diff --git a/Computer Vision/Face-expression recommendation system/Emotion_Detection.ipynb b/Computer Vision/Face-expression recommendation system/Emotion_Detection.ipynb
index 0bd32669..e798151e 100644
--- a/Computer Vision/Face-expression recommendation system/Emotion_Detection.ipynb	
+++ b/Computer Vision/Face-expression recommendation system/Emotion_Detection.ipynb	
@@ -1,5885 +1,2369 @@
 {
-  "cells": [
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "EKRMS0QP5rIp"
+   },
+   "source": [
+    "# **Downloading Dataset**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "4AH8g3tMhyDF",
+    "outputId": "db9557db-e026-41c8-e446-a6f83decc1b0"
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
-      },
-      "source": [
-        "<a href=\"https://colab.research.google.com/github/Atharva-D/Moodify/blob/main/Emotion_Detection.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
-      ]
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: kaggle in c:\\programdata\\anaconda3\\lib\\site-packages (1.6.17)\n",
+      "Requirement already satisfied: six>=1.10 in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (1.16.0)\n",
+      "Requirement already satisfied: certifi>=2023.7.22 in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (2024.8.30)\n",
+      "Requirement already satisfied: python-dateutil in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (2.9.0.post0)\n",
+      "Requirement already satisfied: requests in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (2.32.3)\n",
+      "Requirement already satisfied: tqdm in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (4.66.5)\n",
+      "Requirement already satisfied: python-slugify in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (5.0.2)\n",
+      "Requirement already satisfied: urllib3 in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (2.2.3)\n",
+      "Requirement already satisfied: bleach in c:\\programdata\\anaconda3\\lib\\site-packages (from kaggle) (4.1.0)\n",
+      "Requirement already satisfied: packaging in c:\\programdata\\anaconda3\\lib\\site-packages (from bleach->kaggle) (24.1)\n",
+      "Requirement already satisfied: webencodings in c:\\programdata\\anaconda3\\lib\\site-packages (from bleach->kaggle) (0.5.1)\n",
+      "Requirement already satisfied: text-unidecode>=1.3 in c:\\programdata\\anaconda3\\lib\\site-packages (from python-slugify->kaggle) (1.3)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests->kaggle) (3.3.2)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests->kaggle) (3.7)\n",
+      "Requirement already satisfied: colorama in c:\\programdata\\anaconda3\\lib\\site-packages (from tqdm->kaggle) (0.4.6)\n"
+     ]
     },
     {
-      "cell_type": "markdown",
-      "source": [
-        "# **Downloading Dataset**"
-      ],
-      "metadata": {
-        "id": "EKRMS0QP5rIp"
-      }
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "The syntax of the command is incorrect.\n",
+      "cp: cannot stat 'kaggle.json': No such file or directory\n",
+      "chmod: cannot access '~/.kaggle/kaggle.json': No such file or directory\n"
+     ]
     },
     {
-      "cell_type": "code",
-      "execution_count": 1,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "4AH8g3tMhyDF",
-        "outputId": "db9557db-e026-41c8-e446-a6f83decc1b0"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Requirement already satisfied: kaggle in /usr/local/lib/python3.7/dist-packages (1.5.12)\n",
-            "Requirement already satisfied: requests in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.23.0)\n",
-            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from kaggle) (4.62.3)\n",
-            "Requirement already satisfied: six>=1.10 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.15.0)\n",
-            "Requirement already satisfied: python-slugify in /usr/local/lib/python3.7/dist-packages (from kaggle) (5.0.2)\n",
-            "Requirement already satisfied: certifi in /usr/local/lib/python3.7/dist-packages (from kaggle) (2021.10.8)\n",
-            "Requirement already satisfied: python-dateutil in /usr/local/lib/python3.7/dist-packages (from kaggle) (2.8.2)\n",
-            "Requirement already satisfied: urllib3 in /usr/local/lib/python3.7/dist-packages (from kaggle) (1.24.3)\n",
-            "Requirement already satisfied: text-unidecode>=1.3 in /usr/local/lib/python3.7/dist-packages (from python-slugify->kaggle) (1.3)\n",
-            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (3.0.4)\n",
-            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->kaggle) (2.10)\n",
-            "Downloading face-expression-recognition-dataset.zip to /content\n",
-            " 93% 112M/121M [00:00<00:00, 228MB/s] \n",
-            "100% 121M/121M [00:00<00:00, 223MB/s]\n"
-          ]
-        }
-      ],
-      "source": [
-        "!pip install kaggle\n",
-        "! mkdir ~/.kaggle\n",
-        "! cp kaggle.json ~/.kaggle/\n",
-        "! chmod 600 ~/.kaggle/kaggle.json\n",
-        "! kaggle datasets download -d jonathanoheix/face-expression-recognition-dataset"
-      ]
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dataset URL: https://www.kaggle.com/datasets/jonathanoheix/face-expression-recognition-dataset\n",
+      "License(s): unknown\n",
+      "Downloading face-expression-recognition-dataset.zip to d:\\ML-Nexus\\Computer Vision\\Face-expression recommendation system\n",
+      "\n"
+     ]
     },
     {
-      "cell_type": "markdown",
-      "source": [
-        "#**Unzipping the dataset**"
-      ],
-      "metadata": {
-        "id": "7FFPSFnI_Qvu"
-      }
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
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+     ]
+    }
+   ],
+   "source": [
+    "! pip install kaggle\n",
+    "! mkdir ~/.kaggle\n",
+    "! cp kaggle.json ~/.kaggle/\n",
+    "! chmod 600 ~/.kaggle/kaggle.json\n",
+    "! kaggle datasets download -d jonathanoheix/face-expression-recognition-dataset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "7FFPSFnI_Qvu"
+   },
+   "source": [
+    "# **Unzipping the dataset**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "UYy1Inzh7yle",
+    "outputId": "acebfc98-5b5d-4c13-9148-da0ceb8a5f40"
+   },
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 2,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "UYy1Inzh7yle",
-        "outputId": "acebfc98-5b5d-4c13-9148-da0ceb8a5f40"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
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-          ]
-        }
-      ],
-      "source": [
-        "\n",
-        "!unzip face-expression-recognition-dataset"
-      ]
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "^C\n"
+     ]
+    }
+   ],
+   "source": [
+    "!unzip face-expression-recognition-dataset"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "DBybnKiEP1kj"
+   },
+   "source": [
+    "# **Importing necessary libraries**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {
+    "id": "thBLz8Wo9uFJ"
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import os\n",
+    "\n",
+    "from tensorflow.keras.layers import Flatten, Dense, Conv2D, Dropout, MaxPooling2D\n",
+    "from tensorflow.keras.models import Model, Sequential\n",
+    "from tensorflow.keras.preprocessing.image import ImageDataGenerator, img_to_array, load_img\n",
+    "from tensorflow.keras.applications import MobileNet, MobileNetV2\n",
+    "from tensorflow.keras.applications.mobilenet_v2 import preprocess_input\n",
+    "from tensorflow.keras.losses import categorical_crossentropy"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "MYrSECB4_nTG"
+   },
+   "source": [
+    "## **Training Data**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "rskmL3tL91nL",
+    "outputId": "44e810e6-73ae-409d-96a6-aaeec7cf2c5d"
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "source": [
-        "#**Importing necessary libraries**"
-      ],
-      "metadata": {
-        "id": "DBybnKiEP1kj"
-      }
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 28821 images belonging to 7 classes.\n"
+     ]
     },
     {
-      "cell_type": "code",
-      "execution_count": 4,
-      "metadata": {
-        "id": "thBLz8Wo9uFJ"
-      },
-      "outputs": [],
-      "source": [
-        "import numpy as np\n",
-        "import pandas as pd\n",
-        "import matplotlib.pyplot as plt\n",
-        "\n",
-        "from keras.layers import Flatten, Dense\n",
-        "from keras.models import Model\n",
-        "from keras.preprocessing.image import ImageDataGenerator , img_to_array, load_img\n",
-        "from tensorflow.keras.applications import MobileNetV2\n",
-        "from keras.applications.mobilenet import MobileNet, preprocess_input \n",
-        "from keras.losses import categorical_crossentropy"
+     "data": {
+      "text/plain": [
+       "{'angry': 0,\n",
+       " 'disgust': 1,\n",
+       " 'fear': 2,\n",
+       " 'happy': 3,\n",
+       " 'neutral': 4,\n",
+       " 'sad': 5,\n",
+       " 'surprise': 6}"
       ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train_datagen = ImageDataGenerator(\n",
+    "     zoom_range = 0.2, \n",
+    "     shear_range = 0.2, \n",
+    "     horizontal_flip=True, \n",
+    "     rescale = 1./255\n",
+    ")\n",
+    "\n",
+    "train_data = train_datagen.flow_from_directory(directory= \"D:/ML-Nexus/Computer Vision/Face-expression recommendation system/face-expression-recognition-dataset/images/train\", \n",
+    "                                               target_size=(224,224), \n",
+    "                                               batch_size=32,\n",
+    "                                  )\n",
+    "\n",
+    "\n",
+    "train_data.class_indices"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "QW8uws4T_vAs"
+   },
+   "source": [
+    "## **Testing Data**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "zDCQvvQB99gU",
+    "outputId": "bf6dd289-5f01-4675-8f70-ea56769ad0fb"
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "source": [
-        "#**Training Data**"
-      ],
-      "metadata": {
-        "id": "MYrSECB4_nTG"
-      }
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 7066 images belonging to 7 classes.\n"
+     ]
     },
     {
-      "cell_type": "code",
-      "execution_count": 5,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "rskmL3tL91nL",
-        "outputId": "44e810e6-73ae-409d-96a6-aaeec7cf2c5d"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Found 28821 images belonging to 7 classes.\n"
-          ]
-        },
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "{'angry': 0,\n",
-              " 'disgust': 1,\n",
-              " 'fear': 2,\n",
-              " 'happy': 3,\n",
-              " 'neutral': 4,\n",
-              " 'sad': 5,\n",
-              " 'surprise': 6}"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 5
-        }
-      ],
-      "source": [
-        "train_datagen = ImageDataGenerator(\n",
-        "     zoom_range = 0.2, \n",
-        "     shear_range = 0.2, \n",
-        "     horizontal_flip=True, \n",
-        "     rescale = 1./255\n",
-        ")\n",
-        "\n",
-        "train_data = train_datagen.flow_from_directory(directory= \"/content/images/images/train\", \n",
-        "                                               target_size=(224,224), \n",
-        "                                               batch_size=32,\n",
-        "                                  )\n",
-        "\n",
-        "\n",
-        "train_data.class_indices"
+     "data": {
+      "text/plain": [
+       "{'angry': 0,\n",
+       " 'disgust': 1,\n",
+       " 'fear': 2,\n",
+       " 'happy': 3,\n",
+       " 'neutral': 4,\n",
+       " 'sad': 5,\n",
+       " 'surprise': 6}"
       ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "val_datagen = ImageDataGenerator(rescale = 1./255 )\n",
+    "\n",
+    "val_data = val_datagen.flow_from_directory(directory= \"D:/ML-Nexus/Computer Vision/Face-expression recommendation system/face-expression-recognition-dataset/images/test\", \n",
+    "                                           target_size=(224,224), \n",
+    "                                           batch_size=32)\n",
+    "val_data.class_indices"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "Xbq3poyV7035"
+   },
+   "source": [
+    "## **Visualize the images in the training data**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 1000
     },
+    "id": "1ncF6i_5-FiX",
+    "outputId": "e911f213-ee23-4fdf-e580-e6141bb6eddd"
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "source": [
-        "#**Testing Data**"
-      ],
-      "metadata": {
-        "id": "QW8uws4T_vAs"
-      }
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "code",
-      "execution_count": 6,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "zDCQvvQB99gU",
-        "outputId": "bf6dd289-5f01-4675-8f70-ea56769ad0fb"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Found 7066 images belonging to 7 classes.\n"
-          ]
-        },
-        {
-          "output_type": "execute_result",
-          "data": {
-            "text/plain": [
-              "{'angry': 0,\n",
-              " 'disgust': 1,\n",
-              " 'fear': 2,\n",
-              " 'happy': 3,\n",
-              " 'neutral': 4,\n",
-              " 'sad': 5,\n",
-              " 'surprise': 6}"
-            ]
-          },
-          "metadata": {},
-          "execution_count": 6
-        }
-      ],
-      "source": [
-        "val_datagen = ImageDataGenerator(rescale = 1./255 )\n",
-        "\n",
-        "val_data = val_datagen.flow_from_directory(directory= \"/content/images/images/validation\", \n",
-        "                                           target_size=(224,224), \n",
-        "                                           batch_size=32)\n",
-        "val_data.class_indices"
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "markdown",
-      "source": [
-        "# **Visualize the images in the training data**"
-      ],
-      "metadata": {
-        "id": "Xbq3poyV7035"
-      }
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "code",
-      "execution_count": 9,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 1000
-        },
-        "id": "1ncF6i_5-FiX",
-        "outputId": "e911f213-ee23-4fdf-e580-e6141bb6eddd"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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B59wKgJXB/3eJ6En0U43vC9qbRjMRBv1ZMgVLSe1NYXENvnvPuX6++rW1tUifXC7tXCsoROuHN+9I2bR4fm0J2O121X6YK+B2u92uGuPP+/aT5kTQ7oN821nysttRot1um2aZ/L21A1BzUcpx5RWHlIGX8nIlsLa2NtyXwPJsbm4m3qvCwUk+Hn/88aB/jhNYXl6OlOdyOTzwwAPD+s45nDt3DjMzM5H72O128fWvfx3b29vB/oepqamIfKVSCfPz84FpO+xTLR0TRHQbgG8C8EUAbwXwXiL6fgCPoL9a2FR+Ezl3wGjXtPu05d04gUVamzKhRL1eD+w7tjGlnahFpmkBSFyuyVAul4Oc89pEt5aIHKvgf9bGRUY2yrbl5yQPu+xzlKxau1agC3/nQ0v+ASAwMzKZjLoBqNfrYWNjIyAGd3Z2IjwOE41acFbSoDWNlykUCiiXy8E4Liws4NKlS5ifnx/+9vnnn8fp06cjL6lOp6MqVyCMF8nn8yrBzDiwi5CIKgA+DuAnnHM7AH4TwB0A7kN/pfAr2u+cd+4AB0xok8AvS1JuyJjo99Ke5psn/8WtTmS7PCnlP+27uPp+Heu3slzKIq9XlsWtsCzIMTsIlzPub5PUj7Pn/WhE+S/J75OUW+2PGqtR9ysJktY9kBIgojz6CuD3nHOfAADn3Jpzruuc6wH4bfSPJEtxQByUKD0qjOPBSTGZOIh3gAB8EMCTzrlf9crPDvgCAPhuAOE5SynGRvqwHQ2Srn4s93XScvk9r7ysDWN+nkaur61ktfa18xzj3IsH4QTeCuD7AHyViPigtZ8B8G4iug99t+ELAH5kVEOaKw7Qg3q4vrQVrSWtRn7V63XV9be1tRVwAlr/lUplaLP5skrft+YGA2ybXGbadU5P0sF2qoR0pbFMGlmnTQx2b/n9aZutAKhZcdjt5ctgEYNJwTERGq+hjW2xWAw2Uc3NzQWuOCJSk6JwsBL3x7sCtYSz2tgUCoWAtK1UKkH/mUwG1WoVV65ED+aq1+tYXFwcxpuwTHNzc5G50W63MT09HSSnyWazWF5ejoxNrVbD888/H4wV4yDegc8D0F5PY501sB8kJfssxKWQlg+Ahmw2q6bskkrAIjbj3iIaLyExTvCP/9cv194kmiKNs10tj47fb1zO/ySI4yos0lLC2gimvSCSIu7eSGXMBLEPayXAc1NbCUjC07qHPifkt2thIiIG4yAv0mKLrfJxICf/OHLFlY9TdxT2I9e4/Y9DPCUpT02ZyUa6gShFihOOiV8JnET4gUn+X61OXLn1e8tFlcR1NUoGuUSNC/ZJAt90SuIK1oKFisViYJPzPos496H//6QZn3K5XHDi0fLycoRD4jEql8sBh1Iul9FsNofxKc654X4EGZIO9DkIX45MJhOcgqRlvI7IbH4zAbDsLkBfcsrJJjPPAv2bp+0q63a72N3dDQZLs/1nZmbU7LGSa+h0OkEKbqC/KWd3dzcor1arkRvd6/Wws7Mzlq3qjwtHEMqAI87ek8TWtx48bWwzmQzOnDkzJOYymQwqlQrOnj07sh+WSwbmcJkEp2iTkPegWCziLW95S7CLb3t7G0888UQk6IsVoH/PONtw0izQp0+fxrd/+7dHeJG3vvWtuPfeeyP1mPSV9+bll1/GH/3RH+Hy5cvDek888QSeeOKJSN1MJoPl5WWcOXMmuP5XXnklMgbWUXKMiVcCk4g4u3vU2+qgATXj4rD6GseuT8oJWPWscn81oJFiGi80igT1yw9zrKQM2jZ1rVy7plErQWsckmJilMBBo8XiJulBbu64pNZ+l+5x5Unkj/NPJ+1HayOu7EbjKPo9zHug1R8VNzBu+VG0MTFKQEOceygp9ruUHreOprHZ7SjdM7zlWMs27C99Ry3bR8lnhTmzmWXZ9LKuRJwZ4cdGsNtU5tfz68p28/l8YA5oS1m2/bX4AX+8C4UCisViYNblcjk0m82IOcBJZKrV6rANjgewtkRLNBqNSMIZIlLzGXS7XWxsbAQb0V555RVcvnwZL7/88rD/arWKQqEQcTMSkTqHpIuRrysOE6UE5A21/LvagyEnC9t2WkCIc2FCikwmg9e97nUAXlU+/BBLaEdY8848/2Zfu3YNL7zwQpBphuXSJnCSOAENGgkY51/XlIDmX7bApJaPbDaLSqWCcrkMoD+Oi4uLOH/+fPD7fD4fBBGNc70bGxvY3IzuS3OunwDVvwfFYhFnz54Nduu1222sr69jZ2dnWNbr9XD58mVcvnw5souwWCwmCowC+pmBHn/88YjZ8sY3vjF42JvNJh577LEgWOj555/HZz7zGbz44ovDsqWlJSwuLkZk4EQjWiJajSuJe6GmLsLXACaVO0lxcyBVAq8BpME4KQ6CiTIHJgGSoU5CnjGSMLl+G1rf+yXgtOXeYXAq+8EoUiyJB2Wc+n497ZotM0Nj8fn3B7kG//d8KKzkBJhnGBW6bHkv/D4Oeo9vSiWQdHJrriFAP1pKcxlZCU2s4BF5qAgns5B1s9ns0G6Wbcvrsk6isfYPaHERsm4mk1F5FY2sy2az6jhYee98P73F38RBjoH1sOXzeUxNTY3kVbrdLjY3N4N6e3t7mJ2dDTILXb9+PfLQcrIYbay0ZKvdbhfr6+uRek8//XTkkBHn+slinnvuOayvr0faXl9fRzabxfT0dKT+3t5eoBCYdN6v0mRMjBKI2wzhQ/MFA/Zk16LVmK2Wgyqz1FpvdS1QhVOO+yRgtVpVTyCanZ1FpVJRjwb3x8E6gUh72LnMzz7DZKWVLDXJw1kqlczzDLXJ5qcNYwI1qYdBUxrWeYqlUkkljWVwVqfTwZUrV4IMUc1mE6dPn47U7Xa7uHLlSiRhLJPTsi9O4y3vYbvdHmYKZjz66KPY2NiIlHW7XWxvbwdHxO3s7CCbzQ6PLWOizycwuVzb3ciyAdFVTBzhmnICKV6TSMnS5EiVQIrXJFKyNDkObA4Q0QsAdgF0AXScc/cT0SKA3wdwG/qJRb7HKclGDxs+V+Db+JrNlGQzCmBvvrE2lMj62WxWNVO0hCNxRJWUywpd1n5v1UvytrRiB7QEqswf+OYAEanXrxFbSYKXpFxybOS4EpGaLKXb7QaBSX5OCC7ntrT7Wi6XR2ZMZu4g6XVxX0lOZtagEYmjfndYnMDfcs5d9z6/H8DnnHMfIKL3Dz7/VFwD2qBYgStWmZwUmi0JQA38sAJotIwyzWYzOH6aN+v4kyqfz2N+fj54CKanp9UJJCO9NNufyzWuhAk/v4yvT9a1WHT/L9APCtIy1c7OzgZ8SyaTwdzc3LCcSD/5JqkC5jatjM0a31OpVCJjRkRYW1sLfj81NYXz589HHtBut4sXXngBS0tLaDabw3mhnSI1PT2NN73pTcHYyOPhAX0eEpHKNQD9YDI/uMg6xMYag6QBV0P5xqqdHA8CePvg/x8G8GeIUQIaAWiVs0Ycpd04BFUbJEnAAWG6bm5fY9vr9bpK1MiHOJ/PY25uLrjRnAJLTgy5u1G+EXy5NFJMrjrk28wv11K3aUqwXC6jXC4Hsi4vL6tHpE1NTUVky+fzATGqvbG5XHojuEz27ysafwzK5XKkv263i2vXrgUyLC8vY2FhIZIKrNPpYHFxEbOzs8O5wCShvA+lUgmXLl0KvDy5XC4yXs45bG5uBi8Nfxx8MOvP4czWyhN49Sg4OQaWO/QoIwYdgM8Q0Zepf5YAANziXk02uor+UWVSqIeI6BEiesQ6FCFFihRHj8NYCXybc+4KEZ0G8Fki+mv/S+ecI6JABTnnHgbwMABcuHDBfK0nWbLG1ZdlvkaUwRfa7y3XmFbOy2wGv8G05XhcfrxRtrK2EtLK4t64Wru+rc51crmcupz1z8vz2/VPUeK3eFI/tiavFadgQS6xuU3tjVmr1VSe4NSpU8OVA7vhpCtvenp6aNb5KJVKmJubi5QxJyHLarVa4Lrc2dkJ3Kqj5rr1jCTFgZWAc+7K4O9VIvok+ucMrNEg9TgRnQVwNa4Ntm2STGyrfJwyy86W9XkS+4jbGSeRy+VUXzIv+SSsw0u1Msvu0x4YzSSKG1f/u0qlEmTPBfqn+soHgDkAmRBT68cKTJKbdaxYD2t3YaFQiATa9Ho983j31dXVoO2ZmRk88MADwzGoVqt4/PHHg6Poz58/j4sXLwZjMD8/jwsXLkSu9atf/Wow3vV6Haurq3j66acjddvtdmQXI2Cby9qLxHoZZLNZM3HugZQAEU0DyLj+WYTTAP4OgF8A8CkAPwDgA4O/fziqLe1B0QIhkrKkcdozLkus/L1UAr1ez0yjLW8WT2AtoMRSRPKzVWaV+30558zUXtoKReMEeBuuRqxpUY/+SmAU629xAlrGZm2ya5DEXLfbVQk45/pReLJ8amoK8/PzQ9m2t7dx5cqVYM7MzMxgZmYmUJALCwu45ZZbIqutF198MeBPOp0OqtVqJLoQeDXAS0MS5n/cVQBw8JXALQA+ORAuB+BfOef+LRH9JYA/IKIfBvAigO85YD8pUqQ4IhxICTjnngPwN5TydQDvOEjbKVKkuDGYqL0DErwDK0ldbRlknWBk9a8FG2m/18wBKzBHS3bCy/ZRhJmWVIXblKZSXHCTda2a202WlctllEollQjVoBF5lo9f4wT4+hgysMi/rrhr839v8TfSzUvUTyAyPT09lK1QKOD+++8PTqFeWloKNiABCDgN3873UavV1GStLPMoaEFY+8VEKAHLX2ohCWHIk8EKqtF85FoEmoZcLhchnyy0Wi01U60VJMJy+LJq3IOmBOLk1bwAmp3NR6v75ZwpSIsO1JDL5QJ2XgvOKhQKarCRvLcWh2PND+2ea5uNWq0WNjY2AgJuaWkJMzMzQ9ny+TzuvffegFxkRaYpTf+6nNM3ANVqtSALEo+BVJBWIFvcOIxTbyKUABAfBehDuuFGtam5huLasN6oPjTGOm4loikB7U3c7XbV1YDsx3I7yvHyFaK8Rm1seeXhl1suwrj7pQX7jKpnwbpfcQ+EX5f70pSWDALi++WTk4VCAXNzc4HS5zMKJbQdfNociHuo/ftrvZSSPPxJ66cbiFKkOOFIlUCKFCccE2EOcEyAtjzV6mqEHdfVll1JIYnBuGW/lhZKLvEsAszaGKXFRoxDbHLbo2Al6igWi8HGplKppAbbaEFXTFbJiD85hhbpGhcToHE42j3odDrB8e6aKVAoFFAqlYLNRltbW3jyySeH17CwsIDz588H5gDfW1mWz+dVTkTKwGaXNg86nY5qwkpYQUQabooTiLToJ8tutDwGsg3r+CXLntXKNCVgPaxaxKGVykxDXCSgJtso7wKXWV4HObb8YPjlWngwoI9tnMdAk8tCUvvfCvqSOym1OcTKSfZVq9WwtrYWac85p+4M1AhTy8uV9EXAMmuBa1q7SfixUS+SiVECGuIIMK2u/3e/xIn/e8vtZ5Un6SeuPIl7bxRRZJGAWplWrhF7Vl9JEDeGcb8Z1dco79Co/qwxYAXP5axokhLXlpxJ54D1+zgctI2UE0iR4jWMJEpkIlYClhsl7i2s+a3z+Xzkoq0juKwkm5IT0OIBnHOq7197C/GR2Jor0HIRyXwCMtGo1RcQBhf5mXJ88FjJt5gmL/u5JTRzQsuYpCVL9duWbZbL5SDYRrtWy9TT6rZarcB863Q6KBaLQRuNRgN7e3uRdr7+9a8Hfv7p6WlcuHAhMHU4C7K/gqpUKsEJSKVSKThWnOvL/AnWtb6mgoUAe7OMVk+zhfgB0KLNJPyU2AzLlpO2ICuRJPELbHfKunzmoPYQjLIFRy7tlA1M0qbnTTZSLg70SUJKjZOB2Mqtr7UricUkgWFa27JNTQYrDsW/N61WC/V6PThKztqVp/EfGsGszQsL45ie+8HEKIFxkTTYJ87uTmJTS4wK1kn6YGh9ybrj2N5Wm1aZ1b8sj5Nhv3buqHb3C+0ejupnv/zDuBj3QR6H2zooUk4gRYoTjpt2JZAihY/9mFGam9VqW7od2bwYtXqwVohWFmNtBXDUq4GJUAJMhkho/niuq5FS0vbVEkQ65wICEejbjTJJhkw+6vejEYbSTrWy32hHXQP9bDN+oIuVENQ5PTORRgxy7HUkh2MAACAASURBVL8PJj01c0ASltomF6BPjGkbgLQjxzVYppMMQrLG0ErM0mw2g2ChWq2mks5awhV5BBgAfPGLXwxkvXTpEs6dOxckFWF5/Yd5cXERt912W6Te1taWmrFJc0nGxQloSMqvMfatBIjobvTPFmDcDuAfA5gH8A8BXBuU/4xz7tMJ2htJ1MV9Z2lbLYpP07ZMEiWRIW4Cy99rN8QKguKH2K9vbafWZJVyjeuj18qP4i3ky3WYpFdcnECcLP7vNV5mnIdqnDiFJDhovEuSNvatBJxzTwG4b9BhFsAVAJ8E8IMAfs0598vjtnmYATijCECrPCmxmKR8v4Ei8gFJIv+4ZXHlB0XSdo+a9U6RDIdlDrwDwLPOuRfTG3vzY5RNPYq5tuzco8B+3Kj7adf6fFT2+jjtHlSGw1IC7wLwUe/ze4no+wE8AuB97gYcQXZQ7He5lqTdw5wo45goVv04t6UG7QHQlsh82vGofAJcPioDkVVmyTVOHct86na7Q66Bf6sFdjEnIXkJ7bjyfD4f2YRFRCiVSsFmo3Gu6zBxGGcRFgD8fQA/PSj6TQD/FIAb/P0VAD+k/O4hAA8BwOLiotq2FRSklfNA+xOr0WioQTnyDDpGsVgMWFktyKTdbgeEIZOY/u95Qsn+tdTiLJeMtpuamlLraqfyAMkeJCsLstyBB8BMgdVqtdS+arXacGITEWZnZ3HrrbcG/VcqFVQqlUh5t9tFvV6PkLl8hqCliGRZt9sNmHxN4WSzWUxNTQWBSdevX8f6+vrwvvOZA5JgLhQKuHbtWkAizs/PY2FhIbJaWl5eDkjnjY0NnDp1Sj2jwEo5rnEVScDKzkxTn6iVeHwngEedc2sD4dacc13nXA/Ab6N/DkEA59zDzrn7nXP3y8ngw9fYGukVR4b5f/fz+xQpTgIOwxx4NzxTgAaHjgw+fjeArx1CH4lxWEupw17GH3bbh6GoxmG4NTt/lI97lIxJ+4976x1kHGW7cf8fR9Ykch3Vi2Y/43EYh4/8bQA/4hX/EhHdh7458IL47tgR96ZPmvNOM0c0dyDXTXpjpHuQ7Wnt90kZf6seL5NlmXYNWv/tdtv0vfM4ZjL9U5K1OAU/HoDb56W3PFBUM5+sDVgyVkI+lP41azkC5XWxnNIkarVaaDabgU2vxW/k8/ng8JFSqYSpqakgVoCT02qJZI8KBz13oApgSZR937jt8OSR0Pzp/GBox4MJOczMQNrJORI8+bVgo1arFQTEMH+QlBPQ7LNcLhecS69dl3NOncCa7Wtdm5axWJvs1uab9fV1dXehfyoxHys2MzMTtNlut4OjvTgDsH9tfJSbVFjWDkItOEpT2nwMmOQP+OxBRqfTQb1eD651d3cXW1tbQXmpVAoU7NTUVMAdZDIZLC8v49SpU5HyarWKvb09dWyPCunegRQpTjhSJZAixQnHROwdiMMo8mlUfYmkpNxRE4NJ2tfqHXaY7ahyixPQyi2+xUrAMk4ufgmLmIzjQLQ2tN/7bceNt2YqjZvo46jiU8bBRCgBtmWTBn8knZTcdpIybkPW0+pasf+SxOONThqpZWWKkZNbO0LL+r2GuAdLY7Y1XkMjqfxYCa6fyWQip/fwvgc+gssn6VqtVmD3Mlci/eHaoSxaxiQgTIza6/Wws7MTcB3MH1jh3/41Sa6Gv9/b2wvanZ+fT/wgc2JXH+12W+XBLCL6MDAxSkDu7NOYar/c2lQjt2hqD6uMI/Dr+5+1gXbOBcdf++3KYB/tAbKChfjh8D9rxGYcYeiPC0fwWW9ijbCUsmkBRM71U6w1Go1IOTPzPDYcoLK1tRWp1+v10Gg0AiXApK+8Nm0MrdRt8rjwTqeD3d1dczepPDJMixuxlMDOzk5wDZyBaJQiIOofxSZJ6larZZK7cfP1IEg5gRQpTjhSJZAixQnHRJgDgJ1PIKmdvh+byYr28j+Ps+zSlpIaJ2DlCNB+L2XQQp39un671hha5oD/HcPiH/yNNgzt4FGtfyA+BiRJGLd1gg/79aWccjmvZXz2OZFRZCxnUZbtcrCT/xvrQNRJwcQogbijuXxoE4V/n/REFq1dILTVrUAZ7k+TS8uUa0W7yfJisRgor3a7bRJ4SeS3eA2tDY0T0Ag8oG/7ygy8PiHIf63+NWJPC3aSwT98fwuFgno82s7OTkQJOOewu7sbKCzOGiVlkwFTTErKh7jZbOLll18eysbtTE9PY3t7OzIPp6en1QC1cU8mOipMhBLgm5/04i12XnuTSlgPkIwOjCMgWQbZtzx3z3rbxu0i1N5MUk7nwmOxmNTSSDTLO5GkPI4YlFGLfF3a8dwSWtQn/8a/b7lcbqgcfWhHprNcm5ubkTLtYdcUHs8BSa5qyqnT6WBzczO4hu3tbTQajYhc0gPgw9pOfSMVQcoJpEhxwjERKwHL7o6zB8fx/yetk5QTsPqOC1bxwTyBbFtbSUhzwOI6LJ7AgrXKkCsBjgcYJSvw6uk7HCdPRJiamgpWLSyr5uaUJph1WpS2z8E5h42NjeAEIa0NufJjaDyBxn+02200Go1EG4gsaDIc1qlC42AilACAyDKSoSW+sDgBbQJbD0HSAJo4UlCz5eQS1+IErGVyuVyOPDC80UZbtlsbpixyTtbVYhi0DU+1Wg3VajWQIZfLBTvgCoUClpeXMTs7C6A/JtPT08PPUgZtia4lFdHMp+vXr+P69etBm9rmLCumRMsCJNHr9YY7BmVfu7u7wX2QsRNx0JSLZSoeJSZGCQB2BhwJK6DEetiSBFloCiBuhWJFdUliUDty3WpXKr1utxt4F/hhj1uN+J8tWJyAvO5Op6MSg5rC4eO6WTkQ0fDMPR+awpbfM7S070B/F9/GxoYqV5KdlNq5iQw5jhpBzA9wksAmC9ocu9EKAEg5gRQpTjxSJZAixQlHInOAiD4E4O8BuOqc+4ZB2SL6h4/chn4Goe9xzm1Sfx316wDeCaAG4D3OuUdH9aEtcTXySguKscBLq6SE3zhlSex8a2lnLVe18lwup9rOEtbSP26zlJZUpNVqRcbW4gQqlUpgDjBX4/fJiUJk39reAU6y6dvJ1WoVOzs7wf3e29sL4hSAfqyFv4GIiFAul00OR46Pf7KRc6+eUKztUXjDG94QJJdZXl7G6upqpH42mw3chBbhyf1q3NZRmQpJOYHfAfAvAHzEK3s/gM855z5ARO8ffP4p9BOP3jn4983oZx/+5rjGrTgBbaLGMcva75M+xAe1zywSUANfq5TXyjakKRzNS6BxApbHQrNzO50Oms1moAQk2w7oSkAL2Gq325HgHe57d3d3uLuQ0e12UavVIkpgc3MT165dCwg0PkZdg4zWswKTrHFpNpvD6+X5J+tOTU3h0qVLQSrxSqUSKL3FxUXVC5B0fvG8OqoNRImUgHPu3xPRbaL4QQBvH/z/wwD+DH0l8CCAj7i+lF8gonmKJh9VkdS9NgqjtGbS8sMa5Lg39Cg3Jys7ubqIIzw1YnCcKEqpyKydkJrSlf1xW5YXQrrTeCUivQNazj3telleTc5xdub5Y2D1k8lk1KjFbDaLTqcTEIsSx0EAWjgIJ3CL92CvArhl8P9zAF726l0elEVARA8R0SNE9MjOzs4BxEiRIsVBcCjE4OCtP5Zqc965A5ofOUWKFDcGB4kTWONlPhGdBXB1UH4FgH/kzPlBmQmNE+DlkkYMJiEFOY5eW0ZqMQVJeQIut+Q6SKpoudstKcfA/QPR8WK7X9rTvOyWy/FqtYqtra1ABi2BiiTggL6dvra2FskibJG4lokhzYRyuYzz588H41AqldQNRDLgiqMWpTnQbrexublpJixhFAoFnDp1Kti/0Ol08OUvfzmQK5vNBsTkd33Xd+Hs2bORep1OB41GIyA3G43GDY8aPIgS+BSAHwDwgcHfP/TK30tEH0OfENwexQcA+lHb4+Sc02A9lAe10ayHU4vks+QCdHtWPoAWrPBhKacVFKQpSA6F9ZWGc04l4KzoxGq1OjJ0lpW+NlaSsOS05XKsNCVARKpy0n7PY6Bth/avq1AoYH5+PkgZvrOzg1deeSX4veQfMpmM6l3he5M0z+JRIqmL8KPok4DLRHQZwD9B/+H/AyL6YQAvAvieQfVPo+8efAZ9F+EPJhXmMNjP/RKD+613nDgKtlhrJ0l0IpfFuU/9PsZZ4Vh9xZUnuYZRStb/vxYhGvcy8Fdmkz6XknoH3m189Q6lrgPwYwcRKkWKFDcOE7F3gBNPaifHaktOzUfMyzteXrF9qQVlWG8FK3mn/G3SN5C1b996W/ERWL57yt+44vMk1g5Af4nPy10ZlNNsNlGr1YJNMdvb21hfX48scU+dOhUshQHgrrvuCsq1wByiMCGHcw71ej3YbMP2u0zqoXE46+vr6thox30XCoVgT8fs7CzuvffeiEmRyWRw1113RYKAVlZW8NGPfhRf+tKXIm3u7OzgueeeC8yBW265Bffcc0/kmqrVKq5evRqpt7W1hZWVFVy+fDlSrp14fdSYCCUA9IkSGdAxTgYhuTzj/8eRLFYb1vdcNs4yNC4IadQy2ZJ/HOJI618qTAYrDX9iW5mVS6VSkC2HiCI783hMNIUd57eXS3FtOd3tdk3uQSNtZX+9Xg+FQiFybbzrcW5ubjgXOVpRPpiccUmLupSw7oH2gjgO02FilICFuGCbo+zPelDH7f+wb+pRTpKkNnJcmVY+7hge1b0d1Zf1/4O2O+lINxClSHHCMVErAW0pbtnzB2X/rbqjlmf7keug1zDOtY7jUr1RS89x+zmKa7BiQKT5BeieAclzyENutO+AV13f2t6BcY8xO4i7PA4ToQSsG6KdngP0iS1tySm5As2/7VyYsms/siYhF6103Vbf7XY7iBPQUntpAUB8Xb7t2m63h0dd+9jZ2cHly5eD48EABMeI33333Th79mxwvUtLS4E/nv30vpLb29vD2tpaIGvSoKq4YCPN/tbIZC2xS7PZxPXr1wNO4O6778bc3NywvN1u495778X8/Hzk95cvX8Zzzz0X3JtisYgzZ84MPxMR6vU6nn/++Ug9JgZldiSWQyOp4z4fBBOhBIDkW3at+lIDj7LpDwOWMjjM9se5+eO8Fa2xHbUpKK6uLJ90/3gckvIaSX+/3/5vxBimnMABcDORPylSWJiYlcBrBYdhtx0kqvEg9vRhsfUHfXsdle2btC9ZHnf9r4UI1IlSAkkG3hpMzZ8ct5w+yE05ahNA9iXHJamZFEc+aT5qLQNvoVBQj/DWkr0CiOylt2z/cR6quPut9a/FkFhxJZzI1Ue73Q6SikxNTWFubi4i++bmpnodnGfA/67VakFul9dORTouTIQS4Mki03VbdbUgDc5M7LO22hl0FtEUN9kkcrlcQIrFEZlWm7JtGcDDnIPcI0AU7qTkcfF3pTWbTWxsbARHgzNZKCP2Xve61+H222+PkGV33HEHFhcXA1nz+byaaffFF18MAmvkWFnKib+TUY9WxiUtklEj1crlspoZuVqtRsozmQyuX7+OK1euDMeg0+ngrrvuwqVLlyK/LxaL6pmS+Xwey8vLEUW4sbEREIC1Wi04rmwcjPuSjEPKCaRIccIxESsBxn6XvaPK9xs7cBi2YNK+4srHiWfYT+wDQwuJPugYjOPNiPNa7JfrsFh2yy0tyy0vUxx/ooU9aynWJgUTowSsTTHazYs7UNS/Adbpv9YNPEgyh8NwScpri3sgtLGSvnPODyATV3Q6nWBTDdCPEZifn4+YA6VSST2pR+MUrEQhmkmmHSNmnb4zzjzQHkItroQ3ofljkM1mUavVIqcgOedQLBaD3AV8vJqWu0CezLS2thY5JBUA6vV6sIGL5b3RmAgl4Jx+yq1F/mikVLvdDoKArM1GPKmlra3dFCvgSJvw2tHkGiw7Vyb6iHvYpd3d6/VQr9cjgUH1eh3Xrl0LgnVKpRLm5+eDiX3x4kXcddddkfTY5XI5UALOOayvrwcbeFgx+LwMyyWvwU/t7f/e2h0poSkRbkNyS9rRYJlMBs1mM4ju29zcxNbW1lARFgoFnD59OkgZvrCwEOx4BPrHkM/Pz0dWIM888wyeffbZSD0O5BqVhOYwbX8LIzkBIvoQEV0loq95Zf8LEf01ET1GRJ8kovlB+W1EVCeirwz+/dahSZoiRYojQRJi8HcAfIco+yyAb3DOfSOArwP4ae+7Z51z9w3+/ejhiJkiRYqjwkhzwClnDjjnPuN9/AKA//IgQsSFsFr2fFKyS34nl7Xy/0mJwSR9xcmVVN5xbGRpprCNrY1hLpdT8zdoCV8tV54Wf3CY23H9drRrsPz01r4O+VmaZdlsdmiS8TjyNWkJb/L5fMAJZLPZ4P75iV34O3Ynj3JNj1r2H4ZZcBicwA+hfxwZ4xIR/RWAHQA/55z7C+1HRPQQgIeAvn0l4wQAnajjwRm1wcIC3xStXDvtKMmptb5css0ktr9fX04gn6Dyfy/5D+f62Xr8oJRmsxkcKwa86suWm4WWl5cxPT0dIQbr9fqQWPT7q9VqalIPEklE4o5c07JGybGNO2U4SbAQ8w+awpK8Sjabxd7eXiRZqnMOuVwu4AQqlQqWl5cDXmVmZiZCUDvnsL29jZWVaK5dPobdevklwWHxAgdSAkT0swA6AH5vULQC4IJzbp2I3gLg3xDRm5xzwekizrmHATwMAOfPn3ftdtt8S4s+1e8tdt658PgmLX2T9sbUJqr/3ShYBKIVVCTfDNZuQS1lGBNwfmCQjH5jMNm1vLwcKV9eXkalUom83ba3t7G7uxvIUKvV1GvzVxg+SSghlQVDyzqt1Ysrlx4ilsVHt9tFo9EIiORqtRq5NvYiSCUwNTWFhYWFYCUwPT0dJBrd3d3F+vp6pJ487kxewyjcUGLQAhG9B/1DSr/XDSRyzjWdc+uD/38ZwLMA7joEOVOkSHFE2JcSIKLvAPDfA/j7zrmaV36KiLKD/9+O/qGkzx2GoClSpDgajDQHSD9z4KcBFAF8drB0+cLAE/A2AL9ARG0APQA/6pzbUBtWMI5df9DlkEW4+ej1eqrdm+RwS25PI7Ws/pPKqpkZbDr4sQ7dbleNsZ+enka5XA6WuJlMJtiXwdmakxJzErynQ0Lb18H2v28q8WfNVNPGUCandc6hVCqpSVXlveGkqn68h0U05vN5zM/Pq8FC1Wo1Yg60Wi3VrAOSxwEc5vJfIol3QDtz4ING3Y8D+Ph+BJHRfgAiG4JEP7GkofXZ/32SQWWbWrZZKBSCB4hJRK1PizRMcqOtyDwZANPr9bC3txc5FjuXy2Fubi5QAqdPn8aZM2ewsLAQtLu9vR3pTzsRGLAfDh9E/ezDlUoluE4mLeU1aFGE46Rt512PPkqlkqrgJSeQzWYxMzMTiQTkOSj74qPJZSBUJpPBtWvXIte6u7urBqJxfYkbqQCACYkYBOwH2/ICWITKft1S1tvWunlaGm4AQbTaQSO+NI+B9bDIXYQc7iof9rm5OVQqleDhZGbcvw/auQ18XdrKR37mrbU+rGPQgJCMtfrSPAlA/6H1+3POBW9rAMNtxJIY5JUAy8AKQIs6nZ2dDbwDzWYzQqQyEW3N7VFnXRy1AgDSXYQpUpx4TMRKgN+6MtAkLlGntTyU7iXNJrfMgSTuGnZNWe4t2d44uQvkXnp+48v6WpIKdjn5b71SqYS5uTmcOnUqUrdSqaDb7QYbi5rNphpAo9n0cZu4rFgHH9rhIXy9fn1Onpp0ieyfasyrCN7774NNFbkSkMt/KyioXC7j9OnTwUpxZWUFL7/8ckROmejV/87atHYjgoQYE6EE2D7zT7SxbGweOIsokook6e+5vvwsH3bOvqOZA7Jd9ulrm2I0yAeDSSX5+3q9rmbwbTQaEa5ienoaZ86cCRJiAP2HSyYb0Y5t4w1E2rVKsK3vfxd3PLzFCfj1W61WYLv7skrwrkeGTDbDYG5HBibxMWZ831kJyPtdqVRw9uzZQJGtr69HMgs75wKF7X83TvlRYSKUgKYR+W1tvcWtcskMW2WWHEA0TFWbPJpysNpNqnC0NjSFZXEVrHB8uTjSTRKD7XY7sl2Woe1u1JSxxXVwub+LcBxyVkt7ZqVCsziFTqcTpH3XoF2X/9Lw/1phw9p27EwmEyFt+b4kxY1WAEDKCaRIceKRKoEUKU44JsIcAEJ7OG4XleWjlkvEuJ1mo2D9lk0FLYjIWvZrpksSwrPX66FWqwV1tWPFifrHgp87d25YVi6XUS6Xg7pWBh92r/nXXSqVzGAfK9mHv+mp2WwGNnG32x3G6MvyWq0WZEfSYux9AtCHH6gD9Mdld3fX3Ajmg4Ol6vX68JpPnTqF2267DbOzs5G6LJeUYXd3F2tra0GsxSRjIpQA27lSCWgPi0/e+GBmXbK9SdNSW9A4AU0JWLajpkykF4ChKYt6vR6kHGs0GmoWpfn5eVy8eHFYxpyAlNXiL9jO9eXN5/Omd0Brw09xxkpAbkBi5SYfjk6ng2q1GlEC/LBbxKDGK8iyvb29xNGNxWIxEnDU6XTQaDTUXYgaOdloNLC7u3sstv1+MRFKANAfgDg33jjbLa26cW0cZT/jsMIaWWiNDbu9GDKEdlT/miKTRJn/+yTBQvshd7Xr1a4habvaWYQa+GXku6vj8h5a0MjV/QaxWdhPe5bMKSeQ4qbHzfTWnUSkSiDFTY/DfsueNEyUOZCEQCOi4Ahv6/dWxKDmt+XgEflbi1OwfNSWDD54d6Ksy7a+354MvuExkQlBMpkM5ubmIlwJj5U2htrRYlpgjRZPAAAbGxuRyDy+rrW1teG1OedQrVaDwCYODtM2QcngKMscsDI2a5moNQ6IE4XIuisrK7h69erw89mzZ3HrrbcGR4tvb2/jqaeeCu75s88+a0auShwkxf1hYmKUgAZLMfh/k/xeewgltBsVl9pKk0sjJq2U5RqBJYkmZtq1QCptG7Ak9Tj0WvbDefC0CEn5wGjhvUBfOWgRf3t7exHlsLe3F4TNshLQAp405aghLj+fBmsDkoTc9js9PY2dnZ3Aw7GzsxOQmABUr82kY6KVwHFBPkj7xbjk4mG0mZQAO0gbSYnNcW3147DtNcJTYtxy2a72edS17vce7Af7PXfg54noCr16vsA7ve9+moieIaKniOjvHpqkKVKkSAzfU2KZVIwkK4HfAfAvAHxElP+ac+6X/QIiugfAuwC8CcDrAPwpEd3lnBt58BoRqdlytAzAuVxupHa2NiAB+qlCANTss+O8BTSXnBVQo+2Mk0t/vn4tK460RTWegmMq5AYgtv2lrJ1OB5ubm5F2V1dXUa1WA1lfeumlINin1+vhypUrkXG0sjNZHI7/Nw7WvdXMNy3GnwOjRgURlUolbG1t4ZVXXonI/vLLL+OP//iPA15DyyCcxBU9CtrKYlzXpYV9nTsQgwcBfMw51wTwPBE9A+ABAP9f3I/iogM1UiuJ33eULzzJb+K2Ace1P0qOJNrZgtW/6QNWHhYeA4us8tvSMhtzEJAs541NPicwznXGxVpIWNGc42DUkp3L4khrLYjoqJDEdNkPDuIifC/1jyH7EBFx6ppzAF726lwelAUgooeI6BEiekS+UQ4b1qSPexgOu68bBa1/vyxJ+c2EpPInGQOt/knAfpXAbwK4A8B96J818CvjNuCce9g5d79z7n55imuK1zYmKbhHW61oD79lXye1u5PWG1fWuPKk2Jd3wDk3dPwS0W8D+H8GH68AuNWren5Qtm+MY18dtO2kNlacPSsniNVG0nItVoKXzUl80Vo/lvmluS7jsjslTZZyVA99krlgjYv1oHNCEf5e4064ruW+PSjGmeOH0d++lAARnXXO8blK3w2APQefAvCviOhX0ScG7wTwpQTtqYOtPWyHYXNpwS9aeVxCCk1WLV2W5s+2fOFyZ1yz2cSLL74Y+KKLxWKQLYiIMDU1FSEBmT/RNjv1er2AFNvc3MTVq1cj4/DUU08Fp+c4px9NDtj7FTRYpK1MCqKNlUUi+pmCGVNTU2a8hlSkZ8+exYULF4YbiDirkPT/V6tVXL9+Pcg2zO0kJTdHYVwOyG9XymDN+/2eO/B2IroPgAPwAoAfGQj2OBH9AYAn0D+e7MeSeAZY4KMiPpJgnP4sAksrP+jb0VrmnXQ7NsXh4VDPHRjU/0UAv3gQoVKkSHHjkEYMjsC4nMQ4vtvDtKH3swKwlpgH9T8fdBW3X9/5fuvI+r5blbmXcWx/a5V4o5G0z4lRAkkJuLjypMTYqPpxGMeXHcfmapA+ec3mBvpyS9ubJ6+EFVSjbaJqNBqR2H8u005x5j73gzi3XNKxSnq9PFZWgJj8baVSwenTp4ecACdAkYlR5ElNfn+HgVEPsBUstJ/2JkIJsKb1b6pzerpunjxaxiEttbQWWGSxxTxR9sNNaMy6FtkH2Km5NjY2IhtVOHOuzOyTz+cxMzMTXIckV4lIzQzE2W+kknnppZfw1FNPRR76ra0tNT2Wdh6B9sbkulqZlh1K7nrkTVjyWvm6tDGQOynL5bIqq7wvmUwGFy9exAMPPDA8WejatWv4kz/5k0jEINBXAnyKkQ+p4KygIr++lMuqJ+flqJeeL0MskWh+kyJFihOBiVgJ7Afj2NNJ/eSy3FpyxS3Fjtp2tlYpcctQrR9tXwa/MeR+/oMi6fiPC+ua5WrIkkGuRPzVibai82G52xhJuCSrLImZkcQcuOk4AYlxgjyAV5dd/vfWjbIG2Tr8NCnGdfuNUjCc+FLWKxQK6saqpMegNRoNbG9vBz5uLvPNAedcoky9XJZkeWvJJZexgH0gqDU/CoWCegCqRKlUwpkzZyJmQiaTwezsbES+VquF9fV1rK6uRn4vk73416CZLprv3iIQxwnYSoJR9SZGCVg2TxJCB3h1oGQb2pHnfp8+OMiEH0TrQdXsdKtNrYzlsuAz0zMzM8H3uVwOv5avAQAAG/dJREFU7XY7aFd7WDudTlCvWq1idXU1SJRx/fp17OzsRN56ki33y7XrkrwOoD+Elo2s2dha/5ZyKBaL8MPQnXNBohCgryxuv/324Oi7paWliHzNZhNra2u4fPmyKm+SeJFCoRCcXsy/lb+X508yN6ZljB6XHLSQcgIpUpxwpEogRYoTjokxByw70aqrES/j+mgtYs0vH4cAlMuzcYmbuGAd2Y+1PNfalO3ycd/S/580UWoSGWUbScqS/pbLNVNRk1dLDlMoFDA7OxsxHbjNarU6NEtqtZpqurH7NYmZpLmuLWjXxW5SeQ1aEllAjwGJw0QoAbbb5EVqmWMBfVOJli3HmrzWBE5KrFmIS0zqQ9p9frl/bZYvmIhUTkL23e121YSem5ubuH79enA0uTztaNQ1aPAfgoMqZq1NRi6XU+1s7XQqbawWFxdxzz33RI4Xc85hbW0NL7300vDBv3btWjB+3M/8/LzKYSTlsSylK+MitHnlnFMTnfZ6vbFPQJooJSAnVrFYVB8qayUgB8uagNYE5hs/ihi02k464bUj07h/6Z6z+rHIOh/O9Y8sk0lbdnd3sb29je3t7aD/JNcbNzbyAbC8FpbXwHqzam/3JMFCXFfWm56exrlz57CwsDAs63a72NjYiOyQ9FOryza13YnyIbaC3qwgIu2YvVwuF1wrzyEpGxPh4yiBlBNIkeKEI1UCKVKccEyEOcBISkDFRVoliRjUynw71uojrn+t3Th5NL6Bl86SsExiN3K5vzxstVqoVqtBPEC1WlVPcQJ0P728Lr9c/l/WKxaLmJubC9pqt9uqPStPPLKu1eJfZAxGJpPBzMxMwAvMzc1FTh/muvV6HWtra0MeoFqtIpfLoVKpRH6fz+dV80m7r/5x7VJObVzb7Xbk2uIOsZHXxZug/HY7nY6aBZkxMUrAIru0yDiNMNQeTCsrTVI73yL5RkUt+v1rMlicAF+bDFnV7GGNFOt2uxH7v9Fo4OrVq5FjtYD+xK7X68FDmM1mA8bb2uxkkV8+r8ET8vWvf31w/bVaLeAqODBHHlEvT1YCbMadSVe/3qlTpyDzWJ4+fRpTU1ORk5w6nQ52dnbw7LPPDqMpe70eCoUCFhcXI7/nh1iOIT9wPiyFOw5xqin8hYUFFIvF4DsZMcnHwO9bCRDRhwD8PQBXnXPfMCj7fQB3D6rMA9hyzt1HRLcBeBLAU4PvvuCc+9FRffBFadFm4xBzPkYRe1p9re2krh1uQyPnksomSbBxiEGelP5ka7fbKjHYaDRUZtpvexSsiEGJXC4XRD2yArRyJ2ryaOcL8veyDbkaKxaLkchAoL9CkTsZWYGwkuT2tZ2YWhQfX5uvGHjVY626RoWqj5r/VjSlX2dUyrd9HT7inPuvPWF+BYBPMz/rnLsvQbspUqSYABzo8BHqq5fvAfCfHFQQzRzQlqK8qUYmk2SXEWtB5xxqtZoZf6C9cTQbfRxIe95641tmgra8lNcJ9N+u1qnIMimJ5fbT3iDszvJXInF74TVYJo6Elk/Av3d+e9oY5nK54O0OILDzC4UCbrvtNszPzw/lAfrJR1dXVyNJVDudDjY2NiL3RpoXvqzyUFigzzVI/kCu0LhsfX09WKXxAS4ah+CDiLCzsxP8njdB+fc2m81ibm4OGxsbgbzAwTmBvwlgzTn3tFd2iYj+CsAOgJ9zzv2F9kMiegjAQwBQqVSGR0UzLPKM7Uw5Adie9SdSvV5Ho9GItEFEavwBEQU3Wz7UcdAi9ngyWUpAXlu73Y5kIs5kMpienlbtYW1itlqtSAKQVqtlblSy/PdWNiMJKypNxmlYpJblz2c5fJnGUQKlUimiOEulEi5evIhTp05F6rXbbaytrUXuQbfbHSYL8ZWAtmOwWCxieno6GMOFhQVcvHgxcs9YCfhlrKy1OdBsNkfOOw4W0vgiGb+QzWZRqVSOTAm8G8BHvc8rAC4459aJ6C0A/g0Rvck5tyN/6Jx7GMDDAHD69GmncQLWm1jbxaetBPjtbk0qLQAG2N9+93H4h7i2paxasAwrm1EBPKPe4KPsaavuqOscFcSUxAOTBBovIZUOvxwkWaZxKNob21JCPP5SCWSz2QiR6Vz/LAPtXmicwDhkocUr+fLJcg37jhMgohyAfwDg9z2hms659cH/vwzgWQB37bePFClSHD0OEiz0nwL4a+fccKM1EZ0iouzg/7ejf/jIcwcTMUWKw8U4K7aTgH0dPuKc+yD6R5B/VFR/G4BfIKI2gB6AH3XO6YaIB74p0vedz+fVZZSWJAII3XnW6TDWxiStTW0ZZS3jNBtbI+Z4F592oq10T/o8B0OLm3fOoVwuRwi/ZrOpbn7Z3d3F7u5usPTlZbPfbqlUUuM3WH4pg2zXcgVqyGazgZ09PT2N2dnZwO1l8SIcxOP3tbi4iNOnT0fqra+vY2VlJTJHWM4LFy5E2tDmYD6fR6VSUc0RuSfDcqeeP38eZ86ciZTzpi8ZMKXNrfX19eD+MuHoy1ypVHDLLbcE18DY7+EjcM69Ryn7OICPj2pTAxN2PrSHtdPpYHt7O8iAq022OPIqCSkWN1nlg2EFO2lysRdg1BmD3KZG/liMu0+KcaSbvC7OYiyvjz0v/thUKhU1WEdG9gHhDjaLY7DKOTDIH5dSqaQScJbXwkolJoOFtre3Ua1Wsbe3F5ELAGZnZ0d6ipiAk+WtVitg7K2XjrYBqdvtBi8IjRfq9XpotVrI5XKRsWRy2Z/7pVIpdmfjxEQMAjqBlCQyENCDREb9Jo4sOawl437asQKE4sokqcn/H4do8n8T14bWlyXjfqARWgdp2xqDuHuzX3JznH40uSwi2Kor+5QeqiRINxClmFiktvuNQaoEUkwk4lzENyMmWaFNhDmQy+WwuLgY2G1xQSLa7ilpP/uRgX65ZuM657C3txfYV5JcJCLMzc1hYWFh5BLdigwsl8vY2tpS7Vd/t1ehUMCdd96pRtZJvzf37ZtP3W4Xt956a8CfrK+v49SpUwGBVSwWUSqVIm1w7IUWsCTHttfrRTYAEZEa0JPNZrGwsDDM7OvjjjvuiHwul8sRAo7/ahmTAAT2cLFYxNbWFvL5fOQ+rKys4KWXXoocL+ZcPwmLfw9yuRxmZ2fVU5xWVlaG9zAuwtCaJ1oWpGKxiOXl5Qg/pgVccfyBTBHXaDTw4osvRviaVqsVZJHyMRFKgEkWGSKrBW8wY65NSn9HlTXI7B2Q0Hb2ZTKZYKJxZKOflspvQyP7pBLgSEaNnffDnJnY8yegz47L69ICrgqFgkp4+hl1GMViMdiVZp1lKJUFt+ufW8D3QIIJT02Ry5BuJgY1Ft6K6PTvQTabNXf7tVqtyNhw2PQozwBDy/GnHerC1yxh7YL06/M9tX4vd51am7/irmMilAAjCfmk1R1Vvp+64/av1T+Ma4gjxvZDFo7b/zhlo/o77P5leVz/BzUvbrRpkvTeHgYmSglY7qRx6mohwlo9jUWV7rlxvQdJ++f2rXIrFDSpDHHf+22OM7G1sFmOE/BdguPAkl/mWUwaaxDHllveI6udUffR+r0VymuVjTO/jwoToQTq9TqeffZZXLp0aWTdbreL3d3dwBYqFouRpbNzDisrK6jVasEpt0tLS+reg1tuuSWwqeWymeMJVlZWhp+5bq1Wi3AIMo6cUSgUMD8/H5TPzc0FsmpxAq1WCy+99FIwUeRSNJfLYX5+PtjVtry8jG/91m8N3Kirq6t46aWXIkvkzc1N1fa+fv16cA9yuRzuueeeiK2fy+WCMeAMQpJvqdVqeOGFFyJ2erlcxszMTLDMvXDhAs6fPx+MzZ133hnpv9vt4q/+6q/UI9deeumlyLURERYXF3H+/Plhf5zoRP7eytZTq9WwubkZKbN2TC4tLWF6ejpSzklZfDNqfn4+mC9ENMwX4UO7V91uVw2cY0yEEuh0Otjb2wtsV+1txckcZF22/fwNRHwEt5zs09PTAa+Qy+WGZayltaAiJn60nP1yYudyOfR6vWACcJIKK1GGHAP/L789ZP/8tvRtX+1oNu5Hi0TUyEbr4FLt3ALuy79ei9TSwArWv7ccGajdB21+aJvLrK281tsdiI77JDP7h4HURZgixQnHRKwEUry2kJQgHJfvGVV3XA7noBjHpt8vX3JUZKCPiVECzoUn9WqukVF75OWkkHu5eYkv285kMsGyM45Y1M6rt46UtsgjWa6FSGuJRpO2ySaCNq5Wpl5Zn11U2rhq5oxP4kmXpbwGudGH3XMyWatv5jE0tx+bB7454JxDs9lUk5ryb+TvfTPDIlD5OjUXoVYmMUphyTGQ3o1xFMKouhOhBJzrpwK7fv36sIwnmmZPan5YLvcHanZ2NiBeiPpZWqX/utfr4fLly5EBK5fLATHI2WeuXLky7NdvQ362EnrKNFhAnwAqlUrDa2i323j22WdVe1YjgDRmfXNzM3gAyuUylpaWImPARNPW1lakbS12gPvROBxO6cafp6amgiAw3gS2uroaKa/X67h27Rqq1eqwjDNDyXlw/fp1NV7krrvuiuzMq1arePLJJ4f3i8HxHnLTWqFQQKFQGCodVkAaJ7G7uxs84DL2AIB6jDy/nLT53Ww2I/UrlYq6Y1NTspZyjzufcCKUAKBrUE0L89suyVLTItp4FSAHVdsVZ7WdJCjIeuPHuQ3lWyiJCyquPA432vedYjKREoMpUpxwjFQCRHQrEf07InqCiB4noh8flC8S0WeJ6OnB34VBORHRbxDRM0T0GBG9+agvYr+w7Gjtc9I37Th1R7UBxG9VTdLXKNtTtuGvkny3pJ8c1QqwiQtq0mSVNrjWhtVu3G9lf9Y/a6zi5sV+7q0cU381asmgfd5v/6MCw5KYAx0A73POPUpEMwC+TESfBfAeAJ9zzn2AiN4P4P0AfgrAd6KfVuxOAN8M4DcHf2ORlMCyBkLjEKzBajQa6uBKv7fcdMJ1ZWZkll9mPJIkFYMz7cpsOZxQgtHtdlEoFILJaMXMy5vNSUak3cu+dzkx8vk8lpaWIjbtxsYGarVa0F+hUAjaJepvGOJ7wPdEOznXP57M7396ejrC7RSLRTWmwtpTAEQDZprNJhqNRhBUw33J7Mi+IuC/1jziOBAfzrkg3kLjf2QCGF8GuTmLzUI5D/h7+XsJThZjIUlmoRX0swjDObdLRE8COAfgQfTTjgHAhwH8GfpK4EEAH3F9Kb9ARPNEdHbQjtXHMNWyvCBNCWhvIyIKiB5+2PyB6XQ6ePrpp9UIKvlQOufU46dKpZKawnpjYyNyDbzjUZI/fPyVLOcJ60Pmy3euHwQlSTWW35+AvAFJRgxyGm3Z1/T0NN74xjdGyj73uc/hypUrwXjfc889wclCAIYpzljWXq8X9AMAMzMzgRLY3d3Fzs5O5IHJ5/PqZqWZmRksLy+rD4GfLaharQ7TqUk5JTnKv+/1esP+rLTxRBQoaEAn5iqVSkCOAvomLA7kkhmTpQxMFCZJuqO9tCJ9mt8oIKLbAHwTgC8CuMV7sFcBcBKzcwBe9n52eVAm23qIiB4hokeS5rpPkSLF4SOxd4CIKujnD/wJ59yOWE47IhrLUHHeuQMzMzMuzh8rP8cx7kmYeNag0j6N29op29PeQNJ8YfPEale2oXlINHOC29bK/L60eAj/OpL4r/kcP+1NqI2t9PNrIdZEpLr3+O3Kqzmuxy5Kv741LnG2/Cho/AKHPcvx5lWmdr+kWZv0AF0u5/58Gaxlf1J+wIrXABIqASLKo68Afs8594lB8Rov84noLAA++vYKgFu9n58flJkoFAo4c+ZMZOnNy14rY7AcFA4ekRuAJJxz6lFR/J3z3I/ZbDZIvAH0B1Q74JJPR2LwfgRtyef7whl8YhDf2Gw2i6WlJdV2l1lqJXgyTU9PB7LyuMqHs1AoBEvUN7zhDXjd614XTLZqtar6nuv1euTBqNfrwzHkNnK5HJaXlwNTq1Ao4MKFC5F2pe3MY6FtwAIQxC9wQldNmUulzfa4vGczMzOBnc9HhWntyqU/8xo+rJcem3C+WcuHp0oey//rl2vckLYvZNin+c2rwhKADwJ40jn3q95XnwLwAwA+MPj7h175e4noY+gTgttxfADQv/m33nprxMbsdrt45ZVXgkAXvlFSM3Mab19DajeJBsFC2qDKBBONRiPYEUZEmJ2dDexZ51xwLjy/RaQS2NjYwPb2diCbfLA445IvJ1//mTNnAvklucqEkJwA3W5X3YHG9rc/tm94wxuG/fp9feELXwjGptfrYWtrayhDr9fD3t7ecMclo1AoIJ/PB4FY+Xwe58+fDx76OHZbW035Y6BFIfI1aJub5HF2RP0NZ3IMOQGMFUviy2UR3Nompmw2i3K5HFEk2opOZjTy25XjpW2q8pFkJfBWAN8H4KtE9JVB2c+g//D/ARH9MIAX0T+YFAA+DeCdAJ4BUAPwgwn6SJEixTEhiXfg8wAsJ+M7lPoOwI8dUK4UKVLcIExE2DAvxX0blePuteW8daqPPD1WWyplMhm0Wi2VWJM2crPZVOPjW62WmaRBLt0tP7aWn07+nuvKPHIWicnLfIbvr5f1NDSbTWxsbETqa/YwoMd19Ho91Gq1oQxsUmkbahqNRsC3sN/dX7paB61o1wWEef942S35CzaHpGzsOvVdhNZ90u4v9+dD3j+GRvjx/JS/1/YY1Go1NBqNSNvtdhvlcnkY48Jka5wHbiKUQKfTwcrKSoTAcs5hZ2dHPWlIG9Dd3V1sbGwER1jJzS8AsLe3p9posi8r2zD35SOTyUTiFJzrb9rQjrXmoCJ5HZJAIiJcvXo1sdeE+2Nw8I9MisrJTOXEunr1KlZXVyMPzDd+4zfi9OnTqnLiycqyWDyOlLXZbOLq1asBOcqZfX1OwPcOSGhlS0tLEcKRXw7y3hIRtra21CSugL6jU0LySn5/8rq0hLdacl0Z58AEr8ww1ev1sL6+HmQ3cs4NY0v8uvKeROQzv7mB4JRhGjEnNThPdst1KNvVjrDyU2IzZFALa3RNg2qTijMb+Q98s9lEtVpNvDGJd6/55Kb1QGlEF2c38tsrl8tBoAhfkxyXWq2G1dXVyJvojjvuULdYa9l6OEOU/3Bb0ZX+ioHBR2r5Kw9+i1kuLvkQ+tma42Tlh1WWs3LziUEtxRuvApK4lTV3MP9eEnbs3fCvgVdIfhu8k1RTbr6LlcdE23XKSDcQpUhxwpEqgRQpTjgmwhzQlmxxkXka0aIdHsLkouZL1gidpBlgtGg57stfdlkJRaxoOyvbjoRWrnECLINW14o7lzJsbW2pceczMzPBppR2uz3cAMSI81Frcu3t7UXs51KppGYW4mStmjngm1BsM2tzQOOGOp0OqtVqJGDMOj1YW2JrWYysXBm7u7sq4Sf3xuTz+SDCksl07feSLGy1WhGeQWJilIA2oLyZQkIexwz0J6BUAloKKe5PgpWLJoMlsw9Oo61lAU4KaQs6F+5s5L7kePGk8DkBPute4zU0xpk9L/7Dubq6qpJKt99+e5C1qdls4rHHHotMeCvIh7NG+9ACmKamplROYHp6Ougf6EdD+hOex0PLDKRFg25vb0fGJZfLYWFhQfWQaHODlZB/H7Uj0+ICoGQ9znYkPU8zMzNqhiyZZp+5KQsToQQAPW8eEA503ApBgrWqFm6pQe4itNrVwMRkktVEnAy+vNYeCa0fLtNy01lKL4nXgQk0LXRZWyHEufSsPuQ1+NDcxFzXesPLMQD0e6C5SlkJcn0m6ixvwaj+LWJyFOQclO5EfzWpyaDtn7CQcgIpUpxwTMxKwHrjjsouzGDTQWphfz8BI87lk0QmK1uvlNd/oyeBNGfizAGr3Le/M5kM6vU6Njc31WAjeX2dTifYvNLtdlV7UtvP32g0MDc3FwkW4v6TQHPH8U49zfziPnxUq1Wsr68PP7PLb9w3sR/7sLu7G5hE2WxWTdSRzWaDuAxOFKr1IeXXgpCsVVuj0VD5B2mOMKdiPUsTpQS0JVsSEwHQAzeazWZAzvGGkKTBJ1odbeMJoC/DtHatm6otJaXfm+tpSkByKKwEtKhHbbw4rsJ/YLSoNCJCpVLB8vJy5PeNRgMzMzNDu56X0lKJ8MNunUosTzCyiFzNHOBTpxgcCzAON+O3y1yPBPNSsv9SqRTs2rS2c1uEocZfaLEHnNlZzrlms6kqFwsTowSA5Pa3VVez/TWbelR/SZWB1W5SjGrD4gTGbdPyRGh8izYJNRks74Kv4KxxHPcaxoG83lH2cNI2kyohhmbTa21aGbH9VWTcKjXJnBmFlBNIkeKEI1UCKVKccKRKIEWKE45UCaRIccKRKoEUKU446KDM6aEIQXQNQBXA9VF1JxjLuLnlB27+a7jZ5QeO9houOudOycKJUAIAQESPOOfuP2459oubXX7g5r+Gm11+4HiuITUHUqQ44UiVQIoUJxyTpAQePm4BDoibXX7g5r+Gm11+4BiuYWI4gRQpUhwPJmklkCJFimNAqgRSpDjhOHYlQETfQURPEdEzRPT+45YnKYjoBSL6KhF9hYgeGZQtEtFniejpwd+FUe3cSBDRh4joKhF9zStTZaY+fmNwXx4jojcfn+RDWTX5f56Irgzuw1eI6J3edz89kP8pIvq7xyP1qyCiW4no3xHRE0T0OBH9+KD8eO8Bbz08jn8AsgCeBXA7gAKA/wjgnuOUaQzZXwCwLMp+CcD7B/9/P4D/+bjlFPK9DcCbAXxtlMzonyf5x+gfQfctAL44ofL/PIB/pNS9ZzCfigAuDeZZ9pjlPwvgzYP/zwD4+kDOY70Hx70SeADAM86555xzLQAfA/DgMct0EDwI4MOD/38YwHcdoywBnHP/HsCGKLZkfhDAR1wfXwAwT/0j6I8NhvwWHgTwMedc0zn3PPoH5D5wZMIlgHNuxTn36OD/uwCeBHAOx3wPjlsJnAPwsvf58qDsZoAD8Bki+jIRPTQou8W9egz7KoBbjke0sWDJfDPdm/cOlssf8kywiZafiG4D8E0AvohjvgfHrQRuZnybc+7NAL4TwI8R0dv8L11/PXdT+V9vRpkB/CaAOwDcB2AFwK8crzijQUQVAB8H8BPOuR3/u+O4B8etBK4AuNX7fH5QNvFwzl0Z/L0K4JPoLzXXeLk2+Hv1+CRMDEvmm+LeOOfWnHNd51wPwG/j1SX/RMpPRHn0FcDvOec+MSg+1ntw3ErgLwHcSUSXiKgA4F0APnXMMo0EEU0T0Qz/H8DfAfA19GX/gUG1HwDwh8cj4ViwZP4UgO8fMNTfAmDbW7JODISN/N3o3wegL/+7iKhIRJcA3AngSzdaPh/UTwz4QQBPOud+1fvqeO/BcbKlHgP6dfTZ2589bnkSynw7+szzfwTwOMsNYAnA5wA8DeBPASwet6xC7o+iv2Ruo29f/rAlM/qM9P8+uC9fBXD/hMr/uwP5Hhs8NGe9+j87kP8pAN85AfJ/G/pL/ccAfGXw753HfQ/SsOEUKU44jtscSJEixTEjVQIpUpxwpEogRYoTjlQJpEhxwpEqgRQpTjhSJZAixQlHqgRSpDjh+P8BkwUoAtdRGXYAAAAASUVORK5CYII=\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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pIvqUbQ+fI0eO+4uZiUEiagL4MIDvMsbsEdFPA/ghRDzBDwH4MQDfJtMZY96L6J55XLp0yaSdhlLKzHzWOAEZ3uv1nDL29/dVAxdbjahUKlhfT17kUi6Xsbi4mFATBoMBisUiLly4EIctLS3h7t27CZ11c3MTN27ccMiyzc3NRP1eeOGFhLch5jVsFYTbai/XC4WCSgKWSiVnC69SqSS8BvtI22az6fRdvV5PGAt1u12Hr+j1etjb23PsKewDTsYY7O3tOZeKsB2CVNekrYN2o5PPU7FGyGXF4TBtm3HS7TmiydyLpdUhrbzj4gRARGVEAuDnjTG/Mq7AhvX7zwD41wH5qHYCmgsn+TwJgyr1cM01dbvddgafzcAzMSgNdEqlEprNZkII8F78mTNn4jB+tgfkzZs30ev1nImxsbGRqN/m5qbXXbcNnvTcB6VSCfV6PUECsjCTE5x3Azit5koN0G0W7F0E5jmkgOr1eqhUKok+ZlsE26hqMBiortS1A05ynGin70ImMiOEY9Dyn9a2YVZBIBFyS5GNWXYHCMD7ADxtjPlxK/zimC8AgG8C8JnA/OK/04w2tHDfcxpLmvZyQySpNvE04xibLAOiCVkqlRJl8BdZniKU9fLdWZhVF2befSSdDbmVyM+TCGCur7aK4HpJw6UQYlB7r7Ju2tiZZrvwOJFVt/uNWVYCrwfwzQD+mIieGod9H4C3E9ETiNSB5wB8x0w1zJEjx7Filt2B3wGgfarzuwZy5HiAMBcWg4C7pE3b75XGIRKaFRYbkdhxNCs6eQiGiFCv1+OTeqxLS8s9ey/fLkMuh8+ePeuQaisrK7hw4YLjfOTMmTOJeBsbG45noU6ng52dnUQZo9EI/X4/rku/30e32820iQBcTqBUKqmcgHZewbaTYO5kcXExEafZbGJ9fd0xgup0Oom+29racjiBnZ0d7O7uOtaWkjs5ODhwDI+63a5zQ7Bti+Hrj1B9PUs9SksXatsgjax4LMoyVlZWsLCw4MyT69evq/nOjRAIIVVCjSTSyBJO42OLu92uM/hqtVringC+LCSrbE0vbjabjgBZXFzE2tqaYywkrRdLpVJ8RTrnv7e3lzDVBe6RavblIxqhphkftdvtICGgHQxqNpuxH0Si6Ci0tEjko8+SE7DNhJlklO+Bdy7sdvR6PecuBnmyULNI5DbYRlpEFHyFfQimJQrToAkp+S5qtZojfI9td+AocVTE4HERLZKUmsaajZ99YXZ4CFkWalnn65PQvtKIQR8hJxHyDrX2p/VTWl5pY8dXX5vMTIsXgklXA1ljfZoyJx2j+SnCHDlOOeZmJRByhbUG7eug6VgcZsdNu/7Jzl8aC/nsGrSlpK8eNvimYhulUgnXrl1LhJ09ezah1xoTOQaxDygBQKvVwhe+8IV4L77f7ycciPCyV3Mqwqf87LpJXZrbKtFqteJTg6w22acjeZm/srLibJtKO4ZGo+G4WG80Gjh//nzifXS7XUe9unv3rqPr7+/vO9yJbOtgMHCuZmO1Sb4zqV75rnSfdmWqjet6vY6VlZVYFa1Wq3j1q1/t9NPS0lLivArn99RTT0HD3AgBGzxRQgw+NCMgX8dLLyyaJZxMr1mGaUJglr1oInJsBwDEA56xsrLiWDMeHh5ibW0tEba/vx+TbUA0UcrlcmLA+2wONGMpzTmKjMN52vUrFAqQJuG1Wg2DwSDBqVQqFefkZ6PRUL0oSUHb6/XUo9k2n8C/aQLPJv7YfZvGJ2hGWnJshFgk+hCydC8Wi2g0GvEEX1hYwJUrVxyrzHq97nBW2keLMZdC4H5iFt3exlFwEWm6bZq+Oq1RVVraNNxPA5fQOk/aTxonoD1P2sfTYpL8QwnynBPIkSNHEOZmJTDL1+Uo04ZKz1kZ95C006oYrK5wW6TfRA5LY+DtL2DolyekDbyEloelNJ06SzWbBTbHk5bntF/6UPsChjYOZdlsbs1qrO3PMSRPH+ZWCGjbUlo8DbMs0er1uuP6u1arOcRgCOGn1UW7NkrbxwfgGLxoe/2VSiVxQAmI7A5qtVqcvtPpYHNzM8EJ8AElqbNvb29jf38/oSdLOwQgIgGlDqwZ5Mi2lkolbG5uJviYcrmMpaWlxGGjtbU155AS39lowxjjEGOHh4cOMWj/z+Dr2Xis9Xo9x4sye2rW2ir5j1CDtxAiu16vY21tLdFPly9fxutf//r4BKsx0TV07M3JrovkvzSnsoy5EAKaxAfSrQFDELJ/LuPYhkEMezBK3dPOy/fCs76kmtEOs9L2s0Y8lUolZ2KMRqOEG7J2u42lpaXEYBkMBiiXy46hDX9puC2dTkfduZGuxI2JrPJ48vnIXSLXF2OpVMLh4aFzDFtavTUaDdTrdceewI7HOxDS5qJarSZ2EYxxL3MlIsf1GxOosg/kPRFypZVmw2GH+wRUqVRyjK3Onj2La9eu4eGHI989vV4Pn/nMZxyjKj7Cbpft80gN5JxAjhynHrkQyJHjlGMu1AFgMhJsFlNL39abD9Kk1bfE49+y2pGmNmRtW4WSTVrbpM7Kfg7kMrFSqcT78ZxHpVJRl6vaRSWScPNdryWJQZm23+97PSFJglPq4vbhKc5fcyXPy3xuG5OTUh3QVLEsY6AQVdSOK9vKh9RsdYA5E64L95u0fzDGPbiW5s17boSAr5O1sGkY/VAdXl45xsQgH6KRRGFaPXjwaHyHTKcZC8ln3+EWWa5k2wuFAhqNRoJ4Y1//Up88c+ZMwvim1Wrh7t27TrkvvPBCYuIaEx1mOjg4iJ9tgyWGdjCKiOJ0jJ2dHVVAaUYwfFjGJjNDSMter4eDg4M4Xb/fR7vdjoWAnZ9G2sqJrHll1oSgDR5P8j7Ja9eu4XWve12Cx2g2m/FtVUDE17zwwguJQ2VAdK3d8vJyYhxLC0IbR+Fj8DkA+wCGAAbGmNcQ0RqAXwRwFZFjkbcaY7bT8tFMLrPg20FIi5/2DCCxBcOoVCqJTmQLN5mXlp/vtKIN7Usgvz6TbjfZAoMHmqxXsVh0LBCbzWZCMOzv7zsn94wxji9GHvAcZoxxvshcriRC5SlCIGL45VdfXiADREJgaWnJIcE0l+7yslSe9Ix+v49Op+PsykyyLWun01aNWl5sNm3jzJkzuHr1auI0IJfB7eD7KqQQMMagVqsFC4Gj4gT+sjHmCWPMa8bP7wHwcWPMYwA+Pn7OkSPHHOK41IG3AHjj+O8PAPj/APw9X2QicvYxfVtik6gC0xiayHg+XV1TX3y6Y5Y6EHLwSKtLGkK2V0N0XXZaKtM2Gg1nJWDvnfOXVubPqw+5EgCSdhGars/5yrpoqw1tG1bGk2qD9vVO6/O0ccK/a/vz0pBrcXHRsf9np7W2isGrLS5nOBw6q1Tgnkor1VofjkIIGAC/TkQGwD83kSvx8+aes9EXEV1VlgARPQngSSDa/5QuvNlII1HQeFmnWZvZ0PZ1ffvWEjJ/frnyxmDNLblWF81x5ywnJjVogtG+U1Db6+YluObR1+6narXqvBvAvbPQGIPt7e3EST2+1txGt9vF7u6u421YGvj0ej3Vbbh2cEkSYxp8Ak8u/TV1UFvWhzofkRwGEcXem4BIKJ47dy6+1o7Leeihh7C6upqY4O12G9vb2/E7GwwGWF9fj1UGTsuGV1KV8uEohMDXGGNuEtE5AB8joj+zfzTGmLGAgAiP7x14xSteYVZXV+3fMBwOHUsoab2l6ZdSWtppQ16aJkCYRJNhoj2qRZ9GKGWtFiTk7oSdzhff/hLYX2c7rWakJPupVCo5RCjvGMg2VKvVmEA1JrJmk5OHjYzsycyT2L7CTBOKGsPP7bCfJ+FPgKQJse8yWxmWdv2bDc3N1/LyctxPxWIR6+vrsQEQ4+zZs1hYWEj0M19rz/01HA6dOEAkuKVBVtpKYGZOwBhzc/z/HQC/CuCrAGwQ0cVx4RcB3PHnkCNHjpPETEKAiBoUXUYKImoA+DpE9wx8BMA7xtHeAeDXZiknR44cx4dZ1YHzAH51vNQoAfiXxph/S0S/D+CXiOjbATwP4K1pmWhbWL4lPREl1IF+v+91IGmDl752ntoerlxysj05L1/52afXa3WW8UIIOom0/DVizL5ijffm5bK50+k4+rTsT77STKuPfC4Wi/F7ZJJN9jHfQGTXZTAYoNFoJPiJg4MD1bkJ79nb9gkynrZMD93m0/R/TUWQY0B7h0TkHG7S1IHl5WVni5DJWFmGreZx27V3aNtwAOlnB2YSAsaYZwE8roRvAnhTaD6lUilxXx9wzw21DGu1WvHA4sEuJ4E2uDudDtrtdmJiaNeQyckCRDoWG2iwwPLpphonkMUTSIKKIQe3dMvNg0ByJ9xPkjuRA0prqz3RAL8QaDabDk8ir2EHIoLLhhRQXOb+/n5CCOzu7jrvUGP4jXHvItTgs9cI3ZWRkHyKtEPgdJrXX3vSFwoFrKysOOQrX+km37f9Pph3kac8Dw4O0Gq1EvXWPEYz5sJisFgsJk69sQSU99jxVVq2ENC+cPKaK45rDz7f11cbaP1+P/GCNeHBgyxLCGgIEQw8aaXBS7fbdaztBoMBDg4OnN0BjRjMOiLLhkxyIminLdnkmGGvDOxytRN5+/v7iROI9Xo9c5XCbdN2DLQyZX/64oVA+iLs9XpOfXkloBGDLAQ4jpykfJJTvjN5vZwcm8C9MWwL6bR25QeIcuQ45ciFQI4cpxxzoQ4A+o02mn2+vQQl0q/XtokjRq/Xiz2ucFpfPTRjEV5K8t+abuqzMdCMeWwwuSOXfltbW4kwzROwxicMh0PVvZish3ZoqVKpBNlUlEolZ5krCTTfiUvNcEWqFzYZy/A5X5HxtKWv5l3ZVuHs9xrCE8j+lPvyQNR+qdLymGVLQnY3r1lH+ohR+4CTtEMA7qmDITYlwJwIAe4YG9pLKxQKqFarDnstG9tut51JNRqNcHh4mOATNFNPngSyfkxa8d8+a8ZpOIF2u429vT1n5+Lpp592CDS5c7GwsADb0Iphm6v6BJ6m60tzU3bfLdugpZUHd3wTQwoHPsxk8zX1et15/z4hoMXTOBtNCNjvUTtAxPEkZP69Xk+9n0Hq+vzO7FOp2oeMd3TscpgE5w/QaDRCs9l0BE2/33csNeVHy8bcCAG7E2xm2gYTIzakmaePaecBGrISkL/ZwoLJI+2LPwkxaJfBZ8LteIPBICEYuF3aqkITWiFfZTlpAfeknmb/74NWhvbsq5vdVvt/RogQMMY4Kxztnfn6U26taatKrX2j0UjdRdHaao9Zad3JkL4OuAztLIYEk6VyjPmQcwI5ZkbIHvwXQ5lfrJiLlYC2NaN9fSRP4LP11tJLRxu+r5s89UVECQ88XKbmgTfESEXuwwORA42NjY1EnYbDoaMi1Go19boy+QViPTPrC+brN6mWaF8bTYctlUqJuGmHcTR9VZbrW4bL+L6TkFq59jNzTBy/VCo5+rmm5nH95FdarlJsgyYZbm/zaWPY5g0Yh4eHiVuo2UZClqtdTS6NkWzMjRAIsfqi8ek4+zdtILNQkctr28kFX0ElIa/NBlyDmVKphO3tpI8Urpu2vLbDdnZ2nGuzbt26hevXrzsusba3txPxrly5krBAY8MlqXdqQkBTS7TlpeQdisWieg27JmRkW7U7FjWwmieFgIZpT2AC7liRJDCrVlJt0MqV9iSaqqJxTlyu/VHRhGW5XFZJP3aTznXTvEHXajWsra0l0mrvkDEXQkCCO06bpFlhPn3SBx8xZof7dDaZj+9OARtsvScJH9utFcfTjGBCdlHk10Xrz7Q+lvp0qCmtrItvlabB1r3T6haSjwbfe9HaZYMJ5Ky6+FaBGqdg56etjLge2klAW5jzh05baWgemHzIOYEcOU45ciGQI8cpx1yoAz5OQDPa0E4Cavbvco+V96IZvNSS/ILmRFTb15Z33ReLRVSr1QR3wDyBXW673U4cZALuGYXIuvB5Ci7b9kjD4bJMDtfOTsj8tb6Tae0TazZ8uq699aXVQwMvmbO4Ht+yXBJ+WpvkstyXj/bupRclrjNvRaapCyFbhBq5Wy6XnbG4sLCAxcXFuJ8GgwHu3LmDTqeT6Lvz5887W4THdorwqGCMcQ7BANqIfFEAACAASURBVLqdgGTQW62WY7hzcHDgdEy/38fCwkLCBkEaWXC8LEOTwWCAZ599NhGnVCrFfuHs+tdqtUTY1tYW9vf3E+2wD/swiAiXLl1KvEj2NmPHqdfrqkGKZLi1o68aqaaRZZpeqwkBFoS+vHxptfr5JqnN5jOyjmv7JqlPl9bIXRlX3rug2VxoZXCf8KRkH45yLDLha+fZbDaxuroajyd23yY/SFeuXIktZBnaWI/r7v3lAUWogY6PkMkikHz5a+FZW1xpkNtIdp3T2qWFpxGDaeVPg5D+DOnj0DJkfqGkcloZIflpW46T1COrn7Rwbcz6xuIkmFoIENErEN0twHgUwN8HsALgbwN4aRz+fcaYj05bTo4cOY4XUwsBY8xnATwBAERUBHATkY/BbwXwE8aYHz2SGobVJTh8Vqk5SZlpX7ajKHfar/Uk5WhtOK5yp+2TWdMeR14+G4GjqMtRthU4OnXgTQCeMcY8P+0A0XRH37JRGgFJZw4HBwfOldvsNozT8j6qZvAiw6QLL83mnD0h2QRnoVDAcDhMkDKHh4eOgYcxBo1GI5EncxZZe72h5JuWznePn31KTSPLAGB1ddUJ55OFtvriu6kpVFjKOmuTS9PtJ7ETkXYRIWkl4VcqlVS9W1v222Sxj4cYjUaOd6Dt7W3cunUrvnFoMBhgcXHRMQSq1+vOu00zqDoqIfA2AL9gPb+biL4FwKcAfLfJuIKsUCioZo0+F17coMFggFarlbDeM8bgmWeewe3btxMvk9lW7tRKpYJz5845nf/QQw+pHo3syd3tdh0ypt/vY29vTyXa7DKkoACil/bwww87+p/tbck3UYrFokMMai68NPZdHgcGgL29vYS5si/ehQsXnJOKttmwb3eASUAZZu9e2MInhOCTeYVC0+tDjn4D7kdLu6RFaz+TxTYxqO0O8Ni283vxxRfxuc99Dnfv3o3rIN8DEN07IPNLuxNxZjsBIqoA+BsAfnkc9NMAriFSFW4D+DFPuieJ6FNE9KnNzU2V9LDD0kiY48BJlOkrJ6tcXz+lxZs07aT5ZeUfWua0aWW5IXFD65GW96Rhvvwnwax9fBQrgW8A8IfGmA0A4P/HlfgZAP9aS2Ssy0cef/zxmZSc49Alj1vHzCrXfnF2mPZ1D62rb0cjqx73Q/jZZR5F2CTv76h1bBtH2XdaXqFhaTgKIfB2WKoAEV00964g+yZE9xBMBF8jtHDt9FbISzXGOAYVQMQnSI5BHvjgJZ0N5gnSzm1zPM2RKd/MY5epqRY2+LBLVvuNMY5X5tFohJdeeilxIg1A7L2Wn5vNJs6fP+/0k3bKzdZtbeGhfZ2yiEbNhmGSMA0hgiKk3zX44minKKXapPFQmvAtl8tYWlqK32O5XMbly5cddVBeQ5+FmYQARReO/BUA32EF/wgRPQHAILqW/DuUpDIf5+JF38uVX0jp0YV1Tm1pZGMwGGB3d1cVAjL+2tpa7DrbmOgKLukivdfrYWdnJyFANG/IfFjIBt8JKIWAtBjUDuRoxCin4YHZ6/Wwv7+fKLfb7eKTn/wkbt26lUhXLpcTHMDVq1fxyle+0tExm82maoXG6dIEccgdC5o1o+8asiyhr5GRPnsPnx4v+11LpwkCm4eyw5jM47Ev02ou4Wq1Gs6ePRt/gKrVKh5//PEEdwTAcd8OHCMxaIw5BHBGhH3zLHnmyJHj/iI/QJQjx4w4Tk7hfmBuzIZnIXK0tFLv1H5PI1AkGRfqvSbt2S43ZOuL1R+5dSbzzyLK2M5BOsHwLYflGfZpyK000jItPO1ZC5+FGA0pN6TtaWPNNyay2qDZxLDqwGqYtnUbWmcbcysEfJ1q64qaM0YgImOkByLuPO4gPuyi6djyBXU6HWxubibyl3fMsaNJOz8mAW0BwjqirJt2j73kDhqNhiMENDJS3kB0cHCAGzduYG9vLxFne3vb4ROWlpawvLwcC4Ll5eX4qmsbmoFLyMTWHGFIJ60sdEM5gRDPQtpE0xzDhkKOG82lu48nsOtMFN0iJN+11q56vY7Lly/HdibaoTUg4nVCr04H5kQIaC8c0Nlw20UYk27S+q5SqTiTVHoMKpVKWFlZccq4e/euc9XX5uYmbty4EYfV63W84hWvSKQjIjQaDcddt2ybJPu4bpIhHo1Gjtto7a4/FlI2Dg4OcP369XiC3717F5/+9KexsRHv3oIoOoEoB9DLXvYyXL16NWb+z549i8XFRaef5BFpOXF95K603LTDbEtF7To4312EmiGMtsWaRQymfZG1/ENWST5SUZ5K1XakpAu3paUlXL58OWb+fQJQXpHG9fXWMbUFOXLk+KJHLgRy5DjlmAt1QC6PsvgAe8kpwUs0n9152p47xwt5lstSzYEGE3lp5qK+tFo8ufwjItUhKd9Uy0tM7ltJ+Gk26xzG9fE5FOX6SExD7mXFnQZaPY4y/1DCNJSk89VX4yxCeIwQkpoxF0Kg3+/jueeec8K1BtpkDk9E7fAR3+/ug+3dxYZm3GGXxXW4fft24vdSqeSc6DLGOIejNOuwarWKer3ucALaVWpS/z88PIwPlDD29/fxuc99LjYYYS8zKysrcZxCoYBz586h0Wgk0j700ENYX1+P+4aJwazBPImO7bup6biRJaC0iR2q+3PckHCbMOT+0K7ck7tBpVLJuXJc40P4MFMo5kIIdDodPPXUU/Gzb0AwK29f5litVrG8vJxIW6/XVT/xIauNhYUFdSLbpFWv18P169cT6Wq1Gs6fP5+YVMViEYuLi1hcXIzD2DrMfrnNZhNra2sOqbi/v5+Q/t1uN0EgGRO5Zbtz506iLjs7O3jqqadigbGwsIALFy5gfX09UY9r16459xheuXIFFy5ciFcC7ObKt4Vp/x3C8Pt2B6Zl6QGdBJT19H1VJXzHtX1f1pCVo7byk0JAriyJyLkbo1gsot/vx+/GR4pq9xik7aDknECOHKccc7ESAHSnoj51gKWm5hQD0J1+AO5Blqw4vmffV1H6HeBlni3lfVtGWUtin5EJ52mjVColthLZ2al94Efq/gzpbCXEoCotLETX1eJOoiKExAvJL3Q57wv3xZPclOR20sa6fNZ4oawytbxszIUQqFQquHz5ciKMnXTY6PV6eOGFF9QroIF7RNzKygqazaaz5LaNYHxLKb6uzAYfBLLL0RyPPP/884k8y+Uyzp07lzjgcebMGceeoFKpON5h+Q5A+2XyNeE2isUizpxJHN/A4uIiarVaXJdyuYzFxcVEnYvFIi5evBirL9xXq6uraDabcV14r1oONm1Qhdyiy4JRxpOGQJPs2YciiwNgXT2EMJ62LmwDYZPbmsGbZk9RKBQS44QouoZO8w4l85TjxsbcCIFHHnkkfmYDGDmA9vb2cOvWrdiTkHZKD4gMXi5cuOC4XF5YWIi/hpoeBkSdJY1gBoNBnI4HpyReDg8PcfPmzYRbs0qlgm63m5ikfErPLqPX66Hf7zvuoDS34VJAlctlR68HgIsXLyZ2QiqVinOfAF9caWNpaSnh6ponhdS7s77wvi++tA4E7g14aWh0PyBXPZolpIZJji9rAjRthwuI+kQSw+VyGf1+37nHUBLc3L92udqVdoycE8iR45QjFwI5cpxyzIU6IOEj36TO5tu64aWzvK1IngkIOXgi94mz9owluaWRhT5iSKa1yUvNuIeIYvVCqzODt4ykOqAtfX06cahxT4gePwsx6FNDsuCLM8m7lek0wi+0bLtMH3fCt2Fx+lKphFarlTD+0sjdXq/n8AnygJKNICFARO8H8NcA3DHGfNk4bA3R5SNXEXkQeqsxZpui1v0kgDcDaAF4pzHmD9PyLxaLOHv2bCKs1WrF97DHlS2VcO7cuVgfHwwG2Nvbc+LdvHkTzz//fCJsdXUVZ86ciTus0Wjg5S9/uTMJNLdZ7MKZ0el0HG/DTNq0Wq1EvG6367DyUo8rFAoJMg6IBo7U11dXV50rwkqlkupt2L5OTSO8iKIDT5LbqFQqjqDRMC0xyIeA7HCur00M+jwLacIy1L2cJvDs9k8iBDi+3QZNQEldnN+ZvdujxTs8PMTm5maibUSEGzduxGmLxSLW1tZUz8KyLtIFv43QlcDPAvinAD5ohb0HwMeNMT9MRO8ZP/89RI5HHxv/+2pE3oe/Oi1zIkoMZO4YeWJuMBigXq/HHcauxaQBzc7OTuybndFqtXBwcBBPouXlZTz00EPqRZC2VZ8xJjGJ+SuuXVyp3Vmo3ZPY7XYTA1waMnE5sm5M2tnQhMBwOHQuPdWY8Fqt5gg8HxEYYpAjn30EohQO2lHiNPIxLSzki2+HpZlFZ+Un48rVnbY64PpmEa18vNgeF3Jnhf0hyneoCWj5obQRxAkYY34LwJYIfguAD4z//gCAb7TCP2gifALAChFdDCknR44c9x+zEIPnzT2vwi8COD/++2EAL1jxbozDEiBx70COHLPifm0rfrHhSIhBY4whoonegLHuHXjiiSfMJIRP2sv2HfjQLO40ndVekmp14b99npDlkluGMSegufDS0vqe7XAf8TQLYRYSb1picJJybWQZ8WjvOCu/EAvRLJXA91sauSltImQ8tgGQ41DaGHQ6Hcfexee92IdZhMAGje8YGC/3+RTLTQCXrHiPjMO8MMY47OXh4aHjWefw8BAHBwcx+VYoFHDmzBmcP38+Ee/q1atOp965cwcvvvhirGN1u1387u/+rvMiX/nKVzpeiexjuUDEL9iehoBIoKyvr2NtbS0Oq9frePzxxxPWkHwFlbRm1O72k23wHW7RBpp0r6YNshASTCPefPF8ur4NH4EWAl+dZb/4PA3JeLxjksUB+E7qhVgRagZp8mCQ7xRho9FI9F+r1cLe3l7MM/FpVtnHV65cwdramjPGfJhFCHwEwDsA/PD4/1+zwt9NRB9CRAjuWmqDF5rEkx2jEUjFYtF7bNLuBJ4U3GGDwQDtdtt5kXwW3/6q2G6t5LMNyfrXajUsLy8nTu9pA4V3JNKkdehWGMOeMCexTJ52JWcjxHxXhmWtErUwu59CJrYvz9B6+FaZEtqOjj2G2WJW20XR8vIhdIvwFwC8EcBZIroB4B8gmvy/RETfDuB5AG8dR/8oou3B64i2CL81pIwcOXKcDIKEgDHm7Z6f3qTENQDeNUul5hFZS9isr8w0ZcwzfLpuVj9pnIsE99u0vIFmyBNq4OXLM2RVM80KJ4070PKUxk3atfTaNm9a++fCYrDdbiecdBhj0Gq1cPNmkkoYDAYolUrxybdisRgfk7WhdeqFCxfQbDbjpROnlZ3zlV/5lQkPPMYYPPvss/ijP/qjOKzT6TgnGZeXl/GqV70qcVioWq3i0qVLiTBpKANERE7IANJIK20gGGMSh098e+HSY7CvTM0Dk7RDAFx7B+3eRR8nIAettny1nWnYabWj1LK9vnJHo1EcV/P6zJxIFrfhI5m1vpPQDrNpBj/sRMdWX4rFolPu4uKic4o27W7CuRACknxK63ggaajhk3BSessXrHlf0cI1ww4ftDJCWP5JVgshejLXMaSc0LKnNRaaBJLDSHu3Wc+yvpOsLGbpJ7vMkHRHsUsSsgqd+5XApEjrBLkMnCStFj7tQM5xtHiQVKUHDfkpwhxzjdAvao7p8UCuBI4SPkOb4y5j0nizEFuTlOkrJ9RYaNpyfWFH8S7SDKqOC0fxvtKMjbLymcQWYy6EgDxkQxQdbnn44aS1cb/fx+bmZsJwJ9Roo9frJQaD5r4biNx/XbhwIRG2urqauHZsOBwmTgsC0V4/u+dmjEYjtFqthCGU5nKcbQ9kuDxV6LMl0F64fe8CHzmVVooa5B0Iw+HQeT+aAVEoB8BkXNpeuU0U2uFsaakRZmkrhjSd2e4TzWclE6iyTCZz7fHk820pw9j9l912bUxIXkzek8n1k2FcFztPza4lbov3l/sIjXzTWG8+vZd2a67WoaHl2vlJBtZ2L6b5dWdzYO0SEa3MkDpqAzuUpNTKnpWAPAmEGgfNQoKGcEyTkq8+bsr3zmbp71nfVc4J5MhxyjEXK4EcOXyYZGV3EgjRvUO3VI8aoXnOjRAIPWjiu2uAwTqSZrhh63CsD05ChHG6tL3+LAuyNFXAR9LZRNAkA0ouWUNJwLQ8pwmbFD71J3Sv/yjVnrQyQzmQo8Ik7ZrEvmUuhEChUIDmU0BO5GKxiMuXL8dWWOxeTJJ0m5ubzp0F7XYbrVYr7oxGo4Fr1645gkC7w5AttRhE5JzK4rsD5f0E0mpM8+unXSrKcW1orqo0fsJnGSehEY3Sek2z+uN4WhlZAovrLC/QkHW074eww7RJmWWMpcWTefqefe3wfWTsZ1l/Xzytj3nc2HGHw6FzhZmGwWAQE+G++tqYCyEAuK6ZfLBPDTJ5KFl0bdBrd+BpPtt5kKVZr2mkpV22bEcWSZW1MvB9jY76qxuKoy43bcWSRdL51IV5ViHmDXMjBHLkOM2YReWYFXMjBEL3ne2DMbwXKh2BsmtuO325XE4sV6vVKqrVqnr4xufHgEFE3nMNoXqiHU9bpdhl2XvR2lfS50QjzX5iWrPoWdOm5Wl/6bOW/SH1C4mXtSIL5SGOKp2NUP5jVm5iLoTAcDh0vAPL+/+AqMF3796NX1a1WsXFixdx7ty5OI69r5+29G82m3jsscdUvZuvOUuD5gVIMxaRxkF8ilAKgRCPO91u13FBrXkbLhaLaDQaiclqn5az25BVJhsaSWg6rA3W/TXjG03gsb5r5zcL0x4STxoLTUraZgkuzj8tzFemr/6a4NL6WMI2sJPIFAKk3znwvwD46wB6AJ4B8K3GmB0iugrgaQCfHSf/hDHmO7PKAFxOQPMsxL9xI3mCyZWAZrRTKpXiyzWByMJP3s8HwLn/zeoHpx7yOW1HIS1tSH78bBNOvgmVVpesekxbfxnXx4doOryPyT6qtGncjBZ+FGl9q5g0/uOkEGIs9LMAvl6EfQzAlxlj/iKAzwH4Xuu3Z4wxT4z/BQmAHJMjJ74eHMz7u8oUAka5c8AY8+vGGF4PfgKRM9EcOXI8gDgKTuDbEF1HxngZEf0RgD0AP2CM+W0tERE9CeBJAFhZWVENgDS929adWV2QkrZer2N1ddXhBGz9vFarqVuJWn4atGWcpptJvdjnyETeIgPoerdWN8mdlEolVCqVxJ11mptzX/u1fewsaMtdn1oVsmWqqTSh+rqs76T5HTfsfpdqHkM7kMTcURYJ7eNcfJhJCBDR9wMYAPj5cdBtAJeNMZtE9BUA/hURvcoYsyfTGuvegUuXLhlp8MJ31ltlYTgcotPpxOG8AyAn1oULF3DxonvpkdYxmqvnkMEhJw+TdD631vazTFsulx1jJGMin/J2nUulkkPwdDodh1SV/VIqlbxXjknIAcQXqsq+87nwkoY3PuJRG/QaB2IjVC/v9XpeY6aQ/I4SGlkohYDv3kV5apC9XNuer338knwXMxGDPhDROxERhm8y45oYY7oAuuO//4CIngHwJQA+lZGXwwyHMMs+0kbeJwjoPuE0SzhOE/rVkWk1okhODAmfbzvZJ1o/cVtsyC1Hn7XYtOy73TYZJ4QYnDatVq4Mm4YYPG5odZkGx0UiTnWKkIi+HsB/D+BvGGNaVvg6ERXHfz+K6FLSZ4+iojly5DgehGwRancOfC+AKoCPjaUcbwW+AcA/JKI+gBGA7zTGyItMc+TIMUfIFAJGv3PgfZ64Hwbw4WkqIpfmg8HAORhERKjX6/GSuF6vo1qteglEGSaXU77TiNoSNks/9ZFvUq1hXc3Or91uY3d319GJbY9EPl262+06fcf8SVo704hB2S7fDU8yPyDpETqtz7XwLFLRLictTONdNJfgPvh4DBmWxWH4xqHNRXEcn5Wqdq2bdtDKxmAwQKfTSfSL5kWLMRcWg8YYZyD3ej0cHBwkwqrVKs6ePYtarQYgYvjr9bpj0eYzNJJIO5Ks1TEtLVvWaZ6FJPMtB+3h4SHu3Lnj1Nk+9QhE/uTlhOz1eurpQpsYkq7a7Tb5yDL+n9sl02quriRCd1+4vmlxfGFauObCLY3jSWtHGvkWIgR8gsEWAj5iMGt3ANAJ2sFg4OwYyWcbcyEEJLjzNGleKBRilpu/vLMQL1lk0SRfJC1cEwIyHh8lllaTcnLLQRE6QLPqnAXZhlnIvaMg7o6CGJSM/VHjuEi80PfKRHJIfXL3YjlynHLM5UqAiLCwsICXv/zlifBKpYLz58/He+p8lVhonvYXjb+WIRKbyPUf4NPFNEMVWyI/99xzuHv3biJeu93G3t6ec1JxZWUlkXYwGKjOR2QfVKtVLC4uxnUul8tYWFhw7ARCVhFZur1sq1y++rgU7Uuc9S5CVl/Mw4S8V7nazFILQvKTz9rpWGnwoy3f+XZsaSdgvwufbUq323VsTLRxw5gLIaANlFqthsuXLyfCS6USVlZWEnqxb3mk5SmvFwvhDThtCH+gnSKUA/fmzZv4/Oc/73jvkS+8WCxicXExkV7zQFMsFp175qrVKhYWFmKuhOPY3IlPCHIbppmQPnfgNkLISF/+oWHSc5Gvbpw+hJDMgi9dFk/A/aHdRahxAjI/zVNVr9dzjIOOzWLwKKGx7ZIE4+PAPJh5IofoSVIXPw7uwPdllV9zeSRYs1yUEj+tzj4eggeHdkutVjdOq4VnlTsJJxAS5mtbVtgsnMBR6vGz5jVJ+lk5jZwTyJHjlCMXAjlynHLMhTrQ7/dx48aNRNjy8jLW19cTYeVyGc1m0zGcCSGtOJ7UuyV82y3T7GMz6WMv9ZvNJi5evJi4JopP/dnpi8UiHn300USYZodgb5kyyuUylpaW4riaKuAj0HyOW0P6WMbRdH8uU+rFWnoJbXtV42Bku7T8NdsEjqPp7Frb5IlWSb4ZYxwjHQ7juMYYtFotxyZmOBw6Dm6MMYktce29AhExKA3t0jAXQmA4HCZcjrNealvMAbrVl48PCDGM0YSANrhDjY80SDKvWq1iaWkpUZdarYZms5moc6FQwPr6euZer+b+i08N2tZ5aUy9DNMmgRYvK612CIxtPTShGrpTM2k632TRxkioLu4TFjKOxvXYHBCTgiHEoKy3r10a0ZhGbM+FEAjp0GkQYiyRRUjNQtCkCSjtIkzf5ZhpZJ3vtKWsT4jRDoeHGvJMQwz66pMWV/4uy53UkMkOOy4cBTE4CRE8S31yTiBHjlOOXAjkyHHKMRfqwHA4xNbWvRPHRIR+v4/r168n4jWbTayursZEGBsAhZBUmgfiUAuxUGMhbZlWrVYTxN3DDz+Mc+fOJZaxPrXBJneICI1GQ/UOpJGFkj/Rlpez7C/7bBNs+Ja00/IrvnK1dyXDpNrgIwY1D0faYal+v59oR6/XU0lASfgZY9DtdhPEYLvddox7NPdi5XIZtVpN5bKyMPecwGg0cthMYwxeeumlRBjf9Wf7ziuXy+opQjkA5SDVSBsOD9GJtQnlmxh2XLkLAEQDSnN1rp0OtAcA56+dXLRPEaZZs4Xo4UdJvoXm5ytjWkyrN/t2R2SYRlprhLLcMfLdOaGFAe7HbBLC14fMzxsRvZ+I7hDRZ6ywHySim0T01Pjfm63fvpeIrhPRZ4nor2blPwnSiJK0SSi/AFkDImTHwc7bF54WNyvMh9D8jxqh9Z2ln7LK9YVN8x6OG8dJPB71+w9ZCfwsgH8K4IMi/CeMMT8qKvelAN4G4FUAHgLwG0T0JcaYzPXfJGacx83samXcjzLnAaF9ri3D09IfJXxf7EnjnGTaoxxfs/Z5iGeh3yKiq4H5vQXAh0zkcPTzRHQdwFcB+A8ZZSRsAogizzgbGxuJeL1eDzs7O7FezKqAPEWnneaT8ElNnx6bteRiXVRTG7TJYoPvRZTppI7pM27StgilswmtXdo+tFzC+mwk7NucZNl2mdrvxWJR1dmzTvRp6kvIUj0tP3s5zfvrcpkvfT0AkcMXW11rt9uOSjsajRxP0MYY9Ho9x7OQrB9fL2e3t1wuo9FoxOrvaDTC3t6e834ajYYzntIwCyfwbiL6FkSehL/bGLMN4GFEl5EwbozDHJB170ClUnH0X26gjWKxiFarFU8O1qc0D7wh0AZxiDGSL62ckKF77Jr3Hs1WItQdGk8021jIN1GyXHP73HLN8vVJU92y8s7iMSYVCpIElHG5P2QfSAMfecyb89GsCO2PlO+jI98hgPjwHAsB34dOI8vT7G6m3SL8aQDXADyB6K6BH5s0A2PMe40xrzHGvEa7eCNHjhz3B1MJAWPMhjFmaIwZAfgZREt+ALgJ4JIV9ZFxWI4cOeYUU6kDRHTRGHN7/PhNAHjn4CMA/iUR/TgiYvAxAL8XkmcIySSXa7Mu/X3xNH01JJ22xNXq6YsXgpB+0nRs37Jfc3Bp66iayqCVaZc7aTt8Yb5+m4XIm6ZuITxRKJekqRz3A2ljbNp7B95IRE8AMACeA/AdAGCM+RMi+iUAf4roerJ3he4MaAdK5CGIfr+fIGC0gxKsSyntSPxvjAnWsbXBqHWqz+VWVpjvBiIZT3ql5X6TfTAajRLupfhEmq1Dsr4q9cp2u51Iy67JJB555BHHPiNNz5d1lvXVbojKEp4+TDvBjHE9/45GI6fvgMiFt23gwycBpWDY3t52ypE6OzvLsVEqlRzytVwuo1KpJDgBbcxpBkUzeRYyE9w7MI7/jwH846x8lXSJZ42VHgwGscEQcM8yTps8PquqLPLJPrSTBt/vIRNBxuP6pgkBbbfAR+71+/2Ez8LBYIB2u50QFsxSy7T7+/sJIVCtVrG8vOy04fz580Ft1dyLZX1ps76qWcRgSJgvrSxbc/MNuN6gfMSgdgegZjCmWX1KopkPi3FcX3+wUAkVmvnZgRw5TjlyIZAjxynHXJwdAMKJIntp5nN2EbJU95FYoaaXIbq+L7+QZbRmc8A6qx2muavma6hs+3RN8Cw4vQAAHHFJREFU/9eWuVwu902xWHQOLfnaOgnZl7VET3s/05YbQjRL9SqNQJVGVRrX4WubtBPR1CjNCEwzF87Kn8N8mAsh4HtBctAOh0N0Op2YGGTLQtlATR9Kc74RgiwdjgdLFomYZqko00lCbmtrK2FANRqNsLW1hWeeecbJyz6lxlaVNvnE9dDa1Wg04vBms4mHHnooqI8lj0MUdr2YTyCECFqNE8ny5mPHs129s14vPUG3223H6Gd/fx/dbjdO22630W63nbb4rDnZkzYRxacDZTo5xti9nB2uCWjNDV0a5kIIaNAmFLPcTLZUKhWHGAT068k0Bh7I3gnwxdNOLmpHTuUXXe5ScFrtq2EPFP7q2+bVLAQ+//nPp9a5UqlgdXXVESrlctkZLNVqNUFc1et1LC0tZR6l1r6isu0cL2S1lfZ72jtL++LLL7wUDPxsx2P3cNpdmfYKrN/vO8Srrx1ygvNOgGyjb8VgjyGtj7W0aSuvnBPIkeOUY25XAoCfE2CJyxJas8+WXzheBWTxAiHbeT5Mk19IXj79fDQaxYeo5BfD/prztWRyyVkul52viFwJ1Gq14Pr67AI0pH2ZfHyAlnYSg6KQcxLa6oCvBLMhx512szCgqwMaB6A5wdVWs3IloF3DzipD6EpgroWApuu12+3EMnl/f985aKRNjHK5jGq1muhAbYmrTQxfXBlHiydfZCjxCMDZY67X64lndsaysrKSCK/Varhw4ULitOXS0lKi37S6cVrbSIUHWijkwNOMVKSqx/1m9512wlGbyNwOG1It43Sa3Yk9kdk7kDwYtL+/77yLvb29hD2Fj2RtNBpOfe0xxv2lTWTNWMhW4VjYa4JcqqtzfxchEPZ1ZOstfiGdTicmZGwMh0P1qKtmqRW6k2CfyLP/D2mHtpLIEgyaDlsulxOCYDgcYmFhwdH16/U61tfX4+OkpVIJzWbTOV6qlcvu0Di83+87RkoapJGWb8L6wmUfa/3o87ZjtyNt5aEJBk3/14yApBDQ7vvToI0xjaTW6q15oJb9JI9lc5my3OM4RZgjR44vEuRCIEeOU465UQckfMt0W7fjLUOpDmhLTt6ftZfj2hJJ6lJA0iaASSvfsjTLcIWXumnklpYX7yfLJd7i4iIuXLiQSFupVBy9PvRWGjYU4rQ+wssHWWfNnkLzBiyv1/It/bXyZLwQ4x4O0zgBO4wNr6RBlrzCPW2rTsK39SfjyLbxGOYxqt0+BUB1vpuGuRUCgC4I+v1+4gDR7u6us8e6sLCQIAEBxBMgywuRz0IuxPGJT7fP2sdOGyw2pO7PPIHN+hNFpy8PDg7iicBhmqciWcZwOJzKpbUGFlwSIZM7lDwFXNJLtpVtLGQ8nvRcn1arhb29vcSE9xGD8mSh5s0nTQBIXV/zGM11t8MqlUpM8I5GI9RqNUe4Szf3HNeHB04I2FKeTWblSkAj38rlMvr9foK40gYjH8+ULHcW8aTV17cqmNZcWbssVPsadDodh+XWvqycXkIaYGnCwgdJeIbc9eAzLQ4p00f4hYbZuxB8SlWuBKQhEJBuEiz/1r7yITtGGkEqBYaPGNR2pXzIOYEcOU45ciGQI8cpR4hnofcD+GsA7hhjvmwc9osAXjGOsgJgxxjzBBFdBfA0gM+Of/uEMeY7QyoSukzkJdu4Hmi3285VT4C7pGVdXxppyGW/dlhkNBo5h28maYMdPonHHK39Mq7NkTDYfsI+RKSRTJpRiTygou05p9VZqhEhV8SF8iS+MuVSXTMW0gjkbreb8AbUarVweHiY0P99FoMauadxAiHEpXZFHnM9dhmlUikmwzkfjbgtlUpH7nL8ZyEuHzHG/Ff8NxH9GADbufozxpgngmvggdZ5fIqQ0e/3USgUHGOWTqeDer2eYNj5dBi/KL7CTGI0GjkvZHFx0ZkYGkkXop/6LMs0HVOy2dqE6vV6jhBst9vY2dmJBy4PZHm4Z2VlxRksvLPAYEtLiTRDK7u+GkvtM9+VTLt8/+xJSkJzQyffQ6fTweHhYSIe9xPn2W63sbe3lxACbKAmy61UKokx4RMCWn3tHS7uQ9lPlUoFtVrNOXxmH2Zii0xNCEgBkvauZrp8hKKc3wrgP83K56hgNzrNmktup7E05xcnt6XsePJ4smSbQ0g8H9JWPHJVon1BZBzfdpg9WFgI2EKlUChgMBioLLJdjo+kC+kDbdvMZw0o26WV6auHtOLUVl+yn3gC2asGzWJQ83+o1cdHAmrtDV31SBJQa5evTveTGPxaABvGmD+3wl5GRH9ERL9JRF/rS0hETxLRp4joU1KS58gxDaYVzKcds24Rvh3AL1jPtwFcNsZsEtFXAPhXRPQqY8yeTGiMeS+A9wJAvV43oc4nbAMPY4yqE/d6vXgvlcFbibY6oEnSXq/nPVjE9dJObmlLf8Dd1gtxPML5aZ6UJTT1pVwuo9lsxv00GAziLz/Dd6NzrVZLLCVtBxiyXSGrA02l01QTmVZb4dh8kJ2f7CfbqxLndXh4iL29vUR9Op1OghPgK8M1vwA+yNWHZgRlg20n7PFkPzP43Uh1QL7rSqXi1LFcLgfzTsAMQoCISgD+JoCv4DAT3UHYHf/9B0T0DIAvQXRVWSpChYA9CPr9PogoQdpwp2p7/TwZgGgSSIMijich750rlUpYWlpy0skJXigU1IM7PjsBCe3kl/ZytYNBq6ur8UTo9/uxJxy7brVazUm7uLiIZrOZWN5qQlEzbpHLV7a2s8G8jlRNbB3b3sO3oZF7miXk4eGh4/l3d3cXW1tbiXidTifhlVlzzc71y9rHT7P/kM82z8LvTwpaTQhIcpvrptXL/l+rh41ZVgL/GYA/M8bcsApaB7BljBkS0aOILh95doYyEpDS1mcEEsLIcpjsHB9Bp5mcyrppYdqKwdc2TS/OSge4L1g7lisns/b15XCZ3hcvrVyf7s+/ae8sC1o8305DCCcg9f0Q3T+rflnchsYhpPWv7/0wfFafIf0Z55EVgaLLR/4DgFcQ0Q0i+vbxT29DUhUAgDcA+DQRPQXg/wbwncaYLeTIkWNuMe3lIzDGvFMJ+zCAD89erRw5ctwvzMXZAW3ZbG/92PFsYrBYLMa8gI1ut+voWKw7clzew5ZpNcJLLiX54FIWSqUS+v0+ms1majzfdmXobc0aT7CwsBDXmff+bd2ZiJy9biA6fGL3gY8T8NVDukTXPC1ppwjtJSxzPxonIG0AhsNh7FmKw3d2dhLckTEGe3t7jgcqJpWlDi2X76HGUj79X4bZthjMh0huxscJyHem1U2zHUg7FDY3QkDbJtT0+m63mzgROBqNHAKtVCqp+n4IpGEQ4Fp0jUYjh/CyCUlGpVLBlStXcPbs2UQ8CZ+32fX19UR8bTJq+RWLxQRxqen5aYYm8ui075CR9n5saEJAs47j929PRvs9M7rdrtPv/X4fm5ubibCXXnrJEQIHBweO4Lat77itclKFeqnWoAkBOemZoJX+H313EbKQ9tUXgGPrwOX4MBdCYJ7ApJKPpPMRj/Zvvmc7L5m/j0iT4ZMItizyKS2/tEHva4Osd5phUFraScJC08n3koZJ+mnatKFCJSvtpO9VQ36AKMepwzQrRBuTMO8PAuZmJaDtaaZtp2WlTUs/SX18ddH08LQVgqxfaDwZHpKXDA8tMw3Tfq1D3+FRh83SVg2TtOO4EfJeJ8FcCgHtGbjHCUirP9a7ePnJnICNEF/vAOL0Mq0dxq7PJaR+Vq1WsbS0lNCBNcJLs8qTdwcAcK4S47poRkVSr9VuG/J5vQ1RP3wHYzRbjKw4xhjnbIN0igJERkCtVisxNvr9Pra3txPx5CEgzk+z48iCZv8BuDq21pe+Q0U2L+LT67XrxaXHa0C3ddF4l+MyFjoyhO4ODIdDtFqthNsszfR1f3/fIVUk0aIRigCwvLysdr5tzcb1sCeMtgqoVCro9/sJQmpra8sZyOVyGQsLC4kybb/zHH7mzJmEy3FjoqPPkvCSA7dYLKJerydIKiLC0tKSw0pz29PapU0M2/iGn+3/GUwASobf9u3HRJ58P7u7uw7D3+v1sLGxkajHzs6OY/orx9gkKyBtnMiLQJjJ1/R1bbeBx6wUCgyOI4227LprxCvXZZLLR3JOYAbMqlvmyDEPmIuVgA9ZTG+Wvj6LnhjK8ofW2deGrHRyRTRL/pPUI4RNn0U31/IP7fOseL56hPAwk+r+sk7T6uch5cr6ZX2EQusy10JA0ydt3bFQKKjecbmz7E7iAym24ND02m636yx15ZJOsxPgPOXz4eFhQt/f39/H4eFhIm6lUkGv13PUgbt37yZcgC8sLDh7/exFyAZzFty+UqmEhYWFhNrEy0Wpd2u6qDaYtBuYpb6vHQLiQ0V2vH6/j8PDw/iAkzEG29vbiQNPxkQGP/v7+w4nINuv8S4+Zy42tDHBYZpqaofVajWVh7JtRDSwcNL6MkSgaluEk65Q50YIaC9EcyV9cHDgWL5JvaherzueVeTg9hEyo9EoodvJl8R/y+PLWjvYR7wtMDROgN1BSR6CeQIO104jHh4eOsRYt9vFSy+9FE8E9oRkcwLFYhG9Xs85DcnEqE1CaYNRtl/rJ4207Pf7aLVaiUna6/Wwvb0d95MxBrdu3UKr1Uqk3d3dxf7+fiJMCmSum7Za0CaR9q5lu7QDOfJk6cLCgirIAf0AkSxDK5fHot1WWV+fMZf8CKbhgeEEpl1m5ciRIx0PjBDISbgcOY4Hc6MOaMgiSyYxtfTlGUoMyu0ln36mLUO1tCEkmCSbpF8Dn76qkVWyHmxjoW31aeqPhpA6a7yObAc/22oen2vIWtaHkIw+hBrb+Exz08YIp9N4ArvOkxjGTWIE5kurYW6EgFZJSVppA8Pn9UXjGKQ3G63ztFOJcoBqfIVWFybubEKObweyy7ZdTdl57e3tJcJsPd9uk+ZerdfrxXVm3dSuR6FQSHgkZjSbTTSbzcwrxqXezXElaWfr+Zxue3vbuQPw7t27CQ5gc3PT6ad2u+2EafyEpsNrno99E9dGsVhEtVp19G72XmQLO2mgVCwWsb297bxX26OTJig4P40TsI2DOK1m8DUJQu4duITI3fh5AAbAe40xP0lEawB+EcBVAM8BeKsxZpuiGv4kgDcDaAF4pzHmD7PKkaw3TyAb0j8dk3uapZZ2SEX62NOIQW2Q2R6NfV84Nlyy68Juvexy9/b2HDabj/lKAunOnTvx30A0qDiMUa1Wsbi4mAhjf4q2W2vb0pLDjDEO2bi8vIyVlZV4wvgY83a7rX6B7WfNHfrBwQFefPHFxMTtdDrY2NiIXYIbE7kDy7pjkONqJ1Dle5Wu1LldGsls91OpVMLy8rLTT9wGbrdtxMbgHR77i80nPBuNRlxmqVTyEoOyTbbbfJ+purZSThMMIZzAAMB3G2O+FMBrAbyLiL4UwHsAfNwY8xiAj4+fAeAbELkVewzAkwB+OqCMHDm+6DGvvFamEDDG3OYvuTFmH9ENQw8DeAuAD4yjfQDAN47/fguAD5oInwCwQkQXj7zmOXLkOBJMxAkQ0VUAXw7gkwDOG2Nuj396EZG6AEQC4gUr2Y1x2G0rDET0JKKVgnqzKjD7tmAWgaTl7yPaQhyGpu33ynQhddFINrn05auptDbYeWpcymAwcAytWPXxXWxh5+czrLHzkvp6t9uN/9lhtqtvzkfL37f0teE7kKPtp2sOVbPIXY5r80q+caPxBHb7fQfeNBJ0Uhw5MUhETUT+A7/LGLMn9A1DRBPV1lj3DlSrVSMnCp8YFGm4LgDundLSdN0sizFOJzun2+06h2A0f/ca8aSRjXxVGkNzkcW6nuQEZPu3t7cT5BkRoVarqVZ5dju4/TaIIlft0vPNrVu3ANwjEyuVChYXF51+2t/fd/JkQpIHb6vVShzuASJCbWNjI9E25k44LYdlCSKG9IRkE5scxoZb/AxEHJPdfu1OBOmWjlEul1Gv1+O4Gmk5HA7xwgsvJNKx0RrzQoVCAevr64mDYXZcaXxmc13Ma2memuQ4nFkIEFEZkQD4eWPMr4yDN4joojHm9ni5z4zVTQCXrOSPjMNSobHemmmuLdG5EzTWV7446XJJIw8Bl+DhumgXUtrQ6qJ9CXiiyLQ24cPg9nNZW1tbzgtngsmG3PrTBje3VZZZrVbR6/Xicph0lMStNN81Jjr5x0JqNBphb28Pzz//fCJ/FgLyvj9ZP+39aGFMyNphi4uL6tFseaXXaJS8aJZdmsl2aUKA7/tj2LsxjOFwiNu3Ewvg+Ig4C0EWThcvuhqzfU8Gt5Xz4GdNCGi7IzMRg2O2/30AnjbG/Lj100cAvGP89zsA/JoV/i0U4bUAdi21IUeOHHOGkJXA6wF8M4A/pug+AQD4PgA/DOCXKLqH4HlEF5MCwEcRbQ9eR7RF+K0hFdH0MN+SxtaVffqajwPI0sV9+n+IbibjpdVDS2f/pm3vyLrxPrH8AnE8qa/KtFpdWJXgr02pVEKr1UpVm+ww2y5AcxaqOejQ7N81vd7npEOuDNLGhA1tfGXlJ3kVfuaVhsxTM8bq9XrxiqlUKsVXpNlgBzLy5mO7LmzwFbLrMJM6YIz5HQC+HN6kxDcA3pVZq2Qa1SbAd5qPBwIbaITsE2ucgNTDAST21+36ZQkBVhvk5JVqhKYOaEtaInKWodqg1eql2UhoxFW1WnVUqTt37mBraytOX6vVcPPmTXU5LMEnJLnMTqfjHG6SBky+/GR/ALoQ4LJkGZow1gzI7DB26S3rIu8n5DztO/9qtRoajYYj8Hd2dhLpRqMRXnzxRdy9ezcuUzsYdeHCBTz22GMJtaZarTr3GGpqnkaCHgkxeNyQd8eFfOE5jhzwaUy7zCvkCweku2zm/OREk8eXASSuDGfw/QlS/7ONojg/CW1yMxEmV05aHNkuaUVYKpVQr9edflpaWlJ5AlsIDAYD1Q0bt9mGnODafZIaJ6B5iPKtNiRfI98/WxXKd6hNNNbH7fraBkW+1exoNMLu7m7iOLwkijn/S5cuOfWzj84zoSzBq6hQu4QH5gBRjhw5jge5EMiR45RjLtQBH1mWFp/h04uzwnzptLTasio07SxhvFzN6gvt96w9dh+BZv/G0Jac2raZTzXR8k8L0wg6IKw/OF6WIROHZdXN10/MWdl5SC5BO9zD4Qwm+6TaxGShzR81Gg00Go2EvUMW0exrl425EQKSLAP0ivus42xoRkDagNVOAvrucdMGpHyW5COTe3JCycHDYXIiSE81EjwItMFnl8tkqjbRpLGQMUkPtv1+HwcHB057O51OpnCksTFTWhxZH/tZSxfiNlwjXn0Cyn637JrdxmAwiE8M2mDPQpxnuVzG8vJyIs5oNMLOzo5TbqVSSYyTbreLL3zhC4k4zE3ZPMP58+dRq9ViToA5AokQotzG3AgB7WVmMcE+1pvTasy6TZZpuwO+L3QayZaWTrbNZ14qSSr76+ObHL72+4SAJB59/hnt/zXLTSASAln3DGpbf7537RMCkgSU8PWlRLFYVM/2S2isum8lYE82Zu3tcTIajVRrPns1wx8juRLY39/Hzs5OYneg0Wg4x5d9K4HQrUMg5wRy5Dj1yIVAjhynHHOhDviQRQClIXQplLWc9KkBIWpBmgoRQlyGIk0VSYunLXNZjQppb1Z+Pr1+kvc6CWHMZfpsQjQ+QbPy0zgmTW2yy9Ly96kDdh+wyqRdTS/d3x8cHGBrayt+5luqZFpWyx4oYjAUoQPI53LMBhvyZLHZPLCzCCnNMEjLUyMe+ZSi1Inl4SCtXca41pbGmITuyPq/zJ8NVWxIU1XfaT6N+dYs9TSCdhIBZyPUlZyceFw3yW1IwyBfvZrNpvO+uX85fDAYYHd314knvT4ZEx20so8S1+t1J16/38cXvvCFRH4bGxvY2NiITxwuLCzg677u67C6uppIu7q66pDZabtFD5QQ8MH38jRi0EZamC/PSVcnkvCbFSF5SWHpIx7TtpcmrXMWoSrjTdMnaWnTdoNC2+rLXyM4JXGpraoAV3D5tmQ1vw7yg6ERiD6Xa5Mg5wRy5DjlmOuVwCycgC99lv7nW67OUpeQtGlx5Ff9KOqRZWgi04RuxaWVmYWsbVgtT6mbA/o2n5avxmH4OAUJyRNoKiOXkcUxaM5otNUHkFRrCoUCdnd3nfrxQSNZpg8PnBDQ7snT4oW4x9Jemswf8A8CG+xQRNNHbWh1HQ6HKicgwzQrPZ8rbTmwtLZynjb4qncuR+NNAKiGTLZTFU7jK9cGETn9PslhKelARDsYpaWVJzq5L+V7kF6kgeiqO9uQ5+DgIHFFvM0VSNTrdTSbzTgee4e2USgUHG9Dw+EQGxsbcd+USiUMBgPHE/LrXvc6XLt2LdEOGcfG3AiBEP1d08NC0s5an0l+P+q6zMIphH5Zjwv3q1ytj6bhg3x5aZiF4LTrl9ZHWbsrvCPh838ROhYfGE7gKMm1HDly3MMDIwRy5MhxPKCTWiomKkH0EoBDAHdPui4z4Cwe7PoDD34bHvT6A8fbhivGmHUZOBdCAACI6FPGmNecdD2mxYNef+DBb8ODXn/gZNqQqwM5cpxy5EIgR45TjnkSAu896QrMiAe9/sCD34YHvf7ACbRhbjiBHDlynAzmaSWQI0eOE0AuBHLkOOU4cSFARF9PRJ8loutE9J6Trk8oiOg5IvpjInqKiD41Dlsjoo8R0Z+P/1/Nyud+gojeT0R3iOgzVphaZ4rwU+P38mkievXJ1Tyuq1b/HySim+P38BQRvdn67XvH9f8sEf3Vk6n1PRDRJSL6f4noT4noT4jo74zDT/Yd2Get7/c/AEUAzwB4FEAFwH8E8KUnWacJ6v4cgLMi7EcAvGf893sA/M8nXU9RvzcAeDWAz2TVGdF9kv8GAAF4LYBPzmn9fxDA31Xiful4PFUBvGw8zoonXP+LAF49/nsRwOfG9TzRd3DSK4GvAnDdGPOsMaYH4EMA3nLCdZoFbwHwgfHfHwDwjSdYFwfGmN8CsCWCfXV+C4APmgifALBC0RX0JwZP/X14C4APGWO6xpjPI7og96uOrXIBMMbcNsb84fjvfQBPA3gYJ/wOTloIPAzgBev5xjjsQYAB8OtE9AdE9OQ47Ly5dw37iwDOn0zVJoKvzg/Su3n3eLn8fksFm+v6E9FVAF8O4JM44Xdw0kLgQcbXGGNeDeAbALyLiN5g/2ii9dwDtf/6INYZwE8DuAbgCQC3AfzYyVYnG0TUBPBhAN9ljEncSX4S7+CkhcBNAJes50fGYXMPY8zN8f93APwqoqXmBi/Xxv/fObkaBsNX5wfi3RhjNowxQ2PMCMDP4N6Sfy7rT0RlRALg540xvzIOPtF3cNJC4PcBPEZELyOiCoC3AfjICdcpE0TUIKJF/hvA1wH4DKK6v2Mc7R0Afu1kajgRfHX+CIBvGTPUrwWway1Z5wZCR/4mRO8BiOr/NiKqEtHLADwG4Pfud/1sUOQU430AnjbG/Lj108m+g5NkSy0G9HOI2NvvP+n6BNb5UUTM838E8CdcbwBnAHwcwJ8D+A0AayddV1HvX0C0ZO4j0i+/3VdnRIz0/z5+L38M4DVzWv+fG9fv0+NJc9GK//3j+n8WwDfMQf2/BtFS/9MAnhr/e/NJv4PcbDhHjlOOk1YHcuTIccLIhUCOHKccuRDIkeOUIxcCOXKccuRCIEeOU45cCOTIccqRC4EcOU45/n+bnYsNSnmAlwAAAABJRU5ErkJggg==\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
-      ],
-      "source": [
-        "t_img , label = train_data.next()\n",
-        "\n",
-        "def plotImages(img_arr, label):\n",
-        "  count = 0\n",
-        "  for im, l in zip(img_arr,label) :\n",
-        "    plt.imshow(im)\n",
-        "    plt.title(im.shape)\n",
-        "    plt.axis = False\n",
-        "    plt.show()\n",
-        "    \n",
-        "    count += 1\n",
-        "    if count == 10:\n",
-        "      break\n",
-        "\n",
-        "#-----------------------------------------------------------------------------\n",
-        "# function call to plot the images \n",
-        "plotImages(t_img, label)\n"
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "markdown",
-      "source": [
-        "#**Using MobileNet for its pre-trained weights**\n"
-      ],
-      "metadata": {
-        "id": "N5JOFZkP6cET"
-      }
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "code",
-      "execution_count": 13,
-      "metadata": {
-        "id": "1OeNB5eR9wgh"
-      },
-      "outputs": [],
-      "source": [
-        "base_model = MobileNet( input_shape=(224,224,3), include_top= False )\n",
-        "\n",
-        "for layer in base_model.layers:\n",
-        "  layer.trainable = False\n",
-        "\n",
-        "x = Flatten()(base_model.output)\n",
-        "x = Dense(units=7 , activation='softmax' )(x)\n",
-        "\n"
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "markdown",
-      "source": [
-        "# **Creating our model.**\n"
-      ],
-      "metadata": {
-        "id": "bPW8bM8P7Llo"
-      }
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "code",
-      "execution_count": 14,
-      "metadata": {
-        "id": "bO4oE16l9ypB"
-      },
-      "outputs": [],
-      "source": [
-        "model = Model(base_model.input, x)\n",
-        "model.compile(optimizer='adam', loss= categorical_crossentropy , metrics=['accuracy']  )"
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "markdown",
-      "source": [
-        "#**Training the model**"
-      ],
-      "metadata": {
-        "id": "GWeObdWE770n"
-      }
+     "data": {
+      "image/png": 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Ajh07YqW5c+dOCIKATRMAYHl5OX5hZ4Bdu3ZNvZy7du2C//t//2/ke7PZhG63mzjNTqcDrVYLKpVKpKyPetSjEqUJsNH3+gIJ09zMPlpaWoIXvOAF8IIXvAAAAG6//Xa48MIL4eqrr4bLLrtsbAyadwrFYhEANo54ATbo8U94whOgVCrBW97yFjj77LOhUqnAXXfdBZdccsnod4hcLhdJU5+nABvUY6VUpJ0QD3nIQxLVu91us2kiPvrRj8IVV1wBl19+OamIEWEYwjOf+Uz4p3/6J/jCF74Aj33sY8fCr776asjn83DllVeOqM5Im2+1WrC6ugpLS0uJFxzHjh2Diy66CO655x649dZbxTb58pe/DJdccglcdNFFcN11143l+fOf/xxe//rXw9ve9jYoFAqjsvb7fRgOh7C6ugrFYhHK5XKicu7bt2/Uv095ylNg586d8NrXvhZe+tKXwiMf+cix35ZKpch4sWHqiufjH/84PPjBD4ZPfepTYw0VhiH5+0OHDrHfcKDv3r0bzj33XPbybP/+/ZMWW8SZZ54J5XIZvvvd70bCvvvd78JZZ50FpVIpVppoS8ClWS6XE0/UaePhD384fOITn4B+vz92xotlT7IyfPjDHw6f/OQn4dChQ2OLj0nTxDR0gXLo0CE4cuTIxGk+9KEPHX3v9/vwgx/8YKQEtgIPe9jD4PnPfz68+93vhh/+8Iejy2oX3HrrrXDvvffCbbfdNtrlAEDErgTR7/fh6NGjY8qHmqdBEMDXvva1kaLTQX1zwe7du8lLdcRHP/pRuPTSS+ElL3kJfOADH2CVQhiGcPHFF8PBgwfh7/7u7+CCCy6I/OZ73/se/OxnPyMXxC95yUsAYEN5xF1oYrwLL7wQfvrTn8Itt9xC3u8ivvzlL8PFF18M559/PnzmM5+BQqEwFv6Tn/wE2u02vPKVr4RXvvKVkfg7d+6EV77ylVPbDeHY+uEPfxhRPCsrK7Hv0Kd+1BYEARQKhbHOP3ToEMtqu+WWW8YuHQeDAXzqU5+CM888E0455RQAAHjGM54B3/ve9+DMM8+ERz/60ZE/s1Y8uVwOfuM3fgNuvPFGqNfro+8///nP4eDBg3DJJZckSveZz3wm3HrrrWOslnq9DjfeeCP85m/+ZuQib6vwzGc+ExqNBnzmM58Z+/6xj30M9u/fH1k1uuC3fuu3IAgC+NjHPjb2/dprr4VyuQxPfepTY6f51Kc+FUqlUsRgFo0qkxi7Pfaxj4WTTz45kuanP/1paDQaifs+Do4ePQrdbpcM+8EPfgAA8RdfOD9NZfDBD36QjXPdddeN/f/6668HgI0LZoCNeaqUgnvuuYecpybpwxUHDhxgiTbXXnstXHrppfDCF74QPvShD4lKB+fbZz7zGfi1X/s18nfvfve74eDBg2N//uf//J8AsGFgfvDgwUSX+Kh0fvKTn8BXvvKViPDW8ZWvfAUuvvhiePzjHw833XQTqbDPO++8SDkPHjwIj3jEI+CMM86AgwcPTpUYgcepZ5111tj3fr8Pd91119iizAlxLoTw4vLtb3+7uuGGGyJ/ms2m+shHPqIAQL385S9Xt9xyi7r22mvVmWeeqX7hF34hcnEPAOrUU09VD33oQ9UnPvEJ9bnPfU499alPVQCgPvnJT45+d++996rTTz9dHThwQL3//e9Xt9xyi/riF7+o/vzP/1z9+q//urrrrrvG0pw2uUCpDcOqWq2mnvjEJ6qbb75Z3XjjjeoXf/EXSQPSbDarnvzkJ1vzO3z4sDr55JPVwx/+cPXZz35W3XzzzeqJT3yiWlhYUN///vcT1UEpNeqPt7/97SNbKfym48lPfrLKZrNOaV500UVq586d6i//8i/Vrbfeqi677DIFAOrjH//42O9e+tKXqmw2O2abxAENSN/5zneq2267Tb3uda8jDUjf9KY3qWw2q2677TZrmmhA+rrXvU7ddttt6p3vfKcqFosRA9KPfexjKpvNRgwNKfzN3/yNAgB1+eWXq4MHD6q//Mu/VDt27IjYL0gX5hS5AL+95CUvEfO/4YYb1P79+9VrXvMa9dnPflb94z/+o/r0pz+tnvWsZykAUC9+8YtHv+UIQHhBfvDgQaXUhs3Tzp071SMe8Qh14403qs9//vPq+c9//mie6oSUl7zkJapQKKjTTjttZNj4xje+UeVyOfW0pz1tLJ/LL79cVSoV9ZrXvEZ9/vOfV7feequ67rrr1Mtf/nL1/ve/36mtTPz1X/+1AgD1//7f/xv7/rd/+7cqk8mo//yf/7P6+te/rr7xjW+M/dFtTp7xjGcoAFBXX3115Hc2+y6JXAAA6vzzzxfjt1ot9Uu/9EsqCAL1nve8J5L/HXfcMfrt1772NVUul9UZZ5yhbr311shvdTtCChy5AGUb9j+H17/+9eqKK64YGdredNNN6vd///dVNptVz3nOcyK///a3v60AQH3uc58T0zWRSPFwf376058qpZR629veps444wxVLBbVOeeco/7qr/6KFOooFN///verM888U+XzeXXgwAHSGv6BBx5QV111lXrwgx+s8vm8Wl5eVo961KPU1VdfrRqNxliapuI5/fTT1emnn26tn6R4lFLqW9/6lrrgggtUpVJRi4uL6uKLLx4bNHoZbIMRcccdd6iLL75YLS4uqkqloi644AL17W9/O/I71zpg/twfHeeff75YXx31el1dddVVat++fapQKKhzzz2XZPkhAwrHgoRut6ve8IY3qNNOO00VCgV19tlnq/e+972R37lOGsR73vMedfbZZ4+E5Rve8AbV7XbHfoNj2ZXxd/3116tzzz1XFQoFtW/fPnXVVVdF2FAooCgDZkrxfPe731UAoF772teKed91113qj/7oj9TjHvc4tW/fPpXL5dTCwoJ67GMfq973vveNGfC6Kh6llPrnf/5n9cu//MuqUqmoPXv2qEsvvVR95zvfIRVPtVpV//7v/66e9KQnqXK5rJaXl9XLX/7ysbmH+MhHPqIe+9jHqmq1qsrlsjrzzDPVi1/8YvWtb33Lqa1MrK2tqVqtpt7xjneMfcexZpNHSslzwjZXOcVTr9cVAEQMW01g33N/9IUHjnXuj20OcIrn1a9+tQqCILKgNfG5z31OXXjhheqkk05SuVxO1Wo19ZjHPEa9973vVb1eL/L7//E//ofavXs3adgqIZbi2e7ATu/1eoms8T08KPR6PXXHHXdEFM+f//mfq2q1KrpsSQNQ8WwlrrzySnXOOeeQVv1bhS9+8YsqCAL17//+71tdFCt+6Zd+ST372c+eapr9fl+dccYZ6nWve13suN47NYF8Pg9LS0tbXQyPbYDV1VXI5/ORs3GAjXPzq666ysrY8thwgHnPPfdE7hm3EgcPHoTnP//5ie+uNgvr6+vwb//2b/DmN795qul+/OMfh0ajAa95zWtix03H7XVKcPnll8MznvEMAICIawgPjyRYWFiAb37zm6P/n3rqqaN/33DDDVtRpLnESSedBNdddx0cO3Zsq4sygkTbThMWFxdZVvEkGA6HcN111yVi+AVKKTX1Enl4eHh4eDDwR20eHh4eHpsKr3g8PDw8PDYVXvF4eHh4eGwqZkYuMF1OKKVE/0YYrjYo3onyDIJg5M+NyyubzY6FKaVgOBzCYDBg378555xzYO/evXDWWWeRDv1OPfVU2L9/PywuLo6REvr9PnzrW9+CVqsFw+EwUtZcLgennnoqyaBDDxCcvyWsA1XPMAzhgQcegF6vR9ap1+vB17/+dWi1WqO2xr+Hw2GkrIhcLge5XA6q1SqZLz7vnMlkIuHozYIKw7Sx7czwTCYD+Xw+4n8tCALIZrNQKBRIMgj2rTSmKpUKZLPZSLmy2eyo3c3yYHrcc9pYz0KhEBkvuVxu9K4J1Q6DwYAtr1IKBoNB5KIY+2x1dZV8nmMwGMDq6iqsrq7C4cOHyXQxru6ZA+N2Op1RO1JxuXbANnjIQx4CO3fuHAsrFAqQz+dhcXGRnFPdbhfCMBzlbaLZbMKPf/xj6HQ6kfzDMBSfOsf+4cKw7Gb/YN9RcZVS0Ol0YDAYsPNHCpOgP52eJHwS6E5lp4lN2/HYGiVNnpg9PNIIP0c8tgv8UZuHh8fcYiuVsScEJ4dXPI7wg2wy+PZzw3bc1WzXvt+OfbVZmJni4c6DT0SkZYCeqO3vkZ4xOE1sxzqdKJiZ4qEuZP1A2Vr49vcA8AsQj61HasgFHh4emwM/Fz22Gv6Ox8PjBINJoffw2Gx4xTNj+NWlxzQwTSUh2YBNkp6HhytS553aNO5MCjMupjscDsk8MpkM+dR0EAQjI85qtUoaj6FxpGkchv+njLtcjL6436CBIdc+g8EAer0ehGHIGpCiMZtZ5kkFHFcnNLzjDPcwTDJMpfoU24EzzLPVRzd6Nb/rf3NxqfT1NjDD9X7jysa1AQCQbYj5oYEvFTefz7PGyEopaDab0Ov1yPKigTXXxpxxKQCMDF5brdbY936/P2Y0bKLf70Ov14Nut0vm2+/3R/1mpoHjiOsbG7j5itiqnaI0XqQypXFhkErFgxPLbDDdCp0bVPidi2tOrkwmA6VSCarVKiwsLJBpHjhwAE477TR49KMfzVpZ9/t9aLfbY98Hg8FIoZnxcMLgHyrfXC4HhUIBSqVSJL9utwvtdpu16r7zzjuh3W6zluwrKyvQ7XbH2gLzNPPTy+yiPMz6oPJGQUNNhHw+TwpNjE8B+zQMQ1ZYo1cCqswokCmBLdXTxRja9huObCMpYIxXLBYj35RSkMvloNvtknF27twJYRjCaaedRobffvvt8MADD8DRo0fHxkSv14P19XXWCwaOGa79O50O/OhHP4q0JfZLPp8n42azWcjn85DP51lPAZyiXVtbE5Wh1D/Y9tKzKBJjV+p3bjxxabqGDwYDdiylUekApFDxILiBPOlqg1rRYdqccELlQCkQABi525HS5mBzgyHVg1PAuJMZDAYwGAzI8tp2TdOGbQfhsvuLi1nXLcl4nMWOEnfbkjsXXBBQghrDqTbWx4kkcClFinGo3ZL+ey5fnJNcm0kLA27HuRmCWBoX0k5s0hOeeWISz0zxTKPCVENOM31bfvo3nATSqmWStOPEda37JD7vJv3NNOs7DbgoNUkp6pj1OJTStgkYm2JPqvgl6H4W45RZ/5uK4zp+ky7sJkk3SVxqIWobS9NaPKVNAXlygccJD8/u8vDYXKT2qA1guuSCaWGSs1hzdeNaRtc0k4S7xpFW/dRvpJVcnDJLl7ppW8VNG/OoEF36ztwdJRnDW3HZv9X9Ebcd0kCI4OB3PJuEtHX8VmBaStBjvuH71COVOx483+VWytJugbpMRwRBAKVSaSzdTCYDO3bsgN27d8ODHvQgMt7y8jIUi0VoNBrkKvvYsWOwtrZGssyot3gAjlOtpUnIvRPUbDZhfX0dVlZWyHdH2u02HD16FDqdDslyQsZPnLsj/YLZpKRTvzFXW3j5LfWb7TLUDMM7N470gYwrZFBR4Ugc4SjKXDmSCk9X1lQcRhaWR3qXCOnUFGNRKQWnnHIK1Go1KBQKY3k3Gg34j//4D2g0Gux7VdLbNwDAtm8mkxnRoqk0c7kchGFI9l0mk4FisUiSIrLZLJRKJbYNh8MhWxfbXRgHnQwhgXqXi/quh+P84fLloI/TtJ0OpE7x6A0pNSrVwdIjZjgoyuXyWNxsNgvLy8vwoAc9CA4cOEDG3bFjBxSLRajX62QH3n///XDo0CGo1+uR/PXH4fS4+jEDNyhwwJkTu9lswsrKCtxzzz0kXToMQzh69OiI5k2li/kmUT6c4kFwzCopri6AuLQpSjoqHcl+hWNzARx/3MtsC+7fWBfXy2mqfSXKNI5hSfFgXcwxVCwWWeYZtj0XPhgMYNeuXbC8vDwW9sADD8Ddd98N3W6XHGtKbdDZpbkqKXbJdgsXBVQ4zinKHEF/xM8sq1IK+v2+KCco5aMvBrg2xIUVp3y4uYj5UrCxCiVgmkkJUbNE+ko0p0jbisLDw8MjrfCKx8PDwwq/sPKYJrziSTn8RayHh8d2g1c8Hh4eLPxOZ+uxHfsgdeSCtMJmaW3+DkC+oE6Sd9wwl3DXOJs1+NM4ybbKJmyzMWnbJ7WzmtROZ7P7J239No9IneJxoaomcfuBTCLTKSHSbTn2DAKZPxR0T89x3Hy4TEyKSqk7S+XiJIGt/knT0Oua1GULl+60kEaFR2FSNy42mjbnzFbyAzcvSMpE1DFP9QVI77hOneIBsE8QDsjf58Ly+Tzs379/jH6ZzWZh586dsHPnTqhUKmTcwWDA2sQAAKyursL6+jo0m80x5YQ2QhSdVJ/QXJ3QyaeZb6vVgna7DWEYkmVCuqhNMcUV5hjG2aAgbZmyq5E8cQPI3qAxb8qOR1owJLXJAIjnK4zLO2m8adNfXRZz+XweSqUSLCwsjP02DENYXFxkbXWGw+Ho+Q0zD512LtGFue+cPZ8trjTOkM4v2ftNgiSLp2koM2kup1H5zEzxTDJ5uGMtm5vvcrkMe/fuJYVNsViEarUKT3rSk8bcyqOtR7FYZBXPnXfeCaurq3DXXXeRg6Rer0Oz2YzYM+RyOTjllFOgVCqRbvez2axo9NdqtUbGojqazSbU63U4duwYKRD6/T50u132DRXd1sBUQraJg2WmfpfP56FQKIwM+/R4ur0MBeltFm41jt855aM/4yDtxLgycbYeNuhtaR632uy3bMpU2nnb+k5azC0tLUEQBHDSSSeNhS0vL8N9990HKysrkXEIsDHWVldX2XdzcH6ZfYdl4Qw59adROJs9zi6sVCpBuVwm20MpBd1ul7XrwsWeabOk20FJCg/LTEG3M+SO5DkkPeWxneRsFVLnndq1Q2xhcTpKEkCuqxGX30llSppvUqAgmmRlLn1L2ndS+CzS5H4zydGi/n3SozETSY6hkxoe6v9PunOk0tzM4you31nNOdd+1xcgcdNOEp425eNZbQ6YZEXicWJi3u4CZg3fHh46vOLx8PCYOfzCzEOHVzweHh4eHpsKr3g8pgZ/nOLh4eGCVNKpEZxBGrdtz2azrKt0ZFtRVEtkzXBsIZ3NYnNDzv1fYrpQ+SIDhgp3LQ/AdJWBnifHlqPCXdohLiFE/+5yjMMZKUrefycljJhMsiAIRu0iMeZsZJdZGBRzcwsZifiHAjIHuTbm5sWkxB1Xo26qTBzrVqJwx6E+J+mjE2nhljrFY+tcSdDkcjmo1WokhTCfz0OlUoFisQiFQmEsTFI8KERtVEpq8tno30iNpSil+GYI/tGBlE+uPK5KycZM48A9baArSzNNG6NIEgYYLrGtktRFV5BcOyaBXh6OMi2VyUzDDE8qcJMgk8mMFm3UUwO9Xm9kj+aqeFygLwoo6G0Ql4HIPaOhp2vWR2eBnkgKYlaYmeKRHrqSIAlN3UCRwmmnnQbPetazRjsbHTjY9uzZMzbxh8Mh1Ot1OHr0KNx7771kukePHiXtdPS0K5UKlMvliB0P2qdwQuTIkSOwsrISCRsOh9DpdKDVakG9Xh8L6/V6o/dRuN2S7k2BAteGkqDAt4Eoew6AjV1loVCAUqkUseNBQ9p8Pk/GLZVKrH2QBFRYNlozp1iazSZpbCvZyyBsjw5yj5QFAf8QHLYh1z+SHRX3IJ6+eOLsZnK5HKn8q9UqnHPOOayxchiG8P3vfx/y+bz1QTizTDYBPhwOWaNtHIvD4TDSljjmqYVKJpMZ2flQQEPxlZWVsfJhWaiFoCukXbW0A5YUnguFOo3EjtTZ8bikywnHXC4H1WoVisViRMDhZC8UCmOTazAYjISBy46HK5P+N8IUPFSZOSNPfcdjlgvjuFh9u0A6IqTSdtnxSHYbtmOzODYfk9qYcH0rKW38rU3xUEc2aLzLHefgblbaxXHHQdM6djXHbD6fH5WbAudSx+VIies3l7okPQrF40MqTf1FWmrcSjvRWSCuoSmHtCkfTy7w8PDw8NhUeMXj4eHh4bGpmNlR2zS2nknPNG1p6ulKrCYzbdvFYtyjDld2j+1ILW5c6YjG9fLUdhkvHRHMgolnq+ckbZw03yRsLNt41PtHJyLocbk0XcEdMVFwIXfEzX+aiHNUNelR1qxJH5OM8bQRIlLHauOEF8BxgoD5tAEin8+PndHqwN/3er2xuHhJSd2lYBnwUrJYLJIdiHcx1PMF+Ie79JUu8rn7B7xn0VlZZrhtECa5IEUBI12EYh+Z5IJ+vy+yiVwccsYVDPqlrMQQ4y59beSCpIrF1oZ4YU6VOZvNkvUJgoB1OGsrL4Zx4ehskgofDAYj1hu3wOh2u7EFn+1iXHcAK1GjTcHsonzwPthUWjaWKuYxC0hjLek92VZiZoonqWdfFKbUpXs+n4darQaVSoWcYEtLSyO6NCXghsMhrK6uRr7V6/XRswYUgiAgPUwj1tfXoV6vR8qM9cDLYgpIizahlBqxaMx2QAp2r9cTCRHSCrjdbo+lqwtLyfuxpDyKxSKUSiXo9/tj/RMEARSLRbIuiHw+T3ox1vPlvHhLsI1D7B9q0dDr9URCiUTJRXIIpdCkctuIEtTTHxgHiTUUcMFmmhKYZaP6Hsc+1Za5XA6Wl5chCIIIAw3b4ejRo9But8k8OaWBdeKEfS6XG81zisFKEWAkYgYCmbNmO+omDNyYwsWcjZQybZg733lA6hQPTlhKGJRKJdi9ezcsLy+TtNx9+/ZBrVaDfD4fEQr4VMB99903NrmGw+Ho6QFTKSGWlpagWq2OXMebuPPOO6HVao2eIkBks1no9XqQy+XI1ZdSCsIwZJUHltncnXS7XZFObcNwOIRjx46NCUb8u9frQRiGZDwUBNyOs1QqQaVSgYWFhUj7o/IulUpkXFw1c6t5zFeHvkixHVtRQOWOQkVHv99n6fMAG8KtVquxLvv7/X7kfSbsU852C+B433L9ikbSAOOCJpPJwJ49e6BarUbioFJaXFxk36vC8lH5VqtVViF2u1049dRTYWFhgbQ36/V60Gg0oNFoRMqEOwsqXVzgcBTxXC4HlUqFVTxYD4ppqhTN0FNKjfJbWFiI1AXHAnfKgAurWSiepMfPNkW7VfDkAg+PlCFtQsLDY9rYdoonycpg0onuBYXHiQ4/BzziYO4UT5ovzCjMW3k9PDw8Zo25UzxphV/xeXjMB/xicOuROjq1iwB3tddJEjZJunExqR2PDUntcWaNOPWdVzuFrYLNrsjWTjZ3SdsF26ku84jUOQnV45qDo1arQbVaHbFZTBQKhZG9iBkXmUSmkz+cjBRNVS8P2qJw9iDIwtHDkSFDMYJ0aqfNHsQEsrwk+wXJ67LtWQUX2wmuXJIhoQSXtojbTi7gDCCRVkulr9PKpfpS9HCMy5UbmXtcGyOtnGJrIYuMitPr9UZ/uHSRZRYHSqkRFZ5KEwBI5hmA7JEcxxllkwcw7h/ODMf24dhykh0VxwKTDGUxXP+bg2mgrcfj5qJujyblPU+YmeLhbBxsQPsI6t2cpaUlWFxcJOm6ADCyIQGITtzBYADdbndkLIrAgYYORrm6ZDIZ0egS7Qr0Ac0pHRMcFZhzBIpp5nK5xHY8lHEq/tsmDKRwqb4StRPLRBkhoqDgbGImASdQ8DkADhKtHA2GTZo21kWiwGP7cn3P2TNhuhQVHuMUCgXodDpkvmh8aqat75a4fs3n86N3sHRgO6Bht5muNFZ0T/QcnZqTE5yy0utje3uLUzwuntA5UMppWjY43AIorUppZopn586dieLl83nYs2fPSMHo2Lt3L+zevRuWlpbYyXfs2DEyXVwNHjlyZGzQBUEA5XIZlpaWYHl5mYy7srICrVYr4iodMRwOoVarQalUGgtHbwfcREB7D8r1u26jYgLT5Z4Y6PV6sLq6Kr71g6tfsz6YNgUUily+aNBHeeVGpcN5tsb+oYxtMX5cA1IXxYR9Y6ady+VYmyOc0JS1PsBxrxPdbjeysu50OtDv96HT6SRSnNRTAdi2x44dIxVLEARQqVSgXq9Dq9Ui0925cyeUy2XYsWNHJMxm9Ir2Q5QX9W63C4cOHYooRH08UMDnIcrlMtnv2WwWqtUqObdspwFKqYhdkZ4utejAcd/v98UH8aQ6cbtJ191+3PHiuvDdCqTuWQT9GMnsYN0dDieEXDqP20VwaWLnuZyPmwLXDDfTTQLXbb0EqS7TuGeLW7akBnLTgqRgkoZRzwTowiBJ/0k7Rv1vKtz1uNL1Xk3/PXW8jYsMs656HaQ2sLUx9W8pzHZkhb+x7UKk9pficfnZ0tWP25IibcrHs9o8WPgLWI9JkTaB55EOeMXjwcILDQ8Pj1nAKx4PD4+ZwC9cPDh4xePhMUPM03HlPJXVY74xM3JBuVxOFA+pmRRrS2eNcDRiDkiTNG0rdKICxQBTSo3ZAFFAT9rm5S3SYvGS1aQu2y74OWaO7pGZo0tjGpwtQ7lcjrjtx99z7Budxk0ByR9cvtIFt14njsoqPdfAwRaG766YZdLteLjLbdv7LGYf4v8pCrD+GylNyoYHy2+yKvU0kS4t2YpwrEOpTLqtDUV3171M65Do/nq6nA0Q5imNM4pIoJsSUOBIDzrRQRoPEquNy08iPdjCXZG2RcXMFA9nE2NDLpeDcrk8Uj46cABybvABeEGDA920tUFBGgQBq3jQ9od6XwXLQw1maTK7sGewzma4nh81yHU2Eef+vVwuiww/CvidU4hor2ETCBSk5w1sRn82mw2bMKfKhcJSYlRJyoMqF1LCcQHE1VVSaEqpiBDH8odhyJaXeiqESttsC13Bcn0qPRSHysNcRErj14xHtbPURjbBb1v0UfNSZ9tycwoXmtx4dM2L+52NTSelnzbMTPE84hGPSBQP+fn4qJgOFOL1ep2Ma1utZzIZ2L9/f6QD8Q2ao0ePknGPHj0KzWYTHnjgATKcG5BBEEC73WYfOMNBQQkErEs2m41M2larBY1GA+r1OmmJjgKOWoVieR/84AdHBKtSamRjQkG3T+HACT60WeLQbDbZSYs2FOaOB9u8UCiwD8ihbZFke0EJVXzvJQntGeuqvwuDKBQKTvYr3Ds1kgKo1+usTRiOcepBNuz3Xq8X6Xt8FI3bpQ0GA6hWq2RdB4MBFItFWF5eJt876vf7sL6+To7RarUKCwsLsHPnTtJubDAYQKfTIQ1t0R7MhTpOAXdZZjvjGOTe4xkOh6xRNwd9B8adXth2PNxJgo1iv5WYmeKp1WqJ4uExED4MpgONHl2OXLitsmlhjR0ehqG445HcjUjHMtwRknkkRwFXkubEw0khCTDb8UilUoFCoTD6HZan2+2ygo074tR/Y7MVkQxIcVJTbYiryTj5AYwfb1Hg7Gr0J9ap3ar+NwVK8es7Hq48qHg4rwj6LhbD9Z01JaSHw6H10UBud47ll2znpKND3N3pBpl6m7jslCgPEmh4zQlcTpDbwB1T62NE2vHYxqOUnw1J7IfipL+Z8OSCKSONqwsO81RWDw+P7YO5Uzxbobnj5Jm2lYWHh4dH2jCzo7akq2nzaIILj3MpbsantubcFtn8HucyjzuiiQvb2S4F1627fgFvO7JyTRfLxpVFqo/tLJsqU1yShPkbF/JBkjAp3PbdZazEGU+2OnLHwEnzm6QsacAk82oWmJTVljbMTPFIF9ASdHfz5llqv98XmTAANAsM4PiAMYkJeL/TbDZhbW2NTLPdbkMYhqyAw8tk6ly40+mwTkKDIIBSqSRefHM0VYkVhJfqHPMH25hqK4qBpMcbDAYsaUEvn/l/jvmHQKeZlFBCcoLZTvodmHQfQt2TITj6t8vzAJKHY/3OSoftXgodt3LjmHPSimly4wzNFCi2KY4XKV1pYYb3MVS/AQB5B6SzTKl0dVII1xeYp9kPuVzOuijj7lUxP2rBqXv5NqGUGt05xaH92xZ+NkWXdgXOYWaKh3LP7gIUihRLjLOX0eNyggTjmCwaVDyNRgPW19cjaSqloN1ujwQClS93KY6sNpvi4YQi/sbMEwU4530alQfH5gqCgFQ8SqnR8w4UULlyike60MXJyE0UvPym+g7zM8kmOFYoj9aYF9aVqxPHarNRYqULbH1RYAoh/RKfSxcZcZziwbhUuOTBW2J9cooO43OMQ0nx4O8p5YFl4hQPvvFjG8P4bx26jRu1S6YcEOtl5ogsqMC5dmq32yKBg5NLLl6kpR2PTfmkcac0M8WzurqaKF42mx257Zfot1Rj667sqcHY7XbhZz/7WeQ9nk6nI+54dI/YHCOLE0LIEqOUUjabheXlZdbmiTNcxW/dbpfcWWYyGajVaiN7KBNBsPEUBCdIOCGN7xkhjZVKFyBqR4HKXdrxNJtNdvJlMhmyjXD1KSluHBMcy5LrU6UUy2JEgUY9KwFwnKEXhiFJMZYUjzSWsD7VapXcXS8sLJB9p7OxOMWjP9dg1pVTogAbfY1MUTMcWXalUikyDvP5PAyHQ5bVVi6XoVqtQrlcJpUEtrH55hHWF23uqCNfLBMFrCu1cEazCG7etFqtkeySFsZUntJCR7fL4yAtGtJ4TJe6p6/j0hE5cNt+Kr/NAA4ACjaa5CRwvedwpWXGSVeKL/0uTtqu6calq85iXGzGWLMJp60aa1LbTnqcJM11LmySdog7lqTwOPNukjmXtiO5uWO1eXh4eKQRaRPuaYZXPJuMtG15PTymDT/GPWzwimeTMevjHA+PrYZf+XvY4BWPh4eHh8emYmbkgjiuwXXgRTfF/NEpphy7rNFosKw2tNcxWW3oh43bgdhcuEtMJd1bs3nZp//hQDnl1O1DOBoxsnMoZiDSvOOuTHVfeRKbi/LiLdGPMS4XhmygRqMx9h39ePV6PZL5hDRsiUaMMNsC2UlYdrMuyNST7Lq63W6k/bHvONqtzc4HGVDmBTrWketvtGXiGIsczVhn/Ul2PNx8BQCSEm1j9yGDTPoNml1w1GfOLkZyGovtRzHipDLrv7fNZ+obZ6KA32wUfP3veUAqPRdIxmqSoB4Oh9BqtdiwMAyh1WqR9GSOOotxAWSDQUqoogLAf+uw2WPoaXPCSzKEQ0M2rsxcfTm6KMZBI15O4GKelO2RTXljWSkFnclkIn2LlNx+v0/WE5WNVCeuPGhPw5UZFRMnSJC+T401m6duCbq9mKl8stks2Q5ofwJAe0JHUMaptoURwHFHnxSDDG3DTMWvLzCp9tVt3zhBL70DJCkem1NTqkw6rZxjn2G+EjWaW8RIbWx7biGpQ9StxMwUT9KJpQtMyiJZWr222224//77SXsR3Dn8/Oc/HysbpicZGaKA4YQ1dryZp247YQ4a3S6IEgZY3m63GzFsRXsazhAum82OysoJxrW1tYiCQAHFPeKHCg8ttE2gAu92u5F8pQfiADaeemi326x9UDabjdiGFYtFqNVqsLi4KBpOoi0PBexbM9/BYAD1ep21PcLnOaSdH7XI6Xa7o903BRSK0nsz3C63XC6TNk3ojXxhYUF8SwmfgtChC2JOuJXLZVL4oYKtVqukHZa0isc6cYunbDYL5XKZtMPChYhkcMm1Q6fTGY1fPb6ueCQbLABeuePCjSoXZ4uG+XKKFBdIXH3Tet+WOjseAN6Wx4XzznWCboxJDWTbiliaeNIxkh7fJBZIW3P9eINaJeFvklgt68rdDKeOLvQ6Sqsr/YiUK7NeNx22SQ0QXczg0ZKt7bFeVLh03MnV19YWusGlXh9pUaVDOk6WgO6MqPJw78iY+ZptgWWOGw/jopDXy+UyfqX5huGonDl3PBKk8SDlmVQ26fE5SAuNSe0Q06aAPLnAIxVI28Q4ETHN45p5O/rx2Fx4xePhwcArw+SYRtv59t++8Ipnm8KvOD22O/wYn194xQN+AHtsf/gxvj0xr7vCmZELkjaIfqnOXXJzl51IX+XovIPBIOK+Xb/8dLk0p2CjClP0Tok8YOZJeTjWbWYooF0S1Vb43bzMD4INr74c40oiQwAcp9VSbWVjRunloWjpOjVdT1N6HgLJB5SHbwTXdzoRgKuLxHjjxoptXiBrkPtdJpOBQqHAOr/kmE1IvKH61iQHmGwunSBjQidoUGXV/8SBTtDgxgzntRkJB9J8tJlGJGG1SV68MQ2JaSeRFiR6uIs9YNoWHjNTPHEHGkIf/JTARVAN2W63R3RVTpAUi0WS9mzrNGlAceWxwTahMU+Txo2GnNzTEcPhcPQOEEcz5t4XovJDoAChBJ/+G2rSI1WaUwCoHDg6NdbLLCsqHarMmUxm1E7cw4SSUENjWU7hcdRYG/tPGm82W6liscg+/cEBx3632yXt3PS0zOcLbAsGnblGMSRxPJgUY90+iwL2GzfvJOUhPf+ACpgb4zrz1VQ8tscMbYxFiVlo60uurZDdJ8mQtCkdgBkqHslQTYIuZCgbCOmdnk6nM7Kt4AQY9S4L5sUNRhxMXLi04pAmLObNvXOC1u/mGyn4rdVqsQaDnU6HLZNkCyXteIrFIhQKBdizZw/7sB31bhEqul6vB+12m0y70+mwr7yifZFZZrRXarfbpB3EYDCAZrMJlUqFtE3CdClBpdvhcDtvznOBTVhj3hQ6nQ40Gg3WpmlxcRGWl5fH2lj/mysP2qZIbwyVy2XSjse2o+d2F1h+VJY6UClR70UBbNh1NZvN0bih8kTDVLPvKpXK6I0gqkxoM0YBbedMTyY2xYNtLJ1CJN0JSwpa3xGZaWM5bDT6rUCqdzxUQ1KDAhGGofhSaBAEUKlUIkKREy4YLh2rYLpYX5tVMxXG5ctt3fXjI251hYOOG9D6xNQFlqQc9NUt1b9o0IrCHKEbwNlWg9yCgTNQlI4cM5nMaEHBCQMU4Gb/4Ligxgb2ZxK3N7ZjETQuxUfFTBSLxVF8yhsAB1Q63Bjudruj10ApexybEuXyHg6H5I5Hf0aaitvr9Ub9Lo0Z6ajNNMLV68btonBOxT1qk45m9baw7Ry5MM6gGMulu4fS28HWd1sFTy7YQqRxQHgcx7xe3HrI2K79Ok/18opnTjFPg2xS2BS0V+AeHvOF1LrMmQVs56gu4I5P4sY1jwDi5ikRE2xpU0cptvxcMEkbcuGTpunaTi7lSgKpbbdCoSZpB+7uyAWbsUCSymYbF0nTnTSufjcjxZlUTqQVqaRTS3TdQqHAsjiCIGAvqDHcPFPG81O8h5DKY3NoSLmr54Dlw3srE3gmj8wqHXj3wN1d4Bm31JZ4Nmy2RbfbhWazydYxn89DqVQiyQn6HQ81YQaDQYQogdDZXFS+VP/YmF1I0AjDkLy3wj6jiAl4bk45ocTxlYSCj/3W6XTIuM1mE+r1OtTrdfIeolQqsWN7YWGBvKzHuwuKqKKXC9ufuheR7mxtl9fUnSDewXAkJBxHuVyOHRN432sCSTBcWSV6vd4O5iKBmuNmmTAPCpRckhZGLuGYH3d/lPSufdZIreKhhIouCLhdQKFQEG1BOKFIeZDWw81/S+XWv0nAC0mOEq1fdJphutNTEzg54rhn18vDCadisQiDwWAkEKh88a0Tk1wAIFO1bR52qctXvb25+ugesymUSiVSMEoCVyKL6GWjLqKxzzgP32EYQqfTgXa7TSoenUlnjjWKlYblDcOQHWt6WU3haCNDYPq2uUF5Z8c/VNo4111MAkzoCtRMG+vJKR7OnkxnDro4GJVOKfR/S+OXi2tCIj3Y5MBWIXWKBwciFT+fz0cUhw7dnTknwCjFg5OSY3O57njM1bFtx4F5U7YVw+FwRDE2hTVSPjudDqt4cFfCTVpzYmJ5Op0OHD16lK1fqVSChYUF1v0+Pjim1xv7pNfrQbPZFIUFt2rDHYj5XWLuDIfD0eN/HP0bFyqUgEJjY85IlNvx6IrWVB6oWNbX18m4x44dgyNHjsDq6qq44zHHWSaTgd27d8Pu3bsjcQaDwegZjMOHD0fCAcaNr820cSEhMdcA6CM6LJs5DpEKzbHaisUihGE4YvGZ6PV6UK/XyV1/tVodKWBzruNJAmcyILFFscycIHfZ8XDfzHY3w6UdESfzbDu0rUTqFI8elzv6ksK41bEeTh0lcEoizrmpTdHETT9pWBy4rNTwu75Ksx1LSu0glUX6nmRMSatxDLPtYKijNtsuwFYW1zJR4Vy5XFfjUvkk2MYv1U74XWpbW7snaecksO3czHJNI89ZI2kbzhrp24NNAWlrZA+PaSOtgs7DwwWpVDx+Unl4eEwCL0PSjVQqHo/tB78L9fDwQHjFM6fwgvzEhV/Ne8w7ZkYuoFhPLkDmGTJIdNguZvFyVWKfmWwVpNzanITa/Cxx5eGYJRiGXoNNIPsGGWw6dJsXjkIpMVp0dp9JLKhWqyQzCgBg586dsLi4SPYNxqfaUff0jL8zYbOPsNmRcM5SJVf12P4ULR1/L1H3Od9nOr3VDEfKeblcJtNdXFyE4XBIelEHANizZw8sLCxAoVAYo7QjNZlzOAuwMScpZ6kYls1mIww/nZpvIy5wrDaKQKATgTgGKrYTR93H8pjx0U7KZIphXugHjsoTmYr5fD6SLubH+WpzpZ5TkMa+y0JDIqO4prGZSKXiKRQKpGNBFCCSs05bx1Puzl0Uj/QuiK0+nOAMgkA0IEUDObNcnCNDvU62fNGRJ8VE4tp3aWlppHgoYYDKpdPpjKWBdZHa0KZ4JDf3XJl1J6Kc4un3+yNnojqkJzCwnDbFQ41VVDymt2bE0tIS5HI5qNVqouLRvXXrfc05v0RBTtn5APCKB9OX3tSR5pukeLBsFHQFLVH3KaGKiocyNZAUDwCM2tQc37pg5xQP1otrJ5cxxcGFDZo25SJhZoqHW1nZgJbklJGi/iwC1chot0INRhw4puEefut0OqzhJNo4SPx8aoKhwOS4/0EQsJ4ChsONN3UoF+64E+IEqr5KpRREEGwYG1LlqtVqcNJJJ5H1LJfLUC6XR0aXJtBLwLFjx8aUpVIK2u02q9gBYKTMpB0aBaV4I1wsE+daHwDYpw3031PKGevECXqA6CIH4LhFPqcAcMfDCZGdO3fC3r17yV0nPnxHlScIAiiVSrBjx45IeBAEUCwWIZ/PR+qDNjycTRjAcTsrCjgOKU/auCPl0iyVSpDL5ci2aDQarJ0VzhdJAXB14RQH7tolrwcYX1okccpn0qNzaseTZkU0M8XDNb4N2HHUYJUsnc00KFD2EZzFthTHNW+TQ8/x/6XVOnVcI5UX08T8pCMFyq1ONptl30hBVyTS6lffQerllZ6V0MvqYiPE1Zf6bus/fcdkHsvoeVP5SS7yuXJhPShXPGZ+VHi5XB6dCFDCXLL9kRQ49zyEDumojRvbLjseaYxKLnW4cuJChHoWQcpT/84tFDm42CzZwJUJw9KsSOLCkws8PDw8PDYVXvFMCdtpNXKiwffdfLbBpMdTHlsHr3g8PDw8PDYVXvF4bBr8CnU6mMfdyYkIWz+dyP04M3LBJI3K2XvY7Gnw0pb7jXRpbSMXSJAuxaUnCjBfjlzA5a2/V0/FdfWia/4b/y/FQxYgVVe0OTKfIUA2j+3dFolYIIFrQ2Q82ex4cMyYaerer8140iU8fs9ms5G4eInPkQuw/bm0JU/RUnl0hiUFHC/Um1JJL8wlwoiN1ab/jgLOAYranzRdifDgIgeQps39zpRfOokkKUEmDvEpTZiZ4rF1vARkRHEGafhvE5lMZvQAFEUtHA6HEbf8ejk5qiN2rjSxqUfD9MnOTXikaVJ5Ih3XzBcpueVyWaQfSwKKe34CFRoFpM2ura2R4c1mExqNBqytrUUUD9K/OdgYbZIw5myhcrncSBlS4UEQjL5TaUuPiaGQttFyqb6zsbWk8VKtVlmKvmTkyeVn5muyxfS8bGw3c84hUxDHq1kmtKnhTCOwnag6FQoFqFQqoJSKtBVS6LnFp2RIi2PQbAd8poQbSxhXsgfEenMLTVscF1ueeUHqdjw6HZeyKeAeIQM4bnzKrQwGg0HE5kDf8dje0ZAmHrda5ISEvrribEG4wYYColgsig+V6WU38+YEvSQUMb1Go0Gm22q1oF6vQ6PRiNjx2BSPXjbuG7VqdrHjkWwvcJVKvZDJvQWDiwFqp4Tl4oQmfuNozboNG5U3vrNEKQKXnRA3hrkXQfW8bDsqE1h3yhgcV/+SkMY2psY4voRLGbw2Go3R21xcmtwYx/laKpUiigffmqLi4nzt9XrsokF/MZU6zeFgk03zpnQAZqh4kgJXQZTRHwpa7pjCZl9CCVuK52/Gs+14MB1TgOH/TaWk58MNHN2+iNqV4MSjJgF6CpCOHLndI6d4cPCjYSuFdrs9MsQ1FQ8KGhfhxQlPLi5nT4MGttzDXuZvqEUDpZT0fuGOULEdKSNPameBKBQKUCgU2AcP0Y6Kypsrj35syM0PfQdnjoekikcvk94Ouu0U1y9YTm5XiTtzypi82WyK3ipQiVDAPjNPE7i5qNcJFzGScjfnnrRAjBOOdePC0oZUkguSnCfPE7Z7/Tw8ZoU0C1MPd6RS8Xh4nOjwApaGy6LNL+zSjxNa8aRlcqelHB4e2wVe+aQbM7vjaTQaieLp9wEcM01ieEiXcOaZLw5OPEfmLnxtF6F4YcyRCzhmDsBxj85UeZGxY3oyzufzUCgURhfNXHk5x6b6ubtZLqUUhGFIlhUv6ev1Otn+nU4HWq0WhGE4dpmPZ+NSO6B3ZOl+x6wLkgu4uwuJcqu3A3cuj2QUahwCACwvL1svhbm6SJfC+v2SCcq/nh4m3XFKl9TSvZH+N1deiXhDsdp01pnkq5DzAD4YDCCfz5MEG3RIS82NIDjuEJUCltUklqDM4YgJSqnRUwxcG3PUfmnhqY9xbjxxphcupJKtwswUD+fp2QYbZVCasLpyoX6jv7Giw8Z0CYJAHFDcBaxOLpCYLpKjSZ0ijsDJobvGN8vT7XZZr8Em6cEEp2CR8NFut8n2DcNw5MnbZJFh29jsSCTFwykAiVUleVbmmH2YNgpq7tK2VquxhBRcqFD2QTYmkq4QqTCuztI4czEJoNKUlIrtN/pFvlku2wJSJx9w5BtcLJp549zgysS9JwVw3Eu6GV9vP268cJ7xzTonNTXh8k0Sb6sxM8VTr9cTxdMHBvcmBseO0ncl3GClBgauyjivzBJFEuA4E8YclPqKm3s4DenjUtpmO+DE4nY8+B4J106oAKgVMtorUEDD0Hq9Tk6ebrcLYRiOVn56flhWyauwbVVNKR7XHY/NKzMFfEiMa8Ndu3axO6V+vx+hlQPAaBcq0YilRQG3wMG6cIsnF4XHlcUGbH8u7VwuF1k86eYC3Fyl2IYI3PFkMtE3iMrl8ugJA6qs6GWdgj639Lqj7RaeNphQSsHRo0fJnblZJ45tx8FkwHFhVLiLN/+tQOrseFzicis3iXqod0wcwafnlWTlx213bfRsHdTxh7Ra17+7Xsa6tLmu+G1tbH43y20rTxxI7RAnzbj5utL39W+uSFon2xieBfTjICpfqh1s5dHnsk0oS/OD+r00Brm5pe9CqT6fxGBez8OERJc2w+OmvZU4ockFHtsDnpwxH/D95IHwisfDw2NTkIZV9yyVXxrqNy/wisfDw8PDY1PhFQ+cOCsVf9Th4TFbnCiyZFKkzldbEGw4+iwWixGWme66nYN0wS0NCo6KahISqLS5ZwhsdF4AYNlWmCdVLrz4pPzZAQBL/dYJB+jjyiyz5HATnRxynn+R+urKxuIgsXfMb7aLYokhBrDh+4xiXSGNXbrAlxhxABu+Bc2+Q7stjtChU3Kl5zJMxqI0PvF7ElYbxrVRnyVwF/U4L6h6cr4N9Tx1uz5bnvp3ANkp53A4jNghKqXGxj9VnmazCe12m7WD46jhehrcd1vbuxJN0oKZKZ6klc5ms1CpVKBWq0GtVhsLQ4HKDRp9AEp2PFRZJa/MnMNHBOfKHuNJccvlMkvtxDQp47terwetVos1PpWUAMCGzY1JtcR4NjueMAxZCqxSGy74Kcq6K5PJBMfQQ+HCKRZTwFHh2P6mN2LdgzRXbonCigrEHJNo50S91QMAI7o5x5JCQU0Z/rowE7l0pb6RaOU2eyQAelGnO0vlFhoS21K38+EUF9XGmCY3xnHRZTrCVWrDsNp8a0oPX11dHRlRU7A9lyCFudh+Ud9cF3ubjdQpnkwmA8ViEWq1GuzYsWMsDA0UOcGHg8pG6aUGo03xSEJcehbBtuMpFovsgEKlYyomtNGxvQ0iDTpuEgwGA9FzAU48SVhwLvtdbEIocIZ7LrRyaccTBBs2HaVSCSqVSqS8qAQomjAAsOMQQQnVXC7H7hj1ckm2IJwtm8tux2V3YsbFskwypyXFY6Mic/NZ8gRgG//S4nU4HEbmAH6TFE+j0RjZsXF5xt1x6rRy25iZp11P6hRPEBz3ImAeteEgk4zVuDCXjpNcyrvElbj/lC0DAIiGqZziQffrnDEaxpVWqZRFPQCwaSqlRs8L2HaO1BEUdSykw8UOwmbPwX3j+hbHGmXYGgSBqHg4ZSiVS9+J2jwMcNDzniYwTc4eRwLXt6b9lpmXvlChyiPlbVOktr7hZATuoEzloi/0OMWDRqu2ExmqjSS4HpHGnR9biS0jF/iLbo80wI9DD4/Nx5YpnrRpYA8PDw8vlzYHnk7t4eHh4bGp8Ion5UjTUZBfDaYHaRoXHh5xMTNyQVKnebq7dO4C3EazlMgFcSm5epk4wcsxp3RiAffOidROEqWUY4/p8STYmEIUbOymuJft5nebMDXLhaQPF5sXztaDY3zpaXNkCI6lhL/nKNNIakhit4HlotpL6jtXRSX1jwviKEQcw9J8db18p9KWyszZqnEmGzp1m3vGxIWE4VonM540P1z6Jm0LlZkpHpMH74p+vw+dTgc6nU6E0oj2BBz3H+Nyxm74hgdF9ZXYNcjk4ijI+Xx+ZK9jMnxKpZJox2Nj5mC9zDhIO+eMXm3UTUzT/A3a6VDAdrUZvVITQWpjqhxmGGV7geUJw5DME6nh+IcqU7fbhWw2G2EOBkHAuuTHvNfX10UbkkqlQj5pIT1fYHunBqnW1EKIo7ljPKn98TfSdy7cpe9MIF2de9MI33SSKOto7Ew98Mg9iqfUhi0VZ2uDc52y40HjX0pp6Ysfro1xTiZRINvttGFmikeyDJaA72tQKwuOnqlDmrg4WamBwa1A9W8SdZl6PEqn69pehuRArXRwxSuVGSdCXDqqZKCLv01qj+OyI+JA7Wp0SjlVZmks6WlineOUDem1VLpo5Cntdmy7a2nnwlGNpb6z2VElVToSXOxOuEUkxudW+vr45ZS/FI+zf+NeG3YxJ5gV1R2xnZRPahUPZZFsE3zm0YkZV7cf0L+7vNwo5as/r2z+RnfzQ/H3pUln5k/lS0ESQHr6lKcHlxcSk+xabHY8Ujm5Y0l99U+VWVdK3FGbrphcj5lwR8k9y8wdFQOMH79yuzTb88ncztvWd66Kn7PB4mzCJEire8loG9vYZovDzQ/O/gq/cW5vcO5Qise2iNHzlsqcBEl2m2mGJxd4zC3mddJ5ROH78sSCVzweHg6IIxg3S4huJ2G9nY6RPOzwimdO4Sfq5oI7ftpKpKEMHh5JMLM7nmPHjiWKhwwx6iwb71FM9hgCPf9KZ935fD6yUrR5vbZdGuJ5tXlp7EIu6Ha7om8ndMypA31ChWEoXppjGaQ6ccQFLo4LzHQxPekuDR0wcvVBxqIO9GVXKpVIplE+n4darTZiI5kIggA6nQ55H9PtdmF9fZ1lBw4GAzh27BhZ3kKhAJVKBQqFAukck/Nnp5dLuuPhLtxx7lDpYZ4SIxEg2S5K6jcAut+xHhxBBtuJu5fCumAaOpCRSN0JYl7cnNMZrBR5g7u7cwk3y2B+534PIN/12u6L04iZKZ7V1dVE8fCCHgWrjkqlAuVyGUqlEinIUUhLjCLqCQJuoCJ0Nh0F3QN1XMWDyoUCtoFJ7cTJwbGq9LLGVTxSHD2uFEala6Pz9no9aLfb4ltAzWZz7BsyCSuVCilICoUChGHI9i0qHkq5NxoN+PnPf84qLYlOXalUYHFxEfbt2xfxeo1tID0TYaOdc4wtfFuIS09SPJLwsgk9iUmqMzDNMkl2PLptHJcuKnbK5gb7hSu3pDxwbtkEPRXXxiTl4EKikODymzRhZorHfEjJFbijoVYO+uNl1MoZ6Y5c51MrTcxHWmXaOhUnkZm2LmQkQcJ5g0abGlPx4ADnBKptRS3Vy1ZPl8HN7aIkgYo2N9jHJsIwjNheoOLpdDos4wp3wZzwwh2n2Qfr6+tw7733jh7/ouI2Gg0y3Wq1Ct1uFzqdTiRdXOFLT2xg+hSk9sf24NLFuSWlS/WdJMT1hYa0CKIUD5bLpni4MY4nH2ZbdrtdK4NPUh5oq8Mx1ZIs5iRMcmSaNM+tRuo8F6AQQAMyKoxraFsncDsX1wEqrVBd7B0oOrUEbkLHWVklGdRJaLOTpo95cBR66vh0MBiINjNSG+m/QVq1Xi48bkFlaJYJlRa387C9uQMgt0OSMEnYSorfpZxSvlwa3Dg056FtjFLhOiWd8gpCpR1n18AtyKZBa3al7WO62/Euz5MLPGJhHifBvK0GPWaHeRy/2xFe8Xh4eHh4bCq84vHw8PDw2FR4xeMx9/BHaR4e84WZkQsmBXVRiheJ0iUq0l85pky/3x+7jMQL7UwmQ1KtAcDZOSD+26wDdwEKwPveQrYb57PO5aIU0+fCqDa0MfBcyBsmdDovZ4MlXQJz+UqXwWY8jk6t94/JXNIdiFIoFovs93w+T1LlkW2YlAaP5UxKg3ehwnPfbQQCqjzcOHRhY+nMNS5fjv2KhBEqHseCNOWLWTYbQxXrKflJlEhX0ryS+pwLT/OCLJWKR6ch69C9QFN0ajT6o1yl6/EpJZDP56FcLpPlabVaI9f60uSjGCiYJ/d8QRiGEfsURL/fH9GBufw4SE4vAfi3UCSljkqQ8+yLoCZmoVCAQqHAtjHSfCkmGgqXuE5C9TDOgBSpvuaiA+1DKBsfDN+1axdZ11KpBLVaDQaDwRgFHMuL45dqZ91ImgPXPy4UeputGvXdZqeDZeIEI9X+Ni/cOCc5ujXmTYXVajXWMBt/f/fdd7NpUnMHbQBzuRy5QJWo+QjdwN2E7RkTLAP3PW4bbTVSp3gkarK0g0CgoOCM/vr9PmlNjgOLQhiG4gQAsK/8JBomN0Ekb7g2JB3EUpjeBtLuhvqmG9lyaWO6rjseF7jE5frHttKnPBMAHDfkNPvWVJTSSt5GjU6CJG1o21VK36V8beliHbnxYsuP2lVinqjQKHDtri9SuDLZPMJzpzWTKgeveKYI7qhN/0MBV1eSGxozLg4IapWplLJur21Cjfq3Pjkktzc2pWOzrbDZ5FCTgLP14I4gXMrFHWnZ6uFyNJTk+AjDuDGF9ZQUD7cz0Xe4elzb7sGETfHEacdJacQuSocaS1Ic1wUBNW/0/Mx8cffAKR5uZ2iOB6o8nPE6zhupTlR5uTkqxTfztYWlEZ5c4IBJJ62Hx4mONAlBP5+3Hl7xeHgw8AJqephWW/o+2R7wisfDw8PDY1PhFY/HtkWajnc8PDyOY2bkgiRsFIzHPSWgX/ja3j3nQBEFqLd0zHxdLtapi0W8SJYuqW1esaXLyjjsMpdwzhsw/p4jH5iIe+msX9xS+VOel5HaWiwWSUZioVAYvVFDlVkiq2SzWSgWizAYDMi4SMGmxnk+nyeZU+alMgXpslj/HodYQKWfBHHHIUfQ0L8lZYNiOrY5QI1DqW11Eow+Dl2estDLxZVXCj+RMDPFc8YZZySKl81mYWlpCWq1GiwsLIyF4aDgnlxot9viA2jZbBaWl5fHmEjIZqtUKlCr1ch0USAeO3aMHTTozdhkRjWbTVGpNZvNiLt/hO6i3YRNAOkPaVHhKMQ59hlXnuFwCKVSiWwHtDtqtVoRGjG6qucWJJVKBfbu3cvaM1Bxc7kclEolOPPMM2FxcTESJ5vNQq1Wg0qlAtVqlcy3VCqRFNl9+/bBE57wBJZZGAQB1Go1sf0rlQpL3adsgwBgpLA4yq+0UJFowjaWJH7n7KFcmYFUWK/Xizzih2XhbOPQ/q1QKJB1Qnsyzr6rUCiwTC9uoYL5Uo9FAhxnK0qPGXIG4QDj3vXNMkmwKWAuDVSgaVR0M1M8nFW3DblcDorFIjk4cAJIrwdywM4zX2lExZPP51nDMBxsttUX1cFYJklhScLA9sAWFWbbkUi0Zok6juXhJqa+G+LsNrh2wAnPTWrqETN8fXRxcRGWlpbIupTL5ZEnARO6XQbluWBpaYktcxAEUCwWWcWD44pz2Z9EkOtpSIKGgvRyqZ63ZG8jgUpb3/GYc9NGLUeBKVGb9XR0SIsuHKPSjh+p8iYwXdvTElLfSuOJ+y7B1qdpxcwUT6lUShQPjzDwjw588lmy0QGQjcCoIxtURpRwwkHo+rCa+X8sK2cwyCmeOMcRUjkk4YUTyBS4kj0TZYWOAkJy/6MLGk7hcQoNYGNBYno9QMWzsLBA7nhw5cstKjBdShFns1kolUqiApDsQfS/Kbh6lqDiYbhrHJutiDTW4gg1bsdjKhdzPHBlstUJ0+AEttl3LmliGDUHJJc5ep/bjtq4b0mOx10XBWmDJxeAP3OdFGkc2B4eWwE/F9zgFY+HR0rgF0Czh1cM6YBXPCcQvGBLN7xQ3Bz4dt56zOyOZ5LO7fV6EWaUS7q6HyWO1cadY1Mu7PUw6Zwc7wekpw84dgl3Joz5IlvOTFe6SMa7GOri0aTrmnVCGjEF6Y5GT990O6+3g8TmKpfL7N0Fkgh0IOupVquJZJZer8fmK1Fx8ZyfKxPHnMK+oejWertTeeu+Brmy2dzym3C5J5TupWx3VhzTTrr34EgHCBsbC/sH75DMuDr5wMx3MBhAGIZkutj2rVYrcv9iM7sIwxC63a7IanMla5iw3R0lTXerkDo7HhRc7XY7ElYqlUZ/qM7XaahUJyB5wAxDpUO5+8eBiuw2Kl3d9kgHTgqJeWKjuFLl0icBd+EokSF0xWX+Jp/Ps9RjVMDcswjI4grDkLyclYghCwsLsLS0xArzhYUFOOmkk8a+YRssLi6SxJDhcAjtdnv0h0IYhiRlnSNZ6HkvLCywC5xcLgfLy8sRhWh7T0pfbHD2Q/l8nu1325tRtreWuO+SYOMEKv6fGuM2BasvnjgbrEKhQJILbM51+/0+a8LQ7/eh3+/D+vp6JF2JTq2UgmazycoRG1yIS5IMkdhyaUTqvFMHQcA+gJbL5cQBpQtUyQiSArdqwzDbaoLbQWD8uNAnO7Wiw12ULS4XzkHaSaECRZf/JnQFTAkaqY1x0UApHtzxmApRZyBRwkDfaVG7WYDjb6RQige/STseTjkA2D1rc2NF6j+MJ8VNCm5+uK62bawt6nvceHpZbew0ThFKOzSUPb1eL7Ljsc0rlzeG9L/jIMlcTjNSd9QmCVy906XV/CT5U+Wh0ufylCZvEqUkCR/p+C8OzGMxm52CRFeXaKw2SHRV3EVQ+SWluKKgoSji1FGhGS4JGJv9VVKY/cCFucaR4k0K7ohO/79NOQPwZbbJAJeymd84RYq7RW7BF+e4iyv7LPsmbTsfTy7wmCrSNsDnEfO6ivXwcIVXPB4eHh4emwqveDw8PDw8NhVe8cSEPwbx8Nga+Lm3fTAzcgHHIrIBSQXcIKMur13CMJyiQyLF1cVvFBcuMbYkIIuGSlNqB6k8tjLpdTXTGAwGLB0U0+x2u2S5kC5NERRs9PpCoTDyl0fVi6LI4yVtr9cj2xDrYrPjoS57dbq660Wwma5JWsDxBwAsVds2FiVqvm0MSuEcJVcf+xxdl7tYl1hk+vim0tVZkBxFnOsbidWKJAHJ/opKV//mwvCTQLWlrV/jpKWH6X+nCTNTPMeOHUscl+PL48SVXMZjGDXwCoUCLCwsRCY9DnBO4Op2PBSUUqRwU2rDJkkyBlxdXWVtChCUULQpWVRoNgVttmO322VtXpAqyoVjmpSD10qlIjrr3L17NywuLrJ2PPl8nmzf4XAIKysr5EIHy9rpdCJu+RFIiaYcxy4uLoqMuX6/LwoLajxVq1XI5XKwtLQkLmS4sYhtSJWJs5NCYdjv91kFzAkpXRhLzzRIXta73W7EYBPHks3mJZfLsZ6icUyZ8zIMQ+j1emx5CoUC68QY7acKhQLLaLUx4mwLUCpdaWEmzXMAYO0LOVZhGjAzxSM9USABV3uc0Rj1b/ObbUdkpu2yu8D4LnYJOnBC2laaUp5xvuvlkcqLbUyVS/L+bTP6ox7M0nea3EpfX2zEoZoiJZpTPFhezgsGt5vFenCW6ijIOVBCSKfAS277sexSutQuTVpt24SibSGTFNJuSBKMNkEuLb5cTj5sYUnawbbbsfVNXFMMHdIuSpIDW4WZKZ5JKmrrQNvA0f82Ya5gXY/RzPTN3+h/699tRmUuW3PJRYrtuM2lvKbNjeR2RTr6wLQo5Y5CnFMsnNLS0+XqyLWv3vaScKPywDrYbIRs7c/9n6unywIoLnQhbkvbHDO2sW9LS/ruWh7bd+7NI0ox6+FUmrNSwNOANJep8En6btbYtuSCtGl4Dw8PD48NbFvFkzYN7+Hh4eGxgW2reKYJr8Q8PDw8pofUOQn18PDwmMVRuV9ApgdzqXhcyAdUuAsPP85319+6sI0ocOXV65e0HfRLZOkS3OW7nm5SppFL3pzHa64Nbcwpvf4c60pK28WGgqtLkvFA/TZpXNd0OaKBmWfcOun/dyEhxEWSNjbrkrZ74qREjDQidd6pdVsd0+ZDqQ37hkajwTKf8P0TKhzd+VMCTLJxQAHHPQcAcNyGwpxQ6+vr0Ov1WOptu91mw3RmFVUe7jErALAaPyKd2gy3GexlMhkol8tkeKFQgGKxSNpK1Wo1yOfz4oNt0rs5/X6ftMXB/uQECdpXcX0bhiHZTuVyGQqFAmknArDRFtzDddhnGJ8q0+rqKhkXKecc+6/f70Oz2YzNvML24ejsKGipsYi2NtzYx0cbOeZms9mEZrM59k23CaPSxbHC2bgUCgUol8tkWBiG0Gw22T4/duwYHD58mAzDcplzS1dGXD37/b5ow8MxJF0gUfelxR7HntxqpG7HI62aAY4LRm7C46uE3KSOu7LF32DZ4kCp4zYmNqUmpUF9w7Qp2NoQFQ/+Wwf14ilCf92Va39cNFAGmZIBKXof4Nqi1+uRSsm2s+DedkJw3/P5vGhZDwCizRHa/3C2NlLfDYdD0aCQ6ztJGdnGMLe7cJkftjam7KhQwHN9ns1mWfsrTJMrj83eTHqsTVIuNtMIV5s8Wx9wcDlxiPN9K5E6xeMC6U0MgOk29LSO2aZxjOeapp6uzY4njhEit0tC6DY8nE2MbXJIeduMH01Iq1MpL8wv6XELJ2D0OuLrmlyZqL7B7y7CjUozKZIeDep1kRSalG7cRZkeN4mCsNl8TTqPk8qmpH2YRqUDkMKjtmmlMasGT2tH6oirLJPUyRZHCp+HNnTFJO2wFZiFYoqLtN5FbGa5qLuzWfZN2sahp1OfoEjr5Pfw8Nj+8IrHw8PDw2NTMbOjNolxJUFifehbUur8VicWcJe+3W43cmGJZ7fchW4ul4PBYEC65sd09XQQrs8kxD03drl7wDsErrx4GUzd8XDbcryn4byDIwMMWYJ6fv1+f3TXQ6HT6UC322XbjGIGYj9z3pr1dop7l6CXmXOxLz3hkMlkRmOGKjNXT2w/7o4C41J9y41PqZ5U+iZwrHAX/WEYiuQCymu2Xj/bnQoVPhwOR56kzfB2uw3NZhPCMCTjttttti76/ZAZV+oXrh7UbyQaPgdJ9tjIWGk7ZgOYoeJZW1tLFA8FCeVav1QqQbFYhHK5TAqaYrE4YrZx3q3X19cjHZHNZqFUKkGlUiHLhAONo1Oje3yTRSM5qDR/w4Hzqgxw3NGkqSyoslDpcsw/jnmWy+WgWCyyLv1x8Pf7fZL+iYw3CvV6HVqtFvvUADLmqG+1Wo2kaSulrO/xYDtRfdBqtUSnpqiYqHrmcjmyHW1OVhHS4klnF7oA21PKG8eS2T/9fh/CMBw9NWBiOBzC+vq6SCVutVrkkxYu5AJufvR6PWg0GtDpdCLj4tChQ7CysgKdTodM/4EHHrCy2qjx66q8JcQlhuA327MJFHTmYNqQau/UFBNmUkirKw5btWKQJqXJGnONa4bHqZstT33nR+2kbOWRJnbS/pEoxi6Q2GWTwEbqSEr6kNKbRpml71tBUrAx5jhP60nzmgam3bfziLmkU7tgWkwt6ghmM7BZk5iaBC5MrUlooTYacRLY+i5JuA1SXWa1Kt4MxGkLqd8mpR4nhctuKs73uL8BmI2cmDcGpQRPLvDYNExb4GyGAPPw8Jg+vOKZAk4UmxWPePCKy8ODxrY9avPw8Nha+EWXBwe/4/Hw8PDw2FSkltVG0Sh1JpbkaE/y6WWWTf/G0Q5tfrv07xzDRuL+S23Fcfel8DigiAWcB2OkCXM+1yZ1o2MjLXD2HP1+n7XjsTmwlGw2kGrNUfMlOjUA7RzT1nc2RhaWZdo+v3SSgDmeXanPrsxD3Y7FxXef5HONslOxOSB1qQv+myrXpAzYpEQWW5rzdLQ7M8XD2U3YgAZy3W434gY/m81CpVKBSqVCCkelFKytrbEdkM1m4aSTThrjxOuTnDN6RRuGXq9Hpo3GjZQdDxpGcnYD6JWZAgpizghREtQ29+tc+MLCApx++ulsnGw2CwsLC6yh4WAwgDAMx4SFCwsObYQkWymqf5TaeHpC6nPKBkhPl7J1sLUv2ptJtlBhGEZsw6rVKhSLRTYulqfX65Hh+XweFhcXY7nYR6HEtSH+hkK/34d2uz2yhzKhlIJOp0MaiSI4myaXBRn3bEImk4FerwfZbDbSt8eOHYMjR45Aq9Ui466trYkGpPrfOrCNbMqSwyQKx2aMLpWJW0huJVJXIpcVFmcBLxkDYjxbnlSYiyEoh6TUTgyb9Jw87gpMGqgowLkdD64+k9CtbcpUoi1zRqdm2an4XN+6UK25dsBdErXTcnkGw4WOHaeNJ6EJTzJ+EeZ8te12AI4LWklBoLd0arcqzdlJPA/Yyu36m2meWmAa80Ry8nc8M0baOtwFk9qheMwGvk88tgu84vHwmBPM4yLGw4PCXCkev+Lz8PDwmH/MleLx8PDwkOAXp/OB1JELJLhcyCXxHeUaHjcN10lgo0zPKi53iW+LP8nkdimbRPKgvnNhyJDMZDJW9hQXP245pXSRXSZd2JuMSynPaQrZaYx9V8Sl/rq0c9y4W62gtjr/rUZqFY/NVieJYsF0Xb4lwWYPpklYbzZq6KSg7INcBHkcIaILd05xBEEguoVH5pkUP649B1cuVISc/QnAccbVtPsl6dicFdHExR4mqcKZtLwnulLYDMxM8bjaGJjIZrNQLpdHf3TgWyH1ej2RV+B8Pg/VanXszRGM0+v1SFsbXYBw9Mx+vz+yOzLteIIgEN+hod79wHxtxpTcKh4fa6NsHAA2JnW5XB5Ro3UsLi5G2l3PUykFjUaDXa3j+ziS7RGFZrM5shWh0l5dXYWf//znkfIMh0NoNptsO9oUrN6ner65XG707hNnq7Nv3z5ynKONTbPZjFDTa7UalMtl2Lt3L1meSqUC5XIZKpUKmTbasWE+Onq9ntVQVrLXQRssHYPBYPSeDtfG1NtZNmA5OPuqXq8HYRiyfavb8Zjt0Gq1oN1uQ6fTIduj2+3OnXJJaiOUVkJK6hQP2pEUCgVWAHa73UQdgZb3puJxsXKWlBpnKY3/lgwYJ7EJkFZ8aDvBKZ5CoUDa5OB3M1+s/2AwEI2DsY11get6jDMYDFjh1ul0YH19fewbtnu9XmeNG6X8pXLlcjmo1WqkYAPYqOeOHTtYmyfcaZntj0acxWKR3fEopdhFQz6fH9XbLBf36JfNJknfoZntj30iGYjiS6zcwkKyq8NXg6k4uEOk8tXDKQWMxsyzsOPZTMRRHN6OZ0KkcQB4zB5pmxw6/JiMh61srzSPI48NpFLxeHikDV6YxYNvLw8JqSUXpBXTYMZNM89ZutRJwhaaZdytWkXHrcu0XNkkYbXNkrnpUtet6KNJxpqOuGw7CdNuh+2myFOneGyOGfW/pd8kzVtC3AE+DXZN0jRsLDLpTB7zpITKrBWOxFjkWG1curNmTtnu2KR0Oc/WEssOAERWXFJ/gpPAlUlq/s7Fp5/LfOTuupLOnWkqHw8eqSQXICuIc0dviy85deQgEQDQU7BELqCE4DQGMMdec3USydHH8fLarDNeinMXvpKXXP2SmiuDxC6TLoT7/X6EQOAiXDA/STlxwLJwv+HaSV8gUUIRPT5TQGKGTvLQkc/nodPpkMQFqX9sY4VTWi7kGpuipdpB+g4AYzKA+w1HdtDJEBy5YJa2ah52zEzxcPRhG9ClfLFYhGKxGAm3rXA5+isAsK7oM5kMFAoFtswoTDk2Fw5000vyJDsWjEfli/VENhEFVKSU8MpkMlCpVKBQKERYWZlMBlqtllgurk4oiDudTkRY2J4n6HQ60Gg0WDf4a2trsLKyMvZNp+RKi4ok/aCUgmazycbL5XIkXRpgow1zuVyEug+wwchst9tw+PBhMt3l5WXYuXMn7Nq1i2yrcrkMvV4PcrlcJBz7lAIuVCQhznnpRmYbN/6z2SwoRb9bBABQKpUi7WSjU+NCr1Qqkb/p9/uwvr5OPjly7NgxqNfrLG0a248CjhWOXTkJXBdJcTCvR3AzUzzTaBDu/Nhlez6tTpzWyidpe0yavwu/36Wdp3n2naQtbEeZtr6Lm+ckiwYdFCXd5QjPJVxqE6pPJVr+NOor5WHbGXJxbDv7JEe7XDnxe1p3O0ltedIIz2rz8PDw8NhUbLniSevqgsO8lddj9pjFmPDjzGM7Y8sVT1rguk2dp+2sx+bAj4l0wvdLerHliscPDg8PD48TC6mz4wHgabkurBAbnZqzBwHgfThh2tT77ma+cYzv9LjUd2QKmbRRWz11BhPH4uPSkMpjg8QotLGqsL+RXWVC6huML32f9tEVsr0kejhAlMSBY0gaS3oeVL6cHY9E5cfxlNS2ZRL7OhuxgAuX8sVxRMkJZOfZKOIUtvKIMynxxpZmGpFaxcM5B5QGuS5sbYPVzM9lMHLCQhLkNkh2CgC0fYVtUuq2UJyT0KTltdle2ASJpHiQsku1MWezgQJVYrXNavJxYxSAbwtd8VDQ7Y6SKJ4krDYbbGNN/42UBvXNZseTzWbFhQi3kJS8yadVGJ9ISJ3iUUqN+PedTmcsLJ/Pj/5QA7lYLEKtViNtHACOu1I3hYWk6AA2Bnk2m4WlpSUyPJvNQhAEIwNIPV2Mz6XNub/HeNRzDTjJORuIfD4PCwsLUC6XSVuoIAigWq2S7SQpYBQGlUpFFPSUoCiVSpDP58nyAGzY8dx///1w5MgRMn6n0xF3F9KbOxI4oaoLak54HT58mCwTelZ/0IMeBNVqNRIPd0sU0OaFGqcYf319nbRdyuVyrKGmpKAlZLNZKBaLkMvlrEqWA2cvFgQBlEolMm6v14NisQiZTIa0qWm1WrCysgLdbhfq9fpY2Pr6Oqyvr0MYhmTfSTZJaUVcpZ52pNKOhzvGQMHHuVIHOO6Wn1vpm4JVF5bSC5cAwBqd6c8L6BPfdjyEdeKeIQiCYKT0qLpIOztM16XMehoux42SK3tOcell4uKikqUEHOViZpo7mrg2KLhD49ofw6gXRaUdD7YP1466kuV27maZbe3jslOSduXmcSIVTr3PZBsPOH6pcBzX1LzFBeB2eBZBh02mSkevacOWkwu2O+ZxNeLhMQ/wc2t+4RWPRyrghYiHx4kDr3g8PCaANx718IiPVCoeP/GSwbdbOuD7wcNDxszIBUknn8ulKMXdx++DwUCkaMalWLrQjm02MUmppi7UZIlc4HpZztk1mdBp53H71xbXxUaLIlm4EAxsTD1Mn4vLlQcv3iVbEcnuiyuPjSXGlc3WL0nteLj8ELY5S+UrMQbN3yWdH1zf2ObFViwcTrSj5tQpHim+ZMMAsMFmQTsQSvlkMhnodrskw8ZmY+KieEw7HywHuo2nkMToEoVTPp8ny4xvunDPBeisqTjCS6cCS4LanPD4f3yLhoun15mqU5LJqT+cRkGqB9aTE162dqJo3tgn3BMc2G82uxkKUj1xnMVVkvpvkoRxv7HNZRxHnMmA/syG+Rv9HZ84TEU93zTtWl3GvVTPNNUFMTPFMw27CnMSoW0DR2MNwxDCMGSNMpHmqofh4K7VarBjxw6yTJgvR8/Eh7tKpVLEjqdarY7e6qFgMx6l6pnP56FQKMCOHTvY92DQ9kJ6TM+0O9LLzZVnOBxCq9USd