{
 "cells": [
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   "source": [
    "### INE 410146 - Applied Machine Learning\n",
    "$\\textbf{Author: Prof. Mateus Grellert}$\n",
    "\n",
    "Bibliographic references used in this lesson:\n",
    "- Han, Kamber, Data Mining: Concepts and Techniques, Chapter 2\n",
    "- Aggarwal, Charu C, Data Mining: The Textbook, Chapter 1\n",
    "- Skiene, Steven, The Data Science Design Manual, Chapter 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\", message=\"numpy.dtype size changed\")\n",
    "warnings.filterwarnings(\"ignore\", message=\"numpy.ufunc size changed\")\n",
    "warnings.filterwarnings(\"ignore\", message=\"MatplotlibDeprecationWarning\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2 - Getting to Know your Data\n",
    "\n",
    "In a world where data has is abundant, unclean, and commonly unstructured, it is important to devote some time to understand it before jumping into a machine learning pipeline. As we will learn throughout the course, no one model works best for every data set there is, so we need knowledge about our data to help us design an efficient solution to our problem.\n",
    "\n",
    "Performing an **exploratory data analysis** will allow us to confirm previous knowledge we had about the information we're dealing with, occasionally learn new things that will guide future decisions in our project, and foresee some problems that could affect our performance.\n",
    "\n",
    "In this lesson, we will learn some tools and techniques that can be used to assess, summarize, and visualize our data, but first we must understand some important concepts that are common in the machine learning study. This lesson is composed of the following topics:\n",
    "- Data Types\n",
    "- Descriptive Statistics\n",
    "- Visualization Techniques\n",
    "\n",
    "First, we will discuss a little bit about the data types that we will work with, then explain how we can analyze and visualize them depending on these types.\n",
    "\n",
    "We will heavily count on **Pandas** and its several used methods and data structures to help us in this course, so we recommend you to study the basics of this library if you can. Their website has a [quick guide](https://pandas.pydata.org/pandas-docs/version/1.3/user_guide/10min.html) to help you with the basics, and they also provide documentation for all the methods we're going to use. We also recommend you to learn about the ``DataFrame`` and ``Series`` data structures, as well as their common methods.\n",
    "\n",
    "The **Seaborn** library will also be used due to its several methods for data visualization. A [tutorial](https://seaborn.pydata.org/tutorial.html) can also be found on their webpage.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.1 - Data Types\n",
    "\n",
    "**Disclaimer:** like many other things in machine learning, there is no consensus on the best way to categorize the different types of data. Psychologist Stanley Smith Stevens proposed a typology in 1946 that is commonly adopted today, using four types (nominal, ordinal, interval and ratio). However, other categories are important for predictive modeling, like temporal or spatial dependency. Therefore, we will build upon a compiled version of recent literature references. The figure below shows an attempt to organize some of the concepts that will be discussed in the following paragraphs.\n",
    "\n",
    "![types of data](FIGS/2-types_of_data.png)\n",
    "\n",
    "In his Data Sciende Design Manual, Skiena first categorizes data as being ``structured`` or ``unstructured``.\n",
    "\n",
    "**Unstructured** data comprises the raw, unprocessed information that is collected from all types of heterogeneous sources, like web pages, text documents, vital signals etc. Unstructured data is usually unorganized and does not follow a format. A preprocessing phase is commonly employed to make this data usable in machine learning algorithms.\n",
    "\n",
    "**Structured** data, on the other hand, is well organized and usually well formatted. This data can be easily (in some cases directly( mapped to a set of features that can be used in the machine learning pipeline. However, this does not mean that no preprocessing is required. Structured data may also contain hazards like missing values, outliers, noisy information etc.\n",
    "\n",
    "Aggarwal, in his Data Mining book, adds the concepts of ``nondependency-oriented`` and ``dependency-oriented`` data.\n",
    "\n",
    "**Nondependency-oriented** represents data whose entries do not have an implicit or explicit relationship among them. For instance, if we interview several people in a randomized fashion, the answers of one interview will not affect the answers of another.\n",
    "\n",
    "In **dependency-oriented** data, however, there is an implicit or explicit relationship among neighboring entries. For instance, if a sensor is measuring the temperature of a room periodically, the value that is measured each instant is related to the previous values.\n",
    "\n",
    "For nondepency-oriented data, the attributes can be further categorized based on the values that they can assume, classified as ``numerical`` or ``categorical``. Knowing the correct type of each attribute is very important, because this will define the techniques and algorithms that can be used.\n",
    "\n",
    "**Categorical**, qualitative or discrete attributes, as the name suggests, represents variables whose values are limited to a specific, reduced set of categories. Some special types of categorical variables are binary (assume only two values), nominal (assume a set of values with no sense of order), and ordinal (order is important). Examples of categorical variables include: age group (nominal), season of the year, day of the week, size of a lump (ordinal), and all types of flag variables that represent the presence of an event (binary).\n",
    "\n",
    "**Numerical**, quantitative or continuous attributes are the variables that can assume several (even infinite) amount of values of an interval, represented as numbers. Numeric features can be interval-scaled, when there is no true zero and therefore comparisons are based on differences, or ratio-scaled, when there is a true zero, so comparisons in terms of ratio can be made. To exemplify the difference, let us consider the temperature measured in the Celsius scale. We cannot say that $10^oC$ is twice as warm as $5^oC$, because this scale does not have a true zero, i.e., $0^oC$ does not mean absence of temperature. If we consider the Kelvin scale, however, we will have a true zero at $0^oK$, so it is safe to say that $10^oK$ is twice as warm as $5^oK$ Other examples of numeric attributes include: calendar years (interval-scale), blood pressure (ratio-scaled), and number of retweets.\n",
    "\n",
    "Dependency-oriented data also have subcategories based on what type of dependecy occurs. For instance, the **spatial**  category represents data in which spatially-neighboring entries are correlated. Examples include: the number of COVID-19 cases registered each day (time-series, possibly spatial as well), pixels in an image (spatial), and words in a sentence (time-series).\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2 - Exploratory Data Analysis \n",
    "\n",
    "Now that we understand how our attributes can be classified, we can start our exploratory analysis. Our goal here is to generate a **profile of our data set**, showing how attributes are distributed, potential cases of outliers or invalid values, data availability etc.\n",
    "\n",
    "In this lesson, we will use a [data set](https://www.kaggle.com/uciml/pima-indians-diabetes-database) containing clinical records of native american women from a people called the Pima. This data was collected to understand which biomarkers can assist in diagnosing diabetes.\n",
    "\n",
    "The attributes of this data set are:\n",
    "1. Pregnancies: Number of times pregnant\n",
    "2. Glucose: Plasma glucose concentration a 2 hours in an oral glucose tolerance test\n",
    "3. BloodPressure: Diastolic blood pressure (mm Hg)\n",
    "4. SkinThickness: Triceps skin fold thickness (mm)\n",
    "5. Insulin: 2-Hour serum insulin (mu U/ml)\n",
    "6. BMI: Body mass index (weight in kg/(height in m)^2)\n",
    "7. DiabetesPedigreeFunction: Diabetes pedigree function\n",
    "8. Age: Age (years)\n",
    "9. Outcome: diabetes test result (1 for positive, 0 for negative)\n",
    "\n",
    "Let's first remind ourselves that, in the machine learning community, the attributes used as input for prediction are also called **features**, and the variable that we want to predict is called **class**, **label** (for classication) or **target variable** (can be used for classification and regression). \n",
    "\n",
    "Note that most of our attributes are numerical, except for our class variable (Outcome). \n",
    "\n",
    "Let's open it up with Pandas to make use of its powerful ``DataFrame`` structure. The ``info()`` method is a quick way of viewing the content of our data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   Pregnancies               768 non-null    int64  \n",
      " 1   Glucose                   768 non-null    int64  \n",
      " 2   BloodPressure             768 non-null    int64  \n",
      " 3   SkinThickness             768 non-null    int64  \n",
      " 4   Insulin                   768 non-null    int64  \n",
      " 5   BMI                       768 non-null    float64\n",
      " 6   DiabetesPedigreeFunction  768 non-null    float64\n",
      " 7   Age                       768 non-null    int64  \n",
      " 8   Outcome                   768 non-null    int64  \n",
      "dtypes: float64(2), int64(7)\n",
      "memory usage: 54.1 KB\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# reading a CSV dataset with comma-separated values (,)\n",
    "df = pd.read_csv('../DATASETS/pima_diabetes.csv', sep = ',')\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The output of the ``info()`` method first shows the number of rows (entries) and columns (attributes) in our dataset. Therefore, 768 entries and 9 columns were read successfully. The following lines show the name of each attribute, the number of entries that are not null, and the data type (based on [numpy data types](https://numpy.org/doc/stable/user/basics.types.html)). The last line shows the amount of RAM required by our dataset (important for predicting memory and computing requirements).\n",
    "\n",
    "The fact that null entries were not detected does not necessarily mean all entries are valid. Null values can be represented in different ways depending on the dataset. If we know it beforehand, the ``read_csv()`` function allows us to configure which values should be considered null with the ``na_values`` parameter.\n",
    "\n",
    "Pandas usually does a good job inferring the types of our attributes, but note that our class attribute (Outcome) was detected as being an ``int64`` type. Since we know that our class is binary, we can fix this by converting it to categorical with the ``astype()`` method. Since we're at it, let's replace the $0$ and $1$ values for ones that actually tell us what they represent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 768 entries, 0 to 767\n",
      "Data columns (total 9 columns):\n",
      " #   Column                    Non-Null Count  Dtype   \n",
      "---  ------                    --------------  -----   \n",
      " 0   Pregnancies               768 non-null    int64   \n",
      " 1   Glucose                   768 non-null    int64   \n",
      " 2   BloodPressure             768 non-null    int64   \n",
      " 3   SkinThickness             768 non-null    int64   \n",
      " 4   Insulin                   768 non-null    int64   \n",
      " 5   BMI                       768 non-null    float64 \n",
      " 6   DiabetesPedigreeFunction  768 non-null    float64 \n",
      " 7   Age                       768 non-null    int64   \n",
      " 8   Outcome                   768 non-null    category\n",
      "dtypes: category(1), float64(2), int64(6)\n",
      "memory usage: 49.0 KB\n"
     ]
    }
   ],
   "source": [
    "# the `inplace` argument is used for altering the values in the dataframe itself, \n",
    "# instead of returning a new dataframe with the modifications\n",
    "df[\"Outcome\"].replace(0, 'Negative', inplace = True)\n",
    "df[\"Outcome\"].replace(1, 'Positive', inplace = True)\n",
    "df[\"Outcome\"] = df[\"Outcome\"].astype(\"category\")\n",
    "\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have our columns assigned to their most suited type, we can start analyzing its columns using descriptive statistics. This will give us an overall description of our data and is very useful for detecting problems like invalid, noisy or missing values.\n",
    "\n",
    "There are two basic aspects we can measure in our data: the central tendency, which tells us where most of our data is concentrated, and the dispersion, which shows us how spread out is our data.\n",
    "\n",
    "### 2.2.1 - Central Tendency\n",
    "\n",
    "The measures of central tendency try to tell us where most of our data is concentrated. This is useful, because we can describe with a single value an entire distribution. There is more than one way of measuring the central tendency, and we will discuss the most basic ones:\n",
    "\n",
    "**Mean ($\\mu$):** it is the sum of all values in a column divided by the number of summed values. It is mathematically expressed as $\\mu(X)=\\frac{1}{n}\\sum_i^nX_i$. It can also be called average.\n",
    "\n",
    "**Median:** if we order a series based on its values, the median is the value that separates this ordered list right in the middle. When there is an even number of values, the median of an ordered series $X$ is located in position $\\frac{|X|+1}{2}$. If the number is even, we take the average of positions  $\\frac{|X|}{2}-1$ and $\\frac{|X|}{2}+1$.\n",
    "\n",
    "**Mode:** this is the most frequent value in a series. So if we count how many times each value occurs, the one with the highest count would be the mode. We can have series with more than one, two (bimodal) or more (multimodal) modes.\n",
    "\n",
    "For **numeric** values, the mean and median are recommended predictors of central tendency. If our data is **asymmetrical**, i.e., the left and right halfs of the distribution are uneven, then it is recommended to use the median instead of the mean. The median is also less sensitive to outliers. For **categorical** data, the mode is the most recommended descriptor of central tendency.\n",
    "\n",
    "It is also possible to evaluate the symmetry (or skewness) of a series by simply comparing the central tendency measurements. For instance, the data is considered **symmetric** when all three are near each other. When the mode is smaller than the median, then we say that the data is **positively skewed**. Otherwise, it is **negatively skewed**. The figure below shows this example.\n",
    "\n",
    "![Examples of symmetric and skewed distributions](FIGS/2-skewness.png)\n",
    "<center>(source: Data Mining Concepts and Techniques)</center>\n",
    "\n",
    "\n",
    "### 2.2.2 - Dispersion\n",
    "\n",
    "Measuring the dispersion or the spread of our data is also important to understand how much the central tendencies are representative. The mean of series that is too disperse does not hold much description value. Let's see some ways of measuring this dispersion.\n",
    "\n",
    "**Standard Deviation ($\\sigma$):** it is the rooted squared difference between each sample and the mean, i.e., $\\sigma(X)=\\sqrt{\\frac{1}{n}\\sum_i^n(X_i-\\mu)^2}$. The square of the standard deviation is called **variance** and is also commonly used in descriptive statistics.\n",
    "\n",
    "**Quantiles:** consider that we plot the distribution of a series and divide it into equally-spaced intervals (in terms of percentage). The data points where each new interval begins are called quantiles. These values are used to summarize how our distribution behaves. The quantiles are represented as percentages, so if we split our data into four points, we would have 0.25, 0.5 and 0.75 quantiles (also called **quartiles** in this case). The figure below illustrates this.\n",
    "\n",
    "![quantile example](./FIGS/2-quantile_example.png)\n",
    "<center>(source: Data Mining Concepts and Techniques)</center>\n",
    "\n",
    "The 50% percentile (or second quartile - Q2) is also the **median**, and represents the point where our data is divided into two equally-distributed parts. Also, if the set composed of (min, Q1, Q2, Q3, max) is called the **5-number summary**.\n",
    "\n",
    "**Interquartile range (IQR):** a final metric for defining the spread is the interquartile range. This value represents the distance between the first and third quartiles, i.e., $IQR=Q_3-Q_1$. The IQR can be used to measure dispersion, and some authors defend that a good rule of thumb for **removing outliers** is to drop values  falling at  least  $1.5\\times IQR$ above the  third  quartile or below the first quartile."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.3 - Putting it to practice\n",
    "\n",
    "Let's see how we can obtain all these values in Python. Thankfully, the ``describe()`` method will already give us the main descriptors we need. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
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       "      <th></th>\n",
       "      <th>Pregnancies</th>\n",
       "      <th>Glucose</th>\n",
       "      <th>BloodPressure</th>\n",
       "      <th>SkinThickness</th>\n",
       "      <th>Insulin</th>\n",
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       "      <td>768.000000</td>\n",
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       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
       "      <td>768.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.845052</td>\n",
       "      <td>120.894531</td>\n",
       "      <td>69.105469</td>\n",
       "      <td>20.536458</td>\n",
       "      <td>79.799479</td>\n",
       "      <td>31.992578</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>33.240885</td>\n",
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       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.369578</td>\n",
       "      <td>31.972618</td>\n",
       "      <td>19.355807</td>\n",
       "      <td>15.952218</td>\n",
       "      <td>115.244002</td>\n",
       "      <td>7.884160</td>\n",
       "      <td>0.331329</td>\n",
       "      <td>11.760232</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.078000</td>\n",
       "      <td>21.000000</td>\n",
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       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>27.300000</td>\n",
       "      <td>0.243750</td>\n",
       "      <td>24.000000</td>\n",
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       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>117.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>30.500000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>0.372500</td>\n",
       "      <td>29.000000</td>\n",
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       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.000000</td>\n",
       "      <td>140.250000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>127.250000</td>\n",
       "      <td>36.600000</td>\n",
       "      <td>0.626250</td>\n",
       "      <td>41.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>122.000000</td>\n",
       "      <td>99.000000</td>\n",
       "      <td>846.000000</td>\n",
       "      <td>67.100000</td>\n",
       "      <td>2.420000</td>\n",
       "      <td>81.000000</td>\n",
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       "       Pregnancies     Glucose  BloodPressure  SkinThickness     Insulin  \\\n",
       "count   768.000000  768.000000     768.000000     768.000000  768.000000   \n",
       "mean      3.845052  120.894531      69.105469      20.536458   79.799479   \n",
       "std       3.369578   31.972618      19.355807      15.952218  115.244002   \n",
       "min       0.000000    0.000000       0.000000       0.000000    0.000000   \n",
       "25%       1.000000   99.000000      62.000000       0.000000    0.000000   \n",
       "50%       3.000000  117.000000      72.000000      23.000000   30.500000   \n",
       "75%       6.000000  140.250000      80.000000      32.000000  127.250000   \n",
       "max      17.000000  199.000000     122.000000      99.000000  846.000000   \n",
       "\n",
       "              BMI  DiabetesPedigreeFunction         Age  \n",
       "count  768.000000                768.000000  768.000000  \n",
       "mean    31.992578                  0.471876   33.240885  \n",
       "std      7.884160                  0.331329   11.760232  \n",
       "min      0.000000                  0.078000   21.000000  \n",
       "25%     27.300000                  0.243750   24.000000  \n",
       "50%     32.000000                  0.372500   29.000000  \n",
       "75%     36.600000                  0.626250   41.000000  \n",
       "max     67.100000                  2.420000   81.000000  "
      ]
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    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The output of this method shows, for each column, the count of valid entries, the mean and standard deviation (std), as well as the 5-number summary.\n",
    "\n",
    "We can see that most of our columns are asymmetrical, since the mean and the meadian (50% quartile) are different. We can alo see only adult women were included in the analysis (minimum age is 21). \n",
    "\n",
    "It is also worth mentioning that the maximum amount of pregnancies is 17, which is far what is expected. This case can be considered an **outlier**, i.e., a value that is too distant from the mean and that usually represents an anomalous event. This is probably what's causing the difference between the mean and the median in this column.\n",
    "\n",
    "By looking at the min and max values, we can observe that the min value for blood pressure is $0$. This is likely an **invalid measurement**, since it would represent that the patient is dead. The same goes for glucose with a value of $0$.\n",
    "\n",
    "A final observation is that the ``Outcome`` attribute was not included in this analysis. This is because the ``describe()`` only shows numeric attributes by default. We can change this with the ``include`` parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Outcome</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Outcome\n",
       "count        768\n",
       "unique         2\n",
       "top     Negative\n",
       "freq         500"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include = 'category')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the descriptors used here are different, showing values that are more suitable for categorical data. The output shows us we have $2$ unique values, which makes sense for a binary variable. It also shows us that the most frequent element (top) is ``Negative``, which is also expected. \n",
    "\n",
    "Finally, we can see that the most frequent case occured in $500$ of $768$ entries. This is an important information because it shows that our dataset is **imbalanced**, i.e., the occurrences of each class value are different. We will get back to this matter in future lessons, but you should know now that imbalanced data is usually unwanted and must be handled somehow.\n",
    "\n",
    "### 2.3.1 - Visualizing Central Tendency and Dispersion\n",
    "\n",
    "A great tool for visualizing the five-number summary is the **box plot**. Let's first take a look at it before explaining what it shows. We will use the **plot** method of the Pandas library for this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# the kind parameter is used to select the boxplot, and the figsize is used to define the size of the plot\n",
    "df.plot(kind = \"box\", figsize= (15,5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# creating three subplots in the same figure (one row, three columns)\n",
    "# the axes variable will hold a list with the three subplots for referencing \n",
    "fig, axes = plt.subplots(1,3, figsize = (15,5))\n",
    "\n",
    "# plotting a specific series in each element of the axes list\n",
    "df[\"Pregnancies\"].plot(kind = \"box\", ax = axes[0])\n",
    "df[\"Glucose\"].plot(kind = \"box\", ax = axes[1])\n",
    "df[\"BloodPressure\"].plot(kind = \"box\", ax = axes[2])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Showing the boxplot for all columns on the same chart (first figure) makes it difficult to read due to differences in scale. In such cases, it is better to create a single plot for each column individually. Now let's see how we can read this chart.\n",
    "\n",
    "The box represents the area between quartiles Q1 and Q3. The green line in the middle of the box is the meduan (Q2). The whiskers can mean two things: if there is no outlier, the whisker indicates the minimum or the maximum value. If the series has outliers, the whisker is extended as far as $1.5\\times IQR$, and samples out of this limit are plotted as rounded points. \n",
    "\n",
    "To exemplify, let's take the glucose chart in the middle. This chart has a median of ${\\sim}100$, an IQR of ${\\sim}50$, a maximum of $200$ and a minimum of $0$. Since this minimum is smaller than $Q1 - 1.5\\times IQR$, it is plotted as an outlier.\n",
    "\n",
    "If we want to stratify our boxplot by a category, for instance our class variable, we can use the boxplot implementation of the ``seaborn`` library. This library contains several useful visualization techniques, so we will be using it a lot in our course.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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zz+bWW28takYXEakpGrshIiJlKT4WfMCAARoLXkkNrqvnSa1bwbdvVu/5jiMvL6/ofdu2bdm7d29RuXXr1syfP/+oY1q0aMHSpUuJiYlh1apVrF69msaNGwPw2muvlXqdadOmMW3atFKvGxsby86dR85AGhUVRXp6+lHr/4mI1CSN3RCR2io3N5f777+fSZMmKdkI2EUXXcSrr77KRRddFHQodVaDS/yOt+ZebbFlyxauu+46CgoKaNSoEU888UTQIYmIRETv3r1ZunTpEWURkdpAa8fVHjNmzKCgoICMjAxmz54ddDh1UoNL/OqKzp0788EHHwQdhohIxLl70CGIiByl5PjjESNGqNUvINnZ2WzevBmAzZs3k52dTadOnYINqg7SGD8REQnUW2+9dUT5zTerrzu+iEhlafxx7TFlypQyy1I+SvxERCRQMTExZZZFRIJQ2vhjCUZha9+xylI+SvxERCRQxSeiKq0sIhKEfv36YWYAmJnWjgtQx44dyyxL+UQs8TOzp8xsm5l9XKxuspltNbOs8OuKYxw7wMz+ZWbZZjY+UjGKiBzjXjW/2H1qs5llhes7mtm+YttmBhZ4PaJ/0EWkNho0aFDRGGR356qrrgo4oobr9ttvP6I8ZsyYgCKp2yLZ4jcbGFBK/SPunhx+LS650cyigT8ClwNdgOvNrEsE44y46OhokpOTOfvssxkyZMgRyzmUx9dff821114LhBZ4X7z4h1/bokWLmDp1arXGK9LAzKbEvcrdhxbep4DngReKbf6s2D3sVzUXZv113333lVkWEQnCokWLjmjxe+WVVwKOqOEqORa8ZFnKJ2IDKdz9LTPrWIlDfwpku/vnAGb2LDAY2FAdcU2863Z27fi2Ok4FQIvWbUl/aEaZ+8THx5OVlQXA8OHDmTlzJuPGjSv3NX784x+zcOFCIJT4ZWZmcsUVocbSQYMGMWjQoMoFLyJl3qss9C/+dUDfGg2qgWnZsiVmhrtjZrRs2TLokEREWL58+REtflpjNDjLly8/oqy/ReUEMYL+djMbAWQCd7n7dyW2twO+KlbOAc4/1snMLBVIBejQocNxL75rx7fcc/rGisZ8TNM+q9j+vXv3Zt26dezcuZObbrqJzz//nCZNmjBr1iySkpJ48803SUtLA0JPl9566y1yc3MZOHAga9eu5Xe/+x379u3jnXfeYcKECezbt4/MzEx+//vfk5SUxBdffEFUVBR79uzhzDPP5PPPP2fLli2MHj2a7du306RJE5544gnOPPPMavsdiNRjvYFv3X1TsbpEM/sA2A3c5+5vBxNa/TFnzhyioqI4fPgwUVFRWi9LRGqFfv36sWjRoqKyxvgFp1+/fixevJj8/HxiYmL0t6ikmp7c5XHgdCAZ+AZ4qKondPdZ7p7i7ilt2rSp6ukiKj8/n9dee41u3boxadIkzj33XNatW0d6ejojRowA4MEHH+SPf/wjWVlZvP3228THxxcd36hRIx544AGGDh1KVlYWQ4cOLdrWokULkpOTi6ZBf/XVV7nsssuIjY0lNTWVjIwM1qxZw4MPPshtt91Wsx9cpO66HnimWPkboIO7nwuMA/6fmTUv7UAzSzWzTDPL3L59ew2EWnctX76cw4cPA6Ep0zVznojUBhdddFGZZak5I0eOJCoqlLZER0cXfW+WiqnRFj93L+pjaWZPAK+WsttW4JRi5fbhujpr3759JCcnA6EWv5tvvpnzzz+f559/HoC+ffuSm5vL7t276dWrF+PGjWP48OFcc801tG/fvtzXGTp0KPPnz+fiiy/m2Wef5bbbbiMvL493332XIUOGFO134MCBav18IvWRmcUA1wDnFda5+wHgQPj9GjP7DPgJoR4MR3D3WcAsgJSUlDq/QnlGRgbZ2dkROXd8fPwRY5/j4+OLej5Up06dOmlCABEptxkzjhzKk5GRwezZs4MJpg6I5L8TQNF4y6ZNm/LAAw9E5Br1/d+JGk38zOxkd/8mXPwF8HEpu60GOptZIqGEbxjwXzUUYkQUH+N3POPHj+fKK69k8eLF9OrVi6VLlxIXF1euYwcNGsTEiRPZuXMna9asoW/fvuzZs4cTTzyx3NcXkSL9gI3unlNYYWZtgJ3uftjMTgM6A58HFWB90bZtW3Jzc4HQP+xt27YNOCIREa0dV9tERUURFRWlfyOqIGKJn5k9A/QBWptZDjAJ6GNmyYADm4Fbw/v+GPiLu1/h7vlmdjuwFIgGnnL39ZGKMyi9e/dm3rx5/M///A8rV66kdevWNG/enM8++4xu3brRrVs3Vq9ezcaNG4taCwGaNWvG999/X+o5mzZtSo8ePUhLS2PgwIFER0fTvHlzEhMTWbBgAUOGDMHdWbduHeecc04NfVKR2q20e5W7P0noodMzJXa/CHjAzA4BBcCv3H1nTcYblEg/Af3lL39Jbm4ugwYN0vg+EakVOnbseESyp6VmyhbpfycKe4I89thjEb1OfRbJWT2vL6X6yWPs+zVwRbHyYuCopR7qk8mTJ3PTTTeRlJREkyZNmDNnDgCPPvoof//734mKiqJr165cfvnlfPPNN0XHXXzxxUydOpXk5GQmTJhw1HmHDh3KkCFDWLlyZVHdvHnz+PWvf82UKVM4dOgQw4YNU+InEnaMexXuPqqUuucJLe8g1axt27bs379f4zZEpNa47777uOWWW44oi9RlQczqGagWrdtWeCbO453vePLy8o6qa9WqFS+99NJR9RkZGUfVdezYkY8//rjouNWrVx+xfdSoUUXvr7322qKphwslJiayZMmS48YpIhKU2NhYOnXqREJCQtChiIgAofFeha1+HTt2pFOnTkGHJFIlDS7xO96aeyIiIiIiEGrlS0tLU2uf1AsNLvETERERESmPTp068be//S3oMESqRU2v4yciIiIiIiI1rEG0+Ll70dofUn4lxwqKiEjZIr2OVaQVxh6JdRRrUn1fi0tEpDLqfeIXFxdHbm4uCQkJSv4qwN3Jzc0t9xqCIiISSpw2rf+ADk0PBx1KpTQ6FOoIdODLzIAjqbwtedFBhyAiUivV+8Svffv25OTksH379qBDqXPi4uJo37590GGIiNQpHZoeZmL33UGH0WClr20edAjVxsyeAgYC29z97HBdK2A+0JHQmsjXuft3Fnq6/Rih5bH2AqPcfW0QcYtI7VTvE7/Y2FgSExODDkNERESkomYDM4C5xerGA2+4+1QzGx8u3wNcDnQOv84HHg//FBEBGkDiJyIiIlIXuftbZtaxRPVgoE/4/RxgJaHEbzAw10MD9N8zsxPN7GR3/6aGwg1EpMfVbt26FYB27dpF7Boakyo1RbN6ioiIiNQdbYslc/8G2obftwO+KrZfTrjuCGaWamaZZpapYTDHt2/fPvbt2xd0GCLVQi1+IiIiInWQu7uZVWgKbnefBcwCSElJqfPTd0e6paxwhtvHHnssotcRqQlq8RMRERGpO741s5MBwj+3heu3AqcU2699uE5EBFDiJyIiIlKXLAJGht+PBF4uVj/CQi4AdtX38X0iUjHq6ikiIiJSC5nZM4QmcmltZjnAJGAq8JyZ3Qx8CVwX3n0xoaUcsgkt53BjjQcsIrWaEj8RERGRWsjdrz/GpktK2deB0ZGNSETqMnX1FBERERERqeeU+ImIiIiIiNRzSvxERERERETqOSV+IiIiIiIi9ZwSvwbk5Zdfpk+fPrzyyitBhyIiIiIiIjVIiV8D8uijjwLw8MMPBxuIiIiIiIjUKCV+DcTLL79MaKZncHe1+omIiIiINCBK/BqIwta+Qmr1Ewkxs6fMbJuZfVysbrKZbTWzrPDrimLbJphZtpn9y8wuCyZqERERkYpR4tdAFLb2Hass0oDNBgaUUv+IuyeHX4sBzKwLMAzoGj7mT2YWXWORioiIiFSSEr8GwszKLIs0VO7+FrCznLsPBp519wPu/gWQDfw0YsGJiIiIVBMlfg3EHXfccUR53LhxwQQiUnfcbmbrwl1BW4br2gFfFdsnJ1wnIiIiUqsp8WsgBg8eXNTKZ2ZcddVVAUckUqs9DpwOJAPfAA9V9ARmlmpmmWaWuX379moOT0RERKRiIpb4HWPChD+Y2cbwU/QXzezEYxy72cw+Ck+qkBmpGBuawlY/tfaJlM3dv3X3w+5eADzBD905twKnFNu1fbiutHPMcvcUd09p06ZNZAMWEREROY5ItvjN5ugJE14Hznb3JOBTYEIZx18cnlQhJULxNTiDBw9m5cqVau0TOQ4zO7lY8RdA4QOsRcAwM2tsZolAZ+D9mo5PREREpKJiInVid3/LzDqWqFtWrPgecG2kri8iUh5m9gzQB2htZjnAJKCPmSUDDmwGbgVw9/Vm9hywAcgHRrv74QDCFhEREamQiCV+5XATMP8Y2xxYZmYO/NndZx3rJGaWCqQCdOjQodqDFJH6zd2vL6X6yTL2/z3w+8hFJCIiIlL9ApncxczuJfS0fN4xdvmZu3cHLgdGm9lFxzqXxtGIiIiIiIiUrcYTPzMbBQwEhvsxVhF3963hn9uAF9E6WSIiIiIiIpVWo4mfmQ0A7gYGufveY+xzgpk1K3wPXMoPEyuIiIiIiIhIBUVyOYdngFXAGWaWY2Y3AzOAZsDr4aUaZob3/bGZLQ4f2hZ4x8w+JDRb3t/cfUmk4mxIXn75Zfr06cMrr7wSdCgiIiIiIlKDIjmrZ7knTHD3r4Erwu8/B86JVFwN2aOPPgrAww8/rCUdREREREQakEAmd5Ga9/LLL1M4pNLd1eonIiIiItKABLmcg9Sgwta+Qmr1ExGpflu3bmXP99Gkr20edCgN1pffR3PC1q1BhyEiUuuoxa+BKDmB6jEmVBURERERkXpILX4NhJkdkeyZWYDRiIjUT+3ateNA/jdM7L476FAarPS1zWncrl3QYYiI1Dpq8Wsg7rjjjiPK48aNCyYQERERERGpcUr8GojBgwcXtfKZmcb3iYiIiIg0IEr8GpDCVj+19omIiIiINCwa49eADB48mMGDBwcdhoiIiIiI1DC1+ImIiIiIiNRzavETEREREanHMjIyyM7ODjqMKimMPy0tLeBIKq9Tp06MGTMmsOsr8RMRERERqceys7PZtP4DOjQ9HHQoldboUKij4oEvMwOOpHK25EUHHYISPxEREZG6xszuBG4BHPgIuBE4GXgWSADWADe4+8HAgpRapUPTw1pjNEDpa5sHHYLG+ImIiIjUJWbWDhgLpLj72UA0MAyYBjzi7p2A74Cbg4tSRGobJX4iIiIidU8MEG9mMUAT4BugL7AwvH0OcHUwoYlIbaTET0RERKQOcfetwIPAFkIJ3y5CXTv/4+754d1ygHYljzWzVDPLNLPM7du311TIIlILaIxfLRLpGZe2bt0KQLt2R/07UK2CnrFIRESkPjOzlsBgIBH4D7AAGFCeY919FjALICUlxSMUoojUQkr8GpB9+/YFHYKIiIhUXT/gC3ffDmBmLwC9gBPNLCbc6tce2BpgjCJSyyjxq0Ui3UpWuO7JY489FtHriNQlZvYUMBDYFp4kATP7A3AVcBD4DLjR3f9jZh2BT4B/hQ9/z91/VfNRi0gDtwW4wMyaAPuAS4BM4O/AtYRm9hwJvBxYhGF1ff24+rB2HIR6fbUOOggJnBI/EWnoZgMzgLnF6l4HJrh7vplNAyYA94S3febuyTUaoYhIMe7+TzNbCKwF8oEPCHXf/BvwrJlNCdc9GVyUIdnZ2WR9/AmHm7QKOpRKiToY6g275vNvA46k8qL37qRpXCzEBh2JBE2Jn4g0aO7+Vrglr3jdsmLF9wg9QRcRqTXcfRIwqUT158BPAwinTIebtGLfmVcEHUaDFb9xMRR8H3QYUgso8RMRKdtNwPxi5UQz+wDYDdzn7m8HE9aR1J0qeJ06dQo6BKnFzOxUoLO7LzezeCDG3fVtXERqjBI/EZFjMLN7CXWjmheu+gbo4O65ZnYe8JKZdXX33aUcmwqkAnTo0CHisao7VbCi9+4MOgSpxczsvwndD1oBpxOaeGUmobF5IiI1QomfiEgpzGwUoUlfLnF3B3D3A8CB8Ps1ZvYZ8BNCkyocIYgp09WdKjjxGxcHHYLUbqMJdcH8J4C7bzKzk4INSUQaGi3gLiJSgpkNAO4GBrn73mL1bcwsOvz+NKAzoTE1IiJlOeDuBwsLZhYDaA09EalRSvxEpEEzs2eAVcAZZpZjZjcTmuWzGfC6mWWZ2czw7hcB68wsC1gI/Mrd1cdPRI7nTTObCMSbWX9CC66/EnBMItLAlKurp5mdAOxz9wIz+wlwJvCaux+KaHQiIhHm7teXUl3qFOju/jzwfGQjEpF66B7gFuAj4FZgMfCXQCOSBuXAgQN8uT+a9LXNgw6lwfry+2hO2Lo10BjKO8bvLaC3mbUElgGrgaHA8EgFJiIiIlLXhbuHr3f3M4Engo5HRBqu8iZ+5u57w12g/uTu/yfc1ansg8yeIjQ5wjZ3Pztc14rQ1Ogdgc3Ade7+XSnHjgTuCxenuPuccsYqIiISmC15dfep+rd7QyNA2jYpCDiSytuSF03noIMoxt0Pm9m/zKyDu28JOh5pmBo3bswpsfuY2P2oSailhqSvbU7jdu0CjaHciZ+Z9STUwndzuC66HMfNJjRWZm6xuvHAG+4+1czGh8v3lLhYK0KLkqYQGvy8xswWlZYgioiI1Ba1cS2/uLg4fvazn9GyZUvMrMx98/PzAYiJqduTfsfExPDJJ59Uy7ni4uJo3749sbGxVTlNS2C9mb0P7CmsdPdBVY1PRKS8yntnvwOYALzo7uvDs9n9/XgHuftbZtaxRPVgoE/4/RxgJSUSP+Ay4PXCSRPM7HVgAPBMOeMVERGpcWPGjAk6hKN88cUXNGvWjISEhOMmflu2hBqkamLtybrA3cnNzSUnJ4fExMSqnOp/qismEZHKKlfi5+5vEpqRqkm4/DkwtpLXbOvu34Tf/xtoW8o+7YCvipVzwnUiIiJSAfv376djx47HTfrkaGZGQkIC27dvr9J5wt+jREQCVa7lHMysp5ltADaGy+eY2Z+qevHwoshVWsfGzFLNLNPMMqt6YxYREamPlPRVXnX87szsezPbHX7tN7PDZqbBViJSo8q7jt+jhLpf5gK4+4eE1rOqjG/N7GSA8M9tpeyzFTilWLl9uO4o7j7L3VPcPaVNmzaVDElEREQkMty9mbs3d/fmQDzwS6DKD9BFRCqi3KO33f2rEk+9DlfymouAkcDU8M+XS9lnKZAeXj4C4FJCYwxFREQkQDk5OYwePZoNGzZQUFDAwIED+cMf/kCjRo2OeUx6ejoTJ06swShrr3Bvp5fMbBKhCe7qta1btxK9dxfxGxcHHUqDFb03lwPmUKX5iaQ+KG+L31dmdiHgZhZrZr8Bjjtdlpk9A6wCzjCznPByEFOB/ma2CegXLmNmKWb2F4DwpC7/m9B6gauBBwonehEREZFguDvXXHMNV199NZs2beLTTz8lLy+Pe++9t8zj0tPTayjC2snMrin2utbMpgL7g45LRBqW8rb4/Qp4jNAEK1sJLeI++ngHufv1x9h0SSn7ZgK3FCs/BTxVzvhERDCzU4HO7r7czOKBGHf/Pui4ROqLFStWEBcXx4033ghAdHQ0jzzyCImJiSQmJrJhwwZmzJgBwMCBA/nNb37DkiVL2LdvH8nJyXTt2pV58+Yxd+5cHnzwQcyMpKQk/vrXv7J582ZuuukmduzYQZs2bXj66afp0KEDo0aNIj4+ng8++IBt27bx1FNPMXfuXFatWsX555/P7NmzAVi2bBmTJk3iwIEDnH766Tz99NM0bdo0qF9VSVcVe59PaB3jwcGEUrPatWvHvw/EsO/MK4IOpcGK37iYpgXfA/uCDkUCVt5ZPXcQWsNPRKRWMrP/BlKBVsDphMYGz6SUB00iUjnr16/nvPPOO6KuefPmdOjQoWgNwJKmTp3KjBkzyMrKKjrHlClTePfdd2ndujU7d4Y69IwZM4aRI0cycuRInnrqKcaOHctLL70EwHfffceqVatYtGgRgwYN4h//+Ad/+ctf6NGjB1lZWbRv354pU6awfPlyTjjhBKZNm8bDDz/M7373u4j9LirC3W8MOgYRkTITPzO7293/j5llUMrsm+5e2SUdRESq22jgp8A/Adx9k5mdFGxIIlLSihUrGDJkCK1btwagVatWAKxatYoXXngBgBtuuIG777676JirrroKM6Nbt260bduWbt26AdC1a1c2b95MTk4OGzZsoFevXgAcPHiQnj171uTHKpOZ/R9gCqEmlyVAEnCnu//fQAMTkQbleC1+heP4MiMdiIhIFR1w94OFk1CZWQxVXC5GRI7UpUsXFi5ceETd7t272bJlCyeeeCIFBQVF9fv3V98QtsaNGwMQFRVV9L6wnJ+fT3R0NP379+eZZ56ptmtWs0vd/W4z+wWhbp7XAG8BSvxEpMaUObmLu78S/jmntFfNhCgiUi5vmtlEIN7M+gMLgFcCjkmkXrnkkkvYu3cvc+fOBeDw4cPcddddjBo1itNOO42srCwKCgr46quveP/994uOi42N5dChQwD07duXBQsWkJubC1DU1fPCCy/k2WefBWDevHn07t273HFdcMEF/OMf/yA7OxuAPXv28Omnn1b9A1efwgftVwIL3H1XkMGISMNU3gXcXzezE4uVW5rZ0ohFJSJSceOB7cBHwK3AYuC+QCMSqWfMjBdffJEFCxbQuXNnfvKTnxAXF0d6ejq9evUiMTGRLl26MHbsWLp37150XGpqKklJSQwfPpyuXbty77338vOf/5xzzjmHcePGAZCRkcHTTz9dNNnLY489Vu642rRpw+zZs7n++utJSkqiZ8+ebNy4sdo/fxW8amYbgfOAN8ysDZrVU0RqWHln9Wzj7v8pLLj7dxo7IyK1ibsXAE8AT5hZK6B9eL0sEalGp5xyCq+8Unpj+rx580qtnzZtGtOmTSsqF07iUtypp57KihUrjjq2cNZOgI4dO/Lxxx+Xuq1v376sXr26PB+hxrn7+PA4v13uftjM9tBAZvWU2mNLXjTpa5sHHUalfbs31F7VtknBcfasnbbkRdM54BjKm/gdNrMO7r4FiqZM1xcqEak1zGwlMIjQfW0NsM3M3nX3OwMNrIZokeRgRe/NZevW0me1FDGzIcCScNJ3H9Cd0GQv/w42Mmko4uPjadepU9BhVMnBcFfuxqfWzc/RGegU8N+gvInfvcA7ZvYmYEBvQtOmi4jUFi3cfbeZ3QLMdfdJZrYu6KBERID/cfcFZvYzoB/wB+Bx4Pxgw5KGol27dhXqPl0bpaWlAdT5zxGk8q7jt8TMugMXhKvuCK/tJyJSW8SY2cnAdYQeVjUoWiQ5WPEbF9OuXdugw5Da63D455XALHf/m5lNCTIgEWl4yjW5S1hjYCewG+hiZhdFJiQRkUp5AFgKfObuq83sNGBTwDGJiABsNbM/A0OBxWbWmIp9BxMRqbJytfiZ2TRCN6v1QOGISie0Bo2ISODcfQGhJRwKy58DvwwuIhGRItcBA4AH3f0/4d4Jvw04JhFpYMo7xu9q4Ax3PxDBWEREKs3M2gMZQK9w1dtAmrvnBBeViAi4+14z2wb8jFBPhHzUI0FEalh5E7/PgVhAiZ+I1FZPA/8PGBIu/69wXf+yDjKzp4CBwDZ3Pztc1wqYD3QENgPXhZexMeAx4ApgLzDK3ddW+ycRiaDbx/2WbTt2lrotPz80FC0mJrrc5zupdStmPPyHMvcxM8aNG8dDDz0EwIMPPkheXh6TJ08u93XKIz09nYkTJxaVL7zwQt59991qvUZlmNkkIAU4g9B9KRb4v/zwoEpEJOLKm/jtBbLM7A2KJX/uPjYiUYmIVFwbd3+6WHm2md1RjuNmAzOAucXqxgNvuPtUMxsfLt8DXE5oRubOhGbj06x8Uuds27GTz9r+vPpO+O2bx92lcePGvPDCC0yYMIHWrVtX37VLKJn41YakL+wXwLnAWgB3/9rMmgUbUs2J3ruzzi41E7V/NwAFcXV3/bvovTsBTT4l5U/8FoVfIiK1Va6Z/S/gmXD5eiD3eAe5+1tm1rFE9WCgT/j9HGAlocRvMKGlIhx4z8xONLOT3f2bqocvUn/FxMSQmprKI488wu9///sjtm3fvp1f/epXbNmyBYBHH32UXr16sX37dv7rv/6Lr7/+mp49e/L666+zZs0aWrduzdVXX81XX33F/v37SUtLIzU1lfHjx7Nv3z6Sk5Pp2rUr8+bNo2nTpuTl5TFs2DBuuOEGrrzySgBGjRrFwIED+cUvfsH48eNZuXIlBw4cYPTo0dx6662R+BUcdHc3MwcwsxMicZHaKOh1y6oqO/t7ADqdVpcTp7Z1/u8g1aO8yznMiXQgIiJVdBOhMX6PEJp86l3gxkqeq22xZO7f/PCotB3wVbH9csJ1SvxEjmP06NEkJSVx9913H1GflpbGnXfeyc9+9jO2bNnCZZddxieffML9999P3759mTBhAkuWLOHJJ58sOuapp56iVatW7Nu3jx49evDLX/6SqVOnMmPGDLKyso669tChQ3nuuee48sorOXjwIG+88QaPP/44Tz75JC1atGD16tUcOHCAXr16cemll5KYmFjdH/+58KyeJ5rZfxO6Xz1RlROa2YnAX4CzCd3zbgL+RSnd1KtynaoaM2ZMkJevMq0dJ/VJeWf17Az8f0AXIK6w3t1Pi1BcIiIV4u5fAoMicN6ip/QVYWapQCpAhw4dqjsskTqnefPmjBgxgunTpxMfH19Uv3z5cjZs2FBU3r17N3l5ebzzzju8+OKLAAwYMICWLVsW7TN9+vSibV999RWbNm0iISHhmNe+/PLLSUtL48CBAyxZsoSLLrqI+Ph4li1bxrp161i4cCEAu3btYtOmTdWa+IXHBs8HziS0JNYZwO/c/fUqnvoxYIm7X2tmjYAmwERK76YuIlLurp5PA5MIPUm/mNBTdK0/IyK1hpnNITSL53/C5ZbAQ+5+UyVO921hF87wtOvbwvVbgVOK7dc+XHcUd58FzAJISUmpcOIoUh/dcccddO/enRtv/KExvqCggPfee4+4uLgyjvzBypUrWb58OatWraJJkyb06dOH/fv3l3lMXFwcffr0YenSpcyfP59hw4YB4O5kZGRw2WWXVf5DHUf44dFid+8GVDXZA8DMWgAXAaPC1zgIHDSzY3VTFxEpd/IW7+5vAObuX7r7ZODKyIUlIlJhSYVJH0C4e9O5lTzXImBk+P1I4OVi9SMs5AJgl8b3iZRfq1atuO66647otnnppZeSkZFRVC7sqtmrVy+ee+45AJYtW8Z334V6LO7atYuWLVvSpEkTNm7cyHvvvVd0bGxsLIcOHSr12kOHDuXpp5/m7bffZsCAAQBcdtllPP7440XHfPrpp+zZs6f6PvAP1ppZj2o8XyKwHXjazD4ws7+Exw0eq5t6ETNLNbNMM8vcvn17NYYkIrVdeVv8DphZFLDJzG4n9IS7aeTCEhGpsCgza1k4niW8JMNx73Fm9gyhJ+StzSyHUO+GqYTG5NwMfElo8WWAxYSWcsgmNNtxZccQigTmpNatjjkTZ2WXc6iIu+66ixkzZhSVp0+fXjT+Lz8/n4suuoiZM2cyadIkrr/+ev7617/Ss2dPfvSjH9GsWTMGDBjAzJkzOeusszjjjDO44IILis6VmppKUlIS3bt3Z968eUdc99JLL+WGG25g8ODBNGrUCIBbbrmFzZs30717d9ydNm3a8NJLL1Xo85TT+cD/MrPNwB7ACDUGJlXyfDFAd2CMu//TzB4j1K2zyLG6qas3gkjDVd7EL41Q3/GxwP8G+vLD03ARkdrgIWCVmS0g9KXqWuD3ZR8C7n79MTZdUsq+DoyuSpAiQStrzb3CmTWre1xqXl5e0fu2bduyd+/eonLr1q2ZP3/+Uce0aNGCpUuXEhMTw6pVq1i9ejWNGzcG4LXXXiv1OtOmTWPatGmlXjc2NpadO49cvzAqKor09HTS09Mr98HKr7r7kuYAOe7+z3B5IaHE71jd1EVEyj2r5+rw2zz0hFtEaiF3n2tmmYQeTAFc4+4byjpGRGqvLVu2cN1111FQUECjRo144okqTYIZCDM7idCEK52Aj4D/z913V/W87v5vM/vKzM5w938RelC1IfwaSajXQvFu6iIi5Z7V8yfAb4FTix