diff --git a/notebooks/network-intrusion-detection-part-1/meta.toml b/notebooks/network-intrusion-detection-part-1/meta.toml index d5acf21..ecd78b7 100644 --- a/notebooks/network-intrusion-detection-part-1/meta.toml +++ b/notebooks/network-intrusion-detection-part-1/meta.toml @@ -1,8 +1,10 @@ [meta] -title="Part 1 or Real-time threat Detection - This notebook demonstrates the application of SingleStoreDB's similarity search to create a system -for identifying infrequent occurrences, a common requirement in fields such as cybersecurity -and fraud detection where only a small percentage of events are potentially malicious. -" +title="IT Threat Detection, Part 1" +description=""" + Part 1 or Real-time threat Detection - This notebook demonstrates the + application of SingleStoreDB's similarity search to create a system + for identifying infrequent occurrences, a common requirement in fields such as cybersecurity + and fraud detection where only a small percentage of events are potentially malicious.""" icon="browser" tags=["iot", "cybersecurity", "training", "vectordb"] -destinations=["spaces"] \ No newline at end of file +destinations=["spaces"] diff --git a/notebooks/network-intrusion-detection-part-1/notebook.ipynb b/notebooks/network-intrusion-detection-part-1/notebook.ipynb index b403636..19a3ab2 100644 --- a/notebooks/network-intrusion-detection-part-1/notebook.ipynb +++ b/notebooks/network-intrusion-detection-part-1/notebook.ipynb @@ -1 +1,527 @@ -{"cells":[{"cell_type":"markdown","id":"93ad2bda-e101-4aad-a83b-45f84560597c","metadata":{"language":"python"},"source":"
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SingleStore Notebooks
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IT Threat Detection, Part 1

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"},{"cell_type":"markdown","id":"4d343fe9-0c6f-4cf7-bf04-02524cdb5879","metadata":{"language":"python"},"source":"This notebook demonstrates the application of SingleStoreDB's similarity search to create a system for identifying infrequent occurrences, a common requirement in fields such as cybersecurity and fraud detection where only a small percentage of events are potentially malicious.\n\nIn this instance, we aim to construct a network intrusion detection system. These systems continuously monitor incoming and outgoing network traffic, generating alerts when potential threats are detected. We'll utilize a combination of a deep learning model and similarity search to identify and classify network intrusion traffic.\n\nOur initial step involves a dataset of labeled traffic events, distinguishing between benign and malicious events, by transforming them into vector embeddings. These vector embeddings serve as comprehensive mathematical representations of network traffic events. SingleStoreDB's built-in similarity-search algorithms allow us to measure the similarity between different network events. To generate these embeddings, we'll leverage a deep learning model based on recent academic research.\n\nSubsequently, we'll apply this dataset to search for the most similar matches when presented with new, unseen network events. We'll retrieve these matches along with their corresponding labels. This process enables us to classify the unseen events as either **benign** or **malicious** by propagating the labels of the matched events. It's essential to note that intrusion detection is a complex classification task, primarily because malicious events occur infrequently. The similarity search service plays a crucial role in identifying relevant historical labeled events, thus enabling the identification of these rare events while maintaining a low rate of false alarms.\n\n## Install Dependencies"},{"cell_type":"code","execution_count":4,"id":"c649045f-0a53-4c49-88cb-0351e872d68c","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:11:32.025758Z","iopub.status.busy":"2023-10-04T15:11:32.025506Z","iopub.status.idle":"2023-10-04T15:12:02.177962Z","shell.execute_reply":"2023-10-04T15:12:02.177338Z","shell.execute_reply.started":"2023-10-04T15:11:32.025741Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":"!pip3 install tensorflow keras pandas --upgrade --quiet"},{"cell_type":"code","execution_count":5,"id":"f3bb35f9-67ea-4a23-b713-888746494baf","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:12:06.378457Z","iopub.status.busy":"2023-10-04T15:12:06.378188Z","iopub.status.idle":"2023-10-04T15:12:07.773000Z","shell.execute_reply":"2023-10-04T15:12:07.772488Z","shell.execute_reply.started":"2023-10-04T15:12:06.378438Z"},"language":"python","scrolled":true,"tags":[],"trusted":true},"outputs":[],"source":"import os\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n\nimport pandas as pd\nimport tensorflow.keras.backend as K\nfrom tensorflow import keras\nfrom tensorflow.keras.models import Model"},{"cell_type":"markdown","id":"01fa2a0b-0213-4399-8481-adc1734cecf0","metadata":{"language":"python"},"source":"We'll define a Python context manager called `clear_memory()` using the **contextlib** module. This context manager will be used to clear memory by running Python's garbage collector (`gc.collect()`) after a block of code is executed."},{"cell_type":"code","execution_count":6,"id":"b7b5a0c6-aef9-4fea-91d9-8777e75d5c1f","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:12:13.931036Z","iopub.status.busy":"2023-10-04T15:12:13.930471Z","iopub.status.idle":"2023-10-04T15:12:13.934758Z","shell.execute_reply":"2023-10-04T15:12:13.933574Z","shell.execute_reply.started":"2023-10-04T15:12:13.931013Z"},"language":"python","trusted":true},"outputs":[],"source":"import contextlib\nimport gc\n\n@contextlib.contextmanager\ndef clear_memory():\n try:\n yield\n finally:\n gc.collect()"},{"cell_type":"markdown","id":"6eaabcc0-3bfa-4c67-86cd-8b3a42150a6f","metadata":{"language":"python"},"source":"We'll will incorporate portions of code from [research work](https://github.com/Colorado-Mesa-University-Cybersecurity/DeepLearning-IDS). To begin, we'll clone the repository required for data preparation."},{"cell_type":"code","execution_count":7,"id":"1d06bd7a-f3ad-4c3a-a085-d8583d20e2bc","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:12:20.727187Z","iopub.status.busy":"2023-10-04T15:12:20.726917Z","iopub.status.idle":"2023-10-04T15:12:23.906216Z","shell.execute_reply":"2023-10-04T15:12:23.905573Z","shell.execute_reply.started":"2023-10-04T15:12:20.727172Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":"!git clone -q https://github.com/Colorado-Mesa-University-Cybersecurity/DeepLearning-IDS.git"},{"cell_type":"markdown","id":"8c323aab-899d-4156-8cfe-98f0fdbb2147","metadata":{"language":"python"},"source":"## Data Preparation\n\nThe datasets we'll utilize comprise two types of network traffic:\n\n1. Benign (normal)\n2. Malicious (attack)\n\nstemming from various network attacks. Our focus will be solely on web-based attacks. These web attacks fall into three common categories:\n\n1. Cross-site scripting (BruteForce-XSS)\n2. SQL-Injection (SQL-Injection)\n3. Brute force attempts on administrative and user passwords (BruteForce-Web)\n\nThe original data was collected over a span of two days.\n\n### Download Data\n\nWe'll proceed by downloading data for two specific dates:\n\n1. February 22, 2018\n2. February 23, 2018\n\nThese files will be retrieved and saved to the current directory. Our intention is to use one of these dates for training and generating vectors, while the other will be reserved for testing purposes."},{"cell_type":"code","execution_count":8,"id":"47a639f2-1f03-4972-8212-316887cc1c73","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:12:32.057896Z","iopub.status.busy":"2023-10-04T15:12:32.057596Z","iopub.status.idle":"2023-10-04T15:12:43.448204Z","shell.execute_reply":"2023-10-04T15:12:43.447571Z","shell.execute_reply.started":"2023-10-04T15:12:32.057874Z"},"language":"python","tags":[],"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"Thursday-22-02-2018 100%[===================>] 364.91M 57.0MB/s in 5.8s \nFriday-23-02-2018_T 100%[===================>] 365.10M 78.5MB/s in 4.7s \n"}],"source":"!wget \"https://cse-cic-ids2018.s3.ca-central-1.amazonaws.com/Processed%20Traffic%20Data%20for%20ML%20Algorithms/Thursday-22-02-2018_TrafficForML_CICFlowMeter.csv\" -q --show-progress\n!wget \"https://cse-cic-ids2018.s3.ca-central-1.amazonaws.com/Processed%20Traffic%20Data%20for%20ML%20Algorithms/Friday-23-02-2018_TrafficForML_CICFlowMeter.csv\" -q --show-progress"},{"cell_type":"markdown","id":"21103ba6-036d-4525-9e5a-073ec515aba9","metadata":{"execution":{"iopub.execute_input":"2023-09-27T15:17:45.604442Z","iopub.status.busy":"2023-09-27T15:17:45.604182Z","iopub.status.idle":"2023-09-27T15:17:45.607166Z","shell.execute_reply":"2023-09-27T15:17:45.606518Z","shell.execute_reply.started":"2023-09-27T15:17:45.604422Z"},"language":"python"},"source":"### Review Data"},{"cell_type":"code","execution_count":14,"id":"c17e283b-8629-483a-9631-69392b3b872e","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:12:49.959451Z","iopub.status.busy":"2023-10-04T15:12:49.959246Z","iopub.status.idle":"2023-10-04T15:12:55.095007Z","shell.execute_reply":"2023-10-04T15:12:55.094492Z","shell.execute_reply.started":"2023-10-04T15:12:49.959434Z"},"language":"python","tags":[],"trusted":true},"outputs":[{"data":{"text/plain":"Label\nBenign 1048009\nBrute Force -Web 362\nBrute Force -XSS 151\nSQL Injection 53\nName: count, dtype: int64"},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":"with clear_memory():\n data = pd.read_csv('Friday-23-02-2018_TrafficForML_CICFlowMeter.csv')\n\ndata.Label.value_counts()"},{"cell_type":"markdown","id":"176bc1e1-822e-4e22-a5fa-0dd03d6ecf04","metadata":{"language":"python"},"source":"### Clean Data\n\nWe'll run a cleanup script from the previously downloaded GitHub repo."},{"cell_type":"code","execution_count":17,"id":"af4f1d28-cba5-4547-a2bd-a34b200fc261","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:13:01.860976Z","iopub.status.busy":"2023-10-04T15:13:01.860721Z","iopub.status.idle":"2023-10-04T15:13:47.515247Z","shell.execute_reply":"2023-10-04T15:13:47.514670Z","shell.execute_reply.started":"2023-10-04T15:13:01.860959Z"},"language":"python","tags":[],"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"cleaning Friday-23-02-2018_TrafficForML_CICFlowMeter.csv\ntotal rows read = 1048576\nall done writing 1042868 rows; dropped 5708 rows\n"}],"source":"!python DeepLearning-IDS/data_cleanup.py \"Friday-23-02-2018_TrafficForML_CICFlowMeter.csv\" \"result23022018\""},{"cell_type":"markdown","id":"15fd1f07-d8a1-4ab5-a36c-5a08f1f043e9","metadata":{"language":"python"},"source":"We'll now review the cleaned data from the previous step."},{"cell_type":"code","execution_count":18,"id":"d893178a-6bcc-4a16-89ef-f3559adad14c","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:13:58.399760Z","iopub.status.busy":"2023-10-04T15:13:58.399474Z","iopub.status.idle":"2023-10-04T15:14:03.115597Z","shell.execute_reply":"2023-10-04T15:14:03.115048Z","shell.execute_reply.started":"2023-10-04T15:13:58.399739Z"},"language":"python","tags":[],"trusted":true},"outputs":[{"data":{"text/html":"
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Dst PortProtocolTimestampFlow DurationTot Fwd PktsTot Bwd PktsTotLen Fwd PktsTotLen Bwd PktsFwd Pkt Len MaxFwd Pkt Len Min...Fwd Seg Size MinActive MeanActive StdActive MaxActive MinIdle MeanIdle StdIdle MaxIdle MinLabel
02261.519374e+0915326981111117919696480...320.00.0000.00.000000e+0000Benign
1500171.519374e+091175738553015000500500...80.00.00058786927.52.375324e+077558300641990849Benign
2500171.519374e+091175738483015000500500...80.00.00058786924.02.375325e+077558300741990841Benign
32261.519374e+0917453921111117919696480...320.00.0000.00.000000e+0000Benign
4500171.519374e+09894834746030000500500...84000364.00.04000364400036421370777.51.528092e+07419895767200485Benign
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5 rows × 80 columns

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","text/plain":" Dst Port Protocol Timestamp Flow Duration Tot Fwd Pkts \\\n0 22 6 1.519374e+09 1532698 11 \n1 500 17 1.519374e+09 117573855 3 \n2 500 17 1.519374e+09 117573848 3 \n3 22 6 1.519374e+09 1745392 11 \n4 500 17 1.519374e+09 89483474 6 \n\n Tot Bwd Pkts TotLen Fwd Pkts TotLen Bwd Pkts Fwd Pkt Len Max \\\n0 11 1179 1969 648 \n1 0 1500 0 500 \n2 0 1500 0 500 \n3 11 1179 1969 648 \n4 0 3000 0 500 \n\n Fwd Pkt Len Min ... Fwd Seg Size Min Active Mean Active Std \\\n0 0 ... 32 0.0 0.0 \n1 500 ... 8 0.0 0.0 \n2 500 ... 8 0.0 0.0 \n3 0 ... 32 0.0 0.0 \n4 500 ... 8 4000364.0 0.0 \n\n Active Max Active Min Idle Mean Idle Std Idle Max Idle Min \\\n0 0 0 0.0 0.000000e+00 0 0 \n1 0 0 58786927.5 2.375324e+07 75583006 41990849 \n2 0 0 58786924.0 2.375325e+07 75583007 41990841 \n3 0 0 0.0 0.000000e+00 0 0 \n4 4000364 4000364 21370777.5 1.528092e+07 41989576 7200485 \n\n Label \n0 Benign \n1 Benign \n2 Benign \n3 Benign \n4 Benign \n\n[5 rows x 80 columns]"},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":"with clear_memory():\n data_23_cleaned = pd.read_csv('result23022018.csv')\n\ndata_23_cleaned.head()"},{"cell_type":"code","execution_count":19,"id":"d98eee6b-6a68-4fb6-b418-1599daa9e4ff","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:14:09.241483Z","iopub.status.busy":"2023-10-04T15:14:09.241237Z","iopub.status.idle":"2023-10-04T15:14:09.283891Z","shell.execute_reply":"2023-10-04T15:14:09.283370Z","shell.execute_reply.started":"2023-10-04T15:14:09.241467Z"},"language":"python","tags":[],"trusted":true},"outputs":[{"data":{"text/plain":"Label\nBenign 1042301\nBrute Force -Web 362\nBrute Force -XSS 151\nSQL Injection 53\nName: count, dtype: int64"},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":"data_23_cleaned.Label.value_counts()"},{"cell_type":"markdown","id":"1b466f2f-ee4f-43ba-b1e6-0cb3380c9125","metadata":{"language":"python"},"source":"## Load Model\n\nIn this section, we'll load a pre-trained model that has been trained on data collected from the same date.\n\nThere are slight modifications to the original model, specifically, altering the number of classes. Initially, the model was designed to classify into four categories:\n\n1. Benign\n2. BruteForce-Web\n3. BruteForce-XSS\n4. SQL-Injection\n\nOur modified model has been adjusted to classify into just two categories:\n\n1. Benign\n2. Attack\n\n
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Action Required

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The ZIP file is hosted on a Google Drive.

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Using the Edit Firewall button in the top right, add the following to the SingleStoreDB Cloud notebook firewall, one-by-one:\n

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"},{"cell_type":"code","execution_count":20,"id":"4074a769-b16b-4543-b0db-518c7f95f205","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:14:18.247758Z","iopub.status.busy":"2023-10-04T15:14:18.247504Z","iopub.status.idle":"2023-10-04T15:14:20.107308Z","shell.execute_reply":"2023-10-04T15:14:20.106660Z","shell.execute_reply.started":"2023-10-04T15:14:18.247741Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":"!wget -q -O it_threat_model.zip \"https://drive.google.com/uc?export=download&id=1ahr5dYlhuxS56M6helUFI0yIxxIoFk9o\" \n!unzip -q it_threat_model.zip"},{"cell_type":"code","execution_count":21,"id":"7c77cf96-e3f7-4bed-9f7e-913f851367d8","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:14:26.353287Z","iopub.status.busy":"2023-10-04T15:14:26.352961Z","iopub.status.idle":"2023-10-04T15:14:26.688942Z","shell.execute_reply":"2023-10-04T15:14:26.688380Z","shell.execute_reply.started":"2023-10-04T15:14:26.353263Z"},"language":"python","tags":[],"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"Model: \"sequential\"\n_________________________________________________________________\n Layer (type) Output Shape Param # \n=================================================================\n dense (Dense) (None, 128) 10240 \n \n dense_1 (Dense) (None, 64) 8256 \n \n dense_2 (Dense) (None, 1) 65 \n \n=================================================================\nTotal params: 18561 (72.50 KB)\nTrainable params: 18561 (72.50 KB)\nNon-trainable params: 0 (0.00 Byte)\n_________________________________________________________________\n"}],"source":"with clear_memory():\n model = keras.models.load_model('it_threat_model')\n\nmodel.summary()"},{"cell_type":"code","execution_count":22,"id":"ed66c137-1023-4dce-b9ea-5e742099302e","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:14:34.082125Z","iopub.status.busy":"2023-10-04T15:14:34.081856Z","iopub.status.idle":"2023-10-04T15:14:34.224177Z","shell.execute_reply":"2023-10-04T15:14:34.223680Z","shell.execute_reply.started":"2023-10-04T15:14:34.082108Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":"with clear_memory():\n # Use the first layer\n layer_name = 'dense'\n intermediate_layer_model = Model(\n inputs = model.input,\n outputs = model.get_layer(layer_name).output\n )"},{"cell_type":"markdown","id":"24d3bfbb-78ee-4a8b-a429-84f988915b6d","metadata":{"language":"python"},"source":"## Upload Data to SingleStoreDB\n\n### Prepare Data\nWe'll use a method for defining item IDs that aligns with the event's label."},{"cell_type":"code","execution_count":23,"id":"ae1fc38e-f532-430a-99cd-f3e154343bd4","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:14:41.159100Z","iopub.status.busy":"2023-10-04T15:14:41.158708Z","iopub.status.idle":"2023-10-04T15:16:14.701123Z","shell.execute_reply":"2023-10-04T15:16:14.700506Z","shell.execute_reply.started":"2023-10-04T15:14:41.159081Z"},"language":"python","tags":[],"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"32590/32590 [==============================] - 26s 797us/step\n"},{"name":"stderr","output_type":"stream","text":"100%|██████████| 1042867/1042867 [00:50<00:00, 20810.99it/s]\n"}],"source":"from tqdm import tqdm\nitems_to_upload = []\n\nwith clear_memory():\n model_res = intermediate_layer_model.predict(K.constant(data_23_cleaned.iloc[:,:-1]))\n \n for i, res in tqdm(zip(data_23_cleaned.iterrows(), model_res), total = len(model_res)):\n benign_or_attack = i[1]['Label'][:3]\n items_to_upload.append((benign_or_attack + '_' + str(i[0]), res.tolist()))"},{"cell_type":"markdown","id":"e4b3f74e-efea-499e-b25a-74316fcf2395","metadata":{"language":"python"},"source":"We'll store the data in a Pandas DataFrame."},{"cell_type":"code","execution_count":29,"id":"0177714c-62b7-4d3e-a93b-2fd467ff1352","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:17:45.778441Z","iopub.status.busy":"2023-10-04T15:17:45.778183Z","iopub.status.idle":"2023-10-04T15:17:47.525268Z","shell.execute_reply":"2023-10-04T15:17:47.524802Z","shell.execute_reply.started":"2023-10-04T15:17:45.778425Z"},"language":"python","tags":[],"trusted":true},"outputs":[{"data":{"text/html":"
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IDModel_Results
0Ben_0[0.0, 0.0, 0.0, 125628656.0, 0.0, 0.0, 5421442...
1Ben_1[0.0, 0.0, 0.0, 356751744.0, 1190461440.0, 0.0...
2Ben_2[0.0, 0.0, 0.0, 356751680.0, 1190461440.0, 0.0...
3Ben_3[0.0, 0.0, 0.0, 125515856.0, 0.0, 0.0, 5432884...
4Ben_4[0.0, 0.0, 0.0, 26214912.0, 698683840.0, 0.0, ...
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","text/plain":" ID Model_Results\n0 Ben_0 [0.0, 0.0, 0.0, 125628656.0, 0.0, 0.0, 5421442...\n1 Ben_1 [0.0, 0.0, 0.0, 356751744.0, 1190461440.0, 0.0...\n2 Ben_2 [0.0, 0.0, 0.0, 356751680.0, 1190461440.0, 0.0...\n3 Ben_3 [0.0, 0.0, 0.0, 125515856.0, 0.0, 0.0, 5432884...\n4 Ben_4 [0.0, 0.0, 0.0, 26214912.0, 698683840.0, 0.0, ..."},"execution_count":29,"metadata":{},"output_type":"execute_result"}],"source":"with clear_memory():\n df = pd.DataFrame(items_to_upload, columns=['ID', 'Model_Results'])\n\ndf.head()"},{"cell_type":"markdown","id":"f52639f6-82c8-427f-aa7b-9859d6580eae","metadata":{"language":"python"},"source":"Now we'll convert the vectors to a binary format, ready to store in SingleStoreDB."},{"cell_type":"code","execution_count":30,"id":"ec8a2d26-98cf-4f1a-9e13-e197cd65040c","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:17:53.975325Z","iopub.status.busy":"2023-10-04T15:17:53.975066Z","iopub.status.idle":"2023-10-04T15:17:57.811281Z","shell.execute_reply":"2023-10-04T15:17:57.810738Z","shell.execute_reply.started":"2023-10-04T15:17:53.975308Z"},"language":"python","trusted":true},"outputs":[],"source":"import struct\n\ndef data_to_binary(data: list[float]):\n format_string = 'f' * len(data)\n return struct.pack(format_string, *data)\n\nwith clear_memory():\n df['Model_Results'] = df['Model_Results'].apply(data_to_binary)"},{"cell_type":"markdown","id":"e267e6a4-3e70-4411-96cd-94da3f1f6011","metadata":{"language":"python"},"source":"We'll check the DataFrame."},{"cell_type":"code","execution_count":31,"id":"770cfe1e-4d55-43a8-a5e0-36da2525ca25","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:18:02.459555Z","iopub.status.busy":"2023-10-04T15:18:02.459286Z","iopub.status.idle":"2023-10-04T15:18:02.466500Z","shell.execute_reply":"2023-10-04T15:18:02.465962Z","shell.execute_reply.started":"2023-10-04T15:18:02.459538Z"},"language":"python","trusted":true},"outputs":[{"data":{"text/html":"
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IDModel_Results
0Ben_0b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00...
1Ben_1b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00...
2Ben_2b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00...
3Ben_3b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00...
4Ben_4b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00...
\n
","text/plain":" ID Model_Results\n0 Ben_0 b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00...\n1 Ben_1 b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00...\n2 Ben_2 b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00...\n3 Ben_3 b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00...\n4 Ben_4 b'\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00..."},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":"df.head()"},{"cell_type":"markdown","id":"8131ad6c-6d50-49db-845c-457e9957ddb9","metadata":{"language":"python"},"source":"### Create Database and Table"},{"cell_type":"code","execution_count":34,"id":"8940168f-072f-42cd-8855-4c6b6829421d","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:18:54.107461Z","iopub.status.busy":"2023-10-04T15:18:54.107206Z","iopub.status.idle":"2023-10-04T15:19:02.426902Z","shell.execute_reply":"2023-10-04T15:19:02.426343Z","shell.execute_reply.started":"2023-10-04T15:18:54.107444Z"},"language":"sql","tags":[],"trusted":true},"outputs":[{"data":{"text/html":"\n \n \n \n \n \n \n
","text/plain":"++\n||\n++\n++"},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":"%%sql\n%%sql\nDROP DATABASE IF EXISTS siem_log_kafka_demo;\n\nCREATE DATABASE IF NOT EXISTS siem_log_kafka_demo;\n\nUSE siem_log_kafka_demo;\n\nDROP TABLE IF EXISTS model_results_demo;\n\nCREATE TABLE IF NOT EXISTS model_results (\n id TEXT,\n Model_Results BLOB\n);"},{"cell_type":"markdown","id":"b6390a0c-d60a-4876-85bd-56e17deabeeb","metadata":{"language":"python"},"source":"### Get Connection Details\n\n
\n \n
\n

Action Required

\n

Select the database from the drop-down menu at the top of this notebook. It updates the connection_url which is used by SQLAlchemy to make connections to the selected database.

\n
\n
"},{"cell_type":"code","execution_count":36,"id":"8208b373-1973-4925-8d8a-cd43ba13e7d7","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:19:22.359227Z","iopub.status.busy":"2023-10-04T15:19:22.358972Z","iopub.status.idle":"2023-10-04T15:19:22.363216Z","shell.execute_reply":"2023-10-04T15:19:22.362608Z","shell.execute_reply.started":"2023-10-04T15:19:22.359211Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":"from sqlalchemy import *\n\ndb_connection = create_engine(connection_url)"},{"cell_type":"markdown","id":"d97c6886-0ea9-47b5-938b-03ada717b394","metadata":{"execution":{"iopub.execute_input":"2023-09-27T15:37:17.351200Z","iopub.status.busy":"2023-09-27T15:37:17.350962Z","iopub.status.idle":"2023-09-27T15:37:17.354770Z","shell.execute_reply":"2023-09-27T15:37:17.353988Z","shell.execute_reply.started":"2023-09-27T15:37:17.351170Z"},"language":"python"},"source":"### Store DataFrame"},{"cell_type":"code","execution_count":37,"id":"e70b91a0-fdb9-46da-8c0d-5acc947799be","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:19:28.729452Z","iopub.status.busy":"2023-10-04T15:19:28.729169Z","iopub.status.idle":"2023-10-04T15:22:34.401289Z","shell.execute_reply":"2023-10-04T15:22:34.400783Z","shell.execute_reply.started":"2023-10-04T15:19:28.729435Z"},"language":"python","trusted":true},"outputs":[],"source":"with clear_memory():\n df.to_sql(\n 'model_results',\n con = db_connection,\n if_exists = 'append',\n index = False,\n chunksize = 1000\n )"},{"cell_type":"markdown","id":"559928bd-10a0-4880-805a-23444d7d72a3","metadata":{"language":"python"},"source":"### Check Stored Data"},{"cell_type":"code","execution_count":47,"id":"f4cb8e7f-362f-4477-8600-e5f39ec197b8","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:22:52.838607Z","iopub.status.busy":"2023-10-04T15:22:52.838359Z","iopub.status.idle":"2023-10-04T15:22:53.253409Z","shell.execute_reply":"2023-10-04T15:22:53.252952Z","shell.execute_reply.started":"2023-10-04T15:22:52.838591Z"},"language":"sql","trusted":true},"outputs":[{"data":{"text/html":"\n \n \n \n \n \n \n \n \n \n \n \n \n
IDModel_Results
Ben_764632[0, 0, 0, 161398336, 0, 0, 91465440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 186428320, 0, 0, 0, 167306864, 0, 0, 277207904, 0, 92328576, 73124928, 0, 0, 0, 95751136, 0, 0, 0, 0, 0, 0, 0, 0, 230162768, 273622432, 511405120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 145775152, 106490400, 373456928, 0, 0, 0, 211604256, 30848250, 0, 0, 0, 0, 326004800, 0, 0, 0, 0, 13625428, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248507264, 0, 121489904, 196521904, 0, 2331058, 0, 0, 234076784, 247954704, 0, 0, 16321682, 0, 0, 0, 343808992, 0, 0, 0, 74993352, 0, 0, 59710728, 0, 0, 89274704, 0, 174431776, 107296112, 0, 0, 134864096, 0, 0]
","text/plain":"+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+\n| ID | Model_Results |\n+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+\n| Ben_764632 | [0, 0, 0, 161398336, 0, 0, 91465440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 186428320, 0, 0, 0, 167306864, 0, 0, 277207904, 0, 92328576, 73124928, 0, 0, 0, 95751136, 0, 0, 0, 0, 0, 0, 0, 0, 230162768, 273622432, 511405120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 145775152, 106490400, 373456928, 0, 0, 0, 211604256, 30848250, 0, 0, 0, 0, 326004800, 0, 0, 0, 0, 13625428, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248507264, 0, 121489904, 196521904, 0, 2331058, 0, 0, 234076784, 247954704, 0, 0, 16321682, 0, 0, 0, 343808992, 0, 0, 0, 74993352, 0, 0, 59710728, 0, 0, 89274704, 0, 174431776, 107296112, 0, 0, 134864096, 0, 0] |\n+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+"},"execution_count":47,"metadata":{},"output_type":"execute_result"}],"source":"%%sql\n%%sql\nUSE siem_log_kafka_demo;\n\nSELECT ID, JSON_ARRAY_UNPACK(Model_Results) AS Model_Results\nFROM model_results\nLIMIT 1;"}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.4"},"singlestore_connection":{"connectionID":"a98658e6-5e5d-4be9-be2e-9fa993172504","defaultDatabase":""},"singlestore_row_limit":300},"nbformat":4,"nbformat_minor":5} \ No newline at end of file +{ + "cells": [ + { + "cell_type": "markdown", + "id": "93ad2bda-e101-4aad-a83b-45f84560597c", + "metadata": {}, + "source": [ + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + "
SingleStore Notebooks
\n", + "