1r5fD4iDHq9HvT7/Yhtlh4eBAFb5lKpBIuLi2Q9OAGjlBqNiTAM2TpRQncwGECn02F31wAQeX9JL1c2m4VOpxOpb61Wg1KpBHv37mUXT6iwuLGGdTPR7XZFOnMul7PuWqhdu65Ik4Carzi2TRs1E5VKhS1vtVqFTqcTSaNcLkO/32cXfBxlH8BuZzXJzsRl8crBdRdsIo1KByCFOx59JUQJA5yUXCfgIOQEY6lUinQiKg1qFWraOHDpZrPZiMBVSo1ekuTsaSSbAs7TAhooLi4usgaZkhcBtEGZ5LiMShfrWSgUxpQHTmRpRa7bvVBpl0ol2L17d+S7pKwGgwG0221oNpvk43ZYLkqo6osNKm3JMh7j9Xo90lAxn8/Djh07yHR1RUmlLS1UUHkDRMc/xuPGoX50y42ZJEekALT3DRxDepnN8uKjkFSZ+v0+FAqF0R8d+E0qM9WOWCabgp3FsRjXb3r4djqOSyW5wMPDY3KkdbXr4eEVj4fHNsW8r5D1kwaP7QWveKYEPzk8PDw83JC6Ox79MjPucwDIKotDRXVhXOm+n6Rw8w7DhX4s3XtIdFyONYXh+LfE3nGhx1LxJIYYFaanJ7GukDRB1alUKkUcbmK6HLsP/X25tIPZFr1eD7LZrPhMQ7fbZeuL91UUI9HlvJ4bF3gXQ102I5uRAt6Z2DyLUywyvKRPOqclggsAz2AFkO9Ac7ncaMzowLtWmzd5qkyu8mPaONEWrqnzTg1wXLhRDBvbpOXolzZIHo5tiken7MZVPFK6mIYkNCVBn0TxuEwAifEjCXqpHXRiAlWncrkMCwsLZJ42xWN7eoJCr9cbvYVElaff78Pq6irbhqggOKov/s6ETq7hbNU455oUtRjz4ajHenl1goEeNg3FE5caDmCneSP5wCTY5PP5ES09juJxLddmI23lmQZSt+OxreSlTkABxDGjMH1dmOPOKgzDiHt1BFKBKWYUAIwonZ1Oh2VHcSu3ZrPJUn2RKVcqlca+48qs0+mQrCl9dSu1g5QnBRSGjUaDjI8CAJlmOnB3wNFny+Uy7N69GxYWFsi0H/SgB8EjH/nIsW84HorFIilQB4MBtFotaDQaZN/qcc2nNtrtNhw5coR9nqDT6cDKysqIcq0DV+GVSmVslxYEweipCm6MIuOw0+mwc6BcLpOU9YWFBZHlSO0O9HSp+aWUgnw+D/1+PzHFOIkNkE5z59ppaWkJisVixAwC46HBOFXedrvN5oue0s2yTaoAkjDWbGw313zTRjRJ5Y4HgF7p643HDcZJ86S+SdRZ/A21MnNZJUrpUq9Y2sprlmeSdqKOQ6SjNpN6TsWV8pJ2JrgbouIhZd0EUpolgYtvxZiKZzgcjqi8lMDVKf2S0OCMlaV4AG4W/XHS1nc0UpqmEMSTB1tcPQ0TcV8SdvmNvvPj3vrhyiztyM3dXlLY4toUjWtYkrmcBnhygYcHg7RNVg+P7QKveLYYXrh5eMSHnzfzDa94POYGk1xwe2wefB952OAVj4cz/CrTwwV+nHjYkDpWG4JiYrhcytrCqItumx2PRAAwQaUrsdpsadt8ZCVpZ4nlolPZzd9gWTn7CIyDl/omXLwycxRY6kJYvwzn6Lq6p2IKupdjszwSuUC/dKfGKTL79Itv/Mb54MNvSGbh8uXo1vo3qq0kmzG93GaaLkQHWzhHDHIh33CEBa6ddEYcZ4MV13YuDiaRT5NgnnaaqVU8HCTl42K/QpUNhaXNgFQCx2xzsQGShPgkSDrIbZOSE+JYZoqKCsDbmQAct73gnJdS1HCb4kGFI+WLrCiTGaWUGtGWJSNRCqjwKCo80qA5AacLU45Nh3/M/LnvAMffokriNT6pV2qExCKT4GL/RrWTpJwxXdsYlxa+EpIqjxNtlzgzxTPpYOUEF64aqY5CASO9Q0O5m0fhL9kpSAJOX12ZBqTtdpv1UgwAo/JQgxzT5GjaNnqyRIHl6oIenTngkwvcRBkOh7C6uhoJ3717N5TLZVhaWmLjSbupUqkUUR66gKcs9nUhzo3HarUKuVwuoiCUUrBjxw62jdfX10d2Y2ba+ATBrl27YN++fZEwfJ6DAtqDtdtt8jdogzIYDCJ1zmazomcIzjgX60sJan2XJo0lCdSiQR/DkgLu9XqsAW+r1YIwDCO2Ye12e/SdikvF0cuFdZq2MnCx10kK6VQkjUidHY/rERK347EdvehHSXqe3PEQwHFhwbkjMctupiu9xyMdeXHhcQYUN6DNN4kQLoaCnPEjKg+zHfV45XKZjFssFkcKRFp0mOVF5SNZ7EuuZNCGh1rMYJpcXTkPBJhvsViEcrk8+m4ew1JAgcv1A37ndjw4zihBzylgfYFjjlOsi6sgxt/oNjHmAgjDXOzUJM8R+MdsJ30nJCk1l3rMCrNSQPMCTy7wSIw0r6g8thZJBWiax1SayzZvmCvF4zs+XThRVmcem4c0j6k0l23eMFeKx8PDw8Nj/uEVj4fHnMHv/D3mHammU9vsW6hvNsbXYDAgnStKnpxttiA2uwRX2yIqjkQbt0Gijerpu9JGXcgbet5mWaS+CYJgRG3m6NQm4QLLPqmtE/c7jhCCYUhMMNsYbZKoMSPZl+iwtTGVht4Opt0Mx1rT43LUfiRSuHiMdzUN0PuQgl5Pyd6JMoOw2fG42OrM4lhNmtOzyjOtSDWrjaI942DjJiVODm4CIFVYj5/NZqFarUYotQgUIJzxY7/fh263GxnocTz7crYX3GNiNmWIbCCJ9swJN66eOn2ZS5Nrf2QZ9Xo9Ms9CoQALCwtQKBTIvqtUKiRbDgUiR3O3GUziOKOYUa1Wi2VGNZtNWFhYIOnUpVIJarUaVKvVMVYbwHE2FmfrhJRy7o0hpExT9k74hhBVT2wfbrxw7YDx+v2+6DncxnrjBL3EFJXMHAaDAXQ6HWi1WtDpdMbCkE7d7/dZRpxtXEjtNAnSqnR0FuJmIHU7HmllHAQBSxdF4ITkBo45SIMgGBn6VSoVMg4Kf07g9nq90fsp+iTRV3W2lx+5fCnjR/07RSPWaajcBEOrfIpCzL3pgvXAuCb6/T4EQQBhGJK7h16vx9pPlEolVukAbLST+W6RXh5OiKPisNHrTeHWbrfh8OHDIwFmotfrwfLyMtRqtUjexWIRqtUq7NixI/J4HQpF7k0jHLuczU0ulxuV1Sxzt9sVzQxsT3vof+txucUChheLRetje9wpgzTWJA8O3W539M5Ss9kcC2s0GtDpdMhxCADsG0uYL9ouTRu2Hc9WAufCZpVtrhSPvvrkGkja8QyHQ2g2m5FjiGKxCMvLy5GnlRH6jofKt9VqkZbh2JGcnQkAb5+C+VI2KDbFo+8uJEt1yj5DFwaUfQq2lyTIse56O2B5wjAk4+KOk2vjdrsNa2trZHlKpRK748ExI61gcQehp4GKp9VqkcpSKQU7d+4k0ywUCiNjWV3x6Mc/nIcGpdRI+XNHjtxuVlcQVN9JhrT678yjM/3oioP08CAeo+rlwr+5nR3aFHGKp9frQbPZhLW1tcgjf/V6HdrtNrvIsSkeal5M614t7nHbZt3nbfaOx5MLtgFc7zI8tga+X9ID3xc0NnsX5hXPNkCat/Aevl/SBN8X6YBXPFOCH9AeLvDjxMNjhnc8SSeYRNnVvQ1zLDCA42f7JvDcWD+vxvRsZ98SQyrOswlUujp1lMrTZHPpPtE4uihekHJ3S9yFcKFQEJ2A6uf1JpAKXSwWx36jkys4ijIysjgmHuUUE+C412XpSQupf/BuxxwveF8i3c9Vq1WWFYhtSFF9AYB9/kG/45Jo59T84OaNHiaBG+MSUSUIAuh0OqIHcKUU69B0EsozRwwx6fZcXCld885Ph+27FM71DQdpLJigiCFpPVpMpeKR2FyS4rHZSHCKJ5fLidRjjBv3aQNXSLYPlJ0C/p5TPADH68XVKaniwbJRQGFaLBZJQQPAKx68CJao0ZTi0duJimO7GOfo0ih4OMWTyWRg586dZFg2mx1dmnOKh7NX0pWHxPDD35rfbYqH6zuOuqxf8nOKh7NZ0n9jxkWbLW7e6cojLiPRRWnpeZjgCA36AoqCrY0lBqtNXkr2eFJ906p8ZqZ4ktIRM5kMlEolKJfLEXozDnBOoIZhCMeOHWNZK2iboXciTgrOBgKA97qM4DwJc4NJ2uXov8G0TRoxKmXKGBZgY9W8tLQE5XKZpKsGQQCVSoUUqsViccTEMsuPwqfT6bCMLKU23rGhGInD4RBarRZZ316vN/ZImolKpQLLy8tknkhl5yBNPIxrMqBQ8RQKBXIsFwoFOPfcc1lqOQpss7648KlUKmwbSrs0nalngnseAuC40JTGONrGmN+73a44xpvNpihwa7UaFAqFsW/40N6OHTvIMuF4kTyP60xJHTaTC6wXBRzD1FxHhqnNzo3b+SV5WgL7WVrcYl0mfYpmM5HKHQ92ntnB+J1TPDjguBWAPqn1/LBTpZWX+W/zNxTNW1qFUHlQcbm6UMdDCKyf9JSD/m6Rni9+p+ik+lGY1FaUtb5tcmBduFUh9QyBRL13gb5ipgxIsZ6UsMhkMiPFbobjeDJtdcydNgWpffW0uTFB/Vv/Jp0U4L/NMJwzkrCWjpl041NzrLn0mySUpbkuxeXSw7+pusY52bC1fxL5aJNPLnIlLfDkgk1GGre9Hh4e6cd2kh1e8WwyprX62E6D0MMjCdK4kp8ltlN9veKZErbToPDwSDts8y2t89EvGDfgFY+HR0Ik8RiRVoHoMf+YJ6U2M3IBx/ywAX2i5fP5CDsEJy13qa6/tU7RdvVLUv2SF+1AON9OLjRtjpyg/8YG6mKXy5ej1OI3yXu1ToE125ij5OqXojYPx0kmgE4+4Ox4OMq0i40KhSA47gzSLDO2A3ehXCgUWP9kusdqjgQg0XKlsYT5caw2jlFls/GhvGxjWXAMUnOKokqboBijSm34pOM8Rfd6vZEnbypfjEeNN9sYdBnDZpn0trONb5exaKbhYkdoIzfZiBZpwswUj+mV1xXopLJcLkdcyqNCwScITHQ6nZFzQGqwIk3SZLVls1lot9sRZ4P6b3QhZQLTMwe0S4dz1FiMz9mo6Ma0JpD5l8/nIzRWLCcKKTO+7rSRY8lI3qBRQJltbJuMnNNMvU5I9aWUoo2+zzGCUHDGocMDHKcDUwxLiZmGY8RWXldGpFkmyYiTG0sAx9+popQazjluYWazlaLe8kEv2+hg10Sv14Nerwftdpucy51OZ2Q2EZdGjN6/KVDMVwA3tir+zjbWKUXJPZNB5W/G1dmZ84KZKR7K5sIFaDtRLBYjNiitVgv6/T60221ysLXbbWi1Wqwre6XUyFW6STVsNpuwsrJClgntI7hnE3Di6Y+VYX42Ay/pbRBuQGFenOJBhVMsFsk3hoJgw6Mz9dYP9U2Ph/1DQacmc0KXAwoayWsw2sSYtOFKpSLar0jg6K3ZbBbK5bLoJaNUKpE7HuldItsiRv8NBd2OjSqzRNPudrsROx2ELsDNdNGWjIsbhqFItw6CIGIXk8vloNvtwvr6OjmGcTw0Gg1yLusLTEqQY77UvJOe/sB6mOnq7c0Z0iLinghQcslMl+tbF7p7GjEzxcM9MWADTkoUnDpwxcUJqG63C2EYsjsebkDhxOKMGwuFgmjRz+14XAYCt1LBMlJHTHgsIlnV446HO/LEnY0pODlbA30ycxNLN9wz49rsF9AYkDPSLRQKo/7X03IR5FK+utW9/pt8Pg+Li4viLoLbGaLAk5QHp9CwPpw9E54I4G/0fPQ4ZvvjWKTaV1/IULtcPGng4rbbbXHnoT9bgX/jPER3OyZwLHDGwfpDb5ziMdsBwb2tpe8KpeNmCpzCoNKnvksLUGkhMq+K54QnF6Tx/NNje2GSMTaN+wQPj7ThhFc88wybUPJKNR2YRDl4xeKxHeEVz5zCK5V0wysMDw8eXvGcoJhHxTWPZfbw8IhiZuSCSUFx6XUbHMmJXxxbEp2bz7FV9PSSHm9J8WxxqEtOG21TKi9HIND/z323tS2Xr8tdBV66c2Wm0sL+SXIxy6Wv5yPV18ZGlFhKXJlsfSvF54gf2EYcYUHP02SC2drPhWaM7aCnrbctZz+ExBuKKIRkhjhz3Uw/zncbONMD8xvHanOZV0nLlsYFW+qeRQA4Ti806Zvr6+tQr9dhbW2NHIxoa8Cx3ihBjv+mXMKb8bjHobhJ4MI4QQM5TthS1E98aEwSJDobiQrHtM1+wu8cJJsDZOCZtlK6IOZQLpehVCqxv8nn86S7e6RZc2w4G7tPZ5GZ31HwcUJEeh4Cn9rg+tVWHomFh8ar5m/QNosSgsPhUHzHCu2kWq1WpMw43jgFsb6+LjISwzCM5I0PwTUaDVJZ4vw/fPgwaT/U6/VgfX1d7Ps4LDT9O8dIRLs3ibqP84MCZ3eklBrZJnL0e8zftR5px8wUjyS8bEDqptmB7XZ79IcSqBjHRk0EiHYY9SYLAgec9GiVbSXDDRAU1lQ40j5Nuxm0K7IpHmkXJwlcF6tuqry6ktUVv94GnDDg6N16Glxdut0uawCKK/0kgl7aSQ2HQ9aeTKflSgsK152EDhR8VHzOoFWvh1QfVE7m4gnfoaEErl5X6b0qfNFVzw9gwxCUGm9ok3fs2LHIezsAx9/WovpeGsN6ubnv5u5MT1NSPBhXemWXetcI43BlcqkPNYbTrJRS5zIHDd0ou5pGowH1eh3q9Tq7/e52u+LqGjvQ7MjBYEAOcIDjth6cYeQkOx5pwmK+pgcHfKtIMhhEYcAJZBR+lACj7FP0uknW77iDMxUP/s0J1FKpBKVSaezpZx2dTgfW1tbYukpHTNJLrOYxk/5dOsoZDAZQr9dFa3GqbVGIcPW0CQvse+rRvHK5PJp3lB0P99CevpighCruGKkxjGNfcjmFOx69XDifms0mWaZmswn1eh3uv/9+aLfbkfLqf5vAducWMdIuVj8VoeYF2hhScXGnzymeMAwhDMPYL6ZiXSSZxrnHSqvy8eSCCZHWjvXw2K6YZ8bgPJd9mvCKZ0Js1UDyCs/Dw2NekUrF41cFHh4eHtsXM7vjSeo3SPdAbZ7thmHIXtBhXNtOgLo41FlIFHT37NyZMYZTbC7be/X632YY5ctNLz9HLkBwTypguiYJxHZ5yvnHwry4+krEAYDj9wjc3cdgMGCdk3JxdIea0h0bVR8sK3d2LrHEzDS4b0l2rS70cOpeCe/0uLvXYrEIg8GAvE9sNBoQBAE553Q/hVy5KJIGzkOTdIBAohDe91J15J7wwPSluxOJlEORiPQ+k+jftvtcikxkI5tguOS8FyA6111o2luFmSmepC66kSDQbreh0WiMhbVaLeh0OqziceH1U+wq2+UoXuRzikd/O0TvfN1bM9ceUpklxYMDVVI8UrroBt9MG4WTdCnLKXisPyfIpecA0Bt5oVBg64QLA1PpcuUNgmB0oc4JA0zTjK9fUHOXtvl8nm1jrm9QgEhEi6SQhL/tKQYcBwsLC2P1CcNwROrg5hzHkETgmDEJD5g+RybR/5gIggCKxaLVazNXHlxwUUxUAIhc5mMdsS4UXBQPZT6BdeHGsD6OufpQ+dpIGFuJ1Cke9BTdbDYjLKZOpzPyPp0kfXOXgwiCDQ/VnB0PDu5ut0sODrQfQkadnoe0QwMAcaByNFVcwXOTHb9Jkw+VqFkfpG9TYVgHjq6OCtZUlljOXC435qlYB76/xCmebDbLtqH+hhCHuMIChbS00uQUngRdkUmr8bgsPAzT/zbD0AaISzeXy0UYWc1mc7RL4rxTY72kt4CoxdNwOIRWq0WWt9VqQavVgmazCc1mMxKOgpjzqO3CEuPK6qJEue/SIlM3E9HLp1PkqbIGQcCOccyXWqCekIonaWWxISk37CjAXY7U4ggEbsWAwE7l7Hi4IyZ9q5ukPbi4+o5CqqfNVoE7VqAmtGnfINFRpVUkd6SgG+dxuy1uxc5NWr2O0s6PE4y2xQ131GMTetiGcY/MXMJtyoezxcnlcjAcDiOKqdvtiopSH++S8teP5PS0JBMFipqv14U6veDKScXX/9bj2Y4NbWNfmneUnNEXkVy/STtv7u2ntB6zAaSUXODh4ZEepJXsk1ah6mFHKhVPWge6h4eHh8fkSKXi8fDw8JCwHXc706rTPLTNXCoevyPy8PDwoDEP8nFm5ALOX5ENEnlAYvS4AC8kKUgMsDg0bY45J8Wjfmu7JHaB9DvdtsP87kISoIBxKCqqZHNB5UEhl8uR7SRRTTlCiPkbE0h24FhtmG/ccYhtwTHA9PRsfc9dJlPjXLdRoWCj5EpML50wQYGzi1FKsSYMuod5qh30sphldukTrm3jzFkuXYnSjs6Gze8SsQBAfoJjEgLTVmFmiqderyeKh88TUDYzOi3XZpDJhUlUSM5JKDplTPIsgutApoSIzuHXoQtEjk4tKehMJgOFQgEKhULkyYVcLke6bgc4roDL5TJZL52FZNKpsQ0lWxK0p+JYbwsLC2Pf8Hf4RIQJFKZYLgpYV7O+2WwWSqWSqHgWFxcTLYKkODZbEPQeTSkRjCeVhxv/aKaA7vkRvV5vNF5M41LM02ZIyz2ZoJSCY8eOsXGQUUdRwLFPqProVGsKtkUdyhmJvcalKxlJ43iiGJSct3nMi3tiA+A461YqV9owM8XDCXEbqPdcEDqtkGpMm+aXKLKc54IgCEbCVKJTSzueuDslzBdhTiDdG600eTgBhzsdShHoxpZmXPyOhpMmsDzUTkDaPejpc23M2QAFQTB6n8YELihQeEp5UoqHe/cG61oqlURBw41R/W+qPEgl5tqYi++6K6fAGTdif3BemdEQ2absqIXVYDCARqNBlgkXL9SuHOB4O3CeOeL2ix7GKSaX+SyNb7TFMen9WEeOmo+LDG7R4CJD0obUKR5UAJJ9CfdKpWSzgeFSvpLhFyofzn2KlK8NkhChjjhsOxpp8uA3XfGYxzuU4tEHN+d2BXcVlOLRhYFkI8EpniAIoFQqRcoVBMct2Kn0+v2+aAPBHaPiSlvaVeIK1ibI9Pz0fCngjo9TEpgeN2bwbypfbieF7UQ9HIhzgnO343KEau6gsW79fh/q9bp13th2yVR9ANzcC1HxMC4VJilv27wEAFZ2mc9G6Pnqi5E40MdB2pTQXJILPDw8Ng82oZU2oeaRfsy14pmnyzQPDw8Pjw3MteLxK60TC36h4eERxTzOi7lWPB4eHh4nOuZxAT4zcsE8YlIOvxQeN55+iZx0RSMNSI4No7vsnyRfin0mXbpOGp60XyaFzabD/P+k5bAJGVvf2Vhv1G9sbC4bm5QzF5hWn3Bp2wgacYBt6tKHkygCl/6ZRb6bjdQpHqRuFovFSEPr9gCcnYn5ZosLdNothTAMIZvNsi7c9YfiTDo1GsLZ7EioMiH924yLtkzco206dZljiDWbTQjDkLQRQtueuAMZGV5LS0sRhpBOAadQKpWgUCiwRpnFYhEqlQpZFw42gQhAP9aG3znbCswXGXNcGbi6SAoU+7VQKLBCUyozV18c49Q4xHFK2dvgExicnchwOIR2uw3NZpO13QvDkM03qbAcDocQhiE5f/D9LK6d8vk8VCoVMW+q/bENOUaibXFk8/ItsVtd8o1bnq3EzBTPJJVFyrRJ38RO4BQE5ptkJYWdSwFtCjjjRqSimpNe5+BzA8tG/6aotzpdlLNxsNFckbJuCgQUltLOQxKonDK00TpzudzIyJQTFpiuSSl2obLbKLCcrZQ0qTlatK39JIHrwiCzpU1BsgUBGDek1dPQKdicYMQnTDgvBJziAeAVv54+9x0XixQFXHoocTgcktR8BDevbOPMNsa5cH0cSbs3bqxJedrCtgqp3PHgapPrBLSu5+InAbeaAICxiUWlLz3EZHscSlqRc8aNOAE4g0zdqwE3sdDOygxH41DuuEx6yRInLPWaIpaZm7z4AB33UBm+TkohDMPER5xYJ1PQ2HZouBuVFBNn7yTZ4ui2anEh7Z4lxSONU86zgx4Xn6fmHlJstVrkY4aZTAaq1apYJ6lfe70edDqdSNo2e5rBYADValU8EqbG2qS0cslI1PQYYYZLO1nuRdu07nYAUrjjMY9opp3+dsOkkyHOcUecnaSeJnd/5RJXCp/2vU3SXYhrmtNuh3mGbZ5vFVNLnw9c37n0S5y+nfRO1SXPtI0lz2rz8PDw8NhUzLXi2apVUVpwotffw8NjPjGzozbuotEGPIumPArr7DHqzFn3Ei3d2VCwXXAiY467rKTICTqxQHpyQWKrSGXimHjZbNbK7rMxq7h7i8FgwIajA0TpboSD3u9c3tQdm8T40e81qLsNvQ3MdCWfgPh7ia4bBAHrd04an7r36biw0Z456Pch1JGPNNZ0b+TSvSv1/IZtnOB4oOqjP59ClVc6jkUP+NI9JnfH5tq2ceYdfuM8YtscnkpzOa2L05kpnkajkSieLqzNgdztdkcXipygQffh02xwnADNZjM2A0dXlhRw4kp5c45JO50OO1D7/f4YE8wEd9GJxA1uMON7IpziyWazI5qxDqS4chfuw+EQut2uyByUXP5zAt7W/tz5OtZFenuIW4hgefL5PKkoJQYlXhZzdbJdGEuX0FgvChyZIgg2aOOdTgeazWYkHj4ngnOTAsV0xHpw4xMVCz6RYkJ3JkzVVRor3W4XVldXxTHMOSlGujsFF5mDCsaMh2QqSonaFnOSEk+yCN8MpM47NQCwigftDLgdj86amqbiQUHBsdokSqPNc7VtN0Sli4KSE9K6y3hOwOGuhZoEEhtOWg3qbDrJozYFaeeC4VyZOA/RLqxCrBMVjsKHK7PNroLqW5viwfgubDwTtnEv1cXGAkNmJxcmtbGkeKTnKgDkt3xs44UDJz8AjiueQqEw1haoJKndW5y8MS0qX07xYJy4fZd0B7wZmJnikSaWBJ36aQ4OXYhwq7pJlI4kFHGgS6tQs/NdFKFLmCT4OAVsa3/pOEiygcDdFCf4cMdjTk5d+dqEJsX40Y0fUTDrCj/uswd6ufT20ONKsPUbdWyij08pLpaZayez/jbEYZBxixxuEYNCXFpc6f1jCnOXxQhHAZeMLqU2khZkqGDMXbu+Q7O1oQRukcp9x92OTfFQcdOocBBzTS7w2P6Ic7SWJqR50s8L0t7HceDHwzi84vHY1thOwstjfuHH4Ti84kkx/CrJw8NjO8Irnm2KE1Vpnaj19vCYJ6TOZY7E6Mlms+wF/zRgu+TnLoX1i1M9nPu3CarO+mUi5atNsg/Ci23uEhUv6yn2mo1RJbUDkhUoCqdkT6OnzYGisWLZJbKJ7eKbqxPaJEljjctXJ25Qtl0uhBIbDZbqJ5d0JRYYFV9nmFK0Zt2WRiIXUJfjWAeJKIT/Toqkcc220lmKNuKObayZv9FJNZQcAOBtefR2tbVjmjAzxWNz/ieBG6jtdnvkiJCjv4ZhaGXYcODiYF5odGYCacQm48WVzsvRM5Hm2263x74j66ZcLrOChDOQQyBd1GSDoYNPTlBIaWI7DIfDSJ2wPBx9Fp+P4OpTrVZh9+7dZP4cnRrATilFBWyWC21EJKr2+vq66J260+lEnE1iG3DpYngYhmydODsf29jmKNEAG+YPvV4vYgbR6XRgdXUVDh8+DPfffz+ZbrPZFJ1c5vN5KJVKESGJTypQQBq1NCYAks1nGwaDQcQOEecpelGnUCqVxp4VMSF5+aZsvvC3SimoVquk41KUMVTfuixgtgozUzycYZgLcPKZwgAFuMSjn2Q3ZKO42uw2klC8pfLqK3rzOxq52exBJFCrKNxVSm++SLtOnAhxJz0aj0oKGg02zbyl8nBUU7PMVHmxLBwll1vk4PilvHfEeW5BUjxc30j9Io0XbgeNHgs479OYpm2xZypa/C0XT9+p2nZSVF0n3SWZuzt9N8/tcjmqtVku7tREqgvnRUPaGdpkz1YilYoHV4SmgkGtLlkOS0pAh7Q9pdJFgUoNDvxu2g3YjuiwHBK3H/M1v6OQptrCZcAppUgBmMvlWMNVjMe1A+4QTMWDQk9afaF7e87DQDabhW63yx4PSkJaMnpFAW/2HcDxYyRql4YW+5SS1XctVD1w5ZxUWXI7Ht3TAjUOJZsYDKMUT7fbhU6nQ+5O0KuHtADSd3jm8ZqL4rFhEvsVqp0AgByHuJvnxjB659DHkvlvblHBLUYwDjdesDyUzJuFMf204MkFHnOBNE4eCfNWXo/pgLuj8RiHVzweqYcX4h4e2wte8XikHn7VuPXwfeAxTXjF4zE38DsfD4/tgZmRC2YB6RI5Libh988i3aRpJimP7TJWYu7Y0rURG5K2D0cGkUgi+oWrC6swaZmlc/24facTHZL0gS3M5buNPUXBdV5yaU+CSRls04gTl+Cgh7v2aZJypRUzUzzlcjlRvEwmM+L9l0qlsbBWqwWtVgtKpRLJomm323D48GH2vR4AWQBJLCOKXWZLQ5+s0lsa0qTt9/sRdhSyVZI+todls9njcHRfyp4A4DiDrFAokO+66H9TcYvFIjtuCoXC6FmKOKw2GwqFAmmbgTRhLm2kU3OstiAIYG1tbYxNFwQbb/RwdiCYLubN0W7z+bxInZbS5sZwp9OBMAxhZWVlLN9mswnNZhPCMGQZh4VCAfL5PGu/QlHwkQ3HzVUMl2xQJlGErqxXM45kKtBut0e2RxRwrJl9x7EqdXDMTL1PqSc40orU0alRcJVKJahUKpHwINh4iZKjhWLHJoFtsEpveOi0Rr08mK6NOsuBUng4kSVqpy19jhKNhns2OxMKqHgoCjJONq5vCoWCSDNGuyWqTlL72nZgWC5zvNpW+LonBm7HE4Yh+zwE97SEbgxI5Y/pUYrHhULP7Th6vd6INq3/Bg1LJUNOpBBzlHWTQo156jZAJlzGtgSbPU1SSCYBqJi5BSGWiTIetj3+h4sNCvg9zYrGRCoVD+54OMWDK00TaNcyq4tQrmNR4XCKJwn0IyTuXSKbUasErmz9fp/dWWC60q6RUzy4i+KEU7FYHL1QSuWrP9bmqnh0uwmunXChQvWdi+KRbE3Q7oiCpPhxl8spniAIyNdRbVb+APxKHhccZr664uHqKb3fhHma7Yt9wj1t7WrHY9spcOWZ5Kidi2sznNYXC2aZ9bemqPJSpwh6uK1OaSOHpM5Xmx6XEjD49ywakpuUs0o7yW9cIU3IaZypJykrTlop7qz6VsKJcq5uwzTu5mw7jUmEfhJMMqeTLiKTzA+XOGlTHpPAs9o8UoHtJMC3I7aT0PPYeqRS8Xgh5AbfTvMH32ceHjM8aqP8VLlAuoALw3B0v0OdZc+Slmk7huAuHW2X27ajJSpd3aEjx6CxXThK5/HS/Y5EENDPsM189aMEia7L3X1INGOXvnEJT0L1lWjPVDtiG9nuyfL5PMtq49pRv8uKc2SmlBo5AW00GmO/QY/wHFsLiRnSuNDz1f/Gsc3d8bjOZ47cQYVx31zSdYVtPptjLQgCq6Nbl7sw6WoibZiZ4rn33nsTxcOLU2Q46UDWFMd8QrfgNqeQHGyKh4PLOx1c59tYeOik0fw2HA6h1WqRbu5RGFAX0BiOl/hmOMajhCZ+42iztoEuKQC8UOcmIDpg1MuFaaGXaK5M0nhAdpnZxhhPIi7oZAoqXyyzDmxfrh2QlsyNcRwPFGECiQkSc41bEB49ehRWV1fh9ttvH4vf7/ehXq9Du90m4+J4kJ4LoKjYw+GQJDPo5dXzoGBbTEyCuAs2DJMWkpKMwHnMKdFut8uOYZQHppmD7iA3bcpnZoonqY0JdhwlNHO5nLi6wk6zMWziDkoXZg0ArdRcGCf4OypdahLpTC0uz+FwyApFs2zcdy4sCV3ddnkaZ+dh/tu285PaX1p12yDtdvBvbhUqpYmLK27RwAkpiQmGu0nOFqfb7UIYhtBsNsfGFHrh5mxq9Lradjxmv0knBfMKFwEv7fA4xcONb739qN21tOjaSsxM8XAD3BXUQC4UCqCUEh9N0uNz4XHYKnHZLBIkZUiVSzpS0ZUPlV4chpKer6504iol8ziFy1tSstw7NHp9zHax2Xy4KEoqXxemkV4e8xs1hm1HqzbFI5VJWqhIChp3Q91uF1qt1lh83JlwOym9TlLdJKWTZHE06Y5GTz9umknHBOZh9iEuCqT2lRQPghpr+vtPaUIqyQUcpjXYPDw8PDy2DnOleDw8PGaDtK2IPbY3vOLxOKExjYtoDzu8YvPQ4RXPNoYXqPMH32ceJrbjmEityxyJESQxYXQabJwycWkmuXyU8ogTjpeQFFvFhQAgXSraSAIUY2vSPpXSiJO2q21G3PJS5JQkF99SmAu5wFZujg0msQIxnJs3OiNO/41++W9rYxfWovl/F8anjdqcZF5yjEFbnlzYJGPNhZRk69d5U04zUzx79+6dKD41AZFds76+ziqJHTt2iJO+WCyS7KVGowGrq6tkWfr9PvT7fWi1WrHKi2lLAwPZLFTcTCYDlUoFdu/ePfYdaeU7duxgbSeQu2/zaEspd0kJB0HA2phgPSmGDj4HYD51oZdHUpRo++KqdKTv5m/QWaVZHvybG0vSWAMAsp3QRo1rB+xbjtXW7Xah2WyOjDp1cMworOP6+jocPXqUDD9y5AgcPXoUDh06NNb3QXDctEFi2XHhAMcdz+rpKrXhodvGOJQ8wqOdlEkXRoenHBOsWCzCwsICu7il5AQ+g9FsNqHRaETStDFq9bpQdZKcKiuloN1us3MSneuasiCfz0Mul4NisZjYY/+sMDPFw73Z4gqq85AO2u/3yUGFjSzZQFQqlbEBh8Ks3++zne+6okhC+5RWk0ptuJo3DTZRMGFdqXLYdjwcbKtIbhdmS1M3/uV+Y9sJUAraVblIYRIFWYqLtH5OMVHtLwlxgHEFzLUHLoRMxWNb4FBvO2E89ApiGuOigJfo3XqdKVDUf4oeL6VNAYWuOaYkLwAYj3tmAPvNfBcKd36dTkcskw1UH0kLRD1/ykQFxwk1NzDdE8qANOmzCFIDYcPjswAmsJEpi3EML5VKkU7GASV5O5DsRGxC01X5cLsecyWDigcFAlcel8E2zS26PgG4ySW5dneBPsEmVTpcuno8yW6GezCPO1Z0satw6Tv9LSAX6Ls6ytMF2vHgH9M2RPK0oJfbVoakR20csC3j2kpJdlL6Y4Y6sP0mMcbklLQ0xvT8JWNxCpMsQGeNVN7xTCMNW1xKeCXZsUj5zsLILU4YFy7VeRIjOpfVry3MJTxtSFrXSdphM8/04+SVZLEz6byblZyYpfxxjTetdkjbnErXwZ/HXGLeLja3A9ImSDw84sArHo+J4YXg9oDvR4/Nglc8Hh4eHv8//O59c+AVj4fHCQC/m/FIE2ZGLrj//vsTxUMWBsfYKhQKEbsWBLJ9Op0OuXLJZrOwsLAQeXJBKQVLS0ssBbzVakGr1WLT1V2amwwTG0tpYWGBZNpheRcXFyP1xTJI7D7k9XPsQs4Nuwt1vNfrsRRipKrq4UEQQKlUEu14uPIgcrncqH9MYohkGIkMJomNhDYaOorFIpTLZZGyXq1WScYQlovyvIwssVKpxJoM4FtLFNrt9sicwPU5ATQXaDabcOjQIfI3a2trUK/Xyac08GkE6qmTTCbD2pgg8EkFk04tPeOgywGJ7Umx02wsLt02iWIeZrNZKJfLY2HY3hxjFsHRngFkKr3NrILzLK73l5kuUs056vhWYmaKp16vJ4oXBMHIRoWyX0HhRQ2sXq8H9Xp9ZOdgQn/Lx+yIcrksGvXhgOQmCQ5MStBIiqdUKkG1WiUHMyrKxcXFse+ocLCuVDwcbNIk4RSPJAwwf04YcFRV7DvO4BXrJCkQzh5BortjPOkhOGpSFwoFKBQKUCqVyAUJKlOqb7Hter1epFxYFk6gopE0FRdgw4CUG2scsJ/DMIT19XXyN61WC8IwJMskUbczmQz0ej3IZrMkVRuAfifIZYFDLWL0fLnHDl1MCTiaMc5zM99sNgvdbtf6cCMaUHNl5srCUap1ezJOKXG2dfp7PCeM4uEGoQ3YeLlcjuWtc52vWwZTcfUHk7hOoqCvrCTOfJLzYe61VQyjhLWNsu1inGezheHqIwkMPU9zx2NTwPrOUCqTtNOS0ozbDkqp0aTldjzSmMH41ELEZs9EGVwikj5ah2ly85IzytbjS6txqVxJ7010OxQubJJ0bXlSSsk1T66tbHHi1slFeU/SVrPCzBTPJHBdDbl8c43PdY65mpgkX5vws4WbZXWZ6HHtbVxtcWyYlf2KHs4pOuq3SW1FkqStC5Ck7TCLS25XxUAtbFyNdV3GzCS2cdS3zRqnLn0K4NYOs1AEk8y5zUa69l8pgWe2eHh4eMwOXvEQSNvqwMPDw2M7YWZHbZNcZumX2Do41+0I3OJyZ+hBELBn59K5+7QgsXc433LoR0sHkifQ668JvAiV7h9cjjOpsnLn31heilxg9kncOxxMmzuvtvk+s92nUONJZ9lx/TYcDq3HZWZcjMMxn/CuhSNaDIfDsUtjHZJ3atcjM/MI19bnSABA8ggFvNzW71htx1GYL8dIlMgF/X5f7DskC7ncN7q2A5ZJGm94nyvdTydhmboe0acJM1M8JhMrDgaDwcj9uw5knnEspeFwCMViEfL5PCssms0mOahKpRIsLCyQ5cHBxKULcFzpUVRUCeVyGXbs2EEyp5RS0O124c477xz7jqynI0eOsBRXdCRKtVMQbHjppi7Oy+Uy7Nq1i1XEuVwOlpaWyEGNwmfnzp2kx2Ck9VLAsnCTFpmOVL44JigMBoOR80sKYRiO2JAmut0uS6fGuJJQoIQbKhTOyzGy7ExnnQh0dFupVCJttbKyAq1WKzLmsN2lpwJQ0ZrlzeVyUKvVoFKpRDw2Yx337t0LpVKJZYXefffdsLa2NpY3LqjW1tbIOLlcDsrlMpx66qlkvuhBulAoRBReo9GAdrsNnU6HVd6ckkaFbj4lgHEqlQorJ6rVKhQKBahWq2Q49r1ZpsFgAPfdd9+o7ynggoMrbz6fj8gQlAFpVECp2/HogyHuKhTguJLgFI9OPzS/J8WkDBvOYzHWl9rx6N6ETWD9ucGKq1Qb84+KZ9vxSCw9mxKWGDhcWBDQrvEBjq8WufLquwBqZ2Jj8NkYZpy9BipDCiiccNVuQqf2UzRivV56ni6MKgp6+1I7mjg7HnNuSzJC3/FQ6Waz2RHl3RS4SDnnlAvuKqV5H3fHY7YT9RtU/Jys4E5yXJGUDLEVSJ3iwaMIarK4THZbY8elCOvpzoqJQikeFJgA49vwIAhGk4o7jtEFqrQTwLT0fM1HwMyy6mU2oR816PlydgZm2i6KhysXJ+RtNG7uCMpVWEu/MRc4+qJJWtlK9kx6W0qGiFxcl+9c+3K7Z/0IiVuQ6H3gyn7T06bSREFvLjpwp5/L5dj5Lh33SYsczJuCfgRKpcvJLmmR48IyleaNLe5WwZML5ghbPXi2mu231flvFra6nz3mC/M4L7zi8dh2mMeJ6OFxIsErnjmEXxHLiNM+vi23Dr7tT1x4xZMC+BW6h0d64HKHPG2caEp4ZuSCWQvTrRLWW5Evx9BLCjMudbFOfTcvyqVyzqKdpDrPsl+Spp20j2w2NzZmJ9efUpqISRmeEkuM+3eS8W0biy5hXLqTKgGX+K5zbpL8XNtoKzAzxXPkyJFE8XSbmVqtNhaGbBG0xTGB8STKI+f8T3Kdj3E4iitnA4GwUW4xb4pOHQQBSyvPZrOsI1XJWA0AoNPpkJNMKQWVSkXk/6+srJDfy+UyVKtVqNVqEQosOjvlbD2QksvZzEiTOQxD1i4GYJwhaALpr6Yn9CAIYG1tDTqdDlmmTCYDO3fuFA2PORaY5GwWvUSvrq6SNk+ZTAYKhQI5jg8dOgSNRoMcp4PBAA4dOiTazRSLRTjrrLMiigFt47i+6Xa70Ov1InZ3iHw+D8vLyyRlfXFxkZwfxWIRSqUSnHbaaeSYGQ6H0G63IQzDyBMS+J2zswqCDTs2CihDFhYWxvpVKTWy6eLGsG7HQ43XlZUVqNfrkXINBoMxw2GqvJytGoZR3vXT6JUaMTPFQxk2ugDtAiQX+pIRoq2xOZqktNLRaaC2lT4X32YvwNnb2NK1UY85cDY16JafE9aS8SPaZnCTRxLShUJBVDwuFGQKtr6VvEWjESf3ZIVEE7d95xY5uNDodrvkOMcFEFXeZrM5Ujw6sO06nQ5pP6QvVEzjSFyUSU9soL0MN8a5uNi2VDx8kqJarZIGpL1eD7rdLmvnhsaYVNpYV27xSr1hMxwOoVAojN5polAul8XFFbaBaUSK7SeZikjeTbA+ZvhmeGNJilQetdm26zY7AFc7AT3NSbGZW1nXvJLUzXaEY1MA0rMREuLYIszqGI+z5Ym72HC1V7IdEUn9QLnrwfY3+wB/L9kGIbi3bWzzzWbTJCl+TjlwhtV6uaS+meSIlFuc2spjc9/ElWuSMT2P90OpfBYBMc17DJdw6luSM2IqrktdkpzJJqlnkkE+TWE/aZmTKCCXdogz3lz7VurTtAqMODu4JPPDtR3wu+tcTYIkfRd3Lk8LSeZNWpHOfdgcYp463WMc87jr9UgG30fpgFc8DkibUklCYtgMbHX+W420jZM4SGPfbTYzciuR1nLNCl7xbCOcaIPXw8NjPuEVT4rhFcnkSONK3sPjRMfMyAUc9dIGnVpsUmSRMSJRIZG5I9m3cHmathyIMAxH9EouXYQZLl2Q4u/7/T77vhBSQ83v6MGYohHrXqI5ejJXJt0OyrTnwL+LxSLLRBoOh3D06NExmw7dFqRUKrGX1BIbMQxDqNfrEfaUUgpWV1chDEOyfmifwvUttiPV/q1WS6S34niSKOIcTZ6rJ74jE4YhSafGJxUoltqRI0eg2WyydOq1tTVoNBpkvgAbtjyFQiEynrvdLrRaLZKKrZSCdrtNjlPEvn37oFarReZtEARQq9XYuZzNZlkKeLfbhSNHjsCxY8cibynhG0uc3V21WoU9e/aQ/YBMOrPvlFIjuj9Hp8a0OGp/p9OBVqsFjUYj8jaRzRyAG8NYVmqs2cxAthKpVjyUEJfcjgPYO9GcWBgH3/eggI9NSbYZmA6XLwdUHv1+P8KiwbpQD0fhd46aqdtmUOXh6oI2GxJttFAoiIpnZWUlYoNVq9VG9g2coJFsajqdDhw7dmzsjRVso0OHDkG73SbLWiwWoVarsY93YX2ph+tarRb7OJduT8MpnnK5HElXf2iMagdUOpwdT7fbhXq9Tj7qtrKyAu12m3wITikF9Xo9YmyJQCNac370+/2RsKTiokJDuxoKS0tLsLCwMDYWcXxyjwpimTkj0Ha7DUePHoUjR47A6urqWBi+x8MpwsFgMHrsUIdOiTbteBClUomd551OB/r9PmvnFoYhtNttaDQaY2PKZsOD45h7iA+Ne7lxmDalAzCHR21pbEQPjzg40cawueLeKjqyR3owsx3PrAfOZvHkp2l7sRVstEkm+TzaoEyC7VinJJhlO8zKfi4ppmXHM63yupbHJTzNC5y52/F4eHh4eMw3Uue5QFplu2jwpK5MNgObaf3vGt9Mh7v/kQgUFCRPA9y9lM3VSRIXNi7uXKg0uH9TaXOEEipfF3cuLmVO44UxB4lMAZDc07nLTt1WLglSv7v+Nkm54sBGXkorZqZ4JnFOZ9tuurjviDM4XI+jpIE+q463KYGkaVLMNQC7jyxX5cGF2fy8UT7I9HAzDY6AgfWU3rPHcEzfLC/n+wwARs5QqfLi/znv0siQoqCTRqQ2jqN4gmCypw5saceZPxRTMilsi0zOD5xeFq7vuEWD5PNOCqPy5vKlvs+bYrFhZopn7969ieP2ej3S1X2pVIJ8Pg+VSoVka/V6PWg0GiNWi4lsNgvVajXCRNKZdCaQfYPPNFADq9vtjlhILrsBVyBjxXweot/vj+rKeTCWaMRBEMDy8jL5HEC5XIalpSVS8SDL6Ec/+hFZT6Tj1mq1SHu2Wq0RnZQCunWnWIcAG56Xjxw5EpncSim47777SJf8mUwGqtUqS1c366ZjMBiMaMLUWFJKjdhJ1I4HqcImuw8ZdBwlFxmL6BnbBPY7xWobDoeQz+dZaj731IW0mMO5gR6bqXbI5XKi0K1Wq7C4uEj2LcdAxbQl5iaHYrEoOutcWlqCWq1GMsFwvrfb7cjpS6fTgbW1tQiLDrGwsADFYhEWFxfJvPH5gkqlEhnD0mIik8lAqVRin3LgvG3rC4607Y5npni4Jw1s0Acwd0zBuQjX3bPb7G24IyYTSE3Wdwkm9N2DdFRIwfYbnAg68PkBqh56XTiFiooJ+f96GvgchamcTXo31b7SSh1/3+v1yDKjMuXamHJ1j3lxNiSZTEZ0jy8d72Ga3GICnxnQ6d06sI0pWzRUANLOjhPIOpWeE/Rmnyul2B2uC2ynDFI4lkc3g9DbS/KYnfQ4Ecc9N5b0XT03P8x80aau2+2ydGlcGEtKnJqTOJ8lz+4SbZ9rf+wb/DtN8OSCEwBxzqq3I06UenpsLvy4Sg6veE4AbOZqJ22TMW3lORGxXfsgbbuIeYJXPB4ecwQv7Dy2A7zi8fDYZGzXHcB2h1f604NXPB4eHh6bBK+8NuAVj8emwa/0PTw8ALzi8ZhznIgryHmss190eOiYmeKZdKDN4+Ty8PDw8LAjUH4p4uHh4eGxifBHbR4eHh4emwqveDw8PDw8NhVe8Xh4eHh4bCq84vHw8PDw2FR4xePh4eHhsanwisfDw8PDY1PhFY+Hh4eHx6bCKx4PDw8Pj02FVzweHh4eHpuK/w8hh72yzJgyXQAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "code",
-      "execution_count": 16,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "id": "jf5T1FVB-TiV",
-        "outputId": "38af7adb-77cf-44ed-f766-211a85a81dc2"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stderr",
-          "text": [
-            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:5: UserWarning: `Model.fit_generator` is deprecated and will be removed in a future version. Please use `Model.fit`, which supports generators.\n",
-            "  \"\"\"\n"
-          ]
-        },
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Epoch 1/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 8.1056 - accuracy: 0.4156 - val_loss: 7.8875 - val_accuracy: 0.4478\n",
-            "Epoch 2/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.4475 - accuracy: 0.4750 - val_loss: 6.3213 - val_accuracy: 0.4453\n",
-            "Epoch 3/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.2408 - accuracy: 0.4906 - val_loss: 7.1913 - val_accuracy: 0.3966\n",
-            "Epoch 4/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.6744 - accuracy: 0.4563 - val_loss: 5.8871 - val_accuracy: 0.4669\n",
-            "Epoch 5/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.2916 - accuracy: 0.4688 - val_loss: 6.7922 - val_accuracy: 0.4809\n",
-            "Epoch 6/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.1353 - accuracy: 0.4437 - val_loss: 6.5795 - val_accuracy: 0.4519\n",
-            "Epoch 7/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.0316 - accuracy: 0.4344 - val_loss: 7.9414 - val_accuracy: 0.4663\n",
-            "Epoch 8/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 8.8512 - accuracy: 0.4625 - val_loss: 8.8720 - val_accuracy: 0.4228\n",
-            "Epoch 9/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.9731 - accuracy: 0.4875 - val_loss: 7.9005 - val_accuracy: 0.4747\n",
-            "Epoch 10/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.3313 - accuracy: 0.4844 - val_loss: 7.4282 - val_accuracy: 0.4553\n",
-            "Epoch 11/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.3504 - accuracy: 0.4656 - val_loss: 7.0180 - val_accuracy: 0.4528\n",
-            "Epoch 12/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.8299 - accuracy: 0.5031 - val_loss: 7.5594 - val_accuracy: 0.4822\n",
-            "Epoch 13/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 8.2583 - accuracy: 0.4281 - val_loss: 8.1744 - val_accuracy: 0.4647\n",
-            "Epoch 14/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.0753 - accuracy: 0.5312 - val_loss: 6.6338 - val_accuracy: 0.4741\n",
-            "Epoch 15/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.1979 - accuracy: 0.4969 - val_loss: 7.4161 - val_accuracy: 0.4775\n",
-            "Epoch 16/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.8864 - accuracy: 0.4281 - val_loss: 8.4044 - val_accuracy: 0.4409\n",
-            "Epoch 17/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.7387 - accuracy: 0.4688 - val_loss: 8.0395 - val_accuracy: 0.4503\n",
-            "Epoch 18/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.6596 - accuracy: 0.5156 - val_loss: 6.6571 - val_accuracy: 0.4659\n",
-            "Epoch 19/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.9556 - accuracy: 0.4187 - val_loss: 9.1266 - val_accuracy: 0.4628\n",
-            "Epoch 20/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.0590 - accuracy: 0.4625 - val_loss: 6.9087 - val_accuracy: 0.4953\n",
-            "Epoch 21/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.8635 - accuracy: 0.4875 - val_loss: 6.8104 - val_accuracy: 0.4950\n",
-            "Epoch 22/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.6949 - accuracy: 0.5469 - val_loss: 7.1396 - val_accuracy: 0.4691\n",
-            "Epoch 23/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.5901 - accuracy: 0.4969 - val_loss: 6.4095 - val_accuracy: 0.5088\n",
-            "Epoch 24/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.1198 - accuracy: 0.5063 - val_loss: 6.7457 - val_accuracy: 0.4691\n",
-            "Epoch 25/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.6809 - accuracy: 0.4656 - val_loss: 7.4057 - val_accuracy: 0.4809\n",
-            "Epoch 26/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.5226 - accuracy: 0.5063 - val_loss: 7.3888 - val_accuracy: 0.4747\n",
-            "Epoch 27/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.8669 - accuracy: 0.4563 - val_loss: 7.2597 - val_accuracy: 0.4797\n",
-            "Epoch 28/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 8.1516 - accuracy: 0.4500 - val_loss: 7.5890 - val_accuracy: 0.4466\n",
-            "Epoch 29/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.3367 - accuracy: 0.4594 - val_loss: 6.4429 - val_accuracy: 0.4881\n",
-            "Epoch 30/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.5459 - accuracy: 0.4875 - val_loss: 9.6295 - val_accuracy: 0.4359\n",
-            "Epoch 31/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.7934 - accuracy: 0.4719 - val_loss: 7.2968 - val_accuracy: 0.4969\n",
-            "Epoch 32/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.3809 - accuracy: 0.5281 - val_loss: 6.7336 - val_accuracy: 0.5097\n",
-            "Epoch 33/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.7559 - accuracy: 0.5094 - val_loss: 6.8002 - val_accuracy: 0.4619\n",
-            "Epoch 34/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.0236 - accuracy: 0.4595 - val_loss: 7.1237 - val_accuracy: 0.4850\n",
-            "Epoch 35/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.4091 - accuracy: 0.5156 - val_loss: 7.7481 - val_accuracy: 0.4663\n",
-            "Epoch 36/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 8.3681 - accuracy: 0.4563 - val_loss: 7.6227 - val_accuracy: 0.4466\n",
-            "Epoch 37/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.9909 - accuracy: 0.4875 - val_loss: 7.3239 - val_accuracy: 0.4719\n",
-            "Epoch 38/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.6798 - accuracy: 0.5375 - val_loss: 6.5433 - val_accuracy: 0.5109\n",
-            "Epoch 39/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.1996 - accuracy: 0.4781 - val_loss: 6.2904 - val_accuracy: 0.5147\n",
-            "Epoch 40/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.8176 - accuracy: 0.4906 - val_loss: 6.8694 - val_accuracy: 0.4938\n",
-            "Epoch 41/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.1092 - accuracy: 0.5469 - val_loss: 7.3126 - val_accuracy: 0.4859\n",
-            "Epoch 42/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.4869 - accuracy: 0.5312 - val_loss: 9.9454 - val_accuracy: 0.3959\n",
-            "Epoch 43/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.4938 - accuracy: 0.5094 - val_loss: 7.7727 - val_accuracy: 0.4691\n",
-            "Epoch 44/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.7890 - accuracy: 0.5156 - val_loss: 9.2011 - val_accuracy: 0.4197\n",
-            "Epoch 45/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.3371 - accuracy: 0.5312 - val_loss: 6.4988 - val_accuracy: 0.5216\n",
-            "Epoch 46/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.9703 - accuracy: 0.5406 - val_loss: 7.2411 - val_accuracy: 0.5072\n",
-            "Epoch 47/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.5787 - accuracy: 0.4969 - val_loss: 7.9578 - val_accuracy: 0.4994\n",
-            "Epoch 48/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.2482 - accuracy: 0.5312 - val_loss: 6.9829 - val_accuracy: 0.4725\n",
-            "Epoch 49/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.3426 - accuracy: 0.5219 - val_loss: 6.7548 - val_accuracy: 0.4919\n",
-            "Epoch 50/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.3673 - accuracy: 0.5500 - val_loss: 7.6600 - val_accuracy: 0.4584\n",
-            "Epoch 51/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.5038 - accuracy: 0.5125 - val_loss: 7.4011 - val_accuracy: 0.4963\n",
-            "Epoch 52/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.5891 - accuracy: 0.5031 - val_loss: 7.7083 - val_accuracy: 0.4891\n",
-            "Epoch 53/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.8615 - accuracy: 0.5125 - val_loss: 7.3546 - val_accuracy: 0.5050\n",
-            "Epoch 54/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.3653 - accuracy: 0.5969 - val_loss: 7.0403 - val_accuracy: 0.5081\n",
-            "Epoch 55/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.2058 - accuracy: 0.4969 - val_loss: 9.1315 - val_accuracy: 0.4722\n",
-            "Epoch 56/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.4089 - accuracy: 0.4790 - val_loss: 8.8244 - val_accuracy: 0.4491\n",
-            "Epoch 57/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.0040 - accuracy: 0.5406 - val_loss: 8.0022 - val_accuracy: 0.4575\n",
-            "Epoch 58/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.1708 - accuracy: 0.5938 - val_loss: 7.1880 - val_accuracy: 0.5019\n",
-            "Epoch 59/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.9561 - accuracy: 0.5437 - val_loss: 6.8600 - val_accuracy: 0.4966\n",
-            "Epoch 60/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.2305 - accuracy: 0.5531 - val_loss: 8.8512 - val_accuracy: 0.4684\n",
-            "Epoch 61/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 8.2632 - accuracy: 0.4656 - val_loss: 8.9296 - val_accuracy: 0.4816\n",
-            "Epoch 62/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 9.9979 - accuracy: 0.4250 - val_loss: 6.7132 - val_accuracy: 0.4666\n",
-            "Epoch 63/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.9570 - accuracy: 0.5219 - val_loss: 9.0777 - val_accuracy: 0.4512\n",
-            "Epoch 64/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.4719 - accuracy: 0.5000 - val_loss: 7.4951 - val_accuracy: 0.5128\n",
-            "Epoch 65/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 8.0531 - accuracy: 0.4875 - val_loss: 7.9659 - val_accuracy: 0.4569\n",
-            "Epoch 66/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.6945 - accuracy: 0.5437 - val_loss: 7.6143 - val_accuracy: 0.4734\n",
-            "Epoch 67/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.6462 - accuracy: 0.5406 - val_loss: 6.7381 - val_accuracy: 0.5091\n",
-            "Epoch 68/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.3091 - accuracy: 0.5000 - val_loss: 6.4323 - val_accuracy: 0.5141\n",
-            "Epoch 69/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.9034 - accuracy: 0.5250 - val_loss: 9.6998 - val_accuracy: 0.4475\n",
-            "Epoch 70/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.6506 - accuracy: 0.4625 - val_loss: 7.3498 - val_accuracy: 0.4881\n",
-            "Epoch 71/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.4081 - accuracy: 0.4875 - val_loss: 8.5982 - val_accuracy: 0.4950\n",
-            "Epoch 72/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.5710 - accuracy: 0.5156 - val_loss: 6.6530 - val_accuracy: 0.5228\n",
-            "Epoch 73/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.5348 - accuracy: 0.4750 - val_loss: 6.8323 - val_accuracy: 0.5206\n",
-            "Epoch 74/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.2703 - accuracy: 0.5500 - val_loss: 6.8462 - val_accuracy: 0.5106\n",
-            "Epoch 75/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.4566 - accuracy: 0.5594 - val_loss: 6.8057 - val_accuracy: 0.5025\n",
-            "Epoch 76/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.7350 - accuracy: 0.5594 - val_loss: 7.0277 - val_accuracy: 0.4925\n",
-            "Epoch 77/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.6930 - accuracy: 0.5406 - val_loss: 7.7416 - val_accuracy: 0.4772\n",
-            "Epoch 78/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.6265 - accuracy: 0.5312 - val_loss: 6.8387 - val_accuracy: 0.5006\n",
-            "Epoch 79/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.2269 - accuracy: 0.5656 - val_loss: 7.2295 - val_accuracy: 0.4888\n",
-            "Epoch 80/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.3453 - accuracy: 0.5219 - val_loss: 7.0789 - val_accuracy: 0.4947\n",
-            "Epoch 81/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.0900 - accuracy: 0.5125 - val_loss: 7.7817 - val_accuracy: 0.4603\n",
-            "Epoch 82/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.7917 - accuracy: 0.5562 - val_loss: 7.0757 - val_accuracy: 0.4787\n",
-            "Epoch 83/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.7096 - accuracy: 0.5719 - val_loss: 6.8914 - val_accuracy: 0.5206\n",
-            "Epoch 84/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.2548 - accuracy: 0.4812 - val_loss: 8.3960 - val_accuracy: 0.4675\n",
-            "Epoch 85/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.1557 - accuracy: 0.5656 - val_loss: 7.2474 - val_accuracy: 0.5059\n",
-            "Epoch 86/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.7563 - accuracy: 0.5031 - val_loss: 7.8843 - val_accuracy: 0.5069\n",
-            "Epoch 87/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.5345 - accuracy: 0.5094 - val_loss: 7.7368 - val_accuracy: 0.4856\n",
-            "Epoch 88/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.6363 - accuracy: 0.4938 - val_loss: 10.3155 - val_accuracy: 0.4547\n",
-            "Epoch 89/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.9829 - accuracy: 0.4875 - val_loss: 7.9836 - val_accuracy: 0.4947\n",
-            "Epoch 90/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.0950 - accuracy: 0.4812 - val_loss: 7.1366 - val_accuracy: 0.5222\n",
-            "Epoch 91/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.4104 - accuracy: 0.5219 - val_loss: 7.1916 - val_accuracy: 0.5013\n",
-            "Epoch 92/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.9091 - accuracy: 0.5500 - val_loss: 7.7213 - val_accuracy: 0.5016\n",
-            "Epoch 93/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.8562 - accuracy: 0.5031 - val_loss: 7.0803 - val_accuracy: 0.4916\n",
-            "Epoch 94/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.6072 - accuracy: 0.5562 - val_loss: 8.9180 - val_accuracy: 0.4800\n",
-            "Epoch 95/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.9547 - accuracy: 0.5656 - val_loss: 6.9888 - val_accuracy: 0.4944\n",
-            "Epoch 96/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 7.0120 - accuracy: 0.5625 - val_loss: 7.4535 - val_accuracy: 0.4884\n",
-            "Epoch 97/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.9768 - accuracy: 0.5781 - val_loss: 7.0183 - val_accuracy: 0.5119\n",
-            "Epoch 98/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 5.5473 - accuracy: 0.5625 - val_loss: 8.0225 - val_accuracy: 0.4944\n",
-            "Epoch 99/100\n",
-            "10/10 [==============================] - 13s 1s/step - loss: 6.7853 - accuracy: 0.5094 - val_loss: 9.1492 - val_accuracy: 0.4688\n",
-            "Epoch 100/100\n",
-            "10/10 [==============================] - 14s 2s/step - loss: 7.8035 - accuracy: 0.5094 - val_loss: 8.1685 - val_accuracy: 0.4737\n"
-          ]
-        }
-      ],
-      "source": [
-        "hist = model.fit_generator(train_data, \n",
-        "                           steps_per_epoch= 10, \n",
-        "                           epochs= 100, \n",
-        "                           validation_data= val_data, \n",
-        "                           validation_steps= 10)"
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "t_img, label = next(train_data)\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "def plotImages(img_arr, label):\n",
+    "    count = 0\n",
+    "    for im, l in zip(img_arr, label):\n",
+    "        plt.imshow(im, cmap='gray')\n",
+    "        plt.title(f\"Label: {l}, Shape: {im.shape}\")\n",
+    "        plt.axis('off')\n",
+    "        plt.show()\n",
+    "        \n",
+    "        count += 1\n",
+    "        if count == 10:\n",
+    "            break\n",
+    "\n",
+    "plotImages(t_img, label)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "N5JOFZkP6cET"
+   },
+   "source": [
+    "# **Using MobileNet for its pre-trained weights**\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "1OeNB5eR9wgh"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/mobilenet/mobilenet_1_0_224_tf_no_top.h5\n",
+      "\u001b[1m17225924/17225924\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 0us/step\n"
+     ]
+    }
+   ],
+   "source": [
+    "base_model = MobileNet( input_shape=(224,224,3), include_top= False )\n",
+    "\n",
+    "for layer in base_model.layers:\n",
+    "  layer.trainable = False\n",
+    "\n",
+    "x = Flatten()(base_model.output)\n",
+    "x = Dense(units=7 , activation='softmax' )(x)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "bPW8bM8P7Llo"
+   },
+   "source": [
+    "### **Creating our model**\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {
+    "id": "bO4oE16l9ypB"
+   },
+   "outputs": [],
+   "source": [
+    "model = Model(base_model.input, x)\n",
+    "model.compile(optimizer='adam', loss= categorical_crossentropy , metrics=['accuracy']  )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "GWeObdWE770n"
+   },
+   "source": [
+    "# **Training the model**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/"
     },
+    "id": "jf5T1FVB-TiV",
+    "outputId": "38af7adb-77cf-44ed-f766-211a85a81dc2"
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "source": [
-        "#**Saving the built Model**"
-      ],
-      "metadata": {
-        "id": "ffu48A4gAp2t"
-      }
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/100\n"
+     ]
     },
     {
-      "cell_type": "code",
-      "execution_count": 17,
-      "metadata": {
-        "id": "4caHqjnokbr6"
-      },
-      "outputs": [],
-      "source": [
-        "# Save the model in h5 format \n",
-        "model.save('final_model.h5')"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\priyu\\AppData\\Roaming\\Python\\Python312\\site-packages\\keras\\src\\trainers\\data_adapters\\py_dataset_adapter.py:122: UserWarning: Your `PyDataset` class should call `super().__init__(**kwargs)` in its constructor. `**kwargs` can include `workers`, `use_multiprocessing`, `max_queue_size`. Do not pass these arguments to `fit()`, as they will be ignored.\n",
+      "  self._warn_if_super_not_called()\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m26s\u001b[0m 2s/step - accuracy: 0.1886 - loss: 16.2656 - val_accuracy: 0.3031 - val_loss: 13.7088\n",
+      "Epoch 2/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 1s/step - accuracy: 0.2907 - loss: 12.3063 - val_accuracy: 0.4250 - val_loss: 9.8158\n",
+      "Epoch 3/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 1s/step - accuracy: 0.3594 - loss: 9.3597 - val_accuracy: 0.4031 - val_loss: 6.8967\n",
+      "Epoch 4/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 1s/step - accuracy: 0.3894 - loss: 7.9540 - val_accuracy: 0.4750 - val_loss: 4.6502\n",
+      "Epoch 5/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4589 - loss: 5.0060 - val_accuracy: 0.3875 - val_loss: 5.1902\n",
+      "Epoch 6/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 1s/step - accuracy: 0.3893 - loss: 5.9849 - val_accuracy: 0.4031 - val_loss: 4.8992\n",
+      "Epoch 7/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 1s/step - accuracy: 0.3337 - loss: 5.8031 - val_accuracy: 0.3594 - val_loss: 5.0515\n",
+      "Epoch 8/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.3816 - loss: 5.2860 - val_accuracy: 0.4375 - val_loss: 4.9165\n",
+      "Epoch 9/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 1s/step - accuracy: 0.3857 - loss: 5.2625 - val_accuracy: 0.4094 - val_loss: 4.4399\n",
+      "Epoch 10/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4648 - loss: 4.7002 - val_accuracy: 0.4406 - val_loss: 4.5205\n",
+      "Epoch 11/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.3941 - loss: 5.3332 - val_accuracy: 0.4906 - val_loss: 5.5607\n",
+      "Epoch 12/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 1s/step - accuracy: 0.4041 - loss: 7.2163 - val_accuracy: 0.4281 - val_loss: 5.3489\n",
+      "Epoch 13/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 1s/step - accuracy: 0.4334 - loss: 5.5002 - val_accuracy: 0.3812 - val_loss: 5.3390\n",
+      "Epoch 14/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4992 - loss: 4.8536 - val_accuracy: 0.3969 - val_loss: 5.4791\n",
+      "Epoch 15/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 1s/step - accuracy: 0.4858 - loss: 5.3094 - val_accuracy: 0.4031 - val_loss: 5.5209\n",
+      "Epoch 16/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m14s\u001b[0m 1s/step - accuracy: 0.4323 - loss: 4.8619 - val_accuracy: 0.4469 - val_loss: 5.8223\n",
+      "Epoch 17/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4779 - loss: 4.9323 - val_accuracy: 0.4437 - val_loss: 5.5069\n",
+      "Epoch 18/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 2s/step - accuracy: 0.4714 - loss: 5.3858 - val_accuracy: 0.4938 - val_loss: 5.0608\n",
+      "Epoch 19/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4240 - loss: 6.1431 - val_accuracy: 0.4469 - val_loss: 6.5294\n",
+      "Epoch 20/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.4943 - loss: 4.9442 - val_accuracy: 0.5063 - val_loss: 5.1214\n",
+      "Epoch 21/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.5323 - loss: 4.6294 - val_accuracy: 0.4625 - val_loss: 7.2510\n",
+      "Epoch 22/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4361 - loss: 6.2494 - val_accuracy: 0.4844 - val_loss: 5.6620\n",
+      "Epoch 23/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 776ms/step - accuracy: 0.4352 - loss: 7.4162 - val_accuracy: 0.4615 - val_loss: 4.5347\n",
+      "Epoch 24/100\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\ProgramData\\anaconda3\\Lib\\contextlib.py:158: UserWarning: Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches. You may need to use the `.repeat()` function when building your dataset.\n",
+      "  self.gen.throw(value)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 1s/step - accuracy: 0.5169 - loss: 5.5894 - val_accuracy: 0.4594 - val_loss: 6.5667\n",
+      "Epoch 25/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4465 - loss: 6.5926 - val_accuracy: 0.4531 - val_loss: 6.1840\n",
+      "Epoch 26/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 1s/step - accuracy: 0.4422 - loss: 5.9390 - val_accuracy: 0.4437 - val_loss: 5.7650\n",
+      "Epoch 27/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m24s\u001b[0m 3s/step - accuracy: 0.4434 - loss: 7.4101 - val_accuracy: 0.3719 - val_loss: 8.2709\n",
+      "Epoch 28/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4086 - loss: 6.6878 - val_accuracy: 0.4875 - val_loss: 5.6556\n",
+      "Epoch 29/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4602 - loss: 6.3892 - val_accuracy: 0.4844 - val_loss: 5.7306\n",
+      "Epoch 30/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4430 - loss: 5.8866 - val_accuracy: 0.4406 - val_loss: 6.9350\n",
+      "Epoch 31/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.5347 - loss: 5.7998 - val_accuracy: 0.4781 - val_loss: 6.4619\n",
+      "Epoch 32/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.3897 - loss: 6.1592 - val_accuracy: 0.4375 - val_loss: 7.1720\n",
+      "Epoch 33/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4129 - loss: 6.0290 - val_accuracy: 0.4812 - val_loss: 5.9674\n",
+      "Epoch 34/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4221 - loss: 6.9833 - val_accuracy: 0.4437 - val_loss: 8.2939\n",
+      "Epoch 35/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4334 - loss: 7.5704 - val_accuracy: 0.4375 - val_loss: 9.6743\n",
+      "Epoch 36/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4245 - loss: 7.1154 - val_accuracy: 0.4625 - val_loss: 8.5587\n",
+      "Epoch 37/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.4031 - loss: 7.7814 - val_accuracy: 0.4969 - val_loss: 5.7196\n",
+      "Epoch 38/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 1s/step - accuracy: 0.4740 - loss: 6.5494 - val_accuracy: 0.4938 - val_loss: 6.4010\n",
+      "Epoch 39/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m16s\u001b[0m 2s/step - accuracy: 0.4919 - loss: 6.1848 - val_accuracy: 0.4437 - val_loss: 6.4785\n",
+      "Epoch 40/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 2s/step - accuracy: 0.4899 - loss: 6.8974 - val_accuracy: 0.4031 - val_loss: 8.1091\n",
+      "Epoch 41/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4465 - loss: 7.0675 - val_accuracy: 0.4406 - val_loss: 7.9147\n",
+      "Epoch 42/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.5112 - loss: 6.7097 - val_accuracy: 0.4625 - val_loss: 6.3914\n",
+      "Epoch 43/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m21s\u001b[0m 2s/step - accuracy: 0.5615 - loss: 5.0364 - val_accuracy: 0.4594 - val_loss: 6.6079\n",
+      "Epoch 44/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5545 - loss: 5.5336 - val_accuracy: 0.4594 - val_loss: 5.9546\n",
+      "Epoch 45/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4873 - loss: 5.4036 - val_accuracy: 0.4938 - val_loss: 5.4991\n",
+      "Epoch 46/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 761ms/step - accuracy: 0.5134 - loss: 5.0078 - val_accuracy: 0.4231 - val_loss: 9.0660\n",
+      "Epoch 47/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 1s/step - accuracy: 0.5010 - loss: 5.5223 - val_accuracy: 0.5156 - val_loss: 5.9326\n",
+      "Epoch 48/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.5037 - loss: 6.1295 - val_accuracy: 0.5281 - val_loss: 5.6864\n",
+      "Epoch 49/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.5941 - loss: 4.4058 - val_accuracy: 0.4812 - val_loss: 6.5884\n",
+      "Epoch 50/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 2s/step - accuracy: 0.5239 - loss: 5.8396 - val_accuracy: 0.4594 - val_loss: 7.2640\n",
+      "Epoch 51/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4533 - loss: 6.7004 - val_accuracy: 0.5281 - val_loss: 5.2335\n",
+      "Epoch 52/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.4631 - loss: 6.0514 - val_accuracy: 0.4719 - val_loss: 8.4559\n",
+      "Epoch 53/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5172 - loss: 7.9647 - val_accuracy: 0.4250 - val_loss: 7.4126\n",
+      "Epoch 54/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.5087 - loss: 6.9408 - val_accuracy: 0.4719 - val_loss: 7.7086\n",
+      "Epoch 55/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4688 - loss: 7.7290 - val_accuracy: 0.5250 - val_loss: 8.3288\n",
+      "Epoch 56/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.4708 - loss: 7.8719 - val_accuracy: 0.5063 - val_loss: 6.3757\n",
+      "Epoch 57/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5984 - loss: 4.5964 - val_accuracy: 0.4688 - val_loss: 8.2117\n",
+      "Epoch 58/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5386 - loss: 7.7388 - val_accuracy: 0.4187 - val_loss: 7.9554\n",
+      "Epoch 59/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4493 - loss: 7.9244 - val_accuracy: 0.4563 - val_loss: 6.1968\n",
+      "Epoch 60/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4313 - loss: 6.9693 - val_accuracy: 0.5125 - val_loss: 5.8841\n",
+      "Epoch 61/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5223 - loss: 6.6042 - val_accuracy: 0.4594 - val_loss: 7.1967\n",
+      "Epoch 62/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.4032 - loss: 8.4775 - val_accuracy: 0.5063 - val_loss: 6.5159\n",
+      "Epoch 63/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 1s/step - accuracy: 0.5153 - loss: 5.9839 - val_accuracy: 0.4969 - val_loss: 7.0296\n",
+      "Epoch 64/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.4697 - loss: 6.9307 - val_accuracy: 0.5813 - val_loss: 6.5643\n",
+      "Epoch 65/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4964 - loss: 6.2300 - val_accuracy: 0.4781 - val_loss: 6.5246\n",
+      "Epoch 66/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5528 - loss: 5.3239 - val_accuracy: 0.4156 - val_loss: 7.6738\n",
+      "Epoch 67/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 2s/step - accuracy: 0.5070 - loss: 6.1421 - val_accuracy: 0.4281 - val_loss: 7.4101\n",
+      "Epoch 68/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5124 - loss: 6.5515 - val_accuracy: 0.4906 - val_loss: 6.9983\n",
+      "Epoch 69/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 619ms/step - accuracy: 0.4524 - loss: 6.0346 - val_accuracy: 0.5385 - val_loss: 6.3106\n",
+      "Epoch 70/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4914 - loss: 7.9110 - val_accuracy: 0.4688 - val_loss: 6.5590\n",
+      "Epoch 71/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 975ms/step - accuracy: 0.5371 - loss: 6.2141 - val_accuracy: 0.4219 - val_loss: 8.2824\n",
+      "Epoch 72/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 955ms/step - accuracy: 0.5242 - loss: 7.3913 - val_accuracy: 0.4812 - val_loss: 6.7837\n",
+      "Epoch 73/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 984ms/step - accuracy: 0.4166 - loss: 8.9486 - val_accuracy: 0.5031 - val_loss: 7.9708\n",
+      "Epoch 74/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m22s\u001b[0m 2s/step - accuracy: 0.4763 - loss: 7.9522 - val_accuracy: 0.5188 - val_loss: 6.7370\n",
+      "Epoch 75/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5140 - loss: 6.2214 - val_accuracy: 0.5031 - val_loss: 7.5415\n",
+      "Epoch 76/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5114 - loss: 6.4735 - val_accuracy: 0.4469 - val_loss: 7.6867\n",
+      "Epoch 77/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 952ms/step - accuracy: 0.5140 - loss: 5.5300 - val_accuracy: 0.4125 - val_loss: 10.3067\n",
+      "Epoch 78/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 953ms/step - accuracy: 0.4516 - loss: 9.1382 - val_accuracy: 0.4938 - val_loss: 7.3789\n",
+      "Epoch 79/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 979ms/step - accuracy: 0.5602 - loss: 5.6557 - val_accuracy: 0.4969 - val_loss: 5.6191\n",
+      "Epoch 80/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 945ms/step - accuracy: 0.4895 - loss: 6.3032 - val_accuracy: 0.4719 - val_loss: 8.5945\n",
+      "Epoch 81/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 954ms/step - accuracy: 0.5225 - loss: 7.7297 - val_accuracy: 0.4469 - val_loss: 8.2417\n",
+      "Epoch 82/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 943ms/step - accuracy: 0.5194 - loss: 7.1475 - val_accuracy: 0.4688 - val_loss: 8.5784\n",
+      "Epoch 83/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5569 - loss: 6.5502 - val_accuracy: 0.5125 - val_loss: 7.0258\n",
+      "Epoch 84/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 975ms/step - accuracy: 0.5228 - loss: 8.0332 - val_accuracy: 0.4812 - val_loss: 7.8102\n",
+      "Epoch 85/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 993ms/step - accuracy: 0.5386 - loss: 5.7043 - val_accuracy: 0.5156 - val_loss: 9.0501\n",
+      "Epoch 86/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.4799 - loss: 8.3227 - val_accuracy: 0.3719 - val_loss: 10.0505\n",
+      "Epoch 87/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.4815 - loss: 8.8218 - val_accuracy: 0.4625 - val_loss: 8.0420\n",
+      "Epoch 88/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.5009 - loss: 5.9131 - val_accuracy: 0.4469 - val_loss: 7.2714\n",
+      "Epoch 89/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m20s\u001b[0m 2s/step - accuracy: 0.4766 - loss: 7.7801 - val_accuracy: 0.4875 - val_loss: 6.6964\n",
+      "Epoch 90/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m7s\u001b[0m 699ms/step - accuracy: 0.4967 - loss: 7.9605 - val_accuracy: 0.4406 - val_loss: 10.4369\n",
+      "Epoch 91/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 384ms/step - accuracy: 0.4688 - loss: 9.4814 - val_accuracy: 0.4250 - val_loss: 8.6161\n",
+      "Epoch 92/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 716ms/step - accuracy: 0.5326 - loss: 7.2693 - val_accuracy: 0.5385 - val_loss: 9.2187\n",
+      "Epoch 93/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.4743 - loss: 8.0569 - val_accuracy: 0.5125 - val_loss: 8.3927\n",
+      "Epoch 94/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.4760 - loss: 7.4299 - val_accuracy: 0.4406 - val_loss: 9.5651\n",
+      "Epoch 95/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 1s/step - accuracy: 0.5728 - loss: 6.9671 - val_accuracy: 0.4906 - val_loss: 8.4241\n",
+      "Epoch 96/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5206 - loss: 7.0807 - val_accuracy: 0.5000 - val_loss: 7.2874\n",
+      "Epoch 97/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 1s/step - accuracy: 0.5120 - loss: 6.6775 - val_accuracy: 0.5063 - val_loss: 7.3174\n",
+      "Epoch 98/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 958ms/step - accuracy: 0.5596 - loss: 5.8743 - val_accuracy: 0.4906 - val_loss: 7.4229\n",
+      "Epoch 99/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 981ms/step - accuracy: 0.5758 - loss: 6.1329 - val_accuracy: 0.5344 - val_loss: 5.9883\n",
+      "Epoch 100/100\n",
+      "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 1s/step - accuracy: 0.5369 - loss: 6.1510 - val_accuracy: 0.5063 - val_loss: 7.2228\n"
+     ]
+    }
+   ],
+   "source": [
+    "hist = model.fit(train_data, \n",
+    "                           steps_per_epoch= 10, \n",
+    "                           epochs= 100, \n",
+    "                           validation_data= val_data, \n",
+    "                           validation_steps= 10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "ffu48A4gAp2t"
+   },
+   "source": [
+    "## **Saving the built Model**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {
+    "id": "4caHqjnokbr6"
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"
+     ]
+    }
+   ],
+   "source": [
+    "# Save the model in h5 format \n",
+    "model.save('final_model_mobilenet.h5')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "rDLR95l7Auzl"
+   },
+   "source": [
+    "## **Train accuracy v/s Testing accuracy**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 281
+    },
+    "id": "K8l0OodF-8Ur",
+    "outputId": "112e545f-db75-4f99-e606-3a701c071271"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
       ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(hist.history['accuracy'])\n",
+    "plt.plot(hist.history['val_accuracy'] , c = \"red\")\n",
+    "plt.title(\"training_acc vs validation_acc\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "cgh47EM5KWyw"
+   },
+   "source": [
+    "## **Training Loss v/s Testing Loss**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 281
     },
+    "id": "hyLS4dCh-_Zy",
+    "outputId": "bbf31bd2-4c52-4e0d-98dc-edd3910b4b63"
+   },
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "source": [
-        "#**Train accuracy v/s Testing accuracy**"
-      ],
-      "metadata": {
-        "id": "rDLR95l7Auzl"
-      }
+     "data": {
+      "image/png": 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c9MANBd6m7jnLVYF3c1tnZ+lxerqjP+MQeLchSaibmRa9eIGrHjhQvl5SgXebwJNJGlweeKA9i8vmEfC6ocsgZiIJXHEF8MgjrS24FwfoTqAXCXxqqqM/0xKBM8Y+yhjbyxh7njH2sXat1LKCJKFunmzqBd5tUpRQPXCgfIDrFQtFrtN997VlcYmsVOCMXhifAJ54Anj88dYW3IsDdCfQS0HMXidwxtgOAP8FwBUAdgL4A8bY5nat2LKBPMm6ebL14gVeTYH3ioXSZgJPZkQWitsNACgmxTbH460teLl64N3c1l4ncADnA3icc57knOcB7ALw1vas1jJCLyjwXiRwNYgJWFsovaLAn322LRdqMldAUEkjLBF4qx673E/hcO8c307AykJpZ0GwRjAzQ489TOB7AbycMTbIGAsA+H0A68wfYox9kDG2mzG2e6rDG7Mk0QseeC96pGoQEzD2D+e944GnUsAll9D/99/f8uKSmQICShphUW5zqwQuB+hotHeObydgJnA1PfZMo9cVOOd8H4DPA7gHwC8BPA2gImzOOf8G5/xyzvnlw8PDTa/oWYteUuDdDvyokB64WYHLwCHQGwr8mmtotmgrNgrnyD73PLJ5UuAeN3ngHSHwbg96nYSZwIHunc+9TuAAwDn/Fuf8Ms75NQDmABxsz2otI/SCBy6JsJcucDsFLtW3/Ey3wDmtUzgMXHst8OtfN7+cj3wE+kU7sPP0QQSUNMJiWhwXR4HXB3MQU77WLL74ReCb32z8e9msEbfoZQJnjI2Ix/Ug//u2dqzUskIvKfBeusDtPPBeIfBMhsg3EACuuw548UXg+PHGllEsAn/6p8BXvgIA6E/FENDd8IogJtqlwNUBuleObyfQbgV+663Aj37U+Pfm5oz/e5nAAfyUMfYCgJ8D+HPO+Xwb1unM4PRpFIaGwZ98srvr4RC4NcwKXK6XzEABumuhyPUJBIBXvYr+b8RGKRaBD34Q+N//m2biAvDnMmUeOE+1KYjZi8e3E2g3gScS9NcopH0yPNzbBM45fznnfDvnfCfnvD25VGcIE489BffMNA7f81B3V0T1drsFSYR9fb1zgZvTCHvNQpHrEwgAO3YAIyONEfi99wLf+hZNx//85wEAvny2zANncvscD7w+dILAm7kuZQbKtm0kODoYSF22MzHjJ08BADKnx7u7Ir2mwHM5I0jYTZgn8lhZKN1U4CqBMwa84hXAww/X/32pzN7//hLZ+PJZBHQNmtsFF4Oxze1W4N1Kresk8nk6b2U5WUnk3VTg551Hjx2cTr9sCZxPTAIAXB2uVVATvUDgkggjEXrstkrjvNIDl4SpWii9oMDl+m3aBIyN1U+OkhiCwdIg5ctnEPSS/61rrvYpcPPx7Xb2Ticgt8mswJs9RzhvncC3baPHDtooy5bA2SQRuHvGIfCSQuvr6/66AMb6yOa0QG8rcABYtYruXuTtcyPfF2Tjz2UQ0DUAgO52gaWVmZitqOZsFvB4jHXt9gDdCaj9MIHWLZR02sg0ahQOgXcermnaqfpcnRdcp9BLHng0So/dJnD1YnS56LHXPHA1iAkQgQPA6dP1fV8lcK8XnDF481kEdEWBy+Mi1WCzyGYBXe9+bnQn0W4Cl/s7kWh88JydBdxuuisDHALvBLQZ2qneudnurkgvKfBeI3Cr9lgLC/Tc5+sNC6UVAtc0UsaMoaB7RRDTUOCutHIcWrFRMhki8Hb4wr2KdhO4zOM2lzKuBzMz1Mt1ZISeOwTefniEdeJfcAi8gsC7fYttvhgDgXILJRql93rJQlm5kh7H6wyKJxLkfwvkvD748hn4FQXuVo9DKwSezVrPaj2bYD5nWp3Io97xNHr3MztLBD4wQAFuh8DbD5+wTgLzXSbwXpqJ2SseuFVASg1iRiJESL2gwCUpNqPAJfkDyOk+BPPZUg64rrngUgeoVglctVC6PUB3Ap2yUMz/1wNJ4G43PToE3n7452ZQBIOeTbfmL7aKXihmJRW4zFLoNoHXUuCRSO8p8GCQptU3SeBZ3Ytg0bhV97hd0LJtVOCOB94YVE5o9NqcnQUGB+n/Dk/mWZ4EnkrBm0rgeJ+47e1WlcRisTe6wUuPtFcucKuLUQ1iRqPdV+DmICZAKrxeAjdZKFmPF8GCUdZX11zQMm0i8Goe+MmTwE9/2vyyewV2Fko3FThABO7kgbcZgrAPDa0ve37G0StlXHtNodUKYvaSApf7DGiMwE0KPO3xIlAwFLjudsGdzRpKrp0euDrwff3r1Jg5n29++b0AM4Ez1lqgu1UFrhK4o8DbDJEDfrDbBK4SZbcVuNfbngpu7UC9Qcxue+C6TpkkEq0QuKbDnzcGJF0TFooswdwpC2V2lu4Euz1otwrzOSP/bzULBWhMgedydI46BN5B9AqBy5NOJahuoNcUeLUgpvTAu22hJJPl6hto3EKpIHDFQnG7oGczRipaK23Vqh1fWTmvm3GgdsCKwFupb9+shSL3p0rgMzM0SHYAy5rADw1toOfdJvD+/u4HMXspzcxOgReLvRXEVP1vgAg8kahPLSeTZR540q3Da1bguSwwNEQvdMoDnxcFRB0CL0ezFoqchakSeLFovN5mLGsCP9q/Clm3p/sWysBAcxMG2oVeDWKqHngyacyK65UgphWBA/WpcNMAkHTr8ObKg5h6LkOfCYU654FLAu+mgGgHekWBWxE40DGOWbYEnvL4kNT9mA1Euq/A5cHuFnHKC7xXZurZKXA5jb5XFbiczNMEgSfcOrw5g1h1tyBwn689BL4cLZR2BTGbIXA1jRBwCLytmJzEXIgmrcz4o+CdJPBqdRRUCwXoHnFKBa5p9NdrQUypwGUlwl72wIH6CNyURhh3eeDJGgOSR3NBz2XpN8Lh9lgo8o7GykI5WxS43EagdQUuhVUj+0YWM5PflRaYQ+BtxOQkpgM0bXwmEAUXlkrb8Q//AFx6qf37ZgXerYtIKjSgNxobWwUx83lD3fRKFoqdhVJrOn2xSOsuvs85R5xpZQSuu13w5jLtIXB5fM2pdZz3vgJ/6CFqelEL6TRtn8djvNYqgff302xKx0LpMUxOYtofRcirYTYQ6ZwCf/pp+jt50vp91QNXn59pyDRCoGUCLxY5Pv/L/Ribb2FbrCwUAJiYoMdetVD6+2k/1lLgpklAmXwRSc0Ldz5Xysf2ugBvIUfb2Q4Ctzq+6bQxkaxXFfhPfgJ87nO1m4zIbjyMGa+1ci7H43SHFAw2HsR0uYxZzY4Cbz/45CSm/FEMhnTM+qNgUx2aKSUP2uOPW7/fKxZKGxX4sdkkvvabw/jVCxPNr086TReBzLGWVoVUtr1goVgFMRkjH7wWgUtFJ76fzBaQ1srtDX9RTKxppwKXy5PHd15pYdurCjwWozsFtZGHFdR2ahJ+f2seeChEBN6oAu/vp/MXoPM0EunYbMzlR+CcA5OTmAlGMRTyYiYQhSu+2BkykAT+2GPW7/cSgautqFrYFzNxUsWL6RYyaswXoyRKSeC9Uo3QTOBAfbngUtEJDzyRySPtEQQrCVxMqy9426DApQcOlE9uUbun96oCl9tdKw1PdnBS0cpEHhmjCAQaJ3B5Ry3Rwck8y4/A5+fBcjnMBPowGNQxK7zwjuxgOeraEXgvWShtUuAzCSKexXQLU7PNF6OdApd9ELsBqyAm0BiBlynwcgIPSALX9fZbKHKAXioKHKhN4HYKvFUCb8ZCkRkoEg6BtxEiYDkdiGIw5KU0QqDhHfzsyXkcnqoyO65YJAJnDNi92/AaVfRSELNNHvisIPBYKwRup8ClBx4OG+93S4W3Q4GL7yeyeWRMFopP1EXJ6W3ywK0G6KWgwLtN4I0qcNnMQYVD4G2EIPCZQB+GQjpmmlTgn/zpc/jCfx6w/8D8PKnDq66ik+vZZys/0ysWSjsVeLssFHM6GEAKPBSizIBu1m3h3NoDB4jAZ2erDyxqQ2MAqWwBKY/YXkGkPjGtPu/1EoEnk83dbRQKJCasLJSloMDrtVB6SYE7BN5BSAIveeCiiUGDO3g+mUU8U0VlyuW94Q30aGWjyJOr2wSuKrRWfEMYFkrVfVML5otRJXAZ3ZcE3w0Cz+WIGO0IHKieSmhS4CkLC0USeEmBA83VQ5EDSbUgpsvV+wpcvVuwgh2BFwrNVVpUCbxdHngrjaltsGwJfDrQh8EWFLh7dhZYiNl/QPrfl1wCrF5tTeDpNOWthkL0vFfSCFsKYrbBA69moci2b920UMzNHFTUMxvTTOC5KgSu6QaBN2OjSOvO6vhKUlyx4uxU4M3OLJZNpBu1UPJ5ypYxE/jQkFGlsM1YtgQ+549gIKgj5g2i6NYaIvBikeOW2z+NG370JfsPyeUNDwMvfak9gft8BhGcARV0aj6Fo9OmE7KNaYSzpSBmCxaKXRAzm+0NBW5VC1yintmYpjRCIvByD1wWtipT4K0QuJ0CDwSolV4vKnDOW/fAgcbP51SKfrtRC0Xe0VgpcKAjNsqyJPBMtA95t4ahkBdgDKlof0M7N5HJ4bzJoxiYrZLrbCbww4crf0OedGewiNTHfvQ0PvrDp8pfbGMQsy1ZKGYPXFW6ksB7VYHXQ+CmNMJ0TvHAxb7XRWGrjKdNCtwujbCvr3Gb4EwhmTTKsJ5JApf7otE8cPM0eomXvAT4+783zt02Qqv9ke7j3x4eRSJbwJ+/cnPrC5ucRKqP0nwGgnRSJ6P9CDZA4MlT41iRS8OXrjIyy+UNDRGBAzSh5w/+wPhMKkUnnaxB0mECX0jlsOfYHPr8ynTjYpFu/doexGyRwNVULFXpSgulmwrcqp2axMgIecrNeuDiPV1YKFmPB9BbIHArD1xNI+zvp/XoRQWubm8rBN7oOaIGmRuxUMyFrCS2b6e/DmBJKPCHXpzGXc/WWSi/FiYnkYzSCBnUNfg9bsTDjSnwzMEXAQD+agQ+PU0ngN8PXHYZEfSjj5Z/Jp02TrIzUIPkkRenUShyzCSyyBWEsjF7pC0EMTnnmEsaQcxCscmgjZ0HDvS+Ane7icQbtFDMaYS6qIuS1rzt98BVC6WXFbjqGXdDgUsLJZ+vr9SzuQ7KGUBLBM4Y+2+MsecZY3sZY7czxny1v9U4gl4NyWybevZNTiIeHaC6Ph4XArobiw0SeP7FIwAAf6aGApfeVyAA7NxZ6YOrJ53adaZD2HXQ2MZpoZQtFVo221QHkVg6j1yBY1WUtqnpTBS7LBSgksC76YFbEThQOxfc1I4tlSuA+8sDbrKwVcbjtcxCufPpMbw4WUdWSi0LpZcVuCRwn6+5LJRmg5hmBa6+Vg1LicAZY2sAfATA5ZzzHQDcAK5v14qpCOgaEpk2zbibnEQs3I+Axw3GGPy6GwuhaGMBhqNHAQDBTBLcLjVIJXAAuPJK4Iknyj8jLRSg423VOOfYdXAKYS+RxmRMELdVkAtoihilfbJhkE76pgOZ5iCmy2WsXy9YKNWCmEB9BK6QfypbAJPPJYHnBIG7dSNLSVHgn/zps/j+Y8dqr6vVAC2bh/S6Apfbu2FDfQpcjZsAzStwOVBKBQ7UN8AtJQIX0AD4GWMagACAU62vUiWCuhuJVvKKJXI5YHYW8+F++HUisoDuxlywj07mOjviaEdHab2yaeTyNkp1etqoRAYAa9fSCakSzhm0UA5NxnF6IY03XLwaADC5aCJw9RYbaGpdZAbKOUN00rekwM0XoyS4XrdQgKYI3OPzkv0ilu0pWSiVQcxcoYh0rohYqo7ztdoALQm80dmGZwpSgUsCr1Vbv1MWivpaNczM0MxrKTLOAJomcM75GIAvADgO4DSABc75PebPMcY+yBjbzRjbPdVkGk3QqyGVKzTvqUqI3Oy5YB8CuhsA4Nc1ox5KnRXD9BOkfFzgSNvlgpsVuCQe1dczWygdJPBdB2jfv/2ytQCAyUUxkJgVWgtdeWQGyoZBOumbDmRWuxh7IY2wWhATIAKfmLCfOWlqaJzKFeDT3WXngJZNowiGtMtNn3W5SgSeyOQxlJhDMlYHqdgN0MmkEcRsdLbhmYJU4Bs3kriyI1F5R9EJAm/EQpmepgCm293Y77WAViyUfgBvAnAOgNUAgoyx95g/xzn/Buf8cs755cMqoTWAoPZ18CsAACAASURBVJd2SCrXoo2iTKOXBB7wuDHtj5S9XwuBsROl/7OzNt6cmcDlqKyWxUynEWca/vjW3Si2OAOyFnYdnMKWkRAuWhMFY8CE2UIxX+BNWSi0rI2tWihWBC4vpHon8hw5QulbnWjWUY8CLxbtbTlTQ+N0rgC/x0zgWWQ0HbkCSNUpbdXiqSzu/vZ/xet++vXa62rlgQM0wHBuKHA1Za9XoCpwwN5GMTcAkZBWhkzvqxfmNEKgvgFuaqr8rvsMoBUL5dUARjnnU5zzHIA7AFzdntUqR0DYHS3bKOKCmg5EDALX3Zj0NVDQKp9HaHwMJ6IrAADZWQsFnkjQhViLwFMpTOcZfrVvAknN2zEVlMzm8dvRWVy7dRia24XBoI4pOwXekoVCy1o/0IIC55xIp1UF/tBDVETsmWcaX4daqMcDB+xtFLOFIglciYO4MymkNR0ZmS2kFLTKHh7FcHIe21/YXXtd7Y6vXDepwIHut9Izo14Ct+qHCVA2EGO1OySZ0ayFMj1dfs2fAbRC4McBvJQxFmCMMQDXAdjXntUqx4rx4zh/8kjrBC7Ic0bzlwYFv+7GpLcBAj95Eq5iAftGzgEA5KwKzQsrJj8wgJhUoTYKPCXyf9Oat2MK/LEjM8gWirh2G51cw2FfZRCzDR74dDyLkFfDUIi2qamKhJJw7DxwswK3I50T4i6pE0WE6lHgAHDKJiRktlCyBfilhSKWrWUySGs6svlKAi/ufR4AsGnsYG1isTu+ksBlEFOuVy9hcZEydVZT3KYiE0XGrOwI3OMhRdwKgTcyS3opKXDO+eMAfgLgSQDPiWV9o03rVYaLv3QzPnf3vyCZbdFCkQTu9tMFA1LgxwPiVmt0tPYyxGf2DW8EAOTnLQhckMbPTmbx6i/uIivBjsBdNKkmpXk6RuC7DkzB53HhJRtpO1dEvEYQs40e+Gwii8GQjrCPtqkpC8XuYjQr8FoWimxj1ykC17Ty/osq6lHgioWSyhXhM1kormwGGRsCd79ABK4Vi5WZTWbYWSgqgZ/BUg4NIRaj7ZYTY1QFftddZJEcOGBvoQBUm6YZAne5aNBrVIEvFQIHAM75/+Scn8c538E5fy/nvCMpASwcRiibaq3CHVCqVUAKXBK4hmmm023a88/XXsYRygHfLwi8UIXAD+R9mFzM4BsPHDGIx2ShJAWBJ116xwj86ZMLuGRdP5EEgJGw1whi2mUpNEngA0EdPo8Lmos1Z6HUS+CaRhdZNxS4XSlZiVoFrUwWipUH7k6nkdZ0Y8KVQuD6gX2Y91FqIX/44errand8rSyUXlTgkYjhZasEvns3pfvddJP9OQM0R+CyHyZj9QcxOV9yFsoZA4tEEMwmW5/MI8hzmuklC8XncVNw9IILgL17ay9jdBQFlxuHh9cDAAoxi9lxgjQOc7pY/s+Do5hi4hbWlIWSEAQed+sdU0CLqRwGhK0BACNhH6bjWcrqaWMQczqewWDQC8YYwj6tvQrcbKHIz9gp8E5bKNUI3Osl1WhH4FYWiskDZ+kUMh5rBR44uB/PrNqKQ4PrUHz4kerrWssDXwoK3IrAxVwM3HEHcP/99L8dgddqsGGGrEQI1B/ElPX/LRR4ocjt54u0iCVB4K5IGMFsqvXJPAsLQDiMeI6XBTFzBY7C+duB/ftr1w4eHcV0/wjYAN3WFa0IXHjgB4pevHLbMPLFIm7ZPWGsA1BKfYozGkhi6FwtlFg6h4jPKHszEvGiUOSUt93WIGYWg6K+TNjnQbwVD9xKgTNWZj1UbWzcaQvFLoApUS0X3CqIafLAkU4jq+nImhV4oYDI0UM4MLQBe9acD/boo9WzR2p54N1U4JmMdacqiViMFLjfT+tvJvCLL6ZSuJ/+NL1WTYE3QqBWBF5r38gUZAsFfs/z49jyP+7GwYkWuirZYEkQuBaNIJhNI9FKiVIAWFgAj0aRzBXKCBwAsuefTyfT4cPVlzE6ilN9K+EbEEowZm2hcE3DKe7FSzcN4t1XbsDtT55GMRA0CFwQlSTwBaYZZSzbjFg6j4jP8GtHwnQxT8TSbQtick4DglT6pMBbsFCsgpjhsNHtG7BX4MmkcbF3Q4EDtQm8zANXCFzu91QKWd1bqcAPH4Y7m8WhofXYs+Z8uObnyAe2g50HfuoUDYjhcPcU+LveBbz3vfbvSwuFMRpo1CDm0aPAjh3AzTcbaYJWBL5qFZ0jtbraq1AJXNfpnKtF4GrxOhNmElnkixxRv03MpAUsEQKPwgWOzEKLI9jCAngkCs5RCmLKx+Tm8+gztWyUI0dwvG8FIoNRFJjLusDQ1BQKA4MAY1jd58eHX7UZPs2FBW/AOJHEhbrI6ffnuWak0LURmXwB2XwRYUWBD4fpRJ9azLQniDk3h8I112L72AFFgbdI4OaL8YYbgL/7u/LX7BS4VN8uV3c8cICIwyoLpVCgfS6+XyhyZPPFCg8cqRRyHm+lAhdxmgPDpMABAI9UsVGqWSjRKO2jdihwzoFbbgGOH6//O089RX92kBYKQDaKHJTzeTrGGzcCN94IbN1Kr9spcKAxHzyRMMoXyLu+WoObVOAWBD4nJrj1BZYpgev9FLiyzPhoBAsLKIggWFCZSg8Ai+dsoYNVLZCZTAITEzgaHsFwxIeE7gdbtCgoND2NdB/5dqv7/BgKeXH9Fesx7fKBy20QxLMAOqizXBBsm20USaJhCwU+udgmBb5nD7SHHsT/+sWXMSQWE/Z5jBTKRmBH4L/zO8BHPlL+ms9nTeDS/z7//OYJfP9++7zjehW41a27KQUxLSanmT1wpNPIe0wKPJMpEd6Lg+twZGANcn0D1QlcHl+ZMaPGOGQrv3Yo8NOngY99DPje9+r7fLFIJHzihP1dp7RQgHICP3GCBsKNG2m7vvQlItm1ayuXUQ+B/9mfAf/xH8ZzVYED9ZUaqGKhzCYpvdartX+G5pIgcLcIXOWrtTCrBwsLyIdoRC8pcI+YJKTpwKZN1RW4CJwcDo9gOORFXPfDFbdW4PEIXRxr+uiCWdvvR1wPIC9vAyWBczoEs0VxcNt8GyvrZZQrcEHgMQsF3kwQU6RWbps+jp0/oEzSsLfNCtwKdhaKVOCXXkoXfaM9EXM5akb9yU9av18vgedylbMATc0c5Oxin9kDT6WQ85oIHAAeewwzI2uQ1CkmMLPzMqBaJorstsQYPVe9+76+snVpSYHLQbPema+Tk7R/0mn7mZLSQgHKCVwGMDdupMfXv57ubNesqVxGrYygRAL42teAH//YeE1moUjUo8CrWChziSz6g+1X38ASIXB58hbbQOA5QeBmDzyVFZko1RS4SCE8GV2BoZAXcT0At1Wj2akpzAWj0FysRJb9AR2L3gAKJgslzjwYCulIuj1lr7cLkkRVD9zncaMv4KFccLNH6vFQLYdG1mN0FEW3G3dtexk2fP2fgH37ms9CsZvIYwU7C0WSycUX02O1qdQ//Wml0t69m7IKHnjA+jv1BDHl5BMzcVg0cwBQbqGIrvd53VeeRggAjz+OsdWbSkHp8QsuJQ/cro6P2i4PKB8YJYG3Q4HLfT5RpUuV1efN/0sUi0TgVhaKmcAB+/ojtRT4oUPlywQqFXg91Rqnp+n4qd8TmE3mMBCs43xuAkuKwHmrTUEXFpANWhN4MlugoMjBg/Y+tFCax/tWIur3IOn1w520JvBpbwQrIj64XaR8+gIexLzBCgslrenYNBSq6InYLhgWSnnzpVIuuNlCARpv6jA6iuSK1bj5NR8CAkHggx9EWHcjnsk3nj7VDgV+4gQpoXXr6LmdjTI9Dbz97cBnP1v++n330ePBg9bEWK8CByoJ3KKZA6AQeLFYUqZ5NYgpPdlYDMdWnYNVURpAjm/bSa9b9VwFaP+oBO52G3aK2UJphwJvF4HLdbFT4IwZx1fBYjqHr/3mcGlgRF8fndt2BC4DwNUIvB4LpcoszLlEFgMd8L+BpULg4iDyxdYJPFMicGMqPSAI/IIL6Hb74EHr74+OougPYDrQh5BPQ8oXgCdhInBRZ/m0HirZJ4ChwF1yEBJEldF0bBoOVvREbBekClY9cIBywSetgphA45URjx7F3Io1mA72o/CFLwAPPYSdj9+LIkfjs2cbIfBqQcx162o3k5Xkeued5T7sffcZCtvcRQmoP4gJVAYy7RS47jKWmUoBqRQKXlMQU+DwyAYMh71wMeDIxu00qcnORjErcMDYNqnANY0+04oCl7ZVvRZKLQKX14mqwBMJ2p6jR8nvNm1Xscjx8X9/Bp//5X48eEgcc8aqT+aRBD42ZogZKwVeTxDTZhLPbCKL/qBu+V6rWBoELg6iy8quqBdpUpspPykZdSYmAKRyeSJwwN5GOXIEmbXrAMYQ8mpI+4PwmBW4uF0/oQWxus8gISLwINxyEBIEmdE82DQcrOiJ2C5UKPAf/AD4138lBR4TFgpjpe4wAMr7JtaD0VFMDa5G2KvB8/73AcPD2PzbXWW/XzfapcDXrq1N4FItHjpEQUuA9v8jjwDvfz/tE6sAYSsK3M4DlwocIPIqFFDw+pAxe+AA9g+tR8irIeTVMMfdwJYthhVghtqwWkLuW6nA5fqcaQXu89HdQDUClwpcruvcHBG4ap8IfG3XYdzzAv3+2LwiQKoRuBRrnBsBVVOaZ90Wip0CT2YxEHAIHKwVAhfec7KCwBUFvm0b3WLaEfjoKBKr6bYt7NOQ9gWhp0wHVpDFMQSwSlHgfUEP4t4AtHTKCN6AOq6cMxRCRhJ4mxW4zASJyBzUv/s74CtfwXDEi6nFDHg6XR7kAhpT4CIz59TASsoBd7mA667Dqt0PA5w37oNXq2thhl0WSr0KXFWLd95Jj488QqT3+tdTELRZAg8EiHwatVCAklVQ9Fp44C4XDkTXIujVEPF7aICsRlD1KHC5Pu3wwGdm6muMcvw4sH49BR6tCFym56oWCkD7ZnS0gsAfPDSFL95zAG/cuRo+jwtjcyYCtwtiHjhgkPXRo0YMQlpWQH37xsZCSecKSGYLjgIHYB0wrBclAqcLx2+yUFLZAhHC5s3WmSicA4cPI7aaSluGfRqy/gC8KdOBFWQx5YtgtULgYa+GhE+cKLFYmQe+tt+PnN4ZC0VWBAx5NVJHBw4As7MYCfuQLRSRSdq0oqp3PYR3eCw8ggF5kr7mNfBNTWDr9LHGKxLaTeSxgpWFkkiQSlu3jqazM1ZbgW/ebBD4ffeR8r7mGuDqq6lYlEpIuRzZbLWCmID1ZB5zGmHJQlEIXGQqFby+yiyUzZsxW3Qh5HWLVM08zUa0U75mDxywJnCTypyOZ/C5u/fX30Tl5ElDBNSTunniBB2jdevqt1AAGqjGxsoIfDKWxkdufwpbV4TxubddiDV9fpw0E7jVAMc5XQ+veAU9P3q0vBKhRL0K3CqFUOSADyxrAg8GUWQMmlXAsF4IAo97aWQNltIIFQIHKJBppcBPnwYSCcysIQIPeT3IBkLwpRLl/qkIes0EIlijWCiMMRTCSlcexQPvC3jgi4gRvwMeeMirUTD1wQfpxdlZjIgZk6l4svICbySIKQK7LwaHMSgj7a9+NQDgZUefaVyBt2qhSC927Vq6mxoYqE7gHg/NBnz8cbrI77uP+peGQkTgqVR5TfFapWRVrF5dt4VSygMHSjZc0VdJ4HzHDiQyeQS9mpHp06wCN1soisr81QsT+PquwzgyVcc1l8+T13++mFhUjw9ei8DtFPizz1KgVyHwRw7PYC6Zw+ffdhECuoY1/YFyC2XVKrouzXcGExP0O9ddR+fK0aPl/TAlagUxMxm6pi0UuCTw/mVtoTCGrC8AT7IFj04QeMwrFTgRt8ftgsfNkJTdfi64AHjxxUplJ7yyiZVUxCrs05ALBOEuFso/K8hiNhAtZQpIcLWkrOKBR3weBPqE0uiAB17yv2VaXC6HVRptbyaRtr7AG1Tg+/2DpVmYWL8e2XM342VHn2rOA3e7yz15O1gpcEkGMkNheLi6hTIyArzlLTQIf//7wJ49wKteRe9fdRU9qjZKrXZqKupQ4NUsFPgUCyUSAXQd+QsvQr7IyUKRs11XrCDisTp3qnngZgtFISnZHi+dq6NLz+nTRKqXX07Pa/ng+Tx9Z906slHGxirrudgp8CefpMdzzil9dDxG58C5IySC1vb7Kz1wzivPAxnAvOACGvCrKfBq16VMU7VQ4HNJR4EDAHKBILxmv7kRlAg8CLeLQXcbm+73uA0FfsEFdDLJoJaEIPBTI+uoyqTuRiFY2S1cniTzvnCZhQIATCVwQTw53YeA7kaoTyiNdlsoqZyRA75rV+n1FXk6IW0tlHqDmKOj4D4fDrFQWcXD3CtfhStP7EViscEByaqdmh2sFLgkcDkrrxqBT0wQ+e3YQYTwmc/Qsb/uOmMZ69eXE3gjClxOp1fv0MweeNY0kQcoWSjc5zcUuNcLPPIIYn/yYQBkiYV9HixmcrQNcnvMqGahVAliyvZ46XwdWUTyrueyy+zXQ8WpU7SfpQLP5Sq/Yw5iSgKXU+8VBT4RS5eCugBNnptNZI3qpXa54JLAt26l5VUj8GzWmBD29NPAL35hvF9lGr1joQjkAkH4MylDkTQKQeDzegABjxtMCdoFdM042Dt20KPZRjl0CPB6cTo8jJBXA2MM+aCRm1vC1BRSoQh8AV9ZBUAAcPdVErg36AdjDJH+zhB4SYHPzgLPPQdccgkAYChHt4q5ZKo1BT46iuKGDchzGAocgOt3fxfBXBqBJ2s0HDAjk6nP/wasFbgkEzkrrx4CZwx405to8o7fD7z0pcZnrr66NQJPp8sLKVWbSm8OYvp8RhohAFx2GRIe+oxhoeSrT1ZpMogp2+Ol6+lDKwdNSeC1LBT1LkneKZltFCmKpAKXRa1eeIEC5cq0+clYBiMR45xZ20/bVwpk2s3GPHiQRMD69dUJ3DzR6a//mmw3OTDL88tKgTsETigEQ1QTvNmSspLAPX4EvOWztgK628hX3rKFTnhzL8WDB4EtWxDLFkuKtig9bZMCXwj1YXWfr2yQAAB9oM9YF0GQeohOlMiA8DhbsVA+8xmq63DrrcC+fZQFkskRgT9MWSF485sBAP7FGEJeDbm0hQJv0APPrCFbaVBR4L5XvwoF5sLw4w81tg2NKvBisXyq/IkTdCHJZQwP2xOKtFAAInAAeNnLyvfH1VfTMiXB2PTD/Mmek/jbn5sGfatUwmSSlu82GnV73Awet5IHLgic+ZQ0QgHZ1ISCmETgXG6DlfKtYaE8fmQGN/3sOXCzAm/EQpH7Zvt2WnYtBS4/v369PYHHYnQdynV3ueiOoVAg8la6IY3H0lgZMc4ZSeAn500EbqXAt2yhZW/cSHcGoulLhQIHjP2zdy8do7Exel5NgSdzYAwdqUQILCECLwZDVBO82aYOgsBn3b5S7reEX1csFI8HuOiiyippgsDjmVzpVo2HLCyU06cxFRqo8L8BwDtEt4F8fh5Ip5HTPAiLkXko4kfG7UE23qRNVChQac2vfQ143/voYnrf+4QC95D/revA615Hn5+bw0jYi2LK5ha7AQKfHqZp4xsHjZOe9fdj75qtWLunRscYMxolcPkdCZlCKDE8TB6l2WPl3FDgABH3FVcA73lP+eeuFn265YQeCwWeLxTxhf88gO8+eqxcsVoReEUzh2KpU5JZgTO/v+KOU57/AZ0slEKRIz0giKNRBd7fj7v3juO2x48j5/WZFLgk8DotlGCQFH21jBgJWbGwmgJXC1lJSBvFlEI4EUtjhULga/po/540K3ArApeVDDduLLdO1TRClcBjMeDYMXouRV6NOih9fk9pRna7sXQIPBxGONNCVx7RzCGZ56XME4kyBQ4Al1yC4pNP4r4XxvGlew/i0Ngc1QnfuhXxTB4hnyRwcXunWiinTmHM31/hfwOAb4g8x/zcfKlgv1TzQ2EdaU1HeqHJTJvTp0mJfvWrdJv5538OfPe7uPDZR0iBP/AAZVfIGh2zsxgOe1FIW1gW9Xrg8/PA/DwOh4ahuRjOX1V+wT215XKsOfhcY7WYGyFwq870MrtBYniYLkxzvZNYjMhNErimUSbKH/1R+ecuuogIV850tAhi7jo4hfFYGoUix/5xZTC3U+BWHemByiBmIGB44AJSgUsLBQAWwoLYGvHAdR3w+agmPICUx2ftgddroayjCW4YGalPgUejRrcdv9/aQqmDwDnnFRbKSNgLj5sZForXS+pdJfBslmobbdtWvkxpndpZKC+8YLwuCXx6mrZdrp+C2WTnZmECS4jAWZi68sRbsVCiUSSzRjMHCb+ulbJQ8oUivpnog2t2Fp/+l7vxz/cdwv+981EKtGzdWp7VETVZKJyDnzqF476+shRCiWhfGBm3B+kZCwIPeZH2eJFZbFKBS1VwzjmUzvXFL4Kfdx4+cde/YGUmRtkV11xTNiFiJOIDz7agwEUGyrOefpy3KmwoSYG9F1wBFy8aLa/qQSMeuFVjYzkLU8JuMo8kGWk/2MHjIU9cZvBYKPDbf3uilJb63JgyWFkVtDI3c8jmSxlRlQrchyKnc1IikTHy+kvNowugnHc7C8V8fH/nd4A3vhFgrJTBEXeJqfScl5pzAEA6X6eFIvf5ihX1eeBykJU1TawUuDL7FIBx7ioZKHPJHLKFYpmF4nJRHf6qszFHR+mu1Uzgcg6InYWivq8SeH+/ZebUbLxzszCBJUjgyWYbG6sE7i3f0QGPGymh7PePL+IuN91yffsiN3aujSK/T9xWbd2KeDpfslCYuUri/DxYOo2J0IClAu8XBa1ys3NAKoW05kHET8saCnmpiW2zFook8A2Upw6vF9l/+SrWz0/g7Z/5KJ2s11xT1p5qRdgLZLLgVh5pOl27O5DIAX+kEMFFa/sq3h7bthNFxozUr3oQj9c3SQaoVOCLi3SczQocsCdwqcCr4ZWvpIt1ZqbCA5+IpXH/gUm896qN6At48LxK4LLbjVoPxWyhWClwkYXCAvQ8a0HgQeGBA2KylkUu+N/f9QIWFhKVA+INN5TKp04s0L6LuXU6R7JZxDP50m9m6rVQ5D6vx0Ix3yVZEXidClzeQagWCgAxmUeJJ5lnY6oZKIAxb0BaKFYKPJGgRIBgkOY6qBaKTR2UOUeBE1yRCELZFBKNFkeSKBF4HoEqFspTx+ewf3gjuNuNbacOYeuKMDyjos3a1q1YzBgK3B0lAs9JAhcX6kR40NID7wvoiHv9KAgLJeU2FPhgSEdK8yKfaDKIaSZwAAtXXI2f7LgOq/buoZPz6quNW73ZWayI+KDlc8iblYNML7NraCAhCHy/fwgXWxB4IOTHfLjfujONHfbtMy6qWjArcHUSj4QdgUuVWC+Bc05pmCYF/pM9J1Eoclz/knXYsTparsAZq8wFr7BQFA/c7Sa1LPKKXWLWcC5vDKTyDjQk8sABUbDMgjgfPDSNQiYL7rEOoBWLnAqaAVhgntL6SfUN1GGh5HJGTjdgKPBqfTrrIXArBS7PS0sCLx+k1vb7K6fTqwOcJHCpwDWNzptsloKa6qCnNjbeu5dSjS++mOJiiUTVOiizCUeBAwDc0Qi8hRyS8SbT7KpaKO7Sibrn2BwiAxEKAj75JDYNhzB8+hhNwhkexmI6V7p1dQuFUJCRaxGVnggNlFUilJAFrfjCAoqpFNJuT2lZAwEdGY+OYisKfHCwTDnE0nn8wys/gGy0jyZZyMCMIPCRiBd6IYcMMxH4uefSYx39QXPBEBZ8IVy0LlrxdsinYTI8VD+BT0zQ30UX1fd5swKXBN6IAq9loQDAS15CpHv//WUEXixy/PCJ47hq0yA2DgWxY00UBycWkVFzp2sQeDpbKI/J+P0lL9otFHimYCwvoXjgcvBftJhOzznH2HwKnnwWi0Xry3w6kUFeTJWfkwSeSGA6rhJ4DQtF5rnLQXNkhJS82r9SRSpFx2L9euO1deuMGI6ECGL+cu84/vT7e+i1hhR4AJOLGeNYyA5JEgcP0rmh5sJL8RMMltcGMlsoO3YAO3fSdu/da1sHhXNOhaxCDoFD6yeCyDbbVk0QeCpbMDxHAVWBP3l8Hpeu7wO79FLgySdx7nAQ58yeQnLjucgVOdK5YslC8ekexHU/CiYFPhkexIpopY/bH/BgUfTFLCSSyLj1koWiuV3I6z7wZvPAjx0rU98AFbKaDUTx9Hd/RqmFEooC9xTySJoJfPNmerSrcCcxOoqZ4dXw6xo2D4cq3g77NEyEBuon8Oeeo8d6CdychWKlwOWFZUXgjNkqpzLoOmWp3H9/WRDzkcMzODGbwvVX0IBx4ZoocgWOg+NKINqKwK0aGkso9pFbEL0ayExk89A1Fzxul+GBW1gosXQe8UweeiGPqYy1FTaxYMQOZopaaf1UBZ6qpcDNg6bVpKI3vxn4whesPy//LxbLzxNhoTx2ZAZ37x2nbJzrrgPe8Iay707EaBtk4xSJNSKV8NS8ODdWriQCllPl1QwUCTkwmJsyyAH36FG6u5AEDpCNYlMHJZ7JI1fgjgIHAI+YBJOfVzI+Tp6sP0AmCDyRpToSKvy6hlSugKnFDI7PJnHp+n6qRDc+ji3FODbNjmFm1fqyABJAs+cSuh/FmAhiihOwuGKlZf+7PqWkbCGZQtqjl3XK4T4/WBsJXE5jd110kXGrCJDqEASuF3JImk+DTZuI3F58sfpvjo7iWGQFdqyJQHNXnkphnwenAv3gMl9WwZfuPYhf7jWldT37LD02SuBmC0VtraXrlPFgZaEMDtY3ZR8gG+X55+kiFk0RfvbUGKJ+D157AcVMdqyhO7K9pxSRYSbwah44YLzn8cDjpXMjVzAIOJExYjBhs4WiENTYHFXV8xTyGLchcBnA1N0uTMuerIlEaRIPUIeFYi5dYCbwuTkqFPbpT9N+MH9e/V+1UYSFIrNu5pM54NprqXel0n1nIpbGQFCvuN5sJ/OMTOg+WwAAIABJREFUj5PS37+//JoA7AlcPv/tb+lxxw76bDhsELhlCiHVXnE8cAC6IPCcqsD/8R9LE1NqYmEBPBJBOle0TCPkHHjkMCXkX7ZBEDiAtfuewurYFE4Mra2ore3TXIjrfiON8NQpJAJhRAYr7QQA0DUXUv4QtPgiiqm0UOAKgQf8YI3U4S59kdsQuHUzBwwMlPLAPYU8EjCRmM9HF1U1Aucc/OhR7PMNWgYw6Xc1nA4OgE1Pl2WKFIocX991GP/vOdPMuGeeIcKzCQhVwMpCGR6uDNpZzcZUc8DrwStfSY93300qmTFMxNLYNBwsedjrBwII+7RyH3z9elKT8vfNHni2UJ69IxW4zwddo8uzTIFnCgh6jVLIbhcrn405YdTD1ooFuMBxOmVNwpLAz18VxmTe6Mk6o8werGmhmAnZPKlo926xoSkqZVwPgefztJ8iEcTFNbeQsu6SZc4Bl5AW5ti8sLzk/nnwQeDlL6fjce215V+SBB4y3U1KAn/8cXrcsYN88osuouXlcrbNjAFgoEP9MIElROBukbJXVHOux8aIPGvVH06ngUwGuRAto8IDFxfQwy9Ow+Nm2LEmSrdIjMFzx0/hAsf+yMoKAvfrbsT1gJFGeOoUZqJDVSuP5YIh6Ik4eDotClkZ5MkCAWgZCwLnHLjtNvuKaDI7wkaBm9upSQsl6NXgLeaxWLSYZLB5c3ULZWoKLJnE0fAILlprPWCFfR6MhwbpiXJ7f2o+hWy+iLi5UuGzz9avvoFKBT42Zt3Y1orAJycbI/DLLiPFdfJkiYCT2XzZucQYw47VUexVCVwWxJKVIE0WSjpXoG48EpLA/f5SvR6VwOOZPIJiIhoTjUVKChwwCHwuCU+Bjv/JRMGytd3EQhpukb8/Lgk8kcBMPIuATn1Ta9ZCOXmS9ovMGJHrIYPEksDf9S7gm9807phVm8tM4NLmCIdLE5fmktbX+EQsUxHABICVUR9czGIyzwc+QPbJ7bdX5vzbKXCvl+5IT5+muza5rJ07DdvPZhIP0LlKhMASIvBSY2N11qMkhVoTRcT7GVM/TAnpQT50aBrbV0dJEYXD5JH9/OcAgCe9IyVFGxK3tj4PWSgqgU+GBhGt0v+uEI7Am04AiQQyml6mjl2BADxZCwJ/7DHg3e8u75ytwiIDBTAUeMQ8jVe2p8pkoBdyWOQWp8GWLdUVuNLgeaeNAo/4NEyGROBJ8TcPixKlZZUKczmaJNEIgVspcJUYJOwUeD0BTAlZIxxQCLwAv6d8cLxwbRT7Ty8aMygvv5xIWeaR17JQFAL3SAVuCmKGFAswrFYklNsFUuBhF30vVnCV50QLjMfSGAl7sSLiw0RBnAPCAx8I6vBp7tpphOaMkoEBsjhUBb5lC3nguk6xGLXUAUDkH4kYBK4UspIWylyiigIPVypwj9uFVVElE2XDBrLSXvc6Cjxef33lwuwInDHjtR07jACn9MGBrtQCB5YggSOmELg8SWQWiB0kgQdkNx5THrgg8FMLaVy6XiGjSy4pZR084h7AQkpaEtJCIQJ3SQIfG8OpYD/6qtQ94JEIXJzDMzuDtGYEMQFACwXgzWUqZ5vKKoJyCrIZNgQeS+XhYkbt8xJkNH9uDp5CHgsFi9Ng82ZS9nbZBOJ28sT6rdgwaF3YKezTMCFnCSo++OEpupMoI3DZTFq9KGrBSoE3QuCNKHDAsFGUUrBmMXDB6giyhSIOTohzQtdJhe/aRYNULlf6PudcBDGV81GSe5kCL/fAg2UE7jHywIGSqBmbT2FdiD6X1TzYO1bZT1baDyMRL5IesS8TCcwkshgM6vB5XPVZKCqBu1y0v+W1+cQTNIitWgV87GP0mkUz4rJUQqUWuIw7zacqFXi+UMR0PIMVUeuZu2pjh0Xdj7/4yj3Y960fGhOszFi7ltbforN86bjIYndA+blarRZ4LxI4Y2wbY+xp5S/GGPtYO1euDJLArRR4nQSeKhF4pQcucel6Ja1I+OCpwWHMuX04IKZJh0oWiosaFSfiQLEIfvo0Tvr7qt8yiQpwemIRGa3cA9fDQfjy2dI05hKkepNBOjOqKHBZObEMksCnpuAuFrBgJbJkJoqdCt+1C+MDKzGyY0vl8gXCPg8mpIWiKPAjJQWuXJSNBjCBcgWeTlMwyc5CmZ42JialUnQetUjgVimpF64hO+l5lTCvvZb8fRnMFN/P5IvgHNYKXPXAC+UWSqUCFx4sY4qFksK6AC03r2nlto7A+AIVgRoOeZGUTbWTScwmMhgMeeHzuOsLYpoHTZkLPjFB78s64X/5l3TuyTRVFevXk7XBeVktcOmBzycrFfh0PIsir8wBl1Drgv/PO5/HHXun8OsDVboFeTx0t2B1XqgKXEJV45aFrLLQXAxhb52B8ibQNIFzzg9wzi/mnF8M4DIASQA/a9uamSEbG8su8PG44QnXaaHIfpjmNEL1NviyDZUEnjt3CwDgmZO0HHlAvEKBuxNx8oQLBYwHB9BXxUIplZQFNXMIKerLKwh8Oqbc7hYKwEOiol81Ag8GK2oxlApZmaG2pwIwm3dVeqRbaJstCbxYBH/gATy0ZoetfQJQts6sP4Ki5qltoTzzDF1A5syAalDTCKXCt1PguZxxnkh/thELBSDF1ddXItlkJl9xN7dxMIiQ1xTIvOYaIqZ776XnggyMUrL1e+BqEBOA0dRB08ifVRT4GkHgg32h8swYgfFYGiujPoxEfFQLBSh54ANBnQi8mgeezRJJmxW1zEnfI/K3X/ISeuzro9K8X/5y5bJe/3qaxPXYY9YWioUHXsoBt7BQAEolHI+lcceTJ3HHU3R+WFlJZbj3XuCzn6183YrAg0HjOrEpJdsf1G0FTjvQLgvlOgCHOefH2rS8SggC1+JCgat5pnUq8LiPlE/IPJVeEPrKiK98Cryona2fT6TyzEn6HUmKfpFG6EnGjVmYocGqpSO1foPwuNcPl1KlzCOi34vzyl3G00+TWtT16gS+YUP55ANQLnCF/w1UEHiauUv2UAmbNtGjFYE//zzYzAweW7cDF9oEMAFhNTGG1PAKkwKngTeezaMoey4++yxNnjLX7agG1UKRBG6nwAHDRmlkGr0Ktxv4xCeAt70NnHMkLSwUl4th++pIOYFfeSVt191303NzNx6rPHC/3yYLxcpCEcdu5UpgYgLpXAHT8SxWCQJfMUKBVXWQTmbzWEznsSLiw3DYi5RQ4LwRC0V2dDfd+ZUKWj3xBFkS4joCQAO0lYVxww3kUd9yS+kum4fDpZnX8xYELrNoVlaxUApFjk/d8RwuXd+H81aGcaoWga9bVz65R0JaKBdcgOdOLuCe58Xd/86ddCdoYbvMiv3YSbSLwK8HcHublmUNrxd5twZNKvAmCHzKRQd6MFR+yyUvwks3mNTkwADwmc/A96cfQl/Ag6nFDNwuBp9QTD6PG4t6AO5stlTYaSI8iL4qFop3QDk5/OUnnjdMJ0F8XpkIIu2T3/99696BgGUKIUATeSoyUOR2ASUCz7g9pQkRxrr5Sc1aZaIIT/6xdTuw2qJkgIQc6OIDwyWCXUznMLmYwWBQB+dGedSGM1CAcgvFahKPhJnAm1XgAPBXfwV89KOG/WGOLwDYviqCQxPKIOz3U6laqcAVCwZAeRqhJArFQpEBUc45ElmbICZQUr6SpFb56ftrR6KYjmfLjvH4giQ/L4ZCOnIuDUWXG7lYHNl8sRTErGqh/PCHRNCvfW3561KBP/EEFVYzp+VZIRQCbrwR+MlPSIkDyPiCpabKVhbKpCDwEVsLhfal7nbhlusvwfqBAE7PN5GmCxBBr1kD9Pfj67sO4+b/EFULP/Yx4HOfqxBPgKiD0sEMFKANBM4Y0wG8EYBligRj7IOMsd2Msd1T9XSrroKMP2j0xVSnxdZpoYwzOtCDpqmtUqVetqGyHCRuugm48kpsGiJyVT1ln+aiLBSgVFthIjSA/ioWim/I+A1mKtrki9BvJBeUi/+BB8gzvPJKGqjicVTAhsAX0/mKrkAADIUh9mHOrZVuR8tgl4myaxcSK9fgZHRFWRDWjIhPw0BQp1RCocCl+t65rq+0jpiZIYJvlMBl70xVgVsRuMwukMWHmlXgCiT5mhU4QOdTIlsw7i4AslGkNSAbGsuO9DZZKGYFnsoVUOQwKXAN8Uye1LWYjSltghVeOk/XraR9rd4VjCtT0L2aG31BHVmfH2lx7g2GvPB63PYKvFgEfvADKuoky+ZKrFhBg+pDDxn+dz348IfJavrnfwYAxL1GcHzOgsAnYiSoSs20Tdi2Moy+gAefecsOrBsIYHWfv7YCt8Mf/iHwkY8AAGYSmVKON66+2gjOmiCzeTqJdijw3wPwJOfcsgQZ5/wbnPPLOeeXD9c7QcMGuUAQuuyL2YQCHy/q0DVXRVBhRcSHWz9wBd595XqrbwMAzhVTxVVFq7ldSAtbRlYxmwr2V/XAA8MGgbtNCtwvimMlpQIvFil/+JprDGIyz2qMx6nolCWB56w98EiElJMIqmXdHmsCt8oFF0WdTu+8AmCsql3EGMNVmwZxwBUGlwQ+Tdt2sUrgzQQwJWRbNZmPbC6ABNBt+/btpBiBxuqg2CBZaqxQSeAy66dsGro6acTcTs3GQpFKe15MYlFrgUvIpg7JbKGkfMdmKXNqxGcQOGMoC2TK4y3LsI6Evch4vMiKLC9podimET7yCN11vve9le/J/bqw0BiBn3MOdUYSHW7iuiFw7CyUkbDXtlnCcNiLp/7mNXjTxWSrrenzYzGTNyynRvChD5F9JtYlnSsaTWBsMJfMob+Dk3iA9hD4O9Fp+0QgFwjCm06S2hgfp9uWUKg+Ag+FMJnKYzjktQwqXLt1uKKetYpNgsDN/rlMTcT+/Uj1DyLv1hD124+64RWDpf9dpr6KmmivlpHlAvbtI3WqErjZB7fJQAGqKHDZnkpR4LIqXRm2bKGLSd2/+/YBU1M4egFdmOb9YcZV5w7iiB4Fi8WAeByHJxNwuxguWB0R65gzCLyRFEIJ2djYLgccoPPkXe+iu5kTJ8hCCYfrL1trgZJ61iu3X5J6WZOQq64ypoBbdaSXULJQon4PhkJevDhJg16iVIlQDWKaClolk5g8PU3KVKyaLxTAucOhMgIfF3VQpH88HKZUwlyMfqtmEPP736ftsJoJrd7ZyABmvfjoR+nR70dc/HRfwGNJ4BOxNEYsZmGqUK91Gd9qWoULyLuBWYu7AolCkWM+2dlKhECLBM4YCwJ4DYA72rM61ZEPhBDIJCmtamKCUncGB+sj8Cj5gENNVgY7d5jI1ewpZwMieHHgAOIDpDyqqdLoYB/yjHa7FjTlT2/fjrzLjZfd+mXKPpH+dxMEzjm3V+AA+eBCgXv8PnsFDpRXJRT+975tlyLk1SxroKi4+txBKmgFAKdO4ch0HOsHAqXc2JICHxlpztKQtcvtZmFKyIkbP/xhczngJpQsFItBX5J6mUILh42mv+aO9FYeuCDyLSMhHCoRuFDgermFAoiBUOSCx4+NYWXEB3dekJ6u4+J1fdhzfK7UHGIilkbYp5WyaEbCPiQ0HQVRDVN64LkCL/nQJWQywL//O/CWt1j722qXo0YH5Wuuoe9Eo6U7jjV9fksLZTKWoZr2dWK1aLLSCoFzzks1TuwmFwFALJVDkXc2BxxokcA55wnO+SDnvMkSgY2hGApRTfBMgdTjypWUmlSPB97Xh+nFDIZC9R9wFZtKFko5IRZk9Hl+HvP91LFeepdW6AvpJW/PEzQpwPPOw7++9aM4/6mHqPP1rl1E3OecY5BTnQSeyJJfahnEBIjAhQIPhAPVCVy1UX7zG2DNGhzrW2mt7k04ZyiIrLygT53C4ckENg0FS9+NpXM0HfnCC2suyxKqhWKnwAEjjnDbbQ1Po//yrw7izqfLrasSgXsrCbykwHOmCVlyJqf0wGtYKACwZUUIL07EwTlXGhpXEnhMmY2ZOnmaaoFkBcHoOq47bwTzyRx+e5RqvMsccInhsBeLbi+4SBIYDOmlYH16etbI0QaAX/yCJniZ+4dKSAvlwgvrb48nwRjwne8AX/1qacBa2+9HJl+sCKjKNMh6YdRHaTKQCTruMi/falCRmDkDszCBpTQTE0TgwWyKDqxUUX19DSjw5gl8/UAAbhersAwKAUOBTEeGanafDns1LHrpApYd6VU8dN3bce/L30yR7TvvpIueMbqgBwetCdzjqQgk2RaykhgYKO23cCRQmYUCGBMuZCBTNjW49lr7FEUTGGNYewHlyhZPjmF0JoFzR0JGhkomTwNEI/nfKnyil+P4eHUCB8hGefppmt5dp/8dS+fwlV+/iJ8/U154K6k0FzZDEnLC3P7vxhup4bRYz3QNCwUgBb6YyWM8li6rBS5hlJQ16qEUT5+mcqoKgV+7bRhezYV7nif/30x+wyEvkpqO/GICfo8bgYnT+L1P/xke/tf3I7hiCDjvPLKB7rkH+N736Lde/WrrnTYyQudsI/63iksuAd761tKAJbNJVMJM5wpYSOUsC1nZYShEvTJbUeDqOsxWUeDycz2fhXJGEYlQW7WsSYGbCZzzsg7bVIkwiplEFkPh5naorrnwpotX4+pzB8teL4SNtk+T4eqTeAAitKRfEnilBxsNeHDLGz9M9afTaUO1AXThWxH4unXkayuQqWW2WSLKpJ9gJFhKyQKoU8t8Mku382vWGAR+4AANnK94BWLpXFkp3GrYdimR8+FnDiKbL2LTULCkHLOTwmO3mp1XD7xe2geFQnULBQDe8Q7aT7FY3Qr8oUPTyBd5iTwlqmWhBK0sFIBI8DvfKZWwrZWFAgCbRygoe2gibhnENLryGNPp3VOTZBdIAvd6EdA1vHzLMO55fhyc84oqfnI6PU8kSDXefDNWP74LT6zbjoW/+VvgS18iy+21rwV+9jPgne+0L8Xr8QDf/jbNvGwBcgCUpWFVH3xSCI6RBiwUl4thVbSFTBQYJWLpf3sCPxN1UIAlRuAsHEbo/2/vzKPcuuo8/72SnnaVlto3u5Kq8h4vsRMSnD0mcYBsECAMhH3SkEBDGOjD0KeB9IE+wzkMSzNMZkJCWDvNEDoNpGdCICTEIYkTByeOXV5jl6vK5VpUm1Talzt/3HefnqQn6Wmrssr3c46Pq7S+V+/pp9/73u/v94tHWBc7HsDd7nwJ5de/ZlkAD3YLC4g7XUilaUHLkR6+/d6tuPPSbKcKdWQy8HG7V9c3btTOPpTc963GbZMwk5D34dOfBu64I3NnoQBewIEClMjA+Xu6HZhejCm2tx/uOYkrv/kMCzDciXLiBFuwkiTgbW9DIKIvAweASzevRkiy4uTrrPCjv80Jm8RaoZr4uDou1+jg/7wyit3ffY5tr9Wa0ehLZeAdHWwoAKA7A//TEeYZX8wJ4JrBVyaziFl8fmtEtuhlSSg5GviadnZ+HZ9aVC1iamXgSaClBZQQNC/Oo9tjz/SIkYujbtzYjvGFKF4bncdUMJYtoTgtiJosIOEw+tOLwM9/jtFb78Tnbv4i/J/5PHDffaxw54EHWFJxzz1F9w0f+UimSrFCFmPsHNbKwEsV8RSiy2OtXQZeoEMioOpEKAJ4BoOcgcdm51h2WkhCGRpil9U/+xn7fWFB6YPSUsY3th7SrkwAH7V5i3Yi5CTkoG/TkFDcNolVRba1Ad//PpNNOGUE8ECkQCtZjqrazONxIpGiysn5+P4zCMaSODwRYB/CAwdYIYrfz4pR+vpYBl7EA66mx+fArLsFiVGmI1/Y4gAhBC6rCdbTw+xBZWTgj+8/gyMTQYzOhVkGzv3VpTJwgGWOgK4MPJ2mePaodgAvZiO0adkINYgkUiAEsKjXTHIklGanBT6HGSemgspVgFp3z1rENJmQ9LWgNTSXJ6EAwK717TAaCH6xdwSpNM1qAsUzcGs8ine/9BsgkcDoXf8ZgGqog8UCfPKTTEarMjjrgc//5IuP6gy80Ci1UjAveOUauDqAF8vAefOtYjUhtaChArjR3QQjTYOeZMN0FQklEMgeosp9vo88wuSUhQWErCxYVupCKYTFakFULkMeNruLdiLkJJ0sA7e581fw3TYJ4Xgq045UTU8PC6K8fWogwC5redm7Cu51LbjQqMrAvR62HZOBGIb9IRyRm3YdGg+wzHhxkWnsL7+s+JkXIvolFACIt3egbXEGHrukXFY6LSY4RofZAzT2QYtwPIl9p9lC3OGzwexFslIZOMCuaN797kwmXoQDZxbgX4yjSS6WydqOBJdQdNoINYjKrWSzbK05EgoADLQ5syUU1XtmDXUAEPa1oCPoz1vEBFg2eGmfD799nXnyszNwKyKSBa54GNc/+zhw881Iy0G6ZEfCOhGKJeEwG5WrZnUA58VKnWVm4N0e1h8lqfX50gEP2h67VHQRMxBJwGQgmldotaShArjJw/Rm45uyJtveziQUSrO7FPIAfvw4c03EYgiY2WVYa4WLmIWwSkaEZVfJCamppAYOAGm5+b29STuAA8jvTQLkF/O88ALbdz40QIWigeuQULxeOYAHo/h/8pgzm2TEoTML7FL4H/8RePFFJcim08wRoVdCAQDzqh60L84q2TfALv/d4yMsc9bpyd57alYZMXZ0QhXAzWZ98y1dLlaurWPR9E9HpmAgwA0bO5SueJxInGXPVin/I2SXm6OVCuCR3IHGQObKyJNp6zDY5sSxSZaBc+mJw4c68C/s8f4NuHj8CLpd5iwNnHPjxnalslMdwJtsJsQtNjjjETiDc8DnP6/YG0v2BJd5Y2whb62gGnjfF/6ZUgfMkdkwfA5zYYmwAF1yfxTNugcdzIUTIIQ1LSsWwBciCbhtUl0bWQENFsAlN2ucZBlmwwSUDBzA6MlxPPIXOTOfmmKeW7udNccBMC+xAFGpC6UQNnmoAzUaMW1z61t1lvfDWSADB0oEcC6j7NnDikMuuwwA8MVfvY7HXmX3ZabxlA7gzT52RTAViOLJQxPY3OPG9tVe1sGuvR34h3/ITFwBEIwlQWmR7F7r7Qb60BGcUVoSsG0zwTc5VpZ88vxxP8wmA7rcVhydDGSCU3e3Zj+KanjmyBS2rfKi12tHJJHKytrCcY3sWYZLKOESwSySSOUXj61Zw2Sqt789c1O7C4FoEqf8obx5rgBwYasDj748gm8+eQT7+rfBE12EbeiNPA0cYF9GHPXgbUIIDHJdwvSaTcBVVynbVnKwMZiEc+sPnsft//MvGJkJl3y8HoJy61yrZIRVMmT1QxmdDaPXp92HvhjVFvPMheNKgdVsqLAGvhBJlJXgVEpDBXCL3MnPdloO1FwDB/DEc0O4/3dDrEnP5CQLCu95DxuCCmDGZIPJULz0uxKskgGLZjtS7R2gxKDr9Y1y8HT6mvLuKxrAedtOdQC/+GLA6UQ0kcJjfx3D1/9jCIuxJIJRdgmnlSECyArgPh/7InltdB6vj85j96YObOxuwrGJxaxOeJxApMCknyI4LlgFSyqBu9Zl9rnJakL71GhZC5h7jk/j0j4fm3yjzsD1yCdlMBWI4o0zC7huXZvSvjWkyqhZL3DtLzA2NZ4oMkshIvGUZjMs7NqV5fAYbMscH6eG7/yHH9qBW7d244Fn38Q/Q15kf/rpTAaueq0ujw2be9wwGQhachb0jfJ6zpt33Q2QzLmjR0KZDsaQpsCxyUXc+oPnsffkTMnnlCIUSyq99z02c5aEMjIbxqpKArgsuZRsK1uAuXACXrsZPodUvJBHp822WhoqgJu97MPvHB1mmWdzsxLAJ0eYbPLa6HymUOMjH1GKD6YNVvgc5qz2rbXAKhkxZ3Ui1skW0Ip1IuSs/+K9OPyN78Ldmd8bhi+CagZwdTFPLMY06SuvZDfNhUEp0wl/8sKw0omw4CWcKoBbHHb4HGb8+36mje7e2IFNXW7EU2kcnwrmPTWjr5dxgsrbvsWQyc6akYQvMKs7A58MRHFschFXDrZgbUcThv0hJCVz1uvXimflxv/XrWtTFgrVOnjuPMxcbJKxZK+MvHFqBRiQnSgzobhmBt7itOBb79mCxz55OXo2XAj/qoFMADeb865M7rlmAHddvjrvs3Dq0qvxyPabEbn1dgBs4hSgYzI9Mra5+2/ZCK/DjA8+vBfPH/eXfF4xQqr5n0xzZuddMpXGmbkIVvnKb4XQqWTglS1kzofj8NgleO1mzIbjmrNGAb5GVL9BDpyGCuBEvox3nxlmLUKNRkWOmBlnboFDJ6eYK6Wtjdmd5E50k8RSc/kEYAH8a9d9Aoe/8k0A0KWBN13Yi/Vf/qzmfUoGrmVRcjoBjwdTh99E7MWXWBCXA/gpPwuMPV4bHnzuJM7OR4vrg+rhD2Yz2lwWRBIprG134cJWp9Kr5JDGKC7+5VLW1QzvAa3qC947LxfH6AzgPCBcMdiC9R0upCkwn5ZP4Rpn4E8fmUSn24p1HS5lBqpaB9eaxqPGbjaVthFqaeAatDotyt9aK4BzdvT58Pg9O9Fy603s6iwYzNK/Obs3deCrN2/Muz29bh3u3/U3yqI2l1BKDjYGm44DsIEoj9+zEwZCFAdPpQSjmd7nXrtZkVDOLkSRTNOKMnCnxQS3TapYQpkNsf4mXocZ8WS6oLwUlDXwetNQAZx3mnPN+TMzAOUMXAqyQDN8RCWvGAwsCwcwDkvNLYQAO8mPtfbhZCcLQtXahopKKABSXd3Y/8IbOPDoE+yGK64AAJyeYT0s/tu7NmMhksDTR6aK2/zUTestFsWOtXsT+7v2NTvgMBtxSGOSC7co6rURAsgEcFU3xW4/+5nqDOB7jk+jxWnG+o4mrO1g54Kf/5lqGMD/dGQSTx+ewg0b2kEIUSQUdQZeUP6QsZuNpRcxEylYi7wGhxCi+MFLNQ8DwBw2kQjrpVPGgIxWp2xdlF1C5UgoPANvdprhtklw26TsiUsVwHqfs7+Pxy4p1rxRudsTMSEFAAAgAElEQVRiJRo4wGSkswuVBfD5cAIeu1lpUlWoGlNo4FqoW4XmBPCmaAjrOlyYOiEPPeA+3/vuA77/fbzq7K65hRDIjMPihQXFOhHqoVQAj7R3oiM4A+fLL7Jm+bLz4pQ/BLdNwhWDLbhhA9t3l6XICWQysb+nwQAYjUpF200Xsb+rwUCwscuNg+P5GXhFEgov9Vdl4O1+9nN01QUln55OUzx/YgY7B1pgMBCsbnbAKhkwFZdlgBpJKC+dnMGnfv5XrO9swhduZE6ViiQUc2kJhdkI9X0EeUVmsQxc4eqr2XE9eLCsAH7VmhZcv65NKY5RMnAdEsrMIlsw5RZRl4b1slxCsVRGA1dl4CNyAK8kAweAbo+14n4os6E4vHZJKdCZ01jIpJQiEBUZeD7qAM4DtCyrNMVDeN8lvbDNybobr7RragK9915My61kaw0/yc8u8ABe3UGTjAbYzRojzmQWWzrQHZhC79HXFfkEAE7PhNEnOzw+t2sNgCJFPByfT1Wl14H3bO/B2vbM33hDVxOGxgN53egqWcSEzcYG1+7bp9zUMjGCOasLQavGFPAcjkwE4V+M4cpBtm5gNBAMtrkwwd1gNcjAD4zN4xM/2Ydenx0/+diligRVSEJRz1LNxWE2ZaYNFUCvBg5kFjK1FjHz8HgyfUg0JJRCbFvlxcMfuQSS3GGSFxjpsRHOhOJwWUywyLq5Uz3qrUIWY2oJhbWUpZRiZDYMk1wWXwmVDnaIJlKIJFLwOtgiJqDdUjaSSCGRouUlOBVSf5W9lqhbV/IMXJIQtdjQjTi29DfjUFi+5FdV2gVjScST6bpp4ABbYHOYjUU7EepFqcbUYM7XhvXyPqZ3XqF8A5/yh7Cjj8kiG7qa8KWb1mVZ9jRRNbTataEduzZkVydu6nbjxy8M45Q/hIG2zN8+EE2CEJQ/bfuWW4CHH2Z9aux2eM6O4rS3E85oEm35hhycngnhD0OTmAnFsX9kDgBwxUDG672uw4UzUfnLpcoMfD4cx0cfeQUeu4Sff/wtWT0sFBeKWkLRmIepxmY2ao4BU1NKhlEzKEsojgLOlzyuv54tcpczYzQHIjtRohpOpFxmQ3H4VFe4TepRbxUQT6YRT6aVod8eu4SkXH8wMhtGj9dWcJBDKbo8NixEEliMJfVJUjLcBeO1mxWzgpYThUuMIgPPxWhEzCzbxlQBOmB1oIfEMNjmQmdUDuCqXhd+2bSfO0qtFqgzcD0OFD0UC+DT7oxzZXwzy7JiyRTGFyLoa84E7E9e3Z/l+dVElYFrsalbXsjM0cEDkQScFlP5jp7bb2fa7O9/DwBwnTmN055OpW9LLvf/bghf/4/DeGjPSZzyh/Cubd1ZvS/WdrjwWN9bELr/61Vn4P/9qWOYC8fx4F078vprcCkqGMvOwB1FsmHdGrjuDLwMCQXIVJpWEcABdn7rklBCsawBvtVKKLmdF/lnaz6cwEiFHnAO94KfLTMLzzSokhQNXKuYp6JF/gpprAAONhcTQKZ5fSyJOcmO9nQURgPBWhJGxGzLmhLNV8jrk4HLGvhCRJcDRQ/FAvi4q1n+vwVDJrmIaZZZCPtayjypfb6il9j9rU6YTYasSS4AC+AVnZxXXcXe8/HHgXgc1vExnPZ0aGZqlFLsH5nDuy/uwbGv34S9X96Fb79va9Zj1nU04Yy7Da/9p7+pqohnaDyAX+w9jbsuW40NXfmXAsoiplpCiSWLSig2HQE8WoaE0t5kwRduWIN3bu4s/WCAzWq0WKoP4KUGG8vMLMbhU/nKnRZTwS9mPSi9z60ZFwrAAubIbBirmysP4N2eyrzg/IrKYzejySbBQApk4HyNqJxF/gppuABOZR181Mz+PzoRQNDigDfJDsbqVAjTdndWAYpfXmCpRwDnH8C5cKK2AbxAp7MRG7P/vdKzEcfkSS3DsoVQnYHr4v3vB+6+u+DdktGA9R0u1hNFRTmtZLMwmYCbbwZ+9zvgxAmQdBqnvV2aAXx0NoK5cAIXr/YU9LJzJwrv3VIJlFJ87XeH4LZJuO9ta7Q322hgFbeypk0pRbiEhGI3G4tWMCZSaSRStOhrqCGE4NPXDWKwXWPmpxY2G3DDDfkDh8vEKhl0uVBmQtnTrlxWKa/9QDnwv7XTkpFQALaAOR9OVLyACairMctbyJxTSShGA4FH9oLnwj+7IgPXwNHCdN4nJtlJNTQeQMDigCvKgllHZAF+uxvHJjMfaiWAV9gLvBjqS2BPlQ4UTrEM/ISjBfNOD17ZdjWOTcoBXLYQlh3Ab7+dlckXYWO3GwfPLGQVLLBWshVmF7fdxnT3H/0IAHDa26G0DVXz2hjT5rf0ePLu47S6LGhxmnHkbL5TRi9PHDiLl0/N4gs3ri0qgTksGU03lkyDUpSwEZqK9gXhWa1eCaUiHn00M8i5QvRIKGzMWPYEdpfVhFA8lT+OTSc8+KsXMQHWbwWo3IECsPFxkpEobha98GDNBxV77ZKmC4V/dpdiEbPhArjJzS5xfzmaQDyZxtDZICIOl+IDdwdn4Xd4WUWmjD8YAyGoy4DRrAC+FBJKwoD7vvckxt/2TuVLilsI69F7eENnEwLRpOKyAarIwAGWFdpswIMPAoCsgecHutdH52GVDEqWXYi1HS4cnSwvA6eU4uhEEP/jT8dx/+8OYUNnE+68ZFXR56g13WLDHDh2sxGxZLpgANMcp1ZrHA7tmZVlYJGMJRcxA5EkkmmaFcB55lxpFp47Po7bc1+Xv9ir0cCNBoK+ZocyLFov87wTobwtXrtZ0wfOJRSRgWvhciEtSRhOW/DHw5M4fDYAyesBkYc6SDN+BJp8ODCWCeDTi6x6qtQA3kqw1SmARxIpzT4k/mAcLS4rBtudODkdQiKVZhbCKjTBYnCtcVSVrQSqKVKw24Hdu4FgENRux7TDy+Y55vDa6Dw2dbkVS1sh1rY34dhkUHemNzobxtu+8xxu/O5z+NZTx9DtteNb79lS0tHgtJjYIBEU7wXOsZfoCR6Ny8Mc6txutFqsJkPJDNwfypco+Rd8MOfq6ou/eh3f/sOxku+bO7yCf7YOypXB1QRwgLXofXO6vAA+G2ZWSe408zrMRRcxS9p4a0DjBXCfD6SrC10eGx59eQRHJ4KwtcmT6VMpkOlpmDvb8fpoZuFtZjFWFwcKkN1OtGYSSoF+KJRSzIRiaHFZsLbdhXgqjdMzIZzyhxQPeK3h01BG5zILPoFosrrLw9tZrw3S3w+nVcpb7Eqk0jh4ZgFbegvLJ5wNXU2IJtK6PoyBaAIf+/ErmA7G8I3bN2Hvl6/Hb+7dqblwmYvDYlSCijKNp4ilj99XqJxeycDP9QAuGUv6wLXGhznVo95UPH/Cj5+9OFyyH3fGhcL+PpLRAJeFXQV57VLV8sRAmxMjs2HEdLQJ4MyHE/A4Mu/rs2sH8ECE2RPrkTDm0ngB/CtfAXn0UdyxvQd7jvsRSaTQ1NkKJJPA6CiQTsO5ugfHp4LKqnE1w4xLoS6F1jONRw+FqjEXIgkkUhQtTgvWyItZB88E8iyEtaTLYwUhmQw8mUrLvcCryC7e+U62oNnfD5eGX/joRBCxZBpbdQTwbavYY7hPvBDJVBr3/uKvOOUP4YEPXowPvGV1WdNcnBZJsREqEkqR4MvvK1SNyQO7nlL65UTPIiavwmx2ZmvgQH4Anw8nMBdO4NXTxY9XMEdCATKfr2r0b85AmxOpNMXpMlrfzoXjWe2ivQ4z5kKJvIZWS9XICmjEAN7fD1x+Od6zo1e5qaVb9oQfY5dmazb3I02Bh/awvij+xXj9Argp8wGs1QTqpgIBPOOmMWOgzQkDAf54eLIyC6FOLCYjOpqsGJMzcP6BrErf83qBH/wA+Pzn5QCevZ9c59QTwC9odsBtk7B/ZL7gY7jTZM9xP75x+ya8tV/H4IccmAbOJRQ5gJfwgasfm0sjZeClmlnN8D4oKhshr2JVL1DzSkYAeGposuhr5vrAgcznq1r5BGAWWQBl6eBzoewA7nNIiKfSWW2GAXmNaAn0b6ARA7hMr8+OnQPNMBoIWnvkop2jRwEAPWv78I6LOvHIX05hNhSvawYuGQm4fForDdyjBPDsy7PpIPu91WmBVTJidbNDaXtarwwcAHq9djZ/EhX2QdHi7ruBK69kdrMct8bro/PwOczKNPJiGAwEW3s9RQP40NkAfv7SCD5xxQV4X4nFykI4LSZFQslo4IWzLLuluIQSbZQArsMHPruY7c4AMpmzOgPnCQkhwFNDEwVbsQIsgFtMhqw1EE8NM/CKAng4kdWsrlA15lI1sgIaOIADwNdu3ojvvG8rzC1ya1Q5A0d7Oz63axDhRArf+cMxhOOpulgIAebP5R9CPfMw9VBIQsnYIdmX0WCbUwl+9QzgPV4bxmQJJdOJsDb7qiWhvDY6jy09bt3jqLat8uDYVLBg5d/JaWazvGNH5dWaDotJcVTodaGoH5sLb//bWocOmbVEl4QSisNlzfRBATLTmtQL1LwU/YqBFozORor694MaZe48YNYigNvMRnR7bGUG8HiW1bRQNWbFhW4V0NABfLDdhVu2dGXmB/IA3taGwXYXbt3ShV/sPQ2gPkU8HG4lrLkGHtYO4LxkmVvs6mUh5PT47DgbiCKeTJcellwmLmt229HFWBLHpxaxtddb5FnZbFvlBaXAgVHtLJw3LuIFHJVtpwnxVBqxZCqziFkke+b3FQrgzxyZwmCbs6ptWgr0+MBnQvGsMnpAJaFkBXAW6O7Y3gNCgN8fmij4miFVIyuOt4YZOMB0cL0BPJFKIxhNZi3U8s9crpVQBPBykYc64OhRQJKUXtef3bVGyeLq0YmQY1Uy8Fpr4NkZpX8xBqOBKDocX8isl4WQ0+u1gVLg7EKksk6ERcgtuX5jbAGUAlt63bpfY6tc7LO/QAA/Mx+By2qqSvbh2WAolirPRqgRwBdjSew9NYNr17Xl3XeuYZGYnz1dxKbJXF7Zny+rZIDRQLKOLa9k7G91YvsqL546VFgHD2ll4PI5t6pG5/tAmxMn/YtF942TaWSlcqE4CmTg1bq0ymBlBHCegY+MsCZWctC+oMWBd21jXerqZSME2Mlaq06EALNMOTRayrJ+E5mxcEoAr5OFkMMXjUZnI5kqsxoF8CarKesy+3UdFZi5uO0SLmx1FHSijM9H0F1lputQFabwWZdFNXDFRpgfwJ8/7kciRXHt2nM/gHObbKxIMc9sThUmwKTFXHmMr+l47BJu2NiOobOBrPoCNVqdAq9e24bbtnZV3EY2l4E2J6KJtK6eKHNKFWa+hKIebsxdWiIDLwcewCnN6kIIAH+3ex3u27UGGzpLe30rxSoZa9aJkKNVjZm7GHtBC3NgbOrSn61WAl9MHJ0L17zKzGU1IZ5MK37c10bmsbrZXrYktK3Xi/0j85oLY2Nz1QdwZVEulkAkngIh2TUAuXCHitYi5rNHp+CymJT2v+cyeuZiakkoQH5HQnU71hs2sGZ0fyjgRmG9wLOvcLav9uK7d26ruI1sLrxF8gkdNQR8oVLtQnFZTXkNrfgX1lI0sgJWSgC3WjNd9dqze1q3uiz47K7BuprqbZKx5t+4TRoBfHoxu2GQ2WTAM1+4Bh/Z2VfT986l022DyUAwOhtGIJKEgQCOGvmX1VppKk3x4skZXNLnK/GsfLat8mAmFMfobH42NT4fQbcOR0vx7VRLKCnYJWPRRVZ7AQ2cUopnjk7hyjUtJatMzwVKzcVMpylmQ3HNK1ynJbtIaz6SgGQksJuN6GtxYE27s2AAD8VS+lvnVsiA7ER5U4cOzuUftdPMIMuZagllKVvJAlUGcEKIhxDyGCHkCCHkMCHk8lptWNlwHTwngC8FV61pxa71tb0c9tilPBuhPxjL0/J9DnPdA4HRQNDlsWFsLqJ4XPU6REqhLvh448wCFiIJXLWmtcSz8lEKekazZZRgNIFANFn1YqEiocQSbBpPicEKJqMBZqMhL4AfGg9gMhBrCPkEKD0XMxBNIJWmWa1kObkSynw4DrfNrJw716xtw6un5wquE9S7FJ1N1jHrWsjkQTpXKsotp1/KRlZA9Rn49wA8SSldB2ALgMPVb1KFcBmlbek/GH97/SA+f8Pamr5mroRCKWUSyjLZznp9NiahRKpoZKWB2i+859g0CMmeuqOXte0u2CRjnh+c65s1k1CiyZLzMDlsLma2hMIntV+9tvwvqeWg1FzMTK/9/Aw8dyrPfI6PeudAC+KpNPaemsl7biiW1D99qAoGWvU5URQNPEcq9eU0tFIkxho50kpRcQAnhLgBXAXgYQCglMYppYWrKeoND+DLkIHXg9wAvhhLIpZM12Uwsx56PHaMzkbYCnsN9T0uoQSjCew57sdF3e68LEcPJqMBm3vceU6UWlgI2XbmSCg6ArjWVJ4/HZnC5h432lz6y/iXk0wGrh3AtfqgcJwWU1Yzq/mcnvmX9vlgNhrwlxP+rOel0lSeeFT/AN7f5sSJ6cWiRUUA07ltkjGv/a/Xkd1StpEy8AsATAN4hBCynxDyECEkzw5BCLmbELKPELJvenq6ircrwTJKKPUgN4DzTKdZ41J1Kej12eBfjGEyEK3pyckD4/hCFH8dmcOVg+Vn35xtq7wYGl/ICjZn5BYAeqo6i+FUSSh6Z1nazEbFsQKwYLd/dL5h5BNAvYipLaHMhrKn0avJHeowJ0soHJvZiB19Xuw5nh3Ac4c51JOBNifmwwnNtrBqcqswOV67WWklACztPEygugBuAnAxgAcopdsAhAB8KfdBlNIHKaU7KKU7WlvreNm4jBJKPXDbJEQTGXdGbhXmUsOthMcnF2sawPlrPXVoAsk0VabOV8LWXg8SKYoh1YCHM/NRSEZSdR2A3WwEIbKNUKeE4jCbEFa5MP5ywg9KgWsaRD4BmA8cKLyIWWxcIdfAeXa7EMkPgjsHWnBkIohpeW4tkOmD4lyChlCKE6WEjDIbims6zXq8LLHhi7WNtIg5BmCMUrpX/v0xsIC+PKxACQXInBB8MPOySShyW9l4Kl3Tk5Nn4H8+Ng272YiLV1Vurdvcw67C+NQWgGngnW5b+QOYcyCEwGk2YVGWUIrNw+TkzsXkE2DW19HSWmsUH3gJCUWrkZvTakIyTZXsPVdCAaBccb3wZiYLz53GU0/0WAkppTh4ZgFr2vOHY/BWxLwtQCDKnDbFLKa1pOJ3oZROABglhPDVu+sBDNVkqyphhWXgvFCGVz7yDLyeFaXF6PVlJIhaauA8y4ol07j8wuaqiqE63Va0OC04oA7gc+GqFzA5TrkjYSRRfCI9J3cu5mQgCrdNqu8YtRqTWcQsJKHE0WQ1aR43l2qoA+9EmJvFbuxyw2OXsmSUzDSe+v+dOpus8Ngl/K8/v4m9J/MXUwFWRzAVjGG7hr11QydLGobkubELchl9rVxapaj2a+IzAH5BCDkAYCuAf6p+kypkzRoWvOsp0ywhuRn49GKcjYWrY8+TYrQ6LbDIH9JaSiiS0aBkK9Xo3wDLkjf3uPHGmcxC5vh8tGb9RhzyQIFKFzEnA1G0N53bzatyKe1CyS+j5zSpLKL8PM7NwI0Ggrf2N+P5435FaslM41mCkWQGgh9+aAcICN734Ev46m8O5s0y3Xd6FgCwXePqsL3JAq9dUgJ4rV1apagqgFNKX5P17c2U0tsopcW7tNeTj30MGB5mgwJWAFyy2DfM/qQzizF46zQWTg+EEGUhsNatMnmmVon/O5eLut04MbWIUCyJeDKNyWC06iIejtMiSyixpD4JRTJleZwnArGyhkicC9hKBHCtMnqO2nrJqzC1+gVdMdCKiUAUb8pdIxdzpvHUm0v6fHjyc1fiozv78NOXTuMrvzmUdf++4Tm4LCbN+ayEEGzoalLWXZaylSywUioxAcBgYMNyVwgDbU7sHGjGQ8+fQjSRksvolyf75vCFzFqXCbusJnR7bLigBj1dtvS6kaa8YCYKSoFuT22CJh8+EU7oy8AdFmNWKf1UINow9kGOYiMs0AtlZlG7jB7IrrLlPmqtnvn8yuv548ylljvQeCmwm0346s0b8d7tvfj9oYmsUWuvnp7D1lWegiX8GzqbcHQyiGQqLdtsRQAXALjnmgFMB2P49V/H6jpVSC+98lVBrS8R331xDz51TX9NdMNN3UyTPDA2r0wR6vbUpnud02LCbCgOSvVNk7eZjcq0lnSaYioYazwJpUQvlJkCZfSAOgNPZDJwjQDe67Njlc+OPx6eAqVUcxrPUrH7og4sxpJ44QTTwxciCRydDGLH6sLtHdZ3NiGeTOOkP7SkrWQBEcDPad7a34wtvR787z+fxGQgWlBrXCq4hFLrE/TeawfwwctW1+S12lxWdLqteOPMQqYKs0YSisNiwlSALSbr0sAl1qgrlaaYCcWRStOGk1AMBgKzUXuoQzpNMReOF6xNcGVp4DwD1w7277ukF8+f8OOf/u/hZcnAOW/tb4bLYsKTB1mv8v0jc6AURRuPcSfK0HhgSedhAiKAn9MQQnDPNf0YmQ1jbC6y7BLKpm630hflXGZzjxsHxhaUKsxOd22CptNiUlwlehcxAdaRcDIQBYCGy8ABwCIZNDPwhQjvg6J9XjYpLpRkphlUgS//e67px4cvX40f7jmFn744DJOBKIvmS4nFZMR169vw1NAEkqk0Xj09B6M8tq8Q/a1OmI0GDJ0NiAxckM3b1rdjUPaqLreEsnOgBa/8/a4GCOAenPKHcGQigBZ5fmgtUDdXKtXMij0mM9RhKsgCeFuDZeAAc6LENAp5jsvFL4WucPgiJJdQzEZDwS8+Qgi+evNGvP/SXkwGYnBYTEtmxctl98YOzIUTeHl4FvuG57C+01VUzpGMBgy2O7FveBbJNBUauCCDwUDwqWv6AZwb8xOXy8ZYDhfJOvizR6drtoAJZGuyetrpqudiTsrSS6NJKEDhuZjPHp2C0UBweX+z5vNMcsBelCUUt724P9pgIPjGbRfhg5etwo7Vy9cr/eq1rbBKBjxx4CxeG50vqn9zNnQ2KfUHS5mBrwzP3Qrnli1diCRSuHFjx3JvSkPAKzLD8VTN9G8gW5PVs4ipnsrDJZS2c+BLuFwKTaZ/5ug0tq/2Fl3U5uX0gWhC19Bvg4Hg67ddVNX2VovdbMLVa1rx2L4xxFNpbNfxZbKhqwm/enUMwNIGcJGBNwAmowEfeMvqJT0xGhmP3awMvq1VFSaQLaEUG6eWeYxaA2c20EYY4pCL1mDjiYUoDp8NlGzMxTsSzoXjmuX25yq7N3UgnmJXHXomJ6knfjVMIY9AcK5ykZyF11KvV2fg5S1iphrSA87RklD+fIz1Nb92XfHiK5dVUgp5lqpHdi24bl07TAaCbo9N1wzOdaoALjJwgaBKtsgBvJYZuFoDt+lYGLWpNfBg45XRc6xSdk8XgK0vdDRZsbY9vzpRDZdQFiL6JJRzBbdNwocu78Odl/TqfnymUlnYCAWCqrhmbRu6PTalsKcWlJ+Bs8dHEkxCacQFTIBZ69QSSiKVxp7jfly7rrWkU4RXr86F45pFPOcyX7l5Az5z/aDux3MZRWTgAkGVrGl34S9fuq6mEkq5Gjh3qgSjSfgXYw1pIQSYhBJTldLvG57DYiyJq9eU7vzpskjwL8YRTaQLFvGsFC7p88Ftk5QWAkuBcKEIBDrhEgoh0NXvmUsop2fCoLQxi3iA/EXMZ49NQTIS7BzQtg+qcVlNBTsRrjQ+urMPd2zvKdgzpR6IDFwg0AmXUOySUVeRCc/Sh/2sy157Qy9iqgL4kWnsWO3TlWmqp+podSJcSZiMBniXuE5CBHCBQCcWkwGSkeiqwgRYr2uzyYBTM3IAb1QJxWRUXChjc2EcnQyWdJ9w1EFea6akoDpEABcIdEIIgcNi0rWAybGbjRiVR6m1uxtYQkmmQCnFL18ZBSHA7o2dup6rXjdoJBthoyACuEBQBs5yA7hkRCJFYTSQgl37znWskgGUsj7d/7J3BNeva8eqZn0tel0q585KX8RcDkQAFwjKwGkx6Sqj59jlANbqtCzp4lYt4c3AfrVvDDOhOD66s0/3c4WEUl+EC0UgKINen72sNqc8W29UBwoAWOQA/vDzpzDY5sRbCzSv0oIvYpqNBl3FT4LyEAFcICiD7925FQT6M2ketBrVAw4AVvkL68x8BN+4fVNZbV65Bl6qE6GgMkQAFwjKQE8BT/bjGz8D5xJKk9WE27d1l/VcHsCFfFIfhAYuENQRHvAb1QMOZAL4nZeuKvsLzGVhgXule8CXCxHABYI6ksnAGzeAb+puwhUDLWUtXnKskgEmAxEWwjohJBSBoI7wAN7WwBJKp9uGn3/iLRU9lxACj11CcwNMcmpERAAXCOoIr9ps5Ay8Wr793q3KgA1BbREBXCCoIytBQqmWq9boK7sXlI8I4AJBHXnH5k4YDUS4MAR1QQRwgaCO9Lc6ce+1A8u9GYIVinChCAQCQYNSVQZOCBkGEASQApCklO6oxUYJBAKBoDS1kFCupZT6a/A6AoFAICgDIaEIBAJBg1JtAKcAniKEvEoIuVvrAYSQuwkh+wgh+6anp6t8O4FAIBBwqg3gV1BKLwZwE4B7CSFX5T6AUvogpXQHpXRHa6vwgwoEAkGtqCqAU0rPyP9PAXgcwKW12CiBQCAQlKbiAE4IcRBCXPxnADcAOFirDRMIBAJBcQiltLInEnIhWNYNMDfLv1BKv1HiOdMATlf0hkALgPPR7XI+7vf5uM/A+bnfYp/1sZpSmqdBVxzAlxpCyL7z0Wd+Pu73+bjPwPm532Kfq0PYCAUCgaBBEQFcIBAIGpRGCuAPLvcGLBPn436fj/sMnJ/7Lfa5ChpGAxcIBAJBNo2UgQsEAoFAhQjgAoFA0KA0RAAnhOwmhBwlhJwghHxpubenHhBCegkhzxBChgghhwghn5Vv9xFC/kAIOS7/713ubaBFdpUAAAOSSURBVK01hBAjIWQ/IeQJ+fcLCCF75eP9S0LIipuISwjxEEIeI4QcIYQcJoRcvtKPNSHkPvncPkgIeZQQYl2Jx5oQ8iNCyBQh5KDqNs1jSxj/LO//AULIxeW81zkfwAkhRgA/AOu3sgHA+wkhG5Z3q+pCEsB/oZRuAHAZWG+ZDQC+BOBpSukggKfl31canwVwWPX7NwF8h1I6AGAOwMeXZavqy/cAPEkpXQdgC9j+r9hjTQjpBvC3AHZQSjcBMAK4EyvzWP8YwO6c2wod25sADMr/7gbwQDlvdM4HcLD+KicopScppXEA/wrg1mXepppDKT1LKf2r/HMQ7APdDbavP5Ef9hMAty3PFtYHQkgPgHcAeEj+nQC4DsBj8kNW4j67AVwF4GEAoJTGKaXzWOHHGqxi20YIMQGwAziLFXisKaXPAZjNubnQsb0VwE8p4yUAHkJIp973aoQA3g1gVPX7mHzbioUQ0gdgG4C9ANoppWfluyYAtC/TZtWL7wL4OwBp+fdmAPOU0qT8+0o83hcAmAbwiCwdPST3E1qxx1pufPctACNggXsBwKtY+ceaU+jYVhXfGiGAn1cQQpwAfg3gc5TSgPo+yjyfK8b3SQh5J4ApSumry70tS4wJwMUAHqCUbgMQQo5csgKPtRcs27wAQBcAB/JlhvOCWh7bRgjgZwD0qn7vkW9bcRBCJLDg/QtK6b/JN0/ySyr5/6nl2r46sBPALfJs1X8Fu5z+HthlJB/3txKP9xiAMUrpXvn3x8AC+ko+1rsAnKKUTlNKEwD+Dez4r/RjzSl0bKuKb40QwF8BMCivVpvBFj5+u8zbVHNk7fdhAIcppd9W3fVbAB+Wf/4wgN8s9bbVC0rpf6WU9lBK+8CO658opR8A8AyAO+SHrah9BgBK6QSAUULIWvmm6wEMYQUfazDp5DJCiF0+1/k+r+hjraLQsf0tgA/JbpTLACyopJbSUErP+X8A3g7gGIA3Afz9cm9PnfbxCrDLqgMAXpP/vR1ME34awHEAfwTgW+5trdP+XwPgCfnnCwG8DOAEgF8BsCz39tVhf7cC2Ccf738H4F3pxxrA/QCOgM0N+BkAy0o81gAeBdP5E2BXWx8vdGwBEDCX3ZsA3gBz6eh+L1FKLxAIBA1KI0goAoFAINBABHCBQCBoUEQAFwgEggZFBHCBQCBoUEQAFwgEggZFBHCBQCBoUEQAFwgEggbl/wNFU5UTZC8eNgAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(hist.history['loss'])\n",
+    "plt.plot(hist.history['val_loss'] , c = \"red\")\n",
+    "plt.title(\"train_loss vs validation_loss\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "id": "DQzYKyNB8aBQ"
+   },
+   "source": [
+    "## **Testing the model using images**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "id": "p7U7W_4d_Aiz"
+   },
+   "outputs": [],
+   "source": [
+    "op = dict(zip( train_data.class_indices.values(), train_data.class_indices.keys()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 298
     },
+    "id": "uVSHne1A_FFj",
+    "outputId": "bf55d12c-a850-4a40-ffbf-5ebc4b8cce8e"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " the image is of angry\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# path for the image to see if it predics correct class\n",
+    "\n",
+    "path = \"D:/ML-Nexus/Computer Vision/Face-expression recommendation system/face-expression-recognition-dataset/images/test/angry/10052.jpg\"\n",
+    "img = load_img(path, target_size=(224,224) )\n",
+    "\n",
+    "i = img_to_array(img)/255\n",
+    "input_arr = np.array([i])\n",
+    "input_arr.shape\n",
+    "\n",
+    "pred = np.argmax(model.predict(input_arr))\n",
+    "\n",
+    "print(f\" the image is of {op[pred]}\")\n",
+    "\n",
+    "# to display the image  \n",
+    "plt.imshow(input_arr[0])\n",
+    "plt.title(\"input image\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# **Using CNN built from Scratch**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "TRAIN_DIR = 'D:/ML-Nexus/Computer Vision/Face-expression recommendation system/face-expression-recognition-dataset/images/train'\n",
+    "TEST_DIR = 'D:/ML-Nexus/Computer Vision/Face-expression recommendation system/face-expression-recognition-dataset/images/test'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def createdataframe(dir):\n",
+    "    image_paths = []\n",
+    "    labels = []\n",
+    "    for label in os.listdir(dir):\n",
+    "        for imagename in os.listdir(os.path.join(dir,label)):\n",
+    "            image_paths.append(os.path.join(dir,label,imagename))\n",
+    "            labels.append(label)\n",
+    "        print(label, \"completed\")\n",
+    "    return image_paths,labels\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "code",
-      "execution_count": 18,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 281
-        },
-        "id": "K8l0OodF-8Ur",
-        "outputId": "112e545f-db75-4f99-e606-3a701c071271"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "angry completed\n",
+      "disgust completed\n",
+      "fear completed\n",
+      "happy completed\n",
+      "neutral completed\n",
+      "sad completed\n",
+      "surprise completed\n"
+     ]
+    }
+   ],
+   "source": [
+    "train = pd.DataFrame()\n",
+    "train['image'], train['label'] = createdataframe(TRAIN_DIR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                                   image     label\n",
+      "0      D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "1      D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "2      D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "3      D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "4      D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "...                                                  ...       ...\n",
+      "28816  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "28817  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "28818  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "28819  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "28820  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "\n",
+      "[28821 rows x 2 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "angry completed\n",
+      "disgust completed\n",
+      "fear completed\n",
+      "happy completed\n",
+      "neutral completed\n",
+      "sad completed\n",
+      "surprise completed\n"
+     ]
+    }
+   ],
+   "source": [
+    "test = pd.DataFrame()\n",
+    "test['image'], test['label'] = createdataframe(TEST_DIR)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                                                  image     label\n",
+      "0     D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "1     D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "2     D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "3     D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "4     D:/ML-Nexus/Computer Vision/Face-expression re...     angry\n",
+      "...                                                 ...       ...\n",
+      "7061  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "7062  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "7063  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "7064  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "7065  D:/ML-Nexus/Computer Vision/Face-expression re...  surprise\n",
+      "\n",
+      "[7066 rows x 2 columns]\n",
+      "0       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "1       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "2       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "3       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "4       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "                              ...                        \n",
+      "7061    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "7062    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "7063    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "7064    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "7065    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+      "Name: image, Length: 7066, dtype: object\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(test)\n",