/j7n2PeZCISA0ysw6EHk4tKl7n7luCi0pEKqtz58588MEHQYdRVXOBNYSWmhkITCc8IUs1GAPMC8/o+Tk/TLxXWjd1EZFyd/VcAMwktObM4ciFI1I+GRkZZGdnBx1GpRXGXrg+UF3UqVOn2rY+098IrWUFEE9o8oN/AV0Di6iGRe/dSfzGxUGHUSlR+0ONIAVxzQOOpHKi9+6klHk0RE5293vD75ea2drqOrG7ZwEppWw6qpu6iAiUP/HLd/fHIxqJSAVkZ2ezaf0HdGhaN59DNDoUmlD3wJeZAUdSOVvyyj/xQ00JT5VexMy6A7cFFE6N69SpU9AhVEl29vcAdDqtriZPbev830AiI7y0jIWL0cXL7r7zmAeKiFSz8iZ+r5jZbcCLwIHCSt2wJEgdmh5mYvcqD5WQSkhfW/tbZdx9rZmdH3QcNaWWtb5WWGHr92OPPRZwJCLVqgWhrp5WrK6w1c+B02o8IhFpsMqb+BXO4PnbYnW6YYlIrWFm44oVowhNdf51QOGIiODuHYOOQUSkUHln9UyMdCAiIlXUrNj7fEJj/p4PKBaRWmviXbeza8e3pW47fDgfgOjo8j4Xhhat25L+0Iwy94mOjqZbt27k5+dz1llnMWfOHJo0aVLua3z99deMHTuWhQsXkpWVxddff80VV1wBwKJFi9iwYQPjx48/zllqXrjL+TG5e7WN+RMROZ7yzup5TSnVu4CP3L1Ca8SY2RlA8QV7TgN+5+6PFtunD6EpiL8IV73g7g9U5Doi0rC4+/1BxyBSF+za8S33nL6x2s437bPj7xMfH09WVhYAw4cPZ+bMmYwbN67sg4r58Y9/zMKFCwHIysoiMzOzKPEbNGgQgwYNqnDcNeSh8M84QhOxfEio22cSkAn0DCguEWmAyvtI72ZCN6e/h8t9CPVZTzSzB9z9r+W9YHi9mWQAM4sGthIaO1jS2+4+sLznFZGGycxe4YfZPI/i7rX2G6FIQ9S7d2/WrVvHzp07uemmm/j8889p0qQJs2bNIikpiTfffLNozKeZ8dZbb5Gbm8vAgQNZu3Ytv/vd79i3bx/vvPMOEyZMYN++fWRmZvL73/+epKQkvvjiC6KiotizZw9nnnkmn3/+OVu2bGH06NFs376dJk2a8MQTT3DmmWdG/LO6+8Xhz/EC0N3dPwqXzwYmRzwAEZFiypv4xQBnufu3AGbWltDaNOcDbwHlTvxKuAT4zN2/rOTxIiIPllJXmAhaKdtEJCD5+fm89tprDBgwgEmTJnHuuefy0ksvsWLFCkaMGEFWVhYPPvggf/zjH+nVqxd5eXnExcUVHd+oUSMeeOABMjMzmTEj1L109uzZALRo0YLk5GTefPNNLr74Yl599VUuu+wyYmNjSU1NZebMmXTu3Jl//vOf3HbbbaxYsaImP/oZhUkfgLt/bGZn1WQAIiLlTfxOKUz6wraF63aa2aEqXH8Y8MwxtvU0sw8JTc7wG3dfX9pOZpYKpAJ06NChCqGISB11ItDe3f8IYGbvA20IJX/3BBiXiITt27eP5ORkINTid/PNN3P++efz/POhYbh9+/YlNzeX3bt306tXL8aNG8fw4cO55ppraN++fbmvM3ToUObPn8/FF1/Ms88+y2233UZeXh7vvvsuQ4YMKdrvwIEDZZwlItaZ2V+A/xsuDwfW1XQQItKwlTfxW2lmrxJayB3g2nDdCcB/KnNhM2sEDAImlLJ5LXCqu+eZ2RXAS0Dn0s7j7rOAWQApKSnH7O4lIvXW3YQeIhVqRGgszQnA0/xw3xKRgBQf43c848eP58orr2Tx4sX06tWLpUuXHtHqV5ZBgwYxceJEdu7cyZo1a+jbty979uzhxBNPLPf1I+RG4NdAWrj8FqD1kUWkRkWVc7/RhL5AJYdfc4DR7r6nsP96JVwOrC3RkgiAu+9297zw+8VArJm1ruR1RKR+a+TuXxUrv+Puue6+hVDyJyK1UO/evZk3bx4AK1eupHXr1jRv3pzPPvuMbt26cc8999CjRw82bjxyIppmzZrx/fffl3rOpk2b0qNHD9LS0hg4cCDR0dE0b96cxMREFiwIPQNydz788MPIfrgS3H0/8Efgd8D/ADPCdSIiNaa8yzm4mWUCu9x9uZk1AZoCpd95y+d6jtHN08x+BHwbvu5PCSWouVW4lojUXy2LF9z99mLFNjUci0it16J122POxFnZ5RwqY/Lkydx0000kJSXRpEkT5syZA8Cjjz7K3//+d6KioujatSuXX34533zzTdFxF198MVOnTiU5OZkJE47uNDR06FCGDBnCypUri+rmzZvHr3/9a6ZMmcKhQ4cYNmwY55xzTqXirozwbOVzgM2Exh6fYmYj3f2tGgtCRBq88i7n8N+ExtG1Ak4H2gEzCU3OUmHhLqL9gVuL1f0KwN1nEupK+mszywf2AcPcXd04RaQ0/zSz/3b3J4pXmtmtwPsBxSRSa5W15t6WLVuA6h8zn5eXd1Rdq1ateOmll46qz8jIOKquY8eOfPzxx0XHrV69+ojto0aNKnp/7bXXUvIrQ2JiIkuWLKlE5NXmIeDS8MzmmNlPCD38Pi/IoESkYSnvI73RwE+BfwK4+yYzO6myF3X3PUBCibqZxd7PAMpeDVZEJORO4CUz+y9C44Mh9GWqMXB1UEGJiBQTW5j0Abj7p2YWG2RAItLwlDfxO+DuB81CM6ObWQxlrJslIlJT3H0bcKGZ9QW6hqv/5u41Ole7iEgZMkuZ1TMzwHhEpAEqb+L3pplNBOLNrD9wG/BK5MISEamYcKKnZE+kFO5O4cNbqZhqGmnya0K9p8aGy28Df6qOE4uIlFd5E797gFuAjwiNy1sM/CVSQYmIiEj1iIuLIzc3l4SEBCV/FeTu5Obmlns5iTLOc8DMZgCvE+ox9S93r8o6yCIiFXbcxM/MooH17n4m8MTx9hcREZHao3379uTk5LB9+/bj7rtz504A9uzZE+mw6oy4uLgKLSJfGs3qKSK1wXETP3c/bGb/MrMO4XWxREREpI6IjY0lMTGxXPumpYXWF3/sscciGVJDpFk9RSRw5e3q2RJYb2bvA0WPAd19UESiEhERkaNkZGSQnZ0dsfMXnrswAYyETp06MWbMmIidv5bSrJ5S7+n+VPuVN/H7n4hGISIiIoGLj48POoT6SrN6ilSR7k9VV2biZ2ZxwK+AToQmdnnS3fNrIjARkSCZ2RnA/GJVpwG/A04E/hsoHDA10d0X12x00lDV5yfR9Zxm9ZR6T/en2u94LX5zgEOEblCXA12AyLWviojUEuFuWclQNMnVVuBF4EbgEXd/MLjoRKQucfcDwMPhl4hIII6X+HVx924AZvYk8H7kQxIRqXUuAT5z9y81Hb6IlJeZfURo+YZSuXtSDYYjIg3c8RK/ojVm3D1fX3hEpIEaRmgGvkK3m9kIQmN07nL370oeYGapQCpAhw4daiRIEal1BgYdgIhIoajjbD/HzHaHX98DSYXvzWx3TQQoIhIkM2sEDAIWhKseB04n1A30G0LTtB/F3We5e4q7p7Rp06YmQhWRWsbdvyz5IjQ7+pbwexGRGlNm4ufu0e7ePPxq5u4xxd43r6kgRUQCdDmw1t2/BXD3b939sLsXAE8APw00OhGptczsAjNbaWYvmNm5ZvYx8DHwrZkNCDo+EWlYyrucg4hIQ3U9xbp5mtnJ7v5NuPgLQl/iRERKMwOYCLQAVgCXu/t7ZnYmofvKkiCDE5GGRYmfiMgxmNkJQH/g1mLV/8fMkglN2LC5xDYRkeJi3H0ZgJk94O7vAbj7Rs2bICI1TYmfiMgxuPseIKFE3Q0BhSMidU9Bsff7Smw75myfIiKRoMRPREREJDLOCU+GZ0B8sYnxDIgLLiwRaYiU+ImIiIhEgLtHBx2DiEih4y3nICIiIiIiEqjc3FzGjh1Lbm5u0KHUWUr8REREROoYM4s2sw/M7NVwOdHM/mlm2WY2P7wGqUi9MWfOHD766CPmzp0bdCh1lhI/ERERkbonDfikWHka8Ii7dwK+A24OJCqRCMjNzWXJkiW4O0uWLFGrXyUp8RMRERGpQ8ysPXAl8Jdw2YC+wMLwLnOAqwMJTiQC5syZQ0FBaJLcw4cPq9WvkpT4iYiIiNQtjwJ388NyEQnAf9w9P1zOAdqVdqCZpZpZppllbt++PeKBilSH5cuXk58f+s87Pz+f119/PeCI6iYlfiIiIiJ1hJkNBLa5+5rKHO/us9w9xd1T2rRpU83RiURGv379iIkJLUYQExND//79A46oblLiJyIiIlJ39AIGmdlm4FlCXTwfA040s8JlutoDW4MJT6T6jRw5kqioUNoSHR3NiBEjAo6obtI6fiIiIiJ1hLtPACYAmFkf4DfuPtzMFgDXEkoGRwIvBxVjTcrIyCA7Ozti5y88d1paWsSu0alTJ8aMGROx89cHCQkJDBgwgFdeeYUBAwaQkJAQdEh1klr8REREROq+e4BxZpZNaMzfkwHHUy/Ex8cTHx8fdBhCqNWvW7duau2rgsBa/MJdFL4HDgP57p5SYrsR6rpwBbAXGOXua2s6ThEREZHayN1XAivD7z8HfhpkPEFQS1nDkZCQwPTp04MOo04Luqvnxe6+4xjbLgc6h1/nA4+Hf4qIiIiIiEgFBJ34lWUwMNfdHXjPzE40s5Pd/ZugAop0P/JIq4l+6jWhU6dOQYcgIiIiIlKnBJn4ObDMzBz4s7vPKrG9HfBVsXLhmjRHJH5mlgqkAnTo0CFy0RJKnLI+/oTDTVpF9DqREnXQAVjz+bcBR1J50Xt3Bh2CiIiIiEidE2Ti9zN332pmJwGvm9lGd3+roicJJ4yzAFJSUry6gyzpcJNW7DvzikhfRo4hfuPioEMQEREREalzAkv83H1r+Oc2M3uR0IDk4onfVuCUYmWtSSMiEhBNmS4iIlK3BbKcg5mdYGbNCt8DlwIfl9htETDCQi4AdgU5vk9ERCJHU6aLiIhEVlAtfm2BF0MrNhAD/D93X2JmvwJw95nAYkJLOWQTWs7hxoBiFRFp8NRSJiIiUrcFkviF15o5p5T6mcXeOzC6JuMSERERERGpjwLp6ikiIiIiIiI1R4mfiIiIiIhIPafET0TkGMxss5l9ZGZZZpYZrmtlZq+b2abwz5ZBxykiIpGRm5vL2LFjyc3NDTqUBk9/i6pT4iciUraL3T3Z3VPC5fHAG+7eGXgjXBYRkXpozpw5fPTRR8ydOzfoUBo8/S2qTomfiEjFDAbmhN/PAa4OLhQREYmU3NxclixZgruzZMkStTQFSH+L6qHET0Tk2BxYZmZrzCw1XNe22Jqi/ya0PM1RzCzVzDLNLHP79u01EauIiFSjOXPmUFBQAMDhw4fV0hQg/S2qhxI/EZFj+5m7dwcuB0ab2UXFN4aXnfHSDnT3We6e4u4pbdq0qYFQRUSkOi1fvpz8/HwA8vPzef311wOOqOHS36J6KPETETkGd98a/rkNeBH4KfCtmZ0MEP65LbgIRUQkUvr160dMTGjJ65iYGPr37x9wRA2X/hbVI5AF3EWqauvWrez5Ppr0tc2DDqVB+vL7aE7YujXoMCLKzE4Aotz9+/D7S4EHgEXASGBq+OfLwUVZf+Tm5nL//fczadIkEhISgg5HRISRI0eyZMkSAKKjoxkxYkTAETVc+ltUD7X4iYiUri3wjpl9CLwP/M3dlxBK+Pqb2SagX7gsVaTZ2kSktklISGDAgAGYGQMGDNBDqQDpb1E91OIndVK7du04kP8NE7vvDjqUBil9bXMat2sXdBgR5e6fA+eUUp8LXFLzEdVfJWdrGzFihP5RF5FaYeTIkWzevFktTLWA/hZVpxY/EREJlGZrE5HaKiEhgenTp+thVC2gv0XVKfETEZFAabY2ERGRyFPiJyIigdJsbSIiIpGnxE9ERAI1cuRIoqJC/xxptjYRqU1yc3MZO3Ysubm5QYciUmVK/EREJFCarU1EaivNOCz1iRI/EREJ3MiRI+nWrZta+0Sk1ig547Ba/aSuU+InIiKB02xtIlLbaMZhqW+U+ImIiIiIlKAZh6W+UeInIiIiIlKCZhyW+kaJn4iIiIhICZpxWOobJX4iIiIiIiVoxmGpb2KCDkBEREREpDYaOXIkmzdvVmuf1Atq8RMRERGpQ8zsFDP7u5ltMLP1ZpYWrm9lZq+b2abwz5ZBx1rXacZhqU+U+ImIiIjULfnAXe7eBbgAGG1mXYDxwBvu3hl4I1wWEQGU+ImIiIjUKe7+jbuvDb//HvgEaAcMBuaEd5sDXB1IgCJSK2mMn4iIiEgdZWYdgXOBfwJt3f2b8KZ/A21L2T8VSAXo0KFDDUVZ/x06dIicnBz2798fdCh1UlxcHO3btyc2NjboUOq1Gk/8zOwUYC6hm5EDs9z9sRL79AFeBr4IV73g7g/UYJgiIiIitZqZNQWeB+5w991mVrTN3d3MvOQx7j4LmAWQkpJy1HapnJycHJo1a0bHjh0p/neQ43N3cnNzycnJITExMehw6rUgWvwK+6WvNbNmwBoze93dN5TY7213HxhAfCIiIiK1mpnFEkr65rn7C+Hqb83sZHf/xsxOBrYFF2HDsn//fiV9lWRmJCQksH379qBDqfdqfIxfGf3SRUREROQ4LJRdPAl84u4PF9u0CBgZfj+SUO8pqSFK+ipPv7uaEejkLiX6pZfU08w+NLPXzKxrzUYmIiIiUmv1Am4A+ppZVvh1BTAV6G9mm4B+4bKICBBg4leyX3qJzWuBU939HCADeKmM86SaWaaZZaqJWEREROo7d3/H3c3dk9w9Ofxa7O657n6Ju3d2937uvjPoWKXicnJyGDx4MJ07d+b0008nLS2NgwcPlnlMenp6DUUndVkgid8x+qUXcffd7p4Xfr8YiDWz1qWdy91nuXuKu6e0adMmonGLiIiIiESKu3PNNddw9dVXs2nTJj799FPy8vK49957yzxOiZ+UR40nfmX0Sy++z4/C+2FmPyUUZ27NRSkiDZ2ZnWJmfzezDWa23szSwvWTzWxrie5VIiIiVbZixQri4uK48cYbAYiOjuaRRx7hqaee4k9/+hO333570b4DBw5k5cqVjB8/nn379pGcnMzw4cMBmDt3LklJSZxzzjnccMMNAGzevJm+ffuSlJTEJZdcwpYtWwAYNWoUv/71r7ngggs47bTTWLlyJTfddBNnnXUWo0aNKrresmXL6NmzJ927d2fIkCHk5eXV0G9FqksQLX6l9ks3s1+Z2a/C+1wLfGxmHwLTgWHurimHRaQmFc5A3AW4ABhtZl3C2x4p3r0quBBFRKQ+Wb9+Peedd94Rdc2bN6dDhw7k5+eXeszUqVOJj48nKyuLefPmsX79eqZMmcKKFSv48MMPeeyx0KppY8aMYeTIkaxbt47hw4czduzYonN89913rFq1ikceeYRBgwZx5513sn79ej766COysrLYsWMHU6ZMYfny5axdu5aUlBQefrjU9hupxWp8OQd3fwcoc+oed58BzKiZiEREjhZeBPmb8PvvzUwzEIuISK23YsUKhgwZQuvWoVFSrVq1AmDVqlW88EJohNUNN9zA3XffXXTMVVddhZnRrVs32rZtS7du3QDo2rUrmzdvJicnhw0bNtCrVy8ADh48SM+ePWvyY0k1CGIdPxGROqXEDMS9gNvNbASQSahV8LtSjkkFUgE6dOhQc8GKiEid1aVLFxYuXHhE3e7du9myZQsnnngiBQUFRfX79++vtus2btwYgKioqKL3heX8/Hyio6Pp378/zzzzTLVdU2qeEr8K2Lp1K9F7dxG/UT27ghK9N5etW/Np104NL1IzSs5AbGaPA/8b8PDPh4CbSh7n7rOAWQApKSnqqi4iIsd1ySWXMH78eObOncuIESM4fPgwd911F6NGjeK0005j5syZFBQUsHXrVt5///2i42JjYzl06BCxsbH07duXX/ziF4wbN46EhAR27txJq1atuPDCC3n22We54YYbmDdvHr179y53XBdccAGjR48mOzubTp06sWfPHrZu3cpPfvKTSPwaJEICXcdPRKQ2K20GYnf/1t0Pu3sB8ATw0yBjFBGR+sPMePHFF1mwYAGdO3fmJz/5CXFxcaSnp9OrVy8SExPp0qULY8eOpXv37kXHpaamkpSUxPDhw+natSv33nsvP//5zznnnHMYN24cABkZGTz99NMkJSXx17/+tWjsX3m0adOG2bNnc/3115OUlETPnj3ZuHFjtX9+iSyrT3OmpKSkeGZmZsTOn5aWxprPv2XfmZrELyjxGxdz3mltATjwZSYTu5dcAlJqQvra5jQ+NaVC/2hUlpmtcfeUiF/o6OsaMAfY6e53FKs/OTz+DzO7Ezjf3YeVda5I35tEpOYFdW+qTro3VZ9PPvmEs846K+gw6jT9DqvPse5P6uopIlK6whmIPzKzrHDdROB6M0sm1NVzM3BrEMGJiIiIVIQSP6mztuRFk762edBhVMq3e0O9rNs2KTjOnrXTlrxoOgcdRISVMQOxBvmKiIhInaPET+qkTp06BR1ClRzMzgag8al183N0pu7/DUREREQaEiV+UieNGTMm6BCqJC0tDaBGxsiJiIiIiGhWTxERERERkXpOiZ+IiIiIiEg9p66eIiIiIiLV6PZxv2Xbjp3Vdr6TWrdixsN/KHMfM2PcuHE89NBDADz44IPk5eUxefLkaosDID09nYkTJxaVL7zwQt59991qvYZEhhI/EREREZFqtG3HTj5r+/PqO+G3bx53l8aNG/PCCy8wYcIEWrduXX3XLqFk4qekr+5QV08RERERkTouJiaG1NRUHnnkkaO2bd++nV/+8pf06NGDHj168I9//KOovn///nTt2pVbbrmFU089lR07dgBw9dVXc95559G1a1dmzZoFwPjx49m3bx/JyckMHz4cgKZNmwIwbNgw/va3vxVdc9SoUSxcuJDDhw/z29/+lh49epCUlMSf//zniP4e5NiU+ImIiIiI1AOjR49m3rx57Nq164j6tLQ07rzzTlavXs3zzz/PLbfcAsD9999P3759Wb9+Pddeey1btmwpOuapp55izZo1ZGZmMn36dHJzc5k6dSrx8fFkZWUxb968I64xdOhQnnvuOQAOHjzIG2+8wZVXXsmTTz5JixYtWL16NatXr+aJJ57giy++iPBvQkqjrp4iIiIiIvVA8+bNGTFiBNOnTyc+Pr6ofvny5WzYsKGovHv3bvLy8njnnXd48cUXARgwYAAtW7Ys2mf69OlF27766is2bdpEQkLCMa99+eWXk5aWxoEDB1iyZAkXXXQR8fHxLFu2jHXr1rFw4UIAdu3axaZNm0hMTKzWzy7Hp8SvgqL37iR+4+Kgw6iUqP27ASiIax5wJJUXvXcn0DboMERERERqpTvuuIPu3btz4403FtUVFBTw3nvvERcXV65zrFy5kuXLl7Nq1SqaNGlCnz592L9/f5nHxMXF0adPH5YuXcr8+fMZNmwYAO5ORkYGl112WeU/lFQLJX4V0KlTp6BDqJLs7O8B6HRaXU6c2tb5v4OIiIhIpLRq1YrrrruOJ598kptuugmASy+9lIyMDH77298CkJWVRXJyMr169eK5557jnnvuYdmyZXz33XdAqFWuZcuWNGnShI0bN/Lee+8VnT82NpZDhw4RGxt71LWHDh3KX/7yFzIzM5k9ezYAl112GY8//jh9+/YlNjaWTz/9lHbt2nHCCSdE+DchJSnxq4AxY8YEHUKVpKWlAfDYY48FHImIiIhI/XVS61blmomzQuergLvuuosZM2YUladPn87o0aNJSkoiPz+fiy66iJkzZzJp0iSuv/56/vrXv9KzZ09+9KMf0axZMwYMGMDMmTM566yzOOOMM7jggguKzpWamkpSUhLdu3c/apzfpZdeyg033MDgwYNp1KgRALfccgubN2+me/fuuDtt2rThpZdeqvwvQypNiZ+IiIiISDU63pp7kZCXl1f0vm3btuzdu7eo3Lp1a+bPn3/UMS1atGDp0qXExMSwatUqVq9eTePGjQF47bXXSr3OtGnTmDZtWqnXjY2NZefOI9cvjIqKIj09nfT09Mp9MKk2SvxERERERBqgLVu2cN1111FQUECjRo144okngg5JIkiJn4iIiIhIA9S5c2c++OCDoMOQGqJ1/EREREREROo5JX4iIiIiIiL1nBI/ERERERGRek6Jn4iIiIiISD2nyV1ERERERKrRxLtuZ9eOb6vtfC1atyX9oRll7hMdHU23bt3Iz8/nrLPOYs6cOTRp0qTc1/j6668ZO3YsCxcuJCsri6+//porrrgCgEWLFrFhwwbGjx9fpc8hwVLiJyIiIiJSjXbt+JZ7Tt9Ybeeb9tnx94mPjycrKwuA4cOHM3PmTMaNG1fua/z4xz9m4cKFAGRlZZGZmVmU+A0aNIhBgwZVOG6pXdTVU0REApeZmUnfvn1Zs2ZN0KE0aNnZ2Vx55ZVkZ2cHHYpIrXDdddfRp08frr/++qBDqZDevXuTnZ3Nzp07ufrqq0lKSuKCCy5g3bp1ALz55pskJyeTnJzMueeey/fff8/mzZs5++yzOXjwIL/73e+YP38+ycnJzJ8/n9mzZ3P77beza9cuTj31VAoKCgDYs2cPp5xyCocOHeKzzz5jwIABnHfeefTu3ZuNG6sv8QUYNWoUffr04ZZbbqnW8zYkgSR+ZjbAzP5lZtlmdlSbsZk1NrP54e3/NLOOAYQpIlKq493DpOImT55MQUEBkyZNCjqUBm3KlCns2bOHKVOmBB2KVJLuT9Vr27ZtAHzzzTcBR1J++fn5vPbaa3Tr1o1JkyZx7rnnsm7dOtLT0xkxYgQADz74IH/84x/Jysri7bffJj4+vuj4Ro0a8cADDzB06FCysrIYOnRo0bYWLVqQnJzMm2++CcCrr77KZZddRmxsLKmpqWRkZLBmzRoefPBBbrvttmr9XJs3bwbQg6kqqPHEz8yigT8ClwNdgOvNrEuJ3W4GvnP3TsAjwLSajVJEpHTlvIdJBWRmZpKXlwdAXl6eWv0Ckp2dXfTFavPmzfpyVQfp/lS9rrvuuiPKtb3Vb9++fSQnJ5OSkkKHDh24+eabeeedd7jhhhsA6Nu3L7m5uezevZtevXoxbtw4pk+fzn/+8x9iYso/+mvo0KHMnz8fgGeffZahQ4eSl5fHu+++y5AhQ0hOTubWW2+t1mR51KhRR5TV6lc5QYzx+ymQ7e6fA5jZs8BgYEOxfQYDk8PvFwIzzMzc3Wsy0JqWkZER0X9oC8+dlpYWsWsAdOrUiTFjxkT0GpFWH/4W9eHvUEuV5x4mFTB58uQjypMmTeLVV18NJpgGrGQr35QpU5g9e3YwwUhl6f5UjQpb+wrV9la/4mP8jmf8+PFceeWVLF68mF69erF06VLi4uLKdeygQYOYOHEiO3fuZM2aNfTt25c9e/Zw4oknlvv6FVX4UKqQHkxVThBdPdsBXxUr54TrSt3H3fOBXUBCaSczs1QzyzSzzO3bt0cg3PojPj7+iKZ8CY7+FnVaee5hujdVQGFr37HKUjNKfrEqWZY64bj3J92bGpbevXszb948AFauXEnr1q1p3rw5n332Gd26deOee+6hR48eR43Ha9asGd9//32p52zatCk9evQgLS2NgQMHEh0dTfPmzUlMTGTBggUAuDsffvhhZD+cVFidn9XT3WcBswBSUlLqdIugWmdqD/0tpKrq070p0po2bXpEste0adMAo2m4OnbseESy17Fjx8BikcjRvalmtGjdtlwzcVbkfJUxefJkbrrpJpKSkmjSpAlz5swB4NFHH+Xvf/87UVFRdO3alcsvv/yIFs2LL76YqVOnkpyczIQJE44679ChQxkyZAgrV64sqps3bx6//vWvmTJlCocOHWLYsGGcc845lYpbIiOIxG8rcEqxcvtwXWn75JhZDNACyK2Z8EREylSee5hUwOTJk/nNb35TVL7//vsDjKbhuu+++44YN3PfffcFGI1Uku5P1eikk046orvnySefXO5jj7fmXiSU1luiVatWvPTSS0fVZ2RkHFXXsWNHPv7446LjVq9efcT24uPsrr32WkqOwEpMTGTJkiWViPz4Sj6Y6tSpU0SuU98F0dVzNdDZzBLNrBEwDFhUYp9FwMjw+2uBFfV9fJ+I1BnluYdJBaSkpBS18jVt2pTzzjsv4Igapk6dOhW18nXs2FFfrOom3Z+q0XPPPXdE+ZlnngkoEik53vgvf/lLMIHUcTWe+IXH7N0OLAU+AZ5z9/Vm9oCZFa4M+SSQYGbZwDhA0xGLSK1wrHtYsFHVfZMnTyYqKkqtfQG77777OOGEE9TaV0fp/lT9TjrpJKBirX0SGYUPpvRQqvKsPjWkpaSkeGZmZtBhiEg1MrM17p4SdBxVoXuTSP2je5MU98knn3DmmWdiZkGHUie5Oxs3buSss84KOpR64Vj3p0AWcBcRERERqS/i4uLIzc09atybHJ+7k5ubW+7lJKTy6vysniIiIiIiQWrfvj05OTloiYzKiYuLo3379kGHUe8p8RMRERERqYLY2FgSExODDkOkTOrqKSIiIiIiUs8p8RMREREREannlPiJiIiIiIjUc/VqOQcz2w58GXQcUiNaAzuCDkJqxKnu3iboIKpC96YGRfemhkP3JqlLdG9qWEq9P9WrxE8aDjPLrOvrJ4lI/aN7k4jURro3Cairp4iIiIiISL2nxE9ERERERKSeU+InddWsoAMQESmF7k0iUhvp3iQa4yciIiIiIlLfqcVPRERERESknlPiJyIiIiIiUs8p8RMREREREannlPiJiIiIiIjUc0r8RERERERE6rn/H6oPkj3dmksQAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "fig, axes = plt.subplots(1,3, figsize = (15,5))\n",
    "\n",
    "# The `hue` parameter tells pandas to stratify the plots based on the values of that variable\n",
    "# We can use any column for x, y, and hue, but we must always tell which Data Frame is referenced \n",
    "# using the `data` parameter\n",
    "sns.boxplot(x=[\"\"]*len(df), y = 'Pregnancies', hue = 'Outcome', data = df, ax = axes[0])\n",
    "sns.boxplot(x=[\"\"]*len(df), y = 'Glucose', hue = 'Outcome', data = df, ax = axes[1])\n",
    "sns.boxplot(x=[\"\"]*len(df), y = 'BloodPressure', hue = 'Outcome', data = df, ax = axes[2])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, the distributions of the **Pregnancies** and **Glucose** variables are quite different depending on the **Outcome** for diabetes. This means that these variables are **associated** with each other, and that they will probably be useful if we need to estimate the odds of a patient testing positive for diabetes. Keep in mind, though, that this does not necessarily mean that they cause diabetes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A second useful visual aid is the **quantile-quantile plot (QQ plot)**. The goal here is to compare an observed series with a teorical one in terms of quantiles. If both distributions are the same, the QQ plot will follow a straight line.\n",
    "\n",
    "QQ plots are useful to check if a given attribute follow a known distribution (line Gaussian or Poisson). It can also be used to see if the attributes in the train and test sets follow the same distribution.\n",
    "\n",
    "We can plot QQ plots using the ``problot()`` method of the ``scipy.stats`` library. The ``dist`` parameter defines what distribution we are trying to compare our data with. This distribution is plotted as a straight line in the charts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import scipy.stats as stats\n",
    "\n",
    "fig, axes = plt.subplots(1,3, figsize = (15,5))\n",
    "\n",
    "# comparing attributes with a Gaussian (normal) distribution\n",
    "stats.probplot(df[\"Insulin\"], dist = 'norm', plot = axes[0])\n",
    "stats.probplot(df[\"Glucose\"], dist = 'norm', plot = axes[1])\n",
    "stats.probplot(df[\"BloodPressure\"], dist = 'norm', plot = axes[2])\n",
    "\n",
    "axes[0].set_title(\"Insulin\")\n",
    "axes[1].set_title(\"Glucose\")\n",
    "axes[2].set_title(\"BloodPressure\")\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see the plots above, the glucose and blood pressure attributes follow a distribution that is somewhat close the normal. The are some discrepancies in the right and left ends, but most of the range falls on the line with the expected values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.3.2 - Measuring and Visualizing Associations in Data\n",
    "\n",
    "Besides box and QQ plots, there are several other visualization techniques that allow us to detect associations in our data. Let's view some other examples, explaining the idea behind them, how to use them in Python, and how to interpret the results.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Histograms and Scatter plots\n",
    "\n",
    "Histograms are graphical representations of a distribution. In the $x$ axis, the ordered values are shown, and the $y$ axis shows the number of occurences (or frequency) of each value. To make visualization simpler, histograms typically group ranges of values in bins (also called buckets), adding up all the occurrences of the values inside each bin. Like what we did in the boxplots, we can also plot stratified histograms, comparing the distribution of a variable for different categories of another variable.\n",
    "\n",
    "While histograms are usually shown for a single variable, scatter plots are visualization tools used to evaluate the relationship between two (or three) variables. Given two series $X$ and $Y$ with the same length, the scatter plot is formed with $(x_i,y_i)$ pairs of these variables.\n",
    "\n",
    "Let's illustrate these concepts with some Python code. There is more than one option for plotting histograms, and scatter plots, but we will stick to the ``pandas`` and ``seaborn`` libraries for convenience."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='SkinThickness', ylabel='BMI'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,3, figsize = (15,5))\n",
    "\n",
    "\n",
    "sns.histplot(data=df, x=\"Glucose\", ax = axes[0])\n",
    "sns.histplot(data=df, x=\"Glucose\", hue = \"Outcome\", ax = axes[1])\n",
    "sns.scatterplot(data=df, x=\"SkinThickness\", y =\"BMI\", ax = axes[2])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the histogram of the ``Glucose`` variable on the left is almost bell-shaped, but it's right half has a more disperse behavior. However, when we stratify this histogram to separate positive from negative cases of diabetes, we observe that the negative distribution is normally distributed, and the positive cases where the ones disrupting the normality of this distribution. \n",
    "\n",
    "We can also see here that the central tendencies of positive and negative histograms are clearly different, with positive patientes presenting higher levels of glucose. In predictive modeling, we say that we can **separate** the positive and negative cases with some degree of confidence using the ``Glucose`` information.  For instance, the chances of a test being positive for glucose levels close to 175 are much higher than a lower level of 75.\n",
    "\n",
    "In some cases, one or more features are capable of separating the class distributions completely. In these cases, we say that our data are **linearly separable**. However, this almost never the case for real data sets, so we should always expect some misclassifications even with very efficient models.\n",
    "\n",
    "By observing the scatter plot on the right side, we can conclude that skin thickness is associated with the body mass index. More than that, we can say that the former is **positively correlated** with the latter. In other words, when the skin thickness grows, the BMI also grows proportionally in a linear fashion.\n",
    "\n",
    "#### Association, Correlation, and Causation\n",
    "\n",
    "We've mentioned the words association and correlation when analyzing the relationships between two variabels. These terms might be new to some of you, so it is important to talk about them a little bit.\n",
    "\n",
    "Both association and correlation are terms used to express a notion of **dependency** among variables. When two variables are dependent, there is a predictability relationship between them, i.e., we gain information from one varibale by knowing about another. For instance, if we know that a person has a greater value of skin thickness, I can predict that this same person will have a greater BMI.\n",
    "\n",
    "**Association** is the term used when two variables are related to each other in some way. It simply means that they are dependent, but nothing else. Therefore, it is a more flexible, general term.\n",
    "\n",
    "**Correlation** is used when the association follows a trend, i.e., when variable $X$ changes, varibale $Y$ also changes with a consistent behavior. When both variables grow in the same direction, the correlation is said to be positive (as in the BMI-skin thickness examples). A negative correlation means that, if one variable grows, the other is reduced and vice-versa.\n",
    "\n",
    "Correlation can be measured in more than one way, but the most usual ones use the Person's correlation ($\\rho$ or $r$) coefficient and the Spearman's rank coefficient ($\\rho$ or $r_s$). Both can assume values between $-1$ and $1$, with $0$ representing uncorrelated variables. The difference between them is that Pearson is suitable when there is a **linear** correlation. Spearman can be used even the corelation is not linear, but it must be **monotonic**. The figure below shows the difference between series with association and correlation.\n",
    "\n",
    "<div>\n",
    "<img src=\"FIGS/2-pearson_spearman.png\" width=\"500\"/>\n",
    " <center> Source: Association, correlation and causation - <a href = https://www.nature.com/articles/nmeth.3587> Nature, 2015 </a> </center> \n",
    "</div>\n",
    "\n",
    "Regardless of whether our data is associated, correlated, both, or neither, we must always remember a very important lesson.\n",
    "\n",
    "<p style=\"margin:10px;\"> <span style=\"background-color:#eeeeee;padding:5px;margin:10px;border-style:solid\">  Correlation and association <strong> DO NOT </strong> imply causation!  </span> </p> \n",
    "\n",
    "This is a very recurrent statistical falacy that we always need to avoid when working with such analyses.\n",
    "\n",
    "#### Scatter Plot Matrix (Pairplot)\n",
    "\n",
    "Another tool that is available off the self is the ``pairplot()`` from the ``seaborn`` library. This plot shows the 2D scatter plots of all the numeric variables in out data set. It can be used to easily detect relationships between our variables, as well as their ditribution.\n",
    "\n",
    "The ``seaborn`` implementation allows us to stratify the data based on a category, making this plot even more informative. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1569e1d00>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1520.88x1440 with 72 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data = df, hue = \"Outcome\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By observing the pairplot, we can identify a relationship between the variables ``Age`` and ``Pregancies``, which also makes sense, as older woman are more likely to have been pregnant more times than younger ones. We can also see that there are several patients that did not have their skin thickness and blood pressure measured, which explains the large concentration of samples with at $0$.\n",
    "\n",
    "#### Correlation Matrix\n",
    "\n",
    "It is also interesting to analyze the correlation between our pairs of values, features with high correlation are usually redundant, meaning that they convey similar information to our predictive models. Therefore, we can choose to eliminate one of them or combine them into a single feature that contains the information from both.\n",
    "\n",
    "For **regression problems**, we can also compute the correaltion with the target variable. This will give us a hint of which features will likely be useful for the models that will be trained later. However, even features with low correlation still can prove useful in some cases (remember the correlation-association discussion).\n",
    "\n",
    "Plotting a correlation matrix with ``seaborn`` and ``pandas`` is quite easy:\n",
    "- first we compute the correlation with the ``corr()`` method of the pandas library. This will give us a 2D matrix containing the correlation between each pair of variables.\n",
    "- then we plot this matrix using the ``heatmap()`` function of the ``seaborn`` package, which will allow us to visualize the correlations with a color map.\n",
    "\n",
    "By default, the ``corr()`` computes the Pearson's coefficient, but other methods can be selected with the ``method`` parameter. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9BhglIsWMMYdFJCiVautCoBswAEBEqhhjtohICWPMdmC7iNQEyuKYnpDEGDMOGAcwz6+M902y9DLlShYj/FQkJyOiCAkK5O8V6/is++vp2jYyJpbcOXPi75+F8xfj2LZ7P88/0tLNEd+eciWLcvxUxPXxrVzH5293TNe2yfvNW7KS3QePeCRhBXjwkSd58BFHcrVx3Wr+nPsL9Rs3Y//eXWTPkYPAINcv/MCgYLJnz86+PTspVaY8S/9ZkJScBQZZ2bl9C/dVqsr2rZvIl99x+DwqMoKBfT+m27sfkb9AoQwe3xM8+MgTLuNr4DI+18QuMMjqMr5l/yzgwUefSmrftnkjBQoWxhp8fZrBl/2/Tbr/0w+TyZo1W4YmrABlSpfixImTnD59GqvVytLly/ngvZ4uferUrs2ixYspX64s/65YSeVKla4VHlIVbLVy7Nhxzp47R57cudm0eQuFCmXs6/fwo4/x8KOPAbB+3Rrm/fE7jRrfz969u8meIwdBN7x+Qc7Xb8+eXZQpU44lixfxSOvHATh5IjxpSsfaNasoWNAxlgmTr5+QNXRwf2rWquOxhBXAHnEcnzzBSK4gzMVz+JauypW/vnfpI9kDMJcuAOBbvAL2WMePsSsLfkjq41uuJpawgpkyYQWQTFT5didNWt1rAo7D+5vE8WkYBTwOzAaa4TiUfxzYBNzq+EV/YKqIfAzc8l1njIlyVkN/EREfIBK4cQLWW8BIEdmG4//CchxXQeguIvcDdmAn8OctR5oBqkwbhLVxLbIEB9L08DL29xnB8cmZ4/Ccr8XCOx1eoscXg7DZ7TzStCHFCxdg/I+/UrZkURrWrMquA4f48JtvuRAXx4oNW5g44zd+GNaXI+GnGDFlBiKCMYYXWreiRJGM/bK8FV+LhXdfe5HufYdit9t55P76FC9UgHEzfqNciaI0rFmFXQcO88GAUY7xbdzKhJlzmD6kj6dDT1O1mnXYtGE1XTu8gL+/P2/2+DCprWfX9gz8dhIAHd58h5FDvib+6lWq1qhN1RqOqz90fqsXk8cOx2a34eeXhde7vQfAzz9O4cL5c0wYNQQAH4uF/sPGZ/Doro1vDV06vIi/vz9denyQ1PZu19eSLl/V8c0efDukX9L4qtW4Pgd3xfJ/XKYGeAuLxUKXNzrzv08+xW6307JFc4oWKcLUad9TulQp6tapTauWLeg/cDDtOnQiICAn/+vVK2n7Nq++RtylSyQmJrJ69Rq++rIPRQoX5qUXX6Bnrw/w9fUlNDSEnj26e2yMNWrWZuP6dbz+Whv8/f15q8d7SW1vd32dYd+OBaDzm28xbMgA4q9epVqNWlSv4biiw9TJEzhxIhwRITQ0jDe7dvfEMG7N2Lmy9BeyP94JREjYtQ57bARZ6jyALSIc2+Gd+FVp6Dg5y27HXLnElUUzPB21chPxxjOR/z8QkZzGmIsiYgXWAfWd81sznf96pbXO5smeDsFtxG7zdAhudSJ7yuuO/pcI/+m3HjlJ+8So/4Krks3TIbhN/rlDPR2CWwW8PShDj9dvatbALW/2aotXZKp5B1pp9Zy5IpIHyAJ8kVkTVqWUUkqpjKBJq4cYY5p4OgallFJKeb/MeHkqd9CkVSmllFLKi2XGv17lDno6mlJKKaWU8npaaVVKKaWU8mJ6ySsHfRaUUkoppZTX00qrUkoppZQX0zmtDpq0KqWUUkp5Mb16gINOD1BKKaWUUl5PK61KKaWUUl5Mpwc4aKVVKaWUUkp5Pa20KqWUUkp5Mb3klYM+C0oppZRSyutppVUppZRSyovpnFYHTVqVUkoppbyYJq0OOj1AKaWUUkp5Pa20KqWUUkp5Ma20OmilVSmllFJKeT2ttCqllFJKeTG95JWDJq1KKaWUUl7Mx6LTA0CnByillFJKqVSISCsR2SsiB0Tkg1Tah4jIFudtn4icTdZmS9Y2517Eo5VWpZRSSikv5okTsUTEAowEWgDhwHoRmWOM2XWtjzGmR7L+3YCqyXZx2RhT5V7GpJVWpZRSSil1o1rAAWPMIWNMPDADeOwm/V8AfnRnQFppVXetzubJng7BrdZUfdXTIbhNvQ3jPB2CWwXZIz0dgltZD6/zdAhulZgn1NMhuFV89kBPh+A2lmp1PB3Cf4q7TsQSkU5Ap2Srxhljrn0xFACOJ2sLB2qnsZ8iQDHgn2Srs4rIBiAR6GeM+e1u49WkVSmllFLKi7lreoAzQb0X1YvngZ+NMbZk64oYY06ISHHgHxHZbow5eDcPotMDlFJKKaXUjU4AhZItF3SuS83z3DA1wBhzwvnvIWAprvNd74gmrUoppZRSXkx8xC23W1gPlBKRYiKSBUdimuIqACJSFggEVidbFygi/s77wUB9YNeN294unR6glFJKKaVcGGMSRaQrsACwAJOMMTtFpA+wwRhzLYF9HphhjDHJNi8HjBURO44Cab/kVx24U5q0KqWUUkp5MU/9RSxjzHxg/g3ret+w/Fkq260CKt7reHR6gFJKKaWU8npaaVVKKaWU8mKe+OMC3kiTVqWUUkopL+ap6QHeRp8FpZRSSinl9bTSqpRSSinlzUSnB4BWWpVSSimlVCaglVallFJKKS+mJ2I5aNKqlFJKKeXF9EQsB30WlFJKKaWU19NKq1JKKaWUF9PpAQ5aaVVKKaWUUl5PK61KKaWUUl5M57Q6aNKqlFJKKeXFdHqAg6buSimllFLK62mlVSmllFLKi2ml1UErrUoppZRSyutppVUppZRSypvpiViAJq1eRUTCgCFAHeAMEA/0d97vaYx5xIPhud2azdsZOmk6NrudR5s1os2TD7u0b965l2GTp3PwaDifv9OZpnVrAnAqMpoP+4/AGENioo2nH2rOEw/c74kh3LFK478i9KEmxEfGsLzqo54O546s3rKDIZN/wm6307pZA9o8/qBL++Zd+xgy9ScOHj3BF9070rRO9aS2es+9TonCBQAICw5i4PtdMzT21KzbuJlvx0/GbrfzUItmvPjMEy7t8QkJ9Bs8gn0HD5ErICe9e71D3rBQTkdE0u7N7hQqkB+A8mVK0aPL61y6dJm3P/gkafuo6Bia39+Irh1fzdBxpWblrkN888ti7HbDE3Ur8VqLOi7tM1ds5qd/N2Px8SGbvx+9n3uAEvmC2X70FF/MWACAMYbOD9anWeXSnhjCTa3atoeB3/+OzW7n8ca1efXRpi7t3/+5jN+WrcVisRAYkINPOzxLvuAg9h49wddTfiHuyhV8fHx47dFmtKxTxTODuInVm7czdPKP2OyG1s0a0uaJh1zaN+/ay9DJMzh4NJw+PV6nad0aLu1xly7zQvdPaFSrKj07vJSRoafLyh37GPDjfOx2O483rE77hxq7tE9buJJf/92Ar4+P4/V79QnyWwMBOBVzlj5TfyUi9jwIfPt2G/IHB3piGOoe0KTVS4iIAL8BU40xLzrXFQFa40ha/9NsNjsDx09jWO+ehFqDeO39PjSsWYVihQok9ckbYuXjrh2YPucvl22DA/Mw7uuPyeLnx6XLV3i5x8c0qFmFkKDM88EUPvUXjoz6niqTvvF0KHfEZrczcOJ0hn/cg1BrIK9++BUNa1SmWMH8SX3CgoP45M1Xmf7HwhTb+2fJwrQBvTMy5Juy2WwMGzOBAV/0JsQaxBvvfEC92jUoWrhQUp8/Fy4mIGcOvh/3Lf8sX8G4Kd/T+/13AMifN4zxwwe67DN79mwu617v3ouGdWtnzIBuwma389Wsvxnb5VnC8gTw4sDvaHJfSUrkC07q81D18jzboCoAS7fvZ+CvSxj95jOUzBfM9J5t8LX4EHXuIs98M4XG95XE1+I9VSGb3U6/735lVK9OhAXl5pVPh9G4WnmKF8ib1KdMkQJM+7w72fyzMGvxKobNmEe/rq+QNUsW+rz+PIXzhhB15hwv9R5K3YplCMiRzYMjcmWz2Rk04QeG9X6X0KBA2n/wBQ1rVKFYoevvvbzBVj7p0p4f5ixIdR/jZvxKlfLe92MDnK/fD38w+p1XCQvMxUtfjqFxlXKUyB+a1Kds4Xz88PEbZPPPwswlaxk2awHfdH4egE8m/kyHh5tQp0JJLl25iuOrNvPJrHHfa97zyaKaAvHGmDHXVhhjjhpjRiTvJCKfiUjPZMs7RKSo834bEdkmIltFZJpzXVER+ce5frGIFHauf8a57VYRWe5cZxGRASKy3tn/dfcP22HXgUMUzBtKgbyh+Pn50rxBLf5dv9mlT77QYEoWLYTPDW9ePz9fsvj5AZCQmIgxJqPCvmdiV2wgIfacp8O4Y7sOHHa8fmEh+Pn60qJeTZav3+rSJ39oMKWKFMwUH7579h+gQL685M8bhp+fH00b1WfV2vUufVauXU/LZk0AaFy/Lpu2bk/3/73jJ05y9tw5KlUod69Dv207jp6iUEgeCgbnwc/XQqtq5Vi6/YBLn5zZ/JPuX45P4NpLmC2LX1KCejUxEW98aXcePEahUCsFQ634+frSsk4Vlm7a6dKnZvmSZPPPAkDFEkWIPON4LxbJF0LhvCEAhATmJihXTs5cuJixA7iFpM/OsBDHZ2f9WixP67MzlZN59hw8QuzZ89SuXD6jQr4tOw6HO16/kCD8fH15oFZFlm7Z7dKnZtniSa9fpRKFiDhzHoCDJyOx2e3UqVASgOxZ/ZP6ZTbi4+OWW2ajlVbvUQHYdKcbi0gF4GOgnjEmWkSCnE0jcFRvp4pIe2A48DjQG3jAGHNCRPI4+74GnDPG1BQRf2CliCw0xhy+07jSKyr2DGHBQUnLIUFB7Np/MN3bR0TH0LPvUMJPR9K1zbOZqsr6XxAVe5ZQ6/XXL9Sah5370//fJj4hgXYf9MVi8aHNY61oXKuqO8JMt+iYWEKDr1cag61Wdu/bn2Yfi8VCjhzZOX/+AgCnIyLp9HZPsmfLTvtXnqdSBdeEYMnylTRpUM8rEvjIsxfJmycgaTk0TwDbj55M0W/G8k1MW7KBBJuN8V2fS1q/7chJPp3+J6diz9P3lYe9qsoKEHnmHGHWPEnLYUF52HHwaJr9f1++lnqVyqZYv+PgMRISbRQMtbojzDsWFXuW0ODk773AdL/37HY7w6fO5LO3O7B+2y53hXhXIs+cJywwd9JyWGAudhwKT7P/b/9upH7FUgAci4gmIHs23h05nRPRZ6hdvgRvPdUSSyZM1pSDvnJeSkRGOqug62/dG3BUamcZY6IBjDGxzvV1genO+9OABs77K4EpItIRsDjXtQTaiMgWYC1gBUqlEV8nEdkgIhumzvr9NkbmHmHBVqYN+YKZI/sxf+lKYs9m3qrl/0e/jvqaKf0+os9bHRgydSbhpyM9HdIdCwoK5MdJYxg3bCBvdmhL34HDiLt0yaXPkn9X0qxxgzT24J2eb1SNeZ92onvrxoxfuDppfaWi+fn1f68xvWcbJi5aw9WERA9GeXfmr9zIrsPhtHmoicv6qLPn6T32Rz7r+Bw+/6GEZ/aCJdSrVtHlB2dmNm/1FnYdPUHbBxoCkGizs3n/EXo824rvP+5MeFQsc1becW3Io8RH3HLLbLTS6j12Ak9dWzDGdBGRYGDDDf0Scf2xkfVOHswY01lEagMPAxtFpDogQDdjTOoTn1y3HweMA4jZsequj8eHBAUSER2btBwVG0uI9farpSFBgRQvXIAtu/clnail3C8kKA+RMddfv8iYs7dV7Q519i0QFkK18qXZd+Q4BfOG3mIr9wm2BhEZHZ20HB0TQ8gNX+zX+oQEW7HZbMTFXSJXrgBEJGm6SumSJcifN4zwEycpU8pxiPLg4SPYbDZKlyyRcQO6idA8OTl99kLScuTZC4TlDkizf6tq5eg7M+W85OJ5rWT3z8KBU1FUKJzPLbHeidDA3ETEnE1ajog9S0iyyt01a3fsY+KcxYz/6A2y+F3/arx4+QpvD5rIm0+3omLJIhkR8m0JCcpDZHTy994ZQoLypGvbHXsPsnXPfmYvWMLlK1dJSEwke1Z/3nz5aTdFe/tCA3MRceZ6ESLizHlCAnOl6Ldm1wEmzlvGhF6vJb1+YYG5KV0oHwVDHO/d+6uWY/tNqrTK+/13fjJmfv8AWUXkjWTrsqfS7whQDUBEqgHFkm3/jIhYnW3XvmFXAc87778E/OtsL2GMWWuM6Q1EAYWABcAbIuLn7FNaRHLcm+HdXLmSxQg/FcnJiCgSEhL5e8U6GtRI3yHiyJhYrl6NB+D8xTi27d5Pkfx5b7GVupfKlSjK8VORnIyMJiExkUWr1tOwRuV0bXv+YhzxCQkAnD1/gW17D1KsoGeTnrKlSnLi5ClOnY4gISGBf5avpG4t1x9B9WrXYOHipQAsW7maqpXuQ0Q4e+4cNpsNgJOnIwg/eZp8ecOStlu8bAVNG3lPlbVC4XwcizpDeMxZEhJt/LVpN40rlnTpczTyelK0fOdBCoc4fmSEx5wl0WYH4GTsOY5ExJA/KGVC6EnlixfieEQ0J6JiSEhMZOGaLTSuWsGlz54jJ+g7ZTZDerxKUK7rCXtCYiI9h03hkfrVaV4rff+fM1q5ksU4firi+mfnynU0rFklXdt+3r0Tv40ZwK+j+9OtzTM82LieVyWsABWKFuBYRAwnomJJSExkwbrtNKnsOn1jz7GT9J32O0O6vURQrpzXty1WgAuXrhB7IQ6A9bsPUTxfSIbGf8/4+LjnlslopdVLGGOMiDwODBGRXjgSyTjg/Ru6zsZxCH8njkP4+5zb7xSRvsAyEbEBm4F2QDdgsoi859zntevrDBCRUjiqq4uBrcA2oCiwyXk1gygc81/dztdi4Z0OL9Hji0HY7HYeadqQ4oULMP7HXylbsigNa1Zl14FDfPjNt1yIi2PFhi1MnPEbPwzry5HwU4yYMgMRwRjDC61bUaJIoVs/qBepMm0Q1sa1yBIcSNPDy9jfZwTHJ//s6bDSzddioWf7F3i771DsdjuP3F+f4oXyM+6n3ylbogiNalRh14EjvD9wFBfiLrFi4zbGz5zDj4M/58iJ03wzbhri44Ox22nzeCuXqw54gsVioVvnDrz/6ZfY7HYebN6UYkUKMfn7GZQuVYL6tWvyUItmfDV4OC936kpAzpx80qsHANt27GbyDzPw9fVFROjRpRO5Aq4nQstWrOLrTz/y1NBS8LX48OHTzXlj1CzsdsPjdSpSMl8wI+f9S4XCeWlSsRQz/t3Mmr1H8LNYCMjmzxcvOy5Ht/ngCSb9PRs/iwUR+N+zLQnMmdpvbc/xtVjo1eYJuvYfj80YHmtUkxIF8zJ69l+UL1aIxtUqMGzGXC5fucr7304DIK81D0N6tGfR2q1s2nuIcxcv8ccKx0Gvzzo+R5kiBW72kBnK12Lh3Q4v0f3LIY73XtMGFC9UgHEzfqNciaI0rFmFXQcO80H/kc7Pzq1M+Ol3pg/9wtOhp4uvxcL7Lz7Cm0OnYrfbeax+dUoUCGPUb39TvmgBmlQpx5BZf3HpSjy9xswAIG9QHoZ1exmLjw/vPNOKzgMnYYByRfLzZKMaN39AL5UZD+W7g2TGM62Vd7kX0wO82Zqqnr+OprvU2zDO0yG41aVs/425emmxHl7n6RDcKjGP56aIZIT47P/dE0aznj3l6RDcKnvDZzI0i4z98nW3fM8GfTw2U2XDWmlVSimllPJiIpnvUL476LOglFJKKaW8nlZalVJKKaW8mc5pBTRpVUoppZTyapnxr1e5gz4LSimllFLK62mlVSmllFLKi+klrxy00qqUUkoppbyeVlqVUkoppbyZXvIK0EqrUkoppZTKBLTSqpRSSinlxXROq4MmrUoppZRS3kwveQXo9ACllFJKKZUJaKVVKaWUUsqLiej0ANBKq1JKKaWUygS00qqUUkop5c10TiugSatSSimllFfTqwc4aOqulFJKKaW8nlZalVJKKaW8mf5FLEArrUoppZRSKhPQpFUppZRSypv5iHtutyAirURkr4gcEJEPUmlvJyJRIrLFeeuQrK2tiOx33trei6dBpwcopZRSSnkx8cD0ABGxACOBFkA4sF5E5hhjdt3Q9SdjTNcbtg0CPgVqAAbY6Nz2zN3EpJVWpZRSSil1o1rAAWPMIWNMPDADeCyd2z4ALDLGxDoT1UVAq7sNSCut6q6J3ebpENyq3oZxng7BbVbV6OTpENyq0aohng7Brc4VruLpENwqV8Q+T4fgVnFBJTwdgtv4+0Z7OoT/Fjdd8kpEOgHJvwjGGWOufekVAI4nawsHaqeym6dEpBGwD+hhjDmexrYF7jZeTVqVUkoppf4fciaod1OZ+QP40RhzVUReB6YCTe9JcKnQ6QFKKaWUUl5MfHzccruFE0ChZMsFneuSGGNijDFXnYsTgOrp3fZOaNKqlFJKKaVutB4oJSLFRCQL8DwwJ3kHEcmXbLE1sNt5fwHQUkQCRSQQaOlcd1d0eoBSSimllDeTjP8zrsaYRBHpiiPZtACTjDE7RaQPsMEYMwd4S0RaA4lALNDOuW2siHyBI/EF6GOMib3bmDRpVUoppZTyZrc+lO8Wxpj5wPwb1vVOdv9D4MM0tp0ETLqX8ej0AKWUUkop5fW00qqUUkop5c08MD3AG2mlVSmllFJKeT2ttCqllFJKebF0XJ7q/wVNWpVSSimlvJlo0go6PUAppZRSSmUCWmlVSimllPJmPnoiFmilVSmllFJKZQJaaVVKKaWU8mKic1oBTVqVUkoppbybTg8AdHqAUkoppZTKBLTSqpRSSinlzXR6AKCVVqWUUkoplQlopVUppZRSypuJzmkFrbQqpZRSSqlMQCutSimllFLezEdrjKBJq1JKKaWUd9MTsQBNWlMQERuwHRDABnQ1xqwSkaLAXGPMfffgMZYCPY0xG0TkCHABMMBpoI0x5vTdPkZmtHrzDoZO/hGb3U7rZg1p88RDLu2bd+1j6JQZHDwaTp/unWhat4ZLe9yly7zQozeNalahZ4eXMjL0dFm9ZQdDJv+E3W6ndbMGtHn8QZf2zbv2MWTqTxw8eoIvunekaZ3qSW31nnudEoULABAWHMTA97tmaOx3q9L4rwh9qAnxkTEsr/qop8O5I6u27mbgtF+x2w2PN6lNu9bNXdq/n7+U35euwWLxITAgJ707PU++4CAAun0zlu0Hj1CldHGG9uzoifBTWLtpK8MnfIfdbufhFvfz8lOtXdrjExLoO3Q0+w4eJldATj7r+Rb5wkJITEzkm5Hj2XfwCDa7jVZNGvLy048BMOuPP5m7aAnGGB5p0ZRnWz+Y2kNnuJU79tN/5l/Y7XaeaFCN9q0aurRPW7SKX1duwuLjQ2DOHHzW9jHyW/MAMGT2Qv7dvh9jDHXKFafXcw8iXjC/cN3GTYwaNxG73c6DLZvzwjNPubTHJyTwzeBh7D9wkFwBAXz8fk/yhoUmtUdERvHam2/R5sXnePbJxwEYMHQEa9dvIE/u3EwYNTwjh3NTK7ftZeD0Odjshica1eTVR+53af/+r+X8uny94/ULyMGnrz1D/uDApPaLl6/w9P8G0aRaBT545fEMjl7dS5q6p3TZGFPFGFMZ+BD4OgMe835jTCVgA/C/5A3ikCGvk4h47EeMzWZn0MQfGPxRd34c8gWLVq7j8PGTLn3yBgfxSZdXadGgdqr7GDfjN6qUK5UR4d42m93OwInTGfK/t/hxyOcsXLmew+Gu4wsLDuKTN1+lZYNaKbb3z5KFaQN6M21A70yXsAKET/2FdY908HQYd8xmt/PN1NkM79WJWf3fZ8GazRw64frbsmzRAkz74h1mfN2LZrUqM/zHP5LaXnn4fvp09p4fUjabnSFjJzOgdy++GzGAxf+u4sjxcJc+8xYtJSBnDn4cM4RnWz/ImO9+BGDJyrUkJCQwdfg3TBjUlzkLFnMqIopDR48zd9ESxg74gklD+7F6wybCT3n+97fNbufrH+czsttL/PJZF/5av4ODJyNd+pQtnI8f/teJWb3fpHn18gydvQiALQePseXgcWb1foOfP32TnUdOsmHfEQ+MwpXNZmPE6HF89fknTBw1nCXLVnD02HGXPn8u/JuAHDn4bvxonnrsUcZP+c6lfcyEydSqXtVl3QPNm/L1573dHv/tsNntfDPtN0a8057ZX73DX2u3cuhEhEufMkUK8P2n3Zj5ZQ+a16zIsJnzXdpH/7KQamWKZ2TY956PuOeWyWjSenO5gDM3rhSRrCIyWUS2i8hmEbn/FuuzicgMEdktIr8C2dJ4vOVASREpKiJ7ReQ7YAdQSETeE5H1IrJNRD537jeHiMwTka0iskNEnnOu7yciu5x9BzrXTRGRp5ON4aLz3yYi8q+IzAF2iYhFRAYke6zX79FzeVO7DhymYN5QCoSF4OfnS/P6tVi+YYtLn3yhwZQsUgifVKocew4eIfbceWpXrpAR4d42l/H5+tKiXk2Wr9/q0id/aDClihT0iirOvRa7YgMJsec8HcYd23nwGIXCgikYGoyfry8t61Rl2cYdLn1qlC9FVv8sANxXsggRsWeT2mrdV5rsWbNmZMg3tXv/AQrkCyN/3jD8/Hxp1qAuK9ZudOmzYt0GWt3vqEg2rlebTdt2YIxBRLhy5SqJNhtXr8bj6+dLjuzZOBp+gnKlSpLV3x9fi4UqFcqxfPV6TwzPxY7DJygUGkTBkCD8fH15oMZ9LN2616VPzTLFyJbF8dpVKlaQiLPnARCE+IREEhJtxCcmkmizYc2VM8PHcKO9+/aTP18+8ufNi5+fH00aNWDlmnUufVatWUfLZo6KZKMG9di8dRvGGABWrl5L3ryhFClc2GWbSvdVICAgIGMGkU47Dh2nYJiVgqFWx+tXuzJLN+9y6VOzXAmyOd97FUsUJjLZZ82uI+HEnLtAnQreWdBQt0eT1pSyicgWEdkDTAC+SKVPF8AYYyoCLwBTRSTrTda/AVwyxpQDPgWqp7JPgEdwTE0AKAWMMsZUAMo4l2sBVYDqItIIaAWcNMZUdk5b+EtErMATQAVn9fbLdIy5GvC2MaY08BpwzhhTE6gJdBSRYunYx12Jij1DqPX64ZzQoECiYlL8XkiV3W5n+Hcz6dbmGXeFd9eiYs8Sag1KWg615iEqNn3jA8ehvnYf9OW1j75m2brN7ghR3UTkmbOEBeVJWg4Nyk3kmbST8N+XraVe5XIZENmdiY49Q2iwNWk5xBpEVGxsmn18LRZyZM/OuQsXaFKvFlmz+vPEq2/yTMe3eP6xh8kVkJNihQuxbfcezp2/wJWrV1mzaQuR0TEZOq7URJ49T97AXEnLYYG5iHQmpan5deUmGlQoCUDlEoWoWaYozXsNpMV7g6hboSTF84W4PeZbiY6JJTQkOGk5JNhKTIzrcx0TE0OIs4/F+fqdP3+By5cvM+PnX2jzwnMZGvOdijpzjrzJ33uBN3/v/bZ8PfUrlQEc3w1DfpxHj+cfdneY7ic+7rllMjqnNaXLxpgqACJSF/hORG6cx9oAGAFgjNkjIkeB0jdZ3wgY7ly/TUS23bC/Jc65tNuAj4E8wFFjzBpne0vn7Vq2khNHEvsvMEhEvsEx3/Zf5yH+K8BEEZkLzE3HmNcZYw4ne6xKyaqyuZ2PdTj5BiLSCegEMPiTnrR92nU+XEaavWAp9apVdEkK/2t+HfU1oUGBnIiIokufwZQoXICCeUNvvaHKcPNXbGD3oeOM+zjzTeNIj937D+Lj48Ovk0Zy4WIcXf/XhxqV76NooQK8+MSjvPvZ12TNmpWSxYrgk8nOeJ63Ziu7jp5k4ruvAnAsMoZDp6JZ2O8dADoPncam/UepVqqIJ8O8K99N/4mnHm9NtmxpHfDLvOat2sSuw+FM+LAzADP/WUP9ymVcfnBmWv/BI3B3QpPWmzDGrBaRYMDdP63vN8ZEX1sQkTxAXLJ2Ab42xoy9cUMRqQY8BHwpIouNMX1EpBbQDHga6Ao0BRJxVtadc2SzJNvNjY/VzRiz4GYBG2PGAeMAYrf9a9I5zjSFBAUSmayyGhl7hpBkldeb2bHvIFt372f2gqVcvnKVhMREsmf1582Xn771xhkkJCgPkTHXK1mRMWcJCUrf+MBReQYoEBZCtfKl2XfkuCatGSg0MI/L4f7I2HOEBuZO0W/tjr1MmrOIcR91JYuf9368BgcFulRBo2JiCQkKSrVPaLCVRJuNuEuXyB0QwKTls6ldtTK+vr4E5slNxXKl2XPgMPnzhvFIi/t5pIXjkPS4aTMIsVrxtNA8uTh95nplNeLMeULz5ErRb83ug0z4818mvtsu6bX7Z/MeKhUvSPas/gDUv68kWw8d93jSGmwNIjIq6SuDqOgYrDc811arlaioaEKCg7E5X79cuQLYvXcfy1euYvzkqVyMi8NHfMjil4XHH33oxofxCiGBuTmd/L13Jo333s79TPzjHyZ82Dnp9dt+4Cib9x1m1uI1XL56lYREG9n9/XnrWe84QVDdvsz1MziDiUhZwALceIzrX+AlZ5/SQGFg703WLwdedK6/D6h0m6EsANqLSE7nPgqISKiI5Mcx7eB7YABQzdkntzFmPtADqOzcxxGuT0toDfjd5LHeEBG/a+MQkRy3Ge9tK1eyKMdPRXAyIoqEhET+XrmOhjUq33pD4PO3O/LbmP78Ouobur3yDA82qutVCStAuRJFOX4qkpOR0SQkJrJo1fp0j+/8xTjiExIAOHv+Atv2HqRYwXzuDFfdoHzxQhw/HcWJyBgSEhNZuGYzjaq5zp/ecyScrybNYvA7HQjK7V3zAm9UtlQJwk+d5mREJAkJiSxesZr6tVxnLdWvVZ2/lvwLwLJVa6lWsQIiQliIlU3bdwJw+coVdu49QJGC+QE4c9Zx2DYiKprla9bTvFG9DBxV6ioUzc+xyBhORJ8hITGRBRt20LhyGZc+e46d4svv5zL0zRcISjZnNV9QbjbuO0KizUaCzcbGfUcpntfz0wPKlC7FiZOnOHU6goSEBJYuX0G92jVd+tSrXZOFi5cAsHzFKqpUqoiIMLT/V/wwaRw/TBrHk60f5YVnn/LahBWgQrGCHI+I4URUrOP1W7uVxlVdp97sOXqCvlN+Yejb7Vxev76dX2D+4P8xb9AHdH/uYR6uXy3zJqw+Pu65ZTLeWwrwnGwissV5X4C2xhjbDSfHjAJGi8h2HBXMdsaYqyKS1vrRwGQR2Q3sBlzPeLgFY8xCESkHrHbGcRF4GSgJDBARO5CAY+5sAPC7cy6tAO84dzPeuX4r8Beu1dXkJgBFgU3ieLAo4PHbifdO+FosvPvai3TvOxS73c4j99eneKECjJvxG+VKFKVhzSrsOnCYDwaM4kJcHCs2bmXCzDlMH9LH3aHdE74WCz3bv8DbLuPLz7iffqdsiSI0qlGFXQeO8P7AUVyIu8SKjdsYP3MOPw7+nCMnTvPNuGmIjw/GbqfN460o5kwSMosq0wZhbVyLLMGBND28jP19RnB88s+eDivdfC0W3mv7FN36j3Vckq1xbUoUzMeYn/+kXLFCNK5+H8N/nMPlK1f5YPgUAMKsgQx513HFhA59hnPkVCSXr8TzULfP+KTj89StVNaj4+nesR09P++H3WbnoeZNKFa4IBOnz6JMyeI0qFWdh5s3oe/QUbzQuQcBATn47N1uADzxYEv6jRhDm27vYQw81KwRJYo6Tuj55JuhnLtwEV9fCz06vUpATrf/3r0lX4uFD55/iDeGTcNuNzxWvyol84cyas4/lC+SnyaVyzJk9kIuXY3nvXEzAUeyOqzLizSvXp51ew/zTJ/RiEC98iVTJLyeYLFY6Na5Ix/0/hy73U6rFs0oWqQwU76fTulSJalXuxYPtmxOv0FDadPxDQJy5uSj99+95X779h/E1u07OXf+PM+37UDbl57nwZbNb7mdO/laLLz/8mN0Gei4vFfrhjUpUSAvo39ZSPliBWlctTxDf5rPpavx9Br5PQB5rXkY2r2dR+NW7iHXziZU6k7di+kB3kyM3dMhuM2qGp08HYJbNVo1xNMhuNWlnGGeDsGtckXs83QIbhVdIH1HWzKjoOj/9muXo+7jGTrJ9Mq8MW75ns36cOdMNVlWK61KKaWUUt4sE57p7w76LCillFJKKa+nlVallFJKKW+WCU+acgd9FpRSSimllNfTSqtSSimllDfTPy4AaKVVKaWUUkplAlppVUoppZTyZnr1AECTVqWUUkop76bTAwCdHqCUUkoppTIBrbQqpZRSSnkzveQVoJVWpZRSSimVCWilVSmllFLKixmd0wpo0qqUUkop5