diff --git a/CHANGELOG.md b/CHANGELOG.md
index f5f773fd..b43e8a8e 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -2,7 +2,25 @@ Release History
 ===============
 
 0.4.2 (dev)
-------------------
+-----------
+
+
+
+**|fixed|**     jupyter notebooks are up to date with the UseCase class
+
+**|fixed|**     UseCase class usage is now documented
+
+**|changed|**   num_profile variable was changed to num_days
+
+**|changed|**   User class get assigned automatically to a default UseCase instance if not provided
+
+**|changed|**   Delete ramp.core.initialize and ramp.core.stochastic_process, move calc_peak_time_range inside UseCase method
+
+**|fixed|**     conversion of .py files into .xlsx is fixed
+
+**|fixed|**     using .py files is now possible in the command line as well as from IDE
+
+**|new|**       tests for example jupyter notebook (smoke test to see if the notebooks run through)
 
 **|new|**       continuous integration setup
 
diff --git a/README.rst b/README.rst
index 68b3f024..60f88eae 100644
--- a/README.rst
+++ b/README.rst
@@ -106,16 +106,15 @@ To have a look to the python files, you can download them using the `download_ex
 
    download_example("the specfic folder directory to save the files")
 
--  ``input_file_1.py``: represents the most basic electric appliances,
-   is an example of how to model lightbulbs, radios, TVs, fridges, and
+-  ``input_file_1.py``: represents the most basic electric appliances; it is 
+   an example of how to model lightbulbs, radios, TVs, fridges, and
    other electric appliances. This input file is based on the ones used
-   for `this
-   publication <https://doi.org/10.1016/j.energy.2019.04.097>`__.
+   for `the first RAMP publication <https://doi.org/10.1016/j.energy.2019.04.097>`__.
 
--  ``input_file_2.py``: shows how to model thermal loads, with the
+-  ``input_file_2.py``: shows how to model user-driven thermal loads, with the
    example of a “shower” appliance. The peculiarity of thermal appliances
    is that the nominal power can be provided as external input as a
-   “csv” file (in this case, ``shower_P.csv``). For the example “shower”
+   “.csv” file (in this case, ``shower_P.csv``). For the example “shower”
    appliance, the varying nominal power accounts for the effect of
    groundwater temperature variation throughout the year. This input
    file is based on that used for `this
@@ -138,6 +137,14 @@ To have a look to the python files, you can download them using the `download_ex
    file is used in `this
    publication <https://doi.org/10.1109/PTC.2019.8810571>`__
 
+You can execute python input files within an IDE, in your terminal with python command
+
+.. code-block:: bash
+
+   python <path to .py input file>
+
+or in your terminal with the ``ramp`` command, see `Command line options <cmd_option_>`_ below for more information.
+
 Spreadsheet input files
 -----------------------
 
@@ -149,18 +156,22 @@ need to run the ``ramp`` command with the option ``-i``:
    ramp -i <path to .xlsx input file>
 
 
-.. note:: You can input several files, separated from each others by a single blank space
+.. note:: You can input several files, separated from each others by a single blank space you can also input python files
+
+.. _cmd_option:
+
+Command line options
+--------------------
 
-If you already know how many profile you want to simulate you can indicate it with the ``-n`` option:
+In the command line you can also run .py input files
+If you already know how many daily profiles you want to simulate you can indicate it with the ``-n`` option:
 
 .. code-block:: bash
 
-   ramp -i <path to .xlsx input file> -n 10
+   ramp -i <path to .xlsx or .py input file> -n 10
 
-will simulate 10 profiles. Note that you can use this option without
-providing a ``.xlsx`` input file with the ``-i`` option, this will then
-be equivalent to running ``python ramp_run.py`` from the ``ramp`` folder
-without being prompted for the number of profile within the console.
+will simulate 10 daily profiles. Note that if you do not provide this option you will being prompted for the
+number of daily profiles within the console.
 
 
 If you want to save ramp results to a custom file, you can provide it with the option `-o`
@@ -193,11 +204,11 @@ Building a model with a python script
 .. code-block:: python
 
    # importing functions
-   from ramp import User,calc_peak_time_range,yearly_pattern
+   from ramp import UseCase, User
 
    # Create a user category
-   low_income_households = User(
-    user_name = "low_income_household", # an optional feature for the User class
+   household_1 = User(
+    user_name = "Household type 1", # an optional feature for the User class
     num_users = 10, # Specifying the number of specific user category in the community
    )
 
@@ -206,14 +217,15 @@ You can add appliances to a user category by:
 .. code-block:: python
 
    # adding some appliances for the household
-   radio = low_income_household.add_appliance(
+   radio = household_1.add_appliance(
     name = "Small Radio", # optional feature for the appliance class
-    number = 1, # how many radio each low income household holds
-    power = 10, # RAMP does not take care of unit of measures , watt
+    number = 1, # how many radio each household type 1 has
+    power = 10, # RAMP does not take care of units of measure (e.g., Watts), you must be consistent
     func_time = 120, # Total functioning time of appliance in minutes
-    num_windows = 2, # in how many time-windows the appliance is used
+    num_windows = 2, # how many time-windows the appliance is used in
    )
 
+
 The use time frames can be specified using the 'window' method for each appliance of the user category:
 
 .. code-block:: python
@@ -224,16 +236,44 @@ The use time frames can be specified using the 'window' method for each applianc
     window_2 = [1320,1380], # from 10 PM to 11 PM
    )
 
-Now you can generate your **stochastic profiles**:
+You can also add another, different user to the simulation. In this case,
+we use a more compact formulation:
 
 .. code-block:: python
 
-   # generating load_curves
-   load = low_income_household.generate_aggregated_load_profiles(
-      prof_i = 1, # the ith day profile
-      peak_time_range = calc_peak_time_range(), # the peak time range
-      Year_behaviour = yearly_pattern(), # defining the yearly pattern (like weekdays/weekends)
-   )
+   # Create a second user category
+   household_2 = User(
+    user_name = "Household type 2", # an optional feature for the User class
+    num_users = 13, # Specifying the number of specific user category in the community
+    )
+
+   # adding some appliances for the new household type in compact form, with windows specified directly and random variability
+   light_bulbs = household_2.add_appliance(
+    name = "Light bulbs", # optional feature for the appliance class
+    number = 5, # how many light bulbs each household type 2 has
+    power = 7, # RAMP does not take care of units of measure (e.g., Watts), you must be consistent
+    func_time = 120, # total functioning time of appliance in minutes
+    time_fraction_random_variability=0.2, # 20% random variability associated to the total functioning time
+    num_windows = 2, # how many time-windows the appliance is used in
+    window_1 = [390,480], # from 6.30 AM to 8 AM
+    window_2 = [1020,1440], # from 5 PM to 12 PM
+    random_var_w=0.35 # 35% randomness assigned to the size of the functioning windows
+    )
+
+At this point, we can group our different users into a "use case" and run the simulation, 
+for instance for a whole year.
+
+.. code-block:: python
+
+   use_case = UseCase(users=[household_1,household_2], date_start="2020-01-01", date_end="2020-12-31")
+   whole_year_profile = use_case.generate_daily_load_profiles()
+
+Here is your first load for a community including two types of housholds,
+for a total of 23 individual users. Of course, more variations and many more 
+features are possible! For instance, you can simulate loads even for 
+an individual appliance or user. In addition, you can use in-built plotting 
+functionalities to explore your results. Check out the documentation 
+for all the possibilities.
 