+    "print(test['image'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "1       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "2       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "3       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "4       D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "                              ...                        \n",
+       "7061    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "7062    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "7063    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "7064    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "7065    D:/ML-Nexus/Computer Vision/Face-expression re...\n",
+       "Name: image, Length: 7066, dtype: object"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test['image']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from tqdm.notebook import tqdm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def extract_features(images):\n",
+    "    features = []\n",
+    "    for image_path in tqdm(images):\n",
+    "        img = load_img(image_path, color_mode='grayscale', target_size=(48, 48))\n",
+    "        img = np.array(img)\n",
+    "        features.append(img)\n",
+    "\n",
+    "    features = np.array(features)\n",
+    "    features = features.reshape(len(features), 48, 48, 1)\n",
+    "    return features\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "be39f486ad074107a88a3745f1366769",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/28821 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "train_features = extract_features(train['image'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f32e64dc8c5e4d488397b02fa5df03af",
+       "version_major": 2,
+       "version_minor": 0
       },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
+      "text/plain": [
+       "  0%|          | 0/7066 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "test_features = extract_features(test['image'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x_train = train_features/255.0\n",
+    "x_test = test_features/255.0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import LabelEncoder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {\n",
+       "  /* Definition of color scheme common for light and dark mode */\n",
+       "  --sklearn-color-text: black;\n",
+       "  --sklearn-color-line: gray;\n",
+       "  /* Definition of color scheme for unfitted estimators */\n",
+       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
+       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
+       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
+       "  --sklearn-color-unfitted-level-3: chocolate;\n",
+       "  /* Definition of color scheme for fitted estimators */\n",
+       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
+       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
+       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
+       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
+       "\n",
+       "  /* Specific color for light theme */\n",
+       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
+       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
+       "  --sklearn-color-icon: #696969;\n",
+       "\n",
+       "  @media (prefers-color-scheme: dark) {\n",
+       "    /* Redefinition of color scheme for dark theme */\n",
+       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
+       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
+       "    --sklearn-color-icon: #878787;\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 pre {\n",
+       "  padding: 0;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-hidden--visually {\n",
+       "  border: 0;\n",
+       "  clip: rect(1px 1px 1px 1px);\n",
+       "  clip: rect(1px, 1px, 1px, 1px);\n",
+       "  height: 1px;\n",
+       "  margin: -1px;\n",
+       "  overflow: hidden;\n",
+       "  padding: 0;\n",
+       "  position: absolute;\n",
+       "  width: 1px;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-dashed-wrapped {\n",
+       "  border: 1px dashed var(--sklearn-color-line);\n",
+       "  margin: 0 0.4em 0.5em 0.4em;\n",
+       "  box-sizing: border-box;\n",
+       "  padding-bottom: 0.4em;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-container {\n",
+       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
+       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
+       "     so we also need the `!important` here to be able to override the\n",
+       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
+       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
+       "  display: inline-block !important;\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-text-repr-fallback {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-parallel-item,\n",
+       "div.sk-serial,\n",
+       "div.sk-item {\n",
+       "  /* draw centered vertical line to link estimators */\n",
+       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
+       "  background-size: 2px 100%;\n",
+       "  background-repeat: no-repeat;\n",
+       "  background-position: center center;\n",
+       "}\n",
+       "\n",
+       "/* Parallel-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item::after {\n",
+       "  content: \"\";\n",
+       "  width: 100%;\n",
+       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
+       "  flex-grow: 1;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel {\n",
+       "  display: flex;\n",
+       "  align-items: stretch;\n",
+       "  justify-content: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  position: relative;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:first-child::after {\n",
+       "  align-self: flex-end;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:last-child::after {\n",
+       "  align-self: flex-start;\n",
+       "  width: 50%;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-parallel-item:only-child::after {\n",
+       "  width: 0;\n",
+       "}\n",
+       "\n",
+       "/* Serial-specific style estimator block */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-serial {\n",
+       "  display: flex;\n",
+       "  flex-direction: column;\n",
+       "  align-items: center;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  padding-right: 1em;\n",
+       "  padding-left: 1em;\n",
+       "}\n",
+       "\n",
+       "\n",
+       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
+       "clickable and can be expanded/collapsed.\n",
+       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
+       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
+       "*/\n",
+       "\n",
+       "/* Pipeline and ColumnTransformer style (default) */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable {\n",
+       "  /* Default theme specific background. It is overwritten whether we have a\n",
+       "  specific estimator or a Pipeline/ColumnTransformer */\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable label */\n",
+       "#sk-container-id-1 label.sk-toggleable__label {\n",
+       "  cursor: pointer;\n",
+       "  display: block;\n",
+       "  width: 100%;\n",
+       "  margin-bottom: 0;\n",
+       "  padding: 0.5em;\n",
+       "  box-sizing: border-box;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n",
+       "  /* Arrow on the left of the label */\n",
+       "  content: \"▸\";\n",
+       "  float: left;\n",
+       "  margin-right: 0.25em;\n",
+       "  color: var(--sklearn-color-icon);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "}\n",
+       "\n",
+       "/* Toggleable content - dropdown */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content {\n",
+       "  max-height: 0;\n",
+       "  max-width: 0;\n",
+       "  overflow: hidden;\n",
+       "  text-align: left;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content pre {\n",
+       "  margin: 0.2em;\n",
+       "  border-radius: 0.25em;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
+       "  /* Expand drop-down */\n",
+       "  max-height: 200px;\n",
+       "  max-width: 100%;\n",
+       "  overflow: auto;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
+       "  content: \"▾\";\n",
+       "}\n",
+       "\n",
+       "/* Pipeline/ColumnTransformer-specific style */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific style */\n",
+       "\n",
+       "/* Colorize estimator box */\n",
+       "#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n",
+       "#sk-container-id-1 div.sk-label label {\n",
+       "  /* The background is the default theme color */\n",
+       "  color: var(--sklearn-color-text-on-default-background);\n",
+       "}\n",
+       "\n",
+       "/* On hover, darken the color of the background */\n",
+       "#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Label box, darken color on hover, fitted */\n",
+       "#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Estimator label */\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label label {\n",
+       "  font-family: monospace;\n",
+       "  font-weight: bold;\n",
+       "  display: inline-block;\n",
+       "  line-height: 1.2em;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-label-container {\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       "/* Estimator-specific */\n",
+       "#sk-container-id-1 div.sk-estimator {\n",
+       "  font-family: monospace;\n",
+       "  border: 1px dotted var(--sklearn-color-border-box);\n",
+       "  border-radius: 0.25em;\n",
+       "  box-sizing: border-box;\n",
+       "  margin-bottom: 0.5em;\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-0);\n",
+       "}\n",
+       "\n",
+       "/* on hover */\n",
+       "#sk-container-id-1 div.sk-estimator:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 div.sk-estimator.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-2);\n",
+       "}\n",
+       "\n",
+       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
+       "\n",
+       "/* Common style for \"i\" and \"?\" */\n",
+       "\n",
+       ".sk-estimator-doc-link,\n",
+       "a:link.sk-estimator-doc-link,\n",
+       "a:visited.sk-estimator-doc-link {\n",
+       "  float: right;\n",
+       "  font-size: smaller;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1em;\n",
+       "  height: 1em;\n",
+       "  width: 1em;\n",
+       "  text-decoration: none !important;\n",
+       "  margin-left: 1ex;\n",
+       "  /* unfitted */\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted,\n",
+       "a:link.sk-estimator-doc-link.fitted,\n",
+       "a:visited.sk-estimator-doc-link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
+       ".sk-estimator-doc-link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover,\n",
+       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
+       ".sk-estimator-doc-link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "/* Span, style for the box shown on hovering the info icon */\n",
+       ".sk-estimator-doc-link span {\n",
+       "  display: none;\n",
+       "  z-index: 9999;\n",
+       "  position: relative;\n",
+       "  font-weight: normal;\n",
+       "  right: .2ex;\n",
+       "  padding: .5ex;\n",
+       "  margin: .5ex;\n",
+       "  width: min-content;\n",
+       "  min-width: 20ex;\n",
+       "  max-width: 50ex;\n",
+       "  color: var(--sklearn-color-text);\n",
+       "  box-shadow: 2pt 2pt 4pt #999;\n",
+       "  /* unfitted */\n",
+       "  background: var(--sklearn-color-unfitted-level-0);\n",
+       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link.fitted span {\n",
+       "  /* fitted */\n",
+       "  background: var(--sklearn-color-fitted-level-0);\n",
+       "  border: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "\n",
+       ".sk-estimator-doc-link:hover span {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link {\n",
+       "  float: right;\n",
+       "  font-size: 1rem;\n",
+       "  line-height: 1em;\n",
+       "  font-family: monospace;\n",
+       "  background-color: var(--sklearn-color-background);\n",
+       "  border-radius: 1rem;\n",
+       "  height: 1rem;\n",
+       "  width: 1rem;\n",
+       "  text-decoration: none;\n",
+       "  /* unfitted */\n",
+       "  color: var(--sklearn-color-unfitted-level-1);\n",
+       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link.fitted {\n",
+       "  /* fitted */\n",
+       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
+       "  color: var(--sklearn-color-fitted-level-1);\n",
+       "}\n",
+       "\n",
+       "/* On hover */\n",
+       "#sk-container-id-1 a.estimator_doc_link:hover {\n",
+       "  /* unfitted */\n",
+       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
+       "  color: var(--sklearn-color-background);\n",
+       "  text-decoration: none;\n",
+       "}\n",
+       "\n",
+       "#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n",
+       "  /* fitted */\n",
+       "  background-color: var(--sklearn-color-fitted-level-3);\n",
+       "}\n",
+       "</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LabelEncoder()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;&nbsp;LabelEncoder<a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.5/modules/generated/sklearn.preprocessing.LabelEncoder.html\">?<span>Documentation for LabelEncoder</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>LabelEncoder()</pre></div> </div></div></div></div>"
       ],
-      "source": [
-        "plt.plot(hist.history['accuracy'])\n",
-        "plt.plot(hist.history['val_accuracy'] , c = \"red\")\n",
-        "plt.title(\"training_acc vs validation_acc\")\n",
-        "plt.show()"
+      "text/plain": [
+       "LabelEncoder()"
       ]
-    },
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "le = LabelEncoder()\n",
+    "le.fit(train['label'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_train = le.transform(train['label'])\n",
+    "y_test = le.transform(test['label'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from keras.utils import to_categorical\n",
+    "\n",
+    "y_train = to_categorical(y_train,num_classes = 7)\n",
+    "y_test = to_categorical(y_test,num_classes = 7)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\priyu\\AppData\\Roaming\\Python\\Python312\\site-packages\\keras\\src\\layers\\convolutional\\base_conv.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
+      "  super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n"
+     ]
+    }
+   ],
+   "source": [
+    "model = Sequential()\n",
+    "# convolutional layers\n",
+    "model.add(Conv2D(128, kernel_size=(3,3), activation='relu', input_shape=(48,48,1)))\n",
+    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
+    "model.add(Dropout(0.4))\n",
+    "\n",
+    "model.add(Conv2D(256, kernel_size=(3,3), activation='relu'))\n",
+    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
+    "model.add(Dropout(0.4))\n",
+    "\n",
+    "model.add(Conv2D(512, kernel_size=(3,3), activation='relu'))\n",
+    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
+    "model.add(Dropout(0.4))\n",
+    "\n",
+    "model.add(Conv2D(512, kernel_size=(3,3), activation='relu'))\n",
+    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
+    "model.add(Dropout(0.4))\n",
+    "\n",
+    "model.add(Flatten())\n",
+    "# fully connected layers\n",
+    "model.add(Dense(512, activation='relu'))\n",
+    "model.add(Dropout(0.4))\n",
+    "model.add(Dense(256, activation='relu'))\n",
+    "model.add(Dropout(0.3))\n",
+    "# output layer\n",
+    "model.add(Dense(7, activation='softmax'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.compile(optimizer='Adam', loss='categorical_crossentropy', metrics=['accuracy'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
     {
-      "cell_type": "markdown",
-      "source": [
-        "#**Training Loss v/s Testing Loss**"
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential_1\"</span>\n",
+       "</pre>\n"
       ],
-      "metadata": {
-        "id": "cgh47EM5KWyw"
-      }
+      "text/plain": [
+       "\u001b[1mModel: \"sequential_1\"\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "code",
-      "execution_count": 19,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 281
-        },
-        "id": "hyLS4dCh-_Zy",
-        "outputId": "bbf31bd2-4c52-4e0d-98dc-edd3910b4b63"
-      },
-      "outputs": [
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
+       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
+       "│ conv2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">46</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">46</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,280</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ max_pooling2d (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)    │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">23</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">23</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">23</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">23</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ conv2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">21</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">21</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │       <span style=\"color: #00af00; text-decoration-color: #00af00\">295,168</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ max_pooling2d_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">10</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)    │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ conv2d_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">8</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │     <span style=\"color: #00af00; text-decoration-color: #00af00\">1,180,160</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ max_pooling2d_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">4</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ conv2d_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Conv2D</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">2</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │     <span style=\"color: #00af00; text-decoration-color: #00af00\">2,359,808</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ max_pooling2d_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">MaxPooling2D</span>)  │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)      │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ flatten (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Flatten</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">262,656</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">512</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │       <span style=\"color: #00af00; text-decoration-color: #00af00\">131,328</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">256</span>)            │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dense_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">7</span>)              │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,799</span> │\n",
+       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
+       "</pre>\n"
       ],
-      "source": [
-        "plt.plot(hist.history['loss'])\n",
-        "plt.plot(hist.history['val_loss'] , c = \"red\")\n",
-        "plt.title(\"train_loss vs validation_loss\")\n",
-        "plt.show()"
+      "text/plain": [
+       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
+       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
+       "│ conv2d (\u001b[38;5;33mConv2D\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m46\u001b[0m, \u001b[38;5;34m46\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │         \u001b[38;5;34m1,280\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ max_pooling2d (\u001b[38;5;33mMaxPooling2D\u001b[0m)    │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m23\u001b[0m, \u001b[38;5;34m23\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m23\u001b[0m, \u001b[38;5;34m23\u001b[0m, \u001b[38;5;34m128\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ conv2d_1 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │       \u001b[38;5;34m295,168\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ max_pooling2d_1 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m256\u001b[0m)    │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ conv2d_2 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │     \u001b[38;5;34m1,180,160\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ max_pooling2d_2 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ conv2d_3 (\u001b[38;5;33mConv2D\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │     \u001b[38;5;34m2,359,808\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ max_pooling2d_3 (\u001b[38;5;33mMaxPooling2D\u001b[0m)  │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_3 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m1\u001b[0m, \u001b[38;5;34m512\u001b[0m)      │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ flatten (\u001b[38;5;33mFlatten\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dense (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │       \u001b[38;5;34m262,656\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_4 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m512\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │       \u001b[38;5;34m131,328\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dropout_5 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m256\u001b[0m)            │             \u001b[38;5;34m0\u001b[0m │\n",
+       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
+       "│ dense_2 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m7\u001b[0m)              │         \u001b[38;5;34m1,799\u001b[0m │\n",
+       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "markdown",
-      "source": [
-        "# **Testing the model using images**"
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">4,232,199</span> (16.14 MB)\n",
+       "</pre>\n"
       ],
-      "metadata": {
-        "id": "DQzYKyNB8aBQ"
-      }
+      "text/plain": [
+       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m4,232,199\u001b[0m (16.14 MB)\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "code",
-      "execution_count": 20,
-      "metadata": {
-        "id": "p7U7W_4d_Aiz"
-      },
-      "outputs": [],
-      "source": [
-        "op = dict(zip( train_data.class_indices.values(), train_data.class_indices.keys()))"
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">4,232,199</span> (16.14 MB)\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m4,232,199\u001b[0m (16.14 MB)\n"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
-      "cell_type": "code",
-      "execution_count": 21,
-      "metadata": {
-        "colab": {
-          "base_uri": "https://localhost:8080/",
-          "height": 298
-        },
-        "id": "uVSHne1A_FFj",
-        "outputId": "bf55d12c-a850-4a40-ffbf-5ebc4b8cce8e"
-      },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            " the image is of angry\n"
-          ]
-        },
-        {
-          "output_type": "display_data",
-          "data": {
-            "image/png": 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xCk/MQRDNgYiIXY7czAR8CF1yGkX92jp5yNr5ViJreyE+AL4y7ZwsbQ1zXZblxZBrRvkcRyFPWlmW60L7PxdKQDreaNMvGQ24traGs2fPWmUyc+z8/Lyz5js7O+vYZufPn/dGsklOAICT/UhbX5Z1SZ5g3759qowmiOzMxtKvAtAzC2k8iubQogW/9JuSpq1Tm3ZyWvCUhKxHy6Sr2dvSt0NL+iLHA+CPkCyXy44D0cGDB61ow3PnzjlZrC9evOh8SHyZhdJ4FJ+i0l7uZrNp3VutVttZnEAWB5K047QyE6E2cO8LadrqaeeYv2eV0UfWTTq7npclwiw8ziQjN0pgUpGVMIxwEfspG4ZVnpEY3MXIy5c3YjgMqzxzOxMIIVl8gzitcwa9rh95NuwDyLJsNCpkWSoN/T30nEHO63ddKAno4340ZDEFQsjVtPsexXX9zpPIhRKQRJd8wVutFi5fvmxdU6vVHLKwXC7jwIEDVr0aOSaJJ5OI08gaDSEKoBeMYp5brVYtgkjLmjw1NeXULR19QgeiDJgJSRUuHWFCogN79fc7TyMLQxyDtNRdJjHHzEHOQoCdDUrrD61sZmbGciBaWFhwshafPn26r1LSUpkzs+OY1Gq1nPEn71/bi7DRaFhl8rgfojmwDTBZ7IiIvCEqgW1EJL4i8oioBCIAxFlKHjCuZ5ALTgDQM85of/egBezIc7N8eUP97bUyLeOrzwYORdquM6Y8Phvc5/kXKhuRnrVHBsyEOAsNI8egfRkSPBVSb9puT7KvJbT+8LUf4tGp1TNI3wytBIjoKQCrANoAWsx8GxEtAPgUgOuQJBZ5LTNfSqsjbf8383eJUqnkeNbJ87RoQK1MvmAaMScJHM1rTxI6WmpobX88n1dhr32zTEuB7kvdpaXK1jwGe3KltZVGxMlj2R9an2kEWkjwjfxIaC+d1keyDtlWu91WU8mZcu/Zs0fdFq8ne5qyTfN89LUvz9E8UeVYk5Gg/TAqc+CfMfOtzHxb9/huAF9l5psBfLV7HDGBiGbCYMgD7zPoM9sqTuBOAPd3/74fwKu3qJ2ILUYeBnXEYBj0mY2CE2AAXyIiBvBfmfleAIf42WSjZ5BsVWaBiO4CcBeQBNH0sx+16V4IJ6BNB307CQFQ15elOeCbQveDKaOWxFIzB0LiBnxx8Gm8gs8uDf2yhPAfms+BbCsLJ+AzhbRrCoWCam/7+lHbhrxUKqmmpqxHQl6jmUPaffjG/rZyAgB+hplPEdFVAL5MRD8SgnFXQUCU3wvgXgA4fPgwS1JJnOu174DE5pLbhYdk8jGdjpjZyVjUu86ElqUnZP95bfBInmBmZkbNgtvvhSZy05DLsjTFKaENzH73oJ2XRgzKsjQOQMLHCWjReFmISa0fS6WSs3+kHA/VatW5fwktG7WW1UrWo40ZCfmhHEQJDG0OMPOp7v/nAHwWwO0AzhLRYQDo/n8uY93DihcxYgzDQkfkE0MpASKapWQzUhDRLIBXINln4AsA3tg97Y0APp+x/mHEi9gC7OSQ2t2KYc2BQwA+2x0IJQB/zsz/m4i+BeDTRPQWACcAvHbIdiJ2CEYRdBUxWgylBJj5OIAXKeUXALw8tB65zRizm6VGrktr9m25XHa2fpLQBmC1WrXOlf4HPRllPaZMaVmEpP1WrVYtDmBqaiqIb9C2Zg/BsM5Tso5+Zdr9y2t8PIHWj2mBR/1I4DRl47O3NU5APg/NJp+envYSgxq0DMQ+GTUepdVqWTIOwofkwmOQiBwlYDL0nU5HVQI+Iq7ZbAbZrOYLxsxWKqlemeboYcpYLBbVl1m+vNVq1brXarUapARCnIW2K8FJmlKQKxhSRi29mfYSyhdD63tJDGpKwBfVqCFECchnASTK3EcMhqxwSUcjrR7NEUhGFo7DWSgiImJCEZVARMQuR1QCE4ZxLcnFpcCdi1xwAhpMDkDbrknLACP3bV9dXXW4hKmpKZVQNKHtUa85o5gypZFQWpYYU+6pqSmHN5ieng5yROrJ0TtX267KRxBpdnqtVrOu29zcVANtJOQWX1rqdF8AURr34nOY0ZygfCRkGm+hZVYy5dKy/0xNTTkymjJp5LZ2H5IY7Mnpu69ms2mdp2UfSkNulYB5o2mulD72t9FoqLnftcg+SbpJ7ys5WELcVNNcV832S6WSo4Q0t2Fg8DTjmheZ9jLLsnq9bpXJNG5pbL2pFLU9/bQQXHkP2rPWFI5GlMp7landNLJQe66+1QlNRulKrI1P7eXVokqzYBAiUCKaAzsAcaqeju30Scj6HMb9/KIS2AGIzjf5QNbnMO7nlwtzoNPpONlj5RZSmm0tp1cbGxtWQIYWDXjVVVc509SFhQXrQTz55JPOdVqmWMlbyGnr9PS0M92sVCrWNldatuG0JComtCmyZkv6nFw0nwRzm3ggCWiSXyu5DVen08HS0tKVY2bGhQsXnHuQyThmZmas/pDZmAGXszHbMP/2BRURkTP91kwPeW9ra2vWs67Vak7dxWLRqcvMSMzMOH/+vCNPSCbnkAAu+Qyl81A/5EIJAP4Hqp2veVJJT0MJLWqvWq1admNoW/1kTqtLOohooatpfMegMprX9JMnlIQ069EiFs362+22Q4S1222Vj9Echvod92SQ9xbqLJXlWfs4ASmn7KNQD75hogGzIpoDEbsKPiJ1N2LilMBufVDbgd3et+O2zceFiVMCeXxQO+XlyWPf7haMcwzlghNot9u4dMlORmwScRrJoxFxzWbTIgPn5+edveZvuukmp0weP/PMM05bZ8+etcpkairNEWZqaspxmJmbm7PKZORj7zoNvfZCB4xc39bSacmsOUBCaElCUSoImREHSPq7h2aziaeeesr6fXV1FSdOnLDKZCadq666ytni68iRIw45KPtV42MkuUxE1jhqt9sO4bu6uoq1tTWrbG1tzRpX0o8CSJ6jLFtYWLjyd6fTwalTpxwZNYLVfB6aY1JICrRBtiHLhRKQGNV6q+yYHumiRW6ZZJGvg9NkzOrg4ztnVF+JtHp896v1oxahZyozjQTUZOiRbr1+D003ZsqtPbO0OqTzkPZ7CMHbT540mUJl3O6lxsxKgIh+DMneAj3cAOB3AewH8OsAep/TdzPzF7O2M0psxXQ3lJWO6I/t6kO5ihExhBJg5kcB3AoARFQEcApJjsE3A/gAM//xSCTMOaICmDzEZ2ZjVObAywEcY+YTWTo4ZAqWNnXLgpC6JvFroZlDWfpxFOek+S1kqTukrpB6s/aHhlGNx3G3D4xOCbwOwCeM43cQ0RsAPAjgN7nPFmSAG3wiiUDpUdg7x+chd9VVV1lkFZDYqpLUOn78uEW6SWIIcCMLpcegFtW4Z88eJ0vR/v37LSJS8yqUCM22Iz0kW62W6jUp65aKW5JlWt/LeuWLqm0tp5Fu58+fx8WLF68cf+9733NkvP322x2y8Oabb3YCsWQgkha1Z5Y1Gg0nvfz6+roTMCUho1V715lgZsvTkpkdT8xWq+W0paUcl9DKZNRgSGr5K+cGn5kCIqoA+GUAf9Et+jCAG5GYCksA7km57i4iepCIHtSY5iHksQa2eTzMNFCrJ6StrNf1k2GU9xURhqx9PYpnttXXjcJP4FUAvs3MZwGAmc8yc5uZOwA+gmQfAgfMfC8z38bMt6UtiU0aBl3Ci4jIA0ZhDrwehilARIf52S3IXoNkH4KBEeKXH7pM169uIHwXHNmOXEbrTcFMzZ8FoUuNElnsdK3eVqvlxAFI+AKYtEQw2pq3nP5q0BJ9hG7z7ZNRC87R6pamRkj7Ps4i7TmPip8KvW4oJUDJhiO/AOCtRvEfEdGtABjJtuRvVS7tC2bG8vKyVaZlgJE2Z6VSsc6bm5tzOAHN0eP06dNWmYwq7NUlYTqwaB1eqVScYCUZNailJZdJTuTLm6YU5cDc3Ny0nLBWV1cdG/jUqVOOnb68vGzVdfjwYSdLjoSUqVar4ZFHHnHkuXz5slVWLpetPpqbm7OyMQPAgw8+qGaRMste+MIXehVlq9Wy+mNtbQ1nzpyxzqnVag5nJO9X41m0pCZS4Uheo9FoeFOOa0pS215PpmofZOl62H0H1gEcEGW/OmSdw1wekQFb5euQ5sQTOYx8IXexA3GAbD+2qs+zmjUR24vcKYG8Ic5MInY6chM7IJOBmC9fGlmikVymraRtaaV9iWSmWBlQRORmpJFtaQFNGrISfLIOWY/mpyD5Bml/A0lCFWnjym22zaQrZt1SZtOfQMv8pPVRsVi0zktL+uLbLlwjezVi0rT3Nzc3HR+Izc1NZ+1e2vuaX4fWR5JMDMkgpd1LyDnDfKxyoQS09GLydy0NtDyvWq1aTj0zMzMOGaMplFtuucU6Xlxc9CqPTqdjDZZ6vY6VlRXrHC1CT2YX1pSCli5aOsNoabJkWaPRsBTa5uamQ3rNzs46g/7ixYvWAD106JBzH4cPH7bkabVaeOihh6z7ki9YrVZzSEi5fdfCwgKuuuoq65yDBw86L9Di4qIlk0y53el0nGjQzc1NHD9+/Mrx8vKyE9VYq9Ucwnl+ft6K7PzxH/9xJ9JT9pF0OtOU0sbGBp5++mlIZHEWktmG0zJWa4jmQM4RzZGIrUZUAjlHJNLGi6x+/HmCT76oBCImDtv50oUo4bwrap98ueAEpGOFRvqFeHbJ7aLSHHgkQlJcS5u43W5b12lZe0K/Ilm933rn9R6ydh+m7aptld5sNh2eoNVqWRyMFqwk7X3p1UdE2Lt3r3WORvDNzs5avM2RI0ccTuDAgQNqcJaPrNPGh8nbrK6uOoE/MrOPVpfmcKal+JZZpSWvIXct6mHQ6Mi0slDkQgkA7uqACWZW3UblQ261Ws5eABJ79uzpm04rrTO1vP++FyUEafvlhX5dTBdlqbwqlYpKjJqYn593ZC+XyxaJdfLkSadfnnnmGYeIk0rg6NGj1jVSSQNJVOX+/fuvHL/whS90lMDevXv7bl8mVyZ6bcm+rdfrVoqvtbU1hzycnZ1VvUPN+19ZWVH3rpDjampq6oqMmsegtpo0iPLvdyxXr/ohmgMREbscUQlEROxy5MIckElEADgJIUIcT+r1ujUFajQaTj3SEahXl1zzltACPUKmZJrvvIzQC42QlA5Usi3f9E/jH7RglD179lh9sH//fkcebadi02QiImua32tLTusPHjyIxcXFK8eHDh1yErhMT097dxPWzEWZkbjdbltlxWLRuW7v3r1O8o96vW6dJwPOgMS0kM/k0KFDV/7WktVsbGyMjOTUzMdtiSIcFaTNr2Wu8UVbAa7iqNfragYcCVMJaAoJ0J1z5LFWt2bL+pSAxgnIMq1eba9BEzJEGEgGj6xr7969Vt/WajWHrNIy6Zh91Ol0nAjOcrnsvGCHDx/G1VdffeV4YWHBUdTafonm1uTM7Dj4tNttpy0W2X2q1apj20uOAgCWlpYszuHEiRPOWFtaWnJk3NjYsMpkdKTs156M2ofDhPZxGSa5TDQHIiJ2OaISyDFGvRS0Hci7fBEuohLIMSYxFHfc8o1bCY27/TT0kyuIEyCi+wD8EoBzzPyCbtkCks1HrkOSQei1zHyJklHwQQB3ANgA8CZm/rZPQLntmFxz9jkPAW4m4ZWVFce+XFxcVJ02fHVr22zLAKKQveblvWmcgLZ+LIOOtLol/6GRhdruSxLSBte2D9fsbZluTfbr9PQ0DhywctBgfn7essE1hyKN//A5eBWLRadsamrKIiGbzaZDcJZKJZU8Ne9lZmbGqVv6KQCwfBKIyNqWDEjGlLa9XhbIiFkt/V0aQonBjwH4EIAHjLK7AXyVmd9HRHd3j38bSeLRm7v/fhJJ9uGf7Fe5RgzK3zVo5JmJer3uEEaA/iKYJJO2xZbPO1F7mTUZQ1KFacSg+ZKl9UfIVyiEUDKVB3OyvZiUWSNKTeKLiBznmJmZGYcs3LNnj3VebzCb95sWEm72R4iiKBaL1kdBi7TTXkK5gqIRsNp1q6urljOXdEJqNBqZvEx9z0ye48vmFGQOMPPfAbgoiu8EcH/37/sBvNoof4ATfAPAfiI6HNJOxPZgkCnruKb34zYrdhJ8fTkMJ3CIn80qfAZAb1H0CAAzSPpkt0wKdkMzEhQAACAASURBVGXfAd8GGREJsrqUSsQXLBvyau8Pi5EQg5z0zkA9xMa+A1rATh4x7kGQxgVo50WMHju1X4dxFjpL3T0GutP9c93yUwDMyJFru2UDQRImIXa6zJxz/PhxnD9/3jrn2muvdeqW9q1G8khvL182pDRIhx1NAWp1yUg/aZdqRJy0ZTWisFwuO7az5Ck0j0Fp7wO2NyYROdl3JMHWO898HprXo+YsJGWWz7DdbjttaVGVmsOZJIFLpZLFd8zPz6tp0mQfyShKjbcICYyTSEsvJ53JQpXWMErgCwDeCOB93f8/b5S/g4g+iYQQXDbMhi2F7EDtgWrRZdJjUAtb1lhcXxooIHxPeh8kWZiFUNLkSVtBMOvTFLCmvMwXTFMCWl1aX4cMXkmUDkp49mQJibTTrpNI8+CUJKesVyKEXA4pG8SDMHSJ8BMAfg7AIhGdBPB7SF7+TxPRWwCcAPDa7ulfRLI8+ASSJcI3B0kSMVKM23RJQ+hLvpOQ9/sNUgLM/PqUn16unMsA3j6MUBHDIy8DT/MfiMgXchNAJDMCmcfalFXberper1u286OPPupMN/ft2+es1/7UT/2UVb+2Ffe5c+ecMnNVo1wuO3Zy2nTT/EprPgHaLs3S6UkG8BCR6uQip6k+WxJw7Wu5tp8GucqjbQ0uIWVsNptBps7c3JwltzRPCoWC076Ur1wuOxGLlUrF6f9CoWCNx3K57PS1GTHYg9lvzOwkMFlfX1dNFnmsZazWoir7mYv9kAslEIIsXxCNZNE4AekII6E59Axju/kwqinzMCZByNdbDrqQQbiV5kDWGYfPlta87/o5nGllmrIPtdtD+Y6s/RpjByK2DXnkA/ImzzgQlcAOwiBf/u0iDs124guXT+TGHOg33Q51kgmpN7QsS3ujklHer4wZ0PpDiytIqyetjn4yhZyTduyrK6Tv+5X5YirGhZDl4a2UObTu3CgBE9IG1+x4QI8kM8mflZUVh+T5m7/5G9WJxCy7+eabnQcoiZ9ms4mzZ89aMksZ0xx4ZD0+kgdISDbpDCLbkuSYxsyb16V9mX17KjKzQ7ox2xl/O52OE7wl2wfcbdk0uTR7V/oJyK3b2u22U6/09dBSsMt9KQE3QlQjLyXks+90Ojh9+rR1TrPZ9Ga+0p5RsVj0plsbxPTKpRIIheaIsR2k03Zct53YahnHxQWEELX9lMsg1w0iw6DXpMkjZ0K7lhichJdsK5G3KbCGPD8j38pQv/PHjWFWBExMvBLY7cjzCzYstuKF61dnluW6nYDcmgNbFQ6r2e7NZtMq07INy/YkT6GlIB9EpkHK0u49hGDMSpT6fpc8jtbP2lZtsi4pI7Ob5CXkujRk8a/XYimytOXrM18dg2LiiEHtJetBu5lCoeCkcJZET6lUcgiTpaUlp77Pfe5zVvsvetGLHHlkGmpZx9zcHI4csdMmdDodlbAxIQmt3n34iDBtcPjStGtlmsKThJ48TguyMiMt2+02lpeXrXNKpZLj+Tg1NWUFGmnecNVqVZVbEoMmNOccOWY04rZYLDrPTHonasSpJKCZ3bTsMpXZ5uZm6tg2/9bS4UkZpeenNq7SEM2BiIhdjolUAoNOu/NE5kRE5A25MQekHRjC2obYU5rft7yu2Wxa52jBOdL0AOxpW7PZVKekWRRQyBKVz/7vnSODlbSMyPI6Ld+ChFaPaY6k3bvmJ2BOd0Nj/GWyFGnWpJksPg/GNL/8EPTrxzSTxecXEBqPopVNHCfg24ZMgpkdW0naylqq7Fqt5nSYjBC8cOGC5YNARHjOc55jnVMsFq0U0jJ1NpBELMr2NZtXotdmPx+ItC3NTUg7URt0aY4v5nUaJyBt4E6nY/UjETmOOFrK8ZmZGSv6UspjPgMT1WrV4gSkjJ1OxxlD2r1qjmO+Lefq9XqQt6TZvsaRaJmwpUOVljo9hBMYxDfDq3KJ6D4iOkdE3zfK/iMR/YiIHiaizxLR/m75dURUI6LvdP/9aZAUOcW4l4PG3X4eMEgfRLMvG0I4gY8BeKUo+zKAFzDzCwE8BuBdxm/HmPnW7r+3jUbMiDTEgf8sotLU4RsjXiXAyp4DzPwlZu4ZYd9Akkw0YgwY58CPCijf8PmV9DAKTuDfINmOrIfriegfAawA+B1m/n/aRUR0F4C7gMR2l5yAL+Oq5rChrQtrWVlk3b7Mxtp6sgx8KZfL3i2/NBk1hBChvvXl3jnmvbbbbYecSgvOMqFlOlpdXXXaklmDtSAn2de1Ws2ynbXt031brgOufZ1Ggkp5NDLPd53GrWi+A2aQVbvddmRM473MMZK2+5JEyPZyaRhKCRDRewC0AHy8W7QE4DnMfIGIfgLA54jo+cy8Iq9l5nsB3AsAs7OzbHaYxqTKm0obuObAK5VKzsOanp5WPQZNaPu6SSeXUqlk7cc3MzPjEEpatJckfrTBE7INWdp2WfIa86XTota07dNk3ZcvX3bqPXPmjNO+qRRLpZKTbbhYLDoKZXl52asEZmdnvc5CWkp4qXBarZYTRRnyMktoMmpRleYqU6vVchRnmmeqqfQ05yVNwcot1QaZpWX2EyCiNyHZpPRXuNsiM9eZ+UL374cAHAPwvKxtREREDI+hOQENRPRKAL8F4JeZecMoP0hExe7fNyDZlPR4ljYiIiJGg6E5AdL3HHgXgCqAL3cb+EZ3JeBlAH6fiJoAOgDexsxyI9OIiIhtRr/ZgFcJsL7nwEdTzv0MgM8ES/bsdX3JqTSOQCNWTK2nbTMVEpGm2WDS3i+XyxZPMDU1pW6xpXmt+XYuSktT7vN2k5B2cavVcuxQjRNYX1+3ZLx48aJzjkammim25TbggJuNCQDOnj1rpeJuNBrOsz569KjjMHPNNddYfSCDczqdjpPiu9VqWdxBGm/hIyI1pyOtTAZUaUFGWoYg6Q0pkUYMZuUEcuMxaEK7AY3Rl4NFEiba/nBpEXompIdamhIwPd2mpqbU3Pca6eZ7gTUPuX7eg2mQSkBbCUhTAmbfXr58OagfTSVQKBSs/mFOUpLJF/OJJ57AsWPHrhzXajV1BUEqlF4bvbrlB6HT6eDiRXsS2m63rRRo2opOyEqERgxqacJMYrDdbqvkofbBkUogRBEQuWnQQzGRAUQRk4c0pbVdvgbDtKNdu5N8JKISGBA76eHvJgzjVBU6JZ9U5NIcAML8AqTzhZa1VtvCWtY1PT1tvdxy6qmZA5VKxbInq9Vq0NbT2tq0RMjW1FqyEs3eN6egmiPM5uamU7axsWGVzczMODIfPXrUOi4UClZAlRZAREROW+Vy2crkvLGx4UytK5WKMx5OnDhhHcst6JnZWZfvydmDtmuydFzr1WWi0Wg4ZVqCEDNgSHPUSktqMqjZ1zsvy3XAhCiBtOmYtke8rMNHvACuHSgfRFp2F+nU4dt3sHfs83TUIsCks5AGjX/wpUDTyEKZbk06ogBJpqUQhyopz969e50yM0x7bW3NUQJra2uOYjRfemZ9r8jei9mTU5NRcxST46jXb716NE5AC2U2P1JpodUh25mFQLtuZFGEERER2XMKTAKiEtgBmMSBt13Ybttday/vzycqgR2AcZNUeR/k48a4n48PueEENJvKREiUlGZvS2jEnCQUtUAgX8ZXInLWgev1urUuDSSko1mXZsvJLcfS7kNCc0wyeRONnKrVao7cMpXaoUOHnPY0EtasWyMvp6am1Ey+5rO/fPmyQ/h+97vfdZyBnnzySet+L1y44Mizb98+q6xUKmFubs66B9lntVrNceqRHFEaSd2PGAwZmz2Y/ZgWLZtlfKQhN0rAhNZZo9SmPgJFY1p952jQHnzIQMjyZe298P0IVU0ejbCS3meaUw3gfyZaaLfmjGMqBi0lnCZ3o9G48jJqKyNpMNsK8czs3YfPEcfnGZq24hMyhrJcF3oOEM2BHYW8Tzt3GkZhBuXBlIpKICKiD/q9pKNQunlQ3FEJRET0wbhe0u2cIeSGE5CEkcw0FMITaBmBRmWDa+ShSaBpEYuNRsMhtOR9aoE4IdltJJmnXSd5i0aj4TjHaB6D0qFmZcVJDKVyJPLeZLafNDLT7Lfl5WWHmNO2Ibvuuuus56btFWFmfgKSvjbLtHHVbDbVjETyWIsY1AKxzLY0aPyH2R9pTmgSwyir3CiBLGGQodFVo4Cvre38YoQGtGieh6GQz8Pn1RhCgKbVEyKLpvB712ohub1zfPVkQUj/b/WXfJTxDFn3HXgvEZ2iZ/cXuMP47V1E9AQRPUpEv5hJqoiIiG1DyEzgYwA+BOABUf4BZv5js4CIbgHwOgDPB3ANgK8Q0fOY2T+/9cDnb7/VyKrZt+qrEXpN6Bd6kOu0GAbN9NKe2Vb0xyBjYVR9nYfZgA+h7YdkFvo7IrousN07AXySmesAniSiJwDcDuDrgdenQtpl2vZMobZTv8GZ5hOg7c8n17e16ENpb8sItLSprAm5Dp62Li77Q9rbKysrTmTdpUuXHOecmZkZS6ajR486Msq2ADgy+jI/9WQ0+0MLIJqamnIcuG666SbrOuksBOjbfJllROTchxYJKgOqtJdLZl9idrcm16IqJXw8V09GLb29z6EpDcOsDryDkm3I7iOiXkqZIwCeNs452S1zQER3EdGDRPRgWuplnw1nnmNGiqVdJ1907bqs7afVu1OxVU5PafA9M99YSHseaYTzVjzHUBkHPSdk7PdDViXwYQA3ArgVyV4D9wxaATPfy8y3MfNtISmdxLWDNgcgH2uyuwmT0t/jnraPG5mUADOfZeY2M3cAfATJlB8ATgEws01c2y0bKSZlcOUZu33g97AbZm0+ZFoiJKLDzLzUPXwNgN7KwRcA/DkRvR8JMXgzgH8IqXOrSJUspE7ooJA2YNb2t3JqLWWUtq3kDQDXntTiC3xbo8u2gHTyUMqYpc+yPueQOIXQ9vvdx6gVTej9hiDrvgM/R0S3AmAATwF4a1eIR4jo0wB+gGR7sreHrgz024twmBcgy2CRXwdtT8MQElJzKiHhVMPsZpz1BaMAehYlSTxtbGxYGXfPnTvnZOBZW1tzSEaZzmt5edkZxHv37nU4FDO9WK8eE4VCQY0+NOvZ2Nhw5NFSd8nxoqUE0/Yn9O072ZNJ1mWiVqs5ZZcuXer7UUgbwz7/Bm3saZA+GINkHh7pvgPd8/8QwB8GS5ABcSobETE6TGTswG634SIiRomJVAIRERGjQy5iB3ykyjDT/1F5e2nEmMwAo6X81rZBM6+TWXwGkVlCyxps2sVaYFK1WnXsdM0RqJ9NDiSzMzNYisjNtBTCCdTrdadubYsvuXOStgOQVmb2kUYMhmSM1lK3awSrDyHOQoP4N2wZMbhd6Ef0SNID0LO9SBIlKzEo29M89IjI8ggrFovOoGs0Gs51Mi1Zp9NxXoxqteodIPKadruNS5cuWWXLy8t4+ulnfbc6nY6T2eeaa67B7OysVSb74+TJk45SNlNn9cpOnz5ttSWJOUmKAm6Kb9k/QEIwymdt1s3MTsQiMzsRnPK+isWio4TL5bJDaMqXe3V11VECMopQG7NpJKQkWGX2I82LUVOKkhgMNZujORARMUYMy2+NgiSPSiAiYoIxCpI8F+aAtg4eshVXiP00CmcQbR26WCx6A2ZarZZql5p11et11dSQ9yKn8Rr/IJNxtNtty2wol8uOGXHgwAFr92DA7Xu5VTmg2+DmNLrT6Tgmg7Yzr3RE0qaxmlu5NDW0YCEpo5xqy12k0tqSMmrJWWSQkUSI/a+VpY1pjaeQZkXoLCEXSgBwvc18W4wB+vZh2h598tjnoSY7VHMyAWC9dIVCQX1RfC+4JrO074Aksq+fM0iz2VTtdHPbrwMHDuDgwYPWOYuLi44S0KL4ZJ9p9rZ5XaPRwMmTJ61zVldXne3C19fXrbTsaSSghHzpta3SpL1fKBSszEKVSiWIFG21WpYMy8vLjjJbX19XSUafA4+W+ESmstecl+RYa7VaDo8VOYFARJ+DiN2OXa8E8oboDRmx3YhKIGeIM5OI7UYuOAHNL0A6dWgvhy+7Sq8uE2lbRMtzZL3SLk3bHspEuVx2eAt5L81mUyWwJHxbl7XbbZXkmpqaunI8Pz/vbA1eKpW897F//37vOdJ3gIistns4dOiQdby2tmZxArVazeFRtC2+JPGl2dZapidTprTno3E75jPa3Nx0OAmNW/JtnRdKFkqE+L8MMqPMhRIA+oehpnWW5ngSkqorRAlIYjBk9UJjtTVC0zxPI5QkyQMke/ZJ9lfKIwf09PS0Fdm3b98+Z38+DbIP5TXMrLL8phKQLxyQvHSSrJudnbWcrlZWVoJIt5AoU58S0PaY1MZPs9m0ZEpTAhp8xOCoZn5a5GkkBiMiIoIQlUBExC7HrlUCkYWP2OkYmbMQEd0H4JcAnGPmF3TLPgXgx7qn7AdwmZlvpSQ1+Q8BPNr97RvM/LYQYSXx5tujvVcuZFXrNhES7aWRgD7yTouQq1arajCKKdOFCxecurUtrUyZtCw+xWIR+/fvt8qmp6ctu7hQKDi2bEgGGi11uLS3mdlqv91uOwSf5mlXKpUsnmBubk7NdCSfmWxf8/STTlAy+5K2VXqr1XL6aHl52SIvNd4ilLiW0MhC89mHjGkgbOu6NGTafISZ/1XvbyK6B4DpqnaMmW/NLBGyp2YKZVYlNJJNEoM+mTSislQqOUpAphzTXItlRFyvzEwtPTc3Z/2uRb9pbrEhhKaERjrJepnZIt1arZaqADXladZVqVRUr08tAtBEuVx26tZWJzQvUxOtVkvdU9JUDJoyA7JtVefr+9Cv+TAz26E2H6HkDl4L4J9nliAQg7CdERER4RiWE/hZAGeZ+XGj7Hoi+kci+r9E9LNpF5Kx+UhIMoaoAHSELHlGRPTDsH4CrwfwCeN4CcBzmPkCEf0EgM8R0fOZ2dnbmpnvBXAvAFQqFe637huqAORUWwvg0TgBLVOtiUKh4ATMdDodK4AoLZONLJPZdC9cuODYlzJzLeBunyUjBqemppzp7+zsrFUmp+dAMo2WZpVsWwvqMW3kHswtzjTFXiqVnAQmpVLJurdKpeI8j2q16rQfYpNrWYxkH8h619bWnECsy5cvW/emjSstQ5TZr5q5qMktlXpoNGBI0FUaMisBIioB+JcAfsIQpA6g3v37ISI6BuB5AB7MUH8muXwdFtqhMiLL53mYFp6sRXuZA6jdbjsPTItYrNfrFicglYvm1ShTcIWEUGvQ+BBfWvS02Z0vs5A2eLWXJ2SQa5yRzDwVGqFntpd2b6PgBIbx/MuKYcyBnwfwI2a+Ei9KRAeJqNj9+wYkm48cH07EyUGclkdMIrxKgJLNR74O4MeI6CQRvaX70+tgmwIA8DIADxPRdwD8JYC3MfNFjBDxRYuIGC2ybj4CZn6TUvYZAJ8ZXqx05JkgzJNsUVlGhCK3AUQSmq2kpaaW2W20NFBawI4JSbARkbN2Xy6Xcfbs2SvH1WrVcTKR9j/gRslptu3VV1/tlEmZZWbhQqFgkVdAslXY0aPP7g+7sLDgOBnNzs6qgUem7ayRXpot68uirDniVKtVJ0JP9pmW3ky2rzlzSRJQcgKNRgMrKzZnvbS05GREunDhgkXEaoFhGm8hicEQxyyN2wnxbekXYOVDbpSARJavapryyFLXoE4cIeRhWpnWtiQm+7XdK/NtJJqVGNQGXAgJpnnDhZBjg54TIk+/MhMhjmGD1O0jBiXGMYPb8bEDeZqiR0TkETteCeQZ0W73I/bR1iMX5oAvU0ra1zyUOxjkuu1oq4dQR5CsDiPDyJiXly9kJjfIbG/YZzYIfHa7do4GzXku67PWkAslALjbkPkCRohITUNlepI1Go2gfe1MpP2meR6apFKpVHK8+HpympC5/xcXF517k9GAgO0hx2xv+QUk/XfhwgWr7OLFizh+/Fk3jYWFBRw4cMA65/rrr3cyBy0uLlpk4Z49e9T7kNAIRhOaB2Wj0bDubX193fEGLJfLznPc2NiwnlWlUvGSY81mE2fOnLlyfPnyZTz11FPWOWtra1amI8B1aNLuXSMh5bE2tnyOUJqHq5ZGT9sbMRS5UQI+7CTbflAiTPNgzEN/DCpjKIE3KOmmzeJG3UfDyhharyzLu8fg2JCXqWoa8i5fRISJ3MwEBuEE5BcgtJ60shAt76tHmjCDLFtp8N1HyBKl5s+vxSloW5qZcmp5ALTprbx/bclSizkYVmmmTbW1KbJvqj1qBW7OUrLY9j6+LKTch9woARPazYSkhm40Gla0X71eV+1CWX+lUvGucWv2ptyLUDqDVCoVx1acnZ21nG9mZ2e925Axs+UIxOxm+9UccTY3N62IuNOnTzsyPvbYY05k3w033GDJfeONNzrXaTyB+Yw6nY5j/7fbbacsJEuuFkVoPmdmd2vyTqeDxx9/3Cqr1+vWVu2NRkONhpTty63itC3PpJ0ulWDaR0H2qwz60hS3tk3dIByAI0PmKyMiInYEohKImBhMAtcyCTJKRCUQMTHIw4qID5Mgo0QuOIFByI9+50iiRyOnNEgOIIQY1IjALD7nmnxamfQT0DgBzQaXOzlJmRqNhsNJrK2tWWvhKysrju2q+W2Y1zCz6luhJej0PWuNx5H3L217mfmpV4/0RxklBiVzQ8q0cRXqLBSKXCgBwHUWMhnptAgsOaDq9bpFGGmDR+uoarWqKgHJkMt6JDGopb32ZbeRjimAO6CZ2XIEYmY888wz1jntdtshxyQRpwXHrK6uOorp5MmTlozHjh1z7uOGG25wrpNOR5pTjYSmgGW9Wgp2M4KTmfHoo49av3c6HSwtLTllvtTxaYFP8lgj9HxBX1rGKAn5jEJS5GtyDqIQQpKKHCWivyWiHxDRI0T0G93yBSL6MhE93v1/vltORPQnRPQEET1MRC8JlsZuN8tlI8O4248YzfJhhB8hnEALwG8y8y0AXgrg7UR0C4C7AXyVmW8G8NXuMQC8CklasZsB3AXgwyOXOmJXIC30OGK08CoBZl5i5m93/15FssPQEQB3Ari/e9r9AF7d/ftOAA9wgm8A2E9Eh0cuec4Rv2ARk4KBOAFKNiF5MYBvAjjEzD2j6wyA3sbzRwA8bVx2sltmGWhEdBeSmYLq+OPzPtO+ENKxQrtOC77QgjikHFpAk0/GtK24zOs03kLjCUx7n5kdxyDNqUQjSkMIJTOzMZAE2kjI4CAisrgMIlIzNPnSbmsyrq2tOff2zDPPWOdJPoTZzTyVhWzWZEwjjn31a2NYyyzlqyeNcPYRimkIVgJENIckf+A7mXlFPDgmooE+fWzsO1AsFrmfwGksv7xG5oOX3leAnmff3MJKDp5e52orEb5Ob7VaDou9urpqvQgrKyvOvck0YZrHoLbHQZbMQtoglCm3ZB5+IEnDJV8MM3VZoVBwoiGLxaKaqsxEvV53ZLp8+bJzb+fPn7/yt6YU0+Aj/bTnKKMItQ9J2rZk5rgKGcO9+n0y+uoZxIMwyE+AiMpIFMDHmfmvusVne9P87v/nuuWnABw1Lr+2WxaxBdiNZsduvOetRMjqAAH4KIAfMvP7jZ++AOCN3b/fCODzRvkbuqsELwWwbJgNESPGbiTOJumeJ0FhhZgDPw3gVwF8j5L9BADg3QDeB+DTlOxDcALJxqQA8EUAdwB4AsAGgDeHCKI5RJh/a9NWX5Ra2tSu33QrLTpOK9MCmExoATPFYtFqb3V11alHbnkGuNPNkCmhNG1G6WAiuQ4isswIIlK3Qdd8KWS9sj82NzdVUysLQu7X5yymRVX6zNlRLncOw21oCNl34GsA0lTvy5XzGcDbgyV49jrrWIus80GLwJKQEWGAa7uFenqZ5Rr/0Gw2vYNlbW1NjXSU12gEZ4iMIcRgli+r9hJKuSW3APjlzhoNJ5cTQ1+6kI+EhKYEtHp9fMwwGGV9MXYgImKXIyqBCcck2JwR+UZUAhOOSSLJdgMmUSnnIoBIW5uXv4cQY5I30Gw7zebTnHy060xIsjJtnd6XTks6D/XOkWBmi7eQNrnmHNOTs99xSIBKVkUT8oxC6g45Jwvxprkla+MjhGCVW55r54UEmEmE+H8AYZGwaciFEpDQOjkkF1y/FQazTFMy/YjBtLpkHVr+Pu0BmgghPNPak8ejIv00DFpP6Atp9n3W9gd5+UMiBH1krqY0NWJSIu2jJNsa1Wwi9JlFc2DCMInTzYh8IyqBCUPkACJGjagEIiJ2OXLDCfhsfs229m29lGbfyfN83mdpX1+ZtUd6DGoy9mQYtD1pK4bYklpUZRZzIvS6rJltRtV+aF0mQpyTQhyztOcs083LY41HkqRv6F4NGsEZitwogVHAx5j2u84kBtMIxX5thbrkhg5m3wsVIuNuw1YpoRCEjJtRPbMsY6gfojkQEbHLEZVARMQuR27MgX7TJlKyu6bZU/I6LfmDL7OQzJqj1Q3YUYNpHIXPbNAy7Whl0p6UEXrMerahYban2i5sZ3SdOY7SuBctQjLEv0C2b2Zb1rIqMeup42VZSFvafYQil0og5DhrvRo0e07al4OEjg6KUFuxH2+R1U4cFUex1dguZ6Gs95aFEximH0fJ/0yMORCdZCIitgYTowQmgfmOiipiUGxlzoFQTIwSmARMgqKKyBeyBv2MVIY8fL2I6BkA6wDO+87NMRYx2fIDk38Pky4/sLX38FxmPigLc6EEAICIHmTm28YtR1ZMuvzA5N/DpMsPjOceojkQEbHLEZVARMQuR56UwL3jFmBITLr8wOTfw6TLD4zhHnLDCURERIwHeZoJREREjAFRCURE7HKMXQkQ0SuJ6FEieoKI7h63PKEgoqeI6HtE9B0ierBbtkBEXyaix7v/z49bThNEdB8RnSOi7xtlqsyU4E+6z+VhInrJ+CS/Iqsm/3uJ6FT3OXyHiO4wfntXV/5HiegXxyP1syCio0T0t0T0AyJ6hIh+P85IxwAAApNJREFUo1s+3mfQy1Iyjn8AigCOAbgBQAXAdwHcMk6ZBpD9KQCLouyPANzd/ftuAP9h3HIK+V4G4CUAvu+TGcl+kn+NZAu6lwL4Zk7lfy+Af6ece0t3PFUBXN8dZ8Uxy38YwEu6f+8B8FhXzrE+g3HPBG4H8AQzH2fmBoBPArhzzDINgzsB3N/9+34Arx6jLA6Y+e8AXBTFaTLfCeABTvANAPupuxX9uJAifxruBPBJZq4z85NINsi9fcuECwAzLzHzt7t/rwL4IYAjGPMzGLcSOALgaeP4ZLdsEsAAvkREDxHRXd2yQ/zsNuxnABwaj2gDIU3mSXo27+hOl+8zTLBcy09E1wF4MYBvYszPYNxKYJLxM8z8EgCvAvB2InqZ+SMn87mJWn+dRJkBfBjAjQBuBbAE4J7xiuMHEc0B+AyAdzKztXXzOJ7BuJXAKQBHjeNru2W5BzOf6v5/DsBnkUw1z/ama93/z41PwmCkyTwRz4aZzzJzm5k7AD6CZ6f8uZSfiMpIFMDHmfmvusVjfQbjVgLfAnAzEV1PRBUArwPwhTHL5AURzRLRnt7fAF4B4PtIZH9j97Q3Avj8eCQcCGkyfwHAG7oM9UsBLBtT1txA2MivQfIcgET+1xFRlYiuB3AzgH/YbvlMUBIr/FEAP2Tm9xs/jfcZjJMtNRjQx5Cwt+8ZtzyBMt+AhHn+LoBHenIDOADgqwAeB/AVAAvjllXI/QkkU+YmEvvyLWkyI2Gk/3P3uXwPwG05lf/PuvI93H1pDhvnv6cr/6MAXpUD+X8GyVT/YQDf6f67Y9zPILoNR0TscozbHIiIiBgzohKIiNjliEogImKXIyqBiIhdjqgEIiJ2OaISiIjY5YhKICJil+P/A4VRrNHFIs83AAAAAElFTkSuQmCC\n",
-            "text/plain": [
-              "<Figure size 432x288 with 1 Axes>"
-            ]
-          },
-          "metadata": {
-            "needs_background": "light"
-          }
-        }
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
+       "</pre>\n"
       ],
-      "source": [
-        "# path for the image to see if it predics correct class\n",
-        "\n",
-        "path = \"/content/images/images/validation/angry/10052.jpg\"\n",
-        "img = load_img(path, target_size=(224,224) )\n",
-        "\n",
-        "i = img_to_array(img)/255\n",
-        "input_arr = np.array([i])\n",
-        "input_arr.shape\n",
-        "\n",
-        "pred = np.argmax(model.predict(input_arr))\n",
-        "\n",
-        "print(f\" the image is of {op[pred]}\")\n",
-        "\n",
-        "# to display the image  \n",
-        "plt.imshow(input_arr[0])\n",
-        "plt.title(\"input image\")\n",
-        "plt.show()"
+      "text/plain": [
+       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
       ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
-  ],
-  "metadata": {
-    "accelerator": "GPU",
-    "colab": {
-      "name": "Emotion Detection.ipynb",
-      "provenance": [],
-      "collapsed_sections": [],
-      "include_colab_link": true
+   ],
+   "source": [
+    "model.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m163s\u001b[0m 721ms/step - accuracy: 0.2485 - loss: 1.8141 - val_accuracy: 0.2474 - val_loss: 1.7759\n",
+      "Epoch 2/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m167s\u001b[0m 741ms/step - accuracy: 0.2652 - loss: 1.7614 - val_accuracy: 0.3428 - val_loss: 1.6140\n",
+      "Epoch 3/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m162s\u001b[0m 716ms/step - accuracy: 0.3547 - loss: 1.6208 - val_accuracy: 0.4413 - val_loss: 1.4389\n",
+      "Epoch 4/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m165s\u001b[0m 732ms/step - accuracy: 0.4107 - loss: 1.5052 - val_accuracy: 0.4875 - val_loss: 1.3462\n",
+      "Epoch 5/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m153s\u001b[0m 675ms/step - accuracy: 0.4446 - loss: 1.4315 - val_accuracy: 0.5048 - val_loss: 1.3081\n",
+      "Epoch 6/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m143s\u001b[0m 632ms/step - accuracy: 0.4617 - loss: 1.3840 - val_accuracy: 0.5109 - val_loss: 1.2659\n",
+      "Epoch 7/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m143s\u001b[0m 632ms/step - accuracy: 0.4815 - loss: 1.3489 - val_accuracy: 0.5212 - val_loss: 1.2462\n",
+      "Epoch 8/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m142s\u001b[0m 627ms/step - accuracy: 0.4955 - loss: 1.3206 - val_accuracy: 0.5307 - val_loss: 1.2205\n",
+      "Epoch 9/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m142s\u001b[0m 628ms/step - accuracy: 0.5054 - loss: 1.2974 - val_accuracy: 0.5379 - val_loss: 1.2095\n",
+      "Epoch 10/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m142s\u001b[0m 627ms/step - accuracy: 0.5092 - loss: 1.2716 - val_accuracy: 0.5563 - val_loss: 1.1716\n",
+      "Epoch 11/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m142s\u001b[0m 627ms/step - accuracy: 0.5200 - loss: 1.2529 - val_accuracy: 0.5614 - val_loss: 1.1655\n",
+      "Epoch 12/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m142s\u001b[0m 629ms/step - accuracy: 0.5178 - loss: 1.2529 - val_accuracy: 0.5652 - val_loss: 1.1585\n",
+      "Epoch 13/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m143s\u001b[0m 631ms/step - accuracy: 0.5307 - loss: 1.2300 - val_accuracy: 0.5610 - val_loss: 1.1604\n",
+      "Epoch 14/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m156s\u001b[0m 689ms/step - accuracy: 0.5352 - loss: 1.1993 - val_accuracy: 0.5716 - val_loss: 1.1335\n",
+      "Epoch 15/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m149s\u001b[0m 658ms/step - accuracy: 0.5451 - loss: 1.1987 - val_accuracy: 0.5736 - val_loss: 1.1247\n",
+      "Epoch 16/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m148s\u001b[0m 654ms/step - accuracy: 0.5498 - loss: 1.1881 - val_accuracy: 0.5812 - val_loss: 1.1190\n",
+      "Epoch 17/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m148s\u001b[0m 655ms/step - accuracy: 0.5540 - loss: 1.1774 - val_accuracy: 0.5757 - val_loss: 1.1130\n",
+      "Epoch 18/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m148s\u001b[0m 655ms/step - accuracy: 0.5564 - loss: 1.1757 - val_accuracy: 0.5732 - val_loss: 1.1302\n",
+      "Epoch 19/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m148s\u001b[0m 653ms/step - accuracy: 0.5603 - loss: 1.1541 - val_accuracy: 0.5890 - val_loss: 1.1106\n",
+      "Epoch 20/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m148s\u001b[0m 653ms/step - accuracy: 0.5684 - loss: 1.1352 - val_accuracy: 0.5860 - val_loss: 1.0979\n",
+      "Epoch 21/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 652ms/step - accuracy: 0.5683 - loss: 1.1356 - val_accuracy: 0.5954 - val_loss: 1.0930\n",
+      "Epoch 22/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 652ms/step - accuracy: 0.5801 - loss: 1.1085 - val_accuracy: 0.5815 - val_loss: 1.1260\n",
+      "Epoch 23/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 652ms/step - accuracy: 0.5773 - loss: 1.1219 - val_accuracy: 0.5931 - val_loss: 1.0828\n",
+      "Epoch 24/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 652ms/step - accuracy: 0.5818 - loss: 1.1081 - val_accuracy: 0.5995 - val_loss: 1.0735\n",
+      "Epoch 25/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 652ms/step - accuracy: 0.5837 - loss: 1.0986 - val_accuracy: 0.5982 - val_loss: 1.0711\n",
+      "Epoch 26/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 652ms/step - accuracy: 0.5806 - loss: 1.1013 - val_accuracy: 0.6060 - val_loss: 1.0692\n",
+      "Epoch 27/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.5925 - loss: 1.0784 - val_accuracy: 0.6032 - val_loss: 1.0670\n",
+      "Epoch 28/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.5994 - loss: 1.0614 - val_accuracy: 0.6057 - val_loss: 1.0673\n",
+      "Epoch 29/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.5982 - loss: 1.0666 - val_accuracy: 0.6035 - val_loss: 1.0733\n",
+      "Epoch 30/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m148s\u001b[0m 653ms/step - accuracy: 0.5999 - loss: 1.0540 - val_accuracy: 0.6002 - val_loss: 1.0690\n",
+      "Epoch 31/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.6031 - loss: 1.0455 - val_accuracy: 0.6003 - val_loss: 1.0660\n",
+      "Epoch 32/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.6102 - loss: 1.0371 - val_accuracy: 0.6112 - val_loss: 1.0517\n",
+      "Epoch 33/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.6011 - loss: 1.0533 - val_accuracy: 0.6112 - val_loss: 1.0506\n",
+      "Epoch 34/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.6111 - loss: 1.0320 - val_accuracy: 0.6083 - val_loss: 1.0526\n",
+      "Epoch 35/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m148s\u001b[0m 655ms/step - accuracy: 0.6187 - loss: 1.0160 - val_accuracy: 0.6110 - val_loss: 1.0459\n",
+      "Epoch 36/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 652ms/step - accuracy: 0.6224 - loss: 1.0074 - val_accuracy: 0.6049 - val_loss: 1.0557\n",
+      "Epoch 37/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.6212 - loss: 1.0126 - val_accuracy: 0.6102 - val_loss: 1.0483\n",
+      "Epoch 38/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 653ms/step - accuracy: 0.6177 - loss: 1.0131 - val_accuracy: 0.6118 - val_loss: 1.0422\n",
+      "Epoch 39/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 652ms/step - accuracy: 0.6311 - loss: 0.9852 - val_accuracy: 0.6111 - val_loss: 1.0506\n",
+      "Epoch 40/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.6255 - loss: 0.9953 - val_accuracy: 0.6148 - val_loss: 1.0430\n",
+      "Epoch 41/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.6314 - loss: 0.9916 - val_accuracy: 0.6180 - val_loss: 1.0468\n",
+      "Epoch 42/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 653ms/step - accuracy: 0.6350 - loss: 0.9856 - val_accuracy: 0.6159 - val_loss: 1.0418\n",
+      "Epoch 43/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.6362 - loss: 0.9703 - val_accuracy: 0.6144 - val_loss: 1.0555\n",
+      "Epoch 44/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 650ms/step - accuracy: 0.6298 - loss: 0.9833 - val_accuracy: 0.6175 - val_loss: 1.0389\n",
+      "Epoch 45/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 651ms/step - accuracy: 0.6334 - loss: 0.9764 - val_accuracy: 0.6182 - val_loss: 1.0425\n",
+      "Epoch 46/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 650ms/step - accuracy: 0.6465 - loss: 0.9535 - val_accuracy: 0.6206 - val_loss: 1.0276\n",
+      "Epoch 47/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 650ms/step - accuracy: 0.6414 - loss: 0.9598 - val_accuracy: 0.6194 - val_loss: 1.0283\n",
+      "Epoch 48/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 650ms/step - accuracy: 0.6351 - loss: 0.9639 - val_accuracy: 0.6193 - val_loss: 1.0530\n",
+      "Epoch 49/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m148s\u001b[0m 654ms/step - accuracy: 0.6446 - loss: 0.9451 - val_accuracy: 0.6244 - val_loss: 1.0355\n",
+      "Epoch 50/50\n",
+      "\u001b[1m226/226\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m147s\u001b[0m 652ms/step - accuracy: 0.6553 - loss: 0.9360 - val_accuracy: 0.6180 - val_loss: 1.0350\n"
+     ]
+    }
+   ],
+   "source": [
+    "history = model.fit(x= x_train,y = y_train, batch_size = 128, epochs = 50, validation_data = (x_test,y_test)) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n"
+     ]
+    }
+   ],
+   "source": [
+    "model.save(\"final_model_cnn.h5\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "label = ['angry','disgust','fear','happy','neutral','sad','surprise']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1m221/221\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 49ms/step\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import roc_curve, auc\n",
+    "from sklearn.preprocessing import label_binarize\n",
+    "from sklearn.metrics import roc_auc_score\n",
+    "import matplotlib.pyplot as plt\n",
+    "from itertools import cycle\n",
+    "import numpy as np\n",
+    "\n",
+    "# Get the predictions for the test data\n",
+    "y_score = model.predict(x_test)\n",
+    "\n",
+    "# Binarize the output for ROC curve calculation\n",
+    "n_classes = y_test.shape[1]\n",
+    "y_test_binarized = y_test\n",
+    "\n",
+    "# Compute ROC curve and ROC area for each class\n",
+    "fpr = dict()\n",
+    "tpr = dict()\n",
+    "roc_auc = dict()\n",
+    "for i in range(n_classes):\n",
+    "    fpr[i], tpr[i], _ = roc_curve(y_test_binarized[:, i], y_score[:, i])\n",
+    "    roc_auc[i] = auc(fpr[i], tpr[i])\n",
+    "\n",
+    "# Plot all ROC curves\n",
+    "plt.figure(figsize=(10, 8))\n",
+    "colors = cycle(['blue', 'red', 'green', 'purple', 'orange', 'cyan', 'brown'])\n",
+    "for i, color in zip(range(n_classes), colors):\n",
+    "    plt.plot(fpr[i], tpr[i], color=color, lw=2,\n",
+    "             label=f'Class {label[i]} (AUC = {roc_auc[i]:.2f})')\n",
+    "\n",
+    "# Plot the diagonal line (no-skill classifier)\n",
+    "plt.plot([0, 1], [0, 1], 'k--', lw=2)\n",
+    "plt.xlim([0.0, 1.0])\n",
+    "plt.ylim([0.0, 1.05])\n",
+    "plt.xlabel('False Positive Rate')\n",
+    "plt.ylabel('True Positive Rate')\n",
+    "plt.title('Receiver Operating Characteristic (ROC) curves for each class')\n",
+    "plt.legend(loc=\"lower right\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1m221/221\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 48ms/step\n"
+     ]
     },
-    "kernelspec": {
-      "display_name": "Python 3",
-      "name": "python3"
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import confusion_matrix\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "y_pred = model.predict(x_test)\n",
+    "y_pred_classes = np.argmax(y_pred, axis=1)  \n",
+    "y_true_classes = np.argmax(y_test, axis=1)  \n",
+    "\n",
+    "conf_matrix = confusion_matrix(y_true_classes, y_pred_classes)\n",
+    "\n",
+    "\n",
+    "label = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']\n",
+    "\n",
+    "\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "sns.heatmap(conf_matrix, annot=True, fmt='d', cmap='Blues', xticklabels=label, yticklabels=label)\n",
+    "plt.xlabel('Predicted Labels')\n",
+    "plt.ylabel('True Labels')\n",
+    "plt.title('Confusion Matrix for Emotion Detection')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy Score: 61.80%\n"
+     ]
     },
-    "language_info": {
-      "name": "python"
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 800x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import accuracy_score\n",
+    "y_pred_classes = np.argmax(y_pred, axis=1)\n",
+    "y_true_classes = np.argmax(y_test, axis=1)\n",
+    "accuracy = accuracy_score(y_true_classes, y_pred_classes)\n",
+    "print(f\"Accuracy Score: {accuracy * 100:.2f}%\")\n",
+    "\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Assuming 'history' is the variable where model.fit() history is stored\n",
+    "# and 'gender_out_accuracy' represents the accuracy for gender classification in your model.\n",
+    "\n",
+    "# Extract training and validation accuracy for each epoch\n",
+    "train_acc = history.history['accuracy']\n",
+    "val_acc = history.history['val_accuracy']\n",
+    "epochs = range(1, len(train_acc) + 1)\n",
+    "\n",
+    "# Plotting the accuracy curve\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "plt.plot(epochs, train_acc, label='Training Accuracy', color='blue')\n",
+    "plt.plot(epochs, val_acc, label='Validation Accuracy', color='orange')\n",
+    "plt.xlabel('Epochs')\n",
+    "plt.ylabel('Accuracy')\n",
+    "plt.title('Training and Validation Accuracy over Epochs')\n",
+    "plt.legend()\n",
+    "plt.grid(True)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Training Accuracy: 78.99%\n",
+      "Validation Accuracy: 61.80%\n"
+     ]
     }
+   ],
+   "source": [
+    "train_loss, train_accuracy = model.evaluate(x_train, y_train, verbose=0)\n",
+    "print(f\"Training Accuracy: {train_accuracy * 100:.2f}%\")\n",
+    "val_loss, val_accuracy = model.evaluate(x_test, y_test, verbose=0)\n",
+    "print(f\"Validation Accuracy: {val_accuracy * 100:.2f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tensorflow.keras.models import load_model\n",
+    "from tensorflow.keras.metrics import MeanAbsoluteError\n",
+    "import numpy as np\n",
+    "\n",
+    "# Load the model with custom objects\n",
+    "model = load_model(\"final_model_cnn.h5\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[1m221/221\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m11s\u001b[0m 49ms/step\n",
+      "Classification Report:\n",
+      "               precision    recall  f1-score   support\n",
+      "\n",
+      "       angry       0.55      0.50      0.53       960\n",
+      "     disgust       0.64      0.48      0.55       111\n",
+      "        fear       0.50      0.29      0.37      1018\n",
+      "       happy       0.79      0.84      0.82      1825\n",
+      "     neutral       0.53      0.62      0.57      1216\n",
+      "         sad       0.47      0.52      0.50      1139\n",
+      "    surprise       0.72      0.81      0.76       797\n",
+      "\n",
+      "    accuracy                           0.62      7066\n",
+      "   macro avg       0.60      0.58      0.58      7066\n",
+      "weighted avg       0.61      0.62      0.61      7066\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.metrics import classification_report, confusion_matrix\n",
+    "import numpy as np\n",
+    "\n",
+    "# Predicting the labels for test data\n",
+    "predictions = model.predict(x_test)\n",
+    "predicted_labels = np.argmax(predictions, axis=1)\n",
+    "true_labels = np.argmax(y_test, axis=1)\n",
+    "\n",
+    "# Generating the classification report\n",
+    "label_names = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']\n",
+    "report = classification_report(true_labels, predicted_labels, target_names=label_names)\n",
+    "print(\"Classification Report:\\n\", report)"
+   ]
+  }
+ ],
+ "metadata": {
+  "accelerator": "GPU",
+  "colab": {
+   "collapsed_sections": [],
+   "include_colab_link": true,
+   "name": "Emotion Detection.ipynb",
+   "provenance": []
+  },
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
   },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 0
+}
diff --git a/Computer Vision/Face-expression recommendation system/app.py b/Computer Vision/Face-expression recommendation system/app.py
index 773012d4..ac291dda 100644
--- a/Computer Vision/Face-expression recommendation system/app.py	
+++ b/Computer Vision/Face-expression recommendation system/app.py	
@@ -24,7 +24,7 @@ def camera():
     i=0
 
     GR_dict={0:(0,255,0),1:(0,0,255)}
-    model = tf.keras.models.load_model('final_model.h5')
+    model = tf.keras.models.load_model('final_model_cnn.h5')
     face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
     output=[]
     cap = cv2.VideoCapture(0)
diff --git a/Computer Vision/Face-expression recommendation system/final_model_cnn.h5 b/Computer Vision/Face-expression recommendation system/final_model_cnn.h5
new file mode 100644
index 00000000..0ef15e4c
Binary files /dev/null and b/Computer Vision/Face-expression recommendation system/final_model_cnn.h5 differ
diff --git a/Computer Vision/Face-expression recommendation system/final_model.h5 b/Computer Vision/Face-expression recommendation system/final_model_mobilenet.h5
similarity index 84%
rename from Computer Vision/Face-expression recommendation system/final_model.h5
rename to Computer Vision/Face-expression recommendation system/final_model_mobilenet.h5
index 124326c8..427c86f5 100644
Binary files a/Computer Vision/Face-expression recommendation system/final_model.h5 and b/Computer Vision/Face-expression recommendation system/final_model_mobilenet.h5 differ
diff --git a/Computer Vision/Face-expression recommendation system/index.html b/Computer Vision/Face-expression recommendation system/index.html
deleted file mode 100644
index 3dedec90..00000000
--- a/Computer Vision/Face-expression recommendation system/index.html	
+++ /dev/null
@@ -1,31 +0,0 @@
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-<head><meta charset="utf-8" /></head>
-<body>
-    <div>
-        
-                <script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
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c=["","0","00","000","0000","00000","000000","0000000","00000000","000000000","0000000000","00000000000","000000000000","0000000000000","00000000000000","000000000000000","0000000000000000","00000000000000000","000000000000000000","0000000000000000000","00000000000000000000","000000000000000000000","0000000000000000000000","00000000000000000000000","000000000000000000000000","0000000000000000000000000"],u=[0,0,25,16,12,11,10,9,8,8,7,7,7,7,6,6,6,6,6,6,6,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5],h=[0,0,33554432,43046721,16777216,48828125,60466176,40353607,16777216,43046721,1e7,19487171,35831808,62748517,7529536,11390625,16777216,24137569,34012224,47045881,64e6,4084101,5153632,6436343,7962624,9765625,11881376,14348907,17210368,20511149,243e5,28629151,33554432,39135393,45435424,52521875,60466176];function f(t,e,r){r.negative=e.negative^t.negative;var n=t.length+e.length|0;r.length=n,n=n-1|0;var i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var c=1;c<n;c++){for(var u=l>>>26,h=67108863&l,f=Math.min(c,e.length-1),p=Math.max(0,c-t.length+1);p<=f;p++){var d=c-p|0;u+=(o=(i=0|t.words[d])*(a=0|e.words[p])+h)/67108864|0,h=67108863&o}r.words[c]=0|h,l=0|u}return 0!==l?r.words[c]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||"hex"===t){r="";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!==(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}if(t===(0|t)&&t>=2&&t<=36){var f=u[t],p=h[t];r="";var d=this.clone();for(d.negative=0;!d.isZero();){var g=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?g+r:c[f-g.length]+g+r}for(this.isZero()&&(r="0"+r);r.length%e!=0;)r="0"+r;return 0!==this.negative&&(r="-"+r),r}n(!1,"Base should be between 2 and 36")},a.prototype.toNumber=function(){var t=this.words[0];return 2===this.length?t+=67108864*this.words[1]:3===this.length&&1===this.words[2]?t+=4503599627370496+67108864*this.words[1]:this.length>2&&n(!1,"Number can only safely store up to 53 bits"),0!==this.negative?-t:t},a.prototype.toJSON=function(){return this.toString(16)},a.prototype.toBuffer=function(t,e){return n("undefined"!=typeof o),this.toArrayLike(o,t,e)},a.prototype.toArray=function(t,e){return this.toArrayLike(Array,t,e)},a.prototype.toArrayLike=function(t,e,r){var i=this.byteLength(),a=r||Math.max(1,i);n(i<=a,"byte array longer than desired length"),n(a>0,"Requested array length <= 0"),this.strip();var o,s,l="le"===e,c=new t(a),u=this.clone();if(l){for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[s]=o;for(;s<a;s++)c[s]=0}else{for(s=0;s<a-i;s++)c[s]=0;for(s=0;!u.isZero();s++)o=u.andln(255),u.iushrn(8),c[a-s-1]=o}return c},Math.clz32?a.prototype._countBits=function(t){return 32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return 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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 p=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,g=p>>>13,v=0|o[2],m=8191&v,y=v>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],k=8191&w,T=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],C=8191&E,L=E>>>13,P=0|o[7],O=8191&P,z=P>>>13,I=0|o[8],D=8191&I,R=I>>>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,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var vt=(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)+(vt>>>26)|0,vt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var mt=(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)+(mt>>>26)|0,mt&=67108863,n=Math.imul(m,U),i=(i=Math.imul(m,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,H)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,X)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(m,H)|0,i=(i=i+Math.imul(m,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(h,J)|0)|0)+((8191&(i=(i=i+Math.imul(h,K)|0)+Math.imul(f,J)|0))<<13)|0;c=((a=a+Math.imul(f,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(k,U),i=(i=Math.imul(k,V))+Math.imul(T,U)|0,a=Math.imul(T,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(m,W)|0,i=(i=i+Math.imul(m,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(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)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(k,H)|0,i=(i=i+Math.imul(k,G)|0)+Math.imul(T,H)|0,a=a+Math.imul(T,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(m,J)|0,i=(i=i+Math.imul(m,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,Q)|0,a=a+Math.imul(g,tt)|0;var _t=(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)+(_t>>>26)|0,_t&=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(k,W)|0,i=(i=i+Math.imul(k,X)|0)+Math.imul(T,W)|0,a=a+Math.imul(T,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(m,Q)|0,i=(i=i+Math.imul(m,tt)|0)+Math.imul(y,Q)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,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(O,U),i=(i=Math.imul(O,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,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(k,J)|0,i=(i=i+Math.imul(k,K)|0)+Math.imul(T,J)|0,a=a+Math.imul(T,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(m,rt)|0,i=(i=i+Math.imul(m,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var kt=(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)+(kt>>>26)|0,kt&=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(O,H)|0,i=(i=i+Math.imul(O,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,X)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(k,Q)|0,i=(i=i+Math.imul(k,tt)|0)+Math.imul(T,Q)|0,a=a+Math.imul(T,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(m,at)|0,i=(i=i+Math.imul(m,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var Tt=(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)+(Tt>>>26)|0,Tt&=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(O,W)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,X)|0,n=n+Math.imul(C,J)|0,i=(i=i+Math.imul(C,K)|0)+Math.imul(L,J)|0,a=a+Math.imul(L,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(k,rt)|0,i=(i=i+Math.imul(k,nt)|0)+Math.imul(T,rt)|0,a=a+Math.imul(T,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(m,lt)|0,i=(i=i+Math.imul(m,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(g,ht)|0,a=a+Math.imul(g,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,gt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,gt)|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,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(z,J)|0,a=a+Math.imul(z,K)|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(k,at)|0,i=(i=i+Math.imul(k,ot)|0)+Math.imul(T,at)|0,a=a+Math.imul(T,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(m,ht)|0,i=(i=i+Math.imul(m,ft)|0)+Math.imul(y,ht)|0,a=a+Math.imul(y,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(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(k,lt)|0,i=(i=i+Math.imul(k,ct)|0)+Math.imul(T,lt)|0,a=a+Math.imul(T,ct)|0,n=n+Math.imul(b,ht)|0,i=(i=i+Math.imul(b,ft)|0)+Math.imul(_,ht)|0,a=a+Math.imul(_,ft)|0;var St=(c+(n=n+Math.imul(m,dt)|0)|0)+((8191&(i=(i=i+Math.imul(m,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(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(O,rt)|0,i=(i=i+Math.imul(O,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(k,ht)|0,i=(i=i+Math.imul(k,ft)|0)+Math.imul(T,ht)|0,a=a+Math.imul(T,ft)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|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(O,at)|0,i=(i=i+Math.imul(O,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(k,dt)|0)|0)+((8191&(i=(i=i+Math.imul(k,gt)|0)+Math.imul(T,dt)|0))<<13)|0;c=((a=a+Math.imul(T,gt)|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(O,lt)|0,i=(i=i+Math.imul(O,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,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|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(O,ht)|0,i=(i=i+Math.imul(O,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var Pt=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,gt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=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 Ot=(c+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,gt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=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,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var It=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(It>>>26)|0,It&=67108863,l[0]=vt,l[1]=mt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=kt,l[8]=Tt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=Pt,l[16]=Ot,l[17]=zt,l[18]=It,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=f),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?f(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,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):d(this,t,e)},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],g=n[u+p],v=r[u+p+o],m=n[u+p+o],y=h*v-f*m;m=h*m+f*v,v=y,r[u+p]=d+v,n[u+p]=g+m,r[u+p+o]=d-v,n[u+p+o]=g-m,p!==s&&(y=l*h-c*f,f=l*f+c*h,h=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,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),d(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,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),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 w(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 v={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){m.call(this,"k256","ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f")}function x(){m.call(this,"p224","ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001")}function b(){m.call(this,"p192","ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff")}function _(){m.call(this,"25519","7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed")}function w(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){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(y,m),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(x,m),i(b,m),i(_,m),_.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(v[t])return v[t];var e;if("k256"===t)e=new y;else if("p224"===t)e=new x;else if("p192"===t)e=new b;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new _}return v[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.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)},w.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},w.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)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.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 g=p,v=0;0!==g.cmp(s);v++)g=g.redSqr();n(v<d);var m=this.pow(h,new a(1).iushln(d-v-1));f=f.redMul(m),h=m.redSqr(),p=p.redMul(h),d=v}return f},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.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 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u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=["auto","auto","auto"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont="sans-serif",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=["auto","auto","auto"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var h=u.prototype;function f(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}h.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]}),u=!1,h=!1;if("bounds"in t)for(var f=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)f[p][d]!==this.bounds[p][d]&&(h=!0),this.bounds[p][d]=f[p][d];if("ticks"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a("tickSpacing")&&(this.autoTicks=!0,h=!0);if(this._firstInit&&("ticks"in t||"tickSpacing"in t||(this.autoTicks=!0),h=!0,u=!0,this._firstInit=!1),h&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort(function(t,e){return t.x-e.x});s.equal(r,this.ticks)?u=!1:this.ticks=r}o("tickEnable"),l("tickFont")&&(u=!0),a("tickSize"),a("tickAngle"),a("tickPad"),c("tickColor");var g=l("labels");l("labelFont")&&(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"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new f,new f,new f];function d(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 g=[0,0,0],v={model:l,view:l,projection:l,_ortho:!1};h.isOpaque=function(){return!0},h.isTransparent=function(){return!1},h.drawTransparent=function(t){};var m=[0,0,0],y=[0,0,0],x=[0,0,0];h.draw=function(t){t=t||v;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),h=u.cubeEdges,f=u.axis,b=n[12],_=n[13],w=n[14],k=n[15],T=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*k)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=h[A],this.lastCubeProps.axis[A]=f[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,h,f);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=f[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var C=[0,0,0];f[A]>0?C[A]=a[1][A]:C[A]=a[0][A];for(var L=0;L<2;++L){var P=(A+1+L)%3,O=(A+1+(1^L))%3;this.gridEnable[P]&&this._lines.drawGrid(P,O,this.bounds,C,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(L=0;L<2;++L){P=(A+1+L)%3,O=(A+1+(1^L))%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(P,O,this.bounds,C,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 z=c(m,M[A].primalMinor),I=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(L=0;L<3;++L){var R=T/r[5*L];z[L]*=D[L]*R,I[L]*=D[L]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,I,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[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?N(n):a>0&&l<0?N(n):a<0&&l>0?N(n):a<0&&l<0?N(n):o>0&&s>0?N(i):o>0&&s<0?N(i):o<0&&s>0?N(i):o<0&&s<0&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=c(x,M[A].primalOffset);for(L=0;L<3;++L)this.lineTickEnable[A]&&(q[L]+=T*U[L]*Math.max(this.lineTickLength[L],0)/r[5*L]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]="auto"):this.tickAlign[A]=-1,F=1,"auto"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]),B=[0,0,0],j(A,U,V);for(L=0;L<3;++L)q[L]+=T*U[L]*this.tickPad[L]/r[5*L];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),"auto"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(""+S[0]);for(L=0;L<3;++L)q[L]+=T*U[L]*this.labelPad[L]/r[5*L];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],B,S)}}this._text.unbind()},h.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{"./lib/background.js":234,"./lib/cube.js":235,"./lib/lines.js":236,"./lib/text.js":238,"./lib/ticks.js":239}],234:[function(t,e,r){"use strict";e.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 g=-1;g<=1;g+=2)h[u]=g,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var v=c;c=u,u=v}var m=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:m,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:m,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,m,x,b)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").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()}},{"./shaders":237,"gl-buffer":241,"gl-vao":327}],235:[function(t,e,r){"use strict";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],f(l[y],u,s),y+=1}}for(var w=-1,x=0;x<8;++x){for(var k=l[x][3],T=0;T<3;++T)c[x][T]=l[x][T]/k;p&&(c[x][2]*=-1),k<0&&(w<0?w=x: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 P=L<<A,O=P+(L<<M)+(1-L<<S),z=P+(1-L<<M)+(L<<S);o(c[P],c[O],c[z],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<A);else{for(var L=0;L<2;++L){var P=L<<A,O=P+(L<<M)+(1-L<<S),z=P+(1-L<<M)+(L<<S),I=d([l[P],l[O],l[z],l[P+(1<<M)+(1<<S)]]);L?E=I:C=I}C>E&&(w|=1<<A)}}}for(var D=7^w,R=-1,x=0;x<8;++x)x!==w&&x!==D&&(R<0?R=x:c[R][1]>c[x][1]&&(R=x));for(var F=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D){F<0&&(F=B);var S=c[B];S[0]<c[F][0]&&(F=B)}}for(var N=-1,x=0;x<3;++x){var B=R^1<<x;if(B!==w&&B!==D&&B!==F){N<0&&(N=B);var S=c[B];S[0]>c[N][0]&&(N=B)}}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^N)]=R&N;var U=7^N;U===w||U===D?(U=7^F,j[n.log2(N^U)]=U&N):j[n.log2(F^U)]=U&F;for(var V=v,q=w,A=0;A<3;++A)V[A]=q&1<<A?-1:1;return m};var n=t("bit-twiddle"),i=t("gl-mat4/multiply"),a=t("split-polygon"),o=t("robust-orientation"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),h=[0,0,0];function f(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var 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 g=[1,1,1],v=[0,0,0],m={cubeEdges:g,axis:v}},{"bit-twiddle":92,"gl-mat4/multiply":267,"robust-orientation":510,"split-polygon":527}],236:[function(t,e,r){"use strict";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var h=0;h<3;++h){for(var f=o.length/3|0,d=0;d<r[h].length;++d){var g=+r[h][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;s[h]=f,l[h]=v-f;for(var f=o.length/3|0,m=0;m<r[h].length;++m){var g=+r[h][m].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var v=o.length/3|0;c[h]=f,u[h]=v-f}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function h(t){return t[0]=t[1]=t[2]=0,t}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,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 g=h(l);g[t]=1,this.shader.uniforms.screenAxis=g,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()}},{"./shaders":237,"gl-buffer":241,"gl-vao":327}],237:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),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}"]);r.line=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"}])};var s=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\n\nuniform mat4 model, view, projection;\nuniform vec3 offset, axis, alignDir, alignOpt;\nuniform float scale, angle, pixelScale;\nuniform vec2 resolution;\n\nvec3 project(vec3 p) {\n  vec4 pp = projection * view * model * vec4(p, 1.0);\n  return pp.xyz / max(pp.w, 0.0001);\n}\n\nfloat computeViewAngle(vec3 a, vec3 b) {\n  vec3 A = project(a);\n  vec3 B = project(b);\n\n  return atan(\n    (B.y - A.y) * resolution.y,\n    (B.x - A.x) * resolution.x\n  );\n}\n\nconst float PI = 3.141592;\nconst float TWO_PI = 2.0 * PI;\nconst float HALF_PI = 0.5 * PI;\nconst float ONE_AND_HALF_PI = 1.5 * PI;\n\nint option = int(floor(alignOpt.x + 0.001));\nfloat hv_ratio =       alignOpt.y;\nbool enableAlign =    (alignOpt.z != 0.0);\n\nfloat mod_angle(float a) {\n  return mod(a, PI);\n}\n\nfloat positive_angle(float a) {\n  return mod_angle((a < 0.0) ?\n    a + TWO_PI :\n    a\n  );\n}\n\nfloat look_upwards(float a) {\n  float b = positive_angle(a);\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\n    b - PI :\n    b;\n}\n\nfloat look_horizontal_or_vertical(float a, float ratio) {\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\n  // if ratio is set to 0.5 then it is 50%, 50%.\n  // when using a higher ratio e.g. 0.75 the result would\n  // likely be more horizontal than vertical.\n\n  float b = positive_angle(a);\n\n  return\n    (b < (      ratio) * HALF_PI) ? 0.0 :\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\n                                    0.0;\n}\n\nfloat roundTo(float a, float b) {\n  return float(b * floor((a + 0.5 * b) / b));\n}\n\nfloat look_round_n_directions(float a, int n) {\n  float b = positive_angle(a);\n  float div = TWO_PI / float(n);\n  float c = roundTo(b, div);\n  return look_upwards(c);\n}\n\nfloat applyAlignOption(float rawAngle, float delta) {\n  return\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\n                    rawAngle;                // otherwise return back raw input angle\n}\n\nbool isAxisTitle = (axis.x == 0.0) &&\n                   (axis.y == 0.0) &&\n                   (axis.z == 0.0);\n\nvoid main() {\n  //Compute world offset\n  float axisDistance = position.z;\n  vec3 dataPosition = axisDistance * axis + offset;\n\n  float beta = angle; // i.e. user defined attributes for each tick\n\n  float axisAngle;\n  float clipAngle;\n  float flip;\n\n  if (enableAlign) {\n    axisAngle = (isAxisTitle) ? HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.text=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}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);r.bg=function(t){return i(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":301,glslify:409}],238:[function(t,e,r){(function(r){"use strict";e.exports=function(t,e,r,a,s,l){var u=n(t),h=i(t,[{buffer:u,size:3}]),f=o(t);f.attributes.position.location=0;var p=new c(t,f,u,h);return p.update(e,r,a,s,l),p};var n=t("gl-buffer"),i=t("gl-vao"),a=t("vectorize-text"),o=t("./shaders").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,h=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,f=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var v=p[d],m=2;m>=0;--m){var y=f[v[m]];o.push(h*y[0],-h*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],h=[0,0,0],f=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){h[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(o.length/3|0)-h[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=h,this.labelCount=f},u.drawTicks=function(t,e,r,n,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]))},u.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]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this,t("_process"))},{"./shaders":237,_process:482,"gl-buffer":241,"gl-vao":327,"vectorize-text":550}],239:[function(t,e,r){"use 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f=e.model||c,p=e.view||c,m=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(h=h||a(f,p,m,x,y)).axis;o(u,p,f),o(u,m,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var k=n(s(u,u));s(u,u);for(var T=0;T<3;++T){var A=(T+1)%3,M=(T+2)%3,S=v;t:for(var w=0;w<2;++w){var E=[];if(b[T]<0!=!!w){S[T]=x[w][T];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())}for(var P=y?5:4,C=P;C===P;++C){if(0===E.length)continue t;E=i.positive(E,k[C])}for(var C=0;C<E.length;++C)for(var M=E[C],O=d(v,u,M,r,l),L=0;L<3;++L)_[L].lo=Math.min(_[L].lo,M[L]),_[L].hi=Math.max(_[L].hi,M[L]),L!==T&&(_[L].pixelsPerDataUnit=Math.min(_[L].pixelsPerDataUnit,Math.abs(O[L])))}}}return _};var n=t("extract-frustum-planes"),i=t("split-polygon"),a=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function h(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var f=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,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 g=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],v=[0,0,0]},{"./lib/cube.js":235,"extract-frustum-planes":224,"gl-mat4/multiply":267,"gl-mat4/transpose":276,"gl-vec4/transformMat4":398,"split-polygon":527}],241:[function(t,e,r){"use strict";var n=t("typedarray-pool"),i=t("ndarray-ops"),a=t("ndarray"),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&&"undefined"!=typeof t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r="float32"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension("OES_element_index_uint")&&"uint16"!==r?"uint32":"uint16";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=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}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:450,"ndarray-ops":444,"typedarray-pool":545}],242:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=function(t,e){for(var r=0;r<t.length;r++)if(t[r]>=e)return r-1;return r},a=n.create(),o=n.create(),s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t,e,r,l){var c=t[0],u=t[1],h=t[2],f=r[0].length,p=r[1].length,d=r[2].length,g=i(r[0],c),v=i(r[1],u),m=i(r[2],h),y=g+1,x=v+1,b=m+1;if(l&&(g=s(g,0,f-1),y=s(y,0,f-1),v=s(v,0,p-1),x=s(x,0,p-1),m=s(m,0,d-1),b=s(b,0,d-1)),g<0||v<0||m<0||y>=f||x>=p||b>=d)return n.create();var _=(c-r[0][g])/(r[0][y]-r[0][g]),w=(u-r[1][v])/(r[1][x]-r[1][v]),k=(h-r[2][m])/(r[2][b]-r[2][m]);(_<0||_>1||isNaN(_))&&(_=0),(w<0||w>1||isNaN(w))&&(w=0),(k<0||k>1||isNaN(k))&&(k=0);var T=m*f*p,A=b*f*p,M=v*f,S=x*f,E=g,C=y,L=e[M+T+E],P=e[M+T+C],O=e[S+T+E],z=e[S+T+C],I=e[M+A+E],D=e[M+A+C],R=e[S+A+E],F=e[S+A+C],B=n.create();return n.lerp(B,L,P,_),n.lerp(a,O,z,_),n.lerp(B,B,a,w),n.lerp(a,I,D,_),n.lerp(o,R,F,_),n.lerp(a,a,o,w),n.lerp(B,B,a,k),B};e.exports=function(t,e){var r;r=t.positions?t.positions:function(t){for(var e=t[0],r=t[1],n=t[2],i=[],a=0;a<n.length;a++)for(var o=0;o<r.length;o++)for(var s=0;s<e.length;s++)i.push([n[a],r[o],e[s]]);return i}(t.meshgrid);var i=t.meshgrid,a=t.vectors,o={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vertexNormals:[],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]),o;for(var s=0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=1/0,d=-1/0,g=null,v=null,m=[],y=1/0,x=0;x<r.length;x++){var b,_=r[x];c=Math.min(_[0],c),u=Math.max(_[0],u),h=Math.min(_[1],h),f=Math.max(_[1],f),p=Math.min(_[2],p),d=Math.max(_[2],d),b=i?l(_,a,i,!0):a[x],n.length(b)>s&&(s=n.length(b)),x&&(y=Math.min(y,2*n.distance(g,_)/(n.length(v)+n.length(b)))),g=_,v=b,m.push(b)}var w=[c,h,p],k=[u,f,d];e&&(e[0]=w,e[1]=k),0===s&&(s=1);var T=1/s;isFinite(y)&&!isNaN(y)||(y=1),o.vectorScale=y;var A=function(t,e,r){var i=n.create();return void 0!==t&&n.set(i,t,e,r),i}(0,1,0),M=t.coneSize||.5;t.absoluteConeSize&&(M=t.absoluteConeSize*T),o.coneScale=M;x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],P=m[x],O=n.length(P)*T,z=0;z<8;z++){o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.positions.push([E,C,L,S++]),o.vectors.push(P),o.vectors.push(P),o.vectors.push(P),o.vectors.push(P),o.vectors.push(P),o.vectors.push(P),o.vertexIntensity.push(O,O,O),o.vertexIntensity.push(O,O,O),o.vertexNormals.push(A,A,A),o.vertexNormals.push(A,A,A);var I=o.positions.length;o.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return o},e.exports.createConeMesh=t("./lib/conemesh")},{"./lib/conemesh":243,"gl-vec3":346}],243:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),h=t("colormap"),f=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./shaders"),g=d.meshShader,v=d.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,y,x,b,_,w,k,T){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.triangleNormals=c,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.lineWidth=1,this.edgePositions=h,this.edgeColors=p,this.edgeUVs=d,this.edgeIds=f,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=x,this.pointUVs=b,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=k,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!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.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1]}var x=y.prototype;function b(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}x.isOpaque=function(){return this.opacity>=1},x.isTransparent=function(){return this.opacity<1},x.pickSlots=1,x.setPickBase=function(t){this.pickId=t},x.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],g=n[h][1],v=i[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},x.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),"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.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),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){for(var e=h({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[],w=[],k=[];this.cells=r,this.positions=n;var T=t.vertexNormals,A=t.cellNormals,M=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,S=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!A&&(A=s.faceNormals(r,n,S)),A||T||(T=s.vertexNormals(r,n,M));var E=t.vertexColors,C=t.cellColors,L=t.meshColor||[1,1,1,1],P=t.vertexUVs,O=t.vertexIntensity,z=t.cellUVs,I=t.cellIntensity,D=1/0,R=-1/0;if(!P&&!z)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],R=+t.vertexIntensityBounds[1];else for(var F=0;F<O.length;++F){var B=O[F];D=Math.min(D,B),R=Math.max(R,B)}else if(I)for(F=0;F<I.length;++F){B=I[F];D=Math.min(D,B),R=Math.max(R,B)}else for(F=0;F<n.length;++F){B=n[F][2];D=Math.min(D,B),R=Math.max(R,B)}this.intensity=O||(I?function(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;var a=t.length;for(i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}(r,n.length,I):function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n));var N=t.pointSizes,j=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(F=0;F<n.length;++F)for(var U=n[F],V=0;V<3;++V)!isNaN(U[V])&&isFinite(U[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var q=0,H=0,G=0;t:for(F=0;F<r.length;++F){var Y=r[F];switch(Y.length){case 1:for(U=n[X=Y[0]],V=0;V<3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;x.push(U[0],U[1],U[2],U[3]),3===(Z=E?E[X]:C?C[F]:L).length?b.push(Z[0],Z[1],Z[2],1):b.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],_.push(J[0],J[1]),N?w.push(N[X]):w.push(j),k.push(F),G+=1;break;case 2:for(V=0;V<2;++V){U=n[X=Y[V]];for(var W=0;W<3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V<2;++V){U=n[X=Y[V]];g.push(U[0],U[1],U[2]),3===(Z=E?E[X]:C?C[F]:L).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],m.push(J[0],J[1]),y.push(F)}H+=1;break;case 3:for(V=0;V<3;++V)for(U=n[X=Y[V]],W=0;W<3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V<3;++V){var X;U=n[X=Y[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,J,K,$=i[X];l.push($[0],$[1],$[2]),3===(Z=E?E[X]:C?C[F]:L).length?c.push(Z[0],Z[1],Z[2],1):c.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],p.push(J[0],J[1]),K=T?T[X]:A[F],f.push(K[0],K[1],K[2]),d.push(F)}q+=1}}this.pointCount=G,this.edgeCount=H,this.triangleCount=q,this.pointPositions.update(x),this.pointColors.update(b),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(k)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(c),this.triangleUVs.update(p),this.triangleNormals.update(f),this.triangleIds.update(new Uint32Array(d))}},x.drawTransparent=x.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,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:m.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,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var f=u[12+o],p=0;p<3;++p)f+=u[4*p+o]*this.lightPosition[p];s.lightPosition[o]=f/h}if(this.triangleCount>0){var d=this.triShader;d.bind(),d.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},x.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,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,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()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},x.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);return{index:Math.floor(r[1]/48),position:n,dataCoordinate:n}},x.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.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()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=b(t),l=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var c=i(t),h=i(t),f=i(t),p=i(t),d=i(t),v=i(t),m=a(t,[{buffer:c,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:f,type:t.FLOAT,size:4},{buffer:p,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:3},{buffer:h,type:t.FLOAT,size:3}]),x=i(t),_=i(t),w=i(t),k=i(t),T=a(t,[{buffer:x,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),A=i(t),M=i(t),S=i(t),E=i(t),C=i(t),L=a(t,[{buffer:A,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:M,type:t.FLOAT,size:4},{buffer:S,type:t.FLOAT,size:2},{buffer:E,type:t.FLOAT,size:1}]),P=i(t),O=new y(t,l,r,s,c,h,v,f,p,d,m,x,k,_,w,T,A,C,M,S,E,L,P,a(t,[{buffer:P,type:t.FLOAT,size:3}]));return O.update(e),O}},{"./shaders":244,colormap:126,"gl-buffer":241,"gl-mat4/invert":265,"gl-mat4/multiply":267,"gl-shader":301,"gl-texture2d":322,"gl-vao":327,ndarray:450,normals:453,"simplicial-complex-contour":518,"typedarray-pool":545}],244:[function(t,e,r){var n=t("glslify"),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;\nuniform float vectorScale;\nuniform float coneScale;\n\nuniform float coneOffset;\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\n           , 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\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular\n            , opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data\n           , 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 vec3 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\n\nuniform float vectorScale;\nuniform float coneScale;\nuniform float 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), position.w, coneOffset, normal);\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n  gl_Position = projection * view * conePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:409}],245:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34000:"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"}},{}],246:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":245}],247:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var h=0;h<3;++h)e.lineWidth(this.lineWidth[h]*this.pixelRatio),r.capSize=this.capSize[h]*u,this.lineCount[h]&&e.drawArrays(e.LINES,this.lineOffset[h],this.lineCount[h]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function h(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],f=0;f<3;++f)if(isNaN(u[f])||!isFinite(u[f]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var g;if(p[0][s]<0)(g=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(i,g,d,s);if(p[1][s]>0)(g=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+h(i,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":248,"gl-buffer":241,"gl-vao":327}],248:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":301,glslify:409}],249:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.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");!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(var 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]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var h=1;if("color"in(n=n||{})){if((h=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(h>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(h>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+h+" draw buffers")}}var f=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&h>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");f=t.FLOAT}else n.preferFloat&&h>0&&p&&(f=t.FLOAT);var g=!0;"depth"in n&&(g=!!n.depth);var v=!1;"stencil"in n&&(v=!!n.stencil);return new d(t,e,r,f,h,g,v,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function h(t){switch(t){case 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 g=this,v=[0|e,0|r];Object.defineProperties(v,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=v,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,g=t._useDepth,v=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var m=0;m<o;++m)t.color[m]=f(r,i,a,v,r.RGBA,r.COLOR_ATTACHMENT0+m);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 y=r.getExtension("WEBGL_depth_texture");y?d?t.depth=f(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?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),m=0;m<t.color.length;++m)t.color[m].dispose(),t.color[m]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var g=d.prototype;function v(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(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error("gl-fbo: Shape vector must be length 2");var e=0|t[0],r=0|t[1];return v(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return v(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,v(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{"gl-texture2d":322}],250:[function(t,e,r){var n=t("sprintf-js").sprintf,i=t("gl-constants/lookup"),a=t("glsl-shader-name"),o=t("add-line-numbers");e.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 g=parseInt(d.split(":")[2]);if(isNaN(g))throw new Error(n("Could not parse error: %s",d));f[g]=d}}for(var v=o(e).split("\n"),p=0;p<v.length;p++)if(f[p+3]||f[p+2]||f[p+1]){var m=v[p];if(c+=m+"\n",f[p+1]){var y=f[p+1];y=y.substr(y.split(":",3).join(":").length+1).trim(),c+=n("^^^ %s\n\n",y)}}return{long:c.trim(),short:u.trim()}}},{"add-line-numbers":61,"gl-constants/lookup":246,"glsl-shader-name":401,"sprintf-js":528}],251:[function(t,e,r){"use strict";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),h=s(r),f=s(r),p=new c(t,n,i,a,u,h,f);return p.update(e),t.addObject(p),p};var n=t("binary-search-bounds"),i=t("iota-array"),a=t("typedarray-pool"),o=t("gl-shader"),s=t("gl-buffer"),l=t("./lib/shaders");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 g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,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]);this.xData=r,this.yData=o;var l=t.colorLevels||[0],c=t.colorValues||[0,0,0,1],u=l.length,h=this.bounds,p=h[0]=r[0],d=h[1]=o[0],g=1/((h[2]=r[r.length-1])-p),v=1/((h[3]=o[o.length-1])-d),m=e[0],y=e[1];this.shape=[m,y];var x=(m-1)*(y-1)*(f.length>>>1);this.numVertices=x;for(var b=a.mallocUint8(4*x),_=a.mallocFloat32(2*x),w=a.mallocUint8(2*x),k=a.mallocUint32(x),T=0,A=0;A<y-1;++A)for(var M=v*(o[A]-d),S=v*(o[A+1]-d),E=0;E<m-1;++E)for(var C=g*(r[E]-p),L=g*(r[E+1]-p),P=0;P<f.length;P+=2){var O,z,I,D,R=f[P],F=f[P+1],B=s[(A+F)*m+(E+R)],N=n.le(l,B);if(N<0)O=c[0],z=c[1],I=c[2],D=c[3];else if(N===u-1)O=c[4*u-4],z=c[4*u-3],I=c[4*u-2],D=c[4*u-1];else{var j=(B-l[N])/(l[N+1]-l[N]),U=1-j,V=4*N,q=4*(N+1);O=U*c[V]+j*c[q],z=U*c[V+1]+j*c[q+1],I=U*c[V+2]+j*c[q+2],D=U*c[V+3]+j*c[q+3]}b[4*T]=255*O,b[4*T+1]=255*z,b[4*T+2]=255*I,b[4*T+3]=255*D,_[2*T]=.5*C+.5*L,_[2*T+1]=.5*M+.5*S,w[2*T]=R,w[2*T+1]=F,k[T]=A*m+E,T+=1}this.positionBuffer.update(_),this.weightBuffer.update(w),this.colorBuffer.update(b),this.idBuffer.update(k),a.free(_),a.free(b),a.free(w),a.free(k)},h.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{"./lib/shaders":252,"binary-search-bounds":253,"gl-buffer":241,"gl-shader":301,"iota-array":416,"typedarray-pool":545}],252:[function(t,e,r){"use strict";var n=t("glslify");e.exports={fragment:n(["precision lowp float;\n#define GLSLIFY 1\nvarying vec4 fragColor;\nvoid main() {\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\n}\n"]),vertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 color;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  fragColor = color;\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"]),pickFragment:n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nuniform vec2 shape;\nuniform vec4 pickOffset;\n\nvoid main() {\n  vec2 d = step(.5, vWeight);\n  vec4 id = fragId + pickOffset;\n  id.x += d.x + d.y*shape.x;\n\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  gl_FragColor = id/255.;\n}\n"]),pickVertex:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\nattribute vec2 weight;\n\nuniform vec2 shape;\nuniform mat3 viewTransform;\n\nvarying vec4 fragId;\nvarying vec2 vWeight;\n\nvoid main() {\n  vWeight = weight;\n\n  fragId = pickId;\n\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\n}\n"])}},{glslify:409}],253:[function(t,e,r){arguments[4][111][0].apply(r,arguments)},{dup:111}],254:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),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\nlowp vec4 encode_float_1540259130(highp float v) {\n  highp 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  highp vec4 c = vec4(0,0,0,0);\n\n  //Compute exponent and mantissa\n  highp float e = floor(log2(av));\n  highp 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  highp 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, encode_float_1540259130(pixelArcLength).xyz);\n}"]),l=[{name:"position",type:"vec3"},{name:"nextPosition",type:"vec3"},{name:"arcLength",type:"float"},{name:"lineWidth",type:"float"},{name:"color",type:"vec4"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{"gl-shader":301,glslify:409}],255:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=u(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),c=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}]),f=l(new Array(1024),[256,1,4]),p=0;p<1024;++p)f.data[p]=255;var d=a(e,f);d.wrap=e.REPEAT;var g=new v(e,r,o,s,c,d);return g.update(t),g};var n=t("gl-buffer"),i=t("gl-vao"),a=t("gl-texture2d"),o=t("glsl-read-float"),s=t("binary-search-bounds"),l=t("ndarray"),c=t("./lib/shaders"),u=c.createShader,h=c.createPickShader,f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function p(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 d(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 v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=v.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,clipBounds:d(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||f,view:t.view||f,projection:t.projection||f,pickId:this.pickId,clipBounds:d(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;"dashScale"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],c=0,u=0,h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],f=t.position||t.positions;if(f){var d=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,v=!1;t:for(e=1;e<f.length;++e){var m,y,x,b=f[e-1],_=f[e];for(a.push(c),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,v=!0}continue t}h[0][r]=Math.min(h[0][r],b[r],_[r]),h[1][r]=Math.max(h[1][r],b[r],_[r])}Array.isArray(d[0])?(m=d.length>e-1?d[e-1]:d.length>0?d[d.length-1]:[0,0,0,1],y=d.length>e?d[e]:d.length>0?d[d.length-1]:[0,0,0,1]):m=y=d,3===m.length&&(m=[m[0],m[1],m[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&m[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var k=c;if(c+=p(b,_),v){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3]);u+=2,v=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],k,x,m[0],m[1],m[2],m[3],b[0],b[1],b[2],_[0],_[1],_[2],k,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],c,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],c,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(c),o.push(f[f.length-1].slice()),this.bounds=h,this.vertexCount=u,this.points=o,this.arcLength=a,"dashes"in t){var T=t.dashes.slice();for(T.unshift(0),e=1;e<T.length;++e)T[e]=T[e-1]+T[e];var A=l(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&s.le(T,T[T.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},m.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=o(t.value[0],t.value[1],t.value[2],0),r=s.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new g(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),l=1-a,c=[0,0,0],u=0;u<3;++u)c[u]=l*n[u]+a*i[u];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new g(e,c,h,this.points[h])}},{"./lib/shaders":254,"binary-search-bounds":256,"gl-buffer":241,"gl-texture2d":322,"gl-vao":327,"glsl-read-float":400,ndarray:450}],256:[function(t,e,r){arguments[4][111][0].apply(r,arguments)},{dup:111}],257:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r*a-i*n;return o?(o=1/o,t[0]=a*o,t[1]=-n*o,t[2]=-i*o,t[3]=r*o,t):null}},{}],258:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=u*o-s*c,f=-u*a+s*l,p=c*a-o*l,d=r*h+n*f+i*p;return d?