d306gGATg9QSimllFKZgFZalVJKKaW8mVZaAa20KqWUUkqpTEArrUoppZRSXkxPxHLQpFUppZRSypvp9ABApwcopZRSSqlMQJNWpZRSSilvJuKe2y0fVlqJyF4ROSAiH6TS/o6I7BKRbSKyWESKJGuzicgW523OvXgadHqAUkoppZRyISIWYCTQAggH1ovIHGPMrmTdNgM1jDGXROQNoD/wnLPtsjGmyr2MSSutSimllFLezMfHPbebqwUcMMYcMsbEAzOAx5J3MMYsMcZcci6uAQre87Eno5VWdddOZC/t6RDcKsge6ekQ3KbRqiGeDsGtltfr4ekQ3KrZd+09HYJ7+Wf1dARulTvXCU+H4DZ7rQ09HYJbVcvgx3PX1QNEpBPQKdmqccaYcc77BYDjydrCgdo32d1rwJ/JlrOKyAYgEehnjPntbuPVpFUppZRS6v8hZ4I67pYdb0FEXgZqAI2TrS5ijDkhIsWBf0RkuzHm4N08jiatSimllFLezDOXvDoBFEq2XNC5zoWINAc+AhobY65eW2+MOeH895CILAWqAneVtOqcVqWUUkopdaP1QCkRKSYiWYDnAZerAIhIVWAs0NoYE5lsfaCI+DvvBwP1geQncN0RrbQqpZRSSnkx44FKqzEmUUS6AgsACzDJGLNTRPoAG4wxc4ABQE5gljjm3R4zxrQGygFjRcSOo0Da74arDtwRTVqVUkoppVQKxpj5wPwb1vVOdr95GtutAire63g0aVVKKaWU8mZuunpAZqNJq1JKKaWUF/PE9ABvpM+CUkoppZTyelppVUoppZTyZjo9ANBKq1JKKaWUygS00qqUUkop5c10TiugSatSSimllFczOj0A0OkBSimllFIqE9BKq1JKKaWUN9PpAYBWWpVSSimlVCaglVallFJKKS9m0DmtoEmrUkoppZRX07+I5aDPglJKKaWU8npaaVVKKaWU8mZaaQW00qqUUkoppTIBrbQqpZRSSnkx/eMCDlppVUoppZRSXk8rrakQkY+AFwEbYAdeB34Cahhjom/ou8oYU+8m+/oVKAbkBEKAw86mN4HpaeyzNVDeGNMvjX0WBeYaY+67/dF5F2MMk8YOZ/OGNWTx96drjw8pXrJMin4H9+9l5JCviI+Pp2qNOrR//S1EhMMH9zNu5CAS4uPxsVjo+GYPSpUpz/IlC/nt5+lgDFmzZadTl3cpWrxkho9v3cbNfDt+Mna7nYdaNOPFZ55waY9PSKDf4BHsO3iIXAE56d3rHfKGhXI6IpJ2b3anUIH8AJQvU4oeXV7n0qXLvP3BJ0nbR0XH0Pz+RnTt+GqGjis1q7buZuC0X7HbDY83qU271s1d2r+fv5Tfl67BYvEhMCAnvTs9T77gIAC6fTOW7QePUKV0cYb27OiJ8O9KpfFfEfpQE+IjY1he9VFPh3PbVu4P55u/1mC3G56oVprXGlZOtd/fu47w7sx/mN6xNRUKBCetP3X2Ik+M/IU3mlSlbf2KGRV2uq3ce4xv5q7AbrfzRM3yvNakmkv7zLU7+Gn1Diw+QrYsfvR+ogklwoJISLTR57dl7AqPxEeEXo82oGbxAp4ZxE2s2rKLQd/9jN1u57H769HusZYu7Zt2H2Dwdz9z4NhJ+r71Ks1qV01qG/7Db6zYvANjDLUrluXdtk8jXlbVM8YwddwQtmxcTRb/rLzx9scUS+V74qfvxrB8yV/EXbzAlFmLk9bv3rGZ78YP49iRg7zV63Nq12+akeHfE3r1AAd9Fm4gInWBR4BqxphKQHPgeFr9b5awOtufMMZUAToA/xpjqjhvq26yzZy0Etb/ms0b1nDqZDgjxk+nc7f3GDdycKr9xo8aROe3ejFi/HROnQxn88a1AEybPJpnXmzHwG8n8fzL7Zk2eQwAoWH56NNvBINHTeXpF9oyZsSADBvTNTabjWFjJtDvs4+YPHII/yxfwZFjrv+V/ly4mICcOfh+3Lc8/dgjjJvyfVJb/rxhjB8+kPHDB9Kjy+sAZM+eLWnd+OEDCQsNoWHd2hk6rtTY7Ha+mTqb4b06Mav/+yxYs5lDJ0679ClbtADTvniHGV/3olmtygz/8Y+ktlcevp8+nV/K6LDvmfCpv7DukQ6eDuOO2Ox2vpq/mlEvteTXLk/y145DHIw8k6Jf3NUEflizk4oFQlK0DVywjgalCmZEuLfNZrfz1ZzljHr1YX7t8QJ/bd3PwYhYlz4PVS7N7O7PM/Ot53i1UVUGzlsJwOz1uxz/dn+eMa89yqB5q7DbTYaP4WZsdjv9J89k2PtvMnPgxyxctZFD4adc+uQNDuTTzq/wQP0aLuu37jvE1n2H+LH//5gx4CN2HTrKpt37MzL8dNmycTWnT4YzZOxMOnZ5n4mjU/88r1arAV8OmpBifXBIXjp3/5j6jVu4O1T3EXHPLZPRpDWlfEC0MeYqgDEm2hhz8lqjiGQTkT9FpKNz+aLz3yYislREfhaRPSLyg6Tv52o3EdkkIttFpKxzX+1E5Fvn/TAR+VVEtjpvLkmyiBQXkc0iUtO53S8i8peI7BeR/sn6tRSR1c7HmiUiOZ3r+4nILhHZJiIDneueEZEdzsdbfjdP5q2sX7OCJk0fQEQoXbYCl+IucibWpfDMmdhoLl26ROmyFRARmjR9gPWr/702Li5figPgUlwcQUGO6k/Z8hXJGRAAQOkyFYiNiXLnMFK1Z/8BCuTLS/68Yfj5+dG0UX1WrV3v0mfl2vW0bNYEgMb167Jp63aMSd+X4vETJzl77hyVKpS716Hftp0Hj1EoLJiCocH4+frSsk5Vlm3c4dKnRvlSZPXPAsB9JYsQEXs2qa3WfaXJnjVrRoZ8T8Wu2EBC7DlPh3FHdpyIplBQLgoG5cLP10Kr+4qzdO+xFP1G/rORVxtUwt/X4rL+n91HKRCYkxIheTIo4tuz43gkhay5KRiU2zG+yiVZuvuwS5+cWbMk3b8cn5hUaTwUeYZazsqqNWd2ArJlYeeJyIwLPh12HjhCobzBFAxzvPda1K3Gsg3bXPrkD7FSqkiBFBVUwXG0JyExkYSERBITbQTlzpWB0afPxjX/0rBpK0SEUmXvS/V7AqBU2fsIDApOsT4kLB9FipVEtFqZ6ekrmNJCoJCI7BORUSLSOFlbTuAP4EdjzPhUtq0KdAfKA8WB+ul4vGhjTDVgNNAzlfbhwDJjTGWgGrDzWoOIlAFmA+2MMdeyoSrAc0BF4DkRKSQiwcDHQHPnY20A3hERK/AEUMFZVf7SuY/ewAPOx2ydjjHcsZiYaKwhoUnLQcEhxMREp+xjDUm1z6sduzFt0mheb/sU300axUvtOqV4jMUL51K1esZXI6NjYgkNvv4BGmy1EhUTm2Yfi8VCjhzZOX/+AgCnIyLp9HZPun/Qm207d6XY/5LlK2nSoJ5XHMqLPHOWsKA8ScuhQbmJPJN2Evf7srXUq+z5ZFtB5Pk48ubKkbQcmisHEecvufTZfTKa0+fjaFS6kMv6S1cTmLxyG50bV8VbRZ6PI2/unEnLoblyEnEuLkW/Gau38/CA7xny1yref7QBAKXzWVm2+wiJNjvhsefZfSKKiHMXMyz29Ig6c44wa2DScpg1kKibvPeSq1S6ONXLl+LBNz6i1Rv/o07lchQrkNddod6x2JgorMFhSctB1hCPFCI8yYiPW26ZTeaL2M2MMReB6kAnIAr4SUTaOZt/ByYbY75LY/N1xphwY4wd2AIUTcdD/uL8d2Ma/ZviSGgxxtiMMdc+jUKc8bxkjNmarP9iY8w5Y8wVYBdQBKiDI5FeKSJbgLbO9eeAK8BEEXkSuPZNtRKY4qwmu5ZVvMyC+b/TrmNXxk6dTbuOXRk19BuX9h1bN/HPwnm8/GpnD0V4Z4KCAvlx0hjGDRvImx3a0nfgMOIuuSYSS/5dSbPGDTwU4Z2bv2IDuw8dp83DmW9e2f9Hdrth4IJ1vNuyVoq20Us383KdCmT39/NAZPfW83UrMu+9l+neqi7j/9kIwOPVyxGWOwcvjpzFgLkrqFw4Lz5e8CPxXjl+OoojJyKYN/JL5o/qy4ad+9i854Cnw1IqTXoiViqMMTZgKbBURLbjSPLAkcy1EpHpJvVjuFeT3beRvuf32jbp7X/NOeAY0ABHcnqzGARYZIx54cadiEgtoBnwNNAVaGqM6SwitYGHgY0iUt0YE3PDdp1wJPb0/mIATz//SroD/3PuLyz+ay4AJUqXJSbq+uG22OgorFbXwztWazAxyX5VJ++zbPFftH/9LQDqNrif0cOSZkRw5PBBRg/vz0d9BhCQK3e647tXgq1BREZfrxpHx8QQYg1KtU9IsBWbzUZc3CVy5QpARMji50gESpcsQf68YYSfOEmZUo6TyQ4ePoLNZqN0yRIZN6CbCA3M43K4PzL2HKGBKZ/ztTv2MmnOIsZ91JUsfvrx4w1Cc+Xg9PnrlcfI83GE5cqetBwXn8CByDN0mPInANEXL/P2j4sY9kILtp+I4u9dRxi6aAMXrsQjAll8LbxQu3yGjyMtoblycDpZdTTy/EXCcudIs3+rSqXo+5tjVpSvxYf3Hrn+w7DN6NkUCc7jtljvREhgbiJirs9Bjog5Q0gq773ULF2/lftKFSV7Vn8A6lauwPZ9h6laNuNPWr3Rwnmz+WfBHACKlypLTHREUltsTBRB1pRzq//LDP+dH0t3QyutNxCRMiJSKtmqKsBR5/3ewBlgZAaGtBh4wxmbRUSufRrF4zi030ZEXrzFPtYA9UWkpHM/OUSktHNea25jzHygB1DZ2V7CGLPWGNMbR7W50I07NMaMM8bUMMbUuJ2EFeDBR55k4LeTGPjtJGrVacjSfxZgjGHfnp1kz5EjxZykwKBgsmfPzr49OzHGsPSfBdSs08DZZmXn9i0AbN+6iXz5HSeDREVGMLDvx3R79yPyF0gRfoYoW6okJ06e4tTpCBISEvhn+Urq1qrp0qde7RosXLwUgGUrV1O10n2ICGfPncNmswFw8nQE4SdPky/v9cNji5etoGkj76myli9eiOOnozgRGUNCYiIL12ymUbUKLn32HAnnq0mzGPxOB4JyB3goUnWjCvmDORZzjvAzF0hItPHXjkM0LlM4qT0gaxaWvf8Sf/Z4lj97PEulgiEMe6EFFQoEM6X9w0nrX6pTng4NK3tVwgpQoWAox6LPER573jG+rQdoXK6YS5+j0WeT7i/fe5TCwY6P2cvxCVyKTwBg9f7jWHx8KBHm+sPT08qXKMKx01GciIwmITGRRas30ah6pXRtGxYcyKbdB0i02UhMtLFp936Kesn0gJYPP0W/4VPpN3wqNeo04t9//sIYw/49O8iePeX3xH+dTg9w0FJHSjmBESKSB0gEDuCoKD7ibH8bmCQi/Y0xvTIgnreBcSLyGo7K6RvAKQBjTJyIPAIsunZCWGqMMVHOKQ4/ioi/c/XHwAXgdxHJiqMa+46zbYAzcRccSfNW3KRazTps2rCarh1ewN/fnzd7fJjU1rNrewZ+OwmADm++w8ghXxN/9SpVa9Smao06AHR+qxeTxw7HZrfh55eF17u9B8DPP07hwvlzTBg1BAAfi4X+w1Kbhuw+FouFbp078P6nX2Kz23mweVOKFSnE5O9nULpUCerXrslDLZrx1eDhvNypKwE5c/JJrx4AbNuxm8k/zMDX1xcRoUeXTuQKuJ7oLVuxiq8//ShDx3MzvhYL77V9im79x2Kz22nduDYlCuZjzM9/Uq5YIRpXv4/hP87h8pWrfDB8CuCYezfkXccZ9x36DOfIqUguX4nnoW6f8UnH56lbqawHR3R7qkwbhLVxLbIEB9L08DL29xnB8ck/ezqsdPG1+PDhQ3V5Y9oC7MbweNVSlAwNZOQ/m6iQP5gmZQvfeidezNfiw4etG/LGpD8c46tRlpJhQYxctI4KBUJoUr4YM1ZvZ82BcPwsPgRk8+eLZ5oBEBt3mTcmzcVHHHNh+z7b/BaPlvF8LRZ6tXuWt74eic1uaN2kDiUK5WPMrLmUK1aYxjUqsfPgUXoNHs/5uEus2LSdsbPmMXPgxzSrXZUNO/fxQq+vEBHqVi5Ho+red8myqjXqsWXDarp3egZ//6y8/vb1z74P3mpLv+FTAfhh8khWLVtI/NUrdGn3GPe3fJSnX+zAwX27GPzVh8RdvMCm9SuY9cNEBo76wVPDUXdB0numslJp2X4g4j/9nyjI7l1nC99Luc6leTW3/4Tl9Xp4OgS3avZde0+H4F7+mfeKEukRX9S7qtL30oGc1W7dKROrVtqaocfro3atc8v3bEj5Wplq3kHmqw0rpZRSSqn/d3R6gFJKKaWUFzNaYwQ0aVVKKaWU8mrmP3SptbuhqbtSSimllPJ6WmlVSimllPJimfHyVO6gz4JSSimllPJ6WmlVSimllPJi+hexHLTSqpRSSimlvJ5WWpVSSimlvJjOaXXQpFUppZRSyovpJa8cNHVXSimllFJeTyutSimllFJeTE/EctBKq1JKKaWU8npaaVVKKaWU8mJ6IpaDJq1KKaWUUl5Mpwc4aOqulFJKKaW8nlZalVJKKaW8mE4PcNBnQSmllFJKeT2ttCqllFJKeTGd0+qgSatSSimllBfT6QEO+iwopZRSSqkURKSViOwVkQMi8kEq7f4i8pOzfa2IFE3W9qFz/V4ReeBexKNJq1JKKaWUFzOIW243IyIWYCTwIFAeeEFEyt/Q7TXgjDGmJDAE+Ma5bXngeaAC0AoY5dzfXdGkVSmllFJK3agWcMAYc8gYEw/MAB67oc9jwFTn/Z+BZiIizvUzjDFXjTGHgQPO/d0VndOq7ppgPB2CW1kPr/N0CG5zrnAVT4fgVs2+a+/pENxqcZtJng7BrRqtHubpENQdym657OkQ/lOMuOdELBHpBHRKtmqcMWac834B4HiytnCg9g27SOpjjEkUkXOA1bl+zQ3bFrjbeDVpVUoppZT6f8iZoI67ZUcvoUmrUkoppZQXM8Yjl7w6ARRKtlzQuS61PuEi4gvkBmLSue1t0zmtSimllFJezODjltstrAdKiUgxEcmC48SqOTf0mQO0dd5/GvjHGGOc6593Xl2gGFAKuOu5dlppVUoppZRSLpxzVLsCCwALMMkYs1NE+gAbjDFzgInANBE5AMTiSGxx9psJ7AISgS7GGNvdxqRJq1JKKaWUF/PUX8QyxswH5t+wrney+1eAZ9LYti/Q917Go9MDlFJKKaWU19NKq1JKKaWUF/NUpdXbaNKqlFJKKeXFNGl10OkBSimllFLK62mlVSmllFLKi2ml1UErrUoppZRSyutppVUppZRSyot56C9ieR1NWpVSSimlvJhOD3DQ6QFKKaWUUsrraaVVKaWUUsqLaaXVQSutSimllFLK62mlVSmllFLKi2ml1UErrUoppZRSyutppVUppZRSyovpJa8cNGlVSimllPJidp0eAOj0AKWUUkoplQlopVUppZRSyovpiVgOmrRmEiJy0RiT8x7urygw1xhzn4jUANoYY966V/tPL2MMk8YOZ9OGtWTx96dbjw8pXrJ0in4H9+/l2yFfEx8fT7UatWn/+luICIP6fcbJ8OMAxMVdJEeOnAz6dmLSdlGREXR/oy3PvtiOx556PsPGlZqVuw7xzS+LsdsNT9StxGst6ri0z1yxmZ/+3YzFx4ds/n70fu4BSuQLZvvRU3wxYwHgeL46P1ifZpVTPkeesHbTVoZP+A673c7DLe7n5adau7THJyTQd+ho9h08TK6AnHzW8y3yhYWQmJjINyPHs+/gEWx2G62aNOTlpx8DYNYffzJ30RKMMTzSoinPtn7QE0NLYeX+cL75a43j9atWmtcaVk6139+7jvDuzH+Y3rE1FQoEJ60/dfYiT4z8hTeaVKVt/YoZFfY9UWn8V4Q+1IT4yBiWV33U0+HclVVbdzNw2i/Y7XYeb1KHdq1buLR/P38Jvy9ZjcXiQ2CunPTu+CL5QoI8FG36rNqyi0Hf/Yzdbuex++vR7rGWLu2bdh9g8Hc/c+DYSfq+9SrNaldNahsx/TdWbN4JwGtPtqJl3eoZGntajDGMHzuSjevX4u/vz9vv9KJEKt8NB/bvY/jg/lyNv0r1mrXp+HoXRK4neL/9MpPJE8Yy7cdfyJU7N0uX/M0vs2aAgazZs/FGl+4UK14iI4em7oJOD1AYYzZ4ImEF2LRhLadOhvPt+B94o1tPxo0cnGq/caMG88Zb7/Ht+B84dTKczRvXAvDuB58x6NuJDPp2InXqN6J2vYYu202ZMJKq1Wu5fRy3YrPb+WrW34zq/Ay//u81/tq4m4Onol36PFS9PLM/bM/M99vxarNaDPx1CQAl8wUzvWcbZr7fjlFvPMMXPy0k0Wb3xDBc2Gx2hoydzIDevfhuxAAW/7uKI8fDXfrMW7SUgJw5+HHMEJ5t/SBjvvsRgCUr15KQkMDU4d8wYVBf5ixYzKmIKA4dPc7cRUsYO+ALJg3tx+oNmwg/ddoTw3Nhs9v5av5qRr3Ukl+7PMlfOw5xMPJMin5xVxP4Yc1OKhYISdE2cME6GpQqmBHh3nPhU39h3SMdPB3GXbPZ7XwzZRbDe73OrP4fsmD1Jg6Fu/7/KlukINO+7MmMfh/QrFYVhv84x0PRpo/Nbqf/5JkMe/9NZg78mIWrNnIo/JRLn7zBgXza+RUeqF/DZf2KTTvYc/g4P/T7gClf9OT7uYu5eOlyRoafpo0b1nHqRDhjJnxHl7feYfS3w1LtN2bkULq8/Q5jJnzHqRPhbNqwLqktKiqSzZs2EhISmrQuLCwfX30zhOGjJ/Dc8y8zcnjq3znexhhxyy2z0aQ1kxGRJiKyVER+FpE9IvKDOH9Wikg/EdklIttEZKBz3RQReTrZ9hfT2Odc5/3PRGSS8zEOiYhbk9n1a1bQuOkDiAily1YgLu4iZ2JjXPqciY3h0qVLlC5bARGhcdMHWLd6hUsfYwyr/l1Cg8bNk9atXf0voWH5KFSkmDuHkC47jp6iUEgeCgbnwc/XQqtq5Vi6/YBLn5zZ/JPuX45P4FqxIFsWP3wtjrfq1cRExEs+Z3bvP0CBfGHkzxuGn58vzRrUZcXajS59VqzbQKv7HT8kGterzaZtOzDGICJcuXKVRJuNq1fj8fXzJUf2bBwNP0G5UiXJ6u+Pr8VClQrlWL56vSeG52LHiWgKBeWiYFAux+t3X3GW7j2Wot/IfzbyaoNK+PtaXNb/s/soBQJzUiIkTwZFfG/FrthAQuw5T4dx13YePEqhsBAKhgbj5+tLyzrVWLZxu0ufGhVKkdU/CwD3lSxKROxZD0SafjsPHKFQ3mAKhjnG1KJuNZZt2ObSJ3+IlVJFCrhUIAEOnzhN1XIl8bVYyJbVn1KFC7B66+6MDD9N69as5P5mLRERypQtT1zcRWJv+G6IdX43lClbHhHh/mYtWbtmZVL7xHGjaNe+k8u4y5WvQM6AAADKlC1PTExUxgzoLhnELbfMRpPWzKkq0B0oDxQH6ouIFXgCqGCMqQR8eRf7Lws8ANQCPhURv7sLN22xMdEEJ/sVbA0OSfEhEhMThdUa4tInNsa1Srlr5zby5AkifwFHJevy5Uv89vN0nn2xrbtCvy2RZy+SN09A0nJongAizl1I0W/G8k08/Pk4hvy+jPefapa0ftuRkzzx1USe/noyHz/bMimJ9aTo2DOEBluTlkOsQUTFxqbZx9diIUf27Jy7cIEm9WqRNas/T7z6Js90fIvnH3uYXAE5KVa4ENt27+Hc+QtcuXqVNZu2EBnt+kXlCZHn48ibK0fScmiuHEScv+TSZ/fJaE6fj6NR6UIu6y9dTWDyym10blwV5VmRsecIs+ZJWg4NykPkmbST8d+XrqFe5XIZENmdizpzjjBrYNJymDWQqJuMKblSRRxJ6pWr8Zw9f5ENu/YREZPyCIInxERHExxy/XM/ODiEmOjoFH2swcm/G4KT+qxdvRKrNfimh/4XLfyTal5wJE6ln+e/+dSdWGeMCTfG2IEtQFHgHHAFmCgiTwKX0t78luYZY64aY6KBSCDsxg4i0klENojIhlkzpt3FQ90bK5b9TYPG15O8mT9M4ZHHnyFbtuwejOr2Pd+oGvM+7UT31o0Zv3B10vpKRfPz6/9eY3rPNkxctIarCYkejPLu7d5/EB8fH36dNJKfxg7lp9/nc/J0BEULFeDFJx7l3c++pufn31CyWBF8fLz/Y8puNwxcsI53W6b8Ahy9dDMv16lAdn+3/fZTbjB/xXp2HzpGm0ea3bpzJlWnUjnqVylP+08H8dGIyVQsVSxTvN9u5eqVK8z6aTovvtIuzT7btm7m74V/0rZ9x4wL7C7o9AAHPRErc7qa7L4N8DXGJIpILaAZ8DTQFWgKJOL8cSIiPkCWO9n/jR2MMeOAcQA7Dpw2txP8n3N/5e+/5gJQsnQZoqMik9piol2rqgBWq2v1NSY6iiDr9RNcbLZE1q76lwHDxiWt279vF6tXLmPapLHExV3ERwS/LFl46NEnbyfUeyY0T05On71eWY08e4Gw3AFp9m9VrRx9Zy5Msb54XivZ/bNw4FQUFQrnc0us6RUcFOhSBY2KiSUkKCjVPqHBVhJtNuIuXSJ3QACTls+mdtXK+Pr6EpgnNxXLlWbPgcPkzxvGIy3u55EW9wMwbtoMQqxWPC00Vw5On49LWo48H0dYrus/iOLiEzgQeYYOU/4EIPriZd7+cRHDXmjB9hNR/L3rCEMXbeDClXhEIIuvhRdql8/wcfx/FxqUm4iYs0nLkbFnCQ3MnaLf2h17mfT7IsZ93I0sft79NRkSmNulOhoRc4aQVMaUlvZPtKL9E60A+HjEZIrkC73FFu4z74/fWLRgPgAlS5UhOur65350dBTW4GCX/o7KavLvhmiswcGcOnWSyIjTdO/SKWnbHm91ZuCQkQQGBXHk8EFGDhtE7z5fkytX+p8r5Xne/W5U6SYiOYHsxpj5IrISOORsOgJUB2YCrQGPl3sefOQJHnzkCQA2rlvNn3N/oUHjZuzfu4vsOXIQGOSapAQGWcmePTv79uykVJnyLPtnAQ8++lRS+7bNGylQsDDW4Osftl/2/zbp/k8/TCZr1mweS1gBKhTOx7GoM4THnCUsdwB/bdrN121dz8I+GhlLkVBH0rd850EKhzgO+YXHnCVvnlz4Wnw4GXuOIxEx5A/y/Adt2VIlCD91mpMRkYQEBbF4xWp6v9PVpU/9WtX5a8m/3Fe2NMtWraVaRce85LAQK5u27+SB+xty+coVdu49wDOPOq4ScObsOQLz5CYiKprla9Yz+ps+nhieiwr5gzkWc47wMxcIC8jOXzsO8fVTTZLaA7JmYdn7LyUtvzZ5Pu+0rEWFAsFMaf9w0vrRSzaRPYufJqweUr54YY6fjuJEZAyhQblZuGYTX3Zp49Jnz5Fwvpr4EyPe70zQTX5YeovyJYpw7HQUJyKjCQ3Kw6LVm/iia7t0bWuz27kQd4k8ATnZf/QE+4+d5LNKZd0b8E08/OjjPPzo4wBsWLeGeX/8RsPG97Nv725y5MhB0A3fDUHO74a9e3ZRukw5lixeyMOtn6BoseJ89+PspH4d273IoGGjyZU7N1GREXz95Wd07/khBQq6TuXxZplx/qk7aNL63xEA/C4iWQEB3nGuH+9cvxX4C4hLY3uPqFazDps2rKFLhxfx9/enS48Pktre7fpa0uWrOr7Zg2+H9CP+6lWq1qhNtRq1k/qtWP6Py9QAb+Rr8eHDp5vzxqhZ2O2Gx+tUpGS+YEbO+5cKhfPSpGIpZvy7mTV7j+BnsRCQzZ8vXnYkO5sPnmDS37Pxs1gQgf8925LAnJ6f9uBrsdC9Yzt6ft4Pu83OQ82bUKxwQSZOn0WZksVpUKs6DzdvQt+ho3ihcw8CAnLw2bvdAHjiwZb0GzGGNt3ewxh4qFkjShQtDMAn3wzl3IWL+Ppa6NHpVQJy5rhZGBnC1+LDhw/V5Y1pC7Abw+NVS1EyNJCR/2yiQv5gmpQt7OkQ3arKtEFYG9ciS3AgTQ8vY3+fERyf/LOnw7ptvhYL77V7im7fjMZmt9O6cR1KFMzHmJ/nU65YIRpXr8jw6b9z+cpVPhg2BYCw4ECGvOu9h5B9LRZ6tXuWt74eic1uaN2kDiUK5WPMrLmUK1aYxjUqsfPgUXoNHs/5uEus2LSdsbPmMXPgxyQm2uj0+VAAcmTLSp8ubfG1WG7+gBmkes3abFi/ls6vvYK/f1a69Xgvqa17104M/dZxZO31N99m+JD+xF+9SrUatahe4+ZzVGdMn8aFC+cZO8pxNQIfHwuDh49230Dukcx4KN8dxJjbOrKrVAq3Oz0gsyl5cJ6nQ3Cbc4WreDoEt8q95W9Ph+BWi9tM8nQIbtVodeqXOfqvMD7ekSC6w8nc3n0C290qW6JghmaR6/acc8v3bK2yuTNVNqyVVqWUUkopL+b5K3N7h8x/mqBSSimllPrP00qrUkoppZQX0zmtDlppVUoppZRSXk8rrUoppZRSXkwveeWgSatSSimllBfT6QEOOj1AKaWUUkp5Pa20KqWUUkp5MZ0e4KCVVqWUUkop5fW00qqUUkop5cXs/+m/O5l+mrQqpZRSSnkxnR7goNMDlFJKKaWU19NKq1JKKaWUF9NLXjlopVUppZRSSnk9rbQqpZRSSnkxoydiAZq0KqWUUkp5NbueiAXo9ACllFJKKZUJaKVVKaWUUsqL6YlYDlppVUoppZRSXk+TVqWUUkopL2aMe253Q0SCRGSRiOx3/huYSp8qIrJaRHaKyDYReS5Z2xQROSwiW5y3Krd6TE1alVJKKaXU7foAWGyMKQUsdi7f6BLQxhhTAWgFDBWRPMna3zPGVHHettzqATVpVUoppZTyYgZxy+0uPQZMdd6fCjyeIm5j9hlj9jvvnwQigZA7fUA9EUvdtZyc93QIbpWYJ9TTIbhNroh9ng7BvfyzejoCt2q0epinQ3Cr5XXf9nQIblV34wRPh+A22e0XPB3Cf4rdTddpFZFOQKdkq8YZY8alc/MwY8wp5/3TQNgtHqsWkAU4mGx1XxHpjbNSa4y5erN9aNKqlFJKKfX/kDNBTTNJFZG/gbypNH10w36MiKSZWotIPmAa0NYYY3eu/hBHspvFGcP7QJ+bxatJq1JKKaWUF/PUJa+MMc3TahORCBHJZ4w55UxKI9PolwuYB3xkjFmTbN/XqrRXRWQy0PNW8eicVqWUUkopdbvmAG2d99sCv9/YQUSyAL8C3xljfr6hLZ/zX8ExH3bHrR5Qk1allFJKKS/mjZe8AvoBLURkP9DcuYyI1BCRaxO2nwUaAe1SubTVDyKyHdgOBANf3uoBdXqAUkoppZQXs9/9mf73nDEmBmiWyvoNQAfn/e+B79PYvuntPqZWWpVSSimllNfTSqtSSimllBe7B4fy/xO00qqUUkoppbyeVlqVUkoppbyYpy555W00aVVKKaWU8mLu+otYmY1OD1BKKaWUUl5PK61KKaWUUl5MT8Ry0EqrUkoppZTyelppVUoppZTyYsYL/7iAJ2ilVSmllFJKeT2ttCqllFJKeTG9eoCDJq1KKaWUUl5MT8Ry0OkBSimllFLK62mlVSmllFLKi2ml1UErrUoppZRSyutppVUppZRSyovZjV7yCjRpVUoppZTyajo9wEGT1v84EbEB2wEBbEBXY8wqESkKHAb6GmM+dvYNBk4BY40xXUXkM+CiMWagu+Jbv2EjY8aNx2a382DLFjz37DMu7fEJCQwYNJj9Bw6SKyCA/33Qi7xhYZw/f54vvurHvv37adG8GV3f6Jy0zZKly5gxcxYiQlBQEO/3fIfcuXO7awjptmrbHgZ+/zs2u53HG9fm1UeburR//+cyflu2FovFQmBADj7t8Cz5goPYe/QEX0/5hbgrV/Dx8eG1R5vRsk4VzwziJlbu2E//mX9ht9t5okE12rdq6NI+bdEqfl25CYuPD4E5c/BZ28fIb80DwJDZC/l3+36MMdQpV5xezz2IiHdVFlbuPcY3c1c4xlezPK81qebSPnPtDn5avQOLj5Atix+9n2hCibAgEhJt9PltGbvCI/ERodejDahZvIBnBpEOq7buZuC0X7Db7TzepA7tWrdwaf9+/hJ+X7Iai8WHwFw56d3xRfKFBHko2nuj0vivCH2oCfGRMSyv+qinw7ltqzfvYOjkH7HZ7bRu1pA2Tzzk0r551z6GTpnBwaPh9OneiaZ1a7i0x126zAs9etOoZhV6dngpI0NP0/qNmxg1bgJ253fD88885dIen5BA/8FDk74bPnq/J3nDwtizdx9Dvh3l6GTglRefp0G9OgBcvHiRwcNHcuTYMUDo+XZXypcrm8EjU3dD57T+9102xlQxxlQGPgS+TtZ2GHg42fIzwM6MCsxmszFy9Bi+/Pwzxo8eyZLlyzl67JhLnwULFpIzZ06mTBjHk48/xsTJUwDIkiULbV95iY6vtU+xz9HjxtP/676MGTmC4sWKMmfuvIwaUppsdjv9vvuV4T078HO/91iwZjOHTpx26VOmSAGmfd6dn/q+S7OalRg2wxF31ixZ6PP688z6+j2+7dmBgT/8zoW4y54YRppsdjtf/zifkd1e4pfPuvDX+h0cPBnp0qds4Xz88L9OzOr9Js2rl2fo7EUAbDl4jC0HjzOr9xv8/Omb7Dxykg37jnhgFGmz2e18NWc5o159mF97vMBfW/dzMCLWpc9DlUszu/vzzHzrOV5tVJWB81YCMHv9Lse/3Z9nzGuPMmjeKuxeetFFm93ON1NmMbzX68zq/yELVm/iULjr/9OyRQoy7cuezOj3Ac1qVWH4j3M8FO29Ez71F9Y90sHTYdwRm83OoIk/MPij7vw45AsWrVzH4eMnXfrkDQ7iky6v0qJB7VT3MW7Gb1QpVyojwk0Xm83GiNFj+erz3kwYNYIly/7l6LHjLn3+WriInDlyMnX8GJ58rDUTpnwHQNEiRRg1dBBjRwzlqz69GTZyNDabDYBR4yZSo3o1Jo0ZydgRQyhcqGCGj+1OGeOeW2ajSev/L7mAM8mWLwG7ReTaz+7ngJkZFczeffvJnz8f+fLlxc/PjyaNGrF6zVqXPqvXrqVFs2YANGxQny1bt2KMIWvWrNxXoQJZ/Pxc+hvnO/HK1asYY4i7dAlrkOerQDsPHqNQqJWCoVb8fH1pWacKSze5/j6oWb4k2fyzAFCxRBEiz5wDoEi+EArnDQEgJDA3QblycubCxYwdwC3sOHyCQqFBFAwJws/Xlwdq3MfSrXtd+tQsU4xsWRzjq1SsIBFnzwMgCPEJiSQk2ohPTCTRZsOaK2eGj+FmdhyPpJA1NwWDcuPna6FV5ZIs3X3YpU/OrFmS7l+OT0yqFB+KPEMtZ2XVmjM7AdmysPOEa0LvLXYePEqhsBAKhgY7/59WY9nG7S59alQoRVbn/9P7ShYlIvasByK9t2JXbCAh9pynw7gjuw4cpmDeUAqEheDn50vz+rVYvmGLS598ocGULFIIn1SOXuw5eITYc+epXblCBkV8a3v37Sd/vnzky3vtu6EBq274bli1Zh0tm90PQKMG9di8dZvzu8Efi8UCQHx8Atf++mlcXBzbd+7kwZbNAfDz8yNnTu/6nFG3ptMD/vuyicgWICuQD2h6Q/sM4HkRicAxfeAkkD8jAouJiSEkODhpOTjYyp69+1z6RMfEEBLi6GOxWMiRPQfnz59P83C/r68v3bq8Sec3u5I1a1by58/vMnXAUyLPnCPMeSgcICwoDzsOHk2z/+/L11KvUsrDVjsOHiMh0UbBUKs7wrxjkWfPkzcwV9JyWGAuth8OT7P/rys30aBCSQAqlyhEzTJFad5rIBh47v5aFM8X4vaYb0fk+Tjy5r7+BReaKyfbj0ek6Ddj9XamrdhKgs3G+A6PAVA6n5Vlu4/wYOVSnD53kd0noog4d5GKhcIyLP70iox1/X8aeqv/p0vXUK9yuQyITKUlKvYModbApOXQoEB27j+Urm3tdjvDv5vJZ291YP223e4K8bZFx8Qmfe7Dte+G/S59YpL1cXw3ZOf8+Qvkzp2L3Xv3MWjYCCIio3j/ne5YLBZORUSQO1duBgwdzqHDRyhVsgRvdupAtqxZM3Rsd8pLD85kOK20/vddmx5QFmgFfCeukwX/AloAzwM/pXenItJJRDaIyIbpM9K9mdslJiYyd/58Ro4YxvRpUylWrCg/zfrZ02HdlvkrN7LrcDhtHmrisj7q7Hl6j/2Rzzo+h49P5n3rzluzlV1HT9K2ZX0AjkXGcOhUNAv7vcPCb95h/Z7DbNqfdqLkzZ6vW5F5771M91Z1Gf/PRgAer16OsNw5eHHkLAbMXUHlwnlTrXhlNvNXrGf3oWO0eaSZp0NRd2j2gqXUq1aRUKvnj0bdS+XKlGbCqBF8O2QAM2bNJj4+HpvNzv6DB3n0oQcZM3wIWf2z8tOs2Z4ONd2MEbfcMhuttP4/YoxZ7TzZKiTZungR2Qi8C5QHWqdzX+OAcQBHDuy7o9+AVquVqOjopOXo6BiCra4VxGCrlaioaEKCg7HZbMRdiiNXrlw37irJwUOOCkP+fPkAaNywgVckraGBuYmIOZu0HBF7lpDAlNXitTv2MXHOYsZ/9AZZ/K6/PS9evsLbgyby5tOtqFiySEaEfFtC8+Ti9JnzScsRZ84Tmifl67Rm90Em/PkvE99tlzS+fzbvoVLxgmTP6g9A/ftKsvXQcaqV8p5xhubKwelz16dkRJ6/SFjuHGn2b1WpFH1/Ww6Ar8WH9x5pkNTWZvRsigTncVusdyM0yPX/aWTsWUJT/X+6l0m/L2Lcx91c/p+qjBcSFEhkzPVZX5GxZwhJVnm9mR37DrJ1935mL1jK5StXSUhMJHtWf958+Wl3hZsuwdYgoqJu/G5wTaytzj7XvxsukStXgEufIoUKkS1bVg4fPUZIsJWQYCvlypQGoFH9usz4+Rf3D0bdU5m3XKNum4iUBSxAzA1Ng4D3jTGxKbdynzKlS3HixElOnz5NQkICS5cvp07tWi596tSuzaLFiwH4d8VKKleqdNOzyoOtVo4dO87Zc475aZs2b6FQoULuG0Q6lS9eiOMR0ZyIiiEhMZGFa7bQuKrrHLI9R07Qd8pshvR4laBkH74JiYn0HDaFR+pXp3mtyhkderpUKJqfY5ExnIg+Q0JiIgs27KBx5TIuffYcO8WX389l6JsvEJRszmq+oNxs3HeERJuNBJuNjfuOUjyvd00PqFAwlGPR5wiPPU9Coo2/th6gcbliLn2ORp9Nur9871EKBzuSvcvxCVyKTwBg9f7jWHx8KBHmnZWt8sULc/x0FCcir/0/3USj6ve59NlzJJyvJv7E4Hc7EJQ7II09qYxSrmRRjp+K4GREFAkJify9ch0Na6Tvc+Lztzvy25j+/DrqG7q98gwPNqrr8YQVnN8NJ09x6nSE87thBXVv+G6oW7sWCxcvAWD5ilVUqVQREeHU6YikE68iIiM5Fh5O3tBQggIDCQkO5nj4CQA2b91GkcKe/25ILz0Ry0F/Iv/3XZvTCo4p6W2NMbbkiZ8xZicZeNWAaywWC13e6Mz/PvkUu91OyxbNKVqkCFOnfU/pUqWoW6c2rVq2oP/AwbTr0ImAgJz8r1evpO3bvPoacZcukZiYyOrVa/jqyz4UKVyYl158gZ69PsDX15fQ0BB69uie0UNLwddioVebJ+jafzw2Y3isUU1KFMzL6Nl/Ub5YIRpXq8CwGXO5fOUq7387DYC81jwM6dGeRWu3smnvIc5dvMQfKzYA8FnH5yhTxHsum+RrsfDB8w/xxrBp2O2Gx+pXpWT+UEbN+YfyRfLTpHJZhsxeyKWr8bw3znGuX76g3Azr8iLNq5dn3d7DPNNnNCJQr3zJFAmvp/lafPiwdUPemPQHdmN4vEZZSoYFMXLROioUCKFJ+WLMWL2dNQfC8bP4EJDNny+ecRw2j427zBuT5uIjjrmwfZ9t7uHRpM3XYuG9dk/R7ZvRjssnNa5DiYL5GPPzfMoVK0Tj6hUZPv13Ll+5ygfDpgAQFhzIkHc7ejbwu1Rl2iCsjWuRJTiQpoeXsb/PCI5P9vwRmvTwtVh497UX6d53KHa7nUfur0/xQgUYN+M3ypUoSsOaVdh14DAfDBjFhbg4VmzcyoSZc5g+pI+nQ0+TxWKha+eOfNj7c+x2Gw+0aE7RIoWZ8v10SpcqSb3atXiwZXP6DRpK246dCcgZwEfvvwvAjl27+OnnX7BYLPj4+PDWG6+TO7fjqE+Xzh35euBgEhMTyZc3jJ7d3/LkMNUdEJMZU23lVe50ekBmERyz99adMinLZe+6CsG9JrHeeZb+vZJQ2LuS+3tted23PR2CW9XdOMHTIbjNxWzBt+6UiRUuVS5DJ4ROWYpbvmfbNSFTTWzVSqtSSimllBfT+qKDzmlVSimllFJeTyutSimllFJeTCutDlppVUoppZRSXk8rrUoppZRSXkz/IpaDVlqVUkoppZTX00qrUkoppZQX0zmtDpq0KqWUUkp5Mbvd0xF4B50eoJRSSimlvJ5WWpVSSimlvJhOD3DQSqtSSimllPJ6WmlVSimllPJiWml10KRVKaWUUsqL6XVaHXR6gFJKKaWU8npaaVVKKaWU8mLGbfMDxE37dQ+ttCqllFJKKa+nlVallFJKKS+mJ2I5aNKqlFJKKeXF9C9iOej0AKWUUkop5fU0aVVKKaWU8mLGuOd2N0QkSEQWich+57+BafSzicgW521OsvXFRGStiBwQkZ9EJMutHlOTVqWUUkopdbs+ABYbY0oBi53LqblsjKnivLVOtv4bYIgxpiRwBnjtVg+oSatSSimllBezG/fc7tJjwFTn/anA4+ndUEQEaAr8fDvba9KqlFJKKaVuV5gx5pTz/mkgLI1+WUVkg4isEZHHneuswFljTKJzORwocKsH1KsHqLt2VbJ5OgS3is+e6jSd/4S4oBKeDsGtcuc64ekQ1F2ou3GCp0Nwq9XVO3g6BLepuOs3T4fwn+KuS16JSCegU7JV44wx45K1/w3kTWXTj1zjM0ZE0oqyiDHmhIgUB/4Rke3AuTuJV5NWpZRSSikvZu7BsfxU9+tIUMfdpL15Wm0iEiEi+Ywxp0QkHxCZxj5OOP89JCJLgarAbCCPiPg6q60FgVtWGXR6gFJKKaWUul1zgLbO+22B32/sICKBIuLvvB8M1Ad2GcffpV0CPH2z7W+kSatSSimllBfz0hOx+gEtRGQ/0Ny5jIjUEJFrc3vKARtEZCuOJLWfMWaXs+194B0ROYBjjuvEWz2gTg9QSimllFK3xRgTAzRLZf0GoIPz/iqgYhrbHwJq3c5jatKqlFJKKeXF3HUiVmajSatSSimllBezu+lErMxG57QqpZRSSimvp5VWpZRSSikvptMDHLTSqpRSSimlvJ5WWpVSSimlvJhWWh00aVVKKaWU8mJ2zVoBnR6glFJKKaUyAa20KqWUUkp5MWP3dATeQSutSimllFLK62mlVSmllFLKixmd0wpopVUppZRSSmUCWmlVSimllPJidp3TCmjSqpRSSinl1XR6gINOD1BKKaWUUl5PK61KKaWUUl7MroVWQCutSimllFIqE9BKq1JKKaWUFzNaagXSkbSKiA3YDvgBicB3wBBjjF1EagBtjDFv3WT7dkANY0zX9AYlIv8zxnyV3v43bDsFaAycA+xAF2PM6nRu2w5nrCLSGbhkjPnuTuJI5+MVBXYDe5OtrmWMib9H+28HLDTGnHQuTwAGG2N23Yv93wvGGMaPHcmG9evw9/en+zu9KFGyVIp+B/bvY9jg/lyNj6dGzVp0fL0LIsL3301m7ZpV+Pj4kDt3Ht5+5z2s1uCk7fbv28N777zFex98TP0GjTJyaCms3rydoZN/xGY3tG7WkDZPPOTSvnnXXoZOnsHBo+H06fE6TevWcGmPu3SZF7p/QqNaVenZ4aWMDD1N6zZuYtS4idjtdh5s2ZwXnnnKpT0+IYFvBg9j/4GD5AoI4OP3e5I3LDSpPSIyitfefIs2Lz7Hs08+DsCAoSNYu34DeXLnZsKo4Rk5nJtatWUXg777GbvdzmP316PdYy1d2jftPsDg737mwLGT9H3rVZrVrprUNvyH31ixeQfGGGpXLMu7bZ9GRDJ6CGm6m7GNmP4bKzbvBOC1J1vRsm71DI09PVZv3uF879nTeO/tY+gU53uve6fU33s9etOoZhWvee+lV6XxXxH6UBPiI2NYXvVRT4eTbus3bmLUuAnOz5YWPJ/KZ0v/wUOTPls+er8necPC2LN3H0O+HeXoZOCVF5+nQb06SdvZbDa69OhJsNXKl59+nJFDuit6HpZDeqYHXDbGVDHGVABaAA8CnwIYYzbcLGG9C/+7y+3fM8ZUAT4Axt7JDowxY24nYRWRO61aH3Q+v9du9yRhdWoH5L+2YIzp4E0JK8DGDes4eeIEYydMpctbPRj97bBU+40eOYwub7/D2AlTOXniBJs2rAfgyaefZcSo8Qz7diw1a9Xhp+nfJ21js9mYMmkCVavVSHWfGclmszNowg8M/qgHPw75gkUr1nL4+EmXPnmDrXzSpT0tGtROdR/jZvxKlfKlMyLcdLHZbIwYPY6vPv+EiaOGs2TZCo4eO+7S58+FfxOQIwffjR/NU489yvgprm+pMRMmU6t6VZd1DzRvytef93Z7/LfDZrfTf/JMhr3/JjMHfszCVRs5FH7KpU/e4EA+7fwKD9R3/f+2dd8htu47xI/9/8eMAR+x69BRNu3en5Hh39TdjG3Fph3sOXycH/p9wJQvevL93MVcvHQ5I8O/JZvNzqCJPzD4o+6O997Kdam894L4pMurN3nv/UaVcil/TGcG4VN/Yd0jHTwdxm1xfLaM5avPezNh1AiWLPs3xWfLXwsXkTNHTqaOH8OTj7VmgvOzpWiRIowaOoixI4byVZ/eDBs5GpvNlrTdr3PmUrhQwQwdj7p3bmtOqzEmEugEdBWHJiIyF0BEaonIahHZLCKrRKRMsk0LichSEdkvIp9eWykiL4vIOhHZIiJjRcQiIv2AbM51P9ykn0VEpojIDhHZLiI9Ugl5OVAyrX04178qIvtEZB1QP1lsn4lIT+f9miKyzbntABHZ4VzfTkTmiMg/wGIRySEik5yPs1lEHnP2szi3W+/cz+s3e55F5GKy+087q8c4xzvc+fweEpGnk/V73/k8bBWRfs62GsAPzrizOV+DGs7+Lzj77xCRb5I/toj0de5njYiE3SzWu7V2zSrub9YCEaFs2fLExV0kNjbGpU9sbAyXLl2ibNnyiAj3N2vBmjUrAciePUdSvytXLkOy4tXcP36jXv2G5M6Tx51DSJddBw5RMG8oBcJC8PPzpXn9Wixfv9mlT77QYEoWLYSPT8oK3J6DR4g9e57alctnVMi3tHfffvLny0f+vHnx8/OjSaMGrFyzzqXPqjXraNnsfgAaNajH5q3bki7dsnL1WvLmDaVI4cIu21S6rwIBAQEZM4h02nngCIXyBlMwLBg/X19a1K3Gsg3bXPrkD7FSqkiBFBVUwVEVSkhMJCEhkcREG0G5c2Vg9Dd3N2M7fOI0VcuVxNdiIVtWf0oVLsDqrbszMvxb2nXgcMr33oYtLn3yhQZTskghfFKpfu85eITYc+epXblCBkV8b8Wu2EBC7DlPh3Fbrn225Ev22bJqzVqXPml9tmTN6o/FYgEgPj7B5TshKjqates38GDLFhk2lnvFbjduuWU2t30iljHmEGABQm9o2gM0NMZUBXoDyQ/v1wKeAioBz4hIDREpBzwH1HdWRW3AS8aYD7he3X0prX5AFaCAMeY+Y0xFYHIq4T4KbE9rHyKSD/gcR7LaAEgrI5gMvJ5s2+SqAU8bYxoDHwH/GGNqAfcDA0QkB/AacM4YUxOoCXQUkWLO7Us4k8otIjIyjcdPLp8z1keAfgAi8iDwGFDbGFMZ6G+M+RnYgOM5rWKMSSp/iEh+4BugKY7nsaaIPO5szgGsce5nOdAxHTHdsZjoaEJCQpKWrcEhxERHp+gTHHz9kH/wDX2mTZ1E+zYvsGzpP7z0SrukbdasWsmDD3vH4bCo2LOEBgclLYdaA4mKPZuube12O8OnzqRb22fdFN2diY6JJTTk+usSEmwlJsb1B0dMTAwhzj4Wi4Uc2bNz/vwFLl++zIyff6HNC89laMx3KurMOcKsgUnLYdZAos6kLxGoVLo41cuX4sE3PqLVG/+jTuVyFCuQ112h3ra7GVupIo4k9crVeM6ev8iGXfuIiDnjrlDvSFTsGUKTjS80KJCodMZot9sZ/t1MurV5xl3hqVREx8QmfW4ABAdbiY6JdekTk6xP8s8WgN1799HhzW506vo2b7/5RlISO3rcRDq2b5vqjxOVOdzLE7FyA1NFpBRgcMyBvWaRMSYGQER+wZF0JQLVgfXOX+/ZgMhU9tssjX5/AMVFZAQwD1iYbJsBIvIxEIUjYUxrH7WBpcaYKGdsPwEux19FJA8QkGxe7HQcCWPysV17N7UEWl+r0AJZgcLO9ZWSVUZzA6WAfTinB6Qy7rT8ZoyxA7uSVUGbA5ONMZcAksWTlpq4jvsHoBHwGxAPzHX224hjSkgKItIJR9Wdz7/8muee99w8r1fatueVtu2Z9dN05v3xOy++3Jbx40bRtn0HfHwy/wUyZi9YQr1qFQm1Bt26cybx3fSfeOrx1mTLls3Tobjd8dNRHDkRwbyRXwLQ9asRbN5zgKplS3o4srtXp1I5dh08SvtPBxEYkJOKpYr9J95z18xesPQ/9977/6BcmdJMGDWCo8ePM2DwcGrVqMamLVvJkyc3pUuWZOu27Z4O8bbpHxdwuO2kVUSK46g2RgLlkjV9ASwxxjwhjhOMliZru/HZNjiK9lONMR/e6iHT6icilYEHgM7As0B7Z9N7zkrjtX73p7aPZNXFuxF3Q6xPGWOSn1iFODLlbsaYBTesL5rGPpM/X1lvaLt6w+Pdawnm+rvDRhr/R4wx44BxAHsPHr+td9O8P35n4YL5AJQqVZqoqKiktpjoKKzJqqoA1uBgopNVVqNT6QPQ5P5mfP7pR7z4clsO7N/HwH59ATh//hwb16/D4mOhTr36KbbLCCFBeYiMvv5bIjLmDCFBedK17Y69B9m6Zz+zFyzh8pWrJCQmkj2rP2++/PStN3ajYGsQkVHXX5eo6BisVqtLH6vVSlRUNCHBwdhsNuIuXSJXrgB2793H8pWrGD95Khfj4vARH7L4ZeHxRx+68WG8QkhgbpcKYkTMGUICc6dr26Xrt3JfqaJkz+oPQN3KFdi+77DXJK13MzaA9k+0ov0TrQD4eMRkiuS78SCcZ4UEBRKZbHyRsWcISVZ5vZkd+w6ydfd+Zi9Y6lXvvf+6YGsQUVHJP/NjCL7hh4PV2efGz5bkihQqRLZsWTl89Bg7d+1h9dr1rNuwkfj4BC5dvkS/gUP4oGdqMwu9j9E/4wrcZtIq8n/t3XeYVPX5/vH3zYIUKQIL2LChUowVEXuXxKjRGP1GkxiNBWsUjTXxZxJjojEW7MZgjDUqxm6i2LsgYEFQxC4WqiKC0ub5/XHOwi4uILsze2aO9+u69to5ZXfuA7uzz3zOp6gLcDVweUTEYv2bOgAfpY8PWexLd5PUCfgK2IekuJwN3CPp4oiYnB5vFxHvA/MktYiIecCj9Z1HUizOjYj/SBoP3MSSLel7DAcukdQZ+ALYH3il9hdGxOeSZkrqHxHDgQOW8jwPAb+W9Ov032fTiHgp3X+0pMciYp6k9Wv9W9VnUtqlYTzwY2DmUs4FeBg4S9LNETFbUqe0tXVmep2LGwFcKqka+Aw4ELhsGc9RNHvstTd77LU3AC+OeIEH7ruH7XfYifHjX6fNiivSqVPdwqdTp860adOGN94YR8+evXn80YfZ80f7APDxRxNZdbWkU/3wF55j9dW7AzDkukU/DoMvOp9+W2yZWcEK0Hvdtfnwk0l8PGkKXTp15JFnR/DHQQO/1dfWPu+Bx5/h9bffL4s/mj3XX4+PPv6ETz6dRHXnTjzx1DP89pS6fwC27t+PYY8+Tp/evXjqmefYZKMNkcTg8xf1Hrr+5ltp3bpV2RasAH16rMkHn07ho8lT6dppJR5+fjR/Ou6Qb/W13ao7cvdjzzF/wQIIGP36BA7cfafSBl4Ojbm2BYUCM2fNZqV2bZnw/kdM+OBj/rBRr9IGXk69113rm797J3y7Xk+1z3vg8Wd5/e33yuJ3L+/qe20545ST6pyzVf8t6n1t+eTTSXTtUk1VVRWTJk/mg4kTWblrVw475CAOO+QgAF55dQxD77qnYgpWW+TbFK2tJb3MoimvbgQuque880m6B5xJcru+thHAf4DVgZsiYiRAeu4wSc2AecCxwPskLXivShqd9mut77yvgOvSfQBLbLGNiHH1fY+IeEHSH4Dngc+Bl5fwLQ4D/iGpADxJMp1Wff4EDE6zNwPeJelKMARYCxidtrpOISnel+R0klv0U0j6pbZdyrlExIOSNgFGSpoL/JdkBoZ/AVdL+grYqtb5n0g6HXicpLX2gYi4Z2nPUSqb9+vPqBdHcORhv6Rly5Ycf+IpC4+dcNyRXHJ5MvnDUccczyUX/425c+aw2eZb0HfzLQC4/rohfPTRRCTRtWs3jjluUBaXsUzNq6r4zeE/Z9A5F1MoFNhz521Zp/tqXHPr3fTusRbb9duEcW+9y+nnX8HMWbN4ZuQrDLntHm4Z/Kesoy9RVVUVvz7qCE4/648UCgV+sNsurLXmGvzrpltYf7112br/Fuw+YFfOu3AwvzziaNq1bcvvTvvNMr/vn8+/kFfGjGXGF19wwMGHc/DPD2D3Abs2wRUtWfOqKk495P84/twrkinLdtySHt1X4eqh99N77TXYYfONGPv2+5x60T/4YtZsnhk9hr8PfYDbLziTXfpvysixb3LgqX9BEltt3Jvt+26Y6fXU1phrmz9/AQP/OBiAFVu34uxjD6Z52n+wXDSvquI3h/2MQX8enPzu7bRN/b97f7sy+d0b9QpDbr+XWy4+O+voRbHJjRfSeYctWKG6Izu/+yQTzr6MD6+7Y9lfmKGqqiqOO+oIzjjrjxQKC/j+brsu8bXl4COOol3bdgtfW14bN47b7riTqqoqmjVrxvFHH0mHMhr42FAFdw8AQO4nsWyS2kbEl+nj04FVIuKEjGOVjeXtHlBpusx+P+sIJTOrVb776nWYubQbGlbu5jdfvHdUvjzft7KmoloeG467O+sIJbXGer2bdDTXyVfNLsnf2QuOblNRo9K8Ita3s4ekM0j+vd7nm90fzMzMzErCDYwJF63fQkTcBtyWdQ4zMzOz7yoXrWZmZmZlrBIXAigFF61mZmZmZcy9AxL5mQXazMzMzHLLLa1mZmZmZSzcPQBwS6uZmZmZVQC3tJqZmZmVMS8ukHDRamZmZlbG3D0g4e4BZmZmZlb23NJqZmZmVsbc0ppwS6uZmZmZlT23tJqZmZmVMTe0Jly0mpmZmZUxdw9IuHuAmZmZmZU9t7SamZmZlbHwPK2AW1rNzMzMrAK4pdXMzMysjBXcpxVwS6uZmZmZVQAXrWZmZmZlLCJK8tEYkjpJeljShPRzx3rO2UnSy7U+vpa0T3rsX5LerXVsk2U9p4tWMzMzszIWhSjJRyOdDjwaEesBj6bbdXNHPB4Rm0TEJsDOwGxgWK1TTqk5HhEvL+sJXbSamZmZ2fLaG7g+fXw9sM8yzt8P+F9EzG7oE3ogljXaqvcPzjpCSVVttmXWEUqmZfOpWUcoqfGdt8s6Qkm1qfoq6wgl1aYwM+sIJbXhuLuzjlAyY/rsk3WEklpj3vgmfb5SLS4gaSAwsNauayLimm/55d0i4pP08adAt2WcfwBw0WL7/izpLNKW2oiYs7Rv4KLVzMzM7DsoLVCXWKRKegRYuZ5Dv1vs+4SkJVbWklYBNgQeqrX7DJJid4U0w2nA2UvL66LVzMzMrIwVMlpcICJ2XdIxSZMkrRIRn6RF6eSlfKv/A+6KiHm1vndNK+0cSdcBJy8rj/u0mpmZmZWxMh2IdS9wcPr4YOCepZx7IPDv2jvSQhdJIukP+9qyntBFq5mZmZktr/OA3SRNAHZNt5G0uaQhNSdJWgvoDjy52NffLGkMMAaoBs5Z1hO6e4CZmZlZGWvsnKqlEBHTgF3q2T8SOLzW9nvAavWct/PyPqdbWs3MzMys7Lml1czMzKyMFUo05VWlcdFqZmZmVsZKNU9rpXH3ADMzMzMre25pNTMzMytj5TgQKwtuaTUzMzOzsueWVjMzM7MyFoVC1hHKgltazczMzKzsuaXVzMzMrIx5yquEi1YzMzOzMuaBWAl3DzAzMzOzsueWVjMzM7My5sUFEm5pNTMzM7Oy55ZWMzMzszLmltaEi1YzMzOzMlYIz9MK7h5gZmZmZhXALa1mZmZmZczdAxIuWnNO0j7AXUDviHgj4zhLVbVmT1rtsA+oGfPGDmfuyMfqHG/eux8tt92TmDUDgHmvPMu8scMXnbBCS1b8xanMf+c15jxxVxMm/3aefe1N/vbv/1IoFNhnu74c+sMd6hy/cdiz3PX0SJo3a0bHdivy+1/9mFU7dwTgk2mfc/b1dzFp+hcguPyEX7JqdccsLmOJnn11PBfcci8LCsGPt+/Hr/bcqc7xmx58irueepGqmus7bP861/DlV1+z328vZMfNNuD0g/Zp4vTLFhFcf83FvDzqeVZo2YqjTziTtdft+Y3zbrvhap56/EFmfTmTfw19dOH+1197iRv+cQkfvPc2x5/6R/pvs3NTxv+GiOAff7+CUS8Op2XLlpxw0qn0WHf9b5z31oQ3ufSi85kzdw59+/XniCOPRdLC43ffeTvXDfk7N/77Ttp36MATjz/CnUNvhYBWbVpz9LGDWHudHk15aQC8OGo0V14zhEKhwO4DduOA/X9S5/jcefM4/6LBTHjrbdq3a8fvTjuZlbt1443xb3Lx5VcmJwUc9LMD2HbrLQH48ssvuejSK3jvgw8AcfIJx9Gnd68mvrJEKa4PYMGCBRx74slUd+7MOb8/sykvqUE2+sdf6PrDHZk7eRpPbbpX1nGsxFy05t+BwDPp599nnGXJJFrtuC+z7/o78eUM2hwwiPnvjKUwfVKd0+ZPeHmJBWnLLX/Ago/faYq0y21BocB5N9/HVSf9im4d2/Pzc65mh01602PVrgvP6bXGKtx85tG0brkCtz8+nEuGPsRfjzoAgP937R0cvseObLnBusz+ek6doqEcLCgU+OuNd3PlKYfTrVMHfvHHy9lh0z6ss1q3hef0XHM1bvr9lrRuuQJDH3ueS27/L3895ucLj1915zA267lOFvG/lZdHPc+nH0/k4r/fzlvjx3LtVX/jnAuHfOO8zbbYlgF77seJR/60zv7qLitz1KAzeeCuW5oq8lKNGjmCTz6ayNVDbuDN8a9z1eWXcMHgK75x3tVXDObYE05i/Z69OfusMxg9cgR9+/UHYMqUybw0ehRduiz6Oe7WbRX+8teLaduuHaNeHM4Vl15U7/ctpQULFnDZVX/nr+f8kerOnTnuxFPYqv8WrLlG94XnPDjsYdqu2Jbr/3E1jz/5NEP+dQNnnnYKa625JlcOvpCqqiqmTZ/OUb8+ka3696Oqqoorr7mWzftuxlm/PY158+YxZ86cJr2uUl8fwF333s8a3Vdn9uyvMrm25TXx+jt578qb2OSff806Skm5pTXhPq05JqktsC1wGHBAuq+ZpCslvSHpYUn/lbRfeqyvpCcljZL0kKRVmiprs25rUJgxjfhiOhQWMP/Nl2i+zgbf/uu7ro7atGP++2+WMGXDvfbuRLp37czqXTrRonlzvr/Fhjzx8ut1zunXax1at1wBgI16dGfSZ18A8PbHk1lQKLDlBusC0KZVy4XnlYvX3vmQ1bt1ZvWunZPr678xT7w0rs45/Xr3WJh7wx5rMHn6jIXHxr03kWkzZrLlBus1ae7lMeqFp9lu5x8gifV6fY/Zs77ks+lTv3Heer2+R8dO1d/Y36XbKqy59rpI5fGyO+KFZ9lplwFIomevPsya9SXTp0+rc8706dOYPXs2PXv1QRI77TKA4S88u/D4tddcySGHDqzzJqp3nw1o264dAD179WHatClNc0G1jH9zAquusgqrrLwyLVq0YMftt+W5F4bXOee5F0YwYJfkbsD2227NS6+8SkTQqlXLhQXc3LnzIL20WbNmMWbsWHYfsCsALVq0oG3btk13UbWU4voApkydyvAXR7L7gN2a7Foaa/ozI5lX67UkryKiJB+Vxi2t+bY38GBEvClpmqS+wNrAWkAfoCvwOvBPSS2Ay4C9I2KKpJ8CfwYObYqgzdp2oDDz84XbhS9nULXyGt84r/m6G1G12joUPpvCnKfuJb78HBAtt9uLrx+6haru37y9WQ4mf/YF3Tp2WLjdrWN7Xntn4hLPv/vpUWyzYVLAfTBpKu3atOY3V9zCR1M/o3+fHhz/kwFUNSuP4gdgymczWLnTSgu3u3bswGvvfLDE8+9+6kW22Si5tV4oFLj43w9wzpE/ZfjYt0odtcGmT5tC5+pFLcedOndh+rQp9RaolWDa1KlUd+mycLu6ugvTpk6lU6fOdc7pXL3onM7V1UybmhTqw59/ls6dq5d66//hYf9js75blCD90k2dNp0uXRb9v1RXd+aN8RPqnDOt1jlVVVWs2KYNX3wxkw4d2vP6+De58JLLmDR5CqedNIiqqio+mTSJDu078LfBl/LOu++x3ro9OGbg4bRu1apJrw1Kc30AV11zLUccejBfVUgrq333lM9fPSuFA4Fb08e3ptvbAkMjohARnwKPp8d7At8DHpb0MnAmsPqSvrGkgZJGShp53XOvlip/HfPfHcus685h9s0XsuCDN2k1ILl13mKjrVnw3hvEl/l4t/3A8y8z7v2POPj72wEwf0GBlya8x4n/9wNuOvMoJk6Zzr3Pjs44ZcM98Nxoxr07kV/unvTpvf2xF9hm4550q1X0Wnmb8/XXDL3tFn520CFLPOfVV17ikWH/4+BDj2i6YEXSu+f6DLnyMi6/+G/cOvQ/zJ07lwULCkx4+232+uHuXH3pxbRq2Yrbhv4n66gNUt/1vTDiRVZaqQPrr7tu1vGsHoVCoSQflcYtrTklqROwM7ChpACqgCAZlFXvlwBjI2Krb/P9I+Ia4BqAmZf8ptH3GApfzqBFu5UWbjdr2+GbRejXsxc+nDd2OC233ROAqlXWomq1tWmx0dbQoiVqVkXMm8vcZx9obKyi6dqxPZM+W3Q9kz77gi4d23/jvBfGvcW1DzzJkFMPY4UWya9nt44dWL/7KqzepRMAO23amzFLaaXNQpeOHfh0+ucLtyd/NoOutVqWawwfO4Fr73uMIWcctfD6xrz1Pi+9+S5DH32Br+bMYd78BbRp2ZLj/2/3poq/RMMe+A+PPXQvAOus14tpUxf1sZ4+bQqdOndZ0peWpQfuu5uHH/ovAOuu15OpUxbdup86dQqdq+u2Gictq4vOSVpeq/nkk4+ZPOlTBh07cOHXnnj8UVxw8RV07NSJ9959mysuuZCzzj6X9u2/+XNQatWdOzFlyqKuG1OnTqO6c6c653ROz+lSXc2CBQuYNXs27du3q3POmt2707p1K959/wO6VHemS3VnevdM7uZsv81W3HrHnaW/mHqU4vrGjnuD54e/yIiRo5g7dx6zv5rNeRdczOknn9gk12T2bbhoza/9gBsj4siaHZKeBKYDP5F0PdAF2BG4BRgPdJG0VUQ8n3YXWD8ixjZF2MKkD2m2UjVq34n4cgbN19+Urx+8qc45atOOmD0TgObrbEBh+mQAvn7o5oXnNO/dj6puq5dVwQqwwVqr8cGkaXw0ZTpdO7bnoRFjOPeI/euc88YHH/PnG+/h8kEH06n9or5yG6y9GjNnf830mbPo1G5FXnz9HfqstVpTX8JSbbD26nxY+/qGv8Jf0kFkNd54/yP+/K87ufw3h9W5vj8fdeDCx/c+PZJx700si4IVYMAeP2HAHsmo7NEvPsuw+//D1tvvxlvjx9KmzYoV1zVgj732YY+99gFg5IgXeOC+u9luh514c/zrrLjiinW6BgB06tSZNm3aMP6NcazfszePPzqMPX70Y9Zaex1u+PeiVsYjDvkZF15yFe07dGDK5Emce84fGHTyGay2eney0HP99fjo40/45NNJVHfuxBNPPcMZp5xU55yt+m/BsEcfp0/vXjz1zHNsstGGSOKTTyfRtUs1VVVVTJo8mQ8mTmTlrl3p0KE9Xaqr+XDiR3RffTVeeuXVOgOfKv36DjvkIA475CAAXnl1DEPvuscFaxnxQKyEi9b8OhBYfDjlf4DewERgHPAhMBqYERFz0wFZl0rqQPKzMRhokqKVKPD1E3fSZp+BIDFv3AgK0yexwpbfZ8GkiSx4dywtNtkuGZxVKBBfz+brh29d9vctE82rqjjtZ3tyzODrKRQK7L1NX3qs1o0r736EPmutxo6b9ObioQ8y++u5nHp1cl0rd1qJS379C6qaNeOk/X/AURf8kwB6r7kq+26/ebYXtJjmVVWc9ou9OfaCaykUCvxou370WG1lrrpzGH3WXp0dNu3D4Nv+y+w5czn1iuTNyMqdV2LwoEOyDb4cNt18a14e+TyDBu5Py5atOPKE3y08dvrxB3PepdcDcPN1V/Dck8OYO+drjj1kb3YasBf7/exw3n5zHBf95QxmfTmT0S8+w9Cbr+WCK29e0tOVXN9+/Rn54nCOOuwgWrZsxa9PPGXhsUHHDWTw5dcAcOQxJ3Dpxeczd84cNtt8C/puvvQ+qrfeciMzZ37B36+8BIBmzaq46NKrSnch9aiqquK4o47gjLP+SKGwgO/vtitrrbkG/7rpFtZfb1227r8Fuw/YlfMuHMzBRxxFu7bt+N1pvwHgtXHjuO2OO6mqqqJZs2Ycf/SRdOiQ3BU59qgjOPeCi5g/fz6rrNyNkwcd36TXVerrq0Sb3HghnXfYghWqO7Lzu08y4ezL+PC6O7KOZSWiShw9Zo0jqW1EfCmpMzAC2Cbt39ogxegeUM6qNtty2SdVqGjeIusIJTW+83ZZRyipNlX5HjDTpjAz6wjWQGP67JN1hJLaY974Jp13cI/DXyvJ39kHhnyvvOZPXAa3tH433S9pJWAF4E+NKVjNzMystNw9IOGi9TsoInbMOoOZmZnZ8nDRamZmZlbG3NKa8DytZmZmZlb23NJqZmZmVsYKUXkLAZSCi1YzMzOzMubuAQl3DzAzMzOzsueWVjMzM7MyFgV3DwC3tJqZmZlZBXBLq5mZmVkZc5/WhItWMzMzszIWnj0AcPcAMzMzM6sAbmk1MzMzK2MFdw8A3NJqZmZmZhXALa1mZmZmZcxTXiXc0mpmZmZmZc8trWZmZmZlzFNeJVy0mpmZmZUxT3mVcPcAMzMzMyt7LlrNzMzMylgUoiQfjSFpf0ljJRUkbb6U834gabyktySdXmv/2pKGp/tvk7TCsp7TRauZmZmZLa/XgH2Bp5Z0gqQq4Apgd6APcKCkPunhvwIXR8S6wGfAYct6QhetZmZmZmUsCoWSfDQqU8TrETF+GadtAbwVEe9ExFzgVmBvSQJ2Bu5Iz7se2GdZz+mBWNZo7U64UE35fJIGRsQ1TfmcTSXP1wZNf32bNdUTpfz/V9nyfH1NfW1rzFtWLVNcef6/A3jmvh1K8ndW0kBgYK1d1xT533E14MNa2xOB/kBn4POImF9r/2rL+mZuabVKNHDZp1SsPF8b+Poqna+vcuX52iD/11cSEXFNRGxe66NOwSrpEUmv1fOxdxZ53dJqZmZmZt8QEbs28lt8BHSvtb16um8asJKk5mlra83+pXJLq5mZmZmVwovAeulMASsABwD3RkQAjwP7pecdDNyzrG/motUqUW77LZHvawNfX6Xz9VWuPF8b5P/6yo6kH0uaCGwFPCDpoXT/qpL+C5C2oh4HPAS8DtweEWPTb3EacJKkt0j6uF67zOdMil0zMzMzs/LlllYzMzMzK3suWs3MzMys7LloNTMzM7Oy56LVzMzMzMqe52m1iiBpReCriChIWh/oBfwvIuZlHK0oJK0JrBcRj0hqDTSPiJlZ5yqWvF9fDUkdge4R8WrWWYopXT+8G7X+ZkTEB9klajxJJy3teERc1FRZbPlJ6gb8BVg1InZP17PfKiKWOQLdKpeLVqsUTwHbpUXBMJK5334K/DzTVEUg6QiS1Vw6AT1IJlm+Gtgly1zF8h24vieAH5G8no4CJkt6NiKWWhRVCkm/Bn4PTAJqFisPYKPMQhVHu6wDlJqkLsARwFrUfcNxaFaZiuhfwHXA79LtN4Hb+BbTJlnlctFqlUIRMVvSYcCVEXG+pJezDlUkxwJbAMMBImKCpK7ZRiqqvF9fh4j4QtLhwA0R8XtJeWppPQHoGRHTsg5STBHxx6wzNIF7gKeBR4AFGWcptuqIuF3SGZDMByopb9doi3HRapVCkrYiaVk9LN1XlWGeYpoTEXMlASCpOUlLVl7k/fqaS1oF+D8WtfrkyYfAjKxDFJukS5d2PCKOb6osJdQmIk7LOkSJzJLUmfS1RNKW5PDn1Opy0WqVYhBwBnBXRIyVtA7JEnB58KSk3wKtJe0GHAPcl3GmYsr79Z1NstrLMxHxYvqzOSHjTMX0DvCEpAeAOTU7c9Dn8yjgNeB24GNA2cYpifsl/TAi/pt1kBI4CbgX6CHpWaALi5YEtZzyilhWUSS1iYjZWecoJknNSFqPB5D84XwIGBI5+eVU0sR6ODm9vryT9Pv69lf67fW0lW5/kr7x80n6Q94REZ9nmauYJM0EVgTmAjWDViMi2meXqnjSuzY9SV5XxudlYK4tmYtWqwhp14BrgbYRsYakjYEjI+KYjKMVlaROwOp5GX2ejjofGxG9ss5SKpLOB84BvgIeJBmgdGJE3JRpMPvWJK0OHEDSendaRNyYcSRbBkn71rN7BjAmIiY3dR5rGu4eYJViMPB9kttBRMQrkrbPNFGRLGH0+XMRcWKmwYogIhZIGi9pjUqfImkpBkTEqZJ+DLwH7Esy20VFF62SBkfEIEn3UU8f5Ij4UQaxik7SZsCBwG7A/0h+B3ND0o+AmtfKJyLi/izzFNFhwFYs6ia2I8n/3dqSzvYbj3xy0WoVIyI+rBnMk8rLSNG8jz7vCIyVNAKYVbMzL0UPi15H9wCGRsSMxX5OK1XNH/0LMk1RIpLOJvk/ex24FTgjIuZnm6q4JJ0H9ANuTnedIGmbiDgjw1jF0hzoHRGTYOG8rTcA/UneNLpozSEXrVYpPpS0NRCSWpBMw/N6xpmKJe+jz/9f1gFK7H5Jb5B0Dzg6nRvz64wzNVpEjEo/P5l1lhI5E3gX2Dj9+Ev6ZkMk/T4rfR5agB8Cm0REAUDS9cBLJINaK133moI1NTndN12S+7bmlItWqxRHAZcAqwEfkSwwcGymiYqnZvT5s3kcfZ7jogeAiDg97dc6I+0OMRvYO+tcjSVpDEuZmiwHRd3aWQdoIisB09PHHTLMUWxPSLofGJpu/yTdtyLweWaprKQ8EMvMSiodwVzzQrMC0AKYlaMRzG1IBvCsEREDJa1HMhl/RfcdTJfeXaKIeL+psjQVSdXAtLzMbCHpQOA8kn6fIunbenpE3JZpsCJIZyXZF9g23fUZ0C0i8tKYYfVwS6uVNUmnpqtfXUb9g0EqfgLwdOTyZcA26a6ngRMiYmJ2qYonIhYul5n+odkb2DK7REV3HckAkK3T7Y9IWn8qumjNY1FaWzoZ/XkkrZB/IukDWQ00k/TLiHgwy3zFEBH/Tgd69kt3nRYRn2YYqWgiIiS9Q/Jasj9JV4//ZJvKSs1Fq5W7mn6rIzNNUVrXAbeQvPAC/CLdt1tmiUokbcG6O5378/Ss8xRJj4j4adqqRbrccC5GYkGuW8ovB35Lcsv8MWD3iHhBUi/g3yTTl1UkSb0i4o10ZgSAmjfAq0paNSJGZ5WtsSStTzLbw4HAVJL5dRURO2UazJqEi1YraxFxX/r5+qyzlFCXiLiu1va/JA3KKkyxLTafYjNgc3IwUKmWuZJas2g5yR7UWjmq0uW4pbx5RAyDZCaBiHgBIC32sk3WeCcBA4EL6zkWwM5NG6eo3iC5G7VnRLwFIKnipwe0b8dFq1UESQ8D+9esViOpI3BrRHw/02DFMU3SL0hadyBpQZiWYZ5i26vW4/kkc5lW/EClWn5P0irXXdLNJN08Dsk0UYnkrKW8UOvxV4sdq+g+rRExMH24e0TUeYMoqVUGkYppX5KFIB6X9CDJdGUV/y7Dvh0PxLKKIOnliNhksX0vRcSmGUUqmnTAy2UkE2UH8BxwfI4n48+ddEnQLUn+eL4QEVMzjlQ0S2gp3yEitsooUlFIWkAyb7CA1kDN8tACWkVEi6yyFYuk0RGx2bL2VaJ0loC9Sd7k70wyR+tdNa3nlk9uabVKsaD2qkppoZeLd1zpgJe8TLT/Dd+RZU5bkYxebg70kUREPJVxpmLJZUt5RFRlnaFUJK1MMj1ga0mbsqglsj3QJrNgRRQRs0jGAtyS3nnbHziNZDpEyym3tFpFkPQD4BrgSZIX4O2AgRHxUKbBiiCd8PuExbo+XBgRh2YarEhqWsnTZU73JOlv91REbJxxtKKQ9Ffgp8BYFt1yjhyt+GUVRtLBJF1UNgdeZFHR+gVwfUTcmVE0s0Zx0WoVI51DsWYASG5uwdbXzSEvXR8AJL0WEd+TNAS4IyIelPRKjorW8cBGEZGbwVe1fUdaynNJ0k8iwtNAWW40yzqA2XJoSTKn4hckt2C3zzhPsTRLW1cBkNSJfHXdqVnmtC/waF6WOa3lHZJpoPJqQER8QdJK/h6wLnBKpons2+oraaWaDUkdJZ2TYR6zRsnTH0bLsSXdggXy0G/wQuB5SUNJbuPtB/w520jFU88yp7PIQZ/IWmYDL0t6lFpTXeVh4YtUzd+JPYChETEjB1NCfVfsHhG/rdmIiM8k/RA4M8NMZg3motUqxT4kS2Pm7hZsRNwgaSSL5k7cNyLGZZmpmCTtDzyYFqxnApuR3G7Oxco8wL3pR17VtJR/BRydw5byPKuS1LLmdTOdT7hlxpnMGsx9Wq0iSPofyTytX2adpdgkrVHf/rxMeSXp1YjYSNK2JMXq34CzIqJ/xtGKQlLfiBi12L49I6Kil3GtLe2yUtNS3gZon5flQPNM0mkksz/ULF7yK+DeiDg/u1RmDeei1SqCpP8AGwO5uwUraQyLpu9qDawNjI+IDbJLVTw1g8oknQuMiYhbcjbQbDTwy4h4Ld0+EBiUl6IcQNLWwFrUujsXETdkFsi+NUm7A7ukmw/nYcYV++5y0WoVIZ3C5RvyuLxrul74MRFxeNZZikHS/cBHwG4kXQO+AkbkaPaAdYA7gJ+RTMX2S5IlJmdkGqxIJN0I9ABeBhakuyMPbxjNrLK4aDUrQ5LGRMSGWecohvR28g9IWlknSFoF2DBPK9dIWh+4G/gA+HFELL4saMWS9DrQJ/zHouKkq5n9FehKMshTJG842mcazKyBPBDLKoKk9YBzgT4kqw8BEBHrZBaqSCSdVGuzGUlr5McZxSm6iJgtaTKwLTCBZFWlCdmmarzFunUAdAKqgOHpilgbZZOs6F4DVgY+yTqILbfzgb0i4vWsg5gVg4tWqxTXAb8HLgZ2IhlQkJd5htvVejwfeADIzYTgkn5PsjJPT5L/xxbATcA2WeYqgj2zDtBEqoFxkkZQtz+5V/wqf5NcsFqeuHuAVQRJoyKib+3b5jX7ss5mSyfpZWBTYHTN4KuaGQUyDVYkkrYExkbEzHS7PdA7IoZnm6w4JO1Q3/6IeLKps9jykXQJSSv53dR9w+FlXK0iuaXVKsUcSc2ACZKOIxnY0zbjTI0i6T7q3l6uI0ctWXMjIiQFgKQVsw5UZFeRdOmo8WU9+yqWi9OK1p5k8YsBtfYF4KLVKpKLVqsUJwBtgOOBP5FMxF/vjAIV5IJ69tUUsXlacuh2SX8HVpJ0BHAo8I+MMxWTag9SioiCpIp/bZU0k/rfVHkwT4WIiF9lncGsmNw9wCwjkvYGVo+IK9LtEUAXkkLhtIgYmmW+YlCy3ufqQC+S1h4BD0XEw5kGKyJJdwJPkLSuAhwD7BQR+2SVyQxA0nXU88YjIg7NII5Zo7lotYqQTil0CrAmdSc433mJX1TmJD0LHBARH6bbL5NMAr4icF1E7LKUL68YeZq+qz6SugKXkrT+B8kCGIMiYnKmwew7T9JPam22An4MfOw5dq1SVfwtLPvOGApcTXJbecEyzq0UK9QUrKlnImIaMC1n/T5HS+oXES9mHaQU0uL0gKxzmC0uIurMQiLp38AzGcUxazQXrVYp5kfEVcs+raJ0rL0REcfV2uzSxFlKqT/wC0nvAbNY1CeyomcPkHRqRJwv6TLqvwXr1iwrN+uRLDRgVpFctFqluE/SMcBd1J26ZXp2kRptuKQjIqLOoCRJRwIjMspUCt/POkCJ1Mx/OTLTFGZLUM9guk+B0zKKY9Zo7tNqFUHSu/XsjkpeESvtC3k3SRE+Ot3dF2gJ7BMRkzKKVhTp9f0WWBcYA5wbEV9km8os/yQ1j4j5WecwKzYXrWYZk7QzsEG6OTYiHssyT7FIehAYBTxFsnpUu4g4JNNQJZAOEjwZWIucDBK0yiZpdERslj6+LCJ+nXUms2Jw0WoVQdK+9eyeAYzxKO3yJOmViNi41vbCP6R5IukVkkGCo6g1SDAiRmUWyr7TJL1Ua/W5XP7e2XeT+7RapTgM2Ap4PN3ekaRIWFvS2RFxY1bBbMkkdWTRQglVtbcrvD9ybXkcJGiVza1RlktuabWKIOkh4Jc1/TwldQNuAA4EnoqI72WZz74pnS2gQP2re1V0f2QASZ3Sh8cDk8nXIEGrYJJmA2+R/O71SB9DTmbusO8ut7Rapei+2MCkyem+6ZLmZRXKliwi1so6Q4mNImnRqinKT6l1LICKLsqtovXOOoBZKbhotUrxhKT7SRYZANgv3bci8HlmqWyJJC21H11EjF7a8Qrws4h4PusQZouLiPdrHktaE1gvIh6R1Br/3bcK5u4BVhHSNez3BbZNdz0L/Cf8A1y2JNX0P24FbA68QtIquREwMiK2yipbMXiAi5U7SUcAA4FOEdFD0nrA1XlZItq+e/yOyypCRISkkcCMtMWgDdAWmJlxNFuCiNgJQNKdwGYRMSbd/h7whwyjFUt9fXXNysmxwBbAcICImJDOn2xWkVy0WkWo3WJAMrBgNZJphtxiUP561hSsABHxmqQ89LlbW9K9SzoYET9qyjBm9ZgTEXOTG1XJogN4ZgGrYC5arVK4xaByvSppCHBTuv1z4NUM8xTLFODCrEOYLcWTkn4LtJa0G3AMcF/GmcwazEWrVQq3GFSuXwFHAyek208BeZjXdGZEPJl1CLOlOJ1kjusxwJHAf4EhmSYyawQXrVYp3GJQoSLia0lXAI+QvNEYHxF5mKbsvawDmC1NRBQk3UQyl/X4rPOYNZZnD7CKkM4ecDgwgGQAzEPAEM8eUP4k7QhcT1LkCegOHBwRT2WXqrgkbQ2sRa2GgIi4IbNAZoCkHwF/A1aIiLUlbQKc7f7WVqlctFrZk1QFjI2IXllnseUnaRTJnKbj0+31gX9HRN9skxWHpBtJBge+DCxId0dEHJ9ZKDMW/u7tDDwREZum+8ZExIbZJjNrGHcPsLIXEQskjZe0RkR8kHUeW24tat+ajIg3JbXIMlCRbQ70cau/laF5ETGjZixAyj+nVrFctFql6AiMlTQCmFWz07e5KsLIemYPGJlhnmJ7DVgZ+CTrIGaLGSvpZ0BVurDA8cBzGWcyazB3D7CKIGmH+vZ79Hb5k9SSZMqymtXMngaujIg52aUqnnTlr02AEcDCa/IbKstaugjL70jGAkAyFuCciPg6u1RmDeei1cqapFbAUcC6JNO2XBsR87NNZctL0gpAT/I1ewDgN1RWntKxAI/UrExnlgfuHmDl7npgHknr3O5AHxbN92kVoL7ZAyTlZvYAF6dWjtKxAAVJHSJiRtZ5zIrBLa1W1mqPdE0XFBgREZtlHMuWQ15nD5D0TERsK2kmdQe3iGT2gPYZRTMDQNI9wKbAw9QdC+CZLawiuaXVyt3C28gRMX+xUbBWGXI5e0BEbJt+bpd1FrMluDP9MMsFt7RaWZO0gEUtBAJaA7Nxa1bFkPRPoEDd2QOqIuLQ7FIVj6TDIuLaxfadFxGnZ5XJzCyP3NJqZS0iqrLOYI12NMnsATW3JJ8GrswuTtH9RNLXEXEzQLpkbeuMM5khaQzfnJd1BsmUc+dExLSmT2XWcG5pNTNrBEmtgXuBfwI/AD6PCA8WtMxJOp9klbZb0l0HAG2AT4FtI2KvrLKZNYSLVjMriSW08iwUERs1YZyik9Sp1mY74B7gGeAsgIiYnkUusxqSRi8+cLVmn5dztUrk7gFmVip7Zh2gxEaRFOWq9fmH6QfAOhnlMqtRJWmLiBgBIKkfUNPlyvNdW8VxS6uZNRlJ1cC0yMELj6QtgA8j4pN0+2DgJyTz0f7BLa2WtbRI/SfQluRN1RfA4cBYYI+IuD3DeGbLzUWrmZWEpC2B84DpwJ+AG4FqoBnwy4h4MMN4jSZpNLBrREyXtD1wK/BrkiVde0fEflnmM6shqQOAFxmwSuei1cxKQtJI4LdAB+AaYPeIeEFSL5LFBTbNNGAjSXolIjZOH18BTImIP6TbL0fEJhnGs+8wSb+IiJsknVTf8Yi4qKkzmRWD+7SaWak0j4hhAJLOjogXACLijZwsElElqXlEzAd2AQbWOubXVsvSiulnL3xhueIXVjMrlUKtx18tdiwPt3j+DTwpaSrJ9T0NIGldkrkwzTIREX9PP/8x6yxmxeTuAWZWErVWM6u9khnpdquIqPilXNN+u6sAwyJiVrpvfaBtRIzONJx9Z0m6dGnHI+L4pR03K1duaTWzkvgurGZW0+VhsX1vZpHFrJZR6edtgD7Aben2/sC4TBKZFYFbWs3MzHJI0gskK1/NT7dbAE9HxJbZJjNrmGZZBzAzM7OS6Ai0r7XdNt1nVpHcPcDMzCyfzgNekvQ4SV/y7YE/ZJrIrBHcPcDMzCynJK0M9E83h0fEp1nmMWsMdw8wMzPLISUTIu8KbBwR9wArpMsPm1Ukt7SamZnlkKSrSOZL3jkiekvqSDI9W7+Mo5k1iPu0mpmZ5VP/iNhM0ksAEfGZpBWyDmXWUO4eYGZmlk/zJFWRrkAnqQt1V6ozqyguWs3MzPLpUuAuoKukPwPPAH/JNpJZw7lPq5mZWU5J6gXsQjLl1aMR8XrGkcwazH1azczMckRSf+AaoAcwBjgsIrx8q1U8dw8wMzPLlyuAk4HOwEXAxdnGMSsOF61mZmb50iwiHo6IORExFOiSdSCzYnD3ADMzs3xZSdK+S9qOiDszyGTWaB6IZWZmliOSrlvK4YiIQ5ssjFkRuWg1MzMzs7LnPq1mZmY5JOkESe2VGCJptKQBWecyaygXrWZmZvl0aER8AQwgmUngIOC8bCOZNZyLVjMzs3xS+vmHwA0RMbbWPrOK46LVzMwsn0ZJGkZStD4kqR1QyDiTWYN5IJaZmVkOSWoGbAK8ExGfS+oMrBYRr2abzKxh3NJqZmaWTwH0AY5Pt1cEWmUXx6xx3NJqZmaWQ5KuIukOsHNE9JbUERgWEf0yjmbWIF4Ry8zMLJ/6R8Rmkl4CiIjPJK2QdSizhnL3ADMzs3yaJ6mKpJsAkrrggVhWwVy0mpmZ5dOlwF1AV0l/Bp4Bzs02klnDuU+rmZlZTknqBexCMj/roxHxesaRzBrMRauZmVkOSboxIg5a1j6zSuHuAWZmZvm0Qe2NtH9r34yymDWai1YzM7MckXSGpJnARpK+kDQz3Z4M3JNxPLMGc/cAMzOzHJJ0bkSckXUOs2Jx0WpmZpZD6TKuPwPWjog/SeoOrBIRIzKOZtYgLlrNzMxyyCtiWd54RSwzM7N88opYliseiGVmZpZPXhHLcsVFq5mZWT7VrIjVrdaKWH/JNpJZw7lPq5mZWU7VWhEL4DGviGWVzH1azczM8qsNUNNFoHXGWcwaxd0DzMzMckjSWcD1QCegGrhO0pnZpjJrOHcPMDMzyyFJ44GNI+LrdLs18HJE9Mw2mVnDuKXVzMwsnz4GWtXabgl8lFEWs0Zzn1YzM7MckXQZSR/WGcBYSQ+n27sBXg3LKpa7B5iZmeWIpIOXdjwirm+qLGbF5KLVzMzMzMqeuweYmZnlkKT1gHOBPtTq2xoR62QWyqwRPBDLzMwsn64DrgLmAzsBNwA3ZZrIrBHcPcDMzCyHJI2KiL6SxkTEhrX3ZZ3NrCHcPcDMzCyf5khqBkyQdBzJdFdtM85k1mBuaTUzM8shSf2A14GVgD8BHYDzI+KFLHOZNZSLVjMzMzMre+4eYGZmliOSBkfEIEn3kSwqUEdE/CiDWGaN5qLVzMwsX25MP1+QaQqzInP3ADMzs5yS1AUgIqZkncWssTxPq5mZWc5I+oOkqcB44E1JUySdlXUus8Zw0WpmZpYjkk4CtgH6RUSniOgI9Ae2kXRitunMGs7dA8zMzHJE0kvAbhExdbH9XYBhEbFpNsnMGsctrWZmZvnSYvGCFRb2a22RQR6zonDRamZmli9zG3jMrKy5e4CZmVmOSFoAzKrvENAqItzaahXJRauZmZmZlT13DzAzMzOzsuei1czMzMzKnotWMzMzMyt7LlrNzMzMrOz9f09XnYOB/a6KAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "fig = plt.figure( figsize = (10,8))\n",
