXHo0CGH5l25ciUzZ87E3d2dwMBApk6dyooVK4osr1Kp5MqVK8TGxuLm5kbjxo0B0XI2btw4wsLCUCqVvPPOO2zcuNFm3XRycmL69OkolUpcXFwYOHCgTckzm82sXbs2TyVvxYoVdO/enW7duiGXywkMDCQ4OJjY2Fh27drFBx98gJOTE6GhoQwZMoR169YB4h+FU6dOkZ2dTeXKlalSpUqez5OcnIxarbZrCw8Pt8kycODAXC6bf/31F3q9noCAAA4cOMD69esBaNGiBcnJyfledzAYDGhv16wB0Gq1GPI5nQwODsbb2xs/Pz/c3d1RKBS88sorAERHR7Ny5UomTpxITEwMnTp1olevXpjNdz8rCxYswGAw8Pvvv9OhQwcE4e4pm0ajISXFsfTMEhISTxaBdZ7Cs2IgAJ8N7oFusOhpkbQm/3gfCXsad69CdrqJtR8fLl1B3CvDkNuHqv+rXi4TsThVqYKuS2cMu3aRcTjv11MQBAaHDuZ80nnOJ5WvmnmCINDeU8ufiWlk3VNrTq5RAZBRhMOV6tWrc/z48QJDY/QDB2E1Gkn55RcCqrsDcHj7lXz7AyidnFGonMDqjMl0d8+iUWlAkJS8xxZTQibxXx0t0cuRoO/w8HB69eqFSqVCo9HQpUuXPGOqioKvr6/tZ1dXV9tm/OrVq3Tu3NlmpRk6dKjNPbGgcYVx/fr1fBWSvXv38swzz+Dh4YFer+fQoUMOuwnGxMQQGBho+71y5crExMQUWd6PP/4Yo9FIvXr1ePrpp23JPK5evcqcOXNsr0elSpVQKBTExoqppP38/FAoFLZ5OnXqxIULF7h06RK7du3Cw8PDzrpV2Otx9epVsrKybEq2Xq/n22+/tSmfK1asYN68efj6+tK/f3+7Z70XnU5n96yRkZEcOnSIAQMGADBo0CD++usvOzff1q1bk5ycTEJCArt27aJRo0Z5zp0farXazgU0NTU1l6J5h3HjxqFUKklJSSEpKQmtVmtzkXVxcaFFixZ07twZlUrFf/7zH2JjY7lw4YLdHHK5nHbt2vH777+zdetWW3taWho6na5IsktISDw5jPzfApr2FZNSfT1hCM51PMAKydscsyo86VQIccejghvxUamkp5RynFhwO2g6Xvx5z6elK8sD4jd7NjJXVxIL2Nd1qCx6unx//PtHJVaxMT7Qh0yLhbVxSXbtCl9XAKw5jmWuvBP6UlCWTaWvD+pn25C8chWuWlGRvH628AQvrjodVrPSLibvXndNSzl111QU3uXJReHtgs+rT5f4GgVhMBjYuHEjcrnc5q6Ynp6OUqnkq6++wsnJCVdXVzIz7yqLcXH3ZAcSivbGDAgIYNWqVUXO4lkYlSpVyjfT5vDhw5k2bRojR45EpVLRrFkzmztqYfJXqFCBq1evUq1aNUBUkipUqFBk+fz9/Vm0aBFWq5VffvmFAQMGkJSUREBAAO+99x5TpkzJNebChQu55FOpVPTq1YvVq1dz+fLlPK14IL4ed2LQ7iUgIAC1Wk1SUlKez96lSxe6dOmCwWDglVdeYfr06SxevDhXv7CwMM6fP2+zlt45FGjatKmtj8ViYfny5bzxxhu5xt/Lnj177OI57+eOMlmrVi1OnDhhU2pPnjxJ7dq18xxz7NgxPvvsMzQaDQAjRozgrbfeAqBOnTo2y7IjmEwmOwXw3Llzdu6bEhISEvfzzIBhZKQkc/z37Zy8sYdgamP46zqWVCMeA2uUtnhlnvYja7F67r+s+egQz899pnSF6TQXYo+L8Xl+T4nF08sRMicnfKdP48bb75D18ss4h4bm6qN31tO/en9+jvyZaU2m4e7sXgqSPhjBrs4EuzqxMT6JoRU8be2eQ0KJ+/wIWeeSRPfNQggKCkKhUHDhwoV89xYA7gMHce3FF8k8GkGDzpU5+Vc0VosVQZb/ftJFoyUnHXJykm1tbko37ih5pZZo6CGRLHkFIFPJUQWoS/SSqeQFyrBu3Trc3d05d+4cERERREREcPbsWRQKBVu2bAHgqaeeYuXKlZjNZpYsWWK34fXx8eHKlSsOv0FHjRrF22+/zY0bN7BarURFRfHXX385NNbHx4eoqKg873Xt2pXIyEh+/PFHcnJySEhI4OTJk4BoefH09ESpVLJ27VoO3+OyUJj8AwcO5L333iMpKYlr167x2Wef5Sob4Ahr1qwhJiYGQRDQ6/UIgoAgCLzwwgvMnz/f5uaZmJjIxo0bC5zrTtzkunXr8lXyBg8ezKZNm9i6dSsWi4Vr165x8eJFAgICaNasGW+//TYZGRmYTCaOHDnC6dOniYuLY/PmzWRmZtqU+/uzZ96hU6dOdiUQli1bxqeffmp7D0VERDBnzhyHLMItW7bEYDDke91h2LBhfPrppyQkJHDhwgW+//57RowYkeecDRs2ZOnSpWRkZJCenk54eLhNMevTpw/Hjh3j999/x2w288UXX+Dn50dwcDApKSksX74cg8GAyWTi559/5s8//6RVq1a2uXfv3k3Hjh0LfS4JCYknm+denECLwc9z+NBmUhqI9bEyjsZjuiWVVSgM70ANgbU8MCRmc+WU4wm6SoyhP4NnCCzvD1FFK/9TFtD17ImyUiVi338/3/3O0JpDAfi/Y//3KEUrFnr5uLM7ycDZ9LufLYWPKwovF7IikwoYeReZTIbJZOLo0aMF9nN7pjnKihVJmDePijXcyc4wcTO6YK8zQSYjJxNMOXdDPZQyJXJB3GOVTxVPUvLKPOHh4YwZMwZ/f3/8/Pzw8/MjICCAUaNG2Tbon3/+OcuWLcPDw4PDhw/TvHlz2/h+/fphMBhwd3enW7duha73+uuv06xZM5555hl0Oh3du3fn2rVrDsk6Y8YM+vbti16vz1VjTafTsX37dhYuXIiXlxcNGza0mdy/+uorJk6ciLu7O7/++iutW7d2WP533nmHGjVqEBoaSrNmzRg0aBDPP/+8Q/Ley8GDB2nQoAFqtZqxY8eyYsUKnJycaN68OZ9++ikjRoxAq9VSv359/v777wLnateuHTdu3MDPz8+WXOZ+qlSpwtq1a3nrrbfQ6XS2MSAqZNevX6dq1ar4+PgwadIkMjMzsVgsfPzxx/j6+uLj40N0dDTvv/9+nvMPHz6cDRs2YDab2bdvH/Hx8bz44ou295Cfnx9jx47lwoULxZakZOzYsbRu3ZqQkBCaN2/OlClTaNeuHSBaWNVqNVevXgXgk08+ISsri0qVKhEYGEh2djaffiq62nh6erJmzRpeffVV9Ho969evZ/369cjlcgRB4Pvvv6dixYp4enry4Ycfsnz5curVqwfAzZs3OXHiBN27dy+WZ5KQkHi8qd9Z/K7YvuYrdMPFZFUWo6WgIRK36fBiHRROck78WQYKdStdYMzt7JMrBoMxo+D+ZQxBqcRvxjtkHjpM4o+L8+xTTV+NzkGd2XBhAznm8lULdoi/BwC7bt11hxQEAZfanmQcv+lQfgrA5il0bz6A+xFkMlTVqpLxzz94qkV34ouH4/PtD2JBdGO62a4YuiAIOCtEl8/SzDH0MAjW8mqDfEBSU1PR6XSkpKTYJYnIysri8uXLVKlSBWfn8lkPQ0LiXiZMmEDz5s3tasw97rzzzjv4+voyYcKEfPtIn3UJCYl7uXH+HMvfnkrNmi2pm9Ucfc9qqJsV3e3/SeTMvhv8seQM7V+oRY0mfqUtDhxdBpteg6ptYMgqkBXsLVXWuNyvP+akJKpu2Ywsj79Pp26eYtCWQUx8eiIv1n2xFCR8cHodOY8V2Fj/buZvU2IWsZ/8i3vvENwaF/7+uXXrFl999RXNmjUr0GPHnJZGZKPGONety1aPlwEY/03bfPv/Fb6I2OSvqdKkEo0bbbC1P7N4INFnR/BBrWsMHvFK4Q/5iMhPl7kfyZInIfGYMn/+/CdKwQOxpEZBCp6EhITE/fiH1KBq/UZcPPcvADlx5csKVJqENhU35r//mDvGvFR4eih0/R9c+hNWlr+/fxU+/pic+Hhuzp+f5/3aXrV5rvJz/HDiB3Is5cua18Vbx4GUdKKz7hY0V3g44xzqgWF/jENhRZ6enqjVaiIiIgrsJ9doUPj5keWgp5KbTo/ZKCc93T57qVIupi4pr/YwScmTkJCQkJCQeKJpN3osRksWycZ4bkVfLW1xyg2CTKDlQNEyc2ynY6EdJU6D56H9uxC5HX6bWdrSFAmnqlXwGDqUWz8sJH3//jz7jKozigxTBpsvbn7E0j0cfX1Fl83192XZVDerQM6NdIyF1LO7g7e3N5mZmXYJB/Oi4m1Fua5YLo/EG+n59tX5+SMIViyWLLt22e0EeBbKZ3ZNScmTkJCQkJCQeKLRevnQd/ps5AoFV08e4+/Vy0pbpHJD3Wcr4Rngxt6fz5OVXkasS83GQ4MX4O8v4K9PSluaIuHzxuuoqlUj7oMPsVpyx4fW8aqDWqnmQOyBUpDuwfFUKRjg58531xPIvue5nEL0yD2cyTie4NA8PXv2BMhVVul+nGvXwvmpulSMWIFcIePS0fzj8pxcXDGmKQGwWO7W4csyi4qhZMmTkJCQkJCQkCinBD1VH3f/ijirNfyzdgUrZ76BxeJYQognnc6viNmRt3xdPIm8HhpBgG6fQ92BsGsuGApOvFGWEGQy/N+dRXZkJEn5ZMDuENSBiPiIRytYMTC2kg/xRhN/3peAxbmGO1mnb2F1IMOJXq/H29ub8+cLLgwvCAL6Pn3J2v83ZpOFA7/kXwdT6+2LOUdUiSyWuxbCAHWA2FaoVGUTScmTkJCQkJCQkAAshhwC5TWQyRVEnz1N+JuTSlukcoHO25VqT3sTeymFm9fTCh/wKBAE6PgBOOthzSjIwypWVnFt2BB9/34kfPElOdHRue7XcK9BtCG63Cl6oW7O1HRzzlUY3TXMG3OqkewLyQ7NU6dOHU6fPk1OTsGWY02H5xAUCoI8xRIKlnyUSI2nF6ZMMf4uJ+eu2+idmLwcs+SuKSEhISEhISFRbnEKEjPVPd/nYyrXfZqEK5c5vfuPUpaqfNCsTzAA6z49UsqS3IObJ/T8GqL2wIeVSluaIuHzxhvI9Dpi/vsmVrO9Rblr1a4AzDkwpzREe2AEQaCXjzubEpK5mplta1dV0SLTqjAcuOHQPKGhoZhMJltZpvxQuLuj6dAB75ObAEiMyTsuT65QYL2tyJnNd2vqpRnFn8urPV9S8iQkJCQkJCQkAG3HIAAyDsXR9qkRAGz7+jP+/WVtKUpVPtB5uxBU14ucLHPZKJB+h9AuENwejAbY9t/SlsZh5BoNFT78kIxDh0hasdLuns5Jx9inxnI28Sz7Y/JO0FJWGR7gCcDK2ERbmyAIaFpVJOtsIpaMwuM6fXx80Gg0hcblAej79cXlwiGAAq3MSoWYGCYrK8bWFqD2BUBeTsuhS0qehISEhISEhASg9HHFd3J9ADL2xvLS/y3GydWN3ct+5MCGn0tZurJP+xfEVIabvzrmUHzVI2PoGqj/PBz4Bg4tKm1pHMatcWPcnnmGxCVLsGTZZ34c+9RYqumqMXNf+cog6qFU0NFLyx+37BUu16e8wWIl4+TNQucQBIFq1ao5pOS5NmmCs487bkI60eeS8u1nNoqFz3NMKbY2xZ0SCoWuUjaRlDwJCeCVV17h448/LpG5//e//zFnTvlyqXhYdu7cSb9+/UpbDAkJCYkio/R1Q9MuEEElQ+PhxYiPvwJg74qfWDBmCDnZWYXM8OTi5KKg7YhQAA5tiypdYe5FEKD7l+DmA7/NgsT8k3CUNXzfmo7pxg0SvvjSrl0QBLpU7cKN9BvczCxcMSpLdPXWE5GWQYLxrtVOrlHhFKwn44hjSXKCg4NJSEggJSWlwH6CTIamfXtckq8Rcz45335qXQUAzKa7Lp0qmZhxEym7pkRJERQUxN69ex94fFRUFAqFotjkEQSB69evF9t8ZYFvvvmGN954o9jnzc7O5ssvv2T8+PF27fv27UMQBObNm2fXvmvXLmQyGWq1Go1GQ1hYGBs3bizyuh9++CHe3t54eHjwxhtv5Jv+12q18tZbb+Hv74+7uzvdu3cnJuauq8L69eupWbMmarWa9u3bc+1a7jpIKSkp+Pn50b59e1tbu3btuHjxIscdLEQqISEhUdawGi2kbI9C6+3D5OUbCQitRWZaKvNG9Cu3KdUfBTWbi5vlg5suk5FqLKT3I0QQ4MU/QOkCi7uCMf+6aWUJp6pV8Z70GomLF5O6Y4fdvf7V+6OQKfj++PelJN2D8ayHBqUgsO7+BCz1fTFGpWJKyc5n5F2qVq2KIAhcvHix0L76fn1xjz9B6s0sjFmmPPuo9V634/LufraVclHJs0p18iQkJO5n48aNNGzYEL1eb9ceHh6Ou7s74XmkR65atSoGg4GUlBTGjh3LoEGDSExMzNUvP7Zu3crXX3/NP//8w+nTp9m2bRuLFuXtnrJu3TqWLl3KgQMHiIuLw9PTk6lTpwIQGRnJyJEjWbhwIcnJybRp04bBgwfnmmPmzJkEBwfnah80aBALFy50WG4JCQmJsoK6mT8A2ReTAZDJ5Qx692Pqtu8EwMqZ5Se2qzR4bpTotvln+NlSluQ+9JVgyCrISoFVw8FUhpTQAvAYNQpNx47ceHMa2ZfuWiHdnd1p4t+E5WeXYzSXj2cB8FYp6eCl5cNLsXbtLqEeoBDIPFZ4zTxXV1cqVKjgkJLnVL063q6iUn/ruiHPPnKlqNBlZEbZ2pR3LHnltIiCpOSVM0aOHMnEiRNp164dGo2GDh062BSAhIQEOnfujF6vx8vLy7Yh79ChA2azGbVajVqt5urVqxw4cIBGjRqh1WqpXLkyX331lW2NWbNmMXToUPr3749Go6FJkyZcvnzZNhdAjRo1UKvV7NmzJ5eMbdq0YcaMGTRo0AC1Ws3o0aO5ceMGbdu2RavV0rdvX7Kz757SrFmzhtq1a+Ph4UGPHj2Ij48v8Hnyawfo06cPPj4+eHh40L9/fzvlaNOmTQQHB+Ph4cG7775rZyEdOXIk77//PgCLFy+mbdu2jB07Fq1WS61atThy5G62sAMHDhAWFoZWq+WVV16hdevWeSprANu3b6dly5Z2bTk5OaxevZp58+Zx5MgRIiMj8xwrk8kYOXIkWVlZXLp0Kc8+ebF06VJefvllqlWrhp+fH1OnTmXJkiV59o2KiqJly5YEBgaiUqkYMGAAp0+fBmDHjh20a9eO5s2bo1AomDZtGocPH7bzgT958iT79u1j1KhRueZu1aoV27dvd1huCQkJibKCXK1CGaDGeC2NnPgMW3v7MePReHkTc+40Fw8fLEUJyzbVG/vx9HOBRB2/yYldZczzp0I9GLRMzLi5fACUg1qIgiDgP2cOcm8vYmfNsrMkj39K9BRafW51aYn3QLTx0JBpsfB30t3YPJmLApdanqQfinPIWh4cHMz58+cxmfK2zt1BEAR8m9ZEZsnhRmTerq2eFQMR5FbkMhdbm1J22wuunBruJSWvHLJ69Wo+//xzEhISMJvNfPml6Kf9v//9jypVqnDz5k2io6N59dVXAXGzLpfLMRgMGAwGAgMDUSqVfPvttyQnJ7N27Vrefvttjh49altj/fr1jBs3jqSkJGrUqMGsWbNscwGcO3cOg8GQS4G5w9q1a9mwYQMXLlxgy5Yt9OjRg6+++oro6GgiIyNZvnw5AAcPHmTSpEmsXLmSuLg4QkNDGTduXIHPk187iEre5cuXuXz5MmlpacyePRuA+Ph4hgwZwvz584mNjSUrK4voPGrP3GHPnj20atWKpKQk+vTpw+TJkwHR/bJPnz5MmjSJW7duUbduXfbt25fvPCdOnCAkJMSubdu2bcjlcgYPHlyggmg2m/nxxx9xc3MjODiYq1evotfr873upBI+ffo0devWtc0TFhbGqVOn8lyjX79+REZGcvnyZTIzM1mxYoVNkQdyfclarVa7uSZOnMj//vc/ZLLcXyWhoaFERkbaKfQSEhIS5QXd7UybWWfuZooUBIEXPv8GJ1c3Nnw8m6z0vK0CEtC0dzW0Xs7sXhmJyVjGFKmqbaDHV3DpT1jWDzKTS1uiQpGr3fCbMYOMgwdJ/eUXW3uYdxg1PWqy9fLWUpSu6Az0E7NZ/hKfbNfu1tAPU3wGOflY3O4lNDQUo9FYaCkFAO8XnsciU7L/l7z7uundAYiLv/s6KmRyoNzqeJKSVxBGo5GYmJgSvYzGopvX+/fvT926dXF2dqZv374cO3YMAKVSyY0bN7h27RpOTk40b9483znq169P/fr1kclkNGzYkC5duvD333/b7rdr145nn30WhULBoEGDbGs4yujRo6lUqRJ+fn60bt2aZs2aUbt2bTQaDV26dLHNt2jRIsaNG0dYWBhKpZJ33nmHjRs3YjKZ8n2egp5z2LBhuLm5odPpmDx5ss1St3XrVho1akSnTp1QqVTMmDEDQcjfxzo0NJTBgwcjl8sZMmSITd79+/fj7OzM6NGjUSqVjBs3Dn9//3znSU5ORq1W27WFh4fTt29f5HI5gwYNYtmyZVIuE48AAM3OSURBVHb3L1++jF6vx8fHh59++om1a9ei1+sJDAwkOTk53yswMBAAg8GAVqu1zafVajEY8v6y9PPzo3HjxlStWhWNRsOpU6eYMWMGAO3bt+f3339n9+7dGI1G3nvvPYxGI+nposvDypUr8fHxyVfR12g0AIUGRUtISEiURZyri5u+9ENxdu1KlROdJ0wB4OtRg4j858Fj5h9nZDKBNkPFJCybviraHuKR8NQg6L8YLv4BP7SDnLKfUEf9zDNou3Qm7uNPMN/zt3V02GhO3DzByrMrCxhdtlDJZHTz1vFTzC3M9xwoOwXrketUpB+KLWC0iK+vL66urg65bCorVMAn+xKyfKreyRQKspJUWO5xe1XYEq8UOn2ZpPiycTyG3Lx5k++++65E13jppZeoUKFCkcb4+vrafnZ1dbVt4F9//XXeeecdWrdujaurK6+//jqjR4/Oc45Tp04xadIkIiIiMBqNZGVlERoaWugajuLj42P72cXFJdfvt26JJ6NXr15l6dKldpktFQoFsbGx+T5Pfu0mk4n//Oc/rF+/nqSkJKxWK15eXgDExsZSsWJFOxk8PT3zlT+/54+NjSUgIMCu7/2/34tOp7N77VJTU9m0aZPNjbFv376MHz+effv22ZTVKlWqOJQWOD/UajWpqal2a96vaN7h3Xff5fTp08THx6NWq5k2bRrPP/8869atIzQ0lB9//JFx48YRGxvL0KFDqVWrFhUrViQ9PZ2ZM2fy+++/5ytHWprognGvwikhISFR3rBk594UVmvQhKoNGnPp8EE2ff4h7UaPo16HLqUgXdmmUk0Pghv6cOFQPMd2XuOpdmWsIHnt3pB8FX6bAb9MgL4/lLZEheLz3ze51KUL8V98gf9MsXxCh8od8HLxIvxMOINCB5WyhI4ztpIPmxNS2J2YxrOe4l5BkAm41vfFsC8GXdeqyFTyfMfLZDJCQkI4f/48zz33XKHrBaoTic+pSmq8Aa2P/b5I4+GJ+boMhczb1qa8XULBUk61PEnJKwAvLy9eeumlEl+juNBqtXz55Zd8+eWX/PPPP7Rt25Znn30WuTz3B2TChAm0bNmSX375BRcXFwYPHlwq2cICAgJ47733mDJlSp7383qeqlWr5tm+Z88edu3axb59+wgICODXX3/l5ZdfBkSL1W+//WabNysry6ZoFgU/P79cbp4FuX2GhYVx/vx52+9r1qwhKyuLAQMG2CyJFouF8PDwAi2vICrEtWrVyvf+6dOnCQwMpFatWpw4cYIePXoAYtxc7dq18xxz7NgxBg0ahLe3+KU2ZswYnnnmGdv9fv362UohJCcns3z5curUqcP58+e5fPkyjRo1AiAzM5OsrCxq1KjBuXPnANGlNyQkBGdn5wKfS0JCQqKsom4RgGFvNFaTBUFh7/zU+40ZGBJv8e3Y59m5cAGCIPDUc51LSdKyy3Mv1CL+Shp7fz6PXzUdvkFl7ODvmdfASQubJ4FXdWhd/Jm2ixOlrw/er00k7oMPcR84EOfQUARBYHDoYL6O+JprqdeopC1jynQ+1Ne6UtlZxaaEZJuSB+DW0Je0P6+Rvj8GTeuCn6VKlSocO3aMpKQk3N3dC+zr3zQU9sDJRTto/mYfu3uuOneykpzI9rmb8fNO4hWhnCp5krtmAahUKipUqFCil0qlKjZ5t2zZwqVLl7Bareh0OgRBQC6X4+XlhcVisSt7kJaWhl6vx9nZmT179rBlyxaH1/Hx8SEqKqpYZH7hhReYP3++zR0yMTHRVjIgv+fJrz0tLQ1nZ2fc3d25efMmn376qW2dzp07c/DgQXbs2EFOTg7vvffeAym1zZo1IzMzkx9//BGTycQ333zDjRs38u3fqVMnu/IX4eHhTJo0iWPHjhEREUFERAQ//vgjq1evJicnJ995AAIDA21xlXldd9w1hw0bxrfffsulS5eIi4vjs88+Y8SIEXnO2bBhQ1avXk1iYiJGo5FFixYRFhZmu3/48GEsFgsJCQm89NJLjBo1Cg8PD+rUqcPVq1dtzzB79myaNGlil4hn9+7ddOzY0aHXVUJCQqIsIqjEbVL2ldQ876s9PHlpwWJULi78/sPXfPvKCNKT8y+4/CQik8vo+3oDANZ8eKiUpcmHBiPh6WHw5xz4e16h3Usb9yFDUFaqxLWx4zAbxBCK4bWGo3fSs/Bk+clqLQgC3Xz0bL+Zgslyd0+m8BSTn6Q4UGsxKCgIwC7kKD8qDuoKwIkot1z3NJ6eCAKYhbuZPe8oeVIJBYlSJzIykmeffRaNRkPXrl354osvqFy5Mm5ubrz55pvUq1fPlqDjo48+4uuvv0ar1fLFF1/YrD6OMGPGDPr27Yter3+o+n0AzZs359NPP2XEiBFotVrq169v+6Dm9zz5tY8YMQJ3d3f+n737Dm+yagM4/HuTNG3TtOkelNGyKbSssrcge8gsG2TIEFRAFFEZnywVUUGGMkQpe4sMUTayR1llQ1ktdI90t8n3RyQSOsGWtHru68oFfdd5kjSQ5z3nPMfNzY0mTZrQtm1bYztubm4EBgYyatQo3NzcUCqVuLm5YWlp+ULxWlpasnnzZr766iscHR0JCgqiTp06OV6nS5cunDp1iri4OB4+fMiRI0d45513cHd3Nz769OmDlZUVu3fvfvkX8hkdOnRg1KhR1K1bl8qVK9OmTRuT6pfPVkX98MMP8fLyokqVKri5uXHx4kWTZQ9Gjx6NnZ0dVatWpUyZMsZF3RUKhclz0Gg0KJVKk2G569atY9iwYQXynARBEMxBXc8w5zrpfM4LNNs6OTN0/jK8a9RGGxPN1s//96rCKzZUdkqqtzL0yDy5m33CbFaSBJ3mQ7mW8PunsH+muSPKlaRQ4PnVV2SEhRE+90sArBXWDKo6iM03N/MgIeuatkVVGyc7otMzuahNMtlu19YLyUKGLin3G+BPl6iKicn75opMLsdemYQyNT7LjX4LSysy0+RI+r87X4zDNXXFsydP0v/HVvSMj49Ho9EQFxdnMlcoJSWFu3fv4u3tLYaX/QckJiZib2/PvXv3XnhO5LP0ej0lS5Zk48aNOQ63nDt3LmlpaUyePPml2ylu9u3bx+LFi9m0aZO5Q8lCfNYFQXgRT749h0UJNY49K+Z57G9L5nP5wF5eGzKSmm06voLoio/MTB0/f3SMzAwdw+Y1NXc42dPrYXVPuPU7TLwDNjnP3S8KIuYvIHLRIrw2bsDa15e41Dgar2tM1/Jd+V+j4nGzIU2nw/fPK/TxcGRa+b9rHGQmpBE2+yT2ncqhbpD797Tff/+dCxcuMGHChFyL6gGcWXGEUydSGDDUHtt6dUz2rZvXAhe/cFq2MlQRX3Z+IzPWqxjvdZt3Rr7zks+w4OWUyzxP9OQJ/xm//fYbCQkJJCUl8eGHH1KzZs2XSvAOHjxIZGQkaWlpfP7550iShL+/f47Hv//++/+pBA8M1VmLYoInCILwoiSL/H9Vav3WGAD2r1iCLrOILRtgZnK5DJ/GJUhNyuD2uZx7Rs1KkqD9X4Xg1gaYN5Z8cBo2FIW7Ow/ffRddWhoaSw3DfYez9dZWrkdfN3d4+aKUyWjvomF3hGklbrmtEsvyDiRdzHthdA8PD7RarbEmQG5KN6+GXiYnZMfxLPvkMluQpaDTGdbdS/+r0qZOLxZDF4Qi7eDBg5QpUwYPDw+Cg4NzXJ8uL5cuXcLHxwcnJye2bNnCli1bCnRupSAIglA8STIZ/p0MBR3WT//IzNEUPf7tvbCwkrPnh8toY4rokgWOZQ3z8x6ehn1FuzdMplJRcv63ZDwJ58nMWQCMqD4Cdxt3frryk5mjy78mDrbcS0njVKxpJXdVdRfS7saTEZ3770rFioZe9vzUi3DxskdJKvfP3Ef/3I0YSxtDocKMDEPC6awyFEfMEIVXBKFomz17NtHR0cTFxbF//37jPwovauzYsYSHh5OQkMCpU6eoW7duAUcqCIIgFBV6PSSdfUL6k8R8Hd+s/xCqNm9F6PVgrh8Xa+g9S66Q0XVCLQAOr7th5mhy0fk7qNAGjnwFm4ebO5pcWfv54Tp+PLHr15N6+zaWcku6VejGjjs7CAoPMnd4+dLeWQPA1/dM16S0rmoYLpt4Kvc185RKJeXKlSMyMjLPtiSZhIuzjFj78iSdPWuyTyEZhovqdKmGn2WGOXn6HNbWK+pEkicIgiAIgpADm9qGglJRq67m+5w2I9+lfJ36/P7DAiLuhxRSZMWTSylbKtZz4+6FSEJvxpo7nOxJEgSsMvz90gb481vzxpMHh94BSJaWPP5sBnq9nqHVhuJl58W8s/PMHVq+WMlltHPWcDMpxaQgisxKARIkHHyAPo/iJ0/XGM6rUjlAmSYVibfzJvYX08rylraGqp5paYYlthQyQ89e8RysKZI8QRAEQRCEHKnrl0CylJMRmZznsLGnJEmi7ehx2Ng78PPEMSRE5d3D8F/SrHclrG0t+P3HK+YOJWcKS5gSDZrShsXSE198bd1XRWZjg+dXc0k6cYKoZctQypUEVArgfPh5Vl9dbe7w8mVYSWcepqSzLzrBZLvzMMOyTqm3YnM939vbG4AHD/KuLOpW1h6dzIKQy6bvqaWlYc3gzMxk4O+evMxiWqNSJHmCIAiCIAi5sGtpWIdUezw03+dYqmzo/vFnWKpsWPPx+MIKrVhSWivwaVwCbXQqYbfj8j7BXGRyGGRYu5cf24Gu6A7bU7dsibJcOaIWL0GXnEzfKn1RKVR8efpLEtIS8r6AmTW0V1NBZckPD0yL8lh6G4ZyRq64nOv5Hh4eWFhY5Kv4ilNJWwDik2SkP/l7iKilpWEO3t/DMw3JXYYYrikIgiAIgvDvY9u0JApXFbzgell2zi5Ub90ebUw0exZ9k2Vtrv8y//Ze2NhbcnhdEa8C6VgW2syGqFvwS9Epo/88SZJwnzoFXUoKj8aNRybJ2NplK5IksTBoobnDy5MkSYwq7crhGC2PUtL+3i6TkKn+mhuXkfPASZlMhoeHB7dv386zLUtrBU4e1mhtSpJ4/O8qm1YqQ0KZnPgQAKXMsAZycf3YiiRPEARBEAQhD/oMHdo/Q8mMT8v74Gc0CuiPZ2Ufrhz6g98WfysSvb8oLOTUfL00kQ+0HNt8y9zh5K7BaKj7FgQFwvXd5o4mRzZ162LToAHagwfJTEighLoE7b3bs/rqatIz856rZm4dnDUoJNgdadq769inMgDJwbkPmfXx8SEyMpKUlLyHVTuX0aB1Kk/SM0mepbWh0EtmhuEzaik3VE7XFdNZeSLJ+w+qWrUqx49nXR/keSNHjuSLL74o9HgePXpEjRo10OmK54foZQ0YMIBff/3V3GEIgiAI+WBZxrDocNSa/BdgAZDJ5PSe/gXNBw7nyqE/OLz6x8IIr1jye60k9m4qzv9+n0fXY8wdTu5az4DSDWBtbwj+xdzR5Mh9yqdIlpaETZkCQEAlw3p/88/PN2dY+aKxUPCaox2bHpv+LlhVcEDuaEXM5pu5nv+0avqdO3fybKu0jyNJCnvCdx985saLBQDJWsMcWrmx8ErxvDEjkrxipFKlStSqVeuFzpk2bRrDhg0z2XblyhUaNGiQ57lLlizhgw8+eKH2XsacOXMYNWoUMpnpr2NOz9fLywuVSoVarcbDw4N3332XjIyMF2rz9OnT+Pn5oVKpaNasGffu3cvx2CNHjlC7dm1sbW2pW7culy5dMu4bOXIkarXa+FAqlfj6+hr33759m0aNGqFSqahVqxYXLlww7pswYQJTp059obgFQRAE83AMqARARnjSS51fu0MXkCTO7NjCw2tFuODIKyRJEm+Mr4nSSs62r8+TkVaE5z7JFTDwFyjfCjYMgDMrzB1RtpRlyuD+6Sck7N5DdOBq/Fz8aFSiEQceHDB3aPnS18OJoIQkguJNP2cKRyv0qZnoUnP+vufo6IhGo+H+/ft5tuP6102bOE05Um8akkeNizuZ6RLp6fEAWMifFl55qadidiLJKyZOnTpFaGgoly9f5urVF7uLWBheNKnKSWpqKuvWraNnz54m2/N6vnv37kWr1XL48GE2bNjA0qVLX6jNbt268c477xAdHU3jxo3p379/tsdGR0fzxhtv8MknnxAbG8vbb79Nly5djCV6lyxZglarNT5atmxJ9+7djef36dOHVq1aER0dzfDhw+natavxtatRowZJSUmcP38+37ELgiAI5mNZToMuKYPMxJcb+tbtQ8ONvfVTP+T70YPJLKD/S4szG40lrw+tCsCuJZfyONrMFErovQZ8usAf0yEp2twRZcu+Rw/ULVvyZMYM9OnpdCjbgXvx93icmPt6c0VBSyc77BQy9kXFm2x36F4BgKSgiFzP9/LyIigoKM92NK7WWKstSLAvS+IRw3qWSisrdGkyUpIMPYkKyZDkieGaQqEKDAykS5cuvP7666xatcpknyRJLF68GG9vb5ydnZk9ezYABw8eZNasWfz000+o1WratWsHGD4AR48e5cGDB9ja2pKU9Pfdkp9++olWrVoBMHjwYGbMmAHAypUradGiBSNGjECj0fDjjz+a7H96zNNzIyIiaNeuHfb29jg7O9OnT59sn9fJkycpUaIEjo6O+X6+z6pQoQJNmjThypX83xU9ePAglpaWDBs2DCsrKz7++GPOnj3L3bt3sxx77NgxypQpQ9euXZHL5QwaNAi5XM6hQ4eyHPv48WP++OMPBgwYAMD169cJDg5m8uTJWFlZMWrUKHQ6HUeOHDGe07RpU/bs2ZPv2AVBEATzUTc0LJacWwGI3HjX9GfE4p9QaezRRkWy67uv0P/Hpipkx8vXmca9KvAgOJoH14pm4mSksIR2XxoqbR6YZe5ocuQ0dAgAUSt+xN/NH4CfrvxkzpDyxUIm0cBezcHnllJQOFhh4WFD8oXckzxHR0dSUlJITU3N9ThJknAupSalREUS//wTACu1LXqdRHqmoYqu/K8RZqkUz5sxIskrBjIyMli/fj0BAQH07t2bNWvWZJm4vX//fi5dusTBgweZPn06t2/fpnnz5kyePJlBgwah1WrZvdt0snCpUqXw8/Nj586/F4N82k52jhw5QoMGDYiJicmx5+upr776Cm9vbyIjI3n06BFjx47N9rhLly5RoUKFF36+T12/fp0jR45Qo0YNADp27Ii9vX22jzlz5gAQHByMn5+f8RoqlYpy5crlmCg+37Zer8/22LVr11K3bl3KlStnbKdixYpYWloaj/H19TU5t3Llyly8eDHbdgVBEISiRVIavjZFrQp+6WuoHZ0Y9UMgbUa+y43jR1g6dmhBhVesVW1SApWdkl++Ccpz4Wuzs3WDFh/B6aVwvGhWrlTVqoXDwAFEfP01TrE6OpfrzPbb20nXFf0CLK2c7DiXkEhEmmms6saepN6JIyMm58IqlSsbirQEB+f9GXXyVJNg6UbS+fPo09JQWlsjU+rISDb8/sklw+ddri+e6VLxjPoVycxMJj7hcqE+ni64mJu9e/eSlpZGmzZteOONN3jy5IlJbxDApEmTUKvVVKtWDT8/P5N5Y7kJCAhgw4YNAMTExHDo0CG6deuW7bHlypVj8ODByGQyrK2tc72uhYUFYWFhPHjwAEtLSxo2bJjtcbGxsajV6hd+vk97Cdu1a8fgwYMZMsRwx+rXX38lNjY228ekSZMA0Gq12NnZmVzPzs4OrVabJb4GDRoQEhLCxo0bSU9PZ/ny5dy5c4fExMQsx65atcrYi5ffdmxtbYmLK8JrBAmCIAhGT9fsSn+oJfHMPxv6Vq3F61So25CEyAgWDO5Jej4qAv6bKSzk1O1kWND6z01FvNomQL1Rhj9/mwxBa80bSw6cR44ECwtC+vRmgM8AEtISmH+u6Bdg6eBijxyJDc8VYLGu6gRyieRLkTme6+rqCpCvqTB6ICnNgvQ0PclXriBXWJASbUl6uuF72tPF0Iv4LYccKcwdQFGWmHSb06e7FGobdepsx862Wq7HBAYG8sYbb6BUKlEqlbRv357AwECaNm1qPMbNzc34d5VKlW3Ckp2ePXvy8ccfk5iYyJYtW2jatClOTk7ZHluyZMl8XRNg4sSJfPrppzRr1gyVSsXEiRMZOjTr3UqNRpMl1vw83927d9O4ceN8x/MstVpNfLzpWO/4+PgsySaAk5MT27Zt4/3332fkyJG0bt2aVq1aZXktrly5QnBwsEkvaH7aSUhIQKPRvNTzEARBEF4tSSHDvmt5YrfeImbTTeQaS6wqOLz09Tq+9yE7F8zlxvEj7F/5A21GFt112F4Fn8YluHIklAv7H1C9VSlsHa3MHVLOZDL4+DF8VQm2jQSn8lCqjrmjMqFwdMRp2FCiFi+hzL1k3qz6JmuvraVrha6U1ZQ1d3g5crRQ8JqTLevDonm7tKtxu8xKgbWPE0nnw7Ftmv13UkmSqFSpUr4WRS9fy5ULfzwg0caD8Dmf47V+Hbp0GXpSjdeC4ltdUyR5ubBRlaNOne2F3kZutFot27dvRy6XG4dbJiYmYmFhwYIFC0yGAmbn6S9oTjw8PPD392fHjh1s2LAhx7lz2V3LxsaG5OS/eyKfPHli/LudnR3ffvst3377LSdOnOC1116jRYsWlC1r+o+Kr6+vSdGUf/p827Vrl6XX76nJkyczefJkfHx8WLRokXF7cnIyt2/fpmrVqtme16xZM06fPg0YhpKWL1+eOnVM/yFftWoVHTp0wMHh7//sfXx8uHnzJqmpqca4L1++zPjx443HXL9+3aQapyAIglC0qet5YFXRgcefnyZ6/XVKfFL/pa8lk8vp9N6HbE1L5fKBvTy+dZ2BX36X5//d/1aSJNF6aFVWTz3B8S23aD0s95vgZmdhDe/fhO+bQmA3GH8VLLPeMDYn55Ej0f7xB/cGDGTY3l/59c6vDP9tOH/0/KNI/54FuDvy5uUQbiSmUNHm72RfVd2FqMCrpEckYeGiyvbcp9/FIiMjcXZ2zrENJ0/DexVvWwZ3mWFUldJSQ1q6oZf+6XBNN00RvtmQCzFcMxdyuTV2ttUK9SGX5z7sccuWLTg4OHD9+nWCgoIICgri2rVrKBQKk7l0OXF1deXevXu5Lr7au3dvFi1axNGjR3njjTfy/fpUr16dnTt3Eh8fz507d1i+fLlx386dO7lz5w56vR6NRoMkScjl8izXqF+/PqGhocTExBTI8929e7dJtctnH5MnTwagefPmJCcns2LFClJTU5k5cya1a9fG29s722ueP3+ejIwM4uLimDBhAvXq1aNKlSrG/TqdjtWrVzNw4ECT8ypVqkSVKlWYM2cOqamp/PDDD0iSRJMmTYzHHD58mDZt2uT5vARBEISiQ+FghdzeEkmZ9f+1l9HxnQ+wc3El8sE9fhg9+D+9YLq9m4qmvSty80w4h9fm3RtjdgpL6LLIUIjlp46GP4sQmaUlLu++CxkZxM38kvH+4wlPDudCxIW8TzajZo52KCWJ/c9V2bSq5ICklJN8Mechm82bNwcgJCQk1zYsLA2f35sVepL81zQnuVJCUhjmAj5d2ktRTLOlYhr2f0dgYCDDhg3Dw8MDd3d33N3d8fT0ZMiQIQQGBuZ5fo8ePdBqtTg4ONCxY8dsj+nevTvHjx/ntddew97ePt+xDRgwgHLlylGyZEn69Olj0gt448YNWrRoga2tLR06dOCbb76hTJkyWa5haWlJQEAAGzduLJDnmx+WlpZs3bqVb775Bnt7ew4fPmxy7ZEjRzJy5Ejjz7NmzcLR0REvLy+0Wi3Lli0zud7BgwdJTk6mffv2Wdpas2YNe/fuxd7ensWLF7NlyxYUCkMH+oULF7CysqJ27doF8rwEQRCEV8e6qhOZ0SmkXP/n1SAtrKwY/t0KfFu2QRsdxbzenbh7/kwBRFk8VWvmiZu3HZcOPSL4z1Bzh5O3krWh6xIIPQ97Jpk7mixsW7XCefRotPv20eCUFm+NN7NPzS7SNxNUchnNHW35NSLWZLtkIcfax5GkizlX2bSysqJEiRLcupX33E4HDxuUCh1kZJBy4wZp8dZY2BhGqUn8NVyz6L5MuZL0RfkdLgTx8fFoNBri4uJMimKkpKRw9+5dvL29sbIqnt2yxdXDhw/p1KkTZ8+ezbIg+r/ZgAEDCAgIyDH5FgqH+KwLglAQki5GEL3mGjIbC0p8+vJDNp+3Y95sbpw0lHRv0KMPDXv2K7BrFye6TB2bvzxHeEg8I+Y3Q1FAvaaFav9MOPwFlG4IQ3bnffwrpM/MJKRXAGkPH/Lou3G8GzyDGY1m0KV84dae+Ce2PIlhdPA9/qxXmXKqv/+/Tg6OIurnYNzG1cLCzSbbcw8cOMCJEyf48MMPc/1ueengQ45suEGzA+9Q8os57A+bh7rMfV5vc4uHcZE0nn2SkT6XmDSw6CTvOeUyz/vvfKMWiqySJUty/vz5/1SCB4Z5fCLBEwRBKJ5Ufi7I7S3RJaaTGZf7mlwvotP4jxjz43pcvctxfNNajqxZWWDXLk5kchmNexqWWNq7PP9r4ZpVC8O0EO4fgwenzRvLcyS5nJLzvwWdDq85G3G1dGZ3SNFKRJ/X1MEWgJNxphXNrSo6IFnJScplzTwvLy9SU1N59OhRrm3Yu6vQ6yDDuxrJFy7g4lkTSa5Hr9cb5+TpxWLogiAIgiAI/x2OvSoCEDb7FGmP8lfVOj8sVTb0mjILpbWKU9s3EXIx73Lw/0Ye5TTUbF2auxciuXU23Nzh5E2SYOJtsC0Bq3tAZNFaCsLC05NSixeRev0600+U5M9Hf/JbyG/mDitHzkoFdTU2/PIk1mS7pJBhXcWJ5CtROZ77tAp6XkmextlQGyNK70xMYCAWSnskGaSlxv1dXVNfdAvU5EYkeYIgCIIgCC/Bsqw96saeAIQvOE/CkYcFd22VDUPnG6pP//7Dd//ZdfT823tho1Hy29LLXDpYcK9vobFxNszPS4mFH9tCEZsVpfL3x2XM2zjtOUPHmDKsubqmSM/Na+es4XiclsQM04I2VlUcyXiSREZ09p8LCwsLAPbs2ZPr9W2dDMNAoz1qASDLNNRNiIu8i0z05AmCIAiCIPw32Xcsi8vo6gDE7bxLZnzBDd1U2Wl48+vvSYqP5cBPPxTYdYsTpZWCPlPrYetoxeF1Nzj32z1zh5S3ss2g50+QGAEbB0FakrkjMuE4eDDKcuXotzGSq/fPsick90TInNq7aEjV6TkQnWCy3aqSg2Fh9Ks59+b5+fkBkJSU8+svSRKeFe1R+RqW0bL+a+h1SlL0M0le8SSSPEEQBEEQhH/AsrQdjn0rAxA26xT6AizH51jCkxYDh3Np/17WfjoRXWbRKtH/KliqLOg20dDTcnzrbU7tuGPmiPKh6hvQahoEb4dd75s7GhMyKytKLliARZqOSWdKMOvkLFIzC+7mREEqY22Jj40VuyPjTLbLLBVYlrEj+XLOSZ6/vz8A9+7lfmPAsYSa2DjDZzZ9zzEAtPEhyKTiXV1TJHmCIAiCIAj/kMrPBYWLYX5PWkh8Hke/mGqvvY53TX9Cb1zl675dyMxIL9DrFwdqBytGzG9GpfrunN4ZQkgu66QVGY3HQeuZELQafh1n7mhMWJb1xnnEW1Q58gDr0Bj+d/x/5g4pR40c1Ox5LskDULhYkxYShz4z++GUpUqVQqVS5Znk2bupiHmchE6SIV0yDAnWxjxG/ldBQF0x7csTSZ4gCIIgCEIBcBnuC0DCoQcFel2ZTE63SdPwbdkGgG/6dSUtJblA2ygOFEo5zfpWAmDnootkpBWDXs36o8GzNpxZAYe/NHc0Jhz69UPh4sJnGxXsubadUG3RXJPQR21NYqaO64mm8+9UtdxAT45VNiVJwt3dnYcPc5/LaWFpSIe06pJYJBoSRr0sBdlfaZI2M+2fPgWzEEmeIAiCIAhCAZDbWYJCIuV6TIEO2Xyq9VtjaTH4LQAWDOpJxP2QAm+jqLNQyun8Xg0ANn951rzB5IdMBkN+g6pd4eDnEHbB3BEZyaytKfndAuxiUhnxh5zFFxabO6RsdXF1wFImsfO5hdGVpW2RO1qReCIsx3MrVqzIo0ePSE7O+aaIRzl7ADJ7v4NML6HXQWr6A/4arYm1peafPgWzEEleMXX//n3s7e2NPzdv3pzAwMACu/7gwYOZMWNGgVzryJEjVK9evUCu9bxHjx5Ro0YNdLriWfnoZdy4cYP69Qtu4V1BEASh4FhVcABAn1E4/y/VateZDu9MBODniWM4u3NbobRTlJWq7EjFem5EPtDy6HqMucPJm9wCOn8HzhVgTQCkF51KqdbVq2PfqxdNgtKI/eWXItmbp5LLqKux4WiM6TIlkiShquFC2v0EdMkZ2Z5bsWJF9Ho9ISEhOV5f42oYZi1zdTNcVwZJMUk8zfIyHcsXwLN49USSVwx4eXmhUqlQq9Wo1Wrc3d0pXbo0sbGx5g4tX5o0acKFC4Vz52rOnDmMGjUqy0LqlSpVolatWlmOf/a19PDw4N133yUjI/t/GHJy+vRp/Pz8UKlUNGvWLNex3vv27aNGjRrY2tri4+PDL7/8YtwXEhJCmzZtsLe3x9PTM0tSPWfOHFxcXHB0dOSDDz4wljiuWLEi7u7u7Nix44XiFgRBEAqfqoYLAKFTjpFwuHBK/ldu1Iz+s79BrlBw8OdlxD7OuSfj36p5v8ogwe7vL5k7lPyxVEOX7yAhDPZ+bO5oTLh9Yohn9PY0Vu6eaeZostfexZ5TcVpi002/s9nU9QAg+XL2czQdHAw3XU6ePJnjtSVJQiaTuH3LMNc1NdYSuVKH/K8kLyVNrJMnFKK9e/ei1WrRarU8fvzY3OHk24smUC8iNTWVdevW0bNnT5Ptp06dIjQ0lMuXL3P16tUs5z19LQ8fPsyGDRtYunTpC7XZrVs33nnnHaKjo2ncuDH9+/fP9tjMzEx69OjBuHHjiI+PZ968efTp04eYGMNdx7Fjx1K6dGkiIiI4evQoixYt4rffDIuS7tq1i4ULF3LixAmCg4PZvXs3K1asMF67T58+LFu2LN9xC4IgCK+GVQUH1I1KABC36y4Jfz4qlHXI3MqW542JnwKw/N3haGOiC7yNosxCKadyAw9SkzIIuxVr7nDyx7O2oeLm6WVwqOjMz5MplVQ49icZ9mrqfr2fyxFFL3Fu76xBD6wKNa2mqbC3xLKshqSLOc/LK1euXJ7fR3U6PbFPkpGpVEjpClKTo43VNa0sROEV4RUKCQlBoVDkuH/hwoVUqFABZ2dnBg0aRGJiYrbH/frrr1SqVAlbW1u8vLxYt26dcV94eDgtW7bE1taW1q1bEx39938g3bp1w9XVFUdHR3r27Gnc9zSuJUuW4OnpyeDBgzl48CDly//d1S1JEosXL8bb2xtnZ2dmz55t3KfVaunduzf29vbUqlWLTz75hFatWmUb+8mTJylRogSOjo4m2wMDA+nSpQuvv/46q1atyvE1qlChAk2aNOHKlSs5HvO8gwcPYmlpybBhw7CysuLjjz/m7Nmz3L17N8uxsbGxxMbG0qdPHyRJom3bttjY2BiHDISEhNCrVy8sLCzw9vamcePGBAcHA7Bq1SpGjBhBuXLlcHd3Z8KECfz888/Gazdt2pR9+/YVahItCIIgvDiZygL7TuVQN/wr0dtxh+Sg7L+A/lNeNWob5+h9P3Ig148fLZR2iqqmvSsCsGXuOSLuJ+RxdBHR6D3DnwdmQOQts4byLIWjI6X/NxPPaNi6eIK5w8nCzdKCN1wdWBeW9WaGlY8TqTdjc1wYvWLFioSGhpKWlnMBlQbdyiFTSFhWrYouTUJunYpE8ezBe0okef9CGzduZMmSJfzxxx88ePCA9PR0pk6dmu2xw4YNY8WKFSQkJHDixAnjwpEAGzZs4OuvvyYiIoLMzEy+/fZb475u3bpx9+5d7t69S0JCAv/739+ldzMzMwkKCuL27ds59pLt37+fS5cucfDgQaZPn87t27cBmDp1KrGxsTx48IB169aZJDbPu3TpEhUqVDDZlpGRwfr16wkICKB3796sWbMmxzuo169f58iRI9SoUQOAjh07Ym9vn+1jzpw5AAQHB5u8RiqVinLlymWbKDo5OdGnTx9WrVpFZmYmv/76K9bW1lSpUgWAt99+m/Xr15OamsrNmzc5ceIELVq0yLYdX19fkzY8PDyQy+XG100QBEEoWuw7l8Pj43oAxB+4X2jt1GrXmSHfGhZK//WbOaz5eAJpyUVr8e3CYqGU02eK4TXeMOs0sU+KwfOWJHj/puHva3pCRtGp3Khp3ZqUBn70WPOADUcWmTucLFo52XE7OZXwVNMlRFS+zgAkX8r+ZkrZsmXR6XTZ3pB/ys7JGl2GHl15P+TyDHS67DtHihOR5OUiKVPHxYSkQn0k5bC2x/PatWtnTDjGjx+f67HLly/no48+okyZMlhbWzN58mQ2bdqU7bEWFhZcvXoVrVaLu7s7Pj4+xn09e/bEz88PKysrunfvbjKvrn///tjY2KDRaBg3bhxHj5rePZw6dSpWVlZYW1tn2+6kSZNQq9VUq1YNPz8/Ll0yDA3YvHkzkydPxtbWlooVKzJo0KAcn2dsbCxqtdpk2969e0lLS6NNmza88cYbPHnyhCNHjpgc8/S1bNeuHYMHD2bIkCGAoVfzae/b849JkyYBhp5GOzs7k+vZ2dmh1ZpOBn6qV69efPjhh1haWtKrVy+WLVuGlZUVYJireObMGWxsbKhYsSJvvfWWMeF8vp3s2rC1tSUuLuu6MYIgCELRILdVgkwiIzyZ2F8K76acg3sJxvy4AY2rG2G3rrNgcC8SY4tBQZIC4FjChrYjqgGwfuapQhkaW+DUrtB/M8Teh8BuUIRirjZnASmWMpizmMS0opXoNHZQI5dg8xPT3225xhKAhCOPsj3P2dkZlUrFjRs3cry2ys4CgDib0mTESOh1MqS/hmsWnXfnxeQ83k/gVlIKrc/k/AtREPb6V8TPVpXncbt376Zx48bGn3OrEnT//n1GjBjB6NGjjdvS07NfOHXTpk3873//4/3336d+/fp8/fXXxp4mNzc343EqlcqYZGRkZPD++++zdetWYmJi0Ov1ODs7G4+VyWR4eHjk+nxyuvbjx48pWbKkcd+zf3+eRqPJkvgEBgbyxhtvoFQqUSqVtG/fnsDAQJo2bWo85vnX8kWo1Wri400XuY2Pj8+SbAJcvXqVAQMGsGvXLho1asThw4fp1asX58+fx93dnbZt2zJhwgTGjBnDgwcPaN++PX5+fnTu3DlLO9m1kZCQgEZTPMv6CoIg/FeU+KQeof87gfZYKEpvjbHXoaBZqlQMW7CcoL272Ld8EUtGDKD1yHfwbdG6UNorSsrVdKVaU08uH37E/p+v0nKQT94nmVv5VtB4PBz+AvZ+Am2KRsETCzdXrCe9i+/0r/nj3QC6LP7V3CEZuSgNQzaXPYxgZCkXYxIGYN+pLLG77pKZmI7cxsLkPEmSKFWqVK7r5TmXtAUgTadAkawnTZf6zGDN4pnmiSQvF+VVVuz1r1jobRS0p5Uau3Xrluex9erVY+fOnaSmpjJlyhRGjRrFwYMHcz1n9erVHDx4kGPHjuHp6clvv/3GiBEjjPuf/dC9KHd3dx49ekTZsmUBcv1A+vr6mgwH1Wq1bN++Hblczu7duwFITEzEwsKCBQsWYGlpmWvb7dq1y9Lr99TkyZOZPHkyPj4+LFr09xCG5ORkbt++TdWqVbOcc/nyZapVq0aTJk0AwzIXpUuX5tSpUzRu3JiHDx8yatQoFAoF3t7edOjQgX379tG5c2d8fHy4dOkSnTt3Nl7r2TYeP35MRkYG5cqVy/U5CYIgCOYlU1ng+k5NwuefJ3brzUJL8p6q0bo9Dh4l2DTjE/YumU+5WnVRaewLtc2ioGmfilw+/Ihrxx+jdrSiXqey5g4pb699DClxcPw78KwF1bqbOyIAKvUezqEt66l44DY3evWg4obsR4OZQy93RzY/ieH3qHhaO/99o9vaz4XYHXdIuRqFjb97lvOqVKnCtm3bSEpKQqXK2rmitDakRKnOpdE/kSFXZoo5ef9mKrkMP1tVoT5U8oJ/C4YMGcKsWbOM87XCwsLYs2dPluPS0tJYs2YN8fHxWFhYoFarkcvleV4/ISEBKysrHBwciIyMZO7cuQUWe7du3Zg9ezYJCQncvHkz18Ip9evXJzQ01FitcsuWLTg4OHD9+nWCgoIICgri2rVrKBQKdu7cmWfbu3fvNlYwff4xefJkwJCoJScns2LFClJTU5k5cya1a9fG29s7y/Vq1KjBlStXOH78OABHjx7l2rVr+Pj44OLiQunSpVm6dCk6nY4HDx6wc+dOfH19AcNw2O+//547d+7w5MkT5s2bx8CBA43XPnz4MK+99lquxXcEQRCEokFZQo3M1gJdUgbJV6PyPuEfKuNbg24fTQdg8Vv9uX+56CzAXVgkSWLY101xKW3LmZ0hnP+98OZBFqjWn0HJOrBpKDwsGou7S5JEzZUbAMi8eAV9DqPBzKGJgxqlJHE81nQkl9xWidLLjqQcihx5eXkBcPHixRyvrbSSE58oR58qIVNkkplheN5FaDTtCxFJ3r9Qnz59GDp0KB06dMDOzo5mzZoZqzY+76effqJMmTI4ODjw+++/89133+V5/YEDB+Lg4ICbmxtNmjShbdu2BRb79OnTsbW1pWTJkgQEBBAQEJBjD5ylpSUBAQFs3LgRMAzVHDZsGB4eHri7u+Pu7o6npydDhgwpsIXiLS0t2bp1K9988w329vYcPnzY5NojR45k5MiRgKF656JFixg8eDC2tra8+eabfPfdd1SqVAkwDJVds2YNDg4O1K1bl/bt2xvnB3bo0IFRo0ZRt25dKleuTJs2bYz7ANauXcvw4cML5DkJgiAIhc/5TcO8saifgtGlZhZ6e941atN5vOEG5cbPPubmqWOF3qa5WVor6PmRP7ZOVhzbfItLBwtnncICpbCEvhvAxgV+7gzhWZd+MgeNjRMXvxiEToLbkyeaOxwjmSTR28ORX8Jj0T2XfVlXdSb1Viy6lKyVx59ObwkNzXmxd1cvO9LT9FhlWKC0zSj2BYwkfbGYoVpw4uPj0Wg0xMXFmRS2SElJ4e7du3h7exsLYwjm99FHHxEVFcUPP/yQ7f6HDx/SqVMnzp49m2VB9H+rmzdvMmDAAI4fP/6Phsb+V4nPuiAI5hL/xz3i/7iPpp0Xts1KvZI2ox4+YOWEUQAM+Hw+rl7FYBjjP5Semsn6GaeIi0im+4e1cfcuBvPXYx/Az10gKQreOQ8qx7zPKeyQUmLZ0rshDa7pKbN2DaqaNc0dEgB/xiTQPeg222uWp5793/UK0kK1hM8/n+Pna9u2bYSGhprUrHjWvp+vcu1YGH5lJpNWL4LqlQ7iv+AivRqn8UXHroX2fF5UTrnM8/4b34qFYuPBgwecOnUKnU7H2bNnWb58OV26dMnx+JIlS3L+/Pn/TIIHhh7CEydOiARPEAShmLFtWRqAuN0hZCa+miFwTiVL0X/2NwCs+vAd/tyw+pW0a04WlnI6jqkOwObPz5KaXAzWlLUvBT1/NIwNnF8DIm+aOyLsreyJHNuTDBncGzYMfWbh90DnRwN7NW5KRZYqm8oSahRuKpIuRWZ7XsmSJYmIiCAlJfv19CyUhilL8gxDgp2eXLSqi76o/843Y6FYSE1NZdCgQajVarp168a4cePo0KGDucMSBEEQhH9MkiRsmxmqRmfGpr6ydt3KlqfX1NkAnNi8llunT7yyts3F3k1F9w9qA/DTpD/NHE0+eVSHIXsMxVi+84eYe+aOiOGN3uPbLjJITCJiwQJzhwMYhmy2cdaw9UlMliUzVDVcSQ/VZnsTpVy5cuj1eu7cuZPtdcvWMBRFSok1JIGpyYYkUl9Mq2sWiSRv4cKFeHl5YWVlRb169Th16lSOxy5dupQmTZrg4OCAg4MDrVq1yvV4oXgpX748V69eJSkpiXv37vHRRx+ZOyRBEARBKDDWfi5mabeUjy+D5y3GzsWV7XNn/Cd69NzLaqjeqhTpqZmE3oo1dzj54+YDQ/Ya/v6tHyRFmzUcBysHmvT/gFseELXkezKizRvPU40c1CRk6ridbHqzxKaOG+gh+XLW3jwHBwcAtm7dmu017Zz/Wtu5dB0AtHFPCjDiV8/sSd769esZP348U6dO5dy5c1SvXp02bdoQHh6e7fEHDx6kT58+HDhwgOPHj1OqVClat27No0fZL4AoCIIgCIJQ1ET+dOWVt+nkWYre079A4+rGic1rWTC4F5kZxWAo4z9Qt6M3agdLdi++RFo2BTmKpNL1DMVYkGB1D7OXdxzgM4AD3Q1LNj14a0QeR78azRxskYDD0Qkm2+VqJZbl7Em+mH2VTVtb2xzXjrZ1NMzTz5QbevR0yYZKuMW1eonZk7x58+YxfPhw3nzzTXx8fFiyZAkqlYoVK1Zke/zq1asZPXo0NWrUoHLlyixbtgydTse+ffteceSCIAiCIAgvxsLdBgBdfFq2VQALm62TMwM+X4CDhydpyUl8P2rQK4/hVVJaKWj1pg8pien8uuBCluF9RVbFNtB3PTw6C39+Y9ZQZJKMbl0n8WMrGSmXL5P419JQ5mRvoaCpgy3bw2Oz7FNVdyH1ThyZCWlZ9rVp0wYwLAf2PElmqHWgUxh621Mjwgow4lfPrEleWloaZ8+epVWrVsZtMpmMVq1aGdcWy0tSUhLp6ek4Opq/CpEgCIIgCEJuJLmEU/8qAEQFmqdcvqVKxZBvvsen6Wskx8dx8OelZonjVfGs6EB5f1fCbsdxaM11c4eTfxVaQ8V28Mc0CD1v1lAalmjIjZbliXZSEv7VvCKRLHdytedkXCLR6aY3S6yrOoEE8fuyrpVYqpSh6uaDBw+yvaZHeQ3xMYYbMWmxIsl7aZGRkWRmZuLm5may3c3NjcePH+frGh9++CElSpQwSRSflZqaSnx8vMlDEARBEATBXKyrGYaD6TN0Zo2jzch3sXFw5OzO7Sx+q3+xXxcsN22GVcO1jC1XjoRyJ4cFs4scSYKeK8G+NGwfC7HmW+BdJskYUWMk37XOIOXyZaKXLzdbLE+1cLQFYH+U6Xd7mcoCSy8NafezfufXaDTY2dnlmORpY1KJemKospkYkf0xxYXZh2v+E3PmzGHdunVs3bo1x/WuZs+ejUajMT6eZvCCIAiCIAjmoqrhYhweZi4yuZyh3xrWoU2Ki+WHt99k/4/fmzWmwtRlXE2UVnJ2L7lE7JNiktBaWEG3ZfDkEnzjC2EXzBZK81LNuewl43hlifC5X5Fu5noYnlZKbOQydkTEZtlnU9+D9NBE0iOyvs/p6ek5jhgsVcURXbqhAItCYwlQJHotX4ZZkzxnZ2fkcjlPnphWr3ny5Anu7u65njt37lzmzJnD3r178fPzy/G4jz76iLi4OOMjp8z9365du3asX78egJUrV+bY8wmQmJiIj48PWq32VYVXJDRr1oxLly6ZOwxBEAThP0APpN6JI/VePLo0860/ZmFpxYT1vzLwy++wdXTm/J4dLB0zxGzxFCallYLuH/oDsHrqCTIzzduTmm+l68GgHWCpgZ86m63iprXCmkE+g1jeWoZOqSBs6jSzxPGsHm4O/BYZT8pz76VVZUckKwWJJ7OODKxVqxYAmdms++dS2hZ9phKADOnpEgrFk1mTPKVSSe3atU2KpjwtotKgQYMcz/viiy/47LPP2LNnD/7+/rm2YWlpiZ2dncmjuPHy8sLGxobExL8XZUxKSsLW1hYvL698XWP37t0EBATk69glS5bQpUsX1Gq1yfbWrVvj5uZGxnOVuJo3b46VlRVqtRpXV1cGDBjwwsNib9++TaNGjVCpVNSqVYsLF3K+U3XlyhWaNm2KnZ0dPj4+HDx40LhPr9fz8ccf4+HhgYODA506dSI0NDTLNebMmYMkSRw9etS4bdy4cUybNu2F4hYEQRCElyGzVgAQsfgCoVOOoTdzwuFS2ouBX36H2tGJ+IhwDgVmXwCvuHP0sKFJQEUAfl1gvl6xF+bdFAZuA7kSFjWAjKxFRV6F8f7jKVPGj7WN9CQePUrCM9/BzGGwp2Ho8/MLo8uUcmz83Ug6/yTLsOgqVQxzYrP7fqhxtgYk9DpIjysmvb05MPtwzfHjx7N06VJ++uknrl69yqhRo0hMTOTNN98EYODAgSZrpX3++ed8+umnrFixAi8vLx4/fszjx4//9b1Onp6ebNu2zfjz9u3b8fDwKJS2li9fTp8+fUy2hYWFceDAAdLS0ti7d2+Wc5YtW4ZWq+XChQsEBQUxc+bMF2qzT58+tGrViujoaIYPH07Xrl2zJJNg6GLv0qULPXr0ICYmhvnz59OjRw+iogxlbrds2cKqVas4efIkT548wcnJiQkTJphc49GjR6xduzbL69e+fXsOHz6c4/IdgiAIglBQHLqUx+29WijcVADoUszXm/eUJEm8OW8xcoWCMzu2sG7qh+YOqVD4tSiJbzNPHl6LIfJh1iqLRZZnLeizFrSPYV1fs9T2l0kyPm/6Ob81sCSqkhsPR40m5br5itlUUVtTX2PDmrCoLPtUtVzRJWaQ8twaiR4eHsjlch4+fJjlHPdyGgB0aQpSFU9f3+LZl2f2JC8gIIC5c+cyZcoUatSoQVBQEHv27DEWY7l//z5hYX9Xt1m8eDFpaWn06NEDDw8P42Pu3LnmegqvRJ8+fVi9+u+FSwMDA+nXr5/JMbNmzaJMmTLY2dnRoEEDLl68aNzXvHlzAgMD82zn/v37hIaG4uvra7J97dq11KtXj759++Z6HQ8PD9q1a8eVK/lf/+f69esEBwczefJkrKysGDVqFDqdjiNHjmR7bExMDO+88w5yuZxWrVpRs2ZN48KWISEhNGnShNKlS6NUKunVqxfBwcEm15