(d=1/d,t[0]=h*d,t[1]=(-u*n+i*c)*d,t[2]=(s*n-i*o)*d,t[3]=f*d,t[4]=(u*r-i*l)*d,t[5]=(-s*r+i*a)*d,t[6]=p*d,t[7]=(-c*r+n*l)*d,t[8]=(o*r-n*a)*d,t):null}},{}],259:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],260:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],261:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],h=t[10],f=t[11],p=t[12],d=t[13],g=t[14],v=t[15];return(e*o-r*a)*(h*v-f*g)-(e*s-n*a)*(u*v-f*d)+(e*l-i*a)*(u*g-h*d)+(r*s-n*o)*(c*v-f*p)-(r*l-i*o)*(c*g-h*p)+(n*l-i*s)*(c*d-u*p)}},{}],262:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,h=n*s,f=i*o,p=i*s,d=i*l,g=a*o,v=a*s,m=a*l;return t[0]=1-h-d,t[1]=u+m,t[2]=f-v,t[3]=0,t[4]=u-m,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=f+v,t[9]=p-g,t[10]=1-c-h,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],263:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,h=n*l,f=n*c,p=i*l,d=i*c,g=a*c,v=o*s,m=o*l,y=o*c;return t[0]=1-(p+g),t[1]=h+y,t[2]=f-m,t[3]=0,t[4]=h-y,t[5]=1-(u+g),t[6]=d+v,t[7]=0,t[8]=f+m,t[9]=d-v,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],264:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],265:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],h=e[9],f=e[10],p=e[11],d=e[12],g=e[13],v=e[14],m=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,k=i*c-a*l,T=u*g-h*d,A=u*v-f*d,M=u*m-p*d,S=h*v-f*g,E=h*m-p*g,C=f*m-p*v,L=y*C-x*E+b*S+_*M-w*A+k*T;if(!L)return null;return L=1/L,t[0]=(s*C-l*E+c*S)*L,t[1]=(i*E-n*C-a*S)*L,t[2]=(g*k-v*w+m*_)*L,t[3]=(f*w-h*k-p*_)*L,t[4]=(l*M-o*C-c*A)*L,t[5]=(r*C-i*M+a*A)*L,t[6]=(v*b-d*k-m*x)*L,t[7]=(u*k-f*b+p*x)*L,t[8]=(o*E-s*M+c*T)*L,t[9]=(n*M-r*E-a*T)*L,t[10]=(d*w-g*b+m*y)*L,t[11]=(h*b-u*w-p*y)*L,t[12]=(s*A-o*S-l*T)*L,t[13]=(r*S-n*A+i*T)*L,t[14]=(g*x-d*_-v*y)*L,t[15]=(u*_-h*x+f*y)*L,t}},{}],266:[function(t,e,r){var n=t("./identity");e.exports=function(t,e,r,i){var a,o,s,l,c,u,h,f,p,d,g=e[0],v=e[1],m=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],k=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(v-w)<1e-6&&Math.abs(m-k)<1e-6)return n(t);h=g-_,f=v-w,p=m-k,d=1/Math.sqrt(h*h+f*f+p*p),a=x*(p*=d)-b*(f*=d),o=b*(h*=d)-y*p,s=y*f-x*h,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=f*s-p*o,c=p*a-h*s,u=h*o-f*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=h,t[3]=0,t[4]=o,t[5]=c,t[6]=f,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*v+s*m),t[13]=-(l*g+c*v+u*m),t[14]=-(h*g+f*v+p*m),t[15]=1,t}},{"./identity":264}],267:[function(t,e,r){e.exports=function(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],g=e[12],v=e[13],m=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*h+w*g,t[1]=x*i+b*l+_*f+w*v,t[2]=x*a+b*c+_*p+w*m,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*h+w*g,t[5]=x*i+b*l+_*f+w*v,t[6]=x*a+b*c+_*p+w*m,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*h+w*g,t[9]=x*i+b*l+_*f+w*v,t[10]=x*a+b*c+_*p+w*m,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*h+w*g,t[13]=x*i+b*l+_*f+w*v,t[14]=x*a+b*c+_*p+w*m,t[15]=x*o+b*u+_*d+w*y,t}},{}],268:[function(t,e,r){e.exports=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}},{}],269:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],270:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,w,k,T,A,M,S,E=n[0],C=n[1],L=n[2],P=Math.sqrt(E*E+C*C+L*L);if(Math.abs(P)<1e-6)return null;E*=P=1/P,C*=P,L*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],h=e[4],f=e[5],p=e[6],d=e[7],g=e[8],v=e[9],m=e[10],y=e[11],x=E*E*o+a,b=C*E*o+L*i,_=L*E*o-C*i,w=E*C*o-L*i,k=C*C*o+a,T=L*C*o+E*i,A=E*L*o+C*i,M=C*L*o-E*i,S=L*L*o+a,t[0]=s*x+h*b+g*_,t[1]=l*x+f*b+v*_,t[2]=c*x+p*b+m*_,t[3]=u*x+d*b+y*_,t[4]=s*w+h*k+g*T,t[5]=l*w+f*k+v*T,t[6]=c*w+p*k+m*T,t[7]=u*w+d*k+y*T,t[8]=s*A+h*M+g*S,t[9]=l*A+f*M+v*S,t[10]=c*A+p*M+m*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],271:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+h*n,t[7]=l*i+f*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=h*i-s*n,t[11]=f*i-l*n,t}},{}],272:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],h=e[10],f=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-h*n,t[3]=l*i-f*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+h*i,t[11]=l*n+f*i,t}},{}],273:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],h=e[6],f=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+h*n,t[3]=l*i+f*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=h*i-s*n,t[7]=f*i-l*n,t}},{}],274:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],275:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,h,f,p,d,g=r[0],v=r[1],m=r[2];e===t?(t[12]=e[0]*g+e[4]*v+e[8]*m+e[12],t[13]=e[1]*g+e[5]*v+e[9]*m+e[13],t[14]=e[2]*g+e[6]*v+e[10]*m+e[14],t[15]=e[3]*g+e[7]*v+e[11]*m+e[15]):(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],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=h,t[9]=f,t[10]=p,t[11]=d,t[12]=n*g+s*v+h*m+e[12],t[13]=i*g+l*v+f*m+e[13],t[14]=a*g+c*v+p*m+e[14],t[15]=o*g+u*v+d*m+e[15]);return t}},{}],276:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],277:[function(t,e,r){"use strict";e.exports=function(t,e){switch(e.length){case 0:break;case 1:t[0]=1/e[0];break;case 4:n(t,e);break;case 9:i(t,e);break;case 16:a(t,e);break;default:throw new Error("currently supports matrices up to 4x4")}return t};var n=t("gl-mat2/invert"),i=t("gl-mat3/invert"),a=t("gl-mat4/invert")},{"gl-mat2/invert":257,"gl-mat3/invert":258,"gl-mat4/invert":265}],278:[function(t,e,r){"use strict";var n=t("barycentric"),i=t("polytope-closest-point/lib/closest_point_2d.js");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}e.exports=function(t,e,r,a,s,l){if(1===t.length)return[0,t[0].slice()];for(var c=new Array(t.length),u=0;u<t.length;++u)c[u]=o(t[u],r,a,s,l);for(var h=0,f=1/0,u=0;u<c.length;++u){for(var p=0,d=0;d<2;++d)p+=Math.pow(c[u][d]-e[d],2);p<f&&(f=p,h=u)}for(var g=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),v=0,u=0;u<3;++u){if(g[u]<-.001||g[u]>1.0001)return null;v+=g[u]}if(Math.abs(v-1)>.001)return null;return[h,function(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}(t,g),g]}},{barycentric:73,"polytope-closest-point/lib/closest_point_2d.js":481}],279:[function(t,e,r){var n=t("glslify"),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"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec3"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"pointSize",type:"float"}]},r.pickShader={vertex:u,fragment:h,attributes:[{name:"position",type:"vec3"},{name:"id",type:"vec4"}]},r.pointPickShader={vertex:f,fragment:h,attributes:[{name:"position",type:"vec3"},{name:"pointSize",type:"float"},{name:"id",type:"vec4"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:"position",type:"vec3"}]}},{glslify:409}],280:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),h=t("colormap"),f=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./lib/shaders"),g=t("./lib/closest-point"),v=d.meshShader,m=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function k(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,m,y,x,b,_,k,T,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=v,this.edgeUVs=m,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=k,this.pointSizes=T,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.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 T=k.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,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}T.isOpaque=function(){return!this.hasAlpha},T.isTransparent=function(){return this.hasAlpha},T.pickSlots=1,T.setPickBase=function(t){this.pickId=t},T.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],g=n[h][1],v=i[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},T.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=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,k=t.cellNormals,T=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!k&&(k=s.faceNormals(r,n,M)),k||w||(w=s.vertexNormals(r,n,T));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,P=t.vertexIntensity,O=t.cellUVs,z=t.cellIntensity,I=1/0,D=-1/0;if(!L&&!O)if(P)if(t.vertexIntensityBounds)I=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];I=Math.min(I,F),D=Math.max(D,F)}else if(z)for(R=0;R<z.length;++R){F=z[R];I=Math.min(I,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];I=Math.min(I,F),D=Math.max(D,F)}this.intensity=P||(z?function(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;var a=t.length;for(i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}(r,n.length,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));var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;m.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-I)/(D-I),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),!this.hasAlpha&&X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-I)/(D-I),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),!this.hasAlpha&&X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],g.push(Z[0],Z[1]),v.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:C,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-I)/(D-I),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),!this.hasAlpha&&X[3]<1&&(this.hasAlpha=!0)),Z=L?L[W]:P?[(P[W]-I)/(D-I),0]:O?O[R]:z?[(z[R]-I)/(D-I),0]:[(j[2]-I)/(D-I),0],c.push(Z[0],Z[1]),J=w?w[W]:k[R],l.push(J[0],J[1],J[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(m),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(v)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},T.drawTransparent=T.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);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h,f=u[15];for(o=0;o<3;++o)f+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/f}this.triangleCount>0&&((h=this.triShader).bind(),h.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((h=this.lineShader).bind(),h.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((h=this.pointShader).bind(),h.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((h=this.contourShader).bind(),h.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},T.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())},T.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=g(i,[t.coord[0],this._resolution[1]-t.coord[1]],this._model,this._view,this._projection,this._resolution);if(!o)return null;var s=o[2],l=0;for(a=0;a<r.length;++a)l+=s[a]*this.intensity[r[a]];return{position:o[1],index:r[o[0]],cell:r,cellId:e,intensity:l,dataCoordinate:this.positions[r[o[0]]]}},T.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){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,v.vertex,v.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,m.vertex,m.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),g=i(t),y=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),T=i(t),A=i(t),L=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:T,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),z=i(t),I=i(t),D=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:I,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new k(t,p,r,s,l,c,h,f,d,b,g,y,x,_,w,L,T,A,P,O,R,z,I,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},{"./lib/closest-point":278,"./lib/shaders":279,colormap:126,"gl-buffer":241,"gl-mat4/invert":265,"gl-mat4/multiply":267,"gl-shader":301,"gl-texture2d":322,"gl-vao":327,ndarray:450,normals:453,"simplicial-complex-contour":518,"typedarray-pool":545}],281:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,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()}},{"./shaders":284,"gl-buffer":241,"gl-shader":301}],282:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("binary-search-bounds"),o=t("./shaders");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,h,f,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],h=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var v=a[g],m=a[g+2]-v,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*m/x,c[g]=2*(v-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){h[0]=h[1]=0,h[g]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=f[g];var _=6*n[g].length;p[g]&&_&&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,g=s.viewBox,v=s.pixelRatio,m=s.screenBox,y=m[2]-m[0],x=m[3]-m[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var k=p[w],T=p[w+2]-k,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*T/M,t[w]=2*(k-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,P=6*h[0].length,O=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),I=0+6*O,D=6*Math.max(0,z-O),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=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*v/y,o[1]=C[1]*v/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=C[0]*v/y,o[1]=E[0]*v/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,I,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*v/y,o[1]=C[3]*v/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=C[2]*v/y,o[1]=E[2]*v/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,I,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 g=0;g<6;++g)n[i++]=d,n[i++]=f[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{"./shaders":284,"binary-search-bounds":286,"gl-buffer":241,"gl-shader":301}],283:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("./shaders");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,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()}},{"./shaders":284,"gl-buffer":241,"gl-shader":301}],284:[function(t,e,r){"use strict";var n=t("glslify"),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"]);e.exports={lineVert:n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 coord;\n\nuniform vec4 screenBox;\nuniform vec2 start, end;\nuniform float width;\n\nvec2 perp(vec2 v) {\n  return vec2(v.y, -v.x);\n}\n\nvec2 screen(vec2 v) {\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\n}\n\nvoid main() {\n  vec2 delta = normalize(perp(start - end));\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\n}\n"]),lineFrag: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"])}},{glslify:409}],285:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t("gl-buffer"),i=t("gl-shader"),a=t("text-cache"),o=t("binary-search-bounds"),s=t("./shaders");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,h,f,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,v=e.tickColor,m=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],k=this.labelCount[t],T=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*g[t],T<A&&i[A]>i[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t],r.uniforms.angle=m[t],a.drawArrays(a.TRIANGLES,i[T],i[A]-i[T]))),y[t]&&k&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,k)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],T<A&&i[A]>i[T]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=v[t+2],r.uniforms.angle=m[t+2],a.drawArrays(a.TRIANGLES,i[T],i[A]-i[T]))),y[t+2]&&k&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,k))}),g.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)}}}(),g.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,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],g=a[o+2]-h,v=i[o],m=i[o+2]-v;p[o]=2*l/u*g/m,f[o]=2*(s-c)/u*g/m}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()}),g.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,g=p.text,v=p.font||"sans-serif";i=p.fontSize||12;for(var m=1/(c[o+2]-c[o]),y=c[o],x=g.split("\n"),b=0;b<x.length;b++)for(n=a(v,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*m);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],{textAlign:"center"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{"./shaders":284,"binary-search-bounds":286,"gl-buffer":241,"gl-shader":301,"text-cache":536}],286:[function(t,e,r){arguments[4][111][0].apply(r,arguments)},{dup:111}],287:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t("gl-select-static"),i=t("./lib/grid"),a=t("./lib/text"),o=t("./lib/line"),s=t("./lib/box");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function h(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,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 g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],f[d]):o.drawLine(e[0],g,e[2],g,p[d],f[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var v=this.borderLineEnable,m=this.borderLineWidth,y=this.borderLineColor;for(v[1]&&o.drawLine(r[0],r[1]-.5*m[1]*i,r[0],r[3]+.5*m[3]*i,m[1],y[1]),v[0]&&o.drawLine(r[0]-.5*m[0]*i,r[1],r[2]+.5*m[2]*i,r[1],m[0],y[0]),v[3]&&o.drawLine(r[2],r[1]-.5*m[1]*i,r[2],r[3]+.5*m[3]*i,m[3],y[3]),v[2]&&o.drawLine(r[0]-.5*m[0]*i,r[3],r[2]+.5*m[2]*i,r[3],m[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl;this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,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"],title:t.title||"",titleSize:t.titleSize||18,titleFont:t.titleFont||"sans-serif"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{"./lib/box":281,"./lib/grid":282,"./lib/line":283,"./lib/text":285,"gl-select-static":300}],288:[function(t,e,r){"use strict";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];"distanceLimits"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);"zoomMin"in e&&(r[0]=e.zoomMin);"zoomMax"in e&&(r[1]=e.zoomMax);var c=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,g=!!a.shift,v=!!(1&e),m=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,k=d.flipY?1:-1,T=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&v&&!f&&!p&&!g||v&&!f&&!p&&g)&&c.rotate(A,w*T*b,-k*T*_,0),(l&&v&&!f&&!p&&!g||m||v&&f&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*h,d.translateSpeed*_*h,0),u&&v&&!f&&!p&&!g||y||v&&!f&&p&&!g)){var M=-d.zoomSpeed*_/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),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener("touchmove",function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()},!!l&&{passive:!1}),t.addEventListener("touchend",function(t){e(0,d._lastX,d._lastY,d._lastMods),t.preventDefault()},!!l&&{passive:!1}),d.wheelListener=o(t,function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,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=t("right-now"),i=t("3d-view"),a=t("mouse-change"),o=t("mouse-wheel"),s=t("mouse-event-offset"),l=t("has-passive-events")},{"3d-view":52,"has-passive-events":411,"mouse-change":435,"mouse-event-offset":436,"mouse-wheel":438,"right-now":504}],289:[function(t,e,r){var n=t("glslify"),i=t("gl-shader"),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}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec2"}])}},{"gl-shader":301,glslify:409}],290:[function(t,e,r){"use strict";var n=t("./camera.js"),i=t("gl-axes3d"),a=t("gl-axes3d/properties"),o=t("gl-spikes3d"),s=t("gl-select-static"),l=t("gl-fbo"),c=t("a-big-triangle"),u=t("mouse-change"),h=t("mouse-wheel"),f=t("gl-mat4/perspective"),p=t("gl-mat4/ortho"),d=t("./lib/shader"),g=t("is-mobile")({tablet:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function y(t){return"boolean"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e)if(e=document.createElement("canvas"),t.container){var r=t.container;r.appendChild(e)}else document.body.appendChild(e);var x=t.gl;x||(x=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:g}));if(!x)throw new Error("webgl not supported");var b=t.bounds||[[-10,-10,-10],[10,10,10]],_=new v,w=l(x,[x.drawingBufferWidth,x.drawingBufferHeight],{preferFloat:!g}),k=d(x),T=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&"orthographic"===t.camera.projection.type||!1,A={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:T},M=t.axes||{},S=i(x,M);S.enable=!M.disable;var E=t.spikes||{},C=o(x,E),L=[],P=[],O=[],z=[],I=!0,D=!0,R=new Array(16),F=new Array(16),B={view:null,projection:R,model:F,_ortho:!1},D=!0,N=[x.drawingBufferWidth,x.drawingBufferHeight],j=t.cameraObject||n(e,A),U={gl:x,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:_,camera:j,axes:S,axesPixels:null,spikes:C,bounds:b,objects:L,shape:N,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:B,oncontextloss:null,mouseListener:null,_stopped:!1},V=[x.drawingBufferWidth/U.pixelRatio|0,x.drawingBufferHeight/U.pixelRatio|0];function q(){if(!U._stopped&&U.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*U.pixelRatio),a=0|Math.ceil(n*U.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",I=!0}}}U.autoResize&&q();function H(){for(var t=L.length,e=z.length,r=0;r<e;++r)O[r]=0;t:for(var r=0;r<t;++r){var n=L[r],i=n.pickSlots;if(i){for(var a=0;a<e;++a)if(O[a]+i<255){P[r]=a,n.setPickBase(O[a]+1),O[a]+=i;continue t}var o=s(x,N);P[r]=e,z.push(o),O.push(i),n.setPickBase(1),e+=1}else P[r]=-1}for(;e>0&&0===O[e-1];)O.pop(),z.pop().dispose()}function G(){if(U.contextLost)return!0;x.isContextLost()&&(U.contextLost=!0,U.mouseListener.enabled=!1,U.selection.object=null,U.oncontextloss&&U.oncontextloss())}window.addEventListener("resize",q),U.update=function(t){U._stopped||(t=t||{},I=!0,D=!0)},U.add=function(t){U._stopped||(t.axes=S,L.push(t),P.push(-1),I=!0,D=!0,H())},U.remove=function(t){if(!U._stopped){var e=L.indexOf(t);e<0||(L.splice(e,1),P.pop(),I=!0,D=!0,H())}},U.dispose=function(){if(!U._stopped&&(U._stopped=!0,window.removeEventListener("resize",q),e.removeEventListener("webglcontextlost",G),U.mouseListener.enabled=!1,!U.contextLost)){S.dispose(),C.dispose();for(var t=0;t<L.length;++t)L[t].dispose();w.dispose();for(var t=0;t<z.length;++t)z[t].dispose();k.dispose(),x=null,S=null,C=null,L=[]}},U.wheelListener=h(e,function(t,e){if(!1!==j.keyBindingMode&&j.enableWheel&&j._ortho){var r=t>e?1.1:1/1.1;U.aspect[0]*=r,U.aspect[1]*=r,U.aspect[2]*=r,U.redraw()}},!0),U._mouseRotating=!1,U._prevButtons=0,U.enableMouseListeners=function(){U.mouseListener=u(e,function(t,e,r){if(!U._stopped){var n=z.length,i=L.length,a=_.object;_.distance=1/0,_.mouse[0]=e,_.mouse[1]=r,_.object=null,_.screen=null,_.dataCoordinate=_.dataPosition=null;var o=!1;if(t&&U._prevButtons)U._mouseRotating=!0;else{U._mouseRotating&&(D=!0),U._mouseRotating=!1;for(var s=0;s<n;++s){var l=z[s].query(e,V[1]-r-1,U.pickRadius);if(l){if(l.distance>_.distance)continue;for(var c=0;c<i;++c){var u=L[c];if(P[c]===s){var h=u.pick(l);h&&(_.buttons=t,_.screen=l.coord,_.distance=l.distance,_.object=u,_.index=h.distance,_.dataPosition=h.position,_.dataCoordinate=h.dataCoordinate,_.data=h,o=!0)}}}}}a&&a!==_.object&&(a.highlight&&a.highlight(null),I=!0),_.object&&(_.object.highlight&&_.object.highlight(_.data),I=!0),(o=o||_.object!==a)&&U.onselect&&U.onselect(_),1&t&&!(1&U._prevButtons)&&U.onclick&&U.onclick(_),U._prevButtons=t}})},e.addEventListener("webglcontextlost",G);var Y=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],W=[Y[0].slice(),Y[1].slice()];function X(){if(!G()){q();var t=U.camera.tick();B.view=U.camera.matrix,I=I||t,D=D||t,S.pixelRatio=U.pixelRatio,C.pixelRatio=U.pixelRatio;var e=L.length,r=Y[0],n=Y[1];r[0]=r[1]=r[2]=1/0,n[0]=n[1]=n[2]=-1/0;for(var i=0;i<e;++i){var o=L[i];o.pixelRatio=U.pixelRatio,o.axes=U.axes,I=I||!!o.dirty,D=D||!!o.dirty;var s=o.bounds;if(s)for(var l=s[0],u=s[1],h=0;h<3;++h)r[h]=Math.min(r[h],l[h]),n[h]=Math.max(n[h],u[h])}var d=U.bounds;if(U.autoBounds)for(var h=0;h<3;++h){if(n[h]<r[h])r[h]=-1,n[h]=1;else{r[h]===n[h]&&(r[h]-=1,n[h]+=1);var g=.05*(n[h]-r[h]);r[h]=r[h]-g,n[h]=n[h]+g}d[0][h]=r[h],d[1][h]=n[h]}for(var v=!1,h=0;h<3;++h)v=v||W[0][h]!==d[0][h]||W[1][h]!==d[1][h],W[0][h]=d[0][h],W[1][h]=d[1][h];if(D=D||v,I=I||v){if(v){for(var y=[0,0,0],i=0;i<3;++i)y[i]=m((d[1][i]-d[0][i])/10);S.autoTicks?S.update({bounds:d,tickSpacing:y}):S.update({bounds:d})}var b=x.drawingBufferWidth,A=x.drawingBufferHeight;N[0]=b,N[1]=A,V[0]=0|Math.max(b/U.pixelRatio,1),V[1]=0|Math.max(A/U.pixelRatio,1),T?(p(R,-b/A,b/A,-1,1,U.zNear,U.zFar),B._ortho=!0):(f(R,U.fovy,b/A,U.zNear,U.zFar),B._ortho=!1);for(var i=0;i<16;++i)F[i]=0;F[15]=1;for(var M=0,i=0;i<3;++i)M=Math.max(M,d[1][i]-d[0][i]);for(var i=0;i<3;++i)U.autoScale?F[5*i]=U.aspect[i]/(d[1][i]-d[0][i]):F[5*i]=1/M,U.autoCenter&&(F[12+i]=.5*-F[5*i]*(d[0][i]+d[1][i]));for(var i=0;i<e;++i){var o=L[i];o.axesBounds=d,U.clipToBounds&&(o.clipBounds=d)}_.object&&(U.snapToData?C.position=_.dataCoordinate:C.position=_.dataPosition,C.bounds=d),D&&(D=!1,function(){if(G())return;x.colorMask(!0,!0,!0,!0),x.depthMask(!0),x.disable(x.BLEND),x.enable(x.DEPTH_TEST);for(var t=L.length,e=z.length,r=0;r<e;++r){var n=z[r];n.shape=V,n.begin();for(var i=0;i<t;++i)if(P[i]===r){var a=L[i];a.drawPick&&(a.pixelRatio=1,a.drawPick(B))}n.end()}}()),U.axesPixels=a(U.axes,B,b,A),U.onrender&&U.onrender(),x.bindFramebuffer(x.FRAMEBUFFER,null),x.viewport(0,0,b,A);var E=U.clearColor;x.clearColor(E[0],E[1],E[2],E[3]),x.clear(x.COLOR_BUFFER_BIT|x.DEPTH_BUFFER_BIT),x.depthMask(!0),x.colorMask(!0,!0,!0,!0),x.enable(x.DEPTH_TEST),x.depthFunc(x.LEQUAL),x.disable(x.BLEND),x.disable(x.CULL_FACE);var O=!1;S.enable&&(O=O||S.isTransparent(),S.draw(B)),C.axes=S,_.object&&C.draw(B),x.disable(x.CULL_FACE);for(var i=0;i<e;++i){var o=L[i];o.axes=S,o.pixelRatio=U.pixelRatio,o.isOpaque&&o.isOpaque()&&o.draw(B),o.isTransparent&&o.isTransparent()&&(O=!0)}if(O){w.shape=N,w.bind(),x.clear(x.DEPTH_BUFFER_BIT),x.colorMask(!1,!1,!1,!1),x.depthMask(!0),x.depthFunc(x.LESS),S.enable&&S.isTransparent()&&S.drawTransparent(B);for(var i=0;i<e;++i){var o=L[i];o.isOpaque&&o.isOpaque()&&o.draw(B)}x.enable(x.BLEND),x.blendEquation(x.FUNC_ADD),x.blendFunc(x.ONE,x.ONE_MINUS_SRC_ALPHA),x.colorMask(!0,!0,!0,!0),x.depthMask(!1),x.clearColor(0,0,0,0),x.clear(x.COLOR_BUFFER_BIT),S.isTransparent()&&S.drawTransparent(B);for(var i=0;i<e;++i){var o=L[i];o.isTransparent&&o.isTransparent()&&o.drawTransparent(B)}x.bindFramebuffer(x.FRAMEBUFFER,null),x.blendFunc(x.ONE,x.ONE_MINUS_SRC_ALPHA),x.disable(x.DEPTH_TEST),k.bind(),w.color[0].bind(0),k.uniforms.accumBuffer=0,c(x),x.disable(x.BLEND)}I=!1;for(var i=0;i<e;++i)L[i].dirty=!1}}}return U.enableMouseListeners(),function t(){U._stopped||U.contextLost||(X(),requestAnimationFrame(t))}(),U.redraw=function(){U._stopped||(I=!0,X())},U},createCamera:n}},{"./camera.js":288,"./lib/shader":289,"a-big-triangle":59,"gl-axes3d":233,"gl-axes3d/properties":240,"gl-fbo":249,"gl-mat4/ortho":268,"gl-mat4/perspective":269,"gl-select-static":300,"gl-spikes3d":310,"is-mobile":420,"mouse-change":435,"mouse-wheel":438}],291:[function(t,e,r){var n=t("glslify");r.pointVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform float pointCloud;\n\nhighp float rand(vec2 co) {\n  highp float a = 12.9898;\n  highp float b = 78.233;\n  highp float c = 43758.5453;\n  highp float d = dot(co.xy, vec2(a, b));\n  highp float e = mod(d, 3.14);\n  return fract(sin(e) * c);\n}\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n    // if we don't jitter the point size a bit, overall point cloud\n    // saturation 'jumps' on zooming, which is disturbing and confusing\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    // get the same square surface as circle would be\n    gl_PointSize *= 0.886;\n  }\n}"]),r.pointFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color, borderColor;\nuniform float centerFraction;\nuniform float pointCloud;\n\nvoid main() {\n  float radius;\n  vec4 baseColor;\n  if(pointCloud != 0.0) { // pointCloud is truthy\n    if(centerFraction == 1.0) {\n      gl_FragColor = color;\n    } else {\n      gl_FragColor = mix(borderColor, color, centerFraction);\n    }\n  } else {\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\n    if(radius > 1.0) {\n      discard;\n    }\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\n  }\n}\n"]),r.pickVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 position;\nattribute vec4 pickId;\n\nuniform mat3 matrix;\nuniform float pointSize;\nuniform vec4 pickOffset;\n\nvarying vec4 fragId;\n\nvoid main() {\n  vec3 hgPosition = matrix * vec3(position, 1);\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\n  gl_PointSize = pointSize;\n\n  vec4 id = pickId + pickOffset;\n  id.y += floor(id.x / 256.0);\n  id.x -= floor(id.x / 256.0) * 256.0;\n\n  id.z += floor(id.y / 256.0);\n  id.y -= floor(id.y / 256.0) * 256.0;\n\n  id.w += floor(id.z / 256.0);\n  id.z -= floor(id.z / 256.0) * 256.0;\n\n  fragId = id;\n}\n"]),r.pickFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragId;\n\nvoid main() {\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\n  if(radius > 1.0) {\n    discard;\n  }\n  gl_FragColor = fragId / 255.0;\n}\n"])},{glslify:409}],292:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("typedarray-pool"),o=t("./lib/shader");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}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),h=new s(t,a,l,c,u);return h.update(e),t.addObject(h),h};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r("sizeMin",.5),this.sizeMax=r("sizeMax",20),this.color=r("color",[1,0,0,1]).slice(),this.areaRatio=r("areaRatio",1),this.borderColor=r("borderColor",[0,0,0,1]).slice(),this.blend=r("blend",!1);var n=t.positions.length>>>1,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]]}}},{"./lib/shader":291,"gl-buffer":241,"gl-shader":301,"typedarray-pool":545}],293:[function(t,e,r){e.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],g=r[2],v=r[3];(a=c*p+u*d+h*g+f*v)<0&&(a=-a,p=-p,d=-d,g=-g,v=-v);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);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*g,t[3]=s*f+l*v,t}},{}],294:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],295:[function(t,e,r){"use strict";var n=t("vectorize-text");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:"center",textBaseline:"middle",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],f=u.positions.length;for(l=0;l<f;++l){var p=u.positions[l];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],p[c]),h[1][c]=Math.max(h[1][c],p[c])}return a[t]=[s,u,h]};var i={}},{"vectorize-text":550}],296:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),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},g={vertex:o,fragment:c,attributes:u},v={vertex:s,fragment:c,attributes:u};function m(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}r.createPerspective=function(t){return m(t,h)},r.createOrtho=function(t){return m(t,f)},r.createProject=function(t){return m(t,p)},r.createPickPerspective=function(t){return m(t,d)},r.createPickOrtho=function(t){return m(t,g)},r.createPickProject=function(t){return m(t,v)}},{"gl-shader":301,glslify:409}],297:[function(t,e,r){"use strict";var n=t("is-string-blank"),i=t("gl-buffer"),a=t("gl-vao"),o=t("typedarray-pool"),s=t("gl-mat4/multiply"),l=t("./lib/shaders"),c=t("./lib/glyphs"),u=t("./lib/get-simple-string"),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return f(n,n),f(n,n),f(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t?1:t>1?1:t}function v(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 d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),h=i(e),f=i(e),p=i(e),d=i(e),g=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}]),m=new v(e,r,n,o,h,f,p,d,g,s,c,u);return m.update(t),m};var m=v.prototype;m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},m.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],k=h.slice(),T=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function C(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,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var v=0;v<3;++v)if(a[v]){l.scale=e.projectScale[v],l.opacity=e.projectOpacity[v];for(var m=k,C=0;C<16;++C)m[C]=0;for(C=0;C<4;++C)m[5*C]=1;m[5*v]=0,i[v]<0?m[12+v]=d[0][v]:m[12+v]=d[1][v],s(m,c,m),l.model=m;var L=(v+1)%3,P=(v+2)%3,O=M(x),z=M(b);O[L]=1,z[P]=1;var I=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,z));if(Math.abs(I[1])>Math.abs(D[1])){var R=I;I=D,D=R,R=O,O=z,z=R;var F=L;L=P,P=F}I[0]<0&&(O[L]=-1),D[1]>0&&(z[P]=-1);var B=0,N=0;for(C=0;C<4;++C)B+=Math.pow(c[4*L+C],2),N+=Math.pow(c[4*P+C],2);O[L]/=Math.sqrt(B),z[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=z,l.fragClipBounds[0]=E(T,g[0],v,-1e8),l.fragClipBounds[1]=E(T,g[1],v,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&C(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||h,l.view=n.view||h,l.projection=n.projection||h,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=L,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a="\u25bc",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}m.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},m.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},m.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},m.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},m.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},m.update=function(t){if("perspective"in(t=t||{})&&(this.useOrtho=!t.perspective),"orthographic"in t&&(this.useOrtho=!!t.orthographic),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"project"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if("projectScale"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,"projectOpacity"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,"opacity"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||"normal",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],h=[-1/0,-1/0,-1/0],f=t.glyph,p=t.color,d=t.size,v=t.angle,m=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],k=0;k<3;++k)if(isNaN(w[k])||!isFinite(w[k]))continue t;var T=(N=O(f,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*T.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),C=o.mallocFloat(4*S),L=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var z=0,I=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(m)&&Array.isArray(m[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],k=0;k<3;++k){if(isNaN(w[k])||!isFinite(w[k]))continue t;h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k])}T=(N=O(f,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(k=0;k<3;++k)D[k]=U[k];D[3]=1}else if(4===U.length){for(k=0;k<4;++k)D[k]=U[k];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(m)){var U;if(3===(U=B?n<m.length?m[n]:[0,0,0,0]:m).length){for(k=0;k<3;++k)R[k]=U[k];R[k]=1}else if(4===U.length){for(k=0;k<4;++k)R[k]=U[k];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(v)?q=n<v.length?+v[n]:0:v&&(q=+v);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],k=0;k<3;++k)h[k]=Math.max(h[k],w[k]),u[k]=Math.min(u[k],w[k]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=T.cells||[],J=T.positions||[];for(k=0;k<Z.length;++k)for(var K=Z[k],$=0;$<3;++$){for(var Q=0;Q<3;++Q)E[3*z+Q]=w[Q];for(Q=0;Q<4;++Q)C[4*z+Q]=D[Q];P[z]=y;var tt=J[K[$]];L[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}for(Z=A.edges,J=A.positions,k=0;k<Z.length;++k)for(K=Z[k],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*I+Q]=w[Q];for(Q=0;Q<4;++Q)C[4*I+Q]=R[Q];P[I]=y;tt=J[K[$]];L[2*I]=V*(H*tt[0]-G*tt[1]+X[0]),L[2*I+1]=V*(G*tt[0]+H*tt[1]+X[1]),I+=1}}}this.bounds=[u,h],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(C),this.glyphBuffer.update(L),this.idBuffer.update(P),o.free(E),o.free(C),o.free(L),o.free(P)},m.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{"./lib/get-simple-string":294,"./lib/glyphs":295,"./lib/shaders":296,"gl-buffer":241,"gl-mat4/multiply":267,"gl-vao":327,"is-string-blank":423,"typedarray-pool":545}],298:[function(t,e,r){"use strict";var n=t("glslify");r.boxVertex=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec2 vertex;\n\nuniform vec2 cornerA, cornerB;\n\nvoid main() {\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\n}\n"]),r.boxFragment=n(["precision mediump float;\n#define GLSLIFY 1\n\nuniform vec4 color;\n\nvoid main() {\n  gl_FragColor = color;\n}\n"])},{glslify:409}],299:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("./lib/shaders");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,h=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],f=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(h=Math.max(h,c[0]),f=Math.max(f,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<h||d<f)){o.bind();var g=s[2]-s[0],v=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,f,i),o.drawBox(0,f,h,d,i),o.drawBox(0,d,g,v,i),o.drawBox(p,f,g,d,i)),this.innerFill&&o.drawBox(h,f,p,d,n),r>0){var m=r*u;o.drawBox(h-m,f-m,p+m,f+m,a),o.drawBox(h-m,d-m,p+m,d+m,a),o.drawBox(h-m,f-m,h+m,d+m,a),o.drawBox(p-m,f-m,p+m,d+m,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{"./lib/shaders":298,"gl-buffer":241,"gl-shader":301}],300:[function(t,e,r){"use strict";e.exports=function(t,e){var r=n(t,e),a=i.mallocUint8(e[0]*e[1]*4);return new c(t,r,a)};var n=t("gl-fbo"),i=t("typedarray-pool"),a=t("ndarray"),o=t("bit-twiddle").nextPow2,s=t("cwise/lib/wrapper")({args:["array",{offset:[0,0,1],array:0},{offset:[0,0,2],array:0},{offset:[0,0,3],array:0},"scalar","scalar","index"],pre:{body:"{this_closestD2=1e8,this_closestX=-1,this_closestY=-1}",args:[],thisVars:["this_closestD2","this_closestX","this_closestY"],localVars:[]},body:{body:"{if(_inline_16_arg0_<255||_inline_16_arg1_<255||_inline_16_arg2_<255||_inline_16_arg3_<255){var _inline_16_l=_inline_16_arg4_-_inline_16_arg6_[0],_inline_16_a=_inline_16_arg5_-_inline_16_arg6_[1],_inline_16_f=_inline_16_l*_inline_16_l+_inline_16_a*_inline_16_a;_inline_16_f<this_closestD2&&(this_closestD2=_inline_16_f,this_closestX=_inline_16_arg6_[0],this_closestY=_inline_16_arg6_[1])}}",args:[{name:"_inline_16_arg0_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg1_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg2_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg3_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg4_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg5_",lvalue:!1,rvalue:!0,count:1},{name:"_inline_16_arg6_",lvalue:!1,rvalue:!0,count:4}],thisVars:["this_closestD2","this_closestX","this_closestY"],localVars:["_inline_16_a","_inline_16_f","_inline_16_l"]},post:{body:"{return[this_closestX,this_closestY,this_closestD2]}",args:[],thisVars:["this_closestD2","this_closestX","this_closestY"],localVars:[]},debug:!1,funcName:"cwise",blockSize:64});function 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 vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n  gl_FragColor = fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec3"},{name:"weight",type:"float"}])}},{"gl-shader":301,glslify:409}],310:[function(t,e,r){"use strict";var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var h=new s(t,l,c,u);return h.update(e),h};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],h=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var f=c,p=u,d=0;d<3;++d)i&&i[d]<0?(f[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(f[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);h[0]=e.drawingBufferWidth,h[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,f,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=h;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&("bounds"in t&&(this.bounds=t.bounds),"position"in t&&(this.position=t.position),"lineWidth"in t&&(this.lineWidth=t.lineWidth),"colors"in t&&(this.colors=t.colors),"enabled"in t&&(this.enabled=t.enabled),"drawSides"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{"./shaders/index":309,"gl-buffer":241,"gl-vao":327}],311:[function(t,e,r){var n=t("glslify"),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 tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 color, position;\nattribute vec2 uv;\nuniform float vectorScale;\nuniform float tubeScale;\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\n           , 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\n            , fresnel\n            , kambient\n            , kdiffuse\n            , kspecular\n            , opacity;\nuniform sampler2D texture;\n\nvarying vec3 f_normal\n           , f_lightDirection\n           , f_eyeDirection\n           , f_data\n           , f_position;\nvarying vec4 f_color;\nvarying vec2 f_uv;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n  vec3 N = normalize(f_normal);\n  vec3 L = normalize(f_lightDirection);\n  vec3 V = normalize(f_eyeDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = litColor * opacity;\n}\n"]),o=n(["precision highp float;\n\nprecision highp float;\n#define GLSLIFY 1\n\nvec3 getOrthogonalVector(vec3 v) {\n  // Return up-vector for only-z vector.\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\n  // Assign z = 0, x = -b, y = a:\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\n    return normalize(vec3(-v.y, v.x, 0.0));\n  } else {\n    return normalize(vec3(0.0, v.z, -v.y));\n  }\n}\n\n// Calculate the tube vertex and normal at the given index.\n//\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\n//\n// Each tube segment is made up of a ring of vertices.\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\n// The indexes of tube segments run from 0 to 8.\n//\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\n  float segmentCount = 8.0;\n\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\n\n  vec3 u = getOrthogonalVector(d);\n  vec3 v = normalize(cross(u, d));\n\n  vec3 x = u * cos(angle) * length(d);\n  vec3 y = v * sin(angle) * length(d);\n  vec3 v3 = x + y;\n\n  normal = normalize(v3);\n\n  return v3;\n}\n\nattribute vec4 vector;\nattribute vec4 position;\nattribute vec4 id;\n\nuniform mat4 model, view, projection;\nuniform float tubeScale;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  vec3 normal;\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\n\n  gl_Position = projection * view * tubePosition;\n  f_id        = id;\n  f_position  = position.xyz;\n}\n"]),s=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3  clipBounds[2];\nuniform float pickId;\n\nvarying vec3 f_position;\nvarying vec4 f_id;\n\nvoid main() {\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\n\n  gl_FragColor = vec4(pickId, f_id.xyz);\n}"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:"position",type:"vec4"},{name:"normal",type:"vec3"},{name:"color",type:"vec4"},{name:"uv",type:"vec2"},{name:"vector",type:"vec4"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec4"}]}},{glslify:409}],312:[function(t,e,r){"use strict";var n=t("gl-shader"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("normals"),l=t("gl-mat4/multiply"),c=t("gl-mat4/invert"),u=t("ndarray"),h=t("colormap"),f=t("simplicial-complex-contour"),p=t("typedarray-pool"),d=t("./shaders"),g=d.meshShader,v=d.pickShader,m=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function y(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,y,x,b,_,w,k,T){this.gl=t,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.triangleNormals=c,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=u,this.triangleCount=0,this.lineWidth=1,this.edgePositions=h,this.edgeColors=p,this.edgeUVs=d,this.edgeIds=f,this.edgeVAO=g,this.edgeCount=0,this.pointPositions=v,this.pointColors=x,this.pointUVs=b,this.pointSizes=_,this.pointIds=y,this.pointVAO=w,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=k,this.contourVAO=T,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!1,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.tubeScale=1,this._model=m,this._view=m,this._projection=m,this._resolution=[1,1],this.pixelRatio=1}var x=y.prototype;function b(t){var e=n(t,v.vertex,v.fragment,null,v.attributes);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.vector.location=5,e}x.isOpaque=function(){return this.opacity>=1},x.isTransparent=function(){return this.opacity<1},x.pickSlots=1,x.setPickBase=function(t){this.pickId=t},x.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],g=n[h][1],v=i[h],m=1-v,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=v*y[b]+m*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},x.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),"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),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){for(var e=h({colormap:t,nshades:256,format:"rgba"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale);var a=[],l=[],c=[],f=[],p=[],d=[],g=[],v=[],m=[],y=[],x=[],b=[],_=[],w=[],k=[];this.cells=r,this.positions=n,this.vectors=i;var T=t.vertexNormals,A=t.cellNormals,M=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,S=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!A&&(A=s.faceNormals(r,n,S)),A||T||(T=s.vertexNormals(r,n,M));var E=t.vertexColors,C=t.cellColors,L=t.meshColor||[1,1,1,1],P=t.vertexUVs,O=t.vertexIntensity,z=t.cellUVs,I=t.cellIntensity,D=1/0,R=-1/0;if(!P&&!z)if(O)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],R=+t.vertexIntensityBounds[1];else for(var F=0;F<O.length;++F){var B=O[F];D=Math.min(D,B),R=Math.max(R,B)}else if(I)for(F=0;F<I.length;++F){B=I[F];D=Math.min(D,B),R=Math.max(R,B)}else for(F=0;F<n.length;++F){B=n[F][2];D=Math.min(D,B),R=Math.max(R,B)}this.intensity=O||(I?function(t,e,r){for(var n=new Array(e),i=0;i<e;++i)n[i]=0;var a=t.length;for(i=0;i<a;++i)for(var o=t[i],s=0;s<o.length;++s)n[o[s]]=r[i];return n}(r,n.length,I):function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n));var N=t.pointSizes,j=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(F=0;F<n.length;++F)for(var U=n[F],V=0;V<3;++V)!isNaN(U[V])&&isFinite(U[V])&&(this.bounds[0][V]=Math.min(this.bounds[0][V],U[V]),this.bounds[1][V]=Math.max(this.bounds[1][V],U[V]));var q=0,H=0,G=0;t:for(F=0;F<r.length;++F){var Y=r[F];switch(Y.length){case 1:for(U=n[X=Y[0]],V=0;V<3;++V)if(isNaN(U[V])||!isFinite(U[V]))continue t;x.push(U[0],U[1],U[2],U[3]),3===(Z=E?E[X]:C?C[F]:L).length?b.push(Z[0],Z[1],Z[2],1):b.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],_.push(J[0],J[1]),N?w.push(N[X]):w.push(j),k.push(F),G+=1;break;case 2:for(V=0;V<2;++V){U=n[X=Y[V]];for(var W=0;W<3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t}for(V=0;V<2;++V){U=n[X=Y[V]];g.push(U[0],U[1],U[2]),3===(Z=E?E[X]:C?C[F]:L).length?v.push(Z[0],Z[1],Z[2],1):v.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],m.push(J[0],J[1]),y.push(F)}H+=1;break;case 3:for(V=0;V<3;++V)for(U=n[X=Y[V]],W=0;W<3;++W)if(isNaN(U[W])||!isFinite(U[W]))continue t;for(V=0;V<3;++V){var X;U=n[X=Y[2-V]];a.push(U[0],U[1],U[2],U[3]);var Z,J,K,$=i[X];l.push($[0],$[1],$[2],$[3]),3===(Z=E?E[X]:C?C[F]:L).length?c.push(Z[0],Z[1],Z[2],1):c.push(Z[0],Z[1],Z[2],Z[3]),J=P?P[X]:O?[(O[X]-D)/(R-D),0]:z?z[F]:I?[(I[F]-D)/(R-D),0]:[(U[2]-D)/(R-D),0],p.push(J[0],J[1]),K=T?T[X]:A[F],f.push(K[0],K[1],K[2]),d.push(F)}q+=1}}this.pointCount=G,this.edgeCount=H,this.triangleCount=q,this.pointPositions.update(x),this.pointColors.update(b),this.pointUVs.update(_),this.pointSizes.update(w),this.pointIds.update(new Uint32Array(k)),this.edgePositions.update(g),this.edgeColors.update(v),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(y)),this.trianglePositions.update(a),this.triangleVectors.update(l),this.triangleColors.update(c),this.triangleUVs.update(p),this.triangleNormals.update(f),this.triangleIds.update(new Uint32Array(d))}},x.drawTransparent=x.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,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:m.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,contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var f=u[12+o],p=0;p<3;++p)f+=u[4*p+o]*this.lightPosition[p];s.lightPosition[o]=f/h}if(this.triangleCount>0){var d=this.triShader;d.bind(),d.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},x.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||m,n=t.view||m,i=t.projection||m,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,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()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind())},x.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);return{index:e,position:n,intensity:this.intensity[r[1]],velocity:this.vectors[r[1]].slice(0,3),divergence:this.vectors[r[1]][3],dataCoordinate:n}},x.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.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()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=e.triShader||function(t){var e=n(t,g.vertex,g.fragment,null,g.attributes);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.vector.location=5,e}(t),s=b(t),l=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));l.generateMipmap(),l.minFilter=t.LINEAR_MIPMAP_LINEAR,l.magFilter=t.LINEAR;var c=i(t),h=i(t),f=i(t),p=i(t),d=i(t),v=i(t),m=a(t,[{buffer:c,type:t.FLOAT,size:4},{buffer:v,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:f,type:t.FLOAT,size:4},{buffer:p,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:3},{buffer:h,type:t.FLOAT,size:4}]),x=i(t),_=i(t),w=i(t),k=i(t),T=a(t,[{buffer:x,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),A=i(t),M=i(t),S=i(t),E=i(t),C=i(t),L=a(t,[{buffer:A,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:M,type:t.FLOAT,size:4},{buffer:S,type:t.FLOAT,size:2},{buffer:E,type:t.FLOAT,size:1}]),P=i(t),O=new y(t,l,r,s,c,h,v,f,p,d,m,x,k,_,w,T,A,C,M,S,E,L,P,a(t,[{buffer:P,type:t.FLOAT,size:3}]));return O.update(e),O}},{"./shaders":311,colormap:126,"gl-buffer":241,"gl-mat4/invert":265,"gl-mat4/multiply":267,"gl-shader":301,"gl-texture2d":322,"gl-vao":327,ndarray:450,normals:453,"simplicial-complex-contour":518,"typedarray-pool":545}],313:[function(t,e,r){"use strict";var n=t("gl-vec3"),i=t("gl-vec4"),a=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++){var u=n.length(l[c]);u>o&&(o=u)}var h=t.map(function(t){return function(t,e,r,a){var o,s,l,c=t.points,u=t.velocities,h=t.divergences;n.set(n.create(),0,1,0),n.create(),n.create();n.create();for(var f=[],p=[],d=[],g=[],v=[],m=[],y=0,x=0,b=i.create(),_=i.create(),w=0;w<c.length;w++){o=c[w],s=u[w],l=h[w],0===e&&(l=.05*r),x=n.length(s)/a,b=i.create(),n.copy(b,s),b[3]=l;for(var k=0;k<8;k++)v[k]=[o[0],o[1],o[2],k];if(g.length>0)for(k=0;k<8;k++){var T=(k+1)%8;f.push(g[k],v[k],v[T],v[T],g[T],g[k]),d.push(_,b,b,b,_,_),m.push(y,x,x,x,y,y),p.push([f.length-6,f.length-5,f.length-4],[f.length-3,f.length-2,f.length-1])}var A=g;g=v,v=A,A=_,_=b,b=A,A=y,y=x,x=A}return{positions:f,cells:p,vectors:d,vertexIntensity:m}}(t,r,a,o)}),f=[],p=[],d=[],g=[];for(s=0;s<h.length;s++){var v=h[s],m=f.length;f=f.concat(v.positions),d=d.concat(v.vectors),g=g.concat(v.vertexIntensity);for(c=0;c<v.cells.length;c++){var y=v.cells[c],x=[];p.push(x);for(var b=0;b<y.length;b++)x.push(y[b]+m)}}return{positions:f,cells:p,vectors:d,vertexIntensity:g,colormap:e}},o=function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=this.getVelocity(r);n.subtract(a,a,e),n.scale(a,a,1e4),n.add(r,t,[0,i,0]);var o=this.getVelocity(r);n.subtract(o,o,e),n.scale(o,o,1e4),n.add(r,t,[0,0,i]);var s=this.getVelocity(r);return n.subtract(s,s,e),n.scale(s,s,1e4),n.add(r,a,o),n.add(r,r,s),r},s=function(t){return f(t,this.vectors,this.meshgrid,this.clampBorders)},l=function(t,e){for(var r=0;r<t.length;r++){var n=t[r];if(n===e)return r;if(n>e)return r-1}return r},c=n.create(),u=n.create(),h=function(t,e,r){return t<e?e:t>r?r:t},f=function(t,e,r,i){var a=t[0],o=t[1],s=t[2],f=r[0].length,p=r[1].length,d=r[2].length,g=l(r[0],a),v=l(r[1],o),m=l(r[2],s),y=g+1,x=v+1,b=m+1;if(r[0][g]===a&&(y=g),r[1][v]===o&&(x=v),r[2][m]===s&&(b=m),i&&(g=h(g,0,f-1),y=h(y,0,f-1),v=h(v,0,p-1),x=h(x,0,p-1),m=h(m,0,d-1),b=h(b,0,d-1)),g<0||v<0||m<0||y>=f||x>=p||b>=d)return n.create();var _=(a-r[0][g])/(r[0][y]-r[0][g]),w=(o-r[1][v])/(r[1][x]-r[1][v]),k=(s-r[2][m])/(r[2][b]-r[2][m]);(_<0||_>1||isNaN(_))&&(_=0),(w<0||w>1||isNaN(w))&&(w=0),(k<0||k>1||isNaN(k))&&(k=0);var T=m*f*p,A=b*f*p,M=v*f,S=x*f,E=g,C=y,L=e[M+T+E],P=e[M+T+C],O=e[S+T+E],z=e[S+T+C],I=e[M+A+E],D=e[M+A+C],R=e[S+A+E],F=e[S+A+C],B=n.create();return n.lerp(B,L,P,_),n.lerp(c,O,z,_),n.lerp(B,B,c,w),n.lerp(c,I,D,_),n.lerp(u,R,F,_),n.lerp(c,c,u,w),n.lerp(B,B,c,k),B},p=function(t){var e=1/0;t.sort(function(t,e){return t-e});for(var r=1;r<t.length;r++){var n=Math.abs(t[r]-t[r-1]);n<e&&(e=n)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,l=t.tubeSize||1,c=t.absoluteTubeSize;t.getDivergence||(t.getDivergence=o),t.getVelocity||(t.getVelocity=s),void 0===t.clampBorders&&(t.clampBorders=!0);var u=[],h=e[0][0],f=e[0][1],d=e[0][2],g=e[1][0],v=e[1][1],m=e[1][2],y=function(t,e){var r=e[0],n=e[1],i=e[2];return r>=h&&r<=g&&n>=f&&n<=v&&i>=d&&i<=m},x=10*n.distance(e[0],e[1])/i,b=x*x,_=1,w=0;n.create();r.length>=2&&(_=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=0;s<t.length;s++){var l=t[s],c=l[0],u=l[1],h=l[2];i[c]||(e.push(c),i[c]=!0),a[u]||(r.push(u),a[u]=!0),o[h]||(n.push(h),o[h]=!0)}var f=p(e),d=p(r),g=p(n),v=Math.min(f,d,g);return isFinite(v)?v:1}(r));for(var k=0;k<r.length;k++){var T=n.create();n.copy(T,r[k]);var A=[T],M=[],S=t.getVelocity(T),E=T;M.push(S);var C=[],L=t.getDivergence(T,S);(I=n.length(L))>w&&!isNaN(I)&&isFinite(I)&&(w=I),C.push(I),u.push({points:A,velocities:M,divergences:C});for(var P=0;P<100*i&&A.length<i&&y(0,T);){P++;var O=n.clone(S),z=n.squaredLength(O);if(0===z)break;if(z>b&&n.scale(O,O,x/Math.sqrt(z)),n.add(O,O,T),S=t.getVelocity(O),n.squaredDistance(E,O)-b>-1e-4*b){A.push(O),E=O,M.push(S);L=t.getDivergence(O,S);(I=n.length(L))>w&&!isNaN(I)&&isFinite(I)&&(w=I),C.push(I)}T=O}}for(k=0;k<C.length;k++){var I=C[k];!isNaN(I)&&isFinite(I)||(C[k]=w)}var D=a(u,t.colormap,w,_);return c?D.tubeScale=c:(0===w&&(w=1),D.tubeScale=.5*l*_/w),D},e.exports.createTubeMesh=t("./lib/tubemesh")},{"./lib/tubemesh":312,"gl-vec3":346,"gl-vec4":382}],314:[function(t,e,r){var n=t("gl-shader"),i=t("glslify"),a=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute vec3 f;\nattribute vec3 normal;\n\nuniform vec3 objectOffset;\nuniform mat4 model, view, projection, inverseModel;\nuniform vec3 lightPosition, eyePosition;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 localCoordinate = vec3(uv.zw, f.x);\n  worldCoordinate = objectOffset + localCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n  vec4 clipPosition = projection * view * worldPosition;\n  gl_Position = clipPosition;\n  kill = f.y;\n  value = f.z;\n  planeCoordinate = uv.xy;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Lighting geometry parameters\n  vec4 cameraCoordinate = view * worldPosition;\n  cameraCoordinate.xyz /= cameraCoordinate.w;\n  lightDirection = lightPosition - cameraCoordinate.xyz;\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\n}\n"]),o=i(["precision highp float;\n#define GLSLIFY 1\n\nfloat beckmannDistribution(float x, float roughness) {\n  float NdotH = max(x, 0.0001);\n  float cos2Alpha = NdotH * NdotH;\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\n  float roughness2 = roughness * roughness;\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\n  return exp(tan2Alpha / roughness2) / denom;\n}\n\nfloat beckmannSpecular(\n  vec3 lightDirection,\n  vec3 viewDirection,\n  vec3 surfaceNormal,\n  float roughness) {\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\n}\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 lowerBound, upperBound;\nuniform float contourTint;\nuniform vec4 contourColor;\nuniform sampler2D colormap;\nuniform vec3 clipBounds[2];\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\nuniform float vertexColor;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec3 N = normalize(surfaceNormal);\n  vec3 V = normalize(eyeDirection);\n  vec3 L = normalize(lightDirection);\n\n  if(gl_FrontFacing) {\n    N = -N;\n  }\n\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\n\n  //decide how to interpolate color \u2014 in vertex or in fragment\n  vec4 surfaceColor =\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\n    step(.5, vertexColor) * vColor;\n\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\n\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\n}\n"]),s=i(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec4 uv;\nattribute float f;\n\nuniform vec3 objectOffset;\nuniform mat3 permutation;\nuniform mat4 model, view, projection;\nuniform float height, zOffset;\nuniform sampler2D colormap;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\nvarying vec4 vColor;\n\nvoid main() {\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\n  worldCoordinate = objectOffset + dataCoordinate;\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\n\n  vec4 clipPosition = projection * view * worldPosition;\n  clipPosition.z += zOffset;\n\n  gl_Position = clipPosition;\n  value = f + objectOffset.z;\n  kill = -1.0;\n  planeCoordinate = uv.zw;\n\n  vColor = texture2D(colormap, vec2(value, value));\n\n  //Don't do lighting for contours\n  surfaceNormal   = vec3(1,0,0);\n  eyeDirection    = vec3(0,1,0);\n  lightDirection  = vec3(0,0,1);\n}\n"]),l=i(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec2 shape;\nuniform vec3 clipBounds[2];\nuniform float pickId;\n\nvarying float value, kill;\nvarying vec3 worldCoordinate;\nvarying vec2 planeCoordinate;\nvarying vec3 surfaceNormal;\n\nvec2 splitFloat(float v) {\n  float vh = 255.0 * v;\n  float upper = floor(vh);\n  float lower = fract(vh);\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\n}\n\nvoid main() {\n  if ((kill > 0.0) ||\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\n\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\n}\n"]);r.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},r.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},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:"uv",type:"vec4"},{name:"f",type:"float"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{"gl-shader":301,glslify:409}],315:[function(t,e,r){arguments[4][111][0].apply(r,arguments)},{dup:111}],316:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=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}]),g=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var v=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,h,f,p,d,[0,0,0]),m={levels:[[],[],[]]};for(var k in t)m[k]=t[k];return m.colormap=m.colormap||"jet",v.update(m),v};var n=t("bit-twiddle"),i=t("gl-buffer"),a=t("gl-vao"),o=t("gl-texture2d"),s=t("typedarray-pool"),l=t("colormap"),c=t("ndarray-ops"),u=t("ndarray-pack"),h=t("ndarray"),f=t("surface-nets"),p=t("gl-mat4/multiply"),d=t("gl-mat4/invert"),g=t("binary-search-bounds"),v=t("ndarray-gradient"),m=t("./lib/shaders"),y=m.createShader,x=m.createContourShader,b=m.createPickShader,_=m.createPickContourShader,w=40,k=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],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,g,v){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=v,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=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0]),h(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.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.isTransparent=function(){return this.opacity<1},C.isOpaque=function(){if(this.opacity>=1)return!0;for(var t=0;t<3;++t)if(this._contourCounts[t].length>0||this._dynamicCounts[t]>0)return!0;return!1},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],P={showSurface:!1,showContour:!1,projections:[k.slice(),k.slice(),k.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||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=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=P.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 P.showSurface=o,P.showContour=s,P}var z={model:k,view:k,projection:k,inverseModel:k.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=k.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||k,n.view=t.view||k,n.projection=t.projection||k,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=I;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=O(n,this);if(u.showSurface&&e===this.opacity<1){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&&!e){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 g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(h.uniforms.height=this.contourLevels[o][g],f.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(f.unbind(),(f=this._dynamicVAO).bind(),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:k,view:k,projection:k,inverseModel:k,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||k,r.view=t.view||k,r.projection=t.projection||k,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=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var 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,v=h*(f?l:1-l),m=0;m<3;++m)c[m]+=this._field[m].get(p,d)*v;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=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],m=0;m<3;++m)r.dataCoordinate[m]=this._field[m].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),"colorBounds"in t&&(this.colorBounds=t.colorBounds),"vertexColor"in t&&(this.vertexColor=t.vertexColor?1:0);var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),"field"in t||"coords"in t){var 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 p=t.coords;if(!Array.isArray(p)||3!==p.length)throw new Error("gl-surface: invalid coordinates for x/y");for(o=0;o<2;++o){var d=p[o];for(b=0;b<2;++b)if(d.shape[b]!==a[b])throw new Error("gl-surface: coords have incorrect shape");this.padField(this._field[o],d)}}else if(t.ticks){var g=t.ticks;if(!Array.isArray(g)||2!==g.length)throw new Error("gl-surface: invalid ticks");for(o=0;o<2;++o){var m=g[o];if((Array.isArray(m)||m.length)&&(m=h(m)),m.shape[0]!==a[o])throw new Error("gl-surface: invalid tick length");var y=h(m.data,a);y.stride[o]=m.stride[0],y.stride[1^o]=0,this.padField(this._field[o],y)}}else{for(o=0;o<2;++o){var x=[0,0];x[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],x,0)}this._field[0].set(0,0,0);for(var b=0;b<a[0];++b)this._field[0].set(b+1,0,b);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),b=0;b<a[1];++b)this._field[1].set(0,b+1,b);this._field[1].set(0,a[1]+1,a[1]-1)}var _=this._field,w=h(s.mallocFloat(3*_[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)v(w.pick(o),_[o],"mirror");var k=h(s.mallocFloat(3*_[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(b=0;b<a[1]+2;++b){var A=w.get(0,o,b,0),M=w.get(0,o,b,1),E=w.get(1,o,b,0),C=w.get(1,o,b,1),L=w.get(2,o,b,0),P=w.get(2,o,b,1),O=E*P-C*L,z=L*M-P*A,I=A*C-M*E,D=Math.sqrt(O*O+z*z+I*I);D<1e-8?(D=Math.max(Math.abs(O),Math.abs(z),Math.abs(I)))<1e-8?(I=1,z=O=0,D=1):D=1/D:D=1/Math.sqrt(D),k.set(o,b,0,O*D),k.set(o,b,1,z*D),k.set(o,b,2,I*D)}s.free(w.data);var R=[1/0,1/0,1/0],F=[-1/0,-1/0,-1/0],N=1/0,U=-1/0,V=(a[0]-1)*(a[1]-1)*6,q=s.mallocFloat(n.nextPow2(10*V)),H=0,G=0;for(o=0;o<a[0]-1;++o)t:for(b=0;b<a[1]-1;++b){for(var Y=0;Y<2;++Y)for(var W=0;W<2;++W)for(var X=0;X<3;++X){var Z=this._field[X].get(1+o+Y,1+b+W);if(isNaN(Z)||!isFinite(Z))continue t}for(X=0;X<6;++X){var J=o+T[X][0],K=b+T[X][1],$=this._field[0].get(J+1,K+1),Q=this._field[1].get(J+1,K+1);Z=this._field[2].get(J+1,K+1),O=k.get(J+1,K+1,0),z=k.get(J+1,K+1,1),I=k.get(J+1,K+1,2),t.intensity&&(tt=t.intensity.get(J,K));var tt=t.intensity?t.intensity.get(J,K):Z+this.objectOffset[2];q[H++]=J,q[H++]=K,q[H++]=$,q[H++]=Q,q[H++]=Z,q[H++]=0,q[H++]=tt,q[H++]=O,q[H++]=z,q[H++]=I,R[0]=Math.min(R[0],$+this.objectOffset[0]),R[1]=Math.min(R[1],Q+this.objectOffset[1]),R[2]=Math.min(R[2],Z+this.objectOffset[2]),N=Math.min(N,tt),F[0]=Math.max(F[0],$+this.objectOffset[0]),F[1]=Math.max(F[1],Q+this.objectOffset[1]),F[2]=Math.max(F[2],Z+this.objectOffset[2]),U=Math.max(U,tt),G+=1}}for(t.intensityBounds&&(N=+t.intensityBounds[0],U=+t.intensityBounds[1]),o=6;o<H;o+=10)q[o]=(q[o]-N)/(U-N);this._vertexCount=G,this._coordinateBuffer.update(q.subarray(0,H)),s.freeFloat(q),s.free(k.data),this.bounds=[R,F],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===N&&this.intensityBounds[1]===U||(r=!0),this.intensityBounds=[N,U]}if("levels"in t){var et=t.levels;for(et=Array.isArray(et[0])?et.slice():[[],[],et],o=0;o<3;++o)et[o]=et[o].slice(),et[o].sort(function(t,e){return t-e});for(o=0;o<3;++o)for(b=0;b<et[o].length;++b)et[o][b]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(et[o].length!==this.contourLevels[o].length){r=!0;break}for(b=0;b<et[o].length;++b)if(et[o][b]!==this.contourLevels[o][b]){r=!0;break t}}this.contourLevels=et}if(r){_=this._field,a=this.shape;for(var rt=[],nt=0;nt<3;++nt){var it=this.contourLevels[nt],at=[],ot=[],st=[0,0,0];for(o=0;o<it.length;++o){var lt=f(this._field[nt],it[o]);at.push(rt.length/5|0),G=0;t:for(b=0;b<lt.cells.length;++b){var ct=lt.cells[b];for(X=0;X<2;++X){var ut=lt.positions[ct[X]],ht=ut[0],ft=0|Math.floor(ht),pt=ht-ft,dt=ut[1],gt=0|Math.floor(dt),vt=dt-gt,mt=!1;e:for(var yt=0;yt<3;++yt){st[yt]=0;var xt=(nt+yt+1)%3;for(Y=0;Y<2;++Y){var bt=Y?pt:1-pt;for(J=0|Math.min(Math.max(ft+Y,0),a[0]),W=0;W<2;++W){var _t=W?vt:1-vt;if(K=0|Math.min(Math.max(gt+W,0),a[1]),Z=yt<2?this._field[xt].get(J,K):(this.intensity.get(J,K)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(Z)||isNaN(Z)){mt=!0;break e}var wt=bt*_t;st[yt]+=wt*Z}}}if(mt){if(X>0){for(var kt=0;kt<5;++kt)rt.pop();G-=1}continue t}rt.push(st[0],st[1],ut[0],ut[1],st[2]),G+=1}}ot.push(G)}this._contourOffsets[nt]=at,this._contourCounts[nt]=ot}var Tt=s.mallocFloat(rt.length);for(o=0;o<rt.length;++o)Tt[o]=rt[o];this._contourBuffer.update(Tt),s.freeFloat(Tt)}t.colormap&&this._colorMap.setPixels(function(t){var e=u([l({colormap:t,nshades:S,format:"rgba"}).map(function(t){return[t[0],t[1],t[2],255*t[3]]})]);return c.divseq(e,255),e}(t.colormap))},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]),g=d.cells,v=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var m=g[e],y=0;y<2;++y){var x=v[m[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),k=b-_,T=1-k,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,C=1-E,L=T*C,P=T*E,O=k*C,z=k*E,I=L*h.get(_,M)+P*h.get(_,S)+O*h.get(w,M)+z*h.get(w,S),D=L*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+z*p.get(w,S);if(isNaN(I)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=I,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)}}},{"./lib/shaders":314,"binary-search-bounds":315,"bit-twiddle":92,colormap:126,"gl-buffer":241,"gl-mat4/invert":265,"gl-mat4/multiply":267,"gl-texture2d":322,"gl-vao":327,ndarray:450,"ndarray-gradient":441,"ndarray-ops":444,"ndarray-pack":445,"surface-nets":531,"typedarray-pool":545}],317:[function(t,e,r){"use strict";var n=t("css-font"),i=t("pick-by-alias"),a=t("regl"),o=t("gl-util/context"),s=t("es6-weak-map"),l=t("color-normalize"),c=t("font-atlas"),u=t("typedarray-pool"),h=t("parse-rect"),f=t("is-plain-obj"),p=t("parse-unit"),d=t("to-px"),g=t("detect-kerning"),v=t("object-assign"),m=t("font-measure"),y=t("flatten-vertex-data"),x=t("bit-twiddle").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement("div"));w.style.font="italic small-caps bold condensed 16px/2 cursive",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var k=function(t){!function(t){return"function"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:"uint8",usage:"stream"}),this.sizeBuffer=this.regl.buffer({type:"float",usage:"stream"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(f(t)?t:{})};k.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop("count"),offset:t.prop("offset"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this("sizeBuffer")},width:{offset:0,stride:8,buffer:t.this("sizeBuffer")},char:t.this("charBuffer"),position:t.this("position")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop("color"),opacity:t.prop("opacity"),viewport:t.this("viewportArray"),scale:t.this("scale"),align:t.prop("align"),baseline:t.prop("baseline"),translate:t.this("translate"),positionOffset:t.prop("positionOffset")},primitive:"points",viewport:t.this("viewport"),vert:"\n\t\t\tprecision highp float;\n\t\t\tattribute float width, charOffset, char;\n\t\t\tattribute vec2 position;\n\t\t\tuniform float fontSize, charStep, em, align, baseline;\n\t\t\tuniform vec4 viewport;\n\t\t\tuniform vec4 color;\n\t\t\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvoid main () {\n\t\t\t\t"+(k.normalViewport?"":"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);")+"\n\n\t\t\t\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\n\t\t\t\t\t+ positionOffset))\n\t\t\t\t\t/ (viewport.zw * scale.xy);\n\n\t\t\t\tvec2 position = (position + translate) * scale;\n\t\t\t\tposition += offset * scale;\n\n\t\t\t\t"+(k.normalViewport?"position.y = 1. - position.y;":"")+"\n\n\t\t\t\tcharCoord = position * viewport.zw + viewport.xy;\n\n\t\t\t\tgl_Position = vec4(position * 2. - 1., 0, 1);\n\n\t\t\t\tgl_PointSize = charStep;\n\n\t\t\t\tcharId.x = mod(char, atlasDim.x);\n\t\t\t\tcharId.y = floor(char / atlasDim.x);\n\n\t\t\t\tcharWidth = width * em;\n\n\t\t\t\tfontColor = color / 255.;\n\t\t\t}",frag:"\n\t\t\tprecision highp float;\n\t\t\tuniform sampler2D atlas;\n\t\t\tuniform float fontSize, charStep, opacity;\n\t\t\tuniform vec2 atlasSize;\n\t\t\tuniform vec4 viewport;\n\t\t\tvarying vec4 fontColor;\n\t\t\tvarying vec2 charCoord, charId;\n\t\t\tvarying float charWidth;\n\n\t\t\tfloat lightness(vec4 color) {\n\t\t\t\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\n\t\t\t}\n\n\t\t\tvoid main () {\n\t\t\t\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\n\t\t\t\tfloat halfCharStep = floor(charStep * .5 + .5);\n\n\t\t\t\t// invert y and shift by 1px (FF expecially needs that)\n\t\t\t\tuv.y = charStep - uv.y;\n\n\t\t\t\t// ignore points outside of character bounding box\n\t\t\t\tfloat halfCharWidth = ceil(charWidth * .5);\n\t\t\t\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\n\t\t\t\t\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\n\n\t\t\t\tuv += charId * charStep;\n\t\t\t\tuv = uv / atlasSize;\n\n\t\t\t\tvec4 color = fontColor;\n\t\t\t\tvec4 mask = texture2D(atlas, uv);\n\n\t\t\t\tfloat maskY = lightness(mask);\n\t\t\t\t// float colorY = lightness(color);\n\t\t\t\tcolor.a *= maskY;\n\t\t\t\tcolor.a *= opacity;\n\n\t\t\t\t// color.a += .1;\n\n\t\t\t\t// antialiasing, see yiq color space y-channel formula\n\t\t\t\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\n\n\t\t\t\tgl_FragColor = color;\n\t\t\t}"});return{regl:t,draw:e,atlas:{}}},k.prototype.update=function(t){var e=this;if("string"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:"position positions coord coords coordinates",font:"font fontFace fontface typeface cssFont css-font family fontFamily",fontSize:"fontSize fontsize size font-size",text:"text texts chars characters value values symbols",align:"align alignment textAlign textbaseline",baseline:"baseline textBaseline textbaseline",direction:"dir direction textDirection",color:"color colour fill fill-color fillColor textColor textcolor",kerning:"kerning kern",range:"range dataBox",viewport:"vp viewport viewBox viewbox viewPort",opacity:"opacity alpha transparency visible visibility opaque",offset:"offset positionOffset padding shift indent indentation"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map(function(t){return parseFloat(t)}):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=h(t.viewport),k.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&("number"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=k.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(k.baseFontSize+"px "+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:k.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=k.fonts[i],e.font[r]))){var c=t.family.join(", "),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:m(c,{origin:"top",fontSize:k.baseFontSize,fontStyle:u.join(" ")})},k.fonts[i]=e.font[r]}}),(a||o)&&this.font.forEach(function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)}),"string"==typeof t.text&&t.position&&t.position.length>2){for(var 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 b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join("")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach(function(t,n){k.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]=k.atlasContext.measureText(o).width/k.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);v(t.kerning,g(t.family,{pairs:s}))}}})}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,T=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++)T[M++]=t.position[2*A],T[M++]=t.position[2*A+1];else for(var C=0;C<S;C++)T[M++]=t.position[A][0],T[M++]=t.position[A][1]}this.position.call?this.position({type:"float",data:T}):this.position=this.regl.buffer({type:"float",data:T}),u.freeFloat(T)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,z=0;O<this.counts.length;O++){for(var I=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<I;F++){var B=this.text.charAt(z),N=this.text.charAt(z-1);if(L[z]=R.ids[B],P[2*z]=D.width[B],F){var j=P[2*z-2],U=P[2*z],V=P[2*z-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*z+1]=V}else P[2*z+1]=.5*P[2*z];z++}this.textWidth.push(P.length?.5*P[2*z-2]+P[2*z-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:L,type:"uint8",usage:"stream"}),this.sizeBuffer({data:P,type:"float",usage:"stream"}),u.freeUint8(L),u.freeFloat(P),r.length&&this.font.forEach(function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(k.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:k.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})})}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map(function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if("number"==typeof n)return n;switch(n){case"right":case"end":return-t;case"center":case"centre":case"middle":return.5*-t}return 0})),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map(function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+="number"==typeof t?t-n.baseline:-n[t],k.normalViewport||(i*=-1),i})),null!=t.color)if(t.color||(t.color="transparent"),"string"!=typeof t.color&&isNaN(t.color)){var H;if("number"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),"uint8"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,"uint8"),4*Z)}this.color=H}else this.color=l(t.color,"uint8");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},k.prototype.destroy=function(){},k.prototype.kerning=!0,k.prototype.position={constant:new Float32Array(2)},k.prototype.translate=null,k.prototype.scale=null,k.prototype.font=null,k.prototype.text="",k.prototype.positionOffset=[0,0],k.prototype.opacity=1,k.prototype.color=new Uint8Array([0,0,0,255]),k.prototype.alignOffset=[0,0],k.normalViewport=!1,k.maxAtlasSize=1024,k.atlasCanvas=document.createElement("canvas"),k.atlasContext=k.atlasCanvas.getContext("2d",{alpha:!1}),k.baseFontSize=64,k.fonts={},e.exports=k},{"bit-twiddle":92,"color-normalize":120,"css-font":139,"detect-kerning":166,"es6-weak-map":318,"flatten-vertex-data":227,"font-atlas":228,"font-measure":229,"gl-util/context":323,"is-plain-obj":422,"object-assign":454,"parse-rect":459,"parse-unit":461,"pick-by-alias":465,regl:502,"to-px":539,"typedarray-pool":545}],318:[function(t,e,r){"use strict";e.exports=t("./is-implemented")()?WeakMap:t("./polyfill")},{"./is-implemented":319,"./polyfill":321}],319:[function(t,e,r){"use strict";e.exports=function(){var t,e;if("function"!=typeof WeakMap)return!1;try{t=new WeakMap([[e={},"one"],[{},"two"],[{},"three"]])}catch(t){return!1}return"[object WeakMap]"===String(t)&&("function"==typeof t.set&&(t.set({},1)===t&&("function"==typeof t.delete&&("function"==typeof t.has&&"one"===t.get(e)))))}},{}],320:[function(t,e,r){"use strict";e.exports="function"==typeof WeakMap&&"[object WeakMap]"===Object.prototype.toString.call(new WeakMap)},{}],321:[function(t,e,r){"use strict";var n,i=t("es5-ext/object/is-value"),a=t("es5-ext/object/set-prototype-of"),o=t("es5-ext/object/valid-object"),s=t("es5-ext/object/valid-value"),l=t("es5-ext/string/random-uniq"),c=t("d"),u=t("es6-iterator/get"),h=t("es6-iterator/for-of"),f=t("es6-symbol").toStringTag,p=t("./is-native-implemented"),d=Array.isArray,g=Object.defineProperty,v=Object.prototype.hasOwnProperty,m=Object.getPrototypeOf;e.exports=n=function(){var t,e=arguments[0];if(!(this instanceof n))throw new TypeError("Constructor requires 'new'");return t=p&&a&&WeakMap!==n?a(new 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n=t("ndarray"),i=t("ndarray-ops"),a=t("typedarray-pool");e.exports=function(t){if(arguments.length<=1)throw new Error("gl-texture2d: Missing arguments for texture2d constructor");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);if("number"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if("object"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=g(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,v=0;if(2===o.length)v=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])v=t.ALPHA;else if(2===o[2])v=t.LUMINANCE_ALPHA;else if(3===o[2])v=t.RGB;else{if(4!==o[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");v=t.RGBA}}c!==t.FLOAT||t.getExtension("OES_texture_float")||(c=t.UNSIGNED_BYTE,l=!1);var m=e.size;if(l)h=0===e.offset&&e.data.length===m?e.data:e.data.subarray(e.offset,e.offset+m);else{var y=[o[2],o[2]*o[0],1];p=a.malloc(m,r);var x=n(p,o,y,0);"float32"!==r&&"float64"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,m)}var b=g(t);t.texImage2D(t.TEXTURE_2D,0,v,o[0],o[1],0,v,c,h),l||a.free(p);return new f(t,b,o[0],o[1],v,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 g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,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=g(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 g=0,v=0,m=d(p,h.stride.slice());"float32"===f?g=t.FLOAT:"float64"===f?(g=t.FLOAT,m=!1,f="float32"):"uint8"===f?g=t.UNSIGNED_BYTE:(g=t.UNSIGNED_BYTE,m=!1,f="uint8");if(2===p.length)v=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])v=t.ALPHA;else if(2===p[2])v=t.LUMINANCE_ALPHA;else if(3===p[2])v=t.RGB;else{if(4!==p[2])throw new Error("gl-texture2d: Invalid shape for pixel coords");v=t.RGBA}p[2]}v!==t.LUMINANCE&&v!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(v=s);if(v!==s)throw new Error("gl-texture2d: Incompatible texture format for setPixels");var y=h.size,x=c.indexOf(o)<0;x&&c.push(o);if(g===l&&m)0===h.offset&&h.data.length===y?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,h.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,h.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,h.data.subarray(h.offset,h.offset+y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,h.data.subarray(h.offset,h.offset+y));else{var b;b=l===t.FLOAT?a.mallocFloat32(y):a.mallocUint8(y);var _=n(b,p,[p[2],p[2]*p[0],1]);g===t.FLOAT&&l===t.UNSIGNED_BYTE?u(_,h):i.assign(_,h),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,y)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,y)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},{ndarray:450,"ndarray-ops":444,"typedarray-pool":545}],323:[function(t,e,r){(function(r){"use strict";var n=t("pick-by-alias");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var e=t.container.getBoundingClientRect();t.canvas.width=t.width||e.right-e.left,t.canvas.height=t.height||e.bottom-e.top}}function a(t){return"function"==typeof t.getContext&&"width"in t&&"height"in t}function o(){var t=document.createElement("canvas");return 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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}(ai);di.prototype.bytesPerElement=12,kn("StructArrayLayout3f12",di);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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(ai);gi.prototype.bytesPerElement=4,kn("StructArrayLayout1ul4",gi);var vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=12*t,p=6*t;return this.int16[f+0]=e,this.int16[f+1]=r,this.int16[f+2]=n,this.int16[f+3]=i,this.int16[f+4]=a,this.int16[f+5]=o,this.uint32[p+3]=s,this.uint16[f+8]=l,this.uint16[f+9]=c,this.int16[f+10]=u,this.int16[f+11]=h,t},e}(ai);vi.prototype.bytesPerElement=24,kn("StructArrayLayout6i1ul2ui2i24",vi);var mi=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}(ai);mi.prototype.bytesPerElement=12,kn("StructArrayLayout2i2i2i12",mi);var yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(ai);yi.prototype.bytesPerElement=12,kn("StructArrayLayout2ub2f12",yi);var xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var g=this.length;return this.resize(g+1),this.emplace(g,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g){var v=22*t,m=11*t,y=44*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[m+2]=a,this.uint32[m+3]=o,this.uint32[m+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[m+7]=h,this.float32[m+8]=f,this.uint8[y+36]=p,this.uint8[y+37]=d,this.uint32[m+10]=g,t},e}(ai);xi.prototype.bytesPerElement=44,kn("StructArrayLayout2i2ui3ul3ui2f2ub1ul44",xi);var bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,m){var 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,g,v,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g,v,m,y){var x=22*t,b=11*t;return this.int16[x+0]=e,this.int16[x+1]=r,this.int16[x+2]=n,this.int16[x+3]=i,this.int16[x+4]=a,this.int16[x+5]=o,this.uint16[x+6]=s,this.uint16[x+7]=l,this.uint16[x+8]=c,this.uint16[x+9]=u,this.uint16[x+10]=h,this.uint16[x+11]=f,this.uint16[x+12]=p,this.uint16[x+13]=d,this.uint16[x+14]=g,this.uint32[b+8]=v,this.float32[b+9]=m,this.float32[b+10]=y,t},e}(ai);bi.prototype.bytesPerElement=44,kn("StructArrayLayout6i9ui1ul2f44",bi);var _i=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){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(ai);_i.prototype.bytesPerElement=4,kn("StructArrayLayout1f4",_i);var wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(ai);wi.prototype.bytesPerElement=6,kn("StructArrayLayout3i6",wi);var 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.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(ai);ki.prototype.bytesPerElement=8,kn("StructArrayLayout1ul2ui8",ki);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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(ai);Ti.prototype.bytesPerElement=6,kn("StructArrayLayout3ui6",Ti);var Ai=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(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.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(ai);Ai.prototype.bytesPerElement=4,kn("StructArrayLayout2ui4",Ai);var Mi=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){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(ai);Mi.prototype.bytesPerElement=2,kn("StructArrayLayout1ui2",Mi);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._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}(ai);Si.prototype.bytesPerElement=8,kn("StructArrayLayout2f8",Si);var 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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(ai);Ei.prototype.bytesPerElement=16,kn("StructArrayLayout4f16",Ei);var Ci=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},radius:{configurable:!0},signedDistanceFromAnchor:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorPointY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.x1.set=function(t){this._structArray.int16[this._pos2+2]=t},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.y1.set=function(t){this._structArray.int16[this._pos2+3]=t},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.x2.set=function(t){this._structArray.int16[this._pos2+4]=t},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.y2.set=function(t){this._structArray.int16[this._pos2+5]=t},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.radius.get=function(){return this._structArray.int16[this._pos2+10]},r.radius.set=function(t){this._structArray.int16[this._pos2+10]=t},r.signedDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+11]},r.signedDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+11]=t},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(ii);Ci.prototype.size=24;var Li=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ci(this,t)},e}(vi);kn("CollisionBoxArray",Li);var Pi=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.glyphStartIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.numGlyphs.set=function(t){this._structArray.uint16[this._pos2+3]=t},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.vertexStartIndex.set=function(t){this._structArray.uint32[this._pos4+2]=t},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineStartIndex.set=function(t){this._structArray.uint32[this._pos4+3]=t},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.lineLength.set=function(t){this._structArray.uint32[this._pos4+4]=t},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.segment.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.lowerSize.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.upperSize.set=function(t){this._structArray.uint16[this._pos2+12]=t},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetX.set=function(t){this._structArray.float32[this._pos4+7]=t},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.lineOffsetY.set=function(t){this._structArray.float32[this._pos4+8]=t},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.writingMode.set=function(t){this._structArray.uint8[this._pos1+36]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+37]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},Object.defineProperties(e.prototype,r),e}(ii);Pi.prototype.size=44;var Oi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Pi(this,t)},e}(xi);kn("PlacedSymbolArray",Oi);var zi=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},radialTextOffset:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorX.set=function(t){this._structArray.int16[this._pos2+0]=t},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.anchorY.set=function(t){this._structArray.int16[this._pos2+1]=t},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.rightJustifiedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+2]=t},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.centerJustifiedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+3]=t},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.leftJustifiedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+4]=t},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.verticalPlacedTextSymbolIndex.set=function(t){this._structArray.int16[this._pos2+5]=t},r.key.get=function(){return this._structArray.uint16[this._pos2+6]},r.key.set=function(t){this._structArray.uint16[this._pos2+6]=t},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+7]},r.textBoxStartIndex.set=function(t){this._structArray.uint16[this._pos2+7]=t},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxEndIndex.set=function(t){this._structArray.uint16[this._pos2+8]=t},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.iconBoxStartIndex.set=function(t){this._structArray.uint16[this._pos2+9]=t},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.iconBoxEndIndex.set=function(t){this._structArray.uint16[this._pos2+10]=t},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.featureIndex.set=function(t){this._structArray.uint16[this._pos2+11]=t},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+12]},r.numHorizontalGlyphVertices.set=function(t){this._structArray.uint16[this._pos2+12]=t},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+13]},r.numVerticalGlyphVertices.set=function(t){this._structArray.uint16[this._pos2+13]=t},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+14]},r.numIconVertices.set=function(t){this._structArray.uint16[this._pos2+14]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+8]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+8]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+9]},r.textBoxScale.set=function(t){this._structArray.float32[this._pos4+9]=t},r.radialTextOffset.get=function(){return this._structArray.float32[this._pos4+10]},r.radialTextOffset.set=function(t){this._structArray.float32[this._pos4+10]=t},Object.defineProperties(e.prototype,r),e}(ii);zi.prototype.size=44;var Ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new zi(this,t)},e}(bi);kn("SymbolInstanceArray",Ii);var Di=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={offsetX:{configurable:!0}};return r.offsetX.get=function(){return this._structArray.float32[this._pos4+0]},r.offsetX.set=function(t){this._structArray.float32[this._pos4+0]=t},Object.defineProperties(e.prototype,r),e}(ii);Di.prototype.size=4;var 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.getoffsetX=function(t){return this.float32[1*t+0]},e.prototype.get=function(t){return new Di(this,t)},e}(_i);kn("GlyphOffsetArray",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={x:{configurable:!0},y:{configurable:!0},tileUnitDistanceFromAnchor:{configurable:!0}};return r.x.get=function(){return this._structArray.int16[this._pos2+0]},r.x.set=function(t){this._structArray.int16[this._pos2+0]=t},r.y.get=function(){return this._structArray.int16[this._pos2+1]},r.y.set=function(t){this._structArray.int16[this._pos2+1]=t},r.tileUnitDistanceFromAnchor.get=function(){return this._structArray.int16[this._pos2+2]},r.tileUnitDistanceFromAnchor.set=function(t){this._structArray.int16[this._pos2+2]=t},Object.defineProperties(e.prototype,r),e}(ii);Fi.prototype.size=6;var Bi=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.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e.prototype.get=function(t){return new Fi(this,t)},e}(wi);kn("SymbolLineVertexArray",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.featureIndex.set=function(t){this._structArray.uint32[this._pos4+0]=t},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.sourceLayerIndex.set=function(t){this._structArray.uint16[this._pos2+2]=t},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},r.bucketIndex.set=function(t){this._structArray.uint16[this._pos2+3]=t},Object.defineProperties(e.prototype,r),e}(ii);Ni.prototype.size=8;var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new Ni(this,t)},e}(ki);kn("FeatureIndexArray",ji);var Ui=oi([{name:"a_pos",components:2,type:"Int16"}],4).members,Vi=function(t){void 0===t&&(t=[]),this.segments=t};function qi(t,e){return 256*(t=c(Math.floor(t),0,255))+c(Math.floor(e),0,255)}Vi.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>Vi.MAX_VERTEX_ARRAY_LENGTH&&w("Max vertices per segment is "+Vi.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>Vi.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},Vi.prototype.get=function(){return this.segments},Vi.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy()}},Vi.simpleSegment=function(t,e,r,n){return new Vi([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])},Vi.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,kn("SegmentVector",Vi);var Hi=function(){this.ids=[],this.positions=[],this.indexed=!1};function Gi(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Hi.prototype.add=function(t,e,r,n){this.ids.push(t),this.positions.push(e,r,n)},Hi.prototype.getPositions=function(t){for(var e=0,r=this.ids.length-1;e<r;){var n=e+r>>1;this.ids[n]>=t?r=n:e=n+1}for(var i=[];this.ids[e]===t;){var a=this.positions[3*e],o=this.positions[3*e+1],s=this.positions[3*e+2];i.push({index:a,start:o,end:s}),e++}return i},Hi.serialize=function(t,e){var r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return function t(e,r,n,i){if(!(n>=i)){for(var a=e[n+i>>1],o=n-1,s=i+1;;){do{o++}while(e[o]<a);do{s--}while(e[s]>a);if(o>=s)break;Gi(e,o,s),Gi(r,3*o,3*s),Gi(r,3*o+1,3*s+1),Gi(r,3*o+2,3*s+2)}t(e,r,n,s),t(e,r,s+1,i)}}(r,n,0,r.length-1),e.push(r.buffer,n.buffer),{ids:r,positions:n}},Hi.deserialize=function(t){var e=new Hi;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e},kn("FeaturePositionMap",Hi);var Yi=function(t,e){this.gl=t.gl,this.location=e},Wi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Yi),Xi=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Yi),Zi=function(t){function 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e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Yi);function ea(t){return[qi(255*t.r,255*t.g),qi(255*t.b,255*t.a)]}var ra=function(t,e,r){this.value=t,this.names=e,this.uniformNames=this.names.map(function(t){return"u_"+t}),this.type=r,this.maxValue=-1/0};ra.prototype.defines=function(){return this.names.map(function(t){return"#define HAS_UNIFORM_u_"+t})},ra.prototype.setConstantPatternPositions=function(){},ra.prototype.populatePaintArray=function(){},ra.prototype.updatePaintArray=function(){},ra.prototype.upload=function(){},ra.prototype.destroy=function(){},ra.prototype.setUniforms=function(t,e,r,n){e.set(n.constantOr(this.value))},ra.prototype.getBinding=function(t,e){return"color"===this.type?new $i(t,e):new Xi(t,e)},ra.serialize=function(t){var e=t.value,r=t.names,n=t.type;return{value:An(e),names:r,type:n}},ra.deserialize=function(t){var e=t.value,r=t.names,n=t.type;return new ra(Mn(e),r,n)};var na=function(t,e,r){this.value=t,this.names=e,this.uniformNames=this.names.map(function(t){return"u_"+t}),this.type=r,this.maxValue=-1/0,this.patternPositions={patternTo:null,patternFrom:null}};na.prototype.defines=function(){return this.names.map(function(t){return"#define HAS_UNIFORM_u_"+t})},na.prototype.populatePaintArray=function(){},na.prototype.updatePaintArray=function(){},na.prototype.upload=function(){},na.prototype.destroy=function(){},na.prototype.setConstantPatternPositions=function(t,e){this.patternPositions.patternTo=t.tlbr,this.patternPositions.patternFrom=e.tlbr},na.prototype.setUniforms=function(t,e,r,n,i){var a=this.patternPositions;"u_pattern_to"===i&&a.patternTo&&e.set(a.patternTo),"u_pattern_from"===i&&a.patternFrom&&e.set(a.patternFrom)},na.prototype.getBinding=function(t,e){return new Ki(t,e)};var ia=function(t,e,r,n){this.expression=t,this.names=e,this.type=r,this.uniformNames=this.names.map(function(t){return"a_"+t}),this.maxValue=-1/0,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}}),this.paintVertexArray=new n};ia.prototype.defines=function(){return[]},ia.prototype.setConstantPatternPositions=function(){},ia.prototype.populatePaintArray=function(t,e){var r=this.paintVertexArray,n=r.length;r.reserve(t);var i=this.expression.evaluate(new Un(0),e,{});if("color"===this.type)for(var a=ea(i),o=n;o<t;o++)r.emplaceBack(a[0],a[1]);else{for(var s=n;s<t;s++)r.emplaceBack(i);this.maxValue=Math.max(this.maxValue,i)}},ia.prototype.updatePaintArray=function(t,e,r,n){var i=this.paintVertexArray,a=this.expression.evaluate({zoom:0},r,n);if("color"===this.type)for(var o=ea(a),s=t;s<e;s++)i.emplace(s,o[0],o[1]);else{for(var l=t;l<e;l++)i.emplace(l,a);this.maxValue=Math.max(this.maxValue,a)}},ia.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))},ia.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},ia.prototype.setUniforms=function(t,e){e.set(0)},ia.prototype.getBinding=function(t,e){return new Xi(t,e)};var aa=function(t,e,r,n,i,a){this.expression=t,this.names=e,this.uniformNames=this.names.map(function(t){return"u_"+t+"_t"}),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=-1/0;var o=a;this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}}),this.paintVertexArray=new o};aa.prototype.defines=function(){return[]},aa.prototype.setConstantPatternPositions=function(){},aa.prototype.populatePaintArray=function(t,e){var r=this.paintVertexArray,n=r.length;r.reserve(t);var i=this.expression.evaluate(new Un(this.zoom),e,{}),a=this.expression.evaluate(new Un(this.zoom+1),e,{});if("color"===this.type)for(var o=ea(i),s=ea(a),l=n;l<t;l++)r.emplaceBack(o[0],o[1],s[0],s[1]);else{for(var c=n;c<t;c++)r.emplaceBack(i,a);this.maxValue=Math.max(this.maxValue,i,a)}},aa.prototype.updatePaintArray=function(t,e,r,n){var i=this.paintVertexArray,a=this.expression.evaluate({zoom:this.zoom},r,n),o=this.expression.evaluate({zoom:this.zoom+1},r,n);if("color"===this.type)for(var s=ea(a),l=ea(o),c=t;c<e;c++)i.emplace(c,s[0],s[1],l[0],l[1]);else{for(var u=t;u<e;u++)i.emplace(u,a,o);this.maxValue=Math.max(this.maxValue,a,o)}},aa.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))},aa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},aa.prototype.interpolationFactor=function(t){return this.useIntegerZoom?this.expression.interpolationFactor(Math.floor(t),this.zoom,this.zoom+1):this.expression.interpolationFactor(t,this.zoom,this.zoom+1)},aa.prototype.setUniforms=function(t,e,r){e.set(this.interpolationFactor(r.zoom))},aa.prototype.getBinding=function(t,e){return new Xi(t,e)};var oa=function(t,e,r,n,i,a,o){this.expression=t,this.names=e,this.type=r,this.uniformNames=this.names.map(function(t){return"u_"+t+"_t"}),this.useIntegerZoom=n,this.zoom=i,this.maxValue=-1/0,this.layerId=o,this.paintVertexAttributes=e.map(function(t){return{name:"a_"+t,type:"Uint16",components:4,offset:0}}),this.zoomInPaintVertexArray=new a,this.zoomOutPaintVertexArray=new a};oa.prototype.defines=function(){return[]},oa.prototype.setConstantPatternPositions=function(){},oa.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray,i=this.zoomOutPaintVertexArray,a=this.layerId,o=n.length;if(n.reserve(t),i.reserve(t),r&&e.patterns&&e.patterns[a]){var s=e.patterns[a],l=s.min,c=s.mid,u=s.max,h=r[l],f=r[c],p=r[u];if(!h||!f||!p)return;for(var d=o;d<t;d++)n.emplaceBack(f.tl[0],f.tl[1],f.br[0],f.br[1],h.tl[0],h.tl[1],h.br[0],h.br[1]),i.emplaceBack(f.tl[0],f.tl[1],f.br[0],f.br[1],p.tl[0],p.tl[1],p.br[0],p.br[1])}},oa.prototype.updatePaintArray=function(t,e,r,n,i){var a=this.zoomInPaintVertexArray,o=this.zoomOutPaintVertexArray,s=this.layerId;if(i&&r.patterns&&r.patterns[s]){var l=r.patterns[s],c=l.min,u=l.mid,h=l.max,f=i[c],p=i[u],d=i[h];if(!f||!p||!d)return;for(var g=t;g<e;g++)a.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],f.tl[0],f.tl[1],f.br[0],f.br[1]),o.emplace(g,p.tl[0],p.tl[1],p.br[0],p.br[1],d.tl[0],d.tl[1],d.br[0],d.br[1])}},oa.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},oa.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()},oa.prototype.setUniforms=function(t,e){e.set(0)},oa.prototype.getBinding=function(t,e){return new Xi(t,e)};var sa=function(){this.binders={},this.cacheKey="",this._buffers=[],this._featureMap=new 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2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=Fo(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 Bo=No;function No(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(jo,this,e),this.length=this._features.length}function jo(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 Uo(t,e,r){if(3===t){var n=new Bo(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}No.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 Io(this._pbf,e,this.extent,this._keys,this._values)};var Vo={VectorTile:function(t,e){this.layers=t.readFields(Uo,{},e)},VectorTileFeature:Io,VectorTileLayer:Bo},qo=Vo.VectorTileFeature.types,Ho=Math.pow(2,13);function Go(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ho)+o,i*Ho*2,a*Ho*2,Math.round(s))}var Yo=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 ui,this.indexArray=new Ti,this.programConfigurations=new la(zo,t.layers,t.zoom),this.segments=new Vi,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function Wo(t,e){return t.x===e.x&&(t.x<0||t.x>ha)||t.y===e.y&&(t.y<0||t.y>ha)}function Xo(t){return t.every(function(t){return t.x<0})||t.every(function(t){return t.x>ha})||t.every(function(t){return t.y<0})||t.every(function(t){return t.y>ha})}Yo.prototype.populate=function(t,e){this.features=[],this.hasPattern=Eo("fill-extrusion",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.feature,o=i.index,s=i.sourceLayerIndex;if(this.layers[0]._featureFilter(new Un(this.zoom),a)){var l=pa(a),c={sourceLayerIndex:s,index:o,geometry:l,properties:a.properties,type:a.type,patterns:{}};void 0!==a.id&&(c.id=a.id),this.hasPattern?this.features.push(Co("fill-extrusion",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(a,l,o,s,this.index,!0)}}},Yo.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var i=n[r],a=i.geometry;this.addFeature(i,a,i.index,e)}},Yo.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Yo.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Yo.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Yo.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,zo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Yo.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Yo.prototype.addFeature=function(t,e,r,n){for(var i=0,a=Mo(e,500);i<a.length;i+=1){for(var o=a[i],s=0,l=0,c=o;l<c.length;l+=1)s+=c[l].length;for(var u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,f=o;h<f.length;h+=1){var p=f[h];if(0!==p.length&&!Xo(p))for(var d=0,g=0;g<p.length;g++){var v=p[g];if(g>=1){var m=p[g-1];if(!Wo(v,m)){u.vertexLength+4>Vi.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var y=v.sub(m)._perp()._unit(),x=m.dist(v);d+x>32768&&(d=0),Go(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,0,d),Go(this.layoutVertexArray,v.x,v.y,y.x,y.y,0,1,d),d+=x,Go(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,0,d),Go(this.layoutVertexArray,m.x,m.y,y.x,y.y,0,1,d);var b=u.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),u.vertexLength+=4,u.primitiveLength+=2}}}}if(u.vertexLength+s>Vi.MAX_VERTEX_ARRAY_LENGTH&&(u=this.segments.prepareSegment(s,this.layoutVertexArray,this.indexArray)),"Polygon"===qo[t.type]){for(var _=[],w=[],k=u.vertexLength,T=0,A=o;T<A.length;T+=1){var M=A[T];if(0!==M.length){M!==o[0]&&w.push(_.length/2);for(var S=0;S<M.length;S++){var E=M[S];Go(this.layoutVertexArray,E.x,E.y,0,0,1,1,0),_.push(E.x),_.push(E.y)}}}for(var C=Ka(_,w),L=0;L<C.length;L+=3)this.indexArray.emplaceBack(k+C[L],k+C[L+2],k+C[L+1]);u.primitiveLength+=C.length/3,u.vertexLength+=s}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,n)},kn("FillExtrusionBucket",Yo,{omit:["layers","features"]});var Zo={paint:new ei({"fill-extrusion-opacity":new Jn(It["paint_fill-extrusion"]["fill-extrusion-opacity"]),"fill-extrusion-color":new Kn(It["paint_fill-extrusion"]["fill-extrusion-color"]),"fill-extrusion-translate":new Jn(It["paint_fill-extrusion"]["fill-extrusion-translate"]),"fill-extrusion-translate-anchor":new Jn(It["paint_fill-extrusion"]["fill-extrusion-translate-anchor"]),"fill-extrusion-pattern":new $n(It["paint_fill-extrusion"]["fill-extrusion-pattern"]),"fill-extrusion-height":new Kn(It["paint_fill-extrusion"]["fill-extrusion-height"]),"fill-extrusion-base":new Kn(It["paint_fill-extrusion"]["fill-extrusion-base"]),"fill-extrusion-vertical-gradient":new Jn(It["paint_fill-extrusion"]["fill-extrusion-vertical-gradient"])})},Jo=function(t){function e(e){t.call(this,e,Zo)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Yo(t)},e.prototype.queryRadius=function(){return Ea(this.paint.get("fill-extrusion-translate"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=Ca(t,this.paint.get("fill-extrusion-translate"),this.paint.get("fill-extrusion-translate-anchor"),o.angle,s),u=this.paint.get("fill-extrusion-height").evaluate(e,r),h=this.paint.get("fill-extrusion-base").evaluate(e,r),f=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,0,1];Da(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,h=n[8]*r,f=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,v=t;g<v.length;g+=1){for(var m=[],y=[],x=0,b=v[g];x<b.length;x+=1){var _=b[x],w=_.x,k=_.y,T=n[0]*w+n[4]*k+n[12],A=n[1]*w+n[5]*k+n[13],M=n[2]*w+n[6]*k+n[14],S=n[3]*w+n[7]*k+n[15],E=M+c,C=S+u,L=T+h,P=A+f,O=M+p,z=S+d,I=new i((T+s)/C,(A+l)/C);I.z=E/C,m.push(I);var D=new i(L/z,P/z);D.z=O/z,y.push(D)}a.push(m),o.push(y)}return[a,o]}(n,h,u,l);return function(t,e,r){var n=1/0;ya(r,e)&&(n=$o(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];va(r,h)&&(n=Math.min(n,$o(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}(ri);function Ko(t,e){return t.x*e.x+t.y*e.y}function $o(t,e){if(1===t.length){var r=e[0],n=e[1],i=e[3],a=t[0],o=n.sub(r),s=i.sub(r),l=a.sub(r),c=Ko(o,o),u=Ko(o,s),h=Ko(s,s),f=Ko(l,o),p=Ko(l,s),d=c*h-u*u,g=(h*f-u*p)/d,v=(c*p-u*f)/d,m=1-g-v;return r.z*m+n.z*g+i.z*v}for(var y=1/0,x=0,b=e;x<b.length;x+=1){var _=b[x];y=Math.min(y,_.z)}return y}var Qo=oi([{name:"a_pos_normal",components:2,type:"Int16"},{name:"a_data",components:4,type:"Uint8"}],4).members,ts=Vo.VectorTileFeature.types,es=63,rs=Math.cos(Math.PI/180*37.5),ns=.5,is=Math.pow(2,14)/ns;function as(t,e,r,n,i,a,o){t.emplaceBack((e.x<<1)+(n?1:0),(e.y<<1)+(i?1:0),Math.round(es*r.x)+128,Math.round(es*r.y)+128,1+(0===a?0:a<0?