    "\n",
    "df_correlation = df.corr(method = 'pearson')\n",
    "\n",
    "# setting vmin, vmax to -1,1 will force the heatmap to map colors in this range\n",
    "# annot = True will show the actual values in the heatmap\n",
    "sns.heatmap(df_correlation, cmap = 'coolwarm', \n",
    "            vmax = 1, vmin = -1, annot=True,\n",
    "            xticklabels = df_correlation.columns.values,\n",
    "            yticklabels = df_correlation.columns.values)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The correlation table has symmetrical upper and lower triangulars, since $\\rho(A,B) = \\rho(B,A)$, and the main diagonal has the maximum correlation of $1$. We can see that most of our attributes are positively correlated. We can also confirm what was observed in the pairplot, showing that ``Age`` and ``Pregnancies`` are indeed correlated ($\\rho=0.54$). \n",
    "\n",
    "Note that our matrix only computes the correlation between pairs of numerical attributes. That is because measuring the association between categorical or between categorical and numeric values involves different approaches. The following table shows some alternatives for measuring association depending on the variables you are handling. For more details, we recommend the following reading: [The search for categorical correlation](https://towardsdatascience.com/the-search-for-categorical-correlation-a1cf7f1888c9) by Shaked Zychlinski.\n",
    "\n",
    "|             | Categorical | Numeric  |\n",
    "| ---         | ---         | ---      |\n",
    "| **Categorical** | Cramer's V,<br /> Theil's U | Correlation <br /> Ratio                        |\n",
    "| **Numeric**     |Correlation<br /> Ratio      | Pearson's, Spearman's,<br /> Kendall Coefficient   |\n",
    "\n",
    "\n",
    "#### Contingency tables, pivot tables and count plots\n",
    "\n",
    "When we have categorical variables, organizing them in tables can be useful for understanding their distribution and detecting possible relationships. This approach is actually used in several methods for detecting associations in categorical variables.\n",
    "\n",
    "A **contingency table** over two categorical variables $A$ and $B$ organizes the categories of variable $A$ in its rows, and the values of $B$ in its columns. The value of each cell represents the total number of items that have the corresponding values of $A$ and $B$.\n",
    "\n",
    "Let's visualize this using ``pandas`` and its ``crosstab`` method. Since our Pima data set only has a single categorical value, we will use a different data set for this section. This data set is used to predict the presense of **heart disease**, which is represented as a binary variable ($0$ means having the disease, $1$ otherwise). The data set can be obtained in [this link](https://www.kaggle.com/ronitf/heart-disease-uci), and it contains clinical variables as features, some of which are categorical. More details about this data set can be views in [this link](https://towardsdatascience.com/heart-disease-uci-diagnosis-prediction-b1943ee835a7)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 303 entries, 0 to 302\n",
      "Data columns (total 14 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       303 non-null    int64  \n",
      " 1   sex       303 non-null    int64  \n",
      " 2   cp        303 non-null    int64  \n",
      " 3   trestbps  303 non-null    int64  \n",
      " 4   chol      303 non-null    int64  \n",
      " 5   fbs       303 non-null    int64  \n",
      " 6   restecg   303 non-null    int64  \n",
      " 7   thalach   303 non-null    int64  \n",
      " 8   exang     303 non-null    int64  \n",
      " 9   oldpeak   303 non-null    float64\n",
      " 10  slope     303 non-null    int64  \n",
      " 11  ca        303 non-null    int64  \n",
      " 12  thal      303 non-null    int64  \n",
      " 13  target    303 non-null    int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 33.3 KB\n"
     ]
    }
   ],
   "source": [
    "df2 = pd.read_csv('../DATASETS/heart.csv', sep = ',')\n",
    "df2.info()\n",
    "df2[\"target\"].replace(0, \"has disease\", inplace = True)\n",
    "df2[\"target\"].replace(1, \"no disease\",  inplace = True)\n",
    "\n",
    "df2[\"sex\"].replace(0, \"Female\", inplace = True)\n",
    "df2[\"sex\"].replace(1, \"Male\",  inplace = True)\n",
    "\n",
    "df2[\"target\"] = df2[\"target\"].astype(\"category\")\n",
    "df2[\"sex\"] = df2[\"sex\"].astype(\"category\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>target</th>\n",
       "      <th>has disease</th>\n",
       "      <th>no disease</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Female</th>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>0.550725</td>\n",
       "      <td>0.449275</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "target  has disease  no disease\n",
       "sex                            \n",
       "Female     0.250000    0.750000\n",
       "Male       0.550725    0.449275"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sex: 0 - female, 1 - male\n",
    "# the normalize = 'index' parameter will divide the counts by the total number of items in each row\n",
    "pd.crosstab(df2[\"sex\"], df2[\"target\"], normalize = 'index')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can observe that the most of the patients in this dataset are men ($114+93=207$ against $24+72=96$ women). In addition, the **prevalence** of heart disease is much stronger in men as well (55% of men present heart disease, against 25% for women). In some cases, it is better to visualize these counts using a bar chart. This can be done with the ``countplot`` method of the ``seaborn`` library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sex', ylabel='count'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data= df2, x='sex',hue='target')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Pivot tables** work in a similar fashion, but they represent a broader concept of aggregation tables. In other words, we can aggregate our data using different types of functions (mean, max, count etc). It is also possible to configure how missing values are treated in pivot tables, which happens in most practical scenarios. The only drawback\n",
    "\n",
    "The ``pandas`` implementation of pivot tables involve four parameters:\n",
    "- index: variables whose categories will be grouped in the rows\n",
    "- columns: variables whose categories will be grouped in the columns\n",
    "- aggfunc: aggregation functon, which by default is the ``np.mean`` (of the ``numpy`` library)\n",
    "- data: reference to the DataFrame "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>chol</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sex</th>\n",
       "      <th>target</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Female</th>\n",
       "      <th>has disease</th>\n",
       "      <td>59.041667</td>\n",
       "      <td>274.958333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no disease</th>\n",
       "      <td>54.555556</td>\n",
       "      <td>256.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Male</th>\n",
       "      <th>has disease</th>\n",
       "      <td>56.087719</td>\n",
       "      <td>246.061404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no disease</th>\n",
       "      <td>50.903226</td>\n",
       "      <td>230.989247</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          age        chol\n",
       "sex    target                            \n",
       "Female has disease  59.041667  274.958333\n",
       "       no disease   54.555556  256.750000\n",
       "Male   has disease  56.087719  246.061404\n",
       "       no disease   50.903226  230.989247"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np \n",
    "\n",
    "# cp stands for 'chest pain': 0: typical angina, 1: atypical angina, 2: non-anginal pain, 3: asymptomatic\n",
    "# chol stands for 'serum cholestoral in mg/dl\n",
    "pd.pivot_table(index = [\"sex\", \"target\"], values = [\"age\", \"chol\"], data = df2, fill_value = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An interesting observation from this table is that heart disease seems to be associated with age and cholesterol as well, which is something that we learn at school. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualizing text and mixed data\n",
    "\n",
    "Many interesting problems involve handling data with complex and unstructured information for the same problem. In such cases, different visualization approaches are necessary.\n",
    "\n",
    "For **text data**, a common visualization approach involves plotting a **word cloud**. This technique shows the terms that happen more frequently in a corpus (a large body of text data). Of course that this involves a series of preprocessing steps to remove stop words, typos etc. The figure below shows a word cloud created from a body of wine reviews.\n",
    "\n",
    "<div>\n",
    "<img src=\"https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1530033900/Full_Bodied_wrljfv.png\" width=\"500\"/>\n",
    " <center> Source: Generating WordClouds in Python - <a href = https://res.cloudinary.com/dyd911kmh/image/upload/f_auto,q_auto:best/v1530033900/Full_Bodied_wrljfv.png\n",
    "> Data camp </a> </center> \n",
    "</div>\n",
    "\n",
    "Another tool that is very useful for interpreting mixed data are **tree maps**. A tree map allows us to view hierarchical structures represented by rectangles. Categories can be used to define the hierararchies, whereas the area of rectangles can be configured based on a numeric attributes. \n",
    "\n",
    "The ``plotly`` library has a very express method for plotting tree maps. A very interesting feature of plotly is that it allows interactive charts. The ``treemap()`` method expects the following parameters:\n",
    "\n",
    "- the first positional argument is the DataFrame to be processed\n",
    "- path: variables used to build the hiearchies\n",
    "- values: numeric column used to define the size of rectangles\n",
    "- color: adds a color scale based on a numeric attribute\n",
    "\n",
    "The example below shows a tree map built using a \"Video Game Sales\" data set (available [here](https://www.kaggle.com/gregorut/videogamesales)).\n",
    " "
   ]
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       "/*!\n",
       " * The buffer module from node.js, for the browser.\n",
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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var p=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,H)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,H)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,H)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,H)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,H)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|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=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|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(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|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=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(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(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function d(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(p=h),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?p(this,t,e):r<63?h(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):d(this,t,e)},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),d(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=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(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(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(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new w(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var m={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function y(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function x(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function _(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function w(t){if(\"string\"==typeof t){var e=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 T(t){w.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):r.strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(y,v),y.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},y.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(x,v),i(b,v),i(_,v),_.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(m[t])return m[t];var e;if(\"k256\"===t)e=new y;else if(\"p224\"===t)e=new x;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new _}return m[t]=e,e},w.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},w.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},w.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},w.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},w.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},w.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},w.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},w.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},w.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},w.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},w.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},w.prototype.isqr=function(t){return this.imul(t,t.clone())},w.prototype.sqr=function(t){return this.mul(t,t)},w.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(f,new a(1).iushln(d-m-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=m}return h},w.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},w.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var 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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)},T.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:115}],107:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],108:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function 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A=s[c-1];s[c-1]=s[h],s[h]=A,h=n(t,e,l,c-1,o,s,p);for(_=f*(c-1),w=f*h,T=0;T<f;++T,++_,++w){k=o[_];o[_]=o[w],o[w]=k}A=s[c-1];if(s[c-1]=s[h],s[h]=A,u<h){for(c=h-1;l<c&&o[f*(c-1)+e]===p;)c-=1;c+=1}else{if(!(h<u))break;for(l=h+1;l<c&&o[f*l+e]===p;)l+=1}}return n(t,e,r,u,o,s,o[f*u+e])};var n=t(\"./partition\")(\"lo<p0\",[\"p0\"]);function i(t,e,r,n,i,a){for(var o=2*t,s=o*(r+1)+e,l=r+1;l<n;++l,s+=o)for(var c=i[s],u=l,f=o*(l-1);u>r&&i[f+e]>c;--u,f-=o){for(var h=f,p=f+o,d=0;d<o;++d,++h,++p){var g=i[h];i[h]=i[p],i[p]=g}var m=a[u];a[u]=a[u-1],a[u-1]=m}}},{\"./partition\":112}],112:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=\"abcdef\".split(\"\").concat(e),n=[];t.indexOf(\"lo\")>=0&&n.push(\"lo=e[k+n]\");t.indexOf(\"hi\")>=0&&n.push(\"hi=e[k+o]\");return r.push(\"for(var j=2*a,k=j*c,l=k,m=c,n=b,o=a+b,p=c;d>p;++p,k+=j){var _;if($)if(m===p)m+=1,l+=j;else{for(var s=0;j>s;++s){var t=e[k+s];e[k+s]=e[l],e[l++]=t}var u=f[p];f[p]=f[m],f[m++]=u}}return 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       "/*!\n",
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       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
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h=a/2,p=s/2,d=g(h),m=o(h),y=g(p),b=o(p),T=o(s),k=L(T),A=y/(b+w*m*k),M=A*A,S=L(2/(1+M)),E=(w*b+(m+d)*k)/(w*b+(m-d)*k),C=L(E),P=C-1/C,I=C+1/C,O=S*P-2*c(C)-t,z=S*A*I-2*i(A)-e,R=y&&_*k*d*M/y,F=(w*m*b+k)/(2*(b+w*m*k)*(b+w*m*k)*k),B=-.5*A*S*S*S,N=B*R,j=B*F,U=(U=2*b+w*k*(m-d))*U*C,V=(w*m*b*k+T)/U,q=-w*d*y/(k*U),H=P*N-2*V/C+S*(V+V/E),G=P*j-2*q/C+S*(q+q/E),Y=A*I*N-2*R/(1+M)+S*I*R+S*A*(V-V/E),W=A*I*j-2*F/(1+M)+S*I*F+S*A*(q-q/E),X=G*Y-W*H;if(!X)break;var Z=(z*G-O*W)/X,J=(O*Y-z*H)/X;a-=Z,s=u(-x,f(x,s-J))}while((n(Z)>v||n(J)>v)&&--l>0);return n(n(s)-x)<v?[0,s]:l&&[a,s]};var wt=o(35*M);function Tt(t,e){var r=m(e/2);return[t*wt*L(1-r*r),(1+wt)*r]}function kt(t,e){var r=e/2,n=o(r);return[2*t/T*o(e)*n*n,T*m(r)]}function At(t){var e=1-t,r=i(y,0)[0]-i(-y,0)[0],n=L(2*(i(0,x)[1]-i(0,-x)[1])/r);function i(r,n){var i=o(n),a=g(n);return[i/(e+t*i)*r,e*n+t*a]}function a(t,e){var r=i(t,e);return[r[0]*n,r[1]/n]}function s(t){return a(0,t)[1]}return a.invert=function(r,i){var a=V(s,i);return[r/n*(t+e/o(a)),a]},a}function Mt(t){return[t[0]/2,S(m(t[1]/2*M))*A]}function St(t){return[2*t[0],2*i(g(t[1]*M))*A]}function Et(t,r){var i=2*y/r,s=t*t;function l(r,l){var c=e.geoAzimuthalEquidistantRaw(r,l),u=c[0],f=c[1],h=u*u+f*f;if(h>s){var d=L(h),m=a(f,u),b=i*p(m/i),_=m-b,w=t*o(_),T=(t*g(_)-_*g(w))/(x-w),k=Lt(_,T),A=(y-t)/Ct(k,w,y);u=d;var M,S=50;do{u-=M=(t+Ct(k,w,u)*A-d)/(k(u)*A)}while(n(M)>v&&--S>0);f=_*g(u),u<x&&(f-=T*(u-x));var E=g(b),C=o(b);c[0]=u*C-f*E,c[1]=u*E+f*C}return c}return l.invert=function(r,l){var c=r*r+l*l;if(c>s){var u=L(c),f=a(l,r),h=i*p(f/i),d=f-h;r=u*o(d),l=u*g(d);for(var m=r-x,v=g(r),b=l/v,_=r<x?1/0:0,w=10;;){var T=t*g(b),k=t*o(b),A=g(k),M=x-k,S=(T-b*A)/M,E=Lt(b,S);if(n(_)<1e-12||!--w)break;b-=_=(b*v-S*m-l)/(v-2*m*(M*(k+b*T*o(k)-A)-T*(T-b*A))/(M*M))}r=(u=t+Ct(E,k,r)*(y-t)/Ct(E,k,y))*o(f=h+b),l=u*g(f)}return e.geoAzimuthalEquidistantRaw.invert(r,l)},l}function Lt(t,e){return function(r){var n=t*o(r);return r<x&&(n-=e),L(1+n*n)}}function 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s=i(t,a);t=s[0],a=s[1];var l=g(a),c=o(a),u=o(t),f=E(e*l+r*c*u),h=g(f),p=n(h)>v?f/h:1;return[p*r*g(t),(n(t)>x?p:-p)*(e*c-r*l*u)]}return i.invert=qt(-t),s.invert=function(t,r){var n=L(t*t+r*r),s=-g(n),l=o(n),c=n*l,u=-r*s,f=n*e,h=L(c*c+u*u-f*f),p=a(c*f+u*h,u*f-c*h),d=(n>x?-1:1)*a(t*s,n*o(p)*l+r*g(p)*s);return i.invert(d,p)},s}function qt(t){var e=g(t),r=o(t);return function(t,n){var i=o(n),s=o(t)*i,l=g(t)*i,c=g(n);return[a(l,s*r-c*e),S(c*r+s*e)]}}Bt.invert=function(t,e){n(t)>1&&(t=2*d(t)-t),n(e)>1&&(e=2*d(e)-e);var r=d(t),i=d(e),s=-r*t,l=-i*e,c=l/s<1,u=function(t,e){var r=0,i=1,a=.5,s=50;for(;;){var l=a*a,c=L(a),u=S(1/L(1+l)),f=1-l+a*(1+l)*u,h=(1-c)/f,p=L(h),d=h*(1+l),g=p*(1-l),m=L(d-t*t),v=e+g+a*m;if(n(i-r)<1e-12||0==--s||0===v)break;v>0?r=a:i=a,a=.5*(r+i)}if(!s)return null;var x=S(c),b=o(x),_=1/b,w=2*c*b,T=(-f*b-(-3*a+u*(1+3*l))*w*(1-c))/(f*f);return[y/4*(t*(-2*_*(.5*T/p*(1-l)-2*a*p*w)+-_*w*m)+-_*(a*(1+l)*T+h*(1+3*l)*w)*S(t/L(d))),x]}(c?l:s,c?s:l),f=u[0],h=u[1],p=o(h);return c&&(f=-x-f),[r*(a(g(f)*p,-g(h))+y),i*S(o(f)*p)]},Ut.invert=function(t,e){var r,n,o,l,u,f,h=(w-1)/(w+1),p=L(1-h*h),d=jt(x,p*p),g=(n=-t,o=p*p,(r=.5*d-e)?(l=Nt(r,o),n?(f=(u=Nt(n,1-o))[1]*u[1]+o*l[0]*l[0]*u[0]*u[0],[[l[0]*u[2]/f,l[1]*l[2]*u[0]*u[1]/f],[l[1]*u[1]/f,-l[0]*l[2]*u[0]*u[2]/f],[l[2]*u[1]*u[2]/f,-o*l[0]*l[1]*u[0]/f]]):[[l[0],0],[l[1],0],[l[2],0]]):[[0,(u=Nt(n,1-o))[0]/u[1]],[1/u[1],0],[u[2]/u[1],0]]),m=function(t,e){var r=e[0]*e[0]+e[1]*e[1];return[(t[0]*e[0]+t[1]*e[1])/r,(t[1]*e[0]-t[0]*e[1])/r]}(g[0],g[1]);return[a(m[1],m[0])/-1,2*i(s(-.5*c(h*m[0]*m[0]+h*m[1]*m[1])))-x]};var Ht=S(1-1/3)*A,Gt=ht(0);function Yt(t){var e=Ht*M,r=lt(y,e)[0]-lt(-y,e)[0],i=Gt(0,e)[1],a=lt(0,e)[1],o=T-a,s=k/t,c=4/k,h=i+o*o*4/k;function p(p,d){var g,m=n(d);if(m>e){var v=f(t-1,u(0,l((p+y)/s)));(g=lt(p+=y*(t-1)/t-v*s,m))[0]=g[0]*k/r-k*(t-1)/(2*t)+v*k/t,g[1]=i+4*(g[1]-a)*o/k,d<0&&(g[1]=-g[1])}else g=Gt(p,d);return g[0]*=c,g[1]/=h,g}return p.invert=function(e,p){e/=c;var d=n(p*=h);if(d>i){var 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n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.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),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,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){r=t.ticks,u=!0,this.autoTicks=!1;for(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,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new 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,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.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=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*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 O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||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(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(q[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)q[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)q[C]+=k*U[C]*this.labelPad[C]/r[5*C];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":259,\"./lib/cube.js\":260,\"./lib/lines.js\":261,\"./lib/text.js\":263,\"./lib/ticks.js\":264}],259:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,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[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":262,\"gl-buffer\":267,\"gl-vao\":361}],260:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":104,\"gl-mat4/multiply\":301,\"robust-orientation\":548,\"split-polygon\":567}],261:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":262,\"gl-buffer\":267,\"gl-vao\":361}],262:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? 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n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":260,\"extract-frustum-planes\":248,\"gl-mat4/multiply\":301,\"gl-mat4/transpose\":312,\"gl-vec4/transformMat4\":432,\"split-polygon\":567}],267:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof 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r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":269,\"./lib/shaders\":270,\"gl-vec3\":380}],269:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(A[0],A[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||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()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:137,\"gl-buffer\":267,\"gl-mat4/invert\":299,\"gl-mat4/multiply\":301,\"gl-shader\":339,\"gl-texture2d\":356,\"gl-vao\":361,ndarray:483}],270:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\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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r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var f=0;f<3;++f)e.lineWidth(this.lineWidth[f]*this.pixelRatio),r.capSize=this.capSize[f]*u,this.lineCount[f]&&e.drawArrays(e.LINES,this.lineOffset[f],this.lineCount[f]);this.vao.unbind()};var u=function(){for(var t=new Array(3),e=0;e<3;++e){for(var r=[],n=1;n<=2;++n)for(var i=-1;i<=1;i+=2){var a=[0,0,0];a[(n+e)%3]=i,r.push(a)}t[e]=r}return t}();function f(t,e,r,n){for(var i=u[n],a=0;a<i.length;++a){var 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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":356}],277:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":72,\"gl-constants/lookup\":272,\"glsl-shader-name\":434,\"sprintf-js\":568}],278:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(O+U):C*b+O],H=n.le(d,q);if(H<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(H===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Y=1-G,W=4*H,X=4*(H+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":279,\"binary-search-bounds\":103,\"gl-buffer\":267,\"gl-shader\":339,\"iota-array\":451,\"typedarray-pool\":617}],279:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:442}],280:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":339,glslify:282}],281:[function(t,e,r){\"use strict\";e.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}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,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 y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=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],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!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])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":280,\"binary-search-bounds\":103,\"gl-buffer\":267,\"gl-texture2d\":356,\"gl-vao\":361,ndarray:483}],282:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],283:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15];return t[0]=s*(h*v-p*m)-f*(l*v-c*m)+g*(l*p-c*h),t[1]=-(n*(h*v-p*m)-f*(i*v-a*m)+g*(i*p-a*h)),t[2]=n*(l*v-c*m)-s*(i*v-a*m)+g*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*m)-u*(l*v-c*m)+d*(l*p-c*h)),t[5]=r*(h*v-p*m)-u*(i*v-a*m)+d*(i*p-a*h),t[6]=-(r*(l*v-c*m)-o*(i*v-a*m)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*g)-u*(s*v-c*g)+d*(s*p-c*f),t[9]=-(r*(f*v-p*g)-u*(n*v-a*g)+d*(n*p-a*f)),t[10]=r*(s*v-c*g)-o*(n*v-a*g)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*m-h*g)-u*(s*m-l*g)+d*(s*h-l*f)),t[13]=r*(f*m-h*g)-u*(n*m-i*g)+d*(n*h-i*f),t[14]=-(r*(s*m-l*g)-o*(n*m-i*g)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],284:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,f=n*s,h=i*o,p=i*s,d=i*l,g=a*o,m=a*s,v=a*l;return t[0]=1-f-d,t[1]=u+v,t[2]=h-m,t[3]=0,t[4]=u-v,t[5]=1-c-d,t[6]=p+g,t[7]=0,t[8]=h+m,t[9]=p-g,t[10]=1-c-f,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],289:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o=r[0],s=r[1],l=r[2],c=Math.sqrt(o*o+s*s+l*l);if(Math.abs(c)<1e-6)return null;return o*=c=1/c,s*=c,l*=c,n=Math.sin(e),i=Math.cos(e),a=1-i,t[0]=o*o*a+i,t[1]=s*o*a+l*n,t[2]=l*o*a-s*n,t[3]=0,t[4]=o*s*a-l*n,t[5]=s*s*a+i,t[6]=l*s*a+o*n,t[7]=0,t[8]=o*l*a+s*n,t[9]=s*l*a-o*n,t[10]=l*l*a+i,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],290:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=n+n,l=i+i,c=a+a,u=n*s,f=n*l,h=n*c,p=i*l,d=i*c,g=a*c,m=o*s,v=o*l,y=o*c;return t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],291:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],292:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],293:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],294:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=0,t[2]=-r,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=r,t[9]=0,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],295:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=0,t[4]=-r,t[5]=n,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],296:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(r-e),l=1/(i-n),c=1/(a-o);return t[0]=2*a*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=2*a*l,t[6]=0,t[7]=0,t[8]=(r+e)*s,t[9]=(i+n)*l,t[10]=(o+a)*c,t[11]=-1,t[12]=0,t[13]=0,t[14]=o*a*2*c,t[15]=0,t}},{}],297:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],298:[function(t,e,r){e.exports={create:t(\"./create\"),clone:t(\"./clone\"),copy:t(\"./copy\"),identity:t(\"./identity\"),transpose:t(\"./transpose\"),invert:t(\"./invert\"),adjoint:t(\"./adjoint\"),determinant:t(\"./determinant\"),multiply:t(\"./multiply\"),translate:t(\"./translate\"),scale:t(\"./scale\"),rotate:t(\"./rotate\"),rotateX:t(\"./rotateX\"),rotateY:t(\"./rotateY\"),rotateZ:t(\"./rotateZ\"),fromRotation:t(\"./fromRotation\"),fromRotationTranslation:t(\"./fromRotationTranslation\"),fromScaling:t(\"./fromScaling\"),fromTranslation:t(\"./fromTranslation\"),fromXRotation:t(\"./fromXRotation\"),fromYRotation:t(\"./fromYRotation\"),fromZRotation:t(\"./fromZRotation\"),fromQuat:t(\"./fromQuat\"),frustum:t(\"./frustum\"),perspective:t(\"./perspective\"),perspectiveFromFieldOfView:t(\"./perspectiveFromFieldOfView\"),ortho:t(\"./ortho\"),lookAt:t(\"./lookAt\"),str:t(\"./str\")}},{\"./adjoint\":283,\"./clone\":284,\"./copy\":285,\"./create\":286,\"./determinant\":287,\"./fromQuat\":288,\"./fromRotation\":289,\"./fromRotationTranslation\":290,\"./fromScaling\":291,\"./fromTranslation\":292,\"./fromXRotation\":293,\"./fromYRotation\":294,\"./fromZRotation\":295,\"./frustum\":296,\"./identity\":297,\"./invert\":299,\"./lookAt\":300,\"./multiply\":301,\"./ortho\":302,\"./perspective\":303,\"./perspectiveFromFieldOfView\":304,\"./rotate\":305,\"./rotateX\":306,\"./rotateY\":307,\"./rotateZ\":308,\"./scale\":309,\"./str\":310,\"./translate\":311,\"./transpose\":312}],299:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,A=u*m-h*d,M=u*v-p*d,S=f*m-h*g,E=f*v-p*g,L=h*v-p*m,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(g*T-m*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(m*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-g*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(g*x-d*_-m*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],300:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":297}],301:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],302:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],303:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],304:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],305:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],306:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],307:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],308:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],309:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],310:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],311:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],312:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],313:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:85,\"polytope-closest-point/lib/closest_point_2d.js\":512}],314:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),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\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:442}],315:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],g.push(Z[0],Z[1]),m.push(R)}q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":313,\"./lib/shaders\":314,colormap:137,\"gl-buffer\":267,\"gl-mat4/invert\":299,\"gl-mat4/multiply\":301,\"gl-shader\":339,\"gl-texture2d\":356,\"gl-vao\":361,ndarray:483,normals:486,\"simplicial-complex-contour\":557,\"typedarray-pool\":617}],316:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":319,\"gl-buffer\":267,\"gl-shader\":339}],317:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=L[1]*m/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=L[3]*m/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":319,\"binary-search-bounds\":103,\"gl-buffer\":267,\"gl-shader\":339}],318:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":319,\"gl-buffer\":267,\"gl-shader\":339}],319:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:321}],320:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(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,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}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()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":319,\"binary-search-bounds\":103,\"gl-buffer\":267,\"gl-shader\":339,\"text-cache\":596}],321:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],322:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":316,\"./lib/grid\":317,\"./lib/line\":318,\"./lib/text\":320,\"gl-select-static\":338}],323:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":55,\"has-passive-events\":444,\"mouse-change\":470,\"mouse-event-offset\":471,\"mouse-wheel\":473,\"right-now\":542}],324:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":339,glslify:325}],325:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],326:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function q(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",q),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",q);var H=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[H[0].slice(),H[1].slice()];function Y(){if(!q()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=H[0],i=H[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!q()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":323,\"./lib/shader\":324,\"a-big-triangle\":70,\"gl-axes3d\":258,\"gl-axes3d/properties\":266,\"gl-fbo\":276,\"gl-mat4/ortho\":302,\"gl-mat4/perspective\":303,\"gl-select-static\":338,\"gl-spikes3d\":349,\"is-mobile\":455,\"mouse-change\":470}],327:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:442}],328:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var 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}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":327,\"gl-buffer\":267,\"gl-shader\":339,\"typedarray-pool\":617}],329:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],330:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],331:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":623}],332:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":339,glslify:333}],333:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],334:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),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 g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,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=c,this.pickOrthoShader=u,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}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=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}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=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}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.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]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(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?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var q=0;Array.isArray(m)?q=n<m.length?