gwYQLTpk1DqVSabFcqldSqVUssxyEIgiC8EhbuNmhalwEgIzLZzNEYKK1VjP1pIx4VK/Po2hUWDO5Jelpq3icWM3U7lwVg/YzTpJtxuOwLK+kPnebDrd9h3//MEkIp21J0KN+JOa2TQK8n7NMpZp23NqCEE2fjk7idlGKy3cLDBrmjFSnBpgmgXC7H09OT+/ezFrKxsDQUXdGjR6kuGp/Jl2X2JA9gzJgx3Lt3j9TUVE6ePEm9evWM+w4ePMjKlSuNP4eEhKDX67M8/u3D7F577TUuXbpEREQEERERXLx4Mcu8usqVK3PmzBmioqJ4/fXXGThw4Au3c+nSJcqXL48kmU4GDwwMJCAggN69e7N9+/Yce04fPXrE7t27qVGjBgCjR4/G3t4+28fo0aMBCA4OpmLFilhaWhqv4+vrm2Oi+Pw/JHq93nhsjx49uHHjBnfv3iU5OZm1a9fSunVr47EHDx4kMjKSrl27ZnvtypUrmyTHgiAIglCYFC6GnrzUO3FmjuRvcoUFff73JU4lS5OWnMz8Ad1JSyneX3ifZ2VjQfN+lQDY8uXZ4pXo1R4ETd6Ho/Pg0iazhDCk2hAe2aXz+9t1SLl4kZjVa8wSB0BrZw2WMinLkE1JkrCu5kRycBR6nel3R09PT65ezX4JEydPNTI5ZCYZvgsX18IrCnMHUJQlp2VyO6Jwh4GWc1FjrZTneZxcLqdHjx7G4indu3dHLjc9r1u3bsa/T548mRkzZqDVarPMrctNbGxsluOvXr3KhQsX6NGjB+7u7jg6OrJlyxaTJHLEiBGMGTMGOzs72rVrx+TJkwFYtGgRixYtyrVNrVabZa6knZ1dtolkpUqVsLe3Z968eYwdO5Z9+/Zx6NAhypY13JFzd3enbt26lC1bFrlcjp+fn7H9jIwMxo0bx6pVq3KMxdbWluho80xoFgRBEP57LFxVIEHiiVDsWhSdCuCSJDH4q0XcOXearZ9PZ8GgnvSbOQ/38hXNHVqBqdrEE7mFjP0/X2PNtBMMnNkwy03uIuu1TwwLpW8eCi6VwN0373MKUGm70nSv0J2l19bRukk9nsyahWX5ctjUr/9K4wCwVch53cmOX8Jj+cDbdCqOdVVntIcfkXwhAlVNV+P2p1OCIiIicHFxMTkn6pEWdYKKDGUx+V3IgUjycnE7QkvHBUfzPvAf+HVsY6p5avJ1bL9+/XjnnXfQ6/XMnz8/S1WgpUuX8s033/Dw4UMkSUKv1xMVFfVCSZ5Go8mSXK1atYqmTZsa57D16tWLwMBAkyTv+++/p3///vlu51lqtTpLoZb4+Phs47awsGDbtm2MHTuWmTNn4u/vT0BAACVLlgRg+vTpBAcHEx4ejlqt5qOPPmLQoEFs2bKFhQsX0rhxY6pVq5ZjLAkJCWg0+Xs/BEEQBKEgyNQWZMalEfb5Kdwn+CMpisRAKwDK1qrDa0NGsn/FElZ/PJ63V6zDyib/3yuKusr1PQi7HUfwkVB+X36F1sNy/o5QpEgSBKyCL8tDYHcYvAucy7/SECbWmcj++/tZ1N2Kd+6WIPTDSZTfvw9JnnfnRUHr4ebI4Mt3CYpPooadyrhdWcqwll7y5UiTJK9hw4acPn2a6OjoLEle6apO6DMl5PJMQFdMZ+SJJC9X5VzU/Dq2caG3kV/+/v7GXqY6depw4sQJ476QkBDee+89Dh06RK1atUhNTcXGxuaFu5h9fX25ffu28We9Xs+aNWuIiIgwLmuRkpKCVqslLCwsz+IvI0eOzHEOX//+/VmyZAk+Pj7cvHmT1NRU45DNy5cvM378+GzP8/Pz49ChQ8afGzZsaEwwL1y4QO/evY0f2GHDhtGoUSMADhw4wOHDh9m4cSNguHvTpUsX5syZw/DhwwHDnL+XGeYqCIIgCC/LeVBVIn8OJjMmlaSgCGz83cwdkomabToiVyj4/YfvWDikN8MXrsDO2TXvE4uJ5n0rER4Sz80z4dTtnIS9qyrvk4oCS1sYfQKWtYKlLWDCdVC+utgt5ZaM8BvBjJMz6DpyCO6f/EDshg04PFe871Vo9tfC6DsiYk2SPEkmYe3nTEa06Xw9e3t7rKysuHbtGpUqVTLZ51JazROtFZIykeKs6NwqKoKslXKqeWoK9ZGfoZrP2rJlC1u2bMmyXavVIpPJcHFxISMjg6lTp77Ucy5Tpgzu7u7G9eKOHDlCeHi4sWpmUFAQ165do2rVqqxduzbP6y1ZsgStVpvtY8mSJYBhCGaVKlWYM2cOqamp/PDDD0iSRJMmTbK95sWLF0lJSSEpKYkvv/wSnU5H27ZtAUMivGHDBqKjo0lLS2PFihXGIjIrV64kODjY+DxKlCjBjz/+aCxgk5aWxtmzZ2nZsuVLvXaCIAiC8DKUJW3xmFQXgJhNN7J8IS0K/Fq25Y0PPgVg6dtDuH68cEc6vUqSJNH5nRoorRXs//lqlvlbRZqjN/RYDmmJsKjeK19aoWelntha2LLI8hg2DRsQ/vU36NPTX2kMANZyGW2d7Vh4P2uFdGsfJ9IfasmI+nteqSRJpKWlZVt8RSaXkZmuROFgeB7F6LfBhEjyihkfHx98fHyybK9WrRojRozAz88PLy8vvL29s1SPzK+hQ4caE7jAwEB69epF+fLlcXd3Nz5GjRqVr2qd+bVmzRr27t2Lvb09ixcvZsuWLSgUho7mWbNm0a5dO+OxP/74ozGOEydOmCwt8eGHH+Ll5UWVKlVwc3Pj4sWLLF++HDDctXn2OcjlchwdHVGpDHd8du/eTZMmTYyVXQVBEAThVZFkElY+TgDE78/6xbMoKFe7HgHT5gDw6zdzuHP+tJkjKjjWtkpeH+JD2K049q/KviBHkVW2OXT5DmLvw28fvdKlFWSSjOF+w7kWfY3QHo3QxccT+f0Pr6z9Z/nb2QDwKMU00bXycUKylJN45onJdicnJ6KiotDpTNfRc3BTIbfIQK+TFd8MD5D0xbVkzEuKj49Ho9EQFxdnUuwjJSWFu3fv4u3tjZWVlRkjNL/ExETq1KnDqVOnXmg+X3HXvHlz5s+fj5+fn7lDEQqR+KwLglCUhX15Gl1iOp7TGpo7lBxpY6L5fqRhaoOLV1n6fjYXxUveWC5q9vxwidvnIihZ2YHO79YoPoVYAE7+ALsnQq2B0HnBK2tWr9fT7ZduOFk7Mf03e+J37sRrw3qsX/H3qdj0DKr9eZkPvT0YW8b0hn3M1psknQ+nxPS/i+vcvHmT1atXM3bsWJycnIzHht2K5ejv/bB2CGHM+Tl0aZDMt2/0eqXPJTc55TLPEz15QhY2NjYEBwf/pxI8MCyvIBI8QRAEwZysqzmjT8lEezzU3KHkSO3gyPDvVlC5UTMiQu7w7YBu3L/871h+6PWhVSld1YmH12LY88Nlc4fzYuq9BW1mwbmf4eCcV9asJEkM9R3KybCTXBraGCsfHx6MfpvM54rqFTZ7CwX1NWq2hcdk2WfprUGfpiP94d/FBR0dHQFMalEA2NhbosuwRKbUUYxS/CxEkicIgiAIglBE2NQ29EDEbr9NeniSmaPJmZ2LKx3emUirYW8DsPGzyWz7coaZo/rn5HIZncZWp3IDd+6cj+D83qI5dDZH9UdD4/FwcDYcnvvKmu3g3YFGno2YfPZ/OMybQ2Z0NBHffPPK2n/qrVIuXNGmcCnB9LNj7euMTG1BUtDfc/ae9t4FBQWZHKuyU5KZrkCyMAzjLK5DHkWSJwiCIAiCUERYuKpwGlAFgCfzzqJLzjBzRLmr/no73g3cimdlH26fOcFXAR15eLWY9YBl47WBVajc0INjW24RdivW3OHknyRByymGZO/gbAh/NfMLJUlifO3x6PV6lkZsw3FAf2LWrCX58pVX0v5TzR1tUcllrHgUaRqfXIZ1NWe0x0JNCutoNJosQ3IVSjn6TCtkCtO5esWNSPIEQRAEQRCKEKsqTtjU/WvZohvRZo4mbwoLC3p+OosmfQcDsH7aJLbPnYleV3y/JEuSRMNu5QDYMvcccRFFt1c1C0kyLJbuVB7W9oH0V1OttaJDRXpW6snGGxuRjRqIhacn4V988Urafkopk9HDzYEd4bGkP1cl1aqCPegh+UKEcVvt2rWJjIzMsuSYXiczJnnFtXyJSPIEQRAEQRCKEEkmoWnvDUD0hhvo04t+siRXKKjbpQdD5y/DrWwFbp0+zrw+nUmKjzN3aC/NWq2k9xTD0ha7l1wuXl/2lTbQ/kuIuQs/dYTMV7OswZBqQ7CQWTA76CvsOnci6dQp4n///ZW0/VS/Ek5oM3Ucjkkw2f60ymbq3b9/Jz09PUlNTSUy0rTnT6FwRCaH4jtYUyR5giAIgiAIRY7MSoF9l3KQqefRp3+iS3r1a4+9DHs3d/rP/ppqLV4HYPHwfpzb/YuZo3p5TiXUNO5ZgahHWjbNOYMus+gn3EbeTeH1/8HD07C4EaQm5H3OP+Ru487I6iP5/d7v3O9eH1WD+oSOn0BGTNZiKIXFT22Nh6UFyx9GmGyXJAmbeh4kX4kyDtksUaIEAGFhYSbHqmwdDOdQfNM8keQJgiAIgiAUQarqLsa/h/7vhBkjeXFtRr7LGx9MAeDAyh8IuXjezBG9PL/XStK4VwXC7yUQ+Gnxeh9o9C70XgPxj2BlR0hPzvucf6hP5T542XnxVdA3uH/2GchkhH/+6oZtSpJEEwc1QQlJJD2XlFv7OKJLTCflhiHptLa2xt7ensePH5scF/O48F+nwiaSPOFfKTExER8fH7Rabd4H/4t8+umnfPfdd+YOQxAEQSgAMpUFJec0QaZSAKAvTr1IQLnadRm2YDkAm2d+yq0zJ80c0cuRJInqr5WijK8TCdEpnN5519whvZjKHaDd5xAWBOv6gS6zUJtTyBSMrTmWy1GX+Sl6Fy7vjCVu2zaSzr26RP/t0m5Ep2ey9IFpb56ytB1IkHo71rgtNjaWY8eOmRxXony5VxFmoRJJXjHg5eWFSqVCrVYbH4sWLTJ3WEXakiVL6NKlS5a1/lq3bo2bmxsZGabVypo3b46VlRVqtRpXV1cGDBhA/Auu73L79m0aNWqESqWiVq1aXLhwIdfjv/jiC0qVKoWtrS01a9YkIcEwjGLkyJEm77VSqcTX1xeA+/fvm+xTq9VIksTmzZsBeOedd/jiiy9ITy8ew3oEQRCEvNm/UR6ARx//SdS6a+hSC/dLekHSuLox4PP5OJUszfYvP2PlhNFkZhTP/6M6vl0dL18nTu24y/Gtt/M+oSip2R86fAV3D8PeTwu9udfLvI6HjQcLzi9A3qszlj5VuD90aKG3+1QlGyssJInfokznhEoyCVUtN5LOhxvnWJYrZ0jonp1zaa22f2WxFhaR5BUTe/fuRavVGh+jR482d0gF7vnE659Yvnw5ffr0MdkWFhbGgQMHSEtLY+/evVnOWbZsGVqtlgsXLhAUFMTMmTNfqM0+ffrQqlUroqOjGT58OF27ds3xOS1cuJA9e/bw559/Eh8fz08//YRSqQQMCeqz73XLli3p3r07AKVLlzbZt2/fPmxsbGjbti0ALi4uVK1alV9//fWFYhcEQRCKLuuqzijcVAAkB0UQveG6mSN6Ma5eZenz2ZdUf70dUQ/vEzjpPZ7cLWZJ0l/ajfKjgr8r5367x+1z4XmfUJTUGQbNP4QTCyFobaE2JUkS37b4FoAV11fh2Lcv+uRkYjdvKdR2n/W+lzvn45MITzW9qWBVyQGdNp2MKEPV0WrVqgEQF/d3Qmjz15w8KH496E+JJO9faP78+VSoUAFbW1vq1q1LVFQUAEeOHKFmzZrY29vTrFkzrl79e+0USZJYuHAhXl5e2Nvb8/3333Ps2DF8fHxwcHDgs88+Mx47ePBg3nnnHVq0aIFaraZTp05ERETQo0cP7OzsaNGihbFNgEOHDlG7dm3s7e1p3rw5t28b/mEPCQlBoVCwZMkSPD09GTx4MBkZGUyZMoUyZcqg0Who3rx5ntd53v379wkNDTX2fj21du1a6tWrR9++fQkMDMzx9fPw8KBdu3ZcuZL/tV2uX79OcHAwkydPxsrKilGjRqHT6Thy5EiWYzMzM5k5cyZLly6ldOnSSJKEn58flpaWWY59/Pgxf/zxBwMGDMi23VWrVtG1a1dsbGyM25o2bcqePXvyHbsgCIJQtElyCfdxtfGc3RiAlCtRJF+OzOOsosVSZUOrYW/TZeKnRD64R+Ckd9kxbza6Qh46WNBkMonXh1aldFUn9vxwmbDbxax6aOMJUKkD/DIWrmwt1KaqOFWhnVc7Vl1dhVWndlhVrcrjzz4j7f6rWWC+bwlHZBLsiTR9j6wqOYBcIvWveXlly5YFMJmXp9L8neRJGcXrd/QpkeT9y6xevZpvv/2WrVu3EhcXx5IlS1AqlURFRdG5c2c+/fRTIiIi6NixI507dzbpaTpy5AjBwcFs3bqV9957j6+++oqjR49y/PhxZs2axZ07d4zHbty4ke+++46wsDBCQkJo3Lgx7777LpGRkVhYWDB//nwAHjx4QI8ePfjmm2+Iioqie/fu9O7d23idzMxMgoKCuH37NkuXLuXzzz9nz549HDlyhOjoaP73v//l6zrPunTpEuXLl8+yuGVgYCABAQH07t2b7du35zhf79GjR+zevZsaNWoAMHr0aOzt7bN9PO1RDQ4OpmLFiiaJmq+vb7aJ4sOHD0lKSmLTpk24ublRqVIlli5dmm0sa9eupW7dusahBM9KT09n/fr1DBw40GR75cqVuXjxYrbXEwRBEIovSZJwGV0dgOSrRX/9vOyU96/HmB834NuyDTdO/snXfboQHnIn7xOLEEmSaDO8Kq5edmz58ixXj4XlfVJRIZNBjxWGypsbB8O5nwu1ucHVBpOhy2D1jXWUmPsl6PWE9OuHPrPwEycXpQV17GzY8sS0sqfMUoGlt4akIENPrJ2dHdbW1iZJnrXq7+k+0iuItTCIJC83aUkQGlS4j7T8La7Zrl07k+Ti0KFD2R63cuVKJk2aRLVq1ZDJZNSqVQtbW1t27dqFn58f3bp1w8LCggkTJpCUlMTp06eN537wwQeoVCpatGiBnZ0d/fr1w9HRkcqVK+Pn52eSOPTs2ZOqVatia2tL+/btqVSpEk2aNEGpVNK1a1fjfLTVq1fTtWtXmjRpglwuZ+zYsYSEhBASEmK81tSpU7GyssLa2pqVK1cyc+ZMSpcujVwup2nTpvm+zlOxsbFZ5uJdvXqVCxcu0KNHDxo3boyjoyNbtpgOGRgxYgT29vY0aNCAhg0bMnnyZAAWLVpEbGxsto+ncyO1Wi12dnYm17Ozs8s2kXz06BFxcXHcuHGDkJAQNm7cyOTJk7Pt9Vu1alWOvXi7d+9GqVTSsmVLk+22trYmQw4EQRCEfw/L0ob/a5LOPTFzJC/PUqWi9VtjjYunr/rwHR4GXzZvUC9IaaWgzbCqeJTXcGDVVYL/DDV3SPlnYQX9NkHFtoYeveDCW+LCx8mH9t7t+ebcN4Q7KSi5YD6ZEZE8nv6/QmvzWb3cHTkZl8idpFST7cpStqQ9SECXmmG4eeLiYrJWno3G1vh3Kb14JnkKcwdQpEXegB+aFW4bbx2CEjXyPGz37t00btzYZNv9+/fx8fEBoEyZMly5coWHDx/i7e2d5fzQ0FBKly5t/Fkmk1GqVClCQ//+R8nV1dX4d2tr6yw/P5uw5PfY+/fvs2rVKjZs2GDcn5aWxqNHj/D09EQmk+Hh4WHcl1P8uV3Hy8vL5FiNRpMluVq1ahVNmzY1ttWrVy8CAwNNesG+//57+vfvn6Xt/FCr1VkKtcTHx2dJNsHw+gBMmTIFa2tr/Pz86N27N7t27aJJkybG465cuUJwcDABAQHZtrlq1Sr69euHTGZ6ryYhIQGNRvNSz0MQBEEo+mwaeJB4vBj1HuWgbpcelKxSlbWfTmT99Ek07NmP+t0CkGTFow/CztmaLu/VZNfiixxYdY1rx8Po9n5tc4eVPzIZdF8Oy1vD1hHg6A3uvnmf9xIm15vM6ceneXv/22zvsh1Nj+7EbtiA01vDUZYsWShtPtXFzZ4Zd0L5OTSSaeU9jdtt6rqTcOAByVeisKnlhqOjI0+e/H3j5GmSJwHoiuecPJHk5ca5oiEJK+w2XtLTIhzPKlWqVLa9WyVKlGDXrl3Gn/V6PQ8ePDAuAllYPD09GT58uHH45rNCQkKyDKl8Gn/58uXzfZ3n+fr6mszX0+v1rFmzhoiICNzd3QFISUlBq9USFhZmkmRmZ+TIkTnO4evfvz9LlizBx8eHmzdvkpqaahyyefnyZcaPH5/lnIoVK6JUKk2e+/OvAxiSuA4dOuDg4JBlX2xsLDt27DDpiX3q+vXrWeYjCoIgCP8eCnvD/zPa46GoGxTu/+OFrUTFKgz/bgVbv/gfxzau5tS2jYz4/mesbLLeJC2K5AoZHUb7sXjMQcJuxfHHj8G8NrAyMnkxSFQt1TBkj6FDY0ljGLwTvBrnfd4L0lhq+KDOB0w8PJGfg3+m37vvErdpM1FLl+ExfVqBt/csG7mcpg62HIw2XQhe4WCF0suO5AsR2NRyw8PDg4sXL6LT6ZDJZFhaGwodIYFMzMn7F1KqDL1shflQqgo05MGDB/P5558THByMXq/n3LlzJCQk0K5dOy5cuMD27dvJyMjg66+/xtraGn9//wJt/3l9+/Zl48aNHDlyBJ1OR0JCAps2bco1/k8++YQHDx6QmZnJ4cOHX/g6ZcqUwd3dnUuXLgGGuYbh4eHGqplBQUFcu3aNqlWrsnZt3tWlnq92+exjyZIlAFSqVIkqVaowZ84cUlNT+eGHHwyLcT7TM/eUjY0NPXr0YObMmaSmpnL16lXWr19P+/btjcfodDpWr16dZb7dUxs3bqRKlSrZJnOHDx+mTZs2eT4vQRAEoXhSNyyB3NGK1Dv/jqH5di6uDPxiAR3emUhGehoLh/Qm+PB+c4eVbzK5jNELW9CoR3mun3zMzkWXzB1S/lnZwaAdoHaHlR3g5y7wzFICBaWNVxtK25Zm261tKFxccH5nLLHr1xOfTbXzgtbZ1Z5riSmcjDXtGLH2cSLldiy61EycnZ3R6XRERxvmukqShC7jrxvwmQX/erwKIskrJlq3bm2yNtrHH3+c7XF9+/bl7bffpmPHjtjZ2TF69GjS09NxdnZm27ZtTJ06FScnJ7Zu3cq2bduwsLAo1Li9vb1Zt24dEydONM7v2759e47HT5w4kZYtW9KwYUOcnJyYNm3aS11n6NChxgQuMDCQXr16Ub58edzd3Y2PUaNG5Vpl80WtWbOGvXv3Ym9vz+LFi9myZQsKhaGzfNasWbRr18547MKFC4mMjMTZ2Zn27dvz2WefmSSEBw8eJDk52STxe1ZOc/UiIyO5dOkSnTp1KrDnJQiCIBQtkoUcuZ2S5EuRPJx0hKSLEXmfVMRJkkTlRs0ImDoHB48S7F44j70/LDBZu6wok2QSNVqVpkpDD+5fieLy4UfmDin/NCVh3F+F4u4chB+aQ2r2xeleliRJfFj3Q27F3uJE2Amc33oLhYcHYZM+IuOZiuyFobGDYejlJzdN3xOryo6QoSf1dixubm4AJkM2dRlyQ+zFtPCKpC8un54CEh8fj0ajIS4uzqRQRkpKCnfv3sXb2xsrKyszRigUhMTEROrUqcOpU6eynRf3b/Xpp5/i5ubGmDFjzB1KkSU+64Ig/BskX4sm6ucr8Nd0IbnGEveJ/kiK4n//Pj01ha1zpvMg2NAj9u6qLSj+Wku2qMvM1LH587NEhWp5c05jrNSFezO9wF39FTYNAZdK8OZuw5DOApKhy6Dp+qb4OPmwrPUy0h894lbLVmi6dqXE7FkF1k52Op29iaNSzk++ZY3b9Ho9YTNOoKruin3ncsydOxc/Pz9at24NwO7tlRlz/HM6e9zn63fHFmp8LyKnXOZ5xf9fAkHIho2NDcHBwf+pBA/gs88+EwmeIAjCf4B1ZUdKzmqC2wRDoY/MuFQeffKnmaMqGBaWVvSaOpum/YcA8O2Ablw9csDMUeWPXC7j9SGGoniH198wczQvoUpH6PUTRN2GhfUgoeCquCpkCgIqBXAy7CRXIq9g4emJy3vvEbd1K0nZ1BgoSB1cNOyPSuBBSppxmyRJWFVxIjnY0JNYqlQpHj58aNyv/+sGiqQrnv1hIskTBEEQBEEopixcVHjO+rtYxuMvT5N6Pz6XM4qPOp260fPTmdg4OLLru6/Y+sX/0BeDSocO7jY0DajIzdNP+HnyMZK1aXmfVJRUagcjDkH8Q9g8tEDn6I3wG4GXnRdj948lLTMNp6FDsKxQgfCv5hXq0NwBJZywkEmsCzMdGqosqSYzNpX0iCRKlixJWFgYur9+x+SWf6VJxeB3LjsiyRMEQRAEQSjGJJmE27haAGREpRCx6ALJ14rnYunPK12tOsPmL6Ocfz3unD3Fjq/nmDukfPFpXIKWg6uQEJ3CivePEh2aaO6QXoxzBeg0H0KOwI/tQVcw89KsFFaMqz2OiOQIAn4NIFMu4fjmmyQHBaHdX3jFdmwUcrq62rM2LNokmbSp7Q4KGSlXo3FzcyM9PZ2YGMPi6ZnJfy2jIHryBEEQBEEQBHOwcLOh5JwmuIyqDkDUyivE/RZi3qAKiEKp5I2Jn+LXqi03Tx3jx3EjCQ+5Y+6wciVJEpXre9B+lC+STGLLV2fJzCxmPUK1B0GXRfDwtGGeXgF5rfRrfN38a27F3mJPyB40Xd/Aqlo1Hn82A30hFjnp5uZAaGo6Z+KTjNskCxnKUmpS78Xj4uICwIMHDww79YbCK6K6piAIgiAIgmBWlmXscOpfBYCEAw94OOkIyVcLt3rhq9JyyCjqdO5OdNgjVn34Dqs+fJfE2Bhzh5Ur7+outBlWldTEDJaMOUhKYrq5Q3oxNftBi48geBscKLjiKC1Lt6Sue10+O/4Z2nQtru9PIOPxY2LWriuwNp5X316NvULO3kjTpUcsvTWkhcRha2vouUtJSQEM1TUlCRSpxew9+4tI8gRBEARBEP5FrKs54zahNnKNYdH0qJ+CSTwfbuao/jmZXE7Tfm/y1qIf8ahQifCQ2ywZMYCwm9fNHVquytVy5fWhPqCHHfODyEwvZj16jcdDnWFw6HPY81GBXFKSJCb4TyApI4kZJ2ZgU78+du3bETFvHhkRhbMkiFySaOpoy+7IOHTPDNlUlrFDl5hBZmQKJUqUIDQ0FACFwhrQ4+VSuVDiKWwiyRMEQRAEQfiXsXBR4fFRXVze8gUgZv11Ek8/NnNUBcPW0Zm+M76i56czAVjzyQTuX75o5qhyV7GOO13eq0HkIy0/fngUfXGa5yVJ0OEraD0TTiyC7WMKZI6ej5MPk+pOYtfdXRwPPY7rh5PQJSXxaNz4QivCMsTTmVtJqeyK+Ls3z6qsBsnCMC+vRIkShIWFASDJDMtf6IrTe/UMkeQJgiAIgiD8S1mWtcdpkKGkf8zmm/+agixgKMrS5f1PANj42WQ2z5pi5ohyV7KyIzValiY1KYPV006YO5wX1+BtaD8Xzq+CWSUK5JK9K/WmlmstJh2ZhNzVGc95X5F05gyx69cXyPWfV09jg5VM4peIWOM2yUKOwk1F0sUInJ2diY6OJjMzE71OAqCYroUukjyhcJw5c8a4mOR/RUxMDD4+Psax3IIgCIJQFFhXcTL26EWtvEJmXKqZIyo45evUZ/h3KwAIuXCOn95/m8yMDDNHlbMGXcvh26IkceHJHFh11dzhvBhJgrrDwasJZKQYFk7/h+QyOX2r9CU6JZr55+Zj1749Nk2bEPH1N+iSkvK+wAuSJIk2zhoORSeQ/kwPXUZEMumPtHh6epKZmcnjx4+xUNogARnFbHTtUyLJKyaWL19OjRo1sLGxwcPDg9atW/Pbb7+ZO6wcTZ8+nQkTJphsS0lJQaPR0K1btyzHS5KEjY0NarWa0qVLM2PGjBduc/fu3ZQvXx4bGxu6dOliLIGbnfXr11OxYkXs7Ozw9/fn2LFjxn2LFy+mVq1aWFhYMG3aNJPzdu7cScOGDdFoNJQoUYLx48eTnm6YkOvg4EDr1q1ZunTpC8cuCIIgCIXJsqw9Fu42AMTuuG3maAqWnYsr49ftoFb7LkQ+uMf8gT14dL3oJlBNelbAr0VJgv8M49zee+YO58UN2gHlWsKW4XDzj398uTZebeheoTvLLy8nJC4E98mTyYyLI37XrgIINquRpVyJy8hkzzMFWBy6lgfARe2IJEmEhYUhl1kDoC9uVVH/IpK8YuCzzz7j008/ZcaMGURERPDgwQM++OAD9uzZY+7QshUWFsaZM2do1aqVyfZffvkFuVzOrl27iI2NzXLe9evX0Wq1bNq0idmzZ7N79+58txkeHk6fPn2YP38+ERER2Nvb884772R77OPHjxk0aBCLFy8mLi6Ot956ix49ehj3e3h4MG3aNLp3757l3Pj4eKZNm8bjx4+5cOECp0+f5ssvvzTu79OnD8uWLct33IIgCILwqri9VwsLDxuQ//u+/kmSRItBw3l9+Bh0mRmsmzKRtVM+IC686M1DlGQSjXtVoEw1J05uv8OdoMIpNFJoJAl6roQSNWF1d7i85R9fclztccglOVOPTUXp5YWqbl0ivp2PvhB6ZWvYGpK3888spaD00gCge5iEo6MjN27cQJKUAKSL4ZpCYYiJiWHWrFksWbKEjh07olKpUCgUtGrViq+//tp43KxZsyhTpgx2dnY0aNCAixf/noDs5eXFl19+SZUqVbC1tWXKlClcv34df39/NBoNI0eONGlz4cKFVKhQAWdnZwYNGkRiomEBzxs3btC4cWPs7Oxwc3Nj4sSJ2cb8+++/U7duXeRyucn2wMBARo8eTbly5diwYUOOz7lu3bpUrVqVK1eu5Pt12rp1K/7+/rRv3x6VSsW0adPYuHEjycnJWY599OgRTk5OtGzZEkmS6N+/P2FhYcaevzfeeIPOnTtjb2+f5dw+ffrQunVrrK2tcXFxYcCAARw/fty439/fn1u3bhkn7QqCIAhCUSKzVoBk7igKj1+rtvSf8y3l6zQg9Howy8YOI+i3nYVWyONlSZJEq8E+eJS3Z/eSSyx++wAZxSmbsLKDgdvBtxdsehMOfZn3ObnQWGqY1nAa58LPsfrqapyGDSUjIoLwuV8VUMB/kySJVk52nIv/e4F6hb0lckcr0u4lYGNjQ2ZmJhZKW5D06HSiJ08oBCdOnCAjI4MOHTrkelzlypU5c+YMUVFRvP766wwcONBk/86dO/nzzz85ffo0X3zxBWPHjmXr1q1cv36dbdu2ceDAAQA2btzIkiVL+OOPP3jw4AHp6elMnToVgClTptChQwfi4uK4c+cOPXv2zDaWS5cuUaFCBZNtUVFR7Nmzh4CAAHr37k1gYGCuz/ny5cvUqFEDAD8/P+zt7bN9rFmzBoDg4GD8/PyM1/D29sbCwoLbt7MOSalRowbly5fnt99+IzMzk5UrV+Lv74+Dg0Our3F2Dh8+TNWqVY0/y+Vyypcvb5JkC4IgCEJRodfrSQmORl9MF3jODzfvcnR5/2P6z/4GF6+y7FuxmHm9O5Gi1Zo7NBNWagu6vFsDBw8bdJl6vh97iJjHiXmfWFTILaDbD9B0IhyYAZc3/6PLdSnXhZalWzLn1BzuVLHHtm1boleuJGZdwa+d195Zw4m4RCLS/l4DT1nChrT78Xh4eBAbG4tcYViCpNgtYv8XhbkDKMqSM5K5G3e3UNvw1nhjrbDOcX9UVBTOzs4mvWLu7u6kpKQYH4DJPLfJkyczY8YMtFotarUagHfeeQdHR0ccHR2pXr06bdu2pVSpUgA0a9aMCxcu0KJFC5YvX85HH31EmTJljNfq2LEjc+fOxcLCgnv37vH48WM8PDyoW7dutjHHxsbi6elpsm39+vWUL18eX19frKysmDp1Kvfu3TO2A1C1alVkMhmurq7MnDnTONwzPwmTVqs1Pp+n7Ozs0GbzD7pcLqdfv35069aN1NRU7O3t2bdvX55tPG/z5s3s27ePCxcumGy3tbUlLi4uh7MEQRAEwXz06Tr0aZk8+vgoJaY2MPTs/Uu5lS1P/1lfs/Gzj3l49TILh/am3ZgJ+DRpYe7QjCSZRN+p9Qi9GcvWr86xZtpJ6r9RllptyiBJxaDLVZKg2SSIvgubhkDoeWg51ZAAvvClJKY3nM7FiIu8e+Bdfp29nYywMB5Pm45NgwYon/nO+E81czQsfH4oOoEe7o4AyB2tSL4chV11O6KiopArDMM1i+sSCv/eT3YBuBt3l4BfAwq1jfUd1+Pj5JPjfkdHRyIjI8nMzDQmeo8fPzYmWk8tXbqUb775hocPHyJJEnq9nqioKGOS5+rqajzW2to6y89Pk6H79+8zYsQIRo8ebdz/tLDIF198wccff0yNGjUoUaIE//vf/+jUqVOWmDUaTZbkKjAwkIAAw2tZoUIFatasyerVq5k8ebLxmCtXrlCyZMk8XrHsqdVq4uPjTbbFx8cbn/+z9u7dy5QpUzh58iRVqlRh06ZNdOzYkevXr6NSqfLV3oEDBxg1ahS7du0yeS0BEhIS0Gg0L/U8BEEQBKEwuY6sTviiINJDE0m9G4e1j5O5QypUMrmcgGlzCLl4nj2Lvmb3d19xattGen46Exv7Fx/BU1hKVLBn4KyG7F5yiRPb7nDz9BPeGF8LK5sXT5ZeObkCui8zzNH7YxrcPQxD/4C/kqQXobHU8MPrP9