-1:1)|(o*ns&63)<<2,o*ns>>6)}var os=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.features=[],this.hasPattern=!1,this.layoutVertexArray=new hi,this.indexArray=new Ti,this.programConfigurations=new la(Qo,t.layers,t.zoom),this.segments=new Vi,this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id})};function ss(t,e){return(t/e.tileTotal*(e.end-e.start)+e.start)*(is-1)}os.prototype.populate=function(t,e){this.features=[],this.hasPattern=Eo("line",this.layers,e);for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.feature,o=i.index,s=i.sourceLayerIndex;if(this.layers[0]._featureFilter(new Un(this.zoom),a)){var l=pa(a),c={sourceLayerIndex:s,index:o,geometry:l,properties:a.properties,type:a.type,patterns:{}};void 0!==a.id&&(c.id=a.id),this.hasPattern?this.features.push(Co("line",this.layers,c,this.zoom,e)):this.addFeature(c,l,o,{}),e.featureIndex.insert(a,l,o,s,this.index)}}},os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},os.prototype.addFeatures=function(t,e){for(var r=0,n=this.features;r<n.length;r+=1){var i=n[r],a=i.geometry;this.addFeature(i,a,i.index,e)}},os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Qo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},os.prototype.addFeature=function(t,e,r,n){for(var i=this.layers[0].layout,a=i.get("line-join").evaluate(t,{}),o=i.get("line-cap"),s=i.get("line-miter-limit"),l=i.get("line-round-limit"),c=0,u=e;c<u.length;c+=1){var h=u[c];this.addLine(h,t,a,o,s,l,r,n)}},os.prototype.addLine=function(t,e,r,n,i,a,o,s){var l=null;e.properties&&e.properties.hasOwnProperty("mapbox_clip_start")&&e.properties.hasOwnProperty("mapbox_clip_end")&&(l={start:e.properties.mapbox_clip_start,end:e.properties.mapbox_clip_end,tileTotal:void 0});for(var c="Polygon"===ts[e.type],u=t.length;u>=2&&t[u-1].equals(t[u-2]);)u--;for(var h=0;h<u-1&&t[h].equals(t[h+1]);)h++;if(!(u<(c?3:2))){l&&(l.tileTotal=function(t,e,r){for(var n,i,a=0,o=h;o<r-1;o++)n=t[o],i=t[o+1],a+=n.dist(i);return a}(t,0,u)),"bevel"===r&&(i=1.05);var f=ha/(512*this.overscaling)*15,p=t[h],d=this.segments.prepareSegment(10*u,this.layoutVertexArray,this.indexArray);this.distance=0;var g,v,m,y=n,x=c?"butt":n,b=!0,_=void 0,w=void 0,k=void 0,T=void 0;this.e1=this.e2=this.e3=-1,c&&(g=t[u-2],T=p.sub(g)._unit()._perp());for(var A=h;A<u;A++)if(!(w=c&&A===u-1?t[h+1]:t[A+1])||!t[A].equals(w)){T&&(k=T),g&&(_=g),g=t[A],T=w?w.sub(g)._unit()._perp():k;var M=(k=k||T).add(T);0===M.x&&0===M.y||M._unit();var S=M.x*T.x+M.y*T.y,E=0!==S?1/S:1/0,C=S<rs&&_&&w;if(C&&A>h){var L=g.dist(_);if(L>2*f){var P=g.sub(g.sub(_)._mult(f/L)._round());this.distance+=P.dist(_),this.addCurrentVertex(P,this.distance,k.mult(1),0,0,!1,d,l),_=P}}var O=_&&w,z=O?r:w?y:x;if(O&&"round"===z&&(E<a?z="miter":E<=2&&(z="fakeround")),"miter"===z&&E>i&&(z="bevel"),"bevel"===z&&(E>2&&(z="flipbevel"),E<i&&(z="miter")),_&&(this.distance+=g.dist(_)),"miter"===z)M._mult(E),this.addCurrentVertex(g,this.distance,M,0,0,!1,d,l);else if("flipbevel"===z){if(E>100)M=T.clone().mult(-1);else{var I=k.x*T.y-k.y*T.x>0?-1:1,D=E*k.add(T).mag()/k.sub(T).mag();M._perp()._mult(D*I)}this.addCurrentVertex(g,this.distance,M,0,0,!1,d,l),this.addCurrentVertex(g,this.distance,M.mult(-1),0,0,!1,d,l)}else if("bevel"===z||"fakeround"===z){var R=k.x*T.y-k.y*T.x>0,F=-Math.sqrt(E*E-1);if(R?(m=0,v=F):(v=0,m=F),b||this.addCurrentVertex(g,this.distance,k,v,m,!1,d,l),"fakeround"===z){for(var B=Math.floor(8*(.5-(S-.5))),N=void 0,j=0;j<B;j++)N=T.mult((j+1)/(B+1))._add(k)._unit(),this.addPieSliceVertex(g,this.distance,N,R,d,l);this.addPieSliceVertex(g,this.distance,M,R,d,l);for(var U=B-1;U>=0;U--)N=k.mult((U+1)/(B+1))._add(T)._unit(),this.addPieSliceVertex(g,this.distance,N,R,d,l)}w&&this.addCurrentVertex(g,this.distance,T,-v,-m,!1,d,l)}else"butt"===z?(b||this.addCurrentVertex(g,this.distance,k,0,0,!1,d,l),w&&this.addCurrentVertex(g,this.distance,T,0,0,!1,d,l)):"square"===z?(b||(this.addCurrentVertex(g,this.distance,k,1,1,!1,d,l),this.e1=this.e2=-1),w&&this.addCurrentVertex(g,this.distance,T,-1,-1,!1,d,l)):"round"===z&&(b||(this.addCurrentVertex(g,this.distance,k,0,0,!1,d,l),this.addCurrentVertex(g,this.distance,k,1,1,!0,d,l),this.e1=this.e2=-1),w&&(this.addCurrentVertex(g,this.distance,T,-1,-1,!0,d,l),this.addCurrentVertex(g,this.distance,T,0,0,!1,d,l)));if(C&&A<u-1){var V=g.dist(w);if(V>2*f){var q=g.add(w.sub(g)._mult(f/V)._round());this.distance+=q.dist(g),this.addCurrentVertex(q,this.distance,T.mult(1),0,0,!1,d,l),g=q}}b=!1}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,e,o,s)}},os.prototype.addCurrentVertex=function(t,e,r,n,i,a,o,s){var l,c=this.layoutVertexArray,u=this.indexArray;s&&(e=ss(e,s)),l=r.clone(),n&&l._sub(r.perp()._mult(n)),as(c,t,l,a,!1,n,e),this.e3=o.vertexLength++,this.e1>=0&&this.e2>=0&&(u.emplaceBack(this.e1,this.e2,this.e3),o.primitiveLength++),this.e1=this.e2,this.e2=this.e3,l=r.mult(-1),i&&l._sub(r.perp()._mult(i)),as(c,t,l,a,!0,-i,e),this.e3=o.vertexLength++,this.e1>=0&&this.e2>=0&&(u.emplaceBack(this.e1,this.e2,this.e3),o.primitiveLength++),this.e1=this.e2,this.e2=this.e3,e>is/2&&!s&&(this.distance=0,this.addCurrentVertex(t,this.distance,r,n,i,a,o))},os.prototype.addPieSliceVertex=function(t,e,r,n,i,a){r=r.mult(n?-1:1);var o=this.layoutVertexArray,s=this.indexArray;a&&(e=ss(e,a)),as(o,t,r,!1,n,0,e),this.e3=i.vertexLength++,this.e1>=0&&this.e2>=0&&(s.emplaceBack(this.e1,this.e2,this.e3),i.primitiveLength++),n?this.e2=this.e3:this.e1=this.e3},kn("LineBucket",os,{omit:["layers","features"]});var ls=new ei({"line-cap":new Jn(It.layout_line["line-cap"]),"line-join":new Kn(It.layout_line["line-join"]),"line-miter-limit":new Jn(It.layout_line["line-miter-limit"]),"line-round-limit":new Jn(It.layout_line["line-round-limit"])}),cs={paint:new ei({"line-opacity":new Kn(It.paint_line["line-opacity"]),"line-color":new Kn(It.paint_line["line-color"]),"line-translate":new Jn(It.paint_line["line-translate"]),"line-translate-anchor":new Jn(It.paint_line["line-translate-anchor"]),"line-width":new Kn(It.paint_line["line-width"]),"line-gap-width":new Kn(It.paint_line["line-gap-width"]),"line-offset":new Kn(It.paint_line["line-offset"]),"line-blur":new Kn(It.paint_line["line-blur"]),"line-dasharray":new Qn(It.paint_line["line-dasharray"]),"line-pattern":new $n(It.paint_line["line-pattern"]),"line-gradient":new ti(It.paint_line["line-gradient"])}),layout:ls},us=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Un(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=h({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Kn))(cs.paint.properties["line-width"].specification);us.useIntegerZoom=!0;var hs=function(t){function e(e){t.call(this,e,cs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){"line-gradient"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values["line-gradient"].value.expression;this.gradient=Ya(t,"lineProgress"),this.gradientTexture=null},e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,e),this.paint._values["line-floorwidth"]=us.possiblyEvaluate(this._transitioningPaint._values["line-width"].value,e)},e.prototype.createBucket=function(t){return new os(t)},e.prototype.queryRadius=function(t){var e=t,r=fs(Sa("line-width",this,e),Sa("line-gap-width",this,e)),n=Sa("line-offset",this,e);return r/2+Math.abs(n)+Ea(this.paint.get("line-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=Ca(t,this.paint.get("line-translate"),this.paint.get("line-translate-anchor"),o.angle,s),c=s/2*fs(this.paint.get("line-width").evaluate(e,r),this.paint.get("line-gap-width").evaluate(e,r)),u=this.paint.get("line-offset").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],h=o[l+1],f=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:h.sub(u)._unit()._perp(),d=f._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(Aa(t,i[a]))return!0;if(xa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(ri);function fs(t,e){return e>0?e+2*t:t}var ps=oi([{name:"a_pos_offset",components:4,type:"Int16"},{name:"a_data",components:4,type:"Uint16"}]),ds=oi([{name:"a_projected_pos",components:3,type:"Float32"}],4),gs=(oi([{name:"a_fade_opacity",components:1,type:"Uint32"}],4),oi([{name:"a_placed",components:2,type:"Uint8"},{name:"a_shift",components:2,type:"Float32"}])),vs=(oi([{type:"Int16",name:"anchorPointX"},{type:"Int16",name:"anchorPointY"},{type:"Int16",name:"x1"},{type:"Int16",name:"y1"},{type:"Int16",name:"x2"},{type:"Int16",name:"y2"},{type:"Uint32",name:"featureIndex"},{type:"Uint16",name:"sourceLayerIndex"},{type:"Uint16",name:"bucketIndex"},{type:"Int16",name:"radius"},{type:"Int16",name:"signedDistanceFromAnchor"}]),oi([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4)),ms=oi([{name:"a_pos",components:2,type:"Int16"},{name:"a_anchor_pos",components:2,type:"Int16"},{name:"a_extrude",components:2,type:"Int16"}],4);function ys(t,e,r){return t.sections.forEach(function(t){t.text=function(t,e,r){var n=e.layout.get("text-transform").evaluate(r,{});return"uppercase"===n?t=t.toLocaleUpperCase():"lowercase"===n&&(t=t.toLocaleLowerCase()),jn.applyArabicShaping&&(t=jn.applyArabicShaping(t)),t}(t.text,e,r)}),t}oi([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Uint16",name:"glyphStartIndex"},{type:"Uint16",name:"numGlyphs"},{type:"Uint32",name:"vertexStartIndex"},{type:"Uint32",name:"lineStartIndex"},{type:"Uint32",name:"lineLength"},{type:"Uint16",name:"segment"},{type:"Uint16",name:"lowerSize"},{type:"Uint16",name:"upperSize"},{type:"Float32",name:"lineOffsetX"},{type:"Float32",name:"lineOffsetY"},{type:"Uint8",name:"writingMode"},{type:"Uint8",name:"hidden"},{type:"Uint32",name:"crossTileID"}]),oi([{type:"Int16",name:"anchorX"},{type:"Int16",name:"anchorY"},{type:"Int16",name:"rightJustifiedTextSymbolIndex"},{type:"Int16",name:"centerJustifiedTextSymbolIndex"},{type:"Int16",name:"leftJustifiedTextSymbolIndex"},{type:"Int16",name:"verticalPlacedTextSymbolIndex"},{type:"Uint16",name:"key"},{type:"Uint16",name:"textBoxStartIndex"},{type:"Uint16",name:"textBoxEndIndex"},{type:"Uint16",name:"iconBoxStartIndex"},{type:"Uint16",name:"iconBoxEndIndex"},{type:"Uint16",name:"featureIndex"},{type:"Uint16",name:"numHorizontalGlyphVertices"},{type:"Uint16",name:"numVerticalGlyphVertices"},{type:"Uint16",name:"numIconVertices"},{type:"Uint32",name:"crossTileID"},{type:"Float32",name:"textBoxScale"},{type:"Float32",name:"radialTextOffset"}]),oi([{type:"Float32",name:"offsetX"}]),oi([{type:"Int16",name:"x"},{type:"Int16",name:"y"},{type:"Int16",name:"tileUnitDistanceFromAnchor"}]);var xs={"!":"\ufe15","#":"\uff03",$:"\uff04","%":"\uff05","&":"\uff06","(":"\ufe35",")":"\ufe36","*":"\uff0a","+":"\uff0b",",":"\ufe10","-":"\ufe32",".":"\u30fb","/":"\uff0f",":":"\ufe13",";":"\ufe14","<":"\ufe3f","=":"\uff1d",">":"\ufe40","?":"\ufe16","@":"\uff20","[":"\ufe47","\\":"\uff3c","]":"\ufe48","^":"\uff3e",_:"\ufe33","`":"\uff40","{":"\ufe37","|":"\u2015","}":"\ufe38","~":"\uff5e","\xa2":"\uffe0","\xa3":"\uffe1","\xa5":"\uffe5","\xa6":"\uffe4","\xac":"\uffe2","\xaf":"\uffe3","\u2013":"\ufe32","\u2014":"\ufe31","\u2018":"\ufe43","\u2019":"\ufe44","\u201c":"\ufe41","\u201d":"\ufe42","\u2026":"\ufe19","\u2027":"\u30fb","\u20a9":"\uffe6","\u3001":"\ufe11","\u3002":"\ufe12","\u3008":"\ufe3f","\u3009":"\ufe40","\u300a":"\ufe3d","\u300b":"\ufe3e","\u300c":"\ufe41","\u300d":"\ufe42","\u300e":"\ufe43","\u300f":"\ufe44","\u3010":"\ufe3b","\u3011":"\ufe3c","\u3014":"\ufe39","\u3015":"\ufe3a","\u3016":"\ufe17","\u3017":"\ufe18","\uff01":"\ufe15","\uff08":"\ufe35","\uff09":"\ufe36","\uff0c":"\ufe10","\uff0d":"\ufe32","\uff0e":"\u30fb","\uff1a":"\ufe13","\uff1b":"\ufe14","\uff1c":"\ufe3f","\uff1e":"\ufe40","\uff1f":"\ufe16","\uff3b":"\ufe47","\uff3d":"\ufe48","\uff3f":"\ufe33","\uff5b":"\ufe37","\uff5c":"\u2015","\uff5d":"\ufe38","\uff5f":"\ufe35","\uff60":"\ufe36","\uff61":"\ufe12","\uff62":"\ufe41","\uff63":"\ufe42"},bs=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);kn("Anchor",bs);var _s=256;function ws(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new Un(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new Un(s)),maxSize:r.evaluate(new Un(l)),interpolationType:i}}function ks(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return"source"===t.kind?a/_s:"composite"===t.kind?Ee(a/_s,o/_s,i):n}function Ts(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?c(Xe.interpolationFactor(i,e,a,o),0,1):0;"camera"===t.kind?n=Ee(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var As=Object.freeze({getSizeData:ws,evaluateSizeForFeature:ks,evaluateSizeForZoom:Ts,SIZE_PACK_FACTOR:_s}),Ms=Vo.VectorTileFeature.types,Ss=[{name:"a_fade_opacity",components:1,type:"Uint8",offset:0}];function Es(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,s?s[0]:0,s?s[1]:0)}function Cs(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)}var Ls=function(t){this.layoutVertexArray=new pi,this.indexArray=new Ti,this.programConfigurations=t,this.segments=new Vi,this.dynamicLayoutVertexArray=new di,this.opacityVertexArray=new gi,this.placedSymbolArray=new Oi};Ls.prototype.upload=function(t,e,r,n){r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ps.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,ds.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,Ss,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t)},Ls.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},kn("SymbolBuffers",Ls);var Ps=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Vi,this.collisionVertexArray=new yi};Ps.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,gs.members,!0)},Ps.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},kn("CollisionBuffers",Ps);var Os=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;var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=ws(this.zoom,e["text-size"]),this.iconSizeData=ws(this.zoom,e["icon-size"]);var r=this.layers[0].layout,n=r.get("symbol-sort-key"),i=r.get("symbol-z-order");this.sortFeaturesByKey="viewport-y"!==i&&void 0!==n.constantOr(1);var a="viewport-y"===i||"auto"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get("text-allow-overlap")||r.get("icon-allow-overlap")||r.get("text-ignore-placement")||r.get("icon-ignore-placement")),this.stateDependentLayerIds=this.layers.filter(function(t){return t.isStateDependent()}).map(function(t){return t.id}),this.sourceID=t.sourceID};Os.prototype.createArrays=function(){this.text=new Ls(new la(ps.members,this.layers,this.zoom,function(t){return/^text/.test(t)})),this.icon=new Ls(new la(ps.members,this.layers,this.zoom,function(t){return/^icon/.test(t)})),this.collisionBox=new Ps(mi,vs.members,Ai),this.collisionCircle=new Ps(mi,ms.members,Ti),this.glyphOffsetArray=new Ri,this.lineVertexArray=new Bi,this.symbolInstances=new Ii},Os.prototype.calculateGlyphDependencies=function(t,e,r,n){for(var i=0;i<t.length;i++)if(e[t.charCodeAt(i)]=!0,r&&n){var a=xs[t.charAt(i)];a&&(e[a.charCodeAt(0)]=!0)}},Os.prototype.populate=function(t,e){var r=this.layers[0],n=r.layout,i=n.get("text-font"),a=n.get("text-field"),o=n.get("icon-image"),s=("constant"!==a.value.kind||a.value.value.toString().length>0)&&("constant"!==i.value.kind||i.value.value.length>0),l="constant"!==o.value.kind||o.value.value&&o.value.value.length>0,c=n.get("symbol-sort-key");if(this.features=[],s||l){for(var u=e.iconDependencies,h=e.glyphDependencies,f=new Un(this.zoom),p=0,d=t;p<d.length;p+=1){var g=d[p],v=g.feature,m=g.index,y=g.sourceLayerIndex;if(r._featureFilter(f,v)){var x=void 0;if(s){var b=r.getValueAndResolveTokens("text-field",v);x=ys(b instanceof oe?b:oe.fromString(b),r,v)}var _=void 0;if(l&&(_=r.getValueAndResolveTokens("icon-image",v)),x||_){var w=this.sortFeaturesByKey?c.evaluate(v,{}):void 0,k={text:x,icon:_,index:m,sourceLayerIndex:y,geometry:pa(v),properties:v.properties,type:Ms[v.type],sortKey:w};if(void 0!==v.id&&(k.id=v.id),this.features.push(k),_&&(u[_]=!0),x)for(var T=i.evaluate(v,{}).join(","),A="map"===n.get("text-rotation-alignment")&&"point"!==n.get("symbol-placement"),M=0,S=x.sections;M<S.length;M+=1){var E=S[M],C=Cn(x.toString()),L=E.fontStack||T,P=h[L]=h[L]||{};this.calculateGlyphDependencies(E.text,P,A,C)}}}}"line"===n.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 g=s(p,d,h),v=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(f,n[v].geometry,!0)]=v,n[g].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})}},Os.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))},Os.prototype.isEmpty=function(){return 0===this.symbolInstances.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.collisionBox.upload(t),this.collisionCircle.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},Os.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.collisionBox.destroy(),this.collisionCircle.destroy()},Os.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}},Os.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c){for(var u=t.indexArray,h=t.layoutVertexArray,f=t.dynamicLayoutVertexArray,p=t.segments.prepareSegment(4*e.length,t.layoutVertexArray,t.indexArray,a.sortKey),d=this.glyphOffsetArray.length,g=p.vertexLength,v=0,m=e;v<m.length;v+=1){var y=m[v],x=y.tl,b=y.tr,_=y.bl,w=y.br,k=y.tex,T=p.vertexLength,A=y.glyphOffset[1];Es(h,s.x,s.y,x.x,A+x.y,k.x,k.y,r),Es(h,s.x,s.y,b.x,A+b.y,k.x+k.w,k.y,r),Es(h,s.x,s.y,_.x,A+_.y,k.x,k.y+k.h,r),Es(h,s.x,s.y,w.x,A+w.y,k.x+k.w,k.y+k.h,r),Cs(f,s,0),u.emplaceBack(T,T+1,T+2),u.emplaceBack(T+1,T+2,T+3),p.vertexLength+=4,p.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(y.glyphOffset[0])}t.placedSymbolArray.emplaceBack(s.x,s.y,d,this.glyphOffsetArray.length-d,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,!1,0),t.programConfigurations.populatePaintArrays(t.layoutVertexArray.length,a,a.index,{})},Os.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))},Os.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s,l){var c=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),u=c.vertexLength,h=a.layoutVertexArray,f=a.collisionVertexArray,p=s.anchorX,d=s.anchorY;if(this._addCollisionDebugVertex(h,f,o,p,d,new i(t,e)),this._addCollisionDebugVertex(h,f,o,p,d,new i(r,e)),this._addCollisionDebugVertex(h,f,o,p,d,new i(r,n)),this._addCollisionDebugVertex(h,f,o,p,d,new i(t,n)),c.vertexLength+=4,l){var g=a.indexArray;g.emplaceBack(u,u+1,u+2),g.emplaceBack(u,u+2,u+3),c.primitiveLength+=2}else{var v=a.indexArray;v.emplaceBack(u,u+1),v.emplaceBack(u+1,u+2),v.emplaceBack(u+2,u+3),v.emplaceBack(u+3,u),c.primitiveLength+=4}},Os.prototype.addDebugCollisionBoxes=function(t,e,r){for(var n=t;n<e;n++){var i=this.collisionBoxArray.get(n),a=i.x1,o=i.y1,s=i.x2,l=i.y2,c=i.radius>0;this.addCollisionDebugVertices(a,o,s,l,c?this.collisionCircle:this.collisionBox,i.anchorPoint,r,c)}},Os.prototype.generateCollisionDebugBuffers=function(){for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e)}},Os.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i){for(var a={},o=e;o<r;o++){var s=t.get(o);if(0===s.radius){a.textBox={x1:s.x1,y1:s.y1,x2:s.x2,y2:s.y2,anchorPointX:s.anchorPointX,anchorPointY:s.anchorPointY},a.textFeatureIndex=s.featureIndex;break}a.textCircles||(a.textCircles=[],a.textFeatureIndex=s.featureIndex),a.textCircles.push(s.anchorPointX,s.anchorPointY,s.radius,s.signedDistanceFromAnchor,1)}for(var l=n;l<i;l++){var c=t.get(l);if(0===c.radius){a.iconBox={x1:c.x1,y1:c.y1,x2:c.x2,y2:c.y2,anchorPointX:c.anchorPointX,anchorPointY:c.anchorPointY},a.iconFeatureIndex=c.featureIndex;break}}return a},Os.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.iconBoxStartIndex,r.iconBoxEndIndex))}},Os.prototype.hasTextData=function(){return this.text.segments.get().length>0},Os.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Os.prototype.hasCollisionBoxData=function(){return this.collisionBox.segments.get().length>0},Os.prototype.hasCollisionCircleData=function(){return this.collisionCircle.segments.get().length>0},Os.prototype.addIndicesForPlacedTextSymbol=function(t){for(var e=this.text.placedSymbolArray.get(t),r=e.vertexStartIndex+4*e.numGlyphs,n=e.vertexStartIndex;n<r;n+=4)this.text.indexArray.emplaceBack(n,n+1,n+2),this.text.indexArray.emplaceBack(n+1,n+2,n+3)},Os.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},Os.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.addIndicesForPlacedTextSymbol(t)}),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedTextSymbol(a.verticalPlacedTextSymbolIndex);var o=this.icon.placedSymbolArray.get(i);if(o.numGlyphs){var s=o.vertexStartIndex;this.icon.indexArray.emplaceBack(s,s+1,s+2),this.icon.indexArray.emplaceBack(s+1,s+2,s+3)}}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},kn("SymbolBucket",Os,{omit:["layers","collisionBoxArray","features","compareText"]}),Os.MAX_GLYPHS=65535,Os.addDynamicAttributes=Cs;var zs=new ei({"symbol-placement":new Jn(It.layout_symbol["symbol-placement"]),"symbol-spacing":new Jn(It.layout_symbol["symbol-spacing"]),"symbol-avoid-edges":new Jn(It.layout_symbol["symbol-avoid-edges"]),"symbol-sort-key":new Kn(It.layout_symbol["symbol-sort-key"]),"symbol-z-order":new Jn(It.layout_symbol["symbol-z-order"]),"icon-allow-overlap":new Jn(It.layout_symbol["icon-allow-overlap"]),"icon-ignore-placement":new Jn(It.layout_symbol["icon-ignore-placement"]),"icon-optional":new Jn(It.layout_symbol["icon-optional"]),"icon-rotation-alignment":new Jn(It.layout_symbol["icon-rotation-alignment"]),"icon-size":new Kn(It.layout_symbol["icon-size"]),"icon-text-fit":new Jn(It.layout_symbol["icon-text-fit"]),"icon-text-fit-padding":new Jn(It.layout_symbol["icon-text-fit-padding"]),"icon-image":new Kn(It.layout_symbol["icon-image"]),"icon-rotate":new Kn(It.layout_symbol["icon-rotate"]),"icon-padding":new Jn(It.layout_symbol["icon-padding"]),"icon-keep-upright":new Jn(It.layout_symbol["icon-keep-upright"]),"icon-offset":new Kn(It.layout_symbol["icon-offset"]),"icon-anchor":new Kn(It.layout_symbol["icon-anchor"]),"icon-pitch-alignment":new Jn(It.layout_symbol["icon-pitch-alignment"]),"text-pitch-alignment":new Jn(It.layout_symbol["text-pitch-alignment"]),"text-rotation-alignment":new Jn(It.layout_symbol["text-rotation-alignment"]),"text-field":new Kn(It.layout_symbol["text-field"]),"text-font":new Kn(It.layout_symbol["text-font"]),"text-size":new Kn(It.layout_symbol["text-size"]),"text-max-width":new Kn(It.layout_symbol["text-max-width"]),"text-line-height":new Jn(It.layout_symbol["text-line-height"]),"text-letter-spacing":new Kn(It.layout_symbol["text-letter-spacing"]),"text-justify":new Kn(It.layout_symbol["text-justify"]),"text-radial-offset":new Kn(It.layout_symbol["text-radial-offset"]),"text-variable-anchor":new Jn(It.layout_symbol["text-variable-anchor"]),"text-anchor":new Kn(It.layout_symbol["text-anchor"]),"text-max-angle":new Jn(It.layout_symbol["text-max-angle"]),"text-rotate":new Kn(It.layout_symbol["text-rotate"]),"text-padding":new Jn(It.layout_symbol["text-padding"]),"text-keep-upright":new Jn(It.layout_symbol["text-keep-upright"]),"text-transform":new Kn(It.layout_symbol["text-transform"]),"text-offset":new Kn(It.layout_symbol["text-offset"]),"text-allow-overlap":new Jn(It.layout_symbol["text-allow-overlap"]),"text-ignore-placement":new Jn(It.layout_symbol["text-ignore-placement"]),"text-optional":new Jn(It.layout_symbol["text-optional"])}),Is={paint:new ei({"icon-opacity":new Kn(It.paint_symbol["icon-opacity"]),"icon-color":new Kn(It.paint_symbol["icon-color"]),"icon-halo-color":new Kn(It.paint_symbol["icon-halo-color"]),"icon-halo-width":new Kn(It.paint_symbol["icon-halo-width"]),"icon-halo-blur":new Kn(It.paint_symbol["icon-halo-blur"]),"icon-translate":new Jn(It.paint_symbol["icon-translate"]),"icon-translate-anchor":new Jn(It.paint_symbol["icon-translate-anchor"]),"text-opacity":new Kn(It.paint_symbol["text-opacity"]),"text-color":new Kn(It.paint_symbol["text-color"]),"text-halo-color":new Kn(It.paint_symbol["text-halo-color"]),"text-halo-width":new Kn(It.paint_symbol["text-halo-width"]),"text-halo-blur":new Kn(It.paint_symbol["text-halo-blur"]),"text-translate":new Jn(It.paint_symbol["text-translate"]),"text-translate-anchor":new Jn(It.paint_symbol["text-translate-anchor"])}),layout:zs},Ds=function(t){function e(e){t.call(this,e,Is)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e){t.prototype.recalculate.call(this,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"]=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"))},e.prototype.getValueAndResolveTokens=function(t,e){var r,n=this.layout.get(t).evaluate(e,{}),i=this._unevaluatedLayout._values[t];return i.isDataDriven()||Pr(i.value)?n:(r=e.properties,n.replace(/{([^{}]+)}/g,function(t,e){return e in r?String(r[e]):""}))},e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e}(ri),Rs={paint:new ei({"background-color":new Jn(It.paint_background["background-color"]),"background-pattern":new Qn(It.paint_background["background-pattern"]),"background-opacity":new Jn(It.paint_background["background-opacity"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(ri),Bs={paint:new ei({"raster-opacity":new Jn(It.paint_raster["raster-opacity"]),"raster-hue-rotate":new Jn(It.paint_raster["raster-hue-rotate"]),"raster-brightness-min":new Jn(It.paint_raster["raster-brightness-min"]),"raster-brightness-max":new Jn(It.paint_raster["raster-brightness-max"]),"raster-saturation":new Jn(It.paint_raster["raster-saturation"]),"raster-contrast":new Jn(It.paint_raster["raster-contrast"]),"raster-resampling":new Jn(It.paint_raster["raster-resampling"]),"raster-fade-duration":new Jn(It.paint_raster["raster-fade-duration"])})},Ns=function(t){function e(e){t.call(this,e,Bs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(ri),js=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}(ri),Us={circle:Fa,heatmap:Wa,hillshade:Za,fill:Oo,"fill-extrusion":Jo,line:hs,symbol:Ds,background:Fs,raster:Ns};function Vs(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 h.h===p.h?(p.x+=h.w,p.w-=h.w):h.w===p.w?(p.y+=h.h,p.h-=h.h):(o.push({x:p.x+h.w,y:p.y,w:p.w-h.w,h:h.h}),p.y+=h.h,p.h-=h.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var qs=function(t,e){var r=e.pixelRatio,n=e.version;this.paddedRect=t,this.pixelRatio=r,this.version=n},Hs={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};Hs.tl.get=function(){return[this.paddedRect.x+1,this.paddedRect.y+1]},Hs.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-1,this.paddedRect.y+this.paddedRect.h-1]},Hs.tlbr.get=function(){return this.tl.concat(this.br)},Hs.displaySize.get=function(){return[(this.paddedRect.w-2)/this.pixelRatio,(this.paddedRect.h-2)/this.pixelRatio]},Object.defineProperties(qs.prototype,Hs);var Gs=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=Vs(i),o=a.w,s=a.h,l=new Ha({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Ha.copy(u.data,l,{x:0,y:0},{x:h.x+1,y:h.y+1},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,g=d.x+1,v=d.y+1,m=p.data.width,y=p.data.height;Ha.copy(p.data,l,{x:0,y:0},{x:g,y:v},p.data),Ha.copy(p.data,l,{x:0,y:y-1},{x:g,y:v-1},{width:m,height:1}),Ha.copy(p.data,l,{x:0,y:0},{x:g,y:v+y},{width:m,height:1}),Ha.copy(p.data,l,{x:m-1,y:0},{x:g-1,y:v},{width:1,height:y}),Ha.copy(p.data,l,{x:0,y:0},{x:g+m,y:v},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Gs.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,h:i.data.height+2};r.push(a),e[n]=new qs(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Gs.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)},Gs.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})}},kn("ImagePosition",qs),kn("ImageAtlas",Gs);var Ys=self.HTMLImageElement,Ws=self.HTMLCanvasElement,Xs=self.HTMLVideoElement,Zs=self.ImageData,Js=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Js.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 Ys||t instanceof Ws||t instanceof Xs||t instanceof Zs?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 Ys||t instanceof Ws||t instanceof Xs||t instanceof Zs?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)},Js.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)},Js.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Js.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Ks=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)},$s=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,g=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*g},Qs=tl;function tl(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}function el(t){return t.type===tl.Bytes?t.readVarint()+t.pos:t.pos+1}function rl(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function nl(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 il(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function al(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function ol(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function sl(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function ll(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function cl(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function ul(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function hl(t,e){for(var r=0;r<t.length;r++)e.writeFixed64(t[r])}function fl(t,e){for(var r=0;r<t.length;r++)e.writeSFixed64(t[r])}function pl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+16777216*t[e+3]}function dl(t,e,r){t[r]=e,t[r+1]=e>>>8,t[r+2]=e>>>16,t[r+3]=e>>>24}function gl(t,e){return(t[e]|t[e+1]<<8|t[e+2]<<16)+(t[e+3]<<24)}tl.Varint=0,tl.Fixed64=1,tl.Bytes=2,tl.Fixed32=5,tl.prototype={destroy:function(){this.buf=null},readFields:function(t,e,r){for(r=r||this.length;this.pos<r;){var 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rl(t,n,e);if(n|=(127&(i=a[r.pos++]))<<3,i<128)return rl(t,n,e);if(n|=(127&(i=a[r.pos++]))<<10,i<128)return rl(t,n,e);if(n|=(127&(i=a[r.pos++]))<<17,i<128)return rl(t,n,e);if(n|=(127&(i=a[r.pos++]))<<24,i<128)return rl(t,n,e);if(n|=(1&(i=a[r.pos++]))<<31,i<128)return rl(t,n,e);throw new Error("Expected varint not more than 10 bytes")}(e|=(15&(r=n[this.pos]))<<28,t,this))))},readVarint64:function(){return this.readVarint(!0)},readSVarint:function(){var t=this.readVarint();return t%2==1?(t+1)/-2:t/2},readBoolean:function(){return Boolean(this.readVarint())},readString:function(){var t=this.readVarint()+this.pos,e=function(t,e,r){for(var n="",i=e;i<r;){var a,o,s,l=t[i],c=null,u=l>239?4:l>223?3:l>191?2:1;if(i+u>r)break;1===u?l<128&&(c=l):2===u?128==(192&(a=t[i+1]))&&(c=(31&l)<<6|63&a)<=127&&(c=null):3===u?(a=t[i+1],o=t[i+2],128==(192&a)&&128==(192&o)&&((c=(15&l)<<12|(63&a)<<6|63&o)<=2047||c>=55296&&c<=57343)&&(c=null)):4===u&&(a=t[i+1],o=t[i+2],s=t[i+3],128==(192&a)&&128==(192&o)&&128==(192&s)&&((c=(15&l)<<18|(63&a)<<12|(63&o)<<6|63&s)<=65535||c>=1114112)&&(c=null)),null===c?(c=65533,u=1):c>65535&&(c-=65536,n+=String.fromCharCode(c>>>10&1023|55296),c=56320|1023&c),n+=String.fromCharCode(c),i+=u}return n}(this.buf,this.pos,t);return this.pos=t,e},readBytes:function(){var t=this.readVarint()+this.pos,e=this.buf.subarray(this.pos,t);return this.pos=t,e},readPackedVarint:function(t,e){if(this.type!==tl.Bytes)return t.push(this.readVarint(e));var r=el(this);for(t=t||[];this.pos<r;)t.push(this.readVarint(e));return t},readPackedSVarint:function(t){if(this.type!==tl.Bytes)return t.push(this.readSVarint());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readSVarint());return t},readPackedBoolean:function(t){if(this.type!==tl.Bytes)return t.push(this.readBoolean());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readBoolean());return t},readPackedFloat:function(t){if(this.type!==tl.Bytes)return t.push(this.readFloat());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readFloat());return t},readPackedDouble:function(t){if(this.type!==tl.Bytes)return t.push(this.readDouble());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readDouble());return t},readPackedFixed32:function(t){if(this.type!==tl.Bytes)return t.push(this.readFixed32());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readFixed32());return t},readPackedSFixed32:function(t){if(this.type!==tl.Bytes)return t.push(this.readSFixed32());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==tl.Bytes)return t.push(this.readFixed64());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==tl.Bytes)return t.push(this.readSFixed64());var e=el(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===tl.Varint)for(;this.buf[this.pos++]>127;);else if(e===tl.Bytes)this.pos=this.readVarint()+this.pos;else if(e===tl.Fixed32)this.pos+=4;else{if(e!==tl.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),dl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),dl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),dl(this.buf,-1&t,this.pos),dl(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),dl(this.buf,-1&t,this.pos),dl(this.buf,Math.floor(t*(1/4294967296)),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&&nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),$s(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),$s(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,tl.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,il,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,al,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,ll,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,ol,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,sl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,cl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,ul,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,fl,e)},writeBytesField:function(t,e){this.writeTag(t,tl.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,tl.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,tl.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,tl.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,tl.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,tl.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,tl.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,tl.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,tl.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,tl.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var vl=3;function ml(t,e,r){1===t&&r.readMessage(yl,e)}function yl(t,e,r){if(3===t){var n=r.readMessage(xl,{}),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 qa({width:o+2*vl,height:s+2*vl},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function xl(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 bl=vl,_l=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.callbackID=0,v(["receive"],this),this.target.addEventListener("message",this.receive,!1)};function wl(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]}_l.prototype.send=function(t,e,r,n){var i=this,a=r?this.mapId+":"+this.callbackID++:null;r&&(this.callbacks[a]=r);var o=[];if(this.target.postMessage({targetMapId:n,sourceMapId:this.mapId,type:t,id:String(a),data:An(e,o)},o),r)return{cancel:function(){i.callbacks[a]=null,i.target.postMessage({targetMapId:n,sourceMapId:i.mapId,type:"<cancel>",id:String(a)})}}},_l.prototype.receive=function(t){var e,r=this,n=t.data,i=n.id;if(!n.targetMapId||this.mapId===n.targetMapId){var a=function(t,e){delete r.callbacks[i];var n=[];r.target.postMessage({sourceMapId:r.mapId,type:"<response>",id:String(i),error:t?An(t):null,data:An(e,n)},n)};if("<response>"===n.type||"<cancel>"===n.type)e=this.callbacks[n.id],delete this.callbacks[n.id],e&&n.error?e(Mn(n.error)):e&&e(null,Mn(n.data));else if(void 0!==n.id&&this.parent[n.type]){this.callbacks[n.id]=null;var o=this.parent[n.type](n.sourceMapId,Mn(n.data),a);o&&null===this.callbacks[n.id]&&(this.callbacks[n.id]=o.cancel)}else if(void 0!==n.id&&this.parent.getWorkerSource){var s=n.type.split("."),l=Mn(n.data);this.parent.getWorkerSource(n.sourceMapId,s[0],l.source)[s[1]](l,a)}else this.parent[n.type](Mn(n.data))}},_l.prototype.remove=function(){this.target.removeEventListener("message",this.receive,!1)};var kl=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]))};kl.prototype.setNorthEast=function(t){return this._ne=t instanceof Tl?new Tl(t.lng,t.lat):Tl.convert(t),this},kl.prototype.setSouthWest=function(t){return this._sw=t instanceof Tl?new Tl(t.lng,t.lat):Tl.convert(t),this},kl.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Tl)e=t,r=t;else{if(!(t instanceof kl))return Array.isArray(t)?t.every(Array.isArray)?this.extend(kl.convert(t)):this.extend(Tl.convert(t)):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 Tl(e.lng,e.lat),this._ne=new Tl(r.lng,r.lat)),this},kl.prototype.getCenter=function(){return new Tl((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},kl.prototype.getSouthWest=function(){return this._sw},kl.prototype.getNorthEast=function(){return this._ne},kl.prototype.getNorthWest=function(){return new Tl(this.getWest(),this.getNorth())},kl.prototype.getSouthEast=function(){return new Tl(this.getEast(),this.getSouth())},kl.prototype.getWest=function(){return this._sw.lng},kl.prototype.getSouth=function(){return this._sw.lat},kl.prototype.getEast=function(){return this._ne.lng},kl.prototype.getNorth=function(){return this._ne.lat},kl.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},kl.prototype.toString=function(){return"LngLatBounds("+this._sw.toString()+", "+this._ne.toString()+")"},kl.prototype.isEmpty=function(){return!(this._sw&&this._ne)},kl.convert=function(t){return!t||t instanceof kl?t:new kl(t)};var Tl=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")};function Al(t){return 2*Math.PI*6378137*Math.cos(t*Math.PI/180)}function Ml(t){return(180+t)/360}function Sl(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function El(t,e){return t/Al(e)}function Cl(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}Tl.prototype.wrap=function(){return new Tl(u(this.lng,-180,180),this.lat)},Tl.prototype.toArray=function(){return[this.lng,this.lat]},Tl.prototype.toString=function(){return"LngLat("+this.lng+", "+this.lat+")"},Tl.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 kl(new Tl(this.lng-r,this.lat-e),new Tl(this.lng+r,this.lat+e))},Tl.convert=function(t){if(t instanceof Tl)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Tl(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&"object"==typeof t&&null!==t)return new Tl(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 Ll=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Ll.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Tl.convert(t);return new Ll(Ml(r.lng),Sl(r.lat),El(e,r.lat))},Ll.prototype.toLngLat=function(){return new Tl(360*this.x-180,Cl(this.y))},Ll.prototype.toAltitude=function(){return this.z*Al(Cl(this.y))};var Pl=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Il(0,t,e,r)};Pl.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Pl.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=wl(256*r,256*(n=Math.pow(2,i)-n-1),i),o=wl(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)},Pl.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i((t.x*e-this.x)*ha,(t.y*e-this.y)*ha)};var Ol=function(t,e){this.wrap=t,this.canonical=e,this.key=Il(t,e.z,e.x,e.y)},zl=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Pl(r,+n,+i),this.key=Il(e,t,n,i)};function Il(t,e,r,n){(t*=2)<0&&(t=-1*t-1);var i=1<<e;return 32*(i*i*t+i*n+r)+e}zl.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},zl.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new zl(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new zl(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},zl.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},zl.prototype.children=function(t){if(this.overscaledZ>=t)return[new zl(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 zl(e,this.wrap,e,r,n),new zl(e,this.wrap,e,r+1,n),new zl(e,this.wrap,e,r,n+1),new zl(e,this.wrap,e,r+1,n+1)]},zl.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))},zl.prototype.wrapped=function(){return new zl(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},zl.prototype.unwrapTo=function(t){return new zl(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},zl.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},zl.prototype.toUnwrapped=function(){return new Ol(this.wrap,this.canonical)},zl.prototype.toString=function(){return this.overscaledZ+"/"+this.canonical.x+"/"+this.canonical.y},zl.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Ll(t.x-this.wrap,t.y))},kn("CanonicalTileID",Pl),kn("OverscaledTileID",zl,{omit:["posMatrix"]});var Dl=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError("DEM tiles must be square");if(r&&"mapbox"!==r&&"terrarium"!==r)return w('"'+r+'" is not a valid encoding type. Valid types include "mapbox" and "terrarium".');var n=this.dim=e.height;this.stride=this.dim+2,this.data=new Int32Array(this.stride*this.stride);for(var i=e.data,a="terrarium"===r?this._unpackTerrarium:this._unpackMapbox,o=0;o<n;o++)for(var s=0;s<n;s++){var l=4*(o*n+s);this.set(s,o,a(i[l],i[l+1],i[l+2]))}for(var c=0;c<n;c++)this.set(-1,c,this.get(0,c)),this.set(n,c,this.get(n-1,c)),this.set(c,-1,this.get(c,0)),this.set(c,n,this.get(c,n-1));this.set(-1,-1,this.get(0,0)),this.set(n,-1,this.get(n-1,0)),this.set(-1,n,this.get(0,n-1)),this.set(n,n,this.get(n-1,n-1))};Dl.prototype.set=function(t,e,r){this.data[this._idx(t,e)]=r+65536},Dl.prototype.get=function(t,e){return this.data[this._idx(t,e)]-65536},Dl.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)},Dl.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Dl.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Dl.prototype.getPixels=function(){return new Ha({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Dl.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.set(u,c,t.get(u+s,c+l))},kn("DEMData",Dl);var Rl=oi([{name:"a_pos",type:"Int16",components:2},{name:"a_texture_pos",type:"Int16",components:2}]),Fl=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}};Fl.prototype.encode=function(t){return this._stringToNumber[t]},Fl.prototype.decode=function(t){return this._numberToString[t]};var Bl=function(t,e,r,n){this.type="Feature",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,null!=t.id&&(this.id=t.id)},Nl={geometry:{configurable:!0}};Nl.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},Nl.geometry.set=function(t){this._geometry=t},Bl.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(Bl.prototype,Nl);var jl=function(){this.state={},this.stateChanges={},this.deletedStates={}};jl.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]||{},h(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]},jl.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&&e>=0)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e&&e>=0)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}},jl.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=h({},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},jl.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},jl.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]={}),h(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,f=Object.keys(this.deletedStates[o][c]);u<f.length;u+=1){var p=f[u];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},h(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Ul=function(t,e,r){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=e||new yn(ha,16,0),this.grid3D=new yn(ha,16,0),this.featureIndexArray=r||new ji};function Vl(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 ql(t,e){return e-t}Ul.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]<ha&&u[1]<ha&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Ul.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Vo.VectorTile(new Qs(this.rawTileData)).layers,this.sourceLayerCoder=new Fl(this.vtLayers?Object.keys(this.vtLayers).sort():["_geojsonTileLayer"])),this.vtLayers},Ul.prototype.query=function(t,e,r){var n=this;this.loadVTLayers();for(var a=t.params||{},o=ha/t.tileSize/t.scale,s=Gr(a.filter),l=t.queryGeometry,c=t.queryPadding*o,u=Vl(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=Vl(t.cameraQueryGeometry),p=0,d=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,function(e,r,n,a){return function(t,e,r,n,a){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&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,h=c;u<h.length;u+=1)if(Aa(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Ma(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,a+c)});p<d.length;p+=1){var g=d[p];h.push(g)}h.sort(ql);for(var v,m={},y=function(i){var c=h[i];if(c!==v){v=c;var u=n.featureIndexArray.get(c),f=null;n.loadMatchingFeature(m,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,a.layers,e,function(e,i){f||(f=pa(e));var a={};return e.id&&(a=r.getState(i.sourceLayer||"_geojsonTileLayer",e.id)),i.queryIntersectsFeature(l,e,a,f,n.z,t.transform,o,t.pixelPosMatrix)})}},x=0;x<h.length;x++)y(x);return m},Ul.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s){var l=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,l)){var c=this.sourceLayerCoder.decode(r),u=this.vtLayers[c].feature(n);if(i(new Un(this.tileID.overscaledZ),u))for(var h=0;h<l.length;h++){var f=l[h];if(!(a&&a.indexOf(f)<0)){var p=o[f];if(p){var d=!s||s(u,p);if(d){var g=new Bl(u,this.z,this.x,this.y);g.layer=p.serialize();var v=t[f];void 0===v&&(v=t[f]=[]),v.push({featureIndex:n,feature:g,intersectionZ:d})}}}}}},Ul.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a){var o={};this.loadVTLayers();for(var s=Gr(n),l=0,c=t;l<c.length;l+=1){var u=c[l];this.loadMatchingFeature(o,e,r,u,s,i,a)}return o},Ul.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},kn("FeatureIndex",Ul,{omit:["rawTileData","sourceLayerCoder"]});var Hl=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.expiredRequestCount=0,this.state="loading"};Hl.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<z.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},Hl.prototype.wasRequested=function(){return"errored"===this.state||"loaded"===this.state||"reloading"===this.state},Hl.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 Os){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}for(var a in this.queryPadding=0,this.buckets){var o=this.buckets[a];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(a).queryRadius(o))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Li},Hl.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"},Hl.prototype.unloadDEMData=function(){this.dem=null,this.neighboringTiles=null,this.state="unloaded"},Hl.prototype.getBucket=function(t){return this.buckets[t.id]},Hl.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 Js(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Js(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},Hl.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},Hl.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:r,cameraQueryGeometry:n,scale:i,tileSize:this.tileSize,pixelPosMatrix:l,transform:o,params:a,queryPadding:this.queryPadding*s},t,e):{}},Hl.prototype.querySourceFeatures=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData){var r=this.latestFeatureIndex.loadVTLayers(),n=e?e.sourceLayer:"",i=r._geojsonTileLayer||r[n];if(i)for(var a=Gr(e&&e.filter),o=this.tileID.canonical,s=o.z,l=o.x,c=o.y,u={z:s,x:l,y:c},h=0;h<i.length;h++){var f=i.feature(h);if(a(new Un(this.tileID.overscaledZ),f)){var p=new Bl(f,s,l,c);p.tile=u,t.push(p)}}}},Hl.prototype.clearMask=function(){this.segments&&(this.segments.destroy(),delete this.segments),this.maskedBoundsBuffer&&(this.maskedBoundsBuffer.destroy(),delete this.maskedBoundsBuffer),this.maskedIndexBuffer&&(this.maskedIndexBuffer.destroy(),delete this.maskedIndexBuffer)},Hl.prototype.setMask=function(t,e){if(!o(this.mask,t)&&(this.mask=t,this.clearMask(),!o(t,{0:!0}))){var r=new ci,n=new Ti;this.segments=new Vi,this.segments.prepareSegment(0,r,n);for(var a=Object.keys(t),s=0;s<a.length;s++){var l=t[+a[s]],c=ha>>l.z,u=new i(l.x*c,l.y*c),h=new i(u.x+c,u.y+c),f=this.segments.prepareSegment(4,r,n);r.emplaceBack(u.x,u.y,u.x,u.y),r.emplaceBack(h.x,u.y,h.x,u.y),r.emplaceBack(u.x,h.y,u.x,h.y),r.emplaceBack(h.x,h.y,h.x,h.y);var p=f.vertexLength;n.emplaceBack(p,p+1,p+2),n.emplaceBack(p+1,p+2,p+3),f.vertexLength+=4,f.primitiveLength+=2}this.maskedBoundsBuffer=e.createVertexBuffer(r,Rl.members),this.maskedIndexBuffer=e.createIndexBuffer(n)}},Hl.prototype.hasData=function(){return"loaded"===this.state||"reloading"===this.state||"expired"===this.state},Hl.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},Hl.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(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}},Hl.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)},Hl.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){var i=this.buckets[n],a=i.layers[0].sourceLayer||"_geojsonTileLayer",o=r[a],s=t[a];o&&s&&0!==Object.keys(s).length&&(i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{}),e&&e.style&&(this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(n).queryRadius(i))))}}},Hl.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},Hl.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<z.now()},Hl.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},Hl.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=z.now()+t};var Gl=24,Yl={horizontal:1,vertical:2,horizontalOnly:3},Wl=function(){this.text="",this.sectionIndex=[],this.sections=[]};function Xl(t,e,r,n,i,a,o,s,l,c){var u,h=Wl.fromFeature(t,r);c===Yl.vertical&&h.verticalizePunctuation();var f=jn.processBidirectionalText,p=jn.processStyledBidirectionalText;if(f&&1===h.sections.length){u=[];for(var d=0,g=f(h.toString(),tc(h,s,n,e));d<g.length;d+=1){var v=g[d],m=new Wl;m.text=v,m.sections=h.sections;for(var y=0;y<v.length;y++)m.sectionIndex.push(0);u.push(m)}}else if(p){u=[];for(var x=0,b=p(h.text,h.sectionIndex,tc(h,s,n,e));x<b.length;x+=1){var _=b[x],w=new Wl;w.text=_[0],w.sectionIndex=_[1],w.sections=h.sections,u.push(w)}}else u=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}(h,tc(h,s,n,e));var k=[],T={positionedGlyphs:k,text:h.toString(),top:l[1],bottom:l[1],left:l[0],right:l[0],writingMode:c,lineCount:u.length};return function(t,e,r,n,i,a,o,s){for(var l=0,c=-17,u=0,h=t.positionedGlyphs,f="right"===a?1:"left"===a?0:.5,p=0,d=r;p<d.length;p+=1){var g=d[p];g.trim();var v=g.getMaxScale();if(g.length()){for(var m=h.length,y=0;y<g.length();y++){var x=g.getSection(y),b=g.getCharCode(y),_=24*(v-x.scale),w=e[x.fontStack],k=w&&w[b];k&&(On(b)&&o!==Yl.horizontal?(h.push({glyph:b,x:l,y:_,vertical:!0,scale:x.scale,fontStack:x.fontStack}),l+=Gl*x.scale+s):(h.push({glyph:b,x:l,y:c+_,vertical:!1,scale:x.scale,fontStack:x.fontStack}),l+=k.metrics.advance*x.scale+s))}if(h.length!==m){var T=l-s;u=Math.max(T,u),rc(h,e,m,h.length-1,f)}l=0,c+=n*v}else c+=n}var A=ec(i),M=A.horizontalAlign,S=A.verticalAlign;!function(t,e,r,n,i,a,o){for(var s=(e-r)*i,l=(-n*o+.5)*a,c=0;c<t.length;c++)t[c].x+=s,t[c].y+=l}(h,f,M,S,u,n,r.length);var E=c- -17;t.top+=-S*E,t.bottom=t.top+E,t.left+=-M*u,t.right=t.left+u}(T,e,u,i,a,o,c,s),!!k.length&&T}Wl.fromFeature=function(t,e){for(var r=new Wl,n=0;n<t.sections.length;n++){var i=t.sections[n];r.sections.push({scale:i.scale||1,fontStack:i.fontStack||e}),r.text+=i.text;for(var a=0;a<i.text.length;a++)r.sectionIndex.push(n)}return r},Wl.prototype.length=function(){return this.text.length},Wl.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Wl.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Wl.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&&zn(n)&&!xs[t[r+1]]||i&&zn(i)&&!xs[t[r-1]]||!xs[t[r]]?e+=t[r]:e+=xs[t[r]]}return e}(this.text)},Wl.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&Zl[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&Zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Wl.prototype.substring=function(t,e){var r=new Wl;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Wl.prototype.toString=function(){return this.text},Wl.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce(function(e,r){return Math.max(e,t.sections[r].scale)},0)};var Zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Jl={};function Kl(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function $l(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function Ql(t,e,r,n,i,a){for(var o=null,s=Kl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],h=Kl(e-u.x,r,i,a)+u.badness;h<=s&&(o=u,s=h)}return{index:t,x:e,priorBreak:o,badness:s}}function tc(t,e,r,n){if(!r)return[];if(!t)return[];for(var i,a=[],o=function(t,e,r,n){for(var i=0,a=0;a<t.length();a++){var o=t.getSection(a),s=n[o.fontStack],l=s&&s[t.getCharCode(a)];l&&(i+=l.metrics.advance*o.scale+e)}return i/Math.max(1,Math.ceil(i/r))}(t,e,r,n),s=t.text.indexOf("\u200b")>=0,l=0,c=0;c<t.length();c++){var u=t.getSection(c),h=t.getCharCode(c),f=n[u.fontStack],p=f&&f[h];if(p&&!Zl[h]&&(l+=p.metrics.advance*u.scale+e),c<t.length()-1){var d=!((i=h)<11904||!(En["Bopomofo Extended"](i)||En.Bopomofo(i)||En["CJK Compatibility Forms"](i)||En["CJK Compatibility Ideographs"](i)||En["CJK Compatibility"](i)||En["CJK Radicals Supplement"](i)||En["CJK Strokes"](i)||En["CJK Symbols and Punctuation"](i)||En["CJK Unified Ideographs Extension A"](i)||En["CJK Unified Ideographs"](i)||En["Enclosed CJK Letters and Months"](i)||En["Halfwidth and Fullwidth Forms"](i)||En.Hiragana(i)||En["Ideographic Description Characters"](i)||En["Kangxi Radicals"](i)||En["Katakana Phonetic 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a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],h=t[o],f=t[o+1];if(!f)return!1;var p=u.angleTo(h)-h.angleTo(f);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=h.dist(f)}return!0}function ac(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function oc(t,e,r){return t?.6*e*r:0}function sc(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function lc(t,e,r,n,i,a){for(var o=oc(r,i,a),s=sc(r,n)*a,l=0,c=ac(t)/2,u=0;u<t.length-1;u++){var h=t[u],f=t[u+1],p=h.dist(f);if(l+p>c){var d=(c-l)/p,g=Ee(h.x,f.x,d),v=Ee(h.y,f.y,d),m=new bs(g,v,f.angleTo(h),u);return m._round(),!o||ic(t,m,s,o,e)?m:void 0}l+=p}}function cc(t,e,r,n,i,a,o,s,l){var c=oc(n,a,o),u=sc(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),function t(e,r,n,i,a,o,s,l,c){for(var u=o/2,h=ac(e),f=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var v=e[g],m=e[g+1],y=v.dist(m),x=m.angleTo(v);p+n<f+y;){var b=((p+=n)-f)/y,_=Ee(v.x,m.x,b),w=Ee(v.y,m.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=h){var k=new bs(_,w,x,g);k._round(),i&&!ic(e,k,o,i,a)||d.push(k)}}f+=y}return l||d.length||s||(d=t(e,f/2,n,i,a,o,s,!0,c)),d}(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,!1,l)}Jl[10]=!0,Jl[32]=!0,Jl[38]=!0,Jl[40]=!0,Jl[41]=!0,Jl[43]=!0,Jl[45]=!0,Jl[47]=!0,Jl[173]=!0,Jl[183]=!0,Jl[8203]=!0,Jl[8208]=!0,Jl[8211]=!0,Jl[8231]=!0;var uc=function(t,e,r,n,a,o,s,l,c,u,h,f){var p=s.top*l-c,d=s.bottom*l+c,g=s.left*l-c,v=s.right*l+c;if(this.boxStartIndex=t.length,u){var m=d-p,y=v-g;m>0&&(m=Math.max(10*l,m),this._addLineCollisionCircles(t,e,r,r.segment,y,m,n,a,o,h))}else{if(f){var x=new i(g,p),b=new i(v,p),_=new i(g,d),w=new i(v,d),k=f*Math.PI/180;x._rotate(k),b._rotate(k),_._rotate(k),w._rotate(k),g=Math.min(x.x,b.x,_.x,w.x),v=Math.max(x.x,b.x,_.x,w.x),p=Math.min(x.y,b.y,_.y,w.y),d=Math.max(x.y,b.y,_.y,w.y)}t.emplaceBack(r.x,r.y,g,p,v,d,n,a,o,0,0)}this.boxEndIndex=t.length};uc.prototype._addLineCollisionCircles=function(t,e,r,n,i,a,o,s,l,c){var u=a/2,h=Math.floor(i/u)||1,f=1+.4*Math.log(c)/Math.LN2,p=Math.floor(h*f/2),d=-a/2,g=r,v=n+1,m=d,y=-i/2,x=y-i/4;do{if(--v<0){if(m>y)return;v=0;break}m-=e[v].dist(g),g=e[v]}while(m>x);for(var b=e[v].dist(e[v+1]),_=-p;_<h+p;_++){var w=_*u,k=y+w;if(w<0&&(k+=w),w>i&&(k+=w-i),!(k<m)){for(;m+b<k;){if(m+=b,++v+1>=e.length)return;b=e[v].dist(e[v+1])}var T=k-m,A=e[v],M=e[v+1].sub(A)._unit()._mult(T)._add(A)._round(),S=Math.abs(k-d)<u?0:.8*(k-d);t.emplaceBack(M.x,M.y,-a/2,-a/2,a/2,a/2,o,s,l,a/2,S)}}};var hc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=fc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function fc(t,e){return t<e?-1:t>e?1:0}function pc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var h=o-n,f=s-a,p=Math.min(h,f),d=p/2,g=new hc([],dc);if(0===p)return new i(n,a);for(var v=n;v<o;v+=p)for(var m=a;m<s;m+=p)g.push(new gc(v+d,m+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new gc(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new gc(b.p.x-d,b.p.y-d,d,t)),g.push(new gc(b.p.x+d,b.p.y-d,d,t)),g.push(new gc(b.p.x-d,b.p.y+d,d,t)),g.push(new gc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+y.d)),y.p}function dc(t,e){return e.max-t.max}function gc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var c=a[o],u=a[l];c.y>t.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ka(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}hc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},hc.prototype.pop=function(){if(0!==this.length){var t=this.data[0];return this.length--,this.length>0&&(this.data[0]=this.data[this.length],this._down(0)),this.data.pop(),t}},hc.prototype.peek=function(){return this.data[0]},hc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},hc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var vc=e(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 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bt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function _t(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(wt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var h=[];for(i=0;i<c[n].length;i+=2)h.push(wt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(h)}}return t.transformed=!0,t}function wt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function kt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,Tt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,h=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),h>o.maxY&&(o.maxY=h)}return o}function Tt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)At(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)At(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)At(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var h in u={},e.tags)u[h]=e.tags[h];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var f={geometry:o,type:"Polygon"===a||"MultiPolygon"===a?3:"LineString"===a||"MultiLineString"===a?2:1,tags:u};null!==e.id&&(f.id=e.id),t.features.push(f)}}function At(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Mt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time("preprocess data"),e.maxZoom<0||e.maxZoom>24)throw new Error("maxZoom should be in the 0-24 range");if(e.promoteId&&e.generateId)throw new Error("promoteId and generateId cannot be used together.");var n=function(t,e){var r=[];if("FeatureCollection"===t.type)for(var n=0;n<t.features.length;n++)at(r,t.features[n],e,n);else"Feature"===t.type?at(r,t,e):at(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd("preprocess data"),console.log("index: maxZoom: %d, maxPoints: %d",e.indexMaxZoom,e.indexMaxPoints),console.time("generate tiles"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ht(t,1,-1-r,r,0,-1,2,e),a=ht(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ht(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=xt(i,1).concat(n)),a&&(n=n.concat(xt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log("features: %d, points: %d",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd("generate tiles"),console.log("tiles generated:",this.total,JSON.stringify(this.stats)))}function St(t,e,r){return 32*((1<<t)*r+e)+t}function Et(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new k(n.features),a=E(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}Y.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(X(t[l],l));this.trees[i+1]=new H(s,tt,et,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 H(s,tt,et,a,Float32Array),r&&console.log("z%d: %d clusters in %dms",c,s.length,+Date.now()-u)}return r&&console.timeEnd("total time"),this},Y.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(K(r),$(a),K(i),$(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?Z(p):this.points[p.index])}return c},Y.prototype.getChildren=function(t){var e=t>>5,r=t%32,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?Z(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},Y.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},Y.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},Y.prototype.getClusterExpansionZoom=function(t){for(var e=t%32-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},Y.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},Y.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={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:l.numPoints?J(l):this.points[l.index].properties},u=l.numPoints?l.id:this.points[l.index].id;void 0!==u&&(c.id=u),a.features.push(c)}},Y.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},Y.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],h=u.within(c.x,c.y,s),f=c.numPoints||1,p=c.x*f,d=c.y*f,g=o?this._map(c,!0):null,v=(l<<5)+(e+1),m=0,y=h;m<y.length;m+=1){var x=y[m],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,f+=_,b.parentId=v,o&&o(g,this._map(b))}}1===f?r.push(c):(c.parentId=v,r.push(W(p/f,d/f,v,f,g)))}}return r},Y.prototype._map=function(t,e){if(t.numPoints)return e?Q({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Q({},n):n},Mt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Mt.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=St(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time("creation"),f=this.tiles[h]=kt(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 g,v,m,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,k=.5+_,T=1+_;g=v=m=y=null,x=ht(t,u,r-_,r+k,0,f.minX,f.maxX,l),b=ht(t,u,r+w,r+T,0,f.minX,f.maxX,l),t=null,x&&(g=ht(x,u,n-_,n+k,1,f.minY,f.maxY,l),v=ht(x,u,n+w,n+T,1,f.minY,f.maxY,l),x=null),b&&(m=ht(b,u,n-_,n+k,1,f.minY,f.maxY,l),y=ht(b,u,n+w,n+T,1,f.minY,f.maxY,l),b=null),c>1&&console.timeEnd("clipping"),s.push(g||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(m||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},Mt.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=St(t,e=(e%o+o)%o,r);if(this.tiles[s])return _t(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[St(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]?_t(this.tiles[s],i):null):null};var Ct=function(e){function r(t,r,n){e.call(this,t,r,Et),n&&(this.loadGeoJSON=n)}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 l.Performance(n.request);this.loadGeoJSON(n,function(a,o){if(a||!o)return r(a);if("object"!=typeof o)return r(new Error("Input data given to '"+n.source+"' is not a valid GeoJSON object."));!function t(e,r){switch(e&&e.type||null){case"FeatureCollection":return e.features=e.features.map(y(t,r)),e;case"GeometryCollection":return e.geometries=e.geometries.map(y(t,r)),e;case"Feature":return e.geometry=t(e.geometry,r),e;case"Polygon":case"MultiPolygon":return function(t,e){return"Polygon"===t.type?t.coordinates=x(t.coordinates,e):"MultiPolygon"===t.type&&(t.coordinates=t.coordinates.map(y(x,e))),t}(e,r);default:return e}}(o,!0);try{e._geoJSONIndex=n.cluster?new Y(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var h=u[c],f=n[h],p=f[0],d=f[1],g=t.createExpression(d),v=t.createExpression("string"==typeof p?[p,["accumulated"],["get",h]]:p);i[h]=g.value,a[h]=v.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):new Mt(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)})}},r.prototype.coalesce=function(){"Coalescing"===this._state?this._state="Idle":"NeedsLoadData"===this._state&&(this._state="Coalescing",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if("string"!=typeof e.data)return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error("Input data given to '"+e.source+"' is not a valid GeoJSON object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))},r.prototype.getClusterChildren=function(t,e){e(null,this._geoJSONIndex.getChildren(t.clusterId))},r.prototype.getClusterLeaves=function(t,e){e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))},r}(h),Lt=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.workerSourceTypes={vector:h,geojson:Ct},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.isLoaded())throw new Error("RTL text plugin already 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Lt.prototype.setReferrer=function(t,e){this.referrer=e},Lt.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},Lt.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},Lt.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},Lt.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},Lt.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},Lt.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},Lt.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},Lt.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},Lt.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},Lt.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},Lt.prototype.loadRTLTextPlugin=function(e,r,n){try{t.plugin.isLoaded()||(this.self.importScripts(r),n(t.plugin.isLoaded()?null:new Error("RTL Text Plugin failed to import scripts from "+r)))}catch(t){n(t.toString())}},Lt.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},Lt.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t))}return this.workerSources[t][e][r]},Lt.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new f),this.demWorkerSources[t][e]},Lt.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},"undefined"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new Lt(t.window)),Lt}),n(0,function(t){var e=t.createCommonjsModule(function(t){function e(t){return!!("undefined"!=typeof window&&"undefined"!=typeof document&&Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray&&Function.prototype&&Function.prototype.bind&&Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions&&"JSON"in window&&"parse"in JSON&&"stringify"in JSON&&function(){if(!("Worker"in window&&"Blob"in window&&"URL"in window))return!1;var t,e,r=new Blob([""],{type:"text/javascript"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()&&"Uint8ClampedArray"in window&&ArrayBuffer.isView&&function(t){return void 0===r[t]&&(r[t]=function(t){var r=document.createElement("canvas"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext("webgl",n)||r.probablySupportsContext("experimental-webgl",n):r.supportsContext?r.supportsContext("webgl",n)||r.supportsContext("experimental-webgl",n):r.getContext("webgl",n)||r.getContext("experimental-webgl",n)}(t)),r[t]}(t&&t.failIfMajorPerformanceCaveat))}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e);var r={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}}),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function h(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout(function(){t.window.removeEventListener("click",u,!0)},0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect(),i=t.window.TouchEvent&&r instanceof t.window.TouchEvent?r.touches[0]:r;return new t.Point(i.clientX-n.left-e.clientLeft,i.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a="touchend"===r.type?r.changedTouches:r.touches,o=0;o<a.length;o++)i.push(new t.Point(a[o].clientX-n.left-e.clientLeft,a[o].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.images[t]=e},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,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),p=g,d=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 v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-d,n[1]=+d;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]=+d}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?d:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?d:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){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};var y=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};y.prototype.setURL=function(t){this.url=t},y.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:{}});var o=a.glyphs[i];if(void 0===o)if(o=n._tinySDF(a,r,i))e(null,{stack:r,id:i,glyph:o});else{var s=Math.floor(i/256);if(256*s>65535)e(new Error("glyphs > 65535 not supported"));else{var l=a.requests[s];l||(l=a.requests[s]=[],y.loadGlyphRange(r,s,n.url,n.requestManager,function(t,e){if(e)for(var r in e)a.glyphs[+r]=e[+r];for(var n=0,i=l;n<i.length;n+=1)(0,i[n])(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)}})},y.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&(t.isChar["CJK Unified Ideographs"](n)||t.isChar["Hangul Syllables"](n)||t.isChar.Hiragana(n)||t.isChar.Katakana(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 y.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}}}},y.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)}})},y.TinySDF=p;var x=function(){this.specification=t.styleSpec.light.position};x.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},x.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 x,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),_=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,"-transition")?this._transitionable.setTransition(n.slice(0,-"-transition".length),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),w=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.bytes=4,this.data=new Uint8Array(this.width*this.height*this.bytes),this.positions={}};w.prototype.getDash=function(t,e){var r=t.join(",")+String(e);return this.positions[r]||(this.positions[r]=this.addDash(t,e)),this.positions[r]},w.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];for(var s=this.width/a,l=s/2,c=e.length%2==1,u=-n;u<=n;u++)for(var h=this.nextRow+n+u,f=this.width*h,p=c?-e[e.length-1]:0,d=e[0],g=1,v=0;v<this.width;v++){for(;d<v/s;)p=d,d+=e[g],c&&g===e.length-1&&(d+=e[0]),g++;var m=Math.abs(v-p*s),y=Math.abs(v-d*s),x=Math.min(m,y),b=g%2==1,_=void 0;if(r){var w=n?u/n*(l+1):0;if(b){var k=l-Math.abs(w);_=Math.sqrt(x*x+k*k)}else _=l-Math.sqrt(x*x+w*w)}else _=(b?1:-1)*x;this.data[3+4*(f+v)]=Math.max(0,Math.min(255,_+128))}var T={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,T},w.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.RGBA,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.RGBA,this.width,this.height,0,e.RGBA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var 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 T(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(a,["tiles","minzoom","maxzoom","attribution","mapbox_logo","bounds"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map(function(t){return t.id})),e.url&&(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)})}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,function(t,n){t.send(e,r,n)},n)},k.prototype.send=function(t,e,r,n){return("number"!=typeof n||isNaN(n))&&(n=this.currentActor=(this.currentActor+1)%this.actors.length),this.actors[n].send(t,e,r),n},k.prototype.remove=function(){this.actors.forEach(function(t){t.remove()}),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var A=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};A.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},A.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),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 M=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,t.extend(this,t.pick(n,["url","scheme","tileSize"])),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.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=T(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.url,null),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};function a(n,i){return 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,void 0===e.workerID||"expired"===e.state?e.workerID=this.dispatcher.send("loadTile",i,a.bind(this)):"loading"===e.state?e.reloadCallback=r:this.dispatcher.send("reloadTile",i,a.bind(this),e.workerID)},r.prototype.abortTile=function(t){this.dispatcher.send("abortTile",{uid:t.uid,type:this.type,source:this.id},void 0,t.workerID)},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.dispatcher.send("removeTile",{uid:t.uid,type:this.type,source:this.id},void 0,t.workerID)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),S=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({},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.fire(new t.Event("dataloading",{dataType:"source"})),this._tileJSONRequest=T(this._options,this.map._requestManager,function(r,n){e._tileJSONRequest=null,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new A(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"metadata"})),e.fire(new t.Event("data",{dataType:"source",sourceDataType:"content"})))})},r.prototype.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.url,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),E=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({},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.url,this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,i){if(delete e.request,e.aborted)e.state="unloaded",r(null);else if(n)e.state="errored",r(n);else if(i){this.map._refreshExpiredTiles&&e.setExpiryData(i),delete i.cacheControl,delete i.expires;var a=t.browser.getImageData(i),o={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:a,encoding:this.encoding};e.workerID&&"expired"!==e.state||(e.workerID=this.dispatcher.send("loadDEMTile",o,function(t,n){t&&(e.state="errored",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state="loaded",r(null))}.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",this.dispatcher.send("removeDEMTile",{uid:t.uid,source:this.id},void 0,t.workerID)},r}(S),C=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.dispatcher=i,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);var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:"source",sourceDataType:"metadata"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event("data",n))}})},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event("dataloading",{dataType:"source"})),this._updateWorkerData(function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:"source",sourceDataType:"content"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event("data",n))}}),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.dispatcher.send("geojson.getClusterExpansionZoom",{clusterId:t,source:this.id},e,this.workerID),this},r.prototype.getClusterChildren=function(t,e){return this.dispatcher.send("geojson.getClusterChildren",{clusterId:t,source:this.id},e,this.workerID),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.dispatcher.send("geojson.getClusterLeaves",{source:this.id,clusterId:t,limit:e,offset:r},n,this.workerID),this},r.prototype._updateWorkerData=function(e){var r=this,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.workerID=this.dispatcher.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.dispatcher.send(r.type+".coalesce",{source:n.source},null,r.workerID),e(t))},this.workerID)},r.prototype.loadTile=function(e,r){var n=this,i=void 0===e.workerID?"loadTile":"reloadTile",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};e.workerID=this.dispatcher.send(i,a,function(t,a){return e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,"reloadTile"===i),r(null))},this.workerID)},r.prototype.abortTile=function(t){t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.dispatcher.send("removeTile",{uid:t.uid,type:this.type,source:this.id},null,t.workerID)},r.prototype.onRemove=function(){this._removed=!0,this.dispatcher.send("removeSource",{type:this.type,source:this.id},null,this.workerID)},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=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.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.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){i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())})},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,t.rasterBoundsAttributes.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),P=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,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){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.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,t.rasterBoundsAttributes.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}(L),O=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.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,t.rasterBoundsAttributes.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}(L),z={vector:M,raster:S,"raster-dem":E,geojson:C,video:P,image:L,canvas:O},I=function(e,r,n,i){var a=new z[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};function D(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 R(t,e,r,n,i){var a=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}(n&&n.layers,e,t.id),o=i.maxPitchScaleFactor(),s=t.tilesIn(r,o,a);s.sort(F);for(var l=[],c=0,u=s;c<u.length;c+=1){var h=u[c];l.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,n,i,o,D(t.transform,h.tileID))})}var f=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 g=d[p];h[g.featureIndex]||(h[g.featureIndex]=!0,f.push(g))}}return e}(l);for(var p in f)f[p].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 f}function F(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 B=function(t,e){this.max=t,this.onRemove=e,this.reset()};B.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},B.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout(function(){n.remove(t,a)},r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},B.prototype.has=function(t){return t.wrapped().key in this.data},B.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},B.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},B.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},B.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},B.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this};var N=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete 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xt(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")};Et.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()},Et.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},Et.prototype.createIndexBuffer=function(t,e){return new N(this,t,e)},Et.prototype.createVertexBuffer=function(t,e,r){return new U(this,t,e,r)},Et.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},Et.prototype.createFramebuffer=function(t,e){return new kt(this,t,e)},Et.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)},Et.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))},Et.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)},Et.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)},Et.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Mt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Et.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=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=I(r,n,i,this),this._tiles={},this._cache=new B(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,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;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 Object.keys(this._tiles).map(Number).sort(Lt)},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(+i,e)&&n.push(+i);return e?n.sort(function(e,n){var i=r._tiles[e].tileID,a=r._tiles[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}):n.sort(Lt)},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.getZoom=function(t){return t.zoom+t.scaleZoom(t.tileSize/this._source.tileSize)},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){for(var r=t.overscaledZ-1;r>=e;r--){var n=t.scaledTo(r);if(!n)return;var i=String(n.key),a=this._tiles[i];if(a&&a.hasData())return a;if(this._cache.has(n))return this._cache.get(n)}},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=(this._source.roundZoom?Math.round:Math.floor)(this.getZoom(e)),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Pt(this._source.type)){for(var c={},u={},h=0,f=Object.keys(l);h<f.length;h+=1){var p=f[h],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var v=this.findLoadedParent(d,o);v&&(this._addTile(v.tileID),c[v.tileID.key]=v.tileID),u[p]=d}}for(var m in this._retainLoadedChildren(u,a,s,l),c)l[m]||(this._coveredTiles[m]=!0,l[m]=c[m])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}}},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],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var v=d.children(this._source.maxzoom)[0],m=this.getTile(v);if(m&&m.hasData()){n[v.key]=v;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},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()?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,g=0,v=c;g<v.length;g+=1){var m=v[g];h=Math.min(h,m.x),f=Math.min(f,m.y),p=Math.max(p,m.x),d=Math.max(d,m.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),v=r*n.queryPadding*t.EXTENT/n.tileSize/g,m=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(m[0].x-v<t.EXTENT&&m[0].y-v<t.EXTENT&&m[1].x+v>=0&&m[1].y+v>=0){var y=l.map(function(t){return s.getTilePoint(t)}),x=c.map(function(t){return s.getTilePoint(t)});a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(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(Pt(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}(t.Evented);function Lt(t,e){return t%32-e%32||e-t}function Pt(t){return"raster"===t||"image"===t||"video"===t}function Ot(){return new t.window.Worker(Jn.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=function(){this.active={}};zt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<zt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},zt.prototype.release=function(t){delete this.active[t],0===Object.keys(this.active).length&&(this.workers.forEach(function(t){t.terminate()}),this.workers=null)};var It,Dt=Math.floor(t.browser.hardwareConcurrency/2);function Rt(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 Ft(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]=Rt(t[n],e[t[n].ref]));return t}zt.workerCount=Math.max(Math.min(Dt,6),1);var Bt={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 Nt(t,e,r){r.push({command:Bt.addSource,args:[t,e[t]]})}function jt(t,e,r){e.push({command:Bt.removeSource,args:[t]}),r[t]=!0}function Ut(t,e,r,n){jt(t,r,n),Nt(t,e,r)}function Vt(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 qt(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 Ht(t){return t.id}function Gt(t,e){return t[e.id]=e,t}var Yt=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 Wt(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 Xt(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 Zt(e,r){var n=[e.x,e.y,0,1];ae(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function Jt(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 Kt(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,g=n.transform.width/n.transform.height,v=!1,m=0;m<d.length;m++){var y=d.get(m);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!v)ie(y.numGlyphs,f);else{v=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),Jt(x,h)){var b=.5+x[3]/n.transform.cameraToCenterDistance*.5,_=t.evaluateSizeForFeature(c,u,y),w=s?_*b:_/b,k=new t.Point(y.anchorX,y.anchorY),T=Zt(k,a).point,A={},M=te(y,w,!1,l,r,a,o,e.glyphOffsetArray,p,f,T,k,A,g);v=M.useVertical,(M.notEnoughRoom||v||M.needsFlipping&&te(y,w,!0,l,r,a,o,e.glyphOffsetArray,p,f,T,k,A,g).notEnoughRoom)&&ie(y.numGlyphs,f)}else ie(y.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function $t(t,e,r,n,i,a,o,s,l,c,u,h){var f=s.glyphStartIndex+s.numGlyphs,p=s.lineStartIndex,d=s.lineStartIndex+s.lineLength,g=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),m=re(t*g,r,n,i,a,o,s.segment,p,d,l,c,u,h);if(!m)return null;var y=re(t*v,r,n,i,a,o,s.segment,p,d,l,c,u,h);return y?{first:m,last:y}:null}function Qt(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function te(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var g,v=r/24,m=e.lineOffsetX*v,y=e.lineOffsetY*v;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=$t(v,l,m,y,n,h,f,e,c,o,p,!1);if(!w)return{notEnoughRoom:!0};var k=Zt(w.first.point,s).point,T=Zt(w.last.point,s).point;if(i&&!n){var A=Qt(e.writingMode,k,T,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(re(v*l.getoffsetX(M),m,y,n,h,f,e.segment,b,_,c,o,p,!1));g.push(w.last)}else{if(i&&!n){var S=Zt(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=Zt(C,a),P=L.signedDistanceFromCamera>0?L.point:ee(f,C,S,1,a),O=Qt(e.writingMode,S,P,d);if(O)return O}var z=re(v*l.getoffsetX(e.glyphStartIndex),m,y,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p,!1);if(!z)return{notEnoughRoom:!0};g=[z]}for(var I=0,D=g;I<D.length;I+=1){var R=D[I];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function ee(t,e,r,n,i){var a=Zt(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function re(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=i?e-r:e+r,g=d>0?1:-1,v=0;i&&(g*=-1,v=Math.PI),g<0&&(v+=Math.PI);for(var m=g>0?l+s:l+s+1,y=m,x=a,b=a,_=0,w=0,k=Math.abs(d);_+w<=k;){if((m+=g)<l||m>=c)return null;if(b=x,void 0===(x=f[m])){var T=new t.Point(u.getx(m),u.gety(m)),A=Zt(T,h);if(A.signedDistanceFromCamera>0)x=f[m]=A.point;else{var M=m-g;x=ee(0===_?o:new t.Point(u.getx(M),u.gety(M)),T,b,k-_+1,h)}}_+=w,w=b.dist(x)}var S=(k-_)/w,E=x.sub(b),C=E.mult(S)._add(b);return C._add(E._unit()._perp()._mult(n*g)),{point:C,angle:v+Math.atan2(x.y-b.y,x.x-b.x),tileDistance:p?{prevTileDistance:m-g===y?0:u.gettileUnitDistanceFromAnchor(m-g),lastSegmentViewportDistance:k-_}:null}}Yt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Yt.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)},Yt.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)},Yt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Yt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Yt.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},Yt.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},Yt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Yt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Yt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Yt.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 g=this.circleCells[i];if(null!==g)for(var v=this.circles,m=0,y=g;m<y.length;m+=1){var x=y[m];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(v[b],v[b+1],v[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=v[b],w=v[b+1],k=v[b+2];a.push({key:this.circleKeys[x],x1:_-k,y1:w-k,x2:_+k,y2:w+k})}}}},Yt.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 g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[g+0],h[g+1],h[g+2],h[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var v=this.circleCells[i];if(null!==v)for(var m=this.circles,y=0,x=v;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(m[_],m[_+1],m[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Yt.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}},Yt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Yt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Yt.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},Yt.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 ne=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ie(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ne,3*n)}}function ae(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 oe=function(t,e,r){void 0===e&&(e=new Yt(t.width+200,t.height+200,25)),void 0===r&&(r=new Yt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function se(t,e,r){t[e+4]=r?1:0}function le(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}oe.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)}},oe.prototype.approximateTileDistance=function(t,e,r,n,i){var a=i?1:n/this.pitchfactor,o=t.lastSegmentViewportDistance*r;return t.prevTileDistance+o+(a-1)*o*Math.abs(Math.sin(e))},oe.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],g=this.projectAnchor(c,a.anchorX,a.anchorY),v=l/24,m=a.lineOffsetX*l,y=a.lineOffsetY*l,x=new t.Point(a.anchorX,a.anchorY),b=$t(v,s,m,y,!1,Zt(x,u).point,x,a,o,u,{},!0),_=!1,w=!1,k=!0,T=g.perspectiveRatio*i,A=1/(i*n),M=0,S=0;b&&(M=this.approximateTileDistance(b.first.tileDistance,b.first.angle,A,g.cameraDistance,f),S=this.approximateTileDistance(b.last.tileDistance,b.last.angle,A,g.cameraDistance,f));for(var E=0;E<e.length;E+=5){var C=e[E],L=e[E+1],P=e[E+2],O=e[E+3];if(!b||O<-M||O>S)se(e,E,!1);else{var z=this.projectPoint(c,C,L),I=P*T;if(d.length>0){var D=z.x-d[d.length-4],R=z.y-d[d.length-3];if(I*I*2>D*D+R*R&&E+8<e.length){var F=e[E+8];if(F>-M&&F<S){se(e,E,!1);continue}}}var B=E/5;d.push(z.x,z.y,I,B),se(e,E,!0);var N=z.x-I,j=z.y-I,U=z.x+I,V=z.y+I;if(k=k&&this.isOffscreen(N,j,U,V),w=w||this.isInsideGrid(N,j,U,V),!r&&this.grid.hitTestCircle(z.x,z.y,I,p)){if(!h)return{circles:[],offscreen:!1};_=!0}}}return{circles:_||!w?[]:d,offscreen:k}},oe.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+100,c.y+100);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 g=d[p],v=g.key;if(void 0===h[v.bucketInstanceId]&&(h[v.bucketInstanceId]={}),!h[v.bucketInstanceId][v.featureIndex]){var m=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,m)&&(h[v.bucketInstanceId][v.featureIndex]=!0,void 0===f[v.bucketInstanceId]&&(f[v.bucketInstanceId]=[]),f[v.bucketInstanceId].push(v.featureIndex))}}return f},oe.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])},oe.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])},oe.prototype.projectAnchor=function(t,e,r){var n=[e,r,0,1];return ae(n,n,t),{perspectiveRatio:.5+this.transform.cameraToCenterDistance/n[3]*.5,cameraDistance:n[3]}},oe.prototype.projectPoint=function(e,r,n){var i=[r,n,0,1];return ae(i,i,e),new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100)},oe.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return ae(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},oe.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},oe.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary};var ce=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};ce.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ue=function(t,e,r,n,i){this.text=new ce(t?t.text:null,e,r,i),this.icon=new ce(t?t.icon:null,e,n,i)};ue.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var he=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},fe=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},pe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function de(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateRadialOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}pe.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 ge=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new oe(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new pe(r),this.prevPlacement=n,n&&(n.prevPlacement=void 0)};function ve(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)}ge.prototype.placeLayerTile=function(e,r,n,i){var a=r.getBucket(e),o=r.latestFeatureIndex;if(a&&o&&e.id===a.layerIds[0]){var s=r.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-r.tileID.overscaledZ),u=r.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(r.tileID.toUnwrapped()),f=Wt(h,"map"===l.get("text-pitch-alignment"),"map"===l.get("text-rotation-alignment"),this.transform,le(r,1,this.transform.zoom)),p=Wt(h,"map"===l.get("icon-pitch-alignment"),"map"===l.get("icon-rotation-alignment"),this.transform,le(r,1,this.transform.zoom));this.retainedQueryData[a.bucketInstanceId]=new fe(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,r.tileID),this.placeLayerBucket(a,h,f,p,c,u,n,r.holdingForFade(),i,s)}},ge.prototype.attemptAnchorPlacement=function(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var g,v=de(e,n,i,a,o),m=this.collisionIndex.placeCollisionBox(function(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}}(r,v.x,v.y,s,l,this.transform.angle),f,c,u,h.predicate);if(m.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(g=this.prevPlacement.variableOffsets[p.crossTileID].anchor),this.variableOffsets[p.crossTileID]={radialOffset:a,width:n,height:i,anchor:e,textBoxScale:o,prevAnchor:g},this.markUsedJustification(d,e,p),m},ge.prototype.placeLayerBucket=function(e,r,n,i,a,o,s,l,c,u){var h=this,f=e.layers[0].layout,p=t.evaluateSizeForZoom(e.textSizeData,this.transform.zoom),d=f.get("text-optional"),g=f.get("icon-optional"),v=f.get("text-allow-overlap"),m=f.get("icon-allow-overlap"),y=v&&(m||!e.hasIconData()||g),x=m&&(v||!e.hasTextData()||d),b=this.collisionGroups.get(e.sourceID),_="map"===f.get("text-rotation-alignment"),w="map"===f.get("text-pitch-alignment"),k="viewport-y"===f.get("symbol-z-order");!e.collisionArrays&&u&&e.deserializeCollisionBoxes(u);var T=function(i,u){if(!c[i.crossTileID])if(l)h.placements[i.crossTileID]=new he(!1,!1,!1);else{var m=!1,k=!1,T=!0,A=null,M=null,S=null,E=0,C=0;u.textFeatureIndex&&(E=u.textFeatureIndex);var L=u.textBox;if(L)if(f.get("text-variable-anchor")){var P=L.x2-L.x1,O=L.y2-L.y1,z=i.textBoxScale,I=f.get("text-variable-anchor");if(h.prevPlacement&&h.prevPlacement.variableOffsets[i.crossTileID]){var D=h.prevPlacement.variableOffsets[i.crossTileID];I[0]!==D.anchor&&(I=I.filter(function(t){return t!==D.anchor})).unshift(D.anchor)}for(var R=0,F=I;R<F.length;R+=1){var B=F[R];if(A=h.attemptAnchorPlacement(B,L,P,O,i.radialTextOffset,z,_,w,o,r,b,v,i,e)){m=!0;break}}if(!h.variableOffsets[i.crossTileID]&&h.prevPlacement){var N=h.prevPlacement.variableOffsets[i.crossTileID];N&&(h.variableOffsets[i.crossTileID]=N,h.markUsedJustification(e,N.anchor,i))}}else m=(A=h.collisionIndex.placeCollisionBox(L,f.get("text-allow-overlap"),o,r,b.predicate)).box.length>0;T=A&&A.offscreen;var j=u.textCircles;if(j){var U=e.text.placedSymbolArray.get(i.centerJustifiedTextSymbolIndex),V=t.evaluateSizeForFeature(e.textSizeData,p,U);M=h.collisionIndex.placeCollisionCircles(j,f.get("text-allow-overlap"),a,o,U,e.lineVertexArray,e.glyphOffsetArray,V,r,n,s,w,b.predicate),m=f.get("text-allow-overlap")||M.circles.length>0,T=T&&M.offscreen}u.iconFeatureIndex&&(C=u.iconFeatureIndex),u.iconBox&&(k=(S=h.collisionIndex.placeCollisionBox(u.iconBox,f.get("icon-allow-overlap"),o,r,b.predicate)).box.length>0,T=T&&S.offscreen);var q=d||0===i.numHorizontalGlyphVertices&&0===i.numVerticalGlyphVertices,H=g||0===i.numIconVertices;q||H?H?q||(k=k&&m):m=k&&m:k=m=k&&m,m&&A&&h.collisionIndex.insertCollisionBox(A.box,f.get("text-ignore-placement"),e.bucketInstanceId,E,b.ID),k&&S&&h.collisionIndex.insertCollisionBox(S.box,f.get("icon-ignore-placement"),e.bucketInstanceId,C,b.ID),m&&M&&h.collisionIndex.insertCollisionCircles(M.circles,f.get("text-ignore-placement"),e.bucketInstanceId,E,b.ID),h.placements[i.crossTileID]=new he(m||y,k||x,T||e.justReloaded),c[i.crossTileID]=!0}};if(k)for(var A=e.getSortedSymbolIndexes(this.transform.angle),M=A.length-1;M>=0;--M){var S=A[M];T(e.symbolInstances.get(S),e.collisionArrays[S])}else for(var E=0;E<e.symbolInstances.length;++E)T(e.symbolInstances.get(E),e.collisionArrays[E]);e.justReloaded=!1},ge.prototype.markUsedJustification=function(e,r,n){var i={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex},a=i[t.getAnchorJustification(r)];for(var o in i){var s=i[o];s>=0&&(e.text.placedSymbolArray.get(s).crossTileID=a>=0&&s!==a?0:n.crossTileID)}},ge.prototype.commit=function(t){this.commitTime=t;var e=this.prevPlacement,r=!1,n=e&&0!==this.fadeDuration?(this.commitTime-e.commitTime)/this.fadeDuration:1,i=e?e.opacities:{},a=e?e.variableOffsets:{};for(var o in this.placements){var s=this.placements[o],l=i[o];l?(this.opacities[o]=new ue(l,n,s.text,s.icon),r=r||s.text!==l.text.placed||s.icon!==l.icon.placed):(this.opacities[o]=new ue(null,n,s.text,s.icon,s.skipFade),r=r||s.text||s.icon)}for(var c in i){var u=i[c];if(!this.opacities[c]){var h=new ue(u,n,!1,!1);h.isHidden()||(this.opacities[c]=h,r=r||u.text.placed||u.icon.placed)}}for(var f in a)this.variableOffsets[f]||!this.opacities[f]||this.opacities[f].isHidden()||(this.variableOffsets[f]=a[f]);r?this.lastPlacementChangeTime=t:"number"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},ge.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)}},ge.prototype.updateBucketOpacities=function(e,r,n){e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasCollisionBoxData()&&e.collisionBox.collisionVertexArray.clear(),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexArray.clear();var i=e.layers[0].layout,a=new ue(null,0,!1,!1,!0),o=i.get("text-allow-overlap"),s=i.get("icon-allow-overlap"),l=i.get("text-variable-anchor"),c="map"===i.get("text-rotation-alignment"),u="map"===i.get("text-pitch-alignment"),h=new ue(null,0,o&&(s||!e.hasIconData()||i.get("icon-optional")),s&&(o||!e.hasTextData()||i.get("text-optional")),!0);!e.collisionArrays&&n&&(e.hasCollisionBoxData()||e.hasCollisionCircleData())&&e.deserializeCollisionBoxes(n);for(var f=0;f<e.symbolInstances.length;f++){var p=e.symbolInstances.get(f),d=p.numHorizontalGlyphVertices,g=p.numVerticalGlyphVertices,v=p.crossTileID,m=r[v],y=this.opacities[v];m?y=a:y||(y=h,this.opacities[v]=y),r[v]=!0;var x=d>0||g>0,b=p.numIconVertices>0;if(x){for(var _=Te(y.text),w=(d+g)/4,k=0;k<w;k++)e.text.opacityVertexArray.emplaceBack(_);var T=y.text.isHidden()?1:0;[p.rightJustifiedTextSymbolIndex,p.centerJustifiedTextSymbolIndex,p.leftJustifiedTextSymbolIndex,p.verticalPlacedTextSymbolIndex].forEach(function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=T)});var A=this.variableOffsets[p.crossTileID];A&&this.markUsedJustification(e,A.anchor,p)}if(b){for(var M=Te(y.icon),S=0;S<p.numIconVertices/4;S++)e.icon.opacityVertexArray.emplaceBack(M);e.icon.placedSymbolArray.get(f).hidden=y.icon.isHidden()}if(e.hasCollisionBoxData()||e.hasCollisionCircleData()){var E=e.collisionArrays[f];if(E){if(E.textBox){var C=new t.Point(0,0),L=!0;if(l){var P=this.variableOffsets[v];P?(C=de(P.anchor,P.width,P.height,P.radialOffset,P.textBoxScale),c&&C._rotate(u?this.transform.angle:-this.transform.angle)):L=!1}ve(e.collisionBox.collisionVertexArray,y.text.placed,!L,C.x,C.y)}E.iconBox&&ve(e.collisionBox.collisionVertexArray,y.icon.placed,!1);var O=E.textCircles;if(O&&e.hasCollisionCircleData())for(var z=0;z<O.length;z+=5){var I=m||0===O[z+4];ve(e.collisionCircle.collisionVertexArray,y.text.placed,I)}}}}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.hasCollisionBoxData()&&e.collisionBox.collisionVertexBuffer&&e.collisionBox.collisionVertexBuffer.updateData(e.collisionBox.collisionVertexArray),e.hasCollisionCircleData()&&e.collisionCircle.collisionVertexBuffer&&e.collisionCircle.collisionVertexBuffer.updateData(e.collisionCircle.collisionVertexArray)},ge.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration},ge.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},ge.prototype.stillRecent=function(t){return this.commitTime+this.fadeDuration>t},ge.prototype.setStale=function(){this.stale=!0};var me=Math.pow(2,25),ye=Math.pow(2,24),xe=Math.pow(2,17),be=Math.pow(2,16),_e=Math.pow(2,9),we=Math.pow(2,8),ke=Math.pow(2,1);function Te(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*me+e*ye+r*xe+e*be+r*_e+e*we+r*ke+e}var Ae=function(){this._currentTileIndex=0,this._seenCrossTileIDs={}};Ae.prototype.continuePlacement=function(t,e,r,n,i){for(;this._currentTileIndex<t.length;){var a=t[this._currentTileIndex];if(e.placeLayerTile(n,a,r,this._seenCrossTileIDs),this._currentTileIndex++,i())return!0}};var Me=function(t,e,r,n,i,a,o){this.placement=new ge(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Me.prototype.isDone=function(){return this._done},Me.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 Ae),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Me.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Se=512/t.EXTENT/2,Ee=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)})}};Ee.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Se/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)}},Ee.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 Ce=function(){this.maxCrossTileID=0};Ce.prototype.generate=function(){return++this.maxCrossTileID};var Le=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Le.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},Le.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 Ee(t,e.symbolInstances,e.bucketInstanceId),!0},Le.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]}},Le.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 Pe=function(){this.layerIndexes={},this.crossTileIDs=new Ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Pe.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Le);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},Pe.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 Oe=function(e,r){return t.emitValidationErrors(e,r&&r.filter(function(t){return"source.canvas"!==t.identifier}))},ze=t.pick(Bt,["addLayer","removeLayer","setPaintProperty","setLayoutProperty","setFilter","addSource","removeSource","setLayerZoomRange","setLight","setTransition","setGeoJSONSourceData"]),Ie=t.pick(Bt,["setCenter","setZoom","setBearing","setPitch"]),De=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k((It||(It=new zt),It),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new y(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new w(256,512),this.crossTileSymbolIndex=new Pe,this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._resetUpdates(),this.dispatcher.broadcast("setReferrer",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginAvailability(function(t){for(var e in o.dispatcher.broadcast("loadRTLTextPlugin",t.pluginURL,t.completionCallback),o.sourceCaches)o.sourceCaches[e].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._load=function(e,r){var n=this;if(!r||!Oe(this,t.validateStyle(e))){for(var i in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(i,e.sources[i],{validate:!1});e.sprite?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,g=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,g,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:g,pixelRatio:d,sdf:p}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e.sprite,this.map._requestManager,function(e,r){if(n._spriteRequest=null,e)n.fire(new t.ErrorEvent(e));else if(r)for(var i in r)n.imageManager.addImage(i,r[i]);n.imageManager.setLoaded(!0),n.fire(new t.Event("data",{dataType:"style"}))}):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var a=Ft(this.stylesheet.layers);this._order=a.map(function(t){return t.id}),this._layers={};for(var o=0,s=a;o<s.length;o+=1){var l=s[o];(l=t.createStyleLayer(l)).setEventedParent(this,{layer:{id:l.id}}),this._layers[l.id]=l}this.dispatcher.broadcast("setLayers",this._serializeLayers(this._order)),this.light=new _(this.stylesheet.light),this.fire(new t.Event("data",{dataType:"style"})),this.fire(new t.Event("style.load"))}},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._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];f.recalculate(e),!f.isHidden(e.zoom)&&f.source&&(this.sourceCaches[f.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event("data",{dataType:"style"}))}},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={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),Oe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Ft(e.layers);var n=function(e,r){if(!e)return[{command:Bt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Bt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Bt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Bt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Bt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Bt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Bt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Bt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Bt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Bt.