+m[n]:0:m&&(q=+m);var H=Math.cos(q),G=Math.sin(q);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+H*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(H*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+H*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":330,\"./lib/glyphs\":331,\"./lib/shaders\":332,\"gl-buffer\":267,\"gl-mat4/multiply\":301,\"gl-vao\":361,\"is-string-blank\":458,\"typedarray-pool\":617}],335:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:336}],336:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],337:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":335,\"gl-buffer\":267,\"gl-shader\":339}],338:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function 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a=[t.id,e.id,r.join(\":\"),i.join(\":\")].join(\"@\"),o=this.programs[a];return o&&this.gl.isProgram(o)||(this.programs[a]=o=function(t,e,r,i,a){var o=t.createProgram();t.attachShader(o,e),t.attachShader(o,r);for(var s=0;s<i.length;++s)t.bindAttribLocation(o,a[s],i[s]);if(t.linkProgram(o),!t.getProgramParameter(o,t.LINK_STATUS)){var l=t.getProgramInfoLog(o);throw new n(l,\"Error linking program: \"+l)}return o}(this.gl,t.shader,e.shader,r,i),t.programs.push(a),e.programs.push(a)),o}},{\"./GLError\":340,\"gl-format-compiler-error\":277,\"weakmap-shim\":628}],346:[function(t,e,r){\"use strict\";function n(t){this.plot=t,this.enable=[!0,!0,!1,!1],this.width=[1,1,1,1],this.color=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.center=[1/0,1/0]}e.exports=function(t,e){var r=new n(t);return r.update(e),t.addOverlay(r),r};var 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1\\n\\nattribute vec3 position, color;\\nattribute float weight;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 coordinates[3];\\nuniform vec4 colors[3];\\nuniform vec2 screenShape;\\nuniform float lineWidth;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vertexPosition = mix(coordinates[0],\\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\\n\\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\\n  vec2 delta = weight * clipOffset * screenShape;\\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\\n\\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\\n}\\n\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  gl_FragColor = fragColor;\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec3\"},{name:\"weight\",type:\"float\"}])}},{\"gl-shader\":339,glslify:347}],349:[function(t,e,r){\"use strict\";var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders/index\");e.exports=function(t,e){var r=[];function o(t,e,n,i,a,o){var s=[t,e,n,0,0,0,1];s[i+3]=1,s[i]=a,r.push.apply(r,s),s[6]=-1,r.push.apply(r,s),s[i]=o,r.push.apply(r,s),r.push.apply(r,s),s[6]=1,r.push.apply(r,s),s[i]=a,r.push.apply(r,s)}o(0,0,0,0,0,1),o(0,0,0,1,0,1),o(0,0,0,2,0,1),o(1,0,0,1,-1,1),o(1,0,0,2,-1,1),o(0,1,0,0,-1,1),o(0,1,0,2,-1,1),o(0,0,1,0,-1,1),o(0,0,1,1,-1,1);var l=n(t,r),c=i(t,[{type:t.FLOAT,buffer:l,size:3,offset:0,stride:28},{type:t.FLOAT,buffer:l,size:3,offset:12,stride:28},{type:t.FLOAT,buffer:l,size:1,offset:24,stride:28}]),u=a(t);u.attributes.position.location=0,u.attributes.color.location=1,u.attributes.weight.location=2;var f=new s(t,l,c,u);return f.update(e),f};var o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n,this.pixelRatio=1,this.bounds=[[-1e3,-1e3,-1e3],[1e3,1e3,1e3]],this.position=[0,0,0],this.lineWidth=[2,2,2],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.enabled=[!0,!0,!0],this.drawSides=[!0,!0,!0],this.axes=null}var l=s.prototype,c=[0,0,0],u=[0,0,0],f=[0,0];l.isTransparent=function(){return!1},l.drawTransparent=function(t){},l.draw=function(t){var e=this.gl,r=this.vao,n=this.shader;r.bind(),n.bind();var i,a=t.model||o,s=t.view||o,l=t.projection||o;this.axes&&(i=this.axes.lastCubeProps.axis);for(var h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":348,\"gl-buffer\":267,\"gl-vao\":361}],350:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:351}],351:[function(t,e,r){arguments[4][265][0].apply(r,arguments)},{dup:265}],352:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,H,I),n.lerp(W,q,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,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,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=g(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":350,\"gl-cone3d\":268,\"gl-vec3\":380,\"gl-vec4\":416}],353:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":339,glslify:442}],354:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,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}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(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=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[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 S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var 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=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var 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=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=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],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"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 c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=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 g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+v+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Y=o+T[H][0],W=v+T[H][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var vt=q?ht:1-ht;if(W=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":353,\"binary-search-bounds\":103,\"bit-twiddle\":104,colormap:137,\"gl-buffer\":267,\"gl-mat4/invert\":299,\"gl-mat4/multiply\":301,\"gl-texture2d\":356,\"gl-vao\":361,ndarray:483,\"ndarray-gradient\":476,\"ndarray-ops\":478,\"ndarray-pack\":479,\"surface-nets\":591,\"typedarray-pool\":617}],355:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||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 alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\t\"+(T.normalViewport?\"\":\"vec2 positionOffset = vec2(positionOffset.x,- positionOffset.y);\")+\"\\n\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ positionOffset))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\t\"+(T.normalViewport?\"position.y = 1. - position.y;\":\"\")+\"\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),T.normalViewport&&(this.viewport.y=this.canvas.height-this.viewport.y-this.viewport.height),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,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 c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.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;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],T.normalViewport||(i*=-1),i}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;H=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var K=0;K<this.batch.length;K++)this.batch[K]={count:this.counts.length>1?this.counts[K]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[K]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*K,4*K+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[K]:this.opacity,baseline:null!=this.baselineOffset[K]?this.baselineOffset[K]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[K]?this.alignOffset[K]:this.alignOffset[0]:0,atlas:this.fontAtlas[K]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*K,2*K+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.normalViewport=!1,T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},e.exports=T},{\"bit-twiddle\":104,\"color-normalize\":131,\"css-font\":150,\"detect-kerning\":181,\"es6-weak-map\":241,\"flatten-vertex-data\":252,\"font-atlas\":253,\"font-measure\":254,\"gl-util/context\":357,\"is-plain-obj\":457,\"object-assign\":487,\"parse-rect\":492,\"parse-unit\":494,\"pick-by-alias\":498,regl:540,\"to-px\":600,\"typedarray-pool\":617}],356:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(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 d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var 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f(this.rightPoints,t,e)}return h(this.leftPoints,e)},a.queryInterval=function(t,e,r){var n;if(t<this.mid&&this.left&&(n=this.left.queryInterval(t,e,r)))return n;if(e>this.mid&&this.right&&(n=this.right.queryInterval(t,e,r)))return n;return e<this.mid?u(this.leftPoints,e,r):t>this.mid?f(this.rightPoints,t,r):h(this.leftPoints,r)};var y=v.prototype;y.insert=function(t){this.root?this.root.insert(t):this.root=new i(t[0],null,null,[t],[t])},y.remove=function(t){if(this.root){var e=this.root.remove(t);return 2===e&&(this.root=null),0!==e}return!1},y.queryPoint=function(t,e){if(this.root)return this.root.queryPoint(t,e)},y.queryInterval=function(t,e,r){if(t<=e&&this.root)return this.root.queryInterval(t,e,r)},Object.defineProperty(y,\"count\",{get:function(){return this.root?this.root.count:0}}),Object.defineProperty(y,\"intervals\",{get:function(){return this.root?this.root.intervals([]):[]}})},{\"binary-search-bounds\":449}],449:[function(t,e,r){arguments[4][251][0].apply(r,arguments)},{dup:251}],450:[function(t,e,r){\"use strict\";e.exports=function(t,e){e=e||new Array(t.length);for(var r=0;r<t.length;++r)e[t[r]]=r;return e}},{}],451:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=new Array(t),r=0;r<t;++r)e[r]=r;return e}},{}],452:[function(t,e,r){e.exports=!0},{}],453:[function(t,e,r){function n(t){return!!t.constructor&&\"function\"==typeof t.constructor.isBuffer&&t.constructor.isBuffer(t)}\n",
       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
       "e.exports=function(t){return null!=t&&(n(t)||function(t){return\"function\"==typeof t.readFloatLE&&\"function\"==typeof t.slice&&n(t.slice(0,0))}(t)||!!t._isBuffer)}},{}],454:[function(t,e,r){\"use strict\";e.exports=\"undefined\"!=typeof navigator&&(/MSIE/.test(navigator.userAgent)||/Trident\\//.test(navigator.appVersion))},{}],455:[function(t,e,r){\"use strict\";e.exports=a,e.exports.isMobile=a,e.exports.default=a;var n=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino/i,i=/(android|bb\\d+|meego).+mobile|avantgo|bada\\/|blackberry|blazer|compal|elaine|fennec|hiptop|iemobile|ip(hone|od)|iris|kindle|lge |maemo|midp|mmp|mobile.+firefox|netfront|opera m(ob|in)i|palm( os)?|phone|p(ixi|re)\\/|plucker|pocket|psp|series[46]0|symbian|treo|up\\.(browser|link)|vodafone|wap|windows (ce|phone)|xda|xiino|android|ipad|playbook|silk/i;function a(t){t||(t={});var e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],456:[function(t,e,r){\"use strict\";e.exports=function(t){var e=typeof t;return null!==t&&(\"object\"===e||\"function\"===e)}},{}],457:[function(t,e,r){\"use strict\";var n=Object.prototype.toString;e.exports=function(t){var e;return\"[object Object]\"===n.call(t)&&(null===(e=Object.getPrototypeOf(t))||e===Object.getPrototypeOf({}))}},{}],458:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],459:[function(t,e,r){\"use strict\";e.exports=function(t){return\"string\"==typeof t&&(t=t.trim(),!!(/^[mzlhvcsqta]\\s*[-+.0-9][^mlhvzcsqta]+/i.test(t)&&/[\\dz]$/i.test(t)&&t.length>4))}},{}],460:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],461:[function(t,e,r){!function(t,n){\"object\"==typeof r&&void 0!==e?e.exports=n():(t=t||self).mapboxgl=n()}(this,(function(){\"use strict\";var t,e,r;function n(n,i){if(t)if(e){var a=\"var sharedChunk = {}; (\"+t+\")(sharedChunk); (\"+e+\")(sharedChunk);\",o={};t(o),(r=i(o)).workerUrl=window.URL.createObjectURL(new Blob([a],{type:\"text/javascript\"}))}else e=i;else t=i}return n(0,(function(t){function e(t,e){return t(e={exports:{}},e.exports),e.exports}var r=n;function n(t,e,r,n){this.cx=3*t,this.bx=3*(r-t)-this.cx,this.ax=1-this.cx-this.bx,this.cy=3*e,this.by=3*(n-e)-this.cy,this.ay=1-this.cy-this.by,this.p1x=t,this.p1y=n,this.p2x=r,this.p2y=n}n.prototype.sampleCurveX=function(t){return((this.ax*t+this.bx)*t+this.cx)*t},n.prototype.sampleCurveY=function(t){return((this.ay*t+this.by)*t+this.cy)*t},n.prototype.sampleCurveDerivativeX=function(t){return(3*this.ax*t+2*this.bx)*t+this.cx},n.prototype.solveCurveX=function(t,e){var r,n,i,a,o;for(void 0===e&&(e=1e-6),i=t,o=0;o<8;o++){if(a=this.sampleCurveX(i)-t,Math.abs(a)<e)return i;var s=this.sampleCurveDerivativeX(i);if(Math.abs(s)<1e-6)break;i-=a/s}if((i=t)<(r=0))return r;if(i>(n=1))return n;for(;r<n;){if(a=this.sampleCurveX(i),Math.abs(a-t)<e)return i;t>a?r=i:n=i,i=.5*(n-r)+r}return i},n.prototype.solve=function(t,e){return this.sampleCurveY(this.solveCurveX(t,e))};var i=a;function a(t,e){this.x=t,this.y=e}function o(t,e,n,i){var a=new r(t,e,n,i);return function(t){return a.solve(t)}}a.prototype={clone:function(){return new a(this.x,this.y)},add:function(t){return this.clone()._add(t)},sub:function(t){return this.clone()._sub(t)},multByPoint:function(t){return this.clone()._multByPoint(t)},divByPoint:function(t){return this.clone()._divByPoint(t)},mult:function(t){return this.clone()._mult(t)},div:function(t){return this.clone()._div(t)},rotate:function(t){return this.clone()._rotate(t)},rotateAround:function(t,e){return this.clone()._rotateAround(t,e)},matMult:function(t){return this.clone()._matMult(t)},unit:function(){return this.clone()._unit()},perp:function(){return this.clone()._perp()},round:function(){return this.clone()._round()},mag:function(){return Math.sqrt(this.x*this.x+this.y*this.y)},equals:function(t){return this.x===t.x&&this.y===t.y},dist:function(t){return Math.sqrt(this.distSqr(t))},distSqr:function(t){var e=t.x-this.x,r=t.y-this.y;return e*e+r*r},angle:function(){return Math.atan2(this.y,this.x)},angleTo:function(t){return Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return this.x=i,this.y=a,this},_round:function(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}},a.convert=function(t){return t instanceof a?t:Array.isArray(t)?new a(t[0],t[1]):t};var s=o(.25,.1,.25,1);function l(t,e,r){return Math.min(r,Math.max(e,t))}function c(t,e,r){var n=r-e,i=((t-e)%n+n)%n+e;return i===e?r:i}function u(t){for(var e=[],r=arguments.length-1;r-- >0;)e[r]=arguments[r+1];for(var n=0,i=e;n<i.length;n+=1){var a=i[n];for(var o in a)t[o]=a[o]}return t}var f=1;function h(){return f++}function p(){return function t(e){return e?(e^16*Math.random()>>e/4).toString(16):([1e7]+-[1e3]+-4e3+-8e3+-1e11).replace(/[018]/g,t)}()}function d(t){return!!t&&/^[0-9a-f]{8}-[0-9a-f]{4}-[4][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i.test(t)}function g(t,e){t.forEach((function(t){e[t]&&(e[t]=e[t].bind(e))}))}function m(t,e){return-1!==t.indexOf(e,t.length-e.length)}function v(t,e,r){var n={};for(var i in t)n[i]=e.call(r||this,t[i],i,t);return n}function y(t,e,r){var n={};for(var i 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r=X(t),n=R.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=B.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||F.ACCESS_TOKEN;return F.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&H(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new qe(i,r,n)},qe.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},qe.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},qe.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},qe.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:He,color:function(t,e,r){return new te(He(t.r,e.r,r),He(t.g,e.g,r),He(t.b,e.b,r),He(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return He(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:He(t.l,e.l,r),a:He(t.a,e.a,r),b:He(t.b,e.b,r),alpha:He(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:He(t.c,e.c,r),l:He(t.l,e.l,r),alpha:He(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?qt:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||qt));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,qt),n=e.parse(t[2],2,qt);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,qt])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,qt),n=e.parse(t[2],2,qt);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,qt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,g):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var gi=function(t){this.property=t,this.value=new di(t,void 0)};gi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},gi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var mi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};mi.prototype.getValue=function(t){return x(this._values[t].value.value)},mi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},mi.prototype.getTransition=function(t){return x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},mi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},mi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.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)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);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._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);qi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",qi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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}(Pi);Hi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",Hi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.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}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,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,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,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]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,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}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=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}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._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}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=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}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=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 i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=qa(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=qa(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function qa(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(gs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),g+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=m[g],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=1-m-v,x=i.z*y+r.z*m+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),qs=Math.pow(2,14)/.5,Hs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};Hs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,g={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(g)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=gs(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},Hs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Hs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},Hs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Hs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Hs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Hs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Hs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Hs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],m=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,g,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var L=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,g,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,m,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,h),this.addCurrentVertex(u,g,1,1,h,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,h,!0),this.addCurrentVertex(u,m,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},Hs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>qs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},Hs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},Hs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(qs-1):this.distance},Hs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",Hs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Co(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=Ws.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new Hs(t)},e.prototype.queryRadius=function(t){var e=t,r=Zs(oo(\"line-width\",this,e),oo(\"line-gap-width\",this,e)),n=oo(\"line-offset\",this,e);return r/2+Math.abs(n)+so(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s){var l=lo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*Zs(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),u=this.paint.get(\"line-offset\").evaluate(e,r);return u&&(n=function(t,e){for(var r=[],n=new i(0,0),a=0;a<t.length;a++){for(var o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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el(t,e,r){return t.sections.forEach((function(t){t.text=function(t,e,r){var n=e.layout.get(\"text-transform\").evaluate(r,{});return\"uppercase\"===n?t=t.toLocaleUpperCase():\"lowercase\"===n&&(t=t.toLocaleLowerCase()),hi.applyArabicShaping&&(t=hi.applyArabicShaping(t)),t}(t.text,e,r)})),t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),_l(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),_l(this.buf,-1&t,this.pos),_l(this.buf,Math.floor(t*(1/4294967296)),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0));if(t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,g=d.x+1,m=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:g,y:m-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:g-1,y:m},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:g+v,y:m},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],q=V&&V[L];if(!q)continue;P=q.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var H=h-c;d=Math.max(H,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];m.x+=c,m.y+=u}})(t.positionedLines,m,Z,J,d,g,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?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-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}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-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}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 gc(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\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable){var k=24*(m.scale-1),A=(24-m.metrics.width*m.scale)/2;_=p.lineOffset/2-(m.imageName?-A:k)}if(m.imageName){var M=s[m.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[m.x+T,m.y]:[0,0],E=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(m.metrics.left-y)*m.scale-T+E[0],P=(-m.metrics.top-y)*m.scale+E[1],I=C+v.w*m.scale/b,O=P+v.h*m.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=m.imageName?j:0,V=new i(22-j,-U),q=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(q),D._rotateAround(N,B)._add(V)._add(q),R._rotateAround(N,B)._add(V)._add(q),F._rotateAround(N,B)._add(V)._add(q)}if(c){var H=Math.sin(c),G=Math.cos(c),Y=[G,-H,H,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*m.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(qi,$s.members,Qi),this.iconCollisionBox=new Ac(qi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.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},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var qc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};qc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},qc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Hc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new qc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}Hc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:qn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Hc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Hc.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)}},Hc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(Hn(e.error)):n(null,Hn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?qn(e):null,data:qn(n,a)},a)}:function(t){i=!0},s=null,l=Hn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Hc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=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]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.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 Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.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},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=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\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.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 6371008.8*Math.acos(Math.min(i,1))},Wc.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 Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(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 nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),g=0,m=d;g<m.length;g+=1){var v=m[g];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new su(p,l,c,u,d);g.tile=f,t.push(g)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=go,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=He,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(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 H(t){return{type:\"Feature\",id:t.id,properties:G(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 G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=gt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(gt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(gt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function gt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new m(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(q(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?H(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?H(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,g=o&&h>1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=m,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===h?r.push(c):(c.parentId=m,r.push(V(p/h,d/h,m,h,g)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.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},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),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 U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],g=t.createExpression(d),m=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=g.value,a[f]=m.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var 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<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(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,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new H(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){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 Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function qt(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function Ht(t,e,r,n){qt(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||qt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):Ht(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,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,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ue(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g);m=S.useVertical,(S.notEnoughRoom||m||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=le(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(le(m*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.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)},Kt.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)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=te(g,o),v=ee(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(g,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ge=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};ge.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),g=Qt(f,h,p,this.transform,d),m=null;if(h){var v=$t(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=be(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!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,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);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 q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(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),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||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&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ge(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ge(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new ge(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ge(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new ge(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=r[g],v=i.opacities[g];m?v=o:v||(v=p,i.opacities[g]=v),r[g]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.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=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(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*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=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=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),qe=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),He=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(qe,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=g[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,g=c;d<g.length;d+=1)p();var m=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)m(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var g=0,m=this._order;g<m.length;g+=1){var v=m[g],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);He.getSourceType=function(t){return D[t]},He.setSourceType=function(t,e){D[t]=e},He.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"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);}\"),er=yr(\"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);}\"),rr=yr(\"#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);}\"),nr=yr(\"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;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"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);}\"),or=yr(\"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;}\"),sr=yr(\"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;}\"),lr=yr(\"#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;}\"),cr=yr(\"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;}\"),ur=yr(\"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);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"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;}\"),pr=yr(\"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);}\"),dr=yr(\"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;}\"),gr=yr(\"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));}\"),mr=yr(\"#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);}\"),vr=yr(\"#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 yr(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 xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(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}},Cr=function(t,e,r){var n=pe(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}},Pr=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]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(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]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.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:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=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:qr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function qr(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 Hr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(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})},Jr={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 Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!Hr||Hr.length<2*h)&&(Hr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(Hr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=g[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==g.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var q=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||q||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var H=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,H),Y=$t(M.posMatrix,v,m,e.transform,H),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,g,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,g,f,m):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,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()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.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-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(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 xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=g.textSizeData,v=t.evaluateSizeForZoom(m,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(g,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,g,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,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\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),M.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},m):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++){var m=i[g];if(this.style._layers[m].is3D()){this.opaquePassCutoff=g;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&gn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.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},_n.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 _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.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()},_n.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)},_n.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)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.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 wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=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};kn.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},kn.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)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=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 kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={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}};An.prototype.clone=function(){var t=new An(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},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.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))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.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())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.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())},Mn.zoom.get=function(){return this._zoom},Mn.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())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.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)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-g.zoom)-2;if(g.zoom===h||w>T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.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)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.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())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.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])},An.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)))},An.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},An.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])},An.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]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),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),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,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={}}},An.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},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var qn=function(t){this.reset(),this.numTouches=t.numTouches};qn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},qn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},qn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},qn.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 Hn=function(t){this.singleTap=new qn(t),this.numTaps=t.numTaps,this.reset()};Hn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Hn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Hn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Hn.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 Gn=function(){this._zoomIn=new Hn({numTouches:1,numTaps:2}),this._zoomOut=new Hn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.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},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},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(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.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,ni(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){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},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 ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.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:si,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})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.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%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.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())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.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},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.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})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new Hn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.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))},fi.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)},fi.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)},fi.prototype.touchcancel=function(){this.reset()},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 hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.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\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new oi;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new jn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(gi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||vi(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=gi(this._eventsInProgress),a=gi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var g=this._eventsInProgress[d],m=g.handlerName,v=g.originalEvent;this._handlersById[m].isActive()||(delete this._eventsInProgress[d],h=r[m]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=gi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new mi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,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(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).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,u),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),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u: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(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.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},bi.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},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.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},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.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}},_i.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 wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(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 wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,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 Ai))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 yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(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 bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},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 Rn(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 Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new He(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new He(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,g=r.data,m=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(g)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:m}),m.onAdd&&m.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.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)}},Ii.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()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.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)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.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))},Ii.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))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)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 Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({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\":Ni--,ji=!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\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!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),Vi={maxWidth:100,unit:\"metric\"},qi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Hi(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;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}qi.prototype.getDefaultPosition=function(){return\"bottom-left\"},qi.prototype._onMove=function(){Hi(this._map,this._container,this.options)},qi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},qi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},qi.prototype.setUnit=function(t){this.options.unit=t,Hi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.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)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.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())},Yi.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 Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._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=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:qi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:He,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],462:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=1<<t+1,r=new Array(e),n=0;n<e;++n)r[n]=a(t,n);return r};var n=t(\"convex-hull\");function i(t,e,r){for(var n=new Array(t),i=0;i<t;++i)n[i]=0,i===e&&(n[i]+=.5),i===r&&(n[i]+=.5);return n}function a(t,e){if(0===e||e===(1<<t+1)-1)return[];for(var r=[],a=[],o=0;o<=t;++o)if(e&1<<o){r.push(i(t,o-1,o-1)),a.push(null);for(var s=0;s<=t;++s)~e&1<<s&&(r.push(i(t,o-1,s-1)),a.push([o,s]))}var l=n(r),c=[];t:for(o=0;o<l.length;++o){var u=l[o],f=[];for(s=0;s<u.length;++s){if(!a[u[s]])continue t;f.push(a[u[s]].slice())}c.push(f)}return c}},{\"convex-hull\":141}],463:[function(t,e,r){var n=t(\"./normalize\"),i=t(\"gl-mat4/create\"),a=t(\"gl-mat4/clone\"),o=t(\"gl-mat4/determinant\"),s=t(\"gl-mat4/invert\"),l=t(\"gl-mat4/transpose\"),c={length:t(\"gl-vec3/length\"),normalize:t(\"gl-vec3/normalize\"),dot:t(\"gl-vec3/dot\"),cross:t(\"gl-vec3/cross\")},u=i(),f=i(),h=[0,0,0,0],p=[[0,0,0],[0,0,0],[0,0,0]],d=[0,0,0];function g(t,e,r,n,i){t[0]=e[0]*n+r[0]*i,t[1]=e[1]*n+r[1]*i,t[2]=e[2]*n+r[2]*i}e.exports=function(t,e,r,i,m,v){if(e||(e=[0,0,0]),r||(r=[0,0,0]),i||(i=[0,0,0]),m||(m=[0,0,0,1]),v||(v=[0,0,0,1]),!n(u,t))return!1;if(a(f,u),f[3]=0,f[7]=0,f[11]=0,f[15]=1,Math.abs(o(f)<1e-8))return!1;var y,x,b,_,w,T,k,A=u[3],M=u[7],S=u[11],E=u[12],L=u[13],C=u[14],P=u[15];if(0!==A||0!==M||0!==S){if(h[0]=A,h[1]=M,h[2]=S,h[3]=P,!s(f,f))return!1;l(f,f),y=m,b=f,_=(x=h)[0],w=x[1],T=x[2],k=x[3],y[0]=b[0]*_+b[4]*w+b[8]*T+b[12]*k,y[1]=b[1]*_+b[5]*w+b[9]*T+b[13]*k,y[2]=b[2]*_+b[6]*w+b[10]*T+b[14]*k,y[3]=b[3]*_+b[7]*w+b[11]*T+b[15]*k}else m[0]=m[1]=m[2]=0,m[3]=1;if(e[0]=E,e[1]=L,e[2]=C,function(t,e){t[0][0]=e[0],t[0][1]=e[1],t[0][2]=e[2],t[1][0]=e[4],t[1][1]=e[5],t[1][2]=e[6],t[2][0]=e[8],t[2][1]=e[9],t[2][2]=e[10]}(p,u),r[0]=c.length(p[0]),c.normalize(p[0],p[0]),i[0]=c.dot(p[0],p[1]),g(p[1],p[1],p[0],1,-i[0]),r[1]=c.length(p[1]),c.normalize(p[1],p[1]),i[0]/=r[1],i[1]=c.dot(p[0],p[2]),g(p[2],p[2],p[0],1,-i[1]),i[2]=c.dot(p[1],p[2]),g(p[2],p[2],p[1],1,-i[2]),r[2]=c.length(p[2]),c.normalize(p[2],p[2]),i[1]/=r[2],i[2]/=r[2],c.cross(d,p[1],p[2]),c.dot(p[0],d)<0)for(var I=0;I<3;I++)r[I]*=-1,p[I][0]*=-1,p[I][1]*=-1,p[I][2]*=-1;return v[0]=.5*Math.sqrt(Math.max(1+p[0][0]-p[1][1]-p[2][2],0)),v[1]=.5*Math.sqrt(Math.max(1-p[0][0]+p[1][1]-p[2][2],0)),v[2]=.5*Math.sqrt(Math.max(1-p[0][0]-p[1][1]+p[2][2],0)),v[3]=.5*Math.sqrt(Math.max(1+p[0][0]+p[1][1]+p[2][2],0)),p[2][1]>p[1][2]&&(v[0]=-v[0]),p[0][2]>p[2][0]&&(v[1]=-v[1]),p[1][0]>p[0][1]&&(v[2]=-v[2]),!0}},{\"./normalize\":464,\"gl-mat4/clone\":284,\"gl-mat4/create\":286,\"gl-mat4/determinant\":287,\"gl-mat4/invert\":299,\"gl-mat4/transpose\":312,\"gl-vec3/cross\":368,\"gl-vec3/dot\":373,\"gl-vec3/length\":383,\"gl-vec3/normalize\":390}],464:[function(t,e,r){e.exports=function(t,e){var r=e[15];if(0===r)return!1;for(var n=1/r,i=0;i<16;i++)t[i]=e[i]*n;return!0}},{}],465:[function(t,e,r){var n=t(\"gl-vec3/lerp\"),i=t(\"mat4-recompose\"),a=t(\"mat4-decompose\"),o=t(\"gl-mat4/determinant\"),s=t(\"quat-slerp\"),l=f(),c=f(),u=f();function f(){return{translate:h(),scale:h(1),skew:h(),perspective:[0,0,0,1],quaternion:[0,0,0,1]}}function 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n.identity(t),n.fromRotationTranslation(t,s,e),t[3]=o[0],t[7]=o[1],t[11]=o[2],t[15]=o[3],n.identity(i),0!==a[2]&&(i[9]=a[2],n.multiply(t,t,i)),0!==a[1]&&(i[9]=0,i[8]=a[1],n.multiply(t,t,i)),0!==a[0]&&(i[8]=0,i[4]=a[0],n.multiply(t,t,i)),n.scale(t,t,r),t}},{\"gl-mat4/create\":286,\"gl-mat4/fromRotationTranslation\":290,\"gl-mat4/identity\":297,\"gl-mat4/multiply\":301,\"gl-mat4/scale\":309,\"gl-mat4/translate\":311}],467:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],468:[function(t,e,r){\"use strict\";var n=t(\"binary-search-bounds\"),i=t(\"mat4-interpolate\"),a=t(\"gl-mat4/invert\"),o=t(\"gl-mat4/rotateX\"),s=t(\"gl-mat4/rotateY\"),l=t(\"gl-mat4/rotateZ\"),c=t(\"gl-mat4/lookAt\"),u=t(\"gl-mat4/translate\"),f=(t(\"gl-mat4/scale\"),t(\"gl-vec3/normalize\")),h=[0,0,0];function 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       "/*!\n",