IT Threat Detection, Part 1

\n", + "
\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "4d343fe9-0c6f-4cf7-bf04-02524cdb5879", + "metadata": {}, + "source": [ + "This notebook demonstrates the application of SingleStoreDB's similarity search to create a system for identifying infrequent occurrences, a common requirement in fields such as cybersecurity and fraud detection where only a small percentage of events are potentially malicious.\n", + "\n", + "In this instance, we aim to construct a network intrusion detection system. These systems continuously monitor incoming and outgoing network traffic, generating alerts when potential threats are detected. We'll utilize a combination of a deep learning model and similarity search to identify and classify network intrusion traffic.\n", + "\n", + "Our initial step involves a dataset of labeled traffic events, distinguishing between benign and malicious events, by transforming them into vector embeddings. These vector embeddings serve as comprehensive mathematical representations of network traffic events. SingleStoreDB's built-in similarity-search algorithms allow us to measure the similarity between different network events. To generate these embeddings, we'll leverage a deep learning model based on recent academic research.\n", + "\n", + "Subsequently, we'll apply this dataset to search for the most similar matches when presented with new, unseen network events. We'll retrieve these matches along with their corresponding labels. This process enables us to classify the unseen events as either **benign** or **malicious** by propagating the labels of the matched events. It's essential to note that intrusion detection is a complex classification task, primarily because malicious events occur infrequently. The similarity search service plays a crucial role in identifying relevant historical labeled events, thus enabling the identification of these rare events while maintaining a low rate of false alarms.\n", + "\n", + "## Install Dependencies" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "c649045f-0a53-4c49-88cb-0351e872d68c", + "metadata": {}, + "outputs": [], + "source": [ + "!pip3 install tensorflow keras pandas --upgrade --quiet" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f3bb35f9-67ea-4a23-b713-888746494baf", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n", + "\n", + "import pandas as pd\n", + "import tensorflow.keras.backend as K\n", + "from tensorflow import keras\n", + "from tensorflow.keras.models import Model" + ] + }, + { + "cell_type": "markdown", + "id": "01fa2a0b-0213-4399-8481-adc1734cecf0", + "metadata": {}, + "source": [ + "We'll define a Python context manager called `clear_memory()` using the **contextlib** module. This context manager will be used to clear memory by running Python's garbage collector (`gc.collect()`) after a block of code is executed." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b7b5a0c6-aef9-4fea-91d9-8777e75d5c1f", + "metadata": {}, + "outputs": [], + "source": [ + "import contextlib\n", + "import gc\n", + "\n", + "@contextlib.contextmanager\n", + "def clear_memory():\n", + " try:\n", + " yield\n", + " finally:\n", + " gc.collect()" + ] + }, + { + "cell_type": "markdown", + "id": "6eaabcc0-3bfa-4c67-86cd-8b3a42150a6f", + "metadata": {}, + "source": [ + "We'll will incorporate portions of code from [research work](https://github.com/Colorado-Mesa-University-Cybersecurity/DeepLearning-IDS). To begin, we'll clone the repository required for data preparation." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "1d06bd7a-f3ad-4c3a-a085-d8583d20e2bc", + "metadata": {}, + "outputs": [], + "source": [ + "!git clone -q https://github.com/Colorado-Mesa-University-Cybersecurity/DeepLearning-IDS.git" + ] + }, + { + "cell_type": "markdown", + "id": "8c323aab-899d-4156-8cfe-98f0fdbb2147", + "metadata": {}, + "source": [ + "## Data Preparation\n", + "\n", + "The datasets we'll utilize comprise two types of network traffic:\n", + "\n", + "1. Benign (normal)\n", + "2. Malicious (attack)\n", + "\n", + "stemming from various network attacks. Our focus will be solely on web-based attacks. These web attacks fall into three common categories:\n", + "\n", + "1. Cross-site scripting (BruteForce-XSS)\n", + "2. SQL-Injection (SQL-Injection)\n", + "3. Brute force attempts on administrative and user passwords (BruteForce-Web)\n", + "\n", + "The original data was collected over a span of two days.\n", + "\n", + "### Download Data\n", + "\n", + "We'll proceed by downloading data for two specific dates:\n", + "\n", + "1. February 22, 2018\n", + "2. February 23, 2018\n", + "\n", + "These files will be retrieved and saved to the current directory. Our intention is to use one of these dates for training and generating vectors, while the other will be reserved for testing purposes." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "47a639f2-1f03-4972-8212-316887cc1c73", + "metadata": {}, + "outputs": [], + "source": [ + "!wget \"https://cse-cic-ids2018.s3.ca-central-1.amazonaws.com/Processed%20Traffic%20Data%20for%20ML%20Algorithms/Thursday-22-02-2018_TrafficForML_CICFlowMeter.csv\" -q --show-progress\n", + "!wget \"https://cse-cic-ids2018.s3.ca-central-1.amazonaws.com/Processed%20Traffic%20Data%20for%20ML%20Algorithms/Friday-23-02-2018_TrafficForML_CICFlowMeter.csv\" -q --show-progress" + ] + }, + { + "cell_type": "markdown", + "id": "21103ba6-036d-4525-9e5a-073ec515aba9", + "metadata": {}, + "source": [ + "### Review Data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c17e283b-8629-483a-9631-69392b3b872e", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " data = pd.read_csv('Friday-23-02-2018_TrafficForML_CICFlowMeter.csv')\n", + "\n", + "data.Label.value_counts()" + ] + }, + { + "cell_type": "markdown", + "id": "176bc1e1-822e-4e22-a5fa-0dd03d6ecf04", + "metadata": {}, + "source": [ + "### Clean Data\n", + "\n", + "We'll run a cleanup script from the previously downloaded GitHub repo." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "af4f1d28-cba5-4547-a2bd-a34b200fc261", + "metadata": {}, + "outputs": [], + "source": [ + "!python DeepLearning-IDS/data_cleanup.py \"Friday-23-02-2018_TrafficForML_CICFlowMeter.csv\" \"result23022018\"" + ] + }, + { + "cell_type": "markdown", + "id": "15fd1f07-d8a1-4ab5-a36c-5a08f1f043e9", + "metadata": {}, + "source": [ + "We'll now review the cleaned data from the previous step." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d893178a-6bcc-4a16-89ef-f3559adad14c", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " data_23_cleaned = pd.read_csv('result23022018.csv')\n", + "\n", + "data_23_cleaned.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d98eee6b-6a68-4fb6-b418-1599daa9e4ff", + "metadata": {}, + "outputs": [], + "source": [ + "data_23_cleaned.Label.value_counts()" + ] + }, + { + "cell_type": "markdown", + "id": "1b466f2f-ee4f-43ba-b1e6-0cb3380c9125", + "metadata": {}, + "source": [ + "## Load Model\n", + "\n", + "In this section, we'll load a pre-trained model that has been trained on data collected from the same date.\n", + "\n", + "There are slight modifications to the original model, specifically, altering the number of classes. Initially, the model was designed to classify into four categories:\n", + "\n", + "1. Benign\n", + "2. BruteForce-Web\n", + "3. BruteForce-XSS\n", + "4. SQL-Injection\n", + "\n", + "Our modified model has been adjusted to classify into just two categories:\n", + "\n", + "1. Benign\n", + "2. Attack\n", + "\n", + "
\n", + " \n", + "
\n", + "

Action Required

\n", + "

The ZIP file is hosted on a Google Drive.

\n", + "

Using the Edit Firewall button in the top right, add the following to the SingleStoreDB Cloud notebook firewall, one-by-one:\n", + "

\n", + "

\n", + "
\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "4074a769-b16b-4543-b0db-518c7f95f205", + "metadata": {}, + "outputs": [], + "source": [ + "!wget -q -O it_threat_model.zip \"https://drive.google.com/uc?export=download&id=1ahr5dYlhuxS56M6helUFI0yIxxIoFk9o\"\n", + "!unzip -q it_threat_model.zip" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "7c77cf96-e3f7-4bed-9f7e-913f851367d8", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " model = keras.models.load_model('it_threat_model')\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ed66c137-1023-4dce-b9ea-5e742099302e", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " # Use the first layer\n", + " layer_name = 'dense'\n", + " intermediate_layer_model = Model(\n", + " inputs = model.input,\n", + " outputs = model.get_layer(layer_name).output\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "24d3bfbb-78ee-4a8b-a429-84f988915b6d", + "metadata": {}, + "source": [ + "## Upload Data to SingleStoreDB\n", + "\n", + "### Prepare Data\n", + "We'll use a method for defining item IDs that aligns with the event's label." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "ae1fc38e-f532-430a-99cd-f3e154343bd4", + "metadata": {}, + "outputs": [], + "source": [ + "from tqdm import tqdm\n", + "items_to_upload = []\n", + "\n", + "with clear_memory():\n", + " model_res = intermediate_layer_model.predict(K.constant(data_23_cleaned.iloc[:,:-1]))\n", + "\n", + " for i, res in tqdm(zip(data_23_cleaned.iterrows(), model_res), total = len(model_res)):\n", + " benign_or_attack = i[1]['Label'][:3]\n", + " items_to_upload.append((benign_or_attack + '_' + str(i[0]), res.tolist()))" + ] + }, + { + "cell_type": "markdown", + "id": "e4b3f74e-efea-499e-b25a-74316fcf2395", + "metadata": {}, + "source": [ + "We'll store the data in a Pandas DataFrame." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0177714c-62b7-4d3e-a93b-2fd467ff1352", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " df = pd.DataFrame(items_to_upload, columns=['ID', 'Model_Results'])\n", + "\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "f52639f6-82c8-427f-aa7b-9859d6580eae", + "metadata": {}, + "source": [ + "Now we'll convert the vectors to a binary format, ready to store in SingleStoreDB." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "ec8a2d26-98cf-4f1a-9e13-e197cd65040c", + "metadata": {}, + "outputs": [], + "source": [ + "import struct\n", + "\n", + "def data_to_binary(data: list[float]):\n", + " format_string = 'f' * len(data)\n", + " return struct.pack(format_string, *data)\n", + "\n", + "with clear_memory():\n", + " df['Model_Results'] = df['Model_Results'].apply(data_to_binary)" + ] + }, + { + "cell_type": "markdown", + "id": "e267e6a4-3e70-4411-96cd-94da3f1f6011", + "metadata": {}, + "source": [ + "We'll check the DataFrame." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "770cfe1e-4d55-43a8-a5e0-36da2525ca25", + "metadata": {}, + "outputs": [], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "8131ad6c-6d50-49db-845c-457e9957ddb9", + "metadata": {}, + "source": [ + "### Create Database and Table" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8940168f-072f-42cd-8855-4c6b6829421d", + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "%%sql\n", + "DROP DATABASE IF EXISTS siem_log_kafka_demo;\n", + "\n", + "CREATE DATABASE IF NOT EXISTS siem_log_kafka_demo;\n", + "\n", + "USE siem_log_kafka_demo;\n", + "\n", + "DROP TABLE IF EXISTS model_results_demo;\n", + "\n", + "CREATE TABLE IF NOT EXISTS model_results (\n", + " id TEXT,\n", + " Model_Results BLOB\n", + ");" + ] + }, + { + "cell_type": "markdown", + "id": "b6390a0c-d60a-4876-85bd-56e17deabeeb", + "metadata": {}, + "source": [ + "### Get Connection Details\n", + "\n", + "
\n", + " \n", + "
\n", + "

Action Required

\n", + "

Select the database from the drop-down menu at the top of this notebook. It updates the connection_url which is used by SQLAlchemy to make connections to the selected database.

\n", + "
\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8208b373-1973-4925-8d8a-cd43ba13e7d7", + "metadata": {}, + "outputs": [], + "source": [ + "from sqlalchemy import *\n", + "\n", + "db_connection = create_engine(connection_url)" + ] + }, + { + "cell_type": "markdown", + "id": "d97c6886-0ea9-47b5-938b-03ada717b394", + "metadata": {}, + "source": [ + "### Store DataFrame" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "e70b91a0-fdb9-46da-8c0d-5acc947799be", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " df.to_sql(\n", + " 'model_results',\n", + " con = db_connection,\n", + " if_exists = 'append',\n", + " index = False,\n", + " chunksize = 1000\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "559928bd-10a0-4880-805a-23444d7d72a3", + "metadata": {}, + "source": [ + "### Check Stored Data" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f4cb8e7f-362f-4477-8600-e5f39ec197b8", + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "%%sql\n", + "USE siem_log_kafka_demo;\n", + "\n", + "SELECT ID, JSON_ARRAY_UNPACK(Model_Results) AS Model_Results\n", + "FROM model_results\n", + "LIMIT 1;" + ] + }, + { + "cell_type": "markdown", + "id": "e4eb9309-df32-42f3-b170-51c49b175855", + "metadata": {}, + "source": [ + "
\n", + "
" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/network-intrusion-detection-part-2/meta.toml b/notebooks/network-intrusion-detection-part-2/meta.toml index 9a202b7..7f431b9 100644 --- a/notebooks/network-intrusion-detection-part-2/meta.toml +++ b/notebooks/network-intrusion-detection-part-2/meta.toml @@ -1,6 +1,8 @@ [meta] -title="Part 2 or Real-time threat Detection - Validate the accuracy of the threat detection model with a test dataset -" +title="IT Threat Detection, Part 2" +description="""\ + Part 2 or Real-time threat Detection - Validate the accuracy of the + threat detection model with a test dataset""" icon="browser" tags=["iot", "cybersecurity", "training", "vectordb"] -destinations=["spaces"] \ No newline at end of file +destinations=["spaces"] diff --git a/notebooks/network-intrusion-detection-part-2/notebook.ipynb b/notebooks/network-intrusion-detection-part-2/notebook.ipynb index 015a890..464a662 100644 --- a/notebooks/network-intrusion-detection-part-2/notebook.ipynb +++ b/notebooks/network-intrusion-detection-part-2/notebook.ipynb @@ -1 +1,650 @@ -{"cells":[{"cell_type":"markdown","id":"d62916d4-c174-4708-92b1-b6940fa5a861","metadata":{"language":"python"},"source":"
\n
\n \n
\n
\n
SingleStore Notebooks
\n

IT Threat Detection, Part 2

\n
\n
"},{"cell_type":"markdown","id":"59521b37-8c16-4713-b341-dcf4d020ef88","metadata":{"language":"python"},"source":"## Install Dependencies"},{"cell_type":"code","execution_count":7,"id":"c649045f-0a53-4c49-88cb-0351e872d68c","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:25:39.154518Z","iopub.status.busy":"2023-10-04T15:25:39.154237Z","iopub.status.idle":"2023-10-04T15:25:46.672297Z","shell.execute_reply":"2023-10-04T15:25:46.671674Z","shell.execute_reply.started":"2023-10-04T15:25:39.154501Z"},"language":"python","trusted":true},"outputs":[],"source":"!pip3 install tensorflow keras scikit-learn pandas --upgrade --quiet"},{"cell_type":"code","execution_count":8,"id":"f3bb35f9-67ea-4a23-b713-888746494baf","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:25:50.440874Z","iopub.status.busy":"2023-10-04T15:25:50.440598Z","iopub.status.idle":"2023-10-04T15:25:53.802416Z","shell.execute_reply":"2023-10-04T15:25:53.801316Z","shell.execute_reply.started":"2023-10-04T15:25:50.440853Z"},"language":"python","trusted":true},"outputs":[],"source":"import os\nos.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n\nimport pandas as pd\nimport tensorflow.keras.backend as K\nfrom collections import Counter\nfrom sklearn.metrics import accuracy_score, precision_score, recall_score\nfrom sklearn.metrics import confusion_matrix\nfrom tensorflow import keras\nfrom tensorflow.keras.models import Model"},{"cell_type":"markdown","id":"7f949377-d93b-43d3-b9e1-2fb910f843fd","metadata":{"language":"python"},"source":"We'll define a Python context manager called `clear_memory()` using the **contextlib** module. This context manager will be used to clear memory by running Python's garbage collector (`gc.collect()`) after a block of code is executed."},{"cell_type":"code","execution_count":9,"id":"00eccb20-5b95-4383-88c4-2dff1b494a1f","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:25:58.943482Z","iopub.status.busy":"2023-10-04T15:25:58.943033Z","iopub.status.idle":"2023-10-04T15:25:58.946633Z","shell.execute_reply":"2023-10-04T15:25:58.946046Z","shell.execute_reply.started":"2023-10-04T15:25:58.943463Z"},"language":"python","trusted":true},"outputs":[],"source":"import contextlib\nimport gc\n\n@contextlib.contextmanager\ndef clear_memory():\n try:\n yield\n finally:\n gc.collect()"},{"cell_type":"markdown","id":"b06e5a33-bf7f-41ea-85fd-1b13871c40e9","metadata":{"language":"python"},"source":"## Load Model"},{"cell_type":"code","execution_count":10,"id":"7c77cf96-e3f7-4bed-9f7e-913f851367d8","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:26:03.750305Z","iopub.status.busy":"2023-10-04T15:26:03.749964Z","iopub.status.idle":"2023-10-04T15:26:04.138631Z","shell.execute_reply":"2023-10-04T15:26:04.138055Z","shell.execute_reply.started":"2023-10-04T15:26:03.750282Z"},"language":"python","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"Model: \"sequential\"\n_________________________________________________________________\n Layer (type) Output Shape Param # \n=================================================================\n dense (Dense) (None, 128) 10240 \n \n dense_1 (Dense) (None, 64) 8256 \n \n dense_2 (Dense) (None, 1) 65 \n \n=================================================================\nTotal params: 18561 (72.50 KB)\nTrainable params: 18561 (72.50 KB)\nNon-trainable params: 0 (0.00 Byte)\n_________________________________________________________________\n"}],"source":"with clear_memory():\n model = keras.models.load_model('it_threat_model')\n\nmodel.summary()"},{"cell_type":"code","execution_count":11,"id":"ed66c137-1023-4dce-b9ea-5e742099302e","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:26:10.193366Z","iopub.status.busy":"2023-10-04T15:26:10.193090Z","iopub.status.idle":"2023-10-04T15:26:10.343918Z","shell.execute_reply":"2023-10-04T15:26:10.343428Z","shell.execute_reply.started":"2023-10-04T15:26:10.193347Z"},"language":"python","trusted":true},"outputs":[],"source":"with clear_memory():\n # Select the first layer\n layer_name = 'dense'\n intermediate_layer_model = Model(\n inputs = model.input,\n outputs = model.get_layer(layer_name).output\n )"},{"cell_type":"markdown","id":"f3756497-a5a8-453a-9257-13ac0122a6ff","metadata":{"language":"python"},"source":"## Data Preparation\n\nWe'll use the second file we downloaded earlier for testing purposes.\n\n### Review Data"},{"cell_type":"code","execution_count":12,"id":"bc2325d6-a298-4916-bf33-7416b3b4ab25","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:26:15.812577Z","iopub.status.busy":"2023-10-04T15:26:15.812299Z","iopub.status.idle":"2023-10-04T15:26:24.090195Z","shell.execute_reply":"2023-10-04T15:26:24.089485Z","shell.execute_reply.started":"2023-10-04T15:26:15.812559Z"},"language":"python","trusted":true},"outputs":[{"data":{"text/plain":"Label\nBenign 1048213\nBrute Force -Web 249\nBrute Force -XSS 79\nSQL Injection 34\nName: count, dtype: int64"},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":"with clear_memory():\n data = pd.read_csv('Thursday-22-02-2018_TrafficForML_CICFlowMeter.csv')\n\ndata.Label.value_counts()"},{"cell_type":"markdown","id":"3c515eb7-1e06-4be3-993b-cc4483cb7bf6","metadata":{"language":"python"},"source":"### Clean Data\n\nWe'll run a cleanup script from the previously downloaded GitHub repo."},{"cell_type":"code","execution_count":13,"id":"73e53251-5fd9-4fbd-856e-2bbc560a2924","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:26:33.808949Z","iopub.status.busy":"2023-10-04T15:26:33.808685Z","iopub.status.idle":"2023-10-04T15:27:21.029619Z","shell.execute_reply":"2023-10-04T15:27:21.029028Z","shell.execute_reply.started":"2023-10-04T15:26:33.808932Z"},"language":"python","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"cleaning Thursday-22-02-2018_TrafficForML_CICFlowMeter.csv\ntotal rows read = 1048576\nall done writing 1042966 rows; dropped 5610 rows\n"}],"source":"!python DeepLearning-IDS/data_cleanup.py \"Thursday-22-02-2018_TrafficForML_CICFlowMeter.csv\" \"result22022018\""},{"cell_type":"markdown","id":"67c1125c-bb62-40b8-b885-d5d9187b5f81","metadata":{"language":"python"},"source":"We'll now review the cleaned data from the previous step."},{"cell_type":"code","execution_count":16,"id":"326a320a-9388-4108-a0f0-10520d25c2a4","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:27:26.141735Z","iopub.status.busy":"2023-10-04T15:27:26.141481Z","iopub.status.idle":"2023-10-04T15:27:30.942932Z","shell.execute_reply":"2023-10-04T15:27:30.942374Z","shell.execute_reply.started":"2023-10-04T15:27:26.141718Z"},"language":"python","trusted":true},"outputs":[{"data":{"text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
Dst PortProtocolTimestampFlow DurationTot Fwd PktsTot Bwd PktsTotLen Fwd PktsTotLen Bwd PktsFwd Pkt Len MaxFwd Pkt Len Min...Fwd Seg Size MinActive MeanActive StdActive MaxActive MinIdle MeanIdle StdIdle MaxIdle MinLabel
02261.519288e+0920553406107106312977440...201027304.00.0102730410273041.952608e+070.000000e+001952608019526080Benign
13498961.519288e+097902084808480...200.00.0000.000000e+000.000000e+0000Benign
2500171.519288e+09997459135025000500500...84000203.00.0400020340002033.191524e+073.792787e+07755841157200679Benign
3500171.519288e+09997459135025000500500...84000189.00.0400018940001893.191524e+073.792788e+07755841307200693Benign
4500171.519288e+09894813616030000500500...84000554.00.0400055440005542.137020e+071.528109e+07419907417200848Benign
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5 rows × 80 columns

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","text/plain":" Dst Port Protocol Timestamp Flow Duration Tot Fwd Pkts \\\n0 22 6 1.519288e+09 20553406 10 \n1 34989 6 1.519288e+09 790 2 \n2 500 17 1.519288e+09 99745913 5 \n3 500 17 1.519288e+09 99745913 5 \n4 500 17 1.519288e+09 89481361 6 \n\n Tot Bwd Pkts TotLen Fwd Pkts TotLen Bwd Pkts Fwd Pkt Len Max \\\n0 7 1063 1297 744 \n1 0 848 0 848 \n2 0 2500 0 500 \n3 0 2500 0 500 \n4 0 3000 0 500 \n\n Fwd Pkt Len Min ... Fwd Seg Size Min Active Mean Active Std \\\n0 0 ... 20 1027304.0 0.0 \n1 0 ... 20 0.0 0.0 \n2 500 ... 8 4000203.0 0.0 \n3 500 ... 8 4000189.0 0.0 \n4 500 ... 8 4000554.0 0.0 \n\n Active Max Active Min Idle Mean Idle Std Idle Max Idle Min \\\n0 1027304 1027304 1.952608e+07 0.000000e+00 19526080 19526080 \n1 0 0 0.000000e+00 0.000000e+00 0 0 \n2 4000203 4000203 3.191524e+07 3.792787e+07 75584115 7200679 \n3 4000189 4000189 3.191524e+07 3.792788e+07 75584130 7200693 \n4 4000554 4000554 2.137020e+07 1.528109e+07 41990741 7200848 \n\n Label \n0 Benign \n1 Benign \n2 Benign \n3 Benign \n4 Benign \n\n[5 rows x 80 columns]"},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":"with clear_memory():\n data_22_cleaned = pd.read_csv('result22022018.csv')\n\ndata_22_cleaned.head()"},{"cell_type":"code","execution_count":17,"id":"66a13b5c-07b2-413b-9b77-ce490fa8507b","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:27:36.208801Z","iopub.status.busy":"2023-10-04T15:27:36.208532Z","iopub.status.idle":"2023-10-04T15:27:36.251908Z","shell.execute_reply":"2023-10-04T15:27:36.251354Z","shell.execute_reply.started":"2023-10-04T15:27:36.208784Z"},"language":"python","trusted":true},"outputs":[{"data":{"text/plain":"Label\nBenign 1042603\nBrute Force -Web 249\nBrute Force -XSS 79\nSQL Injection 34\nName: count, dtype: int64"},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":"data_22_cleaned.Label.value_counts()"},{"cell_type":"markdown","id":"df41d065-924e-4de5-834c-967846688e13","metadata":{"language":"python"},"source":"We'll create a sample that encompasses all the distinct types of web attacks observed on this particular date."},{"cell_type":"code","execution_count":18,"id":"9f669747-2c58-4113-a099-070c5a08a492","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:28:01.776887Z","iopub.status.busy":"2023-10-04T15:28:01.776616Z","iopub.status.idle":"2023-10-04T15:28:01.920002Z","shell.execute_reply":"2023-10-04T15:28:01.919505Z","shell.execute_reply.started":"2023-10-04T15:28:01.776870Z"},"language":"python","trusted":true},"outputs":[{"data":{"text/plain":"Label\nBenign 1638\nBrute Force -Web 249\nBrute Force -XSS 79\nSQL Injection 34\nName: count, dtype: int64"},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":"with clear_memory():\n data_sample = data_22_cleaned[-2000:]\n\ndata_sample.Label.value_counts()"},{"cell_type":"markdown","id":"722010dd-2a2e-41a8-848f-bad78d0fa79f","metadata":{"language":"python"},"source":"## Get Connection Details\n\n
\n \n
\n

Action Required

\n

Select the database from the drop-down menu at the top of this notebook. It updates the connection_url which is used by SQLAlchemy to make connections to the selected database.