 Contributing
 ============
diff --git a/docs/notebooks/Plot class.ipynb b/docs/notebooks/Plot class.ipynb
deleted file mode 100644
index 25cc4e5b..00000000
--- a/docs/notebooks/Plot class.ipynb	
+++ /dev/null
@@ -1,183474 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "5a0da146",
-   "metadata": {},
-   "source": [
-    "# Ramp Plotting Class\n",
-    "\n",
-    "Ramp Plotting class offers some functionalities for visualizing ramp outputs. A Plot class can be initialized by reading a pandas.DataFrame or reading results from a csv or excel file."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b07bde96",
-   "metadata": {},
-   "source": [
-    "## Initializing a Plot class\n",
-    "\n",
-    "### running a ramp using a python🐍 IDE "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "eb23109f",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/anaconda3/lib/python3.8/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.4)\n",
-      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of \"\n"
-     ]
-    }
-   ],
-   "source": [
-    "from ramp import User,calc_peak_time_range,yearly_pattern"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "b3d4fb01",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# creating a user and adding some appliances\n",
-    "\n",
-    "Petrol_Station = User(\n",
-    "    user_name = \"Petrol Station\",\n",
-    "    num_users = 1,\n",
-    ")\n",
-    "\n",
-    "#add appliances\n",
-    "outside_bulb = Petrol_Station.add_appliance(\n",
-    "    name = \"Security Light\",\n",
-    "    number = 2,\n",
-    "    power = 18, #watt\n",
-    "    num_windows = 2, # security light has two functioning window: during night and during day\n",
-    "    fixed_cycle = 0, # bulb has no duty cycle and always work with a single cycle\n",
-    "    window_1 = [0,7*60], # from mid-night to 7 AM with opening\n",
-    "    window_2 = [21*60,23*60+59], # from 21 to 23:59\n",
-    "    fixed = \"yes\",\n",
-    "    flat = \"yes\",\n",
-    "\n",
-    ")\n",
-    "\n",
-    "\n",
-    "inside_bulb = Petrol_Station.add_appliance(\n",
-    "    name = \"Indoor Light\",\n",
-    "    number = 1,\n",
-    "    power = 75, #watt\n",
-    "    num_windows = 1, # security light has two functioning window: during night and during day\n",
-    "    fixed_cycle = 0, # bulb has no duty cycle and always work with a single cycle\n",
-    "    window_1 = [7*60,21*60], # from mid-night to 7 AM,9PM with opening,\n",
-    "    func_cycle  = 1, # when the appliance is switched on, it remains on at least for a min,\n",
-    "    occasional_use = 1, # it is always present in the energy mix\n",
-    "    func_time = 30, #usually is used around 60 min during the whole day\n",
-    "    time_fraction_random_variability = 0.9,\n",
-    "    random_var_w = 0.15,\n",
-    ")\n",
-    "\n",
-    "petrol_pump = Petrol_Station.add_appliance(\n",
-    "    name = \"Petrol Pump\",\n",
-    "    number = 1,\n",
-    "    power= 200,\n",
-    "    num_windows = 1,\n",
-    "    fixed_cycle = 0,\n",
-    "    window_1 = [7*60,21*60],\n",
-    "    func_cycle  = 1,\n",
-    "    occasional_use = 1,\n",
-    "    func_time = 40,\n",
-    "    time_fraction_random_variability = 0.15,\n",
-    "    random_var_w = 0.15,\n",
-    ")\n",
-    "\n",
-    "# phone chargers\n",
-    "phone_charger = Petrol_Station.add_appliance(\n",
-    "    name = \"Phone Charger\",\n",
-    "    number = 1,\n",
-    "    power= 5,\n",
-    "    num_windows = 1,\n",
-    "    fixed_cycle = 0,\n",
-    "    window_1 = [7*60,21*60],\n",
-    "    func_cycle  = 30,\n",
-    "    occasional_use = 0.7,\n",
-    "    func_time = 60,\n",
-    "    time_fraction_random_variability = 0.15,\n",
-    "    random_var_w = 0.15,\n",
-    ")\n",
-    "\n",
-    "# Radio\n",
-    "radio = Petrol_Station.add_appliance(\n",
-    "    name = \"Radio\",\n",
-    "    number = 1,\n",
-    "    power= 5,\n",
-    "    num_windows = 1,\n",
-    "    fixed_cycle = 0,\n",
-    "    window_1 = [7*60,21*60],\n",
-    "    func_cycle  = 20,\n",
-    "    occasional_use = 0.95,\n",
-    "    func_time = 4*60,\n",
-    "    time_fraction_random_variability = 0.15,\n",
-    "    random_var_w = 0.15,\n",
-    ")\n",
-    "#%%\n",
-    "\n",
-    "peak_time_range = calc_peak_time_range(\n",
-    "    user_list = [Petrol_Station]\n",
-    ")\n",
-    "year_behaviour = yearly_pattern()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "9071d728",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# running the simulation for multiple cases to generate mutlipe simulations for a year = 2022\n",
-    "\n",
-    "import pandas as pd\n",
-    "\n",
-    "number_of_simulations = 10\n",
-    "number_of_days = 365\n",
-    "\n",
-    "results = {}\n",
-    "\n",
-    "idx = pd.date_range(start=f\"2022-01-01\",periods=number_of_days*60*24,freq=\"1min\",name = \"date\")\n",
-    "\n",
-    "for profile in range(1,number_of_simulations+1):\n",
-    "    profiles = []\n",
-    "    for prof_i in range(number_of_days): # 365 days of the year\n",
-    "\n",
-    "        result = Petrol_Station.generate_aggregated_load_profile(\n",
-    "            prof_i = prof_i,\n",
-    "            day_type = 1,\n",
-    "            peak_time_range = peak_time_range\n",
-    "        )\n",
-    "\n",
-    "        profiles.extend(result.tolist())\n",
-    "\n",
-    "    results[f\"case {profile}\"] = pd.Series(index=idx,data=profiles)\n",
-    "\n",
-    "dataframe = pd.concat(results,axis=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "8844ac40",
-   "metadata": {},
-   "outputs": [
-    {
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-      ],
-      "text/plain": [
-       "                     case 1  case 2  case 3  case 4  case 5  case 6  case 7  \\\n",
-       "date                                                                          \n",
-       "2022-01-01 00:00:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0   \n",
-       "2022-01-01 00:01:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0   \n",
-       "2022-01-01 00:02:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0   \n",
-       "2022-01-01 00:03:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0   \n",
-       "2022-01-01 00:04:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0   \n",
-       "...                     ...     ...     ...     ...     ...     ...     ...   \n",
-       "2022-12-31 23:55:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0   \n",
-       "2022-12-31 23:56:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0   \n",
-       "2022-12-31 23:57:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0   \n",
-       "2022-12-31 23:58:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0   \n",
-       "2022-12-31 23:59:00     0.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
-       "\n",
-       "                     case 8  case 9  case 10  \n",
-       "date                                          \n",
-       "2022-01-01 00:00:00    36.0    36.0     36.0  \n",
-       "2022-01-01 00:01:00    36.0    36.0     36.0  \n",
-       "2022-01-01 00:02:00    36.0    36.0     36.0  \n",
-       "2022-01-01 00:03:00    36.0    36.0     36.0  \n",
-       "2022-01-01 00:04:00    36.0    36.0     36.0  \n",
-       "...                     ...     ...      ...  \n",
-       "2022-12-31 23:55:00    36.0    36.0     36.0  \n",
-       "2022-12-31 23:56:00    36.0    36.0     36.0  \n",
-       "2022-12-31 23:57:00    36.0    36.0     36.0  \n",
-       "2022-12-31 23:58:00    36.0    36.0     36.0  \n",
-       "2022-12-31 23:59:00     0.0     0.0      0.0  \n",
-       "\n",
-       "[525600 rows x 10 columns]"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "dataframe"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "f40014b0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Creating a Plot class\n",
-    "from ramp import Plot\n",
-    "\n",
-    "plot = Plot(dataframe)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "003bedb5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "                     case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10\n",
-       "date                                                                                                \n",
-       "2022-01-01 00:00:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:01:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:02:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:03:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:04:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:05:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       " ......"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "plot"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "aeff5e48",
-   "metadata": {},
-   "source": [
-    "If the dateframe object did not have a pd.DatatimeIndex, the plot class could not be initialized. in this case, you can use the 'index' argument to pass a datetime index!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3c345425",
-   "metadata": {},
-   "source": [
-    "### reading the ramp output from excel or csv\n",
-    "\n",
-    "If you run your ramp simulations from terminal, and saved your outputs into a file, you can read your saved results to perform your analysis. The structure of the saved results should be exactly as shown in previous line where the index is a date-time index and on the columns you have different cases, or even different users of your simulation case. To read the file:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "c651b69f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plot = Plot.from_file(file=\"path to csv or xlsx file\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "bc7c7987",
-   "metadata": {},
-   "source": [
-    "If the data in file did not have a date-time index, the plot class could not be initialized! in this case, you can use the 'index' argument to pass a datetime index!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ae868c41",
-   "metadata": {},
-   "source": [
-    "## Filtering data using loc & iloc functions\n",
-    "if you need to take only a part of your data, you can use the loc function. For example to take only the second day of your data:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "id": "0e8797dd",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "second_day = pd.date_range(\n",
-    "    start=\"2022-01-01 00:00:00\",\n",
-    "    freq = \"1min\",\n",
-    "    periods = 24*60 # a full day\n",
-    ")\n",
-    "\n",
-    "filtered_data = plot.loc(index=second_day)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cc5f3375",
-   "metadata": {},
-   "source": [
-    "if you need to also filter on the columns, you can use the columns argument or use the **get item** method:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "9f7d1159",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "                     case 1  case 2\n",
-       "2022-01-01 00:00:00    36.0    36.0\n",
-       "2022-01-01 00:01:00    36.0    36.0\n",
-       "2022-01-01 00:02:00    36.0    36.0\n",
-       "2022-01-01 00:03:00    36.0    36.0\n",
-       "2022-01-01 00:04:00    36.0    36.0\n",
-       "2022-01-01 00:05:00    36.0    36.0\n",
-       "2022-01-01 00:06:00    36.0    36.0\n",
-       "2022-01-01 00:07:00    36.0    36.0\n",
-       "2022-01-01 00:08:00    36.0    36.0\n",
-       "2022-01-01 00:09:00    36.0    36.0\n",
-       " ......"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# using the function\n",
-    "filtered_data = plot.loc(index=second_day,columns=[\"case 1\",\"case 2\"])\n",
-    "filtered_data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "b4e4b23a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "                     case 1\n",
-       "date                       \n",
-       "2022-01-01 00:00:00    36.0\n",
-       "2022-01-01 00:01:00    36.0\n",
-       "2022-01-01 00:02:00    36.0\n",
-       "2022-01-01 00:03:00    36.0\n",
-       "2022-01-01 00:04:00    36.0\n",
-       "2022-01-01 00:05:00    36.0\n",
-       "2022-01-01 00:06:00    36.0\n",
-       "2022-01-01 00:07:00    36.0\n",
-       "2022-01-01 00:08:00    36.0\n",
-       "2022-01-01 00:09:00    36.0\n",
-       " ......"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# using the get item method\n",
-    "filtered_column = plot[\"case 1\"]\n",
-    "filtered_column"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "877d8bdc",
-   "metadata": {},
-   "source": [
-    "To filter the data using the position of the data, you can use the iloc function. for example for filtering your data from the 6th row to 10th row:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "13191cdd",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "                     case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10\n",
-       "date                                                                                                \n",
-       "2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       "2022-01-01 00:10:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0\n",
-       " ......"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "filtered_rows = plot.iloc(index=slice(6,11))\n",
-    "filtered_rows"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3a8592c8",
-   "metadata": {},
-   "source": [
-    "## Adding new column to the data\n",
-    "In case, you want to add new columns to your data, you can use the **add_column** function:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "id": "e205e410",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "                     case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10  new column\n",
-       "date                                                                                                            \n",
-       "2022-01-01 00:00:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       "2022-01-01 00:01:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       "2022-01-01 00:02:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       "2022-01-01 00:03:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       "2022-01-01 00:04:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       "2022-01-01 00:05:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       "2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       "2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       "2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       "2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0\n",
-       " ......"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# lets take a copy of the current plot object\n",
-    "\n",
-    "copy_plot = plot.copy()\n",
-    "\n",
-    "# lets take a column of the existing data\n",
-    "new_data = plot[\"case 1\"]\n",
-    "\n",
-    "# lets change the name of the column assuming that this is a new data\n",
-    "new_data.columns = [\"new column\"]\n",
-    "\n",
-    "copy_plot.add_column(new_data)\n",
-    "\n",
-    "copy_plot"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0cec30e0",
-   "metadata": {},
-   "source": [
-    "## Resampling data\n",
-    "\n",
-    "if you want to represent your data in a different time resolution, you need to resample the data. In this case the original data (plot object) has a minute time resolution:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "id": "4d5b93f3",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Minute>"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "plot.freq"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1066e40a",
-   "metadata": {},
-   "source": [
-    "Let's assume you want to resample your data to an hourly resolution. To do so, you can use **resample** function:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "id": "1f41870c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "hourly_data = plot.resample(\n",
-    "    freq = \"1h\", # resampling freqency, similar pd.DataFrame rule\n",
-    "    rule = \"sum\", # different options for resampling data like sum, mean, nearest\n",
-    "    conversion = 60, # resampling data from minute resolution to hour resolution has an assumption of dividing the minute date by 60 minute to sum to hourly data\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "02eac015",
-   "metadata": {},
-   "source": [
-    "Let's check the resolution now:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "id": "e53de489",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Hour>"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "hourly_data.freq"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0de4752e",
-   "metadata": {},
-   "source": [
-    "you can further apply all the Plot functions to the output of this resampling. For example, if you want to calculate the weekly consumption average based on the hourly data, you can use:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "de50f6a4",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "weekly = hourly_data.resample(\n",
-    "    freq = \"1w\",\n",
-    "    rule = \"mean\"\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "id": "ee3a07e0",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Week: weekday=6>"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "weekly.freq"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e7bcdfba",
-   "metadata": {},
-   "source": [
-    "## Mean, Sum, and Peak:\n",
-    "\n",
-    "you can calculate the mean and the sum of all the columns of your ramp simulations stored in Plot object using the **mean** and **sum** functions:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "id": "5064b978",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "                          Mean\n",
-       "date                          \n",
-       "2022-01-01 00:00:00  36.000000\n",
-       "2022-01-01 01:00:00  36.000000\n",
-       "2022-01-01 02:00:00  36.000000\n",
-       "2022-01-01 03:00:00  36.000000\n",
-       "2022-01-01 04:00:00  36.000000\n",
-       "2022-01-01 05:00:00  36.333950\n",
-       "2022-01-01 06:00:00  36.826410\n",
-       "2022-01-01 07:00:00   4.776980\n",
-       "2022-01-01 08:00:00  23.261020\n",
-       "2022-01-01 09:00:00  17.369903\n",
-       " ......"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "mean = hourly_data.mean()\n",
-    "mean"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "9628df92",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "                            Sum\n",
-       "date                           \n",
-       "2022-01-01 00:00:00  360.000000\n",
-       "2022-01-01 01:00:00  360.000000\n",
-       "2022-01-01 02:00:00  360.000000\n",
-       "2022-01-01 03:00:00  360.000000\n",
-       "2022-01-01 04:00:00  360.000000\n",
-       "2022-01-01 05:00:00  363.339500\n",
-       "2022-01-01 06:00:00  368.264100\n",
-       "2022-01-01 07:00:00   47.769800\n",
-       "2022-01-01 08:00:00  232.610200\n",
-       "2022-01-01 09:00:00  173.699033\n",
-       " ......"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "summed = hourly_data.sum()\n",
-    "summed"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "658eb6f4",
-   "metadata": {},
-   "source": [
-    "you can also find the the peak values and correspondoing hours to the peak value for each column of your data using the peak property:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "id": "c0297a1f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "peak = hourly_data.peak"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "id": "00e89c9b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'case 1': date\n",
-       " 2022-03-16 21:00:00    153.917183\n",
-       " Freq: H, Name: case 1, dtype: float64,\n",
-       " 'case 2': date\n",
-       " 2022-12-22 06:00:00    156.001167\n",
-       " Freq: H, Name: case 2, dtype: float64,\n",
-       " 'case 3': date\n",
-       " 2022-05-25 05:00:00    166.001067\n",
-       " Freq: H, Name: case 3, dtype: float64,\n",
-       " 'case 4': date\n",
-       " 2022-02-11 21:00:00    165.0009\n",
-       " Freq: H, Name: case 4, dtype: float64,\n",
-       " 'case 5': date\n",
-       " 2022-10-16 06:00:00    165.251917\n",
-       " Freq: H, Name: case 5, dtype: float64,\n",
-       " 'case 6': date\n",
-       " 2022-11-25 08:00:00    158.334717\n",
-       " Freq: H, Name: case 6, dtype: float64,\n",
-       " 'case 7': date\n",
-       " 2022-08-24 06:00:00    162.668033\n",
-       " Freq: H, Name: case 7, dtype: float64,\n",
-       " 'case 8': date\n",
-       " 2022-06-04 06:00:00    185.585083\n",
-       " Freq: H, Name: case 8, dtype: float64,\n",
-       " 'case 9': date\n",
-       " 2022-03-25 10:00:00    177.918433\n",
-       " Freq: H, Name: case 9, dtype: float64,\n",
-       " 'case 10': date\n",
-       " 2022-06-16 19:00:00    182.918433\n",
-       " Freq: H, Name: case 10, dtype: float64}"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "peak"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "e632eea1",
-   "metadata": {},
-   "source": [
-    "## Visualization\n",
-    "\n",
-    "ramp Plot object offers some **easy to use** plotting function for some routine visualizatoins. each plotting function allows you to choose the plotting engine that can be matplotlib or plotly. the output of the plot functions will be a matplotlib or plotly object, so you can customize your functions after plotting, with your specific taste and plotting style! you can also use the ** kwargs to pass plotly or matplotlib specific styling features."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "9795ac08",
-   "metadata": {},
-   "source": [
-    "### line plot\n",
-    "with the line plot function, you can choose one or multiple columns of your data to plot a simple line plot:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "id": "02e17fdf",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: xlabel='date'>"
-      ]
-     },
-     "execution_count": 22,
-     "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": [
-    "# plotting one column using matplotlib engine (default engine)\n",
-    "hourly_data.line(columns = \"case 1\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "9bef8400",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "        require.undef(\"plotly\");\n",
-       "        define('plotly', function(require, exports, module) {\n",
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-       "* plotly.js v2.6.3\n",
-       "* Copyright 2012-2021, Plotly, Inc.\n",
-       "* All rights reserved.\n",
-       "* Licensed under the MIT license\n",
-       "*/\n",
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r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},gt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},mt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+g(e))/r)]};var bt=3+2*w;function _t(t,e){var r=g(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=g(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var 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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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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\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),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 H=D.kerning[N+B];H&&(V+=.001*H)}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],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}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.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\":81,\"color-normalize\":89,\"css-font\":99,\"detect-kerning\":125,\"es6-weak-map\":183,\"flatten-vertex-data\":191,\"font-atlas\":192,\"font-measure\":193,\"gl-util/context\":226,\"is-plain-obj\":236,\"object-assign\":247,\"parse-rect\":249,\"parse-unit\":251,\"pick-by-alias\":253,regl:283,\"to-px\":314,\"typedarray-pool\":327}],226:[function(t,e,r){(function(r){(function(){\"use strict\";var n=t(\"pick-by-alias\");function i(t){if(t.container)if(t.container==document.body)document.body.style.width||(t.canvas.width=t.width||t.pixelRatio*r.innerWidth),document.body.style.height||(t.canvas.height=t.height||t.pixelRatio*r.innerHeight);else{var 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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 He(i,r,n)},He.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)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.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:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(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:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(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:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(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?Ht: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||Ht));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,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?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,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))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 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.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);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);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.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);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);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=Ha(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=Ha(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 Ha(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),Hs=Math.pow(2,14)/.5,qs=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}))};qs.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)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.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)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.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},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.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)},qs.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}}}}},qs.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>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.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},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{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 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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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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 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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],H=V&&V[L];if(!H)continue;P=H.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 q=h-c;d=Math.max(q,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),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,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(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$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 Hc=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()})};Hc.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))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=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 Hc(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]}qc.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:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.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)},qc.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)}},qc.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(qn(e.error)):n(null,qn(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?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(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)}},qc.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=qe,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 H(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 q(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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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m<f.length;m++){var v=[];ut(f[m],v,r,n,i,!0),v.length&&g.push(v)}if(g.length){if(s.lineMetrics&&\"LineString\"===h){for(m=0;m<g.length;m++)l.push(Q(u.id,h,g[m],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===g.length?(h=\"LineString\",g=g[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===g.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,g,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(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(H(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?q(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?q(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 q(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 Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(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)||Ht(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]}):qt(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 H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),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 H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,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 q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),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\"]),He=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}(),qe=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(He,!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);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.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:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(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 qr,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)}(!qr||qr.length<2*h)&&(qr=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(qr,!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 H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,q),Y=$t(M.posMatrix,v,m,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={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 Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.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)))},Hn.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)}}},Hn.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 qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.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 qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({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 qn({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 qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(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\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;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}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.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},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(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:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,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}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\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",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var 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 y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(m=n[u])[0],h=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var 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}},{}],261:[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 n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace(this,this.constructor),this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var 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:285,\"stream-parser\":301}],263:[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 signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},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}}},{}],264:[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 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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\":262}],268:[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 l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:\"ico\",mime:\"image/x-icon\",wUnits:\"px\",hUnits:\"px\"}}}},{\"../common\":262}],269:[function(t,e,r){\"use strict\";var n=t(\"../common\").readUInt16BE,i=t(\"../common\").str2arr,a=t(\"../common\").sliceEq,o=t(\"../exif_utils\"),s=i(\"Exif\\0\\0\");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1])for(var 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e=\"\",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[\"\"])[0];if(a.test(c)){var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var 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\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert: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 float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert: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 float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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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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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=m(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return 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 points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),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 i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var 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 a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var 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 _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}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 showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var 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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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[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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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[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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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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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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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 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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\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[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\":503,\"../color\":366}],353:[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\":531,\"fast-isnumeric\":190}],354:[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\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"./attributes\":349,\"./common_defaults\":352}],355:[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 H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);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,H).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),H=Math.round(D+2*N);function q(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,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.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),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,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,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/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,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).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(H));if(m(Y,q,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 J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],g=a[r.startarrowhead||0],m=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*m+r.standoff,_=g.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"./draw\"),i=t(\"./click\");e.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),includeBasePlot:t(\"../../plots/cartesian/include_components\")(\"annotations\"),calcAutorange:t(\"./calc_autorange\"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t(\"./convert_coords\")}},{\"../../plots/cartesian/include_components\":567,\"./attributes\":349,\"./calc_autorange\":350,\"./click\":351,\"./convert_coords\":353,\"./defaults\":354,\"./draw\":355}],358:[function(t,e,r){\"use strict\";var 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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||{};if(0===t.length)return[[]];var 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=V(r,g),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 H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.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=V(r,l.node());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 t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,g),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(m,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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d=t.bgcolor||o,g=p.combine(p.opacity(d)?d:p.defaultLine,f),m=p.combine(p.opacity(o)?o:p.defaultLine,f),v=t.borderColor||p.contrast(g),y=O(t,B,a,i,I,e),x=y[0],b=y[1],w=e.select(\"text.nums\").call(h.font,t.fontFamily||T,t.fontSize||k,t.fontColor||v).text(x).attr(\"data-notex\",1).call(u.positionText,0,0).call(u.convertToTspans,r),A=e.select(\"text.name\"),E=0,L=0;if(b&&b!==x){A.call(h.font,t.fontFamily||T,t.fontSize||k,m).text(b).attr(\"data-notex\",1).call(u.positionText,0,0).call(u.convertToTspans,r);var C=V(r,A.node());E=C.width+2*S,L=C.height+2*S}else A.remove(),e.select(\"rect\").remove();e.select(\"path\").style({fill:g,stroke:v});var P=t.xa._offset+(t.x0+t.x1)/2,z=t.ya._offset+(t.y0+t.y1)/2,N=Math.abs(t.x1-t.x0),j=Math.abs(t.y1-t.y0),U=V(r,w.node()),H=U.width/i._invScaleX,q=U.height/i._invScaleY;t.ty0=(D-U.top)/i._invScaleY,t.bx=H+2*S,t.by=Math.max(q+2*S,L),t.anchor=\"start\",t.txwidth=H,t.tx2width=E,t.offset=0;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(\"../../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\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/animation_attributes\":548,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"./constants\":460}],460:[function(t,e,r){\"use 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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 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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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l=a.selectAll(\"g.\"+f.groupClassName).data(r,v);l.enter().append(\"g\").classed(f.groupClassName,!0),l.exit().each(s).remove();for(var c=0;c<r.length;c++){var u=r[c];y(t,u)}l.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index);e.call(x,r).call(P,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},{\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/plots\":619,\"../color\":366,\"../drawing\":388,\"./constants\":460,\"@plotly/d3\":58}],463:[function(t,e,r){\"use strict\";var n=t(\"./constants\");e.exports={moduleType:\"component\",name:n.name,layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),draw:t(\"./draw\")}},{\"./attributes\":459,\"./constants\":460,\"./defaults\":461,\"./draw\":462}],464:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"fast-isnumeric\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"../../constants/interactions\"),p=t(\"../../constants/alignment\").OPPOSITE_SIDE,d=/ [XY][0-9]* /;e.exports={draw:function(t,e,r){var g,m=r.propContainer,v=r.propName,y=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=m.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,I=L.color;\"title.text\"===v?g=\"titleText\":-1!==v.indexOf(\"axis\")?g=\"axisTitleText\":v.indexOf(!0)&&(g=\"colorbarTitleText\");var O=t._context.edits[g];\"\"===E?A=0:E.replace(d,\" % \")===y.replace(d,\" % \")&&(A=.2,M=!0,O||(E=\"\")),r._meta?E=s.templateString(E,r._meta):k._meta&&(E=s.templateString(E,k._meta));var z=E||O;T||(T=s.ensureSingle(k._infolayer,\"g\",\"g-\"+e));var D=T.selectAll(\"text\").data(z?[0]:[]);if(D.enter().append(\"text\"),D.text(E).attr(\"class\",e),D.exit().remove(),!z)return T;function R(t){s.syncOrAsync([F,B],t)}function F(e){var r;return 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n=t(\"../../plots/font_attributes\"),i=t(\"../color/attributes\"),a=t(\"../../lib/extend\").extendFlat,o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../plots/pad_attributes\"),l=t(\"../../plot_api/plot_template\").templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});e.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},{\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plot_api/plot_template\":543,\"../../plots/font_attributes\":585,\"../../plots/pad_attributes\":618,\"../color/attributes\":365}],466:[function(t,e,r){\"use strict\";e.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"\\u25c4\",right:\"\\u25ba\",up:\"\\u25b2\",down:\"\\u25bc\"}}},{}],467:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/array_container_defaults\"),a=t(\"./attributes\"),o=t(\"./constants\").name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}e.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},{\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"./attributes\":465,\"./constants\":466}],468:[function(t,e,r){\"use strict\";var 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l=function(t){return-1==+t.attr(f.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?f.dropdownButtonClassName:f.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),h=u.enter().append(\"g\").classed(c,!0),p=u.exit();\"dropdown\"===o.type?(h.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,m=0,v=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?m=v.headerHeight+f.gapButtonHeader:d=v.headerWidth+f.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(m=-f.gapButtonHeader+f.gapButton-v.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-f.gapButtonHeader+f.gapButton-v.openWidth);var b={x:v.lx+d+o.pad.l,y:v.ly+m+o.pad.t,yPad:f.gapButton,xPad:f.gapButton,index:0},k={l:b.x+o.borderwidth,t:b.y+o.borderwidth};u.each((function(s,l){var 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h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),g=e.font.size*u,m=l.lineCount(h),v=Math.max(g*m,f.minHeight)+f.textOffsetY;v=Math.ceil(v),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=v,r.height1=Math.max(r.height1,v),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=v+f.gapButton,r.openHeight+=v+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,v),r.openHeight=r.totalHeight)})),c?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,f,h,p,d=this.position.l,g=this.position.w,m=this.position.t,v=this.position.h,y=this.position.direction,x=\"down\"===y,b=\"left\"===y,_=\"up\"===y,w=g,T=v;x||b||\"right\"===y||_||(this.position.direction=\"down\",x=!0),x||_?(f=(u=d)+w,x?(h=m,T=(p=Math.min(h+T,c))-h):T=(p=m+T)-(h=Math.max(p-T,0))):(p=(h=m)+T,b?w=(f=d+w)-(u=Math.max(f-w,0)):(u=d,w=(f=Math.min(u+w,l))-u)),this._box={l:u,t:h,w:w,h:T};var k=g>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=m+v;E+M>c&&(E=c-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=v>T,P=s.barWidth+2*s.barPad,I=s.barLength+2*s.barPad,O=d+g,z=m;O+P>l&&(O=l-P);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:O,y:z,width:P,height:I}),this._vbarYMin=z+I/2,this._vbarTranslateMax=T-I):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var 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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._trueSide||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 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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 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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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t=this,e=t.graphDiv,r=e._fullLayout,i=\"clip\"+r._uid+t.id;t.clipDef=r._clips.append(\"clipPath\").attr(\"id\",i),t.clipRect=t.clipDef.append(\"rect\"),t.framework=n.select(t.container).append(\"g\").attr(\"class\",\"geo \"+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:\"x\",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:\"y\",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},g.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var 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_=(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\":561,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],595:[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\":528,\"../cartesian/axes\":554}],596:[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\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").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}}},{\"../../../stackgl_modules\":1119,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[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\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[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\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[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\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[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\":503,\"../../../lib/str2rgbarray\":528}],603:[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\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[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\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[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\":528}],606:[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\":503,\"../../cartesian/axes\":554}],607:[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])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").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=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g<c.length;++g)\"skip\"!==(t=e.traces[c[g]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function m(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:m(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:m(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:m(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=m(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=m(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=m(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},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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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 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e[o.findIndexOfMin(e,(function(e){return o.angleDist(t,e)}))]}function V(t,e,r){return e?(t.attr(\"display\",null),t.attr(r)):t&&t.attr(\"display\",\"none\"),t}e.exports=function(t,e,r){return new B(t,e,r)},N.plot=function(t,e){for(var r=e[this.id],n=!1,i=0;i<t.length;i++){if(!1===t[i][0].trace.cliponaxis){n=!0;break}}this._hasClipOnAxisFalse=n,this.updateLayers(e,r),this.updateLayout(e,r),f.generalUpdatePerTraceModule(this.gd,this,t,r),this.updateFx(e,r),this.isSmith&&(delete r.realaxis.range,delete r.imaginaryaxis.range)},N.updateLayers=function(t,e){var r=this.isSmith,i=this.layers,a=this.getRadial(e),o=this.getAngular(e),s=S.layerNames,l=s.indexOf(\"frontplot\"),c=s.slice(0,l),u=\"below traces\"===o.layer,f=\"below traces\"===a.layer;u&&c.push(\"angular-line\"),f&&c.push(\"radial-line\"),u&&c.push(\"angular-axis\"),f&&c.push(\"radial-axis\"),c.push(\"frontplot\"),u||c.push(\"angular-line\"),f||c.push(\"radial-line\"),u||c.push(\"angular-axis\"),f||c.push(\"radial-axis\");var h=(r?\"smith\":\"polar\")+\"sublayer\",p=this.framework.selectAll(\".\"+h).data(c,String);p.enter().append(\"g\").attr(\"class\",(function(t){return h+\" \"+t})).each((function(t){var e=i[t]=n.select(this);switch(t){case\"frontplot\":r||e.append(\"g\").classed(\"barlayer\",!0),e.append(\"g\").classed(\"scatterlayer\",!0);break;case\"backplot\":e.append(\"g\").classed(\"maplayer\",!0);break;case\"plotbg\":i.bg=e.append(\"path\");break;case\"radial-grid\":case\"angular-grid\":e.style(\"fill\",\"none\");break;case\"radial-line\":e.append(\"line\").style(\"fill\",\"none\");break;case\"angular-line\":e.append(\"path\").style(\"fill\",\"none\")}})),p.order()},N.updateLayout=function(t,e){var r=this.layers,n=t._size,i=this.getRadial(e),a=this.getAngular(e),o=e.domain.x,s=e.domain.y;this.xOffset=n.l+n.w*o[0],this.yOffset=n.t+n.h*(1-s[1]);var f=this.xLength=n.w*(o[1]-o[0]),h=this.yLength=n.h*(s[1]-s[0]),p=this.getSector(e);this.sectorInRad=p.map(R);var d,g,m,v,y,x=this.sectorBBox=function(t){var e,r,n,i,a=t[0],o=t[1]-a,s=D(a,360),l=s+o,c=Math.cos(R(s)),u=Math.sin(R(s)),f=Math.cos(R(l)),h=Math.sin(R(l));i=s<=90&&l>=90||s>90&&l>=450?1:u<=0&&h<=0?0:Math.max(u,h);e=s<=180&&l>=180||s>180&&l>=540?-1:c>=0&&f>=0?0:Math.min(c,f);r=s<=270&&l>=270||s>270&&l>=630?-1:u>=0&&h>=0?0:Math.min(u,h);n=l>=360?1:c<=0&&f<=0?0:Math.max(c,f);return[e,r,n,i]}(p),b=x[2]-x[0],_=x[3]-x[1],w=h/f,T=Math.abs(_/b);w>T?(d=f,y=(h-(g=f*T))/n.h/2,m=[o[0],o[1]],v=[s[0]+y,s[1]-y]):(g=h,y=(f-(d=h/T))/n.w/2,m=[o[0]+y,o[1]-y],v=[s[0],s[1]]),this.xLength2=d,this.yLength2=g,this.xDomain2=m,this.yDomain2=v;var k,A=this.xOffset2=n.l+n.w*m[0],M=this.yOffset2=n.t+n.h*(1-v[1]),S=this.radius=d/b,E=this.innerRadius=this.getHole(e)*S,L=this.cx=A-S*x[0],C=this.cy=M+S*x[3],P=this.cxx=L-A,I=this.cyy=C-M,O=i.side;\"counterclockwise\"===O?(k=O,O=\"top\"):\"clockwise\"===O&&(k=O,O=\"bottom\"),this.radialAxis=this.mockAxis(t,e,i,{_id:\"x\",side:O,_trueSide:k,domain:[E/n.w,S/n.w]}),this.angularAxis=this.mockAxis(t,e,a,{side:\"right\",domain:[0,Math.PI],autorange:!1}),this.doAutoRange(t,e),this.updateAngularAxis(t,e),this.updateRadialAxis(t,e),this.updateRadialAxisTitle(t,e),this.xaxis=this.mockCartesianAxis(t,e,{_id:\"x\",domain:m}),this.yaxis=this.mockCartesianAxis(t,e,{_id:\"y\",domain:v});var z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",l(P,I)),r.frontplot.attr(\"transform\",l(A,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",l(L,C)).call(c.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=this.getRadial(e);g(r,n);var 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h.tickText(m,t,!0,!1)})):h.calcTicks(m),k=y?T:h.clipEnds(m,T),A=h.getTickSigns(m)[2];y&&((\"top\"===m.ticks&&\"bottom\"===m.side||\"bottom\"===m.ticks&&\"top\"===m.side)&&(A=-A),\"top\"===m.ticks&&\"top\"===m.side&&(w=-m.ticklen),\"bottom\"===m.ticks&&\"bottom\"===m.side&&(w=m.ticklen)),h.drawTicks(n,m,{vals:T,layer:i[\"radial-axis\"],path:h.makeTickPath(m,0,A),transFn:x,crisp:!1}),h.drawGrid(n,m,{vals:k,layer:i[\"radial-grid\"],path:b,transFn:o.noop,crisp:!1}),h.drawLabels(n,m,{vals:T,layer:i[\"radial-axis\"],transFn:x,labelFns:h.makeLabelFns(m,w)})}var M=r.radialAxisAngle=r.vangles?F(U(R(d.angle),r.vangles)):d.angle,S=l(f,p),E=S+s(-M);V(i[\"radial-axis\"],v&&(d.showticklabels||d.ticks),{transform:E}),V(i[\"radial-grid\"],v&&d.showgrid,{transform:y?\"\":S}),V(i[\"radial-line\"].select(\"line\"),v&&d.showline,{x1:y?-a:u,y1:0,x2:a,y2:0,transform:E}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},N.updateRadialAxisTitle=function(t,e,r){if(!this.isSmith){var n=this.gd,i=this.radius,a=this.cx,o=this.cy,s=this.getRadial(e),l=this.id+\"title\",c=0;if(s.title){var f=u.bBox(this.layers[\"radial-axis\"].node()).height,h=s.title.font.size,p=s.side;c=\"top\"===p?h:\"counterclockwise\"===p?-(f+.4*h):f+.8*h}var d=void 0!==r?r:this.radialAxisAngle,g=R(d),m=Math.cos(g),v=Math.sin(g),y=a+i/2*m+c*v,b=o-i/2*v+c*m;this.layers[\"radial-axis-title\"]=x.draw(n,l,{propContainer:s,propName:this.id+\".radialaxis.title\",placeholder:z(n,\"Click to enter radial axis title\"),attributes:{x:y,y:b,\"text-anchor\":\"middle\"},transform:{rotate:-d}})}},N.updateAngularAxis=function(t,e){var r=this,n=r.gd,i=r.layers,a=r.radius,u=r.innerRadius,f=r.cx,p=r.cy,d=r.getAngular(e),g=r.angularAxis,m=r.isSmith;m||(r.fillViewInitialKey(\"angularaxis.rotation\",d.rotation),g.setGeometry(),g.setScale());var v=m?function(t){var e=O(r,C([0,t.x]));return Math.atan2(e[0]-f,e[1]-p)-Math.PI/2}:function(t){return g.t2g(t.x)};\"linear\"===g.type&&\"radians\"===g.thetaunit&&(g.tick0=F(g.tick0),g.dtick=F(g.dtick));var y=function(t){return l(f+a*Math.cos(t),p-a*Math.sin(t))},x=m?function(t){var e=O(r,C([0,t.x]));return l(e[0],e[1])}:function(t){return y(v(t))},b=m?function(t){var e=O(r,C([0,t.x])),n=Math.atan2(e[0]-f,e[1]-p)-Math.PI/2;return l(e[0],e[1])+s(-F(n))}:function(t){var e=v(t);return y(e)+s(-F(e))},_=m?function(t){return P(r,t.x,0,1/0)}:function(t){var e=v(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+u*r,p-u*n]+\"L\"+[f+a*r,p-a*n]},w=h.makeLabelFns(g,0).labelStandoff,T={xFn:function(t){var e=v(t);return Math.cos(e)*w},yFn:function(t){var e=v(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=v(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=v(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+g._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=m?[1/0].concat(g.tickvals||[]).map((function(t){return h.tickText(g,t,!0,!1)})):h.calcTicks(g);if(m&&(S[0].text=\"\\u221e\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(v),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===g.type&&(S=S.filter((function(t){return o.isAngleInsideSector(v(t),r.sectorInRad)}))),g.visible){var E=\"inside\"===g.ticks?-1:1,L=(g.linewidth||1)/2;h.drawTicks(n,g,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*g.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,g,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(c.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var e,r,s=this,c=s.isSmith,u=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,g=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,I=E.clampTiny,O=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=m.makeDragger(f,\"path\",\"maindrag\",\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){y.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||v.unhover(u,t)};var B,N,j,U,V,H,q,G,Y,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function Q(t,e){if(0===t)return s.pathSector(2*D);var r=R/t,n=e-r,i=e+r,a=Math.max(0,Math.min(t,g)),o=a-D,l=a+D;return\"M\"+K(o,n)+\"A\"+[o,o]+\" 0,0,0 \"+K(o,i)+\"L\"+K(l,i)+\"A\"+[l,l]+\" 0,0,1 \"+K(l,n)+\"Z\"}function $(t,e,r){if(0===t)return s.pathSector(2*D);var n,i,a=K(t,e),o=K(t,r),l=I((a[0]+o[0])/2),c=I((a[1]+o[1])/2);if(l&&c){var u=c/l,f=-1/u,h=O(D,u,l,c);n=O(R,f,h[0][0],h[0][1]),i=O(R,f,h[1][0],h[1][1])}else{var p,d;c?(p=R,d=D):(p=D,d=R),n=[[l-p,c-d],[l+p,c-d]],i=[[l-p,c+d],[l+p,c+d]]}return\"M\"+n.join(\"L\")+\"L\"+i.reverse().join(\"L\")+\"Z\"}function tt(t,e){return e=Math.max(Math.min(e,g),x),t<d?t=0:g-t<d?t=g:e<d?e=0:g-e<d&&(e=g),Math.abs(e-t)>p?(t<e?(j=t,U=e):(j=e,U=t),!0):(j=null,U=null,!1)}function et(t,e){t=t||V,e=e||\"M0,0Z\",G.attr(\"d\",t),Y.attr(\"d\",e),m.transitionZoombox(G,Y,H,q),H=!0;var r={};ot(r),u.emit(\"plotly_relayouting\",r)}function rt(t,n){var i,a,o=B+(t*=e),l=N+(n*=r),c=Z(B,N),u=Math.min(Z(o,l),g),f=J(B,N);tt(c,u)&&(i=V+s.pathSector(U),j&&(i+=s.pathSector(j)),a=Q(j,f)+Q(U,f)),et(i,a)}function 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../cartesian/layout_attributes\":569,\"../domain\":584}],636:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../plot_api/plot_template\"),a=t(\"../../lib\"),o=t(\"../subplot_defaults\"),s=t(\"../cartesian/tick_label_defaults\"),l=t(\"../cartesian/prefix_suffix_defaults\"),c=t(\"../cartesian/tick_mark_defaults\"),u=t(\"../cartesian/tick_value_defaults\"),f=t(\"../cartesian/line_grid_defaults\"),h=t(\"./layout_attributes\"),p=[\"aaxis\",\"baxis\",\"caxis\"];function d(t,e,r,a){var o,s,l,c=r(\"bgcolor\"),u=r(\"sum\");a.bgColor=n.combine(c,a.paper_bgcolor);for(var f=0;f<p.length;f++)s=t[o=p[f]]||{},(l=i.newContainer(e,o))._name=o,g(s,l,a,e);var h=e.aaxis,d=e.baxis,m=e.caxis;h.min+d.min+m.min>=u&&(h.min=0,d.min=0,m.min=0,t.aaxis&&delete t.aaxis.min,t.baxis&&delete t.baxis.min,t.caxis&&delete t.caxis.min)}function g(t,e,r,n){var i=h[e._name];function o(r,n){return a.coerce(t,e,i,r,n)}o(\"uirevision\",n.uirevision),e.type=\"linear\";var p=o(\"color\"),d=p!==i.color.dflt?p:r.font.color,g=e._name.charAt(0).toUpperCase(),m=\"Component \"+g,v=o(\"title.text\",m);e._hovertitle=v===m?v:g,a.coerceFont(o,\"title.font\",{family:r.font.family,size:a.bigFont(r.font.size),color:d}),o(\"min\"),u(t,e,o,\"linear\"),l(t,e,o,\"linear\"),s(t,e,o,\"linear\"),c(t,e,o,{outerTicks:!0}),o(\"showticklabels\")&&(a.coerceFont(o,\"tickfont\",{family:r.font.family,size:r.font.size,color:d}),o(\"tickangle\"),o(\"tickformat\")),f(t,e,o,{dfltColor:p,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:h,handleDefaults:d,font:e.font,paper_bgcolor:e.paper_bgcolor})}},{\"../../components/color\":366,\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../cartesian/line_grid_defaults\":571,\"../cartesian/prefix_suffix_defaults\":573,\"../cartesian/tick_label_defaults\":578,\"../cartesian/tick_mark_defaults\":579,\"../cartesian/tick_value_defaults\":580,\"../subplot_defaults\":632,\"./layout_attributes\":635}],637:[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 H(t,e){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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a}(u,h),[l]}}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/hover\":655}],778:[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\":366,\"../../components/drawing\":388,\"../../constants/interactions\":478,\"../bar/style\":662,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],783:[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\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"../pie/defaults\":902,\"./attributes\":783}],787:[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\":910,\"./attributes\":783,\"./base_plot\":784,\"./calc\":785,\"./defaults\":786,\"./layout_attributes\":788,\"./layout_defaults\":789,\"./plot\":790,\"./style\":791}],788:[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\":906}],789:[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\":503,\"./layout_attributes\":788}],790:[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 g=1/0,m=-1/0;for(f=0;f<p.length;f++)a=p[f],g=Math.min(g,a[1]),m=Math.max(m,a[1]);for(f=0;f<p.length;f++)p[f][1]-=(m+g)/2;var v=p[p.length-1][0],y=e.r,x=(m-g)/2,b=y/v,_=y/x*n;for(e.r=_*x,f=0;f<p.length;f++)p[f][0]*=b,p[f][1]*=_;var w=[-(a=p[0])[0],a[1]],T=[a[0],a[1]],k=0;for(f=t.length-1;f>-1;f--)if(!(h=t[f]).hidden){var A=p[k+=1][0],M=p[k][1];h.TL=[-A,M],h.TR=[A,M],h.BL=w,h.BR=T,h.pxmid=(S=h.TR,E=h.BR,[.5*(S[0]+E[0]),.5*(S[1]+E[1])]),w=h.TL,T=h.TR}var S,E}(e),u.each((function(){var u=n.select(this).selectAll(\"g.slice\").data(e);u.enter().append(\"g\").classed(\"slice\",!0),u.exit().remove(),u.each((function(o,s){if(o.hidden)n.select(this).selectAll(\"path,g\").remove();else{o.pointNumber=o.i,o.curveNumber=d.index;var u=h.cx,v=h.cy,y=n.select(this),x=y.selectAll(\"path.surface\").data([o]);x.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),y.call(g,t,e);var 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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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 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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\":374}],868:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../../stackgl_modules\").delaunay_triangulate,a=t(\"../../../stackgl_modules\").alpha_shape,o=t(\"../../../stackgl_modules\").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 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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 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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\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],888:[function(t,e,r){\"use 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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\":503,\"../../lib/gup\":500,\"./constants\":891,\"@plotly/d3\":58}],889:[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\":480,\"../../plots/get_data\":593,\"./plot\":898,\"@plotly/d3\":58}],890:[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\":378,\"../../lib\":503,\"../../lib/gup\":500}],891:[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\":503}],894:[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\":887,\"./base_plot\":889,\"./calc\":890,\"./defaults\":892,\"./plot\":898}],895:[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 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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 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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\":503,\"./constants\":891,glslify:227}],896:[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}},{}],897:[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 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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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r=t._fullLayout;if(i(t)){var s={},l={},c={},u={},f=r._size;e.forEach((function(e,r){var n=e[0].trace;c[r]=n.index;var i=u[r]=n._fullInput.index;s[r]=t.data[i].dimensions,l[r]=t.data[i].dimensions.slice()}));n(t,e,{width:f.w,height:f.h,margin:{t:f.t,r:f.r,b:f.b,l:f.l}},{filterChanged:function(e,n,i){var a=l[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",f=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===f[s]){var h=a.constraintrange;f[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[u[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return 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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\":366,\"fast-isnumeric\":190,tinycolor2:312}],902:[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\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":899,\"fast-isnumeric\":190}],903:[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\":402}],904:[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\":503}],905:[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\":899,\"./base_plot\":900,\"./calc\":901,\"./defaults\":902,\"./layout_attributes\":906,\"./layout_defaults\":907,\"./plot\":908,\"./style\":909,\"./style_one\":910}],906:[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\"}}},{}],907:[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\":503,\"./layout_attributes\":906}],908:[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 e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=i.numberFormat,o=t(\"./render\"),s=t(\"../../components/fx\"),l=t(\"../../components/color\"),c=t(\"./constants\").cn,u=i._;function f(t){return\"\"!==t}function h(t,e){return t.filter((function(t){return t.key===e.traceId}))}function p(t,e){n.select(t).select(\"path\").style(\"fill-opacity\",e),n.select(t).select(\"rect\").style(\"fill-opacity\",e)}function d(t){n.select(t).select(\"text.name\").style(\"fill\",\"black\")}function g(t){return function(e){return-1!==t.node.sourceLinks.indexOf(e.link)||-1!==t.node.targetLinks.indexOf(e.link)}}function m(t){return function(e){return-1!==e.node.sourceLinks.indexOf(t.link)||-1!