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)||jt(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&&Vt(e,r,a)?n.push({command:Bt.setGeoJSONSourceData,args:[a,r[a].data]}):Ut(a,r,n,i)):Nt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach(function(t){i[t.source]?n.push({command:Bt.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(Ht),f=r.map(Ht),p=e.reduce(Gt,{}),d=r.reduce(Gt,{}),g=h.slice(),v=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:Bt.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Bt.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Bt.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),v[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!v[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 qt(s.layout,l.layout,n,o,null,Bt.setLayoutProperty),qt(s.paint,l.paint,n,o,null,Bt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Bt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Bt.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.")?qt(s[u],l[u],n,o,u.slice(6),Bt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Bt.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.")?qt(s[u],l[u],n,o,u.slice(6),Bt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Bt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Bt.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Bt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn("Unable to compute style diff:",t),n=[{command:Bt.setStyle,args:[r]}]}return n}(this.serialize(),e).filter(function(t){return!(t.command in Ie)});if(0===n.length)return!1;var i=n.filter(function(t){return!(t.command in ze)});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.fire(new t.Event("data",{dataType:"style"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error("No image with this name exists.")));this.imageManager.removeImage(e),this.fire(new t.Event("data",{dataType:"style"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error("There is already a source with this ID");if(!r.type)throw new Error("The type property must be defined, but the only the following properties were given: "+Object.keys(r).join(", ")+".");if(!(["vector","raster","geojson","video","image"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,"sources."+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(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(Oe(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}})}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._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.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],o=parseInt(e.id,10);if(void 0!==a){var s=a.getSource().type;"geojson"===s&&i?this.fire(new t.ErrorEvent(new Error("GeoJSON sources cannot have a sourceLayer parameter."))):"vector"!==s||i?isNaN(o)||o<0?this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided and non-negative."))):a.setFeatureState(i,o,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,s=parseInt(e.id,10);"vector"!==a||o?void 0!==e.id&&isNaN(s)||s<0?this.fire(new t.ErrorEvent(new Error("The feature id parameter must be non-negative."))):r&&"string"!=typeof e.id&&"number"!=typeof e.id?this.fire(new t.ErrorEvent(new Error("A feature id is requred to remove its specific state property."))):i.removeFeatureState(o,s,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],a=parseInt(e.id,10);if(void 0!==i)if("vector"!==i.getSource().type||n){if(!(isNaN(a)||a<0))return i.getFeatureState(n,a);this.fire(new t.ErrorEvent(new Error("The feature id parameter must be provided and non-negative.")))}else 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]&&(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 g=this._order[d];if(r(g))for(var v=i.length-1;v>=0;v--){var m=i[v].feature;if(n[m.layer.id]<d)break;p.push(m),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var k=w[_];p.push(k.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 this.sourceCaches)r.layers&&!i[u]||c.push(R(this.sourceCaches[u],this._layers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a){for(var o={},s=i.queryRenderedSymbols(r),l=[],c=0,u=Object.keys(s).map(Number);c<u.length;c+=1){var h=u[c];l.push(a[h])}l.sort(F);for(var f=function(){var e=d[p],r=e.featureIndex.lookupSymbolFeatures(s[e.bucketInstanceId],e.bucketIndex,e.sourceLayerIndex,n.filter,n.layers,t);for(var i in r){var a=o[i]=o[i]||[],l=r[i];l.sort(function(t,r){var n=e.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(r.featureIndex)-i}return r.featureIndex-t.featureIndex});for(var c=0,u=l;c<u.length;c+=1){var h=u[c];a.push(h)}}},p=0,d=l;p<d.length;p+=1)f();var g=function(r){o[r].forEach(function(n){var i=n.feature,a=t[r],o=e[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 v in o)g(v);return o}(this._layers,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)&&Oe(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("pluginAvailable",this._rtlTextPluginCallback),this.sourceCaches)this.sourceCaches[e].clearTiles();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){for(var a=!1,o=!1,s={},l=0,c=this._order;l<c.length;l+=1){var u=c[l],h=this._layers[u];if("symbol"===h.type){if(!s[h.source]){var f=this.sourceCaches[h.source];s[h.source]=f.getRenderableIds(!0).map(function(t){return f.getTileByID(t)}).sort(function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)})}var p=this.crossTileSymbolIndex.addLayer(h,s[h.source],e.center.lng);a=a||p}}this.crossTileSymbolIndex.pruneUnusedLayers(this._order);var d=this._layerOrderChanged||0===n;if((d||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now()))&&(this.pauseablePlacement=new Me(e,this._order,d,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,s),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),o=!0),a&&this.pauseablePlacement.placement.setStale()),o||a)for(var g=0,v=this._order;g<v.length;g+=1){var m=v[g],y=this._layers[m];"symbol"===y.type&&this.placement.updateLayerOpacities(y,s[y.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)},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);De.getSourceType=function(t){return z[t]},De.setSourceType=function(t,e){z[t]=e},De.registerForPluginAvailability=t.registerForPluginAvailability;var Re=t.createLayout([{name:"a_pos",type:"Int16",components:2}]),Fe=lr("#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;}"),Be=lr("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);}"),Ne=lr("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);}"),je=lr("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);}"),Ue=lr("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);}"),Ve=lr("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;}"),qe=lr("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;}"),He=lr("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;}"),Ge=lr("uniform float u_overscale_factor;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;void main() {float alpha=0.5;vec4 color=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {color=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {color*=.2;}float extrude_scale_length=length(v_extrude_scale);float extrude_length=length(v_extrude)*extrude_scale_length;float stroke_width=15.0*extrude_scale_length/u_overscale_factor;float radius=v_radius*extrude_scale_length;float distance_to_edge=abs(extrude_length-radius);float opacity_t=smoothstep(-stroke_width,0.0,-distance_to_edge);gl_FragColor=opacity_t*color;}","attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;varying float v_radius;varying vec2 v_extrude;varying vec2 v_extrude_scale;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);highp float padding_factor=1.2;gl_Position.xy+=a_extrude*u_extrude_scale*padding_factor*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;v_radius=abs(a_extrude.y);v_extrude=a_extrude*padding_factor;v_extrude_scale=u_extrude_scale*u_camera_to_center_distance*collision_perspective_ratio;}"),Ye=lr("uniform highp vec4 u_color;void main() {gl_FragColor=u_color;}","attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}"),We=lr("#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);}"),Xe=lr("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;}"),Ze=lr("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 vec4 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\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;float pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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;}"),Je=lr("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 vec4 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\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;float pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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);}"),Ke=lr("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;}"),$e=lr("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\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\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 vec4 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\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\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 pixelRatio=u_scale.x;float tileRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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;}"),Qe=lr("#ifdef GL_ES\nprecision highp float;\n#endif\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;return (data.r+data.g*256.0+data.b*256.0*256.0)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}"),tr=lr("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;}"),er=lr("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);}"),rr=lr("uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\n#ifdef OVERDRAW_INSPECTOR\ngl_FragColor=vec4(1.0);\n#endif\n}","\n#define MAX_LINE_DISTANCE 32767.0\n#define scale 0.015873016\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\n#pragma mapbox: define lowp float blur\n#pragma mapbox: define lowp float opacity\n#pragma mapbox: define mediump float gapwidth\n#pragma mapbox: define lowp float offset\n#pragma mapbox: define mediump float width\nvoid main() {\n#pragma mapbox: initialize lowp float blur\n#pragma mapbox: initialize lowp float opacity\n#pragma mapbox: initialize mediump float gapwidth\n#pragma mapbox: initialize lowp float offset\n#pragma mapbox: initialize mediump float width\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}"),nr=lr("uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec4 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;\n#pragma mapbox: define lowp vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_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 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 pixelRatio=u_scale.x;float tileZoomRatio=u_scale.y;float fromScale=u_scale.z;float toScale=u_scale.w;vec2 display_size_a=vec2((pattern_br_a.x-pattern_tl_a.x)/pixelRatio,(pattern_br_a.y-pattern_tl_a.y)/pixelRatio);vec2 display_size_b=vec2((pattern_br_b.x-pattern_tl_b.x)/pixelRatio,(pattern_br_b.y-pattern_tl_b.y)/pixelRatio);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 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,1.0);float x_b=mod(v_linesofar/pattern_size_b.x,1.0);float y_a=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_a.y+2.0)/2.0)/pattern_size_a.y);float y_b=0.5+(v_normal.y*clamp(v_width2.s,0.0,(pattern_size_b.y+2.0)/2.0)/pattern_size_b.y);vec2 pos_a=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,vec2(x_a,y_a));vec2 pos_b=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,vec2(x_b,y_b));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;\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 vec4 pattern_from\n#pragma mapbox: define lowp vec4 pattern_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 mediump vec4 pattern_from\n#pragma mapbox: initialize mediump vec4 pattern_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);}"),ir=lr("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);}"),ar=lr("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;}"),or=lr("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 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;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[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} 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),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));}"),sr=lr("#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 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;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[0],a_size[1],u_size_t)/256.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size[0]/256.0;} else if (!u_is_size_zoom_constant && u_is_size_feature_constant) {size=u_size;} 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),0.0,1.0);float gamma_scale=gl_Position.w;vec2 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 interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=vec2(tex.x,tex.y);v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}");function lr(t,e){var r=/#pragma mapbox: ([\w]+) ([\w]+) ([\w]+) ([\w]+)/g,n={};return{fragmentSource:t=t.replace(r,function(t,e,r,i,a){return n[a]=!0,"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"\n#ifdef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"}),vertexSource:e=e.replace(r,function(t,e,r,i,a){var o="float"===i?"vec2":"vec4",s=a.match(/color/)?"color":o;return n[a]?"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\nvarying "+r+" "+i+" "+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"define"===e?"\n#ifndef HAS_UNIFORM_u_"+a+"\nuniform lowp float u_"+a+"_t;\nattribute "+r+" "+o+" a_"+a+";\n#else\nuniform "+r+" "+i+" u_"+a+";\n#endif\n":"vec4"===s?"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = a_"+a+";\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n":"\n#ifndef HAS_UNIFORM_u_"+a+"\n    "+r+" "+i+" "+a+" = unpack_mix_"+s+"(a_"+a+", u_"+a+"_t);\n#else\n    "+r+" "+i+" "+a+" = u_"+a+";\n#endif\n"})}}var cr=Object.freeze({prelude:Fe,background:Be,backgroundPattern:Ne,circle:je,clippingMask:Ue,heatmap:Ve,heatmapTexture:qe,collisionBox:He,collisionCircle:Ge,debug:Ye,fill:We,fillOutline:Xe,fillOutlinePattern:Ze,fillPattern:Je,fillExtrusion:Ke,fillExtrusionPattern:$e,hillshadePrepare:Qe,hillshade:tr,line:er,lineGradient:rr,linePattern:nr,lineSDF:ir,raster:ar,symbolIcon:or,symbolSDF:sr}),ur=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};ur.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())},ur.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,g=r;d<g.length;d+=1){var v=g[d];v.bind(),v.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},ur.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var hr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r.defines();i&&o.push("#define OVERDRAW_INSPECTOR;");var s=o.concat(Fe.fragmentSource,e.fragmentSource).join("\n"),l=o.concat(Fe.vertexSource,e.vertexSource).join("\n"),c=a.createShader(a.FRAGMENT_SHADER);a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var h=r.layoutAttributes||[],f=0;f<h.length;f++)a.bindAttribLocation(this.program,f,h[f].name);a.linkProgram(this.program),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var v=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),m=0;m<v;m++){var y=a.getActiveUniform(this.program,m);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r.getUniforms(t,p)};function fr(e,r,n){var i=1/le(n,1,r.transform.tileZoom),a=Math.pow(2,n.tileID.overscaledZ),o=n.tileSize*Math.pow(2,r.transform.tileZoom)/a,s=o*(n.tileID.canonical.x+n.tileID.wrap*a),l=o*n.tileID.canonical.y;return{u_image:0,u_texsize:n.imageAtlasTexture.size,u_scale:[t.browser.devicePixelRatio,i,e.fromScale,e.toScale],u_fade:e.t,u_pixel_coord_upper:[s>>16,l>>16],u_pixel_coord_lower:[65535&s,65535&l]}}hr.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,g){var v,m=t.gl;for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(v={},v[m.LINES]=2,v[m.TRIANGLES]=3,v[m.LINE_STRIP]=1,v)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],k=w.vaos||(w.vaos={});(k[s]||(k[s]=new ur)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),m.drawElements(e,w.primitiveLength*x,m.UNSIGNED_SHORT,w.primitiveOffset*x*2)}};var pr=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}},dr=function(e,r,n,i,a,o,s){return t.extend(pr(e,r,n,i),fr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},gr=function(t){return{u_matrix:t}},vr=function(e,r,n,i){return t.extend(gr(e),fr(n,r,i))},mr=function(t,e){return{u_matrix:t,u_world:e}},yr=function(e,r,n,i,a){return t.extend(vr(e,r,n,i),{u_world:a})},xr=function(e,r,n,i){var a,o,s=e.transform;if("map"===i.paint.get("circle-pitch-alignment")){var l=le(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}},br=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)}},_r=function(t,e,r){var n=le(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}},wr=function(t,e){return{u_matrix:t,u_color:e}},kr=function(t){return{u_matrix:t}},Tr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:le(e,1,r),u_intensity:n}},Ar=function(t,e,r){var n=r.paint.get("hillshade-shadow-color"),i=r.paint.get("hillshade-highlight-color"),a=r.paint.get("hillshade-accent-color"),o=r.paint.get("hillshade-illumination-direction")*(Math.PI/180);"viewport"===r.paint.get("hillshade-illumination-anchor")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Sr(t,e.tileID),u_light:[r.paint.get("hillshade-exaggeration"),o],u_shadow:n,u_highlight:i,u_accent:a}},Mr=function(e,r){var n=e.dem.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.tileID.overscaledZ,u_maxzoom:r}};function Sr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Er=function(e,r,n){var i=e.transform;return{u_matrix:zr(e,r,n),u_ratio:1/le(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Cr=function(e,r,n){return t.extend(Er(e,r,n),{u_image:0})},Lr=function(e,r,n,i){var a=e.transform,o=Or(r,a);return{u_matrix:zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/le(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[t.browser.devicePixelRatio,o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Pr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Or(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(Er(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 Or(t,e){return 1/le(t,1,e.tileZoom)}function zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get("line-translate"),r.paint.get("line-translate-anchor"))}var Ir=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:function(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]}(i.paint.get("raster-hue-rotate"))};var a,o};var Dr=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}},Rr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Dr(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})},Fr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Br=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from),a=r.imageManager.getPattern(t.to),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/le(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})},Nr={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.Uniform4f(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.Uniform4f(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.Uniform4f(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:br,collisionCircle:br,debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform4f(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.Uniform1f(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.Uniform1f(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.Uniform1f(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 jr(e,r){for(var n=e.sort(function(t,e){return t.tileID.isLessThan(e.tileID)?-1:e.tileID.isLessThan(t.tileID)?1:0}),i=0;i<n.length;i++){var a={},o=n[i],s=n.slice(i+1);Ur(o.tileID.wrapped(),o.tileID,s,new t.OverscaledTileID(0,o.tileID.wrap+1,0,0,0),a),o.setMask(a,r)}}function Ur(e,r,n,i,a){for(var o=0;o<n.length;o++){var s=n[o];if(i.isLessThan(s.tileID))break;if(r.key===s.tileID.key)return;if(s.tileID.isChildOf(r)){for(var l=r.children(1/0),c=0;c<l.length;c++)Ur(e,l[c],n.slice(o),i,a);return}}var u=r.overscaledZ-e.overscaledZ,h=new t.CanonicalTileID(u,r.canonical.x-(e.canonical.x<<u),r.canonical.y-(e.canonical.y<<u));a[h.key]=a[h.key]||h}function Vr(t,e,r,n,i){for(var a=t.context,o=a.gl,s=i?t.useProgram("collisionCircle"):t.useProgram("collisionBox"),l=0;l<n.length;l++){var c=n[l],u=e.getTile(c),h=u.getBucket(r);if(h){var f=i?h.collisionCircle:h.collisionBox;f&&s.draw(a,i?o.TRIANGLES:o.LINES,Tt.disabled,At.disabled,t.colorModeForRenderPass(),St.disabled,_r(c.posMatrix,t.transform,u),r.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,null,t.transform.zoom,null,null,f.collisionVertexBuffer)}}}var qr=t.identity(new Float32Array(16));function Hr(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateRadialOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function Gr(e,r,n,i,a,o,s,l,c,u){var h=e.text.placedSymbolArray,f=e.text.dynamicLayoutVertexArray;f.clear();for(var p=0;p<h.length;p++){var d=h.get(p),g=!d.hidden&&d.crossTileID?i[d.crossTileID]:null;if(g){var v=new t.Point(d.anchorX,d.anchorY),m=Zt(v,n?l:s),y=.5+o.cameraToCenterDistance/m.signedDistanceFromCamera*.5,x=a.evaluateSizeForFeature(e.textSizeData,u,d)*y/t.ONE_EM;n&&(x*=e.tilePixelRatio/c);for(var b=g.width,_=g.height,w=g.radialOffset,k=g.textBoxScale,T=Hr(g.anchor,b,_,w,k,x),A=n?Zt(v.add(T),s).point:m.point.add(r?T.rotate(-o.angle):T),M=0;M<d.numGlyphs;M++)t.addDynamicAttributes(f,A,0)}else ie(d.numGlyphs,f)}e.text.dynamicLayoutVertexBuffer.updateData(f)}function Yr(e,r,n,i,a,o,s,l,c,u,h,f,p){for(var d,g,v=e.context,m=v.gl,y=e.transform,x="map"===l,b="map"===c,_=x&&"point"!==n.layout.get("symbol-placement"),w=x&&!b&&!_,k=void 0!==n.layout.get("symbol-sort-key").constantOr(1),T=e.depthModeForSublayer(0,Tt.ReadOnly),A=n.layout.get("text-variable-anchor"),M=[],S=0,E=i;S<E.length;S+=1){var C=E[S],L=r.getTile(C),P=L.getBucket(n);if(P){var O=a?P.text:P.icon;if(O&&O.segments.get().length){var z=O.programConfigurations.get(n.id),I=a||P.sdfIcons,D=a?P.textSizeData:P.iconSizeData;d||(d=e.useProgram(I?"symbolSDF":"symbolIcon",z),g=t.evaluateSizeForZoom(D,y.zoom)),v.activeTexture.set(m.TEXTURE0);var R=void 0,F=void 0,B=void 0;if(a)F=L.glyphAtlasTexture,B=m.LINEAR,R=L.glyphAtlasTexture.size;else{var N=1!==n.layout.get("icon-size").constantOr(0)||P.iconsNeedLinear,j=b||0!==y.pitch;F=L.imageAtlasTexture,B=I||e.options.rotating||e.options.zooming||N||j?m.LINEAR:m.NEAREST,R=L.imageAtlasTexture.size}var U=le(L,1,e.transform.zoom),V=Wt(C.posMatrix,b,x,e.transform,U),q=Xt(C.posMatrix,b,x,e.transform,U);if(_)Kt(P,C.posMatrix,e,a,V,q,b,u);else if(a&&g&&A){var H=Math.pow(2,y.zoom-L.tileID.overscaledZ);Gr(P,x,b,p,t.symbolSize,y,V,C.posMatrix,H,g)}var G=e.translatePosMatrix(C.posMatrix,L,o,s),Y=_||a&&A?qr:V,W=e.translatePosMatrix(q,L,o,s,!0),X=I&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),Z={program:d,buffers:O,uniformValues:I?Rr(D.kind,g,w,b,e,G,Y,W,a,R,!0):Dr(D.kind,g,w,b,e,G,Y,W,a,R),atlasTexture:F,atlasInterpolation:B,isSDF:I,hasHalo:X};if(k)for(var J=0,K=O.segments.get();J<K.length;J+=1){var $=K[J];M.push({segments:new t.SegmentVector([$]),sortKey:$.sortKey,state:Z})}else M.push({segments:O.segments,sortKey:0,state:Z})}}}k&&M.sort(function(t,e){return t.sortKey-e.sortKey});for(var Q=0,tt=M;Q<tt.length;Q+=1){var et=tt[Q],rt=et.state;if(rt.atlasTexture.bind(rt.atlasInterpolation,m.CLAMP_TO_EDGE),rt.isSDF){var nt=rt.uniformValues;rt.hasHalo&&(nt.u_is_halo=1,Wr(rt.buffers,et.segments,n,e,rt.program,T,h,f,nt)),nt.u_is_halo=0}Wr(rt.buffers,et.segments,n,e,rt.program,T,h,f,rt.uniformValues)}}function Wr(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,St.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function Xr(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),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty("fill-outline-color")?"fillOutlinePattern":"fillOutline",s=f.LINES):(l=d?"fillPattern":"fill",s=f.TRIANGLES);for(var v=0,m=n;v<m.length;v+=1){var y=m[v],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),_.updatePatternPaintBuffers(g));var k=p.constantOr(null);if(k&&x.imageAtlas){var T=x.imageAtlas.patternPositions[k.to],A=x.imageAtlas.patternPositions[k.from];T&&A&&_.setConstantPatternPositions(T,A)}var M=t.translatePosMatrix(y.posMatrix,x,r.paint.get("fill-translate"),r.paint.get("fill-translate-anchor"));if(o){u=b.indexBuffer2,h=b.segments2;var S=[f.drawingBufferWidth,f.drawingBufferHeight];c="fillOutlinePattern"===l&&d?yr(M,t,g,x,S):mr(M,S)}else u=b.indexBuffer,h=b.segments,c=d?vr(M,t,g,x):gr(M);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,St.disabled,c,r.id,b.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,_)}}}}function Zr(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 g=d[p],v=e.getTile(g),m=v.getBucket(r);if(m){var y=m.programConfigurations.get(r.id),x=t.useProgram(u?"fillExtrusionPattern":"fillExtrusion",y);u&&(t.context.activeTexture.set(l.TEXTURE0),v.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePatternPaintBuffers(h));var b=c.constantOr(null);if(b&&v.imageAtlas){var _=v.imageAtlas.patternPositions[b.to],w=v.imageAtlas.patternPositions[b.from];_&&w&&y.setConstantPatternPositions(_,w)}var k=t.translatePosMatrix(g.posMatrix,v,r.paint.get("fill-extrusion-translate"),r.paint.get("fill-extrusion-translate-anchor")),T=r.paint.get("fill-extrusion-vertical-gradient"),A=u?dr(k,t,T,f,g,h,v):pr(k,t,T,f);x.draw(s,s.gl.TRIANGLES,i,a,o,St.backCCW,A,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y)}}}function Jr(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=Ar(t,e,r);e.maskedBoundsBuffer&&e.maskedIndexBuffer&&e.segments?c.draw(o,s.TRIANGLES,n,i,a,St.disabled,u,r.id,e.maskedBoundsBuffer,e.maskedIndexBuffer,e.segments):c.draw(o,s.TRIANGLES,n,i,a,St.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function Kr(e,r,n,i,a,o,s){var l=e.context,c=l.gl;if(r.dem&&r.dem.data){var u=r.dem.dim,h=r.dem.stride,f=r.dem.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,f,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var d=r.fbo;if(!d){var g=new t.Texture(l,{width:u,height:u,data:null},c.RGBA);g.bind(c.LINEAR,c.CLAMP_TO_EDGE),(d=r.fbo=l.createFramebuffer(u,u)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(d.framebuffer),l.viewport.set([0,0,u,u]),e.useProgram("hillshadePrepare").draw(l,c.TRIANGLES,a,o,s,St.disabled,Mr(r,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function $r(e,r,n,i,a){var o=i.paint.get("raster-fade-duration");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(e.tileID.overscaledZ-h),p=f&&e.refreshedUponExpiration?1:t.clamp(f?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}function Qr(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram("debug"),l=Tt.disabled,c=At.disabled,u=e.colorModeForRenderPass(),h="$debug";s.draw(i,a.LINE_STRIP,l,c,u,St.disabled,wr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);for(var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),g=function(t,e,r,n){n=n||1;var 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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")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if("translucent"===e.renderPass){var a=n.paint.get("line-opacity"),o=n.paint.get("line-width");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,Tt.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=c?"lineSDF":h?"linePattern":f?"lineGradient":"line",g=e.context,v=g.gl,m=!0;if(f){g.activeTexture.set(v.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,v.RGBA)),y.bind(v.LINEAR,v.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!h||w.patternsLoaded()){var k=w.getBucket(n);if(k){var T=k.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,T),S=m||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var C=w.imageAtlas.patternPositions[E.to],L=w.imageAtlas.patternPositions[E.from];C&&L&&T.setConstantPatternPositions(C,L)}var P=c?Pr(e,w,n,c,p):h?Lr(e,w,n,p):f?Cr(e,w,n):Er(e,w,n);c&&(S||e.lineAtlas.dirty)?(g.activeTexture.set(v.TEXTURE0),e.lineAtlas.bind(g)):h&&(g.activeTexture.set(v.TEXTURE0),w.imageAtlasTexture.bind(v.LINEAR,v.CLAMP_TO_EDGE),T.updatePatternPaintBuffers(p)),M.draw(g,v.TRIANGLES,s,e.stencilModeForClipping(_),l,St.disabled,P,n.id,k.layoutVertexBuffer,k.indexBuffer,k.segments,n.paint,e.transform.zoom,T),m=!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?Tt.ReadWrite:Tt.ReadOnly);Xr(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,Tt.ReadOnly);Xr(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 Tt(t.context.gl.LEQUAL,Tt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get("fill-extrusion-pattern").constantOr(1))Zr(t,e,r,n,a,At.disabled,Mt.disabled),Zr(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();Zr(t,e,r,n,a,At.disabled,o)}}},hillshade:function(t,e,r,n){if("offscreen"===t.renderPass||"translucent"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Tt.ReadOnly),s=At.disabled,l=t.colorModeForRenderPass(),c=0,u=n;c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&"offscreen"===t.renderPass?Kr(t,f,r,a,o,s,l):"translucent"===t.renderPass&&Jr(t,f,r,o,s,l)}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"))for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram("raster"),l=At.disabled,c=t.colorModeForRenderPass(),u=n.length&&n[0].overscaledZ,h=!t.options.moving,f=0,p=n;f<p.length;f+=1){var d=p[f],g=t.depthModeForSublayer(d.overscaledZ-u,1===r.paint.get("raster-opacity")?Tt.ReadWrite:Tt.ReadOnly,a.LESS),v=e.getTile(d),m=t.transform.calculatePosMatrix(d.toUnwrapped(),h);v.registerFadeDuration(r.paint.get("raster-fade-duration"));var y=e.findLoadedParent(d,0),x=$r(v,y,e,r,t.transform),b=void 0,_=void 0,w="nearest"===r.paint.get("raster-resampling")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),v.texture.bind(w,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),y?(y.texture.bind(w,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),b=Math.pow(2,y.tileID.overscaledZ-v.tileID.overscaledZ),_=[v.tileID.canonical.x*b%1,v.tileID.canonical.y*b%1]):v.texture.bind(w,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var k=Ir(m,_||[0,0],b||1,x,r);o instanceof L?s.draw(i,a.TRIANGLES,g,l,c,St.disabled,k,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):v.maskedBoundsBuffer&&v.maskedIndexBuffer&&v.segments?s.draw(i,a.TRIANGLES,g,l,c,St.disabled,k,r.id,v.maskedBoundsBuffer,v.maskedIndexBuffer,v.segments,r.paint,t.transform.zoom):s.draw(i,a.TRIANGLES,g,l,c,St.disabled,k,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?"translucent":"opaque";if(t.renderPass===u){var h=At.disabled,f=t.depthModeForSublayer(0,"opaque"===u?Tt.ReadWrite:Tt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?"backgroundPattern":"background"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var v=r.getCrossfadeParameters(),m=0,y=g;m<y.length;m+=1){var x=y[m],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Br(b,i,t,c,{tileID:x,tileSize:l},v):Fr(b,i,n);d.draw(a,o.TRIANGLES,f,h,p,St.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)Qr(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(At.disabled);var o="3d"===i.renderingMode?new Tt(t.context.gl.LEQUAL,Tt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Tt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},rn=function(e,r){this.context=new Et(e),this.transform=r,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.depthRboNeedsClear=!0,this.emptyProgramConfiguration=new t.ProgramConfiguration,this.crossTileSymbolIndex=new Pe};function nn(t,e){if(t.y>e.y){var r=t;t=e,e=r}return{x0:t.x,y0:t.y,x1:e.x,y1:e.y,dx:e.x-t.x,dy:e.y-t.y}}function an(t,e,r,n,i){var a=Math.max(r,Math.floor(e.y0)),o=Math.min(n,Math.ceil(e.y1));if(t.x0===e.x0&&t.y0===e.y0?t.x0+e.dy/t.dy*t.dx<e.x1:t.x1-e.dy/t.dy*t.dx<e.x0){var s=t;t=e,e=s}for(var l=t.dx/t.dy,c=e.dx/e.dy,u=t.dx>0,h=e.dx<0,f=a;f<o;f++){var p=l*Math.max(0,Math.min(t.dy,f+u-t.y0))+t.x0,d=c*Math.max(0,Math.min(e.dy,f+h-e.y0))+e.x0;i(Math.floor(d),Math.ceil(p),f)}}function on(t,e,r,n,i,a){var o,s=nn(t,e),l=nn(e,r),c=nn(r,t);s.dy>l.dy&&(o=s,s=l,l=o),s.dy>c.dy&&(o=s,s=c,c=o),l.dy>c.dy&&(o=l,l=c,c=o),s.dy&&an(c,s,n,i,a),l.dy&&an(c,l,n,i,a)}rn.prototype.resize=function(e,r){var n=this.context.gl;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 i=0,a=this.style._order;i<a.length;i+=1){var o=a[i];this.style._layers[o].resize()}this.depthRbo&&(n.deleteRenderbuffer(this.depthRbo),this.depthRbo=null)},rn.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,Re.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,Re.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,t.rasterBoundsAttributes.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,Re.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);var l=this.context.gl;this.stencilClearMode=new At({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},rn.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,Tt.disabled,this.stencilClearMode,Mt.disabled,St.disabled,kr(n),"$clipping",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},rn.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(Mt.disabled),r.setDepthMode(Tt.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,Tt.disabled,new At({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Mt.disabled,St.disabled,kr(s.posMatrix),"$clipping",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},rn.prototype.stencilModeFor3D=function(){this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new At({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},rn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new At({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},rn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;return this._showOverdrawInspector?new Mt([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0]):"opaque"===this.renderPass?Mt.unblended:Mt.alphaBlended},rn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Tt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Tt(r||this.context.gl.LEQUAL,e,[n,n])},rn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},rn.prototype.render=function(e,r){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 n=this.style._order,i=this.style.sourceCaches;for(var a in i){var o=i[a];o.used&&o.prepare(this.context)}var s={},l={},c={};for(var u in i){var h=i[u];s[u]=h.getVisibleCoordinates(),l[u]=s[u].slice().reverse(),c[u]=h.getVisibleCoordinates(!0).reverse()}for(var f in i){var p=i[f],d=p.getSource();if("raster"===d.type||"raster-dem"===d.type){for(var g=[],v=0,m=s[f];v<m.length;v+=1){var y=m[v];g.push(p.getTile(y))}jr(g,this.context)}}this.opaquePassCutoff=1/0;for(var x=0;x<n.length;x++){var b=n[x];if(this.style._layers[b].is3D()){this.opaquePassCutoff=x;break}}this.renderPass="offscreen",this.depthRboNeedsClear=!0;for(var _=0,w=n;_<w.length;_+=1){var k=w[_],T=this.style._layers[k];if(T.hasOffscreenPass()&&!T.isHidden(this.transform.zoom)){var A=l[T.source];("custom"===T.type||A.length)&&this.renderLayer(this,i[T.source],T,A)}}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=n.length-1;this.currentLayer>=0;this.currentLayer--){var M=this.style._layers[n[this.currentLayer]],S=i[M.source],E=s[M.source];this._renderTileClippingMasks(M,E),this.renderLayer(this,S,M,E)}for(this.renderPass="translucent",this.currentLayer=0;this.currentLayer<n.length;this.currentLayer++){var C=this.style._layers[n[this.currentLayer]],L=i[C.source],P=("symbol"===C.type?c:l)[C.source];this._renderTileClippingMasks(C,s[C.source]),this.renderLayer(this,L,C,P)}if(this.options.showTileBoundaries)for(var O in i){en.debug(this,i[O],s[O]);break}this.context.setDefault()},rn.prototype.setupOffscreenDepthRenderbuffer=function(){var t=this.context;this.depthRbo||(this.depthRbo=t.createRenderbuffer(t.gl.DEPTH_COMPONENT16,this.width,this.height))},rn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||("background"===r.type||"custom"===r.type||n.length)&&(this.id=r.id,en[r.type](t,e,r,n,this.style.placement.variableOffsets))},rn.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]:le(r,n[0],this.transform.zoom),a?n[1]:le(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},rn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},rn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},rn.prototype.isPatternMissing=function(t){if(!t)return!1;var e=this.imageManager.getPattern(t.from),r=this.imageManager.getPattern(t.to);return!e||!r},rn.prototype.useProgram=function(t,e){void 0===e&&(e=this.emptyProgramConfiguration),this.cache=this.cache||{};var r=""+t+(e.cacheKey||"")+(this._showOverdrawInspector?"/overdraw":"");return this.cache[r]||(this.cache[r]=new hr(this.context,cr[t],e,Nr[t],this._showOverdrawInspector)),this.cache[r]},rn.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()},rn.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)};var sn=function(e,r,n){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===n||n,this._minZoom=e||0,this._maxZoom=r||22,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._posMatrixCache={},this._alignedPosMatrixCache={}},ln={minZoom:{configurable:!0},maxZoom:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerPoint:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};sn.prototype.clone=function(){var t=new sn(this._minZoom,this._maxZoom,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._calcMatrices(),t},ln.minZoom.get=function(){return this._minZoom},ln.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},ln.maxZoom.get=function(){return this._maxZoom},ln.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},ln.renderWorldCopies.get=function(){return this._renderWorldCopies},ln.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},ln.worldSize.get=function(){return this.tileSize*this.scale},ln.centerPoint.get=function(){return this.size._div(2)},ln.size.get=function(){return new t.Point(this.width,this.height)},ln.bearing.get=function(){return-this.angle/Math.PI*180},ln.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))},ln.pitch.get=function(){return this._pitch/Math.PI*180},ln.pitch.set=function(e){var r=t.clamp(e,0,60)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},ln.fov.get=function(){return this._fov/Math.PI*180},ln.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())},ln.zoom.get=function(){return this._zoom},ln.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())},ln.center.get=function(){return this._center},ln.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},sn.prototype.coveringZoomLevel=function(t){return(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize))},sn.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},sn.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=new t.Point(a*i.x-.5,a*i.y-.5);return function(e,r,n,i){void 0===i&&(i=!0);var a=1<<e,o={};function s(r,s,l){var c,u,h,f;if(l>=0&&l<=a)for(c=r;c<s;c++)u=Math.floor(c/a),h=(c%a+a)%a,0!==u&&!0!==i||(f=new t.OverscaledTileID(n,u,e,h,l),o[f.key]=f)}var l=r.map(function(e){return new t.Point(e.x,e.y)._mult(a)});return on(l[0],l[1],l[2],0,a,s),on(l[2],l[3],l[0],0,a,s),Object.keys(o).map(function(t){return o[t]})}(r,[this.pointCoordinate(new t.Point(0,0)),this.pointCoordinate(new t.Point(this.width,0)),this.pointCoordinate(new t.Point(this.width,this.height)),this.pointCoordinate(new t.Point(0,this.height))],e.reparseOverscaled?n:r,this._renderWorldCopies).sort(function(t,e){return o.dist(t.canonical)-o.dist(e.canonical)})},sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},ln.unmodified.get=function(){return this._unmodified},sn.prototype.zoomScale=function(t){return Math.pow(2,t)},sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},sn.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)},sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},ln.point.get=function(){return this.project(this.center)},sn.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())},sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},sn.prototype.coordinateLocation=function(t){return t.toLngLat()},sn.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)},sn.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])},sn.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)))},sn.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},sn.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])},sn.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]},sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},sn.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 g=p.y,v=c.y/2;g-v<a&&(i=a+v),g+v>o&&(i=o-v)}if(this.lngRange){var m=p.x,y=c.x/2;m-y<s&&(n=s+y),m+y>l&&(n=l-y)}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}},sn.prototype._calcMatrices=function(){if(this.height){this.cameraToCenterDistance=.5/Math.tan(this._fov/2)*this.height;var e=this._fov/2,r=Math.PI/2+this._pitch,n=Math.sin(e)*this.cameraToCenterDistance/Math.sin(Math.PI-r-e),i=this.point,a=i.x,o=i.y,s=1.01*(Math.cos(Math.PI/2-this._pitch)*n+this.cameraToCenterDistance),l=new Float64Array(16);t.perspective(l,this._fov,this.width/this.height,1,s),t.scale(l,l,[1,-1,1]),t.translate(l,l,[0,0,-this.cameraToCenterDistance]),t.rotateX(l,l,this._pitch),t.rotateZ(l,l,this.angle),t.translate(l,l,[-a,-o,0]),this.mercatorMatrix=t.scale([],l,[this.worldSize,this.worldSize,this.worldSize]),t.scale(l,l,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=l;var c=this.width%2/2,u=this.height%2/2,h=Math.cos(this.angle),f=Math.sin(this.angle),p=a-Math.round(a)+h*c+f*u,d=o-Math.round(o)+h*u+f*c,g=new Float64Array(l);if(t.translate(g,g,[p>.5?p-1:p,d>.5?d-1:d,0]),this.alignedProjMatrix=g,l=t.create(),t.scale(l,l,[this.width/2,-this.height/2,1]),t.translate(l,l,[1,-1,0]),this.labelPlaneMatrix=l,l=t.create(),t.scale(l,l,[1,-1,1]),t.translate(l,l,[-1,-1,0]),t.scale(l,l,[2/this.width,2/this.height,1]),this.glCoordMatrix=l,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(l=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error("failed to invert matrix");this.pixelMatrixInverse=l,this._posMatrixCache={},this._alignedPosMatrixCache={}}},sn.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},sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},sn.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(sn.prototype,ln);var cn=function(){var e,r,n,i;t.bindAll(["_onHashChange","_updateHash"],this),this._updateHash=(e=this._updateHashUnthrottled.bind(this),300,r=!1,n=null,i=function(){n=null,r&&(e(),n=setTimeout(i,300),r=!1)},function(){return r=!0,n||i(),n})};cn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener("hashchange",this._onHashChange,!1),this._map.on("moveend",this._updateHash),this},cn.prototype.remove=function(){return t.window.removeEventListener("hashchange",this._onHashChange,!1),this._map.off("moveend",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},cn.prototype.getHashString=function(t){var 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(),c="";return c+=t?"#/"+a+"/"+o+"/"+r:"#"+r+"/"+o+"/"+a,(s||l)&&(c+="/"+Math.round(10*s)/10),l&&(c+="/"+Math.round(l)),c},cn.prototype._onHashChange=function(){var e=t.window.location.hash.replace("#","").split("/");return e.length>=3&&(this._map.jumpTo({center:[+e[2],+e[1]],zoom:+e[0],bearing:+(e[3]||0),pitch:+(e[4]||0)}),!0)},cn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,"",e)}catch(t){}};var un=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),hn=function(e){function n(n,i,a){var o=r.touchPos(i.getCanvasContainer(),a),s=o.map(function(t){return i.unproject(t)}),l=o.reduce(function(t,e,r,n){return t.add(e.div(n.length))},new t.Point(0,0)),c=i.unproject(l);e.call(this,n,{points:o,point:l,lngLats:s,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),fn=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),pn=function(e){this._map=e,this._el=e.getCanvasContainer(),this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll(["_onWheel","_onTimeout","_onScrollFrame","_onScrollFinished"],this)};pn.prototype.setZoomRate=function(t){this._defaultZoomRate=t},pn.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},pn.prototype.isEnabled=function(){return!!this._enabled},pn.prototype.isActive=function(){return!!this._active},pn.prototype.isZooming=function(){return!!this._zooming},pn.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&"center"===t.around)},pn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},pn.prototype.onWheel=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%4.000244140625==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.isActive()||this._start(e)),e.preventDefault()}},pn.prototype._onTimeout=function(t){this._type="wheel",this._delta-=this._lastValue,this.isActive()||this._start(t)},pn.prototype._start=function(e){if(this._delta){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0,this._map.fire(new t.Event("movestart",{originalEvent:e})),this._map.fire(new t.Event("zoomstart",{originalEvent:e}))),this._finishTimeout&&clearTimeout(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=this._map._requestRenderFrame(this._onScrollFrame))}},pn.prototype._onScrollFrame=function(){var e=this;if(this._frameId=null,this.isActive()){var r=this._map.transform;if(0!==this._delta){var n="wheel"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,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="number"==typeof this._targetZoom?this._targetZoom:r.zoom,s=this._startZoom,l=this._easing,c=!1;if("wheel"===this._type&&s&&l){var u=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=l(u);r.zoom=t.number(s,o,h),u<1?this._frameId||(this._frameId=this._map._requestRenderFrame(this._onScrollFrame)):c=!0}else r.zoom=o,c=!0;r.setLocationAtPoint(this._around,this._aroundPoint),this._map.fire(new t.Event("move",{originalEvent:this._lastWheelEvent})),this._map.fire(new t.Event("zoom",{originalEvent:this._lastWheelEvent})),c&&(this._active=!1,this._finishTimeout=setTimeout(function(){e._zooming=!1,e._map.fire(new t.Event("zoomend",{originalEvent:e._lastWheelEvent})),e._map.fire(new t.Event("moveend",{originalEvent:e._lastWheelEvent})),delete e._targetZoom},200))}},pn.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};var dn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._container=e.getContainer(),this._clickTolerance=r.clickTolerance||1,t.bindAll(["_onMouseMove","_onMouseUp","_onKeyDown"],this)};dn.prototype.isEnabled=function(){return!!this._enabled},dn.prototype.isActive=function(){return!!this._active},dn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},dn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},dn.prototype.onMouseDown=function(e){this.isEnabled()&&e.shiftKey&&0===e.button&&(t.window.document.addEventListener("mousemove",this._onMouseMove,!1),t.window.document.addEventListener("keydown",this._onKeyDown,!1),t.window.document.addEventListener("mouseup",this._onMouseUp,!1),r.disableDrag(),this._startPos=this._lastPos=r.mousePos(this._el,e),this._active=!0)},dn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);if(!(this._lastPos.equals(e)||!this._box&&e.dist(this._startPos)<this._clickTolerance)){var n=this._startPos;this._lastPos=e,this._box||(this._box=r.create("div","mapboxgl-boxzoom",this._container),this._container.classList.add("mapboxgl-crosshair"),this._fireEvent("boxzoomstart",t));var i=Math.min(n.x,e.x),a=Math.max(n.x,e.x),o=Math.min(n.y,e.y),s=Math.max(n.y,e.y);r.setTransform(this._box,"translate("+i+"px,"+o+"px)"),this._box.style.width=a-i+"px",this._box.style.height=s-o+"px"}},dn.prototype._onMouseUp=function(e){if(0===e.button){var n=this._startPos,i=r.mousePos(this._el,e);this._finish(),r.suppressClick(),n.x===i.x&&n.y===i.y?this._fireEvent("boxzoomcancel",e):this._map.fitScreenCoordinates(n,i,this._map.getBearing(),{linear:!0}).fire(new t.Event("boxzoomend",{originalEvent:e}))}},dn.prototype._onKeyDown=function(t){27===t.keyCode&&(this._finish(),this._fireEvent("boxzoomcancel",t))},dn.prototype._finish=function(){this._active=!1,t.window.document.removeEventListener("mousemove",this._onMouseMove,!1),t.window.document.removeEventListener("keydown",this._onKeyDown,!1),t.window.document.removeEventListener("mouseup",this._onMouseUp,!1),this._container.classList.remove("mapboxgl-crosshair"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},dn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var gn=t.bezier(0,0,.25,1),vn=function(e,r){this._map=e,this._el=r.element||e.getCanvasContainer(),this._state="disabled",this._button=r.button||"right",this._bearingSnap=r.bearingSnap||0,this._pitchWithRotate=!1!==r.pitchWithRotate,t.bindAll(["onMouseDown","_onMouseMove","_onMouseUp","_onBlur","_onDragFrame"],this)};vn.prototype.isEnabled=function(){return"disabled"!==this._state},vn.prototype.isActive=function(){return"active"===this._state},vn.prototype.enable=function(){this.isEnabled()||(this._state="enabled")},vn.prototype.disable=function(){if(this.isEnabled())switch(this._state){case"active":this._state="disabled",this._unbind(),this._deactivate(),this._fireEvent("rotateend"),this._pitchWithRotate&&this._fireEvent("pitchend"),this._fireEvent("moveend");break;case"pending":this._state="disabled",this._unbind();break;default:this._state="disabled"}},vn.prototype.onMouseDown=function(e){if("enabled"===this._state){if("right"===this._button){if(this._eventButton=r.mouseButton(e),this._eventButton!==(e.ctrlKey?0:2))return}else{if(e.ctrlKey||0!==r.mouseButton(e))return;this._eventButton=0}r.disableDrag(),t.window.document.addEventListener("mousemove",this._onMouseMove,{capture:!0}),t.window.document.addEventListener("mouseup",this._onMouseUp),t.window.addEventListener("blur",this._onBlur),this._state="pending",this._inertia=[[t.browser.now(),this._map.getBearing()]],this._startPos=this._lastPos=r.mousePos(this._el,e),this._center=this._map.transform.centerPoint,e.preventDefault()}},vn.prototype._onMouseMove=function(t){var e=r.mousePos(this._el,t);this._lastPos.equals(e)||(this._lastMoveEvent=t,this._lastPos=e,"pending"===this._state&&(this._state="active",this._fireEvent("rotatestart",t),this._fireEvent("movestart",t),this._pitchWithRotate&&this._fireEvent("pitchstart",t)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},vn.prototype._onDragFrame=function(){this._frameId=null;var e=this._lastMoveEvent;if(e){var r=this._map.transform,n=this._startPos,i=this._lastPos,a=.8*(n.x-i.x),o=-.5*(n.y-i.y),s=r.bearing-a,l=r.pitch-o,c=this._inertia,u=c[c.length-1];this._drainInertiaBuffer(),c.push([t.browser.now(),this._map._normalizeBearing(s,u[1])]),r.bearing=s,this._pitchWithRotate&&(this._fireEvent("pitch",e),r.pitch=l),this._fireEvent("rotate",e),this._fireEvent("move",e),delete this._lastMoveEvent,this._startPos=this._lastPos}},vn.prototype._onMouseUp=function(t){if(r.mouseButton(t)===this._eventButton)switch(this._state){case"active":this._state="enabled",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialRotate(t);break;case"pending":this._state="enabled",this._unbind()}},vn.prototype._onBlur=function(t){switch(this._state){case"active":this._state="enabled",this._unbind(),this._deactivate(),this._fireEvent("rotateend",t),this._pitchWithRotate&&this._fireEvent("pitchend",t),this._fireEvent("moveend",t);break;case"pending":this._state="enabled",this._unbind()}},vn.prototype._unbind=function(){t.window.document.removeEventListener("mousemove",this._onMouseMove,{capture:!0}),t.window.document.removeEventListener("mouseup",this._onMouseUp),t.window.removeEventListener("blur",this._onBlur),r.enableDrag()},vn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._lastPos},vn.prototype._inertialRotate=function(t){var e=this;this._fireEvent("rotateend",t),this._drainInertiaBuffer();var r=this._map,n=r.getBearing(),i=this._inertia,a=function(){Math.abs(n)<e._bearingSnap?r.resetNorth({noMoveStart:!0},{originalEvent:t}):e._fireEvent("moveend",t),e._pitchWithRotate&&e._fireEvent("pitchend",t)};if(i.length<2)a();else{var o=i[0],s=i[i.length-1],l=i[i.length-2],c=r._normalizeBearing(n,l[1]),u=s[1]-o[1],h=u<0?-1:1,f=(s[0]-o[0])/1e3;if(0!==u&&0!==f){var p=Math.abs(u*(.25/f));p>180&&(p=180);var d=p/180;c+=h*p*(d/2),Math.abs(r._normalizeBearing(c,0))<this._bearingSnap&&(c=r._normalizeBearing(0,c)),r.rotateTo(c,{duration:1e3*d,easing:gn,noMoveStart:!0},{originalEvent:t})}else a()}},vn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},vn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var mn=t.bezier(0,0,.3,1),yn=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._state="disabled",this._clickTolerance=r.clickTolerance||1,t.bindAll(["_onMove","_onMouseUp","_onTouchEnd","_onBlur","_onDragFrame"],this)};yn.prototype.isEnabled=function(){return"disabled"!==this._state},yn.prototype.isActive=function(){return"active"===this._state},yn.prototype.enable=function(){this.isEnabled()||(this._el.classList.add("mapboxgl-touch-drag-pan"),this._state="enabled")},yn.prototype.disable=function(){if(this.isEnabled())switch(this._el.classList.remove("mapboxgl-touch-drag-pan"),this._state){case"active":this._state="disabled",this._unbind(),this._deactivate(),this._fireEvent("dragend"),this._fireEvent("moveend");break;case"pending":this._state="disabled",this._unbind();break;default:this._state="disabled"}},yn.prototype.onMouseDown=function(e){"enabled"===this._state&&(e.ctrlKey||0!==r.mouseButton(e)||(r.addEventListener(t.window.document,"mousemove",this._onMove,{capture:!0}),r.addEventListener(t.window.document,"mouseup",this._onMouseUp),this._start(e)))},yn.prototype.onTouchStart=function(e){"enabled"===this._state&&(e.touches.length>1||(r.addEventListener(t.window.document,"touchmove",this._onMove,{capture:!0,passive:!1}),r.addEventListener(t.window.document,"touchend",this._onTouchEnd),this._start(e)))},yn.prototype._start=function(e){t.window.addEventListener("blur",this._onBlur),this._state="pending",this._startPos=this._mouseDownPos=this._lastPos=r.mousePos(this._el,e),this._inertia=[[t.browser.now(),this._startPos]]},yn.prototype._onMove=function(e){e.preventDefault();var n=r.mousePos(this._el,e);this._lastPos.equals(n)||"pending"===this._state&&n.dist(this._mouseDownPos)<this._clickTolerance||(this._lastMoveEvent=e,this._lastPos=n,this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),this._lastPos]),"pending"===this._state&&(this._state="active",this._fireEvent("dragstart",e),this._fireEvent("movestart",e)),this._frameId||(this._frameId=this._map._requestRenderFrame(this._onDragFrame)))},yn.prototype._onDragFrame=function(){this._frameId=null;var t=this._lastMoveEvent;if(t){var e=this._map.transform;e.setLocationAtPoint(e.pointLocation(this._startPos),this._lastPos),this._fireEvent("drag",t),this._fireEvent("move",t),this._startPos=this._lastPos,delete this._lastMoveEvent}},yn.prototype._onMouseUp=function(t){if(0===r.mouseButton(t))switch(this._state){case"active":this._state="enabled",r.suppressClick(),this._unbind(),this._deactivate(),this._inertialPan(t);break;case"pending":this._state="enabled",this._unbind()}},yn.prototype._onTouchEnd=function(t){switch(this._state){case"active":this._state="enabled",this._unbind(),this._deactivate(),this._inertialPan(t);break;case"pending":this._state="enabled",this._unbind()}},yn.prototype._onBlur=function(t){switch(this._state){case"active":this._state="enabled",this._unbind(),this._deactivate(),this._fireEvent("dragend",t),this._fireEvent("moveend",t);break;case"pending":this._state="enabled",this._unbind()}},yn.prototype._unbind=function(){r.removeEventListener(t.window.document,"touchmove",this._onMove,{capture:!0,passive:!1}),r.removeEventListener(t.window.document,"touchend",this._onTouchEnd),r.removeEventListener(t.window.document,"mousemove",this._onMove,{capture:!0}),r.removeEventListener(t.window.document,"mouseup",this._onMouseUp),r.removeEventListener(t.window,"blur",this._onBlur)},yn.prototype._deactivate=function(){this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._lastMoveEvent,delete this._startPos,delete this._mouseDownPos,delete this._lastPos},yn.prototype._inertialPan=function(t){this._fireEvent("dragend",t),this._drainInertiaBuffer();var e=this._inertia;if(e.length<2)this._fireEvent("moveend",t);else{var r=e[e.length-1],n=e[0],i=r[1].sub(n[1]),a=(r[0]-n[0])/1e3;if(0===a||r[1].equals(n[1]))this._fireEvent("moveend",t);else{var o=i.mult(.3/a),s=o.mag();s>1400&&(s=1400,o._unit()._mult(s));var l=s/750,c=o.mult(-l/2);this._map.panBy(c,{duration:1e3*l,easing:mn,noMoveStart:!0},{originalEvent:t})}}},yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>0&&r-e[0][0]>160;)e.shift()};var xn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll(["_onKeyDown"],this)};function bn(t){return t*(2-t)}xn.prototype.isEnabled=function(){return!!this._enabled},xn.prototype.enable=function(){this.isEnabled()||(this._el.addEventListener("keydown",this._onKeyDown,!1),this._enabled=!0)},xn.prototype.disable=function(){this.isEnabled()&&(this._el.removeEventListener("keydown",this._onKeyDown),this._enabled=!1)},xn.prototype._onKeyDown=function(t){if(!(t.altKey||t.ctrlKey||t.metaKey)){var 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:(a=1,t.preventDefault());break;default:return}var o=this._map,s=o.getZoom(),l={duration:300,delayEndEvents:500,easing:bn,zoom:e?Math.round(s)+e*(t.shiftKey?2:1):s,bearing:o.getBearing()+15*r,pitch:o.getPitch()+10*n,offset:[100*-i,100*-a],center:o.getCenter()};o.easeTo(l,{originalEvent:t})}};var _n=function(e){this._map=e,t.bindAll(["_onDblClick","_onZoomEnd"],this)};_n.prototype.isEnabled=function(){return!!this._enabled},_n.prototype.isActive=function(){return!!this._active},_n.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},_n.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},_n.prototype.onTouchStart=function(t){var e=this;if(this.isEnabled()&&!(t.points.length>1))if(this._tapped){var r=t.points[0],n=this._tappedPoint;if(n&&n.dist(r)<=30){t.originalEvent.preventDefault();var i=function(){e._tapped&&e._zoom(t),e._map.off("touchcancel",a),e._resetTapped()},a=function(){e._map.off("touchend",i),e._resetTapped()};this._map.once("touchend",i),this._map.once("touchcancel",a)}else this._resetTapped()}else this._tappedPoint=t.points[0],this._tapped=setTimeout(function(){e._tapped=null,e._tappedPoint=null},300)},_n.prototype._resetTapped=function(){clearTimeout(this._tapped),this._tapped=null,this._tappedPoint=null},_n.prototype.onDblClick=function(t){this.isEnabled()&&(t.originalEvent.preventDefault(),this._zoom(t))},_n.prototype._zoom=function(t){this._active=!0,this._map.on("zoomend",this._onZoomEnd),this._map.zoomTo(this._map.getZoom()+(t.originalEvent.shiftKey?-1:1),{around:t.lngLat},t)},_n.prototype._onZoomEnd=function(){this._active=!1,this._map.off("zoomend",this._onZoomEnd)};var wn=t.bezier(0,0,.15,1),kn=function(e){this._map=e,this._el=e.getCanvasContainer(),t.bindAll(["_onMove","_onEnd","_onTouchFrame"],this)};kn.prototype.isEnabled=function(){return!!this._enabled},kn.prototype.enable=function(t){this.isEnabled()||(this._el.classList.add("mapboxgl-touch-zoom-rotate"),this._enabled=!0,this._aroundCenter=!!t&&"center"===t.around)},kn.prototype.disable=function(){this.isEnabled()&&(this._el.classList.remove("mapboxgl-touch-zoom-rotate"),this._enabled=!1)},kn.prototype.disableRotation=function(){this._rotationDisabled=!0},kn.prototype.enableRotation=function(){this._rotationDisabled=!1},kn.prototype.onStart=function(e){if(this.isEnabled()&&2===e.touches.length){var n=r.mousePos(this._el,e.touches[0]),i=r.mousePos(this._el,e.touches[1]),a=n.add(i).div(2);this._startVec=n.sub(i),this._startAround=this._map.transform.pointLocation(a),this._gestureIntent=void 0,this._inertia=[],r.addEventListener(t.window.document,"touchmove",this._onMove,{passive:!1}),r.addEventListener(t.window.document,"touchend",this._onEnd)}},kn.prototype._getTouchEventData=function(t){var e=r.mousePos(this._el,t.touches[0]),n=r.mousePos(this._el,t.touches[1]),i=e.sub(n);return{vec:i,center:e.add(n).div(2),scale:i.mag()/this._startVec.mag(),bearing:this._rotationDisabled?0:180*i.angleWith(this._startVec)/Math.PI}},kn.prototype._onMove=function(e){if(2===e.touches.length){var r=this._getTouchEventData(e),n=r.vec,i=r.scale,a=r.bearing;if(!this._gestureIntent){var o=this._rotationDisabled&&1!==i||Math.abs(1-i)>.15;Math.abs(a)>10?this._gestureIntent="rotate":o&&(this._gestureIntent="zoom"),this._gestureIntent&&(this._map.fire(new t.Event(this._gestureIntent+"start",{originalEvent:e})),this._map.fire(new t.Event("movestart",{originalEvent:e})),this._startVec=n)}this._lastTouchEvent=e,this._frameId||(this._frameId=this._map._requestRenderFrame(this._onTouchFrame)),e.preventDefault()}},kn.prototype._onTouchFrame=function(){this._frameId=null;var e=this._gestureIntent;if(e){var r=this._map.transform;this._startScale||(this._startScale=r.scale,this._startBearing=r.bearing);var n=this._getTouchEventData(this._lastTouchEvent),i=n.center,a=n.bearing,o=n.scale,s=r.pointLocation(i),l=r.locationPoint(s);"rotate"===e&&(r.bearing=this._startBearing+a),r.zoom=r.scaleZoom(this._startScale*o),r.setLocationAtPoint(this._startAround,l),this._map.fire(new t.Event(e,{originalEvent:this._lastTouchEvent})),this._map.fire(new t.Event("move",{originalEvent:this._lastTouchEvent})),this._drainInertiaBuffer(),this._inertia.push([t.browser.now(),o,i])}},kn.prototype._onEnd=function(e){r.removeEventListener(t.window.document,"touchmove",this._onMove,{passive:!1}),r.removeEventListener(t.window.document,"touchend",this._onEnd);var n=this._gestureIntent,i=this._startScale;if(this._frameId&&(this._map._cancelRenderFrame(this._frameId),this._frameId=null),delete this._gestureIntent,delete this._startScale,delete this._startBearing,delete this._lastTouchEvent,n){this._map.fire(new t.Event(n+"end",{originalEvent:e})),this._drainInertiaBuffer();var a=this._inertia,o=this._map;if(a.length<2)o.snapToNorth({},{originalEvent:e});else{var s=a[a.length-1],l=a[0],c=o.transform.scaleZoom(i*s[1]),u=o.transform.scaleZoom(i*l[1]),h=c-u,f=(s[0]-l[0])/1e3,p=s[2];if(0!==f&&c!==u){var d=.15*h/f;Math.abs(d)>2.5&&(d=d>0?2.5:-2.5);var g=1e3*Math.abs(d/(12*.15)),v=c+d*g/2e3;v<0&&(v=0),o.easeTo({zoom:v,duration:g,easing:wn,around:this._aroundCenter?o.getCenter():o.unproject(p),noMoveStart:!0},{originalEvent:e})}else o.snapToNorth({},{originalEvent:e})}}},kn.prototype._drainInertiaBuffer=function(){for(var e=this._inertia,r=t.browser.now();e.length>2&&r-e[0][0]>160;)e.shift()};var Tn={scrollZoom:pn,boxZoom:dn,dragRotate:vn,dragPan:yn,keyboard:xn,doubleClickZoom:_n,touchZoomRotate:kn},An=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.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.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){if("number"==typeof(i=t.extend({padding:{top:0,bottom:0,right:0,left:0},offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var a=i.padding;i.padding={top:a,bottom:a,right:a,left:a}}if(t.deepEqual(Object.keys(i.padding).sort(function(t,e){return t<e?-1:t>e?1:0}),["bottom","left","right","top"])){var o=this.transform,s=o.project(t.LngLat.convert(e)),l=o.project(t.LngLat.convert(r)),c=s.rotate(-n*Math.PI/180),u=l.rotate(-n*Math.PI/180),h=new t.Point(Math.max(c.x,u.x),Math.max(c.y,u.y)),f=new t.Point(Math.min(c.x,u.x),Math.min(c.y,u.y)),p=h.sub(f),d=(o.width-i.padding.left-i.padding.right)/p.x,g=(o.height-i.padding.top-i.padding.bottom)/p.y;if(!(g<0||d<0)){var v=Math.min(o.scaleZoom(o.scale*Math.min(d,g)),i.maxZoom),m=t.Point.convert(i.offset),y=(i.padding.left-i.padding.right)/2,x=(i.padding.top-i.padding.bottom)/2,b=new t.Point(m.x+y,m.y+x).mult(o.scale/o.zoomScale(v));return{center:o.unproject(s.add(l).div(2).sub(b)),zoom:v,bearing:n}}t.warnOnce("Map cannot fit within canvas with the given bounds, padding, and/or offset.")}else t.warnOnce("options.padding must be a positive number, or an Object with keys 'bottom', 'left', 'right', 'top'")},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?(r=t.extend(e,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),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=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l="zoom"in e?+e.zoom:a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,u="pitch"in e?+e.pitch:s,h=i.centerPoint.add(t.Point.convert(e.offset)),f=i.pointLocation(h),p=t.LngLat.convert(e.center||f);this._normalizeCenter(p);var d,g,v=i.project(f),m=i.project(p).sub(v),y=i.zoomScale(l-a);return e.around&&(d=t.LngLat.convert(e.around),g=i.locationPoint(d)),this._zooming=l!==a,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,e.noMoveStart),clearTimeout(this._easeEndTimeoutID),this._ease(function(e){if(n._zooming&&(i.zoom=t.number(a,l,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,u,e)),d)i.setLocationAtPoint(d,g);else{var f=i.zoomScale(i.zoom-a),p=l>a?Math.min(2,y):Math.max(.5,y),x=Math.pow(p,1-e),b=i.unproject(v.add(m.mult(e*x)).mult(f));i.setLocationAtPoint(i.renderWorldCopies?b.wrap():b,h)}n._fireMoveEvents(r)},function(){e.delayEndEvents?n._easeEndTimeoutID=setTimeout(function(){return n._afterEase(r)},e.delayEndEvents):n._afterEase(r)},e),this},r.prototype._prepareEase=function(e,r){this._moving=!0,r||this.fire(new t.Event("movestart",e)),this._zooming&&this.fire(new t.Event("zoomstart",e)),this._rotating&&this.fire(new t.Event("rotatestart",e)),this._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){var r=this._zooming,n=this._rotating,i=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,r&&this.fire(new t.Event("zoomend",e)),n&&this.fire(new t.Event("rotateend",e)),i&&this.fire(new t.Event("pitchend",e)),this.fire(new t.Event("moveend",e))},r.prototype.flyTo=function(e,r){var n=this;this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l="zoom"in e?t.clamp(+e.zoom,i.minZoom,i.maxZoom):a,c="bearing"in e?this._normalizeBearing(e.bearing,o):o,u="pitch"in e?+e.pitch:s,h=i.zoomScale(l-a),f=i.centerPoint.add(t.Point.convert(e.offset)),p=i.pointLocation(f),d=t.LngLat.convert(e.center||p);this._normalizeCenter(d);var g=i.project(p),v=i.project(d).sub(g),m=e.curve,y=Math.max(i.width,i.height),x=y/h,b=v.mag();if("minZoom"in e){var _=t.clamp(Math.min(e.minZoom,a,l),i.minZoom,i.maxZoom),w=y/i.zoomScale(_-a);m=Math.sqrt(w/b*2)}var k=m*m;function T(t){var e=(x*x-y*y+(t?-1:1)*k*k*b*b)/(2*(t?x:y)*k*b);return Math.log(Math.sqrt(e*e+1)-e)}function A(t){return(Math.exp(t)-Math.exp(-t))/2}function M(t){return(Math.exp(t)+Math.exp(-t))/2}var S=T(0),E=function(t){return M(S)/M(S+m*t)},C=function(t){return y*((M(S)*(A(e=S+m*t)/M(e))-A(S))/k)/b;var e},L=(T(1)-S)/m;if(Math.abs(b)<1e-6||!isFinite(L)){if(Math.abs(y-x)<1e-6)return this.easeTo(e,r);var P=x<y?-1:1;L=Math.abs(Math.log(x/y))/m,C=function(){return 0},E=function(t){return Math.exp(P*m*t)}}if("duration"in e)e.duration=+e.duration;else{var O="screenSpeed"in e?+e.screenSpeed/m:+e.speed;e.duration=1e3*L/O}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=o!==c,this._pitching=u!==s,this._prepareEase(r,!1),this._ease(function(e){var h=e*L,p=1/E(h);i.zoom=1===e?l:a+i.scaleZoom(p),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,u,e));var m=1===e?d:i.unproject(g.add(v.mult(C(h))).mult(p));i.setLocationAtPoint(i.renderWorldCopies?m.wrap():m,f),n._fireMoveEvents(r)},function(){return n._afterEase(r)},e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var t=this._onEaseEnd;delete this._onEaseEnd,t.call(this)}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),Mn=function(e){void 0===e&&(e={}),this.options=e,t.bindAll(["_updateEditLink","_updateData","_updateCompact"],this)};Mn.prototype.getDefaultPosition=function(){return"bottom-right"},Mn.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-attrib"),this._innerContainer=r.create("div","mapboxgl-ctrl-attrib-inner",this._container),e&&this._container.classList.add("mapboxgl-compact"),this._updateAttributions(),this._updateEditLink(),this._map.on("styledata",this._updateData),this._map.on("sourcedata",this._updateData),this._map.on("moveend",this._updateEditLink),void 0===e&&(this._map.on("resize",this._updateCompact),this._updateCompact()),this._container},Mn.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},Mn.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: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"}},Mn.prototype._updateData=function(t){!t||"metadata"!==t.sourceDataType&&"style"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Mn.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)}},Mn.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add("mapboxgl-compact"):this._container.classList.remove("mapboxgl-compact")};var Sn=function(){t.bindAll(["_updateLogo"],this),t.bindAll(["_updateCompact"],this)};Sn.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","Mapbox logo"),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},Sn.prototype.onRemove=function(){r.remove(this._container),this._map.off("sourcedata",this._updateLogo),this._map.off("resize",this._updateCompact)},Sn.prototype.getDefaultPosition=function(){return"bottom-left"},Sn.prototype._updateLogo=function(t){t&&"metadata"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?"block":"none")},Sn.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}},Sn.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 En=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};En.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},En.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)}},En.prototype.run=function(){var t=this._currentlyRunning=this._queue;this._queue=[];for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!n.cancelled&&(n.callback(),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},En.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Cn=t.window.HTMLImageElement,Ln=t.window.HTMLElement,Pn={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:0,maxZoom:22,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,bearingSnap:7,clickTolerance:3,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:"sans-serif",transformRequest:null,fadeDuration:300,crossSourceCollisions:!0},On=function(n){function i(e){var i=this;if(null!=(e=t.extend({},Pn,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error("maxZoom must be greater than minZoom");var a=new sn(e.minZoom,e.maxZoom,e.renderWorldCopies);if(n.call(this,a,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new En,this._controls=[],this._mapId=t.uniqueId(),this._requestManager=new t.RequestManager(e.transformRequest),"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 Ln))throw new Error("Invalid type: 'container' must be a String or HTMLElement.");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll(["_onWindowOnline","_onWindowResize","_contextLost","_contextRestored"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error("Failed to initialize WebGL.");this.on("move",function(){return i._update(!1)}),this.on("moveend",function(){return i._update(!1)}),this.on("zoom",function(){return i._update(!0)}),void 0!==t.window&&(t.window.addEventListener("online",this._onWindowOnline,!1),t.window.addEventListener("resize",this._onWindowResize,!1)),function(t,e){var n=t.getCanvasContainer(),i=null,a=!1,o=null;for(var s in Tn)t[s]=new Tn[s](t,e),e.interactive&&e[s]&&t[s].enable(e[s]);r.addEventListener(n,"mouseout",function(e){t.fire(new un("mouseout",t,e))}),r.addEventListener(n,"mousedown",function(i){a=!0,o=r.mousePos(n,i);var s=new un("mousedown",t,i);t.fire(s),s.defaultPrevented||(e.interactive&&!t.doubleClickZoom.isActive()&&t.stop(),t.boxZoom.onMouseDown(i),t.boxZoom.isActive()||t.dragPan.isActive()||t.dragRotate.onMouseDown(i),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onMouseDown(i))}),r.addEventListener(n,"mouseup",function(e){var r=t.dragRotate.isActive();i&&!r&&t.fire(new un("contextmenu",t,i)),i=null,a=!1,t.fire(new un("mouseup",t,e))}),r.addEventListener(n,"mousemove",function(e){if(!t.dragPan.isActive()&&!t.dragRotate.isActive()){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new un("mousemove",t,e))}}),r.addEventListener(n,"mouseover",function(e){for(var r=e.target;r&&r!==n;)r=r.parentNode;r===n&&t.fire(new un("mouseover",t,e))}),r.addEventListener(n,"touchstart",function(r){var n=new hn("touchstart",t,r);t.fire(n),n.defaultPrevented||(e.interactive&&t.stop(),t.boxZoom.isActive()||t.dragRotate.isActive()||t.dragPan.onTouchStart(r),t.touchZoomRotate.onStart(r),t.doubleClickZoom.onTouchStart(n))},{passive:!1}),r.addEventListener(n,"touchmove",function(e){t.fire(new hn("touchmove",t,e))},{passive:!1}),r.addEventListener(n,"touchend",function(e){t.fire(new hn("touchend",t,e))}),r.addEventListener(n,"touchcancel",function(e){t.fire(new hn("touchcancel",t,e))}),r.addEventListener(n,"click",function(i){var a=r.mousePos(n,i);(a.equals(o)||a.dist(o)<e.clickTolerance)&&t.fire(new un("click",t,i))}),r.addEventListener(n,"dblclick",function(e){var r=new un("dblclick",t,e);t.fire(r),r.defaultPrevented||t.doubleClickZoom.onDblClick(r)}),r.addEventListener(n,"contextmenu",function(e){var r=t.dragRotate.isActive();a||r?a&&(i=e):t.fire(new un("contextmenu",t,e)),(t.dragRotate.isEnabled()||t.listens("contextmenu"))&&e.preventDefault()}),r.addEventListener(n,"wheel",function(r){e.interactive&&t.stop();var n=new fn("wheel",t,r);t.fire(n),n.defaultPrevented||t.scrollZoom.onWheel(r)},{passive:!1})}(this,e),this._hash=e.hash&&(new cn).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 Mn({customAttribution:e.customAttribution})),this.addControl(new Sn,e.logoPosition),this.on("style.load",function(){i.transform.unmodified&&i.jumpTo(i.style.stylesheet)}),this.on("data",function(e){i._update("style"===e.dataType),i.fire(new t.Event(e.dataType+"data",e))}),this.on("dataloading",function(e){i.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},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r="top-right"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf("bottom")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error("Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];return this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i),this.fire(new t.Event("movestart",e)).fire(new t.Event("move",e)).fire(new t.Event("resize",e)).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?0:t)>=0&&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 0 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.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},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.dragPan.isActive()||this.dragRotate.isActive()||this.scrollZoom.isActive()},i.prototype.isZooming=function(){return this._zooming||this.scrollZoom.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.dragRotate.isActive()},i.prototype.on=function(t,e,r){var i=this;if(void 0===r)return n.prototype.on.call(this,t,e);var a=function(){var n;if("mouseenter"===t||"mouseover"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if("mouseleave"===t||"mouseout"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}}();for(var o in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(a),a.delegates)this.on(o,a.delegates[o]);return this},i.prototype.off=function(t,e,r){if(void 0===r)return n.prototype.off.call(this,t,e);if(this._delegatedListeners&&this._delegatedListeners[t])for(var i=this._delegatedListeners[t],a=0;a<i.length;a++){var o=i[a];if(o.layer===e&&o.listener===r){for(var s in o.delegates)this.off(s,o.delegates[s]);return i.splice(a,1),this}}return 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:Pn.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._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new De(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._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.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.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;if(void 0===a&&(a=!1),r instanceof Cn){var o=t.browser.getImageData(r),s=o.width,l=o.height,c=o.data;this.style.addImage(e,{data:new t.RGBAImage({width:s,height:l},c),pixelRatio:i,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`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`")));var u=r.width,h=r.height,f=r.data,p=r;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},new Uint8Array(f)),pixelRatio:i,sdf:a,version:0,userImage:p}),p.onAdd&&p.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 Cn?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`, 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 Cn);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.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.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(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.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.style.position="absolute",this._canvas.addEventListener("webglcontextlost",this._contextLost,!1),this._canvas.addEventListener("webglcontextrestored",this._contextRestored,!1),this._canvas.setAttribute("tabindex","0"),this._canvas.setAttribute("aria-label","Map");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create("div","mapboxgl-control-container",t),a=this._controlPositions={};["top-left","top-right","bottom-left","bottom-right"].forEach(function(t){a[t]=r.create("div","mapboxgl-ctrl-"+t,i)})},i.prototype._resizeCanvas=function(e,r){var n=t.window.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 rn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error("Failed to initialize WebGL")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event("webglcontextlost",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event("webglcontextrestored",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(){this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run();var e=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var r=this.transform.zoom,n=t.browser.now();this.style.zoomHistory.update(r,n);var i=new t.EvaluationParameters(r,{now:n,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),a=i.crossFadingFactor();1===a&&a===this._crossFadingFactor||(e=!0,this._crossFadingFactor=a),this.style.update(i)}return 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}),this.fire(new t.Event("render")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event("load"))),this.style&&(this.style.hasTransitions()||e)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this._sourcesDirty||this._repaint||this._styleDirty||this._placementDirty?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event("idle")),this},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener("resize",this._onWindowResize,!1),t.window.removeEventListener("online",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension("WEBGL_lose_context");n&&n.loseContext(),zn(this._canvasContainer),zn(this._controlContainer),zn(this._missingCSSCanary),this._container.classList.remove("mapboxgl-map"),this.fire(new t.Event("remove"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame(function(){e._frame=null,e._render()}))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(){this._trackResize&&this.resize()._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=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)},Object.defineProperties(i.prototype,a),i}(An);function zn(t){t.parentNode&&t.parentNode.removeChild(t)}var In={showCompass:!0,showZoom:!0},Dn=function(e){var n=this;this.options=t.extend({},In,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(["_updateZoomButtons"],this),this._zoomInButton=this._createButton("mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-in","Zoom in",function(){return n._map.zoomIn()}),this._zoomOutButton=this._createButton("mapboxgl-ctrl-icon mapboxgl-ctrl-zoom-out","Zoom out",function(){return n._map.zoomOut()})),this.options.showCompass&&(t.bindAll(["_rotateCompassArrow"],this),this._compass=this._createButton("mapboxgl-ctrl-icon mapboxgl-ctrl-compass","Reset bearing to north",function(){return n._map.resetNorth()}),this._compassArrow=r.create("span","mapboxgl-ctrl-compass-arrow",this._compass))};function Rn(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}Dn.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.classList.toggle("mapboxgl-ctrl-icon-disabled",t===this._map.getMaxZoom()),this._zoomOutButton.classList.toggle("mapboxgl-ctrl-icon-disabled",t===this._map.getMinZoom())},Dn.prototype._rotateCompassArrow=function(){var t="rotate("+this._map.transform.angle*(180/Math.PI)+"deg)";this._compassArrow.style.transform=t},Dn.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._map.on("zoom",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._map.on("rotate",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new vn(t,{button:"left",element:this._compass}),r.addEventListener(this._compass,"mousedown",this._handler.onMouseDown),this._handler.enable()),this._container},Dn.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off("zoom",this._updateZoomButtons),this.options.showCompass&&(this._map.off("rotate",this._rotateCompassArrow),r.removeEventListener(this._compass,"mousedown",this._handler.onMouseDown),this._handler.disable(),delete this._handler),delete this._map},Dn.prototype._createButton=function(t,e,n){var i=r.create("button",t,this._container);return i.type="button",i.title=e,i.setAttribute("aria-label",e),i.addEventListener("click",n),i};var Fn={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 Bn(t,e,r){var n=t.classList;for(var i in Fn)n.remove("mapboxgl-"+r+"-anchor-"+i);n.add("mapboxgl-"+r+"-anchor-"+e)}var Nn,jn=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"],this),this._anchor=n&&n.anchor||"center",this._color=n&&n.color||"#3FB1CE",this._draggable=n&&n.draggable||!1,this._state="inactive",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");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 g=r.createNS("http://www.w3.org/2000/svg","g");g.setAttributeNS(null,"opacity","0.25"),g.setAttributeNS(null,"fill","#000000");var v=r.createNS("http://www.w3.org/2000/svg","path");v.setAttributeNS(null,"d","M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z"),g.appendChild(v);var m=r.createNS("http://www.w3.org/2000/svg","g");m.setAttributeNS(null,"transform","translate(6.0, 7.0)"),m.setAttributeNS(null,"fill","#FFFFFF");var y=r.createNS("http://www.w3.org/2000/svg","g");y.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 b=r.createNS("http://www.w3.org/2000/svg","circle");b.setAttributeNS(null,"fill","#FFFFFF"),b.setAttributeNS(null,"cx","5.5"),b.setAttributeNS(null,"cy","5.5"),b.setAttributeNS(null,"r","5.4999962"),y.appendChild(x),y.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(g),s.appendChild(m),s.appendChild(y),a.appendChild(s),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()}),Bn(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),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),t){if(!("offset"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],"top-left":[0,0],"top-right":[0,0],bottom:[0,-38.1],"bottom-left":[e,-1*(24.6+e)],"bottom-right":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat)}return this},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){this._map&&(this._map.transform.renderWorldCopies&&(this._lngLat=Rn(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset),t&&"moveend"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,Fn[this._anchor]+" translate("+this._pos.x+"px, "+this._pos.y+"px)"))},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents="none","pending"===this._state&&(this._state="active",this.fire(new t.Event("dragstart"))),this.fire(new t.Event("drag"))},n.prototype._onUp=function(){this._element.style.pointerEvents="auto",this._positionDelta=null,this._map.off("mousemove",this._onMove),this._map.off("touchmove",this._onMove),"active"===this._state&&this.fire(new t.Event("dragend")),this._state="inactive"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state="pending",this._map.on("mousemove",this._onMove),this._map.on("touchmove",this._onMove),this._map.once("mouseup",this._onUp),this._map.once("touchend",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on("mousedown",this._addDragHandler),this._map.on("touchstart",this._addDragHandler)):(this._map.off("mousedown",this._addDragHandler),this._map.off("touchstart",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n}(t.Evented),Un={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showUserLocation:!0},Vn=function(e){function n(r){e.call(this),this.options=t.extend({},Un,r),t.bindAll(["_onSuccess","_onError","_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){var n;return this._map=e,this._container=r.create("div","mapboxgl-ctrl mapboxgl-ctrl-group"),n=this._setupUI,void 0!==Nn?n(Nn):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:"geolocation"}).then(function(t){Nn="denied"!==t.state,n(Nn)}):(Nn=!!t.window.navigator.geolocation,n(Nn)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),r.remove(this._container),this._map=void 0},n.prototype._onSuccess=function(e){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(t){t?this._userLocationDotMarker.setLngLat([t.coords.longitude,t.coords.latitude]).addTo(this._map):this._userLocationDotMarker.remove()},n.prototype._onError=function(e){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"),void 0!==this._geolocationWatchID&&this._clearWatch();else 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")}"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;!1!==e?(this._container.addEventListener("contextmenu",function(t){return t.preventDefault()}),this._geolocateButton=r.create("button","mapboxgl-ctrl-icon mapboxgl-ctrl-geolocate",this._container),this._geolocateButton.type="button",this._geolocateButton.setAttribute("aria-label","Geolocate"),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 jn(this._dotElement),this.options.trackUserLocation&&(this._watchState="OFF")),this._geolocateButton.addEventListener("click",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on("movestart",function(e){e.geolocateSource||"ACTIVE_LOCK"!==n._watchState||(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")))})):t.warnOnce("Geolocation support is not available, the GeolocateControl will not be visible.")},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":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")}"OFF"===this._watchState&&void 0!==this._geolocationWatchID?this._clearWatch():void 0===this._geolocationWatchID&&(this._geolocateButton.classList.add("mapboxgl-ctrl-geolocate-waiting"),this._geolocateButton.setAttribute("aria-pressed","true"),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,this.options.positionOptions))}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),qn={maxWidth:100,unit:"metric"},Hn=function(e){this.options=t.extend({},qn,e),t.bindAll(["_onMove","setUnit"],this)};function Gn(t,e,r){var n,i,a,o,s,l,c=r&&r.maxWidth||100,u=t._container.clientHeight/2,h=(n=t.unproject([0,u]),i=t.unproject([c,u]),a=Math.PI/180,o=n.lat*a,s=i.lat*a,l=Math.sin(o)*Math.sin(s)+Math.cos(o)*Math.cos(s)*Math.cos((i.lng-n.lng)*a),6371e3*Math.acos(Math.min(l,1)));if(r&&"imperial"===r.unit){var f=3.2808*h;f>5280?Yn(e,c,f/5280,"mi"):Yn(e,c,f,"ft")}else r&&"nautical"===r.unit?Yn(e,c,h/1852,"nm"):Yn(e,c,h,"m")}function Yn(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(""+Math.floor(i)).length-1))*(o=(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;"m"===n&&s>=1e3&&(s/=1e3,n="km"),t.style.width=e*l+"px",t.innerHTML=s+n}Hn.prototype.getDefaultPosition=function(){return"bottom-left"},Hn.prototype._onMove=function(){Gn(this._map,this._container,this.options)},Hn.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},Hn.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Hn.prototype.setUnit=function(t){this.options.unit=t,Gn(this._map,this._container,this.options)};var Wn=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"),this._className="mapboxgl-ctrl"};Wn.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create("div",this._className+" mapboxgl-ctrl-group"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display="none",t.warnOnce("This device does not support fullscreen mode.")),this._controlContainer},Wn.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Wn.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Wn.prototype._setupUI=function(){(this._fullscreenButton=r.create("button",this._className+"-icon "+this._className+"-fullscreen",this._controlContainer)).type="button",this._updateTitle(),this._fullscreenButton.addEventListener("click",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Wn.prototype._updateTitle=function(){var t=this._isFullscreen()?"Exit fullscreen":"Enter fullscreen";this._fullscreenButton.setAttribute("aria-label",t),this._fullscreenButton.title=t},Wn.prototype._isFullscreen=function(){return this._fullscreen},Wn.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(this._className+"-shrink"),this._fullscreenButton.classList.toggle(this._className+"-fullscreen"),this._updateTitle())},Wn.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 Xn={closeButton:!0,closeOnClick:!0,className:"",maxWidth:"240px"},Zn=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Xn),r),t.bindAll(["_update","_onClickClose","remove"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){var r=this;return this._map=e,this.options.closeOnClick&&this._map.on("click",this._onClickClose),this._map.on("remove",this.remove),this._update(),this._trackPointer?(this._map.on("mousemove",function(t){r._update(t.point)}),this._map.on("mouseup",function(t){r._update(t.point)}),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("click",this._onClickClose),this._map.off("remove",this.remove),this._map.off("mousemove"),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._map&&(this._map.on("move",this._update),this._map.off("mousemove"),this._container.classList.remove("mapboxgl-popup-track-pointer"),this._map._canvasContainer.classList.remove("mapboxgl-track-pointer")),this._trackPointer=!1,this._update(),this},n.prototype.trackPointer=function(){var t=this;return this._trackPointer=!0,this._pos=null,this._map&&(this._map.off("move",this._update),this._map.on("mousemove",function(e){t._update(e.point)}),this._map.on("drag",function(e){t._update(e.point)}),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.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create("div","mapboxgl-popup-content",this._container),this.options.closeButton&&(this._closeButton=r.create("button","mapboxgl-popup-close-button",this._content),this._closeButton.type="button",this._closeButton.setAttribute("aria-label","Close popup"),this._closeButton.innerHTML="&#215;",this._closeButton.addEventListener("click",this._onClickClose))},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create("div","mapboxgl-popup",this._map.getContainer()),this._tip=r.create("div","mapboxgl-popup-tip",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(" ").forEach(function(t){return n._container.classList.add(t)})),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Rn(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if("number"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),"top-left":new t.Point(n,n),"top-right":new t.Point(-n,n),bottom:new t.Point(0,-r),"bottom-left":new t.Point(n,-n),"bottom-right":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,"top-left":i,"top-right":i,bottom:i,"bottom-left":i,"bottom-right":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),"top-left":t.Point.convert(r["top-left"]||[0,0]),"top-right":t.Point.convert(r["top-right"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),"bottom-left":t.Point.convert(r["bottom-left"]||[0,0]),"bottom-right":t.Point.convert(r["bottom-right"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?["top"]:a.y>this._map.transform.height-u?["bottom"]:[],a.x<c/2?l.push("left"):a.x>this._map.transform.width-c/2&&l.push("right"),o=0===l.length?"bottom":l.join("-")}var h=a.add(s[o]).round();r.setTransform(this._container,Fn[o]+" translate("+h.x+"px,"+h.y+"px)"),Bn(this._container,o,"popup")}},n.prototype._onClickClose=function(){this.remove()},n}(t.Evented),Jn={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,Map:On,NavigationControl:Dn,GeolocateControl:Vn,AttributionControl:Mn,ScaleControl:Hn,FullscreenControl:Wn,Popup:Zn,Marker:jn,Style:De,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,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 zt.workerCount},set workerCount(t){zt.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 Jn}),r},"object"==typeof r&&"undefined"!=typeof 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color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D dashPattern;\n\nuniform float dashSize, pixelRatio, thickness, opacity, id;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\n\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\nattribute vec4 aColor, bColor;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, translate;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\nuniform float miterLimit, miterMode;\n\nvarying vec4 fragColor;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 tangent;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nconst float REVERSE_THRESHOLD = -.875;\nconst float MIN_DIFF = 1e-6;\n\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\n// TODO: precalculate dot products, normalize things beforehead etc.\n// TODO: refactor to rectangular algorithm\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nbool isNaN( float val ){\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\n}\n\nvoid main() {\n\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\n\n  vec2 adjustedScale;\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\n\n  vec2 scaleRatio = adjustedScale * viewport.zw;\n\tvec2 normalWidth = thickness / scaleRatio;\n\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineBot = 1. - lineTop;\n\n\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\n\n\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\n\n\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\n\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\n\n\tvec2 prevDiff = aCoord - prevCoord;\n\tvec2 currDiff = bCoord - aCoord;\n\tvec2 nextDiff = nextCoord - bCoord;\n\n\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\n\tvec2 currTangent = normalize(currDiff * scaleRatio);\n\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\n\n\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\n\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\n\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\n\n\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\n\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\n\n\t// collapsed/unidirectional segment cases\n\t// FIXME: there should be more elegant solution\n\tvec2 prevTanDiff = abs(prevTangent - currTangent);\n\tvec2 nextTanDiff = abs(nextTangent - currTangent);\n\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\n\t\tstartJoinDirection = currNormal;\n\t}\n\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\n\t\tendJoinDirection = currNormal;\n\t}\n\tif (aCoord == bCoord) {\n\t\tendJoinDirection = startJoinDirection;\n\t\tcurrNormal = prevNormal;\n\t\tcurrTangent = prevTangent;\n\t}\n\n\ttangent = currTangent;\n\n\t//calculate join shifts relative to normals\n\tfloat startJoinShift = dot(currNormal, startJoinDirection);\n\tfloat endJoinShift = dot(currNormal, endJoinDirection);\n\n\tfloat startMiterRatio = abs(1. / startJoinShift);\n\tfloat endMiterRatio = abs(1. / endJoinShift);\n\n\tvec2 startJoin = startJoinDirection * startMiterRatio;\n\tvec2 endJoin = endJoinDirection * endMiterRatio;\n\n\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\n\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\n\tstartBotJoin = -startTopJoin;\n\n\tendTopJoin = sign(endJoinShift) * endJoin * .5;\n\tendBotJoin = -endTopJoin;\n\n\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\n\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\n\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\n\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\n\n\t//miter anti-clipping\n\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\n\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\n\n\t//prevent close to reverse direction switch\n\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\n\n\tif (prevReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\n\t\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\n\t\t//handle miter clipping\n\t\tbTopCoord -= normalWidth * endTopJoin;\n\t\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\n\t}\n\n\tif (nextReverse) {\n\t\t//make join rectangular\n\t\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\n\t\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\n\t\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\n\t\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\n\t}\n\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\n\t\t//handle miter clipping\n\t\taBotCoord -= normalWidth * startBotJoin;\n\t\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\n\t}\n\n\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\n\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\n\n\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\n\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\n\n\t//position is normalized 0..1 coord on the screen\n\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\n\n\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\n\n\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\n\n\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\n\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\n\n\t//bevel miter cutoffs\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n\n\t//round miter cutoffs\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\n\t\t\tstartCutoff = vec4(aCoord, aCoord);\n\t\t\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\n\t\t\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tstartCutoff += viewport.xyxy;\n\t\t\tstartCutoff += startMiterWidth.xyxy;\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\n\t\t\tendCutoff = vec4(bCoord, bCoord);\n\t\t\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\n\t\t\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\n\t\t\tendCutoff += viewport.xyxy;\n\t\t\tendCutoff += endMiterWidth.xyxy;\n\t\t}\n\t}\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform sampler2D dashPattern;\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\n\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert:o(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec2 position, positionFract;\n\nuniform vec4 color;\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float pixelRatio, id;\nuniform vec4 viewport;\nuniform float opacity;\n\nvarying vec4 fragColor;\n\nconst float MAX_LINES = 256.;\n\nvoid main() {\n\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\n\n\tvec2 position = position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n\tfragColor.a *= opacity;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n\tgl_FragColor = fragColor;\n}\n"]),uniforms:{scale:t.prop("scale"),color:t.prop("fill"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),translate:t.prop("translate"),opacity:t.prop("opacity"),pixelRatio:t.context("pixelRatio"),id:t.prop("id"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop("positionBuffer"),stride:8,offset:8},positionFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.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},v.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()},v.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>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold?t.shaders.rect(e):"rect"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))}),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?"number"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach(function(t,h){var d=e.passes[h];if(void 0!==t)if(null!==t){if("number"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:"positions points data coords",thickness:"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth",join:"lineJoin 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z=e[2],I=e[6],D=e[10],R=z*s+I*l+D*h,F=z*x+I*b+D*_,B=z*T+I*A+D*M;m=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,m),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var q=V[15],H=V[12]/q,G=V[13]/q,Y=V[14]/q,W=Math.exp(this.computedRadius[0]);this.center.jump(t,H-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var 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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((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var 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},{"../main":571,"object-assign":454}],565:[function(t,e,r){var n=t("../main"),i=t("object-assign");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},{"../main":571,"object-assign":454}],566:[function(t,e,r){var n=t("../main"),i=t("object-assign");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 this.daysInYear(t)!==this.daysPerYear},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){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),"undefined"==typeof this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),"undefined"==typeof this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==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=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=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++)"undefined"==typeof 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],2000:[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:[16,31,32,31,32,31,30,30,30,29,29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n=t("object-assign");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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j=e.font,U=x._meta?o.templateString(e.text,x._meta):e.text,V=z.append("text").classed("annotation-text",!0).text(U);_.annotationText?V.call(h.makeEditable,{delegate:z,gd:t}).call(H).on("edit",function(r){e.text=r,this.call(H),T("text",r),s&&s.autorange&&k(s._name+".autorange",!0),v&&v.autorange&&k(v._name+".autorange",!0),i.call("_guiRelayout",t,A())}):V.call(H)}else n.selectAll("#"+M).remove();function q(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function H(r){return r.call(c.font,j).attr({"text-anchor":{left:"start",right:"end"}[e.align]||"middle"}),h.convertToTspans(r,t,G),r}function G(){var r=V.selectAll("a");1===r.size()&&r.text()===V.text()&&z.insert("a",":first-child").attr({"xlink:xlink:href":r.attr("xlink:href"),"xlink:xlink:show":r.attr("xlink:show")}).style({cursor:"pointer"}).node().appendChild(F.node());var 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z.remove()}}e.