\n
\n
"},{"cell_type":"code","execution_count":19,"id":"806149fa-bba9-42fd-b804-3b5964bceca5","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:28:15.383580Z","iopub.status.busy":"2023-10-04T15:28:15.383328Z","iopub.status.idle":"2023-10-04T15:28:15.387539Z","shell.execute_reply":"2023-10-04T15:28:15.386869Z","shell.execute_reply.started":"2023-10-04T15:28:15.383564Z"},"language":"python","trusted":true},"outputs":[],"source":"from sqlalchemy import *\n\ndb_connection = create_engine(connection_url)"},{"cell_type":"markdown","id":"0f5e79af-3991-45e1-845e-a24390437d56","metadata":{"language":"python"},"source":"## Queries\n\nNext, we'll perform queries on the test dataset and store the predicted and expected results, enabling us to construct a confusion matrix."},{"cell_type":"code","execution_count":20,"id":"ddcd73cd-0d87-4aaf-82be-5d7bd0e73566","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:28:28.581591Z","iopub.status.busy":"2023-10-04T15:28:28.581340Z","iopub.status.idle":"2023-10-04T15:43:39.914364Z","shell.execute_reply":"2023-10-04T15:43:39.913753Z","shell.execute_reply.started":"2023-10-04T15:28:28.581575Z"},"language":"python","trusted":true},"outputs":[{"name":"stderr","output_type":"stream","text":" 0%| | 0/20 [00:00\n window.PlotlyConfig = {MathJaxConfig: 'local'};\n if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n if (typeof require !== 'undefined') {\n require.undef(\"plotly\");\n define('plotly', function(require, exports, module) {\n /**\n* plotly.js v2.25.2\n* Copyright 2012-2023, Plotly, Inc.\n* All rights reserved.\n* Licensed under the MIT license\n*/\n/*! 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x=g[0];i(x.x0)&&i(x.y0)&&(h=dt(x),(!at.hLinePoint||at.hLinePoint.spikeDistance>h.spikeDistance)&&(at.hLinePoint=h))}}}}}function pt(t,e,r){for(var n,i=null,a=1/0,o=0;o0&&Math.abs(t.distance)At-1;Mt--)Ct(nt[Mt]);nt=St,mt()}var Pt=t._hoverdata,Ot=[],It=U(t),Dt=V(t);for(Z=0;Z1||nt.length>1)||\"closest\"===I&&ot&&nt.length>1,Yt=p.combine(c.plot_bgcolor||p.background,c.paper_bgcolor),Wt=O(nt,{gd:t,hovermode:I,rotateLabels:Zt,bgColor:Yt,container:c._hoverlayer,outerContainer:c._paper.node(),commonLabelOpts:c.hoverlabel,hoverdistance:c.hoverdistance}),Xt=Wt.hoverLabels;if(y.isUnifiedHover(I)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},k=function(t){return t*r._invScaleY};function A(t){var 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_,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",g=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",g=E._offset),y=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+m.height/2)+\"h\"+P+(2*S+m.width)+\"V-\"+(S+m.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\"),Y.minY=y-(S+m.height/2),Y.maxY=y+(S+m.height/2),\"right\"===L.side?(Y.minX=g+M,Y.maxX=g+M+(2*S+m.width)):(Y.minX=g-M-(2*S+m.width),Y.maxX=g-M);var O,I=m.height/2,z=F-m.top-I,R=\"clip\"+i._uid+\"commonlabel\"+L._id;if(g=0?lt:ut+ht=0?ut:bt+ht=0?ot:st+pt=0?st:_t+pt=0,\"top\"!==t.idealAlign&&G||!Z?G?(O+=R/2,t.anchor=\"start\"):t.anchor=\"middle\":(O-=R/2,t.anchor=\"end\"),t.crossPos=O;else{if(t.pos=O,G=P+z/2+Y<=B,Z=P-z/2-Y>=0,\"left\"!==t.idealAlign&&G||!Z)if(G)P+=z/2,t.anchor=\"start\";else{t.anchor=\"middle\";var W=Y/2,X=P+W-B,J=P-W;X>0&&(P-=X),J<0&&(P+=-J)}else 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b=y+v.textShiftX,_=m+t.ty0-t.by/2+S,w=t.textAlign||\"auto\";\"auto\"!==w&&(\"left\"===w&&\"start\"!==p?(f.attr(\"text-anchor\",\"start\"),b=x?-t.bx/2-t.tx2width/2+S:-t.bx-S):\"right\"===w&&\"end\"!==p&&(f.attr(\"text-anchor\",\"end\"),b=x?t.bx/2-t.tx2width/2-S:t.bx+S)),f.call(c.positionText,a(b),o(_)),t.tx2width&&(r.select(\"text.name\").call(c.positionText,a(v.text2ShiftX+v.alignShift*S+y),o(m+t.ty0-t.by/2+S)),r.select(\"rect\").call(h.setRect,a(v.text2ShiftX+(v.alignShift-1)*t.tx2width/2+y),o(m-t.by/2-1),a(t.tx2width),o(t.by+2)))}))}function R(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 u=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 c(e,r,n){var 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0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||\"log\"===t.xa.type&&t.xerr<=0)){var f=v.tickText(t.xa,t.xa.c2l(t.xerr),\"hover\").text;void 0!==t.xerrneg?t.xLabel+=\" +\"+f+\" / -\"+v.tickText(t.xa,t.xa.c2l(t.xerrneg),\"hover\").text:t.xLabel+=\" ± \"+f,\"x\"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||\"log\"===t.ya.type&&t.yerr<=0)){var h=v.tickText(t.ya,t.ya.c2l(t.yerr),\"hover\").text;void 0!==t.yerrneg?t.yLabel+=\" +\"+h+\" / -\"+v.tickText(t.ya,t.ya.c2l(t.yerrneg),\"hover\").text:t.yLabel+=\" ± \"+h,\"y\"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&\"all\"!==p&&(-1===(p=Array.isArray(p)?p:p.split(\"+\")).indexOf(\"x\")&&(t.xLabel=void 0),-1===p.indexOf(\"y\")&&(t.yLabel=void 0),-1===p.indexOf(\"z\")&&(t.zLabel=void 0),-1===p.indexOf(\"text\")&&(t.text=void 0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function F(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var g,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(g=u.pointerX,y=u.pointerY):(g=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,d)<1.5?p.contrast(d):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=v.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=g),-1!==w.indexOf(\"across\")){var 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c=s.simpleMap(t.range,t.r2l);if(t._isMinor&&(e*=1.5),e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var f=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/f,n=a(10),t.dtick=\"L\"+dt(e,n,st)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):Dt(t)?(t.tick0=0,n=1,t.dtick=dt(e,n,pt)):(t.tick0=0,n=a(10),t.dtick=dt(e,n,st));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var h=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(h)}},q.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),u=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,u,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+u)/Math.LN10;if(\"D\"===l){var c=\"D2\"===e?ht:ft,f=t+.01*o,h=s.roundUp(s.mod(f,1),c,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},v.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,\"projection.scale\":n.scale},e=t._isScoped?{\"center.lon\":r.lon,\"center.lat\":r.lat}:t._isClipped?{\"projection.rotation.lon\":i.lon,\"projection.rotation.lat\":i.lat}:{\"center.lon\":r.lon,\"center.lat\":r.lat,\"projection.rotation.lon\":i.lon},u.extendFlat(this.viewInitial,e)},S.render=function(t){this._hasMarkerAngles&&t?this.plot(this._geoCalcData,this._fullLayout,[],!0):this._render()},S._render=function(){var t,e=this.projection,r=e.getPath();function n(t){var r=e(t.lonlat);return r?c(r[0],r[1]):null}function i(t){return e.isLonLatOverEdges(t.lonlat)?\"none\":null}for(t in this.basePaths)this.basePaths[t].attr(\"d\",r);for(t in this.dataPaths)this.dataPaths[t].attr(\"d\",(function(t){return r(t.geojson)}));for(t in this.dataPoints)this.dataPoints[t].attr(\"display\",i).attr(\"transform\",n)}},44622:function(t,e,r){\"use strict\";var n=r(27659).AU,i=r(71828).counterRegex,a=r(69082),o=\"geo\",s=i(o),l={};l[o]={valType:\"subplotid\",dflt:o,editType:\"calc\"},t.exports={attr:o,name:o,idRoot:o,idRegex:s,attrRegex:s,attributes:l,layoutAttributes:r(77519),supplyLayoutDefaults:r(82161),plot:function(t){for(var e=t._fullLayout,r=t.calcdata,i=e._subplots[o],s=0;s0&&P<0&&(P+=360);var O,I,D,z=(C+P)/2;if(!p){var R=d?f.projRotate:[z,0,0];O=r(\"projection.rotation.lon\",R[0]),r(\"projection.rotation.lat\",R[1]),r(\"projection.rotation.roll\",R[2]),r(\"showcoastlines\",!d&&x)&&(r(\"coastlinecolor\"),r(\"coastlinewidth\")),r(\"showocean\",!!x&&void 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e.projection.rotation.lon))}t.exports=function(t,e,r){i(t,e,r,{type:\"geo\",attributes:s,handleDefaults:u,fullData:r,partition:\"y\"})}},74455:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(73972),o=Math.PI/180,s=180/Math.PI,l={cursor:\"pointer\"},u={cursor:\"auto\"};function c(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],u=o._fullLayout,c=u[n],f={},h={};function p(t,e){f[n+\".\"+t]=i.nestedProperty(l,t).get(),a.call(\"_storeDirectGUIEdit\",s,u._preGUI,f);var r=i.nestedProperty(c,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+\".\"+t]=e)}r(p),p(\"projection.scale\",e.scale()/t.fitScale),p(\"fitbounds\",!1),o.emit(\"plotly_relayout\",h)}function h(t,e){var r=c(0,e);function i(r){var n=e.invert(t.midPt);r(\"center.lon\",n[0]),r(\"center.lat\",n[1])}return 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r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;nMath.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n).999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).counterRegex;function 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r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},96085:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d/g,\" 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a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"
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Context lost.\")};requestAnimationFrame(e)};var A=[\"xaxis\",\"yaxis\",\"zaxis\"];function M(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=A[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;dy[1][o])y[0][o]=-1,y[1][o]=1;else{var C=y[1][o]-y[0][o];y[0][o]-=C/32,y[1][o]+=C/32}if(\"reversed\"===l.autorange){var P=y[0][o];y[0][o]=y[1][o],y[1][o]=P}}else{var O=l.range;y[0][o]=l.r2l(O[0]),y[1][o]=l.r2l(O[1])}y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),m[o]=y[1][o]-y[0][o],n.glplot.setBounds(o,{min:y[0][o]*p[o],max:y[1][o]*p[o]})}var I=c.aspectmode;if(\"cube\"===I)g=[1,1,1];else if(\"manual\"===I){var D=c.aspectratio;g=[D.x,D.y,D.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(o=0;o<3;++o){var R=x[u=(l=c[A[o]]).type];z[o]=Math.pow(R.acc,1/R.count)/p[o]}g=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=f.aspectratio.x=g[0],c.aspectratio.y=f.aspectratio.y=g[1],c.aspectratio.z=f.aspectratio.z=g[2],n.glplot.setAspectratio(c.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=c.aspectmode);var F=c.domain||null,B=e._size||null;if(F&&B){var N=n.container.style;N.position=\"absolute\",N.left=B.l+F.x[0]*B.w+\"px\",N.top=B.t+(1-F.y[1])*B.h+\"px\",N.width=B.w*(F.x[1]-F.x[0])+\"px\",N.height=B.h*(F.y[1]-F.y[0])+\"px\"}n.glplot.redraw()}},T.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},T.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},T.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},T.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(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]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},T.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},T.saveLayout=function(t){var e,r,n,i,a,o,s=this,l=s.fullLayout,u=s.isCameraChanged(t),h=s.isAspectChanged(t),p=u||h;if(p){var d={};u&&(e=s.getCamera(),n=(r=f.nestedProperty(t,s.id+\".camera\")).get(),d[s.id+\".camera\"]=n),h&&(i=s.glplot.getAspectratio(),o=(a=f.nestedProperty(t,s.id+\".aspectratio\")).get(),d[s.id+\".aspectratio\"]=o),c.call(\"_storeDirectGUIEdit\",t,l._preGUI,d),u&&(r.set(e),f.nestedProperty(l,s.id+\".camera\").set(e)),h&&(a.set(i),f.nestedProperty(l,s.id+\".aspectratio\").set(i),s.glplot.redraw())}return p},T.updateFx=function(t,e){var r=this,n=r.camera;if(n)if(\"orbit\"===t)n.mode=\"orbit\",n.keyBindingMode=\"rotate\";else if(\"turntable\"===t){n.up=[0,0,1],n.mode=\"turntable\",n.keyBindingMode=\"rotate\";var i=r.graphDiv,a=i._fullLayout,o=r.fullSceneLayout.camera,s=o.up.x,l=o.up.y,u=o.up.z;if(u/Math.sqrt(s*s+l*l+u*u)<.999){var h=r.id+\".camera.up\",p={x:0,y:0,z:1},d={};d[h]=p;var v=i.layout;c.call(\"_storeDirectGUIEdit\",v,a._preGUI,d),o.up=p,f.nestedProperty(v,h).set(p)}}else n.keyBindingMode=t;r.fullSceneLayout.hovermode=e},T.toImage=function(t){var e=this;t||(t=\"png\"),e.staticMode&&e.container.appendChild(n),e.glplot.redraw();var r=e.glplot.gl,i=r.drawingBufferWidth,a=r.drawingBufferHeight;r.bindFramebuffer(r.FRAMEBUFFER,null);var o=new Uint8Array(i*a*4);r.readPixels(0,0,i,a,r.RGBA,r.UNSIGNED_BYTE,o),function(t,e,r){for(var n=0,i=r-1;n0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},T.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[A[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},T.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=w},90060:function(t){\"use strict\";t.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;aOpenStreetMap contributors',o=['© Carto',a].join(\" \"),s=['Map tiles by Stamen Design','under CC BY 3.0',\"|\",'Data by OpenStreetMap contributors','under ODbL'].join(\" 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T=m.split(\"|\").join(\"
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E=\"inside\"===v.ticks?-1:1,L=(v.linewidth||1)/2;h.drawTicks(n,v,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*v.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,v,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,v,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,D=E.findEnclosingVertexAngles,z=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,H,q,G,Z,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,v)),o=a-z,l=a+z;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function Q(t,e,r){if(0===t)return s.pathSector(2*z);var n,i,a=K(t,e),o=K(t,r),l=O((a[0]+o[0])/2),u=O((a[1]+o[1])/2);if(l&&u){var c=u/l,f=-1/c,h=I(z,c,l,u);n=I(R,f,h[0][0],h[0][1]),i=I(R,f,h[1][0],h[1][1])}else{var p,d;u?(p=R,d=z):(p=z,d=R),n=[[l-p,u-d],[l+p,u-d]],i=[[l-p,u+d],[l+p,u+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,v),x),tp?(t-1&&1===t&&_(e,c,[s.xaxis],[s.yaxis],s.id,Y),r.indexOf(\"event\")>-1&&m.click(c,e,s.id)}Y.prepFn=function(t,n,a){var l=c._fullLayout.dragmode,f=F.getBoundingClientRect();c._fullLayout._calcInverseTransform(c);var p=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var y=E.findPolygonOffset(v,L[0],L[1],C);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":Y.clickFn=st,u||(Y.moveFn=C?it:rt,Y.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),H=!1;var t=c._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Z=g.makeCorners(h,T,k),w(c)}());break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},y.init(Y)},N.updateRadialDrag=function(t,e,r){var i=this,u=i.gd,c=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,v=i.radialAxis,m=S.radialDragBoxSize,x=m/2;if(v.visible){var b,_,T,M=R(i.radialAxisAngle),E=v._rl,L=E[0],C=E[1],P=E[r],O=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var I,D,z,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h0==(r?z>L:zn?function(t){return t<=0}:function(t){return t>=0};t.c2g=function(r){var n=t.c2l(r)-e;return(s(n)?n:0)+o},t.g2c=function(r){return t.l2c(r+e-o)},t.g2p=function(t){return t*a},t.c2p=function(e){return t.g2p(t.c2g(e))}}}(t,e);break;case\"angularaxis\":!function(t,e){var r=t.type;if(\"linear\"===r){var i=t.d2c,s=t.c2d;t.d2c=function(t,e){return function(t,e){return\"degrees\"===e?a(t):t}(i(t),e)},t.c2d=function(t,e){return s(function(t,e){return\"degrees\"===e?o(t):t}(t,e))}}t.makeCalcdata=function(e,i){var a,o,s=e[i],l=e._length,u=function(r){return t.d2c(r,e.thetaunit)};if(s){if(n.isTypedArray(s)&&\"linear\"===r){if(l===s.length)return s;if(s.subarray)return s.subarray(0,l)}for(a=new Array(l),o=0;o0?1:0}function r(t){var e=t[0],r=t[1];if(!isFinite(e)||!isFinite(r))return[1,0];var n=(e+1)*(e+1)+r*r;return[(e*e+r*r-1)/n,2*r/n]}function n(t,e){var r=e[0],n=e[1];return[r*t.radius+t.cx,-n*t.radius+t.cy]}function i(t,e){return e*t.radius}t.exports={smith:r,reactanceArc:function(t,e,a,o){var s=n(t,r([a,e])),l=s[0],u=s[1],c=n(t,r([o,e])),f=c[0],h=c[1];if(0===e)return[\"M\"+l+\",\"+u,\"L\"+f+\",\"+h].join(\" \");var p=i(t,1/Math.abs(e));return[\"M\"+l+\",\"+u,\"A\"+p+\",\"+p+\" 0 0,\"+(e<0?1:0)+\" \"+f+\",\"+h].join(\" \")},resistanceArc:function(t,a,o,s){var l=i(t,1/(a+1)),u=n(t,r([a,o])),c=u[0],f=u[1],h=n(t,r([a,s])),p=h[0],d=h[1];if(e(o)!==e(s)){var v=n(t,r([a,0]));return[\"M\"+c+\",\"+f,\"A\"+l+\",\"+l+\" 0 0,\"+(00){for(var n=[],i=0;i=c&&(h.min=0,d.min=0,g.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function v(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,v=e._name.charAt(0).toUpperCase(),g=\"Component 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n=r(39898),i=r(84267),a=r(73972),o=r(71828),s=o.strTranslate,l=o._,u=r(7901),c=r(91424),f=r(21994),h=r(1426).extendFlat,p=r(74875),d=r(89298),v=r(28569),g=r(30211),y=r(64505),m=y.freeMode,x=y.rectMode,b=r(92998),_=r(47322).prepSelect,w=r(47322).selectOnClick,T=r(47322).clearOutline,k=r(47322).clearSelectionsCache,A=r(85555);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;aE*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var O=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",O),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",I),p.layers.bgrid.attr(\"transform\",I);var D=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",D),p.layers.agrid.attr(\"transform\",D);var z=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",z),p.layers.cgrid.attr(\"transform\",z),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(u.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(u.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(u.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),c.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var u=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),c=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=b.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-u,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=b.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-c,y:e.y0+e.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=b.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+c,y:e.y0+e.h+.83*s.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],u=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[u]!==c&&(l.selectAll(\".\"+s+\"tick\").remove(),r[u]=c),t.setScale();var f=d.calcTicks(t),h=d.clipEnds(t,f),p=d.makeTransTickFn(t),v=d.getTickSigns(t)[2],g=o.deg2rad(30),y=v*(t.linewidth||1)/2,m=v*t.ticklen,x=r.w,b=r.h,_=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*m+\",\"+Math.cos(g)*m:\"M\"+y+\",0l\"+Math.cos(g)*m+\",\"+-Math.sin(g)*m,w={a:\"M0,0l\"+b+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+b,c:\"M0,0l-\"+b+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?h:f,layer:l,path:_,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:h,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:f,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",O=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",I=!0;function D(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,y,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,z=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var 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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).fF,o=r(54532),s=r(9012),l=r(1426).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(9330).gl_mesh3d,i=r(9330).delaunay_triangulate,a=r(9330).alpha_shape,o=r(9330).convex_hull,s=r(81697).parseColorScale,l=r(78614),u=r(21081).extractOpts,c=r(90060);function f(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var h=f.prototype;function p(t){for(var e=[],r=t.length,n=0;n=e-.5)return!1;return!0}h.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return Array.isArray(r)&&void 0!==r[e]?t.textLabel=r[e]:r&&(t.textLabel=r),!0}},h.update=function(t){var e=this.scene,r=e.fullSceneLayout;this.data=t;var 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w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return t.svgD})),w.empty()||x.sort(v),x.exit().remove(),x.on(\"mouseover\",g).on(\"mouseout\",y).on(\"click\",b),m.append(\"g\").attr(\"class\",\"dimensions\");var A=h.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var 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Array(t),r=0;rf&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=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,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in 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A, mat4 B, mat4 C, mat4 D) {\\n float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n return (\\n fOutside(p[0], lo[0], hi[0]) ||\\n fOutside(p[1], lo[1], hi[1]) ||\\n fOutside(p[2], lo[2], hi[2]) ||\\n fOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n return (\\n vOutside(p[0], lo[0], hi[0]) ||\\n vOutside(p[1], lo[1], hi[1]) ||\\n vOutside(p[2], lo[2], hi[2]) ||\\n vOutside(p[3], lo[3], hi[3])\\n );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n return mOutside(A, loA, hiA) ||\\n mOutside(B, loB, hiB) ||\\n mOutside(C, loC, hiC) ||\\n mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n mat4 pnts[4];\\n pnts[0] = A;\\n pnts[1] = B;\\n pnts[2] = C;\\n pnts[3] = D;\\n\\n for(int i = 0; i < 4; ++i) {\\n for(int j = 0; j < 4; ++j) {\\n for(int k = 0; k < 4; ++k) {\\n if(0 == iMod(\\n int(255.0 * texture2D(maskTexture,\\n vec2(\\n (float(i * 2 + j / 2) + 0.5) / 8.0,\\n (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n ))[3]\\n ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n 2\\n )) return true;\\n }\\n }\\n }\\n return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n float x = 0.5 * sign(v) + 0.5;\\n float y = axisY(x, A, B, C, D);\\n float z = 1.0 - abs(v);\\n\\n z += isContext ? 0.0 : 2.0 * float(\\n outsideBoundingBox(A, B, C, D) ||\\n outsideRasterMask(A, B, C, D)\\n );\\n\\n return vec4(\\n 2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n z,\\n 1.0\\n );\\n}\\n\\nvoid main() {\\n mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n float v = colors[3];\\n\\n gl_Position = position(isContext, v, A, B, C, D);\\n\\n fragColor =\\n isContext ? vec4(contextColor) :\\n isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),l=1e-6,u=new Uint8Array(4),c=new Uint8Array(4),f={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function p(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:u})}(t),r.drawCompleted=!0),function s(l){var 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J=Y.selectAll(\".\"+m.cn.axisExtentBottom).data(v,d);J.enter().append(\"g\").classed(m.cn.axisExtentBottom,!0),J.attr(\"transform\",(function(t){return u(0,t.model.height+m.axisExtentOffset)}));var K=J.selectAll(\".\"+m.cn.axisExtentBottomText).data(v,d);K.enter().append(\"text\").classed(m.cn.axisExtentBottomText,!0).attr(\"dy\",\"0.75em\").call(P),K.text((function(t){return z(t,!1)})).each((function(t){f.font(n.select(this),t.model.rangeFont)})),x.ensureAxisBrush(H,A,t)}},21341:function(t,e,r){\"use strict\";var n=r(17171),i=r(79749),a=r(1602).isVisible,o={};function s(t,e,r){var n=e.indexOf(r),i=t.indexOf(n);return-1===i&&(i+=e.length),i}(t.exports=function(t,e){var r=t._fullLayout;if(i(t,[],o)){var l={},u={},c={},f={},h=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=f[r]=n._fullInput.index;l[r]=t.data[i].dimensions,u[r]=t.data[i].dimensions.slice()})),n(t,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{filterChanged:function(e,n,i){var a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},34e3:function(t,e,r){\"use strict\";var n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).fF,l=r(5386).si,u=r(1426).extendFlat,c=r(79952).u,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",Array.isArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},22209:function(t,e,r){\"use strict\";var n=r(91424),i=r(7901);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},53581:function(t,e,r){\"use strict\";var n=r(71828);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;ie&&e>n||r=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;er&&(r=t.pull[e]);return r}function I(t,e){for(var r=[],n=0;n1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;ei.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}z(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:D(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var 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}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,l,u,c,f,h,p,d;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function y(t,e){return e.pxmid[1]-t.pxmid[1]}function m(t,r){r||(r={});var i,u,c,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,v=n?t.yLabelMax:t.yLabelMin,y=t.cyFinal+o(t.px0[1],t.px1[1]),m=p-d;if(m*l>0&&(t.labelExtraY=m),Array.isArray(e.pull))for(u=0;u=(g.castOption(e.pull,c.pts)||0)||((t.pxmid[1]-c.pxmid[1])*l>0?(m=c.cyFinal+o(c.px0[1],c.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=m):(v+t.labelExtraY-y)*l>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(h=c.cxFinal+a(c.px0[0],c.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?v:y,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),c=t[1-n][r],f=c.concat(u),p=[],h=0;hMath.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:z,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},68357:function(t,e,r){\"use strict\";var n=r(39898),i=r(63463),a=r(72597).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},63463:function(t,e,r){\"use strict\";var n=r(7901),i=r(53581).castOption,a=r(22209);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},10959:function(t,e,r){\"use strict\";var n=r(82196);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},42743:function(t,e,r){\"use strict\";var n=r(9330).gl_pointcloud2d,i=r(78614),a=r(71739).findExtremes,o=r(34603);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,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;ld[2]&&(d[2]=o),sd[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var v=i(t.marker.color),g=i(t.marker.border.color),y=t.opacity*t.marker.opacity;v[3]*=y,this.pointcloudOptions.color=v;var m=t.marker.blend;null===m&&(m=u.length<100||c.length<100),this.pointcloudOptions.blend=m,g[3]*=y,this.pointcloudOptions.borderColor=g;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,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},33876:function(t,e,r){\"use strict\";var n=r(71828),i=r(10959);t.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof 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0},75536:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(27659).a0,a=r(60436),o=r(528),s=r(6964),l=r(28569),u=r(47322).prepSelect,c=r(71828),f=r(73972),h=\"sankey\";function p(t,e){var r=t._fullData[e],n=t._fullLayout,i=n.dragmode,a=\"pan\"===n.dragmode?\"move\":\"crosshair\",o=r._bgRect;if(o&&\"pan\"!==i&&\"zoom\"!==i){s(o,a);var h={_id:\"x\",c2p:c.identity,_offset:r._sankey.translateX,_length:r._sankey.width},p={_id:\"y\",c2p:c.identity,_offset:r._sankey.translateY,_length:r._sankey.height},d={gd:t,element:o.node(),plotinfo:{id:e,xaxis:h,yaxis:p,fillRangeItems:c.noop},subplot:e,xaxes:[h],yaxes:[p],doneFnCompleted:function(r){var n,i=t._fullData[e],a=i.node.groups.slice(),o=[];function s(t){for(var e=i._sankey.graph.nodes,r=0;rm&&(m=a.source[e]),a.target[e]>m&&(m=a.target[e]);var x,b=m+1;t.node._count=b;var _=t.node.groups,w={};for(e=0;e<_.length;e++){var T=_[e];for(x=0;x0&&s(E,b)&&s(L,b)&&(!w.hasOwnProperty(E)||!w.hasOwnProperty(L)||w[E]!==w[L])){w.hasOwnProperty(L)&&(L=w[L]),w.hasOwnProperty(E)&&(E=w[E]),L=+L,h[E=+E]=h[L]=!0;var C=\"\";a.label&&a.label[e]&&(C=a.label[e]);var P=null;C&&p.hasOwnProperty(C)&&(P=p[C]),u.push({pointNumber:e,label:C,color:c?a.color[e]:a.color,customdata:f?a.customdata[e]:a.customdata,concentrationscale:P,source:E,target:L,value:+S}),M.source.push(E),M.target.push(L)}}var O=b+_.length,I=o(r.color),D=o(r.customdata),z=[];for(e=0;eb-1,childrenNodes:[],pointNumber:e,label:R,color:I?r.color[e]:r.color,customdata:D?r.customdata[e]:r.customdata})}var F=!1;return function(t,e,r){for(var a=i.init2dArray(t,0),o=0;o1}))}(O,M.source,M.target)&&(F=!0),{circular:F,links:u,nodes:z,groups:_,groupLookup:w}}(e);return a({circular:r.circular,_nodes:r.nodes,_links:r.links,_groups:r.groups,_groupLookup:r.groupLookup})}},85247:function(t){\"use strict\";t.exports={nodeTextOffsetHorizontal:4,nodeTextOffsetVertical:3,nodePadAcross:10,sankeyIterations:50,forceIterations:5,forceTicksPerFrame:10,duration:500,ease:\"linear\",cn:{sankey:\"sankey\",sankeyLinks:\"sankey-links\",sankeyLink:\"sankey-link\",sankeyNodeSet:\"sankey-node-set\",sankeyNode:\"sankey-node\",nodeRect:\"node-rect\",nodeLabel:\"node-label\"}}},26857:function(t,e,r){\"use strict\";var n=r(71828),i=r(39953),a=r(7901),o=r(84267),s=r(27670).c,l=r(38048),u=r(44467),c=r(85501);function f(t,e){function r(r,a){return n.coerce(t,e,i.link.colorscales,r,a)}r(\"label\"),r(\"cmin\"),r(\"cmax\"),r(\"colorscale\")}t.exports=function(t,e,r,h){function p(r,a){return n.coerce(t,e,i,r,a)}var d=n.extendDeep(h.hoverlabel,t.hoverlabel),v=t.node,g=u.newContainer(e,\"node\");function y(t,e){return n.coerce(v,g,i.node,t,e)}y(\"label\"),y(\"groups\"),y(\"x\"),y(\"y\"),y(\"pad\"),y(\"thickness\"),y(\"line.color\"),y(\"line.width\"),y(\"hoverinfo\",t.hoverinfo),l(v,g,y,d),y(\"hovertemplate\");var m=h.colorway;y(\"color\",g.label.map((function(t,e){return a.addOpacity(function(t){return m[t%m.length]}(e),.8)}))),y(\"customdata\");var x=t.link||{},b=u.newContainer(e,\"link\");function _(t,e){return n.coerce(x,b,i.link,t,e)}_(\"label\"),_(\"arrowlen\"),_(\"source\"),_(\"target\"),_(\"value\"),_(\"line.color\"),_(\"line.width\"),_(\"hoverinfo\",t.hoverinfo),l(x,b,_,d),_(\"hovertemplate\");var w,T=o(h.paper_bgcolor).getLuminance()<.333?\"rgba(255, 255, 255, 0.6)\":\"rgba(0, 0, 0, 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v(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function g(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+u.sankeyLink).filter(v(e)).call(x.bind(0,e,r,!1))}function m(t,e,r){e&&r&&h(r,e).selectAll(\".\"+u.sankeyLink).filter(v(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+u.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),r&&h(e,t).selectAll(\".\"+u.sankeyNode).filter(g(t)).call(y)}function b(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),i&&h(e,t).selectAll(\".\"+u.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(u.sankeyNode).filter(g(t)).call(m)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}t.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,v=0;v\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.nodes).forEach((function(t){var 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R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-f.c2p([x,a]),u=o.y-h.c2p([n,r]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+u*u)-c,1-3/c)}),t),!1!==t.index){var b=o[t.index],_=b.lonlat,w=[i.modHalf(_[0],360)+m,_[1]],T=f.c2p(w),k=h.c2p(w),A=b.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[c.subplot]={_subplot:p};var S=c._module.formatLabels(b,c,M);return 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s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s=0;r--){var i=e[r];n.removeLayer(c.layerIds[i])}t||n.removeSource(c.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(c.layerIds[i]),t||n.removeSource(c.sourceIds[i])}}(t)}function h(t){l?function(t){t||c.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n=0;r--){var n=e[r];t.removeLayer(this.layerIds[n]),t.removeSource(this.sourceIds[n])}},t.exports=function(t,e){var r,n,a,l=e[0].trace,u=l.cluster&&l.cluster.enabled,c=!0!==l.visible,f=new s(t,l.uid,u,c),h=i(t.gd,e),p=f.below=t.belowLookup[\"trace-\"+l.uid];if(u)for(f.addSource(\"circle\",h.circle,l.cluster),r=0;r\")}}t.exports={hoverPoints:function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index)return o;var 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r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var v=d.concat(p(r).map((function(){return u((d[0]||[\"\"]).length)}))),g=e.domain,y=Math.floor(t._fullLayout._size.w*(g.x[1]-g.x[0])),m=Math.floor(t._fullLayout._size.h*(g.y[1]-g.y[0])),x=e.header.values.length?v[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,m-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=v.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*y}));var 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f,h,p=c?\"\":T(t.calcdata.cells.prefix,e,r)||\"\",d=c?\"\":T(t.calcdata.cells.suffix,e,r)||\"\",v=c?null:T(t.calcdata.cells.format,e,r)||null,g=p+(v?a(v)(t.value):t.value)+d;if(t.wrappingNeeded=!t.wrapped&&!l&&!c&&(f=w(g)),t.cellHeightMayIncrease=s||c||t.mayHaveMarkup||(void 0===f?w(g):f),t.needsConvertToTspans=t.mayHaveMarkup||t.wrappingNeeded||t.latex,t.wrappingNeeded){var y=(\" \"===n.wrapSplitCharacter?g.replace(/i&&n.push(a),i+=l}return n}(i,l,s);1===u.length&&(u[0]===i.length-1?u.unshift(u[0]-1):u.push(u[0]+1)),u[0]%2&&u.reverse(),e.each((function(t,e){t.page=u[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=z(t.rowBlocks,t.page)-t.scrollY;return c(0,e)})),t&&(C(t,r,e,u,n.prevPages,n,0),C(t,r,e,u,n.prevPages,n,1),x(r,t))}}function L(t,e,r,a){return function(o){var s=o.calcdata?o.calcdata:o,l=e.filter((function(t){return s.key===t.key})),u=r||s.scrollbarState.dragMultiplier,c=s.scrollY;s.scrollY=void 0===a?s.scrollY+u*i.event.dy:a;var 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bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var 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wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(z,rt)|0,i=(i=i+Math.imul(z,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(z,at)|0,i=(i=i+Math.imul(z,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(z,lt)|0,i=(i=i+Math.imul(z,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(z,ft)|0,i=(i=i+Math.imul(z,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var Dt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(Dt>>>26)|0,Dt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=Dt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o>>=1)i++;return 1<>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o>=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>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n=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>>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=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<o)for(this.length-=o,u=0;u=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<=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<=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>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var u=0;u=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<>>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:it.length)return 1;if(this.length=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){ni&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return 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numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(t=r.nmd(t),this)},2692:function(t){\"use strict\";t.