==e.node.targetLinks.indexOf(t.link)}}function v(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(x.bind(0,e,r,!1))}function y(t,e,r){e&&r&&h(r,e).selectAll(\".\"+c.sankeyLink).filter(g(e)).call(b.bind(0,e,r,!1))}function x(t,e,r,n){var i=n.datum().link.label;n.style(\"fill-opacity\",(function(t){if(!t.link.concentrationscale)return.4})),i&&h(e,t).selectAll(\".\"+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 a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{\"../../components/color\":366,\"../../components/fx\":406,\"../../lib\":503,\"./constants\":918,\"./render\":922,\"@plotly/d3\":58}],922:[function(t,e,r){\"use strict\";var n=t(\"d3-force\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"@plotly/d3\"),o=t(\"@plotly/d3-sankey\"),s=t(\"@plotly/d3-sankey-circular\"),l=t(\"./constants\"),c=t(\"tinycolor2\"),u=t(\"../../components/color\"),f=t(\"../../components/drawing\"),h=t(\"../../lib\"),p=h.strTranslate,d=h.strRotate,g=t(\"../../lib/gup\"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t(\"../../lib/svg_text_utils\"),b=t(\"../../registry\"),_=t(\"../../constants/alignment\"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var 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 i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:m,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:g,dragPerpendicular:f?g:m,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return 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)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,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+\" \"+o+\",\"+h+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=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(\"../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\":373,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/template_attributes\":633,\"../scatter/attributes\":925}],960:[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\":503,\"../scatter/constants\":929,\"../scatter/fillcolor_defaults\":933,\"../scatter/line_defaults\":938,\"../scatter/line_shape_defaults\":940,\"../scatter/marker_defaults\":944,\"../scatter/subtypes\":950,\"../scatter/text_defaults\":951,\"./attributes\":959}],962:[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}},{}],963:[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}},{}],964:[function(t,e,r){\"use strict\";var n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":936}],965:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":388,\"../../plots/cartesian/axes\":554,\"../scatter/plot\":946}],967:[function(t,e,r){\"use strict\";var 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 m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":503,\"../scatter/fillcolor_defaults\":933,\"../scatter/line_defaults\":938,\"../scatter/marker_defaults\":944,\"../scatter/subtypes\":950,\"../scatter/text_defaults\":951,\"./attributes\":967}],970:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],971:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return 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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\":406,\"../../constants/numerical\":479,\"../../lib\":503,\"../scatter/get_trace_color\":935,\"./attributes\":967}],973:[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 Array(h),r=0;r<h;r++)n=t[r],m[r]=n.lonlat[0],v[r]=n.lonlat[1];y.ppad=u(i,h)}i._extremes.lon=l(o.lonaxis._ax,m,y),i._extremes.lat=l(o.lataxis._ax,v,y)},plot:function(t,e,r){var a=e.layers.frontplot.select(\".scatterlayer\"),s=i.makeTraceGroups(a,r,\"trace scattergeo\");function l(t,e){t.lonlat[0]===c&&n.select(e).remove()}s.selectAll(\"*\").remove(),s.each((function(e){var r=n.select(this),a=e[0].trace;if(f.hasLines(a)||\"none\"!==a.fill){var 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\":479,\"../../lib\":503,\"../../lib/geo_location_utils\":496,\"../../lib/geojson_utils\":497,\"../../lib/topojson_utils\":532,\"../../plots/cartesian/autorange\":553,\"../scatter/calc\":926,\"../scatter/subtypes\":950,\"./style\":976,\"@plotly/d3\":58}],975:[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\":366,\"../../components/drawing\":388,\"../scatter/style\":949,\"@plotly/d3\":58}],977:[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\":373,\"../../lib/extend\":493,\"../../lib/sort_object_keys\":526,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../scatter/attributes\":925,\"./constants\":979}],978:[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\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":942,\"../scatter/subtypes\":950,\"./constants\":979,\"./helpers\":984,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],981:[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\":503,\"../../registry\":638,\"../scatter/constants\":929,\"../scatter/fillcolor_defaults\":933,\"../scatter/line_defaults\":938,\"../scatter/marker_defaults\":944,\"../scatter/period_defaults\":945,\"../scatter/subtypes\":950,\"../scatter/text_defaults\":951,\"../scatter/xy_defaults\":952,\"./attributes\":977,\"./helpers\":984}],982:[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\":366,\"../../constants/interactions\":478,\"../../lib\":503}],983:[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\":934}],984:[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\":979}],985:[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\":503,\"../../registry\":638,\"../scatter/get_trace_color\":935}],986:[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\":568,\"../scatter/cross_trace_defaults\":931,\"../scatter/marker_colorbar\":943,\"./attributes\":977,\"./calc\":978,\"./defaults\":981,\"./format_labels\":983,\"./hover\":985,\"./plot\":987,\"./select\":989}],987:[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\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":941,\"../scatter/subtypes\":950,\"./edit_style\":982,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],988:[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\":503}],989:[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\":950,\"./edit_style\":982}],990:[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\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/mapbox/layout_attributes\":615,\"../../plots/template_attributes\":633,\"../scatter/attributes\":925,\"../scattergeo/attributes\":967}],991:[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 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A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":904,\"../pie/plot\":908,\"./constants\":1047,\"./fx\":1049,\"./helpers\":1050,\"./style\":1055,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1055:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1056:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1057:[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\":374}],1058:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").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 d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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 t&&(p.ambientLight=t.lighting.ambient,p.diffuseLight=t.lighting.diffuse,p.specularLight=t.lighting.specular,p.roughness=t.lighting.roughness,p.fresnel=t.lighting.fresnel),\"lightposition\"in t&&(p.lightPosition=[t.lightposition.x,t.lightposition.y,t.lightposition.z])},p.dispose=function(){this.scene.glplot.remove(this.surface),this.surface.dispose()},e.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new h(t,i,e.uid);return i._trace=a,a.update(e),t.glplot.add(i),a}},{\"../../../stackgl_modules\":1119,\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../lib/str2rgbarray\":528,\"../heatmap/find_empties\":798,\"../heatmap/interp2d\":801}],1059:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../../components/colorscale/defaults\"),o=t(\"./attributes\");function s(t,e,r,n){var 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this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],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,H=0|s[1],q=8191&H,G=H>>>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,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|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,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|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,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|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,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|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,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,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,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|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,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,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,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|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,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|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,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|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 g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(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):g(this,t,e)},m.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},m.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},m.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]]},m.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)}},m.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},m.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}},m.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},m.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))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.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),g(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 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fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.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},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var 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},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[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}},{}],35:[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 s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],g=a[e+p+t],m=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=c[e+y+t],_=u[v];if(!(b<d||g<x)){for(var w=e+1;w<t;++w){var T=a[w+p],k=a[w+t+p],A=c[w+y],M=c[w+t+y];if(k<A||M<T)continue t}var S=r(m,_);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u):function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=s,p=f*s;h<l;++h,p+=f){var d=c[e+p],g=c[e+p+t],m=u[h];t:for(var v=n,y=f*n;v<i;++v,y+=f){var x=a[e+y],b=a[e+y+t],_=o[v];if(!(g<x||b<d)){for(var w=e+1;w<t;++w){var T=a[w+y],k=a[w+t+y],A=c[w+p],M=c[w+t+p];if(k<A||M<T)continue t}var S=r(_,m);if(void 0!==S)return S}}}}(t,e,r,n,i,a,o,s,l,c,u)}:function(t,e,r,n,i,a,o,s,l,c,u,f){return a-i>c-l?n?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var d=a[e+p],g=a[e+p+t],m=o[h];t:for(var v=s,y=f*s;v<l;++v,y+=f){var x=c[e+y],b=u[v];if(!(x<=d||g<x)){for(var _=e+1;_<t;++_){var w=a[_+p],T=a[_+t+p],k=c[_+y],A=c[_+t+y];if(T<k||A<w)continue t}var M=r(b,m);if(void 0!==M)return 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e=i.nextPow2(t);o.length<e&&(n.free(o),o=n.mallocInt32(e));s.length<e&&(n.free(s),s=n.mallocInt32(e));l.length<e&&(n.free(l),l=n.mallocInt32(e));c.length<e&&(n.free(c),c=n.mallocInt32(e));u.length<e&&(n.free(u),u=n.mallocInt32(e));f.length<e&&(n.free(f),f=n.mallocInt32(e));var r=8*e;h.length<r&&(n.free(h),h=n.mallocDouble(r))},sweepBipartite:function(t,e,r,n,i,u,f,g,m,v){for(var y=0,x=2*t,b=t-1,_=x-1,w=r;w<n;++w){var T=u[w],k=x*w;h[y++]=i[k+b],h[y++]=-(T+1),h[y++]=i[k+_],h[y++]=T}for(w=f;w<g;++w){T=v[w]+(1<<28);var A=x*w;h[y++]=m[A+b],h[y++]=-T,h[y++]=m[A+_],h[y++]=T}var M=y>>>1;a(h,M);var S=0,E=0;for(w=0;w<M;++w){var L=0|h[2*w+1];if(L>=1<<28)p(l,c,E--,L=L-(1<<28)|0);else if(L>=0)p(o,s,S--,L);else if(L<=-(1<<28)){L=-L-(1<<28)|0;for(var C=0;C<S;++C){if(void 0!==(P=e(o[C],L)))return P}d(l,c,E++,L)}else{L=-L-1|0;for(C=0;C<E;++C){var P;if(void 0!==(P=e(L,l[C])))return P}d(o,s,S++,L)}}},sweepComplete:function(t,e,r,n,i,g,m,v,y,x){for(var b=0,_=2*t,w=t-1,T=_-1,k=r;k<n;++k){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),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,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[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)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,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)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],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\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[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\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[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,H=w;for(A=0;A<3;++A)V[A]=H&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\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[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\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(m,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function 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\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[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 t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,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\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[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:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[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, 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:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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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\":146}],87:[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\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[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],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(q===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=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+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\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[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:231}],90:[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\":132,glslify:231}],91:[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\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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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}},{}],97:[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}},{}],98:[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}},{}],99:[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\":97}],100:[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}},{}],101:[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}},{}],102:[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}},{}],103:[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}},{}],104:[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}},{}],105:[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}},{}],106:[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}},{}],107:[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}},{}],108:[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}},{}],109:[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}},{}],110:[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:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[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:231}],112:[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,H=0,q=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),q+=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)}H+=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=q,this.edgeCount=H,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\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[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\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[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\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[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\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[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:231}],117:[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\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[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\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[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\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[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\":132,glslify:231}],121:[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 H(){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\",H),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\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){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=q[0],i=q[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(!H()){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\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[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:231}],123:[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\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[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}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[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\":311}],127:[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\":132,glslify:231}],128:[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 H=0;Array.isArray(m)?H=n<m.length?+m[n]:0:m&&(H=+m);var q=Math.cos(H),G=Math.sin(H);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*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*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*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*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\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[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:231}],130:[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\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[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 l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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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\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[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:231}],143:[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(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,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\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[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\":132,glslify:231}],145:[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 H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][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[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+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]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,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(q>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\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[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 x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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-       "/*!\n",
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-       " * @license  MIT\n",
-       " */\n",
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l=0;l<3;++l){for(var c=0,f=0;f<3;++f)c+=r[l+4*f]*i[f];r[12+l]=-c}},h.getMatrix=function(t,e){this.recalcMatrix(t);var r=this.computedMatrix;if(e){for(var n=0;n<16;++n)e[n]=r[n];return e}return r},h.idle=function(t){this.center.idle(t),this.radius.idle(t),this.rotation.idle(t)},h.flush=function(t){this.center.flush(t),this.radius.flush(t),this.rotation.flush(t)},h.pan=function(t,e,r,n){e=e||0,r=r||0,n=n||0,this.recalcMatrix(t);var i=this.computedMatrix,a=i[1],o=i[5],s=i[9],c=l(a,o,s);a/=c,o/=c,s/=c;var u=i[0],f=i[4],h=i[8],p=u*a+f*o+h*s,d=l(u-=a*p,f-=o*p,h-=s*p);u/=d,f/=d,h/=d;var g=i[2],m=i[6],v=i[10],y=g*a+m*o+v*s,x=g*u+m*f+v*h,b=l(g-=y*a+x*u,m-=y*o+x*f,v-=y*s+x*h);g/=b,m/=b,v/=b;var _=u*e+a*r,w=f*e+o*r,T=h*e+s*r;this.center.move(t,_,w,T);var k=Math.exp(this.computedRadius[0]);k=Math.max(1e-4,k+n),this.radius.set(t,Math.log(k))},h.rotate=function(t,e,r,n){this.recalcMatrix(t),e=e||0,r=r||0;var i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],g=i[10],m=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=g;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return 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-       "/*!\n",
-       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
-       " *\n",
-       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
-       " * Licensed under the MIT license.\n",
-       " */\n",
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o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,g=d[0],m=d[1],v=d[2],y=i*g+a*m+o*v,x=c(g-=y*i,m-=y*a,v-=y*o);if(!(x<.01&&(x=c(g=a*h-o*f,m=o*l-i*h,v=i*f-a*l))<1e-6)){g/=x,m/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,g,m,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*m,_=o*g-i*v,w=i*m-a*g,T=c(b,_,w),k=i*l+a*f+o*h,A=g*l+m*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":68,\"gl-mat4/invert\":98,\"gl-mat4/rotate\":103,\"gl-vec3/cross\":157,\"gl-vec3/dot\":162,\"gl-vec3/normalize\":179}],306:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){\"use strict\";var 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null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=g,r.mallocUint32=m,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=A,r.mallocBuffer=M,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,\"length\",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],310:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){\"object\"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t(\"./lib/vtext\"),i=null,a=null;\"undefined\"!=typeof 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n=t(\"surface-nets\"),i=t(\"ndarray\"),a=t(\"simplify-planar-graph\"),o=t(\"clean-pslg\"),s=t(\"cdt2d\"),l=t(\"planar-graph-to-polyline\");function c(t,e,r,n){for(var i=\"<\"+t+\">\",a=\"</\"+t+\">\",o=i.length,s=a.length,l=\"+\"===e[0]||\"-\"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+\" \"+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||\"start\",i=e.textBaseline||\"alphabetic\",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var 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-    "# plotting all columns using plotly engine, you can\n",
-    "hourly_data.line(engine=\"plotly\",plot_bgcolor=\"gray\",title=\"My Beautiful Plot <br> :-)\")"
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-    "## Load duration curve\n",
-    "Load duration curve, also known as a duration curve or a load-duration profile, is the representation of the cumulative distribution of a electricity demand over a specified period of time. To plot this curve, you may use the load_duration_curve function in different modes like taking a specific column of your data calculating the mean or sum for this purpose first:"
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-   "cell_type": "code",
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-   "id": "a4b3e4a1",
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-       "<Axes: >"
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Taking a column\n",
-    "hourly_data.load_duration_curve(column=\"case 1\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 25,
-   "id": "f4366b66",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: >"
-      ]
-     },
-     "execution_count": 25,
-     "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": [
-    "# plotting for mean\n",
-    "hourly_data.mean().load_duration_curve(\"Mean\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "26e16e61",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: >"
-      ]
-     },
-     "execution_count": 26,
-     "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": [
-    "# Taking sum\n",
-    "hourly_data.sum().load_duration_curve(\"Sum\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b3bb5e37",
-   "metadata": {},
-   "source": [
-    "## Area Plot\n",
-    "using the area plot function, you can plot the cummulative sum of the the columns in your data:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "ae8f6f1f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
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-         "marker": {
-          "symbol": "circle"
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-         "mode": "lines",
-         "name": "case 1",
-         "orientation": "v",
-         "showlegend": true,
-         "stackgroup": "1",
-         "type": "scatter",
-         "x": [
-          "2022-01-02T00:00:00",
-          "2022-01-09T00:00:00",
-          "2022-01-16T00:00:00",
-          "2022-01-23T00:00:00",
-          "2022-01-30T00:00:00",
-          "2022-02-06T00:00:00",
-          "2022-02-13T00:00:00",
-          "2022-02-20T00:00:00",
-          "2022-02-27T00:00:00",
-          "2022-03-06T00:00:00",
-          "2022-03-13T00:00:00",
-          "2022-03-20T00:00:00",
-          "2022-03-27T00:00:00",
-          "2022-04-03T00:00:00",
-          "2022-04-10T00:00:00",
-          "2022-04-17T00:00:00",
-          "2022-04-24T00:00:00",
-          "2022-05-01T00:00:00",
-          "2022-05-08T00:00:00",
-          "2022-05-15T00:00:00",
-          "2022-05-22T00:00:00",
-          "2022-05-29T00:00:00",
-          "2022-06-05T00:00:00",
-          "2022-06-12T00:00:00",
-          "2022-06-19T00:00:00",
-          "2022-06-26T00:00:00",
-          "2022-07-03T00:00:00",
-          "2022-07-10T00:00:00",
-          "2022-07-17T00:00:00",
-          "2022-07-24T00:00:00",
-          "2022-07-31T00:00:00",
-          "2022-08-07T00:00:00",
-          "2022-08-14T00:00:00",
-          "2022-08-21T00:00:00",
-          "2022-08-28T00:00:00",
-          "2022-09-04T00:00:00",
-          "2022-09-11T00:00:00",
-          "2022-09-18T00:00:00",
-          "2022-09-25T00:00:00",
-          "2022-10-02T00:00:00",
-          "2022-10-09T00:00:00",
-          "2022-10-16T00:00:00",
-          "2022-10-23T00:00:00",
-          "2022-10-30T00:00:00",
-          "2022-11-06T00:00:00",
-          "2022-11-13T00:00:00",
-          "2022-11-20T00:00:00",
-          "2022-11-27T00:00:00",
-          "2022-12-04T00:00:00",
-          "2022-12-11T00:00:00",
-          "2022-12-18T00:00:00",
-          "2022-12-25T00:00:00",
-          "2023-01-01T00:00:00"
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-        {
-         "hovertemplate": "variable=case 2<br>date=%{x}<br>value=%{y}<extra></extra>",
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-         "line": {
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-          "symbol": "circle"
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-         "name": "case 2",
-         "orientation": "v",
-         "showlegend": true,
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-         "x": [
-          "2022-01-02T00:00:00",
-          "2022-01-09T00:00:00",
-          "2022-01-16T00:00:00",
-          "2022-01-23T00:00:00",
-          "2022-01-30T00:00:00",
-          "2022-02-06T00:00:00",
-          "2022-02-13T00:00:00",
-          "2022-02-20T00:00:00",
-          "2022-02-27T00:00:00",
-          "2022-03-06T00:00:00",
-          "2022-03-13T00:00:00",
-          "2022-03-20T00:00:00",
-          "2022-03-27T00:00:00",
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-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# to have a more visible visualization, lets only take the first 5 days of the data using the iloc function\n",
-    "\n",
-    "hourly_data.iloc(index=slice(0,24*5)).shadow(\n",
-    "    average=True, # plotting the average with a bold line and all the other solumns as cloud around it\n",
-    "    engine = \"plotly\"\n",
-    ")"
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-  {
-   "cell_type": "markdown",
-   "id": "8bc41b50",
-   "metadata": {},
-   "source": [
-    "## General plot fucntion\n",
-    "the Plot object has a function called **plot** that returns a pd.DataFrame.plot function offering some more plotting routines:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "0f766ace",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: xlabel='date'>"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# plotting the yearly consumption of different cases as bar charts\n",
-    "hourly_data.resample(\"1y\",\"sum\").plot(kind=\"bar\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b03d77b6",
-   "metadata": {},
-   "source": [
-    "## Saving the to a file\n",
-    "\n",
-    "If you want to save the data into a csv or excel file, you can use the two save function:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "501aa0bb",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/mohammadamintahavori/Documents/GitHub/RAMP/ramp/post_process/post_process.py:646: UserWarning:\n",
-      "\n",
-      "Pandas requires version '1.4.3' or newer of 'xlsxwriter' (version '1.3.7' currently installed).\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "# saving as csv\n",
-    "hourly_data.to_csv(\"path and name of csv file.csv\")\n",
-    "\n",
-    "# saving as xslx\n",
-    "hourly_data.to_excel(\"path and name of excel file.xlsx\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "3e10ebba",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/docs/notebooks/cooking_app.ipynb b/docs/notebooks/cooking_app.ipynb
index d7cbb2a2..9214a21e 100644
--- a/docs/notebooks/cooking_app.ipynb
+++ b/docs/notebooks/cooking_app.ipynb
@@ -10,10 +10,9 @@
     "In this example, appliances with multiple preferences index and\n",
     "attributes are modelled.\n",
     "\n",
-    "To have a better understanding of RAMP features for modelling these\n",
-    "category of appliances, two households are considered:\n",
+    "To have a better understanding of RAMP features for modelling this category of appliances, two households are considered:\n",
     "\n",
-    "1. A household with a fixed lunch habit of eating soup everyday.\n",
+    "1. A household with a fixed lunch habit of eating soup every day.\n",
     "2. A household with two lunch preferences: cooking soup or rice.\n",
     "\n",
     "The number of user preferences can be specified through **\"user_preference\"** parameter when initializing a **User** instance."
@@ -27,7 +26,7 @@
    "outputs": [],
    "source": [
     "# importing functions\n",
-    "from ramp import User,UseCase,calc_peak_time_range,yearly_pattern\n",
+    "from ramp import User, UseCase, get_day_type\n",
     "import pandas as pd"
    ]
   },
@@ -41,21 +40,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 9,
    "id": "77e6919a",
    "metadata": {},
    "outputs": [],
    "source": [
     "user_1 = User(\n",
-    "    user_name = \"Household with single lunch habit\",\n",
-    "    num_users = 1,\n",
-    "    user_preference = 1, # user_1 has only one lunch preference\n",
+    "    user_name=\"Household with single lunch habit\",\n",
+    "    num_users=1,\n",
+    "    user_preference=1,  # user_1 has only one lunch preference\n",
     ")\n",
     "\n",
     "user_2 = User(\n",
-    "    user_name = \"Household with different lunch habit\",\n",
-    "    num_users = 1,\n",
-    "    user_preference = 2, # user_2 has two lunch preferences\n",
+    "    user_name=\"Household with different lunch habits\",\n",
+    "    num_users=1,\n",
+    "    user_preference=2,  # user_2 has two lunch preferences\n",
     ")"
    ]
   },
@@ -91,19 +90,19 @@
    "source": [
     "# soup for lunch\n",
     "soup_1 = user_1.add_appliance(\n",
-    "    name = \"soup for lunch\",\n",
-    "    power = 1200,\n",
-    "    func_time = 25,\n",
-    "    func_cycle = 25,\n",
-    "    thermal_p_var = 0.2,\n",
-    "    fixed_cycle = 1,\n",
-    "    window_1 = [12*60,15*60],\n",
-    "    p_11 = 1200,   # power of the first cycle\n",
-    "    t_11 = 5,      # time needed for the first cycle\n",
-    "    p_12 = 750,    # power of the second cycle\n",
-    "    t_12 = 20,     # time needed for the second cycle\n",
-    "    cw11 = [12*60,15*60]\n",
-    ")\n"
+    "    name=\"soup for lunch\",\n",
+    "    power=1200,\n",
+    "    func_time=25,\n",
+    "    func_cycle=25,\n",
+    "    thermal_p_var=0.2,\n",
+    "    fixed_cycle=1,\n",
+    "    window_1=[12 * 60, 15 * 60],\n",
+    "    p_11=1200,  # power of the first cycle\n",
+    "    t_11=5,  # time needed for the first cycle\n",
+    "    p_12=750,  # power of the second cycle\n",
+    "    t_12=20,  # time needed for the second cycle\n",
+    "    cw11=[12 * 60, 15 * 60],\n",
+    ")"
    ]
   },
   {
@@ -112,7 +111,7 @@
    "metadata": {},
    "source": [
     "The second user has two different preferences for lunch. Accordingly, we need to model\n",
-    "these preferences and their characterisitics as two different appliances.\n",
+    "these preferences and their characteristics as two different appliances.\n",
     "\n",
     "Each preference needs to be specified with its associated cooking energy needs, such as\n",
     "the power, functioning time and the duty cycles of the cooking process.\n",
@@ -132,21 +131,20 @@
    "source": [
     "# soup for lunch\n",
     "soup_2 = user_2.add_appliance(\n",
-    "    name = \"soup for lunch\",\n",
-    "    power = 1200,\n",
-    "    func_time = 25,\n",
-    "    func_cycle = 25,\n",
-    "    thermal_p_var = 0.2,\n",
-    "    fixed_cycle = 1,\n",
-    "    pref_index = 1, # the first preference\n",
-    "    window_1 = [12*60,15*60],\n",
-    "    p_11 = 1200,   # power of the first cycle\n",
-    "    t_11 = 5,      # time needed for the first cycle\n",
-    "    p_12 = 750,    # power of the second cycle\n",
-    "    t_12 = 20,     # time needed for the second cycle\n",
-    "    cw11 = [12*60,15*60]\n",
-    ")\n",
-    "\n"
+    "    name=\"soup for lunch\",\n",
+    "    power=1200,\n",
+    "    func_time=25,\n",
+    "    func_cycle=25,\n",
+    "    thermal_p_var=0.2,\n",
+    "    fixed_cycle=1,\n",
+    "    pref_index=1,  # the first preference\n",
+    "    window_1=[12 * 60, 15 * 60],\n",
+    "    p_11=1200,  # power of the first cycle\n",
+    "    t_11=5,  # time needed for the first cycle\n",
+    "    p_12=750,  # power of the second cycle\n",
+    "    t_12=20,  # time needed for the second cycle\n",
+    "    cw11=[12 * 60, 15 * 60],\n",
+    ")"
    ]
   },
   {
@@ -158,20 +156,19 @@
    "source": [
     "# rice for lunch\n",
     "rice_2 = user_2.add_appliance(\n",
-    "    name = \"rice for lunch\",\n",
-    "    power = 1200,\n",
-    "    func_time = 15,\n",
-    "    func_cycle = 15,\n",
-    "    thermal_p_var = 0.2,\n",
-    "    pref_index = 2,  # the second preference\n",
-    "    fixed_cycle = 1,\n",
-    "    window_1 = [12*60,15*60],\n",
-    "    p_11 = 1200,   # power of the first cycle\n",
-    "    t_11 = 5,      # time needed for the first cycle\n",
-    "    p_12 = 600,    # power of the second cycle\n",
-    "    t_12 = 10,     # time needed for the second cycle\n",
-    "    cw11 = [12*60,15*60]\n",
-    "    \n",
+    "    name=\"rice for lunch\",\n",
+    "    power=1200,\n",
+    "    func_time=15,\n",
+    "    func_cycle=15,\n",
+    "    thermal_p_var=0.2,\n",
+    "    pref_index=2,  # the second preference\n",
+    "    fixed_cycle=1,\n",
+    "    window_1=[12 * 60, 15 * 60],\n",
+    "    p_11=1200,  # power of the first cycle\n",
+    "    t_11=5,  # time needed for the first cycle\n",
+    "    p_12=600,  # power of the second cycle\n",
+    "    t_12=10,  # time needed for the second cycle\n",
+    "    cw11=[12 * 60, 15 * 60],\n",
     ")"
    ]
   },
@@ -688,7 +685,7 @@
    ],
    "source": [
     "# you can have an overview of data inputs by usering User.export_to_dataframe method\n",
-    "user_lunch = UseCase(users=[user_1,user_2])\n",
+    "user_lunch = UseCase(users=[user_1, user_2], date_start=\"2020-01-01\")\n",
     "user_lunch.export_to_dataframe().T"
    ]
   },
@@ -703,45 +700,41 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "8c779916",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "peak_time_range = calc_peak_time_range(\n",
-    "    user_list = user_lunch.users\n",
-    ")\n",
-    "year_behaviour = yearly_pattern()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
    "id": "e4ea14ed",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You will simulate 90 day(s) from 2020-01-01 00:00:00 until 2020-03-31 00:00:00\n"
+     ]
+    }
+   ],
    "source": [
     "# number of days\n",
     "n_days = 90\n",
     "\n",
+    "user_lunch.initialize(num_days=n_days)\n",
     "# storing all the profiles for all the users\n",
-    "profiles = pd.DataFrame(index = pd.date_range(start = \"2020-01-01\",periods = 1440*n_days,freq=\"T\"))\n",
+    "profiles = pd.DataFrame(\n",
+    "    index=pd.date_range(start=\"2020-01-01\", periods=1440 * n_days, freq=\"T\")\n",
+    ")\n",
+    "\n",
+    "# here we need to use the\n",
     "\n",
     "for user in user_lunch.users:\n",
-    "   \n",
     "    # storing daily profiles for a user\n",
     "    user_profiles = []\n",
-    "    for day in range(n_days):\n",
+    "    for day_idx, day in enumerate(user_lunch.days):\n",
     "        single_profile = user.generate_single_load_profile(\n",
-    "            prof_i = day, # the day to generate the profile\n",
-    "            peak_time_range = peak_time_range,\n",
-    "            day_type = year_behaviour[day]\n",
+    "            prof_i=day_idx,  # the day to generate the profile\n",
+    "            day_type=get_day_type(day),\n",
     "        )\n",
     "\n",
     "        user_profiles.extend(single_profile)\n",
-    "        \n",
-    "    profiles[user.user_name] = user_profiles\n",
-    "        \n",
-    "    \n"
+    "\n",
+    "    profiles[user.user_name] = user_profiles"
    ]
   },
   {
@@ -749,48 +742,53 @@
    "id": "aa34afee",
    "metadata": {},
    "source": [
-    "Considering that the second user has the possibility of cooking rice for lunch, which has a less energy-intensive cooking cycle, we expect to see a higher energy \n",
-    "consumption for the the user that only eats soup, in most of the cases."
+    "Considering that the second user has the possibility of cooking rice for lunch, which has a less energy-intensive cooking cycle, we expect to see a higher energy consumption for the user that only eats soup, in most of the cases."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "id": "04545584",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:title={'center':'daily energy consumption'}>"
+       "<Axes: title={'center': 'daily energy consumption'}>"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "# daily energy consumption\n",
-    "profiles.resample(\"1d\").sum().plot(title = \"daily energy consumption\")"
+    "profiles.resample(\"1d\").sum().plot(title=\"daily energy consumption\")"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fe622733-3577-43f2-85f3-f53efbe32b7f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -804,7 +802,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/database.xlsx b/docs/notebooks/example_excel_usecase.xlsx
similarity index 100%
rename from docs/notebooks/database.xlsx
rename to docs/notebooks/example_excel_usecase.xlsx
diff --git a/docs/notebooks/database_1.xlsx b/docs/notebooks/example_excel_usecase_filled.xlsx
similarity index 100%
rename from docs/notebooks/database_1.xlsx
rename to docs/notebooks/example_excel_usecase_filled.xlsx
diff --git a/docs/notebooks/fixed_flat_app.ipynb b/docs/notebooks/fixed_flat_app.ipynb
index e882d089..d7d0ce38 100644
--- a/docs/notebooks/fixed_flat_app.ipynb
+++ b/docs/notebooks/fixed_flat_app.ipynb
@@ -16,7 +16,7 @@
    "outputs": [],
    "source": [
     "# importing functions\n",
-    "from ramp import User,calc_peak_time_range,yearly_pattern\n",
+    "from ramp import User, UseCase, get_day_type\n",
     "import pandas as pd"
    ]
   },
@@ -35,10 +35,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "school = User(\n",
-    "    user_name = \"School\",\n",
-    "    num_users = 1\n",
-    ")"
+    "school = User(user_name=\"School\", num_users=1)"
    ]
   },
   {
@@ -51,27 +48,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 8,
    "id": "63d2c6f2",
    "metadata": {},
    "outputs": [],
    "source": [
     "indoor_bulb = school.add_appliance(\n",
-    "    name = \"Indoor Light Bulb\",\n",
-    "    number = 10,\n",
-    "    power  = 25,\n",
-    "    num_windows = 1,\n",
-    "    func_time = 210,\n",
-    "    time_fraction_random_variability = 0.2,\n",
-    "    func_cycle = 60,\n",
-    "    fixed = \"yes\",\n",
-    "    flat = \"yes\",\n",
-    "    \n",
+    "    name=\"Indoor Light Bulb\",\n",
+    "    number=10,\n",
+    "    power=25,\n",
+    "    num_windows=1,\n",
+    "    func_time=210,\n",
+    "    time_fraction_random_variability=0.2,\n",
+    "    func_cycle=60,\n",
+    "    fixed=\"yes\",  # This means all the 'n' appliances of this kind are always switched-on together\n",
+    "    flat=\"yes\",  # This means the appliance is not subject to random variability in terms of total usage time\n",
     ")\n",
     "indoor_bulb.windows(\n",
-    "    window_1 = [1200,1440], # from 20:00 to 24:00\n",
-    "    window_2 = [0,0], \n",
-    "    random_var_w = 0.35,\n",
+    "    window_1=[1200, 1440],  # from 20:00 to 24:00\n",
+    "    window_2=[0, 0],\n",
+    "    random_var_w=0.35,\n",
     ")"
    ]
   },
@@ -80,106 +76,119 @@
    "id": "2928b830",
    "metadata": {},
    "source": [
-    "### Defining the peak time range using the calc_peak_time_range"
+    "### Initialize the usecase (it defines the peak time range and simulation time)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 9,
    "id": "0ce9c747",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You will simulate 7 day(s) from 2023-01-01 00:00:00 until 2023-01-08 00:00:00\n"
+     ]
+    }
+   ],
    "source": [
-    "peak_time_range = calc_peak_time_range(\n",
-    "    user_list = [school]\n",
-    ")"
+    "school_case = UseCase(users=[school], date_start=\"2023-01-01\")\n",
+    "school_case.initialize(num_days=7)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "46e980bc",
+   "id": "e6f59618",
    "metadata": {},
    "source": [
-    "### Defining the yearly patterns\n",
-    "By default the yearly_pattern function returns weekdays (defined by 0) /weekends (defined by 1) division"
+    "### Generating a profile for the 1st week of the year\n",
+    "\n",
+    "From the usecase directly"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "5dfe9a4d",
+   "execution_count": 10,
+   "id": "18a0760d-4864-47e3-b2c1-30952bc2410a",
    "metadata": {},
    "outputs": [],
    "source": [
-    "year_behaviour = yearly_pattern()"
+    "first_week = school_case.generate_daily_load_profiles(flat=True)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "e6f59618",
+   "id": "779b95d7-2fc4-442e-858a-02dd228fcfad",
    "metadata": {},
    "source": [
-    "### Generating a profile for the 1st week of the year"
+    "or from the user"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 11,
    "id": "bb051491",
    "metadata": {},
    "outputs": [],
    "source": [
     "first_week = []\n",
     "\n",
-    "for i in range(7):\n",
+    "for day_idx, day in enumerate(school_case.days):\n",
     "    first_week.extend(\n",
     "        school.generate_single_load_profile(\n",
-    "            prof_i = i, # the day to generate the profile\n",
-    "            peak_time_range = peak_time_range,\n",
-    "            day_type = year_behaviour[i]\n",
+    "            prof_i=day_idx,  # the day to generate the profile\n",
+    "            peak_time_range=school_case.peak_time_range,\n",
+    "            day_type=get_day_type(day),\n",
     "        )\n",
-    "    )\n",
-    "    "
+    "    )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "a45ddd97",
+   "execution_count": 12,
+   "id": "b28eb307-d5db-47fd-9e45-e3e746f628d6",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:>"
+       "<Axes: >"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "first_week = pd.DataFrame(first_week,columns=[\"household\"])\n",
+    "first_week = pd.DataFrame(first_week, columns=[\"household\"])\n",
     "first_week.plot()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f811d970-650d-4342-9dee-8d80ca20ddae",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -193,7 +202,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/Untitled.ipynb b/docs/notebooks/model_parameters.ipynb
similarity index 99%
rename from docs/notebooks/Untitled.ipynb
rename to docs/notebooks/model_parameters.ipynb
index 53ea2381..396915b3 100644
--- a/docs/notebooks/Untitled.ipynb
+++ b/docs/notebooks/model_parameters.ipynb
@@ -79,7 +79,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -93,7 +93,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/multi_cycle.ipynb b/docs/notebooks/multi_cycle.ipynb
index ba436a15..330ff16b 100644
--- a/docs/notebooks/multi_cycle.ipynb
+++ b/docs/notebooks/multi_cycle.ipynb
@@ -47,7 +47,7 @@
    "outputs": [],
    "source": [
     "# importing functions\n",
-    "from ramp import User,calc_peak_time_range,yearly_pattern\n",
+    "from ramp import User, UseCase, get_day_type\n",
     "import pandas as pd"
    ]
   },
@@ -71,15 +71,15 @@
    "source": [
     "# creating the appliance\n",
     "fridge = household.Appliance(\n",
-    "    name = \"Fridge\",\n",
-    "    number = 1,\n",
-    "    power  = 200,\n",
-    "    num_windows = 1,\n",
-    "    func_time = 1400,\n",
-    "    time_fraction_random_variability = 0,\n",
-    "    func_cycle = 30,\n",
-    "    fixed = \"yes\",\n",
-    "    fixed_cycle = 3, # number of cycles\n",
+    "    name=\"Fridge\",\n",
+    "    number=1,\n",
+    "    power=200,\n",
+    "    num_windows=1,\n",
+    "    func_time=1400,\n",
+    "    time_fraction_random_variability=0,\n",
+    "    func_cycle=30,\n",
+    "    fixed=\"yes\",\n",
+    "    fixed_cycle=3,  # number of cycles\n",
     ")"
    ]
   },
@@ -91,7 +91,7 @@
    "outputs": [],
    "source": [
     "# setting the functioning windows\n",
-    "fridge.windows([0,1440]) # always on during the whole year\n"
+    "fridge.windows([0, 1440])  # always on during the whole year"
    ]
   },
   {
@@ -112,26 +112,26 @@
     "# assiging the specific cycles\n",
     "# first cycle: standard cycle\n",
     "fridge.specific_cycle_1(\n",
-    "    p_11 = 200,\n",
-    "    t_11 = 20,\n",
-    "    p_12 = 5,\n",
-    "    t_12 = 10,\n",
+    "    p_11=200,\n",
+    "    t_11=20,\n",
+    "    p_12=5,\n",
+    "    t_12=10,\n",
     ")\n",
     "\n",
     "# second cycle: intermediate cycle\n",
     "fridge.specific_cycle_2(\n",
-    "    p_21 = 200,\n",
-    "    t_21 = 15,\n",
-    "    p_22 = 5,\n",
-    "    t_22 = 15,\n",
+    "    p_21=200,\n",
+    "    t_21=15,\n",
+    "    p_22=5,\n",
+    "    t_22=15,\n",
     ")\n",
     "\n",
     "# third cycle: intensive cycle\n",
     "fridge.specific_cycle_3(\n",
-    "    p_31 = 200,\n",
-    "    t_31 = 10,\n",
-    "    p_32 = 5,\n",
-    "    t_32 = 20,\n",
+    "    p_31=200,\n",
+    "    t_31=10,\n",
+    "    p_32=5,\n",
+    "    t_32=20,\n",
     ")"
    ]
   },
@@ -152,10 +152,7 @@
    "source": [
     "# defining cycle behaviour\n",
     "fridge.cycle_behaviour(\n",
-    "    cw11 = [480,1200],\n",
-    "    cw21 = [300,479],\n",
-    "    cw31 = [0,229],\n",
-    "    cw32 = [1201,1440]\n",
+    "    cw11=[480, 1200], cw21=[300, 479], cw31=[0, 229], cw32=[1201, 1440]\n",
     ")"
    ]
   },
@@ -169,15 +166,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "id": "9b9c1541",
    "metadata": {},
    "outputs": [],
    "source": [
-    "peak_time_range = calc_peak_time_range(\n",
-    "    user_list = [household]\n",
-    ")\n",
-    "year_behaviour = yearly_pattern()"
+    "use_case = UseCase(users=[household])\n",
+    "peak_time_range = use_case.calc_peak_time_range()"
    ]
   },
   {
@@ -188,21 +183,21 @@
    "outputs": [],
    "source": [
     "# days to build the profiles\n",
-    "days = {\n",
-    "    \"May-16\": 136,\n",
-    "    \"August-16\": 228,\n",
-    "    \"December-16\": 350,\n",
-    "}\n",
+    "days = [\n",
+    "    \"2020-05-16\",\n",
+    "    \"2020-08-16\",\n",
+    "    \"2020-12-16\",\n",
+    "]\n",
     "\n",
-    "profiles = pd.DataFrame(index=range(0,1440),columns = days.keys())\n",
+    "profiles = pd.DataFrame(index=range(0, 1440), columns=days)\n",
     "\n",
-    "for day,i in days.items():\n",
+    "for day_idx, day in enumerate(days):\n",
     "    profile = household.generate_single_load_profile(\n",
-    "        prof_i = i, # the day to generate the profile\n",
-    "        peak_time_range = peak_time_range,\n",
-    "        day_type = year_behaviour[i]\n",
+    "        prof_i=day_idx,  # the day to generate the profile\n",
+    "        peak_time_range=peak_time_range,\n",
+    "        day_type=get_day_type(day),\n",
     "    )\n",
-    "    \n",
+    "\n",
     "    profiles[day] = profile"
    ]
   },
@@ -216,18 +211,18 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "      May-16  August-16  December-16\n",
-      "0      0.001      0.001        0.001\n",
-      "1      0.001      0.001        0.001\n",
-      "2      0.001      5.000        0.001\n",
-      "3      0.001      5.000        0.001\n",
-      "4      0.001      5.000        0.001\n",
-      "...      ...        ...          ...\n",
-      "1435   5.000      5.000      200.000\n",
-      "1436   5.000    200.000      200.000\n",
-      "1437   5.000    200.000      200.000\n",
-      "1438   5.000    200.000      200.000\n",
-      "1439   5.000    200.000      200.000\n",
+      "      2020-05-16  2020-08-16  2020-12-16\n",
+      "0          0.001       5.000       0.001\n",
+      "1          0.001       5.000       0.001\n",
+      "2          0.001       5.000       0.001\n",
+      "3          5.000       5.000       0.001\n",
+      "4          5.000       5.000       0.001\n",
+      "...          ...         ...         ...\n",
+      "1435       0.001       0.001       0.001\n",
+      "1436       0.001       0.001       0.001\n",
+      "1437       0.001       0.001       0.001\n",
+      "1438       0.001       0.001       0.001\n",
+      "1439       0.001       0.001       0.001\n",
       "\n",
       "[1440 rows x 3 columns]\n"
      ]
@@ -240,7 +235,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "fff8c4b4",
+   "id": "2143c46d-b324-4844-ae06-f55d81d48bce",
    "metadata": {},
    "outputs": [
     {
@@ -255,7 +250,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -274,7 +269,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -288,7 +283,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/occasional_use.ipynb b/docs/notebooks/occasional_use.ipynb
index 6246e1da..6cfef8c9 100644
--- a/docs/notebooks/occasional_use.ipynb
+++ b/docs/notebooks/occasional_use.ipynb
@@ -7,21 +7,21 @@
    "source": [
     "# Appliances with occasional use\n",
     "\n",
-    "There are some appliances that are occasionally included in the mix pf\n",
-    "appliances that the user switches-on during the day. For example, an iron,\n",
+    "There are some appliances that are occasionally included in the mix of\n",
+    "appliances that the user switches on during the day. For example, an iron,\n",
     "a stereo, printers, etc.\n",
     "\n",
     "Within RAMP, the user may specify the probability of using an appliance\n",
-    "on the daily mix with a parameter called, **occasional_use**.\n",
+    "on the daily mix with a parameter called **occasional_use**.\n",
     "\n",
-    "When :code:`occasional_use = 0`, the appliance is always present in the mix, and\n",
-    "when :code:`occasional_use = 1`,  the appliance is never present. Any in-between\n",
-    "values will lead to a probablistic calculation to decide whether the appliance\n",
+    "When `occasional_use = 0`, the appliance is always present in the mix, and\n",
+    "when `occasional_use = 1`,  the appliance is never present. Any in-between\n",
+    "values will lead to a probabilistic calculation to decide whether the appliance\n",
     "is used or not on a given day.\n",
     "\n",
-    "The following example, investigates the effect of this parameter by modelling two user category:\n",
-    "* A household that uses a computer with ocationally\n",
-    "* A school that uses the computer everyday"
+    "The following example investigates the effect of this parameter by modelling two user categories:\n",
+    "* A household that uses a computer occasionally\n",
+    "* A school that uses the computer every day"
    ]
   },
   {
@@ -32,7 +32,7 @@
    "outputs": [],
    "source": [
     "# importing functions\n",
-    "from ramp import User,calc_peak_time_range,yearly_pattern\n",
+    "from ramp import User, UseCase, get_day_type\n",
     "import pandas as pd"
    ]
   },
@@ -41,7 +41,7 @@
    "id": "0a6ccd54",
    "metadata": {},
    "source": [
-    "### Creating a user category and appliances"
+    "### Creating user categories and appliances"
    ]
   },
   {
@@ -63,14 +63,14 @@
    "outputs": [],
    "source": [
     "computer_0 = household.add_appliance(\n",
-    "    name = \"Household Computer\",\n",
-    "    number = 1,\n",
-    "    power  = 50,\n",
-    "    num_windows = 1,\n",
-    "    func_time = 210,\n",
-    "    occasional_use = 0.5,  # 50% chance of occasional use,\n",
-    "    window_1 = [510,750],\n",
-    ")\n"
+    "    name=\"Household Computer\",\n",
+    "    number=1,\n",
+    "    power=50,\n",
+    "    num_windows=1,\n",
+    "    func_time=210,\n",
+    "    occasional_use=0.5,  # 50% chance of occasional use,\n",
+    "    window_1=[510, 750],\n",
+    ")"
    ]
   },
   {
@@ -81,17 +81,16 @@
    "outputs": [],
    "source": [
     "computer_1 = school.add_appliance(\n",
-    "    name = \"School Computer\",\n",
-    "    number = 1,\n",
-    "    power  = 50,\n",
-    "    num_windows = 1,\n",
-    "    func_time = 210,\n",
-    "    time_fraction_random_variability = 0.2,\n",
-    "    func_cycle = 10,\n",
-    "    occasional_use = 1, # always present in the mix of appliances,\n",
-    "    window_1 = [510,750],\n",
-    ")\n",
-    "\n"
+    "    name=\"School Computer\",\n",
+    "    number=1,\n",
+    "    power=50,\n",
+    "    num_windows=1,\n",
+    "    func_time=210,\n",
+    "    time_fraction_random_variability=0.2,\n",
+    "    func_cycle=10,\n",
+    "    occasional_use=1,  # always present in the mix of appliances,\n",
+    "    window_1=[510, 750],\n",
+    ")"
    ]
   },
   {
@@ -103,7 +102,7 @@
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:>"
+       "<Axes: >"
       ]
      },
      "execution_count": 5,
@@ -112,34 +111,30 @@
     },
     {
      "data": {
-      "image/png": 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T2xFeCyCx9e5ogLvvNrM5wINAGbDY3TeY2exk/yJgBXA20ATsAC5MDh8E3Jas3OkF/MrdHyh+GyIi0p4Ogx7A3VeQC/P8bYvybjtwaYHj1gOndrFGCSjimnOP2JSEoFfGSqYiLE2M0IPEpqAXEQlOQS+ZiDjLEbAlCUJBLyISnIJeMqYJbpHupqAXEQlOQS+ZCPkWCPFakiAU9CIiwSnoJVMR1qBbhCYkNAW9iEhwCnrJRMj57Ig9SQgKeslUhEmPCD1IbAp6EZHgFPQiRRJxyajEoKAXEQlOQS+ZirA0MUALEpyCXkQkOAW9ZCLi8sqIPUkMCnoRkeAU9JKpCNPbEXqQ2BT0komISxHjdSRRKOhFRIJT0EumIixNjLBEVGJT0IuIBKegl0xEXIroEZuSEBT0IiLBKeglUxGmtyP0ILEp6EVEglPQSyYizmZH7EliUNCLiASnoJdMWYA3EOj5HUh0qYLezCaZ2Ytm1mRmcwvsNzNbkOxfb2Y1yfbjzexRM9toZhvM7LJiNyA9U8SliAFbkiA6DHozKwMWApOBEcA0MxvRZthkYFjyMQu4Odm+G/jv7v5RYCxwaYFjRUSkG6U5o68Dmtx9s7vvBJYBU9uMmQos9ZyngP5mNsjdt7r7swDu/ldgIzC4iPVLTxdh3kPrK6XEpQn6wcCWvPvNfDCsOxxjZlXAqcDThR7EzGaZWaOZNba0tKQoS0RE0kgT9IVOV9rORh5wjJn1Be4BLnf3vxR6EHe/xd1r3b22srIyRVnSk0Wczo741ssSQ5qgbwaOz7s/BHg97RgzKycX8g3ufu/BlyoiIgcjTdCvBoaZ2VAzOww4H1jeZsxyYEay+mYssN3dt1ru/Vt/AWx09+uLWrmEEGF2O0IPElvvjga4+24zmwM8CJQBi919g5nNTvYvAlYAZwNNwA7gwuTw8cB04E9mtjbZ9h13X1HULkREpF0dBj1AEswr2mxblHfbgUsLHPckOuGRAkKuOY/Yk4SgV8ZKpiJcnSlACxKcgl5EJDgFvWQk3jxHvI4kCgW9iEhwCnrJVITp7QjvwCmxKehFRIJT0EsmIi6vjNiTxKCgFxEJTkEvmYqwBj1CDxKbgl5EJDgFvWQi4nS23qZYSpWCXjIVYWliz+9AolPQi4gEp6CXTERcihixJ4lBQS8iEpyCXjIVYWlihB4kNgW9iEhwCnrJhAec0I7XkUShoBcRCU5BL5mKML0d4bUAEpuCXkQkOAW9ZCLifHbE5x0kBgW9ZCvCrEeEHiQ0Bb2ISHAKeslExFmOiD1JDAp6EZHgFPSSqQhLE3t+BxKdgl5EJDgFvWRCV2MSOXQU9CIiwaUKejObZGYvmlmTmc0tsN/MbEGyf72Z1eTtW2xm28zsuWIWLjFEeItfi9CEhNZh0JtZGbAQmAyMAKaZ2Yg2wyYDw5KPWcDNefuWAJOKUayIiHRemjP6OqDJ3Te7+05gGTC1zZipwFLPeQrob2aDANz9CeCdYhYtAQScotc6eilVaYJ+MLAl735zsq2zYw7IzGaZWaOZNba0tHTmUOnBIkx6ROhBYksT9IV+jtueu6QZc0Dufou717p7bWVlZWcOFRGRA0gT9M3A8Xn3hwCvH8QYkVYRZzm0ZFRKVZqgXw0MM7OhZnYYcD6wvM2Y5cCMZPXNWGC7u28tcq0iInIQOgx6d98NzAEeBDYCv3L3DWY228xmJ8NWAJuBJuDnwDf2HW9mdwKrgJPNrNnMLi5yD9KDRViaGKAFCa53mkHuvoJcmOdvW5R324FL2zl2WlcKFBGRrtErYyUTEZciRuxJYlDQi4gEp6CXTEWY347Qg8SmoJdMRFyKGK8jiUJBLyISnIJeMhVh1iPCVbIkNgW9iEhwCnrJRMSliB6xKQlBQS8iEpyCXjIVYWlihB4kNgW9iEhwCnrJRMTZ7Ig9SQwKehGR4BT0kjFNcIt0NwW9ZCLiUsSALUkQCnoRkeAU9JKpCEsTI1wlS2JT0IuIBKegl0zEnM6O2ZX0fAp6EZHgFPSSqQiz2xF6kNgU9CIiwSnoJRsBp7O1jl5KlYJeMhVhaWKAFiQ4Bb2ISHAKesmEB5y7ideRRKGgFxEJTkEvmYowvW0hupDIFPQiIsEp6CUTEZciRuxJYlDQi4gElyrozWySmb1oZk1mNrfAfjOzBcn+9WZWk/ZY+ccWYQ16hB4ktg6D3szKgIXAZGAEMM3MRrQZNhkYlnzMAm7uxLEiItKNeqcYUwc0uftmADNbBkwFns8bMxVY6rnrwz1lZv3NbBBQleLYovnMjU/y3q493fGlpcjefX931iUU3SVLGzm8t2ZD5eAdfeRh/Gr2uKJ/3TRBPxjYkne/GTg9xZjBKY8FwMxmkftrgBNOOCFFWR90UmUfdu7Ze1DHyqFXX1HO8OOOyrqMLqutOprPnTqY93brJEO6pl9Febd83TRBX2gGsu36gvbGpDk2t9H9FuAWgNra2oNav3DD+acezGEiXTLwqAqu/5fqrMsQaVeaoG8Gjs+7PwR4PeWYw1IcKyIi3SjNhOJqYJiZDTWzw4DzgeVtxiwHZiSrb8YC2919a8pjRUSkG3V4Ru/uu81sDvAgUAYsdvcNZjY72b8IWAGcDTQBO4ALD3Rst3QiIiIFmZfgy/lqa2u9sbEx6zJERHoMM1vj7rWF9mktmIhIcAp6EZHgFPQiIsEp6EVEgivJJ2PNrAV49SAPHwC8VcRyuovqLL6eUqvqLL6eUmt31vkRd68stKMkg74rzKyxvWeeS4nqLL6eUqvqLL6eUmtWdWrqRkQkOAW9iEhwEYP+lqwLSEl1Fl9PqVV1Fl9PqTWTOsPN0YuIyP4intGLiEgeBb2ISHBhgr6ULkJuZseb2aNmttHMNpjZZcn2Y8zs92b278nno/OO+XZS+4tm9ulDXG+Zmf2bmT1Q4nX2N7O7zeyF5Hs7rhRrNbP/mvy7P2dmd5pZRanUaWaLzWybmT2Xt63TtZnZaWb2p2TfArPiXiK9nTqvS/7t15vZfWbWvxTrzNv3P8zMzWxA1nXi7j3+g9xbIG8CTiR3sZN1wIgM6xkE1CS3jwJeIndx9J8Ac5Ptc4Frk9sjkpoPB4YmvZQdwnr/G3AH8EByv1TrvA34anL7MKB/qdVK7vKZLwNHJPd/BVxQKnUC9UAN8Fzetk7XBjwDjCN3FbnfAZMPQZ1nAb2T29eWap3J9uPJvT37q8CArOuMckbfegFzd98J7LsIeSbcfau7P5vc/iuwkVwATCUXViSfz01uTwWWufv77v4yuff1rzsUtZrZEOCfgVvzNpdinf3I/VL9AsDdd7r7f5RireSu83CEmfUGjiR3VbWSqNPdnwDeabO5U7WZ2SCgn7uv8lxKLc07ptvqdPeH3H3fVeWfInfFupKrM/G/gSvZ/9KpmdUZJejbuzh55sysCjgVeBo4znNX3iL5PDAZlmX9N5D7gcy/qnop1nki0AL8MplmutXM+pRare7+Z+CnwGvAVnJXW3uo1Opso7O1DU5ut91+KF1E7swXSqxOMzsH+LO7r2uzK7M6owR96ouQH0pm1he4B7jc3f9yoKEFtnV7/WY2Bdjm7mvSHlJg26H6Pvcm9yfyze5+KvAuuWmG9mT1PT2a3JnbUODDQB8z+8qBDimwLfOf3UR7tWVas5ldBewGGvZtaqeeQ16nmR0JXAVcXWh3O/V0e51Rgj7NBcwPKTMrJxfyDe5+b7L5zeTPNJLP25LtWdU/HjjHzF4hN901wcxuL8E69z12s7s/ndy/m1zwl1qt/wS87O4t7r4LuBf4eAnWma+ztTXzn9Mm+du7nZnNBKYAX06mOUqtzpPI/Se/Lvm9GgI8a2YfyrLOKEFfUhchT54x/wWw0d2vz9u1HJiZ3J4J/CZv+/lmdriZDQWGkXtyplu5+7fdfYi7V5H7nj3i7l8ptTqTWt8AtpjZycmmicDzJVjra8BYMzsy+TmYSO45mlKrM1+nakumd/5qZmOTHmfkHdNtzGwS8C3gHHff0ab+kqjT3f/k7gPdvSr5vWomtzDjjUzrLOYzu1l+kLs4+Uvknsm+KuNaPkHuT6/1wNrk42zgWOBh4N+Tz8fkHXNVUvuLFPkZ95Q1/xf+c9VNSdYJVAONyff1fuDoUqwV+AHwAvAc8H/JrbIoiTqBO8k9d7CLXAhdfDC1AbVJf5uAm0heZd/NdTaRm+Pe9zu1qBTrbLP/FZJVN1nWqbdAEBEJLsrUjYiItENBLyISnIJeRCQ4Bb2ISHAKehGR4BT0IiLBKehFRIL7/yNkIPN2t03HAAAAAElFTkSuQmCC",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "# Checking the maximum profile of the two appliances\n",
     "\n",
-    "max_profile_c1 = pd.DataFrame(computer_0.maximum_profile,columns=[computer_0.name])\n",
-    "max_profile_c2 = pd.DataFrame(computer_1.maximum_profile,columns=[computer_1.name])\n",
+    "max_profile_c1 = pd.DataFrame(computer_0.maximum_profile, columns=[computer_0.name])\n",
+    "max_profile_c2 = pd.DataFrame(computer_1.maximum_profile, columns=[computer_1.name])\n",
     "\n",
     "max_profile_c1.plot()\n",
     "max_profile_c2.plot()"
@@ -158,12 +153,18 @@
    "execution_count": 6,
    "id": "320b7296",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You will simulate 5 day(s) from 2023-12-01 00:00:00 until 2023-12-06 00:00:00\n"
+     ]
+    }
+   ],
    "source": [
-    "peak_time_range = calc_peak_time_range(\n",
-    "    user_list = [household,school]\n",
-    ")\n",
-    "year_behaviour = yearly_pattern()"
+    "use_case = UseCase(users=[household, school])\n",
+    "use_case.initialize(5)"
    ]
   },
   {