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       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
       "var n,i=t(\"./lib/build-log\"),a=t(\"./lib/epsilon\"),o=t(\"./lib/intersecter\"),s=t(\"./lib/segment-chainer\"),l=t(\"./lib/segment-selector\"),c=t(\"./lib/geojson\"),u=!1,f=a();function h(t,e,r){var i=n.segments(t),a=n.segments(e),o=r(n.combine(i,a));return n.polygon(o)}n={buildLog:function(t){return!0===t?u=i():!1===t&&(u=!1),!1!==u&&u.list},epsilon:function(t){return f.epsilon(t)},segments:function(t){var e=o(!0,f,u);return 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f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],511:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return 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n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:569,\"stream-parser\":585}],514:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF 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0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m<c;m++,g+=u){var v=this.exif_format_read(l,g);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],515:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),g=s(t,l+r,i);e.item_loc[u]={length:g,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var n=8;n<t.length;n+=4)r[String.fromCharCode.apply(null,t.slice(n,n+4))]=!0;if(r.mif1||r.msf1||r.miaf)return\"avif\"===e||\"avis\"===e||\"avio\"===e?{type:\"avif\",mime:\"image/avif\"}:\"heic\"===e||\"heix\"===e?{type:\"heic\",mime:\"image/heic\"}:\"hevc\"===e||\"hevx\"===e?{type:\"heic\",mime:\"image/heic-sequence\"}:r.avif||r.avis?{type:\"avif\",mime:\"image/avif\"}:r.heic||r.heix||r.hevc||r.hevx||r.heis?r.msf1?{type:\"heif\",mime:\"image/heif-sequence\"}:{type:\"heif\",mime:\"image/heif\"}:{type:\"avif\",mime:\"image/avif\"}}},{\"./common\":513}],516:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=t(\"../miaf_utils\"),s=t(\"../exif_utils\"),l=n(\"ftyp\");e.exports=function(t){if(i(t,4,l)){var e=o.unbox(t,0);if(e){var r=o.getMimeType(e.data);if(r){for(var n,c=e.end;;){var u=o.unbox(t,c);if(!u)break;if(c=u.end,\"mdat\"===u.boxtype)return;if(\"meta\"===u.boxtype){n=u.data;break}}if(n){var f=o.readSizeFromMeta(n);if(f){var h={width:f.width,height:f.height,type:r.type,mime:r.mime,wUnits:\"px\",hUnits:\"px\"};if(f.variants.length>1&&(h.variants=f.variants),f.orientation&&(h.orientation=f.orientation),f.exif_location&&f.exif_location.offset+f.exif_location.length<=t.length){var p=a(t,f.exif_location.offset),d=t.slice(f.exif_location.offset+p+4,f.exif_location.offset+f.exif_location.length),g=s.get_orientation(d);g>0&&(h.orientation=g)}return h}}}}}}},{\"../common\":513,\"../exif_utils\":514,\"../miaf_utils\":515}],517:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"BM\");e.exports=function(t){if(!(t.length<26)&&i(t,0,o))return{width:a(t,18),height:a(t,22),type:\"bmp\",mime:\"image/bmp\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":513}],518:[function(t,e,r){\"use strict\";var n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt16LE,o=n(\"GIF87a\"),s=n(\"GIF89a\");e.exports=function(t){if(!(t.length<10)&&(i(t,0,o)||i(t,0,s)))return{width:a(t,6),height:a(t,8),type:\"gif\",mime:\"image/gif\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":513}],519:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16LE;e.exports=function(t){var e=n(t,0),r=n(t,2),i=n(t,4);if(0===e&&1===r&&i){for(var a=[],o={width:0,height:0},s=0;s<i;s++){var 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n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\"),m=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashPattern:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashSize:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\n\\nuniform float dashSize, pixelRatio, thickness, opacity, id;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D dashPattern;\\nuniform float dashSize, pixelRatio, thickness, opacity, id, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashSize) * .5 + .25;\\n\\tfloat dash = texture2D(dashPattern, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = fragColor;\\n}\\n\"]),uniforms:{scale:t.prop(\"scale\"),color:t.prop(\"fill\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{position:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8},positionFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8}},blend:n.blend,depth:{enable:!1},scissor:n.scissor,stencil:n.stencil,viewport:n.viewport}),rect:i,miter:e}},v.defaults={dashes:null,join:\"miter\",miterLimit:1,thickness:10,cap:\"square\",color:\"black\",opacity:1,overlay:!1,viewport:null,range:null,close:!1,fill:null},v.prototype.render=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];e.length&&(t=this).update.apply(t,e),this.draw()},v.prototype.draw=function(){for(var t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\n\\nuniform float opacity;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, 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borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return 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r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data 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t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var 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E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return 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i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return 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s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag 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u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:M.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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       " * Licensed under the MIT License.\n",
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i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},{\"../main\":644,\"object-assign\":487}],636:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);t=this._t2gYear(i.year());return a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=this._t2gYear(i.year());return a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},{\"../main\":644,\"object-assign\":487}],642:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\"),a=n.instance();function 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":803,\"../../plot_api/plot_template\":843,\"../../registry\":931}],652:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":803,\"../color\":666}],653:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":831,\"fast-isnumeric\":249}],654:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":803,\"../../plots/array_container_defaults\":849,\"../../plots/cartesian/axes\":854,\"./attributes\":649,\"./common_defaults\":652}],655:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=g(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),q=Math.round(D+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*H(.5,e.xanchor)-st*H(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*H($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,q-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-q/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,g=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,g,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=g-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(m(Y,H,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var 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n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}e.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},{\"../../lib\":803,\"../../plots/array_container_defaults\":849,\"../../plots/cartesian/axes\":854,\"../annotations/common_defaults\":652,\"./attributes\":658}],661:[function(t,e,r){\"use strict\";var n=t(\"../annotations/draw\").drawRaw,i=t(\"../../plots/gl3d/project\"),a=[\"x\",\"y\",\"z\"];e.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var 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g={xcalendar:p(d(\"x\"))},m=i.extendFlat({},g,{ycalendar:p(d(\"y\"))}),v=i.extendFlat({},m,{zcalendar:p(d(\"z\"))}),y=p([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. 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B,V,q,H,G,Y,W,X,Z,J,K,Q,$,tt=[],et=[],rt={hLinePoint:null,vLinePoint:null},nt=!1;if(Array.isArray(e))for(S=\"array\",q=0;q<e.length;q++)(G=t.calcdata[e[q].curveNumber||0])&&(Y=G[0].trace,\"skip\"!==G[0].trace.hoverinfo&&(et.push(G),\"h\"===Y.orientation&&(nt=!0)));else{for(H=0;H<t.calcdata.length;H++)G=t.calcdata[H],\"skip\"!==(Y=G[0].trace).hoverinfo&&v.isTraceInSubplots(Y,s)&&(et.push(G),\"h\"===Y.orientation&&(nt=!0));var it,at;if(!e.target)it=\"xpx\"in e?e.xpx:b[0]._length/2,at=\"ypx\"in e?e.ypx:_[0]._length/2;else{if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var ot=e.composedPath&&e.composedPath()[0];ot||(ot=e.target);var st=ot.getBoundingClientRect();it=e.clientX-st.left,at=e.clientY-st.top,l._calcInverseTransform(t);var lt=o.apply3DTransform(l._invTransform)(it,at);if(it=lt[0],at=lt[1],it<0||it>b[0]._length||at<0||at>_[0]._length)return d.unhoverRaw(t,e)}if(e.pointerX=it+b[0]._offset,e.pointerY=at+_[0]._offset,B=\"xval\"in e?v.flat(s,e.xval):v.p2c(b,it),V=\"yval\"in e?v.flat(s,e.yval):v.p2c(_,at),!i(B[0])||!i(V[0]))return o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(H=0;H<et.length;H++)if((G=et[H])&&G[0]&&G[0].trace&&!0===(Y=G[0].trace).visible&&0!==Y._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(Y._module.name)){if(\"splom\"===Y.type?W=s[X=0]:(W=v.getSubplot(Y),X=s.indexOf(W)),Z=S,v.isUnifiedHover(Z)&&(Z=Z.charAt(0)),Q={cd:G,trace:Y,xa:b[X],ya:_[X],maxHoverDistance:P,maxSpikeDistance:O,index:!1,distance:Math.min(ct,P),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:Y.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},l[W]&&(Q.subplot=l[W]._subplot),l._splomScenes&&l._splomScenes[Y.uid]&&(Q.scene=l._splomScenes[Y.uid]),$=tt.length,\"array\"===Z){var n=e[H];\"pointNumber\"in n?(Q.index=n.pointNumber,Z=\"closest\"):(Z=\"\",\"xval\"in n&&(J=n.xval,Z=\"x\"),\"yval\"in 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x=y[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!rt.hLinePoint||rt.hLinePoint.spikeDistance>h.spikeDistance)&&(rt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:l,container:l._hoverlayer,event:e},dt=t._spikepoints,gt={vLinePoint:rt.vLinePoint,hLinePoint:rt.hLinePoint};t._spikepoints=gt;var mt=function(){tt.sort((function(t,e){return t.distance-e.distance})),tt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(tt,S)};mt();var vt=S.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&tt[0]&&L[tt[0].trace.type];if(g&&0!==O&&0!==tt.length){var xt=ft(tt.filter((function(t){return t.ya.showspikes})),O,yt);rt.hLinePoint=ht(xt);var bt=ft(tt.filter((function(t){return t.xa.showspikes})),O,yt);rt.vLinePoint=ht(bt)}if(0===tt.length){var _t=d.unhoverRaw(t,e);return!g||null===rt.hLinePoint&&null===rt.vLinePoint||F(dt)&&R(t,rt,pt),_t}g&&F(dt)&&R(t,rt,pt);if(v.isXYhover(Z)&&0!==tt[0].length&&\"splom\"!==tt[0].trace.type){var wt=tt[0],Tt=(tt=E[wt.trace.type]?tt.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,l),At=N(\"y\",wt,l);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(tt[Mt]);for(Mt=tt.length-1;Mt>Tt-1;Mt--)Ct(tt[Mt]);tt=St,mt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<tt.length;q++){var Dt=tt[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),qt=Math.max(Bt,Nt),Ht=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:qt+zt,y0:Ht+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===S&&(et.length>1||tt.length>1)||\"closest\"===S&&nt&&tt.length>1,Wt=p.combine(l.plot_bgcolor||p.background,l.paper_bgcolor),Xt=I(tt,{gd:t,hovermode:S,rotateLabels:Yt,bgColor:Wt,container:l._hoverlayer,outerContainer:l._paper.node(),commonLabelOpts:l.hoverlabel,hoverdistance:l.hoverdistance});v.isUnifiedHover(S)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var m=p[o],v=p[o+1],y=m[m.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",l),z(Xt,Yt,l._invScaleX,l._invScaleY));if(e.target&&e.target.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(e.target),Zt?\"pointer\":\"\")}if(!e.target||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:b,yaxes:_,xvals:B,yvals:V})}(t,e,r,a)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{},T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=g.getBoundingClientRect(),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var V=Array.isArray(j)?j:j.split(\"+\");if(-1===V.indexOf(\"all\")&&-1===V.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),g={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,g).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var m,v,y=l.node().getBoundingClientRect();if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),m=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;m<b?(m=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):m>i.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-m+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom 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n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":803,\"../../plot_api/plot_template\":843,\"../color\":666,\"./attributes\":725}],729:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":725,\"./defaults\":728,\"./manage\":730}],730:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\"string\"==typeof i){if(void 0===l[i])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),g=e._has(\"cartesian\"),m=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"sankey\"),A=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),M=o(e.hovermode),S=[];function 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t.match(n.segmentRE).forEach((function(t){var a=e[t.charAt(0)].drawn;if(void 0!==a){var o=t.substr(1).match(n.paramRE);!o||o.length<a||r.push(i.cleanNumber(o[a]))}})),r},r.getDataToPixel=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){return e._length*(n?1-t:t)+e._offset};else{var s=r.shapePositionToRange(e);a=function(t){return e._offset+e.r2p(s(t,!0))},\"date\"===e.type&&(a=r.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},r.getPixelToData=function(t,e,n,i){var a,o=t._fullLayout._size;if(e)if(\"domain\"===i)a=function(t){var r=(t-e._offset)/e._length;return n?1-r:r};else{var s=r.rangeToShapePosition(e);a=function(t){return s(e.p2r(t-e._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},r.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},r.makeOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return!!n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}}},{\"../../lib\":803,\"./constants\":748}],758:[function(t,e,r){\"use strict\";var n=t(\"./draw\");e.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),supplyDrawNewShapeDefaults:t(\"./draw_newshape/defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"shapes\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne}},{\"../../plots/cartesian/include_components\":867,\"./attributes\":746,\"./calc_autorange\":747,\"./defaults\":749,\"./draw\":750,\"./draw_newshape/defaults\":753}],759:[function(t,e,r){\"use strict\";var n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/pad_attributes\"),a=t(\"../../lib/extend\").extendDeepAll,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/animation_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=t(\"./constants\"),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":793,\"../../plot_api/edit_types\":836,\"../../plot_api/plot_template\":843,\"../../plots/animation_attributes\":848,\"../../plots/font_attributes\":883,\"../../plots/pad_attributes\":916,\"./constants\":760}],760:[function(t,e,r){\"use strict\";e.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},{}],761:[function(t,e,r){\"use 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r=x(y,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,y.remove()}u.height=u.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*g[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*g[b]):(T.x=e.x,T.l=u.outerLength*d[b],T.r=u.outerLength*g[b]),i.autoMargin(t,m(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),u+=h}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var g=c.lineCount(l),m=(a.currentValueMaxLines+1-g)*e.currentvalue.font.size*p;return c.positionText(l,n,m),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){var i=r.node(),o=n.select(e);function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=L(t,n.mouse(i)[0]);function u(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",h),o.on(\"touchend\",h)}t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var 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o=e.length===r.length;if(!i&&!o)return{fullReplot:!0,calc:!0};var s,l,c=T.traceFlags();c.arrays={},c.nChanges=0,c.nChangesAnim=0;var u={getValObject:function(t){var e=f.getTraceValObject(l,t);return!l._module.animatable&&e.anim&&(e.anim=!1),e},flags:c,immutable:n,transition:i,newDataRevision:a,gd:t},p={};for(s=0;s<e.length;s++)if(r[s]){if(l=r[s]._fullInput,h.hasMakesDataTransform(l)&&(l=r[s]),p[l.uid])continue;p[l.uid]=1,it(e[s]._fullInput,l,[],u)}(c.calc||c.plot)&&(c.fullReplot=!0);i&&c.nChanges&&c.nChangesAnim&&(c.anim=c.nChanges===c.nChangesAnim&&o?\"all\":\"some\");return c}(t,c,v,x,b,A);if(X(t)&&(k.layoutReplot=!0),S.calc||k.calc){t.calcdata=void 0;for(var E=Object.getOwnPropertyNames(y),C=0;C<E.length;C++){var P=E[C],I=P.substring(0,5);if(\"xaxis\"===I||\"yaxis\"===I){var O=y[P]._emptyCategories;O&&O()}}}else h.supplyDefaultsUpdateCalc(t.calcdata,v);var z=[];if(a&&(t._transitionData={},h.createTransitionData(t),z.push((function(){return 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t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):At(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},V.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),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?it:nt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick \"+String(e)},V.tickFirst=function(t,e){var r=t.r2l||Number,a=s.simpleMap(t.range,r,void 0,void 0,e),o=a[1]<a[0],l=o?Math.floor:Math.ceil,c=X(a)[0],u=t.dtick,f=r(t.tick0);if(i(u)){var 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h=s.simpleMap(t.range,t.r2l),p=(Math.abs(h[1]-h[0])-(t._lBreaks||0))/1e4;for(a=0;a<t.ticktext.length&&!(Math.abs(e-f(t.tickvals[a]))<p);a++);if(a<t.ticktext.length)return o.text=String(t.ticktext[a]),o}function d(n){if(void 0===n)return!0;if(r)return\"none\"===n;var i={first:t._tmin,last:t._tmax}[n];return\"all\"!==n&&e!==i}var g=r?\"never\":\"none\"!==t.exponentformat&&d(t.showexponent)?\"hide\":\"\";if(\"date\"===u?function(t,e,r,n){var a=t._tickround,o=r&&t.hoverformat||V.getTickFormat(t);n&&(a=i(a)?4:{y:\"m\",m:\"d\",d:\"M\",M:\"S\",S:4}[a]);var l,c=s.formatDate(e.x,o,a,t._dateFormat,t.calendar,t._extraFormat),u=c.indexOf(\"\\n\");-1!==u&&(l=c.substr(u+1),c=c.substr(0,u));n&&(\"00:00:00\"===c||\"00:00\"===c?(c=l,l=\"\"):8===c.length&&(c=c.replace(/:00$/,\"\")));if(l)if(r)\"d\"===a?c+=\", \"+l:c=l+(c?\", \"+c:\"\");else if(t._inCalcTicks&&t._prevDateHead===l){var f=St(t),h=t._realSide||t.side;(!f&&\"top\"===h||f&&\"bottom\"===h)&&(c+=\"<br> \")}else 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a=n._fullLayout._zoomlayer.selectAll(\".select-outline-\"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call(\"_guiRelayout\",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if(\"sankey\"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function U(t,e,r){var n,a,o,s;for(n=0;n<e.length;n++){var l=e[n].cd[0].trace._fullInput,c=t._fullLayout._tracePreGUI[l.uid]||{};void 0===c.selectedpoints&&(c.selectedpoints=l._input.selectedpoints||null)}if(r){var u=r.points||[];for(n=0;n<e.length;n++)(s=e[n].cd[0].trace)._input.selectedpoints=s._fullInput.selectedpoints=[],s._fullInput!==s&&(s.selectedpoints=[]);for(n=0;n<u.length;n++){var f=u[n],h=f.data,p=f.fullData;f.pointIndices?([].push.apply(h.selectedpoints,f.pointIndices),s._fullInput!==s&&[].push.apply(p.selectedpoints,f.pointIndices)):(h.selectedpoints.push(f.pointIndex),s._fullInput!==s&&p.selectedpoints.push(f.pointIndex))}}else for(n=0;n<e.length;n++)delete(s=e[n].cd[0].trace).selectedpoints,delete s._input.selectedpoints,s._fullInput!==s&&delete s._fullInput.selectedpoints;var d=!1;for(n=0;n<e.length;n++){s=(o=(a=e[n]).cd)[0].trace,i.traceIs(s,\"regl\")&&(d=!0);var g=a._module,m=g.styleOnSelect||g.style;m&&(m(t,o,o[0].node3),o[0].nodeRangePlot3&&m(t,o,o[0].nodeRangePlot3))}d&&(w(t),T(t))}function V(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=l(t[i],n,r);return t}function q(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var i=0;i<t[n].length;i++){r[n][i]=[],r[n][i][0]=i?\"L\":\"M\";for(var a=0;a<t[n][i].length;a++)r[n][i].push(t[n][i][a])}e||r[n].push([\"Z\",r[n][0][1],r[n][0][2]])}return r}e.exports={prepSelect:function(t,e,r,i,l){var c=u(l),v=f(l),x=p(l),_=h(l),w=d(l),T=\"drawcircle\"===l,E=\"drawline\"===l||T,L=i.gd,z=L._fullLayout,D=z._zoomlayer,j=i.element.getBoundingClientRect(),H=i.plotinfo,G=I(H),Y=e-j.left,W=r-j.top;z._calcInverseTransform(L);var X=y.apply3DTransform(z._invTransform)(Y,W);Y=X[0],W=X[1];var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),g=t(\"../cartesian/axes\"),m=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/select\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function 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i=t[n],a=i[0].trace;\"choropleth\"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),d.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},S.updateProjection=function(t,e){var r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,g=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],g._length=y[1][1]-y[0][1],d.range=m(r,d),g.range=m(r,g);var k=(d.range[0]+d.range[1])/2,A=(g.range[0]+g.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,g.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var R=this.midPt=[(P[0][0]+P[1][0])/2,(P[0][1]+P[1][1])/2];if(v.translate([O[0]+(R[0]-O[0]),O[1]+(R[1]-O[1])]).clipExtent(P),n._isAlbersUsa){var F=v([x.lon,x.lat]),B=v.translate();v.translate([B[0]-(F[0]-B[0]),B[1]-(F[1]-B[1])])}},S.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function s(t){return\"lonaxis\"===t||\"lataxis\"===t}function l(t){return Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e[\"show\"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(\".layer\").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append(\"g\").attr(\"class\",(function(t){return\"layer \"+t})).each((function(t){var e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};g.setConvert(l,r);var c=g.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],m=i[0];m<i[1]+2.5;m+=2.5)d.push(a(p,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,\"\",e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":861,\"has-passive-events\":444,\"mouse-change\":470,\"mouse-event-offset\":471,\"mouse-wheel\":473}],893:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":828,\"../cartesian/axes\":854}],894:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":707,\"../../constants/xmlns_namespaces\":780,\"../../plot_api/edit_types\":836,\"../cartesian\":868,\"../cartesian/attributes\":852,\"../cartesian/constants\":861,\"../get_data\":891,\"../layout_attributes\":908,\"./scene2d\":895}],895:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"gl-plot2d\"),c=t(\"gl-spikes2d\"),u=t(\"gl-select-box\"),f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../components/dragelement/helpers\":684,\"../../components/fx\":706,\"../../lib/show_no_webgl_msg\":825,\"../../plots/cartesian/axes\":854,\"../../registry\":931,\"../cartesian/autorange\":853,\"../cartesian/constants\":861,\"../cartesian/constraints\":862,\"./camera\":892,\"./convert\":893,\"gl-plot2d\":322,\"gl-select-box\":337,\"gl-spikes2d\":346,\"webgl-context\":629}],896:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":707,\"../../constants/xmlns_namespaces\":780,\"../../lib\":803,\"../../plot_api/edit_types\":836,\"../get_data\":891,\"./layout/attributes\":897,\"./layout/defaults\":901,\"./layout/layout_attributes\":902,\"./scene\":906}],897:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],898:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":666,\"../../../lib/extend\":793,\"../../../plot_api/edit_types\":836,\"../../cartesian/layout_attributes\":869}],899:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":803,\"../../../plot_api/plot_template\":843,\"../../cartesian/axis_defaults\":856,\"../../cartesian/type_defaults\":880,\"./axis_attributes\":898,tinycolor2:598}],900:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":803,\"../../../lib/str2rgbarray\":828}],901:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":666,\"../../../lib\":803,\"../../../registry\":931,\"../../get_data\":891,\"../../subplot_defaults\":925,\"./axis_defaults\":899,\"./layout_attributes\":902}],902:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":803,\"../../../lib/extend\":793,\"../../domain\":882,\"./axis_attributes\":898}],903:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":828}],904:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":803,\"../../cartesian/axes\":854}],905:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],906:[function(t,e,r){\"use strict\";var n,i,a=t(\"gl-plot3d\"),o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c,u=Object.keys(e.traces),h=null,g=e.glplot.selection,m=0;m<u.length;++m)\"skip\"!==(t=e.traces[u[m]]).data.hoverinfo&&t.handlePick(g)&&(h=t),t.setContourLevels&&t.setContourLevels();function y(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==h){var x=v(e.glplot.cameraParams,g.dataCoordinate);t=h.data;var _,w=r._fullData[t.index],T=g.index,k={xLabel:y(\"x\",g.traceCoordinate[0],t.xhoverformat),yLabel:y(\"y\",g.traceCoordinate[1],t.yhoverformat),zLabel:y(\"z\",g.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(w,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;w.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(g.textLabel=void 0),-1===M.indexOf(\"name\")&&(h.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=y(\"x\",g.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=y(\"y\",g.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=y(\"z\",g.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=g.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=g.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),g.textLabel&&E.push(g.textLabel),_=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(g.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),g.textLabel&&E.push(g.textLabel),_=E.join(\"<br>\")):_=g.textLabel;var L={x:g.traceCoordinate[0],y:g.traceCoordinate[1],z:g.traceCoordinate[2],data:w._input,fullData:w,curveNumber:w.index,pointNumber:T};d.appendArrayPointValue(L,w,T),t._module.eventData&&(L=w._module.eventData(L,g,w,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:w,x:(.5+.5*x[0]/x[3])*s,y:(.5-.5*x[1]/x[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:_,name:h.name,color:d.castHoverOption(w,T,\"bgcolor\")||h.color,borderColor:d.castHoverOption(w,T,\"bordercolor\"),fontFamily:d.castHoverOption(w,T,\"font.family\"),fontSize:d.castHoverOption(w,T,\"font.size\"),fontColor:d.castHoverOption(w,T,\"font.color\"),nameLength:d.castHoverOption(w,T,\"namelength\"),textAlign:d.castHoverOption(w,T,\"align\"),hovertemplate:f.castOption(w,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}g.buttons&&g.distance<5?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),c=C}else d.loneUnhover(n),r.emit(\"plotly_unhover\",c);e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-M),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var L=m[1][a]-m[0][a];m[0][a]-=L/32,m[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=m[0][a];m[0][a]=m[1][a],m[1][a]=C}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.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(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.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\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).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]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.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},w.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},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var 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strict\";e.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},{}],908:[function(t,e,r){\"use strict\";var n=t(\"./font_attributes\"),i=t(\"./animation_attributes\"),a=t(\"../components/color/attributes\"),o=t(\"../components/shapes/draw_newshape/attributes\"),s=t(\"./pad_attributes\"),l=t(\"../lib/extend\").extendFlat,c=n({editType:\"calc\"});c.family.dflt='\"Open Sans\", verdana, arial, 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n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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t&&(-1!==p.styleValuesMapbox.indexOf(t)||0===t.indexOf(\"mapbox://\"))}r.name=\"mapbox\",r.attr=\"subplot\",r.idRoot=\"mapbox\",r.idRegex=r.attrRegex=i.counterRegex(\"mapbox\"),r.attributes={subplot:{valType:\"subplotid\",dflt:\"mapbox\",editType:\"calc\"}},r.layoutAttributes=t(\"./layout_attributes\"),r.supplyLayoutDefaults=t(\"./layout_defaults\"),r.plot=function(t){var e=t._fullLayout,r=t.calcdata,a=e._subplots.mapbox;if(n.version!==p.requiredVersion)throw new Error(p.wrongVersionErrorMsg);var o=function(t,e){var r=t._fullLayout;if(\"\"===t._context.mapboxAccessToken)return\"\";for(var n=[],a=[],o=!1,s=!1,l=0;l<e.length;l++){var c=r[e[l]],u=c.accesstoken;d(c.style)&&(u?i.pushUnique(n,u):(d(c._input.style)&&(i.error(\"Uses Mapbox map style, but did not set an access token.\"),o=!0),s=!0)),u&&i.pushUnique(a,u)}if(s){var f=o?p.noAccessTokenErrorMsg:p.missingStyleErrorMsg;throw i.error(f),new Error(f)}return 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g=c.select(s._subplot.div);if(!(null===g.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var m=e._glimages.append(\"g\");m.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),m.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),m.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=g.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var 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n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var 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strict\";var n=t(\"../../lib\"),i=t(\"../subplot_defaults\"),a=t(\"../array_container_defaults\"),o=t(\"./layout_attributes\");function s(t,e,r,n){r(\"accesstoken\",n.accessToken),r(\"style\"),r(\"center.lon\"),r(\"center.lat\"),r(\"zoom\"),r(\"bearing\"),r(\"pitch\"),a(t,e,{name:\"layers\",handleItemDefaults:l}),e._input=t}function l(t,e){function r(r,i){return n.coerce(t,e,o.layers,r,i)}if(r(\"visible\")){var i,a=r(\"sourcetype\"),s=\"raster\"===a||\"image\"===a;r(\"source\"),r(\"sourceattribution\"),\"vector\"===a&&r(\"sourcelayer\"),\"image\"===a&&r(\"coordinates\"),s&&(i=\"raster\");var l=r(\"type\",i);s&&\"raster\"!