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e>>1;if(!(c<=0)){var f,h=i.mallocDouble(2*c*s),p=i.mallocInt32(s);if((s=l(t,c,h,p))>0){if(1===c&&n)a.init(s),f=a.sweepComplete(c,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*c*u),v=i.mallocInt32(u);(u=l(e,c,d,v))>0&&(a.init(s+u),f=1===c?a.sweepBipartite(c,r,0,s,h,p,0,u,d,v):o(c,r,n,s,h,p,u,d,v),i.free(d),i.free(v))}i.free(h),i.free(p)}return f}}}function c(t,e){n.push([t,e])}},7333:function(t,e){\"use strict\";function r(t){return t?function(t,e,r,n,i,a,o,s,l,u,c){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,u,c){for(var f=2*t,h=n,p=f*n;hu-l?n?function(t,e,r,n,i,a,o,s,l,u,c){for(var f=2*t,h=n,p=f*n;h0;){var D=(O-=1)*b,z=w[D],R=w[D+1],F=w[D+2],B=w[D+3],N=w[D+4],j=w[D+5],U=O*_,V=T[U],H=T[U+1],q=1&j,G=!!(16&j),Z=c,Y=S,W=L,X=C;if(q&&(Z=L,Y=C,W=c,X=S),!(2&j&&R>=(F=g(t,z,R,F,Z,Y,H))||4&j&&(R=y(t,z,R,F,Z,Y,V))>=F)){var J=F-R,K=N-B;if(G){if(t*J*(J+K)=p0)&&!(p1>=hi)\"),v=c(\"lo===p0\"),g=c(\"lo>>1,h=2*t,p=f,d=s[h*f+e];u=x?(p=m,d=x):y>=_?(p=g,d=y):(p=b,d=_):x>=_?(p=m,d=x):_>=y?(p=g,d=y):(p=b,d=_);for(var w=h*(c-1),T=h*p,k=0;kr&&i[f+e]>u;--c,f-=o){for(var h=f,p=f+o,d=0;dh;++h,l+=s)if(i[l+f]===o)if(c===h)c+=1,u+=s;else{for(var p=0;s>p;++p){var d=i[l+p];i[l+p]=i[u],i[u++]=d}var v=a[h];a[h]=a[c],a[c++]=v}return c},\"loh;++h,l+=s)if(i[l+f]p;++p){var d=i[l+p];i[l+p]=i[u],i[u++]=d}var v=a[h];a[h]=a[c],a[c++]=v}return c},\"lo<=p0\":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,u=l,c=r,f=t+e,h=r;n>h;++h,l+=s)if(i[l+f]<=o)if(c===h)c+=1,u+=s;else{for(var p=0;s>p;++p){var d=i[l+p];i[l+p]=i[u],i[u++]=d}var v=a[h];a[h]=a[c],a[c++]=v}return c},\"hi<=p0\":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,u=l,c=r,f=t+e,h=r;n>h;++h,l+=s)if(i[l+f]<=o)if(c===h)c+=1,u+=s;else{for(var p=0;s>p;++p){var d=i[l+p];i[l+p]=i[u],i[u++]=d}var v=a[h];a[h]=a[c],a[c++]=v}return c},\"lop;++p,l+=s){var d=i[l+f],v=i[l+h];if(dg;++g){var y=i[l+g];i[l+g]=i[u],i[u++]=y}var m=a[p];a[p]=a[c],a[c++]=m}}return c},\"lo<=p0&&p0<=hi\":function(t,e,r,n,i,a,o){for(var s=2*t,l=s*r,u=l,c=r,f=e,h=t+e,p=r;n>p;++p,l+=s){var d=i[l+f],v=i[l+h];if(d<=o&&o<=v)if(c===p)c+=1,u+=s;else{for(var g=0;s>g;++g){var y=i[l+g];i[l+g]=i[u],i[u++]=y}var m=a[p];a[p]=a[c],a[c++]=m}}return c},\"!(lo>=p0)&&!(p1>=hi)\":function(t,e,r,n,i,a,o,s){for(var l=2*t,u=l*r,c=u,f=r,h=e,p=t+e,d=r;n>d;++d,u+=l){var v=i[u+h],g=i[u+p];if(!(v>=o||s>=g))if(f===d)f+=1,c+=l;else{for(var y=0;l>y;++y){var m=i[u+y];i[u+y]=i[c],i[c++]=m}var x=a[d];a[d]=a[f],a[f++]=x}}return f}}},309:function(t){\"use strict\";t.exports=function(t,n){n<=4*e?r(0,n-1,t):u(0,n-1,t)};var e=32;function r(t,e,r){for(var n=2*(t+1),i=t+1;i<=e;++i){for(var a=r[n++],o=r[n++],s=i,l=n-2;s-- >t;){var u=r[l-2],c=r[l-1];if(ur[e+1])}function l(t,e,r,n){var i=n[t*=2];return 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c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var z=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},1011:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(5827),i=r(2944),a=r(1943).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},2864:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]E&&(w|=1<E&&(w|=1<u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1< HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n b - PI :\\n b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n // if ratio is set to 0.5 then it is 50%, 50%.\\n // when using a higher ratio e.g. 0.75 the result would\\n // likely be more horizontal than vertical.\\n\\n float b = positive_angle(a);\\n\\n return\\n (b < ( ratio) * HALF_PI) ? 0.0 :\\n (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n 0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n float b = positive_angle(a);\\n float div = TWO_PI / float(n);\\n float c = roundTo(b, div);\\n return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n return\\n (option > 2) ? look_round_n_directions(rawAngle + delta, option) : // option 3-n: round to n directions\\n (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n (option == 1) ? rawAngle + delta : // use free angle, and flip to align with one direction of the axis\\n (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n (option ==-1) ? 0.0 : // useful for backward compatibility, all texts remains horizontal\\n rawAngle; // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n (axis.y == 0.0) &&\\n (axis.z == 0.0);\\n\\nvoid main() {\\n //Compute world offset\\n float axisDistance = position.z;\\n vec3 dataPosition = axisDistance * axis + offset;\\n\\n float beta = angle; // i.e. user defined attributes for each tick\\n\\n float axisAngle;\\n float clipAngle;\\n float flip;\\n\\n if (enableAlign) {\\n axisAngle = (isAxisTitle) ? HALF_PI :\\n computeViewAngle(dataPosition, dataPosition + axis);\\n clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n beta += applyAlignOption(clipAngle, flip * PI);\\n }\\n\\n //Compute plane offset\\n vec2 planeCoord = position.xy * pixelScale;\\n\\n mat2 planeXform = scale * mat2(\\n cos(beta), sin(beta),\\n -sin(beta), cos(beta)\\n );\\n\\n vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n //Compute clip position\\n vec3 clipPosition = project(dataPosition);\\n\\n //Apply text offset in clip coordinates\\n clipPosition += vec3(viewOffset, 0.0);\\n\\n //Done\\n gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n gl_FragColor = color;\\n}\"]);e.f=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n vec3 realNormal = signAxis * normal;\\n\\n if(dot(realNormal, enable) > 0.0) {\\n vec3 minRange = min(bounds[0], bounds[1]);\\n vec3 maxRange = max(bounds[0], bounds[1]);\\n vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n } else {\\n gl_Position = vec4(0,0,0,0);\\n }\\n\\n colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n gl_FragColor = colorChannel.x * colors[0] +\\n colorChannel.y * colors[1] +\\n colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;nr)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},1140:function(t,e,r){\"use strict\";var n=r(2858);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=0;mo&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},7234:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * conePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(conePosition, 1.0);\\n vec4 t_position = view * conePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = conePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n // Return up-vector for only-z vector.\\n // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n // From the above if-statement we have ||a|| > 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n// segment + 0 top vertex\\n// segment + 1 perimeter vertex a+1\\n// segment + 2 perimeter vertex a\\n// segment + 3 center base vertex\\n// segment + 4 perimeter vertex a\\n// segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n const float segmentCount = 8.0;\\n\\n float index = rawIndex - floor(rawIndex /\\n (segmentCount * 6.0)) *\\n (segmentCount * 6.0);\\n\\n float segment = floor(0.001 + index/6.0);\\n float segmentIndex = index - (segment*6.0);\\n\\n normal = -normalize(d);\\n\\n if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n return mix(vec3(0.0), -d, coneOffset);\\n }\\n\\n float nextAngle = (\\n (segmentIndex > 0.99 && segmentIndex < 1.01) ||\\n (segmentIndex > 4.99 && segmentIndex < 5.01)\\n ) ? 1.0 : 0.0;\\n float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n vec3 v2 = v1 - d;\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d)*0.25;\\n vec3 y = v * sin(angle) * length(d)*0.25;\\n vec3 v3 = v2 + x + y;\\n if (segmentIndex < 3.0) {\\n vec3 tx = u * sin(angle);\\n vec3 ty = v * -cos(angle);\\n vec3 tangent = tx + ty;\\n normal = normalize(cross(v3 - v1, tangent));\\n }\\n\\n if (segmentIndex == 0.0) {\\n return mix(d, vec3(0.0), coneOffset);\\n }\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n vec3 normal;\\n vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n gl_Position = projection * view * conePosition;\\n f_id = id;\\n f_position = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, 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RESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},6603:function(t,e,r){var n=r(1950);t.exports=function(t){return n[t]}},3110:function(t,e,r){\"use strict\";t.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 u=new s(e,r,o,l);return u.update(t),u};var n=r(5827),i=r(2944),a=r(7667),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 u(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 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n=r(8931);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;ac||r<0||r>c)throw new Error(\"gl-fbo: Parameters are too large for FBO\");var f=1;if(\"color\"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error(\"gl-fbo: Must specify a nonnegative number of colors\");if(f>1){if(!u)throw new Error(\"gl-fbo: Multiple draw buffer extension not supported\");if(f>t.getParameter(u.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error(\"gl-fbo: Context does not support \"+f+\" draw buffers\")}}var h=t.UNSIGNED_BYTE,p=t.getExtension(\"OES_texture_float\");if(n.float&&f>0){if(!p)throw new Error(\"gl-fbo: Context does not support floating point textures\");h=t.FLOAT}else 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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;d1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;yi||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(n),o=0;o>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float dashScale;\\nuniform float opacity;\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (\\n outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n fragColor.a * opacity == 0.\\n ) discard;\\n\\n float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n if(dashWeight < 0.5) {\\n discard;\\n }\\n gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX 1.70141184e38\\n#define FLOAT_MIN 1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n float av = abs(v);\\n\\n //Handle special cases\\n if(av < FLOAT_MIN) {\\n return vec4(0.0, 0.0, 0.0, 0.0);\\n } else if(v > FLOAT_MAX) {\\n return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n } else if(v < -FLOAT_MAX) {\\n return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n }\\n\\n vec4 c = vec4(0,0,0,0);\\n\\n //Compute exponent and mantissa\\n float e = floor(log2(av));\\n float m = av * pow(2.0, -e) - 1.0;\\n\\n //Unpack mantissa\\n c[1] = floor(128.0 * m);\\n m -= c[1] / 128.0;\\n c[2] = floor(32768.0 * m);\\n m -= c[2] / 32768.0;\\n c[3] = floor(8388608.0 * m);\\n\\n //Unpack exponent\\n float ebias = e + 127.0;\\n c[0] = floor(ebias / 2.0);\\n ebias -= c[0] * 2.0;\\n c[1] += floor(ebias) * 128.0;\\n\\n //Unpack sign bit\\n c[0] += 128.0 * step(0.0, -v);\\n\\n //Scale back to range\\n return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},6086:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:v(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:v(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},m.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,c=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],v=t.lineWidth||1,g=!1;t:for(e=1;e0){for(var w=0;w<24;++w)i.push(i[i.length-12]);c+=2,g=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(y=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],m=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):y=m=p,3===y.length&&(y=[y[0],y[1],y[2],1]),3===m.length&&(m=[m[0],m[1],m[2],1]),!this.hasAlpha&&y[3]<1&&(this.hasAlpha=!0),x=Array.isArray(v)?v.length>e-1?v[e-1]:v.length>0?v[v.length-1]:[0,0,0,1]:v;var T=s;if(s+=d(b,_),g){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3]);c+=2,g=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,y[0],y[1],y[2],y[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,m[0],m[1],m[2],m[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,m[0],m[1],m[2],m[3]),c+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=c,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},2056:function(t,e,r){var n=r(6832),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n , view\\n , projection\\n , inverseModel;\\nuniform vec3 eyePosition\\n , lightPosition;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n gl_Position = project(position);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * vec4(position , 1.0);\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n float NdotH = max(x, 0.0001);\\n float cos2Alpha = NdotH * NdotH;\\n float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n float roughness2 = roughness * roughness;\\n float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n vec3 lightDirection,\\n vec3 viewDirection,\\n vec3 surfaceNormal,\\n float roughness,\\n float fresnel) {\\n\\n float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n //Half angle vector\\n vec3 H = normalize(lightDirection + viewDirection);\\n\\n //Geometric term\\n float NdotH = max(dot(surfaceNormal, H), 0.0);\\n float VdotH = max(dot(viewDirection, H), 0.000001);\\n float LdotH = max(dot(lightDirection, H), 0.000001);\\n float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n float G = min(1.0, min(G1, G2));\\n \\n //Distribution term\\n float D = beckmannDistribution(NdotH, roughness);\\n\\n //Fresnel term\\n float F = pow(1.0 - VdotN, fresnel);\\n\\n //Multiply terms and done\\n return G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n , fresnel\\n , kambient\\n , kdiffuse\\n , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n , f_lightDirection\\n , f_eyeDirection\\n , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (f_color.a == 0.0 ||\\n outOfRange(clipBounds[0], clipBounds[1], f_data)\\n ) discard;\\n\\n vec3 N = normalize(f_normal);\\n vec3 L = normalize(f_lightDirection);\\n vec3 V = normalize(f_eyeDirection);\\n\\n if(gl_FrontFacing) {\\n N = -N;\\n }\\n\\n float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n float diffuse = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular, 1.0);\\n\\n gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_color = color;\\n f_data = position;\\n f_uv = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n }\\n gl_PointSize = pointSize;\\n f_color = color;\\n f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n if(dot(pointR, pointR) > 0.25) {\\n discard;\\n }\\n gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n f_id = id;\\n f_position = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute float pointSize;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n } else {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n gl_PointSize = pointSize;\\n }\\n f_id = id;\\n f_position = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind()),this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;ai[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],ki[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e=0){var v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;rMath.abs(e))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n uv = position;\\n gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:z,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:D,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;n0&&0===C[e-1];)C.pop(),P.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;tx.distance)continue;for(var u=0;u 1.0) {\\n discard;\\n }\\n baseColor = mix(borderColor, color, step(radius, centerFraction));\\n gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n vec3 hgPosition = matrix * vec3(position, 1);\\n gl_Position = vec4(hgPosition.xy, 0, hgPosition.z);\\n gl_PointSize = pointSize;\\n\\n vec4 id = pickId + pickOffset;\\n id.y += floor(id.x / 256.0);\\n id.x -= floor(id.x / 256.0) * 256.0;\\n\\n id.z += floor(id.y / 256.0);\\n id.y -= floor(id.y / 256.0) * 256.0;\\n\\n id.w += floor(id.z / 256.0);\\n id.z -= floor(id.z / 256.0) * 256.0;\\n\\n fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n if(radius > 1.0) {\\n discard;\\n }\\n gl_FragColor = fragId / 255.0;\\n}\\n\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e>>1;for(r=0;r=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},6093:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = 1.0;\\n if(distance(highlightId, id) < 0.0001) {\\n scale = highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1);\\n vec4 viewPosition = view * worldPosition;\\n viewPosition = viewPosition / viewPosition.w;\\n vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float scale = pixelRatio;\\n if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n scale *= highlightScale;\\n }\\n\\n vec4 worldPosition = model * vec4(position, 1.0);\\n vec4 viewPosition = view * worldPosition;\\n vec4 clipPosition = projection * viewPosition;\\n clipPosition /= clipPosition.w;\\n\\n gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = position;\\n }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n gl_Position = vec4(0,0,0,0);\\n } else {\\n float lscale = pixelRatio * scale;\\n if(distance(highlightId, id) < 0.0001) {\\n lscale *= highlightScale;\\n }\\n\\n vec4 clipCenter = projection * view * model * vec4(position, 1);\\n vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n gl_Position = clipPosition;\\n interpColor = color;\\n pickId = id;\\n dataCoordinate = dataPosition;\\n }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (\\n outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n interpColor.a * opacity == 0.\\n ) discard;\\n gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n0){var I=0,D=x,z=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(y)&&Array.isArray(y[0]);t:for(n=0;n<_;++n){for(m+=1,w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),c[T]=Math.min(c[T],w[T])}k=(N=P(h,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?n0?1-M[0][0]:Z<0?1+M[1][0]:1,Y*=Y>0?1-M[0][1]:Y<0?1+M[1][1]:1],X=k.cells||[],J=k.positions||[];for(T=0;T0){var y=r*c;o.drawBox(f-y,h-y,p+y,h+y,a),o.drawBox(f-y,d-y,p+y,d+y,a),o.drawBox(f-y,h-y,f+y,d+y,a),o.drawBox(p-y,h-y,p+y,d+y,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)}},2611:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=e[0],a=e[1];return new l(t,n(t,r,a,{}),i.mallocUint8(r*a*4))};var n=r(4234),i=r(5306),a=r(5050),o=r(2288).nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var u=l.prototype;Object.defineProperty(u,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;ar)for(t=r;te)for(t=e;t=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A=0;)M+=1;_[m]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t=0){if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\"\",\"Invalid data type for attribute \"+f+\": \"+h);s(t,e,p[0],i,d,a,f)}else{if(!(h.indexOf(\"mat\")>=0))throw new n(\"\",\"Unknown data type for attribute \"+f+\": \"+h);var d;if((d=h.charCodeAt(h.length-1)-48)<2||d>4)throw new n(\"\",\"Invalid data type for attribute \"+f+\": 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a||(a[s[0]]=[]),a=a[s[0]];for(var l=1;l1)for(var l=0;l 0 U ||b|| > 0.\\n // Assign z = 0, x = -b, y = a:\\n // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n return normalize(vec3(-v.y, v.x, 0.0));\\n } else {\\n return normalize(vec3(0.0, v.z, -v.y));\\n }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n float segmentCount = 8.0;\\n\\n float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n vec3 u = getOrthogonalVector(d);\\n vec3 v = normalize(cross(u, d));\\n\\n vec3 x = u * cos(angle) * length(d);\\n vec3 y = v * sin(angle) * length(d);\\n vec3 v3 = x + y;\\n\\n normal = normalize(v3);\\n\\n return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n // Scale the vector magnitude to stay constant with\\n // model & view changes.\\n vec3 normal;\\n vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n //Lighting geometry parameters\\n vec4 cameraCoordinate = view * tubePosition;\\n cameraCoordinate.xyz /= cameraCoordinate.w;\\n f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n f_eyeDirection = eyePosition - cameraCoordinate.xyz;\\n f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n // vec4 m_position = model * vec4(tubePosition, 1.0);\\n vec4 t_position = view * tubePosition;\\n gl_Position = projection * t_position;\\n\\n f_color = color;\\n f_data = tubePosition.xyz;\\n f_position = position.xyz;\\n f_uv = uv;\\n}\\n\"]),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), 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e=t[0],r=t[1],n=t[2];return!(eb||r_||nw)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;uS&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});for(var B=0;B<100*u&&P.lengthA&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s0)for(T=0;T<8;T++){var k=(T+1)%8;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s 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 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dataCoordinate;\\n vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n vec4 clipPosition = projection * view * worldPosition;\\n clipPosition.z += zOffset;\\n\\n gl_Position = clipPosition;\\n value = f + objectOffset.z;\\n kill = -1.0;\\n planeCoordinate = uv.zw;\\n\\n vColor = texture2D(colormap, vec2(value, value));\\n\\n //Don't do lighting for contours\\n surfaceNormal = vec3(1,0,0);\\n eyeDirection = vec3(0,1,0);\\n lightDirection = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n return ((p > max(a, b)) || \\n (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n return (outOfRange(a.x, b.x, p.x) ||\\n outOfRange(a.y, b.y, p.y) ||\\n outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n float vh = 255.0 * v;\\n float upper = floor(vh);\\n float lower = fract(vh);\\n return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n if ((kill > 0.0) ||\\n (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},3754:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;rt&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},D=T.slice(),z=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=z,n.vertexColor=this.vertexColor;var s=D;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;es||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return 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e>t==t>0?o===a?(r+=1,o=0):o+=1:0===o?(o=a,r-=1):o-=1,n.pack(o,r)}},115:function(t,e){e.vertexNormals=function(t,e,r){for(var n=e.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;oa){var b=i[u],_=1/Math.sqrt(g*m);for(x=0;x<3;++x){var w=(x+1)%3,T=(x+2)%3;b[x]+=_*(y[w]*v[T]-y[T]*v[w])}}}for(o=0;oa)for(_=1/Math.sqrt(k),x=0;x<3;++x)b[x]*=_;else for(x=0;x<3;++x)b[x]=0}return i},e.faceNormals=function(t,e,r){for(var n=t.length,i=new Array(n),a=void 0===r?1e-6:r,o=0;oa?1/Math.sqrt(p):0,u=0;u<3;++u)h[u]*=p;i[o]=h}return i}},567:function(t){\"use strict\";t.exports=function(t,e,r,n,i,a,o,s,l,u){var c=e+a+u;if(f>0){var f=Math.sqrt(c+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,u);f=Math.sqrt(2*h-c+1),e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},7774:function(t,e,r){\"use strict\";t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),c(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(8444),i=r(3012),a=r(5950),o=r(7437),s=r(567);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function c(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=u(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;c(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var u=0,f=0;f<3;++f)u+=r[l+4*f]*i[f];r[12+l]=-u}},h.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],u=l(a,o,s);a/=u,o/=u,s/=u;var 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r,n,o,s,l,u,c,f,h,p=1,d=t.length,v=\"\";for(n=0;n=0),s.type){case\"b\":r=parseInt(r,10).toString(2);break;case\"c\":r=String.fromCharCode(parseInt(r,10));break;case\"d\":case\"i\":r=parseInt(r,10);break;case\"j\":r=JSON.stringify(r,null,s.width?parseInt(s.width):0);break;case\"e\":r=s.precision?parseFloat(r).toExponential(s.precision):parseFloat(r).toExponential();break;case\"f\":r=s.precision?parseFloat(r).toFixed(s.precision):parseFloat(r);break;case\"g\":r=s.precision?String(Number(r.toPrecision(s.precision))):parseFloat(r);break;case\"o\":r=(parseInt(r,10)>>>0).toString(8);break;case\"s\":r=String(r),r=s.precision?r.substring(0,s.precision):r;break;case\"t\":r=String(!!r),r=s.precision?r.substring(0,s.precision):r;break;case\"T\":r=Object.prototype.toString.call(r).slice(8,-1).toLowerCase(),r=s.precision?r.substring(0,s.precision):r;break;case\"u\":r=parseInt(r,10)>>>0;break;case\"v\":r=r.valueOf(),r=s.precision?r.substring(0,s.precision):r;break;case\"x\":r=(parseInt(r,10)>>>0).toString(16);break;case\"X\":r=(parseInt(r,10)>>>0).toString(16).toUpperCase()}i.json.test(s.type)?v+=r:(!i.number.test(s.type)||f&&!s.sign?h=\"\":(h=f?\"+\":\"-\",r=r.toString().replace(i.sign,\"\")),u=s.pad_char?\"0\"===s.pad_char?\"0\":s.pad_char.charAt(1):\" 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s[t]=n}(t),arguments)}function o(t,e){return a.apply(null,[t].concat(e||[]))}var s=Object.create(null);e.sprintf=a,e.vsprintf=o,\"undefined\"!=typeof window&&(window.sprintf=a,window.vsprintf=o,void 0===(n=function(){return{sprintf:a,vsprintf:o}}.call(e,r,e,t))||(t.exports=n))}()},4162:function(t,e,r){\"use strict\";t.exports=function(t,e){if(t.dimension<=0)return{positions:[],cells:[]};if(1===t.dimension)return function(t,e){for(var r=i(t,e),n=r.length,a=new Array(n),o=new Array(n),s=0;sn|0},vertex:function(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=(o<<0)+(s<<1)+(l<<2)+(u<<3)|0;if(0!==p&&15!==p)switch(p){case 0:case 15:c.push([t-.5,e-.5]);break;case 1:c.push([t-.25-.25*(n+r-2*h)/(r-n),e-.25-.25*(i+r-2*h)/(r-i)]);break;case 2:c.push([t-.75-.25*(-n-r+2*h)/(n-r),e-.25-.25*(a+n-2*h)/(n-a)]);break;case 3:c.push([t-.5,e-.5-.5*(i+r+a+n-4*h)/(r-i+n-a)]);break;case 4:c.push([t-.25-.25*(a+i-2*h)/(i-a),e-.75-.25*(-i-r+2*h)/(i-r)]);break;case 5:c.push([t-.5-.5*(n+r+a+i-4*h)/(r-n+i-a),e-.5]);break;case 6:c.push([t-.5-.25*(-n-r+a+i)/(n-r+i-a),e-.5-.25*(-i-r+a+n)/(i-r+n-a)]);break;case 7:c.push([t-.75-.25*(a+i-2*h)/(i-a),e-.75-.25*(a+n-2*h)/(n-a)]);break;case 8:c.push([t-.75-.25*(-a-i+2*h)/(a-i),e-.75-.25*(-a-n+2*h)/(a-n)]);break;case 9:c.push([t-.5-.25*(n+r+-a-i)/(r-n+a-i),e-.5-.25*(i+r+-a-n)/(r-i+a-n)]);break;case 10:c.push([t-.5-.5*(-n-r-a-i+4*h)/(n-r+a-i),e-.5]);break;case 11:c.push([t-.25-.25*(-a-i+2*h)/(a-i),e-.75-.25*(i+r-2*h)/(r-i)]);break;case 12:c.push([t-.5,e-.5-.5*(-i-r-a-n+4*h)/(i-r+a-n)]);break;case 13:c.push([t-.75-.25*(n+r-2*h)/(r-n),e-.25-.25*(-a-n+2*h)/(a-n)]);break;case 14:c.push([t-.25-.25*(-n-r+2*h)/(n-r),e-.25-.25*(-i-r+2*h)/(i-r)])}},cell:function(t,e,r,n,i,a,o,s,l){i?s.push([t,e]):s.push([e,t])}});return function(t,e){var r=[],i=[];return n(t,r,i,e),{positions:r,cells:i}}}},o={}},6946:function(t,e,r){\"use strict\";t.exports=function t(e,r,i){i=i||{};var a=o[e];a||(a=o[e]={\" \":{data:new Float32Array(0),shape:.2}});var s=a[r];if(!s)if(r.length<=1||!/\\d/.test(r))s=a[r]=function(t){for(var e=t.cells,r=t.positions,n=new Float32Array(6*e.length),i=0,a=0,o=0;o0&&(f+=.02);var p=new Float32Array(c),d=0,v=-.5*f;for(h=0;hMath.max(r,n)?i[2]=1:r>Math.max(e,n)?i[0]=1:i[1]=1;for(var a=0,o=0,l=0;l<3;++l)a+=t[l]*t[l],o+=i[l]*t[l];for(l=0;l<3;++l)i[l]-=o/a*t[l];return s(i,i),i}function h(t,e,r,i,a,o,s,l){this.center=n(r),this.up=n(i),this.right=n(a),this.radius=n([o]),this.angle=n([s,l]),this.angle.bounds=[[-1/0,-Math.PI/2],[1/0,Math.PI/2]],this.setDistanceLimits(t,e),this.computedCenter=this.center.curve(0),this.computedUp=this.up.curve(0),this.computedRight=this.right.curve(0),this.computedRadius=this.radius.curve(0),this.computedAngle=this.angle.curve(0),this.computedToward=[0,0,0],this.computedEye=[0,0,0],this.computedMatrix=new Array(16);for(var u=0;u<16;++u)this.computedMatrix[u]=.5;this.recalcMatrix(0)}var p=h.prototype;p.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},p.getDistanceLimits=function(t){var e=this.radius.bounds[0];return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},p.recalcMatrix=function(t){this.center.curve(t),this.up.curve(t),this.right.curve(t),this.radius.curve(t),this.angle.curve(t);for(var e=this.computedUp,r=this.computedRight,n=0,i=0,a=0;a<3;++a)i+=e[a]*r[a],n+=e[a]*e[a];var l=Math.sqrt(n),c=0;for(a=0;a<3;++a)r[a]-=e[a]*i/n,c+=r[a]*r[a],e[a]/=l;var f=Math.sqrt(c);for(a=0;a<3;++a)r[a]/=f;var h=this.computedToward;o(h,e,r),s(h,h);var p=Math.exp(this.computedRadius[0]),d=this.computedAngle[0],v=this.computedAngle[1],g=Math.cos(d),y=Math.sin(d),m=Math.cos(v),x=Math.sin(v),b=this.computedCenter,_=g*m,w=y*m,T=x,k=-g*x,A=-y*x,M=m,S=this.computedEye,E=this.computedMatrix;for(a=0;a<3;++a){var L=_*r[a]+w*h[a]+T*e[a];E[4*a+1]=k*r[a]+A*h[a]+M*e[a],E[4*a+2]=L,E[4*a+3]=0}var C=E[1],P=E[5],O=E[9],I=E[2],D=E[6],z=E[10],R=P*z-O*D,F=O*I-C*z,B=C*D-P*I,N=u(R,F,B);for(R/=N,F/=N,B/=N,E[0]=R,E[4]=F,E[8]=B,a=0;a<3;++a)S[a]=b[a]+E[2+4*a]*p;for(a=0;a<3;++a){c=0;for(var j=0;j<3;++j)c+=E[a+4*j]*S[j];E[12+a]=-c}E[15]=1},p.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r};var d=[0,0,0];p.rotate=function(t,e,r,n){if(this.angle.move(t,e,r),n){this.recalcMatrix(t);var i=this.computedMatrix;d[0]=i[2],d[1]=i[6],d[2]=i[10];for(var o=this.computedUp,s=this.computedRight,l=this.computedToward,u=0;u<3;++u)i[4*u]=o[u],i[4*u+1]=s[u],i[4*u+2]=l[u];for(a(i,i,n,d),u=0;u<3;++u)o[u]=i[4*u],s[u]=i[4*u+1];this.up.set(t,o[0],o[1],o[2]),this.right.set(t,s[0],s[1],s[2])}},p.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Z),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,O=E*k+L*A+C*M;y=R<0?-Math.PI/2:Math.PI/2,m=Math.atan2(O,P)}else{var I=e[2],D=e[6],z=e[10],R=I*s+D*l+z*f,F=I*x+D*b+z*_,B=I*k+D*A+z*M;y=Math.asin(c(R)),m=Math.atan2(B,F)}this.angle.jump(t,m,y),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Z=V[14]/H,Y=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*Y,G-j*Y,Z-U*Y)},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=u(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=u(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,v=d[0],g=d[1],y=d[2],m=i*v+a*g+o*y,x=u(v-=m*i,g-=m*a,y-=m*o);if(!(x<.01&&(x=u(v=a*h-o*f,g=o*l-i*h,y=i*f-a*l))<1e-6)){v/=x,g/=x,y/=x,this.up.set(t,i,a,o),this.right.set(t,v,g,y),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*y-o*g,_=o*v-i*y,w=i*g-a*v,T=u(b,_,w),k=i*l+a*f+o*h,A=v*l+g*f+y*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(c(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var O=Math.abs(C+2*Math.PI-E),I=Math.abs(C-E),D=Math.abs(C-2*Math.PI-E);O0?r.pop():new ArrayBuffer(t)}function d(t){return new Uint8Array(p(t),0,t)}function v(t){return new Uint16Array(p(2*t),0,t)}function g(t){return new Uint32Array(p(4*t),0,t)}function y(t){return new Int8Array(p(t),0,t)}function m(t){return new Int16Array(p(2*t),0,t)}function x(t){return new 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h2){for(var w=!t.position[0].length,k=c.mallocFloat(2*this.count),A=0,M=0;A1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=c.mallocUint8(G);for(var Z=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y4||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;K1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},12018:function(t,e,r){\"use strict\";var n=r(71299);function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.g.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.g.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 t.style.position=\"absolute\",t.style.top=0,t.style.left=0,t}t.exports=function(t){var e;if(t?\"string\"==typeof t&&(t={container:t}):t={},(t=a(t)||\"string\"==typeof(e=t).nodeName&&\"function\"==typeof e.appendChild&&\"function\"==typeof e.getBoundingClientRect?{container:t}:function(t){return\"function\"==typeof t.drawArrays||\"function\"==typeof t.drawElements}(t)?{gl:t}:n(t,{container:\"container target element el canvas holder parent parentNode wrapper use ref root node\",gl:\"gl context webgl 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Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))},Br.prototype.eachChild=function(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)},Br.prototype.outputDefined=function(){return!1},Br.prototype.serialize=function(){var t={};return this.locale&&(t.locale=this.locale.serialize()),this.currency&&(t.currency=this.currency.serialize()),this.minFractionDigits&&(t[\"min-fraction-digits\"]=this.minFractionDigits.serialize()),this.maxFractionDigits&&(t[\"max-fraction-digits\"]=this.maxFractionDigits.serialize()),[\"number-format\",this.number.serialize(),t]};var Nr=function(t){this.type=Ht,this.input=t};Nr.parse=function(t,e){if(2!==t.length)return e.error(\"Expected 1 argument, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1);return r?\"array\"!==r.type.kind&&\"string\"!==r.type.kind&&\"value\"!==r.type.kind?e.error(\"Expected argument of type string or array, but found \"+Qt(r.type)+\" instead.