@@ -174,149 +175,70 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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mYLdmYElkVYqISBfV9AO/CTjbzNYCZwePRbC09ZtWG7jEVFnzgbv7cmB5cL8VmBZ+SZIGntMlsDTZLRZlr0pftLmj/OYQU7u5xJxGYkrvoPZsSSEFuEQgBd0Is19ATSgSUwpwEZGEUoBL5HpiVfruzpp7W2x3dSOU5FCAS++gMJYUUoBL6FIxnWzWC2govcSVAlxEJKEU4BIJr2AoPTn9wMucTrbYUPqK2sD16yHxpk+ohC+OTQ5Vtd+0Fd9FpAYU4CIiCaUAl4iEOJS+lFXpi15iVzCUXh1XJOYU4NI7KI0lhRTgErpCsxGqG6FIuBTgIiIJpQCXSOROJ1v+ijxdVrWvRTdCTScrMacAl95BbeCSQgpwiUDK2ozVBi4xpQCXiBSYWbC7I/I0uwRPULwbYfhMIzEl5vQJFRFJKAW4hC6eixpXcY0ex7cjggJcRCSxFOASkUpWgf9A11XpixwbQSN48ZXuRWpLAS69g8JYUkgBLj2mqgj13Ds9uiq9ppOVmFKAi4gklAJcIuE590scSl9oRR7LbgMvMJQ+rJU4tSq9JIgCXHoJhbGkjwJcQhfPfuCV03SyElcKcIlGoWHx3R1SwSo+eV4uNOpGKHGnABcRSaiiAW5mDWb2n2b2RzN7wcy+HWwfYmaPmNna4HZw9OVKIsSxyaGqq+kYvh8RSrsCfx84y91PBsYC081sIjAXWObuxwLLgsciItJDiga4Z+wMHvYN/jkwA1gYbF8IzIyiQEmqalel7zydbM9TG7jEXUlt4GZWZ2ZrgE3AI+6+EjjM3TcCBLfDChx7mZm1mFnL5s2bQypbRERKCnB33+/uY4ERwAQzO6nUF3D3+e7e5O5NQ4cOrbBMSZJIVqWveih9ia+uVeklQcrqheLu24DlwHTgHTMbDhDcbgq7OBERKayUXihDzeyQ4H5/4BPAy8BDQHOwWzOwJKIaJYE8z5Jq5VzH5vYdL2EofcH26sqH0rvawCXm6kvYZziw0MzqyAT+fe6+1MxWAPeZ2SXAW8CFEdYpUh2FsaRQ0QB39+eAcXm2twLToihKJFbUBi4xpZGYEo0yhtJnTwD4wTH5z1XwHGWUVqrCMxyKxIMCXEQkoRTgErp4zkZYzar0cXw/IgpwEZHEUoBLJLyMofTWcWt5tna+X+AcUUwn20e/HhJv+oSKiCSUAlwiEMOh9KVeouddlV5t4BJPCnARkYRSgEvkig2lbx8GX92q9IVUsSq9+oFLzCnApZdQGEv6KMAldJa2ftNpez+SGgpwiUjpV7zW6RY6N7eU0o0w/CtsrcgjcacAFxFJKAW4hC6W161VXE27uhFKTCnARUQSSgEu0ahoOtkCx5QynWwUQ+nVBi4xpwAXEUkoBbhEIIZD6atYlV7dCCWuFOAiIgmlAJdI5Ewn60WG0rcPjy9wfCmr0hdW+VB6tYFL3CnAJXTxXJGncq4mFIkpBbj0DrqalhRSgEtESl+Rhw9aLfIfU6NV6WM6JEmkgwJcUkGNHNIbKcAlAimLU7WBS0wpwEVEEkoBLtEotLpON7sWHEpfq7ZoffEpMacAFxFJKAW4hK7QdatWpRcJlwJcRCShFOASka7t2YVXpe+6rdxV6Uupo7Tds4fS69dD4q3oJ9TMjjKz35nZS2b2gpldHWwfYmaPmNna4HZw9OVKMqSsyUHdCCWmSrnE2Ad81d2PByYCXzazE4C5wDJ3PxZYFjwWiSn1KJH0KRrg7r7R3VcH93cALwFHAjOAhcFuC4GZEdUoCeRlDKW3ouGqboQi+ZTVyGdmI4FxwErgMHffCJmQB4YVOOYyM2sxs5bNmzdXWa6IiLQrOcDNbCDwAPAVd99e6nHuPt/dm9y9aejQoZXUKAkTy+lkq7maVhu4xFRJAW5mfcmE9z3u/mCw+R0zGx48PxzYFE2JIiKSTym9UAz4KfCSu38/66mHgObgfjOwJPzyJLEqWJU+W7mr0kdBK/JI3NWXsM9kYBbwvJmtCbb9d+Am4D4zuwR4C7gwkgpFRCSvogHu7r+ncDeAaeGWI2lgsWwzrvxq2uPYpi+CRmJKZEqfTTDfs+XORhhFY4eaUCTuFOCSCrpGlt5IAS5STCybhEQU4NJbqDlEUkgBLpEoayh9nnAtd1X6KKgNXOJOAS4iklAKcAldLIfSVyVt70fSQgEuvYSaQyR9FOASjXKG0ufZVuyYnqA2cIk7BbiISEIpwCUCMWwz1nSykkIKcIlc0eaQmM5GqL7jEncKcBGRhFKAS+jS1o3Q1YQiMaUAl15CzSGSPgpwiUg5q9J35UX36An69ZB40ydURCShFOASuvQ1VrTVugCRvBTg0juoS6CkkAJcIuFVBmYc+oFbH4W+xJsCXEQkoRTgEoE49puuZih9eFWIhEkBLhGptvmhvFXpo2Ap/DpW0kUBLiKSUApwCZ2lbeh52t6PpIYCXHoHdSOUFFKAS0RCDMyadSPUr4fEmz6hIiIJpQCX0HW+XrYC29uV1MLsuXdKb5Yus/26/cQ5L6Ch9BJPCnDpJdQGLulTNMDN7E4z22Rmf8raNsTMHjGztcHt4GjLlMSxrtPJFroWLhStbZ517W65e5feLF5mcLef2NQLXOKvlCvwBcD0TtvmAsvc/VhgWfBYRER6UNEAd/cngK2dNs8AFgb3FwIzwy1Lki1l/aZT9nYkPSptAz/M3TcCBLfDCu1oZpeZWYuZtWzevLnCl5OkKboSfUnnCITRjbCCc5hlN+OIxE/kX2K6+3x3b3L3pqFDh0b9ciIivUalAf6OmQ0HCG43hVeSJJ1WpRfpGZUG+ENAc3C/GVgSTjkiUVFTiKRPKd0IFwErgOPMbL2ZXQLcBJxtZmuBs4PHIqHyokOAomWp+1tC0qa+2A7u/rkCT00LuRYRESmDRmJK6DpftyZ/KL2uwyWeFODSO2g6WUkhBbhEI4Sh9B1t4FajofQWTn92kagowEWKUTdCiSkFuIhIQinAJSIhDqUPpRmjsnOoCUXiTAEuIpJQCnAJXfqGv6Tt/UhaKMCld1A3QkkhBbhEI4TAzOlGWAOZboQi8aUAFxFJKAW4hC51Q+nVD1xiSgEuIpJQCnCJRHb/6UqH0udcu9dkVXpTP3CJNQW4SFFqQpF4UoCLiCSUAlyiEUo3wvDOVemq9FqKTeJMAS4iklAKcAld6obSqxuhxJQCXEQkoRTgEpEQh9LXaDpZDaWXuFOAi4gklAJcQpe2NnBP2fuR9FCAS2yFOhthJd0INRJTYk4BLiKSUApwCV3qrlnVjVBiSgEuIpJQCnCJhlX/0ar1qvSZboSp+3tCUkQBLiKSUApwiUDa2ozT9n4kLRTgIiIJVVWAm9l0M3vFzF4zs7lhFSUC2f3AQzhZRf3Ade0t8VZxgJtZHXAb8EngBOBzZnZCWIWJiEj36qs4dgLwmrv/GcDMfgnMAF4Mo7BsK+66juF/+U3Yp5WIHOU7cx63BdcJu2nIu/+wQfm317P/gwd9Mh/Vtrp+APSty732qOtT4Aq7Pv+5C2rf3+o6NjWu/RVv3vBoeecR6WT3uf/K8aedG+o5qwnwI4G/ZD1eD5zWeSczuwy4DODoo4+u6IXqBh3O1gNHVXSs9LytfIiDJ1zMrz59Kv949ypGN/0dT770Go/Wnc/0IYczZOABHDPkQH62Yh1vb9vNzZ8Z3XHs//jU8ax9ZydHHNKfNRsu55g9axk+5rNwzGQ482scfuql/NcVf+MfP/Yhmo4ZzPb39gJw7omHM/+JP/P3TUflFnPWPHj253D0JPgvP4GDR3Rf/PSbYNARcNx5jKQPjw2fw9CdL+fZUY0rUp5BDQNDP6d5haPMzOxC4Fx3/4fg8SxggrtfWeiYpqYmb2lpqej1RER6KzNb5e5NnbdX8yXmeiD7cmcEsKGK84mISBmqCfBngGPNbJSZHQB8FngonLJERKSYitvA3X2fmV0B/BaoA+509xdCq0xERLpVzZeYuPu/Af8WUi0iIlIGjcQUEUkoBbiISEIpwEVEEkoBLiKSUBUP5Knoxcw2A+sqPLwR2BJiOVFJSp2QnFpVZ/iSUqvqzDjG3Yd23tijAV4NM2vJNxIpbpJSJySnVtUZvqTUqjq7pyYUEZGEUoCLiCRUkgJ8fq0LKFFS6oTk1Ko6w5eUWlVnNxLTBi4iIrmSdAUuIiJZFOAiIgmViACP0+LJZnaUmf3OzF4ysxfM7Opg+xAze8TM1ga3g7OO+XpQ+ytmFu6aSsXrrTOzZ81saVzrNLNDzOx+M3s5+LlOimmd/y34b/4nM1tkZg1xqdPM7jSzTWb2p6xtZddmZqea2fPBcz80q2A16PLr/F/Bf/vnzOzXZnZIressVGvWc18zMzezxprW6u6x/kdmqtrXgQ8BBwB/BE6oYT3DgVOC+wcBr5JZ1Pl/AnOD7XOBm4P7JwQ19wNGBe+lrgfr/SfgF8DS4HHs6gQWAv8Q3D8AOCRudZJZQvANoH/w+D5gTlzqBKYApwB/ytpWdm3AfwKTAAP+HfhkD9R5DlAf3L85DnUWqjXYfhSZabTXAY21rDUJV+Adiye7+x6gffHkmnD3je6+Ori/A3iJzC/3DDJBRHA7M7g/A/ilu7/v7m8Ar5F5T5EzsxHAp4A7sjbHqk4zG0TmF+WnAO6+x923xa3OQD3Q38zqgQPJrEAVizrd/Qlga6fNZdVmZsOBQe6+wjPJ87OsYyKr090fdvd9wcOnyazuVdM6C9Ua+N/AteQujFqTWpMQ4PkWTz6yRrXkMLORwDhgJXCYu2+ETMgDw4Ldaln/D8h80NqytsWtzg8Bm4G7gqaeO8xsQNzqdPe3ge8BbwEbgXfd/eG41dlJubUdGdzvvL0nfYnMVSrEsE4zOx94293/2OmpmtSahADP115U876PZjYQeAD4irtv727XPNsir9/MPg1scvdVpR6SZ1tP/JzryfyZ+mN3Hwf8PzJ/7hdSq5/nYDJXWaOAI4ABZvaF7g7Js63mn9tAodpqWrOZzQP2Afe0bypQT60+AwcC84Bv5ns6z7bIa01CgMdu8WQz60smvO9x9weDze8Efy4R3G4Ktteq/snA+Wb2Jplmp7PM7OcxrHM9sN7dVwaP7ycT6HGr8xPAG+6+2d33Ag8Cp8ewzmzl1raeD5ovsrdHzsyagU8Dnw+aGuJY54fJ/A/8j8Hv1QhgtZkdXqtakxDgsVo8OfgG+afAS+7+/aynHgKag/vNwJKs7Z81s35mNgo4lsyXGpFy96+7+wh3H0nmZ/aYu38hhnX+FfiLmR0XbJoGvBi3Osk0nUw0swODz8A0Mt9/xK3ObGXVFjSz7DCzicF7nJ11TGTMbDpwHXC+u+/qVH9s6nT35919mLuPDH6v1pPp0PDXmtUa9je3UfwDziPT2+N1YF6NazmDzJ9AzwFrgn/nAYcCy4C1we2QrGPmBbW/QgTflpdQ81Q+6IUSuzqBsUBL8DNdDAyOaZ3fBl4G/gTcTabHQSzqBBaRaZvfSyZYLqmkNqApeH+vA7cSjNaOuM7XyLQft/8+/Z9a11mo1k7Pv0nQC6VWtWoovYhIQiWhCUVERPJQgIuIJJQCXEQkoRTgIiIJpQAXEUkoBbiISEIpwEVEEur/AxsVouwL1f22AAAAAElFTkSuQmCC",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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nu+9VtYFLmIqaD9zdlwPLo+1GYGL8JUln4lhJad7U7JLv1EwTS5HdCFsEdztD6V1NKBI2jcQUEUkpBbgkIuih9HlnI1Q3QkkHBbgErZTFIMp+z+hR3QgldApwSVTJQ+mbuhHmOy774FK0041Q990SOgW4iEhKKcAlEeW2gSfb7JyvG6Gmk5V0UIBL0CrQBK6h9JIaCnBJVKZfdfH2BXcBQ+kTm05WAS5hU4BLIoKOvjztM61qVzdCCZQCXIJW2SYUkbApwCVRmW6Epadw/m6EFvuq9IW/u0hlKcBFRFJKAS6JUDdCkeQpwCVolWkDz1AvFAmdAlwS5aWtx5M1lL5juxGiofSSIgpwEZGUUoBLIoJekafA6WSbm1DUD1wCpQCXxJU1WWAhr5fVjbDl0+wmH8W2hE4BLiKSUgpwSUTQK/KoG6F0EgpwCVolVuRpom6EEjoFuCQq06acYBDGPhuhppOV9FCAi4iklAJcEhLwUPo83Qg1naykhQJcgqbpZEVyU4BLospelT7PufFPJ2u5jxUJjAJcRCSlFOCSiNiG0idyF1xYP3DXmEwJnAJcElVu9OVtQklgUWPFtqSFAlxEJKXyBriZ9TCz/zazF83sVTP7SbS/v5k9ambrosd+yZcraRH0UPoCZyPM9VQkFIXcgX8OnOHuJwIjgXPMbCwwB1jm7kOBZdFzkU5DIzEldHkD3DM+iZ52i/44MBlYEO1fAExJokBJt1K7ETZJfjpZDaWX9CqoDdzMqsxsLbAZeNTdVwID3X0TQPQ4IMe5M82swcwatmzZElPZIiJSUIC7+153HwnUAmPM7IRC38Dd57l7nbvX1dTUlFimpE1cq9In0/ycrxthjuNFAlNULxR3/xBYDpwDfGBmgwCix81xFydSiUYMDaWXtCikF0qNmR0abfcEzgTeAB4G6qPD6oElCdUoKVbqdLL7htLnW5W+yGsX0A+8rW2REHUt4JhBwAIzqyIT+A+4+1IzWwE8YGaXAe8DFyRYp4iI7CdvgLv7S8CoNvY3AhOTKErSL+h717zTyWpVekkHjcSURDmhr0qfeyi9SOgU4CIiKaUAl0QEPZQ+TzfCLqZV6SUdFOAiOagXioROAS6JKrtNuYOnk82mAJfQKcBFRFJKAS6JiGsofSLNz8VeXN0IJVAKcAlbBVsxFNsSOgW4JK7o4e5kDaXPd1zcq9K7htJLeijARURSSgEuiShn9GXy2u8Hvu8oLW8sYVOAS6LK7UaYt/kl9lXp294WCZECXEQkpRTgkpCA71+91Uae4wP+LHJAU4CL5KBeKBI6Bbgkyj3hVemN2KeTFUkLBbiISEopwCURaV6VPufxIoFRgEvQKtmgoeYUCZ0CXBKVWVKtnFXp8xyX9b9FXXi/KzRpsSq9K8AlbApwSUTQ0afZCKWTUICL5KDYltApwCVR5bYj5xuIb1bsbIStLtDiacuh9EH/HiGiABcRSSsFuCQizavS5zxeJDAKcJEc1IQioVOAS6LKbgOvZDfCwq8qUhEKcBGRlFKASyJiG0qf6Kr0CR0v0kEU4BK0Si7NpjZwCZ0CXBJV6r1rocGd7HSyCnAJW94AN7MjzewJM3vdzF41s9nR/v5m9qiZrYse+yVfrqRF2NGnboTSORRyB74H+L67HweMBf6nmQ0D5gDL3H0osCx6LtJpKLYldHkD3N03ufuaaHs78DpwBDAZWBAdtgCYklCNkmLldyPMM5QeI85uhNnUBi6hK6oN3MwGA6OAlcBAd98EmZAHBuQ4Z6aZNZhZw5YtW8osV0REmhQc4GbWB1gE/IO7f1zoee4+z93r3L2upqamlBolhYIeSq/pZKWTKCjAzawbmfC+x90finZ/YGaDotcHAZuTKVGkMtSEIqErpBeKAb8CXnf3W7Jeehioj7brgSXxlyfpV+50snleT7Aboe67JXRdCzjmNGAa8LKZrY32/W/gRuABM7sMeB+4IJEKRUSkTXkD3N2fIfeN0MR4y5HOIug28Ox+4O3cvO+7Gw/5s8iBTCMxJVHlRl9hrSPldCNsqWUTitrAJWwKcImdq9eGSIdQgMuBR90IpZNQgIvkoNiW0CnAJVGJr8gTezfCdo4VCYwCXGKnFgeRjqEAl0SkphthMceLBEYBLpKDYltCpwCXRJXdBp7n/Link1U/cEkTBbjETneuIh1DAS6JCPretcB+4M134PpWVgKlAJdEJT2UXrMRyoFMAS6x01B6kY6hAJdEqBuhSPIU4CI5qBeKhE4BLokqvxthIa/H2Y0we1sBLmFTgEvs1OAg0jEU4JKIoNvAi55ONrFKRMqiABfJQbktoStkUWORkpXdjpynj7eZFTlqqP1+4C1fVxu4hE134BI7dQMX6RgKcElE2PeuhfUD16r0EjoFuCSq7KH0hbxezFD6omYjFAmbAlxi54o+kQ6hAJdEdK5uhAF/FjmgKcBFctBITAmdAlwS1gGr0hd3xXYvoKH0kiYKcImdWhxEOoYCXBJRbhu4Fzvja3FXL/Li+i+ShEkBLkErvokkPoptCV3eADezO81ss5m9krWvv5k9ambrosd+yZYpaVVqCDYFd95+4MUmvFall06kkDvw+cA5++2bAyxz96HAsui5iIh0oLwB7u5PAdv22z0ZWBBtLwCmxFuWpF3Q967eaiPHYVqVXsJWahv4QHffBBA9Dsh1oJnNNLMGM2vYsmVLiW8naVX2ijyxN4IX3o1QJHSJf4np7vPcvc7d62pqapJ+OxGRA0apAf6BmQ0CiB43x1eSpF2mxSHke1l1I5TOodQAfxioj7brgSXxlCMSDvVCkdAV0o1wIbACONbMNpjZZcCNwFlmtg44K3ou0kpwIVhMN0IPrHaR/eRdUs3dL8zx0sSYa5FOQtPJinQMjcSURMQ3lD6B/xhoOlnpJBTgIjkotiV0CnBJVNlD6Tu8H7iG0kt6KMAldu6Bj8RUN0LpJBTgIjkotiV0CnBJVHDNEK3K0Yo8kl4KcBGRlFKAS+wcrUov0hEU4CI5qAlFQqcAl0SFF4LtdyMMvf+MSDYFuMQukdGTItKKAlwSEfRQ+uZ+4EUeLxIYBbhIDuE1/4i0pACXRAU3lF6r0ksnogCX2GW6EQZM3Qilk1CAi+Sg2JbQKcAlYaHdixe+Kr2aUCR0CnARkZRSgEvsMtPJhtwAoelkpXNQgIvkoCYUCZ0CXBIVXAjm6ZbYshuhSNgU4CIiKaUAl/iF3gZeYD/w5rtx9QOXQCnAJVHhRV/hixqH1wVSpCUFuIhISinAJXYe4H13S+pGKJ2DAlwkB8W2hE4BLokKvxuhhtJLeinARURSSgEusQt+KL2mk5VOQgEukoOaUCR0ZQW4mZ1jZm+a2dtmNieuoqTzCC8EC+8HrvtuCV3JAW5mVcBc4BvAMOBCMxsWV2EiItK+rmWcOwZ4293/CGBm9wGTgdfiKCzbiruu5vA//T7uy0pC3J1bD/qsrGscVNWlxWOsdm6D28fAX9+FmmNzHtZ0N7510ff59KFr23hdpHA7Jv0fho09O9ZrlhPgRwB/ynq+AThl/4PMbCYwE+Coo44q6Y2q+n6Jxl5Hl3SuVMa2Hbt5btfxnH3WN0o6f+roI9m8/TMuO/1oZt7dQG2/Xgw/oi9du3Rh44c7GXVUP/66Y9e+E869GWpH57/wiL/LBLg7DDgORk1r8XLVKTN54Y3f8dJnAzjo0GN52s+j996PSvoMItkO6dUn9mual/gNu5ldAJzt7n8fPZ8GjHH3WbnOqaur84aGhpLeT0TkQGVmq929bv/95fx+ugE4Mut5LbCxjOuJiEgRygnwVcBQMxtiZgcB3wYejqcsERHJp+Q2cHffY2ZXAP8PqALudPdXY6tMRETaVc6XmLj7fwL/GVMtIiJSBI3EFBFJKQW4iEhKKcBFRFJKAS4iklIlD+Qp6c3MtgDrSzy9GtgaYzlJSUudkJ5aVWf80lKr6sz4G3ev2X9nhwZ4Ocysoa2RSKFJS52QnlpVZ/zSUqvqbJ+aUEREUkoBLiKSUmkK8HmVLqBAaakT0lOr6oxfWmpVne1ITRu4iIi0lKY7cBERyaIAFxFJqVQEeEiLJ5vZkWb2hJm9bmavmtnsaH9/M3vUzNZFj/2yzvlhVPubZhbvmkr5660ysxfMbGmodZrZoWb2oJm9Ef1cxwVa5/ei/89fMbOFZtYjlDrN7E4z22xmr2TtK7o2MzvZzF6OXrvNzGJdlTpHnf8S/X//kpn91swOrXSduWrNeu0fzczNrLqitbp70H/ITFX7DnA0cBDwIjCsgvUMAk6Ktg8G3iKzqPM/A3Oi/XOAm6LtYVHN3YEh0Wep6sB6/xdwL7A0eh5cncAC4O+j7YOAQ0Ork8wSgu8CPaPnDwAzQqkTGA+cBLySta/o2oD/BsYBBvwB+EYH1DkJ6Bpt3xRCnblqjfYfSWYa7fVAdSVrTcMdePPiye6+C2haPLki3H2Tu6+JtrcDr5P5xz2ZTBARPU6JticD97n75+7+LvA2mc+UODOrBb4J3JG1O6g6zawvmX8ovwJw913u/mFodUa6Aj3NrCvQi8wKVEHU6e5PAdv2211UbWY2COjr7is8kzy/zjonsTrd/RF33xM9fZ7M6l4VrTNXrZF/Ba6i5brWFak1DQHe1uLJR1SolhbMbDAwClgJDHT3TZAJeWBAdFgl6/85mb9oX2TtC63Oo4EtwF1RU88dZtY7tDrd/c/AzcD7wCbgI3d/JLQ691NsbUdE2/vv70iXkrlLhQDrNLPzgD+7+4v7vVSRWtMQ4G21F1W876OZ9QEWAf/g7h+3d2gb+xKv38y+BWx299WFntLGvo74OXcl82vq/3X3UcCnZH7dz6VSP89+ZO6yhgCHA73N7JL2TmljX8X/3kZy1VbRms3sGmAPcE/Trhz1VOrvQC/gGuDatl5uY1/itaYhwINbPNnMupEJ73vc/aFo9wfRr0tEj5uj/ZWq/zTgPDN7j0yz0xlm9psA69wAbHD3ldHzB8kEemh1ngm86+5b3H038BBwaoB1Ziu2tg3sa77I3p84M6sHvgVcHDU1hFjnl8n8B/zF6N9VLbDGzL5UqVrTEOBBLZ4cfYP8K+B1d78l66WHgfpoux5YkrX/22bW3cyGAEPJfKmRKHf/obvXuvtgMj+zx939kgDr/AvwJzM7Nto1EXgttDrJNJ2MNbNe0d+BiWS+/witzmxF1RY1s2w3s7HRZ5yedU5izOwc4GrgPHffsV/9wdTp7i+7+wB3Hxz9u9pApkPDXypWa9zf3CbxBziXTG+Pd4BrKlzL6WR+BXoJWBv9ORc4DFgGrIse+2edc01U+5sk8G15ATVPYF8vlODqBEYCDdHPdDHQL9A6fwK8AbwC3E2mx0EQdQILybTN7yYTLJeVUhtQF32+d4DbiUZrJ1zn22Taj5v+Pf1bpevMVet+r79H1AulUrVqKL2ISEqloQlFRETaoAAXEUkpBbiISEopwEVEUkoBLiKSUgpwEZGUUoCLiKTU/weCzR2ryTRWqgAAAABJRU5ErkJggg==",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "# plotting profiles for 5 days\n",
-    "days = range(10)\n",
-    "\n",
-    "for day in days:\n",
+    "for day_idx, day in enumerate(use_case.days):\n",
     "    household_profile = household.generate_single_load_profile(\n",
-    "        prof_i = day, \n",
-    "        peak_time_range = peak_time_range,\n",
-    "        day_type = year_behaviour[day]\n",
+    "        prof_i=day_idx, day_type=get_day_type(day)\n",
     "    )\n",
-    "    \n",
+    "\n",
     "    school_profile = school.generate_single_load_profile(\n",
-    "        prof_i = day, \n",
-    "        peak_time_range = peak_time_range,\n",
-    "        day_type = year_behaviour[day]\n",
+    "        prof_i=day_idx, day_type=get_day_type(day)\n",
     "    )\n",
-    "    \n",
+    "\n",
     "    pd.DataFrame(\n",
-    "        data = [household_profile,school_profile],\n",
-    "        columns = range(1440),\n",
-    "        index = [household.user_name,school.user_name]\n",
-    "    ).T.plot(title=f\"day - {day}\")\n",
-    "    \n",
-    "    "
+    "        data=[household_profile, school_profile],\n",
+    "        columns=range(1440),\n",
+    "        index=[household.user_name, school.user_name],\n",
+    "    ).T.plot(title=f\"day - {day}\")"
    ]
   },
   {
@@ -332,7 +254,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -346,7 +268,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/parallel_processing.ipynb b/docs/notebooks/parallel_processing.ipynb
index 6722ee92..5315451b 100644
--- a/docs/notebooks/parallel_processing.ipynb
+++ b/docs/notebooks/parallel_processing.ipynb
@@ -13,10 +13,10 @@
    "id": "60e6433c-5e75-473b-afc7-8c866b41cd14",
    "metadata": {},
    "source": [
-    "There is possibility to generate usecases profiles at the appliance level using parallel processing.\n",
+    "There is the possibility of generating UseCase profiles using parallel processing.\n",
     "\n",
     "\n",
-    "For example to generate 365 profiles using a parallel process in shell use the `-p` option\n",
+    "For example, to generate 365 profiles using a parallel process in shell, use the `-p` option.\n",
     "\n"
    ]
   },
@@ -25,9 +25,7 @@
    "id": "1de3f349-200a-41cf-b266-a14d63594b6d",
    "metadata": {},
    "source": [
-    ".. code:: shell\n",
-    "\n",
-    "    ramp -i <path to your input file> -p -n 365"
+    "ramp -i <path to your input file> -p -n 365"
    ]
   },
   {
@@ -35,60 +33,54 @@
    "id": "e27c7c5b-6166-4ca4-9407-50697547c60f",
    "metadata": {},
    "source": [
-    "The following cells provide you with a way to use the parallel process in a pure python code"
+    "The following cells provide you with a way to use the parallel process in a pure python code."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "c3c38518-5878-4fef-bc23-21804da303ee",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You will simulate 9 day(s) from 2022-01-01 00:00:00 until 2022-01-10 00:00:00\n"
+     ]
+    }
+   ],
    "source": [
     "from ramp import UseCase\n",
     "\n",
     "import numpy as np\n",
-    "import random \n",
+    "import random\n",
     "import math\n",
     "import pandas as pd\n",
-    "from ramp.core.initialise import initialise_inputs\n",
     "from ramp.core.utils import calc_time_taken, get_day_type\n",
-    "from ramp.core.core import User, UseCase\n",
-    "from ramp.core.stochastic_process import calc_peak_time_range\n",
+    "from ramp import User, UseCase\n",
     "from ramp.post_process import post_process as pp\n",
     "\n",
     "\n",
-    "uc = UseCase() \n",
+    "use_case = UseCase(date_start=\"2022-01-01\", date_end=\"2022-01-09\", peak_enlarge=0.15)\n",
     "household = User(\n",
-    "    user_name = \"Household\",\n",
-    "    num_users = 10,\n",
+    "    user_name=\"Household\",\n",
+    "    num_users=10,\n",
     ")\n",
     "indoor_bulb = household.add_appliance(\n",
-    "    name = \"Indoor Light Bulb\",\n",
-    "    number = 6,\n",
-    "    power  = 7,\n",
-    "    num_windows = 2,\n",
-    "    func_time = 120,\n",
-    "    time_fraction_random_variability = 0.2,\n",
-    "    func_cycle = 10,\n",
-    "    window_1 = [1170,1440], # from 19:30 to 24:00\n",
-    "    window_2 = [0,30], # from 24 to 00:30\n",
-    "    random_var_w = 0.35,\n",
+    "    name=\"Indoor Light Bulb\",\n",
+    "    number=6,\n",
+    "    power=7,\n",
+    "    num_windows=2,\n",
+    "    func_time=120,\n",
+    "    time_fraction_random_variability=0.2,\n",
+    "    func_cycle=10,\n",
+    "    window_1=[1170, 1440],  # from 19:30 to 24:00\n",
+    "    window_2=[0, 30],  # from 24 to 00:30\n",
+    "    random_var_w=0.35,\n",
     ")\n",
     "\n",
-    "uc.add_user(household)\n",
-    "\n",
-    "num_profiles = 1\n",
-    "Profiles_list = []\n",
-    "\n",
-    "days = pd.date_range(start=\"2022-01-01\", end=\"2022-01-09\")\n",
-    "\n",
-    "peak_enlarge = 0.15\n",
-    "\n",
-    "# Calculation of the peak time range, which is used to discriminate between off-peak\n",
-    "# and on-peak coincident switch-on probability, corresponds to step 1. of [1], p.6\n",
-    "peak_time_range = calc_peak_time_range(uc.users, peak_enlarge)\n",
-    "\n"
+    "use_case.add_user(household)"
    ]
   },
   {
@@ -96,7 +88,7 @@
    "id": "eeba98b8-ae85-4993-8dc4-8a3502dc790d",
    "metadata": {},
    "source": [
-    "## Run usecase without parallel processing"
+    "## Run UseCase without parallel processing"
    ]
   },
   {
@@ -109,57 +101,49 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Day 2022-01-01 00:00:00\n",
-      "Day 2022-01-02 00:00:00\n",
-      "Day 2022-01-03 00:00:00\n",
-      "Day 2022-01-04 00:00:00\n",
-      "Day 2022-01-05 00:00:00\n",
-      "Day 2022-01-06 00:00:00\n",
-      "Day 2022-01-07 00:00:00\n",
-      "Day 2022-01-08 00:00:00\n",
-      "Day 2022-01-09 00:00:00\n"
+      "Day 1 / 9 completed\n",
+      "Day 2 / 9 completed\n",
+      "Day 3 / 9 completed\n",
+      "Day 4 / 9 completed\n",
+      "Day 5 / 9 completed\n",
+      "Day 6 / 9 completed\n",
+      "Day 7 / 9 completed\n",
+      "Day 8 / 9 completed\n",
+      "Day 9 / 9 completed\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 720x360 with 1 Axes>"
+       "<Figure size 1000x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 720x360 with 1 Axes>"
+       "<Figure size 1000x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "for day in days:\n",
-    "    print(\"Day\", day)\n",
-    "\n",
-    "    # without // processing\n",
-    "    daily_profiles = uc.generate_daily_load_profiles(num_profiles, peak_time_range, get_day_type(day))\n",
-    "\n",
-    "    Profiles_list.append(np.mean(daily_profiles, axis=0))\n",
+    "daily_profiles = use_case.generate_daily_load_profiles(flat=False, verbose=True)\n",
     "\n",
     "# Post-processes the results and generates plots\n",
-    "Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(Profiles_list)\n",
+    "Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(daily_profiles)\n",
     "pp.Profile_series_plot(Profiles_series)  # by default, profiles are plotted as a series\n",
     "\n",
-    "if len(Profiles_list) > 1:  # if more than one daily profile is generated, also cloud plots are shown\n",
-    "    pp.Profile_cloud_plot(Profiles_list, Profiles_avg)"
+    "if (\n",
+    "    len(daily_profiles) > 1\n",
+    "):  # if more than one daily profile is generated, also cloud plots are shown\n",
+    "    pp.Profile_cloud_plot(daily_profiles, Profiles_avg)"
    ]
   },
   {
@@ -167,12 +151,14 @@
    "id": "3db20bfa-2299-4577-bcfa-67d5b9e8f88f",
    "metadata": {},
    "source": [
-    "## Run usecase with parallel processing"
+    "## Run UseCase with parallel processing\n",
+    "\n",
+    "Explicitly calling the parallel method"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "cfc1c654-e9c8-42fe-a403-dfb43be00fb8",
    "metadata": {},
    "outputs": [
@@ -180,48 +166,107 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Computing appliances profiles: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 90/90 [00:00<00:00, 2093.11unit/s]\n"
+      "Computing appliances profiles: 100%|████████| 90/90 [00:00<00:00, 1284.63unit/s]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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",
       "text/plain": [
-       "<Figure size 720x360 with 1 Axes>"
+       "<Figure size 1000x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
      },
+     "metadata": {},
      "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "Profiles_list = use_case.generate_daily_load_profiles_parallel(flat=False)\n",
+    "\n",
+    "# Post-processes the results and generates plots\n",
+    "Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(Profiles_list)\n",
+    "pp.Profile_series_plot(Profiles_series)  # by default, profiles are plotted as a series\n",
+    "\n",
+    "if (\n",
+    "    len(Profiles_list) > 1\n",
+    "):  # if more than one daily profile is generated, also cloud plots are shown\n",
+    "    pp.Profile_cloud_plot(Profiles_list, Profiles_avg)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5baf6041-ec73-4b2b-8070-dd9b06490341",
+   "metadata": {},
+   "source": [
+    "You can also set the `parallel_processing` attribute of the `UseCase` instance to `True` and use the `generate_daily_load_profiles`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "fa0d1a43-2a87-4a29-940b-47fe151337db",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Computing appliances profiles: 100%|████████| 90/90 [00:00<00:00, 1437.07unit/s]\n"
+     ]
     },
     {
      "data": {
-      "image/png": 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\n",
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",
       "text/plain": [
-       "<Figure size 720x360 with 1 Axes>"
+       "<Figure size 1000x500 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
      },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
+    "use_case.parallel_processing = True\n",
     "\n",
-    "day_types = [get_day_type(day) for day in days] \n",
-    "\n",
-    "Profiles_list = uc.generate_daily_load_profiles_parallel(len(days), peak_time_range, day_types)\n",
+    "Profiles_list = use_case.generate_daily_load_profiles(flat=False)\n",
     "\n",
     "# Post-processes the results and generates plots\n",
     "Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(Profiles_list)\n",
     "pp.Profile_series_plot(Profiles_series)  # by default, profiles are plotted as a series\n",
     "\n",
-    "if len(Profiles_list) > 1:  # if more than one daily profile is generated, also cloud plots are shown\n",
-    "    pp.Profile_cloud_plot(Profiles_list, Profiles_avg)\n",
-    "\n"
+    "if (\n",
+    "    len(Profiles_list) > 1\n",
+    "):  # if more than one daily profile is generated, also cloud plots are shown\n",
+    "    pp.Profile_cloud_plot(Profiles_list, Profiles_avg)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ea9ec237-bca7-4314-b145-b3a1a3e6b5b6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -240,7 +285,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/plot_class.ipynb b/docs/notebooks/plot_class.ipynb
new file mode 100644
index 00000000..6571fb6d
--- /dev/null
+++ b/docs/notebooks/plot_class.ipynb
@@ -0,0 +1,392592 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5a0da146",
+   "metadata": {},
+   "source": [
+    "# Plotting functionalities\n",
+    "\n",
+    "RAMP's plotting class offers some functionalities for visualizing outputs. A `Plot` class can be initialized by reading a `pandas.DataFrame` or reading results from a `.csv` or `.xlsx` file."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b07bde96",
+   "metadata": {},
+   "source": [
+    "## Initializing a Plot class\n",
+    "\n",
+    "### Running RAMP interactively"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "eb23109f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ramp import User, UseCase"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b3d4fb01",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# creating a user and adding some appliances\n",
+    "\n",
+    "Petrol_Station = User(\n",
+    "    user_name=\"Petrol Station\",\n",
+    "    num_users=1,\n",
+    ")\n",
+    "\n",
+    "# add appliances\n",
+    "outside_bulb = Petrol_Station.add_appliance(\n",
+    "    name=\"Security Light\",\n",
+    "    number=2,\n",
+    "    power=18,  # watt\n",
+    "    num_windows=2,  # security light has two functioning window: during night and during day\n",
+    "    fixed_cycle=0,  # bulb has no duty cycle and always work with a single cycle\n",
+    "    window_1=[0, 7 * 60],  # from mid-night to 7 AM with opening\n",
+    "    window_2=[21 * 60, 23 * 60 + 59],  # from 21 to 23:59\n",
+    "    fixed=\"yes\",\n",
+    "    flat=\"yes\",\n",
+    ")\n",
+    "\n",
+    "\n",
+    "inside_bulb = Petrol_Station.add_appliance(\n",
+    "    name=\"Indoor Light\",\n",
+    "    number=1,\n",
+    "    power=75,  # watt\n",
+    "    num_windows=1,  # security light has two functioning window: during night and during day\n",
+    "    fixed_cycle=0,  # bulb has no duty cycle and always work with a single cycle\n",
+    "    window_1=[7 * 60, 21 * 60],  # from mid-night to 7 AM,9PM with opening,\n",
+    "    func_cycle=1,  # when the appliance is switched on, it remains on at least for a min,\n",
+    "    occasional_use=1,  # it is always present in the energy mix\n",
+    "    func_time=30,  # usually is used around 60 min during the whole day\n",
+    "    time_fraction_random_variability=0.9,\n",
+    "    random_var_w=0.15,\n",
+    ")\n",
+    "\n",
+    "petrol_pump = Petrol_Station.add_appliance(\n",
+    "    name=\"Petrol Pump\",\n",
+    "    number=1,\n",
+    "    power=200,\n",
+    "    num_windows=1,\n",
+    "    fixed_cycle=0,\n",
+    "    window_1=[7 * 60, 21 * 60],\n",
+    "    func_cycle=1,\n",
+    "    occasional_use=1,\n",
+    "    func_time=40,\n",
+    "    time_fraction_random_variability=0.15,\n",
+    "    random_var_w=0.15,\n",
+    ")\n",
+    "\n",
+    "# phone chargers\n",
+    "phone_charger = Petrol_Station.add_appliance(\n",
+    "    name=\"Phone Charger\",\n",
+    "    number=1,\n",
+    "    power=5,\n",
+    "    num_windows=1,\n",
+    "    fixed_cycle=0,\n",
+    "    window_1=[7 * 60, 21 * 60],\n",
+    "    func_cycle=30,\n",
+    "    occasional_use=0.7,\n",
+    "    func_time=60,\n",
+    "    time_fraction_random_variability=0.15,\n",
+    "    random_var_w=0.15,\n",
+    ")\n",
+    "\n",
+    "# Radio\n",
+    "radio = Petrol_Station.add_appliance(\n",
+    "    name=\"Radio\",\n",
+    "    number=1,\n",
+    "    power=5,\n",
+    "    num_windows=1,\n",
+    "    fixed_cycle=0,\n",
+    "    window_1=[7 * 60, 21 * 60],\n",
+    "    func_cycle=20,\n",
+    "    occasional_use=0.95,\n",
+    "    func_time=4 * 60,\n",
+    "    time_fraction_random_variability=0.15,\n",
+    "    random_var_w=0.15,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "74767bc4-77e0-4481-be8c-8b7d3da4be2f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You will simulate 365 day(s) from 2022-01-01 00:00:00 until 2023-01-01 00:00:00\n"
+     ]
+    }
+   ],
+   "source": [
+    "# running the simulation for multiple cases to generate mutlipe simulations for a year = 2022\n",
+    "\n",
+    "number_of_simulations = 11\n",
+    "number_of_days = 365\n",
+    "\n",
+    "uc = UseCase(users=[Petrol_Station], date_start=\"2022-01-01\")\n",
+    "uc.initialize(num_days=number_of_days)\n",
+    "\n",
+    "plot = uc.generate_daily_load_profiles(\n",
+    "    cases=[profile for profile in range(1, number_of_simulations + 1)]\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aeff5e48",
+   "metadata": {},
+   "source": [
+    "If the dataframe object did not have a `pd.DatatimeIndex`, the plot class could not be initialized. in this case, you can use the `index` argument to pass a datetime index!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3c345425",
+   "metadata": {},
+   "source": [
+    "### Running via the CLI and reading back the outputs from `.csv` or `.xlsx`\n",
+    "\n",
+    "If you run your RAMP simulations from a terminal, and save your outputs into a file, you can read your saved results to perform your analysis. The structure of the saved results should be exactly as shown in previous line where the index is a date-time index and on the columns you have different cases, or even different users of your simulation case. To read the file:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "c651b69f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Uncomment the line below once you have replaced the placeholder with the path of an existing file\n",
+    "# plot = Plot.from_file(file=\"path to .csv or .xlsx file\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bc7c7987",
+   "metadata": {},
+   "source": [
+    "If the data in the file did not have a date-time index, the plot class could not be initialized! in this case, you can use the `index` argument to pass a datetime index!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ae868c41",
+   "metadata": {},
+   "source": [
+    "## Filtering data using loc & iloc functions\n",
+    "If you need to use only a part of your data, you can use the `loc` function. For example, to take only the second day of your data:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "0e8797dd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "second_day = pd.date_range(\n",
+    "    start=\"2022-01-01 00:00:00\", freq=\"1min\", periods=24 * 60  # a full day\n",
+    ")\n",
+    "\n",
+    "filtered_data = plot.loc(index=second_day)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc5f3375",
+   "metadata": {},
+   "source": [
+    "If you need to also filter on the columns, you can use the columns argument or use the `get item` method:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "9f7d1159",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "                     case 1  case 2\n",
+       "2022-01-01 00:00:00    36.0    36.0\n",
+       "2022-01-01 00:01:00    36.0    36.0\n",
+       "2022-01-01 00:02:00    36.0    36.0\n",
+       "2022-01-01 00:03:00    36.0    36.0\n",
+       "2022-01-01 00:04:00    36.0    36.0\n",
+       "2022-01-01 00:05:00    36.0    36.0\n",
+       "2022-01-01 00:06:00    36.0    36.0\n",
+       "2022-01-01 00:07:00    36.0    36.0\n",
+       "2022-01-01 00:08:00    36.0    36.0\n",
+       "2022-01-01 00:09:00    36.0    36.0\n",
+       " ......"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# using the function\n",
+    "filtered_data = plot.loc(index=second_day, columns=[\"case 1\", \"case 2\"])\n",
+    "filtered_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "b4e4b23a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "                     case 1\n",
+       "2022-01-01 00:00:00    36.0\n",
+       "2022-01-01 00:01:00    36.0\n",
+       "2022-01-01 00:02:00    36.0\n",
+       "2022-01-01 00:03:00    36.0\n",
+       "2022-01-01 00:04:00    36.0\n",
+       "2022-01-01 00:05:00    36.0\n",
+       "2022-01-01 00:06:00    36.0\n",
+       "2022-01-01 00:07:00    36.0\n",
+       "2022-01-01 00:08:00    36.0\n",
+       "2022-01-01 00:09:00    36.0\n",
+       " ......"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# using the get item method\n",
+    "filtered_column = plot[\"case 1\"]\n",
+    "filtered_column"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "877d8bdc",
+   "metadata": {},
+   "source": [
+    "To filter the data using the position of the data, you can use the `iloc` function. For example, for filtering your data from the 6th row to 10th row:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "13191cdd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "                     case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10  case 11\n",
+       "2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0\n",
+       "2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0\n",
+       "2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0\n",
+       "2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0\n",
+       "2022-01-01 00:10:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0\n",
+       " ......"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "filtered_rows = plot.iloc(index=slice(6, 11))\n",
+    "filtered_rows"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3a8592c8",
+   "metadata": {},
+   "source": [
+    "## Adding new columns to the data\n",
+    "In case you want to add new columns to your data, you can use the `add_column` function:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "e205e410",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "                     case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10  case 11  new column\n",
+       "2022-01-01 00:00:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       "2022-01-01 00:01:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       "2022-01-01 00:02:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       "2022-01-01 00:03:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       "2022-01-01 00:04:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       "2022-01-01 00:05:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       "2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       "2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       "2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       "2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0\n",
+       " ......"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# lets take a copy of the current plot object\n",
+    "\n",
+    "copy_plot = plot.copy()\n",
+    "\n",
+    "# lets take a column of the existing data\n",
+    "new_data = plot[\"case 1\"]\n",
+    "\n",
+    "# lets change the name of the column assuming that this is a new data\n",
+    "new_data.columns = [\"new column\"]\n",
+    "\n",
+    "copy_plot.add_column(new_data)\n",
+    "\n",
+    "copy_plot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0cec30e0",
+   "metadata": {},
+   "source": [
+    "## Resampling data\n",
+    "\n",
+    "If you want to represent your data in a different time resolution, you need to resample the data. In this case, the original data (plot object) has a minute time resolution:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "4d5b93f3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Minute>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plot.freq"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1066e40a",
+   "metadata": {},
+   "source": [
+    "Let's assume you want to resample your data to an hourly resolution. To do so, you can use the `resample` function:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "1f41870c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hourly_data = plot.resample(\n",
+    "    freq=\"1h\",  # resampling freqency, similar pd.DataFrame rule\n",
+    "    rule=\"sum\",  # different options for resampling data like sum, mean, nearest\n",
+    "    conversion=60,  # resampling data from minute resolution to hour resolution has an assumption of dividing the minute date by 60 minutes to sum to hourly data\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "02eac015",
+   "metadata": {},
+   "source": [
+    "Let's check the resolution now:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "e53de489",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Hour>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hourly_data.freq"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0de4752e",
+   "metadata": {},
+   "source": [
+    "You can further apply all the `Plot` functions to the output of this resampling. For example, if you want to calculate the weekly consumption average based on the hourly data, you can use:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "de50f6a4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "weekly = hourly_data.resample(freq=\"1w\", rule=\"mean\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "ee3a07e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Week: weekday=6>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "weekly.freq"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e7bcdfba",
+   "metadata": {},
+   "source": [
+    "## Compute Mean, Sum, and Peak\n",
+    "\n",
+    "You can calculate the mean and the sum of all the columns of your RAMP simulations stored in a `Plot` object using the `mean` and `sum` functions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "5064b978",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "                          Mean\n",
+       "2022-01-01 00:00:00  36.000000\n",
+       "2022-01-01 01:00:00  36.000000\n",
+       "2022-01-01 02:00:00  36.000000\n",
+       "2022-01-01 03:00:00  36.000000\n",
+       "2022-01-01 04:00:00  36.000009\n",
+       "2022-01-01 05:00:00  37.515430\n",
+       "2022-01-01 06:00:00  44.341832\n",
+       "2022-01-01 07:00:00   3.040070\n",
+       "2022-01-01 08:00:00   1.646964\n",
+       "2022-01-01 09:00:00   6.791291\n",
+       " ......"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mean = hourly_data.mean()\n",
+    "mean"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "9628df92",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "                            Sum\n",
+       "2022-01-01 00:00:00  396.000000\n",
+       "2022-01-01 01:00:00  396.000000\n",
+       "2022-01-01 02:00:00  396.000000\n",
+       "2022-01-01 03:00:00  396.000000\n",
+       "2022-01-01 04:00:00  396.000100\n",
+       "2022-01-01 05:00:00  412.669733\n",
+       "2022-01-01 06:00:00  487.760150\n",
+       "2022-01-01 07:00:00   33.440767\n",
+       "2022-01-01 08:00:00   18.116600\n",
+       "2022-01-01 09:00:00   74.704200\n",
+       " ......"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "summed = hourly_data.sum()\n",
+    "summed"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "658eb6f4",
+   "metadata": {},
+   "source": [
+    "You can also find the the peak values and correspondoing hours to the peak value for each column of your data using the `peak` property:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "c0297a1f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "peak = hourly_data.peak"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "00e89c9b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'case 1': 2022-08-16 21:00:00    184.502267\n",
+       " Freq: H, Name: case 1, dtype: float64,\n",
+       " 'case 2': 2022-04-23 12:00:00    170.418517\n",
+       " Freq: H, Name: case 2, dtype: float64,\n",
+       " 'case 3': 2022-09-07 21:00:00    166.00135\n",
+       " Freq: H, Name: case 3, dtype: float64,\n",
+       " 'case 4': 2022-03-26 22:00:00    153.8342\n",
+       " Freq: H, Name: case 4, dtype: float64,\n",
+       " 'case 5': 2022-05-09 06:00:00    172.667167\n",
+       " Freq: H, Name: case 5, dtype: float64,\n",
+       " 'case 6': 2022-06-29 06:00:00    166.000667\n",
+       " Freq: H, Name: case 6, dtype: float64,\n",
+       " 'case 7': 2022-09-04 18:00:00    160.169433\n",
+       " Freq: H, Name: case 7, dtype: float64,\n",
+       " 'case 8': 2022-03-17 06:00:00    162.666883\n",
+       " Freq: H, Name: case 8, dtype: float64,\n",
+       " 'case 9': 2022-10-20 06:00:00    152.667083\n",
+       " Freq: H, Name: case 9, dtype: float64,\n",
+       " 'case 10': 2022-10-02 21:00:00    156.0024\n",
+       " Freq: H, Name: case 10, dtype: float64,\n",
+       " 'case 11': 2022-12-27 06:00:00    158.917483\n",
+       " Freq: H, Name: case 11, dtype: float64}"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "peak"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e632eea1",
+   "metadata": {},
+   "source": [
+    "## Visualisation\n",
+    "\n",
+    "A `Plot` object offers some easy-to-use plotting functions for routine visualisations. Each plotting function allows you to choose the plotting engine, which can be either `matplotlib` or `plotly`. The output of the plot functions will be a `matplotlib` or `plotly` object, so you can customize your functions after plotting with your specific taste and plotting style! You can also use the `** kwargs` to pass `plotly` or `matplotlib` specific styling features."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9795ac08",
+   "metadata": {},
+   "source": [
+    "### Line plot\n",
+    "With the line plot function, you can choose one or multiple columns of your data to plot a simple line plot:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "02e17fdf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plotting one column using matplotlib engine (default engine)\n",
+    "hourly_data.line(columns=\"case 1\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "9bef8400",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "hovertemplate": "variable=case 1<br>index=%{x}<br>value=%{y}<extra></extra>",
+         "legendgroup": "case 1",
+         "line": {
+          "color": "#636efa",
+          "dash": "solid"
+         },
+         "marker": {
+          "symbol": "circle"
+         },
+         "mode": "lines",
+         "name": "case 1",
+         "showlegend": true,
+         "type": "scattergl",
+         "x": [
+          "2022-01-01T00:00:00",
+          "2022-01-01T01:00:00",
+          "2022-01-01T02:00:00",
+          "2022-01-01T03:00:00",
+          "2022-01-01T04:00:00",
+          "2022-01-01T05:00:00",
+          "2022-01-01T06:00:00",
+          "2022-01-01T07:00:00",
+          "2022-01-01T08:00:00",
+          "2022-01-01T09:00:00",
+          "2022-01-01T10:00:00",
+          "2022-01-01T11:00:00",
+          "2022-01-01T12:00:00",
+          "2022-01-01T13:00:00",
+          "2022-01-01T14:00:00",
+          "2022-01-01T15:00:00",
+          "2022-01-01T16:00:00",
+          "2022-01-01T17:00:00",
+          "2022-01-01T18:00:00",
+          "2022-01-01T19:00:00",
+          "2022-01-01T20:00:00",
+          "2022-01-01T21:00:00",
+          "2022-01-01T22:00:00",
+          "2022-01-01T23:00:00",
+          "2022-01-02T00:00:00",
+          "2022-01-02T01:00:00",
+          "2022-01-02T02:00:00",
+          "2022-01-02T03:00:00",
+          "2022-01-02T04:00:00",
+          "2022-01-02T05:00:00",
+          "2022-01-02T06:00:00",
+          "2022-01-02T07:00:00",
+          "2022-01-02T08:00:00",
+          "2022-01-02T09:00:00",
+          "2022-01-02T10:00:00",
+          "2022-01-02T11:00:00",
+          "2022-01-02T12:00:00",
+          "2022-01-02T13:00:00",
+          "2022-01-02T14:00:00",
+          "2022-01-02T15:00:00",
+          "2022-01-02T16:00:00",
+          "2022-01-02T17:00:00",
+          "2022-01-02T18:00:00",
+          "2022-01-02T19:00:00",
+          "2022-01-02T20:00:00",
+          "2022-01-02T21:00:00",
+          "2022-01-02T22:00:00",
+          "2022-01-02T23:00:00",
+          "2022-01-03T00:00:00",
+          "2022-01-03T01:00:00",
+          "2022-01-03T02:00:00",
+          "2022-01-03T03:00:00",
+          "2022-01-03T04:00:00",
+          "2022-01-03T05:00:00",
+          "2022-01-03T06:00:00",
+          "2022-01-03T07:00:00",
+          "2022-01-03T08:00:00",
+          "2022-01-03T09:00:00",
+          "2022-01-03T10:00:00",
+          "2022-01-03T11:00:00",
+          "2022-01-03T12:00:00",
+          "2022-01-03T13:00:00",
+          "2022-01-03T14:00:00",
+          "2022-01-03T15:00:00",
+          "2022-01-03T16:00:00",
+          "2022-01-03T17:00:00",
+          "2022-01-03T18:00:00",
+          "2022-01-03T19:00:00",
+          "2022-01-03T20:00:00",
+          "2022-01-03T21:00:00",
+          "2022-01-03T22:00:00",
+          "2022-01-03T23:00:00",
+          "2022-01-04T00:00:00",
+          "2022-01-04T01:00:00",
+          "2022-01-04T02:00:00",
+          "2022-01-04T03:00:00",
+          "2022-01-04T04:00:00",
+          "2022-01-04T05:00:00",
+          "2022-01-04T06:00:00",
+          "2022-01-04T07:00:00",
+          "2022-01-04T08:00:00",
+          "2022-01-04T09:00:00",
+          "2022-01-04T10:00:00",
+          "2022-01-04T11:00:00",
+          "2022-01-04T12:00:00",
+          "2022-01-04T13:00:00",
+          "2022-01-04T14:00:00",
+          "2022-01-04T15:00:00",
+          "2022-01-04T16:00:00",
+          "2022-01-04T17:00:00",
+          "2022-01-04T18:00:00",
+          "2022-01-04T19:00:00",
+          "2022-01-04T20:00:00",
+          "2022-01-04T21:00:00",
+          "2022-01-04T22:00:00",
+          "2022-01-04T23:00:00",
+          "2022-01-05T00:00:00",
+          "2022-01-05T01:00:00",
+          "2022-01-05T02:00:00",
+          "2022-01-05T03:00:00",
+          "2022-01-05T04:00:00",
+          "2022-01-05T05:00:00",
+          "2022-01-05T06:00:00",
+          "2022-01-05T07:00:00",
+          "2022-01-05T08:00:00",
+          "2022-01-05T09:00:00",
+          "2022-01-05T10:00:00",
+          "2022-01-05T11:00:00",
+          "2022-01-05T12:00:00",
+          "2022-01-05T13:00:00",
+          "2022-01-05T14:00:00",
+          "2022-01-05T15:00:00",
+          "2022-01-05T16:00:00",
+          "2022-01-05T17:00:00",
+          "2022-01-05T18:00:00",
+          "2022-01-05T19:00:00",
+          "2022-01-05T20:00:00",
+          "2022-01-05T21:00:00",
+          "2022-01-05T22:00:00",
+          "2022-01-05T23:00:00",
+          "2022-01-06T00:00:00",
+          "2022-01-06T01:00:00",
+          "2022-01-06T02:00:00",
+          "2022-01-06T03:00:00",
+          "2022-01-06T04:00:00",
+          "2022-01-06T05:00:00",
+          "2022-01-06T06:00:00",
+          "2022-01-06T07:00:00",
+          "2022-01-06T08:00:00",
+          "2022-01-06T09:00:00",
+          "2022-01-06T10:00:00",
+          "2022-01-06T11:00:00",
+          "2022-01-06T12:00:00",
+          "2022-01-06T13:00:00",
+          "2022-01-06T14:00:00",
+          "2022-01-06T15:00:00",
+          "2022-01-06T16:00:00",
+          "2022-01-06T17:00:00",
+          "2022-01-06T18:00:00",
+          "2022-01-06T19:00:00",
+          "2022-01-06T20:00:00",
+          "2022-01-06T21:00:00",
+          "2022-01-06T22:00:00",
+          "2022-01-06T23:00:00",
+          "2022-01-07T00:00:00",
+          "2022-01-07T01:00:00",
+          "2022-01-07T02:00:00",
+          "2022-01-07T03:00:00",
+          "2022-01-07T04:00:00",
+          "2022-01-07T05:00:00",
+          "2022-01-07T06:00:00",
+          "2022-01-07T07:00:00",
+          "2022-01-07T08:00:00",
+          "2022-01-07T09:00:00",
+          "2022-01-07T10:00:00",
+          "2022-01-07T11:00:00",
+          "2022-01-07T12:00:00",
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Beautiful Plot\"}},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('c3b793ca-e47b-4142-950f-ffefed07ef16');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plotting all columns using plotly engine, you can\n",
+    "hourly_data.line(engine=\"plotly\", plot_bgcolor=\"gray\", title=\"My Beautiful Plot\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "04f08f05",
+   "metadata": {},
+   "source": [
+    "### Load duration curve\n",
+    "A Load duration curve (LDC), also known as a duration curve or a load-duration profile, represents the cumulative distribution of a given energy demand over a specified period of time. To plot this curve, you may use the `load_duration_curve` function in different modes, like taking a specific column of your data and calculating the mean or sum. To this end, go through the steps below."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "a4b3e4a1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Taking a column\n",
+    "hourly_data.load_duration_curve(column=\"case 1\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "f4366b66",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plotting for mean\n",
+    "hourly_data.mean().load_duration_curve(\"Mean\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "26e16e61",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Taking sum\n",
+    "hourly_data.sum().load_duration_curve(\"Sum\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b3bb5e37",
+   "metadata": {},
+   "source": [
+    "### Area Plot\n",
+    "Using the `area` plot function, you can plot the cumulative sum of the the columns in your data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "ae8f6f1f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "fillpattern": {
+          "shape": ""
+         },
+         "hovertemplate": "variable=case 1<br>index=%{x}<br>value=%{y}<extra></extra>",
+         "legendgroup": "case 1",
+         "line": {
+          "color": "#636efa"
+         },
+         "marker": {
+          "symbol": "circle"
+         },
+         "mode": "lines",
+         "name": "case 1",
+         "orientation": "v",
+         "showlegend": true,
+         "stackgroup": "1",
+         "type": "scatter",
+         "x": [
+          "2022-01-01T00:00:00",
+          "2022-01-01T01:00:00",
+          "2022-01-01T02:00:00",
+          "2022-01-01T03:00:00",
+          "2022-01-01T04:00:00",
+          "2022-01-01T05:00:00",
+          "2022-01-01T06:00:00",
+          "2022-01-01T07:00:00",
+          "2022-01-01T08:00:00",
+          "2022-01-01T09:00:00",
+          "2022-01-01T10:00:00",
+          "2022-01-01T11:00:00",
+          "2022-01-01T12:00:00",
+          "2022-01-01T13:00:00",
+          "2022-01-01T14:00:00",
+          "2022-01-01T15:00:00",
+          "2022-01-01T16:00:00",
+          "2022-01-01T17:00:00",
+          "2022-01-01T18:00:00",
+          "2022-01-01T19:00:00",
+          "2022-01-01T20:00:00",
+          "2022-01-01T21:00:00",
+          "2022-01-01T22:00:00",
+          "2022-01-01T23:00:00",
+          "2022-01-02T00:00:00",
+          "2022-01-02T01:00:00",
+          "2022-01-02T02:00:00",
+          "2022-01-02T03:00:00",
+          "2022-01-02T04:00:00",
+          "2022-01-02T05:00:00",
+          "2022-01-02T06:00:00",
+          "2022-01-02T07:00:00",
+          "2022-01-02T08:00:00",
+          "2022-01-02T09:00:00",
+          "2022-01-02T10:00:00",
+          "2022-01-02T11:00:00",
+          "2022-01-02T12:00:00",
+          "2022-01-02T13:00:00",
+          "2022-01-02T14:00:00",
+          "2022-01-02T15:00:00",
+          "2022-01-02T16:00:00",
+          "2022-01-02T17:00:00",
+          "2022-01-02T18:00:00",
+          "2022-01-02T19:00:00",
+          "2022-01-02T20:00:00",
+          "2022-01-02T21:00:00",
+          "2022-01-02T22:00:00",
+          "2022-01-02T23:00:00",
+          "2022-01-03T00:00:00",
+          "2022-01-03T01:00:00",
+          "2022-01-03T02:00:00",
+          "2022-01-03T03:00:00",
+          "2022-01-03T04:00:00",
+          "2022-01-03T05:00:00",
+          "2022-01-03T06:00:00",
+          "2022-01-03T07:00:00",
+          "2022-01-03T08:00:00",
+          "2022-01-03T09:00:00",
+          "2022-01-03T10:00:00",
+          "2022-01-03T11:00:00",
+          "2022-01-03T12:00:00",
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OBURygBS0Ac8VAEjxXGJPHgCQ4omsyDRGFXADpLzwUiPatt1H146voaysmhhVAsX2QoGGClL2FPpo8UcJlNnOT2NGoc170XZU8/QKpLz81hL6/Jsf6edN+dppO+zYYr/fT2f9ZhpNnXgxXXbRcMr5JZ/ufvhFza1GdO0xs0hpld5CKY+9+4u0k4NOObEbffPDBvrzP+bQwv/8TTslSH9qz5ffraeb73qS/j59Ig0+42Q6UlpGX32fQ2NHnkVJxwLmquoZDfcBpDisBYAUhwIiOUAK2oDnCjRkkNKQd5gBUjz/NPCAGFIAICWGKisGi9pQQUp+fgLNm59AXbv46bprqmOwZhpOkb0CKezUnHN+fytdOmaoFuCVXwxiPPDvV7STek7s2ZXuvm0C3XTHY7Ti7ce1W5gli5Vrj0oe02+6TLOGWZeTqx2ZzKxiLhl9tvYM2fHH7y39kp5b+AFt37WXmjVLoVNPPo4e+/tUDQDF2gWQ4rDGAFIcCojkACloA54r0JBBSkPeYQZI8fzTwANiSAGAlBiqrBgsKkBKDFZajBXZK5ASYzI0qOICpDisToAUhwIiOUAK2oDnCgCkeC6xJw+IRpDCLIB+WOujfn391K9PwEw8o3kSlVZUU3kldjs9aQjIVFMAIAUNwUsFAFK8VBd5MwUAUhpeOwBIcVinACkOBURygBS0Ac8VAEjxXGJPHhCNIEV29DVAiifVj0x1CgCkoEl4qQBAipfqIm+AlIbZBgBSHNYrQIpDAZEcIAVtwHMFAFI8l9iTBwCkeCIrMo1RBQBSYrTiYqTYACkxUlExXExYpMRw5RkUHSDFYZ0CpDgUEMkBUtAGPFcAIMVziW094OtvE6ik1Ef9+5kfwQqQYktW3NzAFQBIaeAVXM+vB5BSzxUQB48HSGl4lQyQ4rBOAVIcCojkACloA54rAJDiucS2HsABidURrAAptmR1/eaGHMjYdbEikKEZSCk66KODxURpLYnS0/yGpUGdRqCiYvQRACkxWnExVGyAlBiqLMWiAqQoCmV0G0CKQwGRHCAFbcBzBdwGKZ8v3UHLvs6m8wbm0dkjO3tefrMHRHJhxBZra9clUMu02kCr4by8XZBiBVzCKUO4aeIpRkok21a49RFP6cxAiqxdyrRBncZTi7H3rgAp9vTC3fYVAEixr1m0pwBIcVhDACkOBURygBS0Ac8VcBukfPHRRlr67Uk08oz1NHhUL8/LHy0gJT8/gebNT6CuXfx03TXhn1ADkFKvTUb54Vh0K0sVkRsBUiIic9w+BCAlbqs+Yi8OkBIxqSP2IIAUh1IDpDgUEMkBUtAGPFcAIMUdiQFSiGCR4k5bQi72FQBIsa8ZUqgrAJCirhXuDE8BgJTwdIvmVHEHUrbv2ksPP/0a/bQxjxo3SqDXn7mHWmekUdHBw/TXWc/Sjxu2UkbLFnTv7ddS/5N7anVn9htASjQ379gpW1qzRDpa7aeS8qOxU2iUNGYUAEhxp6oAUgBS3GlJyCUcBdwAKfOf3Um5BVk0YlAhDT23VTjFQJoGqkBDBSnbtx6i5xdmULeOxXTNdakNtPZi47UAUmKjnuyUMq5AypGSMrps0t9p+qTL6ZzB/cjn8wW1uuP+udQxszVNm/hbWr9xK932j6fpg/kPUEpyEpn9BpBip7m5f69bCxv3S2YvR4AUe3rhbnsKAKTY08vobrf6G7j2uFMfXucC1x6vFbaXP0CKPb1wtz0FGipI2fXLDpr7ejb1yMyn8Td2sicK7nZVAYAUV+Wsk9m2nYU0debjdNlFw2j878/39mHHco8rkLLw7WVUuK+Ipt90WYi4NTV+GvSbqbT8/x6nJilJ2m9/vPNJunTMEBoysI/hb8MG9aVIgZTlKxtp5Ro+JHy//Ii0qAg/xK2FjdNiOy0HQIrTGkB6MwUaMkjhO8yTrsijjsd5G/jW6XfO6wggJXq+1z2FPlr8UQJltvPTmFE1IQUDSImeemIlAUiJrvpoaKUBSGloNRp97+MlSMnf7qeKisi/c1ZXHyUHls71en3zwwa6//EF1CO7E/Xt3R0gxYvauPmuf1Ovnl1o1Xc5dPhIKQ3ofwJNn3QZFR08Qlf/8X5a9vojwcc+NvdNapmWSheMONPwt2uvGEN7i8u9KGqdPGfeEwAps/4BkCKKk5fno+deSqCsrn668drQSXBEKubYQ5yWI7VJY6qu9lNZJeo3kvUWL89q3jSRqo7WULlL7euzDzfQkm9OovMHrKehY06oVxnnzdmhmepPviqPOh/fxdOyOP3OeeF4f37DNTWUnW18VKvqfZ6+tC7z5Uv307Iv29F5ZxXS8JGttV8ZCC6vrKGKqmP9l99PJFh8RrJ8dp9lVqfPzkug/G0+sqonu8/E/eEpkNQ4gZomN6bikso6GXy83Eefrkigc4bV0LnDjb8p3l+I7Te80iBVQ1MgObERJScl0KGSqgb1ajs2bac5rwYsUq6d7O1mQ4MSzoOXadsyxYNcA1ne9cBR2lNg3Pd59eA7pzeirC4JdbJnXiCznlxIX32fQ8xg4Y6pV9GYEQPoncWf07zXPqTyyipqld6CHrl7MnVq34a+W7uR/vXUa1RSWkZEPpr5pz/Q2QNOodKycrp39nxal5OreYnM/NPVdHrfuocc5ObtotTUJvTW+ysorXkzgBQvKvyKyfdSi9Sm9K87J1Hz1Kb0l/ufpV49utB5Q06jaTMfp/fnPxB87NMv/Ver+ItGDjL8bdq1l2iLk0hck6cHJqhzHg0AFVwBBTbnEj02p5p6diO6bWr9aeO0HI0SfMS6P9bmcEEBtxXQ2pffT241rw/e/on+t+pEumDQz3ThpSe7XVxb+T32yBbavCeLpl+zg3qcnGUrrd2bnX7n/Hm8P79tciPq2cO4FKr32X0PJ/fL6p61rxq/nxg/YRcbFxMb151YOXmuV2nN6vSxp6pp81Yiq3ryqmzIN1QBxuYSEnzapoP+en9JDX241E9jRvroovON2x7vLy4Yto8uvCgTEkOBoAIJPsZ/fVTt1kAZJdrm/pRPj77UmXq2z6fb/tw9SkoVn8Xwclx8YHYVFR+KvK6TJjambl1qQ2XwEtzzyIuUnJRIM6ZeSTXVNVRZdZRSmzWhTVt2UGbbDA12PPrMm1RWXkF33jKOfnfDPfTAzBuoZ3YnOni4RPsW2ZqdQZTUpil026TLaMu23XT99IfofwsepKZN5FDqieffpvS0VIAUL5rC1dPuJwY/BvY/Ucv++x9/obkL3qP77rieLr/p75prD78YFWNBaC86b5Dhb9ddOSZirj3cFPzeuxGMVGwbbpnaO21vTssB1x6nNYD0ZgrAtced9uH0O+eliGXXHtnR1xnNk6i0oto1iyd3akstF7M65a49o8+voTMHRGbTRK3U8XkXXHvis94j9dZw7YmU0vH7HC9de5Z/UU2HDkde22GDEyiteV2QcsaYm2jZG49qwMToWrV6Pb2y6GN6atYtdPs/51DLFqk05ZqLKT2teTDJwAun0JLXHg7mM+HmB2jyhLHBtbw+b4AUD9sACxrLYp5cMGKg9pSvVudoFfjv+/9EZ/1mGn302sMa/WLXTXc8Rr+/cJgWlNbotxFn9wdI8bC+VLJ2a2Gj8iyze5yWAyDFaQ0gPUBK7MVIuW5cKXXNNnYuVgUukWz98QhShg2ppnOGwVowku1M9iyAlPqugYb9fICUhl2/0fB28QJSSssqaPDYabRm6XN1ZH/rgxX08crvNSvpg4dKKCO9Bc158FZiaV56YzEt+nAlDT2z77F4pj46ffQkyupcaz1YUlquufeMHHqatEoBUjxs6V9//zPN+vcrtPA/f6MmyUl06z1P0VlnnERXXjyC7n54HrVKT6M/Xhs4tWfa356gxa88RM2appj+Fqlgs7BIkTcMpwDDrebmtBwAKW7VBPKRKQCLFHfahdPvnJeC9+dWAXIBUtypt3AhOLdIAUjxvh5UngCQoqIS7glXAYCUcJVDOlUF4gWkMD0YAPnkrdlBAwX2t8++Wkf/efEdmvfYDC3ExopVa+mN95ZrIIVflZVV9M/HF1CL5k3p9slXELNI+fSt2dS0SbKSzAApSjKFf9Pzr/6PXn3nY/KRj0YOO10jXo0bNaJDR0pp5qznaM36X6hFajO669bxdNbpJ2kPMvsNICX8unAjpVsLG6dl0ZeDBShkFwuCq3IBpKiohHvCVQAgJVzlQtNty6ukFxY0pezOZTRxYmLYmQKkhC2d6wlVXHvsgJRoGZNcFyoKMgRIiYJKaMBFAEhpwJUbJa8WTyDlr7Oe02KVTL/pci2G2qHDJbTy63W0ZMV3GjipqKyiO+6bq8VOYf/emLtdi1vKLnbK7vZdhZrlCYuRwmKtsBgpiY0b0fZde6l92wxKTGwsrVWAlChp7KrFAEhRVcqb+6Jl0qovh10LIoAUb9oHcg0oAJDiTkvY9csOmvt64PSD8Td2CjtTgJSwpXM9IUCK65J6liFAimfSImMiAkhBM/BaAS9Byg8/1lBJmdrmrZvv2e/kRtQsEBUj5GJuO/fOfplWr9uk/f0v066ioWf2oZvv+g/l7yzQ4pCOu3Qkvb9slQZSZj7wHH295mdKTkqizh3a0Ky/3qDdw07tefjp12nl1z9SZVWV5uYz96E/G1qoAKS4WbsRyAsgJQIimzwCIKV+9cfTY0MBgBSiDz9KoIJCH40eVUPt24U32QBIIUKMFPNvPlrGpNjomeyVEiDFnl64254CACn29Ir3u8OZU3gJUuK9Purr/X1+Fu0FV9gKAKSELZ0rCaNl0gqLFFeqE5l4pABAChGPd3Ht+BrKygrvBBaAFIAUq080WsYkq3LG4u9ugpTzBubR2SM7x6IMKLNHCgCkeCRsjGdrNHcIZ04BkBLjjUFSfIAUh3UKkOJQQIfJt289RM8vzKBuHYvpmutSHeYWfnKAlPC1Q0rvFQBIAUhxq5XFk0XKSy8coa27WtLwsw/T8OFNlCQESFGSKayb3AApC57eSZv3Z9H5/XLorIuOD6scSNQwFWioIKVwzU566oMs6tk6n8ZNCd8ltWHWuvVbAaRYaxTPdwCkOKx9gBSHAjpM7tYOscNiEECKUwWR3ksFvAYpRQd9dLCYKK0lUXpaZI0c5z+7k3ILssjqBJxwdo/0deJWf4MYKV62dnt5m8F43rZGDCqkoee2Usq4vkHKa28kUEmpjy4YE74Lm9KL1sNNACn1IHocPRIgJY4q28arAqTYECsObwVIcVjpkQYpM2dUU0pKZBcqDiXyNLlbCxunhXQLpORuq6aKcqLMdqRUz+y5edt9lN3FH7a7gtN3R/roV8BrkPLpCh+tWNmI7Jxu4pZqC57ZSZv3ZtHkS/OofW9jU32AFHcUb2gWKWZjSCyClGg8MtudlkcEkOKWkshHpgBACtqFTAGAFLQLMwUAUhy2j0iDFCf+/Q5fNSqTNzSQMn1mQGbVeq7PBWxUNggUSqpAgwYpx0z1p16YT+36G5stA6S483F89fYmWpzTm0b3zqEzLw24RmQ0T6LSimoqr6x25yERzAUgJYJiO3wUQIpDAaMgef42n1aKrK7mG4Kq97n5SiJI2VPos7Wp5WY53M4Lrj3OFOVzhysvq6ETetXGVwtnToEYKc7qIhpTA6Q4rBWAFIcCOkwOkFJ/lgAOqw7JI6gAQApipLjV3ABSzJWUufawRdnijxIos52fxowKL9Cxav25YZESDZaOzF3w7UUJlJBAdO2EAKADSFFtBdF7H2+f99591LCQ/B52g9l9br+lCFLCWSS7XR638gNIcaYkbwt6i9tw2ghAirO6iMbUACkOawUgxaGADpMDpACkOGxCcZEcIAUgxa2GDpBiH6REMm6KGyAlGiwduWbiYhogxa2vuP7yAUiJvPYAKc40B0hxpl9DTw2Q4rCGAVIcCugwuQhSzhvbud5MMd2KkRKua8/AM2o83+l0WFVI7qECVmbQACkAKW41P4AUgBS32pJZPgApkVA58s8u65P/AAAgAElEQVQASIm85gApzjQPB6QYwXNYpDiri2hMDZDisFYAUhwK6DC5CFKqkrrStu0+5fgiDh8dknzDxgR67c0E6trFT9ddU00qkwUxg7RmiXS02k/hghT+XDffCXnFjgJW7Q0gBSDFrdYMkAKQ4lZb8hqksHF5d4GPumfVBmPH8ceRqD3jZ1iNVSwlXHvcrSOAFGd6AqQ406+hpwZIcVjDACkOBXSYPByQ8sO6BCo+6KO+fWpcO6qVm0IDpDisUCQPSwGrySlAijsgxa0JaSwffwyQApDCFfDy2HM3LFJkCyCAlLCGGNcSWY1VACmuSR3MyK1xy/2SxUaOACmxUU8ffvINzV34HhUfPEIZLZvTzD9dTaf37eV54QFSHEoMkOJQQIfJwwEp4QSIsiomQIqVQvjdSwWsJqdegpRfCntT8UGi4mJf/Rx/rHhqz0svHKGtu1rS9VcfoC7dWoRVHW5NSAFSwpLfk0Qqp/aMPGM9DR6lNiGTmXTr/1Ze7qOCQqLkFKL27cxPL7H70pGMkeJlLBWAFLs1Hxv3W41VACnu16Nb45b7JYuNHGMFpFRv2Uj+8tKIi9q4+wlEKU0i/lz9A5+Z/x79ZuQg6pDZmr5bu5Gm/+Np+mzRE+TzBU4K8+oCSHGoLEBKQMDlKxtp/x0+JLLHX0Y7SJk5o5pSUqwnynDtcfghHktuFtTxw48SqKDQR6NH1bi+eHGn9OHnYjU59RKkLP32pGDB9VHtw38j9ZR8h9nq+OP5z+6k3IIsmnRFHnU8rrP6A4Q73ZqQxjJI+fT1PFrxS8+4Ov7YbZDiZfBZgJRqOmdYYMyFRUpY3ZyniazGqoYMUrz87s0qza1xy9OGEcWZxwpIOXzr1VS9Kz/iSqY+8Dw17l53o+FISRnNenIhffV9DtXU+OmOqVfRmBED6J3Fn9O81z6k8soqapXegh65ezJ1at9Ggx//euo1KiktIyIfzfzTH+jsAadQaVk53Tt7Pq3LyaWU5CRlS5MBF0ympa8/QmnNm3mqCUCKQ3kBUgICqgyODqWWJt+9YQc981Y29WiXT1XJajFSImmRcu34GsrKsj7uEiDFndZhNlHxot7dKbXzXKy+P4AUIoAU5+2M5TB/ThHl7msTHyBl7k7KLcyikaevp8Gj3bNI8XJBBZCiBlJGnZJDgy4+3p2PArkoK2A1VgGkKEupfGM4IMXO5qhRnbrl+mcVTF9ZiDBvfPHFKsrb0YSGn11Ow4c3DuZiNqesj2Czh/82ifxFv4b5luEna3brP6lRzxPqZHDPIy9SclIizZh6JdVU11Bl1VFKbdaENm3ZQZltMzTA8egzb1JZeQXdecs4+t0N99ADM2+gntmd6ODhEs2SpEVqUw2ipDZNodsmXUZbtu2m66c/RP9b8CA1bZJiWGh237SZj9PiVx4K/8UUUwKkKApldBtASv2CFHGAqGwKkOKwOcd8coCUo9I6BEgBSHHr444nkBJOPA0V155IgBQnLmyqLjuq94XT9rxz7dlBm/dn06jeP9KgS08Mp2hI40AB2aJbv1BuqMFmvfzuzaokHJCiArz4M43udat/sFMWB03TMCnfhBkxqJCGntsqakFKxZJF5D9Y5IUEpnkmj7yEfC0z6txzxpibaNkbj5pahKxavZ5eWfQxPTXrFrr9n3OoZYtUmnLNxZSe1jyY38ALp9CS1x4O5jPh5gdo8oSxNLC/vP8+Wl1NN/z5Ybr6tyNpxNn9PdcDIMWhxAApAClMAaMYKV5bpCxfXkbLP29OWZ0r6NqJAfeqeL7iHaTcenO1NIBypECKHRcIt9opXHvcUlItn4YGUkSrxvGTOoWIEMsgxYkLm+oCSPU+tZYVepddkMLHwuFnH6bhwwP++nLXngBIOb/3Ojrr0t7hFA1pHCggWxTr/waQ4kBgSdI1y/bTf7/KpJ6t82nclNA+zuhJduBFvICUkQM20eDzuwOk6BqNDKSUllXQ4LHTaM3S5+o0sbc+WEEfr/ye/H4/HTxUQhnpLWjOg7cSS/PSG4tp0YcraeiZfWn6TZdpLj6nj55EWZ0zg/mUlJZr7j0jh55WJ2/mQvSX++dSl47taNq1l7j7IRnkBpDiUGaAFIAUL0CK6iT4i482EotR0a3DXhp2XoCUZ3W1jsnisNlHbfJ4BylG4A4gBRYpbn20L8/ZT1v2ZdL5vX+gsy49Wcs2o3kSlVZUU3llZGNkufFOZru10QZS5r0cgOXXTjDWWTX+jpl2qoBE9b5w6skuSOFjoQhzAVLCUd7bNAApCcRPd/RW6drcv/jgAC1d0zYskDJ5UrVlTLlYAynM5WjtugRqmeanfn2sXe+5RYp+oyjaXHuizSKFAZBP3pqtuefw67Ov1tF/XnyH5j02g5qnNqUVq9bSG+8t10AKvyorq+ifjy+gFs2b0u2TryBmkfLpW7OpaZNk00+GgRnmTsRcfv4y7apIfV4EkOJQaoAUgJRoASlbd7fVKuPeu+XuHQ6betjJ9xT6qKKcKLMdKQXeDftBRASQIo/J4zZIeWNhAeVs7URsYiEGm4VFilrr5RPP34zYQx17tDWcqLoR70JWIicL4Jee3kdb97enkb2/p8GX9gFI0Qks64O25VXSCwuaUnbnMpo4MdG0nzJrQSq7xG6AFJl1h1vtSHURwzUTx7TkxARKbZJIvx6qqFOc+gYp9eW2odbjRM9dACmRBykrPyikj9d0DAukqFhVxxpIsfutAqSY9x9Grj1/nfUcpael0vSbLqcav58OHS6hlV+voyUrvtPASUVlFd1x31wtdgr798bc7dSrRxftYQvfXkbbdxVqlicsRgqLtcJipCQ2bkTbd+2l9m0zKDGxNl4NSzPryVeIyK+lieQFkOJQbYAUgBSvQYpZoC3RIsVLkKIPGsYGorztPsru4rcMphvJIK+xBFJUdpfNuidxMbzi2KlZXlqkiOV96fkDxNobQEp4A4houm62OwmQEp6+dlJFwiJFf8Sy3Yk8f59IgRQZlHALpKi+O9cMIMW4Ndd3EE4735lZG4ZrTzhKqqf57INd9MmartSzdR6Nm6J2Yp2dsSfeQcqYUTXUtas/ZEOkPoLNVn27kvwlh9Ubhkt3Jp5+NvlSW9TJjbnt3Dv7ZVq9bpP2G7MSGXpmH7r5rv9Q/s4Cap2RRuMuHUnvL1ulgZSZDzxHX6/5mZKTkqhzhzY06683aPewU3sefvp1Wvn1j1RZVaW5+cx96M8hFir5OwrognF/oYSE0KOOb7nh93TdlWNcelN5NgApDuVlIOWHdQlUfNBHffvUSOMTOHyEltxOp2b2PHFBPPuJgJmwGxYMKhM8N3TQ59FQg82Krj1m2vIJr6iLVX2Gs4DX72Db2dEGSJG3fKffTDgg5c9/CwwyVm1EVmKxvAAp6r7mZlqy36IFpKh+07BIMR/JZBNogJRazQBS6rYfVSsdfUqnY4gXczKrPGGREmqREm7dW+ks/g6QEqqWah/EU1lZpMjG8foAKXbaBO51TwGAFIdaMpASiYWiWyBFtvgKZ1GlMqB7vVtSXu6jDV/so3dWBYJo1SSm0JY9mXTjVbupU4+Am4vs8qK+uK6Z7fw0ZVK1bfClP/7YS5ASzuTLa5Di2jF5+Qk0b77cdNaLenfSfYRTD+LzvAQpMncsgBSicE4/AEhR+0qcfg9qT6l7FyxS6mpi1yKFxeU6Z6i1dSJ7kuoiJp4sUlQ1UZl3GX0HGzYm0Jdf+ahDez+xHfT6uhoCSGHj4+KPEojN9+xoqXKilxf1ApASGZAyZnRN0I29oMAnnYt2aBUIhI2r4SgAkOKwLgFSAgKqDI4Opa6TXAxGx0CKvzFRbkEWWQVq9WJBzRe1rJAMTNkFX26CFHZyy8FiorSWJLWQCmfB4jVIUd0Nt2pDseTaE049yEBKr+NraOOmBO0nK9cemUWK2bcr5geQApDC2phXFilOvwervoH9zuB7QSFRcgoFzbAbCkhhlrE/rPUR38CwGgfN9LILUlhew4ZU0znDrAOdq0IDN0DK/Gd3U25BF80FcfCoXtorL3ja/NQeWRtRaVuq7yXLK9y0dr4Z/cmCKu/kxT0qc0XR9dGNjT7V92iS1IhSkhtR0eFK0w1SfX2pWpUApKjWROh9dtq5yhPsfm+qFins2du2+7R5GLtkm3oAKSo1FFv3AKQ4rC+AFIAUpkAkQIpskSxz7WETWhYzw2hiG86g1NBBCps8f/l1AiUkEA0f4t3JI2661okTYzZ4A6TkU7v+xkc78smQkwVmfVmkWFnZ2R3GZOBSFWbGMkiRTaBVQMrok3PozEuOV5K5vlx7xDGIFdRJO+fjSu9uO+nyq2uPndQLII4/dkEK3803Av52Qcp7b+6g1RuzQ6CJbAFkBVLsLrK4JuGmY+nDTWtnLI9WkMKsO+bMDXUzjzWQolp/4YIUp+EDYJES2nOp1hdPBZCiNPTF7U0AKQ6r3gyksJ2h4mIfrVnrs20CqC+WXQsHo9eKpGuPnUE+nGqIBYuU668+QF261Q3CpH9fFYsUgBTrVmI2QL70whHauqslXf27YjruxNSQzMS25OUOmJvfH0BKoAr5EbVTL2y4IMXJolj21XgNUlShjFg2r8cLowWrEkjpnUNnXuoeSNHHTLHu2Yw3LHhaL0BKtw576ZrrMwyLJwMp3DKmX1/50aJiX8syNgIwdkGKGLeJW5/EC0hROaLWDKQwwJ+eZm1NZNZOVV259d+5bOxtqCBl+9ZD9PzCDOrWsZiuuS4wB1FZ1Duxol6+shFt21REW/dkRDTYrFiHqpDVqH2Jbcaqf+F5mMEnFc3FsgCkqI5Q8XkfQIrDejcDKWJH4vTceICUuhUVCyBFtgBi5dafeAOQ4tOsaFjA5jHn+8M+JtlsgOSD4YhBhTT03FZxDVJmzqgOujjodwOZMLL+Bq499efaE00gZf6c7ZS7r5vp8ccNDaQMyMqnC8YbWzuJnYmKRUpDBilWdQ+QYjyXSU7xU79T1ONu2JkXykCK3QWl2XRZFYS6CVIYJGCXW1ak4br2WOnIFvV79hC1SS2k9z9tTz0y82n8jYH+xCotu8cJSBHXIZE8tccrkGLVv/A2aqaZiuYAKQ4Xx3GUHCDFYWWLIIVlJe5mA6QEzvj2aoc/FKTkkb+xL+pipMgWQLKBACAlAFLYZRTnQ+VTBUipkR5H3TI1iSqrqonHSGEac/9d7hYk67tiI0ZKIObBpAs3UMf+PQ2bSSy79sQ7SFHdhbTqI+y79gTaVvc2hTRhcih81T+L74C2TPPTO++GBrz+7ONf6ZNV7YILKCuQYrQIMFusRotFitVCJ2pAyolr6KzfnVKnydhdZPEMwk0nLqbZ/9vZdIt3kMLf38qd2apf4L97BVL498w2cVg/kJFaRLfc1rzBgZRrJ1QHY/OJ6x/Z5pVqnYgbO2yOYtW/eAFSFszZSZv3ZdH5/dfTWRcGYi2JgIt/t+y/iJFip2Ybxr0AKQ7rESAlIKBKADGHUhtOeNgPjLQDpAQksppUqO4ciYJHKkYKeyZAitqXwuukZUu/5kJopl2kQMqoU3Jo0MVqLhBqbym/S1y0JJXma4vdGy9cT536105y9CnrE6TogxGqQnZ+X7yCFB74k7nHrl2X4DigqRVIOemsLlR80KdZxjFXBx5PQwWk8MUSS8vKKi6IVUCK2EbW/OALTsizsmpPWLEDUqxc3cy+P+6yE45rj9VCp95BylM7aPOv2TTyhNU0+Pd9DecVdoAGyyRckMJihGzb5qMPPwoEDLfz3FgBKWYurVauPcOH+Sm7i5/S0v1aEH12QhS/YhWksPLzjQuVdsP7FnZCUNeu/mCgbJUx1KlFikp8Lpn1ifg3MdizSpn194j9nlX/wtO6aZHC3YdH9cmhQWNr5zf8Gfy7Zf8FSAmnhmM7DUCKw/oDSAkI6DZIUYmCXp8WKfrBzyjYbLgWKVPG5lNmn4Dpp9lkadV/N9FHP/YOacVOQIrRIAWQ4rCjOJbcixgpYslUT+3xyiJltI1YEk4UjTWQou8vZCBl3svHLLImBIIdi0EY4xWkqC669W1JTCcuTGWLlp1rNtKzH5ykwfjKplkhACMckMKexybTdkGKWDZxQh4PIIVbI4pWcXZjpMx/pohy97YhEeZKY6R4DFLswhBxMWY3bTyAFKYJn9OIAEKcG4lzHh+LGB+mu0+kLFLCBSl224eoEfv/cFx7jMYeWeB8Xlfs9K6GCFL08xuAFCezuIaTFiDFYV1GC0hRNX12cyEnSuc2SFGh9A0ZpIi7iWaTpa/e3kSLcwBSeFuMR9ee+gAp8+cUUu6+jjTsuM204pdadxqAFPmAogJS9H2oOEmLFZCy8Re/5jLGLztBBmVjCEBKqKteQ7VIcQWkzCmi3H1tSOyDIglSeCBRu4vd+x9qRBXlAYtCdrE4Ke3bEY0eVWNpeRCvIEUPn8T+RtaWVKf5ZiBFDF56sMgXcrSt1XxV79rTEECKbC0RzyCFfbeZbWGRovqtNaT7AFIc1uaqNeWaSWZBYWAgrK8YKarmbgApzgJ3GS3YrSxS2O5yRTlRZjuiVV9T8Hhivnty8egEOlrtp+kzA09wAlL4jmg4xx8btSPWxr/+tta0Xrwvf1tg4cT8Y/klHie8Y+M2y9g1on4yqwpu4p+cQqaTy3gCKZ8v3UHLvs4O6cGuG1dKXbOT6vRqbrv2cJ/hHm32aYsXftUnSLlpdA51ON3YrUjVtUf8VlNSQk+yCPf4YzOQkt25jCZOTAzu4PETOGIFpLB3KyhoTF0611BlVSD2jh6kqASF9BqksB3U5SsCLkKitUgkLFK++OAALV3Tlnq2zqdxUzqRLEZKNFmkcEvHHm330fib0g1nSbJTe6zmIqKlCV94NQSQIr5XOO45MpGt3FwBUkJVM7JcUZ3mm4EU0VWE5cdjjF13TTVt2JhAr70Z2q+Iz+Rpzzp1P335feuQtYIVhGE3q7qCyt4zxLWnVR6Nm9pZSQ4rt1KAlNq1BBeUz73Zd6tvI/yeDq2aKOmPm+wpUF1dQ2++v5wW/N9SKiktp7QWqXT75Mvp7AF142DZy9n6boAUa41M77j+5qqQ3wFSjgb1CCcWB0+sMrjYsUhR8T+30xTsuvaIPq6lpf4gSOETyCf+5YtqkKI/WtIKyIl1wyLU5xZk0UXn7KHTB9cuukW9rUCKSntg+cUTSBEXMVxLI8sFPUi58rKa4MQvnGCz0QhSpg7bRO2GdDf8jDlIYe3wpy2ZhkfSm/lWr1m2n/77VWZwQazaZ5iBlJSkcpr5l8Z1XPgiDVJ4HA+rwID6U3v4t3vucD916Sy3SFEZC7wGKUbuPgApdVsxt3RkoHT85PgFKenpfg28WQENpiBAivHhAmbzBXGhz+fP4t9ksK0+LFLMQIrZ0dKs/DxtdqcjlLczcOwxf9dteZX0woKmxIG6FQyxA+n0EKZnAwApr76RQBs3WcfL8iJGiplrD9PaDKTw8ef5JxJVpw2271tduo+OVIeuSW1nEkaC05u1pWYJge+/vq6aGj+9+s7HNPqcAdQqvQXlbMqn66c/RCv/+29KbBxwm/bqAkhxqGysgRS++DqtVx6t3hjYzXbjVJ1ocO2hBB9t3ptF5w4opCHnh56wIA507J15QCjR/1y1KTDriLU/BoLD8UHNyiJFHPhFf954AilmCzQvQEr7TL9mKcZNpMXjj085vbU2QWYnbPTrUxMEMG59D0ZtyQpAqbZBdp8TkMLbIB/4WX7cEkKcfBmd2hPLIIWfnGA0ITWbgOktC1Trywyk8Dan312ONEjh7ckqMCBAirzWeX3JYqTEmkVKOCBl+NmHafjwJpanasSSRYqduUK0g5QVnxyiT7/MoG4di+ma6wKLedUNCpV+TsXtbOAZNZplqzjOxiJISagppucX1mppFZzZDKRYneAljsfs/6MdpLBgwOcMDQXqVmOKUfviIQvyt9Va/HMtrdxG4xGk9M55nX4uL1L5XF29Z3WvS+nUZm3r5HmkpIxmPbmQvvo+hxjouGPqVTRmxAB6Z/HnNO+1D6m8skqDHo/cPZk6tW9D363dSP966jUqKS0jIh/N/NMfNIuS0rJyunf2fFqXk0spyUk0809X0+l9jQ8W4AUZPPaP9N8X76PWGWmuvq8+M4AUh/LGKkgRXztWQcrO3L307KsdtFdhQbTYh7d5fxaN7L+XBl+YEVKzboIU2c6mU5Dyh9/76OvVftrCXuOYa8/uRl1ozx4KTjxku2KyGCmqrj0sGv7wIbXuOOy5RmbZblikmIEUEQrI3lN1wmdmHi+ClK492gRNc8eMrgk5NcGN76G+QArTuCaprXbKgQgJ9RYpvY6v0XZ1RJAigyb8PZgmISbCbfK14wCjybVH1SLFDKSI8ELWDgFSiOyClBNOIJozN7AjZPZtRYNFyvYjWVq8Cl73bgWb9RKk8CDF3Tvu1Y5W5ZeTU3tUQApb3Pz4zfbghgxfLHnh2sMW4AyKj72Q6LjsxvTroYo6Xex8l2KkfPVNAi1eEugboxmkcHdbVkYVixk+xjIL0fE3BgLZ8/GSnfx2259C5wJ2p8YqIEUcb2TWJ7FgkcIW8Md32E5zX88OHme+7N2t9Pm646h7+wKacEPAdUe8+LjSvm0Z7dkbcO3g79rQQAp7N9HFiv07XJAizqu5ZioghVmgv/Z6IOSCk/kkr0N+ao+VRQq3vmZzDHGOydy/ImGRMmjDItpztNTup+v4/je6nUdnNKsde3iG9zzyIiUnJdKMqVdSTTVz/T1Kqc2a0KYtOyizbQalNW9Gjz7zJpWVV9Cdt4yj391wDz0w8wbqmd2JDh4uIZ/PRy1Sm2oQJbVpCt026TLasm23ZmnyvwUPUtMmKdKyV1ZW0cJFy+jL79bTC4/OcPx+VhkApFgpZPG7lyBFFhXbaMC0mrzw15DtYruxcKwPixRxB8gLkGIUK8EKpPATUZjm5w4spOqUtvTDWgoeUSuzSDn/XKIlH9c2NjYJzjnUWXMB4pfsGDoZSGFHVm7d3ZaMjq6U7QDxZ8QjSOGTZa6BG9+DUbfhtUUKNx3W79boQYq4a85de6IJpFgFzxaBGT/+mIMUo50oDtJ43ch29qIdpBj2Scd27MSjQc2GLv13zvT87JP9tGVX25BJr6w/sAtSumUFAjOKiwdZ2USLnLztPg0GsstO8FquT1mZT3NdYxevZ727IV9Miq497BhtdsUSSOG6scXK0m9PCkrrDkjZReMn150gs4fo3S+8BCm8v5p0rZ9OOdFbkCIeVV2V1FXZetWORYoY84tDRtk3YQZIrPoqfX5mIMXq21SZJsczSOEbTSKkEjWTuSLFE0ixOkbdar4kzs1UQIqRhTOPZ3lCL38QljLIYXXFCkiZs3c9FR5l1hyRvSa36U3tEpvWeegZY26iZW88qgETo2vV6vX0yqKP6alZt9Dt/5xDLVuk0pRrLqb0tObBJAMvnEJLXns4mM+Emx+gyRPG0sD+J9bJ9tLr76bNeTs1C5eH75pMvY/P8lwMgBSHEnsJUmSLLoCU2grzGqQYLcjECXlmOz+NGVVDP2/wBS1HRBrfLbOEthaEdiLhghRZ/AsZSOFUPFpBCtOPL5S41UR9WqSwFsVhghsTSrMuRXSf4IuecMGNDIp6BVL+NeMnuuOhk4Ov1jNMixRZ3cv0sgLD8QpSjPoks0WMDErp9RUnnuLuoVOQct7APOp8XFdbIEXsH0UIw9qJqjm3uPMdjSClYN1OevrdLGLf0bjJodYBekuIrfl1Y2rJYrExixQGwvjlBkgRy6f/Tt0CKayN8KDZRscf8/ocfxXRgP6NPLVIiQRIEfsvceyR9YVWLogsjWyTJVyQomr9adQe9OMZy+/Tz3zELJgiaZFyydga+mGtj/r1Dbjv6i8GXRd/lBASK0sl2KzMIoVDeoCUgMp6ixQ3Qcq8F6spf0cycVdCs/kD+01cM4kQhm1SqrpJAaSYL5RlIKW0rIIGj51Ga5Y+VyfxWx+soI9Xfk9+v58OHiqhjPQWNOfBW4mleemNxbTow5U09My+NP2myzRPg9NHT6KszpnBfFgwWebeM3LoadKCscCz637eQrffO4deeGxGSFqHS35pcoAUh6q6BVJE65P0tMBOHJ/E9u1To8Vz0HcKYtGtFh783ni3SGHgg11GJn+ipioghd8vThCsQAobAJZ/3lwbCNh/2aVikdJQQIqsrUYSpLD4QD1P6RoMtsr0B0gJnXDoF0l2QMqGI4FdAvEUJ/6dqPZTVvdFI0hhu10//OijP1wW6lbF3t0qRgqb9L/zbmgfL4uREg5IkWnpCKQ8vYNy92fTyBO/p8G/6xMcp2TBZhmU6dTrRClI0cMf/u94ACmy05+M3BJVQYp+KiOCFJVTk8T0HNBHAqSIljTiInz3hh30zFsBCyE+vo4YXkO/vSAxBKTw+AkrPzzg6Phjbs20aX2RdrIKWxR7ZZHiNkhROR5dZpEiukdz7d0GKSKkjSRIEfuRc4aFnr4m65PZ3+obpJw8oAsVH/QRm/PzdQArVyyd2sPKK8bCYf92C6Tcd+chmjevXLO4NnMXEtvcZWN20kmnBRbhACkOF7wGyY0sUhgA+eSt2Zp7Dr8++2od/efFd2jeYzOoeWpTWrFqLb3x3nINpPCLueb88/EF1KJ5U7p98hXELFI+fWs2NW2SbOsFZvzzGRoysA9deN6ZttLZvRkgxa5iuvv1IEUWsFHrSIQAX7JH8g+fxS646vIAPRfjesjM78V8rBYe/N54AiniooNPRkXNrPyKvQIpPNCvOIEESNkYNEuXTQpVJ3cqMVJYGxCDrbJ/hwtSzI7KlX3n0WKRktW5QtvVYf3S1l0ttaKaufbYASmLc3pr+cksbVT7Kav7ZCBl2pAN1HZYz+BkiZ1MdEKv2p1Ir1177AS304MqWawaM5Aitl9mmqxiVi9ac6iAFNHyTky74Fr7WYMAACAASURBVKkdtPnXbDr/+G/prMv7hwVS2MbB7CdC46ZENUhpXUATptSNfSB+4y++WEV5O5pQVpejlL+9cchu55fv76QlP2QFT3uyAimNqg9q3+X1Vx+g3O1pdU55mzmjmvjR3Pq2xMskghR+jzg/MZv6hANSeH68bbLFFLPW1F/6YLN6kMLbpmjNaQZS+LvxeE1iHAP+zYuLLt5+R/ZaTYMv6xssnj4gaEZqEdU0bqm55FrNFVgmKq49MtcCNyxS7IAUdkrY6NFJmpWGWOZ4ASliv8bqTbRKcApS+Als+jav6tpjBO7037gdK9aQ2GZhntqzt6xrHesemcU8f+/kFL8Wa4pf4YAUfXwUlhebh8xd2M4WSBFj8wGkOFzwGiQ3Ail/nfUcpael0vSbLqcav58OHS6hlV+voyUrvtPASUVlFd1x31wtdgr798bc7dSrRxftKQvfXkbbdxVqlicsRgqLtcJipLATeLbv2kvt22ZQYmLtSUFFBw/T3v3FdHz3wPHeW/J30fV/fpief3QGde8aiKXp1QWQ4lBZPUgxWowYmfzxx4vQhPvsxStIEQcdM9M7K9eeSIIUPnlm9WllkcLrHCClmvhOkQj4YgmkmC2eZV2LDKSwoL/89CA73ZEMivJgdmxH67djaxcx+hgp3AWIu4Gx58YSSNm+9VDw1IRG5UXawn7ameup7Xm9QnadxJ1IN0FKp5YFNHJsG8psR8EFLUBK3eOPjSxSxMWMPsCkmUUKs+KjRoETR/SBstnfgovhzmUa1BAXSmHFSDkGjXq0KqDxU81BCm9f/NsSx64v399ES37orQxSEiu3aUfGj79kO/24tZNmkSqOK2bfKu9Dply4hTL7d9X+qT8RyqqfcQOkGI3dXoOUnm330oVXttJ29M1AynnHfUtnX9E/KIXsZBX+oxOQwqAhPyFuzQ8+DdrLTk0zqhMV1x4zkMLfi8dO43MU1jfGCkgRrXdZfyEDE+y9eCBxcR6mdwf0EqSw58ogRyyDFPHIZiMYL8byk7Xj7u320YRJxseoy9JEAqRw1/y0lhS0AJK5wsaKa8+7RXlUVF03ELdVf+/097Etsym9cV1rEea2c+/sl2n1uk3aI/4y7SoaemYfuvmu/1D+zgLtNJ1xl46k95et0kDKzAeeo6/X/EzJSUnUuUMbmvXXG7R72Kk9Dz/9Oq38+keqrKrSXHXmPvTnEAuVwn1FNOO+Zyh/R4EGW9JbtqBJ4y6ic88+1enrWaYHSLGUyPwGpyCFm6VuzSNt10kcNN0CKeJAvu67/RrNFS87dNtIDTeDzYqDTnbnMpo4UX7uupsgRWb6bMciRT/Y8IFFFiOFa5je/AgVHQ4sCsK1SPny7RxaktMnpFoiGSNFdDsT25F+0cIWBXxnwMq1xwlIESPg63d3xIW0WxYpboAUcbHHT+CQucXovz0ZSOH36CffDQ2kiPXsq/I7Aili4McPFycErZPMTu0RF1hp6X5tocQDSqucEhCuRcpjTzbSdshj3SJFFaQc16kweDIb09zIDYTXh2wxzE/SMAIpu1f9SM983F87+Y0Hm+V9ELde6NF6G42f0jHkE9THWHAKUsQ2zR7E+syzTt2vuZmIC0P2/yog5cYL11On/oEjImMJpAQX/kJ8MRWLlO5tCmnLvkBgXK5PfYEU8fQWmZVkJEHK/Q810qwDogGkiPMkO6f26L97I5Ai3mfk2lMfIEUP8VkblQWbjUaLFDdACrMWGz85+kAK79DNrDXZPRykXHDSChrw28HBcUDfDuv71B6Hy1kkD1MBgJQwhePJwgEpbAL284YEykj3B/3iZQsgOyCFB0iTHTHLBw52xJ2vuiS4eOfP9AKk6E23uUnr6FE11P5YnBIj6cXOycySJwSktMoj8oUef2zHIkUGgtwAKarNSwWkMF/P1DbtSaTnX7y9jpbmhBJXJyDl86U7tMB/LADg2SMDJnLsMjr+WHw/gJS6Zuz6+pdZpLB72Lf529/4lYJy8jzrE6T0aJNHufuyqXubAtqyrzYIGDOrd9u1hwccFeGQKkjp14+Cu8E/fbNdW5zq+1rZQke/WA1q/sEBWrqmFkSzBRu7xJNl3AIp4uSbL+z17i9cEy9ce/gxsOz9VF17sjoWaZZC/HJqkcKPGRXzMwvSLAMpfAwxAinrl2yiN7/pTT1b5WlAjl16kMIgy7gptf0hG8/YJgiLtcXrwAuQYgToeRszWlCyd4hFkMJOnfL7A66Wdl17urXeQ1v3t9fqzyuQYubKKc5HZEcMi0GEvQIpsvLxviEckMJi0ny64ljspgnmp5sY9UGiZYFYBicg5aUXjgRdUsUx1kuQwl33hp9dTsd13BNy/LHYV8vm07EAUoxiVhmBFKO5jGzOawRSzGI3RcIihZfVbZBy6klFdNyJacE4fJE6/lh1vYH73FUAIMWhnuGAFBkg0U/u2b/tgBSxUxs8KrALxS89gde/shcgRb/jaGfnHiCFSHb8sexEFrdBilE74iCFxXc5ZUAX4hZUYlsyAin8hJeRp+2kwWMyg+1aHLxEKCAGB9O3Yaso67FqkcIXq9ySSeWbjCRI+ctNm+jBZ44PVnePNlspd1834v/lP0QbSBEhDHeX0Pe10QZS+Akc9Q1SxImsKkjp3i5fW2DIwAf7mz4Og/g3WYyUSICUlW/n08c5PWyBFJn7qRlI+eL99bT0h76a1QsDMrIYKTKLFKcg5ZdDJ2iWrvxScVFh93JLRwZMx0+uBUhif28Um4XBEH5Ci+xoUX5iEc+rQ+ti2r0/EKeJXdz6JBpBitk8JhyQwgA6szAzu+y49sjK5wSk2IkdFimQwuL8LHt3RwgUl/U3RhYp2/Iq6YUFtcEvVWOk8O+bbVb26FIa8yDFKAC6HnC5DVJkR3/L+qVwQIrewp+1C7MYKbzduA1SxPmc/tS455+QW9ibdgL4MaoVAEhxWD1egRR9lG6rYLNugxR+ilC4uxH1CVL07jSsk7YKNiubBDw9t5H0dB8ZmDKa8Ko2LxWLFBGkdDu2Vtm5eq2rFilG7WjBMztp897a3Xz98Xbigoj9v3gaQM/W+bR5fxad3y+Hzrro+JDTqHgcDxEKyKyq9H71RsegqoIUcbLPymtnwijWqR1AyNKZ7eKImroNUlatakwffVxbcrsxUkTfc5aLGyAlI91HrJ9h8WH0x1SK7l9OLFLMQAoPAG4EUmQuZjxoqLgwZf/vpkUKf269gZRT19PgC3oFv1M+KeTxZsyCzUYzSDFa6EYCpHz+3k+0bG2/mAEpHNCz73z85EDwP/1lBFJEICIDKRwiGY2NHKSkN6+kosNJIXBFf2oPs8CYMzcAiiJhkSL298lN/CHH54YDUlTmBwApoS592viTmW8JUrjbsX6uoJ9LxCJIYTCpopxCYnQZtSWjYLP1BVJUN4iNQMqzC9rQlj2Z0lN79DDebZDCNwV5mzFy7WHPPeesA/TplxnE3fz4nBggRaXXi617AFIc1pcqSGER4G+5LXDUrYpFSn2DFH0nZrWw04OI+gUpR2hrQSD2CLsYSNmWu48+WRXwnxb/npUVMM03i/Gip+X1DVLEuCQje38fGZAyZydt3qcOUt5ddJi+Xx/wiTUCKeIExglIEY8OLy3cHtwpMouRwtsAi8FT40sxBCl894SBF9mlByksUJns+EKe1k2QwgNCysqln3x7BVI6pe+hnUUBc3p2GVmk8NgvWV1r6pxAIts5jARI0bt8iKb37F3kICUQNJRf7Nji9DRjkMJN7cvKfCFmvmYxUuyAFFYO1jeruPbwMrP7zU7t4aeexLJFSnqLSio6FFiE83qOFEjh7guie0e4IKVbx19p665W2nvIgs1aufaEa5ESDSBF7NeMYqSIY7EZSGGWlM3aZlGzpn7a/N02zYUrnGCzXO/R5zMX5cB3z/tagJTACRr6uaLbrj38mxbdNHlbEV17+N/cBinM7ZkdDMKO5u7RLp/GT+oUDGose3/2N7dde/j3oGJhJgMpbDwuL6cQ18RIufY4ASnMMnbBW2m069dakCI7PUjsK920SLEDUvjmk378AUiRTqVj+o8AKQ6rTxWksMdwivzzBh99/W1gANYffaf3eWfpZEdj6ovttkVKNIGUkwd0kS5O68ZIIS1YYHbmQcorSAtKxAabnRt/Dh6vy3+QBewTJwF8YGFHOHbt6g/GdtHvaLD8nFqkjB6ylxavrI29cNpxxZS7Ny3E7De74xHK25Ua0h68AindO+6loSNaEwdNC3QgJb1FGRUdCpyKIS7Q+P+HDN4GFiniYn/VfzfRRz8GFqh2LVLEgZS7ArDBSwWksPuO+LtqEwrZe5gdu8ygyTvvHvMfH1+jaWVloRItIIUfe6x6ao+RRYq+HzICKfqdInbM+8ZNAe0iBVIOHyimA0dqA95ZgRTm5/zr4ZbUr69fOyqUXfz0Ff7esj5c7Fd4ezAKDivLRwZSxP5F1IxP3OsLpGwqP50OHgjE3Ro1IIe6ZjeNCtcesV2qghQxjVmMFBYf5YcffcHjPfUxUvQghcHYpYvyaHVuD9sWKfq4FtxNRzVGih6ksFMqpkwyj3XBdIg2kML7q/OGHqGLL0qjXw9VEOt/8/IDMZDYJYIUNmazd125JOACIurIY+EYgRTxSHj9XEH8nvWWcioghc/3ZBad+r5U7BvGjK6pY4EgQjTeXiPt2iOecMLHQqcgRbZRpQckRhYpZ/f5hT5fd1yIlG6DFFaWnm1T6akPao8zdztGypWX1dAJvWpjrhmB93BBin6jllmOxQJIEech/EhzGUgRx2UvQApzyRs+1E/8FC7e4Hq2zQ9abgOkGPVoDe/vACkO69QOSOEft/6/YhHY+et/m1HbqbHfxE6B/79+cHhjYQHlbO0kNXcLJ0aKKkjZsDGBDhQRLVkWmMzIfODvu/MQPTe/uQaNVDp+fYwUo0jmuzfs0HYF2MUmR+TzBqSw/Nmk7JKLA4FyPQEpZ+bQ4q9qd7plp/3wv4ntwQyk9MjcTuNvrHt+ujiI6ic9omVISFwEHUiRfTZ84NBPElUsUkTrCvF0HxbwsqLCF3KsIV9IDhrIdlSI1qwNHC/JnhsOSNHvbIma8ICbMvNqsZ3qFzZG7dwuSDELbqhikcLretS5FOLaIy72+PuLFhj6iZsqSGFB5XL3tQnpC9g/ZEFS9YsKVn/cZS1vaykt/7w5sWMvs7Obhez8svzMgs2+/Nx+zfSXmdZmdW8ZTKuH1lYgRR+TiNXFG6+U04EjzYLNP15Aihh8WnTtWbLpjKAWDKR89E1tH8Z+0C+AIhUjxQqksAnvuJs6abdx1x5VkKK3AuF9w+OPHdZAnR6kiOMvi5Fy9gVdqGjzPnpnVWbwOGR9m2b/1gMANyxSxDHabOrjFkjx+UiLlyI+973Xj9DqX2pjoujLIfum+MJ55OBCGntxBw2k6OtBBCk8TzHwOj+t0AqkdG+/l7bsCT3ZUN+/a31Vls+2RUq4IIW9j37+JHP9iwRI4fXJrDRli9j6BCkiMONtQD9Xzv1pN81/p9Zdza5rjwhSOrUsoJFj29CS9/bRrqJA0HW+YRqYNxKlpNQewy22daYTG1N25e6l9z5pT8xqvXlGy+Dx2CxQ+sFi0g4XmP1EbZwjcU2gMp+WWaTYASkiWJTFtZNZAem/6R5tdtH4yQGLcCcWKaogRdzoE0GKGDB4+ecpwWKKcw8e/y9k/vv0Ts09nVuk8Drg3yXPiM912b8BUsxGmIb1G0CKw/p0G6TwCYeRa48RSNGfqiK+ltsgRSTX+smMbKL8rxk/0dOvn+Q6SBF9rc1AysAzaiixIrfOTgUzz92w0adBEmYhJE72RGsDrqXMhJf/Ju4YMzPi1RtrAy6qNLHRCiBFLAefkJmDlHwaf2NgsSBesQJSxLbVrfMR2rqj1l1LnMiKEya3QYo46Ov9/cXycaslfnyu0QSHW96MOiUnaIEjll8fbNbMwsUMpLD2OPHalCDAiBWQIgbGZLqIp76IE14zkCIGBezao40tkCIGpE1Pq6Sig0nBE2tk/WjEQMoxazTeVtjJEXwiKHPtEU9JW7G8kjb8Ums9xib6GzZQ0MWKxT7hp76x/GWuPXz3j/0eLSCFuVVxSyGui8yEXmaR0iSxnNp1SCZ2itzmL/K0YLPiZWaRoh/z9JsfViCFH7FsNK6w8rLLK5AyfJifsrv4g9aGsvGJgxS2MBg3pe4YwtKoxEiRxZ6ym449KwhSztpJYy/pKgUpKYkVVF6VHPI6YYGUdvtoS2EABvNLb/HhFKToLczM5ggsxsLRxHamIGXK2HzK7NNJahGpGmyWLxxFK0yz+mP9zqJ3E4KbGEaB0pcvL9OgOLvSmx8JnhppdGqPE4sUFZAi9nWsTMy9d+LEQADQJkmNKCW5ERUdrqyjpXiUNrdIkdWbzILcyLVHBmWZ5qwu2MU0lVkvWbn2iO7OIoRh8+RxUzuHfLt6K3h9vchOe2Jls3NqDwMQ4yYH+pFIgBSxXkSQIs4NRFd/UWOZhSw//hggxaynit/fAFIc1r0epFw3rpS6Zgd8s/UTBrZg58cl6ndHxWKIE2P296zOFZS/IzBBYJ1+3o4mIcdRsr/XB0i5dkI1fbI8QRpfQhwMRZAiwgu2+JRdRhYp+rSqIIU9w2iAZQOVfjGkj5XAy2gGUmT522laXoIUI5NNVr5otkgx8/+PNpDCtBTbDfvW2Y6dvo1z+NGz7V7avDd011MWbDZckMLa4zXXZ0QdSOG7VzKXBdmE0Q5IuarPZtqT3oPWrQ648LAJlBOQwr9f/QJD/K5lIOX6qw9Ql24ttNtUXXtatqii4kOByfxvRuyhjj3ahpxMobdQE3fmZCBFbDcrPt5PfDee5S8G32YuVlddXhOcFLPf3QQpoquX2N/oY2iJ4yVvI+y/2d2aGboKyazEVEEKr0Omxfbvt9YBKReds4d+2pJJhbvLqayqSdAlR6xTsR0wWM9hfLSDFFZuVt49BT7DzY1oBSnnD1hPv/l9HylIkY23DQGkyNxU2buKbZ2d8teufy1IYXOlMweExn+TLYj35OygOW8HNn2sQMqtN1drFhI83hXrd/T9m9WcQj/PFb97njbSIEWMZaQCUnp320lFB1vT7l9rLRqMxgT9Mdz699fPcfj8vt8pVZSc0sg0BICZhbfMUog9WwWksDLnbffR8hUBS7JIgZSigxQSdF4WbFYc9/TjlNgHizqff+ovdNYF3bQ/uQlS2ByPXaJbOCxSZL1ww/8bQIrDOtaDFNGvnvuM6h8hm3zrO1gRwnRofYB278/QbpEdgcv+LgMpnEoXFfuCsRxkr6tfTLN0r72eYBg3wshaRhxEjUCKPlaArDx6kLKjuKvmj65PawekpCRXUnlFAHDxS8xPBFvhgBRxpyWcJqUHKd0zD9GWgsBizKz9mJkzswnCkJFdgieKGO0Aifk7ce1hbZ8FmBWD4bK87br2nDuwkIaMbFXHdFtfd9y0mv+dLQqH9ttmK9iszNda/B5ULVJYGfTtRrbQM7MisQIpaen+oKlvepqfzPLq3n4XVSd1CJrV6y1SuPk6C5aXWxgIIsx2XZkbnTiJ4tqG49rDJ96iabKXIOX8nttoyeauwWZiF6Qwv+eEo6FxVFhmdkGK6CKlClJk37hoHaMHKczVZtnXgQWQE5DC26j43Q/IyqfeQztTfu5B7dQBdrH+LS2jGTF4Pv/pHZS7P5tGHPctffJLrWuPrK8yAiniEaT6fkkEKb+WdgwGrWb5i2bkboGUd96uoKKS0HhPddp76zwaPyVwDLAM8IpjuisgxU/adym6mYj9Az8i226wWV5HYl8ls57jIIW5Lvx+Qhti/Y3+smtZIht/ZG1GFqOE99N2QQpzlxDdrbTxqFWeNNgsX2SJfSIvn94ihZ/6xvt9Zq1oJ0ZKhzZHaPe+WgtL6UB/7I/hgBTRLUFmkcJ36cU5lBVI0YPumTOq6ZXXAxtpsrGLv5PYt4jvacciRX9EtlGMlHAsUlgb6XNaS23e0qFNgqVFitWmmROLFN5eebti2srWC/xvMqs8ltYJSNHXs/i+eteapd+eVMd9U9aWVSxS+MmavB3KQIpoyaUHKUbrKn5aJCvXrAePUnllSh1XcRHCqFqkSN/zWDxA9htce8x6tYb1G0CKw/rUgxQRdOjN1MVJjB2LFLGIPH/9JFIGUsxOB5INaPxvsg5MFoRV7Ox5WivXnnBACo/h4ASkyKrZCKQwU+3MtqFH4hpNmBw2n2DyOiBFYl4saz/RBFLEtim2b7sgZWT/vTT4wgzbIIV9E6MG5dcbSNHvUNgFKSKA4t+RaFmgn2iYgRT9RLMOSDnWvsQdFLZY2LS7i2ZOrL/0C8uMZgfoQElgkS1eYowU8fhJnqdbIIXHR2KLHt9Rv7YwGn7cVlr+S2DniV16axarGClG33I0gJSUpGoqr6ytFxEouA1SuA76Omd/Z89yA6SIi04zkMIm6uKlByn9+/lDApHbtUhh8Ky4uDbQtNG797ABUrpn7qUtBbXWZuLChMVI0bv26J/Zo91W8lUnaD75GaklITF5+L36hb2s7V40KI8ON5Z/z6ogheUrLsrF53gGUjrsDbGgYs8MF6Tw8or9Egcp5x73LQ25on/wleyAFFEHmaWqaOVg5CqjOndwC6QwFyEWO4r3jYNH9SIZSOFuzfqFqX6BzQDcJysCVk1GIIXFU/nxm+1SV2c7IKXOOGNw/HE4IIXnzd7hgpH1C1L07coKpMi+TRbc+sMltXHjxPFcxSJFX889222mzYU9g+2G98ki8Nb30/r6UgEpa9YFAkez559wAtF3n9VtN05BCu+z9GOb2NZZXDYen2348ABgl7n2yL5fWKSo9mre3ldT46cJN8+iHlkd6Z7p13j7MCICSHEocSyAFKtXNAsOxtOqghQZnBBde/jEVVxkMgsY1oG2TAucjqG3SLELUtq3KqE9v9YGhDRbIMlce9j9RrsAbOdp/eoCevNDud+4ldZGv0cCpLBdNHYCiWgp5aZrjxVI6a6DQ+IJEiIUUAEp7F1YW+InNvA6q0+Qoq9buyBFbHP1AVLaty2jpJTQo6D1izyr9p3RrIQOlAS+Pf4+4sTMDZDCAvTNmRuACmziQv4ASDmz2zb6amutRUokQAo3xRZ1MbNIMepbZG1HtEjR/y4CBbYryb/pswf7qXWr2tME2GLHzLVHZpHCnyWL48Ce9dGHFZq7ixOLlLBByqnraen3AbjCgDe7mLWimQm9LEaKVTs+77RCWrY6EByRXbZAiq6fUwUp5w4opI+/qX2mWRlP7HGQfs6tPZnOaoyTtS/2NyP3AG6Rwu6JNEhhQdJzC2qDgbIypCSVazvJdi1SgvUnBMFuklgWbL9DFUEK6xu7ZiUH3aFEPWUgRQxmHEmQ8tiTjTQwKLNIEeE66z+qmvamw7sPBgP/6i0BwgUprI/4Ya2vzlxD3wa9ACkd04tpV1FoIGN9+9XHSOHl0oOUl144Qlt3tSTuqslBWzgWKQue2Rk8zYU/T3SNkn2/XH8zixTZtylag9eBIq3y6NzfdQmOn3w8Ek/t0ac5ru3P9MveE7UiiuOOLZDSOo/GHbPoM4qRIkK5vPzQkAGyMSkcixQjkJLevIyKDgegifheDDayKxyQEux7MgOxCvmY5+Xxx0X5fjpaYTW6uf97RpaPGoWGp3L/ITZyfOnNj+jzb36kLh3aAqTY0K3ebo0WkPLycwe0SPMjT11Pgy8IfPwyyxKZUKxDZxT7q2MBV/01NXV2pVmAQnZiDbvMXHt4JyxOwhlImftKZ21Q4pe4yOQdPz9S7Kdv2EQq4G4gBncys0hhkyN2sQm+6mVkkcIHF6OjqY0GYtXnyu4LF6R0b7WLtvzaMSRLPmHSu/awm/RuN8xUn7lecNNtJ649dkEKKw+fTNkFKTIN9RYp1YnttHhCPG6R0W612ak9PJieDIqYmdXzNsQmKKJVyZ7vN9DinNCTTcRvgrc5r0FKj3a7KLewY9DtipeBLU7ZwlR/qUTm16dxC6Rk9cigZ1/tQGxHdcINrSn0FJRakJKVUUT5B2qPNxZBCo9PJZZRf2qP0ffL+on0dF/IUav8XhlscAukJJVto837Av2gWX3oJ756a4NwQYrMxUJ8VrdWu2irru+x6gN5uw4XpJzccRf9tCu0v2PPNAMpvEwyCxuj8jKYu3RNaAwj/k2z/8rGBv43PTAWn2FmkWL0TFkZVYOV6tuG2Nfw9zBz7WH3RB6k5AfHf/27hwtSZBoyEKgKUlh6O5aqYpBe8eQ3M0tko7ZoxyJFPB2NBZFmF/+bHqTorQjsghRxgS+2M+72ZNT2+HvKQAqbj1i5orP0Mvcrs/6ba8HuUQUpfL7AXJa7dE8jcV5q1s/pwQf7d1LpNs3CTLzqC6RUNssK6b/43EZ/sh4vqxFIYS4zS37oTfy/ZpqI34MMpLB5aVFRrXWTmyDljJ751L1/F23jjW/AmI0FHJSFBFjnp/YIrjuy9xUtUvjvepDvJUhZetdROrSnrhum1bjs9PcRdzai9KzAgR3idaSkjGY9uZC++j6HmJXIHVOvojEjBtA7iz+nea99SOWVVdQqvQU9cvdk6tS+DX23diP966nXqKSUred8NPNPf6CzB5xCpWXldO/s+bQuJ5dSkpNo5p+uptP7Bta5+it/RwH95f65dM3lo+mbNT8DpDit3Eik14MUtnOxZ28gGKwXrj38ndjC4MoraoIL4PlzirRjRzmlZfepghR2L4svsXFT4EOQlV2cbIUDUtjxx+KCVVyY6vMTd2LFjskMpIRT17EKUsQdEbsgRaYT08GXEKj7xNIc4hMscQK9QOH4YyOQ0qppEf1aWrvA1U8m2L9lbipGPq9Gda0HKew+1ub4wlYVpPDnskCxOT8HBnd+iUH8rEAKm3j3O8Uf3MVkaWmnMUgR61UPUtjkNKtrAHDyxgJI6gAAIABJREFUenHi2sMnorKBX6YvC7DHjle3c7kBUtjz9L7GdkCKPlipWH6+y221KGV6q0zseN6ugRTJ5Js/QwRbnoEUiYuF1eLIqn04BSmii4b4LBWQkpJcTeUVdd3WZGWOdpDC5xlWeouxdMR7LV17/m8dLf351OB8QFyI8ny8cu0xin/Bnju07y/U78wTqKKmkvgJaVYaGP1uF6SwfGQWaDKLFDbmnXJGS+10pE8/82mxquyOZ7zc4YAUdvT7sBGBGGt2QAqbB+TlBY6strJIMQIpvNxWfYVqzBxZ/bHYPTuLA25KVhdbpJ9wPNGi93zaeNys8T4ST2wRyyu69ujnC6pjpSpIEefcsndQsUhJS/PTVVfUBDc5WT5WFil6kMJiMF7+h7TgEcuqFik8/pU+DpbsXaxACksjzhdUxltVixQOtsV64SfyycoayyDl0weqqLzY6otw//eBkxpTRre6G3D3PPIiJScl0oypV1JNdQ1VVh2l1GZNaNOWHZTZNoPSmjejR595k8rKK+jOW8bR7264hx6YeQP1zO5EBw+XkM/noxapTTWIkto0hW6bdBlt2babrp/+EP1vwYPUtElowGcGaybe+iD9ZdpVtH3XXvr6+xyAFPeruzbHx5/7P1q2crVWGewqOniY/jrrWfpxw1bKaNmC7r39Wup/csAv0Ow3PUhRGUSsBlQ2KZw3vy7d0+shLnSdghSrQVEVpPBFj7g4OevU/bRhUyMt6Bu/jECKPuCjlyCFTTZ4MEW9tszNqPhgaMfAy1zfFinigrtji/2061DrkOLzRbLMIkX2TYkDp36BxifQ3LTR7JvkdW4Ud0CWlls6uQ1S2CKZXcwcnC9s5z61n3b9Gjr5kk3azb5P8ZuzAil8csD+y/3Im/y60dAiRQyopwcpLA8x5girFzsgZfTQfbT4s9ojPXkbYcfAllXJTx8Q68vKnFlWt9wKRNa+UpIqqbwyEPyZ+yQb7RLpQYp4NLno2pPZ4jAVHAocs8ku2akvsnI6ASntWx+hPftDg0ZeNmYndezZXgsMzI8hFtuUVf/P241sF5OXXwRbdkEKA4SlpX4NyvE+TRYQ0ixAt1k/YPYbf3f9qUMsDV/wmZmMG4EUfqJbwZ4K7Zt3eqU3r6Siw6HByVmerG9La+HAIuVYoFNZ+Xp3PUQ52+QBxsN9HyNLMiuQ8uUba2jJptBAwkxj5rJRXkHaiWSiW6WsfPp2rrpwNgMp3TvupS272tYJ7B2OPkYgpUlSOZUZtCFZ2fjxuQXrdtLT74ZaHYjfpsp3L3sPNpb5E5JDXNjYfbJTe0TXhaHnttKyk4EUrqP4PFk/YmZBYzVntAIpQ4f4qUOmn15703quG079yt6Nlfn49r/Q0m+Or5MlK68bIEVv1WlkkWLVHlRACnsJvUWZXZDC8hDrykuQwtpiSnIVlVckBuMe8Yrg78v62LIyooqKugvzcGKk8LmGld68HKYgpc1m2rwvsC6UXfVtkbJleTVVHHL6tdhP321YAqWk1a2vM8bcRMveeFQDJkbXqtXr6ZVFH9NTs26h2/85h1q2SKUp11xM6Wm1c7mBF06hJa89HMxnws0P0OQJY2lg/4DLGb9efH2xZr0ydeIltGTFdwAp9qtSPcVPG/PoP/MW0c49+4Ig5Y7751LHzNY0beJvaf3GrXTbP56mD+Y/oJkRmf3mBUjRu19YvZkWANChRYrYyYgR6fmzLzi/ggYMCOzmme1EyUCKbKFiBFL079qkcTmVHQ1MjN22SDGj0jLNWZl9vsBujduX3rXHaMHAnisGjZOVI6NZER0okVuAyO4XB05xghVikXLMtNHsva0WpLK0fBLgBkhhC/fTexfQ+5+2D3kUBymydus1SBHNwZmeZiBFLDQ/8YYvxMXfeL18+XYOLcnpI60S/XtltCihA4dqBzM7ptHsAeGAFF4wsT+TLeysfK3NAsOJIEUvhFsghZW/oMAXcoqZ2XfAwHHJ0Yw68Xv4okRlQmc0+ebPlR0fzX9LSamh8vLA4oQtfpevOGp6YhlzPzM6WUP/nnbHJn16FZByWq88LTilrK0Y9YtWizY3+2ur+jPru3mgU1l59CczuVFmI5Aiiy/DnsePtj0+5bs6ICUcGCguxGMFpJjpzq3YxHtEixF9WjdAipjnlZfVUJMmfkpOoZDj0fnxx6ogxWoewH63audOQYrKM9z4Blge/FQW1u6bJpZS0eG6CzsrkGJmWWtWznBBCgcysnoQx3c7IKVT2h46mpJZZywzq0sj1x5uiWLW33Fd+Olfs5+otQjUz1Fk7rd6XWUghW9sWs3nrdqzfmxlfecvhQE37MSSgGuWqIWszmUghZ8KlVC5V7OE8tK1J5pASmlZBQ0eO43WLH2ujlRvfbCCPl75Pfn9fjp4qIQy0lvQnAdvJZbmpTcW06IPV9LQM/vS9Jsu01x8Th89ibI6126ClpSWa+49I4eeFsx76/Y9dOeDz9PLT86kxMaNAFLc6jxl+VRWVtG4P86iu24bT3fcN1cDKcwcaNBvptLy/3ucmqQEdqH+eOeTdOmYITRkYB/D34YN6ktegBS77y+CFH50JYMhdlx7VDoZWbBSfVndBili/m6DFLs6q2hkN09+vx6kiEE79XmKR+SF+zyZrvq82M5Ay2PxDPlAYvY8JyBFBgXC0VsWhNEMpIgxeFS0bNfWT9lZfm0iUlBQo+QqwN+DLULbHzV27VGpE3YPByliQEh92c12ddm9kQQpYj26AVJYHRTuDcBMNkFjwWZ3HgyFZ+w3t0CK3XZtBI4jBVJU2hEzCT940Eds8sosVHZu2BB06TP7DsL5JsX8ZCCF/S7LN1pBiix2jPiOKYmVVF5V15qF3WMGUjq0Kqfdvzq3phHLouKSJ7M2Pf/4bx2DFP134ApI6bCPtuxuo7WXBH+5FgMr3MvIIsVufpEEKbxsestdPUhh2k+8NtCWZBYpsnd0YpEisyZUgZtO+xPVulJ5jghSPv3iKH32ycEQK2rVZ+nvCxekmD1PFaSogm/RisauRYoKSGHvIh4xrM1BDE5eMnvv7u130ZY9gRhZ3LVHdRNApQ2wfEWLFO7m3qppMf1aGhrEWFZOM/cv3h/GC0hh+jAA8slbszX3HH599tU6+s+L79C8x2ZQ89SmtGLVWnrjveUaSOEXW6f/8/EF1KJ5U7p98hXELFI+fWs2NW1iHNF27oL36flXP6CEY2EKjh6tpurqasrq3J7+++J94X6+Suni7tQe5o/FfLNYwJurp92vgZTCfUV09R/vp2WvPxIU7bG5b1LLtFS6YMSZhr9de8WYsECK3Ym5VU2yifAv3/+qxUjhF5u02AEpVs/gv+s7Q6N04jsavS8PLiueImNWDt7Bs3T9+hJl0m56bUXdwIOq72L3PtWO2G6+7H69xUA4eYSbRmWwVfEPDqddm022sjsdoryd9kzdzYJ/yixSVN4rXF15OtFktU3SPtq8t24QS/0zzHRhQJNdB/cfoaKSWvNHMY+OrQrquDGJv7NTJTbvlQcylb2vE4uU5GS/1EyXP8euRYpqfbDA29k9m2nHYZtdVu3W7rvL8uPggpVDpR9xYpEivquVH76+Dqy0VSm7WR48fWabcirYZw4NZCClY8ti2lVcd0KrsmizejfV38NZAPC8zUCK6vPt3KfSdmUgRRZ7S3yuSjvQP9sNkNIjcx/lFgRAytGSQtM+zkqn9CaHaOCQVFq8JEHLz+yULLO8RNcbs35cRTOrMhv9ziBc205JQSs4Fg8oO8tHvXpR8EQvqzFB/w1ZWQhYAfJIfpNWuqloz+a27dok0JJPGZuXB123eo6d31XKZJSf2Aexcicm+bTT2pg7elGRtdudWTn1FumiFUZG6iE6cCQwJ+ObfaogRf/McPpRsSzHtcmn8wYQbd57xNVNgPTmJZrFUjgB9vmJYDJ9k5OrqaKiUdxYpDAN/jrrOUpPS6XpN11ONX4/HTpcQiu/XqdZizBwUlFZpRk0sNgp7N8bc7dTrx6BE9sWvr2Mtu8q1CxPWIwUFmuFxUhh1iYs/kn7thmUmNjYsCk3WNeezXk7aemK76hwf5EWg4RdLHAMu7p37WCnDwrr3h9/3kJPvPA2Pf/I7VR86EgQpGzbWUjTZj5O789/IJjv0y/9V7NUuWjkIMPfpl17iSFIGTHcT58sl7uAtG9bTnv2urvzpO/MzjrTTz9vIC0CupsX243Py7fOs0O7ctpdGHjHbp1LaOsOuY+cmU76cuvvPfX4vfT9JutFqVvv371TMW3ZaU2l3XpepPJJb+m3bCcqwKFH+12Ue2y3QLXsZvUfzkAra2tTr86nLr260h131m23qjFCVN9Hdl9KClF5IGSL8mXnu1DOVLhRpT7FfLt33EdbdtWC2nCeaZTm/AE5tOSb3sT/q7/vtJOLafVP9r+70f1zqNuJzeipherASFZGu+9u1t+x/FX6UHZP4yN1T3rg5RPLZNZW0luyUzCsA6ye0Sufvt1orZNK2c3ahp30Ru1Bln+3bD9tzbMel9xst+HkFWmQotJ2J11HVFREtPqHWg2tQIpKn6Z/9qn9/HTgAFGehWusWb/PQUo42svS/D975wFVxbHG8T/Se8cGdlBsqLFhj100amJiS4wpErsmsUVfYt7TRKNETYyxJppoEmOMmqixYUUFYkFQUZCiWLAAonS4lHdmr3u5vbD3XuDy7TnvvMjdMvOb2dnZ334zY23N5mLQ19kUz9PSn/XDxPVSG2ZCUmLo88unTfpebub9BIn3Zfti2vQrhORXl2O1aXe02UeXa2raV8j1pO8R/jxCzqcure72acjIVf3sryyRwtIc1DoWJfbg+g/63gz1cdOQESmpV0pRlGv8VXvqtTeHlZJXPDZsZ8man3EpJp4rHjYJbO/AAMz+bB3u3H8EDzdnTBg1EAdCwzmRsmj5FkRG3YC1lRV86nli2cJgbh8270nI+t8RFnkVRSIRN8xn08q5aiNUTFKknDwXhQVfbkaPzq1x8twVxJz4kQPL/s7WfN6+dpG+7wOZ8zHz9fbMZVj9v+ncXChsAlk+IuVJ+jOMmfJfbmgPv7ElmFgBvjKgm8rf3h+nOiLl5R7AqXMGzZLMyd3tc5GRq3pCH+OlRPFKbi5FePpMeahzQCsgJla71Pk2FiHhtqVkZxtrNvZftZHU7qza7+Xt/gj35SYr1f7o6r2nm10mnqpYeYfPmbpJ+lTl3s0VeJqp/FffuneQ8FDzy5300d51CnD/kayk7BrwDO613fDPsdJqUwi+TYCEZMMl193+GTJytZcTvt5pSLhvGJESFBiLQxGt4OeThlv3FK+hrv1QR8ivXhqs7a1xLUG3qCb5c9paFyG/UHn7ZagSYveFWZHqMvL2fIb7aeLy00dd0fb5oe5+1YaFsV/2tEmTKe+jzX07ZACQmCTb3tR3TseD57KTmOvKqaIvIu6OmcjI1n6OL13TZcz9bW3BTZxpipvQtqCqMalObZN034hPd2WVh7bPDvnyrkh/2t3+CTJyy4Wdn1ca3DxzERmrWz+xMuueIUVKZearJl/baEN7hr/zHyya+Sa6vtQS7QZMQnToDxx3JjGGv7MIkQfXG7QcLl+9hQ/mfQ0LC/HXORa6xya2sbezwb4fl3LLLh3ZGSIZyzVlwWq8MawP+vZoj+7DZyj9rV/PDiojUjRNfGTQzNLJiQARIAJEgAgQgRpNgA9TVwdByBCDGg2XMk8EKolARaJ1KympdFk5AiRSTK9KGE2kMHkScWA9N5mrtEh5lPYUQ95cgCtKZvY1JG7piBR2ncUhW+Hu6oyZ74lX7Znxn29x+NeVnGhR95uqyWYNmXY6NxEgAkSACBABIkAEhBIgkSKUIB1PBIxLgESKcXnr82okUvRJs2qcy2giZdSkxdzazn27t5cRKWs270Z0bCJ+/nahUYnIi5SsnDwsWrYFUddvwcnBHp999Da6d2rNpUndbyRSjFpsdDEiQASIABEgAkRATwRIpOgJJJ2GCBiJAIkUI4E2wGVIpBgAaiWf0mgihU02M3vxd+jbvQP+PnoOb78xCGy4TXJKKn5YNR9tWqhfWaGSOam8PImUqloylC4iQASIABEgAkRAHQESKVQ/iED1IkAipXqVl3RqSaRU37JTlXKjiRSWgKfPsrH7wGkk3XmAktJSNG1UH2NH9IWbi/IlPKsDbhIp1aGUKI1EgAgQASJABIiAPAESKVQniED1IkAipXqVF4mU6lte2qTcqCJFmwRVt31IpFS3EqP0EgEiQASIABEgAowAiRSqB0SgehEgkVK9yotESvUtL21SbjSR8ufBM2rT8/qw3tqkt8rtQyKlyhUJJYgIEAEiQASIABHQggCJFC0g0S5EoAoR8PW6g4Qn1WfJ3yqErtKTQkN7Kr0I9J4Ao4mUibOXyyS+sEiE1EfpyMjMwrABgVjxn8l6z5wxTkgixRiU6RpEgAgQASJABIiAvgmQSNE3UTofETAsAV+PO0hIJ5FiWMqGOTuJFMNwrcyzGk2kKMtkaWkZtu8+iifpmZg/fVxlcqjwtUmkVBgdHUgEiAARIAJEgAhUIoHaXmV4/MSsElNAlyYCREAXAiRSdKFVtfYlkVK1ykMfqalUkcJnYPD4+Tjy20p95Mfo5yCRYnTkdEEiQASIABEgAkSACBABIlDjCJBIqb5FTiLFcGW3cft+bNyxHxbmtbiL+DXxwW/rPzPcBV+cudJFSklJKQaOnYsTu1cbPLOGuACJFENQpXMSASJABIgAESACRIAIEAEiIE2AREr1rQ8GFSkZyYCowPhwPJoCFtbGv67cFZet/QUvtfXDoD6djZoWo4mUiEuxChkrKCrCoRORyM7Jx8YVHxs14/q6GIkUfZGk8xABIkAEiAARIAJEgAgQASKgigCJlOpbNwwqUv6eBzxPNT6coKWARxOF6+bk5oPJjYjLsWBTeSyYPh5B/bpg3+Gz2LrzEAqKRHB3dcLXi6fCu64nLkbHYcX3O5Gblw/ADItmvYmeXdoiL78AS9ZsR0xsImysrbBo1lvo1K6FwvXm/G89xr/an5MpxtyMJlL6j5mjkC97Oxu08muED4PfgJeHizHzrbdrkUjRG0o6EREgAkSACBABIkAEiAARIAIqCNR3fowHz2sTn2pIwKAi5fDnQN4z41PpPQtgUSly2+dfb4O1lSU3B2ppSSmKRMVwsLdFfNI91PFyg7OjPVZt/AP5BYX49MMJeD34cyxfFAzfxt54np0LMzMzODnYcRLFwc4GH08ejaSUVEyasxL/7PgKdrY2Mlec+ska3Ln3EKLiEtTxdMPM919Dl/b+BudhNJFi8JxU0gVIpFQSeLosESACRIAIEAEiQASIABEgAkSgGhAwqEiJDwUKsoxPwa8/YOuscN3OQVMQumsVJ0xUbeGXruPXvcfx/bIPMW/pBrg4OWDaOyPh6uwoOaTrsGk4ujNEch62CvDUiSPQtUNLmdMWFBbB3NycmyPlYnQ8Pv7v99i95X+o6+VmUCYkUgTiJZEiECAdTgSIABEgAkSACBABIkAEiAARMGECNUWk5OUXoseIGYg6tkWhNHcfPI3jYZdRVlaG51m5cHN1woavPgI75qddh7H3UBh6B7bDnCmjuSE+nYZMRiOfOpLz5OYVcMN7BvbuqLamMDHTu2s7DBsQaNAaZVCRMnTCJ1onnoXpVMeNREp1LDVKMxEgAkSACBABIkAEiAARIAJEwDgEaopIYTSZADmxew03PIffzkTEYN22fdi6ej4cHexwOjwau/af4kQKvxUVibD0mx1wcrTDvKljwSJSTu5eAztb3Sa0ZREpQf26on/PlwxauAYVKQyQtlufbu203bVK7UcipUoVByWGCBABIkAEiAARIAJEgAgQASJQpQjUJJGycNkWuDo7YM6UMSgtK0NWdi7CImNw9PRFTpwUFomw4ItN3Nwp7N9xiXfRolkDrrx+2ROKuw8ec5EnbI4UNtcKmyPF0sIcdx884YbrWFpayJQtcw49urSBhbk5N3Htgi83Yd+PX8DZSfXQIn1UDoOKFH0ksKqfg0RKVS8hSh8RIAJEgAgQASJABIgAESACRKDyCBhUpNy9BBTlGj9zDToCVoqygg3bWbLmZ1yKiefS9MmM8egdGIDZn63DnfuP4OHmjAmjBuJAaDgnUhYt34LIqBuwtrKCTz1PLFsYzO3DVu0JWf87wiKvokgk4ob5bFo5VyFCZdZna3HlWgInWOrX8cD8aePQxl9xNSF9AzKqSCkuKcHjtEzOQslvTRrU1XfejHI+EilGwUwXIQJEgAgQASJABIgAESACRIAIVEsCBhUp1ZJI9U+00UTKqfAr+OTLzSgsLOKWJmLLGrGJZpg5YqE8v29YXC1pkkiplsVGiSYCRIAIEAEiQASIABEgAkSACBiFAIkUo2A26kWMJlLYxLMfvPUKhg/shlGTFmPPD0u4cU7Lv/sF40b258J9quNGIqU6lhqlmQgQASJABIgAESACRIAIEAEiYBwCJFKMw9mYVzGaSGk/MBgXDm3kJop59b1PsW/rF1w+7z9MQ/Dcr3H41xXGzLferkUiRW8o6UREgAgQASJABIgAESACRIAIEAGTI0AixeSKFEYTKYPGzcMPq+bBp54Xxk1bim+XzISXhwsKCosQ+Mp0XFGy1nR1wE0ipTqUEqWRCBABIkAEiAARIAJEgAgQASJQOQRIpFQOd0Ne1WgiZc3m3WjdojEG9OqILb8exNl/r+LVIT0Rfuk6Uh9l4NfvPzVkPg12bhIpBkNLJyYCRIAIEAEiQASIABEgAkSACFR7AiRSqn0RKmTAaCJF+soiUTFWb96NC1duon5dD8ydMgYN6teulnRJpFTLYqNEEwEiQASIABEgAkSACBABIkAEjEKARIpRMBv1IkYTKUdOXcDL3dvD2srSqBk09MVIpBiaMJ2fCBABIkAEiAARIAJEgAgQASJQfQmQSKm+Zacq5UYTKQPGzsXzrBxuaM+w/oHo3N4f5ua1qj1REinVvggpA0SACBABIkAEiAARIAJEgAgQAYMRIJFiMLSVdmKjiRSWw6s3knD41AUcO30RxSUlCOrXlZMqrZo3qjQAQi9MIkUoQTqeCBABIkAEiAARIAJEgAgQASJgugRIpJhe2RpVpPD4ysrKEB2biGNnLuHU+StcZMo/O76qlnRJpFTLYqNEEwEiQASIABEgAkSACBABIkAEjEKARIphMUdcisW3P+5BWvoz1KvjgR3fLTLsBQHjLX8snZPS0jJcvhqP0LDLOBMRzc2bsv/nZQbPrCEuQCLFEFTpnESACBABIkAEiAARIAJEgAgQAdMgYEiREpNfitzSMqODamdrDrsqMFMHG/Xy6cqt+HrxVPg18TYaB6NFpPBRKIdPXsDR0xdQq5YZgvp2xbABgfD3bWi0DOv7QiRS9E2UzkcEiAARIAJEgAgQASJABIgAETAdAoYUKb0T8pBQWGp0WIeb2CLAzlzhujm5+Vi29hdEXI4FC6BYMH08gvp1wb7DZ7F15yEUFIng7urEiQ/vup64GB2HFd/vRG5ePovzwKJZb6Jnl7bIyy/AkjXbERObCBtrKyya9RY6tWuhcL1Zn63FG8P6cMcYczOaSOn3xsfIycsXTzY7IBCd2/lzMqW6byRSqnsJUvqJABEgAkSACBABIkAEiAARIAKGI2BIkfJKUh4eFxs/ImVTA1u0t1UMSfn8623ciJP508ehtKQURaJiONjbIj7pHup4ucHZ0R6rNv6B/IJCfPrhBLwe/DmWLwqGb2NvPM/OhZmZGZwc7DiJ4mBng48nj0ZSSiomzVnJTQdiZ2sjU1Ddhk/H7PdH4c9/wlBaWooxw1/G6OEvG64wX5zZaCKFzYfSJzAAVrT8scELlS5ABIgAESACRIAIEAEiQASIABEgAlWDgCFFyk8ZIqSXGF+kTHSzhKeFYmBE56ApCN21ihMmqrbwS9fx697j+H7Zh5i3dANcnBww7Z2RcHV2lBzSddg0HN0ZIjnPxNnLMXXiCHTt0FKyT2GRCC8N+gCTxg/lfmNRLG/PXIYvP5mEti2bGrTwjSZSDJqLSjw5RaRUIny6NBEgAkSACBABIkAEiAARIAJEoIoTqCkiJS+/ED1GzEDUsS0KJbL74GkcD7sMNuXH86xcuLk6YcNXH4Ed89Ouw9h7KAy9A9thzpTR3BCfTkMmo5FPHcl5cvMKuOE9A3t3lPxNJCrm9rtwaKMkYGPD9r9hYW6O4DeHGbRWkEgRiJdEikCAdDgRIAJEgAgQASJABIgAESACRMCECdQUkcKKkImNE7vXcMNz+O1MRAzWbduHravnw9HBDqfDo7Fr/ylOpPBbUZEIS7/ZASdHO8ybOhYsIuXk7jWws7VWWzP6vvERdm38HJ7uLtx+3/6wBy7ODpj4xiCD1igSKQLxkkgRCJAOJwJEgAgQASJABIgAESACRIAImDCBmiRSFi7bAldnB8yZMgalZWXIys5FWGQMjp6+yIkTNhxnwRebuLlT2L/jEu+iRbMGXOn/sicUdx885iJP2BwpbK4VNkeKpYU57j54grpebrC0tJCpKWt/3IOHj5/iiwXvI/N5Nt6a8SXWfjHL4Cv4kEgReMOSSBEIkA4nAkSACBABIkAEiAARIAJEgAiYMAFDipQjWcV4XglzpAxysoCLueIcKWzYzpI1P+NSTDxXop/MGI/egQGY/dk63Ln/CB5uzpgwaiAOhIZzImXR8i2IjLoBaysr+NTzxLKFwdw+bL6TkPW/IyzyKopEIm6Yz6aVcxUiVAoKi/DfVT8h4lIsbG2sMXnCK3h1SE+D1yYSKQIRk0gRCJAOJwJEgAgQASJABIgAESACRIAImDABQ4oUE8ZWpbNGIkVg8ZBIEQiQDicCRIAIEAEiQASIABEgAkSACJgwARIpple4JFIElimJFIEA6XAiQASIABEgAkQAt1YuAAAgAElEQVSACBABIkAEiIAJEyCRYnqFSyJFYJmSSBEIkA4nAkSACBABIkAEiAARIAJEgAiYMAESKaZXuCRSBJYpiRSBAOlwIkAEiAARIAJEgAgQASJABIiACRMgkWJ6hUsiRWCZkkgRCJAOJwJEgAgQASJABIgAESACRIAImDABEimmV7gkUgSWKYkUgQDpcCJABIgAESACRIAIEAEiQASIgAkTIJFieoVLIkVgmZJIEQiQDicCRIAIEAEiQASIABEgAkSACJgwARIpple4JFIElimJFIEA6XAiQASIABEgAkSACBABIkAEiIAJEyCRYnqFSyJFYJmSSBEIkA4nAkSACBABIkAEiAARIAJEgAiYMAESKaZXuCRSBJYpiRSBAOlwIkAEiAARIAJEgAgQASJABIiACRMgkWKYwr2ZkIIJM7+UOblIVILJbw/HtIkjDHPRF2clkSIQL4kUgQDpcCJABIgAESACRIAIEAEiQASIgAkTMKhISXkCFIiMT6+RF2Btafzrarji+GlLsXDmm2jj38SgaSORIhAviRSBAOlwIkAEiAARIAJEgAgQASJABIiACRMwqEj5/BfgUabx6S0cDTSqrXDdnNx8LFv7CyIux6K0tAwLpo9HUL8u2Hf4LLbuPISCIhHcXZ3w9eKp8K7riYvRcVjx/U7k5uUDMMOiWW+iZ5e2yMsvwJI12xETmwgbayssmvUWOrVroTaf124mY9l3v2Ln+s8MzoNEikDEJFIEAqTDiQARIAJEgAgQASJABIgAESACJkzAoCLlq91AVq7x6QUPBhrXUbju519vg7WVJeZPH4fSklIUiYrhYG+L+KR7qOPlBmdHe6za+AfyCwrx6YcT8Hrw51i+KBi+jb3xPDsXZmZmcHKw4ySKg50NPp48GkkpqZg0ZyX+2fEV7GxtVOZ17pIN6NOtHYb1DzQ4DxIpAhGTSBEIkA4nAkSACBABIkAEiAARIAJEgAiYMAGDipTTV4FsFs1h5K13G8DJTuGinYOmIHTXKk6YqNrCL13Hr3uP4/tlH2Le0g1wcXLAtHdGwtXZUXJI12HTcHRniOQ8E2cvx9SJI9C1Q0ulp32U9hRvTvsCR3aGwNLC3OAwSKQIREwiRSBAOpwIEAEiQASIABEgAkSACBABImDCBGqKSMnLL0SPETMQdWyLQmnuPngax8Muo6ysDM+zcuHm6oQNX30EdsxPuw5j76Ew9A5shzlTRnNDfDoNmYxGPuURL7l5BdzwnoG9OyqtKSzKxdbGihMyxthIpAikTCJFIEA6nAgQASJABIgAESACRIAIEAEiYMIEaopIYUXIBMiJ3Wu44Tn8diYiBuu27cPW1fPh6GCH0+HR2LX/FCdS+K2oSISl3+yAk6Md5k0dCxaRcnL3GtjZWmusGUzGDB4/D3t/XAoPN2eN++tjBxIpAimSSBEIkA4nAkSACBABIkAEiAARIAJEgAiYMIGaJFIWLtsCV2cHzJkyBqVlZcjKzkVYZAyOnr7IiZPCIhEWfLGJmzuF/Tsu8S5aNGvAlf4ve0Jx98FjLvKEzZHC5lphc6SwoTp3HzxBXS83WFpaKNSU3/ad4CalXfHpZKPVIhIpAlGTSBEIkA4nAkSACBABIkAEiAARIAJEgAiYMAGDipToZCCvwPj0ApoA9ooTv7JhO0vW/IxLMfFcmj6ZMR69AwMw+7N1uHP/ERcxMmHUQBwIDedEyqLlWxAZdQPWVlbwqeeJZQuDuX3Yqj0h639HWORVFIlE3DCfTSvnKkSosKFCQW99gpWfTjb4ksfSkEmkCKxyJFIEAqTDiQARIAJEgAgQASJABIgAESACJkzAoCLFhLlV5azVKJESG38Hqzf9gVvJ92BrY413xgzB+Ff7ceWT+TwbC5dtxtWbyXBzccKSee+hQxtfjb+RSKnK1ZvSRgSIABEgAkSACBABIkAEiAARqFwCJFIql78hrl6jRMq+w2e5kKD2rX2RlvEMoyf/F1tC5qFZ4/pY8OUm1K/jgRnvvobrccn4+H/rcXD7cthYW6n9jUSKIaolnZMIEAEiQASIABEgAkSACBABImAaBEikmEY5SueiRokU+eKb+Z9vMWJwD/Tt3gHdhk/HqT+/4ZZMYtvMT9diVFAv9OoaoPK3Pt3agUSK6d0UlCMiQASIABEgAkSACBABIkAEiIC+CJBI0RfJqnOeGitSRKJiDHlrAXasXYRatWrhrZlfIvT3ryUlw4YAuTg7YGi/QJW/vTc2iERK1anLlBIiQASIABEgAkSACBABIkAEiECVI0AipcoVieAE1ViRsvbHPcjNK8DCmW8i5f5jzFj0DQ5sXy4Buv6nv1BaWoZXBnZT+duM914lkSK4CtIJiAARIAJEgAgQASJABIgAESACpkuARIrplW2NFCm7/j6J0LOXsWH5R9w61E/Sn2HMlP9yQ3v4bcX3O7lll14Z0E3lb++Po4gU07slKEdEgAgQASJABIgAESACRIAIEAH9ESCRoj+WVeVMNU6k/H30PP48eAabVn4MO1vxutds7enuw2fgyM4QODnYcX+bsmA13hjWB317tFf5W7+eHSgiparUZEoHESACRIAIEAEiQASIABEgAkSgChIgkVIFC0VgkmqUSDl6+gJ+2XMcG1d8DHs7sUTht8UhW+Hu6oyZ74lX7Znxn29x+NeV3H7qfqPJZgXWQDqcCBABIkAEiAARIAJEgAgQASJgwgRIpJhe4dYokdL7tdnIyMyCmVl5QXbv1IYTK1k5eVi0bAuirt+Ck4M9PvvobXTv1JrbUd1vJFJM76agHBEBIkAEiAARIAJEgAgQASJABPRFgESKvkhWnfPUKJFiCOwkUgxBlc5JBIgAESACRIAIEAEiQASIABEwDQIkUgxXjnfuPcLnX2/Dk/RMbjXeSeOH4tUhPQ13wRdnJpEiEDGJFIEA6XAiQASIABEgAkSACBABIkAEiIAJEzCkSHlenIqS0iKj03O2rA9zM0ujX1f+gsFzv8aIwd0xrH8g0p8+x6hJi7HnhyXcwjGG3EikCKRLIkUgQDqcCBABIkAEiAARIAJEgAgQASJgwgQMKVLOZqxHTnGa0el1cwuGs2U9hevm5OZj2dpfEHE5FqWlZVgwfTyC+nXBvsNnsXXnIRQUieDu6oSvF0+Fd11PXIyOA1sxNzcvH4AZFs16Ez27tEVefgGWrNmOmNhE2FhbYdGst9CpXQuF642Z/D8smf8emjf14X4bPnER1i2bjQb1axuUCYkUgXhJpAgESIcTASJABIgAESACRIAIEAEiQARMmIAhRUrE0x9RWJpjdHrtnF+Hi2V9heuyYTbWVpaYP30cSktKUSQqhoO9LeKT7qGOlxucHe2xauMfyC8oxKcfTsDrwZ9j+aJg+Db2xvPsXJiZmXEr6TKJ4mBng48nj0ZSSiomzVmJf3Z8JVl5l7/w8bOXsXH7fnw8+Q2cOBsFc/NanHQx9EYiRSBhEikCAdLhRIAIEAEiQASIABEgAkSACBABEyZgSJGSkncRRaW5RqfXwK4jrGs5KFy3c9AUhO5axQkTVVv4pev4de9xfL/sQ8xbugEuTg6Y9s5IuDo7Sg7pOmwaju4MkZxn4uzlmDpxBLp2aClz2uycPHy4eB0ep2eioKAQ65Z9iBbNGhicB4kUgYhJpAgESIcTASJABIgAESACRIAIEAEiQARMmEBNESl5+YXoMWIGoo5tUSjN3QdP43jYZZSVleF5Vi7cXJ2w4auPwI75addh7D0Uht6B7TBnymhuiE+nIZPRyKeO5Dy5eQVcpMnA3h1lzj1h5pcYM6IvN0fKtbjbmPu/9dyqvI0b1DVojSKRIhAviRSBAOlwIkAEiAARIAJEgAgQASJABIiACROoKSKFFSETICd2r+GG5/DbmYgYrNu2D1tXz4ejgx1Oh0dj1/5TnEjht6IiEZZ+swNOjnaYN3UsWETKyd1rYGdrrbJmpGU8w7hpS3F81yrJPt9s+RNuLo54+41BBq1RJFIE4iWRIhAgHU4EiAARIAJEgAgQASJABIgAETBhAjVJpCxctgWuzg6YM2UMSsvKkJWdi7DIGBw9fZETJ4VFIiz4YhM3dwr7d1ziXclQnF/2hOLug8dc5AmbI4XNtcLmSLG0MMfdB09Q18sNlpYWkppSXFKCvq9/hE0r58DftyE3Qe2kOSGY+d5rCOzYyqA1ikSKQLwkUgQCpMOJABEgAkSACBABIkAEiAARIAImTMCQIuVxQRxEZQVGp1fbujksa9kqXJcN21my5mdcionnfvtkxnj0DgzA7M/W4c79R9yyxBNGDcSB0HBOpCxavgWRUTdgbWUFn3qeWLYwmNuHSZGQ9b8jLPIqikQibpjPppVzFSJU2LFrNu1Gbn4BN2xo1NBeeG9skMF5kEgRiJhEikCAdDgRIAJEgAgQASJABIgAESACRMCECRhSpJgwtiqdNRIpAouHRIpAgCZ2uK1lHvJF5eMBTSx7lB0iQASIABEgAkSACBABIkAEdCRAIkVHYNVgdxIpAguJRIpAgCZ2uJ/XDdx6Irskl4llkbJDBIgAESACRIAIEAEiQASIgA4ESKToAKua7EoiRWBBkUgRCNDEDieRYmIFStkhAkSACBABIkAEiAARIAICCZBIEQiwCh5OIkVgoZBIEQjQxA4nkWJiBUrZIQJEgAgQASJABIgAESACAgmQSBEIsAoeTiJFYKGQSBEI0MQOJ5FiYgVK2SECRIAIEAEiQASIABEgAhoIaJonkUSK6VUhEikCy5REikCAJnY4iRQTK1DKDhEgAkSACBABIkAEiAAR0EBA0zsAiRTTq0IkUgSWKYkUgQBN7HBNjaiJZZeyQwSIABEgAkSACBABIkAEajwBTe8AJFJMr4qQSBFYpiRSBAI0scM1NaImll3KDhEgAkSACBABIkAEiAARqPEENL0DkEgxvSpCIkVgmZJIEQjQxA7X1IiaWHYpO0SACBABIkAEiAARIAJEoMYT0PQOQCLF9KoIiRSBZUoiRSBAEztcUyNqYtml7BABIkAEiAARIAJEgAgQgRpPQNM7AIkUw1WR1Efp+CxkK5JTUuHh5oLP50xE6+aNDXfBF2cmkSIQMYkUgQBN7HBNjaiJZZeyowMBb5cU3H/WUIcjaFciQASIABEgAkSACBCB6kBA0zuAQUVKGgBRJVDyAmBRCdeVu+TE2csxamgvDB/YHeGXruPTFT/i0C8rYGNtZdDEkUgRiJdEikCAJna4pkbUxLJL2dGBANUNHWDRrkSACBABIkAEiAARqEYENPXzDCpSfgfwrBJgvQaAyRS5LSc3H8vW/oKIy7EoLS3DgunjEdSvC/YdPoutOw+hoEgEd1cnfL14KrzreuJidBxWfL8TuXn5AMywaNab6NmlLfLyC7BkzXbExCZyUmTRrLfQqV0LmavlFxRh8Ph5OLP3W8nfZyz6FqOG9cLL3dobFAqJFIF4SaQIBGhih2tqRE0su2qz426fhoxcz2qVZVvLPOSL7AySZqobBsFKJyUCRIAIEAEiQASIQKUT0NTPM6hI2QcgrxIQ9AdQW/G6n3+9DdZWlpg/fRxKS0pRJCqGg70t4pPuoY6XG5wd7bFq4x/ILyjEpx9OwOvBn2P5omD4NvbG8+xcmJmZwcnBjpMoDnY2+HjyaCSlpGLSnJX4Z8dXsLO1kVz0eVYuRgUvxvFdqyR/W7b2V3jX9cDbbwwyKBQSKQLxkkjRDqAhX1C1S4Fx9tLUiBonFVXjKsPa/omDV1+v1MToWh667q9L5gx5bl3SQfsSASJQ9QkENjmDiOTeVT+hlEIiUEMI0PDcGlLQArKpqZ9nUJESC4AFcxh7awlAyffHzkFTELprFSdMVG1sCM6ve4/j+2UfYt7SDXBxcsC0d0bC1dlRckjXYdNwdGeI5DxsCM/UiSPQtQO7cPk24t3/YM7k0ejVNQBXbyRh5qdrMWn8UEx4faBBiZBIEYiXRIp2AP3cU3Arw/Tnh9DUiGpHq/rvxaJRhgf8iW3hUys1M8OaXcTBxE5ap8GQ5WfIc2udQRU7sg4i22gOF6Ek6XgioB8C8wYsRUjoZ/o5GZ2FCBABwQSq8jNccOboBHohoKmO1BSRkpdfiB4jZiDq2BYFrrsPnsbxsMsoKysDiyRxc3XChq8+Ajvmp12HsfdQGHoHtsOcKaO5IT6dhkxGI586kvPk5hVww3sG9u4oc+6kOw+wfN1veJL+DB1a+yIrJw+DX+6ssJ9eClrqJCRSBBIlkaIdQBIp2nEylb3Yw2REwJ5KfxEY1vgGDt6WtdbqGGt6CAopH0OeW0i62LEsbWy79UR7VkKvSccbnkB1HF5neCrV4wpVSaRU5barepSm6aeyqkcd66MtpPvA9Oux0Bz6et5CQpqfytPUFJHCADABcmL3Gm54Dr+diYjBum37sHX1fDg62OF0eDR27T/FiRR+KyoSYek3O+DkaId5U8eCRaSc3L0GdrbWWhdPSUkpXpm4ENvXLoKHm7PWx1VkRxIpFaEmdQyJFO0AkkjRjpOp7GUIkeLt9BD3s+rqhCio6VUcSmqr9TGG7CgZ8txaZ1DFjiRShBKsmscbq87p4yWlahKsvFRVKZFSQyJKK6+09Xflyhp+Yqy2pqKk9JE+fZyjoumvrsfVlL4/Xz7NPG4jMV31krs1SaQsXLYFrs4OmDNlDErLypCVnYuwyBgcPX2REyeFRSIs+GITN3cK+3dc4l20aNaAQ/nLnlDcffCYizxhc6SwuVbYHCmWFua4++AJ6nq5wdJS+VJBBYVFWL3pD+78/5v7rsFvHRIpAhGTSNEOIN+Ysg43+5+hvnxXVieCp2CMB60xrqFdqareyxAipV/TSJxI6qpT0vr7R+L4Te2PMSRb/tyVXUeVAWT3J8xzBd2XVf2LpE4Vx0R2NmR9lkZU0zrLxqgeJFKMQdl0rjGs+RmM6LwBIUcXC2rHK0rEWG1NZaavquexomwMeZy+nw1Vsf8kza9SRcptAEWGLE0V524EQEmwCBu2s2TNz7gUE88d+MmM8egdGIDZn63DnfuPuEiRCaMG4kBoOCdSFi3fgsioG7C2soJPPU8sWxjM7cNW7QlZ/zvCIq+iSCTihvlsWjlXIULlpz+O4Jc/jwFmZgjq2wUz33tNpWzRJyUSKQJp1jSRUtEvj3xjyh5EfnVuGGwS0sp+0Bnj+pXZwdb2ZdkgIqVVOE7EdtPpju2n4zGGLD/+3Ia8hk5wpHbWh0jx84xH96bnsS3yvYomg47TMwFj1TV9d5b1jKFanq4y23l5YFS+Vb8KBfmfxKsdN5NIeTFUVf5jnT7aQn2co+rXJP2mUN9tR78Wh3Eiboh+E6nHs/l63EZCZUWk6DEfdCrtCZBI0Z6V0j1rmkip6IOERIrAiiZ1eGV2sLUt/6oiUkZ1CkNhpq3WE85qmz++OGwt8pFfbKtV4Zq8SHFPwQj/Mwg597ZWPGgnMQFt5WRFeOlanytyDXaMqs5yVVi5q6J5quzjKrOdJ5GiuvS9nR/g/vP6lV09ZK7PPnC93fFvtGxwnEQKAGXtjj7aQn2co0pVHCMkRt8ipao/U3zdbyMho5KG9hihPOkSigRIpAisFbxIcbdLR0aeh8CzVf7hmpZc9PVIQEK6r84JJZGiMzKVB1RmB1vbjkRVESnje8Sib5EFJl1orlUBaJs//mS6dBJqhEhpeBchUT21Ym2MnfQ5lFDXuqFN/phE8XFK02lFsxFtzuPva921OT0CfC4i5p72q1ZpdVIlO6m6DyqzrapoXqrKcVWJnZ9rKm5l1qsqaBQkAspqISPP3Sjp06XN1zVB7nYZFcoHa5tmdI6EresxILslgv9arOulBe9viPaxookikVJRcvo/Tt/3S3UQKU8LHJCR66kUpkHnSNF/8dEZtSBAIkULSOp24UWKpnFxAi9jlMNZA+Vf+6balVY02VZVCSWRor8ilO9gG/KLtnyqpTtLrNOXJ7JFvkhxAXkSKYrlXdVFyrygBbj1qFWFV1pi9/gIz1oIifPRX2UXeCbGnG18mHdFhyaycxjiRYFLX4m9TiJl/OAD+O3IK1qRMVan09RFirE4ShdqVRIpzVwf4UGOk9K2XjrNmj7EaFVpddypIveQjpeQ2V3fL4bSJ6/ouauESPGMx6007T5YCOGvzbE1XaQY4lmlDXdl+1S0Tqu6ntC2eEzH7dh1yXBRs+wdycw8X+U8RSRSKlqTqu5xJFIElo2+RIqQDr7ALEgOZw3UiIA/1YaGqhIp7GWebcpeqtnffd3vICGjEfcyUtXnSBEiJozxAJPvYKu6piHSIn1ONv9IyuO6Smcoryoi5Z2+MeiRY2OwiBRdxCKJFH21VNqfR16kCLknhByrUjBXQKSMGboXu/55TSsIQjudWl3kxdCejAI7ha9whpYBxnpuGotjZYkUTRybuj1ErVq5SEhvprJKsHO8121jhUWstnVNfj8SKWLJW+kRKVVoZSdjipTKaBs03Stzem7GT5dfqxJR8lVNpMzrtRkhYR9oQljh30mkVBhdtT2QRIrAohMiUvjOC2uIbz1qWSkzrUtnX4hIkX9hkcfKR+xUB5Ei5IVJyLHaVkX5lxNfz3gkKPkSxNcrFmKoKsxQ5Queiq9LuoiUYf5nsPrMVG2zpXE/XSeOZbO7v9M5FY2euRlMpHRtGIXIlA4a08520EWkCJF5WiVGbifW2akJESlC7k8hx6q8zzwSUFZmoXZMtfyxVVWkKFv1ydAixRBloqyshrU8hIM3gipya1X4GEOzk3/2H7z6usq0NnVPhZlZodplPbWJaK0wDDUHmrJI0XaFEsbgvZePwN3qQuUN7amhImXLhLEI3vG7Iap2hc85r8U9/J1WqlOkY4UvpuHAKidSWtwzaNTsm62icTHNiiJSDFWhquB5SaQILBRepOjyZZp/qeIjM6qCSGEhucPb7YGH/ZMKRaRoLVLck+FXP8qoq/bIf23T1PnW9Lu6KiPkWG2rokJEiooODC/G/o55XWfeqh5+uoiUof7hWHNmkrbZ0rifriKFcbIoG4SmWc4GEylB/idw6GY/jWmXFinazDrPR3BpdWI97MSLlPRcLyzcu7ZCZ6zsoT3KvqpX+YgU9xSUoVQrkcLPn6BvkaKr3FYm+bhVn8yKcEtu/ixDy4CAunG4n+WusyjWtYIPa3wDB2+31PUwrfdX9sJsaHYyIqX5GRyM760yvY097sEcxUYRKarkgfyXf34/UxYp2vYn2H4Tel9GHZt/UJrrh8l7l2hd93TZUV16jP3MUpduY0akVFWRci7vKSLuBuhSvAbZt6aJlPe6huFcsgeJFIPUpqp5UhIpAstFlUhhD3kftzuISJbtnPBjiKU7r8OaXcStTHfcymgiMDUVP5x/6WZnCDm6WGUjoEoYaRIp/JJgrFH1q39R5xd7bXOm7EEv35Br6py8220DtoWXR1Lo0qHV5iVZ27yo2q+qiJQPXt6Nk9c6qhzaYwyRom5yvln91sPerKNOIkXXuY4qIlLUhQLzdVNXMSu0TvEiRdP9r1YiVvIcKao6z+4OaZJ2WNO9b2xJyuqbWRm0Eil83dQkUj4I/BebI7pwWdEm7FxXkeLnkaAgTDiRwuaiyWgog1CXtrMidXhY8zOAdZrBnid8mvQhUtSxUFYvP+z+J745rzpKpCK8VB2jKX/dfaPwONPVKCJF1T0qHxUkHeGn6zxDQtjp+mKoadiUdFqYGIx52ELypwDPVMSkaZ7kl7F4s9d11LPdC1FBE0zbvUxIFlUeqy4yS9dnp0ES+OKkSp8FeoiYUVY3K0ukqKtXLCLlZmG2QeWvtuWn6/2i6bzaPNPUnYOxETKPWzOPZCSmq35XI5GiqQRN73cSKQLLVJVIUdU55RsB9oVnfu8NsLBLBlJHY92NljIPUIHJ0vlwg4uUF0uCGVqkKFulQleRIt/h1eVlQGgjr03BmYpI0XViQmURKeoe0kz0uJs3rHIiRd1kZ1VBpFQkgonVW00RKUIkBn9fMEHNtvvPZF/YVUkD+XZYiOjUR/rl728mmKGFSHG3zoWr4xPuRVaTSHm392lsO9PHcCJFyQuJMpHCympcp+0GnTPDVEUKi/p5v/NJrDs/TOkjwdfzFhLS/LR5XEj28VMzGagmkTLQLwLJT+sYRaT0a/IvTiSLRaD0xspaOmpGF5Giz6GSur4Y6tJuyOcxqOlVHEpqq7Gc2TXG9kyAT0kMCkrdMXP/dI3HyO/AXsz9at+Q+fjH/sY2fmiwfPqkz1GlRIqSCDJ9RMxUJZGirg3QRaTwz8iIpN5cOeu7D8vul/aNz2ic4JXVtbwie40TWgtNn1CRwt7dbqfLTqgv3b683zUMN56UKXxE5+8VmmxW56apyh9AIkVgEelLpPyd4oODieqXqRTyEqApm1VFpAhtJOWjSfgXPOkvpZo6NlVepPRZi5DTs8o7yEpebNjLersGl7ihWhV5MdZmaI+miBQ2+d2Co2NVPhh1LWtdRcqk3ofgaemBpg+6Y2VGjEyUlaqvObp2BlVFpCiTRHy90+bLtDEiUmwtCpBfbMPVI+mIlIrUF3UihWet6b7T1Ebx11A1FEZVRIr05Na61jnpNOkj/Qoixf0296eEjMZqs89edOOybauESBnsGwWLYhuZr53KRArjNSJgj4xI8XZ6iPtZdVXmVf7FTVOdMFWRwnj2aXsBm0+9Ud7OS61AFdTyBA7dUD2kUFn7oU4AaBIpg5pGIOm5cUQKi9BV1hdSKVI844FSG7XzQejz3tVWpPAvV7pcWz6PQ5pGobVzrsYl5dk1Xu3+DL5xvfHUPQXzz2mOYpG/t5Tdr+xv8wYtkUQpV2+RcltjO6upvalKIkVdX0UXkSI/N6KQZ6QyftwHlg6ahTq7bnzqS0hIL38WsnvI3fa5zDNDaPoMIVKk68Wkl87ikeixyihJEima7rLq9zuJFIFlJkykbH0ohP0AACAASURBVISFXRIXkfJ3cguNYXjKGhD2wnbvaSOlX2h1yZqhRQo/KaemiBShk/ope0lVFZGiKiKiyouUDmdlOlbKOnYsD351Yrkq8NeVt/DPdeVfNlXVEX2JlHUR/VR2cPn67O1yD/efaV4yV1eRwr7M17G0UypSVD2M9SVS+PNLv6BIREq/lQg5MV8penURKfWdU/Hgue4dZG3KWFqk7A/7AgdSVK/Ooe58ypY/5lno8kKh7hq6iJQA7yj4uNzDwesjuFMK6YSpSj/70p+R616hFRLYC6+2IiU+25brZGqKSJky4Bg2hg7UOr+6Du2ZFXgYyY8aVkikaOrEsrSwjV+uWtMzjL3Yjei8gdtN3ZBUpR18rxtaX+dd3wTczC9G5H1/TUlS+bs6gSr/LNJGpJSV2OBwfHel11MmeKuNSFExH41KkaJiWJk0GH20Pfz5tBUp0hEz0suvM1moqn7LCy0mUl5rdAfBJ9Sv0lVdRAova3ZefFtwn1Xdjcg4Rmc6yvQr9PFxQlnZV9bQnqogUrS5r3QRKdnZjXHm9kuSomVD3QY628sMxRHyDGcn1vQM0tTAK4tIkeYQ3O4cOrdZh1uPWimNxiSRoomwsN9T7j/G9EXfYPQrffD2G4MkJ7sWdxufrvgBaRnP0KJpA6z4dDI83V2EXezF0SRSBGLUl0i59aATzmXnIeJBc5UpUtaAsL/pY8UfwSLFIwEoM1c5zwvfseNESu1YlSsgqPvioU1RKeusBjaIkZl0S1NkgKmIFF+3RygudcaeG8NwIrabNvgk+6gKg5V+YGgTkaKNSJHvnEgvpS098aC2IoUfUmBm+xLM85RHpBhapPBfjKU7xr4eCUhI98W8HtsRcu5tpeWhTqS0rXcDT/Ps9dYBleYuI1JOrMOBVA+N9WWMfzh23SyvV6qG9mgrUpp6JiEprana67JrlKEECUrmk1JWpqwc7CxK8OdV7cWCqgTIdxrdbZ8hI98FrM26ld6oQiskSIsU+eEH7N92lvnIyHMHq0fxWbbcF1VNImXau3uxfpv4xUubTif/1fnvK+MkwkldIVSmSJGfiNRYIoV1vvPtM7HusuZhFozdK23P4sDVnjIYpZ8r8mUtX06aRAqLCgoMSMTnf46uNiKFRSNl5DtrDN1neTuSoLgS2jC/cBy8Vd7e8O2psmgoeSjavPBpbPBe7CBEpLD5hfzcUxUm9pWs4CgnkQb6/Ys3fB4YRaT4uidjZKvjMkvD6jsiRf58tuYi5JdYaote6/1Ye3kry16mTVYmUtTNsabsYiRSZKmouq+kn126iBRRbn0cTQqUXCSo+Vk0dLDGhsudJX/T5pmmrqJIzyGmdYWS2rFKi5S8RKCkoCLZEnaMfTOglji6uTK3f6/cxJff7ECzxt5o16qpRKSUlJQi6K0F+PTDt9GzSxv8sicUEZdj8f2yD/WSXBIpAjHqKlL4zlRT1/uY25fNkSKOSDFLHYNou8tqO2rK5lYwpEhRNq5Y/mEkeUlyT4G7/TOVs4TLiBSPOypXCBAiUpSFprLiHeN3DVeemXNfgVhH3M4ql/tvVS+0VVmksPS/3vEsvjn+lqTmsgdV9+aHFCbIdXezx8WmBXj2dx+dRYqqrx1aixT3FEzyt8QPN0UynRnpOS74usNPRMwyxM7v45aCUQ0zUWKdCSv765i8U/zFWVuRwnfWEnNmoVa2hcaIFOl6rq+IFD6t0mPc+Xvno94/qFzNSJ1IYVKgVf1wvc05oUqk3LoYIvMFSFVnU/7LjkaRwmRrLRE3DlvZctxNPZKQlK5ZpJSy1UMyFPdTJVKaORdhbcQQrg4J6YTJdxr9XB7j1rPaSkWKti9u0iJFXiSxc3T3yMf5dFvu/889dtNKpIydvxq/r/yYy6+mISD8PcfC9/++MFXtyi18gzOj00XcSbfXGJHCWPvXvilTXzV9DdQUkSLPVVqk3M1shG3npmotGrUtI5ZvbUUKk/ZMsL1Uko7/JY6S6V1IP1cU8tH2T5lQcHYvDWx6CesulJ9Dmo0mkfJxrx+wOkx2xTRjR6SMCTiIXTHlkZDSS7K62mYhM99Jhg//Meda4kTJ/Sq9g3y0Ru9G8Thzpzk3LLHMrFRmSIB8t05VWVekPZDmqG55YklEimc82tdL4FhwH5KcchWij/l95fM4oHkERns/FCxStJnwlqXt3RZx+Dq6g6R9NrRI8XNJw61nngJ74YqHaytS5Cf31ZQQY4gUZcMfWT3LF9nJPDc1RaRcL87A4cR2mrLEPRNHBPwpiehj7xnnE3tr1Y6quq9Y2hp7PEJoXKB47jQth/bIi5RBvpfR0DUHmy+UL9qhauifxoy+2GHm25tg8/AJ5KOitJ2zT16ksOPcrYtw8OYA7goTXzqKHi23VUpEStn12UDBfW1R6G8//5Uws1fsk+Xk5mPZ2l84aVFaWoYF08cjqF8X7Dt8Flt3HkJBkQjurk74evFUeNf1xMXoOKz4fidy8/IBmGHRrDfRs0tb5OUXYMma7YiJTYSNtRUWzXoLndqVT8rNZyTx9gM4ONhi94HTcHa0l4iUazeTsfy7X/Hb+s+4XVlaer82C4d+WQFHBzvBHEikCEQoL1Kkwzmlx+bzl1EnUiJcjuPHCNVLELJjbz72l0SgyD/khGRFEpGS3RIh58ZxqzIoayTViRQ/NYKkMkUKM9DOmfW4l0Ppzug8uSEy8mWk7N+avmBUpGOmS7mxOuBdyxGzj5abVD6aIHjH75JTsf08XOxxwbdyRAqLaBna9woOnewgI1LYZMD5hfacyOJZSXcItoxaANilIKOoMyeBGuWkY9Xa1Vy+9CpSpCYulK7n6jonysSishB6Ju7SLbM5eSX9dVWoSBnS4jT8aydj9Zn3dKkyKvfVVqSoegGb2Pc4fj7ZX3J+VSKFzVuUluMJt1Jv9Gz/jco5e9SJFHe7dG7ojDgiRYSEjGaQLg9+KJv0PcASNtjvAnxdRPjugngIhJD7U1GkiF8ClEWksHp+/2kjjcvyahIp8+vVBayeAEVeWHHvmUaRMq9VApJH7MaeZYtk7hl1L1KSiBQtRcqEAYeRdqe2TNSAsqgAViZsCwkVd17Ypm+RMrTFCYzstAUo9ORW79FleI8hRArLX3OzJsjO+RMf3RMPJ5Pkvddmydd+Vc9Rfl/Wfg5uchnfXayYSPliyNfYfjlIZgiJsvuYv4c0zZEys9MeHL7dQafJZuXLWlqk9GsegRPx5V+euXuTDdPyzsDV7NqS+1Wan3wa+/newokEP65NKDUrlaSNvQg2cE2RqXeGEilbRi5B8F+Llbaxkr6g1GpmhhApbGgJ29iHA36OlBVXLGXaHmX5l3+esbTN92qGlY9ScCtTPITUzz0Z8/psQsjZiVxdmt46Gt9fV/5yrs1HCPk+azPXx0jMrK2X55l8XVEWkXL/eV3JvGB8nVO37Ld8f88YIkXZNeb2+BlxaY1kRLcy3rzYY/eapWs+RJm22JlqoXZeKnmRMq/zAcA5Wub+4aMv5QtKnUhp4vYIx24JEyn9/SLRxKVQVqQIXIp+7qS1aF4YrvCs0LZvIC9S2HOuuKiu5ONYcNtD6BywvVJESunNhTATZer9ftJ0QrOmcwB7X4XdPv96G6ytLDF/+jiUlpSiSFQMB3tbxCfdQx0vN052rNr4B/ILCvHphxPwevDnWL4oGL6NvfE8OxdmZmZwcrDjJIqDnQ0+njwaSSmpmDRnJf7Z8RXsbJVHwXz7wx64OjtIRMrB0AhO5nz5SfnHhbFTl+A/syegTQv189Npyjv7nUSKNpTU7CMvUqTD2DWLlPWSVXtYREqE9Wn8GK18zDPXCX0x7wU/GWRFRYqySAyJSEkdjZDol7iXX2Wz/OtDpLSvF49d18Sh9vzGLPy4esUal2xjD3a2KVsqmk3G28HnksIXexYKz7Zd/7wmWKRoGmerbWMsnXfph5G6VUn4OmDt4IUv9k2WnIITKT1/lunQsbpSx84B4a3yKxSR0qdJDE4nByjUfFURKfIvaoxTn4G7UXy1B84/9pQslyodQaVUpIxcAjjekIgU98IcbF4lXspRlUjJKJD9UsNClBc0FSGhfobKiJRBvpfQttFhGTHJrqGufJV1cAY3icORZFkzvi5oO/alNONESn//SBy/2ZVLv1CRwiZ89M0qxbo01W2ENs0Z60D7OKXBxz4PJ+6K53xgeWMRRG4ZDRFfliwTkaJKpMgPMVElUvh2KzX/NW55zvCk3gi9EaTwxUtepMgOi7rNfXFmDLt6RiOzzI0bVhNxV1xHVYoU3yjUrZeldhUbZS/8yjj28z2N+LTGknQH1k1BxMOGSkUKq9ueDmncl717mY1UDmeQFimDWx3FkdjyMb3sXpvvHsBNHsm2zTcLkahhaM/sgJu4P3SfgkhRJw10Fikv/4XUJ14yUW5KRUqP7YCt7AutMpHC/vbrfRek5jjKtM/KykA+HxKRkt2SazcqKlLYCxPb2DAqZdv73U7guUcG/tyvfCgNfwzLS10Hczid249JNlNkTjW77U18e1V8v2kSKewlaUjjKJUihQ2vcq+frXJoz4ZRi/BPQgcuyoV/tt+6HaQwpJDnqWl1mG8HfYPvLo+QyAq+zkiLS/kIJPmy/qrdbcTXuoa04iLYWTjhjyjZPgC730faBKiMzJUXKT3aRuHc1Q5g0qnMrEySNq4tcMpB8J4V5c9IuflwWBvo7fwI3Zudxk+Ruolp6fZwdd+L+Pik8kUCpEUKExRsu+10AanZpQhN9ZBp/yTl0OQqDiWLh48xno2tzdDWyUxtRAovUo74tIXbbQvu2OSo9riXWR9jOjOpdAfhl+dh243yuSe4Nl+OiUSkPEyVRInwfYuQ8NfFUbxqlo7V1Dfiryk9eW2b2im49lhxBTZtnmOB9eNVDoWXjkjh+ybK5qPSFAEt/+wTIlK0neNM2TWUDadUJlL4MmXl5Olhzj3PVz5JVDvsVEGkdDgLuJ+WFZEqIockbYvcfCAsbU2dH3HDdIREpAxoFonGbpUrUuSfDZpEyoKWR9DspZ8qRaSUPTkCFD/X5vbR6z5mnoMAS8X5RjoHTUHorlWcMFG1hV+6jl/3HueG2cxbugEuTg6Y9s5IuDo7Sg7pOmwaju4MkZxn4uzlmDpxBLp2aKn0tPIiZffB07iZcBeLPyofUv/Oh19x5+jSvuLznvEXJ5EisDoZQqRIR01IJ08iUqLexsHYIO5BOK/PBoScnCV5UdUmOx91OoE1F8Uz/ktCSl+E92Xl9MLGs0O4lxaFh4hnPGwsS3A1tbzy8p0bFiI5tk0oFh6bKUmCdNjr661O4c/Yl8WNqv8ZhQ4dG96xwNMPfxXEqJ10V77DLt0ZYB0KfoIn6fBIaZHCGni2sWVEZ3T9E+2ej8OkmyIZbOqG9mjqLAS1OIpDceUvQ9qUh3SoIpNXbLuV1hzKviKztCkTKfPbxGHS6fLrsv3czFvgUoeEComU/i3+xfE4xSUoVYkU+UmCeZHSJfo/kjLlHrqetSSiTh8ihdUbs7IyGbHGdwgTWpxBTvZTtH/wqsKqPUxKvNI8CtbuZ2VevqTLV5uvUa80j8OBeFmR8t93F+PshcHci6a0/OHPLR12r/BV8EXnVr6esXrbyes2mj0rxdLU8igQbeqX/D48n32FV/BPcmtxOyAtUkoeIuRW+Rwp+hYpXP1WMhGbOpEyyC8CQzzTkAlXuNx9CkeH12Xainl91sLPJxwKESkVECmqojfY1+dbuWaSDibf9imLSJGIaQ2ToLKIpoQnTbhIE2mRwsKF+7c8jIZJq3D41f/BosAMl7ePlazac/xUb6Uv/cO7HYdlnwsGFSkTe/yF+5kVFyk7H5XKvET+4G+J5Q/TkPTMpdJEijIRJH3fsDw/rZeOA3/IDpeRv7fYs8bJKRFdtjkpiJRxfQ5g5+lXuEP6NLmI08mduDae/a99g0syy4NqI1K8PLPxqZTYkW5LlImUG3f7KwwpXND1Iu6430NJvg3+PBmksjnRh0j5oXM8yurt4oTXpdtvYNO58mgb1leY3ioOnk+HaS1S+jW8iBMpnSD9TGcZ4PpJ9mUyHxbkpQF7bkxtZA2n3IYKz39pCHwknPTfpNvDLwMjsSqmOZ7muSqw46/Jhnu9b9+R+52JlEYOt3GrVqzSiBn2XOLniGD9mfyHfWBb5qWTSCkyr4WAZ41gKyqChXMEF6l180YwVl+WXeVJgYn7Hcxs6IR1ySUyImV+I3PcLSxGfrE5fGrVwawbyuc00dQ34vub0iJlcLMoHElUnA9H03ONi85OHKWyrygtUiRDiJVM7K1JIOpTpGgTscPyrWz574qIFOtmaWiU1EWpSJEue0OLFPZ89G8QpnFIMkuH/NAeJlK6+5TB+1Gv8n6kkSNS5NsXTSJlvv8x+HbcWuNFSl5+IXqMmIGoY1sUbmcmNo6HXUZZWRmeZ+XCzdUJG776COyYn3Ydxt5DYegd2A5zprAPF2boNGQyGvnUkZwnN6+AG94zsLe4XZXfFCJSjkfgbORVboJZfhs1aTH+O+cdtPFvoqm50fg7iRSNiNTvoE6kvNtjI/ZHj5KsJ846TO9128g1KA3dH+CTPt8rjUiRfpnmr85/AWL/3nc5mFv6kPtbmziEXO6p0zhTNkkov6wi/wLMN6ZsSMUPJ17lOuzyDf/aRuE4ZG6OI0nlL9j80AXua1LdAkwKL38oSkdnzO58BN9eGMx9iXul1SmsDpP9CsSu9YkWIoV9fTKDmcSwS19DWqRIPwDH9/0LsBDh4uWOqOP2FA8z3bj8sXDlgJyxiiJFKgSb75jx4emaOgvSHSFtq9bQJtclL7TSjbay6JZ57S7Cpt4dLD0ktSwmC8ltWoBJF8onKmbDluydLXAt8JTOIoWFRtuYu+HnfxVX+pF+AH81ZrWkrgxpGo3DSeKQX7aPt2Mm2jeIRP3scTj+NJ37ysbma+jZ4Cm2XuyEhIxGkAz5sDbD9hch7OxlVToipVaiA3b/IV7qWVlECisPM9SS+eIiI1KeZqL9k5FKRcog14Zw9P9YRqQMa34CB+PFHU75+q9MKAwc/iuO7X9TpqjnT5+Ny6fHaCVSFK7xQqTI/z14/Neof8USzjmNFIYMaFvPJG3JixDuP4v/lQzPkBEpuWUIuVssOa2q8OvgsT/j4Q17ydwO7N4M8L2LPyN7ySRJPiKF/Xjr2hyERMt+yW3qkYyk9PKH2tJe+7HpagD30s3uqzdiY7CqczvMvnED+XXdcdSqHo4kic/BD6mQl6KsfXKvUwu/nhXXTaX3lNwQFFXRGzqLlCY3gOzW+DvVUTJ+Wr6spEXKuI77cfl2AFeXh7X6ByOaxMEs8RNOpFg/sMaFf16TiJT0O3WUznukT5GiisOcoT8h+o5fhSNS4POTTKeaEympaUh6rrtICWpxAq+yoT1aRKTIRzRI509epMivhjeh1194VkdRpLDJQ9kwWH6b8PJfcDa/jXYHbRVEysThv+Pn/eJhGItfXYd4F1s0udIPTQt9Ee/+o8zHBWmRwkUFBC3gjuMjbtiLVV3nHCw8Irs8MosaYP2MLwavwbOyHDzN9oSbYxo87J8g9XE//Hp5oLh+vfhwknl7Nf7t9RMsYlpwEZvSm/Qk7QoixT0Fo9o/xvLjUpNA+oeiXu08bD4tHtIkH73wQ7tMlDX6TqlIYRPHfuSfDav0LohwP40fzylG3SkM7REiUtxvY3p9MziIfNWKFGVRDzIi5aVQbEtpJjPkSRLZ8SISYFiTGIy0Fnf47zpGwscxRTuRMnIJsh63h5OdSKlI4SdVb/5cHCV1uP8eLiIlo8gJFmyOMZsy9LnuDJtaGXic3x517r4mE20of3+zOvfygN24FTkUZ263Ej/LXzwr2H8/8InBg0bR2Lx5vNJHjqa+kfh8yZjfVISVSZbcxw+2KtHhJN1FCuvrsSgbNn8U9zx5IvtlWkakvFhOWzoihZ8rr7VnDvbGltdh+YzJP/PZ6l3nMyFzz6tbtUd60lVtRYqy4WKzup5C8uPaEnHE0m9jUT6cTfJsf9F/YPdeLf97yPS8g1N7AxXmD9KrSPG9iFtJr8s8z6UjUlj992+6X6NImR5wBok5VjKTzfbz/Rc9vUtlRIp0f1lZReTvi3NJvSTvXvx+rN1r0TlVp6E96kQKi+73a3wI0pJ6aruT6NBmc40XKYw5EyAndq/hhufw25mIGKzbtg9bV8/n5ic5HR6NXftPcSKF34qKRFj6zQ44Odph3tSxYBEpJ3evgZ2ttdK2R/6P8iLlxq07+Pzrn7B783+5XYtLStBjxEwc/S0Ezk6qo2W0uhgN7dEWk+r91IkUbgK/y29LVqhhjRcLtdx14W24OYgwsf0upSJFWQgikyvzBn/OJUQiUjzjMblzFNZH9ELS0/paZYZ1EIM8b+Ozf9/h9ufneFAmUuQnP/zG4g8cbugj29C1Cuc61OzBNci1EWZGld8wqkTKcP8TWHVO9ssea6xG9XyImGs2ar9QyL84ayNSBgSG4aPWXZD63TY8bVyMLaKh3IPlg65/ofPzNzAz8blM6L380CfpCBVNnQVtRIr8pFaDfC/iaIL4hVCTSGHzUjS0S0LUXXdk5HhyDwqusyMvUlolwN4rXWeRwl5qLvT8GTnx9vjtjOwYf64jJBUOvGrEGmw8P5JjGdzuPLa8GJbGOhalOU1gvrMBl6fdrQK4OsNESJO253Aq9A2u48m/YIsKmmDabvHwHX2KlKiuu5D2yAWD7gxCWZspMnMosHJSJlLmdv8RX59/X1IWLJ2STop7ikKI7PhXNuJiRD+Y1RJJOnMfzFmEpCPilZI0RaSoEiny9eyHgo244eEGH1drg4mUD3wt4fK8IeIVRMpDJGbWVWhfPvjgN3Q+O1HyIsK+8tZr/ghnzsvOfSAjUorjuPPcintXZvgQ+5u8SFkzdA02XBzEce3r9y/m9hbLEHYfS9crFjk0r5ElrJyK8XGkm0w6mUjxbFKCHUfF95exRMor9dIxwlnMLMXpKHbdrqN0ydO3O+7BvWd18CDLFUNaXUHSnfZcZ5nVm3Gl4vmydBUp59uKkLFRPLkuX/8qMrRH8Yv1bZSZgXvZSr7aQyJSuKEFbG4tNo9CRnmYPmtHlQ3tMYRIKc5vBgvbRLVDe+S/PqsTKUNbnELC09qSMmPRJDlejxUiUqQnyma8Zzc+CNtnT9DsYZGCSJk5bgu+2xnMlcsnr29Agl8mvO+2g1dqC3g6b8c9UQE3/9muS29zHxxmdPwbdl6REknE2snVp4K5tpOJFLvaInz113BJfedXWmP5+qjnL+K+hdSWnzkQx2K7cvWLm4+kwV1k5vfjREq9++74bnv51zpumI5FbW6FPXicRt6TrrJDe9hkuK1ysC5M/MLN3VvNz8DJ0Rq/XRIPZVQQKf7lkQzhziewVUq4snZw6OCbsMl1waP0bPx8VjGqU3rSeK5uS4mULnWf4UhSAy5KS1lEChv2eyJOfE+wjfGd1OAJ3At6yIiUMc3iIbLKw94b7ZXmQXzsHe5DANu+s1mPbx2GqBUpA30jMNpCLJeZSGlgl454ywuSF0t2//DDtaX7D+xZnGFzDk6eSZh6rFxe8DKixDkGJbUKYHVX/Lxi7QQTKSswBFOtT6C4Xh66hL3DDe+43HIXnjSPkxFmqkRKSlRfHIsXix9pkXK70Rncc4/A9l/myNQraaYssk7dxtgt8PKVREkIESlskQbU+0PpCyu71xOeOXHlxAs46X41/0y6cnsc1p+T7ecwLvyE6PIiZWObUhwUheFgXB9JNtkHpU92iSf3lt/Y8fzkwvwznYlOtimbcJ39XZlImfHSVdx5aiERKSyNpaW2knrHR7ax4/khWEykJPqfRszmcQpzG+kqUpStVMOuNb3PKrRzyUXMvZEyC2XIiJTGN+DfbI9GkcL6tg9THHAsSdx+sK2fbyTatUiBhYUPYqNduPyrWtWLP4b/6MzfU9JlsmXIRsTXL9KbSJnTcxtaNDoqI1ImdTyFLv6bSKQAWLhsCzdXyZwpY1BaVoas7FyERcbg6OmLnDgpLBJhwRebuLlT2L/jEu+iRTPxewNbWefug8dc5AmbI4XNtcLmSLG0MMfdB09Q18sNlpbioYzym7xIYZPLvjJxIRbOfBM9OotX7Tl5Lgpb14g/UAjdKCJFIEGVIuWFef8rrUSm8WNyhW2pWb3gZXFfa5HCHkDzgz7hjt13KRiHbvYD68SNaXoSO28NQlKmt1Y5YQ8QW8u6WHJILDLYMINbz1y41RX86sQiK6uL5OW4Y6NoXLpTPrHY+25/wbZZPtZdGFfe0EmJlF71XTD/nHiSMrapjEhpchWrL774ajVgKdfAsodMsNU/CLXviNDE8oZUPlPN3G+jllQEgjYiZXzHg7BxuIZuR8ThtyvqD+JC6V8NPIWhzwZKHur8JHW17YG5f0lNkPgijexYzSIlEkelHgTKCkX+ZY7NzB/6YuI9TSKFffH0sXuMxpaPcetpHW7yQqUipcU92Ne9r7NIYWUcmPoIZ3p7Y4dURIqtRT7yi21lRMryoeuwNXIox3JGu+sIaPOFOLupoyHK84TVqVjun9Iipc5Lkfj3kDjiaU7Xv9DC93fIiJQhGwHrJ3hiWR9Rvo9RctULfx0U11VdI1KYEMq8V0csUry3Ava3EXJ+DDdsSp1I2RY9nOvkaBORMmzYTxhUWgob92OSYSWjFi2TRAGxNHco8eHS/1daMcdKemiP/IsY38GRr2dn381Em0dZ2HY9WiJS1I0RV9cY8J1j+YiUmXWtYFvSQKNI4b/ed3h/D5ye1ZF8oWRS9qmbEyLPy0aaSETK89dRP+FF22F3G2U+W2XC7+VFCvsK/v2VgWKR4vsv5vYRt0XfhIZhdFwS/mnXEvvienEvNsH+VshyeYQvDpZ/3WRfpnp6P0BukyLs3y/u+AoRKUwcPX9g0iNu+gAAIABJREFUI/lyLxnao2SpTTYRZl8fC9R+2JwbzvB3WqnMqix8+bC64OuZzD0HHmcOR2RsO+55MbBZJPrXEXco2IuuqogUFuX16ktbJAKBRaTk1L+Hk7vflbln5JeAZz/yQy/5jueeK+/iyHXZOVoYeyZ+ezQNQ46DDZ74i7iXtdLU9vjxjHiVAl1FSnrtJMmcNez4lT1SsemaXYUiUvg5UlgbYmmTrFakyHfApV8m2H1Y9mLIJ0tTUMNIJOY7yYiUom7X0OxmH25CT37eAfk2gomUbDxFN7eTmHT5J5nb8L3++7D1+Kvc396cGIKC+uVDSvsl5HDp54e8sft/aqf9cPSMgCinLSzLilFQ6o5vw4NUixQP8TxCWomUxjfAntcJPr9wHxdcc2zww9ryl0GuTNmLKtvq/aGdSPELh5NTLYlI6dr9okxbwMTAE+cHSLVKw1PRY/wW0VfCh/Hv1e1v3LL0Qp3HLth9TnGYkXzUmbRI+aCFNScMihr8DEuv/Zx8kp4Elp+on80ZwzZVIkV+dSZlc4JIt81McK/wHiTzxV8+IoWLprOSEilFTXDD9hRWR4gjgNgE638ndOLaB2Uipcj7Mj47ME3Cij8/mzupm58H4iLEX1R5kfJbYScMc4xGcf18BZFidbEldoaO5OoIP4dfU9dHSMqswz3vRrTZi6z8jjiTIF7Onf2NZ5tqH4EQG1tknyuXZ9IVXFXfiKU3I9+Bk1zsfDPNLmJdKYtKbYzZnQ+jdfOfFYZkqnt+SdocXqSkdkDIifnc5ONsY6vbsOeuy4jTaBvqh5zsLpy0lxEpnQ/Az1GEf4tt8MOZ8rrGpPzw1odx/k4H7t6XFymLBh1F9F0Lrv/Nb+x5z0/uLZ9uZSKFsWcbO78yKaBJpLDjAxtexfnbXSSChP8QuvLwUiSk+3ISU5VI4aULH8WjzdCeHs2icE7JECwmy5ujCaLzndSKFL86cZL6rqpsp7Q+gMQCLxxPLI947+8bicYdw7g2qnDnSO7ZOKTJFRxOFotOfpMejqtOpLDhhXFtjwoSKd19o3D+xfLs7wzYB4+G95Ce4oOfQsVt+9R2p9ChTSWJlMwLQEmOpttH77+buXQGLBwUzsuG7SxZ8zMuxYinLPhkxnj0DgzA7M/W4c79R/Bwc8aEUQNxIDScEymLlm9BZNQNWFtZwaeeJ5YtDOb2Yav2hKz/HWGRV1EkEnHDfDatnKsyQkVepLBrswlu2fkfPs5Ak4b18NV/PuBWCtLHRiJFIEUFkSIVRhjU/BmSHloripTU0bgOFzSzSoGNx1HJ8sf8ZLPKIlLYA2jBkIVcaiUixf02ctukwjamoU4ixczWGyv3izvabCy19Jcr9uUpsaguClELWaX2+F3qITOwUSgCPJ/iZmYTHEwUvyzxL7fspaJPbRfMjdQsUgY1jeRkDGvwRgSITTXL84IHR/F76/YyDal88bCXrVpltSRfhNSJFKCECx9996W/0B1/AefFgoYXKUM7heHVnH6STjH/wpeZ1xnz95R3KpVFpKiadG12p39hlV1P7Uzp8su3DfSL4GY3Z5smkfJ6wCnUd09B/aKBuJ/7HGuv+BtGpPTwxo5L5UN7+BcG6ZePpa+sx/bwIQoiJdxpILyinsH3lDg6SVqk1O4YIRmiwL6qtmn2s4xIYQ86NhwirsV+3GscjUe3G+LMPvHXOG1FCnuxfq1XKh40jEZhfAtOpPAb/wKkTqTsTwjkOjnyL0ldG0YhMkU2DNnzzVP4POM2rD3LRcp//b/F2VqdXkw2G46B7uKvl1tuFiqKFPfb3N/4useH7st3Sp+Ou4Zaz5xkRIp8qPtrrS5wYcryHSX5e0iVSJlWv4wLddcUkcJeiNjGOu5s4zuRmkTKufSp6HmnfH6XAuvnmBFdHsHWs1kEziaWR7N86/cb1j3txHUMpUXKpIRLWHLkGmK6NsJ30YO5cgr4YKdMWtg/2DC4EvciXDe3wLFj4s4Z315IT+rMrVLAhk1ceEVmeXR5bvIiRbrtk18hIrB9JNp0SuYiduB+Cn9lPVIqUmazL1peCVwb/PDpG7hww18iUhxHn5Qkwf6mPcLPDpcM7Sl+4oFryQ3RqWECujc9iW9OT+QEIRMpT+2e4dxx8QsjL2kHNI9EaLysoPb1SEJCelPJMA95kcJ/xR/sdxZDrW/ivkMOEl8u4ETKoxI3SXSGLiJlces7SLO8iw1Xyod/sReR6O+nI+m5s8IcKfLRe/KRBfzQngqJFM94jhnb2P3Gom34CLTXm4bharYH1w6wDn5W4wcobPNUQaS0rRuPgiIbSSSOOpEy4eVD2HFK/NL2ztDvkB2QLSlfXqSk53rh9M034GhThK51YuHsEQ4WSWKXNJmbdHhzXCGXxvcH/ApPe0e5iBRxW8IiFt7tcRgeTmdlqrB0RAp7gWve5RG8zicialwONwfPrtXi/gXXVikRKZczfBB511/ygskiUo7G2nHXZHOSDaidg0LnDIlI6Rt4HicjyofosHbjYNMkbHV8jg/uPMCfEYMl1xvcLAL1nz7GqFFDsDH2LPaHi9sJ6ZdjdSKFv/+7xdrCyelfBZHCT8jKz6EkLVLivRdLlkJlK/yJrPIlok/Zc55FkW2/JJ7fhYmUrB7DsfG2SFIH5EXKkEaRGGXbk9ufi0jJ7iozDwx7cf47uaVKkfLQJx7f7C+fJJE/f6ZrCt6un48D18VzdPEipeRhCQoaWqGwfiH8rw7mZPetuqeR6XsHVudbY+eZ4SpFyijffbC1CcSlO85cOyQtUqI9oxHUvBmCtigPr2dMR3pa4Fx2nswksKzc+bnvuCHc948ieZgIIrNn8CprApe6B5DyqDO2XRiLB8/L+4/y7a/0v1l5ml3aw/2JnxydkxYvVo7s7x+Oxu3OoeGNZnCyaIt7bjthWeaK3VfEH374unTeK1RG6rL7or+3FTZfteP6jvIiZUb/NUh+0FZBpFz7YaTSFbKkRcrgZpfxWpsDMHOIkwjfsR1O4veocqHI3XtKVoIa33c30u83xLFbnbn2Oqh5lCQ6jR0zzC8cI13c8VWylTjaV41IkRY53LFyyx+zYeHyk82ObBGGx0VlkqEyfP+E7ds8v6/CvEasnNmcblkFXmhp5Yw8y9v4/lovmfu5bb0bMvMtsrYz1txTo0gZ2PQczt7tIBNFPrT1QfxzXdxfVSdS2Io9bFO6ak/LQ5LRA/yUBywfrX2TcD2hqeTZ0L95BI6/+PDJ5sQqDpCN9Hqn3T/o3mZHpUSkqLtn6DfDESCRIpAtL1LWDtgP29JiPLIuQ5boBtdop2c1R2pafXEobeMbGNFDHI3CHgB37P5Fba8YTqSwDs4DyxZ4dLcQP19+Wcac88lTJVLMA6MgOt9FryLlulsRZ4D5cdP8ijoHrR5glG0sRPX8sWJfNy5p0i8Tfd1d8PElKZEiNSnUlB57sPHcKC5v/RpEYeOVUTqLlAH/Z++949q67v//l4RAAiSEBIgNYu+9wQPjPWLHKx5ZTuPMZjSr6fi0adOR0eym2WmS2vGO917YBszee+8NQgjEkIT0e5xzfS/D2Gm//f3VR84/xppX9557zvs8z+v9egfmQZRSjprjaXQyZCcBdpdprkcKeZ7sqswFKTfW22LS3AIVBge80JZ2G0ghMOlXVx/nBur5QMpzUdUUYsxtjyd8AZO3Gtcubb0tL5V97cwFMJnwyvQdXLrUfCBl5sS3Of4CEqQnkBvnxl0fGlgpzbC7cFqV9IrvKKzdy39UkTI3x59TpNwFpLCqqh71onlBCqke4Jsu+q9ASqd4P1wzBvDaff7oPMkEGv82SLFvRvRDB2AQmcAvTqQgRSPtRU34eS5fmIAUZVQTYi1PoW1IiW9uPE9LBL4YdAGn+n3pAnMuSHku/jw+ypsO/skx+Sy+ghcsWylIOVr0KHSwRkRrB0o93ShIIQtZm83p9PjLPt/xoyDlrXN/QsOA323KJxak/LM8By92bGP6/hzTtYd3HsRgdhgcLMfRPzU6q1TizH56J5DyqEcPlbrfDlJ60DA0bfRFAuPq8Ato8cmhH3s3kELGjkcWfUgrRxzT7MKmOsZskzS1uA0v50+nDKX65+Fa3XS+Ot3tvaUemwlSlqqqMD4mx/O9XfiuKOnOICWwHTy7AWjN2vCPG4wC7vHFx/DF9Y1UzUcaTfFLyoWFzpLuqM0NMmeet/9nkCKpgCngtXkDq8cWf4do+1oGpPTfh7zawHlBik2eFM7GRbDV2aE64jxNByHKCGKoPFO+vSXxAqpNelTeUpOxO9wrfbNxYQakIr+LVUOxEI8FKWxgzUqjl/nmYntFMeqXjP1HIOXL5XtQh5bZfihhOhQjhwbVbFu4eR+6Lq+dF6TMBOUkdSTK7xxNfyHVkIh3zuORVxGnzKRqDZF0tnH0zGtHgEyIzAzn6324UqAzYeVMkELTX216oXMrwsSkNRw6PVDiNonJ2AHYDSgh61fi6A0XCvPvj8jAEl0alx5yJ5BC1I7VigSUnWXAzSPL/gFN/HR1BRakkOeGmlIhqJqCMXGKghTtcBr0feswbN+DAzkyGtDvWvUNbARB+Oj0NBzbHJiH1TwGXLQFvg93ceas6UmtScTVikXUk4KMpfYrryNmvwS5j2hg3SaclbLxycp9sBiKgUlSySlSdG1huKqT0feTMWQmSGEXpletMziQQubdbwrvZcaq8CMI8XHBKYk1MvV8/E5Thkj5qVkpLW5DDEj5tCILp26pVWbej3NBynKXfFzqYsxmYx46AJtuMwSNmkNimwuo4/DYqekUFBak1FX+HH8rWkjH18cVTTDZBcEgzcI3udF0zKfQTGiBfYUMfJ8PpLyb+jleusakQZExqmmDFw4XBHCbO3NBClE3bbKaA1IsivFxKWP0/WMgpcivHQcPMWCU9K9+RwekDS+AxroVfxGp8NYgszs/E6QIxu0g40/vTP9VsQoXFD54vyIXl7IX0XHOy74DF6pWYKYihYAUc6MUnXDFN7kMpGYVKQSkPOcsh//B29M86XhCNsMUtxcMeN/9BOdnRT7P3KUXz/mdgsCqEaOqpRCbd8NgNoH3rj3GxXWzOu48/7kTSNng2YZqQy+tdhSR0Y8RP2dInAPp+GsY88F43ybYTIoxNGULk+UUKi2q8N3VabhP5usFNp3Y2xRLr+dckELio25HyW0gZfK0/yxQvjv2Kr4qSKPvZ1N7yGdvDD81Szk306+Q/EwyX/7BbwpfDzXO8vd4xnMv6gU+NE4k/llLgqvwafoWbnHPKnDKvthB57T/v0HKzriziBRGcopzduwkm2GWTlL0qXSzgBTtN+ZnwPfcRNOFiwVX6JhP4k3SiK/Uct88XGqYnu9J35a5iuGmc+b8/mYqUkiaGmmnHK8hdbKMjs2sd2Fy3DnczGdS98ixhT+xf15vwLuClBnx1CrfYpxviOKUTTPTo34MpGx3PoOly34CKT92D/8vPf8TSPkvryYBKWRSekwph2zEHV2B38NZfJQO2vWtiagb9LkNpORbroepEgi3maQgRTWegGobHXTlYdiXv+Y2kEJ22KPcurA8nKGprCLFx64N5kn50GUloOkOqT0zq9eQ9760+FNM2sjx8SlmMTZXkTLSvAW9U200YBbmBmPflXupdH63Ry9ekcvxetdZdEZO4sv9v6TvTwvKwdXqRLqouxtIeTTpKL7O3kR/2xK3cnxRup7unD0QWoe8oVHILXhYlNl/R0UKqZowuqgK+n4xqo/eMw1SZgx+ZHItqN+Gz3M20gmMDtjzgJRuHz2ERh6ejV2J7xuC5wUpbErB3LKq7AQyt/Qr243u9TqBddXd3AJwvu61IqCAy0Emi9J22/2oGRPhYOm6eRUpMxd990RlYqH9PgpSzEYl4DW6QjwlQVLrmlm53q94CGCM+B4tYY3gX45BaYs7l/c785jmCxRIas/5+DAcKZveTZypSHkl5gaM6hRkSDXIzScLitmpPSxI6WtUIqWt7z9SpLy79Bz6bKQw76qG8rr+/w2k3Cq9TGAgC1LI7l2d514OcN0fehF8SRcW+Z6np+Ptc2/QAIRM5mc1IfQ3LVSWIqNlugT0MxHl+Lg0bNYl3Ry7FylIo9UfMmMOwXyqHsYL/mhxZqqazAdSiJz5wzxm0t+54jCmzM2QLD4DKwstvrrxEnJb40DUL/bSJi44W77iC3QOB+DF69Wc98JcWfBrvufgbr6e7lzfVLfieMVsrxI3aSfc7RoQYDuEYKt4XBhq4XwuSD+4E0iJd21AXidTvpM00mfLQ/agw5/xYGBBytaIs2gXO8yS85OAzj/uFeZ9w0/hsfrpoLXCvggfZEyfz7uBFBJQvZjKLBgSR+uQI/bH4Yo8ZDXawVU6BPnW67OOhfyHfLdA3g89vwLvZDI7uisTM3EhZ8GsMXbn0uOYEhlvK48+996dC1KI98HF+iQ69t1VkXLrg+aWlSYP7178PWLsKylI6ezaiYImXzpfkN8r3TqtSLHJk0Gl1EOgYBZHxFvDtSWSmj92eJRwefA74s/ioq0ag7c8FViQQj7Pzr+LvtdDx6Tc9TpaQesxiVXtZcy5u5Xa85+CFKoim7LG2y1EATjtkfLl0qO3mWqSvsMG1ez5PfvYJJ49NPGjIIUs7mnaBvGd6YlH70AcPKfUcNJvon1e5jXbOHrm9SPjuAsWo6vdi/Pm8Zc3o07FAPmZKtDnoo4juLYPZpuZ86/N3Iwv/OUIismlyg1lthBH6zbSMYIsJMLV6zmfrTuBFPL9f3R/CFb/ZM7Pmg3fwDKkm6p75C0CKF0HILBsAq/9EYy2aiCuHoR6o46CFNVIIk6bKaAIaIF/vgQGqDHJ94QBkfjkAlMql7Tn49IRNsqUFG4O+BhK9GLKZAGTuYZ+9sDQAqTXJONiAwNSiF+VxxUpKtaMQ62V4sKtdDDy/mc2fwGdnRieHUo4DtihQ9QJTdEAKh0ZjzRyvmQpbRjK8pi1w38nkELmZjIv/E19H2yHxvHKYBsSHffMAilt1jy8mxCFtyqKcD2bGbtIjEAaUQfMBSmrFAU43xdL58yFK48gbI8cZqtHGF+ZrvtmGbTOB1JeUp2HxmkKg3wrHJ1YwqSaeJ3GkIUA2QMBsBfpsEBidZuX0y9sDuIDDRM/EZBCQBTr+0X7EjFt3ZTNQfuZIKWy6zuE9GqQFeWFb6pXws22Ha+lfjNLkdI8IqWfTUqfD1hexU1PDU4eW8t933eLorBOD/AnRvGmneNtIKUocxsWabLo97TIrdEtkuD3i+Kx0pCN4F4bHM1ffleQQpSkZSmu+KjwnlkgJdM5B7+39oX3Keb45rY7gRRyjlhV6mKvSvRJRjiQMtS9HphIhY7XizFhJtKbwilAmOn5wfqVzPy+O4EUtsw08Zaxyy7GQKAr7BX+t0CKNyrKU+E7Po4fAoVwjCu6zWSZNTWv2G4J2Vgc8usxqzLQ07aH0eIs/1GQwgISEjsH2IzRz5gPpDy4/BycUIC2IU/qjcRCuOO8E5w6gt6PM0AKC01mLu4JKF+qLcSXumnFzZ1Se+ZuFqwKzERSaBf2XouhMPGVkHpoZY34JHN60+jhsAvwF0vx22wG3LJx8NNJJyGfaIJq3Aef1ExvkpD45b7mYiB+NY2NOJAyIy4ngF4AI/K7/GnaF7n3pA7OVLHFmsbPBClmGgG8CgVo5NljpXQMJmEfHj/+e+6+KEtIxkel4cxmbeIxNDQl4nI1s+HLtn8XpLCxCDtOXru4lVtzLPfPxqVbCnK2SptG48ul/P4EUuYdHv6nH/wJpPyXl5eAFHLjRt9zgpp7hVTb0J0gAlI62iNR2h9yuyLly1RkRlog3HcSEtl1DA2mQH7UHNejfbGnatltIIUM7mS3JnHtAXq0LEhRyjshSs65K0iZu1Amg5XcoRuv5TGmd3NBirZ2LXTtwxhU6mCYUqB61BlSoR4Pxi5BckcPjhw7R9+3W/Qk/TctMAdXa34cpDy4YD/2ZO6YA1JasSL0AkR+E4DaDGfqYuBsZYK22wK5rTGzrgwLUgz91qg6up4b1Fb7luBcA+OdQCbX0pZtuFgVDXfrMbRriTzzdkVKvcKIAYELDS4u1Xpiv7YM7eN8bEv4hu6cE0XKTJDiY23Ck7cG7DuBFGIGRlrNaAe2l7bNC1LYBUp+x2auahJZWHSIs6Edcbwtj3dmeWDy2WQncm1kNpbKvkW1kw/0liaMOE3RXVKSQnDceJlTIewK7oK96xk0x/UjrlEEO4s8LmideWJnGueRx1lFylyQwu5ek0n4wYRrSLXfgRGBFZ4/2nVHkNLaEoBlze13BCnPpJxGhPdeGMa98dQRxmz21aT3KMRjFS0Pb06F+RlGuvzo4kucLwP7G8j1mFu1Z+b9yClSrFthk3mSuy4/D7uBiU4Vd0+9ffYNLpBmQQqZ6Gfm694JpCTyl1GIelKejfVXCpDt4sSBFJK2JdkyW5FC+vJ3mcxO7bZdH9Bxg13MXi+5D3m9gYhzbUZqKLOrQVqAqhE/jDyMFpElpjqZHUF3p04KQth890a4YY1dFlqSJiG/moAvc5g8btYL46kFRxDtdYSmUl3xE8/asSHjxGOKBvDFwejpdZ9VtYfdnWHPOemzFf7foz2kgT509m+/oOqtZ5KPoIDneRtIcVeehsk0iYf5G7FUMIoEzTA8NWaosNBhTy6zU0vafwpSrtSVIWjcBhqxBlmJl+iilAW85PNYkKI1XsFHOQzMYdMN2FRC8ti4rRGjXgao3IYhEmqpGThJ6bAUTGDcIOKOby5IYSHFnUCK5/KbWHZq2sxsLkghKS2KFh4MJjOqAJQURmGgzpMDKSQ3fMzWiAmZETNBimuxBSzVfFTayWFtr6b9hw2qH4g7g5HJazhR9jd63LNASkoObCZ1iB+foM9lVfkjeGQAsmWMcmEuSDmS8wou1MdgriLFvNMS2nEJl9rzt/ge2v/ZtLmZ/WSudH4+kBK47ges7QrGqVYruEoH0aGR0oCetJmKlL9s/RoKXgk1jTaMecO8hYAhK+TFLIDefAIp+SlcNRDuot364yvz06hfJ4drmwLPFTJQ0MeuBY23TENnghQyR4ZVd8D02DX6utFrO/CbRGes8btM+xgpbXwjWQGVwYhIR0DZsQNZhiq0m1RYpG5Gi0R3m0cKASlP+e2A9yfMd1vfmwejOfBYVgPCmzTQ399GYVqtMBmKM3ym+soWHeSy2SCFVa5MlKThkK8HMo5NL3Yej85G/Dij9Kn23YughgcwJGnHiLwCHip3NFj3wlpcASfbG9QLraNVhK/Ei3AwiDmmmSkb7DjMArteQQ3UZRp0yBwpSPG1b8JHG1258X8+RcrDkafxXQkjtydQLd1sAA94PkxB6G866hCjPDwvSHm/PB+XchbQ983cEJkLUh5wu469HYsZRcq6ExCfVCI8ruXfBikklZg0Ml7f4EXQ8Z+kzl6QKPB6awMtsd5mVo/XK5jUTNJIqtETlqd+FKSkLj/MQfu7gRTy+15a/DVONYRzqT1bkj+k39U69Evw+6pR4GyHsyeY60ygBKlc9lJeCf3/q8sWzAIpNq3m6D67Ca7ibNho+DgU64IvvRko1VX0BNKN9+H74jXws2/AM0s+h5WoHeW1u6jSkpzHVFkGEsvHkJfgQje7ZipS9rgW4gM7B0T9h4qUmSCFLEy7zPhYFVgIM5spiEt46PQbh02PGbo9eOgtSGSKF9xKNyHHPa9p6B1SewhIIdWF9MPZdCOmIsoBTj6WsJP9i44ZBenx1APus9VKeCbdGaQQOMaTuKEtPZCrbEeO5QXpPtS6OHIghQCf1Oe/xExFCpmPtyaXQ6etg7nJFmWNS28DKawKnaQfLy53Qt2IOU0tZUHKD7pSnGsMBvFsiXNthf1oO3qsnWg8Mh9IWeGTA/ehHq4fk3uFF9CBxpB0bm5gPdXI8bnLOlHSHk0BBtkQCHO7iZPlmzg1i9Q/G47So5x3zSNBFxAossWrxUyK7ALvIvQOy7BRWg7/qi6UB7nhw+bpVPDVvnlItjkKS7PnYTvqgRLRFVxoc4eH9QQg0OBKUwI3r7CqUzLu8iU1CDGvQIbFFtgYJmHkG6HzbmYU8l1WWP6ZCNcDbOES7QEzGPHXY8w4QWD8N9VXqLcSGcsXmUq5sYo8T65Tks91WrGHtJmpPWwMTAyKQ7xP0OfzW1dSdex8IGWZbw7aNIx/FgEpSlULWuRKDqRscj+J1an7blOgxruXY914JVx+9yA3nvz0x//GGfgJpPyX13EuSAmos4WX5Q0KUlp6IlDZFXpHkBIYNAI7cfaPghQSyOY6ifGe15/o0c4FKQ7l3shojaIDiKtd/yx5/FyQ8kTweYwZpdhTw0yun2z4M8xtKjiflpHRI5DUd9PnyAKjI2oCx12C8L48jQMpGuKezGec4ueClG7Z12DLjs1MxbgTSKld2gsrE2BpnMBeOTNIf1dxGgezmRxktrEgxazXAsXHN3Mg5bmIMkqhSSMgpb1nJzw6mPeygf3c1J53YuzwXjJT7eBXnS1YYlVMd9fZIJWAlJIRIfpHHZDiewP2w6nc7tadQApZFJGmOhKD+8ua7wpSymq24u+3yv0So8Uq4QkYpbbIyYyAq40aHUPO9PcRCefpyrU0mHGXdaGsyx+Jfg3YaPY55/dCvpPKV8WM9Jcl+T4J7djCP0yhRHidL1y0Kpxo9Zi1y0FeP9eLgwUpx5J9caZoWj3A5rOSSXh3/CXslqRRVUBt96cQCzQYGVwLiZJZvLGKlB8DKU8uPIIY5REa4Dz1w/wgZcvG1bA9x+zibnvkawzkBcHOTAOeRR9X3YIFKbZWw1CPSWeBzbuBlH9J7fC24z762e9d2z0PSMnB5YZEGjy7y1qw3mMS7xTMNjl7NvQTCJT+sDC3Qt6gAfdfrEKhkz3qXF1oQEgWsuJts0HK4xEnaZBK2tj2CiyMBlSzAAAgAElEQVQdqcLP5Efp/7cOvIWbbk74vuEI4i36mUUBSQesEuFT0w78KSYVFdWD9LGLgy10x4V47twrt0GCtz1+PXoKwvAu+F7xxFu5TFnmX8aXw6SxhcgzGx6KoxRctXTaI38omUJQph+04NXO87gZZAWhxRJ8WssY5JI2H0gpVhxHT0opfb788/spsHxiwQ8oNXncBlJctEV0TNm5eQmuuSjxUm4xXQjsD/eGtT0fhZXBNDd+LkghnkzNI770usynSPmh9TKS2u+lagRiyHonkDIxehXvl71Mj5VNN5gJUsjjeV42sAsSQ2Fmi0+K3VA/4A0feTcaVdMy9juBFBKANails9QYKaG5CA67joSS39LvJbL7uSVmyZhBgKFjjZCmoVX6BGOw04kDKdvLS2gASaB266QTVAIrLGvvoIsOwTgPJ10TIIwvgjGqlwuWd0ZdgHHyKA5UfU6/dyZIIYqevG8Pwc2XKT2fENGD3G8Pc8CgRZ0E3ZAMckUBLZd7IO95XKlNug2kWHRYAsIp7P+SOadzQQpbWpTsqP+7IOXRvhQKY2b6gJDPnglSXt14E369IhidDkI36QlRTx5zblf603/z8pIhKvacNz2AgJTBUAfYGaKwu9yCvt7bvgVNA4x8P85xCJ4uGdS3gaTyyIvGYdreB1i1YDRjA36R5Iyd9TVYms0YWk7s6IRQXI/G8cXwrWTKs79rnkH7NbmHiNnsa/VvoFPD9B+ysNmaKkL8Z4y5ndm6IpxyDoHr5CA6hXZoVb1OUx1mgZTNOsjlNzGkTsY3rfH0syc2TUFoMYjxWg+86egHqwoXdA47UpD5WGQmEiaX0HPY5nga1sZQ6PRj2Dtoh/W1rSj0lsDFVY+FhgaI2yzQ1CbG8vum59mZIIUsfkkjMUC9hwj1Al+49Ki4xUm8Mh9/WB5+R5BCxsznY07jzRzGsPb5B87itSl3OmcQkPJCUw4W+GTjRMUaDiCwipT3ygtwOYdRQ5Jr88rC72jJZF7tH6l/FjvHkYUXWbz9/wlSiEHu74PDUXv+PDOnSipQKz00rRhQVGHNRPndQcqthRwLZ1Z75mDzrdSe513y0Wkhw/O6Igz2T0Eu5CFRWYj8Tndk1q1ArKIVS8VMBUZSzjjsmDXy/AOw0eZbBh5+73FXkEIWmxZ7V2FxxJvoVwegy1KK1UlMrEZAylVswb7CdXSOfDDhEmz5AlT3eeHTvCX0PC6SZCC5egwlYa74uJ5RpDzhL4RsyBPHHDPxF2shIs9MFyCgH3yrUbXx5mw03/DFpZrplA316lZsaujB1foEqsroEPIQFZVFPVwIlCTjNmnFYQLUIhSX6xOx2j8Lm23t6eM/DKtw7pYnBftdH6z9FOIm5r6b6ZFCQApJd0RPDk0tLowSYWRdP9w6LTHWb4FVyofpe96suwKHlJLbqhhFOnXBWVeNihhr6CZEsKhRzirzPhekkHkz/Il9s0GKQy02rcyHz2gTJnV2OF+95DaQMqiLR74PA7RXH3vttt9wxfY69mcn0/6/O8gcLwu1SGsf4hb3xEh3piKFzJ2/XBwx636cchmA+Xg6LNVmcMPLGBDWIdNYiHGdNTaHZeBw6b1Ir4unc8TWylIuZiVjlaVrCdxdvudAys6wS4gaG8UrjYyhKgEXbCNV9OaClJW+hdgq/TvU/DcoSLnhdAbbfRejK1PMbfgRILG9ogTXohOgHhcihtcAjbiOgpR9mvuxs7yRjqWIHcCw3wS6etxxrnsR+MYOvGp1kxqfs2pY603pCOsV09iD9MPlUwVotHOj0JdAlGVB57As6CwdX0mbBVJumXST9cr2aEb1/33ui7NAymS9D+cPRUoyt6mlqO8PnBekrPc8jnsWHbgNpBBIuyq3Fvj82Zm3zU9//w+cgZ9Ayn95EeeCFMs6e7jypmDgGcHv0qC0ZzkuNsRS6ivZyiyoVv9eThUp/y5IYQfJzglmEmBBSqRbDRpDupHYaEkr3bCvmxkQzQUpjy0+C323AN/WMRLg91b/ExL7izD0rod2KAmi6iyIBma7Prs8yxjTsoqUSkcbvD/MGIDOBClL7GSw9Po7zlalUACwNCAb2+OZ3ZWs5nX4NvMBOsitCMlFq1oAB4EF3g3wosHVkfr3sMWPMXi9G0ix7DHDRHEshscl8IcDXMU8OAQx1YyInPekuR2eck+kA/adQMrrMc74LJnZ4YnTNOM3/JN0wcKClIbudWgyd8FSq6sws2qYJRN+IPwK1JMCKKI68M8DzEKVNDbwPBnsjPVV86f20FJx7vlgQQprkik55Qkf12E4ORAA583lChPDNLJQJq97ccmXNLf2Rs82LFadmBekEB8QtvwrASkPao6ifKOWM0hkDd9muujfCaR8vcwD2TMqJ5DqIkGel+lvHRpKwgdmfqiwcsefynoRYlxNdz5tA35Bn+d9yVRIuezlPluREpADx8QszmyWVUiQ38waHncWJNHUMdcSIdyKhZgJUthd0uh6R0wMTOFg2Uq4SNToHJHSfGZ20UgVKeuO06oFwsJYpLWtpX4cu+11iMsz0oXWExGZ2BDPGCY/e8QCEd7pGJ4QIUnbCrn9YipHzRVeoyWdSenxFxZ9h7H+dXjpxmyp6Bs+b6B0gQh613G0ZkfjyXMtKFfYosLFE1dqkpjqQKoimr//fWgYLXO7UVqNt+qZBQwJSEjfD6yV0P8/HnkPBSnvlx3DtutqDKwktUQA+9FcHBlfjxZvE0LCa8Gf5EFzPJUGCiTFJyJ0AovtY/CG6geaAhByzQ7j1n2QS/oxol0L0ZgUett6eNie4QLy/WGRuFKfSAONcOc63F9RTgOXialg7Gtjyl+Sttw/F5fqpp30qSLF4QjaFzApImWf76Tnf1dyOsokDljaKuXk8MRctErWha/ErpgUG1BoO+3jEznchhKpBxf8sSCF3T3a6xrHXS8CUjxc01E96YUzyhBmzGi4huSeddQrgKiNSGOVcuRvVpFCQMqZzq30+RRlMfVtmAtSaMBGxrjqMS6gjHerh0JeyqVXzQUpbH8k72NhEnvOiFfJlGkQazXMmL1F2YD7BjtwMW86XY4FKZYFDmiXSDAa5ACPQQ9U6odg69CGtGsd3DUg0Im0HWVNdCFFUiB+d74HPgHpmIrv4oLqbRGXcWXkJAaamIBwLkj54YdzsE2ZxITADNttl6L204McSGk3rINNcxoM9iUYcGpAcUbcHUGKxKEf0jJL+h1trpJZqhiywPW0i6b3EAtSyMLazaaPlj6dm9rjvuwantMEUpDS4pPL+YCQz57pA0TSTYQCXwSVrUS3XTmcx99kzs8tE/EXViXBqZyUPGXSdWYaYxOQ0hY1WzbOKlJIAC0Z68fK6Fw6DhG1h2W+EYhiAl7NyF7YOJ7DcGcopC1MZYI/bQnCcu9C6IfMsbCAmbfmgpR8/jKcrkujkJB4ar0YYgHlXkZp45qWhS99YvFi92m857yOAyktbSvgdUFHXzN4C6T0DS3E3rYYClI+jg1BfGc/otW9uBBrjaQODSpcnaHSmRBkZYOA4bVQS1vRP3UELSFGmrKzXxDLAQxy38ycx+cDKeT+bmz9Bj4qJg6oUMhQ070N6qjrsJkS0vKkZG5/aVE0DhSfpt8dae0Ak9EG1RajOJqxkM5Z250L8Ody5r6jyrt2QDo1DpupMTTpArHOpR4nG0Pp/UU8kD6M8UW7RIz3misR1eFAx5C7gZQ/u+9Fo7cbINZizKH+jooUNq2HHEdlz304XRwFFxsVHqrKp8c2U5FCQCtPUo2wxmAOpMz0NyJ9KlFcjn81Taf2lKwbR2VLPOoH3KhvDxlbPtzkwo1ry73ysE3E3PcveF3FQdd4vNR3GcEhpbAZdkJcXwOd27vGN2Gss4MCgMfvT8SbNzMpNH38kQX4JT8dAhUPvvvM/yOQohcYELuIScNOv/EBMpy8EC62hoUe6DdvhyFCBYubYdh/7R6akhThdBOrCkZQG2SPYyMxcJapsFHqTO/lU47nsVHZj13fbmfuu1tKoxMddlQJeydvCjLHvX29lC5M7wZSChxCUe8koHMSmQseMGPOWaPXVzDo22AmcMWb5xgI/Me4I3AdZSrAEdXQgb4xuItHsEO4YBZI2RfuhZ1ljB9Wf8gQ/hzBbBykdo9AtKRiFkj5ZOtvMKBV4oWmGIyE29C56euSXJQ3udHUMtK+itmFcss05HV50hQkNoabPLScK8BAzsPDbsVw0m2jc9PVQRVON4fOSu35MZBSErkHOomRKo0JGN1mDzxc1TELpPQdWImqHiVVlcwHUizsetFTzcwhSY5baTVEvcvXENgVUFXq0ZL1FFqR4g9bK0u4eY+MVVaKGvgoDnIg5cGIc4hW6biKgXNBSkugFNnWnmjtdabKaeIjsl38+bwghaj3MoYEiHRqxaqCGnRETaJXYYbgXD4KfXkIGFcjbzwVSvssyAUDyB9NgtxCiz/6pqLSwQ4+g+U4k56L6lVaToFKVI22Q8wmDjn/6wzZqLL3Yjxlwo/gnoBsFMpiaGU/N5VgFkgh5tGOsirwhS7wlV2i52suSLGbtITIChDp9RgcluFYQSpn/D5XkeIfexm7RcFcMQj2XlkTk4lNWRU/gRRu9Pjf+eMnkPJfXsva07+nxrKNbgYaTBaUpUBZZ4kVpsvQmRlQLUxGSbcL4hQdmFhfQL+NBSlBQRrIxTkYUiWjpsoWLVIpduYwahBW7kYGgQTPPsQ4PQoWpBzJexYXalPo4JnpacCSZv6/DVJeWXQAPe167Glm5GV/XfcxHGSZGBxKxpNTG5DU2U0Dtka5BD4qpqrAvwtSUu1lyF7+zXTpV79cbE98n37G9ZbtyK2KgptYjUC3LsSo1mPCQoN83j6Y2fYhZLwdQeHMaz8rzsLJgtlO5qwixbqHD+9sS+icXODds5NOVJIgJpAlJr4XZVnYFRKB8zX1OFclpgu8uYqUXycp8F0sk3P8ry97IdlxgIKURUUhsNJPoXVKg2S/HWhouUANhHmTCrxdJ4dpyhJrF97AmMKcDsgH3p6u7EPypumkLrXEmvqueRUprN/KXJBi3BOCNNteiCKv0kVu+7Az3Rkd6o/CVyXMjtuqLSfR1B2Am3oe3undPy9IGbJpwyu5zA4oASlPtJ2g+dtsyU4WpJBFaavKkS445oIUogIgpWV/DKTIu4vp95wVP4Y1famzQMqjXX+Ck24YaQ29FKRULLRCt0IMvtYEnmcLB1KeTDyKGL9D9Deb+MyNaLGHKfnKtpkgJX7FKUTY10IxlAyvlsX0JQSQfN40QX/LTJASt+4o3fFyygtGVOdWenyJISL87OQQfe2DkTewI46BAwSkrLL7Dp7aURq4tq3wxpSVBF1tk9hzy/yZyMA7F8bitfxpwEDeS0BKB8+Zvpd47qQ7eYAAggeKVXQHjhxTdHcjJnx74O+n4hZqz5Y/zpy/WyCFLc1974NLkGer5EAKex6q3BxRb2mBDYrD9KFKfSiqtCk0UGClvo/2v8SBFGGBPdJOGrnzOGJhjt6l5vCRttBdMtFRM1Qv8wZ/nAeZQwUshVNou+YCrcsortisRmMuo0ghCwcPWw0u102bWpKFVoHzMfQnlkE0xEfn+dXo0tgiIboEO5QMoExveRvVvUFUSnum3wfvKpYhRt0xC6REaFpQaqPkFhyrQ7LQ2C+Du7wV2+O+o+ocFnyRPrvd5jMc0cVjX+hCujDcU52HpYNpHEgZszDDc3wmZZE0ClJkAxidvAT3bgaUVLu4/dsghZhb3xd4HnUDSmBgCYYXZXDlj8lO5NLIE+hP0ILXKEXZ5XWzFCmkek69wyS2j3thzFpNIdfrVWWz1DoEpETvF2OvJJ6CkXeaK7CzM5EGziWyH5B2mKmOtHz7eiSoO9BjZQW1SYJ2qZguOF+91IFQ+2LoVtT9RyCFSNvJfWWQjuL4txkcSCG7dWaVBs4ken9ExF1BSlwf419x2SzxR0EKGWee8hLOypdnr5Pdggr8SmdPQcqARTYqY6+iK2cBI/Gf4YEVkXgN9/WWQeNkgMpogwQDk5L0rp5JM610NSEgz2naP+tWBT3y3FeGb9CWHD4r/36pRzHatHLEBdfgYzcXfDqUBUtMQlhsCWHrNEgx1HwEQXTuLJBCzh9JcyWLcLpIuaXwcR8exbLxQjw5woC9t1peo8dDJOAfWUXA8TADUshv3hPkx4EU8hhRDJD7OiRPjHq5DWwXTMHeqhntOl8c7vCm8/LBSHcEd40irG8IGUEOqBY7Yxm/Cc7GMfQI3OE1sZ7eD4U92bh/9TpY63XY0p+P71xSOG+hmSBl14ZUqogh7ZNcpnpVmNgbE5U11GODNBakPPeL6QVxmn8uXl4ciaoSFWwn7DA6egKfS9zREsCnKVCSHjPYF1jjnbJn6Gdw49wIUwbzS+ka7JKX4ExdNAUp7EKQPPdqZzaiJwzUBJTcZy/GX4ZA2IVGC0cMmg1zi6e3nT+m8xtpRIlBU3sihmAlbafn7PWzzGYPASl9U8kY0QvQodRi3Jwp4U3UEKTNBCkPR52CmbRiGqQAtHw5l3qhqELauAqfjTApBeKVGTjkEc+BMHXHYkzkCdAcN4CM8u302t/rn4l1Zkvo63/hlI1DvmEcSCGPJV7dBdmw5ywAQPoXUe6R9tvtoXjF9hB3zHdL7ZmrSBkTTiIphanG1D25B+sHXJHvmkb7wlOaLApShFkh2Hd9A40FlL65FOCTeIicW3KeAhoepKqCHxTnsMWzBY/+azf9PNLIXEAUIaS8O9nUSHC+gqKhJFy6pXhmr/0710twte52RYrkpBILCphreGTqSegjc3GlPmEWSKlJeRf2IwZ0j8nw4SlmU+9vPscgs2DUTlOyYvB9/kwrNfFq/0TPY6W+DnunliBS3Yn/S2fSrglIcbBl+t8V3jo6bs5UCT4d/E8MGB3wNVw4kHKhNRtKrR9eyGJUQgSkqJyjIJNlw6Szw4hRiZt+eq40L4nX1/oVccqhDhsJkrr1uNgYOQukNJuloNaFia+JieqsCowKXxBlOGlEFTUsacUvPDuwtBSzQMrZ+mVI1fTCRqCHXmdClRCYyo7mPIsISPlBxngFPt7DKNAFEwWwjNpHQUp2azK6h+3gbDWExdnT6ehkrPLCAHzkV/Gro3+n3nr3h19A7NDEHUEK21/UJ1KZaoV3ASnkOIhCkxiop5w2o8dF5rgVHS1oGONheT5zrIvD3wABgcedQzAmNuGgPImOVQSkiIwukE7qObUyASn2Wmf0VdrC1WYIkf2ts0DKWr9iXA5gyoR79YkpSDmQ9yjaB/yxOfwivN2uYFSVALE8l75mf84LNH5jU3vIY+Q3krTa3h53LPYtpfCzou1eKNr6UBbsxqX2WC7NwHr3QvDbvLD/KmNyT9pPIIU7Ff9zf/wEUv6NSzo0PIJf//ULlFU3QW5rg9df+Rmiw/zoO/suvY9enhw9dn00mCyqjoPbTV9YN3lh61Nfobg1AB5TPtCPV6Jo5a0dkJuLsURThjBXPexsb1KQIu8pQtukPzrseXTH5kzVz+iA+FTyt5DYmiHV9T583McoWgK1AzDjNWPK5IWPeN53BSlLPapxpW26uswb8Z+jqt8KTr4t9LM6xgPhPTWJrikhUqbOcIEcCZ5C+4boa1iQcl9DFT44l4uZipTnFh+CwDQKxXg4BHBFcKSc230gEjgWpJzt2gBvKz7QKYDaTI6k0RV0cTvQdhm21u2wFbfBM/4D+n0fF+XjbCETqLDt0fgTUC+rhFUvHwX5qQgXDkHpJoXZ2Ai8FN/Ql1We2IhrTiH462I/umhbcJWUSfa6DaQ8skqEC37MbsZHHwjhvvttOkgq8xPozr2F8RriQp/F9epmOOilsDAfgaWwApMwQ6milr6WNKJgefowk5KySsscqXnIMWyo6UXWWltUNoQgr3XaTPOzrS/BTNRJdzz/IlIgZXkVfY9uXxBWSPo5kFKv84DAEmht9cbB3BXcrkdlWQB6+0bwt6lr0yAlJQf1ojXwU91Pz+creUx1lUXRpdhZfJOa6ZUsmMKknxbDx9JwuToRVJqoUtBzwwIqViIZH5yOx4tq8Q/fGBR3MIoN0mYqUlSqZPTmuiPbQQdrVx9s70xiQIrkJn2tq/daev6fz6yhIIWt9sEvdoS5Qo0FY4N0EmpoWw9xfzucLas5eX7MWy5QaCdoqoVBZECllwiLzJjg53TvcrqY6IsNgJUoAmKt438EUh7y1HJ9gkxqz0Qzv+/Nz4SIke/jFg7Vq7XodQfG6sJxNGc5DTBJmfFdE1bw8nuLvocto0lAyrBEj1pzJV4K2ghn/RBS87Xw42k4kBLY34qXY81wWlZ8G0gh76fB3a1d9Q0PpyLfxgtvVh/HQ5eZ+w8pOThy41sMKouwTX4MtuJ2DAuscFb1EN29Y6W55D79dXk27m+twEknf5x2CkDIoAp/vMHcs4aoQUz628GqT4/QA+O4sdobnno5NMo+9JtVI62inH7dv0wv4EYRY7JLFiEHcn5Bv4dt1OfC9TB64qtmBdolDsewzSeFeuew0LdgcAvSzczxgdOq20DK9s6bOOCajEvdGTQ1SjM+hmi9BiaIoOWL8YjAEx/jMIYN4zAzusNXfW0WSHk3Mxc7rP7JjVkzxyWyAF9g6Qa1tBl9wrNgQVVWitO8IOWarwJmZhNYWKvhpMYuPn3wH/WHWOsEgUFIg9sWgRlNJyB9YrX3GYz7jqFj2Bm6iljqydSucaBpFvckXUWNXI/wiEJ62gjkmgtSHlr+GeIyjPjEP5qClD+2lGPzuAuFtE28LBS3Mv0zK8QaC2sn0anQo0kmRqXIjZ7jx27WYltvI4I9T0wv2H9EkcJeQ+KV8l3WfogHxAhezyz6c2XxsMsHB1L2hUfRxc9cjxRtiR9i1RXw9GHuS1fRd3QcbfRgyu/OVKRkyy7h65up9HxtCZyAXCeDoS8XPXzmPJJGoMIW9RBCtZao1g1gcnyCSyFZ412GEAsZc/9bdHLeEHR+8mP8uuJC/koD7FUdRbNAymqfIlphhjSiGGxbFEdBylt9pHKECa8q/8iNO180bcAX+SfRKFDApBegzN4RT4ww5onUINT3IgYGA3FGFoG9nhHQiIS4r6oeZKH0/iCT6rDFQYW1nc2QD/OxwfMd+hgLUh5MOoUfrLwwdoWp1DIfSPlhTyVUigGsrWui96swOAS+6liQailX1CP0t6eH2MC+n4+wPjVN7dK1RSHQ+SCdq3OCFbBzNoBv0mBUo8MlpSPGGhLxlP5fdIy5KQmgqs+Q/kFcOnCSfsfv1oRxitAkdyZV79r53Vjg8gPKREpcG18MgUAP1wzGy2jmQpekEpzK3A8bWxXcikW0H9f6ifCoxUUKpI2DJoTomUW8y4JRqrxLZkGK4zJsM+/B1YYgql5d4p+HVxYzY86zdbnY2NeHk4PBdFG0xsELMrUnvf9IiuDbHowPzG6zq7eBlMixLlyPs0KThT2KrtzyZ3lwO5X0d/XyUMz3RouFA9bVNWNl7hDSfR3w19gkLMtgStNvC72BHp0ID5YV0e/4NCUS24xAm9EMH5fGUYWMd5snzjNrMhhXZ0NtK8ZB3QGamtXdthSo1sLFvYS79ruiL2LBOLNxMxek8DUC+GYnQ2gjQGtwFRRFanr/EZBClInB4x0w2pg4kJJZuQjZrs6cV92nIWF4yoJRgJLFqbBThJEvnqAxVau1AQlOZ7BkEaMUnQtSfjaSDbPwAQizQrHv+np6j8Z7XsKSmwyAN1iaqEfTlO9myEbdcVBxAds9m2aBFAKDfQoXwr8tjc7FthknkB4WgDyVEkr3XnwZ6oAqSze8c61k3tSewUJvHOcnwdY4ilVHQ2b1r4QQJs7aL9Sif0qK6NEGZJ1j4BipBEQgA1HhtrpdhGjKA3b9SsgHGSBViHocEkVjQ0MjAhpN0Fjz4W/qg9Ixi76fBSl2Xe6QlilhaRKjudwS/cOB+PkDBxFjHk0VKX/v2werkG4uhYSAlELnROi9x8DrN3DK2f0x4Zy3CwtS2Lj5g6vVFKQQvzTPmAzoh62hs5/EpNsEzAfMobfXQ3wjmPqmsR4ppK+bD42gNzwQw1ZjOGQQIW3UCM2gDRw8+qBJuQkCUmKNDVSBKiyXIK2rkOtzZBOBgBSviY+Zjnorvujyj4OLNQPr5eO/oU+x8Jb1aWpRp6JrQIoACzW+rlxB/ap2hF5B/PDoHUEK6Ssk1rwkjsWl+kQKUpYarqEl2h0mGR8tdVL8wm8ZVYrTezw0C4Hdavz8MgPjybna2lCFnm4jthZO+yMejinECl4DHrU6h+c9H8Zhu2QKUhrtmLi6skQFHoB/2BcjyILPpcDVXoqAj24Q3YuE8HK8RDfrqq5EwCqoE1MhjCKFBW8Tnp/TqoskpZ9NpZ4JUpxjsiEYENFr1l4TiEmtLXYFn6YxbG31Big6B1G4QI6i9CTILLUoDhzGCWUsN98zasxeKL3asS2z6idFCtMj/6faTyDl37icr/7lc7g62eOZRzahoqYJL/7xE5z+1xsQCS1w9pPPoByUo2dtMyZdJ2B7QwZt5lqotR4UpJxUGSEgk1WBPS2fSNrqC3W4rloKo785rD2NmGjmo+84I5fcsogp8cUGYMRPIcOkoIE22UVoN7fDz4fakTbRC5VuCpdaLOBubk9NqOam9rwZ2QwxzxGt44Oc1P6rmKdxXZUEx6XMIi2wmAkYqlo30IC8Ycobk82+UFlbYGETc7yPPBhNFSPNgzL02vrAzdCPp8AEsepOK0w6hmFRD5M+UWX9LbQCb0BoDtOYAcvdGO+HZ7qfwTGvOKxtK0TapAaxMhuav119cBla5Cps8/oY7tZNeMf5Hnj0Oc2SwJNd8TUuVdAGNUEPI+4Tv4Cw8W7sHL8JyegUNirO0O84cvQPaHXm4b0lynlBCrtzWSGvwbAzM1jv/CqMA+AL3UgAACAASURBVCl2GWLEjzHnwyWa8Rj4+vxlLJrQYspzAQymftT7X+BAStXpNFSXMQvMnGVn6b9PD43BTmCAY0AnuguTuPxaO6sB/HnNe7R6AgtS7vGto+/pyfabBVI+nIyhcm924cXKR0m/ed0Qg98LCmeBlErzGNhOOaPLmo/Pr22in3lv8AWsK2Ikrafj/DDq2wlTlR/dYSYyajdpB5VkK13H0R3VzgUKxHGcwI+7g5QFSD/0DP6w4SyeEDjhAZULBizU8BtkJjcSNM8HUkylDjBWKRDrTSpUjKGhPhIdRQtpn//BgQkG2/p9YNSbI9XyOmIM1dg/9jNsDmUq66ziP4EnmrMh4w3DRciD0C4UBp0WJ3MYHw1iuEZk5yQgjFt3jN6PjnkhiO7cgiFxO16zGcAfNFdxzcUfB60CkSFm1DtPHFTBIzIL/WbWWJ83jMBBZpECtwmcLGUqVGQt1ePlrhpYOxpgpTfgxE1mkfuo9ABdpKQL43B/yG5EDbejarQce3oUGBiSwVM8AEFrF9YvEKLOMp+ClPyezbhWypjIejcH03/JYoi0X6+MpaqNt66XcsF8a1QPfmliFnVPN1jT/HfSrtmugF4kgnPfKEIzxmgwQlKCHHr4aJdL8NfIRKxra8S7ZwpQobCFJnQEw6n93M7mzVVDOCVJxKjIGnYGDUL3Mp44ktgiHK5mFqDvxHfh3FDbHUEKCdztG51R5uiFxjGgUCJHgdQTNcWDNMCptjmDUpElXnPdehtIua8xF4d8plOG/Ca02DzYjxivLGikPXih41kU956F0LIWqglP2PenU5BS5q2kaWW78vuwXrpnFkhhoQBRp41Y96HeohGVA0buXN4JpFzwcUOf2By+/eMI9k6AVOtBSzwL2kpg1uOLSRcDenoFgMgS31cwcM3bJw/lVm7wMnbjkX4GzL7VV0f7IvFaaDPXISmZqSY0H0hh7zU2Vefp7puICc+mryeB8d+t02CYEuHlY3qMTdpDO8F4Bny3q5H2kV15Vdg4UIc4p3P4fvgxmjaW4NGMc6oLSBQzi82YUQsMWNtCbzGKe6MZ82Eyj5CWfNwWygF3bH6SmXuIt1FfrRIPf8/sEO8Nj2Z2QP1yoRzshrtjK027a2qNQHC2LcIfYBSELEhxiz4Da50Jnr2DQPByqj7pNRxHE98MGW6O+MA7mH53SiVDndmxk0AFhWaUgoI8ZwWyvRzgqDGn/kQUElowv4VNnSHn63KQHOcaGIjNtoX2y/G6yRzaETlGNFZwsVRhTwGzmJ4JUprl2dwCg/VX+aR+Gx7+1ofugpL7mcyHToFM32QXHKUd63A0XI4vlSnU28RdP4jkkTq83Micv1fGJpFQxUjr2Hmc9QggSsmTbTJMdDAbMDNBysvdp+j3VbVuRF/oUSyWNEHIH0OXQyBEXgb0donQM2ZAVKcGRYMpSNKVUpDyaWggHEpTOZBy0UsJN/04c8yyKjjZ1ON66a8Q7HmM/iZyz6wI/D/ufJFr4dbHQ7PcErHFOny+hElfWJhRgV2VnmhRavGnVU70viXnhjSbdYfBszKDxmCOZz1W4B8XrsNpdAxVAcDvQldzaUNE5WEWVAOZgrl2RJFFQEpk/wDtxxWONnS8ZFM+SB/bYfMpfW3lWAAE9pYwBfAxpTHDmElKF2N+Z7SQNU5BvXADeCZgqvMHClIs+s3x9chqPHuxgRqJEqWOsT0EewyMSTkxui3zUWGgawI3R/xhKWGUADcl/kht0OCarw0SLhL1qhfuC85C44gbbvEurBopg0ltA3dzA44UL6X3vU+bFwdSfFKO4dcTJ3A1NIwqIK9XpyJgoBbe2UnIkQqnN3LGGNXSU27X6CKLTe0RdgqhOOaK0D41XluUgFUNrfQ3PLQ+DZc9PaliKXmiDsYeT0DHx3sxIZCp+YitEMOhxhP/eOhdpFcxqc0sSFF98iIuhGajQaHHz8cq4GI3TFMid/uN4rFmO5wOXEPvw0dGspnYdAZI8XW9js15jHcHaUVOdpB5O8HGZIH91oN41rtrFkjZ+dB7GFMrYK53gWDSCkvPMia4Hy/1wIRsHAkdaqo4bu1cQucQNrUn3jkfeguSNifB0347uD42E9Q5JWWBDyMOqxbihFMEPRfsvVZq8QPcJbHQCvphn5NFvfz41gvg05mCenkuBPqj8JrqwAnzxXgqbCf9vb++UQVXcR1cxI3TIOWWUb/BbBK/Mz+OU3YiVLp0YfXEYgpSflN9A5HqfnxbwQAcAlK+dFxG5zP3kVEQBZrK2gwv17ajossFQa7dsO/ooa8lpbxJY0EK6eOHY60ouHxBdRVBtg2QZ0kROKzBmO0UTcP2qo6CQ4sc1vX1qBII8U9xJMYk/bByEeEeCzW8RSIMObRg0L4FlQXx8LZsp9W/7gRSxD2X0KhzRmI9c01fiFBie3QZpvg86A/egx7Pmwi1VlEVHAtSuroXorbGB2kNLZyymoCUxZV1eNL0FP0c1Q5m02XDVTEebmVMm8di6nFSt5WmCxGQsgiXkeHpiBqjP0R9zvgwQcmBFBIjpvQ34fABZn7c9EgKQvsKcJTniJAOR1S69dLrQNofCx3we9Ex+jcZwz4z+qDLIQmTFnxsuiKGtM0ZZ7dkI9zSgAfM86HXizB42Y7C5foVlvD1PEdBSu2lcNi69mIiiA9PXjcEmiDwOn6GDmkx3IajQCo9yYM+B8aUONm0BDWdbghza4GnNBPLA5j0ONIerK7HQy43INEbUdthj3K5A63oRkzY9/UlQqZqh8A8GJ7WoGnOsNQgIDtjOiXvJ48U7lz+r/zxE0j5kStpNJqQvP7nSD/yASxFjEnds//3ETavWYTU5Eg8/9GnWFi2G1arD8PMWoOmxlD8w4MxgyQDAQtSpsoc0V66DA6jBjiM6HHWeQhWw0qEdDujTd6OXK8++h5CY2scO2Eu1NFJmICUzhE+LjhJ8VtVOkR6czxjvgJ9Ui1i2nhwH27F2ogwbudqTYAvJ9GN8zdCM2mi7v2sQRuZCAjEkSiZwT5aw/gckICLXaCR/xOjModKZidwJK4OGboQfKUw4aUONeotLbHVXU+f+6bXEgF8d8RYRdJJzX3kfZyXLISFxRT6xqXYpmQGwBc6n6aLpi2NBQg0DcDPsxnaUTEM3+1GpXM3drl9Dk/LFnxlSbwj7DBY7QwnuQqKrRdoKlROhBAS4SDczVsRGM3s9pFGJteXZEy6w/Ppr6I1vIdKV+dVpNx6z0bjQhzjZ9D/kZ1+2Y5PwZONQ19lj2hVJ92VWLZxDX3+z5fqqKy0IngYv7lUA6JWIFVRSCOLo/RCxvBwmXsROqTW2NBkjxdyAjF1/1nOgZ44rwc7tSAmNhcCGwO0BVK8rBAi/aSavvdEoCOWWw7DMqANk3p7vD+lxN/dl+LZ9jIs6DPAUqzGlGs5EuqqpkEKgIyW+2HHG8WobATx5WM06CEGW6QJ1SJ8u4IxcSOw6JtH6rGjhDErIyDFKZmYvU2ABHIkAGQVKezi7uvgEGQ3MbuQBGStCymCQtGHKaMUvWob1B3fiu8WH8SvtUMIsSlDLqKxQsNMspsii+A9NIpVpapZihRDmT3yzdzwlWIp/pqTCX2rA7rgQO8BduHx9dhqBI1O4Y9+5hgz18GdZwMdLxyeun5s017DVLM/dIP+0IXXwLCqiu7AuZStAm9cgjHbGrSODdNS2oaQVvr7FLnhiOnaSCHf5WvOdKEUkcakZJHAnrQPe1bQ+65NNogojwsQThkwPBgNM7dhHKpKocFzZpqRLmg/3KpHzFgPokMYdZnkiAzevAFcMa3Eq4sjaFrPOdF15DUFw3fSCzlSFf4ut6CPaZoiIdFJkGVRj2zbSYzoZCjss4J0QoCNhUzK0Le7GlBk644dReXY0szkN78SXoUsDwWUA3bYlZmI1/yYXd4imxCoxSJEFvAoHCEghaQHENhgXvAwXO2L0QBv1CbUQTpiBlstHzV+PPzmWjH1bCFKl0+xEX+KXkUDTdJP+iUjmAhtRmUZY+BMxov9mqeo3JptZFGaF8WHYUIEA0+IIkEQ3l4cQH+7mYlPF/mnD5/EJN8cfXxfOISeojvhrCcK+Zxnq85CPNiFNxYyMvH93zSjkWcJG7Un+GlH0Wdlhdd9l+BIQwOCtHK0Cxvh3JWBI1bueMqC8erJrnwOOoMVdIouLG+qQ6WjFN4eI+DJwiHqX4iPvCrQqdHDMD6Bd7OYtMqylTxM8OUQwoiIc7cUPwBOBjjhrKsdpHwZbG2BBT1qhHZX46bUDm0OfDw1ehx/m4iEtygI5wpX0j6xJ6oauzISoVTJQdIeSGOrWBGQUi+dQGokM85of/sb2MRl0f5EoGqCZylEoyNYU9+D86F2OBduD49uHZbblqMzSkcD47CqUVwv+zWGrDWQaZk0BNJYkPJ43lk4GrXYMtYOa68QWJoMKNBI8MPgKbzhxYBJ3pk+VNnLUeNsA+sOVyR4HKKKJtJe7noUiQ0LOZByuWIj2gUO+FkGA1pYDx0W0BNTQdLe9wlEmWIIr8Ywn5PGewKbzrXBx7GHQlACRHqWJ8DC5AhVXz76x0dg8mFeyyoSyN+7C7+ljz3lcgAaJw3dCS9XyJA5uga2PlW3SfxZkHIm2AnH7R2wMp3xUCCggLSQNYM4fsMJdmINOn2mIJicwrnzzMbETJBSL8uH9eApuqB61vtp+nwL7GaBlIK+ILRFK+hz97TkwVwwjiPNj8DOtRhCu3E4j2npQo22se/pP0cK9BQuk3uot43ZaMhS3AORFQ/Zagk+4+nxYDGjDlUFaWlqz8/qSxFfJECv0QayXl/wPb/DJs90jE3YIcMjmBoJk74QXdeHxkkltgTL8W2pHvajBnwTZIGwjPWItjtGU32+DE6ArJwxw06IeQ3u1q10Xod7PhbLr9DPJI5LWaZklHkD7rpBZFQtQWqtH52D/3DvGUROaKEe9aDjjMB5CP9Y5MMtcsnu8Fa3Gshde6FtdcXnak+8UmELB9tqXPewokbYbNpQqZMMe7xd8c7NCno8ZGwi4615vTfOjixCouIaJG4tGB5cjPIuV4Q5d+KQPdPvHmzog7XcBn79BrRY2cCN14nhUXcc8FKiVWaLpFw7JOhvwMW6n4IUMoc9YPEMVdoQuf+aUj1s6n052EEUdKWuR8AfbMdfpmR4vi4IzvaFVJ1wXZWGxfKr3MYVC1IIQCLt8JEcZE94I96/G4t0KVR5+aSmE5IaZiNmJLAQrw20cRtppgIH7JuyRgnPFp+ox+lmhZ/NOCqtGEPkon4tTNYKhJi1UbNTMn9lHNuBsfBB1LubsKG8G66DevjYlcJLWEcBm419CeIXMuoBMr6Ta3rNSooqly4cii9GLjFvADDQMYERnS3aM1JxPOkzOmccLtZhi0UenRMcSy+jQvkAtOEmyEdMcJCobgMpIu8sGCZ9IZ2YRMjAEPhmOkS5XEW1mTdujFnjC+UYEs4zFdDIBo/EKQMWFmYIsWnD+KgUnzowypsXx/fBr51s0G2k/aNU5kxBCllgH/F2wdbcXpi1x2NcoUJFVBfkGnP4ZAdwihSiUDK6NmBjfyHetN+Gf/pF4Jn2K3iil0lDy51QQ+TeijGDJa4Yw9BuKcP/aUcR2R8JAkr5Q6dpPPmlYQ26HBQI5NfBqd4SOisV/E1DyFD4wC65HVY9ElgWxoNn1OL/HAZx0W0Yr2aWoT/wAXSLZbi3qwShgga09jOpxDtEX3DKLvoAgYT9DXhsohxiDyPae8R41nEl+xTTh5pLETThhmpRB962s6GKUzIXOo0MYEmLCivq+uGonaDxG5kzCUg7FOgDrfMoXlO00lTOlzuUEFoL4GXsQ3z9KFxHxrBHuBiBQXncGDFXkSKQ92OofAwG2wYOpIgftkbjzQ6YREZklvwW/cGHsEjaRkFKZ6wl9IpJyCYbkNW0FZcCLDjPKQJSlhbU421XBg79Uvka0nvuhaZpOTaY9tDHSPrxmJ8RHVoT3K15GO0Zo+PO2dGFaOxcBYHMgKfETIUwAlJW9pcitIlRP71k/hm+1gZhdzxzfdmW0taHX1Q7YIsboyQibW+/Px5MZcbmw58y8UPhsnTwbER4RJNN0z6tqyUUpNQst0aAkvGF28R/FMJRAbUvoKquFuZY0r3+BWs3ExSl47A1roGJxwOf9zqKK3ehznYMMnM1nl/G/G4yhtlWBMKo09HPT0/mo07hBI/oCnovLzXZ4LHsPizsehKuoY1I0yTT2LNz8nuclkZjUaUGSa8xUPWn9r9zBn4CKT9yLXv7h/DAs3/BpQPTi/f3Pj8EW6kYP9u+Bqdf3ox7dizD2rJQ7MpKRIOiA58sO0IHP9Ke7A6iOxBEieGW7QXFqBgOIxKUeKWj1mkYRpMV1tSWw9GUj0abBLi2vYAOeRsmxVMUpJAqDCUTwNeeFdiaF4vQ9sXI8c2AwPIwFrT3oVz7K/jpGWlx/komaHnT68/0X7LDqMwWYszTBZ9+y+yYvmh/DPlmCsRN9cFBWkN3qq4PJeFvNhH4ZoRJHSIggfgxOPgwuaXafiusiLHGP85mY2d5ExotIhDz/7V33/FRFO8fwD+pl957BUJJgNCLEMCIgCAdaYpUC1V6k6IgiiKoCF+6BUGqglJUQKSISE8oIaGkNxKSkHqpl+T3mllzv4AYUE+Fy2f+0Vdub2/nvcPu7DPPzHZRggCjjBrjqSwLnG3cFHbFeaidfBlxNn447eiPxkmRWFzrC7ldRSClX1QITLNv45pfffjkZaDR2Q2It7FE+6LOqFmkwQdeVnA3UePtEym48IwGYU4O2JcfpO0cpdXfi6SabrAwS0dcmRMCcmIw1E1ZV2bp5Wgcrf0MRkQ0hGm+KVTWt5Gca4fWnjEoyg1DFwflYWpsgRMG31AuwKKuoojsoYFnm2rTCmODruC2NRAY4okitRHq24fiwyeURQxfaqp0nDfE9MQE00PicQWRO+8g2j0HZ12fxLjDz8Fh3IewiPVHSoolPGyKoCm/icIGRfLhPuuIE16oa4jn0jrL/QyNCJHTgcSCl3UMk2RWjuhkVzx4VjzAfN2yDN+bF+HD7DvyYWh33FO4UtwFPSzOwczlBoxRgnpnleDXXsu+iPG9gos+iejwSxmSa9SFnacBVBpTFBmp4ecQDlPbQhhlmKKozBQ7v1fW7HCofxxu5YVIcjZC9s9KhoKY3hEd3R3xReUod89G4W1HRF6xR7v0Xfi2ZRBeKo9DSpEHDGzFaGsZrOJzYGKsRmR+E6hsEoGGsShqdge46IBuqcpbaFZEDMKwqPfl/2/ym4mJAUpGhkEDZUrXwiNX0Cw1FRqDtjjzRDv4lSWheWIimnVQ1o3YeqqZDKaUlpji6bQA2GockGt9Fl6e2+RN88viZjA0LUbtNFcEpXWVN7OV18vRpKAAiW7GSHBIwWJjZQR0UnoftA/vgzgH5cHI944XjtW7iSYGhXB0SUe6pSmumNjCMCIPTQwiYOJiCYduyqt/Qz/NxQWXp9AzzQl1/Q9CnW+HLv4m2LftMG54BSPVsx0MNCVYUvcCJsT7Qm1uhQTDJHip83DbFPjeTYPOEYV49ZiylsCh50Jxy9oGJbnXYRvrKv8W53YEQQkpuGWrwraGtVB+VVkbYknuIJgV5KOlsTLCf9S0BeqF1Id84LnQHAn26fDOVLIYwr2uoJNmN9rWjdFmMwV3dEVLtQO2tHoCzbIS0PKgJY4F3ET3hBhcS/5tkdR6nyCzLFA+1Iq30wS7OyE/fR28LONwOLMR1vq6QWXgiqN+7WR7bR1VhHxzYELZRngXpctOf45/KELc3KEqKMMJTx8Ylhtg9Ldz4ZOtRtdJylxwMQreKsZV2q/sdhXlXjaItFQ6S+6FmWiYdh0XNGrEOmYgL/In+fcfzi6To9uGLnHIrRsOQ40Rhp6LRk5te+z3r42bKINpgjFyLFPhpLGT3+lm+wO+s28DFJjAMPW3/Hwxz940Dxfy7KXbwadOYqTFzzILz7ywDFkae8TkOcAy5hoy/JvA3MELGmNDBNVKk8Gtmpll8Er3QZGRIUbbqKHSGMsph0WRvjAboEybSfs6BIb1h2H3JeX1jP7WF+GccQ5GDvYwLvGGebEKB73L0MA9HaVNMuTDc52bmejm1QI9og9gSbtGaJDsIUfr8hrZItTWG3N/3oz82+bIL+2ISfUg1zH4xfRnbMuIwOk6uViVYooCcyOcNA+EY7wHbmebwrJIhekNlUDi2htN4JQyWRtI2bV2OzYGncYLxfHy8wbWvjDL9oDa7hYWOmRgz25lvv02DwuM61yMqJ+VUc6GPV5B4IWvEOBWA/G2tghIKoC33S2Ym6jhk5INn7QMpBep0MA6BVaqDITm1UdquTkMjZWsp6tpRjC0zYexQQbW+VnBMdMSo7PM4G6eAVdVNApVSlDoTtxVdLx+B/vquWB8k3h8uFWZsvBN8/PINtPgu0Zh2pFk8fcXY06hW0Y+zPIN0eZSLI4/2QC2KgfEGWRhveom2sdrYKNyh6d5Gsry7FB6pg8a1N0ES5soZCWUYqWvBrlGgeiangFjjRcCE7/Dcbv+8EjrJoM3IoMzPr8GfEKVh+55PvVgZPozikwz8J69ktWzPncS4mvegWFONhbVuQN3lbI2mRjVFNd48V+Ly44yAOB1x0cbSEnNqYOLhv5omXMLl+wdUHilC87al8hgR+z5RPmQONI6GBt9NLj8rZXMUFkf0A4/qYoQ65qItXHJ8DLKwt6sJ3HIWaW9r6lNi3HD4xIm2B+AQbkhtmYChrlDUWiWgP1NldFhUcRDeMV6Gk2z4xGfcRRhnoZwybVGcERtGBukYfjFXxFu87I87pvNQrGyQ31tIEVkwK1rHIYa2UpGUKaDIQakn8cBCzPM9i/DtB/rySCeCOA0L5iC159uDttCZXBm/7YfsaPDCDTKsMVtG2OUXFX2EemShNq3PWXfqYtJGhwsc5HQP1UGUk7dDkB6gSfqRtnBLtEZJnkW2kDK7DYXkXXnNopvF+Fz9+twSOuPwFzAW1OIr+rcQvD5p7TT0ioHUqw0hWh6KhJDo5bC19ADx58MRpzKEofVEWh+RLleZwYeQqJDIdYkZqFGfg72uLtgiXcmbpmV4tNUaxiYlUJ9vRZ8E1yQZp2NEJNCNIt5EqY1w1DS7DzKC42wJ9UJjlChXslVxBj4Ic7IFcEmEXA0yMW1Ug+YJjqhjUM0LHIdkZ9VC1lqb2xtfE0GUUTZnSNy/4DYIw5IsXTE81FrMOHZQHkO62SbIShbg1SDAmzduhOHG49Ef+8jiCuogbNONeFom4PyTC+cu9YE7jZ3kK+Jk4GWolJzRMEepeXFSC+LgUsxUDvUHF5FZ3HLSql7q+7fIH/rWaTY1EayW0uUa/KxroOSETv/yHlcNS1GcYkajW4ZolVgEZLzS+FuaYxY69v4JEeFHBNPdA9zRf3EQBksLrA4iY7N82BokI0yA2tc+15Z0DepQRSSvQrgkJGAWRZKP2FbyGok+SXAPtMGximOONvtOiYUliMgozmi7M+gdm0ls3jJTkP0LT2JOx7+2O7qg+X+SjbS+ykWaNgiVj783tz0MhzzbGQQVAx+ikCKT44aP9Twx/AiSxmI6ld3mmJ94wNtIKUiU2t9142wTwtEsNpJZnBVFDE44Z6fC/fIfHzqm4tYpwzt9alH3AVscAvHyyca4IU75bAwSkGarREWtm8ppyn2vX0BT4aaIcR4o+znx9ZqidZ5XrArLUEdz8NyoHNL4hAEdPzxrkBKtH1zub6eU1E33CovxLUD7dClpDMSfJW1ZRr2Vt46Fny9LlyyLdEKlzHN8jhKNOYIyWsKN1WyvLZ8nPkivnU2xfDcK7AyMkBEmQ+Cso3hmntHfl9MdZxi1A0/2lgjbL9yvxCBFMf64cgz8EFyQgCi1UXyOeNrV0NEF1mgwNgBbwcoAw6fpNnAoDwZYR5+MnNVZl1iO559QRkIHHP+Gta28IcIpEwPM0cf30syEByb2g57YIM5zyrZ1hWBlAjvb+Fs6oOGdhdRoDGF220TGVyuHEi5edofJfZ5+N6mBVY2aIyKfvWBfkYob5KGossemO3wHHJUpjh18l28a+2MdfVU8r7bwcATCXZWmHnzGMJKVehdHCMD8aIcMO6G8qejtIGUwWdLYFbcHs2LTRHoHQuL0ly45F5BooEb8kxUeGaU0tdm+WcE4hJTMX7OcgzsGYxhA+4Oah4/dQkzFq3BphVz4F/77vUY/87RMJDyAD1xUibMWY59m97Vbrl647cQmSoTRvXF/gmTsSfAAeaF9uiUkAYDTRnOlQ2BoeMJ5Bo5wjjAHFe8aqBZwg0cU11CsYEZDm1VFnUTRQQlDlmPwNiMKfjFKxCb6wyHreYW3BxN5WizOi8Cn9UzQrMENZoenSS/U8cP6HphMnwLLmGL70fwLtmHGAcrLO7ggRYJRlhsWYh8cxM8590Hky9eQM04a/hbKp3g62E9UKtwI7Y29ENr81toZRaOcyV2CM8rRv1IJX1NPIjlWcUg38hFXmwn/robDcScwt/KIathsHA4iJN1GyHoUhbiAxrg7eDB2tF4r2w1BobFo2VCPgJaK6OGn5v4yIyUftEhCAq9DuvcA0CBD9qlnUOBoQXeCBoHh+wGKDC5hKaqIoyMuCNHJ1e0rY0kGxtYpSYg3KQQ876LQqb5CBmMEjc+O81F9LGqJ3/D/NwlOOSokWbQCWWlDaAOyEOOVRlsYzWwy0lAc/trKC8txieJc7Vrmoi5zm7u7yLK1hbWpVm44mmMyT+bwCh3iraT557ihmMe02HhUoocqzAMxjkRO0FSgvJ2hfQ8c5wvfh7m5Xk40+YH7GngjE+z7GALU3hlmSFBrcECe6CtkTtu2dig57lD8Eg6jsPtx0FtYozWCelonZiPeAdDWN2+gjP+bZDjrILt7WJYXa+FphaXkWllgDanVsnfxYQfDgAAIABJREFU+85/CbzUNsjHZ7htXArH0iSUWgYhysYHP7kloV14Y9RJDZLnMbzGEWzckiTb2BPm+6CyKMDE4Lq4YK9B5pItuGbXALctXPFKn7q4/VvKs/j7ifp+CDecK+v5YvA5hMXboOxUC1io0hFmk4AhV5W0+smtJ0BtkYWvWylvl/n4KwOc9G2CXItsjDqhLBhc1ncL7D3SkJ3sgP4ZR5T2cKkD+iYoIxnRqsZo1lkJzFUEUs5/FAa/4kvYYTcLjmXKAqaOqmnoOEoZ0X1vZz2ofJKwp645jjmkKZ0f0zYYdzFbLo54Mrcb4ry2wtvUGPUc3JFsWIw15tfRIKY7PDOdcMnrAs7ViUaOmTFWf3caH7ZqCc8MY9RP8YHa1A5XPWPwUtghnHX1RJhTPTgXmMA1Oxu2kV1g5JSCVrapKIMBLkfWgl9RKLL83PCq9w4kqH1xKeo68u88gzhnd9TM6Kod7a3oHIh0YI/sEsw/dh1Bt6KwxvEjJBv7wbs8CsXOhTAqLkXzjIM4EpAlH6C7XwF6/uqFPOdwTO+nZCa0TsjEGW97vPmtEQaaKkGCQ7nN5UPN0q6H8UL4FbhmGMFYrbwi8lDj/RgZcxi29k/ippUFzjkXID4nDlbqfjCtkwqzwgJsdbkgA8AiCFQnWJl65O/ujrlJLmiZYQt1kQXm1kzElshoeBrnIja2FMH9fTEkyQLjSuPkiOTqwiZ4/kxblHqfRU6Niyi45o1zvkDv891koGr6IGWa1tUPTuOEVX/sHa5MGRj7zXycsJ8Fi0I3bGx3GgFWDWVq9ZDL3+CUeTR8cvJkEEmUYycLgDI7nE15CoZlQFF5NMwNaiLdJgWBprGwLs1EUOg2ue0Jy35or96Ngf0nolVKXXSOM8I55yTcDLTBPt9GGJ/4E16KDEVooROOm1zFLz5ueCEsCuOfVRa8Exbt4lPl/2causC+TMkcfC8oEFsDa0mv2cfikGVVgLOu3rjhYoY8lRF6X3LCi7/2gb/7dpkF4H19Hc52noGdYUogZXb3n7D3fwXwKInCzx5T4X3HBwV1tsChQS6uWXjDPz8BDZNSUKOFF9Z9FYtjAWWy/qLtjEitD7XKHl3P70ft6GvymIZMWo9QWx+MPrcT6deGoqAQGF3rA7ib5uCXxL4wTm2Ca67JOFn3Bl4qCYd9fhkiI91QZGkpAwOiiGCyd7YaQ0LTkVEegDb2Jahj7IifrNRYUCMX5euVNQs+tS7Fy8+rEHYxC2HmXjjo4AvDH9pggNs+eGs0OFWej/QatohxsEf389+jffivuKpqi5v+ATA0sIHrrSsozrNBkZHyVhyN5Qp0vfUNCgwsMWBwW/kAOOtHc7Qq0cDdMh3PdVEe3Nad2AhHtztITXVDxE0XlJi7Q60Clj4bArHmi1d2ASYlWaBGUTHm1LNFp6sh8t+PPHdLtmBlr6k4VdMfzjnJ2ORyE/3PGqBzXAxGD6ghHyzGH+kg26h3uvLmBv+yS/DJv4Tz5s/gnEVX5R7t44oQp2ZwvzUGdY2TcdkmGj90UqbrTF2/S7vdpaDBQLkFFrj44li9G/KBQNRLTBkQgcQRhw0Q7ZwL9yQfJKIApppyGURMc9uFmkZxKCkGUqz94apxR5pRAs7YhsGhNEU+VCV4NIKLphQT23oi2bwMqy/XQn6ZBUpLSvCBfzJqZsZj1a4kef0Ux76jrTG8EodAVVqKMZFDkW1mgiF9g+XxiOvH5Oub5PFXlFe79ECUkzGaxbZDM40Tco1ykKY+B0PrK8gxM5IPOKI/0vanUXCzvYp6KU8gucYvqG97E4kaL0Q6q1FSmo8nTuZh/EQlICvW56h/OxtZZiok25hh1kF3tIjuLq+Nk64r0ybEsbYoOCjbytH2jWBW0xgWeQZYbWyGLhEF+LleIi54Wcp/D8/6Gslg7pn0BmjtdFUGBjYmjpbZjd82+xkXvfO02T/e6QkoKKmDjtnvY13rUm1QUvxmm+RwPHNu+l2BlIyIpghtFgLPVE8sb3QRK3/cgZpZbtju8jSMjNKRmdcJT/glyWN2uroZu5uY44qLAwLScvBJ89ryXL975DzWtPBHtI09lh45BetCFTJNPXDetAcyHdzQuCwXg2quRqLaF4PdVPJcvL+vGDualsg6VhRxXwtKt8CSZjboFjIA9W7VkQHyAqtjmNtDuWdOPBmFC97WMgBVUZ5+oQ9CvC3lvwvv7AKMOx8uB8G2NJgF14SuiHFKhLv392hvnIwwtQ2CTu+T//5+bjwEg7wOSk9x7RF1CbidIwPhdUP7wdToNkYFnIPKoAj+O76V18Qv6nTFwj6laJ6ohl+yMhBSEeS5tDIMJRrArHcjuNqqkZJvjbzIXBzUZOCORREapJnhFl5FsSoRMy7PxK7GU+Bc6o1IyyyU3TFApgVwsUY4+kao0Sz1Ok77lGNLwzqwKypA7dveSDFpKqeBDDjbFJ3crqBRQQEuWhmi9tF1yDR2xSGrkRiROV8ek/0s5S2Lok4Tkl3RJbdAZjxN8E7GKR8ntIlPRxmM8PzVGAy/HIH/1RqLk20y4VamwoSUNDS3VNrZxBqttVnPLQ5ayEDgMafx6JnmLLO6xVpEokRHl8vMCfF77eJTcMajBsw9esr7WrfrR3HdMATB4W3QJOYpnKoVhoOB8ViTEwkjCzWOpNfFAafrmPBrAgwzWuFws1soKe2F7lcaItMyGzmWUTDKyId7rxg4u6ehMMYbISFt0cbmNBwNCxDtaQjD2KbQRAegrOxzNKyp9BHec4yHZ0E6Gqekw6o8Ewb2/ujuHYsEdS0MdPHD8iQ1aiEDY318scs7X97/RDnq1hYH69XGqmO1YGmeDrXTZfyaUxOJ9mcw5rYyGNmoT57sh8WYKv/mRdZ8cEQdpNmG40zdMJz3tMT+DNFrMkD+zldk/9SmNBINb9nAoAxyYO6LQGfcNvHBmqM75T7Es0ZF30oEj0SG5i/1fsGJOsraY2/tNcQ31q/B0PEXJNX9Ed1vJsIkaQDy2lqgrMQUwXaJaOYQLjO9V/5qC6NiV5gX+sE5pybyWhxHtgqokRaOhEAvXDd3QbtTx/FM6A+Y7n4UfTQz8UvdQjirjXDcswnM8xuifrKHrM9Q1SU0tbwBU+NCLFJ1gYuRKTIMgO8Mb6JziJu8jhUbmCPGtAE8CtKxN8AOkc6maJGajDWjlTeZ/hMlNr4cRf//Zup/4ifuu88avgZQKRM2/tNyJjQC7yzfjNo1vdCkgd9dgZSNOw7g6K+hKCgskuucMpDyL56q2+lZGDRmgZzaU1GWrNoGJwdbvPS8Mv2DhQIUoAAFKEABClCAAhSgAAUoQIHqIcCMlAec5/LycgT1moAD25bCxkqZizpm1ocY0CMYT7dXUpNZKEABClCAAhSgAAUoQAEKUIACFKgeAgykPMR5fmPpZ3C0t8Vro5S39kyY+zF+2PI+LC3MHuLb3IQCFKAABShAAQpQgAIUoAAFKEABfRFgIOUhzmROXj7mLN6AkLAbsLGyxPwpwxDUsuFDfJObUIACFKAABR5PgVdnLMPLL/RAq6bKPHgWClCAAhSgAAUoQAFFoFoEUp7qPxnb1rwBN2cHnZz3q9djId7ccyM6AeZmKowY1A0v9H1a7jszOxevL16PyxHRcLCzkYvaNAtUFqP7/qczWPflXmRl58HBzhpzJr6Ilk38UaIpxfrNe/HNDyegKS1DnZpeeGvmKLi76OZ4dVLparyTg8fOYeqCVVgybzR6dFIWoawoH3+yC+u/3CcXI67l4/6XlR7UBkTbWPnZbhQXa9CpfXMZzDMyMkT6nWx8sHYnTp67AmNjI7Rv3QjzJg+DibERqmqnf/lA+UWdCojrRbver6F/jyexcLqysn5FOXX+Kl6evhRvTBmGQb2VhXv/TuF16+/o6c9345NS8eqMD3Bgq/LWrKrKHwVS2JYeJFc9PxdToVd8ulv2ZdT5hfBwc8SMsYPRrlWgTkDY7nTC+FjupOJe+f78Mej+9BPaOvx0IgQ//XIBi19/5W/X60H9sCvXYjBvySdIy8iCv5+P7BM6O9pV2Q+rqo/2tw+YO6AABf5zAQZS/sIpEJ2EGt5uaNqwjrygDhy9ABuWzkDtmp6Y9c46eLo5YcJIZRrQ1IWrsX/TuzBTmWLtpr3o1aUtPNyccO7iNUxbuBrHd3+MnNx8bN9zBEP6dYKVpTlWf7EHkTGJ+HDB+L9wdPyKrgVEIEUESxztbbB+6XTt7kWnsefwOTA0NMTytyb8rUBKdo76D9tAbEIKRk1dgi9XzoWzkz1mvb0OjerXwoiBXXHxaiTE5z06t0FZaRlem7cCwW2b4Pk+T8vO7B+1U10bcX9/TUB0Dl+c8I586Di4bSlUpsrrnUWZvXg9omKT0b97B50EUnjd+mvnSN++pYtACtuSvrUK3dRHDBZt3nUIq9+dDFtrK0TFJcHK0kJng0Jsd7o5T4/jXsS9ss/IeXIAae/GxbKvLIouAylV9cNKS8vw7Iuz5EBV+9aB+HLXjzh14SpWLZ5cZT+sqj7a43geeMwUoMDdAtUukHI5PAqLV3yJzOw8+QAsskLERVGUTgOnYuiAZ3DqfBjS7+SgacPamDtp6APbzGtzP0bvru3QMagZ2vYaL9/wY26mvAtKPNg+92wH+XB7b2ndfSwObV8GW+v/f92d2OZaZLzMavnms7cf+Nvc4J8XEIEU8Vqtn09fwrbV8+UIhChnQ6/J4EdcYgqWvjFWBlKqal89hr2OKa8MwDsrNqNV0wC8N+eP3ydfuQ18uu175OblY/Ir/eXvis/mv/8Zvlq/4HeV3/TVQSTeSsecicqr/iqXinYqMlpYHg0B0TkcPuk91PPzwtPtmqPrU63kgeUXFOG5l9+QGUZ+vu7aQIq4dv18+jI0Gg0a1ffDknlj8NG6nbC2tsDYYb3ld0WHr+OAKdix7s0qs/B43Xo02sC/fRSVAylFxSUI6jUe5w+s1x6GCNR2bNcMzwS3xMNO7WFb+rfP4qP5e59s/Q6ZWbmYMW7w7w4wv6AQb320CZeuRsqBpYqMXLHhM8/PQM/ObXE5Igp3snJl23tlSI8HVpLt7oFEerOBuFeOmfkhmjWqi9LSUtl+RLk3kBITfwtvffQFEpLTYGVhjuljB8mMqN4j5+LtmS8hMKCW/J7IbhIDn2Kg849K5X7YlYhovLtyC7auVl6nXFZWjif7TcT3Xy6B9W8voqjYT1X9sKo+05uTxYpQoBoJVLtAinidcWFREXw8XXHizGUsXbMDeze+I095k84vywVlxWuNxcPIC+MWyQ5Bi8bKe+HvV0pKNOj24ixsXqFkJrz42jv4cfsy7aZiCpCdrRVGDb77VclRccmYMGe5XLT23iIezsNvxMppQSz/vYAIpJwOCZc3ZTEla+TgbvKg5i35FF2ebIEP1u3ERwuVjJSq2lerZ8fIB2MxhaNiNOWPale5DYjFjpsF1kWfru3k5uLhp23P8bhw8P8ffir2M3XBanQMaiozVCqXyu3U3dXxv0flEUgB0Tkc+tpizBr/PLZ+8xPWvDdF/n3PwZO4GZOIoqJi1K7hqQ2khIbd1HYER0x6D0P7d0FNH3dMefN/+G7ze/K7oq2u3vgtNq2Yw+sW29nvBHQdSOE9kI2sQiA6/hZGTVmCeZOHyoElQ0MDLY4IolhZmGHq6IEQ/Z+Xp70vr1kW5may7zV9zCC8+FxnFBYVyyw98QD8RLP6vIaxeWnvlSMmvycHs3qPnIcVi15DQB3fuwIpot8uAiaiLYnBS5GtO3LKe9i6+g3sO3QS2blqOdVMlI/WfwUzM1PtAMT9mCv3w/b/eEpmoLwz+2XtpoPHviUHWwP9a9719T/qh4mNqvqMp5oCFHj8BKpdIOWuh0tNqXwgPffDWvlncTM/8tVH8mFZlIUffoGG9Wriue4d/vDMrvh0l0zLf/21IYhLTJXBEbFeRkURDzQicj1hVF/t3zSlpXhl+lK82K/L716hnJqWKS/8nyybIacAsfz3AjKQcuEqhvTrjBmL1shMoYLCYvR7aT72bVqMfi+9cd+pPWK+7b3ta8/n78DXy7XKSt3bBmYuWitHiCuyFcSXGwSPQNjRz2Fg8P8d1V/Ph2HFJ7vw5ap5MDYyuus3KrfT/16UR1AhUDG1R6Qqdx48DV+tXyinkL009X3Mfu0F7NhzFHVq/n8gpbLc8g1fyyCtmOIlslcWzhgpr1cLlm1E/bq+GNjrKV632NR+J6DrQArvgWxklQVuRCfK9bwiY5LkoMPAnsHy4yd6jJPTFysycIdPehdjh/eWwRLR9zr29XJ5PRNl89eHZEbB/TIrK36L7a56tbuKe6UIvokslA1b92Prqvk4ejJUu0aKGIAUA1y7P12kxRFZnF7uzngqqClGTX1fO9DZbchMrF0y7Q/7Y/f2w77afwwRN+PlmmUVRQR2RBtu3TRA+7eq+mFVfVa9ziZrSwH9Eah2gRQxRWPL7h9RWFgsz2LIlRvatGZxMw89tEH7cPr28s1/+BAjvrtjzxH8eOIC1rw7BSYmxjIbYdCYBXJqT0VZsmobnBxsZZaLKCKoMvuddTIjpnJwRXwmFqF9adr7csSGbwV6dP6RVQRS3pw2Qj6wihEJ0Um8eiNWZhL0GjFXG0j5M+3rfjW8Xxt4c9nnCPSvJRckFSVPXYAOfSci5NAG7S7EImhzFq/H+mUzfjcf/d52+ujI8kgqdw7FtcLD1RGdn2yBifNWYOe6Bah8DRLBu3Wb9yLsegwMDQwQn3Qbg3o9JR9WxHztxFtpcrTt6YFT8e1nb2sfSu5V5nWrere7BwVSROD26fbNH2pqD9tS9W5LVdU+KSUd0xasQpfglhjc+2m07DZartlVUcQAlJieIbI6Rd/r/IF12gGA/YdPyQfkD94cd9+fYLurfu2u8r1S1H7CnI/R4YlGsn99+ISy2OzRX0Nlv1wESCqKnG6WnSvvjRUZJGIxfpHpK+6xD9sPE23yxOnLcoHZiiL6gwumjdBmiVbVD6vqs+p3NlljCuiPQLUKpJirVBBR6C2r5sl0eDFnVzyQVswPFzfziz9+oj27VQVSROr91/uPY937U2Vqqihi8dGgXhNwYNtS2Pw2Z3LMrA8xoEewzDwRn4uHYrH97Akv3NWKxBoYr8xYhpGDuuKZYGWdBJZHQ6ByIOWLrw4i9fYd3IxJwrQxA+Ff20cbSHG0s/lT7eve2v1RG9i48wDS0rO0887FDfnNpZ9pR12uRyVgxltrsHzRa79b8PZ+7fTRUOVRCIHKncOIm3Fy7RuxPoBYQ0BM26l8DVq6ZrtcO2XupBflA8fS1dtlJ1IEUsR+Bo1eKKeNbfr6kHaK0L3KvG6x3VUOpIjsyNbPjr1rmqB4U5S4Zz1ojRS2JbalBwmIzIEde4/IRdpFRorI+LUwV/3ua6LvJaY5V7ypcMOW/UjLyL5vRgrb3YPU9fPzewMpt1Iz5BSwSa88h9MXwmUg5d6+kZCoyEgZNuAZmekkXhAh3nBoY20pszkfth8msl3eXLZRuzaduHaKN+4d3LoUtjaWqKofVtVn+nm2WCsKVB+BahVI0WhKMXjMW3KBV3EzF4t4rt20B+d+WCfP+MMGUg4eO4svdx3G2iVTYWmhBFEqiohyO9rbyrVWxFt7Jsz9WHYQxHaLV2wR4RbtIlkV3xEBndEzP5Rv7ak8faP6NMNHu6aVAyniVXZ9R82Di5M9dn3yljzwiowUUxPjP9W+Kte6qjYgRvaGT1ws17xQ3tqzFnVqecm5vWJO+tQ3V+GDBePg5+txF2RV7fTRFq8+R3dv51C0pZxctWxbYopP5UDK64s3yDeDiew2kf02fNJiDOypZKSIIha2FsG4/t2f/N0aOeJzXreqT7uqqqb3vrWn06BpWLdkKvxqeMqspl7D5+DdOa9WGUhhW2Jbup+AWMDT1dleBnjFPU1Mj3Z3cZQLpYs1UsRbyUTGrcgIEBl1InAisnmbdnkFg3t3xMxxg+Vis2J9OjFV8d41Utjuqm+7u/deKSQ27jgAMeWmcX0/GUgRGd89hs3GtNGD5OCldo2UVfMh1oYT/TeR9S0GIla/O0W21Yfth4l99xz+upzGLxavFVmgR34JwWcfzaqyH1ZVH636nk3WnAL6I1CtAiluzg5yFPf7I6fhYGeDAT2DsXPvUe3I/sMGUp7sNwkZmTmotDwFgloGysBKTl4+5izegJCwG7CxssT8KcPkNB1xQe8+dPZdi6+JZjT5lQFyxe+FH2z83Wdb/jdPvpmD5b8VqBxIEUcyeuYHaNO8AUYMUkYzKk/t+TPtq3Ktdu47VmUbEK+V/GDtDhQUFckFaxfNGAVTUxO5Zov4rPKifqKzKrKsqmqn/60of71C4N7OoUhDFtMNRSdPlMqBFLH2gDjfIiAs5ny3bhYAAxhoAymiUzdj0Vqc+HaFNkuusjSvW2x3QuDeQMrxU5cg1psQa1c4OtjA1MQEHZ5oXGUghW2Jbel+Alt2H8an276T00/F4JF4E5lYsF/ck0RgRdwfxVvHiktK5DSfde9Pl4NaIltFvKXn2x9OoKCwSC6ufb+39rDdVd92d79AisgKEZmY9fy8ZSBFFPHWHjGgKYLC4hXcInNY9Jkqilh/THzvi49f/x3mg/phIrNkzrsbILJhavl64L25r8p7cVX9sKo+q75nkzWngP4IVItAirj5igVCKxaR1Z/Tx5pQgAIUUAR+OHIGP/0SgmVvjCUJBf5QQDxoTJq/Enu/WEwlCjwSAiIjRaxPx0IBClCAAhR4nAT0OpBSXFyCyNgkjJ39EY7v/vhxOi88VgpQgAIPLSBeGSpeo/z6ay/IV2WzUOBeAfFq0HKUY9s3PyE0LBIfLrj/Qp6Uo8C/LXBvNvC//fv8PQpQgAIUoMBfEdDrQIqYciGCKWJO45NtGv8VH36HAhSgwCMtINLlDxw9K6cqjhnW65E+Vh7cfycgMlHEK2c93Z2xZO6r8s1xLBR4FAQYSHkUzgKPgQIUoAAF/qyAXgdS/iwGt6cABShAAQpQgAIUoAAFKEABClCAAlUJMJDC9kEBClCAAhSgAAUoQAEKUIACFKAABR5SgIGUh4TiZhSgAAUoQAEKUIACFKAABShAAQpQgIEUtgEKUIACFKAABShAAQpQgAIUoAAFKPCQAgykPCQUN6MABShAAQpQgAIUoAAFKEABClCAAgyksA1QgAIUoAAFKEABClCAAhSgAAUoQIGHFGAg5SGhuBkFKEABClCAAhSgAAUoQAEKUIACFGAghW2AAhSgAAUoQAEKUIACFKAABShAAQo8pAADKQ8Jxc0oQAEKUIACFKAABShAAQpQgAIUoAADKWwDFKAABShAAQpQgAIUoAAFKEABClDgIQUYSHlIKG5GAQpQgAIUoAAFKEABClCAAhSgAAUYSGEboAAFKEABClCAAhSgAAUoQAEKUIACDynAQMpDQnEzClCAAhSgAAUoQAEKUIACFKAABSjAQArbAAUoQAEKUIACFKAABShAAQpQgAIUeEgBBlIeEoqbUYACFKAABSjwYAFNaSkaP/0SDm1fBk83pwd/gVtQgAIUoAAFKECBx0yAgZTH7ITxcClAAQpQgAL/lIA6vxA9hs3GV+sXwsnB9i/9DAMpf4mNX6IABShAAQpQ4DESYCDlMTpZPFQKUIACFKDAPylQVlaO9V/uw0vPPwsTE+O/9FMMpPwlNn6JAhSgAAUoQIHHSICBlMfoZPFQKUABClCAAv+kQH5BIVp2G4Pjuz+WGSlLV2+HSmWCpJR0XAyLRGlpKVo1DcAbU4fDTGUqD+VmTCIWLNuIq9dj4ObiiMmv9MeMRWtwYOtS7dSekCs3sXjFl4iKS4aPp4vc5qm2TXH6QjimLliFvV8s1mbATJy/As4Odpg/Zdg/WVXumwIUoAAFKEABCvxlAQZS/jIdv0gBClCAAhTQL4H7BVK++OogVrw9ER2DmqKgsBijpi5Bp/bNZdZKaWkZegx7He1bB2L8iL7IysnD/Pc/hQicHNymBFIys3PRc9gcvDVzFNo0b4CLYTcxcf5KbFs9H7VremLhh18gOycPHy4Yj0PHz2PZmu349vO3YWFupl+4rA0FKEABClCAAnojwECK3pxKVoQCFKAABSjw9wTuF0i5HBGNzSvnaHf86bbvZfaJCHycOn9VZpSIDBZTUxO5TWjYTbw44R3tYrPrNu9D4q00LJo5SruPKW/+D7VreGL8yL4Qv9ln5DyMG9EHyzd8jSXzRqN104C/VxF+mwIUoAAFKEABCvyDAgyk/IO43DUFKEABClDgcRK4XyBFZJm8M/tlbTW27D6M46cuYv3S6dix5wj2HvoVW1bN036enatG257jtYGUmYvW4sCxszA0NNRuU15Wjt5dg/DWDCW4ciY0AqOmLMGg3h3xBqf0PE5NhsdKAQpQgAIUqJYCDKRUy9POSlOAAhSgAAV+L3C/QIr425vTRtw3kLJ9zxF8d/gUNq+cq/08v6AILbuN1gZSpi1cDXdXR0wfM+gPyb/afwzvrtgi119Zu2QqTw0FKEABClCAAhR4pAUYSHmkTw8PjgIUoAAFKPDvCfzZQMrJc2GY9fY6HN21HCbGRvJAr0XG47mX39AGUlZ/sQe/nLmMravn37cit1Iz0O+l+Vj93hS8uWwjRgx8Bv2e7fDvVZq/RAEKUIACFKAABf6kAAMpfxKMm1OAAhSgAAX0VeDPBlLEq467vzgbnTo0x+ihvZCXly+DIb+eD9MGUu5k5aLbkJl4oW8nDO7dEYaGBrgSEY0aPu6o5eOOl6cvRf06vpg6eiAuh0dh9MwP8M3nb8PN2UFfmVkvClCAAhSgAAUecwEGUh7zE8jDpwAFKEABCuhK4M8GUsTvigwU8ead8OuxcHa0xehhvbD+y/3YuHy29vXHInCydM12iIVrReZK3VreeGvGSFy4chNf7DyA3Z+8A7fVAAAEfElEQVQuguq3xWrf+99WRMUmY8Oy6bqqFvdDAQpQgAIUoAAFdCrAQIpOObkzClCAAhSgAAUoQAEKUIACFKAABfRZgIEUfT67rBsFKEABClCAAhSgAAUoQAEKUIACOhVgIEWnnNwZBShAAQpQgAIUoAAFKEABClCAAvoswECKPp9d1o0CFKAABShAAQpQgAIUoAAFKEABnQowkKJTTu6MAhSgAAUoQAEKUIACFKAABShAAX0WYCBFn88u60YBClCAAhSgAAUoQAEKUIACFKCATgUYSNEpJ3dGAQpQgAIUoAAFKEABClCAAhSggD4LMJCiz2eXdaMABShAAQpQgAIUoAAFKEABClBApwIMpOiUkzujAAUoQAEKUIACFKAABShAAQpQQJ8FGEjR57PLulGAAhSgAAUoQAEKUIACFKAABSigUwEGUnTKyZ1RgAIUoAAFKEABClCAAhSgAAUooM8CDKTo89ll3ShAAQpQgAIUoAAFKEABClCAAhTQqQADKTrl5M4oQAEKUIACFKAABShAAQpQgAIU0GcBBlL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+   "cell_type": "markdown",
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+   "metadata": {},
+   "source": [
+    "### Shadow Plot\n",
+    "In case you want to represent all the simulations together to show the variability of stochastic profiles generated by RAMP, you may use the shadow plot."
+   ]
+  },
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+   "cell_type": "code",
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",
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+       "                            \n",
+       "var gd = document.getElementById('f13fde2c-d783-49e8-abc1-6728a046762a');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
+       "    x.observe(outputEl, {childList: true});\n",
+       "}}\n",
+       "\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# to have a more visible visualisation, let's only take the first 5 days of the data using the iloc function\n",
+    "\n",
+    "hourly_data.iloc(index=slice(0, 24 * 5)).shadow(\n",
+    "    average=True,  # plotting the average with a bold line and all the other columns as a cloud around it\n",
+    "    engine=\"plotly\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8bc41b50",
+   "metadata": {},
+   "source": [
+    "### General plot function\n",
+    "The Plot object has a function called `plot` that returns a pd.DataFrame.plot function offering some more plotting routines:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "0f766ace",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plotting the yearly consumption of different cases as bar charts\n",
+    "hourly_data.resample(\"1y\", \"sum\").plot(kind=\"bar\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b03d77b6",
+   "metadata": {},
+   "source": [
+    "## Saving the data into a file\n",
+    "\n",
+    "If you want to save the data into a `.csv` or `.xlsx` file, you can use the two save functions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "501aa0bb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# saving as csv\n",
+    "hourly_data.to_csv(\"path and name of csv file.csv\")\n",
+    "\n",
+    "# saving as xslx\n",
+    "hourly_data.to_excel(\"path and name of excel file.xlsx\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "949ee429-878d-4a43-b85e-f5cb16ba1fc3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/notebooks/simple_bulb.ipynb b/docs/notebooks/simple_bulb.ipynb
index 9bde66f6..23d7da02 100644
--- a/docs/notebooks/simple_bulb.ipynb
+++ b/docs/notebooks/simple_bulb.ipynb
@@ -5,7 +5,7 @@
    "id": "208fe9e9",
    "metadata": {},
    "source": [
-    "# Simple Appliances with multiple functioning time"
+    "# Simple Appliances with multiple functioning windows"
    ]
   },
   {
@@ -16,7 +16,7 @@
    "outputs": [],
    "source": [
     "# importing functions\n",
-    "from ramp import User,calc_peak_time_range,yearly_pattern\n",
+    "from ramp import User, UseCase, get_day_type\n",
     "import pandas as pd"
    ]
   },
@@ -36,8 +36,8 @@
    "outputs": [],
    "source": [
     "household = User(\n",
-    "    user_name = \"Household\",\n",
-    "    num_users = 10,\n",
+    "    user_name=\"Household\",\n",
+    "    num_users=10,\n",
     ")"
    ]
   },
@@ -57,17 +57,17 @@
    "outputs": [],
    "source": [
     "indoor_bulb = household.add_appliance(\n",
-    "    name = \"Indoor Light Bulb\",\n",
-    "    number = 6,\n",
-    "    power  = 7,\n",
-    "    num_windows = 2,\n",
-    "    func_time = 120,\n",
-    "    time_fraction_random_variability = 0.2,\n",
-    "    func_cycle = 10,\n",
-    "    window_1 = [1170,1440], # from 19:30 to 24:00\n",
-    "    window_2 = [0,30], # from 24 to 00:30\n",
-    "    random_var_w = 0.35,\n",
-    ")\n"
+    "    name=\"Indoor Light Bulb\",\n",
+    "    number=6,\n",
+    "    power=7,\n",
+    "    num_windows=2,\n",
+    "    func_time=120,\n",
+    "    time_fraction_random_variability=0.2,\n",
+    "    func_cycle=10,\n",
+    "    window_1=[1170, 1440],  # from 19:30 to 24:00\n",
+    "    window_2=[0, 30],  # from 24 to 00:30\n",
+    "    random_var_w=0.35,\n",
+    ")"
    ]
   },
   {
@@ -81,7 +81,7 @@
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:>"
+       "<Axes: >"
       ]
      },
      "execution_count": 4,
@@ -90,34 +90,30 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "# Checking the maximum profile of the appliance and user\n",
     "\n",
-    "max_profile_bulb = pd.DataFrame(indoor_bulb.maximum_profile,columns=[\"appliance\"])\n",
-    "max_profile_user = pd.DataFrame(household.maximum_profile,columns=[\"household\"])\n",
+    "max_profile_bulb = pd.DataFrame(indoor_bulb.maximum_profile, columns=[\"appliance\"])\n",
+    "max_profile_user = pd.DataFrame(household.maximum_profile, columns=[\"household\"])\n",
     "\n",
     "max_profile_bulb.plot()\n",
     "max_profile_user.plot()"
@@ -125,234 +121,181 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d16765c1",
+   "id": "91442f65",
    "metadata": {},
    "source": [
-    "### Defining the peak time range using the calc_peak_time_range"
+    "### Whole year profile functionality"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "8c779916",
+   "id": "0771a33a-70ec-453f-ac2e-fad1f4f30bcf",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235\n",
-      " 1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249\n",
-      " 1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263\n",
-      " 1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277\n",
-      " 1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291\n",
-      " 1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305\n",
-      " 1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319\n",
-      " 1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333\n",
-      " 1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347\n",
-      " 1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361\n",
-      " 1362 1363 1364 1365 1366 1367 1368 1369]\n"
+      "You will simulate 366 day(s) from 2020-01-01 00:00:00 until 2021-01-01 00:00:00\n"
      ]
     }
    ],
    "source": [
-    "peak_time_range = calc_peak_time_range(\n",
-    "    user_list = [household]\n",
-    ")\n",
-    "\n",
-    "print(peak_time_range)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "ae3e5eed",
-   "metadata": {},
-   "source": [
-    "### Defining the yearly patterns\n",
-    "by default the yearly_pattern function returns weekdays (defined by 0) /weekends (defined by 1) division"
+    "whole_year_profile = []\n",
+    "use_case = UseCase(users=[household], date_start=\"2020-01-01\", date_end=\"2020-12-31\")\n",
+    "whole_year_profile = use_case.generate_daily_load_profiles()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "6e08d850",
+   "id": "10d23827-9ea6-4a34-b00c-66f811b024bb",
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0.\n",
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+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "year_behaviour = yearly_pattern()\n",
-    "\n",
-    "print(year_behaviour)"
+    "whole_year_profile = pd.DataFrame(\n",
+    "    whole_year_profile, columns=[\"household\"], index=use_case.datetimeindex\n",
+    ")\n",
+    "whole_year_profile.plot()"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "f39ad72e",
+   "id": "9be2baec-f7a1-4f93-8aa9-1ea0cd3b93fd",
    "metadata": {},
    "source": [
-    "### Generating a profile for the ith day of the year"
+    "### Generating a profile for a single day\n",
+    "provide day_type=0 for weekday and day_type=1 for weekends"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 10,
    "id": "e4ea14ed",
    "metadata": {},
    "outputs": [],
    "source": [
-    "single_profile = household.generate_single_load_profile(\n",
-    "    prof_i = 1, # the day to generate the profile\n",
-    "    peak_time_range = peak_time_range,\n",
-    "    day_type = year_behaviour[1]\n",
-    ")\n"
+    "single_profile = household.generate_single_load_profile(day_type=0)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 11,
    "id": "04545584",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:>"
+       "<Axes: >"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "single_profile = pd.DataFrame(single_profile,columns=[\"household\"])\n",
+    "single_profile = pd.DataFrame(single_profile, columns=[\"household\"])\n",
     "single_profile.plot()"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "91442f65",
+   "id": "1887fa6f-5c30-4bad-9a8b-6b2f26bafd25",
    "metadata": {},
    "source": [
-    "### Whole year profile functionality"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "7c526fd2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "whole_year_profile = []\n",
+    "### Generating aggregated_load_profile for the user category\n",
     "\n",
-    "for i in range(365):\n",
-    "    whole_year_profile.extend(\n",
-    "        household.generate_single_load_profile(\n",
-    "                prof_i = i,\n",
-    "                peak_time_range = peak_time_range,\n",
-    "                day_type = year_behaviour[i]\n",
-    "                \n",
-    "        )\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "id": "465bebb8",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "### Generating aggregated_load_profile for the user category"
+    "Single daily profiles are aggregated for all the users defined within the User class"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "id": "3ed3f527",
    "metadata": {},
    "outputs": [],
    "source": [
-    "aggregated_profile = household.generate_aggregated_load_profile(\n",
-    "    prof_i=1,\n",
-    "    peak_time_range=peak_time_range,\n",
-    "    day_type=year_behaviour[1]\n",
-    ")"
+    "aggregated_profile = household.generate_aggregated_load_profile()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "id": "9bb8f29c",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:>"
+       "<Axes: >"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "aggregated_profile = pd.DataFrame(aggregated_profile,columns = [\"household\"])\n",
+    "aggregated_profile = pd.DataFrame(aggregated_profile, columns=[\"household\"])\n",
     "aggregated_profile.plot()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "130f4d0e-15cd-44b0-9cde-5a95a6431405",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -366,7 +309,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/thermal_app.ipynb b/docs/notebooks/thermal_app.ipynb
index 75269467..6c59948e 100644
--- a/docs/notebooks/thermal_app.ipynb
+++ b/docs/notebooks/thermal_app.ipynb
@@ -9,7 +9,10 @@
     "\n",
     "This example input file represents a single household user whose only load\n",
     "is the \"shower\". The example showcases how to model thermal loads\n",
-    "by means of the `thermal_P_var` attribute."
+    "by: \n",
+    "1) using a time-varying average `power` attribute, pre-calculated as a function of the average daily groundwater temperature; \n",
+    "and\n",
+    "2) using the `thermal_p_var` attribute to add further variability to the actual power absorbed by the appliance in each usage event, which reflects the randomness of user behaviour in preferring a slightly warmer or colder shower temperature."
    ]
   },
   {
@@ -20,8 +23,7 @@
    "outputs": [],
    "source": [
     "# importing functions\n",
-    "from ramp import User,calc_peak_time_range,yearly_pattern\n",
-    "from ramp import load_data\n",
+    "from ramp import User, UseCase, load_data, get_day_type\n",
     "import pandas as pd"
    ]
   },
@@ -35,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 67,
    "id": "70b0f3cb",
    "metadata": {},
    "outputs": [],
@@ -48,15 +50,14 @@
    "id": "808da9d5",
    "metadata": {},
    "source": [
-    "When the power is varying during the day, the “power” parameter needs to\n",
-    "be passed as a pd.DataFrame or np.array with a daily profile (365 rows\n",
-    "of data). For this exercise, data can be loaded from the default\n",
-    "examples in ramp:"
+    "When the power varies across days of the year, for instance, as a function of the average daily groundwater temperature,\n",
+    "the “power” parameter can be passed as a `pd.DataFrame` or `np.array` with a daily profile (365 rows\n",
+    "of data). For this exercise, data can be loaded from the default examples in ramp:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 68,
    "id": "41280681",
    "metadata": {},
    "outputs": [],
@@ -66,30 +67,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 69,
    "id": "1d5b6d41",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:>"
+       "<Axes: >"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -100,23 +99,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 70,
    "id": "e5e87e38",
    "metadata": {},
    "outputs": [],
    "source": [
     "shower = household.add_appliance(\n",
-    "    name = \"Shower\",\n",
-    "    number = 1,\n",
-    "    power  = shower_power,\n",
-    "    num_windows = 2,\n",
-    "    func_time = 15,\n",
-    "    time_fraction_random_variability = 0.1,\n",
-    "    func_cycle = 3,\n",
-    "    window_1 = [390,540],\n",
-    "    window_2 = [1080,1200],\n",
-    "    random_var_w = 0.2\n",
-    ")\n"
+    "    name=\"Shower\",\n",
+    "    number=1,\n",
+    "    power=shower_power,\n",
+    "    num_windows=2,\n",
+    "    func_time=15,\n",
+    "    time_fraction_random_variability=0.1,\n",
+    "    func_cycle=3,\n",
+    "    window_1=[390, 540],\n",
+    "    window_2=[1080, 1200],\n",
+    "    random_var_w=0.2,\n",
+    ")"
    ]
   },
   {
@@ -124,83 +123,67 @@
    "id": "f60846e8",
    "metadata": {},
    "source": [
-    "### Generating profiles"
+    "### Generating profiles for increasing degrees of `thermal_p_var`"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 71,
    "id": "320b7296",
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "peak_time_range = calc_peak_time_range(\n",
-    "    user_list = [household]\n",
-    ")\n",
-    "year_behaviour = yearly_pattern()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "98cce909",
-   "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You will simulate 365 day(s) from 2020-01-01 00:00:00 until 2020-12-31 00:00:00\n"
+     ]
+    }
+   ],
    "source": [
-    "# generating the yearly profiles for different thermal_P_var"
+    "usecase = UseCase(users=[household], date_start=\"2020-01-01\")\n",
+    "usecase.initialize(num_days=365)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "id": "5cbb9580",
+   "execution_count": 72,
+   "id": "285d7b2f-7d20-475d-847c-769810ae34db",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def thermal_P_var_sensitivity(values):\n",
-    "    \n",
+    "def thermal_p_var_sensitivity(values):\n",
     "    # buidling a pd.DataFrame for saving sensitivity results\n",
-    "    results = pd.DataFrame(    \n",
-    "        index = pd.date_range(start = \"2020-01-01\",periods = 1440*365,freq=\"T\"),\n",
-    "        columns = [f\"P_var = {value}\" for value in values]\n",
+    "    results = pd.DataFrame(\n",
+    "        index=pd.date_range(start=\"2020-01-01\", periods=1440 * 365, freq=\"T\"),\n",
+    "        columns=[f\"p_var = {value}\" for value in values],\n",
     "    )\n",
-    "    \n",
+    "\n",
     "    for value in values:\n",
-    "        \n",
     "        # changing the thermal_P_var\n",
-    "        household.thermal_P_var = value\n",
-    "        \n",
-    "        # creating a list to store profiles for all the years of the year\n",
-    "        profiles = []\n",
-    "        for day in range(365):\n",
+    "        shower.thermal_p_var = value\n",
     "\n",
-    "            profile = household.generate_single_load_profile(\n",
-    "                    prof_i = day, \n",
-    "                    peak_time_range = peak_time_range,\n",
-    "                    day_type = year_behaviour[day]\n",
-    "                )\n",
+    "        profiles = usecase.generate_daily_load_profiles(flat=True)\n",
+    "\n",
+    "        # assigning the yearly profile for a given sensitivity case\n",
+    "        results[f\"p_var = {value}\"] = profiles\n",
     "\n",
-    "            profiles.extend(profile)\n",
-    "            \n",
-    "        # assiging the yearly profile for a given sensitivity case\n",
-    "        results[f\"P_var = {value}\"] = profiles\n",
-    "        \n",
     "    return results"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 73,
    "id": "03cff922",
    "metadata": {},
    "outputs": [],
    "source": [
-    "sensitivity_results = thermal_P_var_sensitivity([0,0.25,0.5,0.75,1])"
+    "sensitivity_results = thermal_p_var_sensitivity([0, 0.25, 0.5, 0.75, 1])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 74,
    "id": "2b544ef0",
    "metadata": {},
    "outputs": [
@@ -225,11 +208,11 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>P_var = 0</th>\n",
-       "      <th>P_var = 0.25</th>\n",
-       "      <th>P_var = 0.5</th>\n",
-       "      <th>P_var = 0.75</th>\n",
-       "      <th>P_var = 1</th>\n",
+       "      <th>p_var = 0</th>\n",
+       "      <th>p_var = 0.25</th>\n",
+       "      <th>p_var = 0.5</th>\n",
+       "      <th>p_var = 0.75</th>\n",
+       "      <th>p_var = 1</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -327,7 +310,7 @@
        "</div>"
       ],
       "text/plain": [
-       "                     P_var = 0  P_var = 0.25  P_var = 0.5  P_var = 0.75  \\\n",
+       "                     p_var = 0  p_var = 0.25  p_var = 0.5  p_var = 0.75  \\\n",
        "2020-01-01 00:00:00        0.0           0.0          0.0           0.0   \n",
        "2020-01-01 00:01:00        0.0           0.0          0.0           0.0   \n",
        "2020-01-01 00:02:00        0.0           0.0          0.0           0.0   \n",
@@ -340,7 +323,7 @@
        "2020-12-30 23:58:00        0.0           0.0          0.0           0.0   \n",
        "2020-12-30 23:59:00        0.0           0.0          0.0           0.0   \n",
        "\n",
-       "                     P_var = 1  \n",
+       "                     p_var = 1  \n",
        "2020-01-01 00:00:00        0.0  \n",
        "2020-01-01 00:01:00        0.0  \n",
        "2020-01-01 00:02:00        0.0  \n",
@@ -356,7 +339,7 @@
        "[525600 rows x 5 columns]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -367,7 +350,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 77,
    "id": "78743706",
    "metadata": {},
    "outputs": [],
@@ -378,41 +361,81 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 78,
    "id": "29e7de24",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<AxesSubplot:>"
+       "<Axes: >"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "average_daily_profiles.plot()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "ad0238d2-f90f-4df3-a0de-986f1de75d70",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "first_day = pd.date_range(\n",
+    "    start=\"2020-01-01 00:00:00\", freq=\"1min\", periods=24 * 60  # a full day\n",
+    ")\n",
+    "sensitivity_results.loc[first_day].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "da74d4b3-1dfb-460e-836a-a383e40265a6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -426,7 +449,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,
diff --git a/docs/notebooks/using_excel.ipynb b/docs/notebooks/using_excel.ipynb
index 561b6124..40260f3e 100644
--- a/docs/notebooks/using_excel.ipynb
+++ b/docs/notebooks/using_excel.ipynb
@@ -8,9 +8,11 @@
     "# Using tabular inputs to build a model\n",
     "\n",
     "When the number of users or appliances is high, it can be difficult \n",
-    "to create a model using python scripts. Therefore, RAMP allows you \n",
-    "to create inputs in tabular format (.xlsx). In this example we show\n",
-    "a use case of this functionality.\n"
+    "to create a model using Python scripts. Therefore, RAMP allows you \n",
+    "to create inputs in tabular format (`.xlsx`). On the other hand, it is still possible\n",
+    "to use Python to generate a large tabular file with default parameter values, which can\n",
+    "then be more easily customised. In this example, we show\n",
+    "a possible utilisation of this functionality.\n"
    ]
   },
   {
@@ -20,8 +22,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from ramp import User, Appliance, UseCase\n",
-    "from ramp import calc_peak_time_range,yearly_pattern\n",
+    "from ramp import User, Appliance, UseCase, get_day_type\n",
     "import pandas as pd"
    ]
   },
@@ -30,7 +31,7 @@
    "id": "4dbdd7e3",
    "metadata": {},
    "source": [
-    "At the first step, user needs to creat User classes and assign Appliances to the user class without assiging detaild appliance characteristics"
+    "As a first step, one must create `User` classes and assign `Appliances` to the user class without assigning detailed appliance characteristics. Hence, users and their appliances are added to a `UseCase`."
    ]
   },
   {
@@ -38,7 +39,7 @@
    "id": "b65420e1",
    "metadata": {},
    "source": [
-    "### Buidling a model database"
+    "## Building a tabular file populated with default data"
    ]
   },
   {
@@ -50,10 +51,7 @@
    "source": [
     "# Defining a dict of users with their appliances\n",
     "\n",
-    "user_app = {\n",
-    "    \"household\" : [\"light\",\"tv\"],\n",
-    "    \"school\": [\"light\",\"computer\"]\n",
-    "}"
+    "user_app = {\"household\": [\"light\", \"tv\"], \"school\": [\"light\", \"computer\"]}"
    ]
   },
   {
@@ -77,21 +75,20 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/mohammadamintahavori/Documents/GitHub/RAMP/ramp/core/core.py:738: UserWarning: No windows is declared, default window of 24 hours is selected\n",
-      "  warnings.warn(UserWarning(\"No windows is declared, default window of 24 hours is selected\"))\n"
+      "/home/fl/GitHub-repos/RAMP/ramp/core/core.py:1198: UserWarning: No windows is declared, default window of 24 hours is selected\n",
+      "  warnings.warn(\n"
      ]
     }
    ],
    "source": [
     "# assinging the appliances to users\n",
-    "for user,apps in user_app.items():\n",
-    "    \n",
-    "    user_instance = User(user_name = user)\n",
-    "    \n",
+    "for user, apps in user_app.items():\n",
+    "    user_instance = User(user_name=user)\n",
+    "\n",
     "    for app in apps:\n",
     "        app_instance = user_instance.add_appliance(name=app)\n",
     "        app_instance.windows()\n",
-    "        \n",
+    "\n",
     "    use_case.add_user(user_instance)"
    ]
   },
@@ -100,8 +97,8 @@
    "id": "2688824d",
    "metadata": {},
    "source": [
-    "Once the users and appliances are added to the `use_case` instance, the\n",
-    "user can get a pd.DataFrame or an .xlsx file of all the data with the\n",
+    "Once the `Users` and `Appliances` are added to the `use_case` instance, the\n",
+    "model user can get a `pd.DataFrame` or an `.xlsx` file of all the data with the\n",
     "default values."
    ]
   },
@@ -311,7 +308,7 @@
    "outputs": [],
    "source": [
     "# Printing out the database to an .xlsx file\n",
-    "use_case.save(\"path/name_of_file\")"
+    "use_case.save(\"example_excel_usecase\")"
    ]
   },
   {
@@ -319,8 +316,8 @@
    "id": "4b6db372",
    "metadata": {},
    "source": [
-    "Once the function is used, an .xlsx file will be created in the given\n",
-    "path. Now you can easily fill-out the information in the .xlsx file and\n",
+    "Once the function is used, an `.xlsx` file will be created in the given\n",
+    "path. Now, you can easily fill out the information in the `.xlsx` file and\n",
     "load the data into the model database as detailed below."
    ]
   },
@@ -334,15 +331,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "id": "fecf2e52",
    "metadata": {},
    "outputs": [],
    "source": [
     "# loading data\n",
     "\n",
-    "use_case = UseCase() # creating a new UseCase instance\n",
-    "use_case.load(\"path/name_of_file.xlsx\")"
+    "use_case = UseCase()  # creating a new UseCase instance\n",
+    "use_case.load(\"example_excel_usecase_filled.xlsx\")"
    ]
   },
   {
@@ -350,7 +347,7 @@
    "id": "7f50fd4d",
    "metadata": {},
    "source": [
-    "### Generating load profiles"
+    "## Generating load profiles"
    ]
   },
   {
@@ -358,84 +355,144 @@
    "id": "1b5dd0dc",
    "metadata": {},
    "source": [
-    "Once the database is loaded, the user can continue with the normal analysis like generating aggregated profiles"
+    "Once the database is loaded, the user can continue with the normal analysis, for instance, generating aggregated profiles"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "id": "7005cf80",
+   "execution_count": 12,
+   "id": "9b4dc984-e6a3-491e-aea6-b56f73300196",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "You will simulate 30 day(s) from 2020-01-01 00:00:00 until 2020-01-31 00:00:00\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "array([0.   , 0.   , 0.   , ..., 0.002, 0.002, 0.002])"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "peak_time_range = calc_peak_time_range(\n",
-    "    user_list = use_case.users\n",
+    "n_days = 30\n",
+    "date_start = \"2020-01-01\"\n",
+    "use_case.date_start = date_start\n",
+    "use_case.initialize(num_days=n_days, force=True)\n",
+    "use_case.generate_daily_load_profiles()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "697c8a01-4cd2-4218-9dc3-943de2474812",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: title={'center': 'Usecase'}>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "profiles = pd.DataFrame(\n",
+    "    data=use_case.generate_daily_load_profiles(flat=True),\n",
+    "    index=pd.date_range(start=date_start, periods=1440 * n_days, freq=\"T\"),\n",
     ")\n",
     "\n",
-    "year_behaviour = yearly_pattern()"
+    "profiles.plot(title=\"Usecase\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a0de8c06-d4d7-4da1-b598-c03e56688b40",
+   "metadata": {},
+   "source": [
+    "### Generating load profiles for the single users of the usecase"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 14,
    "id": "26859fb2",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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XLcm9E+h090XB8/+mmOw3mtlMgOD/ptpCFBGRSlWd3N39dWCtmZ0YFJ0NrAAWAPOCsnnAfTVFKKnSUbdkXSN2DWUh5rYap78KuN3MxgIvA39CcYdxj5ldDrwGXFLje2RCBo6yUqVTIUXypabk7u7PAHNDXjq7lvmKiEht9AvVmDJwlJUqXThMwqR1yqLWefqU3JucekQk6xqx2y4LMSu5i4jkkJK7iEgOKbk3OXV9StY1Yv98FmJWco8pA11oqdKpkCL5ouQuIoNkoNEpCchVcvcUj4XyvsHrVEgJldK60TpPX66Su1ROPSKSdY3YbZeFmJXcRURySMm9yenoWLJOXTjVUXIXkUEy0KPQ8LKwQ1JyjynvG7xOhRTJl1wl96T3lrqH6ujQPVSbQ97voZo1uUruUj0lTQmjzaJxKbmX0QzdBY32EZthneSV7qE6upTcRURySMm9yemwW7JOXYbVUXIXkUGUS2uXhR2SkntMGehCS5VOhRTJl1wl9zR3lhnYEadKFw6TMGmtG63z9OUquUvl1GiWrGvEI7ssxKzkLiKSQ0ruIiI5VHNyN7NWM1tmZj8Mnh9uZg+b2arg/5Taw5S0qOtTsq4R++ezEHMSLffPAitLnl8DLHT3E4CFwfOGl4EutFTpbBmRfKkpuZtZB/AB4DslxRcB84PH84GLa3mPSiR9mz1dOGx06MJhzUGrbnTV2nL/J+CLQKGk7Ah33wAQ/J8RNqGZXWFmS8xsSVdXV41hSK2UNCWMrt7YuKpO7mZ2AbDJ3ZdWM7273+Luc9197vTp06sNI1XN0F3QaB+xGdZJvaW1iHXhsNHVVsO07wIuNLPzgXZgkpn9J7DRzGa6+wYzmwlsSiJQERGJr+qWu7tf6+4d7j4buBT4mbt/FFgAzAuqzQPuqzlKERk16ojJhzTOc78ReJ+ZrQLeFzyXjNIXWbKuEceDshBzLd0yB7n7I8AjweMtwNlJzDdLMtCFliqdCimSL7n6haouHFY9XThMwujCYY0rV8ldKqdGs2RdIx7ZZSFmJXcRkRxSchcRySEldxGRHFJyb3Ia15Ksa8TB1yzEnKvknvQCzcIKGi1ZGACKo5nWSd74oMdakWnLVXKX6ilpShhtFo1Lyb2MRmnN1qLRPmIzrJO80oXDRpeSu4hIDim5i4jkkJJ7k1OfqmSdxoOqo+QuIpKwLOyQcpXcdXqVSLKSvi/xwHxTma2UyFVyl8plYFBfpKwsnHlSqSzErOQuIpJDSu4iIjmk5C4ikkNK7k1O41qSdRp8rU6ukrsuHJZ/WieNyyMe51EWttNcJXcRSVYWkpRUR8m9jCyczpS2RvuIzbBO8qqZVl0WtlMldxEZJK0fLsnoUnIXEcmhqpO7mR1tZj83s5VmttzMPhuUH25mD5vZquD/lOTCFRGROGppufcCV7v7ycAZwJVmdgpwDbDQ3U8AFgbPJaN0AC7Zp620GlUnd3ff4O5PB493ASuBo4CLgPlBtfnAxTXGWDfqeswerZPGNehUyJyvyCx8vET63M1sNnAqsAg4wt03QHEHAMyImOYKM1tiZku6urqSCEMaVAa+ByK5U3NyN7OJwPeBz7n7zrjTufst7j7X3edOnz691jBSkYXTmdLWaB+xGdZJvZkWcs2ysAhrSu5mNoZiYr/d3e8Nijea2czg9ZnAptpCFBGRStVytowB3wVWuvtNJS8tAOYFj+cB91UfnoiIVKOthmnfBXwMeN7MngnKrgNuBO4xs8uB14BLaopQREQqVnVyd/dfEt1le3a185XRpcFMybosnHlSqSzEnKtfqGZhgYrkSZLfqdJ56auavlwld6lcBgb1c3/Oc6PR+qhdw58tIyIi2aTkLiKSQ0ruIiI5pOTe5NS7KlmnbbQ6uUrunvBmoHGl7NE6aWQDKy/v6zELny9XyV0aUwa+BxIh6QaTjB4l9zKycDpT2hrtIzbDOpHGl4XttJbLD4wKd2fTrm4O9BUAGD+mlakTx0XW37y7m57eAn0FZ2xbC0dMao+su2PfAbbv7aHFbMS67s7WPT309BboLRSYOXk8rS3ha7C7t4+e3gIH+pw93b3MmDSOcW2toXV7+wps3t1TfFwoMHXCOMaPDa9buizaWloYP7aVyePHRMa8eXc3LWa0tRqFgnPYIWMj6+7t6eX1Hfvpc6e9rYXDJ4yNvDrgvp4+Nu/upq3V6Cs4syaPpyViWRQKzta9PXT3FigUnCMmtTO2LbpN8fqO/fQWCvT2FetGLQuADTv2AdDTW2BS+ximTIj+fJt27aent7jcWluM6YdGb0Pb9vSwp6eX1hbDMI6cHL1d7Nx/gJ37DtDW0kJvoVB2Wezt6WXrnuK6bm0xpk0cx5jW8GXR01tg654eDvQVGNPawmGHjKF9TPR2sWVPD/sP9NFixoRxbWW3i00799PdW6ClxZgwtrXsdrF5dw9trS24O+1jWplW5ru3Y98B9vX0caCvgDscffj4sttQ57a9tLUUP/+0iWNpK7MsXt+xn+7ePsa2tTCpfQwTxoWnrkLBWR9sF/11o5YbDGxvbS0tjGm1srlly+7u4ne6p5fJ48eMuCz6P1+fO7Mmt0cui93dvWzf23OwK2fWYdG55UBfgd37e9nT01t2vUEDJPebH32Jrz34m0FlD37u3Zx05KRhdR9avpHP3f3MoLK/+uAp/PG7jh1Wd932fbzrxp8NKvuHS97Kh97eERrHS117+O0vPzyobM2NHwit+4Gv/5LVm3bHqvvZu5/hgec2xKr7rUde4u9+MrAs2lqMx774HmYdNn5Y3R8+t55P37FsUNn9nz6TN3dMDp33X963nL+8b/nB53994RzmvXN2aN2Tv/TgoOfvOn4qt//pGcPq9RWcN1z3o0Flhx0yhme+dG7ofAHO+OrCQc+jlgXAO746eP0tuu7s0B30XYtf45p7nx9U9q8fezvnzTlyWN2n1mzlkm//alDZ3/3BW7hk7tHD6m7atZ/Tbxgc75uPmsz9V505rK67c8qXfjKo7JyTZ/CdeacNqwtw+fyn+MWqzQefz556CI984T2hdU/+0oPsP1AYVPbcX53LpPbwBH/6VwZiNoMfXnUmc2aFbxcfuvmJQc+/8UencsFbZg2rt277Ps762s/pKwx048ya3M4T14ZfieSj31006PmFb53F1y87NbTuR76zaFhZ1HZx1Z3LeOD5wd+nFX9zHoeMHZ7qfrCsk8/f/eygsqjvyMMrNvLJ/1gyqOw7H5/LOaccERrHzY+8xM2PvHTw+Vs6JrPg08O3i309fbzp+p8MK4/6fJfd8iRLXt0W+tpQme+W2bhj/7CyV7r2hNfdObzugmfXh9bdGrSWS23a1T1iPGefFHrvkUGGJvZyNu7YzxumT+DIMkcN/V4fsix6C36wJThsvjuHf5au3cOXT6kzj5928PH67ftGjKff46u3hJb3H22V2r73QNl5jS/TyhrJhpBtBcKXxaMvht8gZlNI3ajtYtuegc9ybvAlf37djtC6hZCu67C4Bl4b+CwdU8aXrTs0sQPs2t8bWb+UOwePHPuVu557VBxbd/cMSuwA6yPWR6njZ0zkuGkTQr+71Xhs1fD1uqe7L7Ru2GdZsSF8/YXFFydfHDttAgDPdYbPd09PvPXUL25ihwZI7mFfiqghnsrqDn8lrGyoOUeFt3CqVXBn5uTxnH7s4bHqDhUVcthPyAvDc8Cg5XPikYeOGEPahnYnVPJT+Kj1V8lyC90uwjasIXXPemP5G85Uur2VvuXRUw6JtW0Omj4i5rixRYlaH5XG1+/M46cxY9K4xM4uqfVzV/R9ihH024+ZUnEMSWmA5J7ORhq+Ykf/zICCFw+N47xz2HZbSUKr6Escu2btyoVVwXe1oi9m1CcMX27h8y2tO9IAWiXzHVq/tcUqTn6V1E9rBzr8fYaXmUGLWWJJLryBFz7vSt4ydL4JxJxmysl8cg/9WlbwJY6sG1JWSSJJijN8447eaOIn7LDisJqlOSliDGfIfEd3IVX2fhHLotYYEkgOoeuj3AxKXiru/Cv7FJXUHxpGubiij3hiv90ghtFillhjIvRzV7TTDxfaGIw9dWXzTUr2k3tFK6C2+cZZ0Emf4eTuxaTqpWXhdcO6VaJbleHvVU6ce2emvQMcGkIl7xenhX2wLGRZRtaNTA4Dj22ELSM8uUfXH9pyr3S5J7HcKqlb7U7frPiXZsu9ku9IRfONMYORPlaa36fMJ/fwfuL4h4ZR+So8+VUSWTIK7sNb7mXqDld790KYJPpWq1meQ6epqKstsm885H2illvY9hZjWVTXLRP92Upjbq2i22I0uzOh+lZsy8FumSpnECOQWrqSDs62xu9TJfNNSvaTe0WDYcPLolvBYfMd/exeKBRbzKWfM3pjjFcG1R2ZlOanSlrBUZL4dWNFXR8R5dX2o5crG1o+0jFP5cm9dMdR7HOvZPsc7bqVDGSWMjNaLLnvXl9F6294WVQUYbNI4mijqfvcK1sB8fvFKkmUaSoE3TKloUf3o4d1L9S+IzioJENV0pcfpZoNd3i3TO1HCrXGnNZhfdku99KWe8vI9eO8X5p1q+9zT3pANX5jsJo+99LtM87kIzVwmrvPPWThVNRlEHkYOfIePu6gZK2Gni2TxCBw3AG80pLSfuMkEmXcDbc0rqEt4KFzKD8GGX+nGL2M49ctjW7E4YoKt6XSmFuCmVey7aW1E64lUYbWCPrck8pxlYxtVFK3/3tWupqTODJt6j73tForlbTQ0tTf5x6n5V7J6ZuVtGD6WYyWe9qnUw4d1E2i5V5Rn3vMneLQuiMNqNbU5x6cxjTa/eiV1K32u9NiFnRLVjd9HElsywMtdyspG3m6araLpGQ+udf6A5TK5ju4LKw1lvTZMgUnSO4+qCyqbpwyiN/nbhGPkxmEil01eh5DBjjLtZCH/kKyX80/YorTz5z4gOrwlnsWknvSP2IqdsukO95VWZ97/KO/ZPrcmzq5Dy9L7UcJ8SdPTME9pFumgiRVQQs0iR8EVdTCSmCBVvIFChtMg/hdVMX3i1dWrjz2fCNOxxxav//3B6Pd1RImsjERfxaDJP0jpjBJnL5ZSRfOoDojLJkmH1CtoNVV40+Pqx3xr4X78I27stZ4eN1qfqE6uFsmfgxRkumTTKdVGTXXSlpotZ5lUv7HQgOvtQZXTsxCyz2JI7pS/T9iqvSrl8gZPhV97uL/QUe3cYIeoUpD9rmb2fvN7DdmttrMrql6RhXsMZ3hh+2Ry67Glm1S+n/EVPreURtj+DhBRN3YhQMGD6jWfnSUSLdMBXVDrlNWcRwVDciVPK5iPLX8gGrJ42rOlkmtbuQ8qkzuBwdUK5s+mZjjzyP0bJn4k4843zSkktzNrBX4JvD7wCnAZWZ2SjXzqqTVVXCP3Sde67VXklK8tkzcPveBF+zgoXr8VkllLffaWzujvfGn1ece70dMSQ+oDryWpT736PGH2LMYxIIB1Uq/eqM9COz93acl0ySRL9LMOWldz/10YLW7vwxgZncBFwErwiqv3baX/zPkOuz9nl27fVjZ/CfW8MTqzcPKH32xa1gXx3OdO/h8yLz7b/RQ6rEXuwbVXfLq1tCY+oXNt9K6m3d3D9to/uJ/ng+9uUfpZUNbzeh155bHXub+ZzcMqxt26dm7nlrLolcGf6bSSyKXpqcnX94aGnN3b/jlU8PWX3dv+Dd+6Hx3lrk87fX3LR90s4XHQ9Z7v289spqHlr8+rHxZyDa04Nn1tIVcTGd11/DLNf9i1ebQz7dx18BlYEvnFFZ3b8/w5bZ974HI7WJP98Ay6b/5xzX3Ps/YiBtaDPWPP13F1DI3Lyl1x+LXeOKlgcs2l7vc88KVm0Ivixw1Tenn27x7+HT9A6obd+6v6Pt09X89e3CnN5KvPfib0JuXPNu5fVjZ9371KkvXbBtWvnz9TozByfjBX7/Oq1v2Hnw+0tFH2HaxfV/4JbArWRZR0kruRwFrS553Ar9TWsHMrgCuABh/5Bt4KiKRtrYaUyeM5eSZk/hl8MXeuqcntH5vn/Pek2Zw3PSJfPvR4oXyD58wlqUxr4HcW/BBdQ/0Dl9Z7z1pBv+8cBVA7PmWqztt4jjOOHYqp8yaxAX/8kuOnNTOr9ftDK07prWFee84hsVrtvGF897IPzz0Iuu372f99vBrYY9tbaGnpK9i656eYdd/n9Texra9Bzhu+gTOnXMkX//Z6hFj7vfhuR3cs6ST9jEtkesPYMah43jX8dP4wbJ1I873yvccz3U/GLixxvL1g5fF0DsXzZk16WCdLbt72LY3PI6TjjwUd7juAycz79bFTJs4LjLmucdMYW9PHzMnt7PwhU0cKBTKfr43TJ/A2ScPXOe/XN3WFuN3jj2csW0tvNy1J3JZzDpsPGedMJ1la7dxwZtn8uRLW3g+4prg/dpajN6gObpm8x7WbB5+34P2MS0Hr/8+7x3H8Py6HWze3cOWkmu6Dz0COvukGazZsodZh43n1S17I2N+01GT+PgZs/ni9587WBZVd+K4NnZ39/KHpx3Noy92sey17ZF1Z089pHgzj5Jtc9lr20PrTps47uBOpL/RFOf+Cp8/5438409fZNf+3sj1996TjuCSuR387+8tBYo77KiYDxnbyqT2MVx93oncG2z3UfMd19ZCd2+BaRPHHry2ftR8J7W3HWwMRd2tqZ+lcSqOmV0CnOfufxo8/xhwurtfFVZ/7ty5vmTJkrCXREQkgpktdfe5Ya+lNaDaCZTel6wDCL8lkoiIJC6t5P4UcIKZHWtmY4FLgQUpvZeIiAyRSp+7u/ea2aeBnwCtwK3uvnyEyUREJCFpDaji7j8CfpTW/EVEJFrmf6EqIiKVU3IXEckhJXcRkRxSchcRyaFUfsRUcRBmu4DfxKw+GSj/U73q6+e5blbiyELdrMSRhbpZiaPR6mYljhPd/dDQV9y97n/Akgrq3lLhvGPXz3PdrMSRhbpZiSMLdbMSR6PVzUoc5XJnI3bL3J9i/TzXzUocWaiblTiyUDcrcTRa3SzFESor3TJLPOL6CCIiEq5c7sxKy/2WegcgItKAInNnJlruIiKSrKy03HMj6vaCZnZVUL7czL5WzxizyMxuNbNNZvbrkrIvm9lzZvaMmT1kZrPqGWMWmdnRZvZzM1sZbFufDcoPN7OHzWxV8H9KvWPNkjLL7e5ge3vGzNaY2TN1DrVqarknKLi94IvA+yhe9vgp4DLgCODPgQ+4e7eZzXD3TfWLNHvM7CxgN/Af7v6moGySu+8MHn8GOMXdP1XHMDPHzGYCM939aTM7FFgKXAz8MbDV3W8MGhlT3P3P6hdptkQtN3dfUVLnH4Ad7v439YqzFqldOKxJRd1e8FTgRnfvBlBiH87dHzOz2UPKSm/DNIFkbsuaK+6+AdgQPN5lZisp3gntIuD3gmrzgUcAJfdAmeW2AsCKN8X9MPDeugVZI3XLJCvs9oJHAW8E3m1mi8zsUTM7rS7RNSAzu8HM1gIfAb5U73iyLNg5ngosAo4IElh/IptRZtKmNmS59Xs3sNHdV9UlqAQouScr7KaGTvEIaQpwBvAF4J6gZSAjcPc/d/ejgduBT9c7nqwys4nA94HPDTnikTLKLLfLgDvrE1UylNyTFXV7wU7gXi9aDBSAaXWIr5HdAXyo3kFkkZmNoZigbnf3e4PijUG/cn//sroCh4hYbphZG/C/gLvrFVsSlNyTFXV7wf8h6LszszcCY4HN9QqyUZjZCSVPLwReqFcsWRUcAX4XWOnuN5W8tACYFzyeB9w32rFlWZnlBnAO8IK7d45+ZMnR2TIJM7PzgX9i4PaCNwSJ/lbgbUAP8H/d/Wd1CzKDzOxOigOA04CNwPXA+cCJFI90XgU+5e7r6hVjFpnZmcAvgOcpLieA6yj2H98D/BbwGnCJu2+tS5AZFLXc3P1HZnYb8KS7f7te8SVByV1EJIfULSMikkNK7iIiOaTkLiKSQ0ruIiI5pOQuIpJDSu4iIjmk5C4ikkNK7iIiOaTkLiKSQ0ruIiI5pOQuIpJDSu4iIjmk5C4ikkNK7iIiOaTkLiKSQ0ruIiI5NKrJ3cx2j+b7iYg0K7XcRURyaNSTu5lNNLOFZva0mT1vZhcF5bPNbKWZ/ZuZLTezh8xs/GjHJyKSB6N6D9WgW+Yw4BB332lm04AngROAY4DVwFx3f8bM7gEWuPt/jlqAIiI50VaH9zTgK2Z2FsW7jh8FHBG89oq7PxM8XgrMHvXoRERyoB7J/SPAdODt7n7AzNYA7cFr3SX1+gB1y4iIVKEeA6qTgU1BYn8Pxe4YERFJ0Ki13M2sjWLL/HbgfjNbAjwDvDBaMYiINItRG1A1s7cC/+bup4/KG4qINLFR6ZYxs08BdwJ/MRrvJyLS7Eb1VEgRERkdqbTczexoM/t58KOk5Wb22aD8cDN72MxWBf+nBOXvM7OlwY+alprZe0vm9fagfLWZfd3MLI2YRUTyJK1umV7ganc/GTgDuNLMTgGuARa6+wnAwuA5wGbgg+7+ZmAe8L2Sed0MXEHxh04nAO9PKWYRkdxIJbm7+wZ3fzp4vAtYSfHHShcB84Nq84GLgzrL3H19UL4caDezcWY2E5jk7r/yYv/Rf/RPIyIi0VIfUDWz2cCpwCLgCHffAMUdADAjZJIPAcvcvZviDqGz5LXOoExERMpI9Tx3M5sIfB/4XHAtmZHqzwH+Fji3vyikmkaARURGkFrL3czGUEzst7v7vUHxxqCrheD/ppL6HcAPgI+7+0tBcSfQUTLbDmA9IiJSVlpnyxjwXWClu99U8tICigOmBP/vC+ofBjwAXOvuj/dXDrpudpnZGcE8P94/jYiIREvlPHczOxP4BfA8xSs/AlxHsd/9HuC3gNeAS9x9q5n9BXAtsKpkNue6+yYzmwvcRvEiYj8GrnKdnC8iUpZ+xCQikkO6zZ6ISA4puYuI5JCSu4hIDim5i4jkkJK7iEgOKbmLiOSQkruISA4puYuI5ND/B0LBlPz+yTLJAAAAAElFTkSuQmCC",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "n_days = 30\n",
-    "\n",
-    "\n",
-    "\n",
     "for user in use_case.users:\n",
     "    user_profiles = []\n",
-    "    for day in range(n_days):\n",
+    "    for day_idx, day in enumerate(use_case.days):\n",
     "        profile = user.generate_aggregated_load_profile(\n",
-    "                        prof_i=day,\n",
-    "                        peak_time_range=peak_time_range,\n",
-    "                        day_type=year_behaviour[day]\n",
-    "                    )\n",
-    "        \n",
+    "            prof_i=day_idx,\n",
+    "            peak_time_range=use_case.peak_time_range,\n",
+    "            day_type=get_day_type(day),\n",
+    "        )\n",
+    "\n",
     "        user_profiles.extend(profile)\n",
-    "        \n",
-    "    profiles = pd.DataFrame(   \n",
-    "        data = user_profiles,\n",
-    "        index = pd.date_range(start = \"2020-01-01\",periods = 1440*n_days,freq=\"T\"),\n",
+    "\n",
+    "    profiles = pd.DataFrame(\n",
+    "        data=user_profiles,\n",
+    "        index=pd.date_range(start=date_start, periods=1440 * n_days, freq=\"T\"),\n",
     "    )\n",
-    "    \n",
-    "    profiles.plot(title = user.user_name)\n",
-    "    \n",
-    "        "
+    "\n",
+    "    profiles.plot(title=user.user_name)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "20f6ef5a-2214-4630-8843-839aeb8cc030",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -449,7 +506,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.8"
+   "version": "3.8.18"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/api_document/ramp.calc_peak_time_range.rst b/docs/source/api_document/ramp.calc_peak_time_range.rst
deleted file mode 100644
index c0cc15a9..00000000
--- a/docs/source/api_document/ramp.calc_peak_time_range.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-ramp.calc\_peak\_time\_range
-============================
-
-.. currentmodule:: ramp
-
-.. autofunction:: calc_peak_time_range
\ No newline at end of file
diff --git a/docs/source/api_document/ramp.yearly_pattern.rst b/docs/source/api_document/ramp.yearly_pattern.rst
deleted file mode 100644
index 18ea068a..00000000
--- a/docs/source/api_document/ramp.yearly_pattern.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-ramp.yearly\_pattern
-====================
-
-.. currentmodule:: ramp
-
-.. autofunction:: yearly_pattern
\ No newline at end of file
diff --git a/docs/source/api_references.rst b/docs/source/api_references.rst
index ecfb99e8..c19abb51 100644
--- a/docs/source/api_references.rst
+++ b/docs/source/api_references.rst
@@ -15,6 +15,16 @@ Use Case class
     UseCase.save
     UseCase.export_to_dataframe
     UseCase.load
+    UseCase.collect_appliances_from_users
+    UseCase.initialize
+    UseCase.calc_peak_time_range
+    UseCase.generate_daily_load_profiles
+    UseCase.generate_daily_load_profiles_parallel
+    UseCase.date_start
+    UseCase.date_end
+    UseCase.peak_enlarge
+    UseCase.num_days
+    UseCase.datetimeindex
 