B3V1/GH53IoqU/cLtDBx6++x5lt20tsJA9rZRUtrHij6h4Y5JnWUaDlkdISX/13ElyJECnFz15/zreGm/WdyycdTqebSM3DRo0QKFQsGvXrmwTKoCQkBDee+89Dh06RK1atUhNTcXGxualxp97enoyY8aMbCtgenh4sGLFCvR6Pb/88gu9evUiJiYGKysrk+N8fX3ZsuXvSbh37tzh+PHjXL16lcWLFwOGBOz5JC8nVatW5d697KtPff/99/Tr1w8fHx82bdpk3B4SEkJ6ejrlypXLcs7TXstq1aoBEBAQwNtvv83169epWbNmnvGcPHmSXr16sXHjRvz9/U32ZWZmcvv2bXx9ffO8jiAIgiC8apJChtOgqjyefYqon4OxquKI86CqeZ9YzHn51eStRT+yf8USLvy+myUjBtD9o+l41aht7tCMbB2t6DnJn+A/Qzm2+RZ7l1+h05jqSLJi0qPXcAw4V4B1/QwFWQICwerFb3qXdyjPCL8RfHPuG47FX6D65Mk8GjeeuB2/ounUscBC7uhiz8L74ej0emSShGV5ewAcMgw3/J8unVBce/LEnLxcWCus8XHyKdRHbkM1wVCW/8MPPzT2GiUnJ5OZmcnJkyeNx2i1WmQyGS4uLmRkZBjn0L2MIUOGMGvWLONctrCwMGMVz02bNhEaGookSdjb2yNJUrZDCV5//XVOnTpF5l+rRwYGBlK3bl2uXr1KUFAQQUFBnD17lps3b3Lu3Lk8Y7py5QparTbbR79+/QDo2rUrp0+fZs+ePSQlJTF9+nR69uyJtXXW17d27docPHiQa9euodfr2bx5MykpKZQtWxaAjIwMUlJSyMzMNPk7GOYbdurUieXLl9O8efMs1z579ize3t6UKFEwi4QKgiAIQkFTaCxx7F0JgJSr0TycdAR9cV0M7AXIZHJaDXub/rO/AWDz7Kkc37zWvEE9R5JJVG3iyetDq/IgOJrl7x9BV5zmhFVsYyjI8vAsfN8MUl9uHuTgqoOp7FiZacenYdWqBXInJ6KWLkVfgCuTN3VQk6zTcSrOMA9SZilH4arCOt4wci49w5DcZRTT+asiySsGpk2bxpQpU/joo49wcnKiVKlSLFiwgF1/rR9SrVo1RowYgZ+fH15eXnh7e6NUvngXORiqRw4dOpQOHTpgZ2dHs2bNCA4OBuDUqVPUrl0btVrNqFGjWLt2LZaWllmuUaJECWrXrm2c57Z69WpGjRqFu7u78VGlShW6deuWawGWF+Hq6sqaNWt4++23cXZ2Jioqivnz5xv3t2vXjlmzZgHw2muv8f7779O2bVvs7OyYPn0669evNw6xnDFjBtbW1ixbtoyZM2dibW3NqlWrAJg3bx5RUVH07dsXtVqNWq2mXbt2xnbWrl3L8OHDC+Q5CYIgCEJhUdVwxXNGI+PPjz75k9DPjpMRnWLGqF4Nt7LlGfPjepxKlubYhtX8uX6VuUPKwsvXGd8WJUlNymDJmIOkpxWjyptejaDvetCGw5JGkP7iv1NymZz/Nfwf0SnRDP19OB5ffkHqjRtELl5SYGHW1tjgoJBzMDrBuE3pqUYZbnittckpgB4oRkn2MyR9UaspW8ji4+PRaDTExcVhZ2dn3J6SksLdu3fx9vbOMvxQeHFnzpzh448/LtILthe02NhYGjVqxNmzZ8XvUBEmPuuCIAh/0+v0xP9xj8yYVJLOh2Pl44TzwJxrBfyb6DIz2TJnGvcunserRm26fzTd3CFlEXw0lINrriNXSPT/rAE2mqw314usazth45uGuXq9V4ON8wtf4tijY7y97226VejGm2vCSTh4iIp/HkX+zHf4f2LklRAuJSRztF5lJEki4egj4vbcZZniDypXjGHK5WZ0k8cz57PBBdJeQcgpl3me6MkTCoW/v/9/KsEDsLe358qVKyJxEARBEIoNSSahae2FY0AlUMhICY4iOTjK3GG9EjK5nK4fTgEgJOgsfyxbZOaIsvJpXILXh/ggV8hYM+0k4ffi8z6pqKjcAQbvhOjbsPQ1eJT3FJ3nNfRsyMjqI9lwYwPBfeshAVFLlxZYiL09HLmdnMrZvxZGV5ZUQ4aekm6eSLKno+KKUS/qM0SSJwiCIAiCIOA2tgYACQcfoC+mxSZelFxhwfi1v1ChXkMu/L6LRcP7cXLbRnOHZaKCvxvN+1UmLTmDjbPP8OvCC0VucfcclaoDw/eDXg9LWxh6917QMN9hlNOUY8KNz7Hp05OopctIzWYd5JfRxMEWtVzGnzGGuYPKUragkLDIkJGYlAZApj6jQNp61USSJwiCIAiCIGDhZoOklJF2P4FHHx9Fl5Se90n/ApJMRsd3P8SnSQtStAkcXfsTXwV05P7lvNfpfVXK13blrW+bUaGOG/cuRbFpzpniM0/PvjSM+tMwbHNdXzj5/QudLpfJmdtsLgAzKl4D4PGMGQUSmlySaGCv5vcow/rGklyGhYcaR9SkpRnm4klSMUmonyOSPEEQBEEQBAGAElMboHC2Bj08+fbFh9cVVzK5nHZjJjBu9Taa9h8CwMbPJrN/5YslJIXJwlJO66FVeX2ID1GPElk95QQR9xPyPrEosLKDN3dD3RGw+wPYNhoy838TobxDebpV6MaxxItEvRtA0vETxO8pmGlBzR1tCUpIQpthSJoVDpbYZViTnJyOJAFSMUmmnyOSPEEQBEEQBAEw9GS4v29YAzYzLo3ky5FmjujVkmQy6nTqxuCvFlHGrybnd+/gh7ff5M650+YOzahiXXe6f1CbxNhUNsw6TXRYorlDyh8La2j3OTSdCEGrYWUHiMl+HeTsTGswDR8nH6Y7HsGyui+hH35IRkzMPw6rrsaGDD1c1iYDoHC2RqkFSTL05OkRPXmCIAiCIAjCv4D7h3UAiNt99z+xht7znEqWpvvk/9G490Ay09PZ+vl0tn35GTpd0ejVcSltS8+P/LG2tWDt9JMc33rL3CHljyTBa5/AwF/gwUnDPL17x/J5qsTsxrOJSI3i+94OSBYWPHx7zD8OqaKNFdYyidN/rZdn4arCNklJRqah8IpI8gRBEARBEIR/BYWDFa7v1iIjOoXEU4/NHY5ZSJJEva69GL7wR0r5+HL7zEm+7tOFO+eLRq+eaxk7en9aD1tHK879dp9fF14gtbjMoyzbDN6/Cc6V4KdOcGFd/k6zL8uYmmPYFX+M1IFdSD53jpTr1/9RKJYyGfXt1RyOMQx9tfCwQa23Qq97miYVz5scIskTBEEQBEEQslB62GBZVkPsL7dJuRlTfCo6FjCFhQU9p8yi/dj3Adg6ZzoHVv6ALtP8vXoqOyUDZjSgWjNP7l2KYtn4I9woLkm52hUG/QJVu8LWEfDnt/k6rW/lvniqPfnS8wIKN1fC5837x6E0tFdzJi6RpEwdChcVCuQo5X8tiSWJJE8oZlauXEmrVq1e6txZs2YxZsw/7yJ/lby8vDh69Ki5w/jHxo4dy+rVq80dxisVExODj48PKSkp5g5FEAThP8WqsiMAkcsv8+ijoySeKSYJRAGTJIkqjZvz3uqtlPSpxrndv7B07FASY//5nLB/HJtMolmfSvT+tC4O7ip+XxFMfFSyucPKH7kFdP0B/IfC71Ng1weQmfuSBSoLFZPrTSZIe43LXf1IPHQY7ZEj/yiMNs4aknV69kXFI8kkFG4qVDIVoEcvE0soCIWsUqVK1KpV65W3GxISgkKhMNk2efJkvvvuuwJtZ/z48Tg5OeHi4sL48eNzPO7IkSOo1WrUajUqlQqZTGb8uWrVqgUa0z9V0IllWFgYu3btonfv3ibb16xZgyRJ/PLLLybbV65ciUKhQK1WY2dnR7169V44Hp1Ox3vvvYe9vT1ubm58/fXXOR47cuRI43uhVqtRKpX4+voCcP/+fZN9arUaSZLYvHlznuc6ODjQunVrlhbgAqiCIAhC3myblMRtQm2sqhiSvZhNN3k0/TixOwpmnbLiRq6wIGDqHAKmf056SjJLRgzg128+Jz0t1dyh4eSppt1IXxRKGas+Ps7ZPSHFo/dVJoMOX0G9kXDqe/ixHSTnnjw3LdmUDmU7MFVzgPSq5QibMhVd6su/BxVUlgCci/9rXp6zNVY6wzbJWvXS1zUnkeQVE6dOnSI0NJTLly9z9epVc4dT4P744w/WrVvHlStXuHfvHl26dMnx2CZNmqDVatFqtezfv5/SpUsbf75y5corjPqfy8h4sbtDq1atokuXLsjlcpPtgYGBODg4EBgYmOWc5s2bo9VqiY6O5rXXXqNHjx4v9I/+kiVLOHjwIDdu3ODo0aPMnTuXffv25Xjs0/dCq9XSsmVLunfvDmDyPmm1Wvbt24eNjQ1t27bN81yAPn36sGzZsnzHLQiCIBQMCxcVzoOq4v5BHSzLatAnZ6D9M5TojTfMHZrZlKxclb4z5lGiYhWuHz/C/AHdWfHeW5zduc2scTm429B3Wn2qNPTgxLY7/Dz5GMkJaWaNKV8kyVB5c+AvEB4My1pB2IVcT/ms4Wc427iyoFUaGU+eEP7VV/+geYnOrvbsjoxDr9cjt7fEIsMwXFNSWrz0dc1JJHnFRGBgIF26dOH1119n1apVJvskSWLx4sV4e3vj7OzM7NmzjftOnjxJnTp1sLOzo0yZMixYsCDb67/11ltMmzbN+LNer8fb25tjx47RunVrMjMzjT0s9+/fZ9q0aQwbNsx4/P79+/H398fOzo4KFSpw5K9u85kzZ+Lh4YGdnR2+vr4EBwdn275MJsPGxgZXV1dUKhXNmjV7qdfp0qVLNG3aFAcHB2rXrs2ZM2eyPS4zM5OpU6dSpkwZ3NzcmDBhgjHhmjZtGn379qV79+6o1WoaNWrE48ePGTlyJBqNhlq1anHnzp082xw2bBj379+ndevWqNVqVq9ezcqVK2nRogUjRoxAo9Ewe/Zs7OzsSEz8u/zxjz/+SOvWrbONe8+ePTRp0sRkW3h4OL///jsLFy5kx44dxMfHZ3uuQqFgwIABPHnyhKioqHy/pqtWreL999/H1dWVChUqMHz4cH7++ec8z3v8+DF//PEHAwYMyPG6Xbt2xcbGJl/n+vv7c+vWLcLCwvIduyAIglBwFI5WuLzlR4lpDQBIOvuElNux5g3KjBxLeNLnsy/pO+MryvnXJyYslIM/L2PR8H7EhD0yW1y2jla8NrAK9TqXRRuTyprpJ3l8J85s8byQss1g+AFIiYMV7eD+iRwPtZBbsLDlQs6po7je3JvY9RtIDw9/6aYD3B0JSU7jZlIqcgcrLFINo9h0mebvpX0ZIskrBjIyMli/fj0BAQH07t2bNWvWZOmJ2b9/P5cuXeLgwYNMnz6d27cNwygsLCz4/vvviY2NZfPmzXzyySecP38+Sxv9+/dn7dq1xp+PHz8OQMOGDdm7dy9yudzYw1K6dGmTc+/cucMbb7zBtGnTiImJYd++fXh4eHDt2jWWLFnC+fPniYuLY+PGjTg6Omb7HCtUqEBoaCjvvffeS79OWq2Wtm3b8u677xIZGcmnn35Kt27dsp3HNW/ePI4cOcKZM2e4fv06586dY8mSJcb927dv57333iM6OhobGxsaNGjAa6+9RlRUFDVr1mT69Ol5trls2TJKly7N3r170Wq19OvXDzAMN23QoAExMTG8//77+Pv7mwyzXLt2LX379s32OV66dIkKFSqYbFu3bh1+fn706dMHT09PNm3alO25aWlp/PTTT3h6euLs7MzRo0ext7fP8fFUcHAwfn5+xp99fX3z1WO6du1a6tatS7ly5bLsS09PZ/369QwcODDf58rlcsqXL8/FixfzbFsQBEEoPDIrBa7vGqaPRC69RNTqf98IoxfhUaESb0z8hPHrdlCjTUeS4+NY8d4IAj8ax+WDf6DXmadwh397L/pNr49MLrH5i7Oc/OVO3icVBS4VYfRJcPOBlR3h1h85HlrFqQrjao9jjl8ImRYyHo4di/4lC+L42xmGZe6NjEPhYIlFhgUShrUTi6PiGfUroktOJvnKlUJ96JLznhi7d+9e0tLSaNOmDW+88QZPnjwx9pQ9NWnSJNRqNdWqVcPPz49Lly4BUKtWLWrVqoVMJsPf35/27dvz559/ZmmjSZMmpKamcu7cOcDwJbtPnz75ep3Wrl1Lp06d6NixI3K5nNKlS1O+fHkUCgWpqalcvXqVzMxMKleujLu7e5bz09PTad++PT///DMXL17k448/Nu7TaDSE5/OuzK+//krVqlXp3r07crmcN954A1dXV06cyHoXaPny5cyYMQMXFxfs7e2ZMGGCSXLUsmVLmjRpglKppGvXrtja2tKrVy8UCgU9evTgwoULL9zmU+XKlWPw4MHIZDKsra1NEuwnT55w7NgxunXrlu25sbGxqNVqk22BgYEEBAQAEBAQkGXI5qFDh7C3t8fT05OTJ0+ydetWABo3bkxsbGyOj6e0Wi12dnbGn+3s7NBqtTk+v6dWrVqVYy/e7t27USqVtGzZ8oXOtbW1JS6umNyNFARB+BdTetjg/lFdAJIvRfJw0hGi119Hn1k8KxEWBEmSaDlkJKOWrqZe1wCe3LnJb4u/4bshvXl8yzxDW+3dVPSbXh8vXyfO7Aph56KLZKSbvyponmycoN9GsNJAYHe4si3HQ3tX7o2LmzeL20qkXLjI42dGpr0IjYUCHxsrTsQlIne0xkKv/GtPMZjXmA1F3of8d6XeuUNI9x6F2obX5k1Y51EsJDAwkDfeeAOlUolSqaR9+/YEBgbStGlT4zFubm7Gv6tUKuOX8CtXrvDee+8RFBREWloaKSkpVK5cOUsbkiTRt29f1q5dS/Xq1dm4cSN//JHznZNnPXz4EG9v7yzby5cvz1dffcXkyZO5ceMGXbt2Zd68eSYJAxh6IdPT0+nevTutWrWiWbNmWFtb07VrV0qXLo2rq2u+4rh//74xoXkqPT2d0NDQbI9t164dkiQBhuGpnp6exv3PtmltbZ3l56ev74u0+VTJkiVNfu7Rowfjxo0jJiaGjRs30rZt2yyv0VMajcYkwbpx4wZnzpxhw4YNAPTu3Zs5c+bw8OFDYzvNmjXL93uZHbVabTIEND4+Pkui+bwrV64QHBxsTD6ft2rVKvr164csm7tjuZ2bkJCARqN5wWcgCIIgFAaFxpIS0xsQ9VMwqXfiSDofjrWfM9ZVnMwdmlmp7DQ07j2ARgH9uXb0ILu++4rVH4+nSpMWtB39HjKZPO+LFCCllYL2o/04uf0OZ/fcY8X7R2k9rCpevs6vNI4XZu0AI4/C+v6wcRA8HANtZmY5TCFTMKXBFIbED6F7i6qwcRNOQ4ei9PJ64SY7utqz6H448oqlsND/NRdPVjyHa4okLxeWZcvitTn7oW8F2UZutFot27dvRy6Xs3v3bgASExOxsLBgwYIFWFpa5nr+mDFjaNKkCb/88gvW1tb06dMnx6Ib/fv3p23btrRq1Qo3NzeqVasGYEyEclKqVKkc59oNGDCAAQMGEBkZSe/evZk3b57J3D8wJEVPv+xrNBr27NlDo0aN+Pnnn/noo49ybftZnp6etGnTJkuFyZyOXb9+/T+uVppXm9m9ds9vs7Ozo02bNmzevJm1a9fy/vvv59ier68vN2/eNL43T3vt6tevbzxGp9OxZs0aPvjgg1xjP3LkCO3atctx/9Nk0sfHh0uXLhmHbF6+fDnPKqarVq2iQ4cOODg4ZNkXGxvLjh07OH06+8Vkczo3MzOT27dvGytuCoIgCOYns1Tg8pYfer2e8AXniQq8isdHdZGrlXmf/C8nSRJVmrTAu1YdNkz/iKtHDnD1yAH8O3WjTufuqOxe3U1LSZKo/0Y5SlZ24I+VV9m50DD1Yfg3TVFaFeF0wM4DhvwGf34D+z+DjBRoMxsUpr9fddzr0MarDV9kHOfr0zY8+XIupRa+eBX46rYqtJk6bmdmolRYQRrodK82KS8oYrhmLmTW1lhXrVqoD5m1da4xbNmyBQcHB65fv05QUBBBQUFcu3YNhULBzp0783wOCQkJ2NvbY2VlxZEjR3I9x8fHB2dnZyZMmGAyJ8zZ2RmdTsfDhw+zPa9Pnz7s2LGDXbt2odPpePDgAbdv3+b69escPHiQtLQ0VCoVlpaWWapCAjRq1IioqCg+//xzUlNTUSgUNGjQgJs3b6JS5b9sbceOHTl//jzbtm0jIyOD5ORk9uzZk+3wviFDhvDJJ58QFhaGXq8nJCSEQ4cO5but/Lbp6upKSEhIntfp378/X3/9NVevXqV9+/Y5Hte2bVuTJRBWr17N3Llzjb8bQUFBzJw5M9sqm897tkppdo9nY5s7dy4RERHcunWLpUuX5jiXDgxJ5urVq3M8ZuPGjVSpUiXbZC23c8+ePYu3tzclSpTI87kJgiAIr5YkSagbeUKmnrAZJ9GlFs+1xQqDlY2agV8soNO4SUiSjDM7trB4eD82zfz0lRdoKVnZkQEzGlC5vmH6zNL3DqONKeI9VXIFNJkALT6Gsyvhp06QmpDlsPf93yfRRs7+WhZoDxwg7cGDF26qvsYGGXAmLhErleE7erFYhiIbIskr4gIDAxk2bBgeHh64u7vj7u6Op6cnQ4YMydcX+c8//5yFCxdiZ2fHN998Q+fOnXM9vn///gQHB5vMx7OxsWHSpEnUqFEDe3t77t+/b3KOt7c3mzdv5uOPP0aj0dCyZUvCwsJITU1l4sSJODk5Ubp0aTQaDePGjcvSpoODA7/99ht79uzB1dUVX19f3N3d2bNnD2+99VaOPT7P02g07Ny5kwULFuDq6oqXlxc//PBDtsdOnDiRBg0a0KhRIzQaDZ06deLBS/xjkFebH374IZMmTcLe3p41a9bkeJ127drx5MkTunbtmmvv7IABA9i2bRuZmZkcO3aM8PBwhg8fbvzdcHd3Z9SoUdy6davACpSMGjWKZs2aUaFCBRo2bMj48eONc+mern337O/EwYMHSU5OzjFZzW2uXm7nrl27luHDhxfAMxIEQRAKg01tN9RNDVMFnnx11szRFD0V6zdm/LpfePPr76n+ejvuXTzPivdGsGvBXBKiIl9ZHHKFjJaDfWjR3zB956eP/uTMrrtFO5mRJGj2AfTfAmFB2VbedLdxZ07TOaysnUCinZIns2Znf61c2CjklFVZEpSQhJVahSTp0RXl1yUXkr5Iv6MFLz4+Ho1GQ1xcnMm8p5SUFO7evYu3tzdWVlZmjNC8Nm3axLfffpulsItQ+KpVq8a3336bYzGSp8aMGUPDhg1zrMD5bxQbG0ujRo04e/bsP/58is+6IAhC4dFn6nj0saHAm+esxkiy3Kd8/JclREey89sveHTNMOXFxsGR2u274N+pW55TZQpKXEQSe364TOQDLa5ednR82w9r2yI+1PbRWVg/ALTh0GUhVDedwz//3HxCl3/PoH06vLduwapKlRe6/Phr9zkfn8T3N2Lpcu0hrzvcY/6ECQX5DP6RnHKZ54mePMEoNTWVxYsXM3ToUHOH8p/z+++/k5SURIsWLfI89rvvvvtPJXgA9vb2XLlyRSRlgiAIRZwkl2Hb0rDUUtq97NdtFQxsHZ3pPf0L3lq8krpdepAYG8Ph1T+yaFhfQi6ceyUxaFxUBHxcl9cGVibiXjwrJh5l38pgUhLTX0n7L8WzNow9C2Uawta34MpWk92jaowiuVNTwpxk3B8xkoyYmBe6fBUba64mpqBXP51SVTz7w0SSJwAQFBSEo6MjSqXSuJ6b8Go8Xf9w/vz52VabFARBEITiRF3PMN8r4vuLRK68QmZRThiKAFtHZ5r0HcyEdTtoO3ockkzG5llTWDZ2KLfOnET3kuu+vYgqDUvQe0o9ytd25dqJx6yc9Cdn94QUersvzcLasMRClc6wcTBc3/P3LpkFHzb+lEU9VGSGhxP6/sQXGopaycZwQzlUZejR1BfTJE8M1/yLGMIlCP8N4rMuCIJQ+GK23yLxeJjxZ5lKgfNQXyw8bMQQzjxkpKdzYe9OTmzdQEqCoTe0RMUqtBw6Clev3KuyF4TIh1q2fX2O1MQMPCvZ02Z4NayLarXUVK1heYXb+6HLIqjxd02JzTc2c2jJFEbt0uEyYTzO+ZzXH5mWQbU/LzMLK77cd4mW9nf57v3cK5a/SvkdrimSvL+IL36C8N8gPuuCIAivhl6vJ/VWLFGrr6FP+bvapstbfliWFWue5iUzI4P7ly9waf9v3Dp9Ar1Oh62zC7XadaZGm44oLCwKrW29Xs/JX+5wdvc9AOp1KUut1qWRyYvgiCNdJvz6Hpz7GdrPhbqGZE6v19NzR0+6b35CzUuJVDh4EHkuSdGzah+7Qhss2LrrAq9p7rJwYvFL8orgOyUIgiAIgiAUd5IkYVXBAc9pDXCf6I+6qScAET9cJHbHbTLjinjpfjOTKxR416hN5/GTGbNiHc36D0EuV3Bo1XK+7d+VH8eNJCTobKFUxZQkifpdytH707rIZBInt99h+YQjJBbF90wmh07zof7bsOt9OPIVYHgOY2qO4Qf/WDLS0wj/+ut8X9JHbc1NSQdAUcxr86OYhi0IgiAIgiAUFwona+zbl8WqkgMA2j9DCZt9ivAlF8wcWfGgtFbh36kbQ+cvpd+sryntW4Po0Idsnj2VH95+k9SkxEJp18lTzciFzenwth9pKZms/PBPDq29Tma6rlDae2mSBG1mQvOPYN//YF0/yEijeanm9Gv+Lusa6Ylduw7tn3/m63LlVJacTjUktAqFWAxdEARBEARBEHLk/GY1Ss5pgtu4WgCkhcTzaPpxMiKTzRxZ8eFergI9P5nB+HU7qFi/MdqoSL57M4Dtc2cSHxFe4O1JkoSXrzO9JtfBo7yGy4ce8fMnx4gvau+ZJEHzSdDpW7j2K6zuAalaBlUdxL2ONbntDmGTPkKXlpbnpRwUClL0eqD4zh8VSZ4gCIIgCILwSlm42eDxaX0ULtbokzN4PPcMcUW5mmMRJEkSncZNos9nX1KlcXNunT7O0jFDWDf1g0Lp2XMpbUu392vT5b0a6DL0rPrkODdPPynwdv6x2oMhYDXcPQzr+2Gh0/F27TEsayMnIyKC6OXL876ERgWAHoniWr1EJHn/Al5eXhw9etTcYRQbjx49okaNGuh0RWyoQSFr1qwZly5dMncYgiAIggCA3MYC9wn+uI6tCUDS+SdkavPuZRFMlahYhfZj32fU0tVUa/E6j64F892bAZzZsQV9IXzXKVnZka4TaqGwlLN3+RU2fX6GyIcJBd7OP1KlI3ReAHcOwYLa1LevTNkGrbnhKRHx7Xx0qbnPLSxp9XT5BNGTJxQiLy8vVCoVarUaJycnevXqRcwLLuxYkKKjo+nQoQN2dnaUKVOG1atX53r8ypUrkSSJ77//3rjt8ePHSJJ5Pjhz5sxh1KhRWdakq1SpErVq1cpy/LOvv4eHB++++y4ZGRlZjsvN6dOn8fPzQ6VS0axZM+7du5fjsRkZGUycOBE3Nzc0Go3JAunt2rVDrVYbHxYWFnTq1Mm4PyEhgWHDhuHo6Ii9vT0DBw407hs3bhzTpk17obgFQRAEobApPdW4jq2JPlPPk2/PEb3xhrlDKpZUdhrajHyXAZ/Px6t6LQ4FruDrvm/w//buPKyqan3g+PdwgMM8ySQICIrzPOGEOGtaOWWOpJmWppZZVmpFN03Ln3nVsiwzNcjZnHKonHFWzBknkEDFWeaZs35/cD23I6DiFRF8P89znsez9lp7vfu4jvKy9l7rt1nTSLga/+ATFIGThzWvTW9Jy97+JN1MZ9nkQ2xZcLpYFoF5ZA2CYfBvkJ0G8zvwWZ2RbOyRt/jP7SVL7tu0vC5v5VI9JpTWqTxJ8kqJP/74g5SUFGJjY8nKymLSpEklFsuMGTPQ6/Vcv36dgwcPUr169Qe2cXR0ZOrUqWRnl+yGqJmZmSxdupTevXsblR88eJArV65w8uRJIiMj87W7+/nv2rWL5cuXM2/evCL12bNnT9566y1u375Ny5YtGThwYKH1x48fz6VLlzh16hS3b99m+vTphmObNm0iJSXF8KpcuTK9evUyHB8yZAj29vbExMRw48YN3nnnHcOxLl26sGvXLq5ff/z36wshhBD/C3NPG1xH1EWfnE1axDVuhp4mN1lm9R6Fa0U/ek34jO7vf4xbpcqc3buL+W8PY/ag3sSefHwL3Ziaaanbzou+Hwfg6mPL2QNX+XnCXjJSS/ZnPSMVW8LLP8PtaGxWDmVQ9xB21dQQP2M6uQkJhTbTmZT+FKn0X8EzxtramhdffLHARATy9gAbOXIk7u7ueHt789lnnxluS8zJyWHUqFGUK1eOatWq8eWXX1K5cmUA0tPT6devH05OTjg5OREYGFhoDCYmJpQvXx4LCwvc3NwKnP26V4MGDfDx8WHBggUFHr99+zb9+/fH1dUVPz8/Fi1aBMD58+fx8PAw1OvYsSNt27Y1vPfw8OD8+fPcuHGD5557DgcHB5ydnenXr1++PgAOHDiAh4cHTk5ORuVhYWF069aNDh06EBoaWuh1+Pv7ExgYyKlTpx54zXft2LEDnU7H0KFDsbCwYOLEiURERHDx4sUCP4eFCxfy/fff4+zsjFarpWHDhgWe9/Dhw8TGxhqSvNOnTxMREcG0adOws7PDzMyM+vXrG+qbm5vToEEDtm7d+tCxCyGEEE+KaTlLPEKaYVHVkYxTt4j//AAp+6+Q+zQlDaVIpYYBDPh8Bm/+uJiAHn3IzkhnxaSJ/PTOcI79uYmch1iA5GFY2ZnTe3xjmnb3I+VOJvPfDWfzDydJuJ72WM7/P6vYEnovhCtHaL51Gtajh0FOLqc+fPu+zWpaW5CLltI5jydJXqmTlJTEmjVrCAgIKPD4pEmTOHXqFJGRkezevZuwsDB+/vlnAL777jv27NlDZGQk27dvZ+nSpYZ2ixYtIjU1lcuXL3P9+nWmTJlSaAx169Zl0aJFrFy5skixh4SEMGXKlAJn84KDg/Hw8CAuLo6NGzcyfvx4jh8/jr+/P3q9nqioKHJzczlz5gznzp0jOzubqKgo9Ho9/v7+fPXVV/j6+nLz5k0uX77M6NGjC4zhxIkT+Pv7G5Xl5OSwbNky+vTpQ9++fVm8eHGhtxucPXuW8PBw6tWrB8Dzzz+Pg4NDga8vvvgCyEu+6tSpYziHlZUVlSpVKjBRPHHiBO7u7oSEhODs7EydOnVYt25dgbGEhobSvXt3bG1tgbxbQv39/Rk0aBDlypWjadOm7N2716hNtWrVOH78eIHnE0IIIUqaiaUpzq/Wwr6rHwAJa6KIn7SfSx+Gk5OQUcLRlU6Wtna07BvM26G/0vqVYeRmZ7HlxznMCu7J6i//xfWY6MfST8POFQme3AyvGk5EHbnOskkH2RYa+XTM7FV/Abp9Cxd30ufaX+xr44bZjoPcPH200CZaE02pfibPtKQDeJplZ+WScLV4fwvh4G6FmfmD99947rnn0Gq1JCcn4+/vX+jtgkuXLuXHH3/E0dERR0dH3n33XZYsWcLgwYNZtWoV77zzDq6urgCMGjWKqVOnAmBmZsatW7eIjo6mZs2ahc7kXbhwgXfeeYft27cTHByMpaUlXbt2JSIigldeeeW+M1xt27bFy8uLhQsXGj1HdvXqVXbs2MGaNWswMzOjWrVq9O/fn19//ZU6deoQGBjIrl27uHPnjiFZOnLkCJGRkbRs2dIQf3x8PHFxcfj6+tK8efMCY0hISMDGxsao7I8//iArK4tOnTqRmZnJ66+/Tnh4OK1atcr3+Ts5OTF48GCGDBkCwG+//Vbo9d6VkpKCnZ2dUZmdnR0pKSn56l6+fJmTJ0/Sq1cvrly5wr59+3jhhRf466+/qFSpkqFeTk4OS5cuNcx43m37xx9/8OOPP7JgwQJWrVrFiy++yIULF3BwcADA1taW27dvPzBmIYQQoiTZBnpi3diNzJgk7qw6hz45m6tfHMLjk6aYWJmVdHilkqm5OQ27dqNh125cj4nmyKZ1nNqxhegjh9BZW1OjVVua9uiDlb3DI/dh52zJi2/VIys9hz9/OsXZ/VeJ3BNPvQ7eBLzoi6lZCe45V38AoDBbO5J2z4/i6oFfufDJSF5YWfDeeRV05pwHKKVzeZLk3UfC1TSWTzlUrH28PKExLt62D6y3adMmWrZsSWZmJiEhIXTt2pXDhw/nq3flyhW8vb0N7318fLhy5QqQl0xVqFDBcOyffw4ODubvv/+mR48eZGZmMnz4cMaPH5/v/PPnz6dLly60atWKdevW0alTJ8LCwjh79qzRbZSFCQkJYdiwYXTu3NlQFhsbS0ZGBi4uLoay3NxcBgwYAEBgYCDh4eEkJCTQsmVLNBoN4eHhREZGGpLRcePG8fHHHxMUFISVlRXjxo3jtddey9e/vb19vuQqLCyM7t27Y25ujrm5OV26dCEsLMwoybv7+T8KGxsbkpKSjMqSkpLyJZsAlpaWmJmZ8dFHH2FqakpQUBBBQUFs2bLFKMn7/fffMTExoUOHDkZtK1asaLjuvn378vnnn3PgwAE6deoE5C3MYm9v/0jXIYQQQjxJJhamWFZzwnJiU5J2xJG0OYYrn+0HwKlfNazqujzgDKIwrhX96DxiDO2GDOfoHxs5smENf21az1+b1mNpZ0+NwNb4N2mBR5VqaB7h+TRzS1O6jqzLnauphC8/z9E/Yzn6ZyyVG7rSdlD1h5rgKBb1B8LlI1Q68A2RL3Si8pITRO5cQ/Wg7vmqNra3ZismpTTFkyTvvhzcrXh5QuNi76ModDodwcHBfPnll9y8eRNnZ2ej4x4eHsTGxhoSgtjYWMMzbe7u7ly+fNlQ99KlS4Y/m5ub89lnn/HZZ59x5swZWrduTbNmzWjdurXR+bOzsw2rUtatW5fly5fTo0cP7Ozs2Lx58wPjb9++PR4eHkYzUJ6entjY2HDnzp0CV9wMDAxk9uzZJCYmMnbsWDQaDdOmTSMyMpI333wTyJsZmzVrFrNmzWL//v20bduWNm3a4OfnZ3Su2rVrG82CpqSksHbtWrRaLZs2bQIgNTUVMzMzvv76a3Q63X2v57nnniM8PLzAYxMmTGDChAnUqFGDb7/91lCenp5OVFQUNWvWzNemVq1a+coK+kxCQ0Pp378/Wu1//5GsVatWvrr3vj979qzRiptCCCFEaWDX2gvz8tYk/vE32ZdTuL3kDLeXnsGytjNWdV2wqFGuxFbtLs3MdBY0fqEnjV/oya1LsURFHCQq4iARG9YSsWEtAJUbN6X90JFYOzgW+fyO7ta8+FY9rsUkcWxrHOcPXeNCxHXaDa5O1QD3kvk7e+5LuHWBjnF72O3siO34z9Bv7YSJpaVRNRvTvJ93s1QJzj7+DyTJuw8zc+1DzbI9SdnZ2SxevBhXV1fKlSuX73ifPn2YNGkS9erVIyUlhRkzZvDBBx8A0LNnT2bOnEmnTp3Q6/XMmTPH0G779u24urpSvXp17OzsMDU1NUog7urevTvPPfecYZESNzc3vLy8iImJeegvakhIiNHCKJ6enjRr1oyPPvqIiRMnYm5uzvHjx7GwsKBGjRrUrVuXGzduEB4ezpL/LHm7b98+0tPTDc/GbdiwgerVq+Pr64u9vT0ajabA+Js2bcqVK1e4c+cOjo6O/Prrrzg6OnLo0CFD/Lm5udSvX58NGzbQs2fP+17L3cTwflq3bk16ejo//fQTAwYM4PPPP6dhw4b4+vrmq+vv70/jxo2ZOnUq48eP58CBA+zcuZMZM2YY6iQlJbFu3Tr27duXrx+lFIsWLWLgwIGsXr2a+Ph4w/ObWVlZREREGCXYQgghRGlhUdUJi6pO5NzO4NYvkWRfTiH9+E3Sj98EQFfFEcsaTlhUL4ep/f1/SSvyK1fBm3IVvGnS7SVysrI4f2gf2+Z/x4VD+7lwaD8ObuWp1qIVjV7oic7KukjndqtoR8fXatK4a0V+n3eSrQsj2bowkgadvGnyoh9a7RNcJkRrBj3mYr6gCzcDM3FZm85f302h4Vjjlev9LHWggUxt6bw9WBZeKSU6duyIjY0Nzs7ObN++nTVr1hSYVH388cdUrVqVatWq0axZM/r27cugQYMAGDFiBAEBAVSrVo2goCB69uxpmKmKj4+ne/fu2NnZ0bhxY954440Cn8tr2bIlP/30E++++y62tra8+OKLvPnmm3zwwQc8//zzD7V/X8eOHalSpYpR2S+//MKlS5fw8/PD1dWVMWPGkJ6eDuSt5tm8eXOqVatmuKWyRo0aNG3a1JDInTt3jjZt2mBra0vXrl2ZOXMmPj4++frW6XT06dOHFStWAHm3ag4dOpTy5cvj7u6Ou7s7np6eDBkyhLCwsAdey8PQ6XSsXr2amTNn4uDgwK5du4zOPXz4cIYPH254v2TJEnbs2IGDgwNDhw7l559/NqyCCrBy5UoqV65M3bp1jfoxMzNj7dq1fPPNN9jb2zN16lTWrFljeB5v06ZNBAYG4ubm9liuSwghhCgJpk4WuI2uT4UvAvH4pCnWjd0ByDx3h4Q1UVydepDUI9dKOMrSzdTcnOotghj501KGzPyeVgOHoDHRsP/XZXzzah8WvvsmB9euJDujaIvhOLpb0+ejJnQcWhPXinYc+T2W0In7SL79hBfVsfOAl36ih20SZ6pryQ1dRULyDaMqNqZ5P2PmlNLFVzTqqdq1sPglJSVhb29PYmKi0WIYGRkZXLx4EV9fXywsLEowwifn+++/Z9WqVfzxxx8lHcoTdenSJV544QUiIiLybYhelrVu3ZrZs2cbrfT5LHoWv+tCCPGsuL38LGlH8vaDtarvim1QBUysTDGxNZfbOR+DW5diOfrHRo5v2Yw+NweAuh2eo1abjrj5VS7yZxxz4iYb5uSt+u3h70BANz88Kjs87rALF72Ty1/3JmlTOU68VI+XJ/93k/SotAzaTt1Gc5dYlrw1/D4nebIKy2XuJUnefzwLP/glJydz4MAB2rRpw8WLF+natStvvfUWI0eOLOnQhHhinoXvuhBCPMtykzK5/v1xcm8Zzw55/Ks5JrrS+XzV0+jKuTMcXv8r5w/+d7um2m070rRXP+ycH35RnKSb6RzbFsfxbXlrRfjULkfAC35P7pGpfXP4c9q/qRBphsnsz6jasTcAVzKyaPb5Fpq6xLHsrTeeTCwPQZK8QjzLSV5iYiJt2rTh3Llz2NnZ0bdvX7788kvMzErnvcZCPIpn4bsuhBACsq+nkXMrnTurzqNPydurzdzXHudXa2JSUqs7lkHpyUkc3/o7UYf3E3/+LABaU1OqB7alatMWVKzX8KHOk5OVy6GNMRzZ/DcAlrZmtBtUA59a+degeKyUImPRC+xaEIXndah68CCmtrbczMqh4aQ/aeR6iVWjhxVvDEUgSV4hnuUkTwgh33UhhHgWpR6+yp2V5/9boNWgtTXHqW9VzL3s0GjlVs7HIenmDcIXLyTl9i0uRZ40lNcIbEPD53vgWtHvPq3z5GTncnLnZSI2/03Gf5Jz37rO1G3rhWfVoq/w+VCyM9g7uTH2y3NI7NyE5v9eREpOLjX/9QcNXa/w6+j823KVFEnyCiFJnhDPNvmuCyHEsyvlQDzk6En4Ldpoj2vbNl7YtvGSGb7HSK/PZf+qpZzbv4dbl2IB0GhMqNW2A/U7v4CLd8X7ts/JzuXs/qtEH71J7KlbALh429L59VrYOVvet+0jOb2WZSHjqHNCi9/GDWgr+lIpZDMtq6bzy8D7r7b+JEmSVwhJ8oR4tsl3XQghBIA+LZv0k7dI3PI3+qQsQ7ld54rYBJTHxFJ2GntcMtPSOLt3F+cP7iXm2BEA7FzcaPvqG/g1aPzABVtysnP5649YDq6/CICzlw1VmrhTM9ADc4vH9PekFKsWdsNr1nks/XyotWoTFT/ZTMsamfzSr/vj6eMxkCSvEJLkCfFsk++6EEKIe6UciCdh9QWjMpuWnti28kRrJ3vuPU5Z6WnsWf4LZ/eFk3rnNgBVmrbEp049KjduhpWdfaFt01OyOL79Eqd2XSY9Oe9WTr96LjTo7INbxcITnoeVm3qLzycE0vt3hd/6dVT5+TwtamSxWJK8p58keUI82+S7LoQQojBKr0jZfZnEjRcNZRbVnbBp7oG5t52szvkY5ebkcPT3DcRfOEvU4QPkZGUCYGFtQ+UmzajZuj0eVaphYpL/M1dKcedqGse2xRG5Jx6lV9g46qgZ6End9l6Y/Q+33a7f8gmeY1dgHliJrk4jCaxtRtjL7R/5fI+bJHmFkCRPiGebfNeFEEI8iFKKtIjr3Fl5zqjcxNYM+44VsWrgikb77Oy1W9yUUty+conoiINEHzlktGiLT536VGrYhBqt2qKzss7XNjdbz19bYrlw+Dq3LqcAUL1FeZp1r4SlrXmRY8nMzeTHfvVpekHRs8tXtG3kyYLudR/94h4zSfIKUdaTvJUrV/L222+TmJhIdHQ0rq6uJR0SAOHh4YwaNYpjx46VdChPvdGjR9O0aVMGDBhQ0qE8MVu3buW7775j5cqVxd5XWfmuCyGEeDL0mTmk/XWDxM0xqIwcQ7m5jx1W9VywrOOC1lq2o3qcstLTiP7rMOcP7uPvY0fITEsFwMbRiSpNW1KnfWfKVfDO1+7mpRR2LT1L/IVEAFwr2lGrlSdVA9wwKUJSPmNaF5776SLLW7XhYpfXWdi93mO5rsfhYZM8+RVEKVCxYkV27979UHXff/99FixYQEpKSokmePfGHBgY+NQneK1btyYsLKxEY4iPj2fjxo307dvXqHzx4sVoNBrWrVtnVL5w4UJMTU2xsbHBzs6OgICAhx4rd+n1esaMGYODgwNubm78+9//LrTuP/u7+4qNzVsxKzw83Kjc2toajUZDREQEAJ9++ilmZmZGde5q164dUVFRHD9+vEixCyGEEMXNRGeKTdPyeH7aDM/JLbBr742JlSlZfyeRsDaK+En7uTQ+nCuT93N72VkSN18kec9lsuJTSzr0Usvc0opqzVvxwpgPGLVgGYO/+o4m3XtjaWvHkU3rWPjum3zV53nWfTWF41s2k5aUl9Q5V7Ch53sNeWVKcyo3dCXpZjrbfo7ku5E72Lf6AlnpOQ/oOU/n4ClkaSEwYRv6UjodJssGlTGxsbHUqFGjyO1ycnIwNZXhUNJCQ0Pp1q0bWq3xveRhYWE4OjoSFhbGiy++aHSsdevWbNmyhZycHD7++GNeeukl4uPjH7hS1V1z585lx44dnDt3jsTERFq3bk2dOnVo165dgfXv9nevwMBAUlJSDO+XLVvGhx9+SIMGDQxlgwYN4scffyzwvH379mX+/PnMmjXroeIWQgghnjSNqQl27X2wa++DytWTFZtMxrk7ZJy7gz4lm7Rj10F/TyOtBosqjljWcsbcyxZTF8uH/j9a5ClXwYvAfoMI7DeI1IQ7nNmzk8tnThMXeZLzB/fy57xvcPbyoWZQO+p27IKtkwWdhtUC4MqFBI7+GcuR3/NeVQLcaN6jMtYOhS+oU929Lhs9TbGIz8YkN6vQek8zmckrZQYPHsxbb71Fu3btsLW1pWPHjty+nbcykY2NDbm5uVStWpUmTZoAebMr9evXx8HBgaCgICIjIw3n0mg0fPPNN/j6+tKmTRs+/fRT+vfvT69evbCxsaFFixZcvXqV4cOHY29vT4MGDYiOjja0Hz16NB4eHjg4ONCxY0fDjM7QoUOJjY2lY8eO2NjY8Msvv7Bjxw4qV65saHvq1CkCAwNxcHCgYcOG7Nmzx3CsYsWKfPXVV1SvXh0HBwdGjRpV6Ofx008/4ePjg62tLVWrVmXHjh3s3bsXX19fo3ohISG8/vrrAHz++eeUL18eOzs7ateuzenTp5k0aRLh4eEMHToUGxsbpkyZAsDOnTtp2LAhDg4OtG7dmqioKABiYmIwNTXl+++/x93dHXd3d9auXcuaNWvw8/PDxcWF+fPn3zfOgmzevJnAwECjsuvXr/Pnn38yZ84c1q9fT1JSUoFtTU1NCQ4O5tq1a9y6davQz+xeoaGhvPfee7i6uuLv78+wYcP4+eefH7r9/c47cODAh/6PrFWrVmzevPl/7lcIIYR4EjRaE3S+9th3qojb6PqUH9+EClMC8ZzaEvcPm+DYyx+LmuUwLWdBRuRt7qw4x7UZEVwev5trX/9Fwvoocu5koErrVFEJsXZwpGHX7rz47gRG/riYQf/3DQE9+nDn6hV2hv3E7FdeYvFH73J61zay0tPwqOxAlxF1CJ7cjKpN3Tl34BoLP9zD9tBIkm6lF9iHRqNBW9UHjxsa3FMuFljnqaeeMYmJiQpQiYmJRuXp6enq9OnTKj093VCWlZGurkadL9ZXVkb6vSHm4+Pjo8LDw5VSSg0aNEi5ubmpY8eOqfT0dNW2bVv1ySefGOoCKi4uTiml1M2bN5WDg4NatWqVysrKUtOmTVOVK1dW2dnZhrovvviiSkxMVGlpaSokJERZWVmpXbt2qczMTNWhQwdVsWJFtWzZMpWdna2GDBmiXnnlFUNfS5YsUQkJCSotLU29+uqrqlu3bgXGrJRS27dvV5UqVVJKKZWZmal8fX3VrFmzVFZWllq6dKlydHRUt2/fNrRt2bKlunHjhoqLi1MuLi5q27Zt+T6XlJQUZWtrq86dO6eUUiomJkZFR0crpZTy8/NTe/fuNdT19/dX27dvV5GRkapChQoqPj5e6fV6FRkZqeLj45VSSgUFBanQ0FBDm9jYWOXs7Kx27dqlcnJy1OzZs1WjRo2UUkpdvHhRAWrs2LEqMzNTLViwQLm4uKjg4GCVmpqqtm3bpqytrVVycvJ947yXs7OzOnHihFHZrFmzVIMGDZRSSlWqVEnNnz/fcGzBggWqXbt2hs/1/fffV56enkoppcLDw5W9vX2hr7vs7OzUsWPHDO9XrlypGjZsWGB8CxYsUNbW1srJyUlVr15dfffddwXWu3btmjI1NVVnz541lIWEhCh7e3vl5OSk6tWrp1atWmXU5vbt2wpQGRkZBZ7zcSnouy6EEEIUp9yMHJUZl6TurI9SV7/5S8V9sCvfK2nXJZWTnFnSoZZqV6POqy3zv1M/jByipr/cVU1/uav6+f23VPiSRepGbIzS6/UqJSFDbVl4Sn3zxlb1zRtb1bLPD6rzh68pvV5vdK4DCyap01Wrqf+b9l4JXU3BCstl7iX3593H7cuXCBs/plj7GDh1Jm5+lR9c8R969+5NnTp1AOjVqxd//PFHgfU2btxInTp16NmzJwDvvvsuM2fO5NChQzRr1gyADz/80OihzXbt2hlmknr06MF3333Hyy+/DMBLL73E+PHjDXX/+dzYBx98QIsWLR4q/gMHDqDX63nrrbcA6NOnDzNnzmTz5s3069cPgDFjxuDs7Azk3R547Ngx2rRpk+9cGo2GU6dO4e3tjY+Pj6F8wIABLFmyhGbNmhEREUFaWhqtWrUiOjqazMxMIiMjcXZ2plq1aoXG+csvv9CjRw/D5zF69Gg+++wzYmJiDHUmTpyIubk5ffr04dVXX2XMmDFYWVnRpk0brK2tuXDhAv7+/oXGea+EhASjZ9Ug71bNPn36GD6rsLAwhgwZYji+c+dOHBwcMDMzo2bNmqxevRqAli1bkpCQUGhfd6WkpBiNATs7O6PbLv8pKCiIkydP4u3tzaFDh+jRowcuLi706tXLqN7SpUtp2LAhVapUMZS9/PLLDB8+HGdnZ7Zu3Urv3r2pUKGCYdbZ1tYWgMTExKdmwSAhhBDicTDRaTGvYIt5BVtDWebFRHJupJNzK53knZdI3BBN4oZoTKxM0TpZYFrOEpsAd3R+DiUXeCnj5lcZN7/KtH31Da7HRHNmz04uHNrHgdXLObB6OQCVGgXgXasu3cfWJe50Dse2xfH7vJOYWWgJ6luFqk3LA+DZpANJ/IJ9yoX7dfnUkiTvPpw8KzBw6sxi76Oo3NzcDH+2srIq9AfyK1eu4O3935WHTExM8PLy4sqVK4ayChWM+//nD9eWlpb53v+zr88//5wFCxZw/fp1NBpNobcRFhSXl5eXUZmPj49RXA9zjdbW1ixZsoTp06czePBgOnTowKxZs/Dw8GDgwIEEBQXx73//myVLltC3b19MTEyoXLkyX331FRMmTODcuXP06NGDGTNmFLg6UWxsLKGhoSxfvtxQlpWVxeXLl/H09ESr1eLk5GT4bAr6/FJSUu4b573s7e2NrvXcuXMcPnzYEEPfvn354osvuHTpkuHvLigoqMBn5B6WjY2N0d9dUlJSvkTzrn/eBhsQEMBbb73Fr7/+mi/JCw0N5dVXXzUq++ezop06daJ///6sXbvWkOQlJycD3HelKCGEEKKs0Pnao/PN2/jbrr03WZdTyIpNJisumazYZNIvpZB+7AYAGp0Ws/LWaG3N0drrMK9gg0X1crJvXyE0Gg1uvpVw861E0MAhpCUlEnX4AOcO7CH2xDGiDh8AwNLOnrodnkNrXouYk1lsWRjJsW2XaNW3Cm4VqpMElM+49yHL0kGSvPsw01kUeZbtaeLh4cHGjRsN75VSxMXFGSUXj/rg786dO/n222/Zvn07/v7+nDt3zmhW7H7n9fDwIC4uzqgsNjaWbt26FTmOLl260KVLF1JSUhg+fDgTJkxg4cKFVKlSBS8vL7Zu3cqyZcuMVqUMDg4mODiYmzdv0rdvX2bMmMGnn36aL2ZPT0+GDRvG7Nmz8/X7z9m8/yXOe9WuXZvz589Tq1bew8J3V/ts2rSpoY5er2fx4sW8//779+0zPDyc5557rtDjd5PJGjVqcOLECcPs8MmTJ6lZs+ZDXZeJiQnqnl1Yzpw5w/Hjxw2zjw/b9uzZs/j7+8u2BkIIIZ45GjMtuor26CraG8r0admkHr5G1qVkcm5noE/NJutSCuT8N+kwq2CDzifvl6NaBx0a87wZQ1MXS0z+hw3ByxorO3tqt+1I7bYdAUhNuMPJHVuIDN/O/lVLASjn5UPFGg25cbkSq6ZFUDXAHQ80mJmXzkVyJMkrw5577jlGjx7N2rVr6dq1K7Nnz8bS0pJGjRr9z+dOTk7GzMwMZ2dnUlNTmTx5stFxV1dXYmJiaNmyZb62AQEBAHzzzTcMHz6c1atXExkZSefOnYsUw7Vr1zh06BDt2rVDp9NhZWVFbm6u4fjAgQMZO3YsNjY21K9fH8hLJOLj42nevDlWVlbodDrDSpZ3Y76rf//+NG/enN69e9OiRQtSU1P5/fffeemllx5rnP/UuXNndu/eTY8ePYC8W0anT59O//79DXV++uknwsLCHpjk3bvaZWEGDhzI9OnT6dixI4mJicybN49FixYVWHfz5s00bNgQFxcXjhw5wuzZs5k+fbpRndDQULp06UK5cuWMytetW0dQUBC2trbs2LGDX375hU2bNhmO79q1i06dOj0wXiGEEOJZYGJlhm2r/Hd8KaVICb9M2rEboFek7L2CxswElWU842TqaonWwQJTBx1WjdzQecudMndZOzgS0L03Ad17k3LnNgfXriA64iBn9vyKuZU1LhVbcWa/4lKjcbhlLX/wCZ9CsrpmGebs7MyaNWsICQmhXLlyrF69mjVr1mBm9r9v2Nm5c2datGiBj48PtWvXpnnz5kbHP/jgAz788EMcHBxYvHix0TFzc3PWrVvHkiVLKFeuHFOnTmXdunU4OjoWKQa9Xs+0adNwc3PD1dWVy5cvGyWbffv25ezZs0YJUmZmJuPGjaNcuXJ4e3tjb2/PO++8A+Q9c7dw4UIcHBz44osv8PX1ZenSpYwbNw4nJyeqVavG2rVri/pRPTDOfwoODmbNmjXk5uayd+9erl+/zrBhwwwreLq7uzNixAguXLjw2PaUGzFiBEFBQfj7+9O8eXPGjh1r2D4hNjbWaC+8P//8k5o1a2JtbU3fvn354IMPjJ7NVErxyy+/EBwcnK+fxYsXU7FiRezt7RkzZgw//PCD0bhZunQpQ4cOfSzXJIQQQpRVGo0G21YVcBtdH7e3GlBhaiCen7XAc3IL3N5tiFP/aljVd0VjpiUzKoHUg1e58e0xLn2Yt5ff9e+Pc/3bo9xeeoZbS8+Q+HsMiX/EkH76Fhnn7pAVn0r2jTRyk7LQZxX8S+myxMbRibaD32Do1/MZ9H/f4FmlGpdPbyIzYSbJFpZk5Bb90aqngUbde69VCZgzZw7/93//x9WrV6lbty5ff/214TmdgqxYsYKPP/6YmJgY/P39+fLLL+nSpctD9VXYLvEZGRlcvHgRX19fuV2sjMjOzsbNzY1Dhw5RqVKlkg7noY0aNYrmzZsbJadl3datW/nuu+9YuXJlsfcl33UhhBDPktzUbFLCL5GbnI1GqyH7WhoacxOy41PR6LTk3sp48Ek0YOZmjcrRo7UzR+tkgYlOi8bCFHL1mFewRWNpimk5C7Q25mhMS/c80tE/NrIzbD45mZk07DyK1q8W7W6z4lRYLnOvEr9dc9myZYwdO5a5c+cSEBDAzJkz6dSpE2fPni1whb29e/fSr18/pk6dyvPPP8/ixYvp3r07R44cMTzHJATAokWLqFOnTqlK8CDvNtZnTbt27QrdfF0IIYQQj05rbYZ9Z9/71tFn5aJPzUafngO5ityUvA3As6+loTJyUTn6vOcC07LRZ+vRX01FZeWSc73gfeYANJZ5aYaJlSmmDjpUth6tvS5vM3hzLaYOOrSOFnmridrp0JiaoNE+Hc+/1evYhQrVarBo3CgSbl95cIOnUInP5AUEBNC4cWPDD7Z6vR4vLy9Gjx7Nhx9+mK9+nz59SE1N5bfffjOUNW3alHr16jF37twH9iczec+Gpk2bcunSJVavXk3jxo1LOhzxFJHvuhBCCPH46DNz0KfmkJuUSW5iFjl3MtBoTVA5uWRfSUVjriXnZjpoIPtqKirjwbeAmliZgokGlaXH1NUSlZmLaTlLNGYm6DNyMHXO+zM5ClPnvBXOtfY6NGYmaCy0aLQmoAGtjTkmlqZ5dR/BrFd6U69Dd4KCBzxS++JQKmbysrKyiIiIMNp7zcTEhPbt27Nv374C2+zbt4+xY8calXXq1Ik1a9YUZ6iilNm/f39JhyCEEEIIUeaZ6Ewx0Zli6vTwvzhVOXpyU7LQp+WQcyP9v2UJmWjMtahcPbn/SRZzbmegcTTJm028kQZaE7IuJpF9PQ2NqQnqYZ4b/M8EoUanRWtt9p8EMhetgwUanRaNNu+9qbNl3oyjowUaUw3du7yLbWPPR/lYSlyJJnk3b94kNzfXaE80yNsj7cyZMwW2uXr1aoH1r169WmD9zMxMMjMzDe8fdi83IYQQQgghxOOnMTXB1MECHMDco+C9eR+W0itUdi769Jy8FUb1CpWr8m4/TctGZevzEsSb6Wh0WlSuQqXnkJuSjcbcBHL05NzKQGOhJf3krbxZP30CKlehTc3GzNMESteTP8BT8ExecZs6dSr/+te/SjoMIYQQQgghxGOmMdGg+c9sovivEl36xtnZGa1Wy7Vr14zKr127hru7e4Ft3N3di1R//PjxJCYmGl73bsIthBBCCCGEEGVJiSZ55ubmNGzYkK1btxrK9Ho9W7dupVmzZgW2adasmVF9yNu7q7D6Op0OOzs7o5cQQgghhBBClFUlvonF2LFjmTdvHosWLSIyMpIRI0aQmprKq6++CsArr7xitDDL22+/zebNm/nqq684c+YMn376KYcPH2bUqFEldQklKjY2FgcHh0KPDx48uNCNt0va119/jaurK87OziUdCgDDhw9n2rRpxXLur776is8//7xYzv20unPnDjVq1CAj4yH23xFCCCGEEI9NiSd5ffr0Yfr06XzyySfUq1ePo0ePsnnzZsPiKrGxscTHxxvqN2/enMWLF/PDDz9Qt25dVq5cyZo1a8rsHnkdO3Zk6tSp+co/+eQTevbsibe3NwkJCU8+sP9RVlYW77//Prt37+bmzZslHQ4Ac+fO5f3333/s583MzGTWrFmMHDnSqHzv3r1oNBpmz55tVL5jxw5MTEywsbHB1taW2rVrs3bt2iL3+8UXX+Di4oKTkxPvv/8+he2W8s/+7r7Cw8OBvO/fP8ttbGzQaDSsWrUKyNuOYPTo0bi7u+Ps7MyECRMM53V0dKRjx47MmzevyLELIYQQQohHV+JJHsCoUaP4+++/yczM5MCBAwQEBBiO7dixg4ULFxrV7927N2fPniUzM5OTJ0/SpUuXJxzxkzNw4EAWL16cr3zx4sUMHDiwBCJ6PK5fv052djZVqlQpctucnJxiiKj4rF27lkaNGuWbcQ0LC8PR0ZGwsLB8bfz8/EhJSSExMZERI0bQt29fbt++/dB9bty4kTlz5rB//35Onz7Npk2b+Omnnwqtf7e/u6/AwEAAvL29jcq3bt2KtbU1nTt3BvIWNjpx4gSRkZGcPn2aLVu28OOPPxrO269fP6P3QgghhBCi+D0VSZ4oXM+ePYmOjubEiROGsv3793Pr1i26du1KTEwMpqb/XU0oKiqKFi1aYGtrS69evUhPTzc635w5c/D398fZ2ZlBgwaRmppqOPbtt9/i5+eHi4sLAwcOJDEx0XBs27ZtNGrUCDs7O/z9/Q0zPXFxcXTp0gVHR0dq1KhhNOPUunVrQkJCDO369OlDZmYmsbGxVK1aldzcXGxsbOjduzcAO3fupGHDhjg4ONC6dWuioqIADNc4d+5cPD09GTx4MLm5uYSEhODj44ObmxvvvvuuIfn79NNPGTBgAL1798bW1paAgAAuXrxoiOvo0aMEBQXh4OCAt7c3K1asAIxvbV24cCFt27ZlxIgR2NnZUaNGDY4cOWI4x4EDB6hduzZ2dnYMHz6coKCgApM1gM2bNxuSpruys7NZvnw5s2fP5siRI5w7d67AtiYmJgwePJiMjAyio6MLrFOQ0NBQ3njjDSpVqoS7uzvvvvsuP//880O3v995e/TogbW1NQAbNmxg7NixODo64urqyttvv230S5lGjRpx4cIFo9l4IYQQQghRvCTJe8rZ2NjQrVs3o9m8sLAwevfujU6ny1e/X79+BAUFcevWLYKDg/n1118Nx1asWMHcuXPZsmULcXFxZGdnExISAuQtXjNp0iR+++03YmJiSE9P5+233wYgOjqa7t278+mnn3Lnzh22bt1K+fLlDf3VrFmTq1ev8u233zJw4EAuXLhg6HP58uWsWrWK2NhYTp48yeLFi/H29ubUqVNotVpSUlJYsWIFcXFxvPTSS8ycOZNbt27Rq1cv+vbtazhPbm4uR48eJSoqinnz5jFjxgzCw8M5fPgwZ8+e5ciRI8ydO9dQf/Xq1bz55pvcuXOHqlWr8umnnwKQmJhIx44dCQ4O5saNG0RERFC9evUCP/vw8HBatWrFnTt36NmzJ++88w6Qd/tlz549GTNmDLdu3aJOnTrs3bu30L/DEydO4O/vb1S2adMmtFqt4e+rsAQxNzeXBQsWYG1tTeXKlQ3PYBb2io2NBeD06dPUqVPHcJ7atWtz6tSpQmOMi4vD1dUVf39/PvvsM3Jz828smp2dzbJly3jllVeMyv95G6hSyqgfrVZL5cqVOX78eKF9CyGEEEKIx0w9YxITExWgEhMTjcrT09PV6dOnVXp6uqEsNzNHZV5KLtZXbmbOA2PesGGD8vHxUXq9XmVnZysXFxe1c+dOpZRSFy9eVFqtVimlVExMjNLpdEbX0KJFCzVp0iSllFKdOnVSv/zyi+HYiRMnlI+Pj1JKqSFDhqhPPvnEcOzMmTPKwsJC6fV6NXnyZNW/f/98ccXGxiqdTqfS0tIMZX379lVTpkxRSikVFBSkpk+fbjg2btw49fbbb+eLWymlpk6dqoYNG2Z0fmdnZ3Xx4kV18eJFBagrV64YjlWtWlXt2bPH8H79+vUqKChIKaVUSEiIev75540+v7p16yqllAoLC1PNmzfPdy1KKTVo0CDDZ7VgwQJVq1Ytw7FTp04pe3t7pZRS27dvV35+fkZtvby8VGhoaIHnrVy5stq+fbtRWe/evdWIESOUUkr98MMPRufbvn27MjExUfb29srJyUk1btxYbd68ucBzF8bPz8+oz3PnzimdTldg3fj4eBUZGalyc3PVqVOnVM2aNY3+3u5au3at8vDwULm5uYayiRMnqsDAQHXjxg115coV1ahRI2VmZmbUrkWLFmrZsmVFir84FfRdF0IIIYQoDQrLZe4luwbeR86NdK5//Vex9uE6uj7mnjb3rdOxY0fS09PZs2cPSUlJWFlZ5bv9DyA+Ph4XFxcsLCwMZV5eXoY/x8bG8sYbb/Dmm28ayrKzswG4cuUKzZs3N5T7+PiQkZHB7du3uXTpEr6+vvn6u3LlCi4uLlhaWhq1u3LliuH93QV0AKysrAp9riw2NpbQ0FCWL19uKMvKyuLy5ct4enpiYmJimD28W/+5555Do9EAeTNInp6ehfabkpICUOi1FKSwc1y9etWoLyDf+3+yt7c3tAVISkpi/fr1bN68GYBevXoxcuRI9u7da/g78PX1NZoRLSobGxuSkpKM+rSxKXicubu7G/aZrFGjBh999BFff/017777rlG90NBQBgwYgInJf28AmDhxIgkJCdSrVw9zc3OGDRvGrVu3jNolJydjb2//yNcihBBCCCGKRpK8+zB1scR1dP1i7+OBdUxN6dOnD4sXLyYhIYH+/fsbkpt/Kl++PDdv3iQjI8OQ6MXFxVGzZk0gLxGZPHkyPXv2zNfWw8PDcKsf5CVRFhYWODk54eXlxenTpwtsc+PGDaP+YmNjqV279sNd/D94enoybNiwfCtNQt4zefder6enJ8uWLaNBgwZF6sfLy4v169cXOb5/cnd35/Lly0Zl977/p9q1a3P+/HnD+5UrV5KRkcHLL79suC69Xk9YWJhRol2Q2NhYatSoUejx06dP4+3tTY0aNThx4gQvvvgiACdPnjSMgwcxMTHJtxJnQkIC69ev59ChQ0bllpaWfPPNN3zzzTcA/PDDDzRp0sRwPDc3l6ioqEcaE0IIIYQQ4tHIM3n3YWKuxdzTplhfJubah4pl4MCBLF++nLVr1xa6qqaPjw+1atVi8uTJZGdns27dOg4ePGg4PmTIEKZMmWJY0CQ+Pt4wm9SnTx/mzZtHZGQkqampTJw40ZCE9OvXj/Xr17Nx40b0ej1xcXFERUXh5eVFgwYNCAkJISsri127drF+/XpeeumlIn/W/fv3Z8WKFYSHh6PX60lOTmblypWF1h8yZAgfffQR8fHxKKWIiYlh586dD+yna9eunDt3jgULFpCdnc2NGzc4efJkkWJt1qwZ6enpLFiwgJycHObOnXvfhUU6d+7M7t27De/DwsIYM2YMx44d4+jRoxw9epQFCxawfPlyw8xqYe5d7fLel7e3N5A3Xr7//nuio6O5du0aM2bMyPcs3V07duwgLi4OgPPnzzN58mRDcnjXihUrqF69er5k7dKlS8THx6PX69m3bx9Tpkxh4sSJhuMRERH4+vri4eFx3+sSQgghhBCPjyR5pUSTJk0oV64cVatWve9MzuLFi9m6dStOTk4sXLiQHj16GI7169eP1157ja5du2JnZ0dQUJBhhq5jx46MHz+eLl264OPjg5mZGTNnzgTybh1ctWoVEydOxN7ennbt2hmSmqVLl3Ls2DFcXV154403WLRoUb5FRh6Gr68vS5cuZdy4cTg5OVGtWrX77g03btw4mjVrRosWLbC3t+eFF14wJCr3Y29vz+bNm5k/fz7Ozs40atSIs2fPFilWnU7HqlWr+Oqrr3BycuLo0aM0bty4wIVwALp168bBgwdJTEzk0qVLhIeH89Zbbxluk3R3d6dfv35YWFiwadOmIsVSmK5duzJixAiaNGlCtWrV6NSpE0OGDDEc/+deeBERETRt2hRra2s6duxI9+7dee+994zOFxoaSnBwcL5+zp8/T0BAADY2Nrz++uvMmTPHKBFcsmQJw4YNeyzXJIQQQgghHo5G3XtfVhmXlJSEvb09iYmJ2NnZGcozMjK4ePEivr6+Rs+0CfEgSikqVKjAihUrCr3dcvr06WRlZRltFl7WJSQk0KJFCyIiIp6q75R814UQQghRWhWWy9xLnskT4hHs2LGDWrVqYWdnx4wZM9BoNDRq1KjQ+vfOjD0LHBwc7rttgxBCCCGEKB6S5AnxCE6cOMHLL79Meno61atX59dff8Xc3LykwxJCCCGEEEKSPCEexejRoxk9enRJhyGEEEIIIUQ+svCKEEIIIYQQQpQhkuQJIYQQQgghRBkiSd49nrHFRoV45uj1+pIOQQghhBCiWMkzef9hZmaGRqPhxo0buLi4oNFoSjokIcRjpJQiKyuLGzduYGJiIgvlCCGEEKLMkiTvP7RaLRUqVODSpUvExMSUdDhCiGJiZWWFt7c3JiZyI4MQQgghyiZJ8v7BxsYGf39/srOzSzoUIUQx0Gq1mJqayky9EEIIIco0SfLuodVq0Wq1JR2GEEIIIYQQQjwSuV9JCCGEEEIIIcoQSfKEEEIIIYQQogx55m7XvLtFQlJSUglHIoQQQgghhBAP724O86Bt3565JC85ORkALy+vEo5ECCGEEEIIIYouOTkZe3v7Qo9r1DO2+7der+fKlSvY2to+NSvsJSUl4eXlRVxcHHZ2diUdjigDZEyJx03GlHjcZEyJx03GlHjcnsYxpZQiOTkZDw+P+24H9czN5JmYmFChQoWSDqNAdnZ2T80AEmWDjCnxuMmYEo+bjCnxuMmYEo/b0zam7jeDd5csvCKEEEIIIYQQZYgkeUIIIYQQQghRhkiS9xTQ6XSEhISg0+lKOhRRRsiYEo+bjCnxuMmYEo+bjCnxuJXmMfXMLbwihBBCCCGEEGWZzOQJIYQQQgghRBkiSZ4QQgghhBBClCGS5AkhhBBCCCFEGSJJ3hMyZ84cKlasiIWFBQEBARw8ePC+9VesWEG1atWwsLCgdu3abNy48QlFKkqLooypefPmERgYiKOjI46OjrRv3/6BY1A8e4r679RdS5cuRaPR0L179+INUJQ6RR1TCQkJjBw5kvLly6PT6ahSpYr8/yeMFHVMzZw5k6pVq2JpaYmXlxfvvPMOGRkZTyha8TTbtWsXL7zwAh4eHmg0GtasWfPANjt27KBBgwbodDoqV67MwoULiz3ORyVJ3hOwbNkyxo4dS0hICEeOHKFu3bp06tSJ69evF1h/79699OvXj9dee42//vqL7t270717d06ePPmEIxdPq6KOqR07dtCvXz+2b9/Ovn378PLyomPHjly+fPkJRy6eVkUdU3fFxMTw3nvvERgY+IQiFaVFUcdUVlYWHTp0ICYmhpUrV3L27FnmzZuHp6fnE45cPK2KOqYWL17Mhx9+SEhICJGRkcyfP59ly5YxYcKEJxy5eBqlpqZSt25d5syZ81D1L168SNeuXWnTpg1Hjx5lzJgxDB06lN9//72YI31EShS7Jk2aqJEjRxre5+bmKg8PDzV16tQC67/88suqa9euRmUBAQHqjTfeKNY4RelR1DF1r5ycHGVra6sWLVpUXCGKUuZRxlROTo5q3ry5+vHHH9WgQYNUt27dnkCkorQo6pj67rvvlJ+fn8rKynpSIYpSpqhjauTIkapt27ZGZWPHjlUtWrQo1jhF6QOo1atX37fO+++/r2rWrGlU1qdPH9WpU6dijOzRyUxeMcvKyiIiIoL27dsbykxMTGjfvj379u0rsM2+ffuM6gN06tSp0Pri2fIoY+peaWlpZGdn4+TkVFxhilLkUcfUZ599hqurK6+99tqTCFOUIo8yptatW0ezZs0YOXIkbm5u1KpViylTppCbm/ukwhZPsUcZU82bNyciIsJwS2d0dDQbN26kS5cuTyRmUbaUtp/PTUs6gLLu5s2b5Obm4ubmZlTu5ubGmTNnCmxz9erVAutfvXq12OIUpcejjKl7ffDBB3h4eOT7x0o8mx5lTO3evZv58+dz9OjRJxChKG0eZUxFR0ezbds2BgwYwMaNG7lw4QJvvvkm2dnZhISEPImwxVPsUcZU//79uXnzJi1btkQpRU5ODsOHD5fbNcUjKezn86SkJNLT07G0tCyhyAomM3lCPGO++OILli5dyurVq7GwsCjpcEQplJycTHBwMPPmzcPZ2bmkwxFlhF6vx9XVlR9++IGGDRvSp08fJk6cyNy5c0s6NFFK7dixgylTpvDtt99y5MgRfv31VzZs2MCkSZNKOjQhip3M5BUzZ2dntFot165dMyq/du0a7u7uBbZxd3cvUn3xbHmUMXXX9OnT+eKLL9iyZQt16tQpzjBFKVLUMRUVFUVMTAwvvPCCoUyv1wNgamrK2bNnqVSpUvEGLZ5qj/LvVPny5TEzM0Or1RrKqlevztWrV8nKysLc3LxYYxZPt0cZUx9//DHBwcEMHToUgNq1a5Oamsrrr7/OxIkTMTGRuQ7x8Ar7+dzOzu6pm8UDmckrdubm5jRs2JCtW7cayvR6PVu3bqVZs2YFtmnWrJlRfYA///yz0Pri2fIoYwpg2rRpTJo0ic2bN9OoUaMnEaooJYo6pqpVq8aJEyc4evSo4fXiiy8aVhzz8vJ6kuGLp9Cj/DvVokULLly4YPiFAcC5c+coX768JHjikcZUWlpavkTu7i8RlFLFF6wok0rdz+clvfLLs2Dp0qVKp9OphQsXqtOnT6vXX39dOTg4qKtXryqllAoODlYffvihof6ePXuUqampmj59uoqMjFQhISHKzMxMnThxoqQuQTxlijqmvvjiC2Vubq5Wrlyp4uPjDa/k5OSSugTxlCnqmLqXrK4p7lXUMRUbG6tsbW3VqFGj1NmzZ9Vvv/2mXF1d1eTJk0vqEsRTpqhjKiQkRNna2qolS5ao6Oho9ccff6hKlSqpl19+uaQuQTxFkpOT1V9//aX++usvBagZM2aov/76S/39999KKaU+/PBDFRwcbKgfHR2trKys1Lhx41RkZKSaM2eO0mq1avPmzSV1CfclSd4T8vXXXytvb29lbm6umjRpovbv3284FhQUpAYNGmRUf/ny5apKlSrK3Nxc1axZU23YsOEJRyyedkUZUz4+PgrI9woJCXnygYunVlH/nfonSfJEQYo6pvbu3asCAgKUTqdTfn5+6vPPP1c5OTlPOGrxNCvKmMrOzlaffvqpqlSpkrKwsFBeXl7qzTffVHfu3HnygYunzvbt2wv82ejuGBo0aJAKCgrK16ZevXrK3Nxc+fn5qQULFjzxuB+WRimZrxZCCCGEEEKIskKeyRNCCCGEEEKIMkSSPCGEEEIIIYQoQyTJE0IIIYQQQogyRJI8IYQQQgghhChDJMkTQgghhBBCiDJEkjwhhBBCCCGEKEMkyRNCCCGEEEKIMkSSPCGEEEIIIYQoQyTJE0IIIZ4CGo2GNWvWABATE4NGo+Ho0aMlGpMQQojSSZI8IYQQz7zBgwej0WjQaDSYmZnh6+vL+++/T0ZGRkmHJoQQQhSZaUkHIIQQQjwNOnfuzIIFC8jOziYiIoJBgwah0Wj48ssvSzo0IYQQokhkJk8IIYQAdDod7u7ueHl50b17d9q3b8+ff/4JgF6vZ+rUqfj6+mJpaUndunVZuXKlUftTp07x/PPPY2dnh62tLYGBgURFRQFw6NAhOnTogLOzM/b29gQFBXHkyJEnfo1CCCGeDZLkCSGEEPc4efIke/fuxdzcHICpU6fy888/M3fuXE6dOsU777zDwIED2blzJwCXL1+mVatW6HQ6tm3bRkREBEOGDCEnJweA5ORkBg0axO7du9m/fz/+/v506dKF5OTkErtGIYQQZZfcrimEEEIAv/32GzY2NuTk5JCZmYmJiQnffPMNmZmZTJkyhS1bttCsWTMA/Pz82L17N99//z1BQUHMmTMHe3t7li5dipmZGQBVqlQxnLtt27ZGff3www84ODiwc+dOnn/++Sd3kUIIIZ4JkuQJIYQQQJs2bfjuu+9ITU3l3//+N6ampvTq1YtTp06RlpZGhw4djOpnZWVRv359AI4ePUpgYKAhwbvXtWvX+Oijj9ixYwfXr18nNzeXtLQ0YmNji/26hBBCPHskyRNCCCEAa2trKleuDMBPP/1E3bp1mT9/PrVq1QJgw4YNeHp6GrXR6XQAWFpa3vfcgwYN4tatW8yaNQsfHx90Oh3NmjUjKyurGK5ECCHEs06SPCGEEOIeJiYmTJgwgbFjx3Lu3Dl0Oh2xsbEEBQUVWL9OnTosWrSI7OzsAmfz9uzZw7fffkuXLl0AiIuL4+bNm8V6DUIIIZ5dsvCKEEIIUYDevXuj1Wr5/vvvee+993jnnXdYtGgRUVFRHDlyhK+//ppFixYBMGrUKJKSkujbty+HDx/m/PnzhIaGcvbsWQD8/f0JDQ0lMjKSAwcOMGDAgAfO/gkhhBCPSmbyhBBCiAKYmpoyatQopk2bxsWLF3FxcWHq1KlER0fj4OBAgwYNmDBhAgDlypVj27ZtjBs3jqCgILRaLfXq1aNFixYAzJ8/n9dff50GDRrg5eXFlClTeO+990ry8oQQQpRhGqWUKukghBBCCCGEEEI8HnK7phBCCCGEEEKUIZLkCSGEEEIIIUQZIkmeEEIIIYQQQpQhkuQJIYQQQgghRBkiSZ4QQgghhBBClCGS5AkhhBBCCCFEGSJJnhBCCCGEEEKUIZLkCSGEEEIIIUQZIkmeEEIIIYQQQpQhkuQJIYQQQgghRBkiSZ4QQgghhBBClCGS5AkhhBBCCCFEGfL/nSq9QExp8TwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== FINAL TEST RESULTS (BASELINE + OPTUNA) ===\n",
      "Test accuracy: 0.8417\n",
      "\n",
      "Test Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.78      0.71      0.74    377220\n",
      "  Analytics & Telemetry       0.81      0.64      0.71     35297\n",
      "              Antivirus       0.94      0.90      0.92    120537\n",
      "Authentication services       0.82      0.75      0.78    145222\n",
      "           Blogs & News       0.79      0.54      0.64     21033\n",
      "             E-commerce       0.71      0.55      0.62     40984\n",
      "           File sharing       0.89      0.76      0.82     73685\n",
      "                  Games       0.85      0.69      0.76     36482\n",
      "    Information systems       0.75      0.44      0.55     13874\n",
      "      Instant messaging       0.87      0.78      0.82    148530\n",
      "                   Mail       0.93      0.95      0.94     64226\n",
      "                  Music       0.89      0.88      0.88    146596\n",
      "Other services and APIs       0.87      0.89      0.88   1019297\n",
      "                 Search       0.85      0.78      0.82    273102\n",
      "                 Social       0.84      0.86      0.85    547485\n",
      "        Streaming media       0.82      0.89      0.85    934513\n",
      "      Videoconferencing       0.78      0.50      0.61      1917\n",
      "\n",
      "               accuracy                           0.84   4000000\n",
      "              macro avg       0.83      0.74      0.78   4000000\n",
      "           weighted avg       0.84      0.84      0.84   4000000\n",
      "\n",
      "\n",
      "=== CONFUSION MATRIX (BASELINE + OPTUNA) ===\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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     "text": [
      "\n",
      "\n",
      "Model           Dataset         Acc (%)    Prec (%)   Rec (%)    F1 (%)     AUC (%)    PRC (%)    Time (s)    \n",
      "LightGBM        Testing         84.169     84.136     84.169     84.001     98.312     92.139     2857.395803 \n"
     ]
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   ],
   "source": [
    "# Load saved model (Baseline + Optuna) and test on test set with timing and metrics\n",
    "print(\"Loading saved model (Baseline + Optuna)...\")\n",
    "model_load_start_time = perf_counter()\n",
    "model_path_optuna = \"saved_model_baseline_optuna/lightgbm_model.pkl\"\n",
    "with open(model_path_optuna, 'rb') as f:\n",
    "    loaded_model_optuna = pickle.load(f)\n",
    "model_load_end_time = perf_counter()\n",
    "model_load_time_optuna = model_load_end_time - model_load_start_time\n",
    "\n",
    "# Load model info (read-only, no updates)\n",
    "with open(\"saved_model_baseline_optuna/lightgbm_model_info.json\", 'r') as f:\n",
    "    model_info_optuna = json.load(f)\n",
    "\n",
    "print(\"Model loaded successfully!\")\n",
    "print(f\"Model loading time: {model_load_time_optuna:.6f} seconds\")\n",
    "print(f\"Model type: {model_info_optuna['model_type']}\")\n",
    "print(f\"Number of features: {model_info_optuna['num_features']}\")\n",
    "print(f\"Number of classes: {model_info_optuna['num_classes']}\")\n",
    "print(f\"Best iteration: {model_info_optuna['best_iteration']}\")\n",
    "\n",
    "# Get label encoder classes\n",
    "class_names_optuna = np.array(model_info_optuna['class_names'])\n",
    "\n",
    "# Predict on test set with timing\n",
    "print(\"\\nPredicting on test set...\")\n",
    "test_pred_start_time = perf_counter()\n",
    "y_test_pred_proba_optuna = loaded_model_optuna.predict(X_test)\n",
    "test_pred_end_time = perf_counter()\n",
    "test_evaluation_time_optuna = test_pred_end_time - test_pred_start_time\n",
    "\n",
    "y_test_pred_optuna = np.argmax(y_test_pred_proba_optuna, axis=1)\n",
    "\n",
    "# Evaluate Test with timing (prints metrics + draws curves)\n",
    "test_metrics_optuna = evaluate_multiclass(\n",
    "    y_test,\n",
    "    y_test_pred_proba_optuna,\n",
    "    set_name=\"Test (Optuna)\",\n",
    "    class_names=class_names_optuna,\n",
    "    plot_curves=True,\n",
    "    evaluation_time=test_evaluation_time_optuna,\n",
    ")\n",
    "\n",
    "# Convert predictions back to original labels for reporting & confusion matrix\n",
    "y_test_labels_optuna = [class_names_optuna[idx] for idx in y_test]\n",
    "y_test_pred_labels_optuna = [class_names_optuna[idx] for idx in y_test_pred_optuna]\n",
    "\n",
    "# Additional summary\n",
    "print(\"\\n=== FINAL TEST RESULTS (BASELINE + OPTUNA) ===\")\n",
    "print(f\"Test accuracy: {accuracy_score(y_test, y_test_pred_optuna):.4f}\")\n",
    "print(\"\\nTest Classification Report:\")\n",
    "print(classification_report(y_test_labels_optuna, y_test_pred_labels_optuna))\n",
    "\n",
    "# Confusion Matrix - Using Plotly like dashboard.py\n",
    "print(\"\\n=== CONFUSION MATRIX (BASELINE + OPTUNA) ===\")\n",
    "cm_optuna = confusion_matrix(y_test, y_test_pred_optuna)\n",
    "\n",
    "\n",
    "# FUNGSI BARU: Membuat label teks kustom agar pendek dan rapi\n",
    "custom_text_labels = []\n",
    "for row in cm_optuna:\n",
    "    row_text = []\n",
    "    for val in row:\n",
    "        if val == 0:\n",
    "            row_text.append(\"\")  # Kosongkan jika 0 (supaya bersih)\n",
    "        elif val >= 1000:\n",
    "            row_text.append(f\"{val/1000:.1f}k\")  # Contoh: 21622 -> 21.6k\n",
    "        else:\n",
    "            row_text.append(str(int(val)))  # Contoh: 5.0 -> 5\n",
    "    custom_text_labels.append(row_text)\n",
    "\n",
    "# Membuat plot dengan Plotly\n",
    "fig_cm = px.imshow(\n",
    "    cm_optuna,\n",
    "    title=\"Confusion Matrix - Test Set (Baseline + Optuna)\",\n",
    "    labels=dict(x=\"Predicted\", y=\"Actual\"),\n",
    "    x=class_names_optuna,\n",
    "    y=class_names_optuna,\n",
    "    color_continuous_scale=\"Blues\",\n",
    ")\n",
    "\n",
    "# Terapkan label kustom yang sudah kita buat\n",
    "fig_cm.update_traces(\n",
    "    text=custom_text_labels,\n",
    "    texttemplate=\"%{text}\",  # Memaksa pakai format teks kita\n",
    "    textfont_size=9          # Ukuran font sedikit dikecilkan\n",
    ")\n",
    "\n",
    "# Perbesar ukuran layout agar kotak tidak sempit\n",
    "fig_cm.update_layout(\n",
    "    width=1000,   # Diperlebar dari 800\n",
    "    height=1000,  # Dipertinggi dari 800\n",
    "    margin=dict(l=150, r=50, t=80, b=150),\n",
    "    xaxis=dict(tickangle=-45, automargin=True),\n",
    "    yaxis=dict(tickangle=0, automargin=True),\n",
    "    coloraxis_colorbar=dict(\n",
    "        len=0.8,\n",
    "        thickness=15,\n",
    "        x=1.02,\n",
    "        xanchor=\"left\",\n",
    "        y=0.5,\n",
    "        yanchor=\"middle\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "fig_cm.show()\n",
    "\n",
    "# Display complete performance summary table (no file updates)\n",
    "print(\"\\n\")\n",
    "print(f\"{'Model':<15} {'Dataset':<15} {'Acc (%)':<10} {'Prec (%)':<10} {'Rec (%)':<10} {'F1 (%)':<10} {'AUC (%)':<10} {'PRC (%)':<10} {'Time (s)':<12}\")\n",
    "print(\n",
    "    f\"{'LightGBM':<15} {'Testing':<15} \"\n",
    "    f\"{test_metrics_optuna['accuracy']*100:<10.3f} \"\n",
    "    f\"{test_metrics_optuna['precision_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics_optuna['recall_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics_optuna['f1_weighted']*100:<10.3f} \"\n",
    "    f\"{(test_metrics_optuna['auroc_weighted_ovr']*100 if test_metrics_optuna['auroc_weighted_ovr'] else 0):<10.3f} \"\n",
    "    f\"{(test_metrics_optuna['auprc_weighted']*100 if test_metrics_optuna['auprc_weighted'] else 0):<10.3f} \"\n",
    "    f\"{test_evaluation_time_optuna:<12.6f}\"\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2ca51ab",
   "metadata": {},
   "source": [
    "### Test 3: RUS + Optuna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8e282fe1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading saved model (RUS + Optuna)...\n",
      "Model loaded successfully!\n",
      "Model loading time: 0.886470 seconds\n",
      "Model type: LightGBM\n",
      "Number of features: 24\n",
      "Number of classes: 17\n",
      "Best iteration: 400\n",
      "\n",
      "Predicting on test set...\n",
      "=== TEST (RUS) METRICS ===\n",
      "Accuracy: 0.8115\n",
      "Precision (weighted): 0.8263\n",
      "Recall (weighted): 0.8115\n",
      "F1 (weighted): 0.8144\n",
      "AUROC (OvR, weighted): 0.9800\n",
      "AUPRC (weighted): 0.9122\n",
      "Evaluation Time: 2031.114789 seconds\n",
      "\n",
      "Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.68      0.76      0.72    377220\n",
      "  Analytics & Telemetry       0.65      0.71      0.68     35297\n",
      "              Antivirus       0.83      0.94      0.88    120537\n",
      "Authentication services       0.61      0.85      0.71    145222\n",
      "           Blogs & News       0.58      0.60      0.59     21033\n",
      "             E-commerce       0.52      0.65      0.58     40984\n",
      "           File sharing       0.70      0.83      0.76     73685\n",
      "                  Games       0.69      0.74      0.71     36482\n",
      "    Information systems       0.56      0.49      0.52     13874\n",