\"):new Nr(r):null},Nr.prototype.evaluate=function(t){var e=this.input.evaluate(t);if(\"string\"==typeof e)return e.length;if(Array.isArray(e))return e.length;throw new ge(\"Expected value to be of type string or array, but found \"+Qt(pe(e))+\" 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e[0].value.indexOf(t.geometryType())>=0}],\"filter-id-in\":[Gt,[$t(Wt)],function(t,e){return e[0].value.indexOf(t.id())>=0}],\"filter-in-small\":[Gt,[qt,$t(Wt)],function(t,e){var r=e[0];return e[1].value.indexOf(t.properties()[r.value])>=0}],\"filter-in-large\":[Gt,[qt,$t(Wt)],function(t,e){var r=e[0],n=e[1];return function(t,e,r,n){for(;r<=n;){var i=r+n>>1;if(e[i]===t)return!0;e[i]>t?n=i-1:r=i+1}return!1}(t.properties()[r.value],n.value,0,n.value.length-1)}],all:{type:Gt,overloads:[[[Gt,Gt],function(t,e){var r=e[0],n=e[1];return r.evaluate(t)&&n.evaluate(t)}],[qr(Gt),function(t,e){for(var r=0,n=e;r0&&\"string\"==typeof t[0]&&t[0]in jr}function ln(t,e){var r=new We(jr,[],e?function(t){var e={color:Zt,string:qt,number:Ht,enum:qt,boolean:Gt,formatted:Jt,resolvedImage:Kt};return\"array\"===t.type?$t(e[t.value]||Wt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Gr(new on(n,e)):Zr(r.errors)}on.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},on.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new ge(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var un=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Ge(e.expression)};un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},un.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var cn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Ge(e.expression),this.interpolationType=n};function fn(t,e){if(\"error\"===(t=ln(t,e)).result)return t;var r=t.value.expression,n=qe(r);if(!n&&!Yr(e))return Zr([new jt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Wr(e))return Zr([new jt(\"\",\"zoom expressions not supported\")]);var a=pn(r);if(!a&&!i)return Zr([new jt(\"\",'\"zoom\" expression may only be 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e=1;e\"===r||\"<=\"===r||\">=\"===r?Mn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(An))):\"all\"===r?[\"all\"].concat(t.slice(1).map(An)):\"none\"===r?[\"all\"].concat(t.slice(1).map(An).map(Ln)):\"in\"===r?Sn(t[1],t.slice(2)):\"!in\"===r?Ln(Sn(t[1],t.slice(2))):\"has\"===r?En(t[1]):\"!has\"===r?Ln(En(t[1])):\"within\"!==r||t}function Mn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Sn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Tn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function En(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Ln(t){return[\"!\",t]}function Cn(t){return bn(Nt(t.value))?mn(Ft({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):Pn(t)}function Pn(t){var e=t.value,r=t.key;if(\"array\"!==Jr(e))return[new zt(r,e,\"array expected, \"+Jr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new zt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(xn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Bt(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Bt(e[1])&&a.push(new zt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new zt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Jr(e[1]))&&a.push(new zt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Qn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Qn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Qn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Qn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=$n+this.cells.length+1+1,r=0,n=0;n=0)){var f=t[c];u[c]=ri[l].shallow.indexOf(c)>=0?f:si(f,e)}t instanceof Error&&(u.message=t.message)}if(u.$name)throw new Error(\"$name property is reserved for worker serialization logic.\");return\"Object\"!==l&&(u.$name=l),u}throw new Error(\"can't serialize object of type \"+typeof t)}function li(t){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp||ai(t)||oi(t)||ArrayBuffer.isView(t)||t instanceof ti)return t;if(Array.isArray(t))return t.map(li);if(\"object\"==typeof t){var e=t.$name||\"Object\",r=ri[e].klass;if(!r)throw new Error(\"can't deserialize unregistered class \"+e);if(r.deserialize)return r.deserialize(t);for(var n=Object.create(r.prototype),i=0,a=Object.keys(t);i=0?s:li(s)}}return n}throw new Error(\"can't deserialize object of type \"+typeof t)}var ui=function(){this.first=!0};ui.prototype.update=function(t,e){var r=Math.floor(t);return this.first?(this.first=!1,this.lastIntegerZoom=r,this.lastIntegerZoomTime=0,this.lastZoom=t,this.lastFloorZoom=r,!0):(this.lastFloorZoom>r?(this.lastIntegerZoom=r+1,this.lastIntegerZoomTime=e):this.lastFloorZoom=128&&t<=255},Arabic:function(t){return t>=1536&&t<=1791},\"Arabic 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t>=11008&&t<=11263},\"CJK Radicals Supplement\":function(t){return t>=11904&&t<=12031},\"Kangxi Radicals\":function(t){return t>=12032&&t<=12255},\"Ideographic Description Characters\":function(t){return t>=12272&&t<=12287},\"CJK Symbols and Punctuation\":function(t){return t>=12288&&t<=12351},Hiragana:function(t){return t>=12352&&t<=12447},Katakana:function(t){return t>=12448&&t<=12543},Bopomofo:function(t){return t>=12544&&t<=12591},\"Hangul Compatibility Jamo\":function(t){return t>=12592&&t<=12687},Kanbun:function(t){return t>=12688&&t<=12703},\"Bopomofo Extended\":function(t){return t>=12704&&t<=12735},\"CJK Strokes\":function(t){return t>=12736&&t<=12783},\"Katakana Phonetic Extensions\":function(t){return t>=12784&&t<=12799},\"Enclosed CJK Letters and Months\":function(t){return t>=12800&&t<=13055},\"CJK Compatibility\":function(t){return t>=13056&&t<=13311},\"CJK Unified Ideographs Extension A\":function(t){return t>=13312&&t<=19903},\"Yijing Hexagram 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e=0,r=t;e=65097&&t<=65103)||ci[\"CJK Compatibility Ideographs\"](t)||ci[\"CJK Compatibility\"](t)||ci[\"CJK Radicals Supplement\"](t)||ci[\"CJK Strokes\"](t)||!(!ci[\"CJK Symbols and Punctuation\"](t)||t>=12296&&t<=12305||t>=12308&&t<=12319||12336===t)||ci[\"CJK Unified Ideographs Extension A\"](t)||ci[\"CJK Unified Ideographs\"](t)||ci[\"Enclosed CJK Letters and Months\"](t)||ci[\"Hangul Compatibility Jamo\"](t)||ci[\"Hangul Jamo Extended-A\"](t)||ci[\"Hangul Jamo Extended-B\"](t)||ci[\"Hangul Jamo\"](t)||ci[\"Hangul Syllables\"](t)||ci.Hiragana(t)||ci[\"Ideographic Description Characters\"](t)||ci.Kanbun(t)||ci[\"Kangxi Radicals\"](t)||ci[\"Katakana Phonetic Extensions\"](t)||ci.Katakana(t)&&12540!==t||!(!ci[\"Halfwidth and Fullwidth Forms\"](t)||65288===t||65289===t||65293===t||t>=65306&&t<=65310||65339===t||65341===t||65343===t||t>=65371&&t<=65503||65507===t||t>=65512&&t<=65519)||!(!ci[\"Small Form Variants\"](t)||t>=65112&&t<=65118||t>=65123&&t<=65126)||ci[\"Unified Canadian 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Ri=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ri.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Ni(this._properties),i=0,a=Object.keys(this._values);in.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ui),Hi=function(t){this.specification=t};Hi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom),e)),t.expression.evaluate(new Pi(Math.floor(e.zoom+1),e)),e)}},Hi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Hi.prototype.interpolate=function(t){return t};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},qi.prototype.interpolate=function(){return!1};var Gi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Oi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ii(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};ni(\"DataDrivenProperty\",Ui),ni(\"DataConstantProperty\",ji),ni(\"CrossFadedDataDrivenProperty\",Vi),ni(\"CrossFadedProperty\",Hi),ni(\"ColorRampProperty\",qi);var Zi=\"-transition\",Yi=function(t){function 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Ji);la.prototype.bytesPerElement=12,ni(\"StructArrayLayout2i2i2i12\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Ji);ua.prototype.bytesPerElement=16,ni(\"StructArrayLayout2f1f2i16\",ua);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Ji);ca.prototype.bytesPerElement=12,ni(\"StructArrayLayout2ub2f12\",ca);var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Ji);ha.prototype.bytesPerElement=48,ni(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",ha);var pa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=u,this.uint16[L+9]=c,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=v,this.uint16[L+15]=g,this.uint16[L+16]=y,this.uint16[L+17]=m,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Ji);pa.prototype.bytesPerElement=68,ni(\"StructArrayLayout8i15ui1ul4f68\",pa);var da=function(t){function e(){t.apply(this,arguments)}return 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}(Ji);da.prototype.bytesPerElement=4,ni(\"StructArrayLayout1f4\",da);var va=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}(Ji);va.prototype.bytesPerElement=6,ni(\"StructArrayLayout3i6\",va);var ga=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}(Ji);ga.prototype.bytesPerElement=8,ni(\"StructArrayLayout1ul2ui8\",ga);var ya=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 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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}(Ji);xa.prototype.bytesPerElement=8,ni(\"StructArrayLayout2f8\",xa);var ba=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}(Ji);ba.prototype.bytesPerElement=16,ni(\"StructArrayLayout4f16\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Xi);_a.prototype.size=20;var wa=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 _a(this,t)},e}(sa);ni(\"CollisionBoxArray\",wa);var Ta=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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S=o.content;x=zu(h,0,S[0]),_=zu(p,0,S[1]),b=zu(h,S[0],S[2]),w=zu(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,i,l,u){var h=Fu(n.stretch-x,b,c,t.left),p=Bu(n.fixed-T,k,n.stretch,v),d=Fu(i.stretch-_,w,f,t.top),y=Bu(i.fixed-A,M,i.stretch,g),m=Fu(l.stretch-x,b,c,t.left),S=Bu(l.fixed-T,k,l.stretch,v),E=Fu(u.stretch-_,w,f,t.top),L=Bu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,H=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+Iu+j,y:o.paddedRect.y+Iu+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Ru(h,y,v),C=Ru(p,m,g),P=0;P0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var v=o.top*s-l,g=o.bottom*s+l,y=o.left*s-l,m=o.right*s+l,x=o.collisionPadding;if(x&&(y-=x[0]*s,v-=x[1]*s,m+=x[2]*s,g+=x[3]*s),c){var b=new a(y,v),_=new a(m,v),w=new a(y,g),T=new a(m,g),k=c*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),y=Math.min(b.x,_.x,w.x,T.x),m=Math.max(b.x,_.x,w.x,T.x),v=Math.min(b.y,_.y,w.y,T.y),g=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,y,v,m,g,r,n,i)}this.boxEndIndex=t.length},ju=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=Uu),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 Uu(t,e){return te?1:0}function Vu(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,i=1/0,o=-1/0,s=-1/0,l=t[0],u=0;uo)&&(o=c.x),(!u||c.y>s)&&(s=c.y)}var f=o-n,h=s-i,p=Math.min(f,h),d=p/2,v=new ju([],Hu);if(0===p)return new a(n,i);for(var g=n;gm.d||!m.d)&&(m=b,r&&console.log(\"found best %d after %d probes\",Math.round(1e4*b.d)/1e4,x)),b.max-m.d<=e||(d=b.h/2,v.push(new qu(b.p.x-d,b.p.y-d,d,t)),v.push(new qu(b.p.x+d,b.p.y-d,d,t)),v.push(new qu(b.p.x-d,b.p.y+d,d,t)),v.push(new qu(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log(\"num probes: \"+x),console.log(\"best distance: \"+m.d)),m.p}function Hu(t,e){return e.max-t.max}function qu(t,e,r,n){this.p=new a(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;it.y!=c.y>t.y&&t.x<(c.x-u.x)*(t.y-u.y)/(c.y-u.y)+u.x&&(r=!r),n=Math.min(n,ko(t,u,c))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}ju.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},ju.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},ju.prototype.peek=function(){return this.data[0]},ju.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},ju.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t=0)break;e[t]=o,t=a}e[t]=i};var Gu=7,Zu=Number.POSITIVE_INFINITY;function Yu(t,e){return e[1]!==Zu?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-Gu;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=-r+Gu}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-Gu;break;case\"bottom-right\":case\"bottom-left\":n=-i+Gu;break;case\"bottom\":n=-e+Gu;break;case\"top\":n=e-Gu}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function Wu(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}var Xu=255,Ju=Xu*bu;function Ku(t,e,r,n,i,o,s,l,u,c,f,h,p,d,v){var g=function(t,e,r,n,i,o,s,l){for(var u=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,c=[],f=0,h=e.positionedLines;fJu&&w(t.layerIds[0]+': Value for \"text-size\" is >= '+Xu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[bu*d.compositeTextSizes[0].evaluate(s,{},v),bu*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>Ju||m[1]>Ju)&&w(t.layerIds[0]+': Value for \"text-size\" is >= '+Xu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x=0;o--)if(n.dist(a[o])0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new Pi(this.zoom),v=0,g=t;v=0;for(var I=0,D=k.sections;I=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;l0},sc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},sc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},sc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},sc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},sc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i1||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=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},ni(\"SymbolBucket\",sc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),sc.MAX_GLYPHS=65535,sc.addDynamicAttributes=nc;var lc=new Gi({\"symbol-placement\":new ji(Dt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new ji(Dt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new ji(Dt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ui(Dt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new ji(Dt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new ji(Dt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new ji(Dt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new ji(Dt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new ji(Dt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ui(Dt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new ji(Dt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new ji(Dt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ui(Dt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ui(Dt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ji(Dt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new ji(Dt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ui(Dt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ui(Dt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new ji(Dt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new ji(Dt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new ji(Dt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ui(Dt.layout_symbol[\"text-field\"]),\"text-font\":new Ui(Dt.layout_symbol[\"text-font\"]),\"text-size\":new Ui(Dt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ui(Dt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new ji(Dt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ui(Dt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ui(Dt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ui(Dt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new ji(Dt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ui(Dt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new ji(Dt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new ji(Dt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ui(Dt.layout_symbol[\"text-rotate\"]),\"text-padding\":new ji(Dt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new ji(Dt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ui(Dt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ui(Dt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new ji(Dt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new ji(Dt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new ji(Dt.layout_symbol[\"text-optional\"])}),uc={paint:new Gi({\"icon-opacity\":new Ui(Dt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ui(Dt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ui(Dt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ui(Dt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ui(Dt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new ji(Dt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new ji(Dt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ui(Dt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ui(Dt.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ui(Dt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ui(Dt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ui(Dt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new ji(Dt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new ji(Dt.paint_symbol[\"text-translate-anchor\"])}),layout:lc},cc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Vt,this.defaultValue=t};cc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},cc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},cc.prototype.outputDefined=function(){return!1},cc.prototype.serialize=function(){return null},ni(\"FormatSectionOverride\",cc,{omit:[\"defaultValue\"]});var fc=function(t){function e(e){t.call(this,e,uc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a\",targetMapId:n,sourceMapId:a.mapId})}}},Ac.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Ac.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Ac.prototype.processTask=function(t,e){var r=this;if(\"\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(li(e.error)):n(null,li(e.data)))}else{var i=!1,a=E(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"\",sourceMapId:r.mapId,error:e?si(e):null,data:si(n,a)},a)}:function(t){i=!0},s=null,l=li(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Ac.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Sc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Sc.prototype.setNorthEast=function(t){return this._ne=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.setSouthWest=function(t){return this._sw=t instanceof Lc?new Lc(t.lng,t.lat):Lc.convert(t),this},Sc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Lc)e=t,r=t;else{if(!(t instanceof Sc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Sc.convert(a))}var o=t;return this.extend(Lc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Lc(e.lng,e.lat),this._ne=new Lc(r.lng,r.lat)),this},Sc.prototype.getCenter=function(){return new Lc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Sc.prototype.getSouthWest=function(){return this._sw},Sc.prototype.getNorthEast=function(){return this._ne},Sc.prototype.getNorthWest=function(){return new Lc(this.getWest(),this.getNorth())},Sc.prototype.getSouthEast=function(){return new Lc(this.getEast(),this.getSouth())},Sc.prototype.getWest=function(){return this._sw.lng},Sc.prototype.getSouth=function(){return this._sw.lat},Sc.prototype.getEast=function(){return this._ne.lng},Sc.prototype.getNorth=function(){return this._ne.lat},Sc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Sc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Sc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Sc.prototype.contains=function(t){var e=Lc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Sc.convert=function(t){return!t||t instanceof Sc?t:new Sc(t)};var Ec=6371008.8,Lc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Lc.prototype.wrap=function(){return new Lc(c(this.lng,-180,180),this.lat)},Lc.prototype.toArray=function(){return[this.lng,this.lat]},Lc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Lc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Ec*Math.acos(Math.min(i,1))},Lc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Sc(new Lc(this.lng-r,this.lat-e),new Lc(this.lng+r,this.lat+e))},Lc.convert=function(t){if(t instanceof Lc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Lc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Lc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: , lat: }, an object {lon: , lat: }, or an array of [, ]\")};var Cc=2*Math.PI*Ec;function Pc(t){return Cc*Math.cos(t*Math.PI/180)}function Oc(t){return(180+t)/360}function Ic(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Dc(t,e){return t/Pc(e)}function zc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Rc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Rc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Lc.convert(t);return new Rc(Oc(r.lng),Ic(r.lat),Dc(e,r.lat))},Rc.prototype.toLngLat=function(){return new Lc(360*this.x-180,zc(this.y))},Rc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Pc(zc(e));var t,e},Rc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Cc*(t=zc(this.y),1/Math.cos(t*Math.PI/180));var t};var Fc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=jc(0,t,t,e,r)};Fc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Fc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Mc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Mc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<this.canonical.z?new Nc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Nc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Nc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?jc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):jc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Nc.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ>e&&t.canonical.y===this.canonical.y>>e},Nc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Nc(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new Nc(e,this.wrap,e,r,n),new Nc(e,this.wrap,e,r+1,n),new Nc(e,this.wrap,e,r,n+1),new Nc(e,this.wrap,e,r+1,n+1)]},Nc.prototype.isLessThan=function(t){return this.wrapt.wrap)&&(this.overscaledZt.overscaledZ)&&(this.canonical.xt.canonical.x)&&this.canonical.y=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},Uc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Uc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Uc.prototype.getPixels=function(){return new Wo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Uc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Zc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Js.VectorTile(new Sl(this.rawTileData)).layers,this.sourceLayerCoder=new Vc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Zc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=co/t.tileSize/t.scale,l=wn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Wc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Wc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new Pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;vn)i=!1;else if(e)if(this.expirationTimect&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),yt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Ou,t.clone=function(t){var e=new Io(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=b,t.clone$2=function(t){var e=new Io(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=_l,t.config=B,t.create=function(){var t=new Io(16);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Io(9);return Io!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Io(4);return Io!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=ln,t.createLayout=Ki,t.createStyleLayer=function(t){return\"custom\"===t.type?new gc(t):new yc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=$e,t.offscreenCanvasSupported=mt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),u=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*u,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*u,t[15]=1,t},t.parseGlyphPBF=function(t){return new Sl(t).readFields(Wl,[])},t.pbf=Sl,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=co/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,u=t.layers[0]._unevaluatedLayout._values,c={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;c.compositeTextSizes=[u[\"text-size\"].possiblyEvaluate(new Pi(h),o),u[\"text-size\"].possiblyEvaluate(new Pi(p),o)]}if(\"composite\"===t.iconSizeData.kind){var d=t.iconSizeData,v=d.minZoom,g=d.maxZoom;c.compositeIconSizes=[u[\"icon-size\"].possiblyEvaluate(new Pi(v),o),u[\"icon-size\"].possiblyEvaluate(new Pi(g),o)]}c.layoutTextSize=u[\"text-size\"].possiblyEvaluate(new Pi(t.zoom+1),o),c.layoutIconSize=u[\"icon-size\"].possiblyEvaluate(new Pi(t.zoom+1),o),c.textMaxSize=u[\"text-size\"].possiblyEvaluate(new Pi(18));for(var y=l.get(\"text-line-height\")*kl,m=\"map\"===l.get(\"text-rotation-alignment\")&&\"point\"!==l.get(\"symbol-placement\"),x=l.get(\"text-keep-upright\"),b=l.get(\"text-size\"),_=function(){var a=k[T],s=l.get(\"text-font\").evaluate(a,{},o).join(\",\"),u=b.evaluate(a,{},o),f=c.layoutTextSize.evaluate(a,{},o),h=c.layoutIconSize.evaluate(a,{},o),p={horizontal:{},vertical:void 0},d=a.text,v=[0,0];if(d){var g=d.toString(),_=l.get(\"text-letter-spacing\").evaluate(a,{},o)*kl,A=function(t){for(var e=0,r=t;e=co||f.y<0||f.y>=co||function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A){var M,S,E,L,C,P=t.addToLineVertexArray(e,r),O=0,I=0,D=0,z=0,R=-1,F=-1,B={},N=Fa(\"\"),j=0,U=0;if(void 0===s._unevaluatedLayout.getValue(\"text-radial-offset\")?(j=(M=s.layout.get(\"text-offset\").evaluate(b,{},k).map((function(t){return t*kl})))[0],U=M[1]):(j=s.layout.get(\"text-radial-offset\").evaluate(b,{},k)*kl,U=Zu),t.allowVerticalPlacement&&n.vertical){var V=s.layout.get(\"text-rotate\").evaluate(b,{},k)+90,H=n.vertical;L=new Nu(l,e,u,c,f,H,h,p,d,V),o&&(C=new Nu(l,e,u,c,f,o,g,y,d,V))}if(i){var q=s.layout.get(\"icon-rotate\").evaluate(b,{}),G=\"none\"!==s.layout.get(\"icon-text-fit\"),Z=Du(i,q,T,G),Y=o?Du(o,q,T,G):void 0;E=new Nu(l,e,u,c,f,i,g,y,!1,q),O=4*Z.length;var W=t.iconSizeData,X=null;\"source\"===W.kind?(X=[bu*s.layout.get(\"icon-size\").evaluate(b,{})])[0]>Ju&&w(t.layerIds[0]+': Value for \"icon-size\" is >= '+Xu+'. Reduce your \"icon-size\".'):\"composite\"===W.kind&&((X=[bu*_.compositeIconSizes[0].evaluate(b,{},k),bu*_.compositeIconSizes[1].evaluate(b,{},k)])[0]>Ju||X[1]>Ju)&&w(t.layerIds[0]+': Value for \"icon-size\" is >= '+Xu+'. Reduce your \"icon-size\".'),t.addSymbols(t.icon,Z,X,x,m,b,!1,e,P.lineStartIndex,P.lineLength,-1,k),R=t.icon.placedSymbolArray.length-1,Y&&(I=4*Y.length,t.addSymbols(t.icon,Y,X,x,m,b,nu.vertical,e,P.lineStartIndex,P.lineLength,-1,k),F=t.icon.placedSymbolArray.length-1)}for(var J in n.horizontal){var K=n.horizontal[J];if(!S){N=Fa(K.text);var $=s.layout.get(\"text-rotate\").evaluate(b,{},k);S=new Nu(l,e,u,c,f,K,h,p,d,$)}var Q=1===K.positionedLines.length;if(D+=Ku(t,e,K,a,s,d,b,v,P,n.vertical?nu.horizontal:nu.horizontalOnly,Q?Object.keys(n.horizontal):[J],B,R,_,k),Q)break}n.vertical&&(z+=Ku(t,e,n.vertical,a,s,d,b,v,P,nu.vertical,[\"vertical\"],B,F,_,k));var tt=S?S.boxStartIndex:t.collisionBoxArray.length,et=S?S.boxEndIndex:t.collisionBoxArray.length,rt=L?L.boxStartIndex:t.collisionBoxArray.length,nt=L?L.boxEndIndex:t.collisionBoxArray.length,it=E?E.boxStartIndex:t.collisionBoxArray.length,at=E?E.boxEndIndex:t.collisionBoxArray.length,ot=C?C.boxStartIndex:t.collisionBoxArray.length,st=C?C.boxEndIndex:t.collisionBoxArray.length,lt=-1,ut=function(t,e){return t&&t.circleDiameter?Math.max(t.circleDiameter,e):e};lt=ut(S,lt),lt=ut(L,lt),lt=ut(E,lt);var ct=(lt=ut(C,lt))>-1?1:0;ct&&(lt*=A/kl),t.glyphOffsetArray.length>=sc.MAX_GLYPHS&&w(\"Too many glyphs being rendered in a tile. See https://github.com/mapbox/mapbox-gl-js/issues/2907\"),void 0!==b.sortKey&&t.addToSortKeyRanges(t.symbolInstances.length,b.sortKey),t.symbolInstances.emplaceBack(e.x,e.y,B.right>=0?B.right:-1,B.center>=0?B.center:-1,B.left>=0?B.left:-1,B.vertical||-1,R,F,N,tt,et,rt,nt,it,at,ot,st,u,D,z,O,I,ct,0,h,j,U,lt)}(t,f,s,r,n,i,h,t.layers[0],t.collisionBoxArray,e.index,e.sourceLayerIndex,t.index,m,T,M,l,b,k,S,d,e,a,u,c,o)};if(\"line\"===E)for(var O=0,I=Ou(e.geometry,0,0,co,co);O1){var U=Lu(j,A,r.vertical||v,n,g,x);U&&P(j,U)}}else if(\"Polygon\"===e.type)for(var V=0,H=Is(e.geometry,0);V=E.maxzoom||\"none\"!==E.visibility&&(o(S,this.zoom,n),(v[E.id]=E.createBucket({index:c.bucketLayerIDs.length,layers:S,zoom:this.zoom,pixelRatio:this.pixelRatio,overscaling:this.overscaling,collisionBoxArray:this.collisionBoxArray,sourceLayerIndex:b,sourceID:this.source})).populate(_,g,this.tileID.canonical),c.bucketLayerIDs.push(S.map((function(t){return t.id}))))}}}var L=t.mapObject(g.glyphDependencies,(function(t){return Object.keys(t).map(Number)}));Object.keys(L).length?a.send(\"getGlyphs\",{uid:this.uid,stacks:L},(function(t,e){f||(f=t,h=e,O.call(l))})):h={};var C=Object.keys(g.iconDependencies);C.length?a.send(\"getImages\",{icons:C,source:this.source,tileID:this.tileID,type:\"icons\"},(function(t,e){f||(f=t,p=e,O.call(l))})):p={};var P=Object.keys(g.patternDependencies);function O(){if(f)return s(f);if(h&&p&&d){var e=new i(h),r=new t.ImageAtlas(p,d);for(var a in v){var l=v[a];l instanceof t.SymbolBucket?(o(l.layers,this.zoom,n),t.performSymbolLayout(l,h,e.positions,p,r.iconPositions,this.showCollisionBoxes,this.tileID.canonical)):l.hasPattern&&(l instanceof t.LineBucket||l instanceof t.FillBucket||l instanceof t.FillExtrusionBucket)&&(o(l.layers,this.zoom,n),l.addFeatures(g,this.tileID.canonical,r.patternPositions))}this.status=\"done\",s(null,{buckets:t.values(v).filter((function(t){return!t.isEmpty()})),featureIndex:c,collisionBoxArray:this.collisionBoxArray,glyphAtlasImage:e.image,imageAtlas:r,glyphMap:this.returnDependencies?h:null,iconMap:this.returnDependencies?p:null,glyphPositions:this.returnDependencies?e.positions:null})}}P.length?a.send(\"getImages\",{icons:P,source:this.source,tileID:this.tileID,type:\"patterns\"},(function(t,e){f||(f=t,d=e,O.call(l))})):d={},O.call(this)};var l=function(t,e,r,n){this.actor=t,this.layerIndex=e,this.availableImages=r,this.loadVectorData=n||s,this.loading={},this.loaded={}};l.prototype.loadTile=function(e,r){var n=this,i=e.uid;this.loading||(this.loading={});var o=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.RequestPerformance(e.request),s=this.loading[i]=new a(e);s.abort=this.loadVectorData(e,(function(e,a){if(delete n.loading[i],e||!a)return s.status=\"done\",n.loaded[i]=s,r(e);var l=a.rawData,u={};a.expires&&(u.expires=a.expires),a.cacheControl&&(u.cacheControl=a.cacheControl);var c={};if(o){var f=o.finish();f&&(c.resourceTiming=JSON.parse(JSON.stringify(f)))}s.vectorTile=a.vectorTile,s.parse(a.vectorTile,n.layerIndex,n.availableImages,n.actor,(function(e,n){if(e||!n)return r(e);r(null,t.extend({rawTileData:l.slice(0)},n,u,c))})),n.loaded=n.loaded||{},n.loaded[i]=s}))},l.prototype.reloadTile=function(t,e){var r=this,n=this.loaded,i=t.uid,a=this;if(n&&n[i]){var o=n[i];o.showCollisionBoxes=t.showCollisionBoxes;var s=function(t,n){var i=o.reloadCallback;i&&(delete o.reloadCallback,o.parse(o.vectorTile,a.layerIndex,r.availableImages,a.actor,i)),e(t,n)};\"parsing\"===o.status?o.reloadCallback=s:\"done\"===o.status&&(o.vectorTile?o.parse(o.vectorTile,this.layerIndex,this.availableImages,this.actor,s):s())}},l.prototype.abortTile=function(t,e){var r=this.loading,n=t.uid;r&&r[n]&&r[n].abort&&(r[n].abort(),delete r[n]),e()},l.prototype.removeTile=function(t,e){var r=this.loaded,n=t.uid;r&&r[n]&&delete r[n],e()};var u=t.window.ImageBitmap,c=function(){this.loaded={}};c.prototype.loadTile=function(e,r){var n=e.uid,i=e.encoding,a=e.rawImageData,o=u&&a instanceof u?this.getImageData(a):a,s=new t.DEMData(n,o,i);this.loaded=this.loaded||{},this.loaded[n]=s,r(null,s)},c.prototype.getImageData=function(e){this.offscreenCanvas&&this.offscreenCanvasContext||(this.offscreenCanvas=new OffscreenCanvas(e.width,e.height),this.offscreenCanvasContext=this.offscreenCanvas.getContext(\"2d\")),this.offscreenCanvas.width=e.width,this.offscreenCanvas.height=e.height,this.offscreenCanvasContext.drawImage(e,0,0,e.width,e.height);var r=this.offscreenCanvasContext.getImageData(-1,-1,e.width+2,e.height+2);return this.offscreenCanvasContext.clearRect(0,0,this.offscreenCanvas.width,this.offscreenCanvas.height),new t.RGBAImage({width:r.width,height:r.height},r.data)},c.prototype.removeTile=function(t){var e=this.loaded,r=t.uid;e&&e[r]&&delete e[r]};var f=function t(e,r){var n,i=e&&e.type;if(\"FeatureCollection\"===i)for(n=0;n=0!=!!e&&t.reverse()}var d=t.vectorTile.VectorTileFeature.prototype.toGeoJSON,v=function(e){this._feature=e,this.extent=t.EXTENT,this.type=e.type,this.properties=e.tags,\"id\"in e&&!isNaN(e.id)&&(this.id=parseInt(e.id,10))};v.prototype.loadGeometry=function(){if(1===this._feature.type){for(var e=[],r=0,n=this._feature.geometry;r>31}function P(t,e){for(var r=t.loadGeometry(),n=t.type,i=0,a=0,o=r.length,s=0;s>1;D(t,e,o,n,i,a%2),I(t,e,r,n,o-1,a+1),I(t,e,r,o+1,i,a+1)}}function D(t,e,r,n,i,a){for(;i>n;){if(i-n>600){var o=i-n+1,s=r-n+1,l=Math.log(o),u=.5*Math.exp(2*l/3),c=.5*Math.sqrt(l*u*(o-u)/o)*(s-o/2<0?