 
 **********
@@ -64,8 +74,6 @@ Utilities
 .. autosummary::
     :toctree: api_document/
 
-    yearly_pattern
-    calc_peak_time_range
     load_data
     download_example
 
@@ -87,7 +95,6 @@ Visualization
     Plot.shadow
     Plot.area
     Plot.load_duration_curve
-    Plot.validate_results
     Plot.error
     Plot.peak
     Plot.DataFrame
diff --git a/docs/source/examples.rst b/docs/source/examples.rst
index ed3a5e64..9744dcd0 100644
--- a/docs/source/examples.rst
+++ b/docs/source/examples.rst
@@ -13,4 +13,4 @@ RAMP examples
     examples/thermal_app/thermal_app
     examples/year_simulation/year_simulation
     examples/parallel_processing/parallel_processing
-    examples/Plot_class/Plot class
+    examples/plot_class/plot_class
diff --git a/docs/source/examples/Plot_class/Plot class.rst b/docs/source/examples/Plot_class/Plot class.rst
deleted file mode 100644
index 3e6f2821..00000000
--- a/docs/source/examples/Plot_class/Plot class.rst	
+++ /dev/null
@@ -1,1054 +0,0 @@
-Ramp Plotting Class
-===================
-
-Ramp Plotting class offers some functionalities for visualizing ramp
-outputs. A Plot class can be initialized by reading a pandas.DataFrame
-or reading results from a csv or excel file.
-
-Initializing a Plot class
--------------------------
-
-running a ramp using a python🐍 IDE
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-.. code:: ipython3
-
-    from ramp import User,calc_peak_time_range,yearly_pattern
-
-
-.. code:: ipython3
-
-    # creating a user and adding some appliances
-
-    Petrol_Station = User(
-        user_name = "Petrol Station",
-        num_users = 1,
-    )
-
-    #add appliances
-    outside_bulb = Petrol_Station.add_appliance(
-        name = "Security Light",
-        number = 2,
-        power = 18, #watt
-        num_windows = 2, # security light has two functioning window: during night and during day
-        fixed_cycle = 0, # bulb has no duty cycle and always work with a single cycle
-        window_1 = [0,7*60], # from mid-night to 7 AM with opening
-        window_2 = [21*60,23*60+59], # from 21 to 23:59
-        fixed = "yes",
-        flat = "yes",
-
-    )
-
-
-    inside_bulb = Petrol_Station.add_appliance(
-        name = "Indoor Light",
-        number = 1,
-        power = 75, #watt
-        num_windows = 1, # security light has two functioning window: during night and during day
-        fixed_cycle = 0, # bulb has no duty cycle and always work with a single cycle
-        window_1 = [7*60,21*60], # from mid-night to 7 AM,9PM with opening,
-        func_cycle  = 1, # when the appliance is switched on, it remains on at least for a min,
-        occasional_use = 1, # it is always present in the energy mix
-        func_time = 30, #usually is used around 60 min during the whole day
-        time_fraction_random_variability = 0.9,
-        random_var_w = 0.15,
-    )
-
-    petrol_pump = Petrol_Station.add_appliance(
-        name = "Petrol Pump",
-        number = 1,
-        power= 200,
-        num_windows = 1,
-        fixed_cycle = 0,
-        window_1 = [7*60,21*60],
-        func_cycle  = 1,
-        occasional_use = 1,
-        func_time = 40,
-        time_fraction_random_variability = 0.15,
-        random_var_w = 0.15,
-    )
-
-    # phone chargers
-    phone_charger = Petrol_Station.add_appliance(
-        name = "Phone Charger",
-        number = 1,
-        power= 5,
-        num_windows = 1,
-        fixed_cycle = 0,
-        window_1 = [7*60,21*60],
-        func_cycle  = 30,
-        occasional_use = 0.7,
-        func_time = 60,
-        time_fraction_random_variability = 0.15,
-        random_var_w = 0.15,
-    )
-
-    # Radio
-    radio = Petrol_Station.add_appliance(
-        name = "Radio",
-        number = 1,
-        power= 5,
-        num_windows = 1,
-        fixed_cycle = 0,
-        window_1 = [7*60,21*60],
-        func_cycle  = 20,
-        occasional_use = 0.95,
-        func_time = 4*60,
-        time_fraction_random_variability = 0.15,
-        random_var_w = 0.15,
-    )
-    #%%
-
-    peak_time_range = calc_peak_time_range(
-        user_list = [Petrol_Station]
-    )
-    year_behaviour = yearly_pattern()
-
-.. code:: ipython3
-
-    # running the simulation for multiple cases to generate mutlipe simulations for a year = 2022
-
-    import pandas as pd
-
-    number_of_simulations = 10
-    number_of_days = 365
-
-    results = {}
-
-    idx = pd.date_range(start=f"2022-01-01",periods=number_of_days*60*24,freq="1min",name = "date")
-
-    for profile in range(1,number_of_simulations+1):
-        profiles = []
-        for prof_i in range(number_of_days): # 365 days of the year
-
-            result = Petrol_Station.generate_aggregated_load_profile(
-                prof_i = prof_i,
-                day_type = 1,
-                peak_time_range = peak_time_range
-            )
-
-            profiles.extend(result.tolist())
-
-        results[f"case {profile}"] = pd.Series(index=idx,data=profiles)
-
-    dataframe = pd.concat(results,axis=1)
-
-.. code:: ipython3
-
-    dataframe
-
-
-
-
-.. raw:: html
-
-    <div>
-    <style scoped>
-        .dataframe tbody tr th:only-of-type {
-            vertical-align: middle;
-        }
-
-        .dataframe tbody tr th {
-            vertical-align: top;
-        }
-
-        .dataframe thead th {
-            text-align: right;
-        }
-    </style>
-    <table border="1" class="dataframe">
-      <thead>
-        <tr style="text-align: right;">
-          <th></th>
-          <th>case 1</th>
-          <th>case 2</th>
-          <th>case 3</th>
-          <th>case 4</th>
-          <th>case 5</th>
-          <th>case 6</th>
-          <th>case 7</th>
-          <th>case 8</th>
-          <th>case 9</th>
-          <th>case 10</th>
-        </tr>
-        <tr>
-          <th>date</th>
-          <th></th>
-          <th></th>
-          <th></th>
-          <th></th>
-          <th></th>
-          <th></th>
-          <th></th>
-          <th></th>
-          <th></th>
-          <th></th>
-        </tr>
-      </thead>
-      <tbody>
-        <tr>
-          <th>2022-01-01 00:00:00</th>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-        </tr>
-        <tr>
-          <th>2022-01-01 00:01:00</th>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-        </tr>
-        <tr>
-          <th>2022-01-01 00:02:00</th>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-        </tr>
-        <tr>
-          <th>2022-01-01 00:03:00</th>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-        </tr>
-        <tr>
-          <th>2022-01-01 00:04:00</th>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-        </tr>
-        <tr>
-          <th>...</th>
-          <td>...</td>
-          <td>...</td>
-          <td>...</td>
-          <td>...</td>
-          <td>...</td>
-          <td>...</td>
-          <td>...</td>
-          <td>...</td>
-          <td>...</td>
-          <td>...</td>
-        </tr>
-        <tr>
-          <th>2022-12-31 23:55:00</th>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-        </tr>
-        <tr>
-          <th>2022-12-31 23:56:00</th>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-        </tr>
-        <tr>
-          <th>2022-12-31 23:57:00</th>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-        </tr>
-        <tr>
-          <th>2022-12-31 23:58:00</th>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-          <td>36.0</td>
-        </tr>
-        <tr>
-          <th>2022-12-31 23:59:00</th>
-          <td>0.0</td>
-          <td>0.0</td>
-          <td>0.0</td>
-          <td>0.0</td>
-          <td>0.0</td>
-          <td>0.0</td>
-          <td>0.0</td>
-          <td>0.0</td>
-          <td>0.0</td>
-          <td>0.0</td>
-        </tr>
-      </tbody>
-    </table>
-    <p>525600 rows × 10 columns</p>
-    </div>
-
-
-
-.. code:: ipython3
-
-    # Creating a Plot class
-    from ramp import Plot
-
-    plot = Plot(dataframe)
-
-.. code:: ipython3
-
-    plot
-
-
-
-
-.. parsed-literal::
-
-                         case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10
-    date
-    2022-01-01 00:00:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:01:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:02:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:03:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:04:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:05:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-     ......
-
-
-
-If the dateframe object did not have a pd.DatatimeIndex, the plot class
-could not be initialized. in this case, you can use the ‘index’ argument
-to pass a datetime index!
-
-reading the ramp output from excel or csv
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-
-If you run your ramp simulations from terminal, and saved your outputs
-into a file, you can read your saved results to perform your analysis.
-The structure of the saved results should be exactly as shown in
-previous line where the index is a date-time index and on the columns
-you have different cases, or even different users of your simulation
-case. To read the file:
-
-.. code:: ipython3
-
-    plot = Plot.from_file(file="path to csv or xlsx file")
-
-If the data in file did not have a date-time index, the plot class could
-not be initialized! in this case, you can use the ‘index’ argument to
-pass a datetime index!
-
-Filtering data using loc & iloc functions
------------------------------------------
-
-if you need to take only a part of your data, you can use the loc
-function. For example to take only the second day of your data:
-
-.. code:: ipython3
-
-    second_day = pd.date_range(
-        start="2022-01-01 00:00:00",
-        freq = "1min",
-        periods = 24*60 # a full day
-    )
-
-    filtered_data = plot.loc(index=second_day)
-
-if you need to also filter on the columns, you can use the columns
-argument or use the **get item** method:
-
-.. code:: ipython3
-
-    # using the function
-    filtered_data = plot.loc(index=second_day,columns=["case 1","case 2"])
-    filtered_data
-
-
-
-
-.. parsed-literal::
-
-                         case 1  case 2
-    date
-    2022-01-01 00:00:00    36.0    36.0
-    2022-01-01 00:01:00    36.0    36.0
-    2022-01-01 00:02:00    36.0    36.0
-    2022-01-01 00:03:00    36.0    36.0
-    2022-01-01 00:04:00    36.0    36.0
-    2022-01-01 00:05:00    36.0    36.0
-    2022-01-01 00:06:00    36.0    36.0
-    2022-01-01 00:07:00    36.0    36.0
-    2022-01-01 00:08:00    36.0    36.0
-    2022-01-01 00:09:00    36.0    36.0
-     ......
-
-
-
-.. code:: ipython3
-
-    # using the get item method
-    filtered_column = plot["case 1"]
-    filtered_column
-
-
-
-
-.. parsed-literal::
-
-                         case 1
-    date
-    2022-01-01 00:00:00    36.0
-    2022-01-01 00:01:00    36.0
-    2022-01-01 00:02:00    36.0
-    2022-01-01 00:03:00    36.0
-    2022-01-01 00:04:00    36.0
-    2022-01-01 00:05:00    36.0
-    2022-01-01 00:06:00    36.0
-    2022-01-01 00:07:00    36.0
-    2022-01-01 00:08:00    36.0
-    2022-01-01 00:09:00    36.0
-     ......
-
-
-
-To filter the data using the position of the data, you can use the iloc
-function. for example for filtering your data from the 6th row to 10th
-row:
-
-.. code:: ipython3
-
-    filtered_rows = plot.iloc(index=slice(6,11))
-    filtered_rows
-
-
-
-
-.. parsed-literal::
-
-                         case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10
-    date
-    2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-    2022-01-01 00:10:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0
-     ......
-
-
-
-Adding new column to the data
------------------------------
-
-In case, you want to add new columns to your data, you can use the
-**add_column** function:
-
-.. code:: ipython3
-
-    # lets take a copy of the current plot object
-
-    copy_plot = plot.copy()
-
-    # lets take a column of the existing data
-    new_data = plot["case 1"]
-
-    # lets change the name of the column assuming that this is a new data
-    new_data.columns = ["new column"]
-
-    copy_plot.add_column(new_data)
-
-    copy_plot
-
-
-
-
-.. parsed-literal::
-
-                         case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10  new column
-    date
-    2022-01-01 00:00:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-    2022-01-01 00:01:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-    2022-01-01 00:02:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-    2022-01-01 00:03:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-    2022-01-01 00:04:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-    2022-01-01 00:05:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-    2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-    2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-    2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-    2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0        36.0
-     ......
-
-
-
-Resampling data
----------------
-
-if you want to represent your data in a different time resolution, you
-need to resample the data. In this case the original data (plot object)
-has a minute time resolution:
-
-.. code:: ipython3
-
-    plot.freq
-
-
-
-
-.. parsed-literal::
-
-    <Minute>
-
-
-
-Let’s assume you want to resample your data to an hourly resolution. To
-do so, you can use **resample** function:
-
-.. code:: ipython3
-
-    hourly_data = plot.resample(
-        freq = "1h", # resampling freqency, similar pd.DataFrame rule
-        rule = "sum", # different options for resampling data like sum, mean, nearest
-        conversion = 60, # resampling data from minute resolution to hour resolution has an assumption of dividing the minute date by 60 minute to sum to hourly data
-    )
-
-Let’s check the resolution now:
-
-.. code:: ipython3
-
-    hourly_data.freq
-
-
-
-
-.. parsed-literal::
-
-    <Hour>
-
-
-
-you can further apply all the Plot functions to the output of this
-resampling. For example, if you want to calculate the weekly consumption
-average based on the hourly data, you can use:
-
-.. code:: ipython3
-
-    weekly = hourly_data.resample(
-        freq = "1w",
-        rule = "mean"
-    )
-
-.. code:: ipython3
-
-    weekly.freq
-
-
-
-
-.. parsed-literal::
-
-    <Week: weekday=6>
-
-
-
-Mean, Sum, and Peak:
---------------------
-
-you can calculate the mean and the sum of all the columns of your ramp
-simulations stored in Plot object using the **mean** and **sum**
-functions:
-
-.. code:: ipython3
-
-    mean = hourly_data.mean()
-    mean
-
-
-
-
-.. parsed-literal::
-
-                              Mean
-    date
-    2022-01-01 00:00:00  36.000000
-    2022-01-01 01:00:00  36.000000
-    2022-01-01 02:00:00  36.000000
-    2022-01-01 03:00:00  36.000000
-    2022-01-01 04:00:00  36.000012
-    2022-01-01 05:00:00  37.000557
-    2022-01-01 06:00:00  36.309570
-    2022-01-01 07:00:00   4.993772
-    2022-01-01 08:00:00   7.977883
-    2022-01-01 09:00:00  19.736763
-     ......
-
-
-
-.. code:: ipython3
-
-    summed = hourly_data.sum()
-    summed
-
-
-
-
-.. parsed-literal::
-
-                                Sum
-    date
-    2022-01-01 00:00:00  360.000000
-    2022-01-01 01:00:00  360.000000
-    2022-01-01 02:00:00  360.000000
-    2022-01-01 03:00:00  360.000000
-    2022-01-01 04:00:00  360.000117
-    2022-01-01 05:00:00  370.005567
-    2022-01-01 06:00:00  363.095700
-    2022-01-01 07:00:00   49.937717
-    2022-01-01 08:00:00   79.778833
-    2022-01-01 09:00:00  197.367633
-     ......
-
-
-
-you can also find the the peak values and correspondoing hours to the
-peak value for each column of your data using the peak property:
-
-.. code:: ipython3
-
-    peak = hourly_data.peak
-
-.. code:: ipython3
-
-    peak
-
-
-
-
-.. parsed-literal::
-
-    {'case 1': date
-     2022-03-15 06:00:00    176.417483
-     Freq: H, Name: case 1, dtype: float64,
-     'case 2': date
-     2022-05-29 06:00:00    162.667033
-     Freq: H, Name: case 2, dtype: float64,
-     'case 3': date
-     2022-07-13 05:00:00    162.667667
-     Freq: H, Name: case 3, dtype: float64,
-     'case 4': date
-     2022-07-14 21:00:00    176.0013
-     Freq: H, Name: case 4, dtype: float64,
-     'case 5': date
-     2022-08-23 21:00:00    147.2522
-     Freq: H, Name: case 5, dtype: float64,
-     'case 6': date
-     2022-03-25 11:00:00    161.6685
-     Freq: H, Name: case 6, dtype: float64,
-     'case 7': date
-     2022-05-13 21:00:00    169.333667
-     Freq: H, Name: case 7, dtype: float64,
-     'case 8': date
-     2022-10-10 06:00:00    169.335567
-     Freq: H, Name: case 8, dtype: float64,
-     'case 9': date
-     2022-12-29 06:00:00    172.666983
-     Freq: H, Name: case 9, dtype: float64,
-     'case 10': date
-     2022-05-30 19:00:00    158.75205
-     Freq: H, Name: case 10, dtype: float64}
-
-
-
-Visualization
--------------
-
-ramp Plot object offers some **easy to use** plotting function for some
-routine visualizatoins. each plotting function allows you to choose the
-plotting engine that can be matplotlib or plotly. the output of the plot
-functions will be a matplotlib or plotly object, so you can customize
-your functions after plotting, with your specific taste and plotting
-style! you can also use the \*\* kwargs to pass plotly or matplotlib
-specific styling features.
-
-line plot
-~~~~~~~~~
-
-with the line plot function, you can choose one or multiple columns of
-your data to plot a simple line plot:
-
-.. code:: ipython3
-
-    # plotting one column using matplotlib engine (default engine)
-    hourly_data.line(columns = "case 1")
-
-
-
-
-.. parsed-literal::
-
-    <Axes: xlabel='date'>
-
-
-
-
-.. image:: output_38_1.png
-
-
-.. code:: ipython3
-
-    # plotting all columns using plotly engine, you can
-    hourly_data.line(engine="plotly",plot_bgcolor="gray",title="My Beautiful Plot <br> :-)")
-
-
-
-.. raw:: html
-
-            <script type="text/javascript">
-            window.PlotlyConfig = {MathJaxConfig: 'local'};
-            if (window.MathJax) {MathJax.Hub.Config({SVG: {font: "STIX-Web"}});}
-            if (typeof require !== 'undefined') {
-            require.undef("plotly");
-            define('plotly', function(require, exports, module) {
-                /**
-    * plotly.js v2.6.3
-    * Copyright 2012-2021, Plotly, Inc.
-    * All rights reserved.
-    * Licensed under the MIT license
-    */
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i=e.geoCentroid({type:"MultiPoint",coordinates:[t,r,n]}),a=[-i[0],-i[1]],o=e.geoRotation(a),s=at(ot(o(t)),ot(o(r)),ot(o(n)));s.invert=H(s);var l=e.geoProjection(s).rotate(a),c=l.center;return delete l.rotate,l.center=function(t){return arguments.length?c(o(t)):o.invert(c())},l.clipAngle(90)}function lt(t,e){var r=L(1-g(e));return[2/T*t*r,T*(1-r)]}function ct(t){var e=m(t);function r(t,r){return[t,(t?t/g(t):1)*(g(r)*o(t)-e*o(r))]}return r.invert=e?function(t,r){t&&(r*=g(t)/t);var n=o(t);return[t,2*a(L(n*n+e*e-r*r)-n,e-r)]}:function(t,e){return[t,S(t?e*m(t)/t:e)]},r}lt.invert=function(t,e){var r=(r=e/T-1)*r;return[r>0?t*L(y/r)/2:0,S(1-r)]};var ut=L(3);function ft(t,e){return[ut*t*(2*o(2*e/3)-1)/T,ut*T*g(e/3)]}function ht(t){var e=o(t);function r(t,r){return[t*e,g(r)/e]}return r.invert=function(t,r){return[t/e,S(r*e)]},r}function pt(t){var e=o(t);function r(t,r){return[t*e,(1+e)*m(r/2)]}return r.invert=function(t,r){return[t/e,2*i(r/(1+e))]},r}function dt(t,e){var r=L(8/(3*y));return[r*t*(1-n(e)/y),r*e]}function gt(t,e){var r=L(4-3*g(n(e)));return[2/L(6*y)*t*r,d(e)*L(2*y/3)*(2-r)]}function mt(t,e){var r=L(y*(4+y));return[2/r*t*(1+L(1-4*e*e/(y*y))),4/r*e]}function vt(t,e){var r=(2+x)*g(e);e/=2;for(var i=0,a=1/0;i<10&&n(a)>v;i++){var s=o(e);e-=a=(e+g(e)*(s+2)-r)/(2*s*(1+s))}return[2/L(y*(4+y))*t*(1+o(e)),2*L(y/(4+y))*g(e)]}function yt(t,e){return[t*(1+o(e))/L(2+y),2*e/L(2+y)]}function xt(t,e){for(var r=(1+x)*g(e),i=0,a=1/0;i<10&&n(a)>v;i++)e-=a=(e+g(e)-r)/(1+o(e));return r=L(2+y),[t*(1+o(e))/r,2*e/r]}ft.invert=function(t,e){var r=3*S(e/(ut*T));return[T*t/(ut*(2*o(2*r/3)-1)),r]},dt.invert=function(t,e){var r=L(8/(3*y)),i=e/r;return[t/(r*(1-n(i)/y)),i]},gt.invert=function(t,e){var r=2-n(e)/L(2*y/3);return[t*L(6*y)/(2*r),d(e)*S((4-r*r)/3)]},mt.invert=function(t,e){var r=L(y*(4+y))/2;return[t*r/(1+L(1-e*e*(4+y)/(4*y))),e*r/2]},vt.invert=function(t,e){var r=e*L((4+y)/y)/2,n=S(r),i=o(n);return[t/(2/L(y*(4+y))*(1+i)),S((n+r*(i+2))/(2+x))]},yt.invert=function(t,e){var r=L(2+y),n=e*r/2;return[r*t/(1+o(n)),n]},xt.invert=function(t,e){var r=1+x,n=L(r/2);return[2*t*n/(1+o(e*=n)),S((e+g(e))/r)]};var bt=3+2*w;function _t(t,e){var r=g(t/=2),n=o(t),a=L(o(e)),s=o(e/=2),l=g(e)/(s+w*n*a),u=L(2/(1+l*l)),f=L((w*s+(n+r)*a)/(w*s+(n-r)*a));return[bt*(u*(f-1/f)-2*c(f)),bt*(u*l*(f+1/f)-2*i(l))]}_t.invert=function(t,e){if(!(r=D.invert(t/1.2,1.065*e)))return null;var r,a=r[0],s=r[1],l=20;t/=bt,e/=bt;do{var 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,H=-w*d*y/(k*U),q=P*N-2*V/C+S*(V+V/E),G=P*j-2*H/C+S*(H+H/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*(H-H/E),X=G*Y-W*q;if(!X)break;var 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b=m*m,_=t+b*(e+b*(r+b*i)),w=m*(a-1+b*(s-c+b*l)),T=_*_+w*w,k=2*w,A=T/k,M=A*A,E=S(_/A)/y,C=d*E,P=_*_,I=(2*e+b*(4*r+6*b*i))*m,O=a+b*(3*s+5*b*l),z=(2*(_*I+w*(O-1))*k-T*(2*(O-1)))/(k*k),D=o(C),R=g(C),F=A*D,B=A*R,N=d/y*(1/L(1-P/M))*(I*A-_*z)/M,j=B-u,U=m*(1+b*c)+A-F-f,V=z*R+F*N,H=F*E,q=1+z-(z*D-B*N),G=B*E,Y=V*G-q*H;if(!Y)break;d-=h=(U*V-j*q)/Y,m-=p=(j*G-U*H)/Y}while((n(h)>v||n(p)>v)&&--x>0);return[d,m]},u}Tt.invert=function(t,e){var r=e/(1+wt);return[t&&t/(wt*L(1-r*r)),2*i(r)]},kt.invert=function(t,e){var r=i(e/T),n=o(r),a=2*r;return[t*T/2/(o(a)*n*n),a]};var It=Pt(2.8284,-1.6988,.75432,-.18071,1.76003,-.38914,.042555);var Ot=Pt(2.583819,-.835827,.170354,-.038094,1.543313,-.411435,.082742);var zt=Pt(5/6*y,-.62636,-.0344,0,1.3493,-.05524,0,.045);function Dt(t,e){var r=t*t,n=e*e;return[t*(1-.162388*n)*(.87-952426e-9*r*r),e*(1+n/12)]}Dt.invert=function(t,e){var r,i=t,a=e,o=50;do{var s=a*a;a-=r=(a*(1+s/12)-e)/(1+s/4)}while(n(r)>v&&--o>0);o=50,t/=1-.162388*s;do{var 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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":209}],213:[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}},{}],214:[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}},{}],215:[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}},{}],216:[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}},{}],217:[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}},{}],218:[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}},{}],219:[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}},{}],220:[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}},{}],221:[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}},{}],222:[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]+")"}},{}],223:[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}},{}],224:[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}},{}],225:[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 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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 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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 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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 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Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"string"!==i&&o.push(new Ct(n+"[1]",r[1],"string expected, "+i+" found"));break;case"within":i=Fr(r[1]),2!==r.length?o.push(new Ct(n,r,'filter array for "'+r[0]+'" operator must have 2 elements')):"object"!==i&&o.push(new Ct(n+"[1]",r[1],"object expected, "+i+" found"))}return o}(t)}function gn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+"_"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if("paint"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property "'+o+'"')];if("string"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.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 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e.push(new Ct(n,r,'missing required property "source"'));return e=e.concat(Qr({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(){return[]},type:function(){return kn({key:n+".type",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:"type"})},filter:dn,layout:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return vn(It({layerType:s},t))}}})},paint:function(t){return Qr({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{"*":function(t){return mn(It({layerType:s},t))}}})}}}))}function xn(t){var e=t.value,r=t.key,n=Fr(e);return"string"!==n?[new Ct(r,e,"string expected, "+n+" found")]:[]}var bn={promoteId:function(t){var e=t.key,r=t.value;if("string"===Fr(r))return xn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,xn({key:e+"."+i,value:r[i]}));return n}};function _n(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Ct(r,e,'"type" is required')];var a,o=Ot(e.type);switch(o){case"vector":case"raster":case"raster-dem":return a=Qr({key:r,value:e,valueSpec:n["source_"+o.replace("-","_")],style:t.style,styleSpec:n,objectElementValidators:bn});case"geojson":if(a=Qr({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:bn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],f="string"==typeof c?[c,["accumulated"],["get",s]]:c;a.push.apply(a,rn({key:r+"."+s+".map",value:u,expressionContext:"cluster-map"})),a.push.apply(a,rn({key:r+"."+s+".reduce",value:f,expressionContext:"cluster-reduce"}))}return a;case"video":return Qr({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case"image":return Qr({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case"canvas":return[new Ct(r,null,"Please use runtime APIs to add canvas sources, rather 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u=0;u<this.d*this.d;u++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Dn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Dn.prototype._insertReadonly=function(){throw"Cannot insert into a GridIndex created from an ArrayBuffer."},Dn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Dn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Dn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var c=this.keys,u=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(u[p+0],u[p+1],u[p+2],u[p+3]):t<=u[p+2]&&e<=u[p+3]&&r>=u[p+0]&&n>=u[p+1])?(o[h]=!0,a.push(c[h])):o[h]=!1}}},Dn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),c=this._convertToCellCoord(e),u=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Dn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Dn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Dn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[3+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Rn=self.ImageData,Fn=self.ImageBitmap,Bn={};function Nn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,"_classRegistryKey",{value:t,writeable:!1}),Bn[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var jn in Nn("Object",Object),zn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},zn.deserialize=function(t){return new 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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 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.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);Hi.prototype.bytesPerElement=12,Nn("StructArrayLayout2i2i2i12",Hi);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.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);qi.prototype.bytesPerElement=16,Nn("StructArrayLayout2f1f2i16",qi);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 this._structArray.uint16[this._pos2+2]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+3]},Object.defineProperties(e.prototype,r),e}(Ci);ua.prototype.size=8;var fa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ua(this,t)},e}(Ki);Nn("FeatureIndexArray",fa);var ha=Ii([{name:"a_pos",components:2,type:"Int16"}],4).members,pa=function(t){void 0===t&&(t=[]),this.segments=t};function da(t,e){return 256*(t=l(Math.floor(t),0,255))+(e=l(Math.floor(e),0,255))}pa.prototype.prepareSegment=function(t,e,r,n){var i=this.segments[this.segments.length-1];return t>pa.MAX_VERTEX_ARRAY_LENGTH&&_("Max vertices per segment is "+pa.MAX_VERTEX_ARRAY_LENGTH+": bucket requested "+t),(!i||i.vertexLength+t>pa.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i},pa.prototype.get=function(){return this.segments},pa.prototype.destroy=function(){for(var t=0,e=this.segments;t<e.length;t+=1){var r=e[t];for(var n in r.vaos)r.vaos[n].destroy()}},pa.simpleSegment=function(t,e,r,n){return new pa([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])},pa.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Nn("SegmentVector",pa);var ga=Ii([{name:"a_pattern_from",components:4,type:"Uint16"},{name:"a_pattern_to",components:4,type:"Uint16"},{name:"a_pixel_ratio_from",components:1,type:"Uint8"},{name:"a_pixel_ratio_to",components:1,type:"Uint8"}]),ma=e((function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}})),va=e((function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}})),ya=ma,xa=ma,ba=va;ya.murmur3=xa,ya.murmur2=ba;var _a=function(){this.ids=[],this.positions=[],this.indexed=!1};_a.prototype.add=function(t,e,r,n){this.ids.push(Ta(t)),this.positions.push(e,r,n)},_a.prototype.getPositions=function(t){for(var e=Ta(t),r=0,n=this.ids.length-1;r<n;){var i=r+n>>1;this.ids[i]>=e?n=i:r=i+1}for(var a=[];this.ids[r]===e;){var o=this.positions[3*r],s=this.positions[3*r+1],l=this.positions[3*r+2];a.push({index:o,start:s,end:l}),r++}return a},_a.serialize=function(t,e){var r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return function t(e,r,n,i){for(;n<i;){for(var a=e[n+i>>1],o=n-1,s=i+1;;){do{o++}while(e[o]<a);do{s--}while(e[s]>a);if(o>=s)break;ka(e,o,s),ka(r,3*o,3*s),ka(r,3*o+1,3*s+1),ka(r,3*o+2,3*s+2)}s-n<i-s?(t(e,r,n,s),n=s+1):(t(e,r,s+1,i),i=s)}}(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}},_a.deserialize=function(t){var e=new _a;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e};var wa=Math.pow(2,53)-1;function Ta(t){var e=+t;return!isNaN(e)&&e<=wa?e:ya(String(t))}function ka(t,e,r){var n=t[e];t[e]=t[r],t[r]=n}Nn("FeaturePositionMap",_a);var Aa=function(t,e){this.gl=t.gl,this.location=e},Ma=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1i(this.location,t))},e}(Aa),Sa=function(t){function e(e,r){t.call(this,e,r),this.current=0}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))},e}(Aa),Ea=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]||(this.current=t,this.gl.uniform2f(this.location,t[0],t[1]))},e}(Aa),La=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]||(this.current=t,this.gl.uniform3f(this.location,t[0],t[1],t[2]))},e}(Aa),Ca=function(t){function e(e,r){t.call(this,e,r),this.current=[0,0,0,0]}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))},e}(Aa),Pa=function(t){function e(e,r){t.call(this,e,r),this.current=te.transparent}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))},e}(Aa),Ia=new Float32Array(16),Oa=function(t){function e(e,r){t.call(this,e,r),this.current=Ia}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t[12]!==this.current[12]||t[0]!==this.current[0])return this.current=t,void this.gl.uniformMatrix4fv(this.location,!1,t);for(var e=1;e<16;e++)if(t[e]!==this.current[e]){this.current=t,this.gl.uniformMatrix4fv(this.location,!1,t);break}},e}(Aa);function za(t){return[da(255*t.r,255*t.g),da(255*t.b,255*t.a)]}var Da=function(t,e,r){this.value=t,this.uniformNames=e.map((function(t){return"u_"+t})),this.type=r};Da.prototype.setUniform=function(t,e,r){t.set(r.constantOr(this.value))},Da.prototype.getBinding=function(t,e,r){return"color"===this.type?new Pa(t,e):new Sa(t,e)};var Ra=function(t,e){this.uniformNames=e.map((function(t){return"u_"+t})),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1};Ra.prototype.setConstantPatternPositions=function(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr},Ra.prototype.setUniform=function(t,e,r,n){var i="u_pattern_to"===n?this.patternTo:"u_pattern_from"===n?this.patternFrom:"u_pixel_ratio_to"===n?this.pixelRatioTo:"u_pixel_ratio_from"===n?this.pixelRatioFrom:null;i&&t.set(i)},Ra.prototype.getBinding=function(t,e,r){return"u_pattern"===r.substr(0,9)?new Ca(t,e):new Sa(t,e)};var Fa=function(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?2:1,offset:0}})),this.paintVertexArray=new n};Fa.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.paintVertexArray.length,o=this.expression.evaluate(new pi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Fa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Fa.prototype._setPaintValue=function(t,e,r){if("color"===this.type)for(var n=za(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Fa.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Fa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var Ba=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return"u_"+t+"_t"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:"a_"+t,type:"Float32",components:"color"===r?4:2,offset:0}})),this.paintVertexArray=new a};Ba.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new pi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new pi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},Ba.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},Ba.prototype._setPaintValue=function(t,e,r,n){if("color"===this.type)for(var i=za(r),a=za(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},Ba.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},Ba.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},Ba.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=l(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},Ba.prototype.getBinding=function(t,e,r){return new Sa(t,e)};var Na=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};Na.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},Na.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},Na.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},Na.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,ga.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,ga.members,this.expression.isStateDependent))},Na.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var ja=function(t,e,r,n){this.binders={},this.layoutAttributes=n,this._buffers=[];var i=[];for(var a in 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=Ha(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=Ha(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 Ha(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 i&&i[r]||n[e][r]}Ua.prototype.populatePaintArrays=function(t,e,r,n,i,a){for(var o in this.programConfigurations)this.programConfigurations[o].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0},Ua.prototype.updatePaintArrays=function(t,e,r,n){for(var i=0,a=r;i<a.length;i+=1){var o=a[i];this.needsUpload=this.programConfigurations[o.id].updatePaintArrays(t,this._featureMap,e,o,n)||this.needsUpload}},Ua.prototype.get=function(t){return this.programConfigurations[t]},Ua.prototype.upload=function(t){if(this.needsUpload){for(var e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}},Ua.prototype.destroy=function(){for(var t in this.programConfigurations)this.programConfigurations[t].destroy()},Nn("ConstantBinder",Da),Nn("CrossFadedConstantBinder",Ra),Nn("SourceExpressionBinder",Fa),Nn("CrossFadedCompositeBinder",Na),Nn("CompositeExpressionBinder",Ba),Nn("ProgramConfiguration",ja,{omit:["_buffers"]}),Nn("ProgramConfigurationSet",Ua);var qa,Ga=(qa=15,{min:-1*Math.pow(2,qa-1),max:Math.pow(2,qa-1)-1});function Ya(t){for(var e=8192/t.extent,r=t.loadGeometry(),n=0;n<r.length;n++)for(var i=r[n],a=0;a<i.length;a++){var o=i[a];o.x=Math.round(o.x*e),o.y=Math.round(o.y*e),(o.x<Ga.min||o.x>Ga.max||o.y<Ga.min||o.y>Ga.max)&&(_("Geometry exceeds allowed extent, reduce your vector tile buffer size"),o.x=l(o.x,Ga.min,Ga.max),o.y=l(o.y,Ga.min,Ga.max))}return r}function Wa(t,e,r,n,i){t.emplaceBack(2*e+(n+1)/2,2*r+(i+1)/2)}var Xa=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 zi,this.indexArray=new Yi,this.segments=new pa,this.programConfigurations=new Ua(ha,t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Za(t,e){for(var r=0;r<t.length;r++)if(io(e,t[r]))return!0;for(var n=0;n<e.length;n++)if(io(t,e[n]))return!0;return!!$a(t,e)}function Ja(t,e,r){return!!io(t,e)||!!eo(e,t,r)}function Ka(t,e){if(1===t.length)return no(e,t[0]);for(var r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++)if(io(t,n[i]))return!0;for(var a=0;a<t.length;a++)if(no(e,t[a]))return!0;for(var o=0;o<e.length;o++)if($a(t,e[o]))return!0;return!1}function Qa(t,e,r){if(t.length>1){if($a(t,e))return!0;for(var n=0;n<e.length;n++)if(eo(e[n],t,r))return!0}for(var i=0;i<t.length;i++)if(eo(t[i],e,r))return!0;return!1}function $a(t,e){if(0===t.length||0===e.length)return!1;for(var r=0;r<t.length-1;r++)for(var n=t[r],i=t[r+1],a=0;a<e.length-1;a++){if(to(n,i,e[a],e[a+1]))return!0}return!1}function to(t,e,r,n){return w(t,r,n)!==w(e,r,n)&&w(t,e,r)!==w(t,e,n)}function eo(t,e,r){var n=r*r;if(1===e.length)return t.distSqr(e[0])<n;for(var i=1;i<e.length;i++){if(ro(t,e[i-1],e[i])<n)return!0}return!1}function ro(t,e,r){var n=e.distSqr(r);if(0===n)return t.distSqr(e);var i=((t.x-e.x)*(r.x-e.x)+(t.y-e.y)*(r.y-e.y))/n;return i<0?t.distSqr(e):i>1?t.distSqr(r):t.distSqr(r.sub(e)._mult(i)._add(e))}function no(t,e){for(var r,n,i,a=!1,o=0;o<t.length;o++)for(var s=0,l=(r=t[o]).length-1;s<r.length;l=s++)n=r[s],i=r[l],n.y>e.y!=i.y>e.y&&e.x<(i.x-n.x)*(e.y-n.y)/(i.y-n.y)+n.x&&(a=!a);return a}function io(t,e){for(var r=!1,n=0,i=t.length-1;n<t.length;i=n++){var a=t[n],o=t[i];a.y>e.y!=o.y>e.y&&e.x<(o.x-a.x)*(e.y-a.y)/(o.y-a.y)+a.x&&(r=!r)}return r}function ao(t,e,r){var n=r[0],i=r[2];if(t.x<n.x&&e.x<n.x||t.x>i.x&&e.x>i.x||t.y<n.y&&e.y<n.y||t.y>i.y&&e.y>i.y)return!1;var a=w(t,e,r[0]);return a!==w(t,e,r[1])||a!==w(t,e,r[2])||a!==w(t,e,r[3])}function oo(t,e,r){var n=e.paint.get(t).value;return"constant"===n.kind?n.value:r.programConfigurations.get(e.id).getMaxValue(t)}function so(t){return Math.sqrt(t[0]*t[0]+t[1]*t[1])}function lo(t,e,r,n,a){if(!e[0]&&!e[1])return t;var o=i.convert(e)._mult(a);"viewport"===r&&o._rotate(-n);for(var s=[],l=0;l<t.length;l++){var c=t[l];s.push(c.sub(o))}return s}Xa.prototype.populate=function(t,e,r){var n=this.layers[0],i=[],a=null;"circle"===n.type&&(a=n.layout.get("circle-sort-key"));for(var o=0,s=t;o<s.length;o+=1){var l=s[o],c=l.feature,u=l.id,f=l.index,h=l.sourceLayerIndex,p=this.layers[0]._featureFilter.needGeometry,d={type:c.type,id:u,properties:c.properties,geometry:p?Ya(c):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),d,r)){p||(d.geometry=Ya(c));var g=a?a.evaluate(d,{},r):void 0,m={id:u,properties:c.properties,type:c.type,sourceLayerIndex:h,index:f,geometry:d.geometry,patterns:{},sortKey:g};i.push(m)}}a&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=x,_=b.geometry,w=b.index,T=b.sourceLayerIndex,k=t[w].feature;this.addFeature(x,_,w,r),e.featureIndex.insert(k,_,w,T,this.index)}},Xa.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Xa.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Xa.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Xa.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ha),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Xa.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Xa.prototype.addFeature=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1)for(var o=0,s=a[i];o<s.length;o+=1){var l=s[o],c=l.x,u=l.y;if(!(c<0||c>=8192||u<0||u>=8192)){var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),h=f.vertexLength;Wa(this.layoutVertexArray,c,u,-1,-1),Wa(this.layoutVertexArray,c,u,1,-1),Wa(this.layoutVertexArray,c,u,1,1),Wa(this.layoutVertexArray,c,u,-1,1),this.indexArray.emplaceBack(h,h+1,h+2),this.indexArray.emplaceBack(h,h+3,h+2),f.vertexLength+=4,f.primitiveLength+=2}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)},Nn("CircleBucket",Xa,{omit:["layers"]});var co=new Si({"circle-sort-key":new Ti(Lt.layout_circle["circle-sort-key"])}),uo={paint:new Si({"circle-radius":new Ti(Lt.paint_circle["circle-radius"]),"circle-color":new Ti(Lt.paint_circle["circle-color"]),"circle-blur":new Ti(Lt.paint_circle["circle-blur"]),"circle-opacity":new Ti(Lt.paint_circle["circle-opacity"]),"circle-translate":new wi(Lt.paint_circle["circle-translate"]),"circle-translate-anchor":new wi(Lt.paint_circle["circle-translate-anchor"]),"circle-pitch-scale":new 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c=e[s]*r,u=s<l-1?e[s+1]*r:t.length;o-=Math.abs(ls(t,c,u,r))}var f=0;for(s=0;s<n.length;s+=3){var h=n[s]*r,p=n[s+1]*r,d=n[s+2]*r;f+=Math.abs((t[h]-t[d])*(t[p+1]-t[h+1])-(t[h]-t[p])*(t[d+1]-t[h+1]))}return 0===o&&0===f?0:Math.abs((f-o)/o)},Fo.flatten=function(t){for(var e=t[0][0].length,r={vertices:[],holes:[],dimensions:e},n=0,i=0;i<t.length;i++){for(var a=0;a<t[i].length;a++)for(var o=0;o<e;o++)r.vertices.push(t[i][a][o]);i>0&&(n+=t[i-1].length,r.holes.push(n))}return r},Do.default=Ro;var ms=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 zi,this.indexArray=new Yi,this.indexArray2=new Qi,this.programConfigurations=new Ua(zo,t.layers,t.zoom),this.segments=new pa,this.segments2=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ms.prototype.populate=function(t,e,r){this.hasPattern=ds("fill",this.layers,e);for(var n=this.layers[0].layout.get("fill-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,e.availableImages):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("fill",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)}},ms.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ms.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)}},ms.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ms.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ms.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,zo),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.indexBuffer2=t.createIndexBuffer(this.indexArray2)),this.programConfigurations.upload(t),this.uploaded=!0},ms.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.indexBuffer2.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.segments2.destroy())},ms.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(l,this.layoutVertexArray,this.indexArray),h=f.vertexLength,p=[],d=[],g=0,m=s;g<m.length;g+=1){var v=m[g];if(0!==v.length){v!==s[0]&&d.push(p.length/2);var y=this.segments2.prepareSegment(v.length,this.layoutVertexArray,this.indexArray2),x=y.vertexLength;this.layoutVertexArray.emplaceBack(v[0].x,v[0].y),this.indexArray2.emplaceBack(x+v.length-1,x),p.push(v[0].x),p.push(v[0].y);for(var b=1;b<v.length;b++)this.layoutVertexArray.emplaceBack(v[b].x,v[b].y),this.indexArray2.emplaceBack(x+b-1,x+b),p.push(v[b].x),p.push(v[b].y);y.vertexLength+=v.length,y.primitiveLength+=v.length}}for(var _=Do(p,d),w=0;w<_.length;w+=3)this.indexArray.emplaceBack(h+_[w],h+_[w+1],h+_[w+2]);f.vertexLength+=l,f.primitiveLength+=_.length/3}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn("FillBucket",ms,{omit:["layers","patternFeatures"]});var vs=new Si({"fill-sort-key":new Ti(Lt.layout_fill["fill-sort-key"])}),ys={paint:new Si({"fill-antialias":new wi(Lt.paint_fill["fill-antialias"]),"fill-opacity":new Ti(Lt.paint_fill["fill-opacity"]),"fill-color":new Ti(Lt.paint_fill["fill-color"]),"fill-outline-color":new Ti(Lt.paint_fill["fill-outline-color"]),"fill-translate":new wi(Lt.paint_fill["fill-translate"]),"fill-translate-anchor":new wi(Lt.paint_fill["fill-translate-anchor"]),"fill-pattern":new ki(Lt.paint_fill["fill-pattern"])}),layout:vs},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.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r);var n=this.paint._values["fill-outline-color"];"constant"===n.value.kind&&void 0===n.value.value&&(this.paint._values["fill-outline-color"]=this.paint._values["fill-color"])},e.prototype.createBucket=function(t){return new ms(t)},e.prototype.queryRadius=function(){return so(this.paint.get("fill-translate"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,a,o){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 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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 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a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.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},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.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)},qs.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 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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}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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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 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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 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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],H=V&&V[L];if(!H)continue;P=H.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 q=h-c;d=Math.max(q,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 r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&zl[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},Il.prototype.substring=function(t,e){var r=new Il;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},Il.prototype.toString=function(){return this.text},Il.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},Il.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(Pl.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},Il.prototype.addImageSection=function(t){var e=t.image?t.image.name:"";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(Pl.forImage(e)),this.sectionIndex.push(this.sections.length-1)):_("Reached maximum number of images 6401")}else _("Can't add FormattedSection with an empty image.")},Il.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var zl={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},Dl={};function Rl(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*24/a+i:0}var s=r[e.fontStack],l=s&&s[t];return l?l.metrics.advance*e.scale+i:0}function Fl(t,e,r,n){var i=Math.pow(t-e,2);return n?t<e?i/2:2*i:i+Math.abs(r)*r}function Bl(t,e,r){var n=0;return 10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function Nl(t,e,r,n,i,a){for(var o=null,s=Fl(e,r,i,a),l=0,c=n;l<c.length;l+=1){var u=c[l],f=Fl(e-u.x,r,i,a)+u.badness;f<=s&&(o=u,s=f)}return{index:t,x:e,priorBreak:o,badness:s}}function jl(t,e,r,n,i,a,o){if("point"!==a)return[];if(!t)return[];for(var s,l=[],c=function(t,e,r,n,i,a){for(var o=0,s=0;s<t.length();s++){var l=t.getSection(s);o+=Rl(t.getCharCode(s),l,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,o),u=t.text.indexOf("\u200b")>=0,f=0,h=0;h<t.length();h++){var p=t.getSection(h),d=t.getCharCode(h);if(zl[d]||(f+=Rl(d,p,n,i,e,o)),h<t.length()-1){var g=!!(!((s=d)<11904)&&(Yn["Bopomofo Extended"](s)||Yn.Bopomofo(s)||Yn["CJK Compatibility Forms"](s)||Yn["CJK Compatibility Ideographs"](s)||Yn["CJK Compatibility"](s)||Yn["CJK Radicals Supplement"](s)||Yn["CJK Strokes"](s)||Yn["CJK Symbols and Punctuation"](s)||Yn["CJK Unified Ideographs Extension A"](s)||Yn["CJK Unified Ideographs"](s)||Yn["Enclosed CJK Letters and Months"](s)||Yn["Halfwidth and Fullwidth Forms"](s)||Yn.Hiragana(s)||Yn["Ideographic Description Characters"](s)||Yn["Kangxi Radicals"](s)||Yn["Katakana Phonetic Extensions"](s)||Yn.Katakana(s)||Yn["Vertical Forms"](s)||Yn["Yi Radicals"](s)||Yn["Yi Syllables"](s)));(Dl[d]||g||p.imageName)&&l.push(Nl(h+1,f,c,l,Bl(d,t.getCharCode(h+1),g&&u),!1))}}return function t(e){return e?t(e.priorBreak).concat(e.index):[]}(Nl(t.length(),f,c,l,0,!0))}function Ul(t){var e=.5,r=.5;switch(t){case"right":case"top-right":case"bottom-right":e=1;break;case"left":case"top-left":case"bottom-left":e=0}switch(t){case"bottom":case"bottom-right":case"bottom-left":r=1;break;case"top":case"top-right":case"top-left":r=0}return{horizontalAlign:e,verticalAlign:r}}function Vl(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Hl(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,c=s.pixelRatio||1;o=[l[0]/c,l[1]/c,s.displaySize[0]-l[2]/c,s.displaySize[1]-l[3]/c]}var u,f,h,p,d=e.left*a,g=e.right*a;"width"===r||"both"===r?(p=i[0]+d-n[3],f=i[0]+g+n[1]):f=(p=i[0]+(d+g-s.displaySize[0])/2)+s.displaySize[0];var m=e.top*a,v=e.bottom*a;return"height"===r||"both"===r?(u=i[1]+m-n[0],h=i[1]+v+n[2]):h=(u=i[1]+(m+v-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:u,right:f,bottom:h,left:p,collisionPadding:o}}Dl[10]=!0,Dl[32]=!0,Dl[38]=!0,Dl[40]=!0,Dl[41]=!0,Dl[43]=!0,Dl[45]=!0,Dl[47]=!0,Dl[173]=!0,Dl[183]=!0,Dl[8203]=!0,Dl[8208]=!0,Dl[8211]=!0,Dl[8231]=!0;var ql=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new e(this.x,this.y,this.angle,this.segment)},e}(i);Nn("Anchor",ql);function Gl(t,e){var r=e.expression;if("constant"===r.kind)return{kind:"constant",layoutSize:r.evaluate(new pi(t+1))};if("source"===r.kind)return{kind:"source"};for(var n=r.zoomStops,i=r.interpolationType,a=0;a<n.length&&n[a]<=t;)a++;for(var o=a=Math.max(0,a-1);o<n.length&&n[o]<t+1;)o++;o=Math.min(n.length-1,o);var s=n[a],l=n[o];return"composite"===r.kind?{kind:"composite",minZoom:s,maxZoom:l,interpolationType:i}:{kind:"camera",minZoom:s,maxZoom:l,minSize:r.evaluate(new pi(s)),maxSize:r.evaluate(new pi(l)),interpolationType:i}}function Yl(t,e,r){var n=e.uSize,i=e.uSizeT,a=r.lowerSize,o=r.upperSize;return"source"===t.kind?a/128:"composite"===t.kind?qe(a/128,o/128,i):n}function Wl(t,e){var r=0,n=0;if("constant"===t.kind)n=t.layoutSize;else if("source"!==t.kind){var i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?l(or.interpolationFactor(i,e,a,o),0,1):0;"camera"===t.kind?n=qe(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Xl=Object.freeze({__proto__:null,getSizeData:Gl,evaluateSizeForFeature:Yl,evaluateSizeForZoom:Wl,SIZE_PACK_FACTOR:128});function Zl(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],c=0;s<r/2;){var u=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=u.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),c+=p;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=f.dist(h)}return!0}function Jl(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Kl(t,e,r){return t?.6*e*r:0}function Ql(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function $l(t,e,r,n,i,a){for(var o=Kl(r,i,a),s=Ql(r,n)*a,l=0,c=Jl(t)/2,u=0;u<t.length-1;u++){var f=t[u],h=t[u+1],p=f.dist(h);if(l+p>c){var d=(c-l)/p,g=qe(f.x,h.x,d),m=qe(f.y,h.y,d),v=new ql(g,m,h.angleTo(f),u);return v._round(),!o||Zl(t,v,s,o,e)?v:void 0}l+=p}}function tc(t,e,r,n,i,a,o,s,l){var c=Kl(n,a,o),u=Ql(n,i),f=u*o,h=0===t[0].x||t[0].x===l||0===t[0].y||t[0].y===l;return e-f<e/4&&(e=f+e/4),function t(e,r,n,i,a,o,s,l,c){for(var u=o/2,f=Jl(e),h=0,p=r-n,d=[],g=0;g<e.length-1;g++){for(var m=e[g],v=e[g+1],y=m.dist(v),x=v.angleTo(m);p+n<h+y;){var b=((p+=n)-h)/y,_=qe(m.x,v.x,b),w=qe(m.y,v.y,b);if(_>=0&&_<c&&w>=0&&w<c&&p-u>=0&&p+u<=f){var T=new ql(_,w,x,g);T._round(),i&&!Zl(e,T,o,i,a)||d.push(T)}}h+=y}l||d.length||s||(d=t(e,h/2,n,i,a,o,s,!0,c));return d}(t,h?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,f,h,!1,l)}function ec(t,e,r,n,a){for(var o=[],s=0;s<t.length;s++)for(var l=t[s],c=void 0,u=0;u<l.length-1;u++){var f=l[u],h=l[u+1];f.x<e&&h.x<e||(f.x<e?f=new i(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round():h.x<e&&(h=new i(e,f.y+(h.y-f.y)*((e-f.x)/(h.x-f.x)))._round()),f.y<r&&h.y<r||(f.y<r?f=new i(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round():h.y<r&&(h=new i(f.x+(h.x-f.x)*((r-f.y)/(h.y-f.y)),r)._round()),f.x>=n&&h.x>=n||(f.x>=n?f=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round():h.x>=n&&(h=new i(n,f.y+(h.y-f.y)*((n-f.x)/(h.x-f.x)))._round()),f.y>=a&&h.y>=a||(f.y>=a?f=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round():h.y>=a&&(h=new i(f.x+(h.x-f.x)*((a-f.y)/(h.y-f.y)),a)._round()),c&&f.equals(c[c.length-1])||(c=[f],o.push(c)),c.push(h)))))}return o}function rc(t,e,r,n){var a=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2,c=o.paddedRect.h-2,u=t.right-t.left,f=t.bottom-t.top,h=o.stretchX||[[0,l]],p=o.stretchY||[[0,c]],d=function(t,e){return t+e[1]-e[0]},g=h.reduce(d,0),m=p.reduce(d,0),v=l-g,y=c-m,x=0,b=g,_=0,w=m,T=0,k=v,A=0,M=y;if(o.content&&n){var S=o.content;x=nc(h,0,S[0]),_=nc(p,0,S[1]),b=nc(h,S[0],S[2]),w=nc(p,S[1],S[3]),T=S[0]-x,A=S[1]-_,k=S[2]-S[0]-b,M=S[3]-S[1]-w}var E=function(n,a,l,c){var h=ac(n.stretch-x,b,u,t.left),p=oc(n.fixed-T,k,n.stretch,g),d=ac(a.stretch-_,w,f,t.top),v=oc(a.fixed-A,M,a.stretch,m),y=ac(l.stretch-x,b,u,t.left),S=oc(l.fixed-T,k,l.stretch,g),E=ac(c.stretch-_,w,f,t.top),L=oc(c.fixed-A,M,c.stretch,m),C=new i(h,d),P=new i(y,d),I=new i(y,E),O=new i(h,E),z=new i(p/s,v/s),D=new i(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),O._matMult(N),I._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=a.stretch+a.fixed,H=c.stretch+c.fixed;return{tl:C,tr:P,bl:O,br:I,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:z,pixelOffsetBR:D,minFontScaleX:k/s/u,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=ic(h,v,g),C=ic(p,y,m),P=0;P<L.length-1;P++)for(var I=L[P],O=L[P+1],z=0;z<C.length-1;z++){var D=C[z],R=C[z+1];a.push(E(I,D,O,R))}else a.push(E({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return a}function nc(t,e,r){for(var n=0,i=0,a=t;i<a.length;i+=1){var o=a[i];n+=Math.max(e,Math.min(r,o[1]))-Math.max(e,Math.min(r,o[0]))}return n}function ic(t,e,r){for(var n=[{fixed:-1,stretch:0}],i=0,a=t;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=n[n.length-1];n.push({fixed:s-c.stretch,stretch:c.stretch}),n.push({fixed:s-c.stretch,stretch:c.stretch+(l-s)})}return n.push({fixed:e+1,stretch:r}),n}function ac(t,e,r,n){return t/e*r+n}function oc(t,e,r,n){return t-e*r/n}var sc=function(t,e,r,n,a,o,s,l,c,u){if(this.boxStartIndex=t.length,c){var f=o.top,h=o.bottom,p=o.collisionPadding;p&&(f-=p[1],h+=p[3]);var d=h-f;d>0&&(d=Math.max(10,d),this.circleDiameter=d)}else{var g=o.top*s-l,m=o.bottom*s+l,v=o.left*s-l,y=o.right*s+l,x=o.collisionPadding;if(x&&(v-=x[0]*s,g-=x[1]*s,y+=x[2]*s,m+=x[3]*s),u){var b=new i(v,g),_=new i(y,g),w=new i(v,m),T=new i(y,m),k=u*Math.PI/180;b._rotate(k),_._rotate(k),w._rotate(k),T._rotate(k),v=Math.min(b.x,_.x,w.x,T.x),y=Math.max(b.x,_.x,w.x,T.x),g=Math.min(b.y,_.y,w.y,T.y),m=Math.max(b.y,_.y,w.y,T.y)}t.emplaceBack(e.x,e.y,v,g,y,m,r,n,a)}this.boxEndIndex=t.length},lc=function(t,e){if(void 0===t&&(t=[]),void 0===e&&(e=cc),this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(var r=(this.length>>1)-1;r>=0;r--)this._down(r)};function cc(t,e){return t<e?-1:t>e?1:0}function uc(t,e,r){void 0===e&&(e=1),void 0===r&&(r=!1);for(var n=1/0,a=1/0,o=-1/0,s=-1/0,l=t[0],c=0;c<l.length;c++){var u=l[c];(!c||u.x<n)&&(n=u.x),(!c||u.y<a)&&(a=u.y),(!c||u.x>o)&&(o=u.x),(!c||u.y>s)&&(s=u.y)}var f=o-n,h=s-a,p=Math.min(f,h),d=p/2,g=new lc([],fc);if(0===p)return new i(n,a);for(var m=n;m<o;m+=p)for(var v=a;v<s;v+=p)g.push(new hc(m+d,v+d,d,t));for(var y=function(t){for(var e=0,r=0,n=0,i=t[0],a=0,o=i.length,s=o-1;a<o;s=a++){var l=i[a],c=i[s],u=l.x*c.y-c.x*l.y;r+=(l.x+c.x)*u,n+=(l.y+c.y)*u,e+=3*u}return new hc(r/e,n/e,0,t)}(t),x=g.length;g.length;){var b=g.pop();(b.d>y.d||!y.d)&&(y=b,r&&console.log("found best %d after %d probes",Math.round(1e4*b.d)/1e4,x)),b.max-y.d<=e||(d=b.h/2,g.push(new hc(b.p.x-d,b.p.y-d,d,t)),g.push(new hc(b.p.x+d,b.p.y-d,d,t)),g.push(new hc(b.p.x-d,b.p.y+d,d,t)),g.push(new hc(b.p.x+d,b.p.y+d,d,t)),x+=4)}return r&&(console.log("num probes: "+x),console.log("best distance: "+y.d)),y.p}function fc(t,e){return e.max-t.max}function hc(t,e,r,n){this.p=new i(t,e),this.h=r,this.d=function(t,e){for(var r=!1,n=1/0,i=0;i<e.length;i++)for(var a=e[i],o=0,s=a.length,l=s-1;o<s;l=o++){var c=a[o],u=a[l];c.y>t.y!=u.y>t.y&&t.x<(u.x-c.x)*(t.y-c.y)/(u.y-c.y)+c.x&&(r=!r),n=Math.min(n,ro(t,c,u))}return(r?1:-1)*Math.sqrt(n)}(this.p,n),this.max=this.d+this.h*Math.SQRT2}lc.prototype.push=function(t){this.data.push(t),this.length++,this._up(this.length-1)},lc.prototype.pop=function(){if(0!==this.length){var t=this.data[0],e=this.data.pop();return this.length--,this.length>0&&(this.data[0]=e,this._down(0)),t}},lc.prototype.peek=function(){return this.data[0]},lc.prototype._up=function(t){for(var e=this.data,r=this.compare,n=e[t];t>0;){var i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n},lc.prototype._down=function(t){for(var e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var 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),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,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(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$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 Hc=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()})};Hc.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))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=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 Hc(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]}qc.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:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:"<cancel>",targetMapId:n,sourceMapId:a.mapId})}}},qc.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)},qc.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)}},qc.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(qn(e.error)):n(null,qn(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?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(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)}},qc.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 gu=self.performance,mu=function(t){this._marks={start:[t.url,"start"].join("#"),end:[t.url,"end"].join("#"),measure:t.url.toString()},gu.mark(this._marks.start)};mu.prototype.finish=function(){gu.mark(this._marks.end);var t=gu.getEntriesByName(this._marks.measure);return 0===t.length&&(gu.measure(this._marks.measure,this._marks.start,this._marks.end),t=gu.getEntriesByName(this._marks.measure),gu.clearMarks(this._marks.start),gu.clearMarks(this._marks.end),gu.clearMeasures(this._marks.measure)),t},t.Actor=qc,t.AlphaImage=So,t.CanonicalTileID=eu,t.CollisionBoxArray=na,t.Color=te,t.DEMData=au,t.DataConstantProperty=wi,t.DictionaryCoder=ou,t.EXTENT=8192,t.ErrorEvent=St,t.EvaluationParameters=pi,t.Event=Mt,t.Evented=Et,t.FeatureIndex=uu,t.FillBucket=ms,t.FillExtrusionBucket=Os,t.ImageAtlas=Ll,t.ImagePosition=Sl,t.LineBucket=qs,t.LngLat=Wc,t.LngLatBounds=Yc,t.MercatorCoordinate=tu,t.ONE_EM=24,t.OverscaledTileID=nu,t.Point=i,t.Point$1=i,t.Properties=Si,t.Protobuf=al,t.RGBAImage=Eo,t.RequestManager=H,t.RequestPerformance=mu,t.ResourceType=dt,t.SegmentVector=pa,t.SourceFeatureState=cu,t.StructArrayLayout1ui2=$i,t.StructArrayLayout2f1f2i16=qi,t.StructArrayLayout2i4=zi,t.StructArrayLayout3ui6=Yi,t.StructArrayLayout4i8=Di,t.SymbolBucket=Mc,t.Texture=Vc,t.Tile=du,t.Transitionable=mi,t.Uniform1f=Sa,t.Uniform1i=Ma,t.Uniform2f=Ea,t.Uniform3f=La,t.Uniform4f=Ca,t.UniformColor=Pa,t.UniformMatrix4f=Oa,t.UnwrappedTileID=ru,t.ValidationError=Ct,t.WritingMode=Cl,t.ZoomHistory=Gn,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=wc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=o,t.bindAll=g,t.browser=R,t.cacheEntryPossiblyAdded=function(t){++ht>ot&&(t.getActor().send("enforceCacheSizeLimit",at),ht=0)},t.clamp=l,t.clearTileCache=function(t){var e=self.caches.delete("mapbox-tiles");t&&e.catch(t).then((function(){return t()}))},t.clipLine=ec,t.clone=function(t){var e=new fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=x,t.clone$2=function(t){var e=new fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=tl,t.config=F,t.create=function(){var t=new fo(16);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new fo(9);return fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new fo(4);return fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=Wr,t.createLayout=Ii,t.createStyleLayer=function(t){return"custom"===t.type?new Dc(t):new Rc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if("object"==typeof e&&null!==e&&null!==r){if("object"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return e===r},t.dot=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]},t.dot$1=function(t,e){return t[0]*e[0]+t[1]*e[1]+t[2]*e[2]+t[3]*e[3]},t.ease=s,t.emitValidationErrors=On,t.endsWith=m,t.enforceCacheSizeLimit=function(t){st(),Q&&Q.then((function(e){e.keys().then((function(r){for(var n=0;n<r.length-t;n++)e.delete(r[n])}))}))},t.evaluateSizeForFeature=Yl,t.evaluateSizeForZoom=Wl,t.evaluateVariableOffset=dc,t.evented=ci,t.extend=u,t.featureFilter=sn,t.filterObject=y,t.fromRotation=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1,t},t.getAnchorAlignment=Ul,t.getAnchorJustification=gc,t.getArrayBuffer=xt,t.getImage=Tt,t.getJSON=function(t,e){return yt(u(t,{type:"json"}),e)},t.getRTLTextPluginStatus=ui,t.getReferrer=mt,t.getVideo=function(t,e){var r,n,i=self.document.createElement("video");i.muted=!0,i.onloadstart=function(){e(null,i)};for(var a=0;a<t.length;a++){var o=self.document.createElement("source");r=t[a],n=void 0,(n=self.document.createElement("a")).href=r,(n.protocol!==self.document.location.protocol||n.host!==self.document.location.host)&&(i.crossOrigin="Anonymous"),o.src=t[a],i.appendChild(o)}return{cancel:function(){}}},t.identity=ho,t.invert=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;return C?(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):null},t.isChar=Yn,t.isMapboxURL=q,t.keysDifference=function(t,e){var r=[];for(var n in t)n in e||r.push(n);return 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=qe,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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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 vt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function yt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,xt(o,t[s],a,i);var l=t[s].minX,c=t[s].minY,u=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),c<o.minY&&(o.minY=c),u>o.maxX&&(o.maxX=u),f>o.maxY&&(o.maxY=f)}return o}function xt(t,e,r,n){var i=e.geometry,a=e.type,o=[];if("Point"===a||"MultiPoint"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if("LineString"===a)bt(o,i,t,r,!1,!1);else if("MultiLineString"===a||"Polygon"===a)for(s=0;s<i.length;s++)bt(o,i[s],t,r,"Polygon"===a,0===s);else if("MultiPolygon"===a)for(var l=0;l<i.length;l++){var c=i[l];for(s=0;s<c.length;s++)bt(o,c[s],t,r,!0,0===s)}if(o.length){var u=e.tags||null;if("LineString"===a&&n.lineMetrics){for(var f in 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(H(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?q(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?q(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 object."))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var At=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:kt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name "'+t+'" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error("RTL text plugin already registered.");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return At.prototype.setReferrer=function(t,e){this.referrer=e},At.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},At.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},At.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},At.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},At.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},At.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},At.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},At.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},At.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},At.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},At.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},At.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error("RTL Text Plugin failed to import scripts from "+i),a)}}catch(t){n(t.toString())}},At.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},At.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},At.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},At.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new u),this.demWorkerSources[t][e]},At.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},"undefined"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new At(t.window)),At})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return"undefined"==typeof window||"undefined"==typeof document?"not a 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e=t.getContext("2d");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?function(t){void 0===n[t]&&(n[t]=function(t){var r=function(t){var r=document.createElement("canvas"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext("webgl",n)||r.probablySupportsContext("experimental-webgl",n):r.supportsContext?r.supportsContext("webgl",n)||r.supportsContext("experimental-webgl",n):r.getContext("webgl",n)||r.getContext("experimental-webgl",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);if(!n||r.isContextLost())return!1;return r.shaderSource(n,"void main() {}"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS)}(t));return n[t]}(t&&t.failIfMajorPerformanceCaveat)?void 0:"insufficient WebGL support":"insufficient Canvas/getImageData support":"insufficient ArrayBuffer support":"insufficient Uint8ClampedArray support":"insufficient worker support":"insufficient JSON support":"insufficient Object support":"insufficient Function support":"insufficent Array support"}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i(["userSelect","MozUserSelect","WebkitUserSelect","msUserSelect"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]="none")},r.enableDrag=function(){n&&o&&(n[o]=a)};var s=i(["transform","WebkitTransform"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var c=Object.defineProperty({},"passive",{get:function(){l=!0}});t.window.addEventListener("test",c,c),t.window.removeEventListener("test",c,c)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),"passive"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var u=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener("click",u,!0)};function f(t){var e=t.userImage;if(e&&e.render&&e.render())return t.data.replace(new Uint8Array(e.data.buffer)),!0;return!1}r.suppressClick=function(){t.window.addEventListener("click",u,!0),t.window.setTimeout((function(){t.window.removeEventListener("click",u,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var 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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. 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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 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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 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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 r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),D={vector:S,raster:E,"raster-dem":L,geojson:C,video:O,image:I,canvas:z};function R(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function F(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&"fill-extrusion"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&"fill-extrusion"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(B);for(var c=[],u=0,f=l;u<f.length;u+=1){var h=f[u];c.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,R(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],f=l[c]=l[c]||{},h=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var g=d[p];f[g.featureIndex]||(f[g.featureIndex]=!0,h.push(g))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer["source-layer"],r.id);r.source=r.layer.source,r.layer["source-layer"]&&(r.sourceLayer=r.layer["source-layer"]),r.state=n}));return p}function B(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var N=function(t,e){this.max=t,this.onRemove=e,this.reset()};N.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},N.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},N.prototype.has=function(t){return t.wrapped().key in this.data},N.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},N.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},N.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},N.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},N.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},N.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},N.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var j=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};j.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},j.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},j.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var U={Int8:"BYTE",Uint8:"UNSIGNED_BYTE",Int16:"SHORT",Uint16:"UNSIGNED_SHORT",Int32:"INT",Uint32:"UNSIGNED_INT",Float32:"FLOAT"},V=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};V.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},V.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},V.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},V.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[U[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},V.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var H=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};H.prototype.get=function(){return this.current},H.prototype.set=function(t){},H.prototype.getDefault=function(){return this.default},H.prototype.setDefault=function(){this.set(this.default)};var q=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(H),G=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.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(H),Y=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.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(H),W=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.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),X=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.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(H),Z=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.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(H),J=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.getDefault=function(){return{func:this.gl.ALWAYS,ref:0,mask:255}},e.prototype.set=function(t){var e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)},e}(H),K=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.getDefault=function(){var t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)},e}(H),Q=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}},e}(H),$=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.getDefault=function(){return[0,1]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)},e}(H),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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)},e}(H),ut=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.getDefault=function(){return this.gl.TEXTURE0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)},e}(H),ft=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.getDefault=function(){var t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(H),ht=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(H),pt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(H),dt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(H),gt=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.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(H),mt=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.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(H),vt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(H),yt=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.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(H),xt=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),bt=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.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(H),_t=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(H),wt=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.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var 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 q(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 Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(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)||Ht(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]}):qt(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 H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),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 H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,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 q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),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"]),He=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}(),qe=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(He,!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);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.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:Hr(i.paint.get("raster-hue-rotate"))};var a,o};function Hr(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 qr,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)}(!qr||qr.length<2*h)&&(qr=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(qr,!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 H=1!==n.layout.get("icon-size").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,q),Y=$t(M.posMatrix,v,m,e.transform,q),W=w&&E.hasTextData(),X="none"!==n.layout.get("icon-text-fit")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?"text-halo-width":"icon-halo-width").constantOr(1),$={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 Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.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)))},Hn.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)}}},Hn.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 qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.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 qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({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 qn({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 qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),"string"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(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"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll(["_onMove","setUnit"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&"imperial"===r.unit){var l=3.2808*s;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}Hi.prototype.getDefaultPosition=function(){return"bottom-left"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.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},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off("move",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(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]+" 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t.regions.forEach(e.addRegion),{segments:e.calculate(t.inverted),inverted:t.inverted}},combine:function(t,e){return{combined:o(!1,f,u).calculate(t.segments,t.inverted,e.segments,e.inverted),inverted1:t.inverted,inverted2:e.inverted}},selectUnion:function(t){return{segments:l.union(t.combined,u),inverted:t.inverted1||t.inverted2}},selectIntersect:function(t){return{segments:l.intersect(t.combined,u),inverted:t.inverted1&&t.inverted2}},selectDifference:function(t){return{segments:l.difference(t.combined,u),inverted:t.inverted1&&!t.inverted2}},selectDifferenceRev:function(t){return{segments:l.differenceRev(t.combined,u),inverted:!t.inverted1&&t.inverted2}},selectXor:function(t){return{segments:l.xor(t.combined,u),inverted:t.inverted1!==t.inverted2}},polygon:function(t){return{regions:s(t.segments,f,u),inverted:t.inverted}},polygonFromGeoJSON:function(t){return c.toPolygon(n,t)},polygonToGeoJSON:function(t){return c.fromPolygon(n,f,t)},union:function(t,e){return h(t,e,n.selectUnion)},intersect:function(t,e){return h(t,e,n.selectIntersect)},difference:function(t,e){return h(t,e,n.selectDifference)},differenceRev:function(t,e){return h(t,e,n.selectDifferenceRev)},xor:function(t,e){return h(t,e,n.selectXor)}},"object"==typeof window&&(window.PolyBool=n),e.exports=n},{"./lib/build-log":255,"./lib/epsilon":256,"./lib/geojson":257,"./lib/intersecter":258,"./lib/segment-chainer":260,"./lib/segment-selector":261}],255:[function(t,e,r){e.exports=function(){var t,e=0,r=!1;function n(e,r){return t.list.push({type:e,data:r?JSON.parse(JSON.stringify(r)):void 0}),t}return t={list:[],segmentId:function(){return e++},checkIntersection:function(t,e){return n("check",{seg1:t,seg2:e})},segmentChop:function(t,e){return n("div_seg",{seg:t,pt:e}),n("chop",{seg:t,pt:e})},statusRemove:function(t){return n("pop_seg",{seg:t})},segmentUpdate:function(t){return n("seg_update",{seg:t})},segmentNew:function(t,e){return n("new_seg",{seg:t,primary:e})},segmentRemove:function(t){return n("rem_seg",{seg:t})},tempStatus:function(t,e,r){return n("temp_status",{seg:t,above:e,below:r})},rewind:function(t){return n("rewind",{seg:t})},status:function(t,e,r){return n("status",{seg:t,above:e,below:r})},vert:function(e){return e===r?t:(r=e,n("vert",{x:e}))},log:function(t){return"string"!=typeof t&&(t=JSON.stringify(t,!1,"  ")),n("log",{txt:t})},reset:function(){return n("reset")},selected:function(t){return n("selected",{segs:t})},chainStart:function(t){return n("chain_start",{seg:t})},chainRemoveHead:function(t,e){return n("chain_rem_head",{index:t,pt:e})},chainRemoveTail:function(t,e){return n("chain_rem_tail",{index:t,pt:e})},chainNew:function(t,e){return n("chain_new",{pt1:t,pt2:e})},chainMatch:function(t){return n("chain_match",{index:t})},chainClose:function(t){return n("chain_close",{index:t})},chainAddHead:function(t,e){return n("chain_add_head",{index:t,pt:e})},chainAddTail:function(t,e){return n("chain_add_tail",{index:t,pt:e})},chainConnect:function(t,e){return n("chain_con",{index1:t,index2:e})},chainReverse:function(t){return n("chain_rev",{index:t})},chainJoin:function(t,e){return n("chain_join",{index1:t,index2:e})},done:function(){return n("done")}}}},{}],256:[function(t,e,r){e.exports=function(t){"number"!=typeof t&&(t=1e-10);var e={epsilon:function(e){return"number"==typeof e&&(t=e),t},pointAboveOrOnLine:function(e,r,n){var i=r[0],a=r[1],o=n[0],s=n[1],l=e[0];return(o-i)*(e[1]-a)-(s-a)*(l-i)>=-t},pointBetween:function(e,r,n){var i=e[1]-r[1],a=n[0]-r[0],o=e[0]-r[0],s=n[1]-r[1],l=o*a+i*s;return!(l<t)&&!(l-(a*a+s*s)>-t)},pointsSameX:function(e,r){return Math.abs(e[0]-r[0])<t},pointsSameY:function(e,r){return Math.abs(e[1]-r[1])<t},pointsSame:function(t,r){return e.pointsSameX(t,r)&&e.pointsSameY(t,r)},pointsCompare:function(t,r){return e.pointsSameX(t,r)?e.pointsSameY(t,r)?0:t[1]<r[1]?-1:1:t[0]<r[0]?-1:1},pointsCollinear:function(e,r,n){var i=e[0]-r[0],a=e[1]-r[1],o=r[0]-n[0],s=r[1]-n[1];return Math.abs(i*s-o*a)<t},linesIntersect:function(e,r,n,i){var a=r[0]-e[0],o=r[1]-e[1],s=i[0]-n[0],l=i[1]-n[1],c=a*l-o*s;if(Math.abs(c)<t)return!1;var u=e[0]-n[0],f=e[1]-n[1],h=(s*f-l*u)/c,p=(a*f-o*u)/c,d={alongA:0,alongB:0,pt:[e[0]+h*a,e[1]+h*o]};return d.alongA=h<=-t?-2:h<t?-1:h-1<=-t?0:h-1<t?1:2,d.alongB=p<=-t?-2:p<t?-1:p-1<=-t?0:p-1<t?1:2,d},pointInsideRegion:function(e,r){for(var n=e[0],i=e[1],a=r[r.length-1][0],o=r[r.length-1][1],s=!1,l=0;l<r.length;l++){var c=r[l][0],u=r[l][1];u-i>t!=o-i>t&&(a-c)*(i-u)/(o-u)+c-n>t&&(s=!s),a=c,o=u}return s}};return e}},{}],257:[function(t,e,r){var n={toPolygon:function(t,e){function r(e){if(e.length<=0)return t.segments({inverted:!1,regions:[]});function r(e){var r=e.slice(0,e.length-1);return t.segments({inverted:!1,regions:[r]})}for(var n=r(e[0]),i=1;i<e.length;i++)n=t.selectDifference(t.combine(n,r(e[i])));return n}if("Polygon"===e.type)return t.polygon(r(e.coordinates));if("MultiPolygon"===e.type){for(var n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error("PolyBool: Cannot convert GeoJSON object to PolyBool polygon")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++){if(n(e,(s=t.children[r]).region))return void o(s,e)}var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:"Polygon",coordinates:[]}:1==u.length?{type:"Polygon",coordinates:u[0]}:{type:"MultiPolygon",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t("./linked-list");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var 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 y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error("PolyBool: Zero-length segment detected; your epsilon is probably too small or too large");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{"./linked-list":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn("PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(m=n[u])[0],h=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var 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}},{}],261:[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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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:285,"stream-parser":301}],263:[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 signature","EBADDATA");this.big_endian="M"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n("unexpected EOF","EBADDATA");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var 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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}}},{}],264:[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":262}],265:[function(t,e,r){"use 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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":262}],267:[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":262}],268:[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 l=t[6+16*s]||256,c=t[6+16*s+1]||256,u={width:l,height:c};a.push(u),(l>o.width||c>o.height)&&(o=u)}return{width:o.width,height:o.height,variants:a,type:"ico",mime:"image/x-icon",wUnits:"px",hUnits:"px"}}}},{"../common":262}],269:[function(t,e,r){"use strict";var n=t("../common").readUInt16BE,i=t("../common").str2arr,a=t("../common").sliceEq,o=t("../exif_utils"),s=i("Exif\0\0");e.exports=function(t){if(!(t.length<2)&&255===t[0]&&216===t[1])for(var e=2;;){if(t.length-e<2)return;if(255!==t[e++])return;for(var r,i,l=t[e++];255===l;)l=t[e++];if(208<=l&&l<=217||1===l)r=0;else{if(!(192<=l&&l<=254))return;if(t.length-e<2)return;r=n(t,e)-2,e+=2}if(217===l||218===l)return;if(225===l&&r>=10&&a(t,e,s)&&(i=o.get_orientation(t.slice(e+6,e+r))),r>=5&&192<=l&&l<=207&&196!==l&&200!==l&&204!==l){if(t.length-e<r)return;var c={width:n(t,e+3),height:n(t,e+1),type:"jpg",mime:"image/jpeg",wUnits:"px",hUnits:"px"};return i>0&&(c.orientation=i),c}e+=r}}},{"../common":262,"../exif_utils":263}],270:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("\x89PNG\r\n\x1a\n"),s=n("IHDR");e.exports=function(t){if(!(t.length<24)&&i(t,0,o)&&i(t,12,s))return{width:a(t,16),height:a(t,20),type:"png",mime:"image/png",wUnits:"px",hUnits:"px"}}},{"../common":262}],271:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt32BE,o=n("8BPS\0\x01");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:"psd",mime:"image/vnd.adobe.photoshop",wUnits:"px",hUnits:"px"}}},{"../common":262}],272:[function(t,e,r){"use strict";function n(t){return"number"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\s/,o=/[^-]\bwidth="([^%]+?)"|[^-]\bwidth='([^%]+?)'/,s=/\bheight="([^%]+?)"|\bheight='([^%]+?)'/,l=/\bview[bB]ox="(.+?)"|\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:"px"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e="",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[""])[0];if(a.test(c)){var f=function(t){var e=t.match(o),r=t.match(s),n=t.match(l);return{width:e&&(e[1]||e[2]),height:r&&(r[1]||r[2]),viewbox:n&&(n[1]||n[2])}}(c),h=parseFloat(f.width),p=parseFloat(f.height);if(f.width&&f.height){if(!n(h)||!n(p))return;return{width:h,height:p,type:"svg",mime:"image/svg+xml",wUnits:u(f.width),hUnits:u(f.height)}}var d=(f.viewbox||"").split(" 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e=77===t[0],r=h(t,4,e)-8;if(!(r<0)){var n=r+8;if(!(t.length-n<2)){var a=12*f(t,n+0,e);if(!(a<=0||(n+=2,t.length-n<a))){var o,s,l,d;for(o=0;o<a;o+=12)256===(d=f(t,n+o,e))?s=p(t,n+o,e):257===d&&(l=p(t,n+o,e));return s&&l?{width:s,height:l,type:"tiff",mime:"image/tiff",wUnits:"px",hUnits:"px"}:void 0}}}}}},{"../common":262}],274:[function(t,e,r){"use strict";var n=t("../common").str2arr,i=t("../common").sliceEq,a=t("../common").readUInt16LE,o=t("../common").readUInt32LE,s=t("../exif_utils"),l=n("RIFF"),c=n("WEBP");function u(t,e){if(157===t[e+3]&&1===t[e+4]&&42===t[e+5])return{width:16383&a(t,e+6),height:16383&a(t,e+8),type:"webp",mime:"image/webp",wUnits:"px",hUnits:"px"}}function f(t,e){if(47===t[e]){var r=o(t,e+1);return{width:1+(16383&r),height:1+(r>>14&16383),type:"webp",mime:"image/webp",wUnits:"px",hUnits:"px"}}}function h(t,e){return{width:1+(t[e+6]<<16|t[e+5]<<8|t[e+4]),height:1+(t[e+9]<<e|t[e+8]<<8|t[e+7]),type:"webp",mime:"image/webp",wUnits:"px",hUnits:"px"}}e.exports=function(t){if(!(t.length<16)&&(i(t,0,l)||i(t,8,c))){var e=12,r=null,n=0,a=o(t,4)+8;if(!(a>t.length)){for(;e+8<a;)if(0!==t[e]){var p=String.fromCharCode.apply(null,t.slice(e,e+4)),d=o(t,e+4);"VP8 "===p&&d>=10?r=r||u(t,e+8):"VP8L"===p&&d>=9?r=r||f(t,e+8):"VP8X"===p&&d>=10?r=r||h(t,e+8):"EXIF"===p&&(n=s.get_orientation(t.slice(e+8,e+8+d)),e=1/0),e+=8+d}else e++;if(r)return n>0&&(r.orientation=n),r}}}},{"../common":262,"../exif_utils":263}],275:[function(t,e,r){"use 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opacity;\n\t\t}\n\t\t",uniforms:{range:t.prop("range"),lineWidth:t.prop("lineWidth"),capSize:t.prop("capSize"),opacity:t.prop("opacity"),scale:t.prop("scale"),translate:t.prop("translate"),scaleFract:t.prop("scaleFract"),translateFract:t.prop("translateFract"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]}},attributes:{color:{buffer:d,offset:function(t,e){return 4*e.offset},divisor:1},position:{buffer:c,offset:function(t,e){return 8*e.offset},divisor:1},positionFract:{buffer:p,offset:function(t,e){return 8*e.offset},divisor:1},error:{buffer:g,offset:function(t,e){return 16*e.offset},divisor:1},direction:{buffer:m,stride:24,offset:0},lineOffset:{buffer:m,stride:24,offset:8},capOffset:{buffer:m,stride:24,offset:16}},primitive:"triangles",blend:{enable:!0,color:[0,0,0,0],equation:{rgb:"add",alpha:"add"},func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst 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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 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color;\nattribute float lineEnd, lineTop;\n\nuniform vec2 scale, scaleFract, translate, translateFract;\nuniform float thickness, pixelRatio, id, depth;\nuniform vec4 viewport;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\n\t// the order is important\n\treturn position * scale + translate\n       + positionFract * scale + translateFract\n       + position * scaleFract\n       + positionFract * scaleFract;\n}\n\nvoid main() {\n\tfloat lineStart = 1. - lineEnd;\n\tfloat lineOffset = lineTop * 2. - 1.;\n\n\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\n\ttangent = normalize(diff * scale * viewport.zw);\n\tvec2 normal = vec2(-tangent.y, tangent.x);\n\n\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\n\t\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\n\n\t\t+ thickness * normal * .5 * lineOffset / viewport.zw;\n\n\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\n\n\tfragColor = color / 255.;\n}\n"]),frag:o(["precision highp float;\n#define GLSLIFY 1\n\nuniform float dashLength, pixelRatio, thickness, opacity, id;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\n\nvoid main() {\n\tfloat alpha = 1.;\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop("positionFractBuffer"),stride:8,offset:16,divisor:1},color:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:"back"},vert: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 float dashLength, pixelRatio, thickness, opacity, id, miterMode;\nuniform sampler2D dashTexture;\n\nvarying vec4 fragColor;\nvarying vec2 tangent;\nvarying vec4 startCutoff, endCutoff;\nvarying vec2 startCoord, endCoord;\nvarying float enableStartMiter, enableEndMiter;\n\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\n\tvec2 diff = b - a;\n\tvec2 perp = normalize(vec2(-diff.y, diff.x));\n\treturn dot(p - a, perp);\n}\n\nvoid main() {\n\tfloat alpha = 1., distToStart, distToEnd;\n\tfloat cutoff = thickness * .5;\n\n\t//bevel miter\n\tif (miterMode == 1.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToStart + 1., 0.), 1.);\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < -1.) {\n\t\t\t\tdiscard;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\talpha *= min(max(distToEnd + 1., 0.), 1.);\n\t\t}\n\t}\n\n\t// round miter\n\telse if (miterMode == 2.) {\n\t\tif (enableStartMiter == 1.) {\n\t\t\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\n\t\t\tif (distToStart < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - startCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\n\t\tif (enableEndMiter == 1.) {\n\t\t\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\n\t\t\tif (distToEnd < 0.) {\n\t\t\t\tfloat radius = length(gl_FragCoord.xy - endCoord);\n\n\t\t\t\tif(radius > cutoff + .5) {\n\t\t\t\t\tdiscard;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\n\t\t\t\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\n\t\t\t}\n\t\t}\n\t}\n\n\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\n\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\n\n\tgl_FragColor = fragColor;\n\tgl_FragColor.a *= alpha * opacity * dash;\n}\n"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop("colorBuffer"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop("colorBuffer"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop("positionBuffer"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:"triangle",elements:function(t,e){return e.triangles},offset:0,vert: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 join type mode",miterLimit:"miterlimit miterLimit",dashes:"dash dashes dasharray dash-array dashArray",color:"color colour stroke colors colours stroke-color strokeColor",fill:"fill fill-color fillColor",opacity:"alpha opacity",overlay:"overlay crease overlap intersect",close:"closed close closed-path closePath",range:"range dataBox",viewport:"viewport viewBox",hole:"holes hole hollow",splitNull:"splitNull"}),d||(e.passes[f]=d={id:f,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:"linear",min:"linear"}),colorBuffer:r.buffer({usage:"dynamic",type:"uint8",data:new Uint8Array}),positionBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:"dynamic",type:"float",data:new Uint8Array})},t=a({},v.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<v.maxLines&&(d.depth=2*(v.maxLines-1-f%v.maxLines)/v.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,"uint8"):null),null!=t.viewport&&(d.viewport=g(t.viewport)),d.viewport||(d.viewport=g([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var y,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),y=new Float64Array(2*x);for(var w=0;w<x;w++)y[2*w]=b[w],y[2*w+1]=_[w]}else y=l(t.positions,"float64"),x=d.count=Math.floor(y.length/2);var T=d.bounds=i(y,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=m(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new Float64Array(2*x+6);d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?y[0]===y[2*x-2]&&y[1]===y[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Y=h(G);d.positionBuffer(Y);var W=p(G,Y);d.positionFractBuffer(W)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var X=d.bounds,Z=X[2]-X[0],J=X[3]-X[1],K=d.range[2]-d.range[0],Q=d.range[3]-d.range[1];d.scale=[Z/K,J/Q],d.translate=[-d.range[0]/K+X[0]/K||0,-d.range[1]/Q+X[1]/Q||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var $,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,$=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];$=new Uint8Array(tt*v.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:"linear",min:"linear"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct="transparent");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&"number"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],"uint8");ut.set(ht,4*ft)}ut.set(n(ct[0],"uint8"),4*lt)}else for(var pt=n(ct,"uint8"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:"dynamic",type:"uint8",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:"src alpha",dstRGB:"one minus src alpha",srcAlpha:"one minus dst alpha",dstAlpha:"one"}},scissor:{enable:!0,box:t.prop("viewport")},viewport:t.prop("viewport"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop("elements"),count:t.prop("count"),offset:t.prop("offset"),primitive:"points"},s=f({},o);s.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nuniform float opacity;\nuniform sampler2D markerTexture;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat smoothStep(float x, float y) {\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\n}\n\nvoid main() {\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\n\n  // max-distance alpha\n  if (dist < 0.003) discard;\n\n  // null-border case\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\n  }\n  else {\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\n\n    vec4 color = fragBorderColor;\n    color.a *= borderColorAmt;\n    color = mix(color, fragColor, colorAmt);\n    color.a *= opacity;\n\n    gl_FragColor = color;\n  }\n\n}\n"]),s.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\nconst float borderLevel = .5;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = 2. * size * pointSizeScale;\n  fragPointSize = size * pixelRatio;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragColor = color;\n  fragBorderColor = borderColor;\n  fragWidth = 1. / gl_PointSize;\n\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\n}"]),this.drawMarker=t(s);var l=f({},o);l.frag=h(["precision highp float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nuniform float opacity;\n\nfloat smoothStep(float edge0, float edge1, float x) {\n\tfloat t;\n\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\n\treturn t * t * (3.0 - 2.0 * t);\n}\n\nvoid main() {\n\tfloat radius, alpha = 1.0, delta = fragWidth;\n\n\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\n\n\tif (radius > 1.0 + delta) {\n\t\tdiscard;\n\t}\n\n\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\n\n\tfloat borderRadius = fragBorderRadius;\n\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\n\tvec4 color = mix(fragColor, fragBorderColor, ratio);\n\tcolor.a *= alpha * opacity;\n\tgl_FragColor = color;\n}\n"]),l.vert=h(["precision highp float;\n#define GLSLIFY 1\n\nattribute float x, y, xFract, yFract;\nattribute float size, borderSize;\nattribute vec4 colorId, borderColorId;\nattribute float isActive;\n\nuniform bool constPointSize;\nuniform float pixelRatio;\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\nuniform sampler2D paletteTexture;\n\nconst float maxSize = 100.;\n\nvarying vec4 fragColor, fragBorderColor;\nvarying float fragBorderRadius, fragWidth;\n\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\n\nbool isDirect = (paletteSize.x < 1.);\n\nvec4 getColor(vec4 id) {\n  return isDirect ? id / 255. : texture2D(paletteTexture,\n    vec2(\n      (id.x + .5) / paletteSize.x,\n      (id.y + .5) / paletteSize.y\n    )\n  );\n}\n\nvoid main() {\n  // ignore inactive points\n  if (isActive == 0.) return;\n\n  vec2 position = vec2(x, y);\n  vec2 positionFract = vec2(xFract, yFract);\n\n  vec4 color = getColor(colorId);\n  vec4 borderColor = getColor(borderColorId);\n\n  float size = size * maxSize / 255.;\n  float borderSize = borderSize * maxSize / 255.;\n\n  gl_PointSize = (size + borderSize) * pointSizeScale;\n\n  vec2 pos = (position + translate) * scale\n      + (positionFract + translateFract) * scale\n      + (position + translate) * scaleFract\n      + (positionFract + translateFract) * scaleFract;\n\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\n\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\n  fragColor = color;\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\n  fragWidth = 1. / gl_PointSize;\n}\n"]),m&&(l.frag=l.frag.replace("smoothstep","smoothStep"),s.frag=s.frag.replace("smoothstep","smoothStep")),this.drawCircle=t(l)}b.defaults={color:"black",borderColor:"transparent",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if("number"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return 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 points",snap:"snap cluster lod tree",size:"sizes size radius",borderSize:"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline",color:"colors color fill fill-color fillColor",borderColor:"borderColors borderColor stroke stroke-color strokeColor",marker:"markers marker shape",range:"range dataBox databox",viewport:"viewport viewPort viewBox viewbox",opacity:"opacity alpha transparency",bounds:"bound bounds boundaries limits",tooManyColors:"tooManyColors palette paletteMode optimizePalette enablePalette"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:"stream",type:"uint8"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"uint8"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:"dynamic",type:"float"})},e=f({},b.defaults,e)),e.positions&&!("marker"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!("positions"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return"range"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,"float64");var c=e.count=Math.floor(t.length/2),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 i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&"number"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:"uint8",usage:"static"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:"dynamic"})}if(x){var 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 a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:"linear",min:"linear"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if("number"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,"uint8");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var 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 _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{"@plotly/point-cluster":59,"array-bounds":71,"color-id":87,"color-normalize":89,"flatten-vertex-data":191,glslify:227,"is-iexplorer":233,"object-assign":247,"parse-rect":249,"pick-by-alias":253,"to-float32":313,"update-diff":329}],282:[function(t,e,r){"use strict";var n=t("regl-scatter2d"),i=t("pick-by-alias"),a=t("array-bounds"),o=t("raf"),s=t("array-range"),l=t("parse-rect"),c=t("flatten-vertex-data");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if("number"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}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 showDiagonal",upper:"upper 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+"."+Math.floor(t/20)+"."+t%20},forYear:function(t){if((t=t.split(".")).length<3)throw"Invalid Mayan year";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw"Invalid Mayan year";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{"../main":346,"object-assign":247}],340:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar;var o=n.instance("gregorian");i(a.prototype,{name:"Nanakshahi",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Nanakshahi",epochs:["BN","AN"],monthNames:["Chet","Vaisakh","Jeth","Harh","Sawan","Bhadon","Assu","Katak","Maghar","Poh","Magh","Phagun"],monthNamesShort:["Che","Vai","Jet","Har","Saw","Bha","Ass","Kat","Mgr","Poh","Mgh","Pha"],dayNames:["Somvaar","Mangalvar","Budhvaar","Veervaar","Shukarvaar","Sanicharvaar","Etvaar"],dayNamesShort:["Som","Mangal","Budh","Veer","Shukar","Sanichar","Et"],dayNamesMin:["So","Ma","Bu","Ve","Sh","Sa","Et"],digits:null,dateFormat:"dd-mm-yyyy",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[""].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},{"../main":346,"object-assign":247}],341:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Nepali",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{"":{name:"Nepali",epochs:["BBS","ABS"],monthNames:["Baisakh","Jestha","Ashadh","Shrawan","Bhadra","Ashwin","Kartik","Mangsir","Paush","Mangh","Falgun","Chaitra"],monthNamesShort:["Bai","Je","As","Shra","Bha","Ash","Kar","Mang","Pau","Ma","Fal","Chai"],dayNames:["Aaitabaar","Sombaar","Manglbaar","Budhabaar","Bihibaar","Shukrabaar","Shanibaar"],dayNamesShort:["Aaita","Som","Mangl","Budha","Bihi","Shukra","Shani"],dayNamesMin:["Aai","So","Man","Bu","Bi","Shu","Sha"],digits:null,dateFormat:"dd/mm/yyyy",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),"d"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var c=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,"d").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29,29,30,30],2077:[17,31,32,31,32,31,30,30,30,29,30,29,31],2078:[17,31,31,31,32,31,31,30,29,30,29,30,30],2079:[17,31,31,32,31,31,31,30,29,30,29,30,30],2080:[16,31,32,31,32,31,30,30,30,29,29,30,30],2081:[17,31,31,32,32,31,30,30,30,29,30,30,30],2082:[17,31,32,31,32,31,30,30,30,29,30,30,30],2083:[17,31,31,32,31,31,30,30,30,29,30,30,30],2084:[17,31,31,32,31,31,30,30,30,29,30,30,30],2085:[17,31,32,31,32,31,31,30,30,29,30,30,30],2086:[17,31,32,31,32,31,30,30,30,29,30,30,30],2087:[16,31,31,32,31,31,31,30,30,29,30,30,30],2088:[16,30,31,32,32,30,31,30,30,29,30,30,30],2089:[17,31,32,31,32,31,30,30,30,29,30,30,30],2090:[17,31,32,31,32,31,30,30,30,29,30,30,30],2091:[16,31,31,32,31,31,31,30,30,29,30,30,30],2092:[16,31,31,32,32,31,30,30,30,29,30,30,30],2093:[17,31,32,31,32,31,30,30,30,29,30,30,30],2094:[17,31,31,32,31,31,30,30,30,29,30,30,30],2095:[17,31,31,32,31,31,31,30,29,30,30,30,30],2096:[17,30,31,32,32,31,30,30,29,30,29,30,30],2097:[17,31,32,31,32,31,30,30,30,29,30,30,30],2098:[17,31,31,32,31,31,31,29,30,29,30,30,31],2099:[17,31,31,32,31,31,31,30,29,29,30,30,30],2100:[17,31,32,31,32,30,31,30,29,30,29,30,30]}}),n.calendars.nepali=a},{"../main":346,"object-assign":247}],342:[function(t,e,r){var n=t("../main"),i=t("object-assign");function a(t){this.local=this.regionalOptions[t||""]||this.regionalOptions[""]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:"Persian",jdEpoch:1948320.5,daysPerMonth:[31,31,31,31,31,31,30,30,30,30,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{"":{name:"Persian",epochs:["BP","AP"],monthNames:["Farvardin","Ordibehesht","Khordad","Tir","Mordad","Shahrivar","Mehr","Aban","Azar","Day","Bahman","Esfand"],monthNamesShort:["Far","Ord","Kho","Tir","Mor","Sha","Meh","Aba","Aza","Day","Bah","Esf"],dayNames:["Yekshambe","Doshambe","Seshambe","Ch\xe6harshambe","Panjshambe","Jom'e","Shambe"],dayNamesShort:["Yek","Do","Se","Ch\xe6","Panj","Jom","Sha"],dayNamesMin:["Ye","Do","Se","Ch","Pa","Jo","Sh"],digits:null,dateFormat:"yyyy/mm/dd",firstDay:6,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 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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._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":503,"../color":366}],353:[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":531,"fast-isnumeric":190}],354:[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":503,"../../plots/array_container_defaults":549,"../../plots/cartesian/axes":554,"./attributes":349,"./common_defaults":352}],355:[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 H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append("text").classed("annotation-text",!0).text(q);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,H).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),H=Math.round(D+2*N);function q(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,$,tt,et=X[Z],rt=e[et+"ref"]||et,nt=e["a"+et+"ref"],it={x:v,y:x}[et],at=(P+("x"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+"anchor"],ut=e[et+"shift"]*("x"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&"domain"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e["a"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.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),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e["a"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);"domain"===mt?("y"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):"paper"===mt?"y"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w["x"===et?"width":"height"];if("paper"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),"pixel"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,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,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/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,H=e.arrowcolor,q=e.arrowside,G=I.append("g").style({opacity:c.opacity(H)}).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(H));if(m(Y,q,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 J,K,Q=G.append("path").classed("annotation-arrow",!0).classed("anndrag",!0).classed("cursor-move",!0).attr({d:"M3,3H-3V-3H3ZM0,0L"+(h-W)+","+(p-X),transform:s(W,X)}).style("stroke-width",V+6+"px").call(c.stroke,"rgba(0,0,0,0)").call(c.fill,"rgba(0,0,0,0)");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+".autorange",!0),x&&x.autorange&&M(x._name+".autorange",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S("x",y(v,t,"x",T,e)),S("y",y(x,r,"y",T,e)),e.axref===e.xref&&S("ax",y(v,t,"ax",T,e)),e.ayref===e.yref&&S("ay",y(x,r,"ay",T,e)),G.attr("transform",s(t,r)),O.attr({transform:"rotate("+P+","+i+","+a+")"})},doneFn:function(){i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr("transform")},moveFn:function(t,r){var n="pointer";if(e.showarrow)e.axref===e.xref?S("ax",y(v,t,"ax",T,e)):S("ax",e.ax+t),e.ayref===e.yref?S("ay",y(x,r,"ay",T.w,e)):S("ay",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,"x",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,"y",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S("x",i),S("y",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit("plotly_clickannotation",Y(n))},doneFn:function(){p(R),i.call("_guiRelayout",t,E());var e=document.querySelector(".js-notes-box-panel");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(".annotation").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{"../../lib":503,"../../lib/setcursor":524,"../../lib/svg_text_utils":529,"../../plot_api/plot_template":543,"../../plots/cartesian/axes":554,"../../plots/plots":619,"../../registry":638,"../color":366,"../dragelement":385,"../drawing":388,"../fx":406,"./draw_arrow_head":356,"@plotly/d3":58}],356:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../color"),a=t("./arrow_paths"),o=t("../../lib"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],g=a[r.startarrowhead||0],m=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf("start")>=0,x=e.indexOf("end")>=0,b=d.backoff*m+r.standoff,_=g.backoff*v+r.startstandoff;if("line"===p.nodeName){o={x:+t.attr("x1"),y:+t.attr("y1")},u={x:+t.attr("x2"),y:+t.attr("y2")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if("path"===p.nodeName){var E=p.getTotalLength(),L="";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L="0px,"+_+"px,";var I=p.getPointAtLength(E),O=p.getPointAtLength(E-.1);h=Math.atan2(I.y-O.y,I.x-O.x),u=p.getPointAtLength(Math.max(0,E-b)),L+=E-(L?_+b:b)+"px,"+E+"px",t.style("stroke-dasharray",L)}function z(){t.style("stroke-dasharray","0px,100px")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append("path").attr({class:t.attr("class"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),"stroke-width":0}))}y&&D(g,o,f,v),x&&D(d,u,h,m)}},{"../../lib":503,"../color":366,"./arrow_paths":348,"@plotly/d3":58}],357:[function(t,e,r){"use strict";var n=t("./draw"),i=t("./click");e.exports={moduleType:"component",name:"annotations",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),includeBasePlot:t("../../plots/cartesian/include_components")("annotations"),calcAutorange:t("./calc_autorange"),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:t("./convert_coords")}},{"../../plots/cartesian/include_components":567,"./attributes":349,"./calc_autorange":350,"./click":351,"./convert_coords":353,"./defaults":354,"./draw":355}],358:[function(t,e,r){"use strict";var n=t("../annotations/attributes"),i=t("../../plot_api/edit_types").overrideAll,a=t("../../plot_api/plot_template").templatedArray;e.exports=i(a("annotation",{visible:n.visible,x:{valType:"any"},y:{valType:"any"},z:{valType:"any"},ax:{valType:"number"},ay:{valType:"number"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),"calc","from-root")},{"../../plot_api/edit_types":536,"../../plot_api/plot_template":543,"../annotations/attributes":349}],359:[function(t,e,r){"use 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function(e){return n.coerceHoverinfo({hoverinfo:e},{_module:t._module},r)}}for(var s=0;s<e.length;s++){var l=e[s],c=l[0].trace;if(!i.traceIs(c,"pie-like")){var u=i.traceIs(c,"2dMap")?a:n.fillArray;u(c.hoverinfo,l,"hi",o(c)),c.hovertemplate&&u(c.hovertemplate,l,"ht"),c.hoverlabel&&(u(c.hoverlabel.bgcolor,l,"hbg"),u(c.hoverlabel.bordercolor,l,"hbc"),u(c.hoverlabel.font.size,l,"hts"),u(c.hoverlabel.font.color,l,"htc"),u(c.hoverlabel.font.family,l,"htf"),u(c.hoverlabel.namelength,l,"hnl"),u(c.hoverlabel.align,l,"hta"))}}}},{"../../lib":503,"../../registry":638}],399:[function(t,e,r){"use strict";var n=t("../../registry"),i=t("./hover").hover;e.exports=function(t,e,r){var a=n.getComponentMethod("annotations","onClick")(t,t._hoverdata);function o(){t.emit("plotly_click",{points:t._hoverdata,event:e})}void 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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 t=n.select(this),e=h.tester.append("text").text(t.text()).call(h.font,g),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr("x",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll("#"+F).data(O?[0]:[]);N.enter().append("clipPath").attr("id",F).append("path"),N.exit().remove(),N.select("path").attr("d",O),h.setClipUrl(l,O?F:null,r)}t.attr("transform",s(m,v))})),v.isUnifiedHover(a)){d.selectAll("g.hovertext").remove();var G=t.filter((function(t){return"none"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:"v"}},Z={};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if("none"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=""!==et?et+" : "+tt:tt;var 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G,Y,W=(H+M+S+E)*i._invScaleX;if(c)t.pos=P,G=z+j/2+W<=F,Y=z-j/2-W>=0,"top"!==t.idealAlign&&G||!Y?G?(z+=j/2,t.anchor="start"):t.anchor="middle":(z-=j/2,t.anchor="end");else if(t.pos=z,G=P+N/2+W<=R,Y=P-N/2-W>=0,"left"!==t.idealAlign&&G||!Y)if(G)P+=N/2,t.anchor="start";else{t.anchor="middle";var X=W/2,Z=P+X-R,J=P-X;Z>0&&(P-=Z),J<0&&(P+=-J)}else P-=N/2,t.anchor="end";w.attr("text-anchor",t.anchor),E&&A.attr("text-anchor",t.anchor),e.attr("transform",s(P,z)+(c?l(_):""))})),xt}function O(t,e,r,n,i,a){var s="",l="";void 0!==t.nameOverride&&(t.name=t.nameOverride),t.name&&(t.trace._meta&&(t.name=o.templateString(t.name,t.trace._meta)),s=B(t.name,t.nameLength));var c=r.charAt(0),u="x"===c?"y":"x";void 0!==t.zLabel?(void 0!==t.xLabel&&(l+="x: "+t.xLabel+"<br>"),void 0!==t.yLabel&&(l+="y: "+t.yLabel+"<br>"),"choropleth"!==t.trace.type&&"choroplethmapbox"!==t.trace.type&&(l+=(l?"z: ":"")+t.zLabel)):e&&t[c+"Label"]===i?l=t[u+"Label"]||"":void 0===t.xLabel?void 0!==t.yLabel&&"scattercarpet"!==t.trace.type&&(l=t.yLabel):l=void 0===t.yLabel?t.xLabel:"("+t.xLabel+", "+t.yLabel+")",!t.text&&0!==t.text||Array.isArray(t.text)||(l+=(l?"<br>":"")+t.text),void 0!==t.extraText&&(l+=(l?"<br>":"")+t.extraText),a&&""===l&&!t.hovertemplate&&(""===s&&a.remove(),l=s);var f=t.hovertemplate||!1;if(f){var h=t.hovertemplateLabels||t;t[c+"Label"]!==i&&(h[c+"other"]=h[c+"Val"],h[c+"otherLabel"]=h[c+"Label"]),l=(l=o.hovertemplateString(f,h,n._d3locale,t.eventData[0]||{},t.trace._meta)).replace(P,(function(e,r){return s=B(r,t.nameLength),""}))}return[l,s]}function z(t,e,r,i){var a=function(t){return t*r},o=function(t){return t*i};t.each((function(t){var r=n.select(this);if(t.del)return r.remove();var 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c=Array.isArray(r)?function(t,e){var i=o.castOption(a,r,t);return l(i)?i:o.extractOption({},n,"",e)}:function(t,e){return o.extractOption(s,n,t,e)};function u(e,r,n){var i=c(r,n);l(i)&&(t[e]=i)}if(u("hoverinfo","hi","hoverinfo"),u("bgcolor","hbg","hoverlabel.bgcolor"),u("borderColor","hbc","hoverlabel.bordercolor"),u("fontFamily","htf","hoverlabel.font.family"),u("fontSize","hts","hoverlabel.font.size"),u("fontColor","htc","hoverlabel.font.color"),u("nameLength","hnl","hoverlabel.namelength"),u("textAlign","hta","hoverlabel.align"),t.posref="y"===e||"closest"===e&&"h"===n.orientation?t.xa._offset+(t.x0+t.x1)/2:t.ya._offset+(t.y0+t.y1)/2,t.x0=o.constrain(t.x0,0,t.xa._length),t.x1=o.constrain(t.x1,0,t.xa._length),t.y0=o.constrain(t.y0,0,t.ya._length),t.y1=o.constrain(t.y1,0,t.ya._length),void 0!==t.xLabelVal&&(t.xLabel="xLabel"in t?t.xLabel:g.hoverLabelText(t.xa,t.xLabelVal,n.xhoverformat),t.xVal=t.xa.c2d(t.xLabelVal)),void 0!==t.yLabelVal&&(t.yLabel="yLabel"in t?t.yLabel:g.hoverLabelText(t.ya,t.yLabelVal,n.yhoverformat),t.yVal=t.ya.c2d(t.yLabelVal)),void 0!==t.zLabelVal&&void 0===t.zLabel&&(t.zLabel=String(t.zLabelVal)),!(isNaN(t.xerr)||"log"===t.xa.type&&t.xerr<=0)){var f=g.tickText(t.xa,t.xa.c2l(t.xerr),"hover").text;void 0!==t.xerrneg?t.xLabel+=" +"+f+" / -"+g.tickText(t.xa,t.xa.c2l(t.xerrneg),"hover").text:t.xLabel+=" \xb1 "+f,"x"===e&&(t.distance+=1)}if(!(isNaN(t.yerr)||"log"===t.ya.type&&t.yerr<=0)){var h=g.tickText(t.ya,t.ya.c2l(t.yerr),"hover").text;void 0!==t.yerrneg?t.yLabel+=" +"+h+" / -"+g.tickText(t.ya,t.ya.c2l(t.yerrneg),"hover").text:t.yLabel+=" \xb1 "+h,"y"===e&&(t.distance+=1)}var p=t.hoverinfo||t.trace.hoverinfo;return p&&"all"!==p&&(-1===(p=Array.isArray(p)?p:p.split("+")).indexOf("x")&&(t.xLabel=void 0),-1===p.indexOf("y")&&(t.yLabel=void 0),-1===p.indexOf("z")&&(t.zLabel=void 0),-1===p.indexOf("text")&&(t.text=void 0),-1===p.indexOf("name")&&(t.name=void 0)),t}function R(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(".spikeline").remove(),f||u){var d=p.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,v,y=e.hLinePoint;n=y&&y.xa,"cursor"===(i=y&&y.ya).spikesnap?(m=c.pointerX,v=c.pointerY):(m=n._offset+y.x,v=i._offset+y.y);var x,b,_=a.readability(y.color,d)<1.5?p.contrast(d):y.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf("toaxis")||-1!==w.indexOf("across")){if(-1!==w.indexOf("toaxis")&&(x=A,b=m),-1!==w.indexOf("across")){var M=i._counterDomainMin,S=i._counterDomainMax;"free"===i.anchor&&(M=Math.min(M,i.position),S=Math.max(S,i.position)),x=l.l+M*l.w,b=l.l+S*l.w}o.insert("line",":first-child").attr({x1:x,x2:b,y1:v,y2:v,"stroke-width":T,stroke:k,"stroke-dasharray":h.dashStyle(i.spikedash,T)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:x,x2:b,y1:v,y2:v,"stroke-width":T+2,stroke:d}).classed("spikeline",!0).classed("crisp",!0)}-1!==w.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:A+("right"!