      "      Instant messaging       0.68      0.86      0.76    148530\n",
      "                   Mail       0.89      0.97      0.93     64226\n",
      "                  Music       0.77      0.93      0.84    146596\n",
      "Other services and APIs       0.94      0.81      0.87   1019297\n",
      "                 Search       0.73      0.84      0.78    273102\n",
      "                 Social       0.83      0.85      0.84    547485\n",
      "        Streaming media       0.89      0.77      0.83    934513\n",
      "      Videoconferencing       0.54      0.52      0.53      1917\n",
      "\n",
      "               accuracy                           0.81   4000000\n",
      "              macro avg       0.71      0.77      0.74   4000000\n",
      "           weighted avg       0.83      0.81      0.81   4000000\n",
      "\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== FINAL TEST RESULTS (RUS + OPTUNA) ===\n",
      "Test accuracy: 0.8115\n",
      "\n",
      "Test Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.68      0.76      0.72    377220\n",
      "  Analytics & Telemetry       0.65      0.71      0.68     35297\n",
      "              Antivirus       0.83      0.94      0.88    120537\n",
      "Authentication services       0.61      0.85      0.71    145222\n",
      "           Blogs & News       0.58      0.60      0.59     21033\n",
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      "    Information systems       0.56      0.49      0.52     13874\n",
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      "                  Music       0.77      0.93      0.84    146596\n",
      "Other services and APIs       0.94      0.81      0.87   1019297\n",
      "                 Search       0.73      0.84      0.78    273102\n",
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      "      Videoconferencing       0.54      0.52      0.53      1917\n",
      "\n",
      "               accuracy                           0.81   4000000\n",
      "              macro avg       0.71      0.77      0.74   4000000\n",
      "           weighted avg       0.83      0.81      0.81   4000000\n",
      "\n",
      "\n",
      "=== CONFUSION MATRIX (RUS + OPTUNA) ===\n"
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Model           Dataset         Acc (%)    Prec (%)   Rec (%)    F1 (%)     AUC (%)    PRC (%)    Time (s)    \n",
      "LightGBM        Testing         81.152     82.626     81.152     81.444     97.997     91.215     2031.114789 \n"
     ]
    }
   ],
   "source": [
    "# Load saved model (RUS + Optuna) and test on test set with timing and metrics\n",
    "print(\"Loading saved model (RUS + Optuna)...\")\n",
    "model_load_start_time = perf_counter()\n",
    "model_path_rus = \"saved_model_rus_optuna/lightgbm_model.pkl\"\n",
    "with open(model_path_rus, 'rb') as f:\n",
    "    loaded_model_rus = pickle.load(f)\n",
    "model_load_end_time = perf_counter()\n",
    "model_load_time_rus = model_load_end_time - model_load_start_time\n",
    "\n",
    "# Load model info (read-only, no updates)\n",
    "with open(\"saved_model_rus_optuna/lightgbm_model_info.json\", 'r') as f:\n",
    "    model_info_rus = json.load(f)\n",
    "\n",
    "print(\"Model loaded successfully!\")\n",
    "print(f\"Model loading time: {model_load_time_rus:.6f} seconds\")\n",
    "print(f\"Model type: {model_info_rus['model_type']}\")\n",
    "print(f\"Number of features: {model_info_rus['num_features']}\")\n",
    "print(f\"Number of classes: {model_info_rus['num_classes']}\")\n",
    "print(f\"Best iteration: {model_info_rus['best_iteration']}\")\n",
    "\n",
    "# Get label encoder classes\n",
    "class_names_rus = np.array(model_info_rus['class_names'])\n",
    "\n",
    "# Predict on test set with timing\n",
    "print(\"\\nPredicting on test set...\")\n",
    "test_pred_start_time = perf_counter()\n",
    "y_test_pred_proba_rus = loaded_model_rus.predict(X_test)\n",
    "test_pred_end_time = perf_counter()\n",
    "test_evaluation_time_rus = test_pred_end_time - test_pred_start_time\n",
    "\n",
    "y_test_pred_rus = np.argmax(y_test_pred_proba_rus, axis=1)\n",
    "\n",
    "# Evaluate Test with timing (prints metrics + draws curves)\n",
    "test_metrics_rus = evaluate_multiclass(\n",
    "    y_test,\n",
    "    y_test_pred_proba_rus,\n",
    "    set_name=\"Test (RUS)\",\n",
    "    class_names=class_names_rus,\n",
    "    plot_curves=True,\n",
    "    evaluation_time=test_evaluation_time_rus,\n",
    ")\n",
    "\n",
    "# Convert predictions back to original labels for reporting & confusion matrix\n",
    "y_test_labels_rus = [class_names_rus[idx] for idx in y_test]\n",
    "y_test_pred_labels_rus = [class_names_rus[idx] for idx in y_test_pred_rus]\n",
    "\n",
    "# Additional summary\n",
    "print(\"\\n=== FINAL TEST RESULTS (RUS + OPTUNA) ===\")\n",
    "print(f\"Test accuracy: {accuracy_score(y_test, y_test_pred_rus):.4f}\")\n",
    "print(\"\\nTest Classification Report:\")\n",
    "print(classification_report(y_test_labels_rus, y_test_pred_labels_rus))\n",
    "\n",
    "# Confusion Matrix - Using Plotly like dashboard.py\n",
    "print(\"\\n=== CONFUSION MATRIX (RUS + OPTUNA) ===\")\n",
    "cm_rus = confusion_matrix(y_test, y_test_pred_rus)\n",
    "\n",
    "# FUNGSI BARU: Membuat label teks kustom agar pendek dan rapi\n",
    "custom_text_labels_rus = []\n",
    "for row in cm_rus:\n",
    "    row_text = []\n",
    "    for val in row:\n",
    "        if val == 0:\n",
    "            row_text.append(\"\")  # Kosongkan jika 0 (supaya bersih)\n",
    "        elif val >= 1000:\n",
    "            row_text.append(f\"{val/1000:.1f}k\")  # Contoh: 21622 -> 21.6k\n",
    "        else:\n",
    "            row_text.append(str(int(val)))  # Contoh: 5.0 -> 5\n",
    "    custom_text_labels_rus.append(row_text)\n",
    "\n",
    "# Membuat plot dengan Plotly\n",
    "fig_cm_rus = px.imshow(\n",
    "    cm_rus,\n",
    "    title=\"Confusion Matrix - Test Set (RUS + Optuna)\",\n",
    "    labels=dict(x=\"Predicted\", y=\"Actual\"),\n",
    "    x=class_names_rus,\n",
    "    y=class_names_rus,\n",
    "    color_continuous_scale=\"Blues\",\n",
    ")\n",
    "\n",
    "# Terapkan label kustom yang sudah kita buat\n",
    "fig_cm_rus.update_traces(\n",
    "    text=custom_text_labels_rus,\n",
    "    texttemplate=\"%{text}\",  # Memaksa pakai format teks kita\n",
    "    textfont_size=9          # Ukuran font sedikit dikecilkan\n",
    ")\n",
    "\n",
    "# Perbesar ukuran layout agar kotak tidak sempit\n",
    "fig_cm_rus.update_layout(\n",
    "    width=1000,   # Diperlebar dari 800\n",
    "    height=1000,  # Dipertinggi dari 800\n",
    "    margin=dict(l=150, r=50, t=80, b=150),\n",
    "    xaxis=dict(tickangle=-45, automargin=True),\n",
    "    yaxis=dict(tickangle=0, automargin=True),\n",
    "    coloraxis_colorbar=dict(\n",
    "        len=0.8,\n",
    "        thickness=15,\n",
    "        x=1.02,\n",
    "        xanchor=\"left\",\n",
    "        y=0.5,\n",
    "        yanchor=\"middle\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "fig_cm_rus.show()\n",
    "\n",
    "# Display complete performance summary table (no file updates)\n",
    "print(\"\\n\")\n",
    "print(f\"{'Model':<15} {'Dataset':<15} {'Acc (%)':<10} {'Prec (%)':<10} {'Rec (%)':<10} {'F1 (%)':<10} {'AUC (%)':<10} {'PRC (%)':<10} {'Time (s)':<12}\")\n",
    "print(\n",
    "    f\"{'LightGBM':<15} {'Testing':<15} \"\n",
    "    f\"{test_metrics_rus['accuracy']*100:<10.3f} \"\n",
    "    f\"{test_metrics_rus['precision_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics_rus['recall_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics_rus['f1_weighted']*100:<10.3f} \"\n",
    "    f\"{(test_metrics_rus['auroc_weighted_ovr']*100 if test_metrics_rus['auroc_weighted_ovr'] else 0):<10.3f} \"\n",
    "    f\"{(test_metrics_rus['auprc_weighted']*100 if test_metrics_rus['auprc_weighted'] else 0):<10.3f} \"\n",
    "    f\"{test_evaluation_time_rus:<12.6f}\"\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "465ad286",
   "metadata": {},
   "source": [
    "### Test 4: SMOTE + Optuna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ba3f3fa9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading saved model (SMOTE + Optuna)...\n",
      "Model loaded successfully!\n",
      "Model loading time: 0.721646 seconds\n",
      "Model type: LightGBM\n",
      "Number of features: 24\n",
      "Number of classes: 17\n",
      "Best iteration: 300\n",
      "\n",
      "Predicting on test set...\n",
      "=== TEST (SMOTE) METRICS ===\n",
      "Accuracy: 0.8382\n",
      "Precision (weighted): 0.8379\n",
      "Recall (weighted): 0.8382\n",
      "F1 (weighted): 0.8369\n",
      "AUROC (OvR, weighted): 0.9825\n",
      "AUPRC (weighted): 0.9185\n",
      "Evaluation Time: 1390.191657 seconds\n",
      "\n",
      "Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.78      0.71      0.74    377220\n",
      "  Analytics & Telemetry       0.78      0.64      0.70     35297\n",
      "              Antivirus       0.94      0.90      0.92    120537\n",
      "Authentication services       0.82      0.74      0.78    145222\n",
      "           Blogs & News       0.64      0.57      0.61     21033\n",
      "             E-commerce       0.67      0.55      0.61     40984\n",
      "           File sharing       0.89      0.75      0.81     73685\n",
      "                  Games       0.81      0.68      0.74     36482\n",
      "    Information systems       0.48      0.50      0.49     13874\n",
      "      Instant messaging       0.87      0.77      0.82    148530\n",
      "                   Mail       0.93      0.95      0.94     64226\n",
      "                  Music       0.89      0.87      0.88    146596\n",
      "Other services and APIs       0.86      0.89      0.88   1019297\n",
      "                 Search       0.85      0.78      0.81    273102\n",
      "                 Social       0.84      0.86      0.85    547485\n",
      "        Streaming media       0.82      0.89      0.85    934513\n",
      "      Videoconferencing       0.38      0.58      0.46      1917\n",
      "\n",
      "               accuracy                           0.84   4000000\n",
      "              macro avg       0.78      0.74      0.76   4000000\n",
      "           weighted avg       0.84      0.84      0.84   4000000\n",
      "\n"
     ]
    },
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     "data": {
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",
      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== FINAL TEST RESULTS (SMOTE + OPTUNA) ===\n",
      "Test accuracy: 0.8382\n",
      "\n",
      "Test Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.78      0.71      0.74    377220\n",
      "  Analytics & Telemetry       0.78      0.64      0.70     35297\n",
      "              Antivirus       0.94      0.90      0.92    120537\n",
      "Authentication services       0.82      0.74      0.78    145222\n",
      "           Blogs & News       0.64      0.57      0.61     21033\n",
      "             E-commerce       0.67      0.55      0.61     40984\n",
      "           File sharing       0.89      0.75      0.81     73685\n",
      "                  Games       0.81      0.68      0.74     36482\n",
      "    Information systems       0.48      0.50      0.49     13874\n",
      "      Instant messaging       0.87      0.77      0.82    148530\n",
      "                   Mail       0.93      0.95      0.94     64226\n",
      "                  Music       0.89      0.87      0.88    146596\n",
      "Other services and APIs       0.86      0.89      0.88   1019297\n",
      "                 Search       0.85      0.78      0.81    273102\n",
      "                 Social       0.84      0.86      0.85    547485\n",
      "        Streaming media       0.82      0.89      0.85    934513\n",
      "      Videoconferencing       0.38      0.58      0.46      1917\n",
      "\n",
      "               accuracy                           0.84   4000000\n",
      "              macro avg       0.78      0.74      0.76   4000000\n",
      "           weighted avg       0.84      0.84      0.84   4000000\n",
      "\n",
      "\n",
      "=== CONFUSION MATRIX (SMOTE + OPTUNA) ===\n"
     ]
    },
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     "text": [
      "\n",
      "\n",
      "Model           Dataset         Acc (%)    Prec (%)   Rec (%)    F1 (%)     AUC (%)    PRC (%)    Time (s)    \n",
      "LightGBM        Testing         83.818     83.787     83.818     83.690     98.246     91.850     1390.191657 \n"
     ]
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   ],
   "source": [
    "# Load saved model (SMOTE + Optuna) and test on test set with timing and metrics\n",
    "print(\"Loading saved model (SMOTE + Optuna)...\")\n",
    "model_load_start_time = perf_counter()\n",
    "model_path_smote = \"saved_model_smote_optuna/lightgbm_model.pkl\"\n",
    "with open(model_path_smote, 'rb') as f:\n",
    "    loaded_model_smote = pickle.load(f)\n",
    "model_load_end_time = perf_counter()\n",
    "model_load_time_smote = model_load_end_time - model_load_start_time\n",
    "\n",
    "# Load model info (read-only, no updates)\n",
    "with open(\"saved_model_smote_optuna/lightgbm_model_info.json\", 'r') as f:\n",
    "    model_info_smote = json.load(f)\n",
    "\n",
    "print(\"Model loaded successfully!\")\n",
    "print(f\"Model loading time: {model_load_time_smote:.6f} seconds\")\n",
    "print(f\"Model type: {model_info_smote['model_type']}\")\n",
    "print(f\"Number of features: {model_info_smote['num_features']}\")\n",
    "print(f\"Number of classes: {model_info_smote['num_classes']}\")\n",
    "print(f\"Best iteration: {model_info_smote['best_iteration']}\")\n",
    "\n",
    "# Get label encoder classes\n",
    "class_names_smote = np.array(model_info_smote['class_names'])\n",
    "\n",
    "# Predict on test set with timing\n",
    "print(\"\\nPredicting on test set...\")\n",
    "test_pred_start_time = perf_counter()\n",
    "y_test_pred_proba_smote = loaded_model_smote.predict(X_test)\n",
    "test_pred_end_time = perf_counter()\n",
    "test_evaluation_time_smote = test_pred_end_time - test_pred_start_time\n",
    "\n",
    "y_test_pred_smote = np.argmax(y_test_pred_proba_smote, axis=1)\n",
    "\n",
    "# Evaluate Test with timing (prints metrics + draws curves)\n",
    "test_metrics_smote = evaluate_multiclass(\n",
    "    y_test,\n",
    "    y_test_pred_proba_smote,\n",