-1:1);D(t,e,r,Math.max(n,Math.floor(r-s*u/o+c)),Math.min(i,Math.floor(r+(o-s)*u/o+c)),a)}var f=e[2*r+a],h=n,p=i;for(z(t,e,n,r),e[2*i+a]>f&&z(t,e,n,i);hf;)p--}e[2*n+a]===f?z(t,e,n,p):z(t,e,++p,i),p<=r&&(n=p+1),r<=p&&(i=p-1)}}function z(t,e,r,n){R(t,r,n),R(e,2*r,2*n),R(e,2*r+1,2*n+1)}function R(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}function F(t,e,r,n){var i=t-r,a=e-n;return i*i+a*a}_.fromVectorTileJs=w,_.fromGeojsonVt=T,_.GeoJSONWrapper=k;var B=function(t){return t[0]},N=function(t){return t[1]},j=function(t,e,r,n,i){void 0===e&&(e=B),void 0===r&&(r=N),void 0===n&&(n=64),void 0===i&&(i=Float64Array),this.nodeSize=n,this.points=t;for(var a=t.length<65536?Uint16Array:Uint32Array,o=this.ids=new a(t.length),s=this.coords=new i(2*t.length),l=0;l=r&&s<=i&&l>=n&&l<=a&&c.push(t[d]);else{var v=Math.floor((p+h)/2);s=e[2*v],l=e[2*v+1],s>=r&&s<=i&&l>=n&&l<=a&&c.push(t[v]);var g=(f+1)%2;(0===f?r<=s:n<=l)&&(u.push(p),u.push(v-1),u.push(g)),(0===f?i>=s:a>=l)&&(u.push(v+1),u.push(h),u.push(g))}}return c}(this.ids,this.coords,t,e,r,n,this.nodeSize)},j.prototype.within=function(t,e,r){return function(t,e,r,n,i,a){for(var o=[0,t.length-1,0],s=[],l=i*i;o.length;){var u=o.pop(),c=o.pop(),f=o.pop();if(c-f<=a)for(var h=f;h<=c;h++)F(e[2*h],e[2*h+1],r,n)<=l&&s.push(t[h]);else{var p=Math.floor((f+c)/2),d=e[2*p],v=e[2*p+1];F(d,v,r,n)<=l&&s.push(t[p]);var g=(u+1)%2;(0===u?r-i<=d:n-i<=v)&&(o.push(f),o.push(p-1),o.push(g)),(0===u?r+i>=d:n+i>=v)&&(o.push(p+1),o.push(c),o.push(g))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var U={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},V=function(t){this.options=X(Object.create(U),t),this.trees=new Array(this.options.maxZoom+1)};function H(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function q(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function G(t){return{type:\"Feature\",id:t.id,properties:Z(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function Z(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return X(X({},t.properties),{cluster:!0,cluster_id:t.id,point_count:e,point_count_abbreviated:r})}function Y(t){return t/360+.5}function W(t){var e=Math.sin(t*Math.PI/180),r=.5-.25*Math.log((1+e)/(1-e))/Math.PI;return r<0?0:r>1?1:r}function X(t,e){for(var r in e)t[r]=e[r];return t}function J(t){return t.x}function K(t){return t.y}function $(t,e,r,n){for(var i,a=n,o=r-e>>1,s=r-e,l=t[e],u=t[e+1],c=t[r],f=t[r+1],h=e+3;ha)i=h,a=p;else if(p===a){var d=Math.abs(h-o);dn&&(i-e>3&&$(t,e,i,n),t[i+2]=a,r-i>3&&$(t,i,r,n))}function Q(t,e,r,n,i,a){var o=i-r,s=a-n;if(0!==o||0!==s){var l=((t-r)*o+(e-n)*s)/(o*o+s*s);l>1?(r=i,n=a):l>0&&(r+=o*l,n+=s*l)}return(o=t-r)*o+(s=e-n)*s}function tt(t,e,r,n){var i={id:void 0===t?null:t,type:e,geometry:r,tags:n,minX:1/0,minY:1/0,maxX:-1/0,maxY:-1/0};return function(t){var e=t.geometry,r=t.type;if(\"Point\"===r||\"MultiPoint\"===r||\"LineString\"===r)et(t,e);else if(\"Polygon\"===r||\"MultiLineString\"===r)for(var n=0;n0&&(o+=n?(i*u-l*a)/2:Math.sqrt(Math.pow(l-i,2)+Math.pow(u-a,2))),i=l,a=u}var c=e.length-3;e[2]=1,$(e,0,c,r),e[c+2]=1,e.size=Math.abs(o),e.start=0,e.end=e.size}function at(t,e,r,n){for(var i=0;i1?1:r}function lt(t,e,r,n,i,a,o,s){if(n/=e,a>=(r/=e)&&o=n)return null;for(var l=[],u=0;u=r&&d=n)){var v=[];if(\"Point\"===h||\"MultiPoint\"===h)ut(f,v,r,n,i);else if(\"LineString\"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ht(f,v,r,n,i,!1);else if(\"Polygon\"===h)ht(f,v,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function ct(t,e,r,n,i,a,o){for(var s,l,u=ft(t),c=0===i?dt:vt,f=t.start,h=0;hr&&(l=c(u,p,d,g,y,r),o&&(u.start=f+s*l)):m>n?x=r&&(l=c(u,p,d,g,y,r),b=!0),x>n&&m<=n&&(l=c(u,p,d,g,y,n),b=!0),!a&&b&&(o&&(u.end=f+s*l),e.push(u),u=ft(t)),o&&(f+=s)}var _=t.length-3;p=t[_],d=t[_+1],v=t[_+2],(m=0===i?p:d)>=r&&m<=n&&pt(u,p,d,v),_=u.length-3,a&&_>=3&&(u[_]!==u[0]||u[_+1]!==u[1])&&pt(u,u[0],u[1],u[2]),u.length&&e.push(u)}function ft(t){var e=[];return e.size=t.size,e.start=t.start,e.end=t.end,e}function ht(t,e,r,n,i,a){for(var o=0;oo.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;lo)&&(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;n0===e)for(n=0,i=t.length;n24)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=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,J,K,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),W(a),Y(i),W(n));c1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=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=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o=n&&e.x=i&&e.y0&&(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+10&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;or.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];tthis.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(Dt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);fthis._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(na.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;yMath.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.yn.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var D=0,z=v;D0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;yo*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r=1;P--)C.push(E.path[P]);for(var O=1;O0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.xM.x||F.yM.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=z;N=this.screenRightBoundary||nthis.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t=0&&e0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,z,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(m){var T=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.y:0)}}},g=0;gt},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function De(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var ze=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;nt.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s=0;d--){var v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id] 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}kr.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Mr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Ir=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Br=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Nr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},jr=function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}};var Ur=function(e,r,n){var i=e.transform;return{u_matrix:Zr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Vr=function(e,r,n){return t.extend(Ur(e,r,n),{u_image:0})},Hr=function(e,r,n,i){var a=e.transform,o=Gr(r,a);return{u_matrix:Zr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},qr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Gr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Ur(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Gr(t,e){return 1/ge(t,1,e.tileZoom)}function Zr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Wr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Wr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var Xr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},$r=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Qr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},tn=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},en={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function rn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Ir(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P0){var s=t.browser.now(),l=(s-e.timeAdded)/o,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var vn=new t.Color(1,0,0,1),gn=new t.Color(0,1,0,1),yn=new t.Color(0,0,1,1),mn=new t.Color(1,0,1,1),xn=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;_n(t,t.transform.height-(e.top||0),3,vn),_n(t,e.bottom||0,3,gn),wn(t,e.left||0,3,yn),wn(t,t.transform.width-(e.right||0),3,mn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;Tn(t,e-a/2,r-i/2,a,i,n),Tn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,xn)}function _n(t,e,r,n){Tn(t,0,e+r/2,t.transform.width,r,n)}function wn(t,e,r,n){Tn(t,e-r/2,0,r,t.transform.height,n)}function Tn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function kn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,zr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var An={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Mn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=c[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer0?e.pop():null},Mn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Mn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new kr(this.context,wr[t],e,en[t],this._showOverdrawInspector)),this.cache[r]},Mn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Mn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Mn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Mn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var Sn=function(t,e){this.points=t,this.planes=e};Sn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new Sn(a,o)};var En=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};En.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;fthis.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Cn=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};Cn.prototype.clone=function(){var t=new Cn(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Pn.zoom.get=function(){return this._zoom},Pn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Cn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Cn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Cn.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},Cn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Cn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&re.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=Sn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new En([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Cn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},Cn.prototype.zoomScale=function(t){return Math.pow(2,t)},Cn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Cn.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},Cn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},Cn.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},Cn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Cn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Cn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Cn.prototype.coordinateLocation=function(t){return t.toLngLat()},Cn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Cn.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},Cn.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},Cn.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},Cn.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},Cn.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},Cn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Cn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-ao&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-ml&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Cn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Cn.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},Cn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Cn.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},On.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var In={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},In),zn=t.extend({deceleration:20,maxSpeed:1400},In),Rn=t.extend({deceleration:1e3,maxSpeed:360},In),Fn=t.extend({deceleration:1e3,maxSpeed:90},In),Bn=function(t){this._map=t,this.clear()};function Nn(t,e){(!t.duration||t.duration0&&r-e[0].time>160;)e.shift()},Bn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n=this._clickTolerance||this._map.fire(new Un(t.type,this._map,t))},qn.prototype.dblclick=function(t){return this._firePreventable(new Un(t.type,this._map,t))},qn.prototype.mouseover=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.mouseout=function(t){this._map.fire(new Un(t.type,this._map,t))},qn.prototype.touchstart=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},qn.prototype.touchmove=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchend=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype.touchcancel=function(t){this._map.fire(new Vn(t.type,this._map,t))},qn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},qn.prototype.isEnabled=function(){return!0},qn.prototype.isActive=function(){return!1},qn.prototype.enable=function(){},qn.prototype.disable=function(){};var Gn=function(t){this._map=t};Gn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Gn.prototype.mousemove=function(t){this._map.fire(new Un(t.type,this._map,t))},Gn.prototype.mousedown=function(){this._delayContextMenu=!0},Gn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Un(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Gn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Un(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;nthis.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n30)&&(this.aborted=!0)}}},Wn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var Xn=function(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()};Xn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Xn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Xn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Xn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Xn({numTouches:1,numTaps:2}),this._zoomOut=new Xn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Kn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Kn.prototype._correctButton=function(t,e){return!1},Kn.prototype._move=function(t,e){return{}},Kn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Kn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(sMath.abs(t.x)}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,li(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return li(t)&&li(e)&&a}},e}(ri),ci={panStep:100,bearingStep:15,pitchStep:10},fi=function(){var t=ci;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function hi(t){return t*(2-t)}fi.prototype.reset=function(){this._active=!1},fi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:hi,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var pi=4.000244140625,di=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};di.prototype.setZoomRate=function(t){this._defaultZoomRate=t},di.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},di.prototype.isEnabled=function(){return!!this._enabled},di.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},di.prototype.isZooming=function(){return!!this._zooming},di.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},di.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},di.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%pi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},di.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},di.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},di.prototype.renderFrame=function(){return this._onScrollFrame()},di.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>pi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},di.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},di.prototype.reset=function(){this._active=!1};var vi=function(t,e){this._clickZoom=t,this._tapZoom=e};vi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},vi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},vi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},vi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var gi=function(){this.reset()};gi.prototype.reset=function(){this._active=!1},gi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},gi.prototype.enable=function(){this._enabled=!0},gi.prototype.disable=function(){this._enabled=!1,this.reset()},gi.prototype.isEnabled=function(){return this._enabled},gi.prototype.isActive=function(){return this._active};var yi=function(){this._tap=new Xn({numTouches:1,numTaps:1}),this.reset()};yi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},yi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},yi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},yi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},yi.prototype.touchcancel=function(){this.reset()},yi.prototype.enable=function(){this._enabled=!0},yi.prototype.disable=function(){this._enabled=!1,this.reset()},yi.prototype.isEnabled=function(){return this._enabled},yi.prototype.isActive=function(){return this._active};var mi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};mi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},mi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},mi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},mi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var xi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};xi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},xi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},xi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},xi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var bi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};bi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},bi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},bi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},bi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},bi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var _i=function(t){return t.zoom||t.drag||t.pitch||t.rotate},wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ti(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var ki=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Bn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;aa?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=Te.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*D,d=1/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)180?-360:r<-180?360:0}},r}(t.Evented),Mi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Mi.prototype.getDefaultPosition=function(){return\"bottom-right\"},Mi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Mi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Mi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Mi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var Si=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Si.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Si.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Si.prototype.getDefaultPosition=function(){return\"bottom-left\"},Si.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Si.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t)if(t[e].getSource().mapbox_logo)return!0;return!1}},Si.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var Ei=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ei.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ei.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;re.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Ii)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Cn(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Ei,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Li,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Pi))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new ki(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new On(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Mi({customAttribution:e.customAttribution})),this.addControl(new Si,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()Ii)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Un(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Un(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Un(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ni.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ni.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ni.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ni.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ni.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ni.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ni.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ni.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ni.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)e.getEast()||r.latitudee.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Yi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new qi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new qi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Zi--,Yi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Zi>1?(e={maximumAge:6e5,timeout:0},Yi=!0):(e=this.options.positionOptions,Yi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Xi={maxWidth:100,unit:\"metric\"},Ji=function(e){this.options=t.extend({},Xi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Ki(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?$i(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):$i(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?$i(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?$i(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):$i(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function $i(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\" \"+n}Ji.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ji.prototype._onMove=function(){Ki(this._map,this._container,this.options)},Ji.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl 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this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Qi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Qi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Qi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Qi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Qi.prototype._isFullscreen=function(){return this._fullscreen},Qi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Qi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ta={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},ea=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ta),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"×\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=ji(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=ra(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.ythis._map.transform.height-u?[\"bottom\"]:[],i.xthis._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,Ui[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Vi(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function ra(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return ra(new t.Point(0,0))}var na={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:zi,NavigationControl:Bi,GeolocateControl:Wi,AttributionControl:Mi,ScaleControl:Ji,FullscreenControl:Qi,Popup:ea,Marker:qi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. 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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;r19||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 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n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thalāthā’\",\"Yawm al-Arba‘ā’\",\"Yawm al-Khamīs\",\"Yawm al-Jum‘a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;ar)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;ne);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,u=e-o[r-1]+1;return this.newDate(s,l,u)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=r(56131);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var 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","text/html":"
"},"metadata":{},"output_type":"display_data"}],"source":"import plotly.graph_objs as go\n\n# Calculate the confusion matrix\nconf_matrix = confusion_matrix(y_true, y_pred)\n\n# Create a DataFrame from the confusion matrix\nconf_matrix_df = pd.DataFrame(\n conf_matrix,\n columns = ['Benign', 'Attack'],\n index = ['Benign', 'Attack']\n)\n\n# Create an empty list to store annotations\nannotations = []\n\n# Define a threshold for text color\nthresh = conf_matrix_df.values.max() / 2\n\n# Loop through the confusion matrix and add annotations with text color based on the threshold\nfor i in range(len(conf_matrix_df)):\n for j in range(len(conf_matrix_df)):\n value = conf_matrix_df.iloc[i, j]\n text_color = \"white\" if value > thresh else \"black\"\n annotations.append(\n go.layout.Annotation(\n x = j,\n y = i,\n text = str(value),\n font = dict(color = text_color),\n showarrow = False,\n )\n )\n\n# Create a heatmap trace with showscale set to False\ntrace = go.Heatmap(\n z = conf_matrix_df.values,\n x = ['Benign', 'Attack'],\n y = ['Benign', 'Attack'],\n colorscale = 'Reds',\n showscale = False\n)\n\n# Create the figure with heatmap and annotations\nfig = go.Figure(\n data = [trace],\n layout = {\n \"title\": \"Confusion Matrix\",\n \"xaxis\": {\"title\": \"Predicted\", \"scaleanchor\": \"y\", \"scaleratio\": 1},\n \"yaxis\": {\"title\": \"Actual\"},\n \"annotations\": annotations,\n \"height\": 400,\n \"width\": 400\n }\n)\n\nfig.show()"},{"cell_type":"code","execution_count":39,"id":"abaddb79-c9ea-4331-968e-98cd540f034b","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:44:51.128673Z","iopub.status.busy":"2023-10-04T15:44:51.128457Z","iopub.status.idle":"2023-10-04T15:44:51.135317Z","shell.execute_reply":"2023-10-04T15:44:51.134678Z","shell.execute_reply.started":"2023-10-04T15:44:51.128653Z"},"language":"python","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"Confusion Matrix:\nBenign (Actual) -> Benign (Predicted): 1633\nBenign (Actual) -> Attack (Predicted): 5\nAttack (Actual) -> Benign (Predicted): 75\nAttack (Actual) -> Attack (Predicted): 287\n"}],"source":"# Create confusion matrix\nconf_matrix = confusion_matrix(y_true, y_pred)\n\n# Define class labels\nclass_labels = ['Benign', 'Attack']\n\n# Print confusion matrix with labels\nprint(\"Confusion Matrix:\")\nfor i in range(len(class_labels)):\n for j in range(len(class_labels)):\n print(f\"{class_labels[i]} (Actual) -> {class_labels[j]} (Predicted): {conf_matrix[i][j]}\")"},{"cell_type":"markdown","id":"a212b279-edce-4b3b-ad82-3b4933b1b10f","metadata":{"language":"python"},"source":"### Accuracy"},{"cell_type":"code","execution_count":40,"id":"bdb00bdc-4264-4ee5-b953-fed3c7317dd6","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:45:07.771340Z","iopub.status.busy":"2023-10-04T15:45:07.771044Z","iopub.status.idle":"2023-10-04T15:45:07.783637Z","shell.execute_reply":"2023-10-04T15:45:07.783111Z","shell.execute_reply.started":"2023-10-04T15:45:07.771323Z"},"language":"python","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"Accuracy: 0.960\nPrecision: 0.983\nRecall: 0.793\n"}],"source":"# Calculate accuracy\nacc = accuracy_score(y_true, y_pred, normalize = True, sample_weight = None)\nprecision = precision_score(y_true, y_pred)\nrecall = recall_score(y_true, y_pred)\n\nprint(f\"Accuracy: {acc:.3f}\")\nprint(f\"Precision: {precision:.3f}\")\nprint(f\"Recall: {recall:.3f}\")"},{"cell_type":"markdown","id":"30a06f84-7d9c-48d2-9b59-5d0aafb9b328","metadata":{"language":"python"},"source":"### Per Class Accuracy"},{"cell_type":"code","execution_count":42,"id":"46f58998-e5ce-4c31-9612-25669254e98c","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:45:15.565738Z","iopub.status.busy":"2023-10-04T15:45:15.565539Z","iopub.status.idle":"2023-10-04T15:45:15.574517Z","shell.execute_reply":"2023-10-04T15:45:15.573983Z","shell.execute_reply.started":"2023-10-04T15:45:15.565723Z"},"language":"python","trusted":true},"outputs":[{"data":{"text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
typeaccuracy
0Benign1.00
1Attack0.79
\n
","text/plain":" type accuracy\n0 Benign 1.00\n1 Attack 0.79"},"metadata":{},"output_type":"display_data"}],"source":"# Calculate per class accuracy\ncmd = confusion_matrix(y_true, y_pred, normalize = \"true\").diagonal()\nper_class_accuracy_df = pd.DataFrame([(index, round(value,4)) for index, value in zip(['Benign', 'Attack'], cmd)], columns = ['type', 'accuracy'])\nper_class_accuracy_df = per_class_accuracy_df.round(2)\ndisplay(per_class_accuracy_df)"},{"cell_type":"markdown","id":"18da66d1-fa5f-4c0a-913f-915fc49c9411","metadata":{"language":"python"},"source":"## Predict Values Directly from Model\n\nWe achieved excellent results with SingleStoreDB. Now, let's explore what happens when we bypass the similarity search step and make predictions directly from the model. In other words, we'll utilize the model responsible for generating the embeddings as a classifier. We can then compare the accuracy of this approach with that of the similarity search method."},{"cell_type":"code","execution_count":43,"id":"1ae8e5cb-c0fe-46e1-950f-3274644d869d","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:45:23.411073Z","iopub.status.busy":"2023-10-04T15:45:23.410802Z","iopub.status.idle":"2023-10-04T15:45:24.327503Z","shell.execute_reply":"2023-10-04T15:45:24.327028Z","shell.execute_reply.started":"2023-10-04T15:45:23.411055Z"},"language":"python","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"63/63 [==============================] - 0s 869us/step\n"}],"source":"from tensorflow.keras.utils import normalize\nimport numpy as np\n\ndata_sample = normalize(data_22_cleaned.iloc[:, :-1])[-2000:]\ny_pred_model = model.predict(normalize(data_sample)).flatten()\ny_pred_model = np.round(y_pred_model)"},{"cell_type":"markdown","id":"23953237-8c81-4fe3-bead-aacbcc994c05","metadata":{"language":"python"},"source":"## Visualize Results\n\n### Confusion 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","text/html":"
"},"metadata":{},"output_type":"display_data"}],"source":"# Create confusion matrix\nconf_matrix = confusion_matrix(y_true, y_pred_model)\n\n# Create a DataFrame from the confusion matrix\nconf_matrix_df = pd.DataFrame(\n conf_matrix,\n columns = ['Benign', 'Attack'],\n index = ['Benign', 'Attack']\n)\n\n# Create an empty list to store annotations\nannotations = []\n\n# Define a threshold for text color\nthresh = conf_matrix_df.values.max() / 2\n\n# Loop through the confusion matrix and add annotations with text color based on the threshold\nfor i in range(len(conf_matrix_df)):\n for j in range(len(conf_matrix_df)):\n value = conf_matrix_df.iloc[i, j]\n text_color = \"white\" if value > thresh else \"black\"\n annotations.append(\n go.layout.Annotation(\n x = j,\n y = i,\n text = str(value),\n font = dict(color=text_color),\n showarrow = False,\n )\n )\n\n# Create a heatmap trace with showscale set to False\ntrace = go.Heatmap(\n z = conf_matrix_df.values,\n x = ['Benign', 'Attack'],\n y = ['Benign', 'Attack'],\n colorscale = 'Reds',\n showscale = False\n)\n\n# Create the figure with heatmap and annotations\nfig = go.Figure(\n data = [trace],\n layout = {\n \"title\": \"Confusion Matrix\",\n \"xaxis\": {\"title\": \"Predicted\", \"scaleanchor\": \"y\", \"scaleratio\": 1},\n \"yaxis\": {\"title\": \"Actual\"},\n \"annotations\": annotations,\n \"height\": 400,\n \"width\": 400\n }\n)\n\nfig.show()"},{"cell_type":"code","execution_count":45,"id":"c9621933-9b22-4536-bf7a-6c1c78c4ac4d","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:45:36.827671Z","iopub.status.busy":"2023-10-04T15:45:36.827383Z","iopub.status.idle":"2023-10-04T15:45:36.834072Z","shell.execute_reply":"2023-10-04T15:45:36.833474Z","shell.execute_reply.started":"2023-10-04T15:45:36.827653Z"},"language":"python","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"Confusion Matrix:\nBenign (Actual) -> Benign (Predicted): 1638\nBenign (Actual) -> Attack (Predicted): 0\nAttack (Actual) -> Benign (Predicted): 258\nAttack (Actual) -> Attack (Predicted): 104\n"}],"source":"# Create confusion matrix\nconf_matrix = confusion_matrix(y_true, y_pred_model)\n\n# Define class labels\nclass_labels = ['Benign', 'Attack']\n\n# Print confusion matrix with labels\nprint(\"Confusion Matrix:\")\nfor i in range(len(class_labels)):\n for j in range(len(class_labels)):\n print(f\"{class_labels[i]} (Actual) -> {class_labels[j]} (Predicted): {conf_matrix[i][j]}\")"},{"cell_type":"markdown","id":"7168534e-77c1-440f-b55a-7fad84af37aa","metadata":{"language":"python"},"source":"### Accuracy"},{"cell_type":"code","execution_count":46,"id":"9ad16de3-2eb6-4ae3-b269-76c1f131fe63","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:45:42.382264Z","iopub.status.busy":"2023-10-04T15:45:42.382020Z","iopub.status.idle":"2023-10-04T15:45:42.393023Z","shell.execute_reply":"2023-10-04T15:45:42.392509Z","shell.execute_reply.started":"2023-10-04T15:45:42.382248Z"},"language":"python","trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":"Accuracy: 0.871\nPrecision: 1.000\nRecall: 0.287\n"}],"source":"# Calculate accuracy\nacc = accuracy_score(y_true, y_pred_model, normalize = True, sample_weight = None)\nprecision = precision_score(y_true, y_pred_model)\nrecall = recall_score(y_true, y_pred_model)\n\nprint(f\"Accuracy: {acc:.3f}\")\nprint(f\"Precision: {precision:.3f}\")\nprint(f\"Recall: {recall:.3f}\")"},{"cell_type":"markdown","id":"b80e72e5-814c-4533-9685-b126a0b481e7","metadata":{"language":"python"},"source":"### Per Class Accuracy"},{"cell_type":"code","execution_count":47,"id":"bc88066d-df3b-48be-9ff6-246587e6630c","metadata":{"execution":{"iopub.execute_input":"2023-10-04T15:45:49.034077Z","iopub.status.busy":"2023-10-04T15:45:49.033804Z","iopub.status.idle":"2023-10-04T15:45:49.043624Z","shell.execute_reply":"2023-10-04T15:45:49.043172Z","shell.execute_reply.started":"2023-10-04T15:45:49.034059Z"},"language":"python","trusted":true},"outputs":[{"data":{"text/html":"
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
typeaccuracy
0Benign1.00
1Attack0.29
\n
","text/plain":" type accuracy\n0 Benign 1.00\n1 Attack 0.29"},"metadata":{},"output_type":"display_data"}],"source":"# Calculate per class accuracy\ncmd = confusion_matrix(y_true, y_pred_model, normalize = \"true\").diagonal()\nper_class_accuracy_df = pd.DataFrame([(index, round(value,4)) for index, value in zip(['Benign', 'Attack'], cmd)], columns = ['type', 'accuracy'])\nper_class_accuracy_df = per_class_accuracy_df.round(2)\ndisplay(per_class_accuracy_df)"},{"cell_type":"markdown","id":"5455ba06-f2ba-4e2e-9494-c65ab2d9d96c","metadata":{"language":"python"},"source":"# Conclusions\n\nUtilizing SingleStoreDB's vector embeddings, we achieved an extremely high detection rate for attacks while maintaining a very small false-positive rate. Furthermore, our example showed that our similarity search methodology surpassed the direct classification approach that relies on the classifier's embedding model."}],"metadata":{"kernelspec":{"display_name":"Python 3 (ipykernel)","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.4"},"singlestore_connection":{"connectionID":"a98658e6-5e5d-4be9-be2e-9fa993172504","defaultDatabase":"siem_log_kafka_demo"},"singlestore_row_limit":300},"nbformat":4,"nbformat_minor":5} \ No newline at end of file +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d62916d4-c174-4708-92b1-b6940fa5a861", + "metadata": {}, + "source": [ + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + "
SingleStore Notebooks
\n", + "