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&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:m}},{"../../lib":719,"../../lib/setcursor":739,"../../lib/svg_text_utils":743,"../../plot_api/plot_template":757,"../../plots/cartesian/axes":767,"../../plots/plots":828,"../../registry":847,"../color":593,"../dragelement":611,"../drawing":614,"../fx":632,"./draw_arrow_head":583,d3:163}],583:[function(t,e,r){"use strict";var n=t("d3"),i=t("../color"),a=t("./arrow_paths");e.exports=function(t,e,r){var o,s,l,c,u=t.node(),h=a[r.arrowhead||0],f=a[r.startarrowhead||0],p=(r.arrowwidth||1)*(r.arrowsize||1),d=(r.arrowwidth||1)*(r.startarrowsize||1),g=e.indexOf("start")>=0,v=e.indexOf("end")>=0,m=h.backoff*p+r.standoff,y=f.backoff*d+r.startstandoff;if("line"===u.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},s={x:+t.attr("x2"),y:+t.attr("y2")};var 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n=t("../annotations/attributes"),i=t("../../plot_api/edit_types").overrideAll,a=t("../../plot_api/plot_template").templatedArray;e.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")},{"../../plot_api/edit_types":750,"../../plot_api/plot_template":757,"../annotations/attributes":576}],586:[function(t,e,r){"use 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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))}}},{"../../plots/gl3d/project":816,"../annotations/draw":582}],589:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib");e.exports={moduleType:"component",name:"annotations3d",schema:{subplots:{scene:{annotations:t("./attributes")}}},layoutAttributes:t("./attributes"),handleDefaults:t("./defaults"),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(!r)return;for(var 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:t("./convert"),draw:t("./draw")}},{"../../lib":719,"../../registry":847,"./attributes":585,"./convert":586,"./defaults":587,"./draw":588}],590:[function(t,e,r){"use 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This does not set the calendar for","interpreting data on this axis, that's specified in the trace","or via the global `layout.calendar`"].join(" "));e.exports={moduleType:"component",name:"calendars",schema:{traces:{scatter:m,bar:m,box:m,heatmap:m,contour:m,histogram:m,histogram2d:m,histogram2dcontour:m,scatter3d:y,surface:y,mesh3d:y,scattergl:m,ohlc:v,candlestick:v},layout:{calendar:d(["Sets the default calendar system to use for interpreting and","displaying dates throughout the plot."].join(" "))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d(["Sets the calendar system to use for `value`, if it is a date."].join(" ")),targetcalendar:d(["Sets the calendar system to use for `target`, if it is an","array of dates. 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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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r,n=null,i=1/0,a=0;a<t.length;a++)(r=t[a].spikeDistance)<i&&r<=e&&(n=t[a],i=r);return n}function vt(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}var mt={fullLayout:u,container:u._hoverlayer,outerContainer:u._paperdiv,event:e},yt=t._spikepoints,xt={vLinePoint:$.vLinePoint,hLinePoint:$.hLinePoint};if(t._spikepoints=xt,y&&0!==Z&&0!==J.length){var bt=J.filter(function(t){return t.ya.showspikes}),_t=gt(bt,Z);$.hLinePoint=vt(_t);var wt=J.filter(function(t){return t.xa.showspikes}),kt=gt(wt,Z);$.vLinePoint=vt(kt)}if(0===J.length){var Tt=f.unhoverRaw(t,e);return!y||null===$.hLinePoint&&null===$.vLinePoint||C(yt)&&E($,mt),Tt}y&&C(yt)&&E($,mt);J.sort(function(t,e){return t.distance-e.distance});var At=t._hoverdata,Mt=[];for(F=0;F<J.length;F++){var St=J[F],Et=g.makeEventData(St,St.trace,St.cd);if(!1!==St.hovertemplate){var Ct=!1;St.cd[St.index]&&St.cd[St.index].ht&&(Ct=St.cd[St.index].ht),St.hovertemplate=Ct||St.trace.hovertemplate||!1}St.eventData=[Et],Mt.push(Et)}t._hoverdata=Mt;var Lt="y"===I&&(K.length>1||J.length>1)||"closest"===I&&Q&&J.length>1,Pt=h.combine(u.plot_bgcolor||h.background,u.paper_bgcolor),Ot={hovermode:I,rotateLabels:Lt,bgColor:Pt,container:u._hoverlayer,outerContainer:u._paperdiv,commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance},zt=A(J,Ot,t);if(function(t,e,r){var n,i,a,o,s,l,c,u=0,h=1,f=t.size(),p=new Array(f),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}for(t.each(function(t){var n=t[e],i="x"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(h=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?x:1)/2,pmin:0,pmax:i?r.width:r.height}]}),p.sort(function(t,e){return t[0].posref-e[0].posref||h*(e[0].traceIndex-t[0].traceIndex)});!n&&u<=f;){for(u++,n=!0,o=0;o<p.length-1;){var v=p[o],m=p[o+1],y=v[v.length-1],b=m[0];if((i=y.pos+y.dp+y.size-b.pos-b.dp+b.size)>.01&&y.pmin===b.pmin&&y.pmax===b.pmax){for(s=m.length-1;s>=0;s--)m[s].dp+=i;for(v.push.apply(v,m),p.splice(o+1,1),c=0,s=v.length-1;s>=0;s--)c+=v[s].dp;for(a=c/v.length,s=v.length-1;s>=0;s--)v[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var _=p[o];for(s=_.length-1;s>=0;s--){var w=_[s],k=w.datum;k.offset=w.dp,k.del=w.del}}}(zt,Lt?"xa":"ya",u),M(zt,Lt),e.target&&e.target.tagName){var It=d.getComponentMethod("annotations","hasClickToShow")(t,Mt);c(n.select(e.target),It?"pointer":"")}if(!e.target||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,At))return;At&&t.emit("plotly_unhover",{event:e,points:At});t.emit("plotly_hover",{event:e,points:t._hoverdata,xaxes:w,yaxes:k,xvals:D,yvals:R})}(t,e,r,a)})},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=t.map(function(t){return{color:t.color||h.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,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:""},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,eventData:t.eventData||!1,hovertemplateLabels:t.hovertemplateLabels||!1}}),a=n.select(e.container),o=e.outerContainer?n.select(e.outerContainer):a,s={hovermode:"closest",rotateLabels:!1,bgColor:e.bgColor||h.background,container:a,outerContainer:o},l=A(i,s,e.gd),c=0,u=0;return l.sort(function(t,e){return t.y0-e.y0}).each(function(t,r){var n=t.y0-t.by/2;t.offset=n-5<c?c-n+5:0,c=n+t.by+t.offset,r===e.anchorIndex&&(u=t.offset)}).each(function(t){t.offset-=u}),M(l,s.rotateLabels),r?l:l.node()};var T=/<extra>([\s\S]*)<\/extra>/;function A(t,e,r){var i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,f=e.container,p=e.outerContainer,d=e.commonLabelOpts||{},g=e.fontFamily||v.HOVERFONT,y=e.fontSize||v.HOVERFONTSIZE,x=t[0],b=x.xa,_=x.ya,A="y"===a?"yLabel":"xLabel",M=x[A],S=(String(M)||"").split(" ")[0],E=p.node().getBoundingClientRect(),C=E.top,P=E.width,O=E.height,z=void 0!==M&&x.distance<=e.hoverdistance&&("x"===a||"y"===a);if(z){var I,D,R=!0;for(I=0;I<t.length;I++)if(R&&void 0===t[I].zLabel&&(R=!1),D=t[I].hoverinfo||t[I].trace.hoverinfo){var F=Array.isArray(D)?D:D.split("+");if(-1===F.indexOf("all")&&-1===F.indexOf(a)){z=!1;break}}R&&(z=!1)}var B=f.selectAll("g.axistext").data(z?[0]:[]);B.enter().append("g").classed("axistext",!0),B.exit().remove(),B.each(function(){var e=n.select(this),i=o.ensureSingle(e,"path","",function(t){t.style({"stroke-width":"1px"})}),s=o.ensureSingle(e,"text","",function(t){t.attr("data-notex",1)}),c=d.bgcolor||h.defaultLine,f=d.bordercolor||h.contrast(c),p=h.contrast(c);i.style({fill:c,stroke:f}),s.text(M).call(u.font,d.font.family||g,d.font.size||y,d.font.color||p).call(l.positionText,0,0).call(l.convertToTspans,r),e.attr("transform","");var v=s.node().getBoundingClientRect();if("x"===a){s.attr("text-anchor","middle").call(l.positionText,0,"top"===b.side?C-v.bottom-w-k:C-v.top+w+k);var m="top"===b.side?"-":"";i.attr("d","M0,0L"+w+","+m+w+"H"+(k+v.width/2)+"v"+m+(2*k+v.height)+"H-"+(k+v.width/2)+"V"+m+w+"H-"+w+"Z"),e.attr("transform","translate("+(b._offset+(x.x0+x.x1)/2)+","+(_._offset+("top"===b.side?0:_._length))+")")}else{s.attr("text-anchor","right"===_.side?"start":"end").call(l.positionText,("right"===_.side?1:-1)*(k+w),C-v.top-v.height/2);var T="right"===_.side?"":"-";i.attr("d","M0,0L"+T+w+","+w+"V"+(k+v.height/2)+"h"+T+(2*k+v.width)+"V-"+(k+v.height/2)+"H"+T+w+"V-"+w+"Z"),e.attr("transform","translate("+(b._offset+("right"===_.side?b._length:0))+","+(_._offset+(x.y0+x.y1)/2)+")")}t=t.filter(function(t){return void 0!==t.zLabelVal||(t[A]||"").split(" ")[0]===S})});var N=f.selectAll("g.hovertext").data(t,function(t){return[t.trace.index,t.index,t.x0,t.y0,t.name,t.attr,t.xa,t.ya||""].join(",")});return N.enter().append("g").classed("hovertext",!0).each(function(){var t=n.select(this);t.append("rect").call(h.fill,h.addOpacity(c,.8)),t.append("text").classed("name",!0),t.append("path").style("stroke-width","1px"),t.append("text").classed("nums",!0).call(u.font,g,y)}),N.exit().remove(),N.each(function(t){var e=n.select(this).attr("transform",""),f="",p="",d=t.bgcolor||t.color,v=h.combine(h.opacity(d)?d:h.defaultLine,c),x=h.combine(h.opacity(t.color)?t.color:h.defaultLine,c),b=t.borderColor||h.contrast(v);void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),f=L(t.name,t.nameLength)),void 0!==t.zLabel?(void 0!==t.xLabel&&(p+="x: "+t.xLabel+"<br>"),void 0!==t.yLabel&&(p+="y: "+t.yLabel+"<br>"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(p+=(p?"z: ":"")+t.zLabel)):z&&t[a+"Label"]===M?p=t[("x"===a?"y":"x")+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(p=t.yLabel):p=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(p+=(p?"<br>":"")+t.text),void 0!==t.extraText&&(p+=(p?"<br>":"")+t.extraText),""!==p||t.hovertemplate||(""===f&&e.remove(),p=f);var _=i._d3locale,A=t.hovertemplate||!1,S=t.hovertemplateLabels||t,E=t.eventData[0]||{};A&&(p=(p=o.hovertemplateString(A,S,_,E,t.trace._meta)).replace(T,function(e,r){return f=L(r,t.nameLength),""}));var I=e.select("text.nums").call(u.font,t.fontFamily||g,t.fontSize||y,t.fontColor||b).text(p).attr("data-notex",1).call(l.positionText,0,0).call(l.convertToTspans,r),D=e.select("text.name"),R=0,F=0;if(f&&f!==p){D.call(u.font,t.fontFamily||g,t.fontSize||y,x).text(f).attr("data-notex",1).call(l.positionText,0,0).call(l.convertToTspans,r);var B=D.node().getBoundingClientRect();R=B.width+2*k,F=B.height+2*k}else D.remove(),e.select("rect").remove();e.select("path").style({fill:v,stroke:b});var N,j,U=I.node().getBoundingClientRect(),V=t.xa._offset+(t.x0+t.x1)/2,q=t.ya._offset+(t.y0+t.y1)/2,H=Math.abs(t.x1-t.x0),G=Math.abs(t.y1-t.y0),Y=U.width+w+k+R;if(t.ty0=C-U.top,t.bx=U.width+2*k,t.by=Math.max(U.height+2*k,F),t.anchor="start",t.txwidth=U.width,t.tx2width=R,t.offset=0,s)t.pos=V,N=q+G/2+Y<=O,j=q-G/2-Y>=0,"top"!==t.idealAlign&&N||!j?N?(q+=G/2,t.anchor="start"):t.anchor="middle":(q-=G/2,t.anchor="end");else if(t.pos=q,N=V+H/2+Y<=P,j=V-H/2-Y>=0,"left"!==t.idealAlign&&N||!j)if(N)V+=H/2,t.anchor="start";else{t.anchor="middle";var W=Y/2,X=V+W-P,Z=V-W;X>0&&(V-=X),Z<0&&(V+=-Z)}else V-=H/2,t.anchor="end";I.attr("text-anchor",t.anchor),R&&D.attr("text-anchor",t.anchor),e.attr("transform","translate("+V+","+q+")"+(s?"rotate("+m+")":""))}),N}function M(t,e){t.each(function(t){var r=n.select(this);if(t.del)return r.remove();var i=r.select("text.nums"),a=t.anchor,o="end"===a?-1:1,s={start:1,end:-1,middle:0}[a],c=s*(w+k),h=c+s*(t.txwidth+k),f=0,p=t.offset;"middle"===a&&(c-=t.tx2width/2,h+=t.txwidth/2+k),e&&(p*=-_,f=t.offset*b),r.select("path").attr("d","middle"===a?"M-"+(t.bx/2+t.tx2width/2)+","+(p-t.by/2)+"h"+t.bx+"v"+t.by+"h-"+t.bx+"Z":"M0,0L"+(o*w+f)+","+(w+p)+"v"+(t.by/2-w)+"h"+o*t.bx+"v-"+t.by+"H"+(o*w+f)+"V"+(p-w)+"Z");var d=c+f,g=p+t.ty0-t.by/2+k,v=t.textAlign||"auto";"auto"!==v&&("left"===v&&"start"!==a?(i.attr("text-anchor","start"),d="middle"===a?-t.bx/2-t.tx2width/2+k:-t.bx-k):"right"===v&&"end"!==a&&(i.attr("text-anchor","end"),d="middle"===a?t.bx/2-t.tx2width/2-k:t.bx+k)),i.call(l.positionText,d,g),t.tx2width&&(r.select("text.name").call(l.positionText,h+s*k+f,p+t.ty0-t.by/2+k),r.select("rect").call(u.setRect,h+(s-1)*t.tx2width/2+f,p-t.by/2-1,t.tx2width,t.by+2))})}function S(t,e){var r=t.index,n=t.trace||{},a=t.cd[0],s=t.cd[r]||{};function l(t){return t||i(t)&&0===t}var c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u("hoverinfo","hi","hoverinfo"),u("bgcolor","hbg","hoverlabel.bgcolor"),u("borderColor","hbc","hoverlabel.bordercolor"),u("fontFamily","htf","hoverlabel.font.family"),u("fontSize","hts","hoverlabel.font.size"),u("fontColor","htc","hoverlabel.font.color"),u("nameLength","hnl","hoverlabel.namelength"),u("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:p.hoverLabelText(t.xa,t.xLabelVal),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:p.hoverLabelText(t.ya,t.yLabelVal),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var 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l={_fullLayout:r},c=["x","y"],u=0;u<2;u++){var h=c[u],f=i.coerceRef(t,e,l,h,"paper");if("paper"!==f)i.getFromId(l,f)._imgIndices.push(e._index);i.coercePosition(e,l,a,f,h,0)}return e}e.exports=function(t,e){a(t,e,{name:"images",handleItemDefaults:s})}},{"../../lib":719,"../../plots/array_container_defaults":763,"../../plots/cartesian/axes":767,"./attributes":637}],640:[function(t,e,r){"use strict";var n=t("d3"),i=t("../drawing"),a=t("../../plots/cartesian/axes"),o=t("../../constants/xmlns_namespaces");e.exports=function(t){var e,r,s=t._fullLayout,l=[],c={},u=[];for(r=0;r<s.images.length;r++){var h=s.images[r];if(h.visible)if("below"===h.layer&&"paper"!==h.xref&&"paper"!==h.yref){e=h.xref+h.yref;var f=s._plots[e];if(!f){u.push(h);continue}f.mainplot&&(e=f.mainplot.id),c[e]||(c[e]=[]),c[e].push(h)}else"above"===h.layer?l.push(h):u.push(h)}var p={x:{left:{sizing:"xMin",offset:0},center:{sizing:"xMid",offset:-.5},right:{sizing:"xMax",offset:-1}},y:{top:{sizing:"YMin",offset:0},middle:{sizing:"YMid",offset:-.5},bottom:{sizing:"YMax",offset:-1}}};function d(e){var r=n.select(this);if(!this.img||this.img.src!==e.source){r.attr("xmlns",o.svg);var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute("crossOrigin","anonymous"),n.onerror=i,n.onload=function(){var e=document.createElement("canvas");e.width=this.width,e.height=this.height,e.getContext("2d").drawImage(this,0,0);var n=e.toDataURL("image/png");r.attr("xlink:href",n),t()},r.on("error",i),n.src=e.source}.bind(this));t._promises.push(i)}}function g(e){var 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n=t("../../plots/font_attributes"),i=t("../../plots/pad_attributes"),a=t("../../lib/extend").extendDeepAll,o=t("../../plot_api/edit_types").overrideAll,s=t("../../plots/animation_attributes"),l=t("../../plot_api/plot_template").templatedArray,c=t("./constants"),u=l("step",{visible:{valType:"boolean",dflt:!0},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string"},value:{valType:"string"},execute:{valType:"boolean",dflt:!0}});e.exports=o(l("slider",{visible:{valType:"boolean",dflt:!0},active:{valType:"number",min:0,dflt:0},steps:u,lenmode:{valType:"enumerated",values:["fraction","pixels"],dflt:"fraction"},len:{valType:"number",min:0,dflt:1},x:{valType:"number",min:-2,max:3,dflt:0},pad: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")},{"../../lib/extend":710,"../../plot_api/edit_types":750,"../../plot_api/plot_template":757,"../../plots/animation_attributes":762,"../../plots/font_attributes":793,"../../plots/pad_attributes":827,"./constants":677}],677:[function(t,e,r){"use 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k={y:e.y,b:h.height*d[w],t:h.height*p[w]};"fraction"===e.lenmode?(k.l=0,k.xl=e.x-e.len*p[_],k.r=0,k.xr=e.x+e.len*d[_]):(k.x=e.x,k.l=h.outerLength*p[_],k.r=h.outerLength*d[_]),i.autoMargin(t,g(e),k)}function y(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case"right":n=a.inputAreaLength-u.currentValueInset-a.currentValueMaxWidth,i="left";break;case"center":n=.5*a.inputAreaLength,i="middle";break;default:n=u.currentValueInset,i="left"}var c=s.ensureSingle(t,"text",u.labelClass,function(t){t.classed("user-select-none",!0).attr({"text-anchor":i,"data-notex":1})}),h=e.currentvalue.prefix?e.currentvalue.prefix:"";if("string"==typeof r)h+=r;else{var p=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(p=s.templateString(p,d)),h+=p}e.currentvalue.suffix&&(h+=e.currentvalue.suffix),c.call(o.font,e.currentvalue.font).text(h).call(l.convertToTspans,e._gd);var g=l.lineCount(c),v=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*f;return 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f=t("./dates");l.dateTime2ms=f.dateTime2ms,l.isDateTime=f.isDateTime,l.ms2DateTime=f.ms2DateTime,l.ms2DateTimeLocal=f.ms2DateTimeLocal,l.cleanDate=f.cleanDate,l.isJSDate=f.isJSDate,l.formatDate=f.formatDate,l.incrementMonth=f.incrementMonth,l.dateTick0=f.dateTick0,l.dfltRange=f.dfltRange,l.findExactDates=f.findExactDates,l.MIN_MS=f.MIN_MS,l.MAX_MS=f.MAX_MS;var p=t("./search");l.findBin=p.findBin,l.sorterAsc=p.sorterAsc,l.sorterDes=p.sorterDes,l.distinctVals=p.distinctVals,l.roundUp=p.roundUp,l.sort=p.sort,l.findIndexOfMin=p.findIndexOfMin;var d=t("./stats");l.aggNums=d.aggNums,l.len=d.len,l.mean=d.mean,l.median=d.median,l.midRange=d.midRange,l.variance=d.variance,l.stdev=d.stdev,l.interp=d.interp;var g=t("./matrix");l.init2dArray=g.init2dArray,l.transposeRagged=g.transposeRagged,l.dot=g.dot,l.translationMatrix=g.translationMatrix,l.rotationMatrix=g.rotationMatrix,l.rotationXYMatrix=g.rotationXYMatrix,l.apply2DTransform=g.apply2DTransform,l.apply2DTransform2=g.apply2DTransform2;var 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f=!1;l&&h!==(0|h)&&(f=!0),o.push({minor:f,value:h})}rt(t)&&360===Math.abs(e[1]-e[0])&&o.pop(),t._tmax=(o[o.length-1]||{}).value,t._prevDateHead="",t._inCalcTicks=!0;for(var p=new Array(o.length),d=0;d<o.length;d++)p[d]=A.tickText(t,o[d].value,!1,o[d].minor);return t._inCalcTicks=!1,p};var O=[2,5,10],z=[1,2,3,6,12],I=[1,2,5,10,15,30],D=[1,2,3,7,14],R=[-.046,0,.301,.477,.602,.699,.778,.845,.903,.954,1],F=[-.301,0,.301,.699,1],B=[15,30,45,90,180];function N(t,e,r){return e*s.roundUp(t/e,r)}function j(t){var e=t.dtick;if(t._tickexponent=0,i(e)||"string"==typeof e||(e=1),"category"!==t.type&&"multicategory"!==t.type||(t._tickround=null),"date"===t.type){var r=t.r2l(t.tick0),n=t.l2r(r).replace(/(^-|i)/g,""),a=n.length;if("M"===String(e).charAt(0))a>10||"01-01"!==n.substr(5)?t._tickround="d":t._tickround=+e.substr(1)%12==0?"y":"m";else if(e>=m&&a<=10||e>=15*m)t._tickround="d";else if(e>=x&&a<=16||e>=y)t._tickround="M";else if(e>=b&&a<=19||e>=x)t._tickround="S";else{var 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m=n/(h[2]-h[0])*(l[2]-l[0])+l[0],y=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=m,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=m,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(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(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(v(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(v(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}},{"../cartesian/constants":773,"has-passive-events":411,"mouse-change":435,"mouse-event-offset":436,"mouse-wheel":438}],804:[function(t,e,r){"use strict";var n=t("../cartesian/axes"),i=t("../../lib/str2rgbarray");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=e.title.font.size,n=e.showticklabels;return"xaxis"===t?"top"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:"yaxis"===t?"right"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return"outside"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return"inside"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{"../../lib/str2rgbarray":742,"../cartesian/axes":767}],805:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("./scene2d"),a=t("../layout_attributes"),o=t("../../constants/xmlns_namespaces"),s=t("../cartesian/constants"),l=t("../cartesian"),c=t("../../components/fx/layout_attributes"),u=t("../get_data").getSubplotData;r.name="gl2d",r.attr=["xaxis","yaxis"],r.idRoot=["x","y"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t("../cartesian/attributes"),r.supplyLayoutDefaults=function(t,e,r){e._has("cartesian")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,"plot","from-root"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},"plot","nested"),r.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)}},r.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];if(s._scene2d)0===u(t,"gl2d",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.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()}},r.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)}}},{"../../components/fx/layout_attributes":633,"../../constants/xmlns_namespaces":696,"../../plot_api/edit_types":750,"../cartesian":778,"../cartesian/attributes":765,"../cartesian/constants":773,"../get_data":802,"../layout_attributes":819,"./scene2d":806}],806:[function(t,e,r){"use strict";var n,i,a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("gl-plot2d"),c=t("gl-spikes2d"),u=t("gl-select-box"),h=t("webgl-context"),f=t("./convert"),p=t("./camera"),d=t("../../lib/show_no_webgl_msg"),g=t("../cartesian/constraints"),v=g.enforce,m=g.clean,y=t("../cartesian/autorange").doAutoRange,x=["xaxis","yaxis"],b=t("../cartesian/constants").SUBPLOT_PATTERN;function _(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=f(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=_;var w=_.prototype;w.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),r.className+=" user-select-none";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})},w.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"),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},w.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},w.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},w.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(b),r="xaxis"+e[1],n="yaxis"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},w.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)},w.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())},w.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)}},w.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}},w.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:this.graphDiv._fullLayout._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis}};m(s,this.xaxis),m(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[x[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();v(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},w.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])]},w.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])]},w.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})},w.updateFx=function(t){"lasso"===t||"select"===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},w.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]})},w.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 g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.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 v=this.fullData[g.trace.index]||{},m=g.pointIndex,y=s.castHoverinfo(v,i,m);if(y&&"all"!==y){var x=y.split("+");-1===x.indexOf("x")&&(g.traceCoord[0]=void 0),-1===x.indexOf("y")&&(g.traceCoord[1]=void 0),-1===x.indexOf("z")&&(g.traceCoord[2]=void 0),-1===x.indexOf("text")&&(g.textLabel=void 0),-1===x.indexOf("name")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter("xaxis",g.traceCoord[0]),yLabel:this.hoverFormatter("yaxis",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(v,m,"bgcolor")||g.color,borderColor:s.castHoverOption(v,m,"bordercolor"),fontFamily:s.castHoverOption(v,m,"font.family"),fontSize:s.castHoverOption(v,m,"font.size"),fontColor:s.castHoverOption(v,m,"font.color"),nameLength:s.castHoverOption(v,m,"namelength"),textAlign:s.castHoverOption(v,m,"align")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},w.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit("plotly_unhover"),s.loneUnhover(this.svgContainer))},w.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),"hover").text}}},{"../../components/fx":632,"../../lib/show_no_webgl_msg":740,"../../plots/cartesian/axes":767,"../../registry":847,"../cartesian/autorange":766,"../cartesian/constants":773,"../cartesian/constraints":774,"./camera":803,"./convert":804,"gl-plot2d":287,"gl-select-box":299,"gl-spikes2d":308,"webgl-context":556}],807:[function(t,e,r){"use strict";var n=t("../../plot_api/edit_types").overrideAll,i=t("../../components/fx/layout_attributes"),a=t("./scene"),o=t("../get_data").getSubplotData,s=t("../../lib"),l=t("../../constants/xmlns_namespaces");r.name="gl3d",r.attr="scene",r.idRoot="scene",r.idRegex=r.attrRegex=s.counterRegex("scene"),r.attributes=t("./layout/attributes"),r.layoutAttributes=t("./layout/layout_attributes"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},"plot","nested"),r.supplyLayoutDefaults=t("./layout/defaults"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,"gl3d",s),c=e[s],u=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(".gl-container"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),h.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],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())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:"none"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return"1"===e&&(e=""),"scene"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{"../../components/fx/layout_attributes":633,"../../constants/xmlns_namespaces":696,"../../lib":719,"../../plot_api/edit_types":750,"../get_data":802,"./layout/attributes":808,"./layout/defaults":812,"./layout/layout_attributes":813,"./scene":817}],808:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],809:[function(t,e,r){"use strict";var n=t("../../../components/color"),i=t("../../cartesian/layout_attributes"),a=t("../../../lib/extend").extendFlat,o=t("../../../plot_api/edit_types").overrideAll;e.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:i.title,type:a({},i.type,{values:["-","linear","log","date","category"]}),autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}},{valType:"any",editType:"plot",impliedEdits:{"^autorange":!1}}],anim:!1}),tickmode:i.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,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,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")},{"../../../components/color":593,"../../../lib/extend":710,"../../../plot_api/edit_types":750,"../../cartesian/layout_attributes":779}],810:[function(t,e,r){"use strict";var n=t("tinycolor2").mix,i=t("../../../lib"),a=t("../../../plot_api/plot_template"),o=t("./axis_attributes"),s=t("../../cartesian/type_defaults"),l=t("../../cartesian/axis_defaults"),c=["xaxis","yaxis","zaxis"];e.exports=function(t,e,r){var u,h;function f(t,e){return 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,noTickson:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f("gridcolor",n(h.color,r.bgColor,13600/187).toRgbString()),f("title.text",d[0]),h.setScale=i.noop,f("showspikes")&&(f("spikesides"),f("spikethickness"),f("spikecolor",h.color)),f("showaxeslabels"),f("showbackground")&&f("backgroundcolor")}}},{"../../../lib":719,"../../../plot_api/plot_template":757,"../../cartesian/axis_defaults":769,"../../cartesian/type_defaults":790,"./axis_attributes":809,tinycolor2:537}],811:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=["sans-serif","sans-serif","sans-serif"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=["x","y","z"],this.labelEnable=[!0,!0,!0],this.labelFont=["Open Sans","Open Sans","Open Sans"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,"font"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),"showline"in o&&(this.lineEnable[r]=o.showline),"linecolor"in o&&(this.lineColor[r]=n(o.linecolor)),"linewidth"in o&&(this.lineWidth[r]=o.linewidth),"showgrid"in o&&(this.gridEnable[r]=o.showgrid),"gridcolor"in o&&(this.gridColor[r]=n(o.gridcolor)),"gridwidth"in o&&(this.gridWidth[r]=o.gridwidth),"log"===o.type?this.zeroEnable[r]=!1:"zeroline"in o&&(this.zeroEnable[r]=o.zeroline),"zerolinecolor"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),"zerolinewidth"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),"ticks"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,"ticklen"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),"tickcolor"in o&&(this.lineTickColor[r]=n(o.tickcolor)),"tickwidth"in o&&(this.lineTickWidth[r]=o.tickwidth),"tickangle"in o&&(this.tickAngle[r]="auto"===o.tickangle?-3600:Math.PI*-o.tickangle/180),"showticklabels"in o&&(this.tickEnable[r]=o.showticklabels),"tickfont"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),"mirror"in o?-1!==["ticks","all","allticks"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,"showbackground"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{"../../../lib":719,"../../../lib/str2rgbarray":742}],812:[function(t,e,r){"use strict";var n=t("../../../lib"),i=t("../../../components/color"),a=t("../../../registry"),o=t("../../subplot_defaults"),s=t("./axis_defaults"),l=t("./layout_attributes"),c=t("../../get_data").getSubplotData,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 g=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:g,bgColor:l,calendar:n.calendar,fullLayout:n.fullLayout}),a.getComponentMethod("annotations3d","handleDefaults")(t,e,n);var v=n.getDfltFromLayout("dragmode");if(!1!==v&&!v)if(v="orbit",t.camera&&t.camera.up){var m=t.camera.up.x,y=t.camera.up.y,x=t.camera.up.z;0!==x&&(m&&y&&x?x/Math.sqrt(m*m+y*y+x*x)>.999&&(v="turntable"):v="turntable")}else v="turntable";r("dragmode",v),r("hovermode",n.getDfltFromLayout("hovermode"))}e.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},paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{"../../../components/color":593,"../../../lib":719,"../../../registry":847,"../../get_data":802,"../../subplot_defaults":842,"./axis_defaults":810,"./layout_attributes":813}],813:[function(t,e,r){"use strict";var n=t("./axis_attributes"),i=t("../../domain").attributes,a=t("../../../lib/extend").extendFlat,o=t("../../../lib").counterRegex;function s(t,e,r){return{x:{valType:"number",dflt:t,editType:"camera"},y:{valType:"number",dflt:e,editType:"camera"},z:{valType:"number",dflt:r,editType:"camera"},editType:"camera"}}e.exports={_arrayAttrRegexps:[o("scene",".annotations",!0)],bgcolor:{valType:"color",dflt:"rgba(0,0,0,0)",editType:"plot"},camera:{up: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"}}}},{"../../../lib":719,"../../../lib/extend":710,"../../domain":792,"./axis_attributes":809}],814:[function(t,e,r){"use strict";var n=t("../../../lib/str2rgbarray"),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)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{"../../../lib/str2rgbarray":742}],815:[function(t,e,r){"use strict";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[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),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],"date"===u.type&&(p[d].text=p[d].text.replace(/\<br\>/g," "));l[c]=p,u.tickmode=h}}e.ticks=l;for(var c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(var 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=t("../../cartesian/axes"),i=t("../../../lib"),a=["xaxis","yaxis","zaxis"],o=[0,0,0]},{"../../../lib":719,"../../cartesian/axes":767}],816:[function(t,e,r){"use strict";function n(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}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],817:[function(t,e,r){"use strict";var n,i,a=t("gl-plot3d").createCamera,o=t("gl-plot3d").createScene,s=t("webgl-context"),l=t("has-passive-events"),c=t("../../registry"),u=t("../../lib"),h=t("../../plots/cartesian/axes"),f=t("../../components/fx"),p=t("../../lib/str2rgbarray"),d=t("../../lib/show_no_webgl_msg"),g=t("./project"),v=t("./layout/convert"),m=t("./layout/spikes"),y=t("./layout/tick_marks");function x(t,e,r,a){if(t.initializeGLCamera(),!function(t,e,r,a,l){var c={canvas:a,gl:l,container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:e,pixelRatio:r};if(t.staticMode){if(!(i||(n=document.createElement("canvas"),i=s({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error("error creating static canvas/context for image server");c.pixelRatio=t.pixelRatio,c.gl=i,c.canvas=n}try{t.glplot=o(c)}catch(t){return!1}return!0}(t,t.camera,e,r,a))return d(t);var c=t.graphDiv,p=function(t){if(!1!==t.fullSceneLayout.dragmode){var e={};e[t.id+".camera"]=T(t.camera),t.saveCamera(c.layout),t.graphDiv.emit("plotly_relayout",e)}};return t.glplot.canvas.addEventListener("mouseup",function(){p(t)}),t.glplot.canvas.addEventListener("wheel",function(){c._context._scrollZoom.gl3d&&p(t)},!!l&&{passive:!1}),t.glplot.canvas.addEventListener("mousemove",function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e={};e[t.id+".camera"]=T(t.camera),t.graphDiv.emit("plotly_relayouting",e)}}),t.staticMode||t.glplot.canvas.addEventListener("webglcontextlost",function(e){c&&c.emit&&c.emit("plotly_webglcontextlost",{event:e,layer:t.id})},!1),t.glplot.camera=t.camera,t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(t){var e,r=t.graphDiv,n=t.svgContainer,i=t.container.getBoundingClientRect(),a=i.width,o=i.height;n.setAttributeNS(null,"viewBox","0 0 "+a+" "+o),n.setAttributeNS(null,"width",a),n.setAttributeNS(null,"height",o),y(t),t.glplot.axes.update(t.axesOptions);for(var s,l=Object.keys(t.traces),c=null,p=t.glplot.selection,d=0;d<l.length;++d)"skip"!==(e=t.traces[l[d]]).data.hoverinfo&&e.handlePick(p)&&(c=e),e.setContourLevels&&e.setContourLevels();function v(e,r){var n=t.fullSceneLayout[e];return h.tickText(n,n.d2l(r),"hover").text}if(null!==c){var m=g(t.glplot.cameraParams,p.dataCoordinate);e=c.data;var x,b=r._fullData[e.index],_=p.index,w={xLabel:v("xaxis",p.traceCoordinate[0]),yLabel:v("yaxis",p.traceCoordinate[1]),zLabel:v("zaxis",p.traceCoordinate[2])},k=f.castHoverinfo(b,t.fullLayout,_),T=(k||"").split("+"),A=k&&"all"===k;b.hovertemplate||A||(-1===T.indexOf("x")&&(w.xLabel=void 0),-1===T.indexOf("y")&&(w.yLabel=void 0),-1===T.indexOf("z")&&(w.zLabel=void 0),-1===T.indexOf("text")&&(p.textLabel=void 0),-1===T.indexOf("name")&&(c.name=void 0));var M=[];"cone"===e.type||"streamtube"===e.type?(w.uLabel=v("xaxis",p.traceCoordinate[3]),(A||-1!==T.indexOf("u"))&&M.push("u: "+w.uLabel),w.vLabel=v("yaxis",p.traceCoordinate[4]),(A||-1!==T.indexOf("v"))&&M.push("v: "+w.vLabel),w.wLabel=v("zaxis",p.traceCoordinate[5]),(A||-1!==T.indexOf("w"))&&M.push("w: "+w.wLabel),w.normLabel=p.traceCoordinate[6].toPrecision(3),(A||-1!==T.indexOf("norm"))&&M.push("norm: "+w.normLabel),"streamtube"===e.type&&(w.divergenceLabel=p.traceCoordinate[7].toPrecision(3),(A||-1!==T.indexOf("divergence"))&&M.push("divergence: "+w.divergenceLabel)),p.textLabel&&M.push(p.textLabel),x=M.join("<br>")):"isosurface"===e.type||"volume"===e.type?(w.valueLabel=h.tickText(t.mockAxis,t.mockAxis.d2l(p.traceCoordinate[3]),"hover").text,M.push("value: "+w.valueLabel),p.textLabel&&M.push(p.textLabel),x=M.join("<br>")):x=p.textLabel;var S={x:p.traceCoordinate[0],y:p.traceCoordinate[1],z:p.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:_};f.appendArrayPointValue(S,b,_),e._module.eventData&&(S=b._module.eventData(S,p,b,{},_));var E={points:[S]};t.fullSceneLayout.hovermode&&f.loneHover({trace:b,x:(.5+.5*m[0]/m[3])*a,y:(.5-.5*m[1]/m[3])*o,xLabel:w.xLabel,yLabel:w.yLabel,zLabel:w.zLabel,text:x,name:c.name,color:f.castHoverOption(b,_,"bgcolor")||c.color,borderColor:f.castHoverOption(b,_,"bordercolor"),fontFamily:f.castHoverOption(b,_,"font.family"),fontSize:f.castHoverOption(b,_,"font.size"),fontColor:f.castHoverOption(b,_,"font.color"),nameLength:f.castHoverOption(b,_,"namelength"),textAlign:f.castHoverOption(b,_,"align"),hovertemplate:u.castOption(b,_,"hovertemplate"),hovertemplateLabels:u.extendFlat({},S,w),eventData:[S]},{container:n,gd:r}),p.buttons&&p.distance<5?r.emit("plotly_click",E):r.emit("plotly_hover",E),s=E}else f.loneUnhover(n),r.emit("plotly_unhover",s);t.drawAnnotations(t)}.bind(null,t),t.traces={},t.make4thDimension(),!0}function b(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=m(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=c.getComponentMethod("annotations3d","convert"),this.drawAnnotations=c.getComponentMethod("annotations3d","draw"),x(this,this.pixelRatio)}var _=b.prototype;_.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e="orthographic"===t.projection.type;this.camera=a(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:"orbit"})},_.recoverContext=function(){var t=this,e=this.glplot.gl,r=this.glplot.canvas,n=this.glplot.camera,i=this.glplot.pixelRatio;this.glplot.dispose(),requestAnimationFrame(function a(){e.isContextLost()?requestAnimationFrame(a):x(t,n,i,r)?t.plot.apply(t,t.plotArgs):u.error("Catastrophic and unrecoverable WebGL error. Context lost.")})};var w=["xaxis","yaxis","zaxis"];function k(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=w[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+"calendar"],h=e["_"+o+"length"];if(u.isArrayOrTypedArray(l))for(var f,p=0;p<(h||l.length);p++)if(u.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],h-1)}}function T(t){return{up:{x:t.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"}}}_.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];c.bgcolor?this.glplot.clearColor=p(c.bgcolor):this.glplot.clearColor=[0,0,0,0],this.glplot.snapToData=!0,this.fullLayout=e,this.fullSceneLayout=c,this.glplotLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setCamera(c.camera),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.update({}),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&k(this,n,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=w[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,h);var f=[1,1,1];for(o=0;o<3;++o)h[1][o]===h[0][o]?f[o]=1:f[o]=1/(h[1][o]-h[0][o]);for(this.dataScale=f,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var d=Object.keys(this.traces);t:for(a=0;a<d.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===d[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[d[a]]).dispose(),delete this.traces[d[a]]}this.glplot.objects.sort(function(t,e){return t._trace.data.index-e._trace.data.index});var g=[[0,0,0],[0,0,0]],v=[],m={};for(a=0;a<3;++a){if((l=(s=c[w[a]]).type)in m?(m[l].acc*=f[a],m[l].count+=1):m[l]={acc:f[a],count:1},s.autorange){g[0][a]=1/0,g[1][a]=-1/0;var y=this.glplot.objects,x=this.fullSceneLayout.annotations||[],b=s._name.charAt(0);for(o=0;o<y.length;o++){var _=y[o],T=_.bounds,A=_._trace.data._pad||0;"ErrorBars"===_.constructor.name&&s._lowerLogErrorBound?g[0][a]=Math.min(g[0][a],s._lowerLogErrorBound):g[0][a]=Math.min(g[0][a],T[0][a]/f[a]-A),g[1][a]=Math.max(g[1][a],T[1][a]/f[a]+A)}for(o=0;o<x.length;o++){var M=x[o];if(M.visible){var S=s.r2l(M[b]);g[0][a]=Math.min(g[0][a],S),g[1][a]=Math.max(g[1][a],S)}}if("rangemode"in s&&"tozero"===s.rangemode&&(g[0][a]=Math.min(g[0][a],0),g[1][a]=Math.max(g[1][a],0)),g[0][a]>g[1][a])g[0][a]=-1,g[1][a]=1;else{var E=g[1][a]-g[0][a];g[0][a]-=E/32,g[1][a]+=E/32}if("reversed"===s.autorange){var C=g[0][a];g[0][a]=g[1][a],g[1][a]=C}}else{var L=s.range;g[0][a]=s.r2l(L[0]),g[1][a]=s.r2l(L[1])}g[0][a]===g[1][a]&&(g[0][a]-=1,g[1][a]+=1),v[a]=g[1][a]-g[0][a],this.glplot.bounds[0][a]=g[0][a]*f[a],this.glplot.bounds[1][a]=g[1][a]*f[a]}var P=[1,1,1];for(a=0;a<3;++a){var O=m[l=(s=c[w[a]]).type];P[a]=Math.pow(O.acc,1/O.count)/f[a]}var z;if("auto"===c.aspectmode)z=Math.max.apply(null,P)/Math.min.apply(null,P)<=4?P:[1,1,1];else if("cube"===c.aspectmode)z=[1,1,1];else if("data"===c.aspectmode)z=P;else{if("manual"!==c.aspectmode)throw new Error("scene.js aspectRatio was not one of the enumerated types");var I=c.aspectratio;z=[I.x,I.y,I.z]}c.aspectratio.x=u.aspectratio.x=z[0],c.aspectratio.y=u.aspectratio.y=z[1],c.aspectratio.z=u.aspectratio.z=z[2],this.glplot.aspect=z;var D=c.domain||null,R=e._size||null;if(D&&R){var F=this.container.style;F.position="absolute",F.left=R.l+D.x[0]*R.w+"px",F.top=R.t+(1-D.y[1])*R.h+"px",F.width=R.w*(D.x[1]-D.x[0])+"px",F.height=R.h*(D.y[1]-D.y[0])+"px"}this.glplot.redraw()}},_.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener("wheel",this.camera.wheelListener),this.camera=this.glplot.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},_.getCamera=function(){return this.glplot.camera.view.recalcMatrix(this.camera.view.lastT()),T(this.glplot.camera)},_.setCamera=function(t){var e;this.glplot.camera.lookAt.apply(this,[[(e=t).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]]);var r="orthographic"===t.projection.type;if(r!==this.glplot.camera._ortho){this.glplot.redraw();var n=this.glplot.pixelRatio,i=this.glplot.clearColor;this.glplot.gl.clearColor(i[0],i[1],i[2],i[3]),this.glplot.gl.clear(this.glplot.gl.DEPTH_BUFFER_BIT|this.glplot.gl.COLOR_BUFFER_BIT),this.glplot.dispose(),x(this,n),this.glplot.camera._ortho=r}},_.saveCamera=function(t){var e=this.fullLayout,r=this.getCamera(),n=u.nestedProperty(t,this.id+".camera"),i=n.get(),a=!1;function o(t,e,r,n){var i=["up","center","eye"],a=["x","y","z"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}if(void 0===i)a=!0;else{for(var s=0;s<3;s++)for(var l=0;l<3;l++)if(!o(r,i,s,l)){a=!0;break}(!i.projection||r.projection&&r.projection.type!==i.projection.type)&&(a=!0)}if(a){var h={};h[this.id+".camera"]=i,c.call("_storeDirectGUIEdit",t,e._preGUI,h),n.set(r),u.nestedProperty(e,this.id+".camera").set(r)}return a},_.updateFx=function(t,e){var r=this.camera;if(r)if("orbit"===t)r.mode="orbit",r.keyBindingMode="rotate";else if("turntable"===t){r.up=[0,0,1],r.mode="turntable",r.keyBindingMode="rotate";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var h=this.id+".camera.up",f={x:0,y:0,z:1},p={};p[h]=f;var d=n.layout;c.call("_storeDirectGUIEdit",d,i._preGUI,p),a.up=f,u.nestedProperty(d,h).set(f)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},_.toImage=function(t){t||(t="png"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;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"),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.staticMode&&this.container.removeChild(n),f},_.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[w[t]];h.setConvert(e,this.fullLayout),e.setScale=u.noop}},_.make4thDimension=function(){var 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e=this.map,r=t[this.id];e.setCenter(x(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},g.resolveOnRender=function(t){var e=this.map;e.on("render",function r(){e.loaded()&&(e.off("render",r),setTimeout(t,0))})},g.rejectOnError=function(t){var e=this.map;function r(){t(new Error(f.mapOnErrorMsg))}e.once("error",r),e.once("style.error",r),e.once("source.error",r),e.once("tile.error",r),e.once("layer.error",r)},g.createFramework=function(t){var e=this,r=e.div=document.createElement("div");r.id=e.uid,r.style.position="absolute",e.container.appendChild(r),e.xaxis={_id:"x",c2p:function(t){return e.project(t).x}},e.yaxis={_id:"y",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},l.setConvert(e.mockAxis,t)},g.initFx=function(t,e){var r=this,n=r.gd,i=r.map,o=!1;function l(){a.loneUnhover(e._hoverlayer)}function c(){var t=r.getView();n.emit("plotly_relayouting",r.getViewEdits(t))}i.on("moveend",function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||o){var i=e[r.id];s.call("_storeDirectGUIEdit",n.layout,e._preGUI,r.getViewEdits(i));var a=r.getView();i._input.center=i.center=a.center,i._input.zoom=i.zoom=a.zoom,i._input.bearing=i.bearing=a.bearing,i._input.pitch=i.pitch=a.pitch,n.emit("plotly_relayout",r.getViewEdits(a))}o=!1,e._rehover&&e._rehover()}}),i.on("wheel",function(){o=!0}),i.on("mousemove",function(t){var e=r.div.getBoundingClientRect();t.clientX=t.point.x+e.left,t.clientY=t.point.y+e.top,t.target.getBoundingClientRect=function(){return e},r.xaxis.p2c=function(){return t.lngLat.lng},r.yaxis.p2c=function(){return 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e=t.editType;return{t:{valType:"number",dflt:0,editType:e},r:{valType:"number",dflt:0,editType:e},b:{valType:"number",dflt:0,editType:e},l:{valType:"number",dflt:0,editType:e},editType:e}}},{}],828:[function(t,e,r){"use strict";var n=t("d3"),i=t("fast-isnumeric"),a=t("../registry"),o=t("../plot_api/plot_schema"),s=t("../plot_api/plot_template"),l=t("../lib"),c=t("../components/color"),u=t("../constants/numerical").BADNUM,h=t("./cartesian/axis_ids"),f=t("./animation_attributes"),p=t("./frame_attributes"),d=l.relinkPrivateKeys,g=l._,v=e.exports={};l.extendFlat(v,a),v.attributes=t("./attributes"),v.attributes.type.values=v.allTypes,v.fontAttrs=t("./font_attributes"),v.layoutAttributes=t("./layout_attributes"),v.fontWeight="normal";var m=v.transformsRegistry,y=t("./command");v.executeAPICommand=y.executeAPICommand,v.computeAPICommandBindings=y.computeAPICommandBindings,v.manageCommandObserver=y.manageCommandObserver,v.hasSimpleAPICommandBindings=y.hasSimpleAPICommandBindings,v.redrawText=function(t){var e=(t=l.getGraphDiv(t))._fullLayout||{};if(!(!(e._has&&e._has("polar"))&&t.data&&t.data[0]&&t.data[0].r))return new Promise(function(e){setTimeout(function(){a.getComponentMethod("annotations","draw")(t),a.getComponentMethod("legend","draw")(t),a.getComponentMethod("colorbar","draw")(t),e(v.previousPromises(t))},300)})},v.resize=function(t){return t=l.getGraphDiv(t),new Promise(function(e,r){t&&!l.isHidden(t)||r(new Error("Resize must be passed a displayed plot div element.")),t._redrawTimer&&clearTimeout(t._redrawTimer),t._redrawTimer=setTimeout(function(){if(!t.layout||t.layout.width&&t.layout.height||l.isHidden(t))e(t);else{delete t.layout.width,delete t.layout.height;var 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o.PolyChart()},o.DotPlot.defaultConfig=function(){return{geometryConfig:{geometryType:"dot",dotType:"circle"}}},o.LinePlot=function(){return o.PolyChart()},o.LinePlot.defaultConfig=function(){return{geometryConfig:{geometryType:"line"}}},o.Legend=function(){var t=o.Legend.defaultConfig(),e=n.dispatch("hover");function r(){var e=t.legendConfig,a=t.data.map(function(t,r){return[].concat(t).map(function(t,n){var a=i({},e.elements[r]);return a.name=t,a.color=[].concat(e.elements[r].color)[n],a})}),o=n.merge(a);o=o.filter(function(t,r){return e.elements[r]&&(e.elements[r].visibleInLegend||"undefined"==typeof e.elements[r].visibleInLegend)}),e.reverseOrder&&(o=o.reverse());var s=e.container;("string"==typeof s||s.nodeName)&&(s=n.select(s));var l=o.map(function(t,e){return t.color}),c=e.fontSize,u=null==e.isContinuous?"number"==typeof 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n.geometry):("scatter"===n.type?"lines"===n.mode?n.geometry="LinePlot":"markers"===n.mode?n.geometry="DotPlot":"lines+markers"===n.mode&&(n.geometry="LinePlot",n.dotVisible=!0):"area"===n.type?n.geometry="AreaChart":"bar"===n.type&&(n.geometry="BarChart"),delete n.mode,delete n.type),n}),!e&&t.layout&&"stack"===t.layout.barmode)){var a=o.util.duplicates(r.data.map(function(t,e){return t.geometry}));r.data.forEach(function(t,e){var n=a.indexOf(t.geometry);-1!=n&&(r.data[e].groupId=n)})}if(t.layout){var s=i({},t.layout);if([[s,["plot_bgcolor"],["backgroundColor"]],[s,["showlegend"],["showLegend"]],[s,["radialaxis"],["radialAxis"]],[s,["angularaxis"],["angularAxis"]],[s.angularaxis,["showline"],["gridLinesVisible"]],[s.angularaxis,["showticklabels"],["labelsVisible"]],[s.angularaxis,["nticks"],["ticksCount"]],[s.angularaxis,["tickorientation"],["tickOrientation"]],[s.angularaxis,["ticksuffix"],["ticksSuffix"]],[s.angularaxis,["range"],["domain"]],[s.angularaxis,["endpadding"],["endPadding"]],[s.radialaxis,["showline"],["gridLinesVisible"]],[s.radialaxis,["tickorientation"],["tickOrientation"]],[s.radialaxis,["ticksuffix"],["ticksSuffix"]],[s.radialaxis,["range"],["domain"]],[s.angularAxis,["showline"],["gridLinesVisible"]],[s.angularAxis,["showticklabels"],["labelsVisible"]],[s.angularAxis,["nticks"],["ticksCount"]],[s.angularAxis,["tickorientation"],["tickOrientation"]],[s.angularAxis,["ticksuffix"],["ticksSuffix"]],[s.angularAxis,["range"],["domain"]],[s.angularAxis,["endpadding"],["endPadding"]],[s.radialAxis,["showline"],["gridLinesVisible"]],[s.radialAxis,["tickorientation"],["tickOrientation"]],[s.radialAxis,["ticksuffix"],["ticksSuffix"]],[s.radialAxis,["range"],["domain"]],[s.font,["outlinecolor"],["outlineColor"]],[s.legend,["traceorder"],["reverseOrder"]],[s,["labeloffset"],["labelOffset"]],[s,["defaultcolorrange"],["defaultColorRange"]]].forEach(function(t,r){o.util.translator.apply(null,t.concat(e))}),e?("undefined"!=typeof s.tickLength&&(s.angularaxis.ticklen=s.tickLength,delete s.tickLength),s.tickColor&&(s.angularaxis.tickcolor=s.tickColor,delete s.tickColor)):(s.angularAxis&&"undefined"!=typeof s.angularAxis.ticklen&&(s.tickLength=s.angularAxis.ticklen),s.angularAxis&&"undefined"!=typeof s.angularAxis.tickcolor&&(s.tickColor=s.angularAxis.tickcolor)),s.legend&&"boolean"!=typeof s.legend.reverseOrder&&(s.legend.reverseOrder="normal"!=s.legend.reverseOrder),s.legend&&"boolean"==typeof s.legend.traceorder&&(s.legend.traceorder=s.legend.traceorder?"reversed":"normal",delete s.legend.reverseOrder),s.margin&&"undefined"!=typeof s.margin.t){var l=["t","r","b","l","pad"],c=["top","right","bottom","left","pad"],u={};n.entries(s.margin).forEach(function(t,e){u[c[l.indexOf(t.key)]]=t.value}),s.margin=u}e&&(delete s.needsEndSpacing,delete s.minorTickColor,delete s.minorTicks,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksCount,delete s.angularaxis.ticksStep,delete s.angularaxis.rewriteTicks,delete s.angularaxis.nticks,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksCount,delete s.radialaxis.ticksStep,delete s.radialaxis.rewriteTicks,delete s.radialaxis.nticks),r.layout=s}return r}};return t}},{"../../../constants/alignment":688,"../../../lib":719,d3:163}],838:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../../lib"),a=t("../../../components/color"),o=t("./micropolar"),s=t("./undo_manager"),l=i.extendDeepAll,c=e.exports={};c.framework=function(t){var e,r,i,a,u,h=new s;function f(r,s){return s&&(u=s),n.select(n.select(u).node().parentNode).selectAll(".svg-container>*:not(.chart-root)").remove(),e=e?l(e,r):r,i||(i=o.Axis()),a=o.adapter.plotly().convert(e),i.config(a).render(u),t.data=e.data,t.layout=e.layout,c.fillLayout(t),e}return f.isPolar=!0,f.svg=function(){return i.svg()},f.getConfig=function(){return e},f.getLiveConfig=function(){return o.adapter.plotly().convert(i.getLiveConfig(),!0)},f.getLiveScales=function(){return{t:i.angularScale(),r:i.radialScale()}},f.setUndoPoint=function(){var t,n,i=this,a=o.util.cloneJson(e);t=a,n=r,h.add({undo:function(){n&&i(n)},redo:function(){i(t)}}),r=o.util.cloneJson(a)},f.undo=function(){h.undo()},f.redo=function(){h.redo()},f},c.fillLayout=function(t){var e=n.select(t).selectAll(".plot-container"),r=e.selectAll(".svg-container"),i=t.framework&&t.framework.svg&&t.framework.svg(),o={width:800,height:600,paper_bgcolor:a.background,_container:e,_paperdiv:r,_paper:i};t._fullLayout=l(o,t.layout)}},{"../../../components/color":593,"../../../lib":719,"./micropolar":837,"./undo_manager":839,d3:163}],839:[function(t,e,r){"use strict";e.exports=function(){var t,e=[],r=-1,n=!1;function i(t,e){return t?(n=!0,t[e](),n=!1,this):this}return{add:function(t){return n?this:(e.splice(r+1,e.length-r),e.push(t),r=e.length-1,this)},setCallback:function(e){t=e},undo:function(){var n=e[r];return 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n=t("d3"),i=t("tinycolor2"),a=t("../../registry"),o=t("../../lib"),s=t("../../components/color"),l=t("../../components/drawing"),c=t("../plots"),u=t("../../plots/cartesian/axes"),h=t("../cartesian/set_convert"),f=t("./set_convert"),p=t("../cartesian/autorange").doAutoRange,d=t("../cartesian/dragbox"),g=t("../../components/dragelement"),v=t("../../components/fx"),m=t("../../components/titles"),y=t("../cartesian/select").prepSelect,x=t("../cartesian/select").selectOnClick,b=t("../cartesian/select").clearSelect,_=t("../../lib/setcursor"),w=t("../../lib/clear_gl_canvases"),k=t("../../plot_api/subroutines").redrawReglTraces,T=t("../../constants/alignment").MID_SHIFT,A=t("./constants"),M=t("./helpers"),S=o._,E=o.mod,C=o.deg2rad,L=o.rad2deg;function P(t,e){this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var r=t._fullLayout,n="clip"+r._uid+e;this.clipIds.forTraces=n+"-for-traces",this.clipPaths.forTraces=r._clips.append("clipPath").attr("id",this.clipIds.forTraces),this.clipPaths.forTraces.append("path"),this.framework=r._polarlayer.append("g").attr("class",e),this.radialTickLayout=null,this.angularTickLayout=null}var O=P.prototype;function z(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return"side"in t&&(e+=t.side),e}function I(t,e){return e[o.findIndexOfMin(e,function(e){return o.angleDist(t,e)})]}function D(t,e,r){return e?(t.attr("display",null),t.attr(r)):t&&t.attr("display","none"),t}function R(t,e){return"translate("+t+","+e+")"}function F(t){return"rotate("+t+")"}e.exports=function(t,e){return new P(t,e)},O.plot=function(t,e){var r=e[this.id];this._hasClipOnAxisFalse=!1;for(var 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e=r[t]=n.select(this);switch(t){case"frontplot":e.append("g").classed("barlayer",!0),e.append("g").classed("scatterlayer",!0);break;case"backplot":e.append("g").classed("maplayer",!0);break;case"plotbg":r.bg=e.append("path");break;case"radial-grid":case"angular-grid":e.style("fill","none");break;case"radial-line":e.append("line").style("fill","none");break;case"angular-line":e.append("path").style("fill","none")}}),h.order()},O.updateLayout=function(t,e){var r=this.layers,n=t._size,i=e.radialaxis,a=e.angularaxis,o=e.domain.x,c=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-c[1]);var u=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(c[1]-c[0]),f=e.sector;this.sectorInRad=f.map(C);var p,d,g,v,m,y=this.sectorBBox=function(t){var e,r,n,i,a=t[0],o=t[1]-a,s=E(a,360),l=s+o,c=Math.cos(C(s)),u=Math.sin(C(s)),h=Math.cos(C(l)),f=Math.sin(C(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&f<=0?0:Math.max(u,f);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&h>=0?0:Math.min(c,h);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&f>=0?0:Math.min(u,f);n=l>=360?1:c<=0&&h<=0?0:Math.max(c,h);return[e,r,n,i]}(f),x=y[2]-y[0],b=y[3]-y[1],_=h/u,w=Math.abs(b/x);_>w?(p=u,m=(h-(d=u*w))/n.h/2,g=[o[0],o[1]],v=[c[0]+m,c[1]-m]):(d=h,m=(u-(p=h/w))/n.w/2,g=[o[0]+m,o[1]-m],v=[c[0],c[1]]),this.xLength2=p,this.yLength2=d,this.xDomain2=g,this.yDomain2=v;var k=this.xOffset2=n.l+n.w*g[0],T=this.yOffset2=n.t+n.h*(1-v[1]),A=this.radius=p/x,M=this.innerRadius=e.hole*A,S=this.cx=k-A*y[0],L=this.cy=T+A*y[3],P=this.cxx=S-k,O=this.cyy=L-T;this.radialAxis=this.mockAxis(t,e,i,{_id:"x",side:{counterclockwise:"top",clockwise:"bottom"}[i.side],domain:[M/n.w,A/n.w]}),this.angularAxis=this.mockAxis(t,e,a,{side:"right",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:"x",domain:g}),this.yaxis=this.mockCartesianAxis(t,e,{_id:"y",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select("path").attr("d",z).attr("transform",R(P,O)),r.frontplot.attr("transform",R(k,T)).call(l.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr("d",z).attr("transform",R(S,L)).call(s.fill,e.bgcolor)},O.mockAxis=function(t,e,r,n){var i=o.extendFlat({anchor:"free",position:0},r,n);return 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v=function(t){return"translate("+(d.l2p(t.x)+l)+",0)"},m=z(f);if(r.radialTickLayout!==m&&(i["radial-axis"].selectAll(".xtick").remove(),r.radialTickLayout=m),g){d.setScale();var y=u.calcTicks(d),x=u.clipEnds(d,y),b=u.getTickSigns(d)[2];u.drawTicks(n,d,{vals:y,layer:i["radial-axis"],path:u.makeTickPath(d,0,b),transFn:v,crisp:!1}),u.drawGrid(n,d,{vals:x,layer:i["radial-grid"],path:function(t){return r.pathArc(d.r2p(t.x)+l)},transFn:o.noop,crisp:!1}),u.drawLabels(n,d,{vals:y,layer:i["radial-axis"],transFn:v,labelFns:u.makeLabelFns(d,0)})}var _=r.radialAxisAngle=r.vangles?L(I(C(f.angle),r.vangles)):f.angle,w=R(c,h),k=w+F(-_);D(i["radial-axis"],g&&(f.showticklabels||f.ticks),{transform:k}),D(i["radial-grid"],g&&f.showgrid,{transform:w}),D(i["radial-line"].select("line"),g&&f.showline,{x1:l,y1:0,x2:a,y2:0,transform:k}).attr("stroke-width",f.linewidth).call(s.stroke,f.linecolor)},O.updateRadialAxisTitle=function(t,e,r){var n=this.gd,i=this.radius,a=this.cx,o=this.cy,s=e.radialaxis,c=this.id+"title",u=void 0!==r?r:this.radialAxisAngle,h=C(u),f=Math.cos(h),p=Math.sin(h),d=0;if(s.title){var g=l.bBox(this.layers["radial-axis"].node()).height,v=s.title.font.size;d="counterclockwise"===s.side?-g-.4*v:g+.8*v}this.layers["radial-axis-title"]=m.draw(n,c,{propContainer:s,propName:this.id+".radialaxis.title",placeholder:S(n,"Click to enter radial axis title"),attributes:{x:a+i/2*f+d*p,y:o-i/2*p+d*f,"text-anchor":"middle"},transform:{rotate:-u}})},O.updateAngularAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,l=r.innerRadius,c=r.cx,h=r.cy,f=e.angularaxis,p=r.angularAxis;r.fillViewInitialKey("angularaxis.rotation",f.rotation),p.setGeometry(),p.setScale();var d=function(t){return p.t2g(t.x)};"linear"===p.type&&"radians"===p.thetaunit&&(p.tick0=L(p.tick0),p.dtick=L(p.dtick));var g=function(t){return R(c+a*Math.cos(t),h-a*Math.sin(t))},v=u.makeLabelFns(p,0).labelStandoff,m={xFn:function(t){var e=d(t);return 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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}},{"../../components/color":593,"../../components/fx":632,"../../lib":719,"../../plots/cartesian/axes":767}],886:[function(t,e,r){"use 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o,s,l=e.pos,c=e.val,u=a.bPos,h=a.wdPos||0,f=a.bPosPxOffset||0,p=r.whiskerwidth||0,d=r.notched||!1,g=d?1-2*r.notchwidth:1;Array.isArray(a.bdPos)?(o=a.bdPos[0],s=a.bdPos[1]):(o=a.bdPos,s=a.bdPos);var v=t.selectAll("path.box").data("violin"!==r.type||r.box.visible?i.identity:[]);v.enter().append("path").style("vector-effect","non-scaling-stroke").attr("class","box"),v.exit().remove(),v.each(function(t){if(t.empty)return"M0,0Z";var e=t.pos,a=l.c2p(e+u,!0)+f,v=l.c2p(e+u-o,!0)+f,m=l.c2p(e+u+s,!0)+f,y=l.c2p(e+u-h,!0)+f,x=l.c2p(e+u+h,!0)+f,b=l.c2p(e+u-o*g,!0)+f,_=l.c2p(e+u+s*g,!0)+f,w=c.c2p(t.q1,!0),k=c.c2p(t.q3,!0),T=i.constrain(c.c2p(t.med,!0),Math.min(w,k)+1,Math.max(w,k)-1),A=void 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p=t.selectAll("path.mean").data("box"===r.type&&r.boxmean||"violin"===r.type&&r.box.visible&&r.meanline.visible?i.identity:[]);p.enter().append("path").attr("class","mean").style({fill:"none","vector-effect":"non-scaling-stroke"}),p.exit().remove(),p.each(function(t){var e=l.c2p(t.pos+u,!0)+h,i=l.c2p(t.pos+u-o,!0)+h,a=l.c2p(t.pos+u+s,!0)+h,p=c.c2p(t.mean,!0),d=c.c2p(t.mean-t.sd,!0),g=c.c2p(t.mean+t.sd,!0);"h"===r.orientation?n.select(this).attr("d","M"+p+","+i+"V"+a+("sd"===f?"m0,0L"+d+","+e+"L"+p+","+i+"L"+g+","+e+"Z":"")):n.select(this).attr("d","M"+i+","+p+"H"+a+("sd"===f?"m0,0L"+e+","+d+"L"+i+","+p+"L"+e+","+g+"Z":""))})}e.exports={plot:function(t,e,r,a){var o=e.xaxis,s=e.yaxis;i.makeTraceGroups(a,r,"trace boxes").each(function(t){var 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l=s("locations"),c=s("z");l&&l.length&&n.isArrayOrTypedArray(c)&&c.length?(e._length=Math.min(l.length,c.length),s("locationmode"),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}},{"../../components/colorscale/defaults":603,"../../lib":719,"./attributes":923}],926:[function(t,e,r){"use strict";e.exports=function(t,e,r,n,i){t.location=e.location,t.z=e.z;var a=n[i];return a.fIn&&(t.properties=a.fIn.properties),t}},{}],927:[function(t,e,r){"use strict";var n=t("../../plots/cartesian/axes"),i=t("./attributes"),a=t("../../lib").fillText;e.exports=function(t,e,r){var o,s,l,c,u=t.cd,h=u[0].trace,f=t.subplot;for(s=0;s<u.length;s++)if(c=!1,(o=u[s])._polygons){for(l=0;l<o._polygons.length;l++)o._polygons[l].contains([e,r])&&(c=!c),o._polygons[l].contains([e+360,r])&&(c=!c);if(c)break}if(c&&o)return 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)return;var n=r.hi||e.hoverinfo,o="all"===n?i.hoverinfo.flags:n.split("+"),s=-1!==o.indexOf("name"),l=-1!==o.indexOf("location"),c=-1!==o.indexOf("z"),u=-1!==o.indexOf("text"),h=[];!s&&l?t.nameOverride=r.loc:(s&&(t.nameOverride=e.name),l&&h.push(r.loc));c&&h.push(t.zLabel);u&&a(r,e,h);t.extraText=h.join("<br>")}(t,h,o,f.mockAxis),[t]}},{"../../lib":719,"../../plots/cartesian/axes":767,"./attributes":923}],928:[function(t,e,r){"use 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r=n.select(this).selectAll("path.choroplethlocation").data(i.identity);r.enter().append("path").classed("choroplethlocation",!0),r.exit().remove(),l(t,e)})},feature2polygons:u}},{"../../lib":719,"../../lib/geo_location_utils":713,"../../lib/polygon":731,"../../lib/topojson_utils":746,"./style":931,d3:163}],930:[function(t,e,r){"use strict";e.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}},{}],931:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../components/drawing"),o=t("../../components/colorscale");function s(t,e){var 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n=t("../choropleth/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../components/fx/hovertemplate_attributes"),o=t("../../lib/extend").extendFlat;e.exports=o({locations:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},geojson:{valType:"any",editType:"calc"},below:{valType:"string",editType:"plot"},text:n.text,hovertext:n.hovertext,marker:{line:{color:o({},n.marker.line.color,{editType:"plot"}),width:o({},n.marker.line.width,{editType:"plot"}),editType:"calc"},opacity:o({},n.marker.opacity,{editType:"plot"}),editType:"calc"},selected:{marker:{opacity:o({},n.selected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},unselected:{marker:{opacity:o({},n.unselected.marker.opacity,{editType:"plot"}),editType:"plot"},editType:"plot"},hoverinfo:n.hoverinfo,hovertemplate:a({},{keys:["properties"]})},i("",{cLetter:"z",editTypeOverride:"calc"}))},{"../../components/colorscale/attributes":600,"../../components/fx/hovertemplate_attributes":631,"../../lib/extend":710,"../choropleth/attributes":923}],933:[function(t,e,r){"use 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o.extendFlat(l.paint,{"fill-color":{type:"identity",property:"fc"},"fill-opacity":E}),o.extendFlat(f.paint,{"line-color":b?{type:"identity",property:"mlc"}:T.color,"line-width":_?{type:"identity",property:"mlw"}:T.width,"line-opacity":E}),l.layout.visibility="visible",f.layout.visibility="visible",p.geojson={type:"FeatureCollection",features:m},h(t),p},convertOnSelect:h}},{"../../components/colorscale":605,"../../components/drawing":614,"../../lib":719,"../../lib/geojson_utils":714,"../choropleth/plot":929,"@turf/area":55,"@turf/centroid":56,"fast-isnumeric":225}],934:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.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))?(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}},{"../../components/colorscale/defaults":603,"../../lib":719,"./attributes":932}],935:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../heatmap/colorbar"),calc:t("../choropleth/calc"),plot:t("./plot"),hoverPoints:t("../choropleth/hover"),eventData:t("../choropleth/event_data"),selectPoints:t("../choropleth/select"),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:"choroplethmapbox",basePlotModule:t("../../plots/mapbox"),categories:["mapbox","gl","noOpacity"],meta:{hr_name:"choropleth_mapbox"}}},{"../../plots/mapbox":822,"../choropleth/calc":924,"../choropleth/event_data":926,"../choropleth/hover":927,"../choropleth/select":930,"../heatmap/colorbar":1004,"./attributes":932,"./defaults":934,"./plot":936}],936:[function(t,e,r){"use strict";var n=t("./convert").convert,i=t("./convert").convertOnSelect,a=t("../../plots/mapbox/constants").traceLayerPrefix;function o(t,e){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))},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)},e.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}},{"../../plots/mapbox/constants":820,"./convert":933}],937:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../components/fx/hovertemplate_attributes"),a=t("../mesh3d/attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l={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"},sizemode:{valType:"enumerated",values:["scaled","absolute"],editType:"calc",dflt:"scaled"},sizeref:{valType:"number",editType:"calc",min:0},anchor:{valType:"enumerated",editType:"calc",values:["tip","tail","cm","center"],dflt:"cm"},text:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"calc"},hovertemplate:i({editType:"calc"},{keys:["norm"]})};s(l,n("",{colorAttr:"u/v/w 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n=t("gl-cone3d"),i=t("gl-cone3d").createConeMesh,a=t("../../lib").simpleMap,o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3");function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index,r=this.data.x[e],n=this.data.y[e],i=this.data.z[e],a=this.data.u[e],o=this.data.v[e],s=this.data.w[e];t.traceCoordinate=[r,n,i,a,o,s,Math.sqrt(a*a+o*o+s*s)];var l=this.data.hovertext||this.data.text;return Array.isArray(l)&&void 0!==l[e]?t.textLabel=l[e]:l&&(t.textLabel=l),!0}};var h={xaxis:0,yaxis:1,zaxis:2},f={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[h[e]];return a(t,function(t){return 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n=t("../../components/colorscale/defaults"),i=t("./label_defaults");e.exports=function(t,e,r,a,o){var s,l=r("contours.coloring"),c="";"fill"===l&&(s=r("contours.showlines")),!1!==s&&("lines"!==l&&(c=r("line.color","#000")),r("line.width",.5),r("line.dash")),"none"!==l&&(!0!==t.showlegend&&(e.showlegend=!1),e._dfltShowLegend=!1,n(t,e,a,r,{prefix:"",cLetter:"z"})),r("line.smoothing"),i(r,a,c,o)}},{"../../components/colorscale/defaults":603,"./label_defaults":957}],964:[function(t,e,r){"use strict";var n=t("../heatmap/attributes"),i=t("../contour/attributes"),a=i.contours,o=t("../scatter/attributes"),s=t("../../components/colorscale/attributes"),l=t("../../lib/extend").extendFlat,c=o.line;e.exports=l({carpet:{valType:"string",editType:"calc"},z:n.z,a:n.x,a0:n.x0,da:n.dx,b:n.y,b0:n.y0,db:n.dy,text:n.text,hovertext:n.hovertext,transpose:n.transpose,atype:n.xtype,btype:n.ytype,fillcolor:i.fillcolor,autocontour:i.autocontour,ncontours:i.ncontours,contours:{type:a.type,start:a.start,end:a.end,size:a.size,coloring:{valType:"enumerated",values:["fill","lines","none"],dflt:"fill",editType:"calc"},showlines:a.showlines,showlabels:a.showlabels,labelfont:a.labelfont,labelformat:a.labelformat,operation:a.operation,value:a.value,editType:"calc",impliedEdits:{autocontour:!1}},line:{color:l({},c.color,{}),width:c.width,dash:c.dash,smoothing:l({},c.smoothing,{}),editType:"plot"},transforms:void 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n=t("../../lib/extend").extendFlat,i=t("../../lib/extend").extendDeep,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../components/color/attributes"),l=t("../../plots/domain").attributes,c=t("../../plots/cartesian/layout_attributes"),u=t("../../plot_api/plot_template").templatedArray,h=t("../../constants/delta.js"),f=(t("../../constants/docs").FORMAT_LINK,o({editType:"plot",colorEditType:"plot"})),p={color:{valType:"color",editType:"plot"},line:{color:{valType:"color",dflt:s.defaultLine,editType:"plot"},width:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"calc"},thickness:{valType:"number",min:0,max:1,dflt:1,editType:"plot"},editType:"calc"},d={valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},g=u("steps",i({},p,{range:d}));e.exports={mode:{valType:"flaglist",editType:"calc",flags:["number","delta","gauge"],dflt:"number"},value:{valType:"number",editType:"calc",anim:!0},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},domain:l({name:"indicator",trace:!0,editType:"calc"}),title:{text:{valType:"string",editType:"plot"},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},font:n({},f,{}),editType:"plot"},number:{valueformat:{valType:"string",dflt:"",editType:"plot"},font:n({},f,{}),prefix:{valType:"string",dflt:"",editType:"plot"},suffix:{valType:"string",dflt:"",editType:"plot"},editType:"plot"},delta:{reference:{valType:"number",editType:"calc"},position:{valType:"enumerated",values:["top","bottom","left","right"],dflt:"bottom",editType:"plot"},relative:{valType:"boolean",editType:"plot",dflt:!1},valueformat:{valType:"string",editType:"plot"},increasing:{symbol:{valType:"string",dflt:h.INCREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:h.INCREASING.COLOR,editType:"plot"},editType:"plot"},decreasing:{symbol:{valType:"string",dflt:h.DECREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:h.DECREASING.COLOR,editType:"plot"},editType:"plot"},font:n({},f,{}),editType:"calc"},gauge:{shape:{valType:"enumerated",editType:"plot",dflt:"angular",values:["angular","bullet"]},bar:i({},p,{color:{dflt:"green"}}),bgcolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:s.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:1,editType:"plot"},axis:a({range:d,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:"outside"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,showexponent:c.showexponent,editType:"plot"},"plot"),steps:g,threshold:{line:{color:n({},p.line.color,{}),width:n({},p.line.width,{dflt:1}),editType:"plot"},thickness:n({},p.thickness,{dflt:.85}),value:{valType:"number",editType:"calc",dflt:!1},editType:"plot"},editType:"plot"}}},{"../../components/color/attributes":592,"../../constants/delta.js":689,"../../constants/docs":690,"../../lib/extend":710,"../../plot_api/edit_types":750,"../../plot_api/plot_template":757,"../../plots/cartesian/layout_attributes":779,"../../plots/domain":792,"../../plots/font_attributes":793}],1042:[function(t,e,r){"use 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h,A,M,S,E,C=e[0].trace,L=n.select(this),P=C._hasGauge,O=C._isAngular,z=C._isBullet,I=C.domain,D={w:p._size.w*(I.x[1]-I.x[0]),h:p._size.h*(I.y[1]-I.y[0]),l:p._size.l+p._size.w*I.x[0],r:p._size.r+p._size.w*(1-I.x[1]),t:p._size.t+p._size.h*(1-I.y[1]),b:p._size.b+p._size.h*I.y[0]},R=D.l+D.w/2,F=D.t+D.h/2,B=Math.min(D.w/2,D.h),N=l.innerRadius*B,j=C.align||"center";if(A=F,P){if(O&&(h=R,A=F+B/2,M=function(t){return e=t,r=.9*N,n=Math.sqrt(e.width/2*(e.width/2)+e.height*e.height),[r/n,e,r];var e,r,n}),z){var U=l.bulletPadding,V=1-l.bulletNumberDomainSize+U;h=D.l+(V+(1-V)*v[j])*D.w,M=function(t){return w(t,(l.bulletNumberDomainSize-U)*D.w,D.h)}}}else h=D.l+v[j]*D.w,M=function(t){return w(t,D.w,D.h)};!function(t,e,r,a){var o,l,h,f=r[0].trace,p=a.numbersX,x=a.numbersY,w=f.align||"center",A=g[w],M=a.transitionOpts,S=a.onComplete,E=i.ensureSingle(e,"g","numbers"),C=[];f._hasNumber&&C.push("number");f._hasDelta&&(C.push("delta"),"left"===f.delta.position&&C.reverse());var L=E.selectAll("text").data(C);function P(e,r,n,i){if(!e.match("s")||n>=0==i>=0||r(n).slice(-1).match(m)||r(i).slice(-1).match(m))return r;var a=e.slice().replace("s","f").replace(/\d+/,function(t){return parseInt(t)-1}),o=b(t,{tickformat:a});return function(t){return Math.abs(t)<1?u.tickText(o,t).text:r(t)}}L.enter().append("text"),L.attr("text-anchor",function(){return A}).attr("class",function(t){return t}).attr("x",null).attr("y",null).attr("dx",null).attr("dy",null),L.exit().remove();var O,z=f.mode+f.align;f._hasDelta&&(O=function(){var e=b(t,{tickformat:f.delta.valueformat},f._range);e.setScale(),u.calcTicks(e);var i=function(t){return u.tickText(e,t).text},a=function(t){var e=f.delta.relative?t.relativeDelta:t.delta;return e},o=function(t,e){return 0===t||"number"!=typeof t||isNaN(t)?"-":(t>0?f.delta.increasing.symbol:f.delta.decreasing.symbol)+e(t)},h=function(t){return t.delta>=0?f.delta.increasing.color:f.delta.decreasing.color};void 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u.tickText(e,t).text},a=f.number.suffix,l=f.number.prefix,h=E.select("text.number");function p(){var e="number"==typeof r[0].y?l+i(r[0].y)+a:"-";h.text(e).call(s.font,f.number.font).call(c.convertToTspans,t)}y(M)?h.transition().duration(M.duration).ease(M.easing).each("end",function(){p(),S&&S()}).each("interrupt",function(){p(),S&&S()}).attrTween("text",function(){var t=n.select(this),e=n.interpolateNumber(r[0].lastY,r[0].y);f._lastValue=r[0].y;var o=P(f.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(l+o(e(r))+a)}}):p();o=k(l+i(r[0].y)+a,f.number.font,A,t)}(),z+=f.number.font.size+f.number.font.family+f.number.valueformat+f.number.suffix+f.number.prefix,h=o);if(f._hasDelta&&f._hasNumber){var I,D,R=[(o.left+o.right)/2,(o.top+o.bottom)/2],F=[(l.left+l.right)/2,(l.top+l.bottom)/2],B=.75*f.delta.font.size;"left"===f.delta.position&&(I=T(f,"deltaPos",0,-1*(o.width*v[f.align]+l.width*(1-v[f.align])+B),z,Math.min),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:l.left+I,right:o.right,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),"right"===f.delta.position&&(I=T(f,"deltaPos",0,o.width*(1-v[f.align])+l.width*v[f.align]+B,z,Math.max),D=R[1]-F[1],h={width:o.width+l.width+B,height:Math.max(o.height,l.height),left:o.left,right:l.right+I,top:Math.min(o.top,l.top+D),bottom:Math.max(o.bottom,l.bottom+D)}),"bottom"===f.delta.position&&(I=null,D=l.height,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height,bottom:o.bottom+l.height}),"top"===f.delta.position&&(I=null,D=o.top,h={width:Math.max(o.width,l.width),height:o.height+l.height,left:Math.min(o.left,l.left),right:Math.max(o.right,l.right),top:o.bottom-o.height-l.height,bottom:o.bottom}),O.attr({dx:I,dy:D})}(f._hasNumber||f._hasDelta)&&E.attr("transform",function(){var t=a.numbersScaler(h);z+=t[2];var e,r=T(f,"numbersScale",1,t[0],z,Math.min);f._scaleNumbers||(r=1),e=f._isAngular?x-r*h.bottom:x-r*(h.top+h.bottom)/2,f._numbersTop=r*h.top+e;var n=h[w];"center"===w&&(n=(h.left+h.right)/2);var i=p-r*n;return _(i=T(f,"numbersTranslate",0,i,z,Math.max),e)+" scale("+r+")"})}(t,L,e,{numbersX:h,numbersY:A,numbersScaler:M,transitionOpts:r,onComplete:f}),P&&(S={range:C.gauge.axis.range,color:C.gauge.bgcolor,line:{color:C.gauge.bordercolor,width:0},thickness:1},E={range:C.gauge.axis.range,color:"rgba(0, 0, 0, 0)",line:{color:C.gauge.bordercolor,width:C.gauge.borderwidth},thickness:1});var q=L.selectAll("g.angular").data(O?e:[]);q.exit().remove();var H=L.selectAll("g.angularaxis").data(O?e:[]);H.exit().remove(),O&&function(t,e,r,i){var s,l,c,h,f=r[0].trace,p=i.size,d=i.radius,g=i.innerRadius,v=i.gaugeBg,m=i.gaugeOutline,w=[p.l+p.w/2,p.t+p.h/2+d/2],k=i.gauge,T=i.layer,A=i.transitionOpts,M=i.onComplete,S=Math.PI/2;function E(t){var e=f.gauge.axis.range[0],r=f.gauge.axis.range[1],n=(t-e)/(r-e)*Math.PI-S;return n<-S?-S:n>S?S:n}function C(t){return n.svg.arc().innerRadius((g+d)/2-t/2*(d-g)).outerRadius((g+d)/2+t/2*(d-g)).startAngle(-S)}function L(t){t.attr("d",function(t){return C(t.thickness).startAngle(E(t.range[0])).endAngle(E(t.range[1]))()})}k.enter().append("g").classed("angular",!0),k.attr("transform",_(w[0],w[1])),T.enter().append("g").classed("angularaxis",!0).classed("crisp",!0),T.selectAll("g.xangularaxistick,path,text").remove(),(s=b(t,f.gauge.axis)).type="linear",s.range=f.gauge.axis.range,s._id="xangularaxis",s.setScale();var P=function(t){return(s.range[0]-t.x)/(s.range[1]-s.range[0])*Math.PI+Math.PI},O={},z=u.makeLabelFns(s,0).labelStandoff;O.xFn=function(t){var e=P(t);return Math.cos(e)*z},O.yFn=function(t){var e=P(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*o)},O.anchorFn=function(t){var e=P(t),r=Math.cos(e);return 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Y=k.selectAll("g.gauge-outline").data([m]);Y.enter().append("g").classed("gauge-outline",!0).append("path"),Y.select("path").call(L).call(x),Y.exit().remove()}(t,0,e,{radius:B,innerRadius:N,gauge:q,layer:H,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var G=L.selectAll("g.bullet").data(z?e:[]);G.exit().remove();var Y=L.selectAll("g.bulletaxis").data(z?e:[]);Y.exit().remove(),z&&function(t,e,r,n){var i,a,o,s,c,h=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,v=n.gaugeOutline,m=n.size,_=h.domain,w=n.transitionOpts,k=n.onComplete;f.enter().append("g").classed("bullet",!0),f.attr("transform","translate("+m.l+", "+m.t+")"),p.enter().append("g").classed("bulletaxis",!0).classed("crisp",!0),p.selectAll("g.xbulletaxistick,path,text").remove();var T=m.h,A=h.gauge.bar.thickness*T,M=_.x[0],S=_.x[0]+(_.x[1]-_.x[0])*(h._hasNumber||h._hasDelta?1-l.bulletNumberDomainSize:1);(i=b(t,h.gauge.axis))._id="xbulletaxis",i.domain=[M,S],i.setScale(),a=u.calcTicks(i),o=u.makeTransFn(i),s=u.getTickSigns(i)[2],c=m.t+m.h,i.visible&&(u.drawTicks(t,i,{vals:"inside"===i.ticks?u.clipEnds(i,a):a,layer:p,path:u.makeTickPath(i,c,s),transFn:o}),u.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:u.makeLabelFns(i,c)}));function E(t){t.attr("width",function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))}).attr("x",function(t){return i.c2p(t.range[0])}).attr("y",function(t){return.5*(1-t.thickness)*T}).attr("height",function(t){return t.thickness*T})}var C=[g].concat(h.gauge.steps),L=f.selectAll("g.bg-bullet").data(C);L.enter().append("g").classed("bg-bullet",!0).append("rect"),L.select("rect").call(E).call(x),L.exit().remove();var P=f.selectAll("g.value-bullet").data([h.gauge.bar]);P.enter().append("g").classed("value-bullet",!0).append("rect"),P.select("rect").attr("height",A).attr("y",(T-A)/2).call(x),y(w)?P.select("rect").transition().duration(w.duration).ease(w.easing).each("end",function(){k&&k()}).each("interrupt",function(){k&&k()}).attr("width",Math.max(0,i.c2p(Math.min(h.gauge.axis.range[1],r[0].y)))):P.select("rect").attr("width","number"==typeof r[0].y?Math.max(0,i.c2p(Math.min(h.gauge.axis.range[1],r[0].y))):0);P.exit().remove();var O=r.filter(function(){return h.gauge.threshold.value}),z=f.selectAll("g.threshold-bullet").data(O);z.enter().append("g").classed("threshold-bullet",!0).append("line"),z.select("line").attr("x1",i.c2p(h.gauge.threshold.value)).attr("x2",i.c2p(h.gauge.threshold.value)).attr("y1",(1-h.gauge.threshold.thickness)/2*T).attr("y2",(1-(1-h.gauge.threshold.thickness)/2)*T).call(d.stroke,h.gauge.threshold.line.color).style("stroke-width",h.gauge.threshold.line.width),z.exit().remove();var I=f.selectAll("g.gauge-outline").data([v]);I.enter().append("g").classed("gauge-outline",!0).append("rect"),I.select("rect").call(E).call(x),I.exit().remove()}(t,0,e,{gauge:G,layer:Y,size:D,gaugeBg:S,gaugeOutline:E,transitionOpts:r,onComplete:f});var W=L.selectAll("text.title").data(e);W.exit().remove(),W.enter().append("text").classed("title",!0),W.attr("text-anchor",function(){return z?g.right:g[C.title.align]}).text(C.title.text).call(s.font,C.title.font).call(c.convertToTspans,t),W.attr("transform",function(){var 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n=t("../../lib/extend").extendFlat,i=t("../../plots/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../components/fx/hovertemplate_attributes"),l=t("../../plots/domain").attributes,c=n({editType:"calc"},o("line",{editTypeOverride:"calc"}),{shape:{valType:"enumerated",values:["linear","hspline"],dflt:"linear",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability"]})});e.exports={domain:l({name:"parcats",trace:!0,editType:"calc"}),hoverinfo:n({},i.hoverinfo,{flags:["count","probability"],editType:"plot",arrayOk:!1}),hoveron:{valType:"enumerated",values:["category","color","dimension"],dflt:"category",editType:"plot"},hovertemplate:s({editType:"plot",arrayOk:!1},{keys:["count","probability","category","categorycount","colorcount","bandcolorcount"]}),arrangement:{valType:"enumerated",values:["perpendicular","freeform","fixed"],dflt:"perpendicular",editType:"plot"},bundlecolors:{valType:"boolean",dflt:!0,editType:"plot"},sortpaths:{valType:"enumerated",values:["forward","backward"],dflt:"forward",editType:"plot"},labelfont:a({editType:"calc"}),tickfont:a({editType:"calc"}),dimensions:{_isLinkedToArray:"dimension",label:{valType:"string",editType:"calc"},categoryorder:{valType:"enumerated",values:["trace","category 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i=n._has&&n._has("parcats"),a=e._has&&e._has("parcats");i&&!a&&n._paperdiv.selectAll(".parcats").remove()}},{"../../plots/get_data":802,"./plot":1073}],1069:[function(t,e,r){"use strict";var n=t("../../lib/gup").wrap,i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/calc"),o=t("../../lib/filter_unique.js"),s=t("../../components/drawing"),l=t("../../lib");function c(t,e,r){t.valueInds.push(e),t.count+=r}function u(t,e,r){t.valueInds.push(e),t.count+=r}e.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var h,f,p,d=r.map(function(t){var e;return"trace"===t.categoryorder?e=null:"array"===t.categoryorder?e=t.categoryarray:(e=o(t.values).sort(),"category descending"===t.categoryorder&&(e=e.reverse())),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 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z=e._fullLayout.paper_bgcolor;T.select("text.catlabel").attr("text-anchor",function(t){return f(t)?"start":"end"}).attr("alignment-baseline","middle").style("text-shadow",z+" -1px  1px 2px, "+z+" 1px  1px 2px, "+z+"  1px -1px 2px, "+z+" -1px -1px 2px").style("fill","rgb(0, 0, 0)").attr("x",function(t){return f(t)?t.width+5:-5}).attr("y",function(t){return t.height/2}).text(function(t){return t.model.categoryLabel}).each(function(t){s.font(n.select(this),t.parcatsViewModel.categorylabelfont),c.convertToTspans(n.select(this),e)}),A.append("text").attr("class","dimlabel"),T.select("text.dimlabel").attr("text-anchor","middle").attr("alignment-baseline","baseline").attr("cursor",function(t){return"fixed"===t.parcatsViewModel.arrangement?"default":"ew-resize"}).attr("x",function(t){return t.width/2}).attr("y",-5).text(function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null}).each(function(t){s.font(n.select(this),t.parcatsViewModel.labelfont)}),T.selectAll("rect.bandrect").on("mouseover",M).on("mouseout",S),T.exit().remove(),k.call(n.behavior.drag().origin(function(t){return{x:t.x,y:0}}).on("dragstart",E).on("drag",C).on("dragend",L)),u.each(function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll("g.paths").selectAll("path.path"),t.dimensionSelection=n.select(this).selectAll("g.dimensions").selectAll("g.dimension")}),u.exit().remove()}function h(t){return t.key}function f(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function p(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function d(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){o.raiseToTop(this),x(n.select(this));var e=v(t);if(t.parcatsViewModel.graphDiv.emit("plotly_hover",{points:e,event:n.event}),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none")){var r,i,s,c=n.mouse(this)[0],u=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,f=u._fullLayout,p=f._paperdiv.node().getBoundingClientRect(),d=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(s=0;s<t.leftXs.length-1;s++)if(t.leftXs[s]+t.dimWidths[s]-2<=c&&c<=t.leftXs[s+1]+2){var g=t.parcatsViewModel.dimensions[s],m=t.parcatsViewModel.dimensions[s+1];r=(g.x+g.width+m.x)/2,i=(t.topYs[s]+t.topYs[s+1]+t.height)/2;break}var y=t.parcatsViewModel.x+r,b=t.parcatsViewModel.y+i,_=l.mostReadable(t.model.color,["black","white"]),w=t.model.count,k=w/t.parcatsViewModel.model.count,T={countLabel:w,probabilityLabel:k.toFixed(3)},A=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf("count")&&A.push(["Count:",T.countLabel].join(" ")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf("probability")&&A.push(["P:",T.probabilityLabel].join(" "));var M=A.join("<br>"),S=n.mouse(u)[0];a.loneHover({trace:h,x:y-p.left+d.left,y:b-p.top+d.top,text:M,color:t.model.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:10,fontColor:_,idealAlign:S<y?"right":"left",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:T,eventData:[{data:h._input,fullData:h,count:w,probability:k}]},{container:f._hoverlayer.node(),outerContainer:f._paper.node(),gd:u})}}}function g(t){if(!t.parcatsViewModel.dragDimension&&(y(n.select(this)),a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(p),-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip"))){var e=v(t);t.parcatsViewModel.graphDiv.emit("plotly_unhover",{points:e,event:n.event})}}function v(t){for(var e=[],r=P(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 m(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){var e=v(t);t.parcatsViewModel.graphDiv.emit("plotly_click",{points:e,event:n.event})}}function y(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 x(t){t.attr("fill-opacity",.8).attr("stroke",function(t){return l.mostReadable(t.model.color,["black","white"])}).attr("stroke-width",.3)}function b(t){t.select("rect.catrect").attr("stroke","black").attr("stroke-width",1).attr("stroke-opacity",1)}function _(t){t.attr("stroke","black").attr("stroke-width",.2).attr("stroke-opacity",1).attr("fill-opacity",1)}function w(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter(function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color})}function k(t,e,r){var i=n.select(t).datum().parcatsViewModel.graphDiv,a=n.select(t.parentNode).selectAll("rect.bandrect"),o=[];a.each(function(t){w(t).each(function(t){Array.prototype.push.apply(o,v(t))})}),i.emit(e,{points:o,event:r})}function T(t,e,r){var i=n.select(t).datum(),a=i.parcatsViewModel.graphDiv,o=w(i),s=[];o.each(function(t){Array.prototype.push.apply(s,v(t))}),a.emit(e,{points:s,event:r})}function A(t,e){var r,i,a=n.select(e.parentNode).select("rect.catrect"),o=a.node().getBoundingClientRect(),s=a.datum(),l=s.parcatsViewModel,c=l.model.dimensions[s.model.dimensionInd],u=l.trace,h=o.top+o.height/2;l.dimensions.length>1&&c.displayInd===l.dimensions.length-1?(r=o.left,i="left"):(r=o.left+o.width,i="right");var f=s.model.count,p=s.model.categoryLabel,d=f/s.parcatsViewModel.model.count,g={countLabel:f,categoryLabel:p,probabilityLabel:d.toFixed(3)},v=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf("count")&&v.push(["Count:",g.countLabel].join(" ")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf("probability")&&v.push(["P("+g.categoryLabel+"):",g.probabilityLabel].join(" "));var m=v.join("<br>");return{trace:u,x:r-t.left,y:h-t.top,text:m,color:"lightgray",borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontSize:12,fontColor:"black",idealAlign:i,hovertemplate:u.hovertemplate,hovertemplateLabels:g,eventData:[{data:u._input,fullData:u,count:f,category:p,probability:d}]}}function M(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,s=i._paperdiv.node().getBoundingClientRect(),c=t.parcatsViewModel.hoveron;if("color"===c?(!function(t){var e=n.select(t).datum(),r=w(e);x(r),r.each(function(){o.raiseToTop(this)}),n.select(t.parentNode).selectAll("rect.bandrect").filter(function(t){return t.color===e.color}).each(function(){o.raiseToTop(this),n.select(this).attr("stroke","black").attr("stroke-width",1.5)})}(this),T(this,"plotly_hover",n.event)):(!function(t){n.select(t.parentNode).selectAll("rect.bandrect").each(function(t){var e=w(t);x(e),e.each(function(){o.raiseToTop(this)})}),n.select(t.parentNode).select("rect.catrect").attr("stroke","black").attr("stroke-width",2.5)}(this),k(this,"plotly_hover",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf("none"))"category"===c?e=A(s,this):"color"===c?e=function(t,e){var r,i,a=e.getBoundingClientRect(),o=n.select(e).datum(),s=o.categoryViewModel,c=s.parcatsViewModel,u=c.model.dimensions[s.model.dimensionInd],h=c.trace,f=a.y+a.height/2;c.dimensions.length>1&&u.displayInd===c.dimensions.length-1?(r=a.left,i="left"):(r=a.left+a.width,i="right");var p=s.model.categoryLabel,d=o.parcatsViewModel.model.count,g=0;o.categoryViewModel.bands.forEach(function(t){t.color===o.color&&(g+=t.count)});var v=s.model.count,m=0;c.pathSelection.each(function(t){t.model.color===o.color&&(m+=t.model.count)});var y=g/d,x=g/m,b=g/v,_={countLabel:d,categoryLabel:p,probabilityLabel:y.toFixed(3)},w=[];-1!==s.parcatsViewModel.hoverinfoItems.indexOf("count")&&w.push(["Count:",_.countLabel].join(" ")),-1!==s.parcatsViewModel.hoverinfoItems.indexOf("probability")&&(w.push("P(color \u2229 "+p+"): "+_.probabilityLabel),w.push("P("+p+" | color): "+x.toFixed(3)),w.push("P(color | "+p+"): "+b.toFixed(3)));var k=w.join("<br>"),T=l.mostReadable(o.color,["black","white"]);return{trace:h,x:r-t.left,y:f-t.top,text:k,color:o.color,borderColor:"black",fontFamily:'Monaco, "Courier New", monospace',fontColor:T,fontSize:10,idealAlign:i,hovertemplate:h.hovertemplate,hovertemplateLabels:_,eventData:[{data:h._input,fullData:h,category:p,count:d,probability:y,categorycount:v,colorcount:m,bandcolorcount:g}]}}(s,this):"dimension"===c&&(e=function(t,e){var r=[];return n.select(e.parentNode.parentNode).selectAll("g.category").select("rect.catrect").each(function(){r.push(A(t,this))}),r}(s,this)),e&&a.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function S(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(y(e.pathSelection),b(e.dimensionSelection.selectAll("g.category")),_(e.dimensionSelection.selectAll("g.category").selectAll("rect.bandrect")),a.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(p),-1===e.hoverinfoItems.indexOf("skip"))){"color"===t.parcatsViewModel.hoveron?T(this,"plotly_unhover",n.event):k(this,"plotly_unhover",n.event)}}function E(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,o.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,a.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function C(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}R(t.parcatsViewModel),D(t.parcatsViewModel),z(t.parcatsViewModel),O(t.parcatsViewModel)}}function L(t){if("fixed"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll("text").attr("font-weight","normal");var e={},r=P(t.parcatsViewModel),a=t.parcatsViewModel.model.dimensions.map(function(t){return t.displayInd}),o=t.initialDragDimensionDisplayInds.some(function(t,e){return t!==a[e]});o&&a.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 t.categoryLabel});e["dimensions["+t.model.containerInd+"].categoryarray"]=[u],e["dimensions["+t.model.containerInd+"].ticktext"]=[h],e["dimensions["+t.model.containerInd+"].categoryorder"]="array"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf("skip")&&!t.dragHasMoved&&t.potentialClickBand&&("color"===t.parcatsViewModel.hoveron?T(t.potentialClickBand,"plotly_click",n.event.sourceEvent):k(t.potentialClickBand,"plotly_click",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,R(t.parcatsViewModel),D(t.parcatsViewModel),n.transition().duration(300).ease("cubic-in-out").each(function(){z(t.parcatsViewModel,!0),O(t.parcatsViewModel,!0)}).each("end",function(){(o||s)&&i.restyle(t.parcatsViewModel.graphDiv,e,[r])})}}function P(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function O(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data(function(t){return t.paths},h),(r=t.pathSelection,e?r.transition():r).attr("d",function(t){return t.svgD})}function z(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data(function(t){return t.dimensions},h);var i=t.dimensionSelection.selectAll("g.category").data(function(t){return t.categories},h);r(t.dimensionSelection).attr("transform",function(t){return"translate("+t.x+", 0)"}),r(i).attr("transform",function(t){return"translate(0, "+t.y+")"}),i.select(".dimlabel").text(function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null}),i.select(".catlabel").attr("text-anchor",function(t){return f(t)?"start":"end"}).attr("x",function(t){return f(t)?t.width+5:-5}).each(function(t){var e,r;f(t)?(e=t.width+5,r="start"):(e=-5,r="end"),n.select(this).selectAll("tspan").attr("x",e).attr("text-anchor",r)});var a=i.selectAll("rect.bandrect").data(function(t){return t.bands},h),s=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}),_(s),a.each(function(){o.raiseToTop(this)}),a.exit().remove()}function I(t,e,r,i,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=n.interpolateNumber(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u="M "+t[0]+","+e[0];for(u+="l"+r[0]+",0 ",s=1;s<r.length;s++)u+="C"+l[s-1]+","+e[s-1]+" "+c[s-1]+","+e[s]+" "+t[s]+","+e[s],u+="l"+r[s]+",0 ";for(u+="l0,"+i+" ",u+="l -"+r[r.length-1]+",0 ",s=r.length-2;s>=0;s--)u+="C"+c[s]+","+(e[s+1]+i)+" "+l[s]+","+(e[s]+i)+" "+(t[s]+r[s])+","+(e[s]+i),u+="l-"+r[s]+",0 ";return u+="Z"}function D(t){var e=t.dimensions,r=t.model,n=e.map(function(t){return t.categories.map(function(t){return t.y})}),i=t.model.dimensions.map(function(t){return t.categories.map(function(t){return t.displayInd})}),a=t.model.dimensions.map(function(t){return t.displayInd}),o=t.dimensions.map(function(t){return t.model.dimensionInd}),s=e.map(function(t){return t.x}),l=e.map(function(t){return t.width}),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function h(t){var e=t.categoryInds.map(function(t,e){return i[e][t]});return o.map(function(t){return e[t]})}c.sort(function(e,r){var n=h(e),i=h(r);return"backward"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0});for(var f=new Array(c.length),p=e[0].model.count,d=e[0].categories.map(function(t){return t.height}).reduce(function(t,e){return t+e}),g=0;g<c.length;g++){var v,m=c[g];v=p>0?d*(m.count/p):0;for(var y,x=new Array(n.length),b=0;b<m.categoryInds.length;b++){var _=m.categoryInds[b],w=i[b][_],k=a[b];x[k]=n[k][w],n[k][w]+=v;var T=t.dimensions[k].categories[w],A=T.bands.length,M=T.bands[A-1];if(void 0===M||m.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;T.bands.push({key:S,color:m.color,rawColor:m.rawColor,height:v,width:T.width,count:m.count,y:S,categoryViewModel:T,parcatsViewModel:t})}else{var E=T.bands[A-1];E.height+=v,E.count+=m.count}}y="hspline"===t.pathShape?I(s,x,l,v,.5):I(s,x,l,v,0),f[g]={key:m.valueInds[0],model:m,height:v,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=f}function R(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(F(t,a))}t.dimensions=r}function F(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 a,o,s,l,c,u=[],h=t.model.maxCats,f=e.categories.length,p=e.count,d=t.height-8*(h-1),g=8*(h-f)/2,v=e.categories.map(function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}});for(v.sort(function(t,e){return t.displayInd-e.displayInd}),c=0;c<f;c++)l=v[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){u(r,t,n,e)}},{"../../components/drawing":614,"../../components/fx":632,"../../lib":719,"../../lib/svg_text_utils":743,"../../plot_api/plot_api":754,d3:163,tinycolor2:537}],1073:[function(t,e,r){"use strict";var n=t("./parcats");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{"./parcats":1072}],1074:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/layout_attributes"),a=t("../../plots/font_attributes"),o=t("../../plots/domain").attributes,s=t("../../lib/extend").extendFlat,l=t("../../plot_api/plot_template").templatedArray;e.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},multiselect:{valType:"boolean",dflt:!0,editType:"plot"},values:{valType:"data_array",editType:"calc"},editType:"calc"}),line:s({editType:"calc"},n("line",{colorscaleDflt:"Viridis",autoColorDflt:!1,editTypeOverride:"calc"}))}},{"../../components/colorscale/attributes":600,"../../lib/extend":710,"../../plot_api/plot_template":757,"../../plots/cartesian/layout_attributes":779,"../../plots/domain":792,"../../plots/font_attributes":793}],1075:[function(t,e,r){"use strict";var n=t("./constants"),i=t("d3"),a=t("../../lib/gup").keyFun,o=t("../../lib/gup").repeat,s=t("../../lib").sorterAsc,l=n.bar.snapRatio;function c(t,e){return t*(1-l)+e*l}var u=n.bar.snapClose;function h(t,e){return t*(1-u)+e*u}function f(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],u=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return c(l,u);if(i*r<i*d||p===o)return c(d,l);u=l,l=d}}function p(t){t.attr("x",-n.bar.captureWidth/2).attr("width",n.bar.captureWidth)}function d(t){t.attr("visibility","visible").style("visibility","visible").attr("fill","yellow").attr("opacity",0)}function g(t){if(!t.brush.filterSpecified)return"0,"+t.height;for(var e,r,n,i=v(t.brush.filter.getConsolidated(),t.height),a=[0],o=i.length?i[0][0]:null,s=0;s<i.length;s++)r=(e=i[s])[1]-e[0],a.push(o),a.push(r),(n=s+1)<i.length&&(o=i[n][0]-e[1]);return a.push(t.height),a}function v(t,e){return t.map(function(t){return t.map(function(t){return Math.max(0,t*e)}).sort(s)})}function m(){i.select(document.body).style("cursor",null)}function y(t){t.attr("stroke-dasharray",g)}function x(t,e){var r=i.select(t).selectAll(".highlight, .highlight-shadow");y(e?r.transition().duration(n.bar.snapDuration).each("end",e):r)}function b(t,e){var r,i=t.brush,a=NaN,o={};if(i.filterSpecified){var s=t.height,l=i.filter.getConsolidated(),c=v(l,s),u=NaN,h=NaN,f=NaN;for(r=0;r<=c.length;r++){var p=c[r];if(p&&p[0]<=e&&e<=p[1]){u=r;break}if(h=r?r-1:NaN,p&&p[0]>e){f=r;break}}if(a=u,isNaN(a)&&(a=isNaN(h)||isNaN(f)?isNaN(h)?f:h:e-c[h][1]<c[f][0]-e?h:f),!isNaN(a)){var d=c[a],g=function(t,e){var r=n.bar.handleHeight;if(!(e>t[1]+r||e<t[0]-r))return e>=.9*t[1]+.1*t[0]?"n":e<=.9*t[0]+.1*t[1]?"s":"ns"}(d,e);g&&(o.interval=l[a],o.intervalPix=d,o.region=g)}}if(t.ordinal&&!o.region){var m=t.unitTickvals,y=t.unitToPaddedPx.invert(e);for(r=0;r<m.length;r++){var x=[.25*m[Math.max(r-1,0)]+.75*m[r],.25*m[Math.min(r+1,m.length-1)]+.75*m[r]];if(y>=x[0]&&y<=x[1]){o.clickableOrdinalRange=x;break}}}return o}function _(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.brush.svgBrush;a.wasDragged=!0,a._dragging=!0,a.grabbingBar?a.newExtent=[r-a.grabPoint,r+a.barLength-a.grabPoint].map(e.unitToPaddedPx.invert):a.newExtent=[a.startExtent,e.unitToPaddedPx.invert(r)].sort(s),e.brush.filterSpecified=!0,a.extent=a.stayingIntervals.concat([a.newExtent]),a.brushCallback(e),x(t.parentNode)}function w(t,e){var r=b(e,e.height-i.mouse(t)[1]-2*n.verticalPadding),a="crosshair";r.clickableOrdinalRange?a="pointer":r.region&&(a=r.region+"-resize"),i.select(document.body).style("cursor",a)}function k(t){t.on("mousemove",function(t){i.event.preventDefault(),t.parent.inBrushDrag||w(this,t)}).on("mouseleave",function(t){t.parent.inBrushDrag||m()}).call(i.behavior.drag().on("dragstart",function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=b(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar="ns"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter(function(t){return t[0]!==l[0]&&t[1]!==l[1]})),c.startExtent=s.region?l["s"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)}).on("drag",function(t){_(this,t)}).on("dragend",function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(w(t,e),_(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,m(),!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&&A(r)):A(r),a.brushCallback(e),x(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=[f(0,l,a.newExtent[0],a.stayingIntervals),f(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||A(r),a.brushCallback(e),c?x(t.parentNode,s):(s(),x(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)}))}function T(t,e){return t[0]-e[0]}function A(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function M(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 n}e.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(T)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=M(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).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t){var e=t.selectAll("."+n.cn.axisBrush).data(o,a);e.enter().append("g").classed(n.cn.axisBrush,!0),function(t){var e=t.selectAll(".background").data(o);e.enter().append("rect").classed("background",!0).call(p).call(d).style("pointer-events","auto").attr("transform","translate(0 "+n.verticalPadding+")"),e.call(k).attr("height",function(t){return t.height-n.verticalPadding});var r=t.selectAll(".highlight-shadow").data(o);r.enter().append("line").classed("highlight-shadow",!0).attr("x",-n.bar.width/2).attr("stroke-width",n.bar.width+n.bar.strokeWidth).attr("stroke",n.bar.strokeColor).attr("opacity",n.bar.strokeOpacity).attr("stroke-linecap","butt"),r.attr("y1",function(t){return t.height}).call(y);var i=t.selectAll(".highlight").data(o);i.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"),i.attr("y1",function(t){return t.height}).call(y)}(e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map(function(t){return t.sort(s)}),t=e.multiselect?M(t.sort(T)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map(function(t){var e=[f(0,r,t[0],[]),f(1,r,t[1],[])];if(e[1]>e[0])return e}).filter(function(t){return t})).length)return}return t.length>1?t:t[0]}}},{"../../lib":719,"../../lib/gup":717,"./constants":1078,d3:163}],1076:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../plots/get_data").getModuleCalcData,a=t("./plot"),o=t("../../constants/xmlns_namespaces");r.name="parcoords",r.plot=function(t){var e=i(t.calcdata,"parcoords")[0];e.length&&a(t,e)},r.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())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(".svg-container");r.filter(function(t,e){return e===r.size()-1}).selectAll(".gl-canvas-context, .gl-canvas-focus").each(function(){var t=this.toDataURL("image/png");e.append("svg:image").attr({xmlns:o.svg,"xlink:href":t,preserveAspectRatio:"none",x:0,y:0,width:this.width,height:this.height})}),window.setTimeout(function(){n.selectAll("#filterBarPattern").attr("id","filterBarPattern")},60)}},{"../../constants/xmlns_namespaces":696,"../../plots/get_data":802,"./plot":1085,d3:163}],1077:[function(t,e,r){"use strict";var n=t("../../lib").isArrayOrTypedArray,i=t("../../components/colorscale"),a=t("../../lib/gup").wrap;e.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})}},{"../../components/colorscale":605,"../../lib":719,"../../lib/gup":717}],1078:[function(t,e,r){"use strict";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:["contextLineLayer","focusLineLayer","pickLineLayer"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:"#777",bar:{width:4,captureWidth:10,fillColor:"magenta",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeColor:"white",strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:"axis-extent-text",parcoordsLineLayers:"parcoords-line-layers",parcoordsLineLayer:"parcoords-lines",parcoords:"parcoords",parcoordsControlView:"parcoords-control-view",yAxis:"y-axis",axisOverlays:"axis-overlays",axis:"axis",axisHeading:"axis-heading",axisTitle:"axis-title",axisExtent:"axis-extent",axisExtentTop:"axis-extent-top",axisExtentTopText:"axis-extent-top-text",axisExtentBottom:"axis-extent-bottom",axisExtentBottomText:"axis-extent-bottom-text",axisBrush:"axis-brush"},id:{filterBarPattern:"filter-bar-pattern"}}},{}],1079:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("../../plots/cartesian/axes"),c=t("./attributes"),u=t("./axisbrush"),h=t("./constants").maxDimensionCount,f=t("./merge_length");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var h=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:h},l.setConvert(e._ax,i.layout),a("multiselect");var f=a("constraintrange");f&&(e.constraintrange=u.cleanRanges(f,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>h&&(n.log("parcoords traces support up to "+h+" dimensions at the moment"),d.splice(h));var g=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),v=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return 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(g)&&g.length||(e.visible=!1),f(e,g,"values",v);var m={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,"labelfont",m),n.coerceFont(u,"tickfont",m),n.coerceFont(u,"rangefont",m),u("labelangle"),u("labelside")}},{"../../components/colorscale/defaults":603,"../../components/colorscale/helpers":604,"../../lib":719,"../../plots/array_container_defaults":763,"../../plots/cartesian/axes":767,"../../plots/domain":792,"./attributes":1074,"./axisbrush":1075,"./constants":1078,"./merge_length":1083}],1080:[function(t,e,r){"use strict";var n=t("../../lib").