==l&&(l=e.type=\"raster\",n.log(\"Source types *raster* and *image* must drawn *raster* layer 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.rectMode,h=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:A(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),a[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function A(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(A(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once(\"error\",r),e.once(\"style.error\",r),e.once(\"source.error\",r),e.once(\"tile.error\",r),e.once(\"layer.error\",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement(\"div\");r.id=e.uid,r.style.position=\"absolute\",e.container.appendChild(r),e.xaxis={_id:\"x\",c2p:function(t){return e.project(t).x}},e.yaxis={_id:\"y\",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(t))}i.on(\"moveend\",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,e._preGUI,r.getViewEdits(i));var a=r.getView();i._input.center=i.center=a.center,i._input.zoom=i.zoom=a.zoom,i._input.bearing=i.bearing=a.bearing,i._input.pitch=i.pitch=a.pitch,n.emit(\"plotly_relayout\",r.getViewEditsWithDerived(a))}t.originalEvent&&\"mouseup\"===t.originalEvent.type?r.dragging=!1:r.wheeling&&(r.wheeling=!1),e._rehover&&e._rehover()}})),i.on(\"wheel\",(function(){r.wheeling=!0})),i.on(\"mousemove\",(function(t){var e=r.div.getBoundingClientRect(),a=[t.originalEvent.offsetX,t.originalEvent.offsetY];t.target.getBoundingClientRect=function(){return e},r.xaxis.p2c=function(){return i.unproject(a).lng},r.yaxis.p2c=function(){return 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\"+d,m=o(\"title.text\",g);e._hovertitle=m===g?m:d,a.coerceFont(o,\"title.font\",{family:r.font.family,size:a.bigFont(r.font.size),color:p}),o(\"min\"),c(t,e,o,\"linear\"),s(t,e,o,\"linear\",{}),l(t,e,o,{outerTicks:!0}),o(\"showticklabels\")&&(a.coerceFont(o,\"tickfont\",{family:r.font.family,size:r.font.size,color:p}),o(\"tickangle\"),o(\"tickformat\")),u(t,e,o,{dfltColor:h,bgColor:r.bgColor,blend:60,showLine:!0,showGrid:!0,noZeroLine:!0,attributes:i}),o(\"hoverformat\"),o(\"layer\")}e.exports=function(t,e,r){o(t,e,r,{type:\"ternary\",attributes:f,handleDefaults:p,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{\"../../components/color\":666,\"../../lib\":803,\"../../plot_api/plot_template\":843,\"../cartesian/line_grid_defaults\":871,\"../cartesian/tick_label_defaults\":876,\"../cartesian/tick_mark_defaults\":877,\"../cartesian/tick_value_defaults\":878,\"../subplot_defaults\":925,\"./layout_attributes\":928}],930:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strTranslate,l=o._,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../cartesian/set_convert\"),h=t(\"../../lib/extend\").extendFlat,p=t(\"../plots\"),d=t(\"../cartesian/axes\"),g=t(\"../../components/dragelement\"),m=t(\"../../components/fx\"),v=t(\"../../components/dragelement/helpers\"),y=v.freeMode,x=v.rectMode,b=t(\"../../components/titles\"),_=t(\"../cartesian/select\").prepSelect,w=t(\"../cartesian/select\").selectOnClick,T=t(\"../cartesian/select\").clearSelect,k=t(\"../cartesian/select\").clearSelectionsCache,A=t(\"../cartesian/constants\");function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}e.exports=M;var 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=e[this.id],n=e._size;this._hasClipOnAxisFalse=!1;for(var i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){this._hasClipOnAxisFalse=!0;break}}this.updateLayers(r),this.adjustLayout(r,n),p.generalUpdatePerTraceModule(this.graphDiv,this,t,r),this.layers.plotbg.select(\"path\").call(c.fill,r.bgcolor)},S.makeFramework=function(t){var e=this.graphDiv,r=t[this.id],n=this.clipId=\"clip\"+this.layoutId+this.id,i=this.clipIdRelative=\"clip-relative\"+this.layoutId+this.id;this.clipDef=o.ensureSingleById(t._clips,\"clipPath\",n,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),this.plotContainer=o.ensureSingle(this.container,\"g\",this.id),this.updateLayers(r),u.setClipUrl(this.layers.backplot,n,e),u.setClipUrl(this.layers.grids,n,e)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-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:[g-o/2,g+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:[m-l/2,m+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 I=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",I),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var O=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",O),p.layers.bgrid.attr(\"transform\",O);var z=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",z),p.layers.agrid.attr(\"transform\",z);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this.graphDiv,r=this.id.substr(7)+\"title\",n=this.layers,i=this.aaxis,a=this.baxis,o=this.caxis;if(this.drawAx(i),this.drawAx(a),this.drawAx(o),t){var s=Math.max(i.showticklabels?i.tickfont.size/2:0,(o.showticklabels?.75*o.tickfont.size:0)+(\"outside\"===o.ticks?.87*o.ticklen:0)),c=(a.showticklabels?a.tickfont.size:0)+(\"outside\"===a.ticks?a.ticklen:0)+3;n[\"a-title\"]=b.draw(e,\"a\"+r,{propContainer:i,propName:this.id+\".aaxis.title\",placeholder:l(e,\"Click to enter Component A title\"),attributes:{x:this.x0+this.w/2,y:this.y0-i.title.font.size/3-s,\"text-anchor\":\"middle\"}}),n[\"b-title\"]=b.draw(e,\"b\"+r,{propContainer:a,propName:this.id+\".baxis.title\",placeholder:l(e,\"Click to enter Component B title\"),attributes:{x:this.x0-c,y:this.y0+this.h+.83*a.title.font.size+c,\"text-anchor\":\"middle\"}}),n[\"c-title\"]=b.draw(e,\"c\"+r,{propContainer:o,propName:this.id+\".caxis.title\",placeholder:l(e,\"Click to enter Component C title\"),attributes:{x:this.x0+this.w+c,y:this.y0+this.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this.graphDiv,n=t._name,i=n.charAt(0),a=t._id,s=this.layers[n],l=i+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);this[l]!==c&&(s.selectAll(\".\"+a+\"tick\").remove(),this[l]=c),t.setScale();var u=d.calcTicks(t),f=d.clipEnds(t,u),h=d.makeTransTickFn(t),p=d.getTickSigns(t)[2],g=o.deg2rad(30),m=p*(t.linewidth||1)/2,v=p*t.ticklen,y=this.w,x=this.h,b=\"b\"===i?\"M0,\"+m+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+m+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,_={a:\"M0,0l\"+x+\",-\"+y/2,b:\"M0,0l-\"+y/2+\",-\"+x,c:\"M0,0l-\"+x+\",\"+y/2}[i];d.drawTicks(r,t,{vals:\"inside\"===t.ticks?f:u,layer:s,path:b,transFn:h,crisp:!1}),d.drawGrid(r,t,{vals:f,layer:this.layers[i+\"grid\"],path:_,transFn:h,crisp:!1}),d.drawLabels(r,t,{vals:u,layer:s,transFn:h,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\",I=\"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\",O=!0;function z(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearSelect=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,v,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,D=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 r=L._fullLayout.clickmode;z(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&m.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),g=(l/2+u)*M.w,m=(1-l/2-c)*M.w,y=(g+m)/2,x=m-g,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr(\"d\",v),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+c*h,c:f.c+u*h},T.attr(\"d\",v+\"M\"+g+\",\"+_+\"H\"+m+\"L\"+y+\",\"+w+\"L\"+g+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+g+\",\"+_+C+\"M\"+m+\",\"+_+P+\"M\"+y+\",\"+w+I)),b||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){z(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),O&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),O=!1))}function q(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var g=M.dragOptions.dragmode=L._fullLayout.dragmode;y(g)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===g?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var u=L._fullLayout._invTransform,g=o.apply3DTransform(u)(r,n);r=g[0],n=g[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),v=\"M0,\"+M.h+\"L\"+M.w/2+\", 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n=t(\"../../components/fx\"),i=t(\"../../lib\"),a=t(\"../bar/hover\").getTraceColor,o=i.fillText,s=t(\"../scatterpolar/hover\").makeHoverPointText,l=t(\"../../plots/polar/helpers\").isPtInsidePolygon;e.exports=function(t,e,r){var c=t.cd,u=c[0].trace,f=t.subplot,h=f.radialAxis,p=f.angularAxis,d=f.vangles,g=d?l:i.isPtInsideSector,m=t.maxHoverDistance,v=p._period||2*Math.PI,y=Math.abs(h.g2p(Math.sqrt(e*e+r*r))),x=Math.atan2(r,e);h.range[0]>h.range[1]&&(x+=Math.PI);if(n.getClosest(c,(function(t){return g(y,x,[t.rp0,t.rp1],[t.thetag0,t.thetag1],d)?m+Math.min(1,Math.abs(t.thetag1-t.thetag0)/v)-1+(t.rp1-y)/(t.rp1-t.rp0)-1:1/0}),t),!1!==t.index){var b=c[t.index];t.x0=t.x1=b.ct[0],t.y0=t.y1=b.ct[1];var _=i.extendFlat({},b,{r:b.s,theta:b.p});return o(b,u,t),s(_,u,f,t),t.hovertemplate=u.hovertemplate,t.color=a(u,b),t.xLabelVal=t.yLabelVal=void 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n=t(\"../scatter/attributes\"),i=t(\"../bar/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=c.line;e.exports={y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},x0:{valType:\"any\",editType:\"calc+clearAxisTypes\"},y0:{valType:\"any\",editType:\"calc+clearAxisTypes\"},dx:{valType:\"number\",editType:\"calc\"},dy:{valType:\"number\",editType:\"calc\"},xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:n.xperiod0,yperiod0:n.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),name:{valType:\"string\",editType:\"calc+clearAxisTypes\"},q1:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},median:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},q3:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},lowerfence:{valType:\"data_array\",editType:\"calc\"},upperfence:{valType:\"data_array\",editType:\"calc\"},notched:{valType:\"boolean\",editType:\"calc\"},notchwidth:{valType:\"number\",min:0,max:.5,dflt:.25,editType:\"calc\"},notchspan:{valType:\"data_array\",editType:\"calc\"},boxpoints:{valType:\"enumerated\",values:[\"all\",\"outliers\",\"suspectedoutliers\",!1],editType:\"calc\"},jitter:{valType:\"number\",min:0,max:1,editType:\"calc\"},pointpos:{valType:\"number\",min:-2,max:2,editType:\"calc\"},boxmean:{valType:\"enumerated\",values:[!0,\"sd\",!1],editType:\"calc\"},mean:{valType:\"data_array\",editType:\"calc\"},sd:{valType:\"data_array\",editType:\"calc\"},orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],editType:\"calc+clearAxisTypes\"},quartilemethod:{valType:\"enumerated\",values:[\"linear\",\"exclusive\",\"inclusive\"],dflt:\"linear\",editType:\"calc\"},width:{valType:\"number\",min:0,dflt:0,editType:\"calc\"},marker:{outliercolor:{valType:\"color\",dflt:\"rgba(0, 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f={xaxis:0,yaxis:1,zaxis:2},h={tip:1,tail:0,cm:.25,center:.5},p={tip:1,tail:1,cm:.75,center:.5};function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c={};function u(t,e){var n=r[e],o=i[f[e]];return a(t,(function(t){return n.d2l(t)*o}))}c.vectors=l(u(e.u,\"xaxis\"),u(e.v,\"yaxis\"),u(e.w,\"zaxis\"),e._len),c.positions=l(u(e.x,\"xaxis\"),u(e.y,\"yaxis\"),u(e.z,\"zaxis\"),e._len);var d=s(e);c.colormap=o(e),c.vertexIntensityBounds=[d.min/e._normMax,d.max/e._normMax],c.coneOffset=h[e.anchor],\"scaled\"===e.sizemode?c.coneSize=e.sizeref||.5:c.coneSize=e.sizeref&&e._normMax?e.sizeref/e._normMax:.5;var g=n(c),m=e.lightposition;return g.lightPosition=[m.x,m.y,m.z],g.ambient=e.lighting.ambient,g.diffuse=e.lighting.diffuse,g.specular=e.lighting.specular,g.roughness=e.lighting.roughness,g.fresnel=e.lighting.fresnel,g.opacity=e.opacity,e._pad=p[e.anchor]*g.vectorScale*g.coneScale*e._normMax,g}u.update=function(t){this.data=t;var 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n=t(\"../heatmap/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\"),o=a.axisHoverFormat,s=a.descriptionOnlyNumbers,l=t(\"../../components/colorscale/attributes\"),c=t(\"../../components/drawing/attributes\").dash,u=t(\"../../plots/font_attributes\"),f=t(\"../../lib/extend\").extendFlat,h=t(\"../../constants/filter_ops\"),p=h.COMPARISON_OPS2,d=h.INTERVAL_OPS,g=i.line;e.exports=f({z:n.z,x:n.x,x0:n.x0,dx:n.dx,y:n.y,y0:n.y0,dy:n.dy,xperiod:n.xperiod,yperiod:n.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:n.xperiodalignment,yperiodalignment:n.yperiodalignment,text:n.text,hovertext:n.hovertext,transpose:n.transpose,xtype:n.xtype,ytype:n.ytype,xhoverformat:o(\"x\"),yhoverformat:o(\"y\"),zhoverformat:o(\"z\",1),hovertemplate:n.hovertemplate,hoverongaps:n.hoverongaps,connectgaps:f({},n.connectgaps,{}),fillcolor:{valType:\"color\",editType:\"calc\"},autocontour:{valType:\"boolean\",dflt:!0,editType:\"calc\",impliedEdits:{\"contours.start\":void 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r=t.marker,i=e.mc||r.color,a=e.mlc||r.line.color,o=e.mlw||r.line.width;if(n(i))return i;if(n(a)&&o)return a}(u,h),[l]}}},{\"../../components/color\":666,\"../../lib\":803,\"../bar/hover\":948}],1071:[function(t,e,r){\"use 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s=r||n.select(t).selectAll(\"g.funnellayer\").selectAll(\"g.trace\");l(t,s,\"funnel\"),s.style(\"opacity\",(function(t){return t[0].trace.opacity})),s.each((function(e){var r=n.select(this),s=e[0].trace;r.selectAll(\".point > path\").each((function(t){if(!t.isBlank){var e=s.marker;n.select(this).call(a.fill,t.mc||e.color).call(a.stroke,t.mlc||e.line.color).call(i.dashLine,e.line.dash,t.mlw||e.line.width).style(\"opacity\",s.selectedpoints&&!t.selected?o:1)}})),c(r,s,t),r.selectAll(\".regions\").each((function(){n.select(this).selectAll(\"path\").style(\"stroke-width\",0).call(a.fill,s.connector.fillcolor)})),r.selectAll(\".lines\").each((function(){var t=s.connector.line;i.lineGroupStyle(n.select(this).selectAll(\"path\"),t.width,t.color,t.dash)}))}))}}},{\"../../components/color\":666,\"../../components/drawing\":688,\"../../constants/interactions\":778,\"../bar/style\":955,\"../bar/uniform_text\":957,\"@plotly/d3\":58}],1076:[function(t,e,r){\"use strict\";var n=t(\"../pie/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/domain\").attributes,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/template_attributes\").texttemplateAttrs,l=t(\"../../lib/extend\").extendFlat;e.exports={labels:n.labels,label0:n.label0,dlabel:n.dlabel,values:n.values,marker:{colors:n.marker.colors,line:{color:l({},n.marker.line.color,{dflt:null}),width:l({},n.marker.line.width,{dflt:1}),editType:\"calc\"},editType:\"calc\"},text:n.text,hovertext:n.hovertext,scalegroup:l({},n.scalegroup,{}),textinfo:l({},n.textinfo,{flags:[\"label\",\"text\",\"value\",\"percent\"]}),texttemplate:s({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),hoverinfo:l({},i.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:o({},{keys:[\"label\",\"color\",\"value\",\"text\",\"percent\"]}),textposition:l({},n.textposition,{values:[\"inside\",\"none\"],dflt:\"inside\"}),textfont:n.textfont,insidetextfont:n.insidetextfont,title:{text:n.title.text,font:n.title.font,position:l({},n.title.position,{values:[\"top 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n=t(\"../../lib\"),i=t(\"./attributes\"),a=t(\"../../plots/domain\").defaults,o=t(\"../bar/defaults\").handleText,s=t(\"../pie/defaults\").handleLabelsAndValues;e.exports=function(t,e,r,l){function c(r,a){return n.coerce(t,e,i,r,a)}var u=c(\"labels\"),f=c(\"values\"),h=s(u,f),p=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),p){e._length=p,c(\"marker.line.width\")&&c(\"marker.line.color\",l.paper_bgcolor),c(\"marker.colors\"),c(\"scalegroup\");var d,g=c(\"text\"),m=c(\"texttemplate\");if(m||(d=c(\"textinfo\",Array.isArray(g)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),m||d&&\"none\"!==d){var v=c(\"textposition\");o(t,e,l,c,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1})}a(e,l,c),c(\"title.text\")&&(c(\"title.position\"),n.coerceFont(c,\"title.font\",l.font)),c(\"aspectratio\"),c(\"baseratio\")}else e.visible=!1}},{\"../../lib\":803,\"../../plots/domain\":882,\"../bar/defaults\":945,\"../pie/defaults\":1195,\"./attributes\":1076}],1080:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"funnelarea\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"funnelarea\",\"showLegend\"],attributes:t(\"./attributes\"),layoutAttributes:t(\"./layout_attributes\"),supplyDefaults:t(\"./defaults\"),supplyLayoutDefaults:t(\"./layout_defaults\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\"),style:t(\"./style\"),styleOne:t(\"../pie/style_one\"),meta:{}}},{\"../pie/style_one\":1203,\"./attributes\":1076,\"./base_plot\":1077,\"./calc\":1078,\"./defaults\":1079,\"./layout_attributes\":1081,\"./layout_defaults\":1082,\"./plot\":1083,\"./style\":1084}],1081:[function(t,e,r){\"use strict\";var n=t(\"../pie/layout_attributes\").hiddenlabels;e.exports={hiddenlabels:n,funnelareacolorway:{valType:\"colorlist\",editType:\"calc\"},extendfunnelareacolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{\"../pie/layout_attributes\":1199}],1082:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"funnelareacolorway\",e.colorway),r(\"extendfunnelareacolors\")}},{\"../../lib\":803,\"./layout_attributes\":1081}],1083:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/drawing\"),a=t(\"../../lib\"),o=a.strScale,s=a.strTranslate,l=t(\"../../lib/svg_text_utils\"),c=t(\"../bar/plot\").toMoveInsideBar,u=t(\"../bar/uniform_text\"),f=u.recordMinTextSize,h=u.clearMinTextSize,p=t(\"../pie/helpers\"),d=t(\"../pie/plot\"),g=d.attachFxHandlers,m=d.determineInsideTextFont,v=d.layoutAreas,y=d.prerenderTitles,x=d.positionTitleOutside,b=d.formatSliceLabel;function _(t,e){return\"l\"+(e[0]-t[0])+\",\"+(e[1]-t[1])}e.exports=function(t,e){var r=t._fullLayout;h(\"funnelarea\",r),y(e,t),v(e,r._size),a.makeTraceGroups(r._funnelarealayer,e,\"trace\").each((function(e){var u=n.select(this),h=e[0],d=h.trace;!function(t){if(!t.length)return;var e=t[0],r=e.trace,n=r.aspectratio,i=r.baseratio;i>.999&&(i=.999);var a,o=Math.pow(i,2),s=e.vTotal,l=s,c=s*o/(1-o)/s;function u(){var t,e={x:t=Math.sqrt(c),y:-t};return[e.x,e.y]}var f,h,p=[];for(p.push(u()),f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var d=h.v/l;c+=d,p.push(u())}var 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w=\"M\"+(u+o.TR[0])+\",\"+(v+o.TR[1])+_(o.TR,o.BR)+_(o.BR,o.BL)+_(o.BL,o.TL)+\"Z\";x.attr(\"d\",w),b(t,o,h);var T=p.castOption(d.textposition,o.pts),k=y.selectAll(\"g.slicetext\").data(o.text&&\"none\"!==T?[0]:[]);k.enter().append(\"g\").classed(\"slicetext\",!0),k.exit().remove(),k.each((function(){var h=a.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),p=a.ensureUniformFontSize(t,m(d,o,r.font));h.text(o.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(i.font,p).call(l.convertToTspans,t);var g,y,x,b=i.bBox(h.node()),_=Math.min(o.BL[1],o.BR[1])+v,w=Math.max(o.TL[1],o.TR[1])+v;y=Math.max(o.TL[0],o.BL[0])+u,x=Math.min(o.TR[0],o.BR[0])+u,(g=c(y,x,_,w,b,{isHorizontal:!0,constrained:!0,angle:0,anchor:\"middle\"})).fontSize=p.size,f(d.type,g,r),e[s].transform=g,h.attr(\"transform\",a.getTextTransform(g))}))}}));var 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0===e.delta.font.size&&(e.delta.font.size=(e._hasNumber?.5:1)*(m||l.defaultNumberFontSize),w[1]=!0),d(\"delta.reference\",e.value),d(\"delta.relative\"),d(\"delta.valueformat\",e.delta.relative?\"2%\":\"\"),d(\"delta.increasing.symbol\"),d(\"delta.increasing.color\"),d(\"delta.decreasing.symbol\"),d(\"delta.decreasing.color\"),d(\"delta.position\"),v=e.delta.font.size),e._scaleNumbers=(!e._hasNumber||w[0])&&(!e._hasDelta||w[1])||!1,d(\"title.font.color\",p.font.color),d(\"title.font.family\",p.font.family),d(\"title.font.size\",.25*(m||v||l.defaultNumberFontSize)),d(\"title.text\"),e._hasGauge){(y=t.gauge)||(y={}),x=o.newContainer(e,\"gauge\"),T(\"shape\"),(e._isBullet=\"bullet\"===e.gauge.shape)||d(\"title.align\",\"center\"),(e._isAngular=\"angular\"===e.gauge.shape)||d(\"align\",\"center\"),T(\"bgcolor\",p.paper_bgcolor),T(\"borderwidth\"),T(\"bordercolor\"),T(\"bar.color\"),T(\"bar.line.color\"),T(\"bar.line.width\"),T(\"bar.thickness\",l.valueThickness*(\"bullet\"===e.gauge.shape?.5:1)),s(y,x,{name:\"steps\",handleItemDefaults:h}),T(\"threshold.value\"),T(\"threshold.thickness\"),T(\"threshold.line.width\"),T(\"threshold.line.color\"),b={},y&&(b=y.axis||{}),_=o.newContainer(x,\"axis\"),k(\"visible\"),e._range=k(\"range\",e._range);var A={outerTicks:!0};c(b,_,k,\"linear\"),f(b,_,k,\"linear\",A),u(b,_,k,A)}else d(\"title.align\",\"center\"),d(\"align\",\"center\"),e._isAngular=e._isBullet=!1;e._length=null}}},{\"../../lib\":803,\"../../plot_api/plot_template\":843,\"../../plots/array_container_defaults\":849,\"../../plots/cartesian/tick_label_defaults\":876,\"../../plots/cartesian/tick_mark_defaults\":877,\"../../plots/cartesian/tick_value_defaults\":878,\"../../plots/domain\":882,\"./attributes\":1147,\"./constants.js\":1150}],1152:[function(t,e,r){\"use strict\";e.exports={moduleType:\"trace\",name:\"indicator\",basePlotModule:t(\"./base_plot\"),categories:[\"svg\",\"noOpacity\",\"noHover\"],animatable:!0,attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,calc:t(\"./calc\").calc,plot:t(\"./plot\"),meta:{}}},{\"./attributes\":1147,\"./base_plot\":1148,\"./calc\":1149,\"./defaults\":1151,\"./plot\":1153}],1153:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolate,a=t(\"d3-interpolate\").interpolateNumber,o=t(\"../../lib\"),s=o.strScale,l=o.strTranslate,c=o.rad2deg,u=t(\"../../constants/alignment\").MID_SHIFT,f=t(\"../../components/drawing\"),h=t(\"./constants\"),p=t(\"../../lib/svg_text_utils\"),d=t(\"../../plots/cartesian/axes\"),g=t(\"../../plots/cartesian/axis_defaults\"),m=t(\"../../plots/cartesian/position_defaults\"),v=t(\"../../plots/cartesian/layout_attributes\"),y=t(\"../../components/color\"),x={left:\"start\",center:\"middle\",right:\"end\"},b={left:0,center:.5,right:1},_=/[yzafpn\\xb5mkMGTPEZY]/;function w(t){return t&&t.duration>0}function T(t){t.each((function(t){y.stroke(n.select(this),t.line.color)})).each((function(t){y.fill(n.select(this),t.color)})).style(\"stroke-width\",(function(t){return t.line.width}))}function k(t,e,r){var n=t._fullLayout,i=o.extendFlat({type:\"linear\",ticks:\"outside\",range:r,showline:!0},e),a={type:\"linear\",_id:\"x\"+e._id},s={letter:\"x\",font:n.font,noHover:!0,noTickson:!0};function l(t,e){return o.coerce(i,a,v,t,e)}return g(i,a,l,s,n),m(i,a,l,s),a}function A(t,e,r){return[Math.min(e/t.width,r/t.height),t,e+\"x\"+r]}function M(t,e,r,i){var a=document.createElementNS(\"http://www.w3.org/2000/svg\",\"text\"),o=n.select(a);return o.text(t).attr(\"x\",0).attr(\"y\",0).attr(\"text-anchor\",r).attr(\"data-unformatted\",t).call(p.convertToTspans,i).call(f.font,e),f.bBox(o.node())}function S(t,e,r,n,i,a){var s=\"_cache\"+e;t[s]&&t[s].key===i||(t[s]={key:i,value:r});var l=o.aggNums(a,null,[t[s].value,n],2);return t[s].value=l,l}e.exports=function(t,e,r,g){var m,v=t._fullLayout;w(r)&&g&&(m=g()),o.makeTraceGroups(v._indicatorlayer,e,\"trace\").each((function(e){var g,E,L,C,P,I=e[0].trace,O=n.select(this),z=I._hasGauge,D=I._isAngular,R=I._isBullet,F=I.domain,B={w:v._size.w*(F.x[1]-F.x[0]),h:v._size.h*(F.y[1]-F.y[0]),l:v._size.l+v._size.w*F.x[0],r:v._size.r+v._size.w*(1-F.x[1]),t:v._size.t+v._size.h*(1-F.y[1]),b:v._size.b+v._size.h*F.y[0]},N=B.l+B.w/2,j=B.t+B.h/2,U=Math.min(B.w/2,B.h),V=h.innerRadius*U,q=I.align||\"center\";if(E=j,z){if(D&&(g=N,E=j+U/2,L=function(t){return function(t,e){var r=Math.sqrt(t.width/2*(t.width/2)+t.height*t.height);return[e/r,t,e]}(t,.9*V)}),R){var H=h.bulletPadding,G=1-h.bulletNumberDomainSize+H;g=B.l+(G+(1-G)*b[q])*B.w,L=function(t){return A(t,(h.bulletNumberDomainSize-H)*B.w,B.h)}}}else g=B.l+b[q]*B.w,L=function(t){return A(t,B.w,B.h)};!function(t,e,r,i){var c,u,h,g=r[0].trace,m=i.numbersX,v=i.numbersY,T=g.align||\"center\",A=x[T],E=i.transitionOpts,L=i.onComplete,C=o.ensureSingle(e,\"g\",\"numbers\"),P=[];g._hasNumber&&P.push(\"number\");g._hasDelta&&(P.push(\"delta\"),\"left\"===g.delta.position&&P.reverse());var I=C.selectAll(\"text\").data(P);function O(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}I.enter().append(\"text\"),I.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),I.exit().remove();var z,D=g.mode+g.align;g._hasDelta&&(z=function(){var e=k(t,{tickformat:g.delta.valueformat},g._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=function(t){return g.delta.relative?t.relativeDelta:t.delta},s=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?g.delta.increasing.symbol:g.delta.decreasing.symbol)+e(t)},l=function(t){return t.delta>=0?g.delta.increasing.color:g.delta.decreasing.color};void 0===g._deltaLastValue&&(g._deltaLastValue=o(r[0]));var c=C.select(\"text.delta\");function h(){c.text(s(o(r[0]),i)).call(y.fill,l(r[0])).call(p.convertToTspans,t)}return c.call(f.font,g.delta.font).call(y.fill,l({delta:g._deltaLastValue})),w(E)?c.transition().duration(E.duration).ease(E.easing).tween(\"text\",(function(){var t=n.select(this),e=o(r[0]),c=g._deltaLastValue,u=O(g.delta.valueformat,i,c,e),f=a(c,e);return g._deltaLastValue=e,function(e){t.text(s(f(e),u)),t.call(y.fill,l({delta:f(e)}))}})).each(\"end\",(function(){h(),L&&L()})).each(\"interrupt\",(function(){h(),L&&L()})):h(),u=M(s(o(r[0]),i),g.delta.font,A,t),c}(),D+=g.delta.position+g.delta.font.size+g.delta.font.family+g.delta.valueformat,D+=g.delta.increasing.symbol+g.delta.decreasing.symbol,h=u);g._hasNumber&&(!function(){var e=k(t,{tickformat:g.number.valueformat},g._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=g.number.suffix,s=g.number.prefix,l=C.select(\"text.number\");function u(){var e=\"number\"==typeof r[0].y?s+i(r[0].y)+o:\"-\";l.text(e).call(f.font,g.number.font).call(p.convertToTspans,t)}w(E)?l.transition().duration(E.duration).ease(E.easing).each(\"end\",(function(){u(),L&&L()})).each(\"interrupt\",(function(){u(),L&&L()})).attrTween(\"text\",(function(){var t=n.select(this),e=a(r[0].lastY,r[0].y);g._lastValue=r[0].y;var l=O(g.number.valueformat,i,r[0].lastY,r[0].y);return function(r){t.text(s+l(e(r))+o)}})):u(),c=M(s+i(r[0].y)+o,g.number.font,A,t)}(),D+=g.number.font.size+g.number.font.family+g.number.valueformat+g.number.suffix+g.number.prefix,h=c);if(g._hasDelta&&g._hasNumber){var R,F,B=[(c.left+c.right)/2,(c.top+c.bottom)/2],N=[(u.left+u.right)/2,(u.top+u.bottom)/2],j=.75*g.delta.font.size;\"left\"===g.delta.position&&(R=S(g,\"deltaPos\",0,-1*(c.width*b[g.align]+u.width*(1-b[g.align])+j),D,Math.min),F=B[1]-N[1],h={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:u.left+R,right:c.right,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),\"right\"===g.delta.position&&(R=S(g,\"deltaPos\",0,c.width*(1-b[g.align])+u.width*b[g.align]+j,D,Math.max),F=B[1]-N[1],h={width:c.width+u.width+j,height:Math.max(c.height,u.height),left:c.left,right:u.right+R,top:Math.min(c.top,u.top+F),bottom:Math.max(c.bottom,u.bottom+F)}),\"bottom\"===g.delta.position&&(R=null,F=u.height,h={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height,bottom:c.bottom+u.height}),\"top\"===g.delta.position&&(R=null,F=c.top,h={width:Math.max(c.width,u.width),height:c.height+u.height,left:Math.min(c.left,u.left),right:Math.max(c.right,u.right),top:c.bottom-c.height-u.height,bottom:c.bottom}),z.attr({dx:R,dy:F})}(g._hasNumber||g._hasDelta)&&C.attr(\"transform\",(function(){var t=i.numbersScaler(h);D+=t[2];var e,r=S(g,\"numbersScale\",1,t[0],D,Math.min);g._scaleNumbers||(r=1),e=g._isAngular?v-r*h.bottom:v-r*(h.top+h.bottom)/2,g._numbersTop=r*h.top+e;var n=h[T];\"center\"===T&&(n=(h.left+h.right)/2);var a=m-r*n;return a=S(g,\"numbersTranslate\",0,a,D,Math.max),l(a,e)+s(r)}))}(t,O,e,{numbersX:g,numbersY:E,numbersScaler:L,transitionOpts:r,onComplete:m}),z&&(C={range:I.gauge.axis.range,color:I.gauge.bgcolor,line:{color:I.gauge.bordercolor,width:0},thickness:1},P={range:I.gauge.axis.range,color:\"rgba(0, 0, 0, 0)\",line:{color:I.gauge.bordercolor,width:I.gauge.borderwidth},thickness:1});var Y=O.selectAll(\"g.angular\").data(D?e:[]);Y.exit().remove();var W=O.selectAll(\"g.angularaxis\").data(D?e:[]);W.exit().remove(),D&&function(t,e,r,a){var o,s,f,h,p=r[0].trace,g=a.size,m=a.radius,v=a.innerRadius,y=a.gaugeBg,x=a.gaugeOutline,b=[g.l+g.w/2,g.t+g.h/2+m/2],_=a.gauge,A=a.layer,M=a.transitionOpts,S=a.onComplete,E=Math.PI/2;function L(t){var e=p.gauge.axis.range[0],r=(t-e)/(p.gauge.axis.range[1]-e)*Math.PI-E;return r<-E?-E:r>E?E:r}function C(t){return n.svg.arc().innerRadius((v+m)/2-t/2*(m-v)).outerRadius((v+m)/2+t/2*(m-v)).startAngle(-E)}function P(t){t.attr(\"d\",(function(t){return C(t.thickness).startAngle(L(t.range[0])).endAngle(L(t.range[1]))()}))}_.enter().append(\"g\").classed(\"angular\",!0),_.attr(\"transform\",l(b[0],b[1])),A.enter().append(\"g\").classed(\"angularaxis\",!0).classed(\"crisp\",!0),A.selectAll(\"g.xangularaxistick,path,text\").remove(),(o=k(t,p.gauge.axis)).type=\"linear\",o.range=p.gauge.axis.range,o._id=\"xangularaxis\",o.ticklabeloverflow=\"allow\",o.setScale();var I=function(t){return(o.range[0]-t.x)/(o.range[1]-o.range[0])*Math.PI+Math.PI},O={},z=d.makeLabelFns(o,0).labelStandoff;O.xFn=function(t){var e=I(t);return Math.cos(e)*z},O.yFn=function(t){var e=I(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(z+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*u)},O.anchorFn=function(t){var e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+m*Math.cos(t),b[1]-m*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,q=L(r[0].lastY),H=L(r[0].y),function(){var t=i(q,H);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,q,H;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../surface/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat;e.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=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.intensity&&n(t,e,{vals:e.intensity,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":674}],1161:[function(t,e,r){\"use strict\";var n=t(\"gl-mesh3d\"),i=t(\"delaunay-triangulate\"),a=t(\"alpha-shape\"),o=t(\"convex-hull\"),s=t(\"../../lib/gl_format_color\").parseColorScale,l=t(\"../../lib/str2rgbarray\"),c=t(\"../../components/colorscale\").extractOpts,u=t(\"../../plots/gl3d/zip3\");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<r;n++)e[n]=l(t[n]);return e}function d(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function m(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[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 n,f=t.x.length,h=u(d(r.xaxis,t.x,e.dataScale[0],t.xcalendar),d(r.yaxis,t.y,e.dataScale[1],t.ycalendar),d(r.zaxis,t.z,e.dataScale[2],t.zcalendar));if(t.i&&t.j&&t.k){if(t.i.length!==t.j.length||t.j.length!==t.k.length||!m(t.i,f)||!m(t.j,f)||!m(t.k,f))return;n=u(g(t.i),g(t.j),g(t.k))}else n=0===t.alphahull?o(h):t.alphahull>0?a(t.alphahull,h):function(t,e){for(var r=[\"x\",\"y\",\"z\"].indexOf(t),n=[],a=e.length,o=0;o<a;o++)n[o]=[e[o][(r+1)%3],e[o][(r+2)%3]];return i(n)}(t.delaunayaxis,h);var v={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:l(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var y=c(t);this.color=\"#fff\";var x=t.intensitymode;v[x+\"Intensity\"]=t.intensity,v[x+\"IntensityBounds\"]=[y.min,y.max],v.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],v.vertexColors=p(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],v.cellColors=p(t.facecolor)):(this.color=t.color,v.meshColor=l(t.color));this.mesh.update(v)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new f(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../components/colorscale\":678,\"../../lib/gl_format_color\":799,\"../../lib/str2rgbarray\":828,\"../../plots/gl3d/zip3\":907,\"alpha-shape\":75,\"convex-hull\":141,\"delaunay-triangulate\":180,\"gl-mesh3d\":315}],1162:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");e.exports=function(t,e,r,s){function l(r,n){return i.coerce(t,e,o,r,n)}function c(t){var e=t.map((function(t){var e=l(t);return e&&i.isArrayOrTypedArray(e)?e:null}));return e.every((function(t){return 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n=t(\"../../lib\").extendFlat,i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/drawing/attributes\").dash,s=t(\"../../components/fx/attributes\"),l=t(\"../../constants/delta.js\"),c=l.INCREASING.COLOR,u=l.DECREASING.COLOR,f=i.line;function 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E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function g(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function m(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=y(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,c=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),g=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=c&&c<=t.leftXs[l+1]+2){var m=t.parcatsViewModel.dimensions[l],v=t.parcatsViewModel.dimensions[l+1];i=(m.x+m.width+v.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+g.left,y:_-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(g),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:y,eventData:[{data:p._input,fullData:p,count:g,category:m,probability:v}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron;if(\"color\"===l?(!function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(this),S(this,\"plotly_hover\",n.event)):(!function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),A.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(g),N(g)),g}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var _=v.categoryInds[b],w=i[b][_],T=a[b];x[T]=n[T][w],n[T][w]+=m;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||v.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:v.color,rawColor:v.rawColor,height:m,width:k.width,count:v.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=m,E.count+=v.count}}y=\"hspline\"===t.pathShape?B(s,x,l,m,.5):B(s,x,l,m,0),h[g]={key:v.valueInds[0],model:v,height:m,leftXs:s,topYs:x,dimWidths:l,svgD:y,parcatsViewModel:t}}t.paths=h}function j(t){var e=t.model.dimensions.map((function(t){return{displayInd:t.displayInd,dimensionInd:t.dimensionInd}}));e.sort((function(t,e){return t.displayInd-e.displayInd}));var r=[];for(var n in e){var i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var a,o,s,l,c,u=[],f=t.model.maxCats,h=e.categories.length,p=e.count,d=t.height-8*(f-1),g=8*(f-h)/2,m=e.categories.map((function(t){return{displayInd:t.displayInd,categoryInd:t.categoryInd}}));for(m.sort((function(t,e){return t.displayInd-e.displayInd})),c=0;c<h;c++)l=m[c].categoryInd,o=e.categories[l],a=p>0?o.count/p*d:0,s={key:o.valueInds[0],model:o,width:16,height:a,y:null!==o.dragY?o.dragY:g,bands:[],parcatsViewModel:t},g=g+a+8,u.push(s);return{key:e.dimensionInd,x:null!==e.dragX?e.dragX:r,y:0,width:16,model:e,categories:u,parcatsViewModel:t,dragCategoryDisplayInd:null,dragDimensionDisplayInd:null,initialDragDimensionDisplayInds:null,initialDragCategoryDisplayInds:null,dragHasMoved:null,potentialClickBand:null}}e.exports=function(t,e,r,n){h(r,t,n,e)}},{\"../../components/drawing\":688,\"../../components/fx\":706,\"../../lib\":803,\"../../lib/svg_text_utils\":829,\"../../plot_api/plot_api\":840,\"@plotly/d3\":58,\"d3-interpolate\":171,tinycolor2:598}],1179:[function(t,e,r){\"use 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../plot_api/plot_template\":843,\"../../plots/cartesian/layout_attributes\":869,\"../../plots/domain\":882,\"../../plots/font_attributes\":883}],1181:[function(t,e,r){\"use 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r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else 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t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":803,\"../../lib/gup\":800,\"./constants\":1184,\"@plotly/d3\":58}],1182:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":780,\"../../plots/get_data\":891,\"./plot\":1191,\"@plotly/d3\":58}],1183:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":678,\"../../lib\":803,\"../../lib/gup\":800}],1184:[function(t,e,r){\"use 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":803}],1187:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":1180,\"./base_plot\":1182,\"./calc\":1183,\"./defaults\":1185,\"./plot\":1191}],1188:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(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 h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var g=[[],[]],m=0;m<64;m++)g[0][m]=m===i?1:0,g[1][m]=m===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:g[0].slice(0,16),dim0B:g[0].slice(16,32),dim0C:g[0].slice(32,48),dim0D:g[0].slice(48,64),dim1A:g[1].slice(0,16),dim1B:g[1].slice(16,32),dim1C:g[1].slice(32,48),dim1D:g[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(u),C=[];I(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:1,dstAlpha:1},equation:{rgb:\"add\",alpha:\"add\"},color:[0,0,0,0]},depth:{enable:!_,mask:!0,func:\"less\",range:[0,1]},cull:{enable:!0,face:\"back\"},scissor:{enable:!0,box:{x:T.prop(\"scissorX\"),y:T.prop(\"scissorY\"),width:T.prop(\"scissorWidth\"),height:T.prop(\"scissorHeight\")}},viewport:{x:T.prop(\"viewportX\"),y:T.prop(\"viewportY\"),width:T.prop(\"viewportWidth\"),height:T.prop(\"viewportHeight\")},dither:!1,vert:i,frag:a,primitive:\"lines\",lineWidth:M,attributes:E,uniforms:{resolution:T.prop(\"resolution\"),viewBoxPos:T.prop(\"viewBoxPos\"),viewBoxSize:T.prop(\"viewBoxSize\"),dim0A:T.prop(\"dim0A\"),dim1A:T.prop(\"dim1A\"),dim0B:T.prop(\"dim0B\"),dim1B:T.prop(\"dim1B\"),dim0C:T.prop(\"dim0C\"),dim1C:T.prop(\"dim1C\"),dim0D:T.prop(\"dim0D\"),dim1D:T.prop(\"dim1D\"),loA:T.prop(\"loA\"),hiA:T.prop(\"hiA\"),loB:T.prop(\"loB\"),hiB:T.prop(\"hiB\"),loC:T.prop(\"loC\"),hiC:T.prop(\"hiC\"),loD:T.prop(\"loD\"),hiD:T.prop(\"hiD\"),palette:L,contextColor:T.prop(\"contextColor\"),maskTexture:T.prop(\"maskTexture\"),drwLayer:T.prop(\"drwLayer\"),maskHeight:T.prop(\"maskHeight\")},offset:T.prop(\"offset\"),count:T.prop(\"count\")});function I(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),m=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(m,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[v(n)](g(n/4,e,r))}(E,m,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},u)))}return{render:function(t,e,n){var i,a,o,s=t.length,c=1/0,u=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<c&&(c=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>u&&(u=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,c=(e-s)/8,u=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+c]&=~u;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],g=d.dim0.crossfilterDimensionIndex,v=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[g]||C[g][0]!==k||C[g][1]!==M){C[g]=[k,M];var L=y(r,a,o,i,g,v,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var I=e?r.lines.blockLineCount:m;h(T,P,S,I,m,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:c}),c},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:I}}},{\"../../lib\":803,\"./constants\":1184,glslify:442}],1189:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},{}],1190:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"color-rgba\"),s=t(\"../../plots/cartesian/axes\"),l=i.strRotate,c=i.strTranslate,u=t(\"../../lib/svg_text_utils\"),f=t(\"../../components/drawing\"),h=t(\"../../components/colorscale\"),p=t(\"../../lib/gup\"),d=p.keyFun,g=p.repeat,m=p.unwrap,v=t(\"./helpers\"),y=t(\"./constants\"),x=t(\"./axisbrush\"),b=t(\"./lines\");function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,c=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-c[0])/(c[1]-c[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(c).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=m(e),s=a.trace,l=v.convertTypedArray(a.lineColor),c=s.line,u={color:o(y.deselectedLineColor)},f=h.extractOpts(c),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,g=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},c,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:y.blockLineCount,canvasOverdrag:y.overdrag*y.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,I=L;return{key:r,colCount:g.filter(v.isVisible).length,dimensions:g,tickDistance:y.tickDistance,unitToColor:S(p),lines:M,deselectedLines:u,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*y.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:I*y.canvasPixelRatio,width:P,height:I,canvasPixelRatio:y.canvasPixelRatio}}function C(t,e,r){var o=r.width,s=r.height,l=r.dimensions,c=r.canvasPixelRatio,u=function(t){return o*t/Math.max(1,r.colCount-1)},f=y.verticalPadding/s,h=function(t,e){return n.scale.linear().range([e,t-e])}(s,y.verticalPadding),p={key:r.key,xScale:u,model:r,inBrushDrag:!1},d={};return p.dimensions=l.filter(v.isVisible).map((function(o,l){var g=function(t,e){return n.scale.linear().domain(T(t)).range([e,1-e])}(o,f),m=d[o.label];d[o.label]=(m||0)+1;var b=o.label+(m?\"__\"+m:\"\"),_=o.constraintrange,w=_&&_.length;w&&!Array.isArray(_[0])&&(_=[_]);var k=w?