IT Threat Detection, Part 2

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\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "59521b37-8c16-4713-b341-dcf4d020ef88", + "metadata": {}, + "source": [ + "## Install Dependencies" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "c649045f-0a53-4c49-88cb-0351e872d68c", + "metadata": {}, + "outputs": [], + "source": [ + "!pip3 install tensorflow keras scikit-learn pandas --upgrade --quiet" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f3bb35f9-67ea-4a23-b713-888746494baf", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n", + "\n", + "import pandas as pd\n", + "import tensorflow.keras.backend as K\n", + "from collections import Counter\n", + "from sklearn.metrics import accuracy_score, precision_score, recall_score\n", + "from sklearn.metrics import confusion_matrix\n", + "from tensorflow import keras\n", + "from tensorflow.keras.models import Model" + ] + }, + { + "cell_type": "markdown", + "id": "7f949377-d93b-43d3-b9e1-2fb910f843fd", + "metadata": {}, + "source": [ + "We'll define a Python context manager called `clear_memory()` using the **contextlib** module. This context manager will be used to clear memory by running Python's garbage collector (`gc.collect()`) after a block of code is executed." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "00eccb20-5b95-4383-88c4-2dff1b494a1f", + "metadata": {}, + "outputs": [], + "source": [ + "import contextlib\n", + "import gc\n", + "\n", + "@contextlib.contextmanager\n", + "def clear_memory():\n", + " try:\n", + " yield\n", + " finally:\n", + " gc.collect()" + ] + }, + { + "cell_type": "markdown", + "id": "b06e5a33-bf7f-41ea-85fd-1b13871c40e9", + "metadata": {}, + "source": [ + "## Load Model" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7c77cf96-e3f7-4bed-9f7e-913f851367d8", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " model = keras.models.load_model('it_threat_model')\n", + "\n", + "model.summary()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ed66c137-1023-4dce-b9ea-5e742099302e", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " # Select the first layer\n", + " layer_name = 'dense'\n", + " intermediate_layer_model = Model(\n", + " inputs = model.input,\n", + " outputs = model.get_layer(layer_name).output\n", + " )" + ] + }, + { + "cell_type": "markdown", + "id": "f3756497-a5a8-453a-9257-13ac0122a6ff", + "metadata": {}, + "source": [ + "## Data Preparation\n", + "\n", + "We'll use the second file we downloaded earlier for testing purposes.\n", + "\n", + "### Review Data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bc2325d6-a298-4916-bf33-7416b3b4ab25", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " data = pd.read_csv('Thursday-22-02-2018_TrafficForML_CICFlowMeter.csv')\n", + "\n", + "data.Label.value_counts()" + ] + }, + { + "cell_type": "markdown", + "id": "3c515eb7-1e06-4be3-993b-cc4483cb7bf6", + "metadata": {}, + "source": [ + "### Clean Data\n", + "\n", + "We'll run a cleanup script from the previously downloaded GitHub repo." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "73e53251-5fd9-4fbd-856e-2bbc560a2924", + "metadata": {}, + "outputs": [], + "source": [ + "!python DeepLearning-IDS/data_cleanup.py \"Thursday-22-02-2018_TrafficForML_CICFlowMeter.csv\" \"result22022018\"" + ] + }, + { + "cell_type": "markdown", + "id": "67c1125c-bb62-40b8-b885-d5d9187b5f81", + "metadata": {}, + "source": [ + "We'll now review the cleaned data from the previous step." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "326a320a-9388-4108-a0f0-10520d25c2a4", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " data_22_cleaned = pd.read_csv('result22022018.csv')\n", + "\n", + "data_22_cleaned.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "66a13b5c-07b2-413b-9b77-ce490fa8507b", + "metadata": {}, + "outputs": [], + "source": [ + "data_22_cleaned.Label.value_counts()" + ] + }, + { + "cell_type": "markdown", + "id": "df41d065-924e-4de5-834c-967846688e13", + "metadata": {}, + "source": [ + "We'll create a sample that encompasses all the distinct types of web attacks observed on this particular date." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "9f669747-2c58-4113-a099-070c5a08a492", + "metadata": {}, + "outputs": [], + "source": [ + "with clear_memory():\n", + " data_sample = data_22_cleaned[-2000:]\n", + "\n", + "data_sample.Label.value_counts()" + ] + }, + { + "cell_type": "markdown", + "id": "722010dd-2a2e-41a8-848f-bad78d0fa79f", + "metadata": {}, + "source": [ + "## Get Connection Details\n", + "\n", + "
\n", + " \n", + "
\n", + "

Action Required

\n", + "

Select the database from the drop-down menu at the top of this notebook. It updates the connection_url which is used by SQLAlchemy to make connections to the selected database.

\n", + "
\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "806149fa-bba9-42fd-b804-3b5964bceca5", + "metadata": {}, + "outputs": [], + "source": [ + "from sqlalchemy import *\n", + "\n", + "db_connection = create_engine(connection_url)" + ] + }, + { + "cell_type": "markdown", + "id": "0f5e79af-3991-45e1-845e-a24390437d56", + "metadata": {}, + "source": [ + "## Queries\n", + "\n", + "Next, we'll perform queries on the test dataset and store the predicted and expected results, enabling us to construct a confusion matrix." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ddcd73cd-0d87-4aaf-82be-5d7bd0e73566", + "metadata": {}, + "outputs": [], + "source": [ + "from tqdm import tqdm\n", + "import numpy as np\n", + "\n", + "y_true = []\n", + "y_pred = []\n", + "\n", + "BATCH_SIZE = 100\n", + "\n", + "for i in tqdm(range(0, len(data_sample), BATCH_SIZE)):\n", + " test_data = data_sample.iloc[i:i+BATCH_SIZE, :]\n", + "\n", + " # Create vector embedding using the model\n", + " test_vector = intermediate_layer_model.predict(K.constant(test_data.iloc[:, :-1]))\n", + " query_results = []\n", + "\n", + " for xq in test_vector.tolist():\n", + " # SQL query here, make sure it returns 'id' column\n", + " query_res = %sql SELECT id, EUCLIDEAN_DISTANCE(Model_Results, JSON_ARRAY_PACK('{{xq}}')) AS score FROM model_results WHERE score IS NOT NULL ORDER BY score ASC LIMIT 50;\n", + " query_results.append(pd.DataFrame(query_res))\n", + "\n", + " for label, res in zip(test_data.Label.values, query_results):\n", + "\n", + " if 'id' not in res.columns:\n", + " print(\"Column 'id' not found in res.\")\n", + " continue\n", + "\n", + " if label == 'Benign':\n", + " y_true.append(0)\n", + " else:\n", + " y_true.append(1)\n", + "\n", + " ids_to_count = [id.split('_')[0] for id in res['id']]\n", + " counter = Counter(ids_to_count)\n", + " print(counter)\n", + "\n", + " if counter.get('Bru') or counter.get('SQL'):\n", + " y_pred.append(1)\n", + " else:\n", + " y_pred.append(0)" + ] + }, + { + "cell_type": "markdown", + "id": "62a3faef-773d-48ed-82c7-63dca0e31e07", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "### Confusion Matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "28dde466-1dcc-4b5f-98a4-4e3ce31cf12c", + "metadata": {}, + "outputs": [], + "source": [ + "import plotly.graph_objs as go\n", + "\n", + "# Calculate the confusion matrix\n", + "conf_matrix = confusion_matrix(y_true, y_pred)\n", + "\n", + "# Create a DataFrame from the confusion matrix\n", + "conf_matrix_df = pd.DataFrame(\n", + " conf_matrix,\n", + " columns = ['Benign', 'Attack'],\n", + " index = ['Benign', 'Attack']\n", + ")\n", + "\n", + "# Create an empty list to store annotations\n", + "annotations = []\n", + "\n", + "# Define a threshold for text color\n", + "thresh = conf_matrix_df.values.max() / 2\n", + "\n", + "# Loop through the confusion matrix and add annotations with text color based on the threshold\n", + "for i in range(len(conf_matrix_df)):\n", + " for j in range(len(conf_matrix_df)):\n", + " value = conf_matrix_df.iloc[i, j]\n", + " text_color = \"white\" if value > thresh else \"black\"\n", + " annotations.append(\n", + " go.layout.Annotation(\n", + " x = j,\n", + " y = i,\n", + " text = str(value),\n", + " font = dict(color = text_color),\n", + " showarrow = False,\n", + " )\n", + " )\n", + "\n", + "# Create a heatmap trace with showscale set to False\n", + "trace = go.Heatmap(\n", + " z = conf_matrix_df.values,\n", + " x = ['Benign', 'Attack'],\n", + " y = ['Benign', 'Attack'],\n", + " colorscale = 'Reds',\n", + " showscale = False\n", + ")\n", + "\n", + "# Create the figure with heatmap and annotations\n", + "fig = go.Figure(\n", + " data = [trace],\n", + " layout = {\n", + " \"title\": \"Confusion Matrix\",\n", + " \"xaxis\": {\"title\": \"Predicted\", \"scaleanchor\": \"y\", \"scaleratio\": 1},\n", + " \"yaxis\": {\"title\": \"Actual\"},\n", + " \"annotations\": annotations,\n", + " \"height\": 400,\n", + " \"width\": 400\n", + " }\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "abaddb79-c9ea-4331-968e-98cd540f034b", + "metadata": {}, + "outputs": [], + "source": [ + "# Create confusion matrix\n", + "conf_matrix = confusion_matrix(y_true, y_pred)\n", + "\n", + "# Define class labels\n", + "class_labels = ['Benign', 'Attack']\n", + "\n", + "# Print confusion matrix with labels\n", + "print(\"Confusion Matrix:\")\n", + "for i in range(len(class_labels)):\n", + " for j in range(len(class_labels)):\n", + " print(f\"{class_labels[i]} (Actual) -> {class_labels[j]} (Predicted): {conf_matrix[i][j]}\")" + ] + }, + { + "cell_type": "markdown", + "id": "a212b279-edce-4b3b-ad82-3b4933b1b10f", + "metadata": {}, + "source": [ + "### Accuracy" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "bdb00bdc-4264-4ee5-b953-fed3c7317dd6", + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate accuracy\n", + "acc = accuracy_score(y_true, y_pred, normalize = True, sample_weight = None)\n", + "precision = precision_score(y_true, y_pred)\n", + "recall = recall_score(y_true, y_pred)\n", + "\n", + "print(f\"Accuracy: {acc:.3f}\")\n", + "print(f\"Precision: {precision:.3f}\")\n", + "print(f\"Recall: {recall:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "30a06f84-7d9c-48d2-9b59-5d0aafb9b328", + "metadata": {}, + "source": [ + "### Per Class Accuracy" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "46f58998-e5ce-4c31-9612-25669254e98c", + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate per class accuracy\n", + "cmd = confusion_matrix(y_true, y_pred, normalize = \"true\").diagonal()\n", + "per_class_accuracy_df = pd.DataFrame([(index, round(value,4)) for index, value in zip(['Benign', 'Attack'], cmd)], columns = ['type', 'accuracy'])\n", + "per_class_accuracy_df = per_class_accuracy_df.round(2)\n", + "display(per_class_accuracy_df)" + ] + }, + { + "cell_type": "markdown", + "id": "18da66d1-fa5f-4c0a-913f-915fc49c9411", + "metadata": {}, + "source": [ + "## Predict Values Directly from Model\n", + "\n", + "We achieved excellent results with SingleStoreDB. Now, let's explore what happens when we bypass the similarity search step and make predictions directly from the model. In other words, we'll utilize the model responsible for generating the embeddings as a classifier. We can then compare the accuracy of this approach with that of the similarity search method." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "1ae8e5cb-c0fe-46e1-950f-3274644d869d", + "metadata": {}, + "outputs": [], + "source": [ + "from tensorflow.keras.utils import normalize\n", + "import numpy as np\n", + "\n", + "data_sample = normalize(data_22_cleaned.iloc[:, :-1])[-2000:]\n", + "y_pred_model = model.predict(normalize(data_sample)).flatten()\n", + "y_pred_model = np.round(y_pred_model)" + ] + }, + { + "cell_type": "markdown", + "id": "23953237-8c81-4fe3-bead-aacbcc994c05", + "metadata": {}, + "source": [ + "## Visualize Results\n", + "\n", + "### Confusion Matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "ce2b6188-5fab-4ee8-ad0b-8e10f11215fe", + "metadata": {}, + "outputs": [], + "source": [ + "# Create confusion matrix\n", + "conf_matrix = confusion_matrix(y_true, y_pred_model)\n", + "\n", + "# Create a DataFrame from the confusion matrix\n", + "conf_matrix_df = pd.DataFrame(\n", + " conf_matrix,\n", + " columns = ['Benign', 'Attack'],\n", + " index = ['Benign', 'Attack']\n", + ")\n", + "\n", + "# Create an empty list to store annotations\n", + "annotations = []\n", + "\n", + "# Define a threshold for text color\n", + "thresh = conf_matrix_df.values.max() / 2\n", + "\n", + "# Loop through the confusion matrix and add annotations with text color based on the threshold\n", + "for i in range(len(conf_matrix_df)):\n", + " for j in range(len(conf_matrix_df)):\n", + " value = conf_matrix_df.iloc[i, j]\n", + " text_color = \"white\" if value > thresh else \"black\"\n", + " annotations.append(\n", + " go.layout.Annotation(\n", + " x = j,\n", + " y = i,\n", + " text = str(value),\n", + " font = dict(color=text_color),\n", + " showarrow = False,\n", + " )\n", + " )\n", + "\n", + "# Create a heatmap trace with showscale set to False\n", + "trace = go.Heatmap(\n", + " z = conf_matrix_df.values,\n", + " x = ['Benign', 'Attack'],\n", + " y = ['Benign', 'Attack'],\n", + " colorscale = 'Reds',\n", + " showscale = False\n", + ")\n", + "\n", + "# Create the figure with heatmap and annotations\n", + "fig = go.Figure(\n", + " data = [trace],\n", + " layout = {\n", + " \"title\": \"Confusion Matrix\",\n", + " \"xaxis\": {\"title\": \"Predicted\", \"scaleanchor\": \"y\", \"scaleratio\": 1},\n", + " \"yaxis\": {\"title\": \"Actual\"},\n", + " \"annotations\": annotations,\n", + " \"height\": 400,\n", + " \"width\": 400\n", + " }\n", + ")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "c9621933-9b22-4536-bf7a-6c1c78c4ac4d", + "metadata": {}, + "outputs": [], + "source": [ + "# Create confusion matrix\n", + "conf_matrix = confusion_matrix(y_true, y_pred_model)\n", + "\n", + "# Define class labels\n", + "class_labels = ['Benign', 'Attack']\n", + "\n", + "# Print confusion matrix with labels\n", + "print(\"Confusion Matrix:\")\n", + "for i in range(len(class_labels)):\n", + " for j in range(len(class_labels)):\n", + " print(f\"{class_labels[i]} (Actual) -> {class_labels[j]} (Predicted): {conf_matrix[i][j]}\")" + ] + }, + { + "cell_type": "markdown", + "id": "7168534e-77c1-440f-b55a-7fad84af37aa", + "metadata": {}, + "source": [ + "### Accuracy" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "9ad16de3-2eb6-4ae3-b269-76c1f131fe63", + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate accuracy\n", + "acc = accuracy_score(y_true, y_pred_model, normalize = True, sample_weight = None)\n", + "precision = precision_score(y_true, y_pred_model)\n", + "recall = recall_score(y_true, y_pred_model)\n", + "\n", + "print(f\"Accuracy: {acc:.3f}\")\n", + "print(f\"Precision: {precision:.3f}\")\n", + "print(f\"Recall: {recall:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "b80e72e5-814c-4533-9685-b126a0b481e7", + "metadata": {}, + "source": [ + "### Per Class Accuracy" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "bc88066d-df3b-48be-9ff6-246587e6630c", + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate per class accuracy\n", + "cmd = confusion_matrix(y_true, y_pred_model, normalize = \"true\").diagonal()\n", + "per_class_accuracy_df = pd.DataFrame([(index, round(value,4)) for index, value in zip(['Benign', 'Attack'], cmd)], columns = ['type', 'accuracy'])\n", + "per_class_accuracy_df = per_class_accuracy_df.round(2)\n", + "display(per_class_accuracy_df)" + ] + }, + { + "cell_type": "markdown", + "id": "5455ba06-f2ba-4e2e-9494-c65ab2d9d96c", + "metadata": {}, + "source": [ + "# Conclusions\n", + "\n", + "Utilizing SingleStoreDB's vector embeddings, we achieved an extremely high detection rate for attacks while maintaining a very small false-positive rate. Furthermore, our example showed that our similarity search methodology surpassed the direct classification approach that relies on the classifier's embedding model." + ] + }, + { + "cell_type": "markdown", + "id": "9f7e1cd9-615c-40cf-ac02-de9b51f0fa24", + "metadata": {}, + "source": [ + "
\n", + "
" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/network-intrusion-detection-part-3/meta.toml b/notebooks/network-intrusion-detection-part-3/meta.toml index ec11fa1..23f8e02 100644 --- a/notebooks/network-intrusion-detection-part-3/meta.toml +++ b/notebooks/network-intrusion-detection-part-3/meta.toml @@ -1,6 +1,9 @@ [meta] -title="Part 3 or Real-time threat Detection - Integrate with Kafka, run and visualize Threat Detection on incoming logs. -This notebook requires adjustments to work out of the box." +title="IT Threat Detection, Part 3" +description=""" + Part 3 or Real-time threat Detection - Integrate with Kafka, run + and visualize Threat Detection on incoming logs. + This notebook requires adjustments to work out of the box.""" icon="browser" tags=["iot", "cybersecurity", "training", "vectordb", "kafka", "pipeline", "realtime"] -destinations=["spaces"] \ No newline at end of file +destinations=["spaces"] diff --git a/notebooks/network-intrusion-detection-part-3/notebook.ipynb b/notebooks/network-intrusion-detection-part-3/notebook.ipynb index d550aeb..d9ee899 100644 --- a/notebooks/network-intrusion-detection-part-3/notebook.ipynb +++ b/notebooks/network-intrusion-detection-part-3/notebook.ipynb @@ -1 +1,443 @@ -{"cells":[{"cell_type":"markdown","id":"37793ab8-641c-4596-9e5b-445dd92ba229","metadata":{"language":"python"},"source":["
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SingleStore Notebooks
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IT Threat Detection, Part 3

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"]},{"cell_type":"markdown","id":"184309fb-7eef-4ae2-bb10-dd431eba6811","metadata":{"language":"python"},"source":["
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Get pipeline data from Confluent (Kafka)