    "    set_name=\"Test (SMOTE)\",\n",
    "    class_names=class_names_smote,\n",
    "    plot_curves=True,\n",
    "    evaluation_time=test_evaluation_time_smote,\n",
    ")\n",
    "\n",
    "# Convert predictions back to original labels for reporting & confusion matrix\n",
    "y_test_labels_smote = [class_names_smote[idx] for idx in y_test]\n",
    "y_test_pred_labels_smote = [class_names_smote[idx] for idx in y_test_pred_smote]\n",
    "\n",
    "# Additional summary\n",
    "print(\"\\n=== FINAL TEST RESULTS (SMOTE + OPTUNA) ===\")\n",
    "print(f\"Test accuracy: {accuracy_score(y_test, y_test_pred_smote):.4f}\")\n",
    "print(\"\\nTest Classification Report:\")\n",
    "print(classification_report(y_test_labels_smote, y_test_pred_labels_smote))\n",
    "\n",
    "# Confusion Matrix - Using Plotly like dashboard.py\n",
    "print(\"\\n=== CONFUSION MATRIX (SMOTE + OPTUNA) ===\")\n",
    "cm_smote = confusion_matrix(y_test, y_test_pred_smote)\n",
    "\n",
    "# FUNGSI BARU: Membuat label teks kustom agar pendek dan rapi\n",
    "custom_text_labels_smote = []\n",
    "for row in cm_smote:\n",
    "    row_text = []\n",
    "    for val in row:\n",
    "        if val == 0:\n",
    "            row_text.append(\"\")  # Kosongkan jika 0 (supaya bersih)\n",
    "        elif val >= 1000:\n",
    "            row_text.append(f\"{val/1000:.1f}k\")  # Contoh: 21622 -> 21.6k\n",
    "        else:\n",
    "            row_text.append(str(int(val)))  # Contoh: 5.0 -> 5\n",
    "    custom_text_labels_smote.append(row_text)\n",
    "\n",
    "# Membuat plot dengan Plotly\n",
    "fig_cm_smote = px.imshow(\n",
    "    cm_smote,\n",
    "    title=\"Confusion Matrix - Test Set (SMOTE + Optuna)\",\n",
    "    labels=dict(x=\"Predicted\", y=\"Actual\"),\n",
    "    x=class_names_smote,\n",
    "    y=class_names_smote,\n",
    "    color_continuous_scale=\"Blues\",\n",
    ")\n",
    "\n",
    "# Terapkan label kustom yang sudah kita buat\n",
    "fig_cm_smote.update_traces(\n",
    "    text=custom_text_labels_smote,\n",
    "    texttemplate=\"%{text}\",  # Memaksa pakai format teks kita\n",
    "    textfont_size=9          # Ukuran font sedikit dikecilkan\n",
    ")\n",
    "\n",
    "# Perbesar ukuran layout agar kotak tidak sempit\n",
    "fig_cm_smote.update_layout(\n",
    "    width=1000,   # Diperlebar dari 800\n",
    "    height=1000,  # Dipertinggi dari 800\n",
    "    margin=dict(l=150, r=50, t=80, b=150),\n",
    "    xaxis=dict(tickangle=-45, automargin=True),\n",
    "    yaxis=dict(tickangle=0, automargin=True),\n",
    "    coloraxis_colorbar=dict(\n",
    "        len=0.8,\n",
    "        thickness=15,\n",
    "        x=1.02,\n",
    "        xanchor=\"left\",\n",
    "        y=0.5,\n",
    "        yanchor=\"middle\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "fig_cm_smote.show()\n",
    "\n",
    "# Display complete performance summary table (no file updates)\n",
    "print(\"\\n\")\n",
    "print(f\"{'Model':<15} {'Dataset':<15} {'Acc (%)':<10} {'Prec (%)':<10} {'Rec (%)':<10} {'F1 (%)':<10} {'AUC (%)':<10} {'PRC (%)':<10} {'Time (s)':<12}\")\n",
    "print(\n",
    "    f\"{'LightGBM':<15} {'Testing':<15} \"\n",
    "    f\"{test_metrics_smote['accuracy']*100:<10.3f} \"\n",
    "    f\"{test_metrics_smote['precision_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics_smote['recall_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics_smote['f1_weighted']*100:<10.3f} \"\n",
    "    f\"{(test_metrics_smote['auroc_weighted_ovr']*100 if test_metrics_smote['auroc_weighted_ovr'] else 0):<10.3f} \"\n",
    "    f\"{(test_metrics_smote['auprc_weighted']*100 if test_metrics_smote['auprc_weighted'] else 0):<10.3f} \"\n",
    "    f\"{test_evaluation_time_smote:<12.6f}\"\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66dc24fa",
   "metadata": {},
   "source": [
    "### Test 5: SMOTE-RUS + Optuna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ad5322ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading saved model (SMOTE-RUS + Optuna)...\n",
      "Model loaded successfully!\n",
      "Model loading time: 0.889750 seconds\n",
      "Model type: LightGBM\n",
      "Number of features: 24\n",
      "Number of classes: 17\n",
      "Best iteration: 400\n",
      "\n",
      "Predicting on test set...\n",
      "=== TEST (SMOTE-RUS) METRICS ===\n",
      "Accuracy: 0.8077\n",
      "Precision (weighted): 0.8250\n",
      "Recall (weighted): 0.8077\n",
      "F1 (weighted): 0.8115\n",
      "AUROC (OvR, weighted): 0.9796\n",
      "AUPRC (weighted): 0.9105\n",
      "Evaluation Time: 1921.727369 seconds\n",
      "\n",
      "Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.68      0.76      0.72    377220\n",
      "  Analytics & Telemetry       0.53      0.73      0.62     35297\n",
      "              Antivirus       0.84      0.94      0.89    120537\n",
      "Authentication services       0.62      0.85      0.72    145222\n",
      "           Blogs & News       0.46      0.65      0.54     21033\n",
      "             E-commerce       0.49      0.65      0.56     40984\n",
      "           File sharing       0.70      0.82      0.76     73685\n",
      "                  Games       0.66      0.74      0.70     36482\n",
      "    Information systems       0.38      0.56      0.45     13874\n",
      "      Instant messaging       0.69      0.85      0.76    148530\n",
      "                   Mail       0.89      0.98      0.93     64226\n",
      "                  Music       0.78      0.92      0.84    146596\n",
      "Other services and APIs       0.94      0.81      0.87   1019297\n",
      "                 Search       0.74      0.83      0.78    273102\n",
      "                 Social       0.83      0.84      0.84    547485\n",
      "        Streaming media       0.89      0.76      0.82    934513\n",
      "      Videoconferencing       0.27      0.60      0.37      1917\n",
      "\n",
      "               accuracy                           0.81   4000000\n",
      "              macro avg       0.67      0.78      0.71   4000000\n",
      "           weighted avg       0.82      0.81      0.81   4000000\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 900x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== FINAL TEST RESULTS (SMOTE-RUS + OPTUNA) ===\n",
      "Test accuracy: 0.8077\n",
      "\n",
      "Test Classification Report:\n",
      "                         precision    recall  f1-score   support\n",
      "\n",
      "            Advertising       0.68      0.76      0.72    377220\n",
      "  Analytics & Telemetry       0.53      0.73      0.62     35297\n",
      "              Antivirus       0.84      0.94      0.89    120537\n",
      "Authentication services       0.62      0.85      0.72    145222\n",
      "           Blogs & News       0.46      0.65      0.54     21033\n",
      "             E-commerce       0.49      0.65      0.56     40984\n",
      "           File sharing       0.70      0.82      0.76     73685\n",
      "                  Games       0.66      0.74      0.70     36482\n",
      "    Information systems       0.38      0.56      0.45     13874\n",
      "      Instant messaging       0.69      0.85      0.76    148530\n",
      "                   Mail       0.89      0.98      0.93     64226\n",
      "                  Music       0.78      0.92      0.84    146596\n",
      "Other services and APIs       0.94      0.81      0.87   1019297\n",
      "                 Search       0.74      0.83      0.78    273102\n",
      "                 Social       0.83      0.84      0.84    547485\n",
      "        Streaming media       0.89      0.76      0.82    934513\n",
      "      Videoconferencing       0.27      0.60      0.37      1917\n",
      "\n",
      "               accuracy                           0.81   4000000\n",
      "              macro avg       0.67      0.78      0.71   4000000\n",
      "           weighted avg       0.82      0.81      0.81   4000000\n",
      "\n",
      "\n",
      "=== CONFUSION MATRIX (SMOTE-RUS + OPTUNA) ===\n"
     ]
    },
    {
     "data": {
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       "config": {
        "plotlyServerURL": "https://plot.ly"
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",
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     "text": [
      "\n",
      "\n",
      "Model           Dataset         Acc (%)    Prec (%)   Rec (%)    F1 (%)     AUC (%)    PRC (%)    Time (s)    \n",
      "LightGBM        Testing         80.768     82.496     80.768     81.155     97.956     91.048     1921.727369 \n"
     ]
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   ],
   "source": [
    "# Load saved model (SMOTE-RUS + Optuna) and test on test set with timing and metrics\n",
    "print(\"Loading saved model (SMOTE-RUS + Optuna)...\")\n",
    "model_load_start_time = perf_counter()\n",
    "model_path_smote_rus = \"saved_model_smote-rus_optuna/lightgbm_model.pkl\"\n",
    "with open(model_path_smote_rus, 'rb') as f:\n",
    "    loaded_model_smote_rus = pickle.load(f)\n",
    "model_load_end_time = perf_counter()\n",
    "model_load_time_smote_rus = model_load_end_time - model_load_start_time\n",
    "\n",
    "# Load model info (read-only, no updates)\n",
    "with open(\"saved_model_smote-rus_optuna/lightgbm_model_info.json\", 'r') as f:\n",
    "    model_info_smote_rus = json.load(f)\n",
    "\n",
    "print(\"Model loaded successfully!\")\n",
    "print(f\"Model loading time: {model_load_time_smote_rus:.6f} seconds\")\n",
    "print(f\"Model type: {model_info_smote_rus['model_type']}\")\n",
    "print(f\"Number of features: {model_info_smote_rus['num_features']}\")\n",
    "print(f\"Number of classes: {model_info_smote_rus['num_classes']}\")\n",
    "print(f\"Best iteration: {model_info_smote_rus['best_iteration']}\")\n",
    "\n",
    "# Get label encoder classes\n",
    "class_names_smote_rus = np.array(model_info_smote_rus['class_names'])\n",
    "\n",
    "# Predict on test set with timing\n",
    "print(\"\\nPredicting on test set...\")\n",
    "test_pred_start_time = perf_counter()\n",
    "y_test_pred_proba_smote_rus = loaded_model_smote_rus.predict(X_test)\n",
    "test_pred_end_time = perf_counter()\n",
    "test_evaluation_time_smote_rus = test_pred_end_time - test_pred_start_time\n",
    "\n",
    "y_test_pred_smote_rus = np.argmax(y_test_pred_proba_smote_rus, axis=1)\n",
    "\n",
    "# Evaluate Test with timing (prints metrics + draws curves)\n",
    "test_metrics_smote_rus = evaluate_multiclass(\n",
    "    y_test,\n",
    "    y_test_pred_proba_smote_rus,\n",
    "    set_name=\"Test (SMOTE-RUS)\",\n",
    "    class_names=class_names_smote_rus,\n",
    "    plot_curves=True,\n",
    "    evaluation_time=test_evaluation_time_smote_rus,\n",
    ")\n",
    "\n",
    "# Convert predictions back to original labels for reporting & confusion matrix\n",
    "y_test_labels_smote_rus = [class_names_smote_rus[idx] for idx in y_test]\n",
    "y_test_pred_labels_smote_rus = [class_names_smote_rus[idx] for idx in y_test_pred_smote_rus]\n",
    "\n",
    "# Additional summary\n",
    "print(\"\\n=== FINAL TEST RESULTS (SMOTE-RUS + OPTUNA) ===\")\n",
    "print(f\"Test accuracy: {accuracy_score(y_test, y_test_pred_smote_rus):.4f}\")\n",
    "print(\"\\nTest Classification Report:\")\n",
    "print(classification_report(y_test_labels_smote_rus, y_test_pred_labels_smote_rus))\n",
    "\n",
    "# Confusion Matrix - Using Plotly like dashboard.py\n",
    "print(\"\\n=== CONFUSION MATRIX (SMOTE-RUS + OPTUNA) ===\")\n",
    "cm_smote_rus = confusion_matrix(y_test, y_test_pred_smote_rus)\n",
    "\n",
    "# FUNGSI BARU: Membuat label teks kustom agar pendek dan rapi\n",
    "custom_text_labels_smote_rus = []\n",
    "for row in cm_smote_rus:\n",
    "    row_text = []\n",
    "    for val in row:\n",
    "        if val == 0:\n",
    "            row_text.append(\"\")  # Kosongkan jika 0 (supaya bersih)\n",
    "        elif val >= 1000:\n",
    "            row_text.append(f\"{val/1000:.1f}k\")  # Contoh: 21622 -> 21.6k\n",
    "        else:\n",
    "            row_text.append(str(int(val)))  # Contoh: 5.0 -> 5\n",
    "    custom_text_labels_smote_rus.append(row_text)\n",
    "\n",
    "# Membuat plot dengan Plotly\n",
    "fig_cm_smote_rus = px.imshow(\n",
    "    cm_smote_rus,\n",
    "    title=\"Confusion Matrix - Test Set (SMOTE-RUS + Optuna)\",\n",
    "    labels=dict(x=\"Predicted\", y=\"Actual\"),\n",
    "    x=class_names_smote_rus,\n",
    "    y=class_names_smote_rus,\n",
    "    color_continuous_scale=\"Blues\",\n",
    ")\n",
    "\n",
    "# Terapkan label kustom yang sudah kita buat\n",
    "fig_cm_smote_rus.update_traces(\n",
    "    text=custom_text_labels_smote_rus,\n",
    "    texttemplate=\"%{text}\",  # Memaksa pakai format teks kita\n",
    "    textfont_size=9          # Ukuran font sedikit dikecilkan\n",
    ")\n",
    "\n",
    "# Perbesar ukuran layout agar kotak tidak sempit\n",
    "fig_cm_smote_rus.update_layout(\n",
    "    width=1000,   # Diperlebar dari 800\n",
    "    height=1000,  # Dipertinggi dari 800\n",
    "    margin=dict(l=150, r=50, t=80, b=150),\n",
    "    xaxis=dict(tickangle=-45, automargin=True),\n",
    "    yaxis=dict(tickangle=0, automargin=True),\n",
    "    coloraxis_colorbar=dict(\n",
    "        len=0.8,\n",
    "        thickness=15,\n",
    "        x=1.02,\n",
    "        xanchor=\"left\",\n",
    "        y=0.5,\n",
    "        yanchor=\"middle\",\n",
    "    ),\n",
    ")\n",
    "\n",
    "fig_cm_smote_rus.show()\n",
    "\n",
    "# Display complete performance summary table (no file updates)\n",
    "print(\"\\n\")\n",
    "print(f\"{'Model':<15} {'Dataset':<15} {'Acc (%)':<10} {'Prec (%)':<10} {'Rec (%)':<10} {'F1 (%)':<10} {'AUC (%)':<10} {'PRC (%)':<10} {'Time (s)':<12}\")\n",
    "print(\n",
    "    f\"{'LightGBM':<15} {'Testing':<15} \"\n",
    "    f\"{test_metrics_smote_rus['accuracy']*100:<10.3f} \"\n",
    "    f\"{test_metrics_smote_rus['precision_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics_smote_rus['recall_weighted']*100:<10.3f} \"\n",
    "    f\"{test_metrics_smote_rus['f1_weighted']*100:<10.3f} \"\n",
    "    f\"{(test_metrics_smote_rus['auroc_weighted_ovr']*100 if test_metrics_smote_rus['auroc_weighted_ovr'] else 0):<10.3f} \"\n",
    "    f\"{(test_metrics_smote_rus['auprc_weighted']*100 if test_metrics_smote_rus['auprc_weighted'] else 0):<10.3f} \"\n",
    "    f\"{test_evaluation_time_smote_rus:<12.6f}\"\n",
    ")\n"
   ]
  }
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