_.map((function(t){return t.map(g)})):[[-1/0,1/0]],S=o.values;S.length>o._length&&(S=S.slice(0,o._length));var L,C=o.tickvals;function P(t,e){return{val:t,text:L[e]}}function I(t,e){return t.val-e.val}if(Array.isArray(C)&&C.length){L=o.ticktext,Array.isArray(L)&&L.length?L.length>C.length?L=L.slice(0,C.length):C.length>L.length&&(C=C.slice(0,L.length)):L=C.map(a(o.tickformat));for(var O=1;O<C.length;O++)if(C[O]<C[O-1]){for(var z=C.map(P).sort(I),D=0;D<C.length;D++)C[D]=z[D].val,L[D]=z[D].text;break}}else C=void 0;return S=v.convertTypedArray(S),{key:b,label:o.label,tickFormat:o.tickformat,tickvals:C,ticktext:L,ordinal:v.isOrdinal(o),multiselect:o.multiselect,xIndex:l,crossfilterDimensionIndex:l,visibleIndex:o._index,height:s,values:S,paddedUnitValues:S.map(g),unitTickvals:C&&C.map(g),xScale:u,x:u(l),canvasX:u(l)*c,unitToPaddedPx:h,domainScale:A(s,y.verticalPadding,o,C,L),ordinalScale:M(o),parent:p,model:r,brush:x.makeBrush(t,w,k,(function(){t.linePickActive(!1)}),(function(){var e=p;e.focusLayer&&e.focusLayer.render(e.panels,!0);var r=E(e);!t.contextShown()&&r?(e.contextLayer&&e.contextLayer.render(e.panels,!0),t.contextShown(!0)):t.contextShown()&&!r&&(e.contextLayer&&e.contextLayer.render(e.panels,!0,!0),t.contextShown(!1))}),(function(r){if(p.focusLayer.render(p.panels,!0),p.pickLayer&&p.pickLayer.render(p.panels,!0),t.linePickActive(!0),e&&e.filterChanged){var n=g.invert,a=r.map((function(t){return t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(y.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function I(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function O(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function z(t,e){return s.tickText(t._ax,e,!1).text}function D(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return z(t.model.dimensions[t.visibleIndex],n)}e.exports=function(t,e,r,a){var o=t._fullLayout,h=o._toppaper,p=o._glcontainer,_=t._context.plotGlPixelRatio,T=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top 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r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;if((y=+y)<0)continue}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":666,\"fast-isnumeric\":249,tinycolor2:598}],1195:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":803,\"../../plots/domain\":882,\"../bar/defaults\":945,\"./attributes\":1192,\"fast-isnumeric\":249}],1196:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,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}},{\"../../components/fx/helpers\":702}],1197:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":803}],1198:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":1192,\"./base_plot\":1193,\"./calc\":1194,\"./defaults\":1195,\"./layout_attributes\":1199,\"./layout_defaults\":1200,\"./plot\":1201,\"./style\":1202,\"./style_one\":1203}],1199:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],1200:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":803,\"./layout_attributes\":1199}],1201:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[m.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),g=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=m.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:g,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:g-p*i.r,_y1:u?s+t.BL[1]:g+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);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*g);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=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/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 I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(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}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var 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i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+c.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(\".\"+c.sankeyNode).filter(m(t)).call(v)}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(\".\"+c.sankeyLink).filter((function(t){return t.link.label===i})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),r&&h(e,t).selectAll(c.sankeyNode).filter(m(t)).call(y)}function _(t,e){var r=t.hoverlabel||{},n=i.nestedProperty(r,e).get();return!Array.isArray(n)&&n}e.exports=function(t,e){for(var r=t._fullLayout,i=r._paper,h=r._size,g=0;g<t._fullData.length;g++)if(t._fullData[g].visible&&t._fullData[g].type===c.sankey&&!t._fullData[g]._viewInitial){var m=t._fullData[g].node;t._fullData[g]._viewInitial={node:{groups:m.groups.slice(),x:m.x.slice(),y:m.y.slice()}}}var w=u(t,\"source:\")+\" \",T=u(t,\"target:\")+\" \",k=u(t,\"concentration:\")+\" \",A=u(t,\"incoming flow count:\")+\" \",M=u(t,\"outgoing flow count:\")+\" \";o(t,i,e,{width:h.w,height:h.h,margin:{t:h.t,r:h.r,b:h.b,l:h.l}},{linkEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(x.bind(0,r,i,!0)),\"skip\"!==r.link.trace.link.hoverinfo&&(r.link.fullData=r.link.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.link]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.link.trace.link;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){for(var c=[],u=0,h=0;h<i.flow.links.length;h++){var g=i.flow.links[h];if(\"closest\"!==t._fullLayout.hovermode||i.link.pointNumber===g.pointNumber){i.link.pointNumber===g.pointNumber&&(u=h),g.fullData=g.trace,o=i.link.trace.link;var m=y(g),v={valueLabel:a(i.valueFormat)(g.value)+i.valueSuffix};c.push({x:m[0],y:m[1],name:v.valueLabel,text:[g.label||\"\",w+g.source.label,T+g.target.label,g.concentrationscale?k+a(\"%0.2f\")(g.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(g.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<m[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:v,eventData:[g]})}}s.loneHover(c,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:u}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function y(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var n=[e,r];return\"v\"===t.trace.orientation&&n.reverse(),n[0]+=i.parent.translateX,n[1]+=i.parent.translateY,n}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(b.bind(0,i,a,!0)),\"skip\"!==i.link.trace.link.hoverinfo&&(i.link.fullData=i.link.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.link]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r){var i=r.link;i.originalEvent=n.event,t._hoverdata=[i],s.click(t,{target:!0})}},nodeEvents:{hover:function(e,r,i){!1!==t._fullLayout.hovermode&&(n.select(e).call(v,r,i),\"skip\"!==r.node.trace.node.hoverinfo&&(r.node.fullData=r.node.trace,t.emit(\"plotly_hover\",{event:n.event,points:[r.node]})))},follow:function(e,i){if(!1!==t._fullLayout.hovermode){var o=i.node.trace.node;if(\"none\"!==o.hoverinfo&&\"skip\"!==o.hoverinfo){var l=n.select(e).select(\".\"+c.nodeRect),u=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),g=h.left-2-u.left,m=h.right+2-u.left,v=h.top+h.height/4-u.top,y={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*g,x1:x*m,y:b*v,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,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(y,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 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n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*g,a.node.y[_]*m];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" 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\"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function 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n=t(\"../../components/colorscale/helpers\").hasColorscale,i=t(\"../../components/colorscale/calc\"),a=t(\"./subtypes\");e.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},{\"../../components/colorscale/calc\":674,\"../../components/colorscale/helpers\":677,\"./subtypes\":1243}],1222:[function(t,e,r){\"use strict\";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],1223:[function(t,e,r){\"use strict\";var n=t(\"./calc\");function i(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return 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n=t(\"../../components/color\"),i=t(\"../../lib\").isArrayOrTypedArray;e.exports=function(t,e,r,a){var o=!1;if(e.marker){var s=e.marker.color,l=(e.marker.line||{}).color;s&&!i(s)?o=s:l&&!i(l)&&(o=l)}a(\"fillcolor\",n.addOpacity((e.line||{}).color||o||r,.5))}},{\"../../components/color\":666,\"../../lib\":803}],1227:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a={_fullLayout:r},o=n.getFromTrace(a,e,\"x\"),s=n.getFromTrace(a,e,\"y\");return i.xLabel=n.tickText(o,o.c2l(t.x),!0).text,i.yLabel=n.tickText(s,s.c2l(t.y),!0).text,i}},{\"../../plots/cartesian/axes\":854}],1228:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./subtypes\");e.exports=function(t,e){var r,a;if(\"lines\"===t.mode)return(r=t.line.color)&&n.opacity(r)?r:t.fillcolor;if(\"none\"===t.mode)return t.fill?t.fillcolor:\"\";var 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d=t.opacity;if(t.marker&&t.marker.opacity&&(d*=t.marker.opacity),r={gl:this.scene.glplot.gl,position:p.position,color:p.scatterColor,size:p.scatterSize,glyph:p.scatterMarker,opacity:d,orthographic:!0,lineWidth:p.scatterLineWidth,lineColor:p.scatterLineColor,project:p.project,projectScale:p.projectScale,projectOpacity:p.projectOpacity},-1!==this.mode.indexOf(\"markers\")?this.scatterPlot?this.scatterPlot.update(r):(this.scatterPlot=i(r),this.scatterPlot._trace=this,this.scatterPlot.highlightScale=1,this.scene.glplot.add(this.scatterPlot)):this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose(),this.scatterPlot=null),c={gl:this.scene.glplot.gl,position:p.position,glyph:p.text,color:p.textColor,size:p.textSize,angle:p.textAngle,alignment:p.textOffset,font:p.textFont,orthographic:!0,lineWidth:0,project:!1,opacity:t.opacity},this.textLabels=t.hovertext||t.text,-1!==this.mode.indexOf(\"text\")?this.textMarkers?this.textMarkers.update(c):(this.textMarkers=i(c),this.textMarkers._trace=this,this.textMarkers.highlightScale=1,this.scene.glplot.add(this.textMarkers)):this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose(),this.textMarkers=null),l={gl:this.scene.glplot.gl,position:p.position,color:p.errorColor,error:p.errorBounds,lineWidth:p.errorLineWidth,capSize:p.errorCapSize,opacity:t.opacity},this.errorBars?p.errorBounds?this.errorBars.update(l):(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose(),this.errorBars=null):p.errorBounds&&(this.errorBars=a(l),this.errorBars._trace=this,this.scene.glplot.add(this.errorBars)),p.delaunayAxis>=0){var g=function(t,e,r){var n,i=(r+1)%3,a=(r+2)%3,o=[],l=[];for(n=0;n<t.length;++n){var c=t[n];!isNaN(c[i])&&isFinite(c[i])&&!isNaN(c[a])&&isFinite(c[a])&&(o.push([c[i],c[a]]),l.push(n))}var u=s(o);for(n=0;n<u.length;++n)for(var f=u[n],h=0;h<f.length;++h)f[h]=l[f[h]];return{positions:t,cells:u,meshColor:e}}(p.position,p.delaunayColor,p.delaunayAxis);g.opacity=t.opacity,this.delaunayMesh?this.delaunayMesh.update(g):(g.gl=u,this.delaunayMesh=o(g),this.delaunayMesh._trace=this,this.scene.glplot.add(this.delaunayMesh))}else this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose(),this.delaunayMesh=null)},y.dispose=function(){this.linePlot&&(this.scene.glplot.remove(this.linePlot),this.linePlot.dispose()),this.scatterPlot&&(this.scene.glplot.remove(this.scatterPlot),this.scatterPlot.dispose()),this.errorBars&&(this.scene.glplot.remove(this.errorBars),this.errorBars.dispose()),this.textMarkers&&(this.scene.glplot.remove(this.textMarkers),this.textMarkers.dispose()),this.delaunayMesh&&(this.scene.glplot.remove(this.delaunayMesh),this.delaunayMesh.dispose())},e.exports=function(t,e){var r=new v(t,e.uid);return r.update(e),r}},{\"../../components/fx/helpers\":702,\"../../constants/gl3d_dashes\":776,\"../../constants/gl3d_markers\":777,\"../../lib\":803,\"../../lib/gl_format_color\":799,\"../../lib/str2rgbarray\":828,\"../../plots/cartesian/axes\":854,\"../scatter/make_bubble_size_func\":1235,\"./calc_errors\":1248,\"delaunay-triangulate\":180,\"gl-error3d\":273,\"gl-line3d\":281,\"gl-mesh3d\":315,\"gl-scatter3d\":334}],1250:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,n){return i.coerce(t,e,c,r,n)}if(function(t,e,r,i){var a=0,o=r(\"x\"),s=r(\"y\"),l=r(\"z\");n.getComponentMethod(\"calendars\",\"handleTraceDefaults\")(t,e,[\"x\",\"y\",\"z\"],i),o&&s&&l&&(a=Math.min(o.length,s.length,l.length),e._length=e._xlength=e._ylength=e._zlength=a);return 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strict\";e.exports={plot:t(\"./convert\"),attributes:t(\"./attributes\"),markerSymbols:t(\"../../constants/gl3d_markers\"),supplyDefaults:t(\"./defaults\"),colorbar:[{container:\"marker\",min:\"cmin\",max:\"cmax\"},{container:\"line\",min:\"cmin\",max:\"cmax\"}],calc:t(\"./calc\"),moduleType:\"trace\",name:\"scatter3d\",basePlotModule:t(\"../../plots/gl3d\"),categories:[\"gl3d\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},{\"../../constants/gl3d_markers\":777,\"../../plots/gl3d\":896,\"./attributes\":1246,\"./calc\":1247,\"./convert\":1249,\"./defaults\":1250}],1252:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../../plots/template_attributes\").texttemplateAttrs,s=t(\"../../components/colorscale/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=n.marker,u=n.line,f=c.line;e.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:u.color,width:u.width,dash:u.dash,shape:l({},u.shape,{values:[\"linear\",\"spline\"]}),smoothing:u.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:c.symbol,opacity:c.opacity,maxdisplayed:c.maxdisplayed,size:c.size,sizeref:c.sizeref,sizemin:c.sizemin,sizemode:c.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:c.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},{\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../plots/attributes\":850,\"../../plots/template_attributes\":926,\"../scatter/attributes\":1218}],1253:[function(t,e,r){\"use 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var v=[];(a.hasMarkers(e)||a.hasText(e))&&(p(\"marker.maxdisplayed\"),v.push(\"points\")),p(\"fill\"),\"none\"!==e.fill&&(u(t,e,r,p),a.hasLines(e)||l(t,e,p)),\"tonext\"!==e.fill&&\"toself\"!==e.fill||v.push(\"fills\"),\"fills\"!==p(\"hoveron\",v.join(\"+\")||\"points\")&&p(\"hovertemplate\"),n.coerceSelectionMarkerOpacity(e,p)}else e.visible=!1}},{\"../../lib\":803,\"../scatter/constants\":1222,\"../scatter/fillcolor_defaults\":1226,\"../scatter/line_defaults\":1231,\"../scatter/line_shape_defaults\":1233,\"../scatter/marker_defaults\":1237,\"../scatter/subtypes\":1243,\"../scatter/text_defaults\":1244,\"./attributes\":1252}],1255:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){var a=n[i];return t.a=a.a,t.b=a.b,t.y=a.y,t}},{}],1256:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r={},n=e._carpet,i=n.ab2ij([t.a,t.b]),a=Math.floor(i[0]),o=i[0]-a,s=Math.floor(i[1]),l=i[1]-s,c=n.evalxy([],a,s,o,l);return r.yLabel=c[1].toFixed(3),r}},{}],1257:[function(t,e,r){\"use 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var 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t.lonLabel=b.lonLabel,t.latLabel=b.latLabel,t.color=a(c,g),t.extraText=function(t,e,r,n){if(t.hovertemplate)return;var i=e.hi||t.hoverinfo,a=\"all\"===i?s.hoverinfo.flags:i.split(\"+\"),l=-1!==a.indexOf(\"location\")&&Array.isArray(t.locations),c=-1!==a.indexOf(\"lon\"),u=-1!==a.indexOf(\"lat\"),f=-1!==a.indexOf(\"text\"),h=[];function p(t){return t+\"\\xb0\"}l?h.push(e.loc):c&&u?h.push(\"(\"+p(r.latLabel)+\", \"+p(r.lonLabel)+\")\"):c?h.push(n.lon+p(r.lonLabel)):u&&h.push(n.lat+p(r.latLabel));f&&o(e,t,h);return h.join(\"<br>\")}(c,g,t,l[0].t.labels),t.hovertemplate=c.hovertemplate,[t]}}},{\"../../components/fx\":706,\"../../constants/numerical\":779,\"../../lib\":803,\"../scatter/get_trace_color\":1228,\"./attributes\":1260}],1266:[function(t,e,r){\"use 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../lib/topojson_utils\").getTopojsonFeatures,o=t(\"../../lib/geojson_utils\"),s=t(\"../../lib/geo_location_utils\"),l=t(\"../../plots/cartesian/autorange\").findExtremes,c=t(\"../../constants/numerical\").BADNUM,u=t(\"../scatter/calc\").calcMarkerSize,f=t(\"../scatter/subtypes\"),h=t(\"./style\");e.exports={calcGeoJSON:function(t,e){var r,n,i=t[0].trace,o=e[i.geo],f=o._subplot,h=i._length;if(Array.isArray(i.locations)){var p=i.locationmode,d=\"geojson-id\"===p?s.extractTraceFeature(t):a(i,f.topojson);for(r=0;r<h;r++){n=t[r];var g=\"geojson-id\"===p?n.fOut:s.locationToFeature(p,n.loc,d);n.lonlat=g?g.properties.ct:[c,c]}}var m,v,y={padded:!0};if(\"geojson\"===o.fitbounds&&\"geojson-id\"===i.locationmode){var x=s.computeBbox(s.getTraceGeojson(i));m=[x[0],x[2]],v=[x[1],x[3]]}else{for(m=new Array(h),v=new 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s=o.calcTraceToLineCoords(e),c=\"none\"!==a.fill?o.makePolygon(s):o.makeLine(s);r.selectAll(\"path.js-line\").data([{geojson:c,trace:a}]).enter().append(\"path\").classed(\"js-line\",!0).style(\"stroke-miterlimit\",2)}f.hasMarkers(a)&&r.selectAll(\"path.point\").data(i.identity).enter().append(\"path\").classed(\"point\",!0).each((function(t){l(t,this)})),f.hasText(a)&&r.selectAll(\"g\").data(i.identity).enter().append(\"g\").append(\"text\").each((function(t){l(t,this)})),h(t,e)}))}}},{\"../../constants/numerical\":779,\"../../lib\":803,\"../../lib/geo_location_utils\":796,\"../../lib/geojson_utils\":797,\"../../lib/topojson_utils\":832,\"../../plots/cartesian/autorange\":853,\"../scatter/calc\":1219,\"../scatter/subtypes\":1243,\"./style\":1269,\"@plotly/d3\":58}],1268:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"../../constants/numerical\").BADNUM;e.exports=function(t,e){var 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e=n.select(this),r=t.trace,o=r.line||{};e.call(a.stroke,o.color).call(i.dashLine,o.dash||\"\",o.width||0),\"none\"!==r.fill&&e.call(a.fill,r.fillcolor)}))}(t,e)}},{\"../../components/color\":666,\"../../components/drawing\":688,\"../scatter/style\":1242,\"@plotly/d3\":58}],1270:[function(t,e,r){\"use strict\";var n=t(\"../../plots/attributes\"),i=t(\"../scatter/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../components/colorscale/attributes\"),s=t(\"../../lib/sort_object_keys\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll,u=t(\"./constants\").DASHES,f=i.line,h=i.marker,p=h.line,d=e.exports=c({x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),text:i.text,hovertext:i.hovertext,textposition:i.textposition,textfont:i.textfont,mode:{valType:\"flaglist\",flags:[\"lines\",\"markers\",\"text\"],extras:[\"none\"]},line:{color:f.color,width:f.width,shape:{valType:\"enumerated\",values:[\"linear\",\"hv\",\"vh\",\"hvh\",\"vhv\"],dflt:\"linear\",editType:\"plot\"},dash:{valType:\"enumerated\",values:s(u),dflt:\"solid\"}},marker:l({},o(\"marker\"),{symbol:h.symbol,size:h.size,sizeref:h.sizeref,sizemin:h.sizemin,sizemode:h.sizemode,opacity:h.opacity,colorbar:h.colorbar,line:l({},o(\"marker.line\"),{width:p.width})}),connectgaps:i.connectgaps,fill:l({},i.fill,{dflt:\"none\"}),fillcolor:i.fillcolor,selected:{marker:i.selected.marker,textfont:i.selected.textfont},unselected:{marker:i.unselected.marker,textfont:i.unselected.textfont},opacity:n.opacity},\"calc\",\"nested\");d.x.editType=d.y.editType=d.x0.editType=d.y0.editType=\"calc+clearAxisTypes\",d.hovertemplate=i.hovertemplate,d.texttemplate=i.texttemplate},{\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../lib/sort_object_keys\":826,\"../../plot_api/edit_types\":836,\"../../plots/attributes\":850,\"../../plots/cartesian/axis_format_attributes\":857,\"../scatter/attributes\":1218,\"./constants\":1272}],1271:[function(t,e,r){\"use 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T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":688,\"../../components/fx/helpers\":702,\"../../constants/interactions\":778,\"../../lib\":803,\"../../lib/gl_format_color\":799,\"../../plots/cartesian/axis_ids\":858,\"../../registry\":931,\"../scatter/make_bubble_size_func\":1235,\"../scatter/subtypes\":1243,\"./constants\":1272,\"./helpers\":1277,\"color-normalize\":131,\"fast-isnumeric\":249,\"svg-path-sdf\":595}],1274:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m),m(\"xhoverformat\"),m(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":803,\"../../registry\":931,\"../scatter/constants\":1222,\"../scatter/fillcolor_defaults\":1226,\"../scatter/line_defaults\":1231,\"../scatter/marker_defaults\":1237,\"../scatter/period_defaults\":1238,\"../scatter/subtypes\":1243,\"../scatter/text_defaults\":1244,\"../scatter/xy_defaults\":1245,\"./attributes\":1270,\"./helpers\":1277}],1275:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":666,\"../../constants/interactions\":778,\"../../lib\":803}],1276:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":1227}],1277:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":1272}],1278:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,g=t.cd,m=g[0].t,v=g[0].trace,y=t.xa,x=t.ya,b=m.x,_=m.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(m.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?m.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):m.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=m.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":803,\"../../registry\":931,\"../scatter/get_trace_color\":1228}],1279:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":868,\"../scatter/cross_trace_defaults\":1224,\"../scatter/marker_colorbar\":1236,\"./attributes\":1270,\"./calc\":1271,\"./defaults\":1274,\"./format_labels\":1276,\"./hover\":1278,\"./plot\":1280,\"./select\":1282}],1280:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_)),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var A=m.dragmode,M=l(A),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],L=E.trace,C=E.t,P=C.index,I=L._length,O=C.x,z=C.y;if(L.selectedpoints||M||S){if(M||(M=!0),L.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(L),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=C.xpx=new Array(I),N=C.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(O[g]),N[g]=x.c2p(z[g])}else C.xpx=C.ypx=null}if(M){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x,t._context.plotGlPixelRatio),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":684,\"../../lib\":803,\"../../lib/prepare_regl\":816,\"../scatter/link_traces\":1234,\"../scatter/subtypes\":1243,\"./edit_style\":1275,\"gl-text\":355,\"regl-error2d\":536,\"regl-line2d\":537,\"regl-scatter2d\":538}],1281:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(u[f].length){var h=n.repeat([],r.count);h[f]=u[f],o.draw(h)}else c[f].length||o.draw(f);s[f]&&r.textOptions[f]&&s[f].render()}l&&l.draw(c),r.dirty=!1},r.destroy=function(){r.fill2d&&r.fill2d.destroy&&r.fill2d.destroy(),r.scatter2d&&r.scatter2d.destroy&&r.scatter2d.destroy(),r.error2d&&r.error2d.destroy&&r.error2d.destroy(),r.line2d&&r.line2d.destroy&&r.line2d.destroy(),r.select2d&&r.select2d.destroy&&r.select2d.destroy(),r.glText&&r.glText.forEach((function(t){t.destroy&&t.destroy()})),r.lineOptions=null,r.fillOptions=null,r.markerOptions=null,r.markerSelectedOptions=null,r.markerUnselectedOptions=null,r.errorXOptions=null,r.errorYOptions=null,r.textOptions=null,r.textSelectedOptions=null,r.textUnselectedOptions=null,r.selectBatch=null,r.unselectBatch=null,e._scene=null}),r.dirty||n.extendFlat(r,i),r}},{\"../../lib\":803}],1282:[function(t,e,r){\"use strict\";var n=t(\"../scatter/subtypes\"),i=t(\"./edit_style\").styleTextSelection;e.exports=function(t,e){var r=t.cd,a=t.xaxis,o=t.yaxis,s=[],l=r[0].trace,c=r[0].t,u=l._length,f=c.x,h=c.y,p=c._scene,d=c.index;if(!p)return s;var g=n.hasText(l),m=n.hasMarkers(l),v=!m&&!g;if(!0!==l.visible||v)return s;var y=[],x=[];if(!1!==e&&!e.degenerate)for(var b=0;b<u;b++)e.contains([c.xpx[b],c.ypx[b]],!1,b,t)?(y.push(b),s.push({pointNumber:b,x:a.c2d(f[b]),y:o.c2d(h[b])})):x.push(b);if(m){var _=p.scatter2d;if(y.length||x.length){if(!p.selectBatch[d].length&&!p.unselectBatch[d].length){var w=new Array(p.count);w[d]=p.markerUnselectedOptions[d],_.update.apply(_,w)}}else{var T=new Array(p.count);T[d]=p.markerOptions[d],_.update.apply(_,T)}}return p.selectBatch[d]=y,p.unselectBatch[d]=x,g&&i(r),s}},{\"../scatter/subtypes\":1243,\"./edit_style\":1275}],1283:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scattergeo/attributes\"),o=t(\"../scatter/attributes\"),s=t(\"../../plots/mapbox/layout_attributes\"),l=t(\"../../plots/attributes\"),c=t(\"../../components/colorscale/attributes\"),u=t(\"../../lib/extend\").extendFlat,f=t(\"../../plot_api/edit_types\").overrideAll,h=a.line,p=a.marker;e.exports=f({lon:a.lon,lat:a.lat,mode:u({},o.mode,{dflt:\"markers\"}),text:u({},o.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:u({},o.hovertext,{}),line:{color:h.color,width:h.width},connectgaps:o.connectgaps,marker:u({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:p.opacity,size:p.size,sizeref:p.sizeref,sizemin:p.sizemin,sizemode:p.sizemode},c(\"marker\")),fill:a.fill,fillcolor:o.fillcolor,textfont:s.layers.symbol.textfont,textposition:s.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:o.selected.marker},unselected:{marker:o.unselected.marker},hoverinfo:u({},l.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},{\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../plot_api/edit_types\":836,\"../../plots/attributes\":850,\"../../plots/mapbox/layout_attributes\":913,\"../../plots/template_attributes\":926,\"../scatter/attributes\":1218,\"../scattergeo/attributes\":1260}],1284:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"../../constants/numerical\").BADNUM,o=t(\"../../lib/geojson_utils\"),s=t(\"../../components/colorscale\"),l=t(\"../../components/drawing\"),c=t(\"../scatter/make_bubble_size_func\"),u=t(\"../scatter/subtypes\"),f=t(\"../../plots/mapbox/convert_text_opts\"),h=t(\"../../components/fx/helpers\").appendArrayPointValue,p=t(\"../../lib/svg_text_utils\").NEWLINES,d=t(\"../../lib/svg_text_utils\").BR_TAG_ALL;function g(){return{geojson:o.makeBlank(),layout:{visibility:\"none\"},paint:{}}}function m(t,e){return i.isArrayOrTypedArray(t)?e?function(e){return n(t[e])?+t[e]:0}:function(e){return t[e]}:t?function(){return t}:v}function v(){return\"\"}function y(t){return t[0]===a}e.exports=function(t,e){var r,a=e[0].trace,x=!0===a.visible&&0!==a._length,b=\"none\"!==a.fill,_=u.hasLines(a),w=u.hasMarkers(a),T=u.hasText(a),k=w&&\"circle\"===a.marker.symbol,A=w&&\"circle\"!==a.marker.symbol,M=g(),S=g(),E=g(),L=g(),C={fill:M,line:S,circle:E,symbol:L};if(!x)return C;if((b||_)&&(r=o.calcTraceToLineCoords(e)),b&&(M.geojson=o.makePolygon(r),M.layout.visibility=\"visible\",i.extendFlat(M.paint,{\"fill-color\":a.fillcolor})),_&&(S.geojson=o.makeLine(r),S.layout.visibility=\"visible\",i.extendFlat(S.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),k){var P=function(t){var e,r,a,o,u=t[0].trace,f=u.marker,h=u.selectedpoints,p=i.isArrayOrTypedArray(f.color),d=i.isArrayOrTypedArray(f.size),g=i.isArrayOrTypedArray(f.opacity);function m(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(f):i.identity);d&&(a=c(u));g&&(o=function(t){return m(n(t)?+i.constrain(t,0,1):0)});var v,x=[];for(e=0;e<t.length;e++){var b=t[e],_=b.lonlat;if(!y(_)){var w={};r&&(w.mcc=b.mcc=r(b.mc)),a&&(w.mrc=b.mrc=a(b.ms)),o&&(w.mo=o(b.mo)),h&&(w.selected=b.selected||0),x.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_},properties:w})}}if(h)for(v=l.makeSelectedPointStyleFns(u),e=0;e<x.length;e++){var T=x[e].properties;v.selectedOpacityFn&&(T.mo=m(v.selectedOpacityFn(T))),v.selectedColorFn&&(T.mcc=v.selectedColorFn(T)),v.selectedSizeFn&&(T.mrc=v.selectedSizeFn(T))}return{geojson:{type:\"FeatureCollection\",features:x},mcc:p||v&&v.selectedColorFn?{type:\"identity\",property:\"mcc\"}:f.color,mrc:d||v&&v.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(k=f.size,k/2),mo:g||v&&v.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:m(f.opacity)};var k}(e);E.geojson=P.geojson,E.layout.visibility=\"visible\",i.extendFlat(E.paint,{\"circle-color\":P.mcc,\"circle-radius\":P.mrc,\"circle-opacity\":P.mo})}if((A||T)&&(L.geojson=function(t,e){for(var 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/line_shape_defaults\"),l=t(\"../scatter/text_defaults\"),c=t(\"../scatter/fillcolor_defaults\"),u=t(\"../scatter/constants\").PTS_LINESONLY,f=t(\"./attributes\");function h(t,e,r,n){var i,a=n(\"r\"),o=n(\"theta\");if(a)o?i=Math.min(a.length,o.length):(i=a.length,n(\"theta0\"),n(\"dtheta\"));else{if(!o)return 0;i=e.theta.length,n(\"r0\"),n(\"dr\")}return e._length=i,i}e.exports={handleRThetaDefaults:h,supplyDefaults:function(t,e,r,p){function d(r,i){return n.coerce(t,e,f,r,i)}var g=h(t,e,p,d);if(g){d(\"thetaunit\"),d(\"mode\",g<u?\"lines+markers\":\"lines\"),d(\"text\"),d(\"hovertext\"),\"fills\"!==e.hoveron&&d(\"hovertemplate\"),i.hasLines(e)&&(o(t,e,r,p,d),s(t,e,d),d(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,p,d,{gradient:!0}),i.hasText(e)&&(d(\"texttemplate\"),l(t,e,p,d));var 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e,r,i,a,s,l,c,u,f,h,p,d,g=t._x,m=t._y,v=t._z,y=t._len,x=-1/0,b=1/0,_=-1/0,w=1/0,T=-1/0,k=1/0,A=\"\";for(y&&(c=g[0],f=m[0],p=v[0]),y>1&&(u=g[y-1],h=m[y-1],d=v[y-1]),e=0;e<y;e++)x=Math.max(x,g[e]),b=Math.min(b,g[e]),_=Math.max(_,m[e]),w=Math.min(w,m[e]),T=Math.max(T,v[e]),k=Math.min(k,v[e]),a||g[e]===c||(a=!0,A+=\"x\"),s||m[e]===f||(s=!0,A+=\"y\"),l||v[e]===p||(l=!0,A+=\"z\");a||(A+=\"x\"),s||(A+=\"y\"),l||(A+=\"z\");var M=o(t._x),S=o(t._y),E=o(t._z);A=(A=(A=A.replace(\"x\",(c>u?\"-\":\"+\")+\"x\")).replace(\"y\",(f>h?\"-\":\"+\")+\"y\")).replace(\"z\",(p>d?\"-\":\"+\")+\"z\");var L=function(){y=0,M=[],S=[],E=[]};(!y||y<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?g:\"y\"===t?m:v},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},I=function(t){return t[y-1]<t[0]?-1:1},O=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return 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0},{\"../../components/color\":666,\"../../components/colorscale/attributes\":673,\"../../lib/extend\":793,\"../../plot_api/edit_types\":836,\"../../plots/attributes\":850,\"../../plots/cartesian/axis_format_attributes\":857,\"../../plots/template_attributes\":926}],1343:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":674}],1344:[function(t,e,r){\"use strict\";var n=t(\"gl-surface3d\"),i=t(\"ndarray\"),a=t(\"ndarray-linear-interpolate\").d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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g(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function m(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(g(t,n))}return e}function v(t){for(var e=m(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function y(t,e){if(!(t<1||e<1)){for(var r=m(t),n=m(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++)r(i,[l,c],n),t.set(l,c,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=y(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=v(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,c=1+a+1,u=i(new Float32Array(l*c),[l,c]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(u,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,u,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=c(t),g=l.dataScale,m=t.z[0].length,v=t._ylength,y=l.contourLevels;this.data=t;var x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v])];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)b[e].set(r,n,x[e][r][n]);x=[];var w={colormap:d,levels:[[],[],[]],showContour:[!0,!0,!0],showSurface:!t.hidesurface,contourProject:[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],contourWidth:[1,1,1],contourColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],contourTint:[1,1,1],dynamicColor:[[1,1,1,1],[1,1,1,1],[1,1,1,1]],dynamicWidth:[1,1,1],dynamicTint:[1,1,1],opacityscale:t.opacityscale,opacity:t.opacity},T=f(t);if(w.intensityBounds=[T.min,T.max],t.surfacecolor){var k=i(new Float32Array(m*v),[m,v]);for(r=0;r<m;r++)for(n=0;n<v;n++)k.set(r,n,t.surfacecolor[n][r]);b.push(k)}else w.intensityBounds[0]*=g[2],w.intensityBounds[1]*=g[2];(_<b[0].shape[0]||_<b[0].shape[1])&&(this.refineData=!1),!0===this.refineData&&(this.dataScaleX=this.estimateScale(b[0].shape[0],0),this.dataScaleY=this.estimateScale(b[0].shape[1],1),1===this.dataScaleX&&1===this.dataScaleY||this.refineCoords(b)),t.surfacecolor&&(w.intensity=b.pop());var A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../../components/colorscale/attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../pie/attributes\"),l=t(\"../sunburst/attributes\"),c=t(\"./constants\"),u=t(\"../../lib/extend\").extendFlat;e.exports={labels:l.labels,parents:l.parents,values:l.values,branchvalues:l.branchvalues,count:l.count,level:l.level,maxdepth:l.maxdepth,tiling:{packing:{valType:\"enumerated\",values:[\"squarify\",\"binary\",\"dice\",\"slice\",\"slice-dice\",\"dice-slice\"],dflt:\"squarify\",editType:\"plot\"},squarifyratio:{valType:\"number\",min:1,dflt:1,editType:\"plot\"},flip:{valType:\"flaglist\",flags:[\"x\",\"y\"],dflt:\"\",editType:\"plot\"},pad:{valType:\"number\",min:0,dflt:3,editType:\"plot\"},editType:\"calc\"},marker:u({pad:{t:{valType:\"number\",min:0,editType:\"plot\"},l:{valType:\"number\",min:0,editType:\"plot\"},r:{valType:\"number\",min:0,editType:\"plot\"},b:{valType:\"number\",min:0,editType:\"plot\"},editType:\"calc\"},colors:l.marker.colors,depthfade:{valType:\"enumerated\",values:[!0,!1,\"reversed\"],editType:\"style\"},line:l.marker.line,editType:\"calc\"},a(\"marker\",{colorAttr:\"colors\",anim:!1})),pathbar:{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},side:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},edgeshape:{valType:\"enumerated\",values:[\">\",\"<\",\"|\",\"/\",\"\\\\\"],dflt:\">\",editType:\"plot\"},thickness:{valType:\"number\",min:12,editType:\"plot\"},textfont:u({},s.textfont,{}),editType:\"calc\"},text:s.text,textinfo:l.textinfo,texttemplate:i({editType:\"plot\"},{keys:c.eventDataKeys.concat([\"label\",\"value\"])}),hovertext:s.hovertext,hoverinfo:l.hoverinfo,hovertemplate:n({},{keys:c.eventDataKeys}),textfont:s.textfont,insidetextfont:s.insidetextfont,outsidetextfont:u({},s.outsidetextfont,{}),textposition:{valType:\"enumerated\",values:[\"top 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h=n.select(this),p=i.ensureSingle(h,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));w?p.transition().attrTween(\"d\",(function(t){var e=k(t,!0,M,[g,m]);return function(t){return x(e(t))}})):p.attr(\"d\",x),h.call(f,r,t,e,{styleOne:l,eventDataKeys:c.eventDataKeys,transitionTime:c.CLICK_TRANSITION_TIME,transitionEasing:c.CLICK_TRANSITION_EASING}).call(u.setSliceCursor,t,{hideOnRoot:!1,hideOnLeaves:!1,isTransitioning:t._transitioning}),p.call(l,s,L,{hovered:!1}),s._text=(u.getPtLabel(s)||\"\").split(\"<br>\").join(\" \")||\"\";var d=i.ensureSingle(h,\"g\",\"slicetext\"),T=i.ensureSingle(d,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),E=i.ensureUniformFontSize(t,u.determineTextFont(L,s,S.font,{onPathbar:!0}));T.text(s._text||\" 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g=d.width,m=d.height,v=d.viewX,y=d.viewY,x=d.pathSlice,b=d.toMoveInsideSlice,_=d.strTransform,w=d.hasTransition,T=d.handleSlicesExit,k=d.makeUpdateSliceInterpolator,A=d.makeUpdateTextInterpolator,M=d.prevEntry,S=t._fullLayout,E=e[0].trace,L=-1!==E.textposition.indexOf(\"left\"),C=-1!==E.textposition.indexOf(\"right\"),P=-1!==E.textposition.indexOf(\"bottom\"),I=!P&&!E.marker.pad.t||P&&!E.marker.pad.b,O=s(r,[g,m],{packing:E.tiling.packing,squarifyratio:E.tiling.squarifyratio,flipX:E.tiling.flip.indexOf(\"x\")>-1,flipY:E.tiling.flip.indexOf(\"y\")>-1,pad:{inner:E.tiling.pad,top:E.marker.pad.t,left:E.marker.pad.l,right:E.marker.pad.r,bottom:E.marker.pad.b}}).descendants(),z=1/0,D=-1/0;O.forEach((function(t){var e=t.depth;e>=E._maxDepth?(t.x0=t.x1=(t.x0+t.x1)/2,t.y0=t.y1=(t.y0+t.y1)/2):(z=Math.min(z,e),D=Math.max(D,e))})),p=p.data(O,u.getPtId),E._maxVisibleLayers=isFinite(D)?D-z+1:0,p.enter().append(\"g\").classed(\"slice\",!0),T(p,!1,{},[g,m],x),p.order();var R=null;if(w&&M){var 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   ],
   "source": [
    "import plotly.express as px\n",
    "\n",
    "df3 = pd.read_csv('../DATASETS/vgsales.csv')\n",
    "df3.dropna(inplace=True)\n",
    "\n",
    "fig = px.treemap(df3, \n",
    "                 path=['Platform', 'Genre'], \n",
    "                 values='Global_Sales',\n",
    "                 color='NA_Sales'\n",
    "                )\n",
    "fig.show()"
   ]
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   "source": [
    "## 2.4 - Summary\n",
    "\n",
    "- Our data sets are composed of variables that can be **categorized** in different ways based on the **values** that they can assume\n",
    "- Many methods rely on knowing if the variables are **categorical** (assume a limited set of values) or **numerical** (assume a very large set of values)\n",
    "- The purpose of an **exploraratory analysis** is to draw important conclusions and to posit relationships between variables, as well as detect problems in our data\n",
    "- **Binary** variables are a special type of categorical values that are widely employed in classification studies\n",
    "- We can use **descriptive statistics**  appropriate methods also depend of the type of data being evaluated.\n",
    "- **Correlation and association** are important to analyze the dependency between variables, but they **do not** imply causation\n",
    "- **Visualizing** data can be tricky, because it depends on which type of information we want to convey. The good news is that most methods are already implemented in libraries like ``pandas``, ``seaborn``, and ``plotly``\n",
    "\n",
    "In the next lesson, we will discuss how we can clean and treat our data to make it easier to understand and also to make it more useful for the prediction models that will rely on them."
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercises\n",
    "\n",
    "Implement the solution in Python for the following exercises:\n",
    "- Han, Kamber, Data Mining: Concepts and Techniques, Chapter 2:\n",
    " - Exercises 2.2, 2.4\n",
    " \n",
    "- Aggarwal, Charu C, Data Mining: The Textbook, Section 1.9:\n",
    " - Exercises 2, 3, 4\n",
    " \n",
    "- Skiene, Steven, The Data Science Design Manual, Section 1.9:\n",
    " - Exercises 1.3, 1.4, 1.12\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1> <center> See you all in our next lesson! &#128516; </center> </h1>"
   ]
  }
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