\n","
\n","
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"}},"cell_type":"markdown","id":"996738fc-01ab-4d72-8acd-a96f2862c476","metadata":{"language":"python"},"source":["![Kafka_SingleStore.png](attachment:e89ae78c-5f57-46a6-82d2-b38fb4b926f5.png)"]},{"cell_type":"markdown","id":"f6100d05-d796-452b-893c-8e9240d9a3f9","metadata":{"language":"python"},"source":["We start creating a simple table to load the logs into a JSON column"]},{"cell_type":"code","execution_count":325,"id":"89c133a9-1765-4f61-a9bb-fce74f4a7c0a","metadata":{"execution":{"iopub.execute_input":"2023-09-29T05:21:33.825700Z","iopub.status.busy":"2023-09-29T05:21:33.825334Z","iopub.status.idle":"2023-09-29T05:21:33.861359Z","shell.execute_reply":"2023-09-29T05:21:33.860889Z","shell.execute_reply.started":"2023-09-29T05:21:33.825680Z"},"language":"sql","trusted":true},"outputs":[{"data":{"text/plain":[]},"execution_count":325,"metadata":{},"output_type":"execute_result"}],"source":["%%sql\n","drop PIPELINE `siem_log_real`;\n","drop table `siem_log_real`;"]},{"cell_type":"code","execution_count":326,"id":"f09a053e-3082-422a-af8a-3cc81846b172","metadata":{"execution":{"iopub.execute_input":"2023-09-29T05:21:35.566329Z","iopub.status.busy":"2023-09-29T05:21:35.566082Z","iopub.status.idle":"2023-09-29T05:21:35.655301Z","shell.execute_reply":"2023-09-29T05:21:35.654731Z","shell.execute_reply.started":"2023-09-29T05:21:35.566312Z"},"language":"sql","trusted":true},"outputs":[{"data":{"text/plain":[]},"execution_count":326,"metadata":{},"output_type":"execute_result"}],"source":["%%sql\n","CREATE TABLE `siem_log_real` (\n"," `logs` JSON COLLATE utf8_bin\n"," , SHARD KEY () \n",") AUTOSTATS_CARDINALITY_MODE=PERIODIC AUTOSTATS_HISTOGRAM_MODE=CREATE SQL_MODE='STRICT_ALL_TABLES';"]},{"cell_type":"markdown","id":"0f9e5c48-ed62-4354-a311-90672862fcae","metadata":{"language":"python"},"source":["We create a pipeline from the Confluent Cluster with an interval of 20ms"]},{"cell_type":"code","execution_count":327,"id":"2022c2aa-4b29-41b3-894f-1a2e40311ed2","metadata":{"execution":{"iopub.execute_input":"2023-09-29T05:21:37.894987Z","iopub.status.busy":"2023-09-29T05:21:37.894573Z","iopub.status.idle":"2023-09-29T05:21:38.197432Z","shell.execute_reply":"2023-09-29T05:21:38.196849Z","shell.execute_reply.started":"2023-09-29T05:21:37.894968Z"},"language":"sql","trusted":true},"outputs":[{"data":{"text/plain":[]},"execution_count":327,"metadata":{},"output_type":"execute_result"}],"source":["%%sql\n","CREATE PIPELINE `siem_log_real`\n","AS LOAD DATA KAFKA 'pkc-XXX.us-east-1.aws.confluent.cloud:9092/connections_siem_logs'\n","CONFIG '{\\\"sasl.username\\\": \\\"YOURKEY\\\",\\n \\\"sasl.mechanism\\\": \\\"PLAIN\\\",\\n \\\"security.protocol\\\": \\\"SASL_SSL\\\",\\n \\\"ssl.ca.location\\\": \\\"/etc/pki/ca-trust/extracted/pem/tls-ca-bundle.pem\\\"}'\n","CREDENTIALS '{\"sasl.password\": \"YOURPASSWORD\"}'\n","BATCH_INTERVAL 20\n","DISABLE OFFSETS METADATA GC\n","INTO TABLE `siem_log_real`\n","FIELDS TERMINATED BY '\\t' ENCLOSED BY '' ESCAPED BY '\\\\'\n","LINES TERMINATED BY '\\n' STARTING BY '';"]},{"cell_type":"markdown","id":"a8511976-97ba-4bc0-8dca-0b41cd6e0c84","metadata":{"language":"python"},"source":["Let's start the pipeline"]},{"cell_type":"code","execution_count":328,"id":"042af566-8b5d-47e1-9626-81c2aad6b4a0","metadata":{"execution":{"iopub.execute_input":"2023-09-29T05:21:40.145374Z","iopub.status.busy":"2023-09-29T05:21:40.145009Z","iopub.status.idle":"2023-09-29T05:21:40.160868Z","shell.execute_reply":"2023-09-29T05:21:40.160427Z","shell.execute_reply.started":"2023-09-29T05:21:40.145355Z"},"language":"sql","trusted":true},"outputs":[{"data":{"text/plain":[]},"execution_count":328,"metadata":{},"output_type":"execute_result"}],"source":["%%sql\n","Start pipeline siem_log_real;"]},{"cell_type":"markdown","id":"5a414b17-23a0-465a-81b0-3a62e7f1f4c3","metadata":{"language":"python"},"source":["We extract a few elements from the JSON column such as timestamp, Log_ID, and the vector to be stored in a blob format. Data is extracted as soon as an update is made to the table"]},{"cell_type":"code","execution_count":329,"id":"5d687011-86ab-4acf-9f5e-863284c23793","metadata":{"execution":{"iopub.execute_input":"2023-09-29T05:21:41.691122Z","iopub.status.busy":"2023-09-29T05:21:41.690871Z","iopub.status.idle":"2023-09-29T05:21:44.125391Z","shell.execute_reply":"2023-09-29T05:21:44.124789Z","shell.execute_reply.started":"2023-09-29T05:21:41.691105Z"},"language":"sql","trusted":true},"outputs":[{"data":{"text/plain":[]},"execution_count":329,"metadata":{},"output_type":"execute_result"}],"source":["%%sql\n","ALTER TABLE siem_log_real\n","ADD COLUMN Timestamp as JSON_EXTRACT_STRING(`logs`,'Timestamp') PERSISTED datetime,\n","ADD COLUMN model_res_blob AS JSON_ARRAY_PACK_F32(JSON_EXTRACT_STRING(`logs`, 'model_res')) PERSISTED BLOB,\n","ADD COLUMN Log_ID AS JSON_EXTRACT_BIGINT(`logs`, 'Log_ID') PERSISTED bigint;"]},{"cell_type":"markdown","id":"fdfdaa2b-b3e3-46e0-8bc7-a697d03cb5c0","metadata":{"language":"python"},"source":[""]},{"cell_type":"code","execution_count":331,"id":"7e6d493e-5fd8-47d5-a040-b3c5a629c6d2","metadata":{"execution":{"iopub.execute_input":"2023-09-29T05:21:47.029915Z","iopub.status.busy":"2023-09-29T05:21:47.029639Z","iopub.status.idle":"2023-09-29T05:21:51.602313Z","shell.execute_reply":"2023-09-29T05:21:51.601419Z","shell.execute_reply.started":"2023-09-29T05:21:47.029899Z"},"language":"python","tags":[],"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Note: you may need to restart the kernel to use updated packages.\n"]}],"source":["pip install perspective-python --quiet"]},{"cell_type":"code","execution_count":24,"id":"b4f823ea-8a41-458e-b19c-f65a59a928f7","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:51:45.182704Z","iopub.status.busy":"2023-09-29T16:51:45.182342Z","iopub.status.idle":"2023-09-29T16:51:45.314283Z","shell.execute_reply":"2023-09-29T16:51:45.313787Z","shell.execute_reply.started":"2023-09-29T16:51:45.182687Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":["import perspective\n","import threading\n","import random\n","import time\n","from datetime import datetime, date\n","from perspective import Table, PerspectiveWidget\n","import warnings\n","warnings.filterwarnings('ignore')"]},{"cell_type":"markdown","id":"0bc126ab-971e-4acd-8d93-3507636b6605","metadata":{"language":"python"},"source":["We will set dashboard with a refresh rate of 500ms. We use two modes: stop and run to stop a dashboard retrieving results from the database."]},{"cell_type":"code","execution_count":25,"id":"f866ec95-0c9f-4771-aaee-5e86a05e1939","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:51:47.242323Z","iopub.status.busy":"2023-09-29T16:51:47.241966Z","iopub.status.idle":"2023-09-29T16:51:47.245199Z","shell.execute_reply":"2023-09-29T16:51:47.244659Z","shell.execute_reply.started":"2023-09-29T16:51:47.242304Z"},"language":"python","trusted":true},"outputs":[],"source":["def loop():\n"," while mode != 'stop':\n"," while mode == 'run':\n"," table.update(data_source())\n"," time.sleep(0.5)"]},{"cell_type":"markdown","id":"c65ef6c4-3a1e-48d3-8cf7-b54619fd6e84","metadata":{},"source":["
\n","
\n","

Track Real-Time Connections

\n","
\n","
"]},{"cell_type":"code","execution_count":41,"id":"4d3f67ff-3143-4f55-b371-52898af7aeda","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:53:57.642472Z","iopub.status.busy":"2023-09-29T16:53:57.642225Z","iopub.status.idle":"2023-09-29T16:53:57.646067Z","shell.execute_reply":"2023-09-29T16:53:57.645452Z","shell.execute_reply.started":"2023-09-29T16:53:57.642455Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":["def data_source():\n"," result = %sql select Timestamp, count(*) as count_connections from siem_log_real group by Timestamp order by Timestamp desc limit 100\n"," result2 = list(result.dicts()) \n"," return result2\n","\n","SCHEMA = {\n"," \"Timestamp\": datetime,\n"," \"count_connections\": int\n","}"]},{"cell_type":"code","execution_count":42,"id":"f27cd500-8e90-475a-b991-ecb371212721","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:53:58.941558Z","iopub.status.busy":"2023-09-29T16:53:58.941315Z","iopub.status.idle":"2023-09-29T16:53:58.945510Z","shell.execute_reply":"2023-09-29T16:53:58.944992Z","shell.execute_reply.started":"2023-09-29T16:53:58.941542Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":["mode = 'run'\n","table = perspective.Table(SCHEMA, limit=100)\n","threading.Thread(target=loop).start()"]},{"cell_type":"code","execution_count":43,"id":"77dc7166-9037-483b-8578-d4fd6626af71","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:54:00.422175Z","iopub.status.busy":"2023-09-29T16:54:00.421929Z","iopub.status.idle":"2023-09-29T16:54:00.427761Z","shell.execute_reply":"2023-09-29T16:54:00.427217Z","shell.execute_reply.started":"2023-09-29T16:54:00.422160Z"},"language":"python","trusted":true},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"a6a7a3bfd54749898031c313c161f196","version_major":2,"version_minor":0},"text/plain":["PerspectiveWidget(columns=['count_connections'], group_by=['Timestamp'], plugin='Y Line', theme=None, title='T…"]},"execution_count":43,"metadata":{},"output_type":"execute_result"}],"source":["perspective.PerspectiveWidget(table,title = \"Track Real-Time Connections\", group_by=[\"Timestamp\"],plugin=\"Y Line\",columns=[\"count_connections\"])"]},{"cell_type":"code","execution_count":47,"id":"40296099-a5cf-40b5-8295-b097fd94d630","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:54:15.683496Z","iopub.status.busy":"2023-09-29T16:54:15.683241Z","iopub.status.idle":"2023-09-29T16:54:15.686173Z","shell.execute_reply":"2023-09-29T16:54:15.685515Z","shell.execute_reply.started":"2023-09-29T16:54:15.683460Z"},"language":"python","trusted":true},"outputs":[],"source":["mode = 'stop'"]},{"cell_type":"markdown","id":"2282842a-918c-4937-a602-d2edc41b3825","metadata":{"language":"python"},"source":["
\n","
\n","

Monitor and Infer IT Threats using Semantic Search over Real-Time Data

\n","
\n","
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"}},"cell_type":"markdown","id":"9414c751-1c61-4c01-aa55-f5a6e064df7a","metadata":{"language":"python"},"source":["![Semantic_searches.png](attachment:09fb8fd5-67f5-47d9-9904-a782e51df5dc.png)"]},{"cell_type":"code","execution_count":49,"id":"755d7238-4fe9-4119-ad4b-d4fc2f5bf4b6","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:54:41.934459Z","iopub.status.busy":"2023-09-29T16:54:41.934195Z","iopub.status.idle":"2023-09-29T16:54:41.938678Z","shell.execute_reply":"2023-09-29T16:54:41.938082Z","shell.execute_reply.started":"2023-09-29T16:54:41.934442Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":["def data_source():\n"," result = %sql WITH test_sql AS (SELECT Log_ID, TIMESTAMP, id, EUCLIDEAN_DISTANCE(model_res_blob, Model_Results) AS score,ROW_NUMBER() OVER(PARTITION BY Log_ID ORDER BY EUCLIDEAN_DISTANCE(model_res_blob, Model_Results) ASC) AS rn FROM (SELECT TIMESTAMP, Log_ID, model_res_blob FROM siem_log_real ORDER BY TIMESTAMP DESC LIMIT 20) CROSS JOIN model_results where score IS NOT NULL),label_table AS (SELECT Log_ID, TIMESTAMP,MAX(CASE WHEN id LIKE 'Bru%' OR id LIKE 'SQL%' THEN 'Malicious' ELSE 'Benign' END) as log_status FROM test_sql WHERE rn <= 100 GROUP BY Log_ID,TIMESTAMP order by TIMESTAMP DESC) SELECT log_status, count(Log_ID) as count_connections FROM label_table group by log_status;\n"," result2 = list(result.dicts()) \n"," return result2\n","\n","SCHEMA = {\n"," \"log_status\": str,\n"," \"count_connections\": int\n","}"]},{"cell_type":"code","execution_count":50,"id":"8ea8b1cf-50ec-48c5-94fe-f19977e81f93","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:54:43.997332Z","iopub.status.busy":"2023-09-29T16:54:43.997087Z","iopub.status.idle":"2023-09-29T16:54:44.001199Z","shell.execute_reply":"2023-09-29T16:54:44.000541Z","shell.execute_reply.started":"2023-09-29T16:54:43.997317Z"},"language":"python","tags":[],"trusted":true},"outputs":[],"source":["mode = 'run'\n","table = perspective.Table(SCHEMA, limit=100)\n","threading.Thread(target=loop).start()"]},{"cell_type":"code","execution_count":51,"id":"70d45c26-a29e-4fdb-a42c-fb5bd35e2836","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:54:45.639183Z","iopub.status.busy":"2023-09-29T16:54:45.638827Z","iopub.status.idle":"2023-09-29T16:54:45.647740Z","shell.execute_reply":"2023-09-29T16:54:45.647226Z","shell.execute_reply.started":"2023-09-29T16:54:45.639166Z"},"language":"python","scrolled":true,"tags":[],"trusted":true},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"bc6a6f6104724dd6b54964e822a95f92","version_major":2,"version_minor":0},"text/plain":["PerspectiveWidget(columns=['count_connections'], plugin='Y Line', split_by=['log_status'], theme=None, title='…"]},"execution_count":51,"metadata":{},"output_type":"execute_result"}],"source":["perspective.PerspectiveWidget(table,title = \"Monitor Threat Inference\", split_by=[\"log_status\"],plugin=\"Y Line\",columns=[\"count_connections\"])"]},{"cell_type":"code","execution_count":54,"id":"948fa4fb-a55e-4e52-a843-d0dadf47448e","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:55:21.992552Z","iopub.status.busy":"2023-09-29T16:55:21.992288Z","iopub.status.idle":"2023-09-29T16:55:21.995199Z","shell.execute_reply":"2023-09-29T16:55:21.994624Z","shell.execute_reply.started":"2023-09-29T16:55:21.992537Z"},"language":"python","trusted":true},"outputs":[],"source":["mode = 'stop'"]},{"cell_type":"markdown","id":"96a3c621-f5b1-4236-832d-514979b45cef","metadata":{},"source":["
\n","
\n","

Track latest connections with Inferences Threat Inference by Log IDs

\n","
\n","
"]},{"cell_type":"code","execution_count":55,"id":"3d846312-3c0f-47c1-ba13-88b83a20ed7d","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:55:23.393317Z","iopub.status.busy":"2023-09-29T16:55:23.393002Z","iopub.status.idle":"2023-09-29T16:55:23.400967Z","shell.execute_reply":"2023-09-29T16:55:23.400432Z","shell.execute_reply.started":"2023-09-29T16:55:23.393296Z"},"language":"python","trusted":true},"outputs":[],"source":["def data_source():\n"," result = %sql WITH test_sql AS (SELECT Log_ID, TIMESTAMP, id, EUCLIDEAN_DISTANCE(model_res_blob, Model_Results) AS score,ROW_NUMBER() OVER(PARTITION BY Log_ID ORDER BY EUCLIDEAN_DISTANCE(model_res_blob, Model_Results) ASC) AS rn FROM (SELECT TIMESTAMP, Log_ID, model_res_blob FROM siem_log_real ORDER BY TIMESTAMP DESC LIMIT 20) CROSS JOIN model_results where score IS NOT NULL),label_table AS (SELECT Log_ID, TIMESTAMP,MAX(CASE WHEN id LIKE 'Bru%' OR id LIKE 'SQL%' THEN 'Malicious' ELSE 'Benign' END) as log_status FROM test_sql WHERE rn <= 100 GROUP BY Log_ID,TIMESTAMP order by TIMESTAMP DESC) SELECT * FROM label_table;\n"," result2 = list(result.dicts()) \n"," return result2\n","\n","SCHEMA = {\n"," \"Log_ID\": str,\n"," \"TIMESTAMP\": datetime,\n"," \"log_status\": str\n","}"]},{"cell_type":"code","execution_count":56,"id":"a79aa8f9-c4e1-4c4e-a5ec-e1ef5e6b0299","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:55:26.339869Z","iopub.status.busy":"2023-09-29T16:55:26.339576Z","iopub.status.idle":"2023-09-29T16:55:26.348657Z","shell.execute_reply":"2023-09-29T16:55:26.345240Z","shell.execute_reply.started":"2023-09-29T16:55:26.339847Z"},"language":"python","trusted":true},"outputs":[],"source":["mode = 'run'\n","table = perspective.Table(SCHEMA, limit=20)\n","threading.Thread(target=loop).start()"]},{"cell_type":"code","execution_count":57,"id":"3e6db8bb-f609-4e1f-8b5a-5ffd6567e210","metadata":{"execution":{"iopub.execute_input":"2023-09-29T16:55:27.668331Z","iopub.status.busy":"2023-09-29T16:55:27.668086Z","iopub.status.idle":"2023-09-29T16:55:27.673301Z","shell.execute_reply":"2023-09-29T16:55:27.672734Z","shell.execute_reply.started":"2023-09-29T16:55:27.668316Z"},"language":"python","trusted":true},"outputs":[{"data":{"application/vnd.jupyter.widget-view+json":{"model_id":"663eda02158840c395774ebe90049ddb","version_major":2,"version_minor":0},"text/plain":["PerspectiveWidget(columns=['count_attack'], group_by=['TIMESTAMP'], theme=None, title='Latest Connections')"]},"execution_count":57,"metadata":{},"output_type":"execute_result"}],"source":["perspective.PerspectiveWidget(table,title = \"Latest Connections\", group_by=[\"TIMESTAMP\"],plugin=\"Datagrid\",columns=[\"count_attack\"])"]},{"cell_type":"code","execution_count":377,"id":"e86ad97f-83e2-432c-ac9e-80e0cd1d95c1","metadata":{"execution":{"iopub.execute_input":"2023-09-29T05:26:04.350064Z","iopub.status.busy":"2023-09-29T05:26:04.349808Z","iopub.status.idle":"2023-09-29T05:26:04.352614Z","shell.execute_reply":"2023-09-29T05:26:04.352064Z","shell.execute_reply.started":"2023-09-29T05:26:04.350047Z"},"language":"python","trusted":true},"outputs":[],"source":["mode = 'stop'"]},{"cell_type":"code","execution_count":null,"id":"de5e6255-f29f-4154-8044-4e174ed881b9","metadata":{"language":"python","trusted":true},"outputs":[],"source":[]}],"metadata":{"kernelspec":{"display_name":"Python 3.11.3 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.11.3"},"singlestore_connection":{"connectionID":"59147d7e-ecaa-43cb-8427-fdaf1d83643f","defaultDatabase":""},"singlestore_row_limit":300,"vscode":{"interpreter":{"hash":"b0fa6594d8f4cbf19f97940f81e996739fb7646882a419484c72d19e05852a7e"}}},"nbformat":4,"nbformat_minor":5} +{ + "cells": [ + { + "cell_type": "markdown", + "id": "37793ab8-641c-4596-9e5b-445dd92ba229", + "metadata": {}, + "source": [ + "
\n", + "
\n", + " \n", + "
\n", + "
\n", + "
SingleStore Notebooks
\n", + "

IT Threat Detection, Part 3

\n", + "
\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "184309fb-7eef-4ae2-bb10-dd431eba6811", + "metadata": {}, + "source": [ + "
\n", + "
\n", + "

Get pipeline data from Confluent (Kafka)

\n", + "
\n", + "
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" + } + }, + "cell_type": "markdown", + "id": "996738fc-01ab-4d72-8acd-a96f2862c476", + "metadata": {}, + "source": [ + "![Kafka_SingleStore.png](attachment:e89ae78c-5f57-46a6-82d2-b38fb4b926f5.png)" + ] + }, + { + "cell_type": "markdown", + "id": "f6100d05-d796-452b-893c-8e9240d9a3f9", + "metadata": {}, + "source": [ + "We start creating a simple table to load the logs into a JSON column" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "89c133a9-1765-4f61-a9bb-fce74f4a7c0a", + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "drop PIPELINE `siem_log_real`;\n", + "drop table `siem_log_real`;" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f09a053e-3082-422a-af8a-3cc81846b172", + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "CREATE TABLE `siem_log_real` (\n", + " `logs` JSON COLLATE utf8_bin\n", + " , SHARD KEY ()\n", + ") AUTOSTATS_CARDINALITY_MODE=PERIODIC AUTOSTATS_HISTOGRAM_MODE=CREATE SQL_MODE='STRICT_ALL_TABLES';" + ] + }, + { + "cell_type": "markdown", + "id": "0f9e5c48-ed62-4354-a311-90672862fcae", + "metadata": {}, + "source": [ + "We create a pipeline from the Confluent Cluster with an interval of 20ms" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2022c2aa-4b29-41b3-894f-1a2e40311ed2", + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "CREATE PIPELINE `siem_log_real`\n", + "AS LOAD DATA KAFKA 'pkc-XXX.us-east-1.aws.confluent.cloud:9092/connections_siem_logs'\n", + "CONFIG '{\\\"sasl.username\\\": \\\"YOURKEY\\\",\\n \\\"sasl.mechanism\\\": \\\"PLAIN\\\",\\n \\\"security.protocol\\\": \\\"SASL_SSL\\\",\\n \\\"ssl.ca.location\\\": \\\"/etc/pki/ca-trust/extracted/pem/tls-ca-bundle.pem\\\"}'\n", + "CREDENTIALS '{\"sasl.password\": \"YOURPASSWORD\"}'\n", + "BATCH_INTERVAL 20\n", + "DISABLE OFFSETS METADATA GC\n", + "INTO TABLE `siem_log_real`\n", + "FIELDS TERMINATED BY '\\t' ENCLOSED BY '' ESCAPED BY '\\\\'\n", + "LINES TERMINATED BY '\\n' STARTING BY '';" + ] + }, + { + "cell_type": "markdown", + "id": "a8511976-97ba-4bc0-8dca-0b41cd6e0c84", + "metadata": {}, + "source": [ + "Let's start the pipeline" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "042af566-8b5d-47e1-9626-81c2aad6b4a0", + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "Start pipeline siem_log_real;" + ] + }, + { + "cell_type": "markdown", + "id": "5a414b17-23a0-465a-81b0-3a62e7f1f4c3", + "metadata": {}, + "source": [ + "We extract a few elements from the JSON column such as timestamp, Log_ID, and the vector to be stored in a blob format. Data is extracted as soon as an update is made to the table" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "5d687011-86ab-4acf-9f5e-863284c23793", + "metadata": {}, + "outputs": [], + "source": [ + "%%sql\n", + "ALTER TABLE siem_log_real\n", + "ADD COLUMN Timestamp as JSON_EXTRACT_STRING(`logs`,'Timestamp') PERSISTED datetime,\n", + "ADD COLUMN model_res_blob AS JSON_ARRAY_PACK_F32(JSON_EXTRACT_STRING(`logs`, 'model_res')) PERSISTED BLOB,\n", + "ADD COLUMN Log_ID AS JSON_EXTRACT_BIGINT(`logs`, 'Log_ID') PERSISTED bigint;" + ] + }, + { + "cell_type": "markdown", + "id": "fdfdaa2b-b3e3-46e0-8bc7-a697d03cb5c0", + "metadata": {}, + "source": [ + "
\n", + "
\n", + "

Install libraries for real-time dashboarding with Perspective

\n", + "
\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7e6d493e-5fd8-47d5-a040-b3c5a629c6d2", + "metadata": {}, + "outputs": [], + "source": [ + "pip install perspective-python --quiet" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b4f823ea-8a41-458e-b19c-f65a59a928f7", + "metadata": {}, + "outputs": [], + "source": [ + "import perspective\n", + "import threading\n", + "import random\n", + "import time\n", + "from datetime import datetime, date\n", + "from perspective import Table, PerspectiveWidget\n", + "import warnings\n", + "warnings.filterwarnings('ignore')" + ] + }, + { + "cell_type": "markdown", + "id": "0bc126ab-971e-4acd-8d93-3507636b6605", + "metadata": {}, + "source": [ + "We will set dashboard with a refresh rate of 500ms. We use two modes: stop and run to stop a dashboard retrieving results from the database." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f866ec95-0c9f-4771-aaee-5e86a05e1939", + "metadata": {}, + "outputs": [], + "source": [ + "def loop():\n", + " while mode != 'stop':\n", + " while mode == 'run':\n", + " table.update(data_source())\n", + " time.sleep(0.5)" + ] + }, + { + "cell_type": "markdown", + "id": "c65ef6c4-3a1e-48d3-8cf7-b54619fd6e84", + "metadata": {}, + "source": [ + "
\n", + "
\n", + "

Track Real-Time Connections

\n", + "
\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "4d3f67ff-3143-4f55-b371-52898af7aeda", + "metadata": {}, + "outputs": [], + "source": [ + "def data_source():\n", + " result = %sql select Timestamp, count(*) as count_connections from siem_log_real group by Timestamp order by Timestamp desc limit 100\n", + " result2 = list(result.dicts())\n", + " return result2\n", + "\n", + "SCHEMA = {\n", + " \"Timestamp\": datetime,\n", + " \"count_connections\": int\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f27cd500-8e90-475a-b991-ecb371212721", + "metadata": {}, + "outputs": [], + "source": [ + "mode = 'run'\n", + "table = perspective.Table(SCHEMA, limit=100)\n", + "threading.Thread(target=loop).start()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "77dc7166-9037-483b-8578-d4fd6626af71", + "metadata": {}, + "outputs": [], + "source": [ + "perspective.PerspectiveWidget(table,title = \"Track Real-Time Connections\", group_by=[\"Timestamp\"],plugin=\"Y Line\",columns=[\"count_connections\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "40296099-a5cf-40b5-8295-b097fd94d630", + "metadata": {}, + "outputs": [], + "source": [ + "mode = 'stop'" + ] + }, + { + "cell_type": "markdown", + "id": "2282842a-918c-4937-a602-d2edc41b3825", + "metadata": {}, + "source": [ + "
\n", + "
\n", + "

Monitor and Infer IT Threats using Semantic Search over Real-Time Data

\n", + "
\n", + "
" + ] + }, + { + "attachments": { + "09fb8fd5-67f5-47d9-9904-a782e51df5dc.png": { + "image/png": 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" + } + }, + "cell_type": "markdown", + "id": "9414c751-1c61-4c01-aa55-f5a6e064df7a", + "metadata": {}, + "source": [ + "![Semantic_searches.png](attachment:09fb8fd5-67f5-47d9-9904-a782e51df5dc.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "755d7238-4fe9-4119-ad4b-d4fc2f5bf4b6", + "metadata": {}, + "outputs": [], + "source": [ + "def data_source():\n", + " result = %sql WITH test_sql AS (SELECT Log_ID, TIMESTAMP, id, EUCLIDEAN_DISTANCE(model_res_blob, Model_Results) AS score,ROW_NUMBER() OVER(PARTITION BY Log_ID ORDER BY EUCLIDEAN_DISTANCE(model_res_blob, Model_Results) ASC) AS rn FROM (SELECT TIMESTAMP, Log_ID, model_res_blob FROM siem_log_real ORDER BY TIMESTAMP DESC LIMIT 20) CROSS JOIN model_results where score IS NOT NULL),label_table AS (SELECT Log_ID, TIMESTAMP,MAX(CASE WHEN id LIKE 'Bru%' OR id LIKE 'SQL%' THEN 'Malicious' ELSE 'Benign' END) as log_status FROM test_sql WHERE rn <= 100 GROUP BY Log_ID,TIMESTAMP order by TIMESTAMP DESC) SELECT log_status, count(Log_ID) as count_connections FROM label_table group by log_status;\n", + " result2 = list(result.dicts())\n", + " return result2\n", + "\n", + "SCHEMA = {\n", + " \"log_status\": str,\n", + " \"count_connections\": int\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "8ea8b1cf-50ec-48c5-94fe-f19977e81f93", + "metadata": {}, + "outputs": [], + "source": [ + "mode = 'run'\n", + "table = perspective.Table(SCHEMA, limit=100)\n", + "threading.Thread(target=loop).start()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "70d45c26-a29e-4fdb-a42c-fb5bd35e2836", + "metadata": {}, + "outputs": [], + "source": [ + "perspective.PerspectiveWidget(table,title = \"Monitor Threat Inference\", split_by=[\"log_status\"],plugin=\"Y Line\",columns=[\"count_connections\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "948fa4fb-a55e-4e52-a843-d0dadf47448e", + "metadata": {}, + "outputs": [], + "source": [ + "mode = 'stop'" + ] + }, + { + "cell_type": "markdown", + "id": "96a3c621-f5b1-4236-832d-514979b45cef", + "metadata": {}, + "source": [ + "
\n", + "
\n", + "

Track latest connections with Inferences Threat Inference by Log IDs

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" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "3d846312-3c0f-47c1-ba13-88b83a20ed7d", + "metadata": {}, + "outputs": [], + "source": [ + "def data_source():\n", + " result = %sql WITH test_sql AS (SELECT Log_ID, TIMESTAMP, id, EUCLIDEAN_DISTANCE(model_res_blob, Model_Results) AS score,ROW_NUMBER() OVER(PARTITION BY Log_ID ORDER BY EUCLIDEAN_DISTANCE(model_res_blob, Model_Results) ASC) AS rn FROM (SELECT TIMESTAMP, Log_ID, model_res_blob FROM siem_log_real ORDER BY TIMESTAMP DESC LIMIT 20) CROSS JOIN model_results where score IS NOT NULL),label_table AS (SELECT Log_ID, TIMESTAMP,MAX(CASE WHEN id LIKE 'Bru%' OR id LIKE 'SQL%' THEN 'Malicious' ELSE 'Benign' END) as log_status FROM test_sql WHERE rn <= 100 GROUP BY Log_ID,TIMESTAMP order by TIMESTAMP DESC) SELECT * FROM label_table;\n", + " result2 = list(result.dicts())\n", + " return result2\n", + "\n", + "SCHEMA = {\n", + " \"Log_ID\": str,\n", + " \"TIMESTAMP\": datetime,\n", + " \"log_status\": str\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "a79aa8f9-c4e1-4c4e-a5ec-e1ef5e6b0299", + "metadata": {}, + "outputs": [], + "source": [ + "mode = 'run'\n", + "table = perspective.Table(SCHEMA, limit=20)\n", + "threading.Thread(target=loop).start()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "3e6db8bb-f609-4e1f-8b5a-5ffd6567e210", + "metadata": {}, + "outputs": [], + "source": [ + "perspective.PerspectiveWidget(table,title = \"Latest Connections\", group_by=[\"TIMESTAMP\"],plugin=\"Datagrid\",columns=[\"count_attack\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "e86ad97f-83e2-432c-ac9e-80e0cd1d95c1", + "metadata": {}, + "outputs": [], + "source": [ + "mode = 'stop'" + ] + }, + { + "cell_type": "markdown", + "id": "d51d030e-8929-4cdf-a7f2-c74dd0635bd7", + "metadata": {}, + "source": [ + "
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