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!("visible"in t)}},{"../../lib":719}],1081:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),calc:t("./calc"),plot:t("./plot"),colorbar:{container:"line",min:"cmin",max:"cmax"},moduleType:"trace",name:"parcoords",basePlotModule:t("./base_plot"),categories:["gl","regl","noOpacity","noHover"],meta:{}}},{"./attributes":1074,"./base_plot":1076,"./calc":1077,"./defaults":1079,"./plot":1085}],1082:[function(t,e,r){"use strict";var n=t("glslify"),i=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\n               p17_20, p21_24, p25_28, p29_32,\n               p33_36, p37_40, p41_44, p45_48,\n               p49_52, p53_56, p57_60, colors;\n\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\n\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\nuniform sampler2D mask, palette;\nuniform float maskHeight;\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\nuniform vec4 contextColor;\n\nbool isPick    = (drwLayer > 1.5);\nbool isContext = (drwLayer < 0.5);\n\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\n\nfloat val(mat4 p, mat4 v) {\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\n}\n\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\n    return y1 * (1.0 - ratio) + y2 * ratio;\n}\n\nint iMod(int a, int b) {\n    return a - b * (a / b);\n}\n\nbool fOutside(float p, float lo, float hi) {\n    return (lo < hi) && (lo > p || p > hi);\n}\n\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\n    return (\n        fOutside(p[0], lo[0], hi[0]) ||\n        fOutside(p[1], lo[1], hi[1]) ||\n        fOutside(p[2], lo[2], hi[2]) ||\n        fOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\n    return (\n        vOutside(p[0], lo[0], hi[0]) ||\n        vOutside(p[1], lo[1], hi[1]) ||\n        vOutside(p[2], lo[2], hi[2]) ||\n        vOutside(p[3], lo[3], hi[3])\n    );\n}\n\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\n    return mOutside(A, loA, hiA) ||\n           mOutside(B, loB, hiB) ||\n           mOutside(C, loC, hiC) ||\n           mOutside(D, loD, hiD);\n}\n\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\n    mat4 pnts[4];\n    pnts[0] = A;\n    pnts[1] = B;\n    pnts[2] = C;\n    pnts[3] = D;\n\n    for(int i = 0; i < 4; ++i) {\n        for(int j = 0; j < 4; ++j) {\n            for(int k = 0; k < 4; ++k) {\n                if(0 == iMod(\n                    int(255.0 * texture2D(mask,\n                        vec2(\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\n                        ))[3]\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\n                    2\n                )) return true;\n            }\n        }\n    }\n    return false;\n}\n\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\n    float x = 0.5 * sign(v) + 0.5;\n    float y = axisY(x, A, B, C, D);\n    float z = 1.0 - abs(v);\n\n    z += isContext ? 0.0 : 2.0 * float(\n        outsideBoundingBox(A, B, C, D) ||\n        outsideRasterMask(A, B, C, D)\n    );\n\n    return vec4(\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\n        z,\n        1.0\n    );\n}\n\nvoid main() {\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\n\n    float v = colors[3];\n\n    gl_Position = position(isContext, v, A, B, C, D);\n\n    fragColor =\n        isContext ? vec4(contextColor) :\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\n}\n"]),a=n(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n    gl_FragColor = fragColor;\n}\n"]),o=t("./constants").maxDimensionCount,s=t("../../lib"),l=1e-6,c=2048,u=new Uint8Array(4),h=new Uint8Array(4),f={shape:[256,1],format:"rgba",type:"uint8",mag:"nearest",min:"nearest"};function p(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 d(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete 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L(t){r=t.model,n=t.viewModel,u=n.dimensions.slice(),m=u[0]?u[0].values.length:0;var e=r.lines,i=k?e.color.map(function(t,r){return r/e.color.length}):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var c=0;c<o;c++)i[a++]=c<e.length?e[c].paddedUnitValues[s]:.5;i[a++]=g(s,2),i[a++]=g(s,1),i[a++]=g(s,0),i[a++]=(n=r[s],Math.max(l,Math.min(1-l,n)))}return i}(m,u,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[y(n)](v(n/4,e,r))}(M,m,a),w||k||(S=T.texture(s.extendFlat({data:function(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}(r.unitToColor,255)},f)))}return{render:function(t,e,n){var i,a,o,s=t.length,l=1/0,h=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<l&&(l=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>h&&(h=t[i].dim1.canvasX,o=i);0===s&&p(T,0,0,r.canvasWidth,r.canvasHeight);var f=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<u.length?u[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=8*c,s=new 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T.read({x:t,y:e,width:1,height:1,data:h}),h},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style["pointer-events"]="none",S.destroy(),_&&_.destroy(),M)M[e].destroy()},update:L}}},{"../../lib":719,"./constants":1078,glslify:409}],1083:[function(t,e,r){"use strict";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],1084:[function(t,e,r){"use strict";var n=t("d3"),i=t("color-rgba"),a=t("../../plots/cartesian/axes"),o=t("../../lib"),s=t("../../lib/svg_text_utils"),l=t("../../components/drawing"),c=t("../../components/colorscale"),u=t("../../lib/gup"),h=u.keyFun,f=u.repeat,p=u.unwrap,d=t("./helpers"),g=t("./constants"),v=t("./axisbrush"),m=t("./lines");function y(t,e,r){return o.aggNums(t,null,e,r)}function x(t,e){return 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s=i[o].values,l=i[o]._ax;l&&(l.range?l.range=_(l.range[0],l.range[1]):l.range=x(s,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[o].tickformat,a.calcTicks(l),l.cleanRange())}}(e);var b,L,P=(b=!0,L=!1,{linePickActive:function(t){return arguments.length?b=!!t:b},contextShown:function(t){return arguments.length?L=!!t:L}}),O=e.filter(function(t){return p(t).trace.visible}).map(k.bind(0,r)).map(T.bind(0,P,i));y.each(function(t,e){return o.extendFlat(t,O[e])});var z=y.selectAll(".gl-canvas").each(function(t){t.viewModel=O[0],t.model=t.viewModel?t.viewModel.model:null}),I=null;z.filter(function(t){return t.pick}).style("pointer-events","auto").on("mousemove",function(t){if(P.linePickActive()&&t.lineLayer&&i&&i.hover){var e=n.event,r=this.width,a=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=a)return;var c=t.lineLayer.readPixel(s,a-1-l),u=0!==c[3],h=u?c[2]+256*(c[1]+256*c[0]):null,f={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:h};h!==I&&(u?i.hover(f):i.unhover&&i.unhover(f),I=h)}}),z.style("opacity",function(t){return t.pick?0:1}),u.style("background","rgba(255, 255, 255, 0)");var D=u.selectAll("."+g.cn.parcoords).data(O,h);D.exit().remove(),D.enter().append("g").classed(g.cn.parcoords,!0).style("shape-rendering","crispEdges").style("pointer-events","none"),D.attr("transform",function(t){return"translate("+t.model.translateX+","+t.model.translateY+")"});var R=D.selectAll("."+g.cn.parcoordsControlView).data(f,h);R.enter().append("g").classed(g.cn.parcoordsControlView,!0),R.attr("transform",function(t){return"translate("+t.model.pad.l+","+t.model.pad.t+")"});var F=R.selectAll("."+g.cn.yAxis).data(function(t){return 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s={},l={},c={},u={},h=r._size;e.forEach(function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()});n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map(function(t){return t.slice()}),s="dimensions["+n+"].constraintrange",h=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===h[s]){var f=a.constraintrange;h[s]=f||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit("plotly_restyle",[d,[u[e]]])},hover:function(e){t.emit("plotly_hover",e)},unhover:function(e){t.emit("plotly_unhover",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return o(t,e,r)-o(t,e,n)}}(r,l[e].filter(a));s[e].sort(n),l[e].filter(function(t){return!a(t)}).sort(function(t){return 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n=t("../../plots/attributes"),i=t("../../plots/domain").attributes,a=t("../../plots/font_attributes"),o=t("../../components/color/attributes"),s=t("../../components/fx/hovertemplate_attributes"),l=t("../../lib/extend").extendFlat,c=a({editType:"plot",arrayOk:!0,colorEditType:"plot"});e.exports={labels:{valType:"data_array",editType:"calc"},label0:{valType:"number",dflt:0,editType:"calc"},dlabel:{valType:"number",dflt:1,editType:"calc"},values:{valType:"data_array",editType:"calc"},marker:{colors:{valType:"data_array",editType:"calc"},line:{color:{valType:"color",dflt:o.defaultLine,arrayOk:!0,editType:"style"},width:{valType:"number",min:0,dflt:0,arrayOk:!0,editType:"style"},editType:"calc"},editType:"calc"},text:{valType:"data_array",editType:"calc"},hovertext:{valType:"string",dflt:"",arrayOk:!0,editType:"style"},scalegroup:{valType:"string",dflt:"",editType:"calc"},textinfo:{valType:"flaglist",flags:["label","text","value","percent"],extras:["none"],editType:"calc"},hoverinfo:l({},n.hoverinfo,{flags:["label","text","value","percent","name"]}),hovertemplate:s({},{keys:["label","color","value","percent","text"]}),textposition:{valType:"enumerated",values:["inside","outside","auto","none"],dflt:"auto",arrayOk:!0,editType:"plot"},textfont:l({},c,{}),insidetextfont:l({},c,{}),outsidetextfont:l({},c,{}),title:{text:{valType:"string",dflt:"",editType:"plot"},font:l({},c,{}),position:{valType:"enumerated",values:["top 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r,n=JSON.stringify(t),i=e[n];if(!i){for(i=t.slice(),r=0;r<t.length;r++)i.push(a(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)i.push(a(t[r]).darken(20).toHexString());e[n]=i}return i}e.exports={calc:function(t,e){var r,a,o=[],c=t._fullLayout,h=c.hiddenlabels||[],f=e.labels,p=e.marker.colors||[],d=e.values,g=i(d)&&d.length;if(e.dlabel)for(f=new Array(d.length),r=0;r<d.length;r++)f[r]=String(e.label0+r*e.dlabel);var v={},m=u(c["_"+e.type+"colormap"]),y=(g?d:f).length,x=0,b=!1;for(r=0;r<y;r++){var _,w,k;if(g){if(_=d[r],!n(_))continue;if((_=+_)<0)continue}else _=1;void 0!==(w=f[r])&&""!==w||(w=r);var T=v[w=String(w)];void 0===T?(v[w]=o.length,(k=-1!==h.indexOf(w))||(x+=_),o.push({v:_,label:w,color:m(p[r],w),i:r,pts:[r],hidden:k})):(b=!0,(a=o[T]).v+=_,a.pts.push(r),a.hidden||(x+=_),!1===a.color&&p[r]&&(a.color=m(p[r],w)))}("funnelarea"===e.type?b:e.sort)&&o.sort(function(t,e){return e.v-t.v}),o[0]&&(o[0].vTotal=x);var A=e.textinfo;if(A&&"none"!==A){var M,S=A.split("+"),E=function(t){return-1!==S.indexOf(t)},C=E("label"),L=E("text"),P=E("value"),O=E("percent"),z=c.separators;for(r=0;r<o.length;r++){if(a=o[r],M=C?[a.label]:[],L){var I=s.getFirstFilled(e.text,a.pts);l(I)&&M.push(I)}P&&M.push(s.formatPieValue(a.v,z)),O&&M.push(s.formatPiePercent(a.v/x,z)),a.text=M.join("<br>")}}return o},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r="pie");var n=t._fullLayout,i=t.calcdata,a=n[r+"colorway"],o=n["_"+r+"colormap"];n["extend"+r+"colors"]&&(a=h(a,c));for(var s=0,l=0;l<i.length;l++){var u=i[l];if(u[0].trace.type===r)for(var f=0;f<u.length;f++){var p=u[f];!1===p.color&&(o[p.label]?p.color=o[p.label]:(o[p.label]=p.color=a[s%a.length],s++))}}},makePullColorFn:u,generateExtendedColors:h}},{"../../components/color":593,"../../lib":719,"./helpers":1091,"fast-isnumeric":225,tinycolor2:537}],1089:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../bar/defaults").handleText;e.exports=function(t,e,r,s){function l(r,a){return n.coerce(t,e,i,r,a)}var c,u=l("values"),h=n.isArrayOrTypedArray(u),f=l("labels");if(Array.isArray(f)?(c=f.length,h&&(c=Math.min(c,u.length))):h&&(c=u.length,l("label0"),l("dlabel")),c){e._length=c,l("marker.line.width")&&l("marker.line.color"),l("marker.colors"),l("scalegroup");var p=l("text"),d=l("textinfo",Array.isArray(p)?"text+percent":"percent");if(l("hovertext"),l("hovertemplate"),d&&"none"!==d){var g=l("textposition");o(t,e,s,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,s,l);var v=l("hole");if(l("title.text")){var m=l("title.position",v?"middle center":"top center");v||"middle center"!==m||(e.title.position="top center"),n.coerceFont(l,"title.font",s.font)}l("sort"),l("direction"),l("rotation"),l("pull")}else e.visible=!1}},{"../../lib":719,"../../plots/domain":792,"../bar/defaults":861,"./attributes":1086}],1090:[function(t,e,r){"use strict";var n=t("../../components/fx/helpers").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),"funnelarea"===e.type&&(delete r.v,delete r.i),r}},{"../../components/fx/helpers":628}],1091:[function(t,e,r){"use strict";var n=t("../../lib");r.formatPiePercent=function(t,e){var r=(100*t).toPrecision(3);return-1!==r.lastIndexOf(".")&&(r=r.replace(/[.]?0+$/,"")),n.numSeparate(r,e)+"%"},r.formatPieValue=function(t,e){var r=t.toPrecision(10);return-1!==r.lastIndexOf(".")&&(r=r.replace(/[.]?0+$/,"")),n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0}},{"../../lib":719}],1092:[function(t,e,r){"use strict";e.exports={attributes:t("./attributes"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),layoutAttributes:t("./layout_attributes"),calc:t("./calc").calc,crossTraceCalc:t("./calc").crossTraceCalc,plot:t("./plot").plot,style:t("./style"),styleOne:t("./style_one"),moduleType:"trace",name:"pie",basePlotModule:t("./base_plot"),categories:["pie-like","pie","showLegend"],meta:{}}},{"./attributes":1086,"./base_plot":1087,"./calc":1088,"./defaults":1089,"./layout_attributes":1093,"./layout_defaults":1094,"./plot":1095,"./style":1096,"./style_one":1097}],1093:[function(t,e,r){"use strict";e.exports={hiddenlabels:{valType:"data_array",editType:"calc"},piecolorway:{valType:"colorlist",editType:"calc"},extendpiecolors:{valType:"boolean",dflt:!0,editType:"calc"}}},{}],1094:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("./layout_attributes");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r("hiddenlabels"),r("piecolorway",e.colorway),r("extendpiecolors")}},{"../../lib":719,"./layout_attributes":1093}],1095:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/fx"),a=t("../../components/color"),o=t("../../components/drawing"),s=t("../../lib"),l=t("../../lib/svg_text_utils"),c=t("./helpers"),u=t("./event_data");function h(t,e,r){var a=r[0],o=a.trace,l=a.cx,h=a.cy;"_hasHoverLabel"in o||(o._hasHoverLabel=!1),"_hasHoverEvent"in o||(o._hasHoverEvent=!1),t.on("mouseover",function(t){var r=e._fullLayout,f=e._fullData[o.index];if(!e._dragging&&!1!==r.hovermode){var p=f.hoverinfo;if(Array.isArray(p)&&(p=i.castHoverinfo({hoverinfo:[c.castOption(p,t.pts)],_module:o._module},r,0)),"all"===p&&(p="label+text+value+percent+name"),f.hovertemplate||"none"!==p&&"skip"!==p&&p){var d=t.rInscribed||0,g=l+t.pxmid[0]*(1-d),v=h+t.pxmid[1]*(1-d),m=r.separators,y=[];if(p&&-1!==p.indexOf("label")&&y.push(t.label),t.text=c.castOption(f.hovertext||f.text,t.pts),p&&-1!==p.indexOf("text")){var x=t.text;s.isValidTextValue(x)&&y.push(x)}t.value=t.v,t.valueLabel=c.formatPieValue(t.v,m),p&&-1!==p.indexOf("value")&&y.push(t.valueLabel),t.percent=t.v/a.vTotal,t.percentLabel=c.formatPiePercent(t.percent,m),p&&-1!==p.indexOf("percent")&&y.push(t.percentLabel);var b=f.hoverlabel,_=b.font;i.loneHover({trace:o,x0:g-d*a.r,x1:g+d*a.r,y:v,text:y.join("<br>"),name:f.hovertemplate||-1!==p.indexOf("name")?f.name:void 0,idealAlign:t.pxmid[0]<0?"left":"right",color:c.castOption(b.bgcolor,t.pts)||t.color,borderColor:c.castOption(b.bordercolor,t.pts),fontFamily:c.castOption(_.family,t.pts),fontSize:c.castOption(_.size,t.pts),fontColor:c.castOption(_.color,t.pts),nameLength:c.castOption(b.namelength,t.pts),textAlign:c.castOption(b.align,t.pts),hovertemplate:c.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[u(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),o._hasHoverLabel=!0}o._hasHoverEvent=!0,e.emit("plotly_hover",{points:[u(t,f)],event:n.event})}}),t.on("mouseout",function(t){var r=e._fullLayout,a=e._fullData[o.index],s=n.select(this).datum();o._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[u(s,a)],event:n.event}),o._hasHoverEvent=!1),o._hasHoverLabel&&(i.loneUnhover(r._hoverlayer.node()),o._hasHoverLabel=!1)}),t.on("click",function(t){var r=e._fullLayout,a=e._fullData[o.index];e._dragging||!1===r.hovermode||(e._hoverdata=[u(t,a)],i.click(e,n.event))})}function f(t,e,r){var n=c.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=c.castOption(t._input.textfont.color,e.pts));var i=c.castOption(t.insidetextfont.family,e.pts)||c.castOption(t.textfont.family,e.pts)||r.family,o=c.castOption(t.insidetextfont.size,e.pts)||c.castOption(t.textfont.size,e.pts)||r.size;return{color:n||a.contrast(e.color),family:i,size:o}}function p(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=s.templateString(a,n._meta));var c=o.tester.append("text").attr("data-notex",1).text(a).call(o.font,n.title.font).call(l.convertToTspans,e),u=o.bBox(c.node(),!0);r.titleBox={width:u.width,height:u.height},c.remove()}}function d(t,e,r){var n=Math.sqrt(t.width*t.width+t.height*t.height),i=t.width/t.height,a=e.halfangle,o=e.ring,s=e.rInscribed,l=r.r||e.rpx1,c={scale:s*l*2/n,rCenter:1-s,rotate:0};if(c.scale>=1)return c;var u=i+1/(2*Math.tan(a)),h=l*Math.min(1/(Math.sqrt(u*u+.5)+u),o/(Math.sqrt(i*i+o/2)+i)),f={scale:2*h/t.height,rCenter:Math.cos(h/l)-h*i/l,rotate:(180/Math.PI*e.midangle+720)%180-90},p=1/i,d=p+1/(2*Math.tan(a)),g=l*Math.min(1/(Math.sqrt(d*d+.5)+d),o/(Math.sqrt(p*p+o/2)+p)),v={scale:2*g/t.width,rCenter:Math.cos(g/l)-g/i/l,rotate:(180/Math.PI*e.midangle+810)%180-90},m=v.scale>f.scale?v:f;return c.scale<1&&m.scale>c.scale?m:c}function g(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function v(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 m(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=x(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,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),h=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf("left")?(h+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf("center")?h*=2:-1!==a.title.position.indexOf("right")&&(h+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=h/t.titleBox.width,n=y(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function y(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 x(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function b(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-=y(i,e));var c=s/2,u=l/2;"funnelarea"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+x(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-=y(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(r=t[n][0],(i=r.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?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.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)}e.exports={plot:function(t,e){var r=t._fullLayout;p(e,t),b(e,r._size);var i=s.makeTraceGroups(r._pielayer,e,"trace").each(function(e){var i=n.select(this),u=e[0],p=u.trace;!function(t){var e,r,n,i=t[0],a=i.trace,o=a.rotation*Math.PI/180,s=2*Math.PI/i.vTotal,l="px0",c="px1";if("counterclockwise"===a.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;o+=s*t[e].v,s*=-1,l="px1",c="px0"}function u(t){return[i.r*Math.sin(t),-i.r*Math.cos(t)]}for(n=u(o),e=0;e<t.length;e++)(r=t[e]).hidden||(r[l]=n,o+=s*r.v/2,r.pxmid=u(o),r.midangle=o,o+=s*r.v/2,n=u(o),r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-a.hole,r.rInscribed=g(r,i))}(e),i.attr("stroke-linejoin","round"),i.each(function(){var i=n.select(this).selectAll("g.slice").data(e);i.enter().append("g").classed("slice",!0),i.exit().remove();var g=[[[],[]],[[],[]]],y=!1;i.each(function(r){if(r.hidden)n.select(this).selectAll("path,g").remove();else{r.pointNumber=r.i,r.curveNumber=p.index,g[r.pxmid[1]<0?0:1][r.pxmid[0]<0?0:1].push(r);var i=u.cx,a=u.cy,m=n.select(this),x=m.selectAll("path.surface").data([r]);if(x.enter().append("path").classed("surface",!0).style({"pointer-events":"all"}),m.call(h,t,e),p.pull){var b=+c.castOption(p.pull,r.pts)||0;b>0&&(i+=b*r.pxmid[0],a+=b*r.pxmid[1])}r.cxFinal=i,r.cyFinal=a;var _=p.hole;if(r.v===u.vTotal){var w="M"+(i+r.px0[0])+","+(a+r.px0[1])+S(r.px0,r.pxmid,!0,1)+S(r.pxmid,r.px0,!0,1)+"Z";_?x.attr("d","M"+(i+_*r.px0[0])+","+(a+_*r.px0[1])+S(r.px0,r.pxmid,!1,_)+S(r.pxmid,r.px0,!1,_)+"Z"+w):x.attr("d",w)}else{var k=S(r.px0,r.px1,!0,1);if(_){var T=1-_;x.attr("d","M"+(i+_*r.px1[0])+","+(a+_*r.px1[1])+S(r.px1,r.px0,!1,_)+"l"+T*r.px0[0]+","+T*r.px0[1]+k+"Z")}else x.attr("d","M"+i+","+a+"l"+r.px0[0]+","+r.px0[1]+k+"Z")}var A=c.castOption(p.textposition,r.pts),M=m.selectAll("g.slicetext").data(r.text&&"none"!==A?[0]:[]);M.enter().append("g").classed("slicetext",!0),M.exit().remove(),M.each(function(){var e=s.ensureSingle(n.select(this),"text","",function(t){t.attr("data-notex",1)});e.text(r.text).attr({class:"slicetext",transform:"","text-anchor":"middle"}).call(o.font,"outside"===A?function(t,e,r){var n=c.castOption(t.outsidetextfont.color,e.pts)||c.castOption(t.textfont.color,e.pts)||r.color,i=c.castOption(t.outsidetextfont.family,e.pts)||c.castOption(t.textfont.family,e.pts)||r.family,a=c.castOption(t.outsidetextfont.size,e.pts)||c.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(p,r,t._fullLayout.font):f(p,r,t._fullLayout.font)).call(l.convertToTspans,t);var h,g=o.bBox(e.node());"outside"===A?h=v(g,r):(h=d(g,r,u),"auto"===A&&h.scale<1&&(e.call(o.font,p.outsidetextfont),p.outsidetextfont.family===p.insidetextfont.family&&p.outsidetextfont.size===p.insidetextfont.size||(g=o.bBox(e.node())),h=v(g,r)));var m=i+r.pxmid[0]*h.rCenter+(h.x||0),x=a+r.pxmid[1]*h.rCenter+(h.y||0);h.outside&&(r.yLabelMin=x-g.height/2,r.yLabelMid=x,r.yLabelMax=x+g.height/2,r.labelExtraX=0,r.labelExtraY=0,y=!0),e.attr("transform","translate("+m+","+x+")"+(h.scale<1?"scale("+h.scale+")":"")+(h.rotate?"rotate("+h.rotate+")":"")+"translate("+-(g.left+g.right)/2+","+-(g.top+g.bottom)/2+")")})}function S(t,e,n,i){var a=i*(e[0]-t[0]),o=i*(e[1]-t[1]);return"a"+i*u.r+","+i*u.r+" 0 "+r.largeArc+(n?" 1 ":" 0 ")+a+","+o}});var x=n.select(this).selectAll("g.titletext").data(p.title.text?[0]:[]);x.enter().append("g").classed("titletext",!0),x.exit().remove(),x.each(function(){var e,i=s.ensureSingle(n.select(this),"text","",function(t){t.attr("data-notex",1)}),a=p.title.text;p._meta&&(a=s.templateString(a,p._meta)),i.text(a).attr({class:"titletext",transform:"","text-anchor":"middle"}).call(o.font,p.title.font).call(l.convertToTspans,t),e="middle center"===p.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(u):m(u,r._size),i.attr("transform","translate("+e.x+","+e.y+")"+(e.scale<1?"scale("+e.scale+")":"")+"translate("+e.tx+","+e.ty+")")}),y&&function(t,e){var r,n,i,a,o,s,l,u,h,f,p,d,g;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,u,h,p,d,g,v=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,x=t.cyFinal+o(t.px0[1],t.px1[1]),b=v-m;if(b*l>0&&(t.labelExtraY=b),Array.isArray(e.pull))for(u=0;u<f.length;u++)(h=f[u])===t||(c.castOption(e.pull,t.pts)||0)>=(c.castOption(e.pull,h.pts)||0)||((t.pxmid[1]-h.pxmid[1])*l>0?(p=h.cyFinal+o(h.px0[1],h.px1[1]),(b=p-m-t.labelExtraY)*l>0&&(t.labelExtraY+=b)):(y+t.labelExtraY-x)*l>0&&(i=3*s*Math.abs(u-f.indexOf(t)),d=h.cxFinal+a(h.px0[0],h.px1[0]),(g=d+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=g)))}for(n=0;n<2;n++)for(i=n?v:m,o=n?Math.max:Math.min,l=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(g=!1,p=0;n&&p<h.length;p++)if(void 0!==h[p].yLabelMid){g=h[p];break}for(p=0;p<d.length;p++){var x=p&&d[p-1];g&&!p&&(x=g),y(d[p],x)}}}(g,p),function(t,e){t.each(function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select("g.slicetext text");i.attr("transform","translate("+t.labelExtraX+","+t.labelExtraY+")"+i.attr("transform"));var o=t.cxFinal+t.pxmid[0],l=t.cyFinal+t.pxmid[1],c="M"+o+","+l,u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var h=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(h)>Math.abs(f)?c+="l"+f*t.pxmid[0]/t.pxmid[1]+","+f+"H"+(o+t.labelExtraX+u):c+="l"+t.labelExtraX+","+h+"v"+(f-h)+"h"+u}else c+="V"+(t.yLabelMid+t.labelExtraY)+"h"+u;s.ensureSingle(r,"path","textline").call(a.stroke,e.outsidetextfont.color).attr({"stroke-width":Math.min(2,e.outsidetextfont.size/8),d:c,fill:"none"})}else r.select("path.textline").remove()})}(i,p)})});setTimeout(function(){i.selectAll("tspan").each(function(){var t=n.select(this);t.attr("dy")&&t.attr("dy",t.attr("dy"))})},0)},transformInsideText:d,determineInsideTextFont:f,positionTitleOutside:m,prerenderTitles:p,layoutAreas:b,attachFxHandlers:h}},{"../../components/color":593,"../../components/drawing":614,"../../components/fx":632,"../../lib":719,"../../lib/svg_text_utils":743,"./event_data":1090,"./helpers":1091,d3:163}],1096:[function(t,e,r){"use strict";var n=t("d3"),i=t("./style_one");e.exports=function(t){t._fullLayout._pielayer.selectAll(".trace").each(function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll("path.surface").each(function(t){n.select(this).call(i,t,e)})})}},{"./style_one":1097,d3:163}],1097:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("./helpers").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style("stroke-width",s).call(n.fill,e.color).call(n.stroke,o)}},{"../../components/color":593,"./helpers":1091}],1098:[function(t,e,r){"use strict";var n=t("../scatter/attributes");e.exports={x:n.x,y:n.y,xy:{valType:"data_array",editType:"calc"},indices:{valType:"data_array",editType:"calc"},xbounds:{valType:"data_array",editType:"calc"},ybounds:{valType:"data_array",editType:"calc"},text:n.text,marker:{color:{valType:"color",arrayOk:!1,editType:"calc"},opacity:{valType:"number",min:0,max:1,dflt:1,arrayOk:!1,editType:"calc"},blend:{valType:"boolean",dflt:null,editType:"calc"},sizemin:{valType:"number",min:.1,max:2,dflt:.5,editType:"calc"},sizemax:{valType:"number",min:.1,dflt:20,editType:"calc"},border:{color:{valType:"color",arrayOk:!1,editType:"calc"},arearatio:{valType:"number",min:0,max:1,dflt:0,editType:"calc"},editType:"calc"},editType:"calc"},transforms:void 0}},{"../scatter/attributes":1112}],1099:[function(t,e,r){"use strict";var n=t("gl-pointcloud2d"),i=t("../../lib/str2rgbarray"),a=t("../../plots/cartesian/autorange").findExtremes,o=t("../scatter/get_trace_color");function s(t,e){this.scene=t,this.uid=e,this.type="pointcloud",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color="rgb(0, 0, 0)",this.name="",this.hoverinfo="all",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,h=this.pickXYData=t.xy,f=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(h){if(n=h,e=h.length>>>1,f)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),v=i(t.marker.border.color),m=t.opacity*t.marker.opacity;g[3]*=m,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,v[3]*=m,this.pointcloudOptions.borderColor=v;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,k=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:k}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:k})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return 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n="bgsankey-"+e.trace.uid+"-"+r;h.ensureSingle(t._fullLayout._draggers,"rect",n),t._fullData[r]._bgRect=i.select("."+n),t._fullData[r]._bgRect.style("pointer-events","all").attr("width",e.width).attr("height",e.height).attr("x",e.translateX).attr("y",e.translateY).classed("bgsankey",!0).style({fill:"transparent","stroke-width":0})}),_.transition().ease(n.ease).duration(n.duration).attr("transform",T);var z=_.selectAll("."+n.cn.sankeyLinks).data(d,p);z.enter().append("g").classed(n.cn.sankeyLinks,!0).style("fill","none");var I=z.selectAll("."+n.cn.sankeyLink).data(function(t){return t.graph.links.filter(function(t){return t.value}).map(function(t,e,r){var n=a(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return 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t._context.staticPlot||v||m?1:0}).transition().ease(n.ease).duration(n.duration).style("opacity",1),I.exit().transition().ease(n.ease).duration(n.duration).style("opacity",0).remove();var D=_.selectAll("."+n.cn.sankeyNodeSet).data(d,p);D.enter().append("g").classed(n.cn.sankeyNodeSet,!0),D.style("cursor",function(t){switch(t.arrangement){case"fixed":return"default";case"perpendicular":return"ns-resize";default:return"move"}});var R=D.selectAll("."+n.cn.sankeyNode).data(function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort(function(t,e){return t-e}),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(function(t,e){var r=a(e.color),i=n.nodePadAcross,s=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var l=e.dx,c=Math.max(.5,e.dy),u="node_"+e.pointNumber;return e.group&&(u=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:u,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(l),visibleHeight:c,zoneX:-i,zoneY:-s,zoneWidth:l+2*i,zoneHeight:c+2*s,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:o.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,u].join("_"),interactionState:t.interactionState,figure:t}}.bind(null,t))},p);R.enter().append("g").classed(n.cn.sankeyNode,!0).call(x).style("opacity",function(e){return!t._context.staticPlot&&!v||e.partOfGroup?0:1}),R.call(P,_,f.nodeEvents).call(O,I,f,t),R.transition().ease(n.ease).duration(n.duration).call(x).style("opacity",function(t){return t.partOfGroup?0:1}),R.exit().transition().ease(n.ease).duration(n.duration).style("opacity",0).remove();var F=R.selectAll("."+n.cn.nodeRect).data(d);F.enter().append("rect").classed(n.cn.nodeRect,!0).call(w),F.style("stroke-width",function(t){return t.nodeLineWidth}).style("stroke",function(t){return o.tinyRGB(a(t.nodeLineColor))}).style("stroke-opacity",function(t){return o.opacity(t.nodeLineColor)}).style("fill",function(t){return t.tinyColorHue}).style("fill-opacity",function(t){return t.tinyColorAlpha}),F.transition().ease(n.ease).duration(n.duration).call(w);var B=R.selectAll("."+n.cn.nodeCapture).data(d);B.enter().append("rect").classed(n.cn.nodeCapture,!0).style("fill-opacity",0),B.attr("x",function(t){return t.zoneX}).attr("y",function(t){return t.zoneY}).attr("width",function(t){return t.zoneWidth}).attr("height",function(t){return t.zoneHeight});var 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n=t("../../components/fx/hovertemplate_attributes"),i=t("../../components/colorscale/attributes"),a=t("../../plots/font_attributes"),o=t("../../components/drawing/attributes").dash,s=t("../../components/drawing"),l=t("./constants"),c=t("../../lib/extend").extendFlat;e.exports={x:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},x0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dx:{valType:"number",dflt:1,editType:"calc",anim:!0},y:{valType:"data_array",editType:"calc+clearAxisTypes",anim:!0},y0:{valType:"any",dflt:0,editType:"calc+clearAxisTypes",anim:!0},dy:{valType:"number",dflt:1,editType:"calc",anim:!0},stackgroup:{valType:"string",dflt:"",editType:"calc"},orientation:{valType:"enumerated",values:["v","h"],editType:"calc"},groupnorm:{valType:"enumerated",values:["","fraction","percent"],dflt:"",editType:"calc"},stackgaps:{valType:"enumerated",values:["infer zero","interpolate"],dflt:"infer 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y={padded:!0},x={padded:!0};l&&(y.ppad=x.ppad=l);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&("tozerox"===m||"tonextx"===m&&(p||"h"===v))?y.tozero=!0:(e.error_y||{}).visible||"tonexty"!==m&&"tozeroy"!==m&&(s.hasMarkers(e)||s.hasText(e))||(y.padded=!1,y.ppad=0),b&&("tozeroy"===m||"tonexty"===m&&(p||"v"===v))?x.tozero=!0:"tonextx"!==m&&"tozerox"!==m||(x.padded=!1),h&&(e._extremes[h]=a.findExtremes(r,i,y)),f&&(e._extremes[f]=a.findExtremes(n,o,x))}function f(t,e){if(s.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var l={type:"linear"};a.setConvert(l);for(var c=l.makeCalcdata(t.marker,"size"),u=new Array(e),h=0;h<e;h++)u[h]=r(c[h]);return u}return r(n.size)}}function p(t,e){var r=d(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function d(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function g(t,e,r,n){var 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n=t("../../components/colorscale/helpers").hasColorscale,i=t("../../components/colorscale/calc"),a=t("./subtypes");e.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"}))}},{"../../components/colorscale/calc":601,"../../components/colorscale/helpers":604,"./subtypes":1135}],1116:[function(t,e,r){"use strict";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],1117:[function(t,e,r){"use strict";var n=t("./calc");function i(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 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n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("./constants"),s=t("./subtypes"),l=t("./xy_defaults"),c=t("./stack_defaults"),u=t("./marker_defaults"),h=t("./line_defaults"),f=t("./line_shape_defaults"),p=t("./text_defaults"),d=t("./fillcolor_defaults");e.exports=function(t,e,r,g){function v(r,i){return n.coerce(t,e,a,r,i)}var m=l(t,e,g,v);if(m||(e.visible=!1),e.visible){var y=c(t,e,g,v),x=!y&&m<o.PTS_LINESONLY?"lines+markers":"lines";v("text"),v("hovertext"),v("mode",x),s.hasLines(e)&&(h(t,e,r,g,v),f(t,e,v),v("connectgaps"),v("line.simplify")),s.hasMarkers(e)&&u(t,e,r,g,v,{gradient:!0}),s.hasText(e)&&p(t,e,g,v);var b=[];(s.hasMarkers(e)||s.hasText(e))&&(v("cliponaxis"),v("marker.maxdisplayed"),b.push("points")),v("fill",y?y.fillDflt:"none"),"none"!==e.fill&&(d(t,e,r,v),s.hasLines(e)||f(t,e,v));var 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n=t("../../components/color"),i=t("./subtypes");e.exports=function(t,e){var r,a;if("lines"===t.mode)return(r=t.line.color)&&n.opacity(r)?r:t.fillcolor;if("none"===t.mode)return t.fill?t.fillcolor:"";var o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return(a=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:"")?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color)&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor}},{"../../components/color":593,"./subtypes":1135}],1122:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/fx"),a=t("../../registry"),o=t("./get_trace_color"),s=t("../../components/color"),l=n.fillText;e.exports=function(t,e,r,c){var u=t.cd,h=u[0].trace,f=t.xa,p=t.ya,d=f.c2p(e),g=p.c2p(r),v=[d,g],m=h.hoveron||"",y=-1!==h.mode.indexOf("markers")?3:.5;if(-1!==m.indexOf("points")){var x=function(t){var e=Math.max(y,t.mrc||0),r=f.c2p(t.x)-d,n=p.c2p(t.y)-g;return 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n=e[0].trace;n.selectedpoints?(i.selectedPointStyle(r.selectAll("path.point"),n),i.selectedTextStyle(r.selectAll("text"),n)):(o(r,n,t),s(r,n,t))}}},{"../../components/drawing":614,"../../registry":847,d3:163}],1135:[function(t,e,r){"use strict";var n=t("../../lib");e.exports={hasLines:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf("lines")},hasMarkers:function(t){return t.visible&&(t.mode&&-1!==t.mode.indexOf("markers")||"splom"===t.type)},hasText:function(t){return t.visible&&t.mode&&-1!==t.mode.indexOf("text")},isBubble:function(t){return n.isPlainObject(t.marker)&&n.isArrayOrTypedArray(t.marker.size)}}},{"../../lib":719}],1136:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e,r,i,a){a=a||{},i("textposition"),n.coerceFont(i,"textfont",r.font),a.noSelect||(i("selected.textfont.color"),i("unselected.textfont.color"))}},{"../../lib":719}],1137:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry");e.exports=function(t,e,r,a){var o,s=a("x"),l=a("y");if(i.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y"],r),s){var c=n.minRowLength(s);l?o=Math.min(c,n.minRowLength(l)):(o=c,a("y0"),a("dy"))}else{if(!l)return 0;o=n.minRowLength(l),a("x0"),a("dx")}return e._length=o,o}},{"../../lib":719,"../../registry":847}],1138:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../components/colorscale/attributes"),a=t("../../components/fx/hovertemplate_attributes"),o=t("../../plots/attributes"),s=t("../../constants/gl3d_dashes"),l=t("../../constants/gl3d_markers"),c=t("../../lib/extend").extendFlat,u=t("../../plot_api/edit_types").overrideAll,h=n.line,f=n.marker,p=f.line,d=c({width:h.width,dash:{valType:"enumerated",values:Object.keys(s),dflt:"solid"}},i("line"));var g=e.exports=u({x:n.x,y:n.y,z:{valType:"data_array"},text:c({},n.text,{}),hovertext:c({},n.hovertext,{}),hovertemplate:a(),mode:c({},n.mode,{dflt:"lines+markers"}),surfaceaxis:{valType:"enumerated",values:[-1,0,1,2],dflt:-1},surfacecolor:{valType:"color"},projection:{x:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},y:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}},z:{show:{valType:"boolean",dflt:!1},opacity:{valType:"number",min:0,max:1,dflt:1},scale:{valType:"number",min:0,max:10,dflt:2/3}}},connectgaps:n.connectgaps,line:d,marker:c({symbol:{valType:"enumerated",values:Object.keys(l),dflt:"circle",arrayOk:!0},size:c({},f.size,{dflt:8}),sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode,opacity:c({},f.opacity,{arrayOk:!1}),colorbar:f.colorbar,line:c({width:c({},p.width,{arrayOk:!1})},i("marker.line"))},i("marker")),textposition:c({},n.textposition,{dflt:"top 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l=a(+t[s],s);if("log"===i.type){var c=i.c2l(t[s]),u=t[s]-l[0],h=t[s]+l[1];if(o[s]=[(i.c2l(u,!0)-c)*r,(i.c2l(h,!0)-c)*r],u>0){var f=i.c2l(u);i._lowerLogErrorBound||(i._lowerLogErrorBound=f),i._lowerErrorBound=Math.min(i._lowerLogErrorBound,f)}}else o[s]=[-l[0]*r,l[1]*r]}return o}e.exports=function(t,e,r){var n=[i(t.x,t.error_x,e[0],r.xaxis),i(t.y,t.error_y,e[1],r.yaxis),i(t.z,t.error_z,e[2],r.zaxis)],a=function(t){for(var e=0;e<t.length;e++)if(t[e])return t[e].length;return 0}(n);if(0===a)return null;for(var o=new Array(a),s=0;s<a;s++){for(var l=[[0,0,0],[0,0,0]],c=0;c<3;c++)if(n[c])for(var u=0;u<2;u++)l[u][c]=n[c][s][u];o[s]=l}return o}},{"../../registry":847}],1141:[function(t,e,r){"use strict";var n=t("gl-line3d"),i=t("gl-scatter3d"),a=t("gl-error3d"),o=t("gl-mesh3d"),s=t("delaunay-triangulate"),l=t("../../lib"),c=t("../../lib/str2rgbarray"),u=t("../../lib/gl_format_color").formatColor,h=t("../scatter/make_bubble_size_func"),f=t("../../constants/gl3d_dashes"),p=t("../../constants/gl3d_markers"),d=t("./calc_errors");function g(t,e){this.scene=t,this.uid=e,this.linePlot=null,this.scatterPlot=null,this.errorBars=null,this.textMarkers=null,this.delaunayMesh=null,this.color=null,this.mode="",this.dataPoints=[],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.textLabels=null,this.data=null}var v=g.prototype;function m(t){return null==t?0:t.indexOf("left")>-1?-1:t.indexOf("right")>-1?1:0}function y(t){return null==t?0:t.indexOf("top")>-1?-1:t.indexOf("bottom")>-1?1:0}function x(t,e){return e(4*t)}function b(t){return p[t]}function _(t,e,r,n,i){var a=null;if(l.isArrayOrTypedArray(t)){a=[];for(var o=0;o<e;o++)void 0===t[o]?a[o]=n:a[o]=r(t[o],i)}else a=r(t,l.identity);return 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e}(e.textposition),a.textColor=u(e.textfont,1,C),a.textSize=_(e.textfont.size,C,l.identity,12),a.textFont=e.textfont.family,a.textAngle=0);var I=["x","y","z"];for(a.project=[!1,!1,!1],a.projectScale=[1,1,1],a.projectOpacity=[1,1,1],o=0;o<3;++o){var D=e.projection[I[o]];(a.project[o]=D.show)&&(a.projectOpacity[o]=D.opacity,a.projectScale[o]=D.scale)}a.errorBounds=d(e,g,p);var R=function(t){for(var e=[0,0,0],r=[[0,0,0],[0,0,0],[0,0,0]],n=[1,1,1],i=0;i<3;i++){var a=t[i];a&&!1!==a.copy_zstyle&&!1!==t[2].visible&&(a=t[2]),a&&a.visible&&(e[i]=a.width/2,r[i]=c(a.color),n[i]=a.thickness)}return{capSize:e,color:r,lineWidth:n}}([e.error_x,e.error_y,e.error_z]);return a.errorColor=R.color,a.errorLineWidth=R.lineWidth,a.errorCapSize=R.capSize,a.delaunayAxis=e.surfaceaxis,a.delaunayColor=c(e.surfacecolor),a}function k(t){if(Array.isArray(t)){var e=t[0];return Array.isArray(e)&&(t=e),"rgb("+t.slice(0,3).map(function(t){return Math.round(255*t)})+")"}return null}v.handlePick=function(t){if(t.object&&(t.object===this.linePlot||t.object===this.delaunayMesh||t.object===this.textMarkers||t.object===this.scatterPlot)){var e=t.index=t.data.index;return t.object.highlight&&t.object.highlight(null),this.scatterPlot&&(t.object=this.scatterPlot,this.scatterPlot.highlight(t.data)),t.textLabel="",this.textLabels&&(Array.isArray(this.textLabels)?(this.textLabels[e]||0===this.textLabels[e])&&(t.textLabel=this.textLabels[e]):t.textLabel=this.textLabels),t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]],!0}},v.update=function(t){var e,r,l,c,u=this.scene.glplot.gl,h=f.solid;this.data=t;var p=w(this.scene,t);"mode"in p&&(this.mode=p.mode),"lineDashes"in p&&p.lineDashes in f&&(h=f[p.lineDashes]),this.color=k(p.scatterColor)||k(p.lineColor),this.dataPoints=p.position,e={gl:this.scene.glplot.gl,position:p.position,color:p.lineColor,lineWidth:p.lineWidth||1,dashes:h[0],dashScale:h[1],opacity:t.opacity,connectGaps:t.connectgaps},-1!==this.mode.indexOf("lines")?this.linePlot?this.linePlot.update(e):(this.linePlot=n(e),this.linePlot._trace=this,this.scene.glplot.add(this.linePlot)):this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose(),this.linePlot=null);var d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf("markers")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf("text")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var h=u[n],f=0;f<h.length;++f)h[f]=l[h[f]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},v.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new g(t,e.uid);return r.update(e),r}},{"../../constants/gl3d_dashes":692,"../../constants/gl3d_markers":693,"../../lib":719,"../../lib/gl_format_color":716,"../../lib/str2rgbarray":742,"../scatter/make_bubble_size_func":1128,"./calc_errors":1140,"delaunay-triangulate":165,"gl-error3d":247,"gl-line3d":255,"gl-mesh3d":280,"gl-scatter3d":297}],1142:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/text_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r("x"),s=r("y"),l=r("z");n.getComponentMethod("calendars","handleTraceDefaults")(t,e,["x","y","z"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return a}(t,e,h,u)){h("text"),h("hovertext"),h("hovertemplate"),h("mode"),a.hasLines(e)&&(h("connectgaps"),s(t,e,r,u,h)),a.hasMarkers(e)&&o(t,e,r,u,h,{noSelect:!0}),a.hasText(e)&&l(t,e,u,h,{noSelect:!0});var f=(e.line||{}).color,p=(e.marker||{}).color;h("surfaceaxis")>=0&&h("surfacecolor",f||p);for(var d=["x","y","z"],g=0;g<3;++g){var v="projection."+d[g];h(v+".show")&&(h(v+".opacity"),h(v+".scale"))}var m=n.getComponentMethod("errorbars","supplyDefaults");m(t,e,f||p||r,{axis:"z"}),m(t,e,f||p||r,{axis:"y",inherit:"z"}),m(t,e,f||p||r,{axis:"x",inherit:"z"})}else e.visible=!1}},{"../../lib":719,"../../registry":847,"../scatter/line_defaults":1124,"../scatter/marker_defaults":1130,"../scatter/subtypes":1135,"../scatter/text_defaults":1136,"./attributes":1138}],1143:[function(t,e,r){"use strict";e.exports={plot:t("./convert"),attributes:t("./attributes"),markerSymbols:t("../../constants/gl3d_markers"),supplyDefaults:t("./defaults"),colorbar:[{container:"marker",min:"cmin",max:"cmax"},{container:"line",min:"cmin",max:"cmax"}],calc:t("./calc"),moduleType:"trace",name:"scatter3d",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","symbols","showLegend"],meta:{}}},{"../../constants/gl3d_markers":693,"../../plots/gl3d":807,"./attributes":1138,"./calc":1139,"./convert":1141,"./defaults":1142}],1144:[function(t,e,r){"use strict";var n=t("../scatter/attributes"),i=t("../../plots/attributes"),a=t("../../components/fx/hovertemplate_attributes"),o=t("../../components/colorscale/attributes"),s=t("../../lib/extend").extendFlat,l=n.marker,c=n.line,u=l.line;e.exports={carpet:{valType:"string",editType:"calc"},a:{valType:"data_array",editType:"calc"},b:{valType:"data_array",editType:"calc"},mode:s({},n.mode,{dflt:"markers"}),text:s({},n.text,{}),hovertext:s({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,shape:s({},c.shape,{values:["linear","spline"]}),smoothing:c.smoothing,editType:"calc"},connectgaps:n.connectgaps,fill:s({},n.fill,{values:["none","toself","tonext"],dflt:"none"}),fillcolor:n.fillcolor,marker:s({symbol:l.symbol,opacity:l.opacity,maxdisplayed:l.maxdisplayed,size:l.size,sizeref:l.sizeref,sizemin:l.sizemin,sizemode:l.sizemode,line:s({width:u.width,editType:"calc"},o("marker.line")),gradient:l.gradient,editType:"calc"},o("marker")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:s({},i.hoverinfo,{flags:["a","b","text","name"]}),hoveron:n.hoveron,hovertemplate:a()}},{"../../components/colorscale/attributes":600,"../../components/fx/hovertemplate_attributes":631,"../../lib/extend":710,"../../plots/attributes":764,"../scatter/attributes":1112}],1145:[function(t,e,r){"use 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n=t("../../lib"),i=t("../scatter/constants"),a=t("../scatter/subtypes"),o=t("../scatter/marker_defaults"),s=t("../scatter/line_defaults"),l=t("../scatter/line_shape_defaults"),c=t("../scatter/text_defaults"),u=t("../scatter/fillcolor_defaults"),h=t("./attributes");e.exports=function(t,e,r,f){function p(r,i){return n.coerce(t,e,h,r,i)}p("carpet"),e.xaxis="x",e.yaxis="y";var d=p("a"),g=p("b"),v=Math.min(d.length,g.length);if(v){e._length=v,p("text"),p("hovertext"),p("mode",v<i.PTS_LINESONLY?"lines+markers":"lines"),a.hasLines(e)&&(s(t,e,r,f,p),l(t,e,p),p("connectgaps")),a.hasMarkers(e)&&o(t,e,r,f,p,{gradient:!0}),a.hasText(e)&&c(t,e,f,p);var m=[];(a.hasMarkers(e)||a.hasText(e))&&(p("marker.maxdisplayed"),m.push("points")),p("fill"),"none"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),"tonext"!==e.fill&&"toself"!==e.fill||m.push("fills"),"fills"!==p("hoveron",m.join("+")||"points")&&p("hovertemplate"),n.coerceSelectionMarkerOpacity(e,p)}else 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i=e.hi||t.hoverinfo,a="all"===i?l.hoverinfo.flags:i.split("+"),o=-1!==a.indexOf("location")&&Array.isArray(t.locations),c=-1!==a.indexOf("lon"),u=-1!==a.indexOf("lat"),h=-1!==a.indexOf("text"),f=[];function p(t){return t+"\xb0"}o?f.push(e.loc):c&&u?f.push("("+p(r.lonLabel)+", "+p(r.latLabel)+")"):c?f.push(n.lon+p(r.lonLabel)):u&&f.push(n.lat+p(r.latLabel));h&&s(e,t,f);return f.join("<br>")}(u,v,t,c[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}}},{"../../components/fx":632,"../../constants/numerical":695,"../../lib":719,"../../plots/cartesian/axes":767,"../scatter/get_trace_color":1121,"./attributes":1151}],1156:[function(t,e,r){"use 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strict";e.exports={TOO_MANY_POINTS:1e5,SYMBOL_SDF_SIZE:200,SYMBOL_SIZE:20,SYMBOL_STROKE:1,DOT_RE:/-dot/,OPEN_RE:/-open/,DASHES:{solid:[1],dot:[1,1],dash:[4,1],longdash:[8,1],dashdot:[4,1,1,1],longdashdot:[8,1,1,1]}}},{}],1163:[function(t,e,r){"use strict";var n=t("fast-isnumeric"),i=t("svg-path-sdf"),a=t("color-normalize"),o=t("../../registry"),s=t("../../lib"),l=t("../../components/drawing"),c=t("../../plots/cartesian/axis_ids"),u=t("../../lib/gl_format_color").formatColor,h=t("../scatter/subtypes"),f=t("../scatter/make_bubble_size_func"),p=t("./constants"),d=t("../../constants/interactions").DESELECTDIM,g={start:1,left:1,end:-1,right:-1,middle:0,center:0,bottom:1,top:-1};function v(t){var e,r=t._length,i=t.textfont,a=t.textposition,o=Array.isArray(a)?a:[a],s=i.color,l=i.size,c=i.family,u={};for(u.text=t.text,u.opacity=t.opacity,u.font={},u.align=[],u.baseline=[],e=0;e<o.length;e++){var h=o[e].split(/\s+/);switch(h[1]){case"left":u.align.push("right");break;case"right":u.align.push("left");break;default:u.align.push(h[1])}switch(h[0]){case"top":u.baseline.push("bottom");break;case"bottom":u.baseline.push("top");break;default:u.baseline.push(h[0])}}if(Array.isArray(s))for(u.color=new Array(r),e=0;e<r;e++)u.color[e]=s[e];else u.color=s;if(Array.isArray(l)||Array.isArray(c))for(u.font=new Array(r),e=0;e<r;e++){var f=u.font[e]={};f.size=Array.isArray(l)?n(l[e])?l[e]:0:l,f.family=Array.isArray(c)?c[e]:c}else u.font={size:l,family:c};return u}function m(t){var e,r,n=t._length,i=t.marker,o={},l=Array.isArray(i.symbol),c=s.isArrayOrTypedArray(i.color),h=s.isArrayOrTypedArray(i.line.color),d=s.isArrayOrTypedArray(i.opacity),g=s.isArrayOrTypedArray(i.size),v=s.isArrayOrTypedArray(i.line.width);if(l||(r=p.OPEN_RE.test(i.symbol)),l||c||h||d){o.colors=new Array(n),o.borderColors=new Array(n);var m=u(i,i.opacity,n),y=u(i.line,i.opacity,n);if(!Array.isArray(y[0])){var x=y;for(y=Array(n),e=0;e<n;e++)y[e]=x}if(!Array.isArray(m[0])){var b=m;for(m=Array(n),e=0;e<n;e++)m[e]=b}for(o.colors=m,o.borderColors=y,e=0;e<n;e++){if(l){var _=i.symbol[e];r=p.OPEN_RE.test(_)}r&&(y[e]=m[e].slice(),m[e]=m[e].slice(),m[e][3]=0)}o.opacity=t.opacity}else r?(o.color=a(i.color,"uint8"),o.color[3]=0,o.borderColor=a(i.color,"uint8")):(o.color=a(i.color,"uint8"),o.borderColor=a(i.line.color,"uint8")),o.opacity=t.opacity*i.opacity;if(l)for(o.markers=new Array(n),e=0;e<n;e++)o.markers[e]=M(i.symbol[e]);else o.marker=M(i.symbol);var w,k=f(t);if(g||v){var T,A=o.sizes=new Array(n),S=o.borderSizes=new Array(n),E=0;if(g){for(e=0;e<n;e++)A[e]=k(i.size[e]),E+=A[e];T=E/n}else for(w=k(i.size),e=0;e<n;e++)A[e]=w;if(v)for(e=0;e<n;e++)S[e]=i.line.width[e]/2;else for(w=i.line.width/2,e=0;e<n;e++)S[e]=w;o.sizeAvg=T}else o.size=k(i&&i.size||10),o.borderSizes=k(i.line.width);return o}function y(t,e){var r=t.marker,n={};return e?(e.marker&&e.marker.symbol?n=m(s.extendFlat({},r,e.marker)):e.marker&&(e.marker.size&&(n.size=e.marker.size/2),e.marker.color&&(n.colors=e.marker.color),void 0!==e.marker.opacity&&(n.opacity=e.marker.opacity)),n):n}function x(t,e){var r={};if(!e)return r;if(e.textfont){var n={opacity:1,text:t.text,textposition:t.textposition,textfont:s.extendFlat({},t.textfont)};e.textfont&&s.extendFlat(n.textfont,e.textfont),r=v(n)}return r}function b(t,e){var r={capSize:2*e.width,lineWidth:e.thickness,color:e.color};return e.copy_ystyle&&(r=t.error_y),r}var _=p.SYMBOL_SDF_SIZE,w=p.SYMBOL_SIZE,k=p.SYMBOL_STROKE,T={},A=l.symbolFuncs[0](.05*w);function M(t){if("circle"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.DOT_RE.test(t);return T[t]?T[t]:(e=c&&!o?a(1.1*w)+A:a(w),r=i(e,{w:_,h:_,viewBox:[-w,-w,w,w],stroke:s?k:-k}),T[t]=r,r||null)}e.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};if(!0!==e.visible)return n;if(h.hasText(e)&&(n.text=v(e),n.textSel=x(e,e.selected),n.textUnsel=x(e,e.unselected)),h.hasMarkers(e)&&(n.marker=m(e),n.markerSel=y(e,e.selected),n.markerUnsel=y(e,e.unselected),!e.unselected&&Array.isArray(e.marker.opacity))){var i=e.marker.opacity;for(n.markerUnsel.opacity=new Array(i.length),r=0;r<i.length;r++)n.markerUnsel.opacity[r]=d*i[r]}if(h.hasLines(e)){n.line={overlay:!0,thickness:e.line.width,color:e.line.color,opacity:e.opacity};var a=(p.DASHES[e.line.dash]||[1]).slice();for(r=0;r<a.length;++r)a[r]*=e.line.width;n.line.dashes=a}return e.error_x&&e.error_x.visible&&(n.errorX=b(e,e.error_x)),e.error_y&&e.error_y.visible&&(n.errorY=b(e,e.error_y)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:m,markerSelection:y,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(h.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 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k=y-_,T=y+w;p[m+u[0]]=x-i.c2l(k),p[m+u[1]]=i.c2l(T)-x,p[m+u[2]]=0,p[m+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}f[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,f=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,v=g[p],m=g[d],y=u?u/.8+1:0,x=-m*y-.5*m;o.offset[i]=[v*y/f,x/f]}}return o}}},{"../../components/drawing":614,"../../constants/interactions":694,"../../lib":719,"../../lib/gl_format_color":716,"../../plots/cartesian/axis_ids":770,"../../registry":847,"../scatter/make_bubble_size_func":1128,"../scatter/subtypes":1135,"./constants":1162,"color-normalize":120,"fast-isnumeric":225,"svg-path-sdf":535}],1164:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../registry"),a=t("./attributes"),o=t("../scatter/constants"),s=t("../scatter/subtypes"),l=t("../scatter/xy_defaults"),c=t("../scatter/marker_defaults"),u=t("../scatter/line_defaults"),h=t("../scatter/fillcolor_defaults"),f=t("../scatter/text_defaults");e.exports=function(t,e,r,p){function d(r,i){return n.coerce(t,e,a,r,i)}var g=!!t.marker&&/-open/.test(t.marker.symbol),v=s.isBubble(t),m=l(t,e,p,d);if(m){var y=m<o.PTS_LINESONLY?"lines+markers":"lines";d("text"),d("hovertext"),d("hovertemplate"),d("mode",y),s.hasLines(e)&&(d("connectgaps"),u(t,e,r,p,d),d("line.shape")),s.hasMarkers(e)&&(c(t,e,r,p,d),d("marker.line.width",g||v?1:0)),s.hasText(e)&&f(t,e,p,d);var x=(e.line||{}).color,b=(e.marker||{}).color;d("fill"),"none"!==e.fill&&h(t,e,r,d);var _=i.getComponentMethod("errorbars","supplyDefaults");_(t,e,x||b||r,{axis:"y"}),_(t,e,x||b||r,{axis:"x",inherit:"y"}),n.coerceSelectionMarkerOpacity(e,d)}else e.visible=!1}},{"../../lib":719,"../../registry":847,"../scatter/constants":1116,"../scatter/fillcolor_defaults":1120,"../scatter/line_defaults":1124,"../scatter/marker_defaults":1130,"../scatter/subtypes":1135,"../scatter/text_defaults":1136,"../scatter/xy_defaults":1137,"./attributes":1160}],1165:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/color"),a=t("../../constants/interactions").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,h=c.selectBatch[u],f=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},v=n.extendFlat({},p);if(h.length||f.length){var m=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(v.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],v.color[r]=m||(b?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var _=b?x[r]:x;v.color[r]=y||(m?_:i.addOpacity(_,a))}}c.glText[u].update(v)}}},{"../../components/color":593,"../../constants/interactions":694,"../../lib":719}],1166:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("../../lib"),a=t("../scatter/get_trace_color");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,h=t.index,f={pointNumber:h,x:e[h],y:r[h]};f.tx=Array.isArray(o.text)?o.text[h]:o.text,f.htx=Array.isArray(o.hovertext)?o.hovertext[h]:o.hovertext,f.data=Array.isArray(o.customdata)?o.customdata[h]:o.customdata,f.tp=Array.isArray(o.textposition)?o.textposition[h]:o.textposition;var p=o.textfont;p&&(f.ts=Array.isArray(p.size)?p.size[h]:p.size,f.tc=Array.isArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=Array.isArray(d.symbol)?d.symbol[h]:d.symbol,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var g=d&&d.line;g&&(f.mlc=Array.isArray(g.color)?g.color[h]:g.color,f.mlw=i.isArrayOrTypedArray(g.width)?g.width[h]:g.width);var v=d&&d.gradient;v&&"none"!==v.type&&(f.mgt=Array.isArray(v.type)?v.type[h]:v.type,f.mgc=Array.isArray(v.color)?v.color[h]:v.color);var m=s.c2p(f.x,!0),y=l.c2p(f.y,!0),x=f.mrc||1,b=o.hoverlabel;b&&(f.hbg=Array.isArray(b.bgcolor)?b.bgcolor[h]:b.bgcolor,f.hbc=Array.isArray(b.bordercolor)?b.bordercolor[h]:b.bordercolor,f.hts=Array.isArray(b.font.size)?b.font.size[h]:b.font.size,f.htc=Array.isArray(b.font.color)?b.font.color[h]:b.font.color,f.htf=Array.isArray(b.font.family)?b.font.family[h]:b.font.family,f.hnl=Array.isArray(b.namelength)?b.namelength[h]:b.namelength);var _=o.hoverinfo;_&&(f.hi=Array.isArray(_)?_[h]:_);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var k={};return k[t.index]=f,i.extendFlat(t,{color:a(o,f),x0:m-x,x1:m+x,xLabelVal:f.x,y0:y-x,y1:y+x,yLabelVal:f.y,cd:k,distance:c,spikeDistance:u,hovertemplate:f.ht}),f.htx?t.text=f.htx:f.tx?t.text=f.tx:o.text&&(t.text=o.text),i.fillText(f,o,t),n.getComponentMethod("errorbars","hoverInfo")(f,o,t),t}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d=t.cd,g=d[0].t,v=d[0].trace,m=t.xa,y=t.ya,x=g.x,b=g.y,_=m.c2p(e),w=y.c2p(r),k=t.distance;if(g.tree){var T=m.p2c(_-k),A=m.p2c(_+k),M=y.p2c(w-k),S=y.p2c(w+k);i="x"===n?g.tree.range(Math.min(T,A),Math.min(y._rl[0],y._rl[1]),Math.max(T,A),Math.max(y._rl[0],y._rl[1])):g.tree.range(Math.min(T,A),Math.min(M,S),Math.max(T,A),Math.max(M,S))}else{if(!g.ids)return[t];i=g.ids}var E=k;if("x"===n)for(c=0;c<i.length;c++)s=x[i[c]],(u=Math.abs(m.c2p(s)-_))<E&&(E=u,h=y.c2p(b[i[c]])-w,p=Math.sqrt(u*u+h*h),a=i[c]);else 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n=t("regl-scatter2d"),i=t("regl-line2d"),a=t("regl-error2d"),o=t("gl-text"),s=t("../../lib"),l=t("../../lib/prepare_regl"),c=t("../scatter/subtypes"),u=t("../scatter/link_traces"),h=t("./edit_style").styleTextSelection;e.exports=function(t,e,r){if(r.length){var f,p,d=t._fullLayout,g=e._scene,v=e.xaxis,m=e.yaxis;if(g)if(l(t,["ANGLE_instanced_arrays","OES_element_index_uint"])){var y=g.count,x=d._glcanvas.data()[0].regl;if(u(t,e,r),g.dirty){if(!0===g.error2d&&(g.error2d=a(x)),!0===g.line2d&&(g.line2d=i(x)),!0===g.scatter2d&&(g.scatter2d=n(x)),!0===g.fill2d&&(g.fill2d=i(x)),!0===g.glText)for(g.glText=new Array(y),f=0;f<y;f++)g.glText[f]=new o(x);if(g.glText){if(y>g.glText.length){var b=y-g.glText.length;for(f=0;f<b;f++)g.glText.push(new o(x))}else if(y<g.glText.length){var 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n=t("../../components/fx/hovertemplate_attributes"),i=t("../scattergeo/attributes"),a=t("../scatter/attributes"),o=t("../../plots/mapbox/layout_attributes"),s=t("../../plots/attributes"),l=t("../../components/colorscale/attributes"),c=t("../../lib/extend").extendFlat,u=t("../../plot_api/edit_types").overrideAll,h=i.line,f=i.marker;e.exports=u({lon:i.lon,lat:i.lat,mode:c({},a.mode,{dflt:"markers"}),text:c({},a.text,{}),hovertext:c({},a.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:a.connectgaps,marker:c({symbol:{valType:"string",dflt:"circle",arrayOk:!0},opacity:f.opacity,size:f.size,sizeref:f.sizeref,sizemin:f.sizemin,sizemode:f.sizemode},l("marker")),fill:i.fill,fillcolor:a.fillcolor,textfont:o.layers.symbol.textfont,textposition:o.layers.symbol.textposition,below:{valType:"string"},selected:{marker:a.selected.marker},unselected:{marker:a.unselected.marker},hoverinfo:c({},s.hoverinfo,{flags:["lon","lat","text","name"]}),hovertemplate:n()},"calc","nested")},{"../../components/colorscale/attributes":600,"../../components/fx/hovertemplate_attributes":631,"../../lib/extend":710,"../../plot_api/edit_types":750,"../../plots/attributes":764,"../../plots/mapbox/layout_attributes":824,"../scatter/attributes":1112,"../scattergeo/attributes":1151}],1172:[function(t,e,r){"use 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l=t[s];g(l.lonlat)||o.push({type:"Feature",geometry:{type:"Point",coordinates:l.lonlat},properties:{symbol:i(l.mx),text:a(l.tx)}})}return{type:"FeatureCollection",features:o}}(t),i.extendFlat(A.layout,{visibility:"visible","icon-image":"{symbol}-15","text-field":"{text}"}),_&&(i.extendFlat(A.layout,{"icon-size":r.marker.size/10}),i.extendFlat(A.paint,{"icon-opacity":r.opacity*r.marker.opacity,"icon-color":r.marker.color})),x)){var E=(r.marker||{}).size,C=h(r.textposition,E);i.extendFlat(A.layout,{"text-size":r.textfont.size,"text-anchor":C.anchor,"text-offset":C.offset}),i.extendFlat(A.paint,{"text-color":r.textfont.color,"text-opacity":r.opacity})}return M}},{"../../components/colorscale":605,"../../components/drawing":614,"../../constants/numerical":695,"../../lib":719,"../../lib/geojson_utils":714,"../../plots/mapbox/convert_text_opts":821,"../scatter/make_bubble_size_func":1128,"../scatter/subtypes":1135,"fast-isnumeric":225}],1173:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../scatter/subtypes"),a=t("../scatter/marker_defaults"),o=t("../scatter/line_defaults"),s=t("../scatter/text_defaults"),l=t("../scatter/fillcolor_defaults"),c=t("./attributes");e.exports=function(t,e,r,u){function h(r,i){return n.coerce(t,e,c,r,i)}if(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,h)){if(h("text"),h("hovertext"),h("hovertemplate"),h("mode"),h("below"),i.hasLines(e)&&(o(t,e,r,u,h,{noDash:!0}),h("connectgaps")),i.hasMarkers(e)){a(t,e,r,u,h,{noLine:!0});var f=e.marker;"circle"!==f.symbol&&(n.isArrayOrTypedArray(f.size)&&(f.size=f.size[0]),n.isArrayOrTypedArray(f.color)&&(f.color=f.color[0]))}i.hasText(e)&&s(t,e,u,h,{noSelect:!0}),h("fill"),"none"!==e.fill&&l(t,e,r,h),n.coerceSelectionMarkerOpacity(e,h)}else 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t.x0=y-b,t.x1=y+b,t.y0=x-b,t.y1=x+b,t.color=a(c,g),t.extraText=function(t,e,r){if(t.hovertemplate)return;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=[];function u(t){return t+"\xb0"}i||a&&s?c.push("("+u(l[0])+", "+u(l[1])+")"):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);return c.join("<br>")}(c,g,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{"../../components/fx":632,"../../constants/numerical":695,"../../lib":719,"../scatter/get_trace_color":1121}],1176:[function(t,e,r){"use 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n=t("../../registry"),i=t("../../components/grid");e.exports={moduleType:"trace",name:"splom",basePlotModule:t("./base_plot"),categories:["gl","regl","cartesian","symbols","showLegend","scatter-like"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:t("../scatter/marker_colorbar"),calc:t("./calc"),plot:t("./plot"),hoverPoints:t("./hover").hoverPoints,selectPoints:t("./select"),editStyle:t("./edit_style"),meta:{}},n.register(i)},{"../../components/grid":636,"../../registry":847,"../scatter/marker_colorbar":1129,"./attributes":1198,"./base_plot":1199,"./calc":1200,"./defaults":1201,"./edit_style":1202,"./hover":1204,"./plot":1206,"./select":1208}],1206:[function(t,e,r){"use strict";var n=t("regl-splom"),i=t("../../lib"),a=t("../../plots/cartesian/axis_ids");function o(t,e){var r,o,s,l,c,u=t._fullLayout,h=u._size,f=e.trace,p=e.t,d=u._splomScenes[f.uid],g=d.matrixOptions,v=g.cdata,m=u._glcanvas.data()[0].regl,y=u.dragmode;if(0!==v.length){g.lower=f.showupperhalf,g.upper=f.showlowerhalf,g.diagonal=f.diagonal.visible;var x=f._visibleDims,b=v.length,_=d.viewOpts={};for(_.ranges=new Array(b),_.domains=new Array(b),c=0;c<x.length;c++){s=x[c];var w=_.ranges[c]=new Array(4),k=_.domains[c]=new Array(4);(r=a.getFromId(t,f._diag[s][0]))&&(w[0]=r._rl[0],w[2]=r._rl[1],k[0]=r.domain[0],k[2]=r.domain[1]),(o=a.getFromId(t,f._diag[s][1]))&&(w[1]=o._rl[0],w[3]=o._rl[1],k[1]=o.domain[0],k[3]=o.domain[1])}_.viewport=[h.l,h.b,h.w+h.l,h.h+h.b],!0===d.matrix&&(d.matrix=n(m));var T=u.clickmode.indexOf("select")>-1,A=!0;if("lasso"===y||"select"===y||!!f.selectedpoints||T){var M=f._length;if(f.selectedpoints){d.selectBatch=f.selectedpoints;var S=f.selectedpoints,E={};for(s=0;s<S.length;s++)E[S[s]]=!0;var C=[];for(s=0;s<M;s++)E[s]||C.push(s);d.unselectBatch=C}var L=p.xpx=new Array(b),P=p.ypx=new Array(b);for(c=0;c<x.length;c++){if(s=x[c],r=a.getFromId(t,f._diag[s][0]))for(L[c]=new Array(M),l=0;l<M;l++)L[c][l]=r.c2p(v[c][l]);if(o=a.getFromId(t,f._diag[s][1]))for(P[c]=new Array(M),l=0;l<M;l++)P[c][l]=o.c2p(v[c][l])}if(d.selectBatch.length||d.unselectBatch.length){var O=i.extendFlat({},g,d.unselectedOptions,_),z=i.extendFlat({},g,d.selectedOptions,_);d.matrix.update(O,z),A=!1}}else p.xpx=p.ypx=null;if(A){var I=i.extendFlat({},g,_);d.matrix.update(I,null)}}}e.exports=function(t,e,r){if(r.length)for(var n=0;n<r.length;n++)o(t,r[n][0])}},{"../../lib":719,"../../plots/cartesian/axis_ids":770,"regl-splom":501}],1207:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t._fullLayout,i=e.uid,a=r._splomScenes;a||(a=r._splomScenes={});var o={dirty:!0},s=a[e.uid];return 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f=c.ensureSingle(i,"g","slicetext"),y=c.ensureSingle(f,"text","",function(t){t.attr("data-notex",1)});y.text(function(t,e,r){var n=e.textinfo;if(!n||"none"===n)return"";var i=t.data.data,a=r.separators,o=n.split("+"),s=function(t){return-1!==o.indexOf(t)},l=[];s("label")&&i.label&&l.push(i.label);i.hasOwnProperty("v")&&s("value")&&l.push(g(i.v,a));if(s("text")){var u=c.castOption(e,i.i,"text");c.isValidTextValue(u)&&l.push(u)}return l.join("<br>")}(r,m,o)).classed("slicetext",!0).attr("text-anchor","middle").call(l.font,b(r)?function(t,e,r){var n=e.data.data.i,i=c.castOption(t,n,"outsidetextfont.color")||c.castOption(t,n,"textfont.color")||r.color,a=c.castOption(t,n,"outsidetextfont.family")||c.castOption(t,n,"textfont.family")||r.family,o=c.castOption(t,n,"outsidetextfont.size")||c.castOption(t,n,"textfont.size")||r.size;return{color:i,family:a,size:o}}(m,r,o.font):function(t,e,r){var n=e.data.data,i=n.i,a=c.castOption(t,i,"insidetextfont.color");!a&&t._input.textfont&&(a=c.castOption(t._input,i,"textfont.color"));var o=c.castOption(t,i,"insidetextfont.family")||c.castOption(t,i,"textfont.family")||r.family,l=c.castOption(t,i,"insidetextfont.size")||c.castOption(t,i,"textfont.size")||r.size;return{color:a||s.contrast(n.color),family:o,size:l}}(m,r,o.font)).call(h.convertToTspans,t);var x=l.bBox(y.node());r.transform=d(x,r,p),r.translateX=q(r),r.translateY=H(r);var _=function(t,e){return"translate("+t.translateX+","+t.translateY+")"+(t.transform.scale<1?"scale("+t.transform.scale+")":"")+(t.transform.rotate?"rotate("+t.transform.rotate+")":"")+"translate("+-(e.left+e.right)/2+","+-(e.top+e.bottom)/2+")"};u?y.transition().attrTween("transform",function(t){var e=function(t){var e,r=I[k(t)],i=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{scale:0,rotate:i.rotate,rCenter:i.rCenter,x:i.x,y:i.y}},z)if(t.parent)if(G){var a=t.x1>G?2*Math.PI:0;e.x0=e.x1=a}else c.extendFlat(e,X(t));else e.x0=e.x1=0;else e.x0=e.x1=0;var o=n.interpolate(e.rpx1,t.rpx1),s=n.interpolate(e.x0,t.x0),l=n.interpolate(e.x1,t.x1),u=n.interpolate(e.transform.scale,i.scale),h=n.interpolate(e.transform.rotate,i.rotate),f=0===i.rCenter?3:0===e.transform.rCenter?1/3:1,p=n.interpolate(e.transform.rCenter,i.rCenter);return function(t){var e=o(t),r=s(t),n=l(t),a=function(t){return p(Math.pow(t,f))}(t),c={pxmid:U(e,(r+n)/2),transform:{rCenter:a,x:i.x,y:i.y}},d={rpx1:o(t),translateX:q(c),translateY:H(c),transform:{scale:u(t),rotate:h(t),rCenter:a}};return d}}(t);return function(t){return _(e(t),x)}}):y.attr("transform",_(r,x))})}function x(t,e){var r;return e&&t.eachAfter(function(t){if(k(t)===e)return r=t.copy()}),r||t}function b(t){return""===t.data.data.pid}function _(t){return!t.parent}function w(t){return!t.children}function k(t){return t.data.data.id}function T(t,e,r){var n=t.datum(),i=(r||{}).isTransitioning;f(t,i||w(n)||b(n)?null:"pointer")}function A(t,e,r){var i=r[0],s=i.trace;"_hasHoverLabel"in s||(s._hasHoverLabel=!1),"_hasHoverEvent"in s||(s._hasHoverEvent=!1),t.on("mouseover",function(t){var r=e._fullLayout;if(!e._dragging&&!1!==r.hovermode){var a=e._fullData[s.index],l=t.data.data,u=l.i,h=function(t){return c.castOption(a,u,t)},f=h("hovertemplate"),p=o.castHoverinfo(a,r,u),d=r.separators;if(f||p&&"none"!==p&&"skip"!==p){var v=t.rInscribed,m=i.cx+t.pxmid[0]*(1-v),y=i.cy+t.pxmid[1]*(1-v),x={},b=[],_=[],w=function(t){return-1!==b.indexOf(t)};if(p&&(b="all"===p?a._module.attributes.hoverinfo.flags:p.split("+")),x.label=l.label,w("label")&&x.label&&_.push(x.label),l.hasOwnProperty("v")&&(x.value=l.v,x.valueLabel=g(x.value,d),w("value")&&_.push(x.valueLabel)),x.text=h("hovertext")||h("text"),w("text")){var k=x.text;c.isValidTextValue(k)&&_.push(k)}o.loneHover({trace:a,x0:m-v*t.rpx1,x1:m+v*t.rpx1,y:y,idealAlign:t.pxmid[0]<0?"left":"right",text:_.join("<br>"),name:f||w("name")?a.name:void 0,color:h("hoverlabel.bgcolor")||l.color,borderColor:h("hoverlabel.bordercolor"),fontFamily:h("hoverlabel.font.family"),fontSize:h("hoverlabel.font.size"),fontColor:h("hoverlabel.font.color"),nameLength:h("hoverlabel.namelength"),textAlign:h("hoverlabel.align"),hovertemplate:f,hovertemplateLabels:x,eventData:[M(t,a)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e}),s._hasHoverLabel=!0}s._hasHoverEvent=!0,e.emit("plotly_hover",{points:[M(t,a)],event:n.event})}}),t.on("mouseout",function(t){var r=e._fullLayout,i=e._fullData[s.index],a=n.select(this).datum();s._hasHoverEvent&&(t.originalEvent=n.event,e.emit("plotly_unhover",{points:[M(a,i)],event:n.event}),s._hasHoverEvent=!1),s._hasHoverLabel&&(o.loneUnhover(r._hoverlayer.node()),s._hasHoverLabel=!1)}),t.on("click",function(t){var r=e._fullLayout,l=e._fullData[s.index];if(!1===u.triggerHandler(e,"plotly_sunburstclick",{points:[M(t,l)],event:n.event})||w(t)||b(t))r.hovermode&&(e._hoverdata=[M(t,l)],o.click(e,n.event));else if(!e._dragging&&!e._transitioning){a.call("_storeDirectGUIEdit",l,r._tracePreGUI[l.uid],{level:l.level});var c=i.hierarchy,h=k(t),f=_(t)?function(t,e){var r;return t.eachAfter(function(t){for(var n=t.children||[],i=0;i<n.length;i++)if(k(n[i])===e)return r=t.copy()}),r||t}(c,h):x(c,h),p={data:[{level:k(f)}],traces:[s.index]},d={frame:{redraw:!1,duration:m.CLICK_TRANSITION_TIME},transition:{duration:m.CLICK_TRANSITION_TIME,easing:m.CLICK_TRANSITION_EASING},mode:"immediate",fromcurrent:!0};o.loneUnhover(r._hoverlayer.node()),a.call("animate",e,p,d)}})}function M(t,e){var r=t.data.data,n={curveNumber:e.index,pointNumber:r.i,data:e._input,fullData:e};return p(n,e,r.i),n}e.exports=function(t,e,r,i){var a,o,s=t._fullLayout._sunburstlayer,l=!r,c=r&&r.duration>0;((a=s.selectAll("g.trace.sunburst").data(e,function(t){return t[0].trace.uid})).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),c)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",function(){o&&o()}).each("interrupt",function(){o&&o()}).each(function(){s.selectAll("g.trace").each(function(e){y(t,e,this,r)})})):a.each(function(e){y(t,e,this,r)});l&&a.exit().remove()}},{"../../components/color":593,"../../components/drawing":614,"../../components/fx":632,"../../components/fx/helpers":628,"../../lib":719,"../../lib/events":709,"../../lib/setcursor":739,"../../lib/svg_text_utils":743,"../../registry":847,"../pie/helpers":1091,"../pie/plot":1095,"./constants":1217,"./style":1223,d3:163,"d3-hierarchy":157}],1223:[function(t,e,r){"use strict";var n=t("d3"),i=t("../../components/color"),a=t("../../lib");function o(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){t._fullLayout._sunburstlayer.selectAll(".trace").each(function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each(function(t){n.select(this).call(o,t,r)})})},styleOne:o}},{"../../components/color":593,"../../lib":719,d3:163}],1224:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../components/fx/hovertemplate_attributes"),o=t("../../plots/attributes"),s=t("../../lib/extend").extendFlat,l=t("../../plot_api/edit_types").overrideAll;function c(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var u=e.exports=l(s({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:c(),y:c(),z:c()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},_deprecated:{zauto:s({},i.zauto,{}),zmin:s({},i.zmin,{}),zmax:s({},i.zmax,{})},hoverinfo:s({},o.hoverinfo)}),"calc","nested");u.x.editType=u.y.editType=u.z.editType="calc+clearAxisTypes",u.transforms=void 0},{"../../components/color":593,"../../components/colorscale/attributes":600,"../../components/fx/hovertemplate_attributes":631,"../../lib/extend":710,"../../plot_api/edit_types":750,"../../plots/attributes":764}],1225:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:"",cLetter:"c"}):n(t,e,{vals:e.z,containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":601}],1226:[function(t,e,r){"use strict";var n=t("gl-surface3d"),i=t("ndarray"),a=t("ndarray-homography"),o=t("ndarray-fill"),s=t("../../lib").isArrayOrTypedArray,l=t("../../lib/gl_format_color").parseColorScale,c=t("../../lib/str2rgbarray"),u=t("../../components/colorscale").extractOpts,h=t("../heatmap/interp2d"),f=t("../heatmap/find_empties");function p(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var d=p.prototype;d.getXat=function(t,e,r,n){var i=s(this.data.x)?s(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},d.getYat=function(t,e,r,n){var i=s(this.data.y)?s(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},d.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)},d.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),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++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||"",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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"Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Pankow", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Pankow", "Reinickendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Marzahn - Hellersdorf", "Pankow", "Mitte", "Pankow", "Pankow", "Mitte", "Reinickendorf", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Reinickendorf", "Mitte", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Reinickendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Pankow", "Pankow", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Reinickendorf", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Pankow", "Lichtenberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Reinickendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Spandau", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Lichtenberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Pankow", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Lichtenberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Pankow", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Mitte", "Mitte", "Reinickendorf", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Marzahn - Hellersdorf", "Mitte", "Mitte", "Reinickendorf", "Pankow", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Marzahn - Hellersdorf", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Spandau", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Marzahn - Hellersdorf", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Pankow", "Pankow", "Pankow", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Pankow", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Spandau", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Pankow", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Lichtenberg", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Spandau", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Reinickendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Spandau", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Reinickendorf", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Mitte", "Reinickendorf", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Marzahn - Hellersdorf", "Mitte", "Pankow", "Charlottenburg-Wilm", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Lichtenberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Lichtenberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Spandau", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Lichtenberg", "Pankow", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Pankow", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Spandau", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Lichtenberg", "Lichtenberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Spandau", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Spandau", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Spandau", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Reinickendorf", "Pankow", "Reinickendorf", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Reinickendorf", "Reinickendorf", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Pankow", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Reinickendorf", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Lichtenberg", "Lichtenberg", "Mitte", "Lichtenberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Mitte", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Mitte", "Steglitz - Zehlendorf", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Reinickendorf", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Mitte", "Lichtenberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Spandau", "Mitte", "Charlottenburg-Wilm", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Spandau", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Marzahn - Hellersdorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Pankow", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Reinickendorf", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Pankow", "Marzahn - Hellersdorf", "Pankow", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Lichtenberg", "Mitte", "Mitte", "Lichtenberg", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Reinickendorf", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Reinickendorf", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Marzahn - Hellersdorf", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Reinickendorf", "Mitte", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Lichtenberg", "Lichtenberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Spandau", "Neuk\u00f6lln", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Mitte", "Charlottenburg-Wilm", "Lichtenberg", "Lichtenberg", "Pankow", "Mitte", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Pankow", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Reinickendorf", "Mitte", "Charlottenburg-Wilm", "Lichtenberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Steglitz - Zehlendorf", "Reinickendorf", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Spandau", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Reinickendorf", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Lichtenberg", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Charlottenburg-Wilm", "Spandau", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Reinickendorf", "Neuk\u00f6lln", "Spandau", "Charlottenburg-Wilm", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Marzahn - Hellersdorf", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Lichtenberg", "Mitte", "Lichtenberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Reinickendorf", "Mitte", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Lichtenberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Spandau", "Lichtenberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Reinickendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Spandau", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Marzahn - Hellersdorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Lichtenberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Lichtenberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Pankow", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Reinickendorf", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Spandau", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Spandau", "Reinickendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Spandau", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Spandau", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Lichtenberg", "Pankow", "Reinickendorf", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Reinickendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Spandau", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Pankow", "Reinickendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Charlottenburg-Wilm", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Spandau", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Reinickendorf", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Pankow", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Mitte", "Mitte", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Mitte", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Spandau", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Lichtenberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Marzahn - Hellersdorf", "Lichtenberg", "Lichtenberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Mitte", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Spandau", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Spandau", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Spandau", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Charlottenburg-Wilm", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Spandau", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Pankow", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Spandau", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Spandau", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Reinickendorf", "Lichtenberg", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Reinickendorf", "Pankow", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Pankow", "Friedrichshain-Kreuzberg", "Spandau", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Marzahn - Hellersdorf", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Spandau", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Marzahn - Hellersdorf", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Lichtenberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Spandau", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Lichtenberg", "Treptow - K\u00f6penick", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Reinickendorf", "Mitte", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Lichtenberg", "Pankow", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Mitte", "Mitte", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Lichtenberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Spandau", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Reinickendorf", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Lichtenberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Lichtenberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Lichtenberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Reinickendorf", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Spandau", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Reinickendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Lichtenberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Marzahn - Hellersdorf", "Mitte", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Lichtenberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Mitte", "Mitte", "Reinickendorf", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Lichtenberg", "Charlottenburg-Wilm", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Pankow", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Reinickendorf", "Treptow - K\u00f6penick", "Lichtenberg", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Mitte", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Mitte", "Mitte", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Marzahn - Hellersdorf", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Spandau", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Lichtenberg", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Spandau", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Treptow - K\u00f6penick", "Spandau", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Reinickendorf", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Lichtenberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Spandau", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Pankow", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Reinickendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Reinickendorf", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Mitte", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Pankow", "Pankow", "Lichtenberg", "Pankow", "Mitte", "Pankow", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Pankow", "Mitte", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Spandau", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Pankow", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Spandau", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Lichtenberg", "Treptow - K\u00f6penick", "Reinickendorf", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Spandau", "Neuk\u00f6lln", "Pankow", "Reinickendorf", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Reinickendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Spandau", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Reinickendorf", "Mitte", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Reinickendorf", "Neuk\u00f6lln", "Spandau", "Mitte", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Spandau", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Lichtenberg", "Mitte", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Marzahn - Hellersdorf", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Spandau", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Pankow", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Spandau", "Spandau", "Spandau", "Mitte", "Spandau", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Pankow", "Spandau", "Spandau", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Mitte", "Spandau", "Spandau", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Pankow", "Pankow", "Mitte", "Pankow", "Pankow", "Pankow", "Mitte", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Lichtenberg", "Mitte", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Mitte", "Pankow", "Pankow", "Pankow", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Spandau", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Spandau", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Lichtenberg", "Mitte", "Mitte", "Reinickendorf", "Reinickendorf", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Lichtenberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Lichtenberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Mitte", "Lichtenberg", "Mitte", "Reinickendorf", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Reinickendorf", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Spandau", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Lichtenberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Spandau", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Reinickendorf", "Mitte", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", 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"Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Pankow", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Lichtenberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Lichtenberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Reinickendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Reinickendorf", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Lichtenberg", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Pankow", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Spandau", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Spandau", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Mitte", "Mitte", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Mitte", "Spandau", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Reinickendorf", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Spandau", "Mitte", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Lichtenberg", "Lichtenberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Spandau", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Lichtenberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Spandau", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Mitte", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Mitte", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Lichtenberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Pankow", "Pankow", "Mitte", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Lichtenberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Reinickendorf", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Lichtenberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Pankow", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Pankow", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Mitte", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Pankow", "Pankow", "Pankow", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Reinickendorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Reinickendorf", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Lichtenberg", "Lichtenberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Spandau", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Mitte", "Pankow", "Spandau", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Marzahn - Hellersdorf", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Marzahn - Hellersdorf", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Reinickendorf", "Charlottenburg-Wilm", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Spandau", "Mitte", "Mitte", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Lichtenberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Treptow - K\u00f6penick", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Spandau", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Mitte", "Mitte", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Pankow", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Reinickendorf", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Reinickendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Reinickendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Reinickendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Spandau", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Spandau", "Friedrichshain-Kreuzberg", "Mitte", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Lichtenberg", "Treptow - K\u00f6penick", "Lichtenberg", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Lichtenberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Reinickendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Lichtenberg", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Lichtenberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Spandau", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Reinickendorf", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Treptow - K\u00f6penick", "Lichtenberg", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Charlottenburg-Wilm", "Reinickendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Spandau", "Charlottenburg-Wilm", "Mitte", "Mitte", "Charlottenburg-Wilm", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Mitte", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Pankow", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Reinickendorf", "Lichtenberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Reinickendorf", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Mitte", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Pankow", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Reinickendorf", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Reinickendorf", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Reinickendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Reinickendorf", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Pankow", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Lichtenberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Spandau", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Lichtenberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Reinickendorf", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Spandau", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Lichtenberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Reinickendorf", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Spandau", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Lichtenberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Marzahn - Hellersdorf", "Pankow", "Spandau", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Spandau", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Spandau", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Spandau", "Mitte", "Reinickendorf", "Marzahn - Hellersdorf", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Reinickendorf", "Neuk\u00f6lln", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Marzahn - Hellersdorf", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Spandau", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Lichtenberg", "Treptow - K\u00f6penick", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Treptow - K\u00f6penick", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Reinickendorf", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Pankow", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Spandau", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Reinickendorf", "Reinickendorf", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Reinickendorf", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Charlottenburg-Wilm", "Pankow", "Pankow", "Pankow", "Pankow", "Reinickendorf", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Lichtenberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Pankow", "Pankow", "Lichtenberg", "Pankow", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Spandau", "Charlottenburg-Wilm", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Reinickendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Spandau", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Mitte", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Steglitz - Zehlendorf", "Lichtenberg", "Marzahn - Hellersdorf", "Mitte", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Marzahn - Hellersdorf", "Treptow - K\u00f6penick", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Spandau", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Lichtenberg", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Spandau", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Mitte", "Pankow", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Mitte", "Reinickendorf", "Lichtenberg", "Pankow", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Steglitz - Zehlendorf", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Neuk\u00f6lln", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Spandau", "Mitte", "Tempelhof - Sch\u00f6neberg", "Spandau", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Reinickendorf", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Spandau", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Lichtenberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Pankow", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Pankow", "Mitte", "Mitte", "Mitte", "Reinickendorf", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Charlottenburg-Wilm", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Reinickendorf", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Reinickendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Pankow", "Marzahn - Hellersdorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Reinickendorf", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Reinickendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Reinickendorf", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Lichtenberg", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Spandau", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Pankow", "Pankow", "Neuk\u00f6lln", "Reinickendorf", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Spandau", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Reinickendorf", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Charlottenburg-Wilm", "Pankow", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Marzahn - Hellersdorf", "Mitte", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Marzahn - Hellersdorf", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Reinickendorf", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Mitte", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Reinickendorf", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Reinickendorf", "Charlottenburg-Wilm", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Reinickendorf", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Pankow", "Pankow", "Pankow", "Mitte", "Mitte", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Pankow", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Mitte", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Pankow", "Mitte", "Lichtenberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Lichtenberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Pankow", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Charlottenburg-Wilm", "Pankow", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Reinickendorf", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Pankow", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Lichtenberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Reinickendorf", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Mitte", "Pankow", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Marzahn - Hellersdorf", "Lichtenberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Lichtenberg", "Lichtenberg", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Mitte", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Marzahn - Hellersdorf", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Pankow", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Steglitz - Zehlendorf", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Pankow", "Reinickendorf", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Lichtenberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Mitte", "Lichtenberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Lichtenberg", "Pankow", "Steglitz - Zehlendorf", "Reinickendorf", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Mitte", "Mitte", "Lichtenberg", "Mitte", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Steglitz - Zehlendorf", "Mitte", "Reinickendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Mitte", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Marzahn - Hellersdorf", "Mitte", "Steglitz - Zehlendorf", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Pankow", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Lichtenberg", "Spandau", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Spandau", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Spandau", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Charlottenburg-Wilm", "Mitte", "Pankow", "Neuk\u00f6lln", "Spandau", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Charlottenburg-Wilm", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Pankow", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Pankow", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Mitte", "Marzahn - Hellersdorf", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Lichtenberg", "Lichtenberg", "Lichtenberg", "Lichtenberg", "Lichtenberg", "Lichtenberg", "Lichtenberg", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Pankow", "Charlottenburg-Wilm", "Pankow", "Reinickendorf", "Mitte", "Mitte", "Mitte", "Mitte", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Pankow", "Mitte", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Tempelhof - Sch\u00f6neberg", "Reinickendorf", "Tempelhof - Sch\u00f6neberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Mitte", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Spandau", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Pankow", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Lichtenberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Marzahn - Hellersdorf", "Neuk\u00f6lln", "Pankow", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Pankow", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Spandau", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Neuk\u00f6lln", "Pankow", "Neuk\u00f6lln", "Mitte", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Pankow", "Lichtenberg", "Lichtenberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Mitte", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Mitte", "Treptow - K\u00f6penick", "Spandau", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Mitte", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Treptow - K\u00f6penick", "Pankow", "Pankow", "Lichtenberg", "Mitte", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Neuk\u00f6lln", "Mitte", "Tempelhof - Sch\u00f6neberg", "Mitte", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Mitte", "Treptow - K\u00f6penick", "Pankow", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Mitte", "Treptow - K\u00f6penick", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Mitte", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Neuk\u00f6lln", "Neuk\u00f6lln", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Mitte", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Lichtenberg", "Pankow", "Mitte", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Marzahn - Hellersdorf", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Treptow - K\u00f6penick", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Mitte", "Pankow", "Tempelhof - Sch\u00f6neberg", "Steglitz - Zehlendorf", "Mitte", "Charlottenburg-Wilm", "Pankow", "Friedrichshain-Kreuzberg", "Mitte", "Mitte", "Friedrichshain-Kreuzberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Mitte", "Reinickendorf", "Steglitz - Zehlendorf", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Mitte", "Friedrichshain-Kreuzberg", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Spandau", "Mitte", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Lichtenberg", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Steglitz - Zehlendorf", "Treptow - K\u00f6penick", "Marzahn - Hellersdorf", "Friedrichshain-Kreuzberg", "Charlottenburg-Wilm", "Charlottenburg-Wilm", "Tempelhof - Sch\u00f6neberg", "Neuk\u00f6lln", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Lichtenberg", "Mitte", "Mitte", "Charlottenburg-Wilm", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Pankow", "Treptow - K\u00f6penick", "Mitte", "Tempelhof - Sch\u00f6neberg", "Treptow - K\u00f6penick", "Pankow", "Mitte", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Friedrichshain-Kreuzberg", "Lichtenberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Mitte", "Pankow", "Treptow - K\u00f6penick", "Neuk\u00f6lln", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Mitte", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Pankow", "Mitte", "Lichtenberg", "Neuk\u00f6lln", "Friedrichshain-Kreuzberg", "Steglitz - Zehlendorf", "Mitte", "Charlottenburg-Wilm", "Friedrichshain-Kreuzberg", "Tempelhof - Sch\u00f6neberg", "Tempelhof - Sch\u00f6neberg", "Pankow", "Pankow", "Pankow", "Friedrichshain-Kreuzberg", "Neuk\u00f6lln", "Tempelhof - Sch\u00f6neberg", "Friedrichshain-Kreuzberg", "Mitte", 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