==i.side?T:-T),cy:v,r:T,fill:k}).classed("spikeline",!0)}if(f){var E,L,C=e.vLinePoint;n=C&&C.xa,i=C&&C.ya,"cursor"===n.spikesnap?(E=c.pointerX,L=c.pointerY):(E=n._offset+C.x,L=i._offset+C.y);var P,I,O=a.readability(C.color,d)<1.5?p.contrast(d):C.color,z=n.spikemode,D=n.spikethickness,R=n.spikecolor||O,F=g.getPxPosition(t,n);if(-1!==z.indexOf("toaxis")||-1!==z.indexOf("across")){if(-1!==z.indexOf("toaxis")&&(P=F,I=L),-1!==z.indexOf("across")){var B=n._counterDomainMin,N=n._counterDomainMax;"free"===n.anchor&&(B=Math.min(B,n.position),N=Math.max(N,n.position)),P=l.t+(1-N)*l.h,I=l.t+(1-B)*l.h}o.insert("line",":first-child").attr({x1:E,x2:E,y1:P,y2:I,"stroke-width":D,stroke:R,"stroke-dasharray":h.dashStyle(n.spikedash,D)}).classed("spikeline",!0).classed("crisp",!0),o.insert("line",":first-child").attr({x1:E,x2:E,y1:P,y2:I,"stroke-width":D+2,stroke:d}).classed("spikeline",!0).classed("crisp",!0)}-1!==z.indexOf("marker")&&o.insert("circle",":first-child").attr({cx:E,cy:F-("top"!==n.side?D:-D),r:D,fill:R}).classed("spikeline",!0)}}}function F(t,e){return!e||(e.vLinePoint!==t._spikepoints.vLinePoint||e.hLinePoint!==t._spikepoints.hLinePoint)}function B(t,e){return u.plainText(t||"",{len:e,allowedTags:["br","sub","sup","b","i","em"]})}function N(t,e,r){var n=e[t+"a"],i=e[t+"Val"],a=e.cd[0];if("category"===n.type)i=n._categoriesMap[i];else if("date"===n.type){var o=e.trace[t+"periodalignment"];if(o){var 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r=t._fullLayout,n=e.getBoundingClientRect(),i=n.x,a=n.y,s=i+n.width,l=a+n.height,c=o.apply3DTransform(r._invTransform)(i,a),u=o.apply3DTransform(r._invTransform)(s,l),f=c[0],h=c[1],p=u[0],d=u[1];return{x:f,y:h,width:p-f,height:d-h,top:Math.min(h,d),left:Math.min(f,p),right:Math.max(f,p),bottom:Math.max(h,d)}}},{"../../lib":503,"../../lib/events":492,"../../lib/override_cursor":514,"../../lib/svg_text_utils":529,"../../plots/cartesian/axes":554,"../../registry":638,"../color":366,"../dragelement":385,"../drawing":388,"../legend/defaults":418,"../legend/draw":419,"./constants":400,"./helpers":402,"@plotly/d3":58,"fast-isnumeric":190,tinycolor2:312}],404:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../color"),a=t("./helpers").isUnifiedHover;e.exports=function(t,e,r,o){function 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n=t("@plotly/d3"),i=t("../../lib"),a=t("../dragelement"),o=t("./helpers"),s=t("./layout_attributes"),l=t("./hover");e.exports={moduleType:"component",name:"fx",constants:t("./constants"),schema:{layout:s},attributes:t("./attributes"),layoutAttributes:s,supplyLayoutGlobalDefaults:t("./layout_global_defaults"),supplyDefaults:t("./defaults"),supplyLayoutDefaults:t("./layout_defaults"),calc:t("./calc"),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,"hoverlabel."+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,"hoverinfo",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var 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n=t("../../plots/cartesian/constants"),i=t("../../plot_api/plot_template").templatedArray;t("../../constants/axis_placeable_objects");e.exports=i("image",{visible:{valType:"boolean",dflt:!0,editType:"arraydraw"},source:{valType:"string",editType:"arraydraw"},layer:{valType:"enumerated",values:["below","above"],dflt:"above",editType:"arraydraw"},sizex:{valType:"number",dflt:0,editType:"arraydraw"},sizey:{valType:"number",dflt:0,editType:"arraydraw"},sizing:{valType:"enumerated",values:["fill","contain","stretch"],dflt:"contain",editType:"arraydraw"},opacity:{valType:"number",min:0,max:1,dflt:1,editType:"arraydraw"},x:{valType:"any",dflt:0,editType:"arraydraw"},y:{valType:"any",dflt:0,editType:"arraydraw"},xanchor:{valType:"enumerated",values:["left","center","right"],dflt:"left",editType:"arraydraw"},yanchor:{valType:"enumerated",values:["top","middle","bottom"],dflt:"top",editType:"arraydraw"},xref:{valType:"enumerated",values:["paper",n.idRegex.x.toString()],dflt:"paper",editType:"arraydraw"},yref:{valType:"enumerated",values:["paper",n.idRegex.y.toString()],dflt:"paper",editType:"arraydraw"},editType:"arraydraw"})},{"../../constants/axis_placeable_objects":472,"../../plot_api/plot_template":543,"../../plots/cartesian/constants":561}],412:[function(t,e,r){"use 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l={_fullLayout:r},c=["x","y"],u=0;u<2;u++){var f=c[u],h=i.coerceRef(t,e,l,f,"paper",void 0);if("paper"!==h)i.getFromId(l,h)._imgIndices.push(e._index);i.coercePosition(e,l,a,h,f,0)}return e}e.exports=function(t,e){a(t,e,{name:"images",handleItemDefaults:s})}},{"../../lib":503,"../../plots/array_container_defaults":549,"../../plots/cartesian/axes":554,"./attributes":411}],414:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../drawing"),a=t("../../plots/cartesian/axes"),o=t("../../plots/cartesian/axis_ids"),s=t("../../constants/xmlns_namespaces");e.exports=function(t){var e,r,l=t._fullLayout,c=[],u={},f=[];for(r=0;r<l.images.length;r++){var h=l.images[r];if(h.visible)if("below"===h.layer&&"paper"!==h.xref&&"paper"!==h.yref){e=o.ref2id(h.xref)+o.ref2id(h.yref);var p=l._plots[e];if(!p){f.push(h);continue}p.mainplot&&(e=p.mainplot.id),u[e]||(u[e]=[]),u[e].push(h)}else"above"===h.layer?c.push(h):f.push(h)}var 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y=l._imageLowerLayer.selectAll("image").data(f),x=l._imageUpperLayer.selectAll("image").data(c);y.enter().append("image"),x.enter().append("image"),y.exit().remove(),x.exit().remove(),y.each((function(t){m.bind(this)(t),v.bind(this)(t)})),x.each((function(t){m.bind(this)(t),v.bind(this)(t)}));var b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll("image").data(u[e]||[]);w.enter().append("image"),w.exit().remove(),w.each((function(t){m.bind(this)(t),v.bind(this)(t)}))}}}},{"../../constants/xmlns_namespaces":480,"../../plots/cartesian/axes":554,"../../plots/cartesian/axis_ids":558,"../drawing":388,"@plotly/d3":58}],415:[function(t,e,r){"use 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n=t("../../plots/font_attributes"),i=t("../color/attributes");e.exports={bgcolor:{valType:"color",editType:"legend"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"legend"},borderwidth:{valType:"number",min:0,dflt:0,editType:"legend"},font:n({editType:"legend"}),orientation:{valType:"enumerated",values:["v","h"],dflt:"v",editType:"legend"},traceorder:{valType:"flaglist",flags:["reversed","grouped"],extras:["normal"],editType:"legend"},tracegroupgap:{valType:"number",min:0,dflt:10,editType:"legend"},itemsizing:{valType:"enumerated",values:["trace","constant"],dflt:"trace",editType:"legend"},itemwidth:{valType:"number",min:30,dflt:30,editType:"legend"},itemclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggle",editType:"legend"},itemdoubleclick:{valType:"enumerated",values:["toggle","toggleothers",!1],dflt:"toggleothers",editType:"legend"},groupclick:{valType:"enumerated",values:["toggleitem","togglegroup"],dflt:"togglegroup",editType:"legend"},x:{valType:"number",min:-2,max:3,editType:"legend"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"legend"},y:{valType:"number",min:-2,max:3,editType:"legend"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],editType:"legend"},uirevision:{valType:"any",editType:"none"},valign:{valType:"enumerated",values:["top","middle","bottom"],dflt:"middle",editType:"legend"},title:{text:{valType:"string",dflt:"",editType:"legend"},font:n({editType:"legend"}),side:{valType:"enumerated",values:["top","left","top 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b=m[a].label;h[x][b]||(g(x,{label:b,color:m[a].color,i:m[a].i,trace:y,pts:m[a].pts}),h[x][b]=!0,d=Math.max(d,(b||"").length))}else g(x,v),d=Math.max(d,(y.name||"").length)}if(!u.length)return[];var _=!f||!s,w=[];for(r=0;r<u.length;r++){var T=c[u[r]];_?w.push(T[0]):w.push(T)}for(_&&(w=[w]),r=0;r<w.length;r++){var k=1/0;for(a=0;a<w[r].length;a++){var A=w[r][a].trace.legendrank;k>A&&(k=A)}w[r][0]._groupMinRank=k,w[r][0]._preGroupSort=r}var M=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(w.forEach((function(t,e){t[0]._preGroupSort=e})),w.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),r=0;r<w.length;r++){w[r].forEach((function(t,e){t._preSort=e})),w[r].sort(M);var S=w[r][0].trace,E=null;for(a=0;a<w[r].length;a++){var L=w[r][a].trace.legendgrouptitle;if(L&&L.text){E=L,o&&(L.font=e._groupTitleFont);break}}if(l&&w[r].reverse(),E){var 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e=(t._context.toImageButtonOptions||{}).format||"png";return c(t,"png"===e?"Download plot as a png":"Download plot")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||"png"};l.notifier(c(t,"Taking snapshot - this may take a few seconds"),"long"),"svg"!==r.format&&l.isIE()&&(l.notifier(c(t,"IE only supports svg.  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Select")},attr:"dragmode",val:"select",icon:o.selectbox,click:f},u.lasso2d={name:"lasso2d",_cat:"lasso",title:function(t){return c(t,"Lasso Select")},attr:"dragmode",val:"lasso",icon:o.lasso,click:f},u.drawclosedpath={name:"drawclosedpath",title:function(t){return c(t,"Draw closed freeform")},attr:"dragmode",val:"drawclosedpath",icon:o.drawclosedpath,click:f},u.drawopenpath={name:"drawopenpath",title:function(t){return c(t,"Draw open freeform")},attr:"dragmode",val:"drawopenpath",icon:o.drawopenpath,click:f},u.drawline={name:"drawline",title:function(t){return c(t,"Draw line")},attr:"dragmode",val:"drawline",icon:o.drawline,click:f},u.drawrect={name:"drawrect",title:function(t){return c(t,"Draw rectangle")},attr:"dragmode",val:"drawrect",icon:o.drawrect,click:f},u.drawcircle={name:"drawcircle",title:function(t){return c(t,"Draw circle")},attr:"dragmode",val:"drawcircle",icon:o.drawcircle,click:f},u.eraseshape={name:"eraseshape",title:function(t){return c(t,"Erase active shape")},icon:o.eraseshape,click:s},u.zoomIn2d={name:"zoomIn2d",_cat:"zoomin",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:f},u.zoomOut2d={name:"zoomOut2d",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:f},u.autoScale2d={name:"autoScale2d",_cat:"autoscale",title:function(t){return c(t,"Autoscale")},attr:"zoom",val:"auto",icon:o.autoscale,click:f},u.resetScale2d={name:"resetScale2d",_cat:"resetscale",title:function(t){return c(t,"Reset axes")},attr:"zoom",val:"reset",icon:o.home,click:f},u.hoverClosestCartesian={name:"hoverClosestCartesian",_cat:"hoverclosest",title:function(t){return c(t,"Show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:f},u.hoverCompareCartesian={name:"hoverCompareCartesian",_cat:"hoverCompare",title:function(t){return c(t,"Compare data on hover")},attr:"hovermode",val:function(t){return t._fullLayout._isHoriz?"y":"x"},icon:o.tooltip_compare,gravity:"ne",click:f},u.zoom3d={name:"zoom3d",_cat:"zoom",title:function(t){return c(t,"Zoom")},attr:"scene.dragmode",val:"zoom",icon:o.zoombox,click:h},u.pan3d={name:"pan3d",_cat:"pan",title:function(t){return c(t,"Pan")},attr:"scene.dragmode",val:"pan",icon:o.pan,click:h},u.orbitRotation={name:"orbitRotation",title:function(t){return c(t,"Orbital rotation")},attr:"scene.dragmode",val:"orbit",icon:o["3d_rotate"],click:h},u.tableRotation={name:"tableRotation",title:function(t){return c(t,"Turntable rotation")},attr:"scene.dragmode",val:"turntable",icon:o["z-axis"],click:h},u.resetCameraDefault3d={name:"resetCameraDefault3d",_cat:"resetCameraDefault",title:function(t){return c(t,"Reset camera to default")},attr:"resetDefault",icon:o.home,click:p},u.resetCameraLastSave3d={name:"resetCameraLastSave3d",_cat:"resetCameraLastSave",title:function(t){return c(t,"Reset camera to last save")},attr:"resetLastSave",icon:o.movie,click:p},u.hoverClosest3d={name:"hoverClosest3d",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);n.call("_guiRelayout",t,r)}},u.zoomInGeo={name:"zoomInGeo",_cat:"zoomin",title:function(t){return c(t,"Zoom in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:g},u.zoomOutGeo={name:"zoomOutGeo",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:g},u.resetGeo={name:"resetGeo",_cat:"reset",title:function(t){return c(t,"Reset")},attr:"reset",val:null,icon:o.autoscale,click:g},u.hoverClosestGeo={name:"hoverClosestGeo",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestGl2d={name:"hoverClosestGl2d",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:v},u.hoverClosestPie={name:"hoverClosestPie",_cat:"hoverclosest",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:"closest",icon:o.tooltip_basic,gravity:"ne",click:v},u.resetViewSankey={name:"resetSankeyGroup",title:function(t){return c(t,"Reset view")},icon:o.home,click:function(t){for(var e={"node.groups":[],"node.x":[],"node.y":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e["node.groups"].push(i.node.groups.slice()),e["node.x"].push(i.node.x.slice()),e["node.y"].push(i.node.y.slice())}n.call("restyle",t,e)}},u.toggleHover={name:"toggleHover",title:function(t){return c(t,"Toggle show closest data on hover")},attr:"hovermode",val:null,toggle:!0,icon:o.tooltip_basic,gravity:"ne",click:function(t,e){var r=d(t,e);r.hovermode=m(t),n.call("_guiRelayout",t,r)}},u.resetViews={name:"resetViews",title:function(t){return c(t,"Reset views")},icon:o.home,click:function(t,e){var 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 in")},attr:"zoom",val:"in",icon:o.zoom_plus,click:y},u.zoomOutMapbox={name:"zoomOutMapbox",_cat:"zoomout",title:function(t){return c(t,"Zoom out")},attr:"zoom",val:"out",icon:o.zoom_minus,click:y}},{"../../fonts/ploticon":482,"../../lib":503,"../../plots/cartesian/axis_ids":558,"../../plots/plots":619,"../../registry":638,"../shapes/draw":450}],427:[function(t,e,r){"use strict";var n=t("./buttons"),i=Object.keys(n),a=["drawline","drawopenpath","drawclosedpath","drawcircle","drawrect","eraseshape"],o=["v1hovermode","hoverclosest","hovercompare","togglehover","togglespikelines"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),e.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},{"./buttons":426}],428:[function(t,e,r){"use strict";var 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":503,"../../plot_api/plot_template":543,"../color":366,"./attributes":425}],429:[function(t,e,r){"use strict";e.exports={moduleType:"component",name:"modebar",layoutAttributes:t("./attributes"),supplyLayoutDefaults:t("./defaults"),manage:t("./manage")}},{"./attributes":425,"./defaults":428,"./manage":430}],430:[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("smith"),A=e._has("sankey"),M=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),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=["toImage"];s.showEditInChartStudio?C.push("editInChartStudio"):s.showSendToCloud&&C.push("sendDataToCloud");L(C);var 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n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,"scatter-like")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,"box-violin")&&"all"!==n.boxpoints&&"all"!==n.points||(e=!0))}return e})(r)&&z.push("select2d","lasso2d");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==I.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];"string"==typeof N?(N=N.toLowerCase(),-1!==c.indexOf(N)?(e._has("mapbox")||e._has("cartesian"))&&z.push(N):"togglespikelines"===N?R("toggleSpikelines"):"togglehover"===N?R("toggleHover"):"hovercompare"===N?R("hoverCompareCartesian"):"hoverclosest"===N?(R("hoverClosestCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie")):"v1hovermode"===N&&(R("toggleHover"),R("hoverClosestCartesian"),R("hoverCompareCartesian"),R("hoverClosestGeo"),R("hoverClosest3d"),R("hoverClosestGl2d"),R("hoverClosestPie"))):F.push(N)}p=F}return L(z),L(P.concat(O)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),u?u.update(t,f):e._modeBar=s(t,f)}else u&&(u.destroy(),delete e._modeBar)}},{"../../plots/cartesian/axis_ids":558,"../../registry":638,"../../traces/scatter/subtypes":950,"../fx/helpers":402,"./buttons":426,"./constants":427,"./modebar":431}],431:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("fast-isnumeric"),a=t("../../lib"),o=t("../../fonts/ploticon"),s=new DOMParser;function l(t){this.container=t.container,this.element=document.createElement("div"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=l.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i="modebar-"+n._uid;this.element.setAttribute("id",i),this._uid=i,this.element.className="modebar","hover"===r.displayModeBar&&(this.element.className+=" modebar--hover 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e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error("must provide button 'name' in button config");if(-1!==e.buttonsNames.indexOf(n))throw new Error("button name '"+n+"' is taken");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement("div");return t.className="modebar-group",t},c.createButton=function(t){var e=this,r=document.createElement("a");r.setAttribute("rel","tooltip"),r.className="modebar-btn";var i=t.title;void 0===i?i=t.name:"function"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute("data-title",i),void 0!==t.attr&&r.setAttribute("data-attr",t.attr);var a=t.val;if(void 0!==a&&("function"==typeof a&&(a=a(this.graphInfo)),r.setAttribute("data-val",a)),"function"!=typeof t.click)throw new Error("must provide button 'click' function in button config");r.addEventListener("click",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute("data-toggle",t.toggle||!1),t.toggle&&n.select(r).classed("active",!0);var s=t.icon;return"function"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute("data-gravity",t.gravity||"n"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n="http://www.w3.org/2000/svg";if(t.path){(e=document.createElementNS(n,"svg")).setAttribute("viewBox",[0,0,t.width,r].join(" ")),e.setAttribute("class","icon");var a=document.createElementNS(n,"path");a.setAttribute("d",t.path),t.transform?a.setAttribute("transform",t.transform):void 0!==t.ascent&&a.setAttribute("transform","matrix(1 0 0 -1 0 "+t.ascent+")"),e.appendChild(a)}t.svg&&(e=s.parseFromString(t.svg,"application/xml").childNodes[0]);return e.setAttribute("height","1em"),e.setAttribute("width","1em"),e},c.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute("data-attr"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute("data-val")||!0,o=t.getAttribute("data-attr"),s="true"===t.getAttribute("data-toggle"),l=n.select(t);if(s)o===r&&l.classed("active",!l.classed("active"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed("active",c===i)}}))},c.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},c.getLogo=function(){var t=this.createGroup(),e=document.createElement("a");return e.href="https://plotly.com/",e.target="_blank",e.setAttribute("data-title",a._(this.graphInfo,"Produced with Plotly")),e.className="modebar-btn plotlyjsicon 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n=t("../../plots/font_attributes"),i=t("../color/attributes"),a=(0,t("../../plot_api/plot_template").templatedArray)("button",{visible:{valType:"boolean",dflt:!0,editType:"plot"},step:{valType:"enumerated",values:["month","year","day","hour","minute","second","all"],dflt:"month",editType:"plot"},stepmode:{valType:"enumerated",values:["backward","todate"],dflt:"backward",editType:"plot"},count:{valType:"number",min:0,dflt:1,editType:"plot"},label:{valType:"string",editType:"plot"},editType:"plot"});e.exports={visible:{valType:"boolean",editType:"plot"},buttons:a,x:{valType:"number",min:-2,max:3,editType:"plot"},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"left",editType:"plot"},y:{valType:"number",min:-2,max:3,editType:"plot"},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"bottom",editType:"plot"},font:n({editType:"plot"}),bgcolor:{valType:"color",dflt:i.lightLine,editType:"plot"},activecolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:i.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"plot"}},{"../../plot_api/plot_template":543,"../../plots/font_attributes":585,"../color/attributes":365}],433:[function(t,e,r){"use 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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}},{}],461:[function(t,e,r){"use 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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 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n=t("../../plots/font_attributes"),i=t("../color/attributes"),a=t("../../lib/extend").extendFlat,o=t("../../plot_api/edit_types").overrideAll,s=t("../../plots/pad_attributes"),l=t("../../plot_api/plot_template").templatedArray,c=l("button",{visible:{valType:"boolean"},method:{valType:"enumerated",values:["restyle","relayout","animate","update","skip"],dflt:"restyle"},args:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},args2:{valType:"info_array",freeLength:!0,items:[{valType:"any"},{valType:"any"},{valType:"any"}]},label:{valType:"string",dflt:""},execute:{valType:"boolean",dflt:!0}});e.exports=o(l("updatemenu",{_arrayAttrRegexps:[/^updatemenus\[(0|[1-9][0-9]+)\]\.buttons/],visible:{valType:"boolean"},type:{valType:"enumerated",values:["dropdown","buttons"],dflt:"dropdown"},direction:{valType:"enumerated",values:["left","right","up","down"],dflt:"down"},active:{valType:"integer",min:-1,dflt:0},showactive:{valType:"boolean",dflt:!0},buttons:c,x:{valType:"number",min:-2,max:3,dflt:-.05},xanchor:{valType:"enumerated",values:["auto","left","center","right"],dflt:"right"},y:{valType:"number",min:-2,max:3,dflt:1},yanchor:{valType:"enumerated",values:["auto","top","middle","bottom"],dflt:"top"},pad:a(s({editType:"arraydraw"}),{}),font:n({}),bgcolor:{valType:"color"},bordercolor:{valType:"color",dflt:i.borderLine},borderwidth:{valType:"number",min:0,dflt:1,editType:"arraydraw"}}),"arraydraw","from-root")},{"../../lib/extend":493,"../../plot_api/edit_types":536,"../../plot_api/plot_template":543,"../../plots/font_attributes":585,"../../plots/pad_attributes":618,"../color/attributes":365}],466:[function(t,e,r){"use 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k=g>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=m+v;E+M>c&&(E=c-M);var L=this.container.selectAll("rect.scrollbar-horizontal").data(k?[0]:[]);L.exit().on(".drag",null).remove(),L.enter().append("rect").classed("scrollbar-horizontal",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=v>T,P=s.barWidth+2*s.barPad,I=s.barLength+2*s.barPad,O=d+g,z=m;O+P>l&&(O=l-P);var D=this.container.selectAll("rect.scrollbar-vertical").data(C?[0]:[]);D.exit().on(".drag",null).remove(),D.enter().append("rect").classed("scrollbar-vertical",!0).call(i.fill,s.barColor),C?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:O,y:z,width:P,height:I}),this._vbarYMin=z+I/2,this._vbarTranslateMax=T-I):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var 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H=n.behavior.drag().on("dragstart",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on("drag",this._onBarDrag.bind(this));k&&this.hbar.on(".drag",null).call(H),C&&this.vbar.on(".drag",null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on("wheel",null).on(".drag",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(".drag",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(".drag",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},{"../../lib":503,"../color":366,"../drawing":388,"@plotly/d3":58}],471:[function(t,e,r){"use strict";e.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:"right",right:"left",top:"bottom",bottom:"top"}}},{}],472:[function(t,e,r){"use strict";e.exports={axisRefDescription:function(t,e,r){return["If set to a",t,"axis id (e.g. *"+t+"* or","*"+t+"2*), the `"+t+"` position refers to a",t,"coordinate. 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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 H(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(),q=i.plotinfo,G=I(q),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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a.cleanDate(e,g,t.calendar)}):"category"===t.type?(t.d2c=t.d2l=I,t.r2d=t.c2d=t.l2d=P,t.d2r=t.d2l_noadd=z,t.r2c=function(e){var r=D(e);return void 0!==r?r:t.fraction2r(.5)},t.l2r=t.c2r=f,t.r2l=D,t.d2p=function(e){return t.l2p(t.r2c(e))},t.p2d=function(t){return P(N(t))},t.r2p=t.d2p,t.p2r=N,t.cleanPos=function(t){return"string"==typeof t&&""!==t?t:f(t)}):"multicategory"===t.type&&(t.r2d=t.c2d=t.l2d=P,t.d2r=t.d2l_noadd=z,t.r2c=function(e){var r=z(e);return void 0!==r?r:t.fraction2r(.5)},t.r2c_just_indices=O,t.l2r=t.c2r=f,t.r2l=z,t.d2p=function(e){return t.l2p(t.r2c(e))},t.p2d=function(t){return P(N(t))},t.r2p=t.d2p,t.p2r=N,t.cleanPos=function(t){return Array.isArray(t)||"string"==typeof t&&""!==t?t:f(t)},t.setupMultiCategory=function(n){var i,o,s=t._traceIndices,l=t._matchGroup;if(l&&0===t._categories.length)for(var c in l)if(c!==r){var u=e[w.id2name(c)];s=s.concat(u._traceIndices)}var f=[[0,{}],[0,{}]],d=[];for(i=0;i<s.length;i++){var g=n[s[i]];if(p in g){var 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n,i,o=a.nestedProperty(t,e).get();if(i=(i="date"===t.type?a.dfltRange(t.calendar):"y"===p?T.DFLTRANGEY:"realaxis"===t._name?[0,1]:r.dfltRange||T.DFLTRANGEX).slice(),"tozero"!==t.rangemode&&"nonnegative"!==t.rangemode||(i[0]=0),o&&2===o.length)for("date"!==t.type||t.autorange||(o[0]=a.cleanDate(o[0],g,t.calendar),o[1]=a.cleanDate(o[1],g,t.calendar)),n=0;n<2;n++)if("date"===t.type){if(!a.isDateTime(o[n],t.calendar)){t[e]=i;break}if(t.r2l(o[0])===t.r2l(o[1])){var l=a.constrain(t.r2l(o[0]),a.MIN_MS+1e3,a.MAX_MS-1e3);o[0]=t.l2r(l-1e3),o[1]=t.l2r(l+1e3);break}}else{if(!s(o[n])){if(!s(o[1-n])){t[e]=i;break}o[n]=o[1-n]*(n?10:.1)}if(o[n]<-d?o[n]=-d:o[n]>d&&(o[n]=d),o[0]===o[1]){var c=Math.max(1,Math.abs(1e-6*o[0]));o[0]-=c,o[1]+=c}}else a.nestedProperty(t,e).set(i)},t.setScale=function(r){var n=e._size;if(t.overlaying){var i=w.getFromId({_fullLayout:e},t.overlaying);t.domain=i.domain}var a=r&&t._r?"_r":"range",o=t.calendar;t.cleanRange(a);var s,l,c=t.r2l(t[a][0],o),u=t.r2l(t[a][1],o),f="y"===p;if((f?(t._offset=n.t+(1-t.domain[1])*n.h,t._length=n.h*(t.domain[1]-t.domain[0]),t._m=t._length/(c-u),t._b=-t._m*u):(t._offset=n.l+t.domain[0]*n.w,t._length=n.w*(t.domain[1]-t.domain[0]),t._m=t._length/(u-c),t._b=-t._m*c),t._rangebreaks=[],t._lBreaks=0,t._m2=0,t._B=[],t.rangebreaks)&&(t._rangebreaks=t.locateBreaks(Math.min(c,u),Math.max(c,u)),t._rangebreaks.length)){for(s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._lBreaks+=Math.abs(l.max-l.min);var h=f;c>u&&(h=!h),h&&t._rangebreaks.reverse();var d=h?-1:1;for(t._m2=d*t._length/(Math.abs(u-c)-t._lBreaks),t._B.push(-t._m2*(f?u:c)),s=0;s<t._rangebreaks.length;s++)l=t._rangebreaks[s],t._B.push(t._B[t._B.length-1]-d*t._m2*(l.max-l.min));for(s=0;s<t._rangebreaks.length;s++)(l=t._rangebreaks[s]).pmin=B(l.min),l.pmax=B(l.max)}if(!isFinite(t._m)||!isFinite(t._b)||t._length<0)throw e._replotting=!1,new Error("Something went wrong with axis scaling")},t.maskBreaks=function(e){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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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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t=this,e=t.graphDiv,r=e._fullLayout,i="clip"+r._uid+t.id;t.clipDef=r._clips.append("clipPath").attr("id",i),t.clipRect=t.clipDef.append("rect"),t.framework=n.select(t.container).append("g").attr("class","geo "+t.id).call(h.setClipUrl,i,e),t.project=function(e){var r=t.projection(e);return r?[r[0]-t.xaxis._offset,r[1]-t.yaxis._offset]:[null,null]},t.xaxis={_id:"x",c2p:function(e){return t.project(e)[0]}},t.yaxis={_id:"y",c2p:function(e){return t.project(e)[1]}},t.mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},g.setConvert(t.mockAxis,r)},S.saveViewInitial=function(t){var e,r=t.center||{},n=t.projection,i=n.rotation||{};this.viewInitial={fitbounds:t.fitbounds,"projection.scale":n.scale},e=t._isScoped?{"center.lon":r.lon,"center.lat":r.lat}:t._isClipped?{"projection.rotation.lon":i.lon,"projection.rotation.lat":i.lat}:{"center.lon":r.lon,"center.lat":r.lat,"projection.rotation.lon":i.lon},c.extendFlat(this.viewInitial,e)},S.render=function(){var 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n=t("../../components/color/attributes"),i=t("../domain").attributes,a=t("./constants"),o=t("../../plot_api/edit_types").overrideAll,s=t("../../lib/sort_object_keys"),l={range:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},showgrid:{valType:"boolean",dflt:!1},tick0:{valType:"number",dflt:0},dtick:{valType:"number"},gridcolor:{valType:"color",dflt:n.lightLine},gridwidth:{valType:"number",min:0,dflt:1}};(e.exports=o({domain:i({name:"geo"},{}),fitbounds:{valType:"enumerated",values:[!1,"locations","geojson"],dflt:!1,editType:"plot"},resolution:{valType:"enumerated",values:[110,50],dflt:110,coerceNumber:!0},scope:{valType:"enumerated",values:s(a.scopeDefaults),dflt:"world"},projection:{type:{valType:"enumerated",values:s(a.projNames)},rotation:{lon:{valType:"number"},lat:{valType:"number"},roll:{valType:"number"}},tilt:{valType:"number",dflt:0},distance:{valType:"number",min:1.001,dflt:2},parallels:{valType:"info_array",items:[{valType:"number"},{valType:"number"}]},scale:{valType:"number",min:0,dflt:1}},center:{lon:{valType:"number"},lat:{valType:"number"}},visible:{valType:"boolean",dflt:!0},showcoastlines:{valType:"boolean"},coastlinecolor:{valType:"color",dflt:n.defaultLine},coastlinewidth:{valType:"number",min:0,dflt:1},showland:{valType:"boolean",dflt:!1},landcolor:{valType:"color",dflt:a.landColor},showocean:{valType:"boolean",dflt:!1},oceancolor:{valType:"color",dflt:a.waterColor},showlakes:{valType:"boolean",dflt:!1},lakecolor:{valType:"color",dflt:a.waterColor},showrivers:{valType:"boolean",dflt:!1},rivercolor:{valType:"color",dflt:a.waterColor},riverwidth:{valType:"number",min:0,dflt:1},showcountries:{valType:"boolean"},countrycolor:{valType:"color",dflt:n.defaultLine},countrywidth:{valType:"number",min:0,dflt:1},showsubunits:{valType:"boolean"},subunitcolor:{valType:"color",dflt:n.defaultLine},subunitwidth:{valType:"number",min:0,dflt:1},showframe:{valType:"boolean"},framecolor:{valType:"color",dflt:n.defaultLine},framewidth:{valType:"number",min:0,dflt:1},bgcolor:{valType:"color",dflt:n.background},lonaxis:l,lataxis:l},"plot","from-root")).uirevision={valType:"any",editType:"none"}},{"../../components/color/attributes":365,"../../lib/sort_object_keys":526,"../../plot_api/edit_types":536,"../domain":584,"./constants":587}],591:[function(t,e,r){"use 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n=t("@plotly/d3"),i=t("../../lib"),a=t("../../registry"),o=Math.PI/180,s=180/Math.PI,l={cursor:"pointer"},c={cursor:"auto"};function u(t,e){return n.behavior.zoom().translate(e.translate()).scale(e.scale())}function f(t,e,r){var n=t.id,o=t.graphDiv,s=o.layout,l=s[n],c=o._fullLayout,u=c[n],f={},h={};function p(t,e){f[n+"."+t]=i.nestedProperty(l,t).get(),a.call("_storeDirectGUIEdit",s,c._preGUI,f);var r=i.nestedProperty(u,t);r.get()!==e&&(r.set(e),i.nestedProperty(l,t).set(e),h[n+"."+t]=e)}r(p),p("projection.scale",e.scale()/t.fitScale),p("fitbounds",!1),o.emit("plotly_relayout",h)}function h(t,e){var r=u(0,e);function i(r){var n=e.invert(t.midPt);r("center.lon",n[0]),r("center.lat",n[1])}return r.on("zoomstart",(function(){n.select(this).style(l)})).on("zoom",(function(){e.scale(n.event.scale).translate(n.event.translate),t.render();var r=e.invert(t.midPt);t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.center.lon":r[0],"geo.center.lat":r[1]})})).on("zoomend",(function(){n.select(this).style(c),f(t,e,i)})),r}function p(t,e){var r,i,a,o,s,h,p,d,g,m=u(0,e);function v(t){return e.invert(t)}function y(r){var n=e.rotate(),i=e.invert(t.midPt);r("projection.rotation.lon",-n[0]),r("center.lon",i[0]),r("center.lat",i[1])}return m.on("zoomstart",(function(){n.select(this).style(l),r=n.mouse(this),i=e.rotate(),a=e.translate(),o=i,s=v(r)})).on("zoom",(function(){if(h=n.mouse(this),function(t){var r=v(t);if(!r)return!0;var n=e(r);return Math.abs(n[0]-t[0])>2||Math.abs(n[1]-t[1])>2}(r))return m.scale(e.scale()),void m.translate(e.translate());e.scale(n.event.scale),e.translate([a[0],n.event.translate[1]]),s?v(h)&&(d=v(h),p=[o[0]+(d[0]-s[0]),i[1],i[2]],e.rotate(p),o=p):s=v(r=h),g=!0,t.render();var l=e.rotate(),c=e.invert(t.midPt);t.graphDiv.emit("plotly_relayouting",{"geo.projection.scale":e.scale()/t.fitScale,"geo.center.lon":c[0],"geo.center.lat":c[1],"geo.projection.rotation.lon":-l[0]})})).on("zoomend",(function(){n.select(this).style(c),g&&f(t,e,y)})),m}function d(t,e){var r,i={r:e.rotate(),k:e.scale()},a=u(0,e),o=function(t){var e=0,r=arguments.length,i=[];for(;++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,"zoomstart","zoom","zoomend"),s=0,h=a.on;function p(t){s++||t({type:"zoomstart"})}function d(t){t({type:"zoom"})}function b(t){--s||t({type:"zoomend"})}function _(t){var r=e.rotate();t("projection.rotation.lon",-r[0]),t("projection.rotation.lat",-r[1])}return a.on("zoomstart",(function(){n.select(this).style(l);var t=n.mouse(this),s=e.rotate(),c=s,u=e.translate(),f=m(s);r=g(e,t),h.call(a,"zoom",(function(){var 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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":528,"../cartesian/axes":554}],596:[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":407,"../../constants/xmlns_namespaces":480,"../../plot_api/edit_types":536,"../cartesian":568,"../cartesian/attributes":552,"../cartesian/constants":561,"../get_data":593,"../layout_attributes":610,"./scene2d":597}],597:[function(t,e,r){"use strict";var n,i,a=t("../../registry"),o=t("../../plots/cartesian/axes"),s=t("../../components/fx"),l=t("../../../stackgl_modules").gl_plot2d,c=t("../../../stackgl_modules").gl_spikes2d,u=t("../../../stackgl_modules").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}}},{"../../../stackgl_modules":1119,"../../components/dragelement/helpers":384,"../../components/fx":406,"../../lib/show_no_webgl_msg":525,"../../plots/cartesian/axes":554,"../../registry":638,"../cartesian/autorange":553,"../cartesian/constants":561,"../cartesian/constraints":562,"./camera":594,"./convert":595,"webgl-context":331}],598:[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":407,"../../constants/xmlns_namespaces":480,"../../lib":503,"../../plot_api/edit_types":536,"../get_data":593,"./layout/attributes":599,"./layout/defaults":603,"./layout/layout_attributes":604,"./scene":608}],599:[function(t,e,r){"use strict";e.exports={scene:{valType:"subplotid",dflt:"scene",editType:"calc+clearAxisTypes"}}},{}],600:[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, 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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":366,"../../../lib/extend":493,"../../../plot_api/edit_types":536,"../../cartesian/layout_attributes":569}],601:[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":503,"../../../plot_api/plot_template":543,"../../cartesian/axis_defaults":556,"../../cartesian/type_defaults":582,"./axis_attributes":600,tinycolor2:312}],602:[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 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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":503,"../../../lib/str2rgbarray":528}],603:[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":366,"../../../lib":503,"../../../registry":638,"../../get_data":593,"../../subplot_defaults":632,"./axis_defaults":601,"./layout_attributes":604}],604:[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":503,"../../../lib/extend":493,"../../domain":584,"./axis_attributes":600}],605:[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":528}],606:[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":503,"../../cartesian/axes":554}],607:[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])))}},{}],608:[function(t,e,r){"use strict";var n,i,a=t("../../../stackgl_modules").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=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g<c.length;++g)"skip"!==(t=e.traces[c[g]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function m(t,r,n){var i=e.fullSceneLayout[t+"axis"];return"log"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:m("x",h.traceCoordinate[0],t.xhoverformat),yLabel:m("y",h.traceCoordinate[1],t.yhoverformat),zLabel:m("z",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||"").split("+"),M=k&&"all"===k;_.hovertemplate||M||(-1===A.indexOf("x")&&(T.xLabel=void 0),-1===A.indexOf("y")&&(T.yLabel=void 0),-1===A.indexOf("z")&&(T.zLabel=void 0),-1===A.indexOf("text")&&(h.textLabel=void 0),-1===A.indexOf("name")&&(u.name=void 0));var S=[];"cone"===t.type||"streamtube"===t.type?(T.uLabel=m("x",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf("u"))&&S.push("u: "+T.uLabel),T.vLabel=m("y",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf("v"))&&S.push("v: "+T.vLabel),T.wLabel=m("z",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf("w"))&&S.push("w: "+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf("norm"))&&S.push("norm: "+T.normLabel),"streamtube"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf("divergence"))&&S.push("divergence: "+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):"isosurface"===t.type||"volume"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push("value: "+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join("<br>")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,"bgcolor")||u.color,borderColor:d.castHoverOption(_,w,"bordercolor"),fontFamily:d.castHoverOption(_,w,"font.family"),fontSize:d.castHoverOption(_,w,"font.size"),fontColor:d.castHoverOption(_,w,"font.color"),nameLength:d.castHoverOption(_,w,"namelength"),textAlign:d.castHoverOption(_,w,"align"),hovertemplate:f.castOption(_,w,"hovertemplate"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit("plotly_click",L):r.emit("plotly_hover",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit("plotly_unhover",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},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 s,l=o.getContext("2d"),c=l.createImageData(r,i);switch(c.data.set(a),l.putImageData(c,0,0),t){case"jpeg":s=o.toDataURL("image/jpeg");break;case"webp":s=o.toDataURL("image/webp");break;default:s=o.toDataURL("image/png")}return this.staticMode&&this.container.removeChild(n),s},w.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[k[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},w.make4thDimension=function(){var t=this.graphDiv._fullLayout;this._mockAxis={type:"linear",showexponent:"all",exponentformat:"B"},p.setConvert(this._mockAxis,t)},e.exports=_},{"../../../stackgl_modules":1119,"../../components/fx":406,"../../lib":503,"../../lib/show_no_webgl_msg":525,"../../lib/str2rgbarray":528,"../../plots/cartesian/axes":554,"../../registry":638,"./layout/convert":602,"./layout/spikes":605,"./layout/tick_marks":606,"./project":607,"has-passive-events":229,"webgl-context":331}],609:[function(t,e,r){"use 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}},{}],610:[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(" "),s={"open-street-map":{id:"osm",version:8,sources:{"plotly-osm-tiles":{type:"raster",attribution:i,tiles:["https://a.tile.openstreetmap.org/{z}/{x}/{y}.png","https://b.tile.openstreetmap.org/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-osm-tiles",type:"raster",source:"plotly-osm-tiles",minzoom:0,maxzoom:22}]},"white-bg":{id:"white-bg",version:8,sources:{},layers:[{id:"white-bg",type:"background",paint:{"background-color":"#FFFFFF"},minzoom:0,maxzoom:22}]},"carto-positron":{id:"carto-positron",version:8,sources:{"plotly-carto-positron":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-positron",type:"raster",source:"plotly-carto-positron",minzoom:0,maxzoom:22}]},"carto-darkmatter":{id:"carto-darkmatter",version:8,sources:{"plotly-carto-darkmatter":{type:"raster",attribution:a,tiles:["https://cartodb-basemaps-c.global.ssl.fastly.net/dark_all/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-carto-darkmatter",type:"raster",source:"plotly-carto-darkmatter",minzoom:0,maxzoom:22}]},"stamen-terrain":{id:"stamen-terrain",version:8,sources:{"plotly-stamen-terrain":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-terrain",type:"raster",source:"plotly-stamen-terrain",minzoom:0,maxzoom:22}]},"stamen-toner":{id:"stamen-toner",version:8,sources:{"plotly-stamen-toner":{type:"raster",attribution:o,tiles:["https://stamen-tiles.a.ssl.fastly.net/toner/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-toner",type:"raster",source:"plotly-stamen-toner",minzoom:0,maxzoom:22}]},"stamen-watercolor":{id:"stamen-watercolor",version:8,sources:{"plotly-stamen-watercolor":{type:"raster",attribution:['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://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>'].join(" "),tiles:["https://stamen-tiles.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png"],tileSize:256}},layers:[{id:"plotly-stamen-watercolor",type:"raster",source:"plotly-stamen-watercolor",minzoom:0,maxzoom:22}]}},l=n(s);e.exports={requiredVersion:"1.10.1",styleUrlPrefix:"mapbox://styles/mapbox/",styleUrlSuffix:"v9",styleValuesMapbox:["basic","streets","outdoors","light","dark","satellite","satellite-streets"],styleValueDflt:"basic",stylesNonMapbox:s,styleValuesNonMapbox:l,traceLayerPrefix:"plotly-trace-layer-",layoutLayerPrefix:"plotly-layout-layer-",wrongVersionErrorMsg:["Your custom plotly.js bundle is not using the correct mapbox-gl 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16.59,8.09 14.74,6.25 Z m -2.27,4.09 -0.91,1.87 -0.9,-1.87 -1.86,-0.91 1.86,-0.9 0.9,-1.87 0.91,1.87 1.86,0.9 z" style="opacity:0.35;enable-background:new" class="st1"/%3E%3Cpolygon points="11.56,12.21 10.66,10.34 8.8,9.43 10.66,8.53 11.56,6.66 12.47,8.53 14.33,9.43 12.47,10.34 " style="opacity:0.9;fill:%23ffffff;enable-background:new" class="st0"/%3E%3C/g%3E%3C/svg%3E\')'}}},{"../../lib/sort_object_keys":526}],612:[function(t,e,r){"use strict";var n=t("../../lib");e.exports=function(t,e){var r=t.split(" "),i=r[0],a=r[1],o=n.isArrayOrTypedArray(e)?n.mean(e):e,s=.5+o/100,l=1.5+o/100,c=["",""],u=[0,0];switch(i){case"top":c[0]="top",u[1]=-l;break;case"bottom":c[0]="bottom",u[1]=l}switch(a){case"left":c[1]="right",u[0]=-s;break;case"right":c[1]="left",u[0]=s}return{anchor:c[0]&&c[1]?c.join("-"):c[0]?c[0]:c[1]?c[1]:"center",offset:u}}},{"../../lib":503}],613:[function(t,e,r){"use strict";var n=t("mapbox-gl/dist/mapbox-gl-unminified"),i=t("../../lib"),a=i.strTranslate,o=i.strScale,s=t("../../plots/get_data").getSubplotCalcData,l=t("../../constants/xmlns_namespaces"),c=t("@plotly/d3"),u=t("../../components/drawing"),f=t("../../lib/svg_text_utils"),h=t("./mapbox"),p=r.constants=t("./constants");function d(t){return"string"==typeof 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 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s=e[r[i]],h=s.domain,d=s._subplot.toImage("png");e._glimages.append("svg:image").attr({xmlns:l.svg,"xlink:href":d,x:n.l+n.w*h.x[0],y:n.t+n.h*(1-h.y[1]),width:n.w*(h.x[1]-h.x[0]),height:n.h*(h.y[1]-h.y[0]),preserveAspectRatio:"none"});var 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 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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 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n=t("../../lib").extendFlat,i=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,a=t("../ohlc/attributes"),o=t("../box/attributes");function s(t){return{line:{color:n({},o.line.color,{dflt:t}),width:o.line.width,editType:"style"},fillcolor:o.fillcolor,editType:"style"}}e.exports={xperiod:a.xperiod,xperiod0:a.xperiod0,xperiodalignment:a.xperiodalignment,xhoverformat:i("x"),yhoverformat:i("y"),x:a.x,open:a.open,high:a.high,low:a.low,close:a.close,line:{width:n({},o.line.width,{}),editType:"style"},increasing:s(a.increasing.line.color.dflt),decreasing:s(a.decreasing.line.color.dflt),text:a.text,hovertext:a.hovertext,whiskerwidth:n({},o.whiskerwidth,{dflt:0}),hoverlabel:a.hoverlabel}},{"../../lib":503,"../../plots/cartesian/axis_format_attributes":557,"../box/attributes":673,"../ohlc/attributes":871}],686:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../plots/cartesian/axes"),a=t("../../plots/cartesian/align_period"),o=t("../ohlc/calc").calcCommon;function 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n=t("../../lib/extend").extendFlat,i=t("../../lib/extend").extendDeep,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../components/color/attributes"),l=t("../../plots/domain").attributes,c=t("../../plots/cartesian/layout_attributes"),u=t("../../plot_api/plot_template").templatedArray,f=t("../../constants/delta.js"),h=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers,p=o({editType:"plot",colorEditType:"plot"}),d={color:{valType:"color",editType:"plot"},line:{color:{valType:"color",dflt:s.defaultLine,editType:"plot"},width:{valType:"number",min:0,dflt:0,editType:"plot"},editType:"calc"},thickness:{valType:"number",min:0,max:1,dflt:1,editType:"plot"},editType:"calc"},g={valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},m=u("step",i({},d,{range:g}));e.exports={mode:{valType:"flaglist",editType:"calc",flags:["number","delta","gauge"],dflt:"number"},value:{valType:"number",editType:"calc",anim:!0},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},domain:l({name:"indicator",trace:!0,editType:"calc"}),title:{text:{valType:"string",editType:"plot"},align:{valType:"enumerated",values:["left","center","right"],editType:"plot"},font:n({},p,{}),editType:"plot"},number:{valueformat:{valType:"string",dflt:"",editType:"plot",description:h("value")},font:n({},p,{}),prefix:{valType:"string",dflt:"",editType:"plot"},suffix:{valType:"string",dflt:"",editType:"plot"},editType:"plot"},delta:{reference:{valType:"number",editType:"calc"},position:{valType:"enumerated",values:["top","bottom","left","right"],dflt:"bottom",editType:"plot"},relative:{valType:"boolean",editType:"plot",dflt:!1},valueformat:{valType:"string",editType:"plot",description:h("value")},increasing:{symbol:{valType:"string",dflt:f.INCREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:f.INCREASING.COLOR,editType:"plot"},editType:"plot"},decreasing:{symbol:{valType:"string",dflt:f.DECREASING.SYMBOL,editType:"plot"},color:{valType:"color",dflt:f.DECREASING.COLOR,editType:"plot"},editType:"plot"},font:n({},p,{}),editType:"calc"},gauge:{shape:{valType:"enumerated",editType:"plot",dflt:"angular",values:["angular","bullet"]},bar:i({},d,{color:{dflt:"green"}}),bgcolor:{valType:"color",editType:"plot"},bordercolor:{valType:"color",dflt:s.defaultLine,editType:"plot"},borderwidth:{valType:"number",min:0,dflt:1,editType:"plot"},axis:a({range:g,visible:n({},c.visible,{dflt:!0}),tickmode:c.tickmode,nticks:c.nticks,tick0:c.tick0,dtick:c.dtick,tickvals:c.tickvals,ticktext:c.ticktext,ticks:n({},c.ticks,{dflt:"outside"}),ticklen:c.ticklen,tickwidth:c.tickwidth,tickcolor:c.tickcolor,showticklabels:c.showticklabels,tickfont:o({}),tickangle:c.tickangle,tickformat:c.tickformat,tickformatstops:c.tickformatstops,tickprefix:c.tickprefix,showtickprefix:c.showtickprefix,ticksuffix:c.ticksuffix,showticksuffix:c.showticksuffix,separatethousands:c.separatethousands,exponentformat:c.exponentformat,minexponent:c.minexponent,showexponent:c.showexponent,editType:"plot"},"plot"),steps:m,threshold:{line:{color:n({},d.line.color,{}),width:n({},d.line.width,{dflt:1}),editType:"plot"},thickness:n({},d.thickness,{dflt:.85}),value:{valType:"number",editType:"calc",dflt:!1},editType:"plot"},editType:"plot"}}},{"../../components/color/attributes":365,"../../constants/delta.js":473,"../../lib/extend":493,"../../plot_api/edit_types":536,"../../plot_api/plot_template":543,"../../plots/cartesian/axis_format_attributes":557,"../../plots/cartesian/layout_attributes":569,"../../plots/domain":584,"../../plots/font_attributes":585}],855:[function(t,e,r){"use 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n=t("../../lib"),i=t("./attributes"),a=t("../../plots/domain").defaults,o=t("../../plot_api/plot_template"),s=t("../../plots/array_container_defaults"),l=t("./constants.js"),c=t("../../plots/cartesian/tick_value_defaults"),u=t("../../plots/cartesian/tick_mark_defaults"),f=t("../../plots/cartesian/tick_label_defaults"),h=t("../../plots/cartesian/prefix_suffix_defaults");function p(t,e){function r(r,a){return n.coerce(t,e,i.gauge.steps,r,a)}r("color"),r("line.color"),r("line.width"),r("range"),r("thickness")}e.exports={supplyDefaults:function(t,e,r,d){function g(r,a){return n.coerce(t,e,i,r,a)}a(e,d,g),g("mode"),e._hasNumber=-1!==e.mode.indexOf("number"),e._hasDelta=-1!==e.mode.indexOf("delta"),e._hasGauge=-1!==e.mode.indexOf("gauge");var m=g("value");e._range=[0,"number"==typeof m?1.5*m:1];var v,y,x,b,_,w,T=new Array(2);function k(t,e){return n.coerce(x,b,i.gauge,t,e)}function A(t,e){return 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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,H=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 q=h.bulletPadding,G=1-h.bulletNumberDomainSize+q;g=B.l+(G+(1-G)*b[H])*B.w,L=function(t){return A(t,(h.bulletNumberDomainSize-q)*B.w,B.h)}}}else g=B.l+b[H]*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 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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 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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,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);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,H,q;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 R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr("transform",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{"../../components/color":366,"../../components/drawing":388,"../../constants/alignment":471,"../../lib":503,"../../lib/svg_text_utils":529,"../../plots/cartesian/axes":554,"../../plots/cartesian/axis_defaults":556,"../../plots/cartesian/layout_attributes":569,"../../plots/cartesian/position_defaults":572,"./constants":857,"@plotly/d3":58,"d3-interpolate":116}],861:[function(t,e,r){"use strict";var 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 u=e.exports=c(l({x:{valType:"data_array"},y:{valType:"data_array"},z:{valType:"data_array"},value:{valType:"data_array"},isomin:{valType:"number"},isomax:{valType:"number"},surface:{show:{valType:"boolean",dflt:!0},count:{valType:"integer",dflt:2,min:1},fill:{valType:"number",min:0,max:1,dflt:1},pattern:{valType:"flaglist",flags:["A","B","C","D","E"],extras:["all","odd","even"],dflt:"all"}},spaceframe:{show:{valType:"boolean",dflt:!1},fill:{valType:"number",min:0,max:1,dflt:.15}},slices:{x:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!1},locations:{valType:"data_array",dflt:[]},fill:{valType:"number",min:0,max:1,dflt:1}}},caps:{x:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},y:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}},z:{show:{valType:"boolean",dflt:!0},fill:{valType:"number",min:0,max:1,dflt:1}}},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:a(),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),valuehoverformat:i("value",1),showlegend:l({},s.showlegend,{dflt:!1})},n("",{colorAttr:"`value`",showScaleDflt:!0,editTypeOverride:"calc"}),{opacity:o.opacity,lightposition:o.lightposition,lighting:o.lighting,flatshading:o.flatshading,contour:o.contour,hoverinfo:l({},s.hoverinfo)}),"calc","nested");u.flatshading.dflt=!0,u.lighting.facenormalsepsilon.dflt=0,u.x.editType=u.y.editType=u.z.editType=u.value.editType="calc+clearAxisTypes",u.transforms=void 0},{"../../components/colorscale/attributes":373,"../../lib/extend":493,"../../plot_api/edit_types":536,"../../plots/attributes":550,"../../plots/cartesian/axis_format_attributes":557,"../../plots/template_attributes":633,"../mesh3d/attributes":866}],862:[function(t,e,r){"use strict";var n=t("../../components/colorscale/calc"),i=t("../streamtube/calc").processGrid,a=t("../streamtube/calc").filter;e.exports=function(t,e){e._len=Math.min(e.x.length,e.y.length,e.z.length,e.value.length),e._x=a(e.x,e._len),e._y=a(e.y,e._len),e._z=a(e.z,e._len),e._value=a(e.value,e._len);var r=i(e);e._gridFill=r.fill,e._Xs=r.Xs,e._Ys=r.Ys,e._Zs=r.Zs,e._len=r.len;for(var o=1/0,s=-1/0,l=0;l<e._len;l++){var c=e._value[l];o=Math.min(o,c),s=Math.max(s,c)}e._minValues=o,e._maxValues=s,e._vMin=void 0===e.isomin||null===e.isomin?o:e.isomin,e._vMax=void 0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:"",cLetter:"c"})}},{"../../components/colorscale/calc":374,"../streamtube/calc":1040}],863:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_mesh3d,i=t("../../lib/gl_format_color").parseColorScale,a=t("../../lib/str2rgbarray"),o=t("../../components/colorscale").extractOpts,s=t("../../plots/gl3d/zip3"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name="",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),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:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=["xyz","xzy","yxz","yzx","zxy","zyx"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var e,r,n,i,a,o,s,c=t.surface.show,u=t.spaceframe.show,h=t.surface.fill,p=t.spaceframe.fill,d=!1,g=!1,m=0,v=t._Xs,y=t._Ys,x=t._Zs,b=v.length,_=y.length,w=x.length,T=f.indexOf(t._gridFill.replace(/-/g,"").replace(/\+/g,"")),k=function(t,e,r){switch(T){case 5:return r+w*e+w*_*t;case 4:return r+w*t+w*b*e;case 3:return e+_*r+_*w*t;case 2:return e+_*t+_*b*r;case 1:return t+b*r+b*w*e;default:return t+b*e+b*_*r}},A=t._minValues,M=t._maxValues,S=t._vMin,E=t._vMax;function L(t,e,s){for(var l=o.length,c=r;c<l;c++)if(t===n[c]&&e===i[c]&&s===a[c])return c;return-1}function C(){r=e}function P(){n=[],i=[],a=[],o=[],e=0,C()}function I(t,r,s,l){return n.push(t),i.push(r),a.push(s),o.push(l),++e-1}function O(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=t[i]*(1-r)+r*e[i];return n}function z(t){s=t}function D(t,e){return"all"===t||null===t||t.indexOf(e)>-1}function R(t,e){return null===t?e:t}function F(e,r,n){C();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var r=t[0],n=t[1],i=t[2],a=function(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=(t[i]+e[i]+r[i])/3;return n}(r,n,i),o=Math.sqrt(1-s),l=O(a,r,o),c=O(a,n,o),u=O(a,i,o),f=e[0],h=e[1],p=e[2];return{xyzv:[[r,n,c],[c,l,r],[n,i,u],[u,c,n],[i,r,l],[l,u,i]],abc:[[f,h,-1],[-1,-1,f],[h,p,-1],[-1,-1,h],[p,f,-1],[-1,-1,p]]}}(r,n);l=u.xyzv,c=u.abc}for(var f=0;f<l.length;f++){r=l[f],n=c[f];for(var h=[],p=0;p<3;p++){var d=r[p][0],g=r[p][1],v=r[p][2],y=r[p][3],x=n[p]>-1?n[p]:L(d,g,v);h[p]=x>-1?x:I(d,g,v,R(e,y))}i=h[0],a=h[1],o=h[2],t._meshI.push(i),t._meshJ.push(a),t._meshK.push(o),++m}}function B(t,e,r,n){var i=t[3];i<r&&(i=r),i>n&&(i=n);for(var a=(t[3]-i)/(t[3]-e[3]+1e-9),o=[],s=0;s<4;s++)o[s]=(1-a)*t[s]+a*e[s];return o}function N(t,e,r){return t>=e&&t<=r}function j(t){var e=.001*(E-S);return t>=S-e&&t<=E+e}function U(e){for(var r=[],n=0;n<4;n++){var i=e[n];r.push([t._x[i],t._y[i],t._z[i],t._value[i]])}return r}function V(t,e,r,n,i,a){a||(a=1),r=[-1,-1,-1];var 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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 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a=t.map(F.bind(0,e,r)),o=i.selectAll("g.parcatslayer").data([null]);o.enter().append("g").attr("class","parcatslayer").style("pointer-events","all");var u=o.selectAll("g.trace.parcats").data(a,p),h=u.enter().append("g").attr("class","trace parcats");u.attr("transform",(function(t){return l(t.x,t.y)})),h.append("g").attr("class","paths");var y=u.select("g.paths").selectAll("path.path").data((function(t){return t.paths}),p);y.attr("fill",(function(t){return t.model.color}));var x=y.enter().append("path").attr("class","path").attr("stroke-opacity",0).attr("fill",(function(t){return t.model.color})).attr("fill-opacity",0);_(x),y.attr("d",(function(t){return t.svgD})),x.empty()||y.sort(g),y.exit().remove(),y.on("mouseover",m).on("mouseout",v).on("click",b),h.append("g").attr("class","dimensions");var w=u.select("g.dimensions").selectAll("g.dimension").data((function(t){return t.dimensions}),p);w.enter().append("g").attr("class","dimension"),w.attr("transform",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll("g.category").data((function(t){return t.categories}),p),M=A.enter().append("g").attr("class","category");A.attr("transform",(function(t){return l(0,t.y)})),M.append("rect").attr("class","catrect").attr("pointer-events","none"),A.select("rect.catrect").attr("fill","none").attr("width",(function(t){return t.width})).attr("height",(function(t){return t.height})),T(M);var S=A.selectAll("rect.bandrect").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr("fill",(function(t){return t.color}));var 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 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n=t("./parcats");e.exports=function(t,e,r,i){var a=t._fullLayout,o=a._paper,s=a._size;n(t,o,e,{width:s.w,height:s.h,margin:{t:s.t,r:s.r,b:s.b,l:s.l}},r,i)}},{"./parcats":885}],887:[function(t,e,r){"use strict";var n=t("../../components/colorscale/attributes"),i=t("../../plots/cartesian/layout_attributes"),a=t("../../plots/font_attributes"),o=t("../../plots/domain").attributes,s=t("../../lib/extend").extendFlat,l=t("../../plot_api/plot_template").templatedArray;e.exports={domain:o({name:"parcoords",trace:!0,editType:"plot"}),labelangle:{valType:"angle",dflt:0,editType:"plot"},labelside:{valType:"enumerated",values:["top","bottom"],dflt:"top",editType:"plot"},labelfont:a({editType:"plot"}),tickfont:a({editType:"plot"}),rangefont:a({editType:"plot"}),dimensions:l("dimension",{label:{valType:"string",editType:"plot"},tickvals:s({},i.tickvals,{editType:"plot"}),ticktext:s({},i.ticktext,{editType:"plot"}),tickformat:s({},i.tickformat,{editType:"plot"}),visible:{valType:"boolean",dflt:!0,editType:"plot"},range:{valType:"info_array",items:[{valType:"number",editType:"plot"},{valType:"number",editType:"plot"}],editType:"plot"},constraintrange:{valType:"info_array",freeLength:!0,dimensions:"1-2",items:[{valType:"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":373,"../../lib/extend":493,"../../plot_api/plot_template":543,"../../plots/cartesian/layout_attributes":569,"../../plots/domain":584,"../../plots/font_attributes":585}],888:[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 s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).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":503,"../../lib/gup":500,"./constants":891,"@plotly/d3":58}],889:[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":480,"../../plots/get_data":593,"./plot":898,"@plotly/d3":58}],890:[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":378,"../../lib":503,"../../lib/gup":500}],891:[function(t,e,r){"use 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strict";var n=t("../../lib"),i=t("../../components/colorscale/helpers").hasColorscale,a=t("../../components/colorscale/defaults"),o=t("../../plots/domain").defaults,s=t("../../plots/array_container_defaults"),l=t("../../plots/cartesian/axes"),c=t("./attributes"),u=t("./axisbrush"),f=t("./constants").maxDimensionCount,h=t("./merge_length");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a("values"),s=a("visible");if(o&&o.length||(s=e.visible=!1),s){a("label"),a("tickvals"),a("ticktext"),a("tickformat");var f=a("range");e._ax={_id:"y",type:"linear",showexponent:"all",exponentformat:"B",range:f},l.setConvert(e._ax,i.layout),a("multiselect");var h=a("constraintrange");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log("parcoords traces support up to "+f+" dimensions at the moment"),d.splice(f));var g=s(t,e,{name:"dimensions",layout:l,handleItemDefaults:p}),m=function(t,e,r,o,s){var l=s("line.color",r);if(i(t,"line")&&n.isArrayOrTypedArray(l)){if(l.length)return s("line.colorscale"),a(t,e,o,s,{prefix:"line.",cLetter:"c"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,u);o(e,l,u),Array.isArray(g)&&g.length||(e.visible=!1),h(e,g,"values",m);var v={family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(u,"labelfont",v),n.coerceFont(u,"tickfont",v),n.coerceFont(u,"rangefont",v),u("labelangle"),u("labelside")}},{"../../components/colorscale/defaults":376,"../../components/colorscale/helpers":377,"../../lib":503,"../../plots/array_container_defaults":549,"../../plots/cartesian/axes":554,"../../plots/domain":584,"./attributes":887,"./axisbrush":888,"./constants":891,"./merge_length":896}],893:[function(t,e,r){"use strict";var n=t("../../lib").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!("visible"in t)}},{"../../lib":503}],894:[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":887,"./base_plot":889,"./calc":890,"./defaults":892,"./plot":898}],895:[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, 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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 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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 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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":503,"./constants":891,glslify:227}],896:[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}},{}],897:[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 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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 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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":402}],904:[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":503}],905:[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":899,"./base_plot":900,"./calc":901,"./defaults":902,"./layout_attributes":906,"./layout_defaults":907,"./plot":908,"./style":909,"./style_one":910}],906:[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"}}},{}],907:[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":503,"./layout_attributes":906}],908:[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 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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 e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr("transform",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var 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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 a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(y,r,i),s.click(t,{target:!0})}}})}},{"../../components/color":366,"../../components/fx":406,"../../lib":503,"./constants":918,"./render":922,"@plotly/d3":58}],922:[function(t,e,r){"use strict";var n=t("d3-force"),i=t("d3-interpolate").interpolateNumber,a=t("@plotly/d3"),o=t("@plotly/d3-sankey"),s=t("@plotly/d3-sankey-circular"),l=t("./constants"),c=t("tinycolor2"),u=t("../../components/color"),f=t("../../components/drawing"),h=t("../../lib"),p=h.strTranslate,d=h.strRotate,g=t("../../lib/gup"),m=g.keyFun,v=g.repeat,y=g.unwrap,x=t("../../lib/svg_text_utils"),b=t("../../registry"),_=t("../../constants/alignment"),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var 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 i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:m,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:g,dragPerpendicular:f?g:m,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+"|"+e.target.label+"__"+r;return 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)+" "+(n.rightSmallArcRadius-r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.targetY-r)+"L"+n.targetX+" "+(n.targetY-r)+"Z":"M "+n.targetX+" "+(n.targetY-r)+" L"+n.rightInnerExtent+" "+(n.targetY-r)+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightSmallArcRadius+r)+" 0 0 0 "+(n.rightFullExtent-r)+" "+(n.targetY+n.rightSmallArcRadius)+"L"+(n.rightFullExtent-r)+" "+n.verticalRightInnerExtent+"A"+(n.rightLargeArcRadius+r)+" "+(n.rightLargeArcRadius+r)+" 0 0 0 "+n.rightInnerExtent+" "+(n.verticalFullExtent+r)+"L"+n.leftInnerExtent+" "+(n.verticalFullExtent+r)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftLargeArcRadius+r)+" 0 0 0 "+(n.leftFullExtent+r)+" "+n.verticalLeftInnerExtent+"L"+(n.leftFullExtent+r)+" "+(n.sourceY+n.leftSmallArcRadius)+"A"+(n.leftLargeArcRadius+r)+" "+(n.leftSmallArcRadius+r)+" 0 0 0 "+n.leftInnerExtent+" "+(n.sourceY-r)+"L"+n.sourceX+" "+(n.sourceY-r)+"L"+n.sourceX+" "+(n.sourceY+r)+"L"+n.leftInnerExtent+" "+(n.sourceY+r)+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftSmallArcRadius-r)+" 0 0 1 "+(n.leftFullExtent-r)+" "+(n.sourceY+n.leftSmallArcRadius)+"L"+(n.leftFullExtent-r)+" "+n.verticalLeftInnerExtent+"A"+(n.leftLargeArcRadius-r)+" "+(n.leftLargeArcRadius-r)+" 0 0 1 "+n.leftInnerExtent+" "+(n.verticalFullExtent-r)+"L"+n.rightInnerExtent+" "+(n.verticalFullExtent-r)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightLargeArcRadius-r)+" 0 0 1 "+(n.rightFullExtent+r)+" "+n.verticalRightInnerExtent+"L"+(n.rightFullExtent+r)+" "+(n.targetY+n.rightSmallArcRadius)+"A"+(n.rightLargeArcRadius-r)+" "+(n.rightSmallArcRadius-r)+" 0 0 1 "+n.rightInnerExtent+" "+(n.targetY+r)+"L"+n.targetX+" "+(n.targetY+r)+"Z";var e,r,n,a=t.link.source.x1,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+" "+o+","+h+"L"+o+","+p+"C"+c+","+p+" "+l+","+f+" "+a+","+f+"Z"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s="node_"+e.pointNumber;return e.group&&(s=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 C(t,e){t.call(L),e.attr("d",M())}function P(t){t.attr("width",(function(t){return t.node.x1-t.node.x0})).attr("height",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?"matrix(1 0 0 1 0 0)":"matrix(0 1 1 0 0 0)")}function z(t,e,r){t.on(".basic",null).on("mouseover.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on("mousemove.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on("mouseout.basic",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on("click.basic",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var 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y={padded:!0},x={padded:!0};s&&(y.ppad=x.ppad=s);var b=c<2||i[0]!==i[c-1]||o[0]!==o[c-1];b&&("tozerox"===v||"tonextx"===v&&(p||"h"===d))?y.tozero=!0:(e.error_y||{}).visible||"tonexty"!==v&&"tozeroy"!==v&&(l.hasMarkers(e)||l.hasText(e))||(y.padded=!1,y.ppad=0),b&&("tozeroy"===v||"tonexty"===v&&(p||"v"===d))?x.tozero=!0:"tonextx"!==v&&"tozerox"!==v||(x.padded=!1),f&&(e._extremes[f]=a.findExtremes(r,i,y)),h&&(e._extremes[h]=a.findExtremes(n,o,x))}function p(t,e){if(l.hasMarkers(t)){var r,n=t.marker,o=1.6*(t.marker.sizeref||1);if(r="area"===t.marker.sizemode?function(t){return Math.max(Math.sqrt((t||0)/o),3)}:function(t){return Math.max((t||0)/o,3)},i.isArrayOrTypedArray(n.size)){var s={type:"linear"};a.setConvert(s);for(var c=s.makeCalcdata(t.marker,"size"),u=new Array(e),f=0;f<e;f++)u[f]=r(c[f]);return u}return r(n.size)}}function d(t,e){var r=g(e),n=t._firstScatter;n[r]||(n[r]=e.uid)}function g(t){var e=t.stackgroup;return t.xaxis+t.yaxis+t.type+(e?"-"+e:"")}function m(t,e,r,n){var 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n=t("../../components/colorscale/helpers").hasColorscale,i=t("../../components/colorscale/calc"),a=t("./subtypes");e.exports=function(t,e){a.hasLines(e)&&n(e,"line")&&i(t,e,{vals:e.line.color,containerStr:"line",cLetter:"c"}),a.hasMarkers(e)&&(n(e,"marker")&&i(t,e,{vals:e.marker.color,containerStr:"marker",cLetter:"c"}),n(e,"marker.line")&&i(t,e,{vals:e.marker.line.color,containerStr:"marker.line",cLetter:"c"}))}},{"../../components/colorscale/calc":374,"../../components/colorscale/helpers":377,"./subtypes":950}],929:[function(t,e,r){"use strict";e.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},{}],930:[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("../../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":554}],935:[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 o=e.mcc||(t.marker||{}).color,s=e.mlcc||((t.marker||{}).line||{}).color;return(a=o&&n.opacity(o)?o:s&&n.opacity(s)&&(e.mlw||((t.marker||{}).line||{}).width)?s:"")?n.opacity(a)<.3?n.addOpacity(a,.3):a:(r=(t.line||{}).color)&&n.opacity(r)&&i.hasLines(t)&&t.line.width?r:t.fillcolor}},{"../../components/color":366,"./subtypes":950}],936:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/fx"),a=t("../../registry"),o=t("./get_trace_color"),s=t("../../components/color"),l=n.fillText;e.exports=function(t,e,r,c){var u=t.cd,f=u[0].trace,h=t.xa,p=t.ya,d=h.c2p(e),g=p.c2p(r),m=[d,g],v=f.hoveron||"",y=-1!==f.mode.indexOf("markers")?3:.5,x=!!f.xperiodalignment,b=!!f.yperiodalignment;if(-1!==v.indexOf("points")){var _=function(t){var e=Math.max(y,t.mrc||0),r=h.c2p(t.x)-d,n=p.c2p(t.y)-g;return Math.max(Math.sqrt(r*r+n*n)-e,1-y/e)},w=i.getDistanceFunction(c,(function(t){if(x){var e=h.c2p(t.xStart),r=h.c2p(t.xEnd);return d>=Math.min(e,r)&&d<=Math.max(e,r)?0:1/0}var n=Math.max(3,t.mrc||0),i=1-1/n,a=Math.abs(h.c2p(t.x)-d);return a<n?i*a/n:a-n+i}),(function(t){if(b){var e=p.c2p(t.yStart),r=p.c2p(t.yEnd);return g>=Math.min(e,r)&&g<=Math.max(e,r)?0:1/0}var n=Math.max(3,t.mrc||0),i=1-1/n,a=Math.abs(p.c2p(t.y)-g);return a<n?i*a/n:a-n+i}),_);if(i.getClosest(u,w,t),!1!==t.index){var T=u[t.index],k=h.c2p(T.x,!0),A=p.c2p(T.y,!0),M=T.mrc||1;t.index=T.i;var 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n=t("./subtypes");e.exports={hasLines:n.hasLines,hasMarkers:n.hasMarkers,hasText:n.hasText,isBubble:n.isBubble,attributes:t("./attributes"),supplyDefaults:t("./defaults"),crossTraceDefaults:t("./cross_trace_defaults"),calc:t("./calc").calc,crossTraceCalc:t("./cross_trace_calc"),arraysToCalcdata:t("./arrays_to_calcdata"),plot:t("./plot"),colorbar:t("./marker_colorbar"),formatLabels:t("./format_labels"),style:t("./style").style,styleOnSelect:t("./style").styleOnSelect,hoverPoints:t("./hover"),selectPoints:t("./select"),animatable:!0,moduleType:"trace",name:"scatter",basePlotModule:t("../../plots/cartesian"),categories:["cartesian","svg","symbols","errorBarsOK","showLegend","scatter-like","zoomScale"],meta:{}}},{"../../plots/cartesian":568,"./arrays_to_calcdata":924,"./attributes":925,"./calc":926,"./cross_trace_calc":930,"./cross_trace_defaults":931,"./defaults":932,"./format_labels":934,"./hover":936,"./marker_colorbar":943,"./plot":946,"./select":947,"./style":949,"./subtypes":950}],938:[function(t,e,r){"use 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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 a}(t,e,f,u)){f("text"),f("hovertext"),f("hovertemplate"),f("xhoverformat"),f("yhoverformat"),f("zhoverformat"),f("mode"),a.hasLines(e)&&(f("connectgaps"),s(t,e,r,u,f)),a.hasMarkers(e)&&o(t,e,r,u,f,{noSelect:!0}),a.hasText(e)&&(f("texttemplate"),l(t,e,u,f,{noSelect:!0}));var h=(e.line||{}).color,p=(e.marker||{}).color;f("surfaceaxis")>=0&&f("surfacecolor",h||p);for(var d=["x","y","z"],g=0;g<3;++g){var m="projection."+d[g];f(m+".show")&&(f(m+".opacity"),f(m+".scale"))}var 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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 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0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split("+");-1!==v.indexOf("all")&&(v=["a","b","text"]),-1!==v.indexOf("a")&&y(d.aaxis,h.a),-1!==v.indexOf("b")&&y(d.baxis,h.b),m.push("y: "+s.yLabel),-1!==v.indexOf("text")&&i(h,p,m),s.extraText=m.join("<br>")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,""):t._hovertitle,m.push(r+": "+e.toFixed(3)+t.labelsuffix)}}},{"../../lib":503,"../scatter/hover":936}],965:[function(t,e,r){"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||"x"),yaxis:i.getFromId(t,u.yaxis||"y"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll("g.trace"+l.uid+" .js-line"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{"../../components/drawing":388,"../../plots/cartesian/axes":554,"../scatter/plot":946}],967:[function(t,e,r){"use strict";var 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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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=y(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t){if("circle"===t)return null;var e,r,n=l.symbolNumber(t),a=l.symbolFuncs[n%100],o=!!l.symbolNoDot[n%100],s=!!l.symbolNoFill[n%100],c=p.isDotSymbol(t);return M[t]?M[t]:(e=c&&!o?a(1.1*k)+S:a(k),r=i(e,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:s?A:-A}),M[t]=r,r||null)}e.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&"none"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if("hv"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if("hvh"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if("vhv"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if("vh"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?"rect":"round";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod("errorbars","makeComputeError"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e["error_"+a];if(o&&o.visible&&("linear"===i.type||"log"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,g=-1/0,m=0,v=0;m<f;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-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":388,"../../components/fx/helpers":402,"../../constants/interactions":478,"../../lib":503,"../../lib/gl_format_color":499,"../../plots/cartesian/axis_ids":558,"../../registry":638,"../scatter/make_bubble_size_func":942,"../scatter/subtypes":950,"./constants":979,"./helpers":984,"color-normalize":89,"fast-isnumeric":190,"svg-path-sdf":310}],981:[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":503,"../../registry":638,"../scatter/constants":929,"../scatter/fillcolor_defaults":933,"../scatter/line_defaults":938,"../scatter/marker_defaults":944,"../scatter/period_defaults":945,"../scatter/subtypes":950,"../scatter/text_defaults":951,"../scatter/xy_defaults":952,"./attributes":977,"./helpers":984}],982:[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":366,"../../constants/interactions":478,"../../lib":503}],983:[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":934}],984:[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":979}],985:[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":503,"../../registry":638,"../scatter/get_trace_color":935}],986:[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":568,"../scatter/cross_trace_defaults":931,"../scatter/marker_colorbar":943,"./attributes":977,"./calc":978,"./defaults":981,"./format_labels":983,"./hover":985,"./plot":987,"./select":989}],987:[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 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n=t("../../components/fx"),i=t("../../lib"),a=t("../scatter/get_trace_color"),o=i.fillText,s=t("../../constants/numerical").BADNUM;function l(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split("+"),i=-1!==n.indexOf("all"),a=-1!==n.indexOf("lon"),s=-1!==n.indexOf("lat"),l=e.lonlat,c=[];return i||a&&s?c.push("("+u(l[1])+", "+u(l[0])+")"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf("text"))&&o(e,t,c),c.join("<br>")}function u(t){return t+"\xb0"}}e.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),d=e-p;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=h.project([n,a]),l=o.x-u.c2p([d,a]),c=o.y-f.c2p([n,r]),p=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-p,1-3/p)}),t),!1!==t.index){var 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T=l.matrixOptions;return b.length||_.length?l.selectBatch.length||l.unselectBatch.length||l.matrix.update(l.unselectedOptions,n.extendFlat({},T,l.selectedOptions,l.viewOpts)):l.matrix.update(T,null),l.selectBatch=b,l.unselectBatch=_,h}},{"../../lib":503,"../scatter/subtypes":950,"./helpers":1033}],1039:[function(t,e,r){"use strict";var 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={x:{valType:"data_array",editType:"calc+clearAxisTypes"},y:{valType:"data_array",editType:"calc+clearAxisTypes"},z:{valType:"data_array",editType:"calc+clearAxisTypes"},u:{valType:"data_array",editType:"calc"},v:{valType:"data_array",editType:"calc"},w:{valType:"data_array",editType:"calc"},starts:{x:{valType:"data_array",editType:"calc"},y:{valType:"data_array",editType:"calc"},z:{valType:"data_array",editType:"calc"},editType:"calc"},maxdisplayed:{valType:"integer",min:0,dflt:1e3,editType:"calc"},sizeref:{valType:"number",editType:"calc",min:0,dflt:1},text:{valType:"string",dflt:"",editType:"calc"},hovertext:{valType:"string",dflt:"",editType:"calc"},hovertemplate:a({editType:"calc"},{keys:["tubex","tubey","tubez","tubeu","tubev","tubew","norm","divergence"]}),uhoverformat:i("u",1),vhoverformat:i("v",1),whoverformat:i("w",1),xhoverformat:i("x"),yhoverformat:i("y"),zhoverformat:i("z"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n("",{colorAttr:"u/v/w 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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 R*(F*t+e)+r},U=I(C(A[1])),V=I(C(A[3])),H=I(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var 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v=n[u];r.xMax=Math.max(r.xMax,v),r.xMin=Math.min(r.xMin,v);var y=o[u];r.yMax=Math.max(r.yMax,y),r.yMin=Math.min(r.yMin,y);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},{"../../components/colorscale/calc":374,"../../lib":503}],1041:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_streamtube3d,i=n.createTubeMesh,a=t("../../lib"),o=t("../../lib/gl_format_color").parseColorScale,s=t("../../components/colorscale").extractOpts,l=t("../../plots/gl3d/zip3"),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=u.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,f={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return n.d2l(t)*o}))}if(f.vectors=l(d(e._u,"xaxis"),d(e._v,"yaxis"),d(e._w,"zaxis"),u),!u)return{positions:[],cells:[]};var g=d(e._Xs,"xaxis"),m=d(e._Ys,"yaxis"),v=d(e._Zs,"zaxis");if(f.meshgrid=[g,m,v],f.gridFill=e._gridFill,e._slen)f.startingPositions=l(d(e._startsX,"xaxis"),d(e._startsY,"yaxis"),d(e._startsZ,"zaxis"));else{for(var y=m[0],x=h(g),b=h(v),_=new Array(x.length*b.length),w=0,T=0;T<x.length;T++)for(var k=0;k<b.length;k++)_[w++]=[x[T],y,b[k]];f.startingPositions=_}f.colormap=o(e),f.tubeSize=e.sizeref,f.maxLength=e.maxdisplayed;var A=d(e._xbnds,"xaxis"),M=d(e._ybnds,"yaxis"),S=d(e._zbnds,"zaxis"),E=p(g),L=p(m),C=p(v),P=[[A[0]-E[0],M[0]-L[0],S[0]-C[0]],[A[1]+E[1],M[1]+L[1],S[1]+C[1]]],I=n(f,P),O=s(e);I.vertexIntensityBounds=[O.min/e._normMax,O.max/e._normMax];var z=e.lightposition;return I.lightPosition=[z.x,z.y,z.z],I.ambient=e.lighting.ambient,I.diffuse=e.lighting.diffuse,I.specular=e.lighting.specular,I.roughness=e.lighting.roughness,I.fresnel=e.lighting.fresnel,I.opacity=e.opacity,e._pad=I.tubeScale*e.sizeref*2,I}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],"xaxis"),n(i[1],"yaxis"),n(i[2],"zaxis"),n(a[0],"xaxis"),n(a[1],"yaxis"),n(a[2],"zaxis"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},e.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},{"../../../stackgl_modules":1119,"../../components/colorscale":378,"../../lib":503,"../../lib/gl_format_color":499,"../../plots/gl3d/zip3":609}],1042:[function(t,e,r){"use strict";var n=t("../../lib"),i=t("../../components/colorscale/defaults"),a=t("./attributes");e.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s("u"),c=s("v"),u=s("w"),f=s("x"),h=s("y"),p=s("z");l&&l.length&&c&&c.length&&u&&u.length&&f&&f.length&&h&&h.length&&p&&p.length?(s("starts.x"),s("starts.y"),s("starts.z"),s("maxdisplayed"),s("sizeref"),s("lighting.ambient"),s("lighting.diffuse"),s("lighting.specular"),s("lighting.roughness"),s("lighting.fresnel"),s("lightposition.x"),s("lightposition.y"),s("lightposition.z"),i(t,e,o,s,{prefix:"",cLetter:"c"}),s("text"),s("hovertext"),s("hovertemplate"),s("uhoverformat"),s("vhoverformat"),s("whoverformat"),s("xhoverformat"),s("yhoverformat"),s("zhoverformat"),e._length=null):e.visible=!1}},{"../../components/colorscale/defaults":376,"../../lib":503,"./attributes":1039}],1043:[function(t,e,r){"use strict";e.exports={moduleType:"trace",name:"streamtube",basePlotModule:t("../../plots/gl3d"),categories:["gl3d","showLegend"],attributes:t("./attributes"),supplyDefaults:t("./defaults"),colorbar:{min:"cmin",max:"cmax"},calc:t("./calc").calc,plot:t("./convert"),eventData:function(t,e){return t.tubex=t.x,t.tubey=t.y,t.tubez=t.z,t.tubeu=e.traceCoordinate[3],t.tubev=e.traceCoordinate[4],t.tubew=e.traceCoordinate[5],t.norm=e.traceCoordinate[6],t.divergence=e.traceCoordinate[7],delete t.x,delete t.y,delete t.z,t},meta:{}}},{"../../plots/gl3d":598,"./attributes":1039,"./calc":1040,"./convert":1041,"./defaults":1042}],1044:[function(t,e,r){"use strict";var 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c=n.select(this),f=s.ensureSingle(c,"path","surface",(function(t){t.style("pointer-events","all")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween("d",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr("d",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(m,i,k);var p=s.ensureSingle(c,"g","slicetext"),_=s.ensureSingle(p,"text","",(function(t){t.attr("data-notex",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed("slicetext",!0).attr("text-anchor","middle").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=g(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween("transform",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),g=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return m(Math.pow(t,g))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr("transform",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f("sunburst",s),(a=l.selectAll("g.trace.sunburst").data(e,(function(t){return t[0].trace.uid}))).enter().append("g").classed("trace",!0).classed("sunburst",!0).attr("stroke-linejoin","round"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each("end",(function(){o&&o()})).each("interrupt",(function(){o&&o()})).each((function(){l.selectAll("g.trace").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(".trace"),"sunburst"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&"none"!==o))return"";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var g,m=o.split("+"),v=function(t){return-1!==m.indexOf(t)},y=[];if(v("label")&&u.label&&y.push(u.label),u.hasOwnProperty("v")&&v("value")&&y.push(b.formatValue(u.v,l)),!h){v("current path")&&y.push(b.getPath(t.data));var x=0;v("percent parent")&&x++,v("percent entry")&&x++,v("percent root")&&x++;var _=x>1;if(x){var w,T=function(t){g=b.formatPercent(w,l),_&&(g+=" of "+t),y.push(g)};v("percent parent")&&!h&&(w=d/b.getValue(p),T("parent")),v("percent entry")&&(w=d/b.getValue(e),T("entry")),v("percent root")&&(w=d/b.getValue(f),T("root"))}}return v("text")&&(g=s.castOption(r,u.i,"text"),s.isValidTextValue(g)&&y.push(g)),y.join("<br>")}var k=s.castOption(r,u.i,"texttemplate");if(!k)return"";var A={};u.label&&(A.label=u.label),u.hasOwnProperty("v")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty("color")&&(A.color=u.color);var M=s.castOption(r,u.i,"text");return(s.isValidTextValue(M)||""===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,"customdata"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{"../../components/drawing":388,"../../lib":503,"../../lib/svg_text_utils":529,"../bar/style":662,"../bar/uniform_text":664,"../pie/helpers":904,"../pie/plot":908,"./constants":1047,"./fx":1049,"./helpers":1050,"./style":1055,"@plotly/d3":58,"d3-hierarchy":115,"d3-interpolate":116}],1055:[function(t,e,r){"use strict";var n=t("@plotly/d3"),i=t("../../components/color"),a=t("../../lib"),o=t("../bar/uniform_text").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,"marker.line.color")||i.defaultLine,c=a.castOption(r,s,"marker.line.width")||0;t.style("stroke-width",c).call(i.fill,n.color).call(i.stroke,l).style("opacity",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(".trace");o(t,e,"sunburst"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style("opacity",r.opacity),e.selectAll("path.surface").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{"../../components/color":366,"../../lib":503,"../bar/uniform_text":664,"@plotly/d3":58}],1056:[function(t,e,r){"use strict";var n=t("../../components/color"),i=t("../../components/colorscale/attributes"),a=t("../../plots/cartesian/axis_format_attributes").axisHoverFormat,o=t("../../plots/template_attributes").hovertemplateAttrs,s=t("../../plots/attributes"),l=t("../../lib/extend").extendFlat,c=t("../../plot_api/edit_types").overrideAll;function u(t){return{show:{valType:"boolean",dflt:!1},start:{valType:"number",dflt:null,editType:"plot"},end:{valType:"number",dflt:null,editType:"plot"},size:{valType:"number",dflt:null,min:0,editType:"plot"},project:{x:{valType:"boolean",dflt:!1},y:{valType:"boolean",dflt:!1},z:{valType:"boolean",dflt:!1}},color:{valType:"color",dflt:n.defaultLine},usecolormap:{valType:"boolean",dflt:!1},width:{valType:"number",min:1,max:16,dflt:2},highlight:{valType:"boolean",dflt:!0},highlightcolor:{valType:"color",dflt:n.defaultLine},highlightwidth:{valType:"number",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:"data_array"},x:{valType:"data_array"},y:{valType:"data_array"},text:{valType:"string",dflt:"",arrayOk:!0},hovertext:{valType:"string",dflt:"",arrayOk:!0},hovertemplate:o(),xhoverformat:a("x"),yhoverformat:a("y"),zhoverformat:a("z"),connectgaps:{valType:"boolean",dflt:!1,editType:"calc"},surfacecolor:{valType:"data_array"}},i("",{colorAttr:"z or surfacecolor",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:"calc"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:"boolean",dflt:!1},lightposition:{x:{valType:"number",min:-1e5,max:1e5,dflt:10},y:{valType:"number",min:-1e5,max:1e5,dflt:1e4},z:{valType:"number",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:"number",min:0,max:1,dflt:.8},diffuse:{valType:"number",min:0,max:1,dflt:.8},specular:{valType:"number",min:0,max:2,dflt:.05},roughness:{valType:"number",min:0,max:1,dflt:.5},fresnel:{valType:"number",min:0,max:5,dflt:.2}},opacity:{valType:"number",min:0,max:1,dflt:1},opacityscale:{valType:"any",editType:"calc"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),"calc","nested");f.x.editType=f.y.editType=f.z.editType="calc+clearAxisTypes",f.transforms=void 0},{"../../components/color":366,"../../components/colorscale/attributes":373,"../../lib/extend":493,"../../plot_api/edit_types":536,"../../plots/attributes":550,"../../plots/cartesian/axis_format_attributes":557,"../../plots/template_attributes":633}],1057:[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":374}],1058:[function(t,e,r){"use strict";var n=t("../../../stackgl_modules").gl_surface3d,i=t("../../../stackgl_modules").ndarray,a=t("../../../stackgl_modules").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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n=t("../../components/annotations/attributes"),i=t("../../lib/extend").extendFlat,a=t("../../plot_api/edit_types").overrideAll,o=t("../../plots/font_attributes"),s=t("../../plots/domain").attributes,l=t("../../plots/cartesian/axis_format_attributes").descriptionOnlyNumbers;(e.exports=a({domain:s({name:"table",trace:!0}),columnwidth:{valType:"number",arrayOk:!0,dflt:null},columnorder:{valType:"data_array"},header:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell value")},prefix:{valType:"string",arrayOk:!0,dflt:null},suffix:{valType:"string",arrayOk:!0,dflt:null},height:{valType:"number",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:"number",arrayOk:!0,dflt:1},color:{valType:"color",arrayOk:!0,dflt:"grey"}},fill:{color:{valType:"color",arrayOk:!0,dflt:"white"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:"data_array",dflt:[]},format:{valType:"data_array",dflt:[],description:l("cell 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L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+"__"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{"../../lib/extend":493,"./constants":1064,"fast-isnumeric":190}],1066:[function(t,e,r){"use strict";var n=t("../../lib/extend").extendFlat;r.splitToPanels=function(t){var 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],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,H=0|s[1],q=8191&H,G=H>>>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,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|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,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|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,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|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,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|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,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,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,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|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,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,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,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|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,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|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,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|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 g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(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):g(this,t,e)},m.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},m.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},m.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]]},m.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)}},m.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},m.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}},m.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},m.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))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.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),g(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-- 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this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,"Number is too big");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,"Already a number in reduction context"),n(0===this.negative,"red works only with positives"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,"fromRed works only with numbers in reduction context"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,"Already a number in reduction 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0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if("k256"===t)e=new x;else if("p224"===t)e=new b;else if("p192"===t)e=new _;else{if("p25519"!==t)throw new Error("Unknown prime "+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,"red works only with positives"),n(t.red,"red works only with red numbers")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),"red works only with positives"),n(t.red&&t.red===e.red,"red works only with red numbers")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var 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},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{"./lib/intersect":37,"./lib/sweep":41,"typedarray-pool":308}],36:[function(t,e,r){"use strict";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,"key",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,"value",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,"index",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasNext",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error("Can't update empty node!");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,"hasPrev",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){"use strict";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t("./lib/text.js"),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,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[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)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,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)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],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":71,"./lib/cube.js":72,"./lib/lines.js":73,"./lib/text.js":75,"./lib/ticks.js":76}],71:[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":74,"gl-buffer":78,"gl-vao":150}],72:[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 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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":32,"gl-mat4/multiply":100,"robust-orientation":284,"split-polygon":300}],73:[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":74,"gl-buffer":78,"gl-vao":150}],74:[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) ? 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HALF_PI :\n                      computeViewAngle(dataPosition, dataPosition + axis);\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\n\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\n\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\n\n    beta += applyAlignOption(clipAngle, flip * PI);\n  }\n\n  //Compute plane offset\n  vec2 planeCoord = position.xy * pixelScale;\n\n  mat2 planeXform = scale * mat2(\n     cos(beta), sin(beta),\n    -sin(beta), cos(beta)\n  );\n\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\n\n  //Compute clip position\n  vec3 clipPosition = project(dataPosition);\n\n  //Apply text offset in clip coordinates\n  clipPosition += vec3(viewOffset, 0.0);\n\n  //Done\n  gl_Position = vec4(clipPosition, 1.0);\n}"]),l=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 color;\nvoid main() {\n  gl_FragColor = color;\n}"]);r.text=function(t){return i(t,s,l,null,[{name:"position",type:"vec3"}])};var c=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position;\nattribute vec3 normal;\n\nuniform mat4 model, view, projection;\nuniform vec3 enable;\nuniform vec3 bounds[2];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\n\n  vec3 realNormal = signAxis * normal;\n\n  if(dot(realNormal, enable) > 0.0) {\n    vec3 minRange = min(bounds[0], bounds[1]);\n    vec3 maxRange = max(bounds[0], bounds[1]);\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\n  } else {\n    gl_Position = vec4(0,0,0,0);\n  }\n\n  colorChannel = abs(realNormal);\n}"]),u=n(["precision highp float;\n#define GLSLIFY 1\n\nuniform vec4 colors[3];\n\nvarying vec3 colorChannel;\n\nvoid main() {\n  gl_FragColor = colorChannel.x * colors[0] +\n                 colorChannel.y * colors[1] +\n                 colorChannel.z * colors[2];\n}"]);r.bg=function(t){return i(t,c,u,null,[{name:"position",type:"vec3"},{name:"normal",type:"vec3"}])}},{"gl-shader":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){"use strict";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t("gl-buffer"),i=t("gl-vao"),a=t("vectorize-text"),o=t("./shaders").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:"'+t+'" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:"center",textBaseline:"middle",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t("_process"))},{"./shaders":74,_process:5,"gl-buffer":78,"gl-vao":150,"vectorize-text":311}],76:[function(t,e,r){"use strict";function n(t,e){var r=t+"",n=r.indexOf("."),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+"";if(s.indexOf("e")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=""+l;if(o<0&&(u="-"+u),i){for(var f=""+c;f.length<i;)f="0"+f;return u+"."+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){"use strict";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(m,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t("extract-frustum-planes"),i=t("split-polygon"),a=t("./lib/cube.js"),o=t("gl-mat4/multiply"),s=t("gl-mat4/transpose"),l=t("gl-vec4/transformMat4"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function 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":72,"extract-frustum-planes":67,"gl-mat4/multiply":100,"gl-mat4/transpose":109,"gl-vec4/transformMat4":221,"split-polygon":300}],78:[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 t&&void 0!==t)throw new Error("gl-buffer: Invalid data type");if(e>=0)throw new Error("gl-buffer: Cannot specify offset when resizing buffer");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error("gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error("gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,"ndarray-ops":254,"typedarray-pool":308}],79:[function(t,e,r){"use strict";var n=t("gl-vec3");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,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":80,"./lib/shaders":81,"gl-vec3":169}],80:[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:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259}],81:[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, 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:"vec3"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:"position",type:"vec4"},{name:"id",type:"vec4"},{name:"vector",type:"vec3"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:"NONE",1:"ONE",2:"LINE_LOOP",3:"LINE_STRIP",4:"TRIANGLES",5:"TRIANGLE_STRIP",6:"TRIANGLE_FAN",256:"DEPTH_BUFFER_BIT",512:"NEVER",513:"LESS",514:"EQUAL",515:"LEQUAL",516:"GREATER",517:"NOTEQUAL",518:"GEQUAL",519:"ALWAYS",768:"SRC_COLOR",769:"ONE_MINUS_SRC_COLOR",770:"SRC_ALPHA",771:"ONE_MINUS_SRC_ALPHA",772:"DST_ALPHA",773:"ONE_MINUS_DST_ALPHA",774:"DST_COLOR",775:"ONE_MINUS_DST_COLOR",776:"SRC_ALPHA_SATURATE",1024:"STENCIL_BUFFER_BIT",1028:"FRONT",1029:"BACK",1032:"FRONT_AND_BACK",1280:"INVALID_ENUM",1281:"INVALID_VALUE",1282:"INVALID_OPERATION",1285:"OUT_OF_MEMORY",1286:"INVALID_FRAMEBUFFER_OPERATION",2304:"CW",2305:"CCW",2849:"LINE_WIDTH",2884:"CULL_FACE",2885:"CULL_FACE_MODE",2886:"FRONT_FACE",2928:"DEPTH_RANGE",2929:"DEPTH_TEST",2930:"DEPTH_WRITEMASK",2931:"DEPTH_CLEAR_VALUE",2932:"DEPTH_FUNC",2960:"STENCIL_TEST",2961:"STENCIL_CLEAR_VALUE",2962:"STENCIL_FUNC",2963:"STENCIL_VALUE_MASK",2964:"STENCIL_FAIL",2965:"STENCIL_PASS_DEPTH_FAIL",2966:"STENCIL_PASS_DEPTH_PASS",2967:"STENCIL_REF",2968:"STENCIL_WRITEMASK",2978:"VIEWPORT",3024:"DITHER",3042:"BLEND",3088:"SCISSOR_BOX",3089:"SCISSOR_TEST",3106:"COLOR_CLEAR_VALUE",3107:"COLOR_WRITEMASK",3317:"UNPACK_ALIGNMENT",3333:"PACK_ALIGNMENT",3379:"MAX_TEXTURE_SIZE",3386:"MAX_VIEWPORT_DIMS",3408:"SUBPIXEL_BITS",3410:"RED_BITS",3411:"GREEN_BITS",3412:"BLUE_BITS",3413:"ALPHA_BITS",3414:"DEPTH_BITS",3415:"STENCIL_BITS",3553:"TEXTURE_2D",4352:"DONT_CARE",4353:"FASTEST",4354:"NICEST",5120:"BYTE",5121:"UNSIGNED_BYTE",5122:"SHORT",5123:"UNSIGNED_SHORT",5124:"INT",5125:"UNSIGNED_INT",5126:"FLOAT",5386:"INVERT",5890:"TEXTURE",6401:"STENCIL_INDEX",6402:"DEPTH_COMPONENT",6406:"ALPHA",6407:"RGB",6408:"RGBA",6409:"LUMINANCE",6410:"LUMINANCE_ALPHA",7680:"KEEP",7681:"REPLACE",7682:"INCR",7683:"DECR",7936:"VENDOR",7937:"RENDERER",7938:"VERSION",9728:"NEAREST",9729:"LINEAR",9984:"NEAREST_MIPMAP_NEAREST",9985:"LINEAR_MIPMAP_NEAREST",9986:"NEAREST_MIPMAP_LINEAR",9987:"LINEAR_MIPMAP_LINEAR",10240:"TEXTURE_MAG_FILTER",10241:"TEXTURE_MIN_FILTER",10242:"TEXTURE_WRAP_S",10243:"TEXTURE_WRAP_T",10497:"REPEAT",10752:"POLYGON_OFFSET_UNITS",16384:"COLOR_BUFFER_BIT",32769:"CONSTANT_COLOR",32770:"ONE_MINUS_CONSTANT_COLOR",32771:"CONSTANT_ALPHA",32772:"ONE_MINUS_CONSTANT_ALPHA",32773:"BLEND_COLOR",32774:"FUNC_ADD",32777:"BLEND_EQUATION_RGB",32778:"FUNC_SUBTRACT",32779:"FUNC_REVERSE_SUBTRACT",32819:"UNSIGNED_SHORT_4_4_4_4",32820:"UNSIGNED_SHORT_5_5_5_1",32823:"POLYGON_OFFSET_FILL",32824:"POLYGON_OFFSET_FACTOR",32854:"RGBA4",32855:"RGB5_A1",32873:"TEXTURE_BINDING_2D",32926:"SAMPLE_ALPHA_TO_COVERAGE",32928:"SAMPLE_COVERAGE",32936:"SAMPLE_BUFFERS",32937:"SAMPLES",32938:"SAMPLE_COVERAGE_VALUE",32939:"SAMPLE_COVERAGE_INVERT",32968:"BLEND_DST_RGB",32969:"BLEND_SRC_RGB",32970:"BLEND_DST_ALPHA",32971:"BLEND_SRC_ALPHA",33071:"CLAMP_TO_EDGE",33170:"GENERATE_MIPMAP_HINT",33189:"DEPTH_COMPONENT16",33306:"DEPTH_STENCIL_ATTACHMENT",33635:"UNSIGNED_SHORT_5_6_5",33648:"MIRRORED_REPEAT",33901:"ALIASED_POINT_SIZE_RANGE",33902:"ALIASED_LINE_WIDTH_RANGE",33984:"TEXTURE0",33985:"TEXTURE1",33986:"TEXTURE2",33987:"TEXTURE3",33988:"TEXTURE4",33989:"TEXTURE5",33990:"TEXTURE6",33991:"TEXTURE7",33992:"TEXTURE8",33993:"TEXTURE9",33994:"TEXTURE10",33995:"TEXTURE11",33996:"TEXTURE12",33997:"TEXTURE13",33998:"TEXTURE14",33999:"TEXTURE15",34e3:"TEXTURE16",34001:"TEXTURE17",34002:"TEXTURE18",34003:"TEXTURE19",34004:"TEXTURE20",34005:"TEXTURE21",34006:"TEXTURE22",34007:"TEXTURE23",34008:"TEXTURE24",34009:"TEXTURE25",34010:"TEXTURE26",34011:"TEXTURE27",34012:"TEXTURE28",34013:"TEXTURE29",34014:"TEXTURE30",34015:"TEXTURE31",34016:"ACTIVE_TEXTURE",34024:"MAX_RENDERBUFFER_SIZE",34041:"DEPTH_STENCIL",34055:"INCR_WRAP",34056:"DECR_WRAP",34067:"TEXTURE_CUBE_MAP",34068:"TEXTURE_BINDING_CUBE_MAP",34069:"TEXTURE_CUBE_MAP_POSITIVE_X",34070:"TEXTURE_CUBE_MAP_NEGATIVE_X",34071:"TEXTURE_CUBE_MAP_POSITIVE_Y",34072:"TEXTURE_CUBE_MAP_NEGATIVE_Y",34073:"TEXTURE_CUBE_MAP_POSITIVE_Z",34074:"TEXTURE_CUBE_MAP_NEGATIVE_Z",34076:"MAX_CUBE_MAP_TEXTURE_SIZE",34338:"VERTEX_ATTRIB_ARRAY_ENABLED",34339:"VERTEX_ATTRIB_ARRAY_SIZE",34340:"VERTEX_ATTRIB_ARRAY_STRIDE",34341:"VERTEX_ATTRIB_ARRAY_TYPE",34342:"CURRENT_VERTEX_ATTRIB",34373:"VERTEX_ATTRIB_ARRAY_POINTER",34466:"NUM_COMPRESSED_TEXTURE_FORMATS",34467:"COMPRESSED_TEXTURE_FORMATS",34660:"BUFFER_SIZE",34661:"BUFFER_USAGE",34816:"STENCIL_BACK_FUNC",34817:"STENCIL_BACK_FAIL",34818:"STENCIL_BACK_PASS_DEPTH_FAIL",34819:"STENCIL_BACK_PASS_DEPTH_PASS",34877:"BLEND_EQUATION_ALPHA",34921:"MAX_VERTEX_ATTRIBS",34922:"VERTEX_ATTRIB_ARRAY_NORMALIZED",34930:"MAX_TEXTURE_IMAGE_UNITS",34962:"ARRAY_BUFFER",34963:"ELEMENT_ARRAY_BUFFER",34964:"ARRAY_BUFFER_BINDING",34965:"ELEMENT_ARRAY_BUFFER_BINDING",34975:"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING",35040:"STREAM_DRAW",35044:"STATIC_DRAW",35048:"DYNAMIC_DRAW",35632:"FRAGMENT_SHADER",35633:"VERTEX_SHADER",35660:"MAX_VERTEX_TEXTURE_IMAGE_UNITS",35661:"MAX_COMBINED_TEXTURE_IMAGE_UNITS",35663:"SHADER_TYPE",35664:"FLOAT_VEC2",35665:"FLOAT_VEC3",35666:"FLOAT_VEC4",35667:"INT_VEC2",35668:"INT_VEC3",35669:"INT_VEC4",35670:"BOOL",35671:"BOOL_VEC2",35672:"BOOL_VEC3",35673:"BOOL_VEC4",35674:"FLOAT_MAT2",35675:"FLOAT_MAT3",35676:"FLOAT_MAT4",35678:"SAMPLER_2D",35680:"SAMPLER_CUBE",35712:"DELETE_STATUS",35713:"COMPILE_STATUS",35714:"LINK_STATUS",35715:"VALIDATE_STATUS",35716:"INFO_LOG_LENGTH",35717:"ATTACHED_SHADERS",35718:"ACTIVE_UNIFORMS",35719:"ACTIVE_UNIFORM_MAX_LENGTH",35720:"SHADER_SOURCE_LENGTH",35721:"ACTIVE_ATTRIBUTES",35722:"ACTIVE_ATTRIBUTE_MAX_LENGTH",35724:"SHADING_LANGUAGE_VERSION",35725:"CURRENT_PROGRAM",36003:"STENCIL_BACK_REF",36004:"STENCIL_BACK_VALUE_MASK",36005:"STENCIL_BACK_WRITEMASK",36006:"FRAMEBUFFER_BINDING",36007:"RENDERBUFFER_BINDING",36048:"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE",36049:"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME",36050:"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL",36051:"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE",36053:"FRAMEBUFFER_COMPLETE",36054:"FRAMEBUFFER_INCOMPLETE_ATTACHMENT",36055:"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT",36057:"FRAMEBUFFER_INCOMPLETE_DIMENSIONS",36061:"FRAMEBUFFER_UNSUPPORTED",36064:"COLOR_ATTACHMENT0",36096:"DEPTH_ATTACHMENT",36128:"STENCIL_ATTACHMENT",36160:"FRAMEBUFFER",36161:"RENDERBUFFER",36162:"RENDERBUFFER_WIDTH",36163:"RENDERBUFFER_HEIGHT",36164:"RENDERBUFFER_INTERNAL_FORMAT",36168:"STENCIL_INDEX8",36176:"RENDERBUFFER_RED_SIZE",36177:"RENDERBUFFER_GREEN_SIZE",36178:"RENDERBUFFER_BLUE_SIZE",36179:"RENDERBUFFER_ALPHA_SIZE",36180:"RENDERBUFFER_DEPTH_SIZE",36181:"RENDERBUFFER_STENCIL_SIZE",36194:"RGB565",36336:"LOW_FLOAT",36337:"MEDIUM_FLOAT",36338:"HIGH_FLOAT",36339:"LOW_INT",36340:"MEDIUM_INT",36341:"HIGH_INT",36346:"SHADER_COMPILER",36347:"MAX_VERTEX_UNIFORM_VECTORS",36348:"MAX_VARYING_VECTORS",36349:"MAX_FRAGMENT_UNIFORM_VECTORS",37440:"UNPACK_FLIP_Y_WEBGL",37441:"UNPACK_PREMULTIPLY_ALPHA_WEBGL",37442:"CONTEXT_LOST_WEBGL",37443:"UNPACK_COLORSPACE_CONVERSION_WEBGL",37444:"BROWSER_DEFAULT_WEBGL"}},{}],83:[function(t,e,r){var n=t("./1.0/numbers");e.exports=function(t){return n[t]}},{"./1.0/numbers":82}],84:[function(t,e,r){"use strict";e.exports=function(t){var e=t.gl,r=n(e),o=i(e,[{buffer:r,type:e.FLOAT,size:3,offset:0,stride:40},{buffer:r,type:e.FLOAT,size:4,offset:12,stride:40},{buffer:r,type:e.FLOAT,size:3,offset:28,stride:40}]),l=a(e);l.attributes.position.location=0,l.attributes.color.location=1,l.attributes.offset.location=2;var c=new s(e,r,o,l);return c.update(t),c};var n=t("gl-buffer"),i=t("gl-vao"),a=t("./shaders/index"),o=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function s(t,e,r,n){this.gl=t,this.shader=n,this.buffer=e,this.vao=r,this.pixelRatio=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lineWidth=[1,1,1],this.capSize=[10,10,10],this.lineCount=[0,0,0],this.lineOffset=[0,0,0],this.opacity=1,this.hasAlpha=!1}var l=s.prototype;function c(t,e){for(var r=0;r<3;++r)t[0][r]=Math.min(t[0][r],e[r]),t[1][r]=Math.max(t[1][r],e[r])}l.isOpaque=function(){return!this.hasAlpha},l.isTransparent=function(){return this.hasAlpha},l.drawTransparent=l.draw=function(t){var e=this.gl,r=this.shader.uniforms;this.shader.bind();var n=r.view=t.view||o,i=r.projection=t.projection||o;r.model=t.model||o,r.clipBounds=this.clipBounds,r.opacity=this.opacity;var a=n[12],s=n[13],l=n[14],c=n[15],u=(t._ortho||!1?2:1)*this.pixelRatio*(i[3]*a+i[7]*s+i[11]*l+i[15]*c)/e.drawingBufferHeight;this.vao.bind();for(var 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 o=i[a];t.push(e[0],e[1],e[2],r[0],r[1],r[2],r[3],o[0],o[1],o[2])}return i.length}l.update=function(t){"lineWidth"in(t=t||{})&&(this.lineWidth=t.lineWidth,Array.isArray(this.lineWidth)||(this.lineWidth=[this.lineWidth,this.lineWidth,this.lineWidth])),"capSize"in t&&(this.capSize=t.capSize,Array.isArray(this.capSize)||(this.capSize=[this.capSize,this.capSize,this.capSize])),this.hasAlpha=!1,"opacity"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var e=t.color||[[0,0,0],[0,0,0],[0,0,0]],r=t.position,n=t.error;if(Array.isArray(e[0])||(e=[e,e,e]),r&&n){var i=[],a=r.length,o=0;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.lineCount=[0,0,0];for(var s=0;s<3;++s){this.lineOffset[s]=o;t:for(var l=0;l<a;++l){for(var u=r[l],h=0;h<3;++h)if(isNaN(u[h])||!isFinite(u[h]))continue t;var p=n[l],d=e[s];if(Array.isArray(d[0])&&(d=e[l]),3===d.length?d=[d[0],d[1],d[2],1]:4===d.length&&(d=[d[0],d[1],d[2],d[3]],!this.hasAlpha&&d[3]<1&&(this.hasAlpha=!0)),!isNaN(p[0][s])&&!isNaN(p[1][s])){var g;if(p[0][s]<0)(g=u.slice())[s]+=p[0][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+f(i,g,d,s);if(p[1][s]>0)(g=u.slice())[s]+=p[1][s],i.push(u[0],u[1],u[2],d[0],d[1],d[2],d[3],0,0,0,g[0],g[1],g[2],d[0],d[1],d[2],d[3],0,0,0),c(this.bounds,g),o+=2+f(i,g,d,s)}}this.lineCount[s]=o-this.lineOffset[s]}this.buffer.update(i)}},l.dispose=function(){this.shader.dispose(),this.buffer.dispose(),this.vao.dispose()}},{"./shaders/index":85,"gl-buffer":78,"gl-vao":150}],85:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision highp float;\n#define GLSLIFY 1\n\nattribute vec3 position, offset;\nattribute vec4 color;\nuniform mat4 model, view, projection;\nuniform float capSize;\nvarying vec4 fragColor;\nvarying vec3 fragPosition;\n\nvoid main() {\n  vec4 worldPosition  = model * vec4(position, 1.0);\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\n  gl_Position         = projection * view * worldPosition;\n  fragColor           = color;\n  fragPosition        = position;\n}"]),o=n(["precision highp float;\n#define GLSLIFY 1\n\nbool outOfRange(float a, float b, float p) {\n  return ((p > max(a, b)) || \n          (p < min(a, b)));\n}\n\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y));\n}\n\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\n  return (outOfRange(a.x, b.x, p.x) ||\n          outOfRange(a.y, b.y, p.y) ||\n          outOfRange(a.z, b.z, p.z));\n}\n\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\n  return outOfRange(a.xyz, b.xyz, p.xyz);\n}\n\nuniform vec3 clipBounds[2];\nuniform float opacity;\nvarying vec3 fragPosition;\nvarying vec4 fragColor;\n\nvoid main() {\n  if (\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\n    fragColor.a * opacity == 0.\n  ) discard;\n\n  gl_FragColor = opacity * fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec4"},{name:"offset",type:"vec3"}])}},{"gl-shader":132,glslify:231}],86:[function(t,e,r){"use strict";var n=t("gl-texture2d");e.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension("WEBGL_draw_buffers");!l&&c&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c);Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]);if("number"!=typeof e)throw new Error("gl-fbo: Missing shape parameter");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new Error("gl-fbo: Parameters are too large for FBO");var f=1;if("color"in(n=n||{})){if((f=Math.max(0|n.color,0))<0)throw new Error("gl-fbo: Must specify a nonnegative number of colors");if(f>1){if(!c)throw new Error("gl-fbo: Multiple draw buffer extension not supported");if(f>t.getParameter(c.MAX_COLOR_ATTACHMENTS_WEBGL))throw new Error("gl-fbo: Context does not support "+f+" draw buffers")}}var h=t.UNSIGNED_BYTE,p=t.getExtension("OES_texture_float");if(n.float&&f>0){if(!p)throw new Error("gl-fbo: Context does not support floating point textures");h=t.FLOAT}else n.preferFloat&&f>0&&p&&(h=t.FLOAT);var g=!0;"depth"in n&&(g=!!n.depth);var m=!1;"stencil"in n&&(m=!!n.stencil);return new d(t,e,r,h,f,g,m,c)};var i,a,o,s,l=null;function c(t){return[t.getParameter(t.FRAMEBUFFER_BINDING),t.getParameter(t.RENDERBUFFER_BINDING),t.getParameter(t.TEXTURE_BINDING_2D)]}function u(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error("gl-fbo: Framebuffer unsupported");case a:throw new Error("gl-fbo: Framebuffer incomplete attachment");case o:throw new Error("gl-fbo: Framebuffer incomplete dimensions");case s:throw new Error("gl-fbo: Framebuffer incomplete missing attachment");default:throw new Error("gl-fbo: Framebuffer failed for unspecified reason")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,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":146}],87:[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":9,"gl-constants/lookup":83,"glsl-shader-name":223,"sprintf-js":301}],88:[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],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(q===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=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+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":89,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"iota-array":235,"typedarray-pool":308}],89:[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:231}],90:[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":132,glslify:231}],91:[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":90,"binary-search-bounds":31,"gl-buffer":78,"gl-texture2d":146,"gl-vao":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],94:[function(t,e,r){e.exports=function(t){var e=t[0],r=t[1],n=t[2],i=t[3],a=t[4],o=t[5],s=t[6],l=t[7],c=t[8],u=t[9],f=t[10],h=t[11],p=t[12],d=t[13],g=t[14],m=t[15];return(e*o-r*a)*(f*m-h*g)-(e*s-n*a)*(u*m-h*d)+(e*l-i*a)*(u*g-f*d)+(r*s-n*o)*(c*m-h*p)-(r*l-i*o)*(c*g-f*p)+(n*l-i*s)*(c*d-u*p)}},{}],95:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=r+r,s=n+n,l=i+i,c=r*o,u=n*o,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}},{}],96:[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}},{}],97:[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}},{}],98:[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}},{}],99:[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":97}],100:[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}},{}],101:[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}},{}],102:[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}},{}],103:[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}},{}],104:[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}},{}],105:[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}},{}],106:[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}},{}],107:[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}},{}],108:[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}},{}],109:[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}},{}],110:[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:14,"polytope-closest-point/lib/closest_point_2d.js":270}],111:[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:231}],112:[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,H=0,q=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),q+=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)}H+=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=q,this.edgeCount=H,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":110,"./lib/shaders":111,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-shader":132,"gl-texture2d":146,"gl-vao":150,ndarray:259,normals:261,"simplicial-complex-contour":291,"typedarray-pool":308}],113:[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":116,"gl-buffer":78,"gl-shader":132}],114:[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":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132}],115:[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":116,"gl-buffer":78,"gl-shader":132}],116:[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:231}],117:[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":116,"binary-search-bounds":31,"gl-buffer":78,"gl-shader":132,"text-cache":303}],118:[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":113,"./lib/grid":114,"./lib/line":115,"./lib/text":117,"gl-select-static":131}],119:[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":7,"has-passive-events":232,"mouse-change":247,"mouse-event-offset":248,"mouse-wheel":250,"right-now":278}],120:[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":132,glslify:231}],121:[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 H(){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",H),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",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){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=q[0],i=q[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(!H()){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":119,"./lib/shader":120,"a-big-triangle":8,"gl-axes3d":70,"gl-axes3d/properties":77,"gl-fbo":86,"gl-mat4/ortho":101,"gl-mat4/perspective":102,"gl-select-static":131,"gl-spikes3d":141,"is-mobile":238,"mouse-change":247}],122:[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:231}],123:[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":122,"gl-buffer":78,"gl-shader":132,"typedarray-pool":308}],124:[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}},{}],125:[function(t,e,r){"use strict";e.exports=function(t){return t||0===t?t.toString():""}},{}],126:[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":311}],127:[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":132,glslify:231}],128:[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 H=0;Array.isArray(m)?H=n<m.length?+m[n]:0:m&&(H=+m);var q=Math.cos(H),G=Math.sin(H);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*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*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*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*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":125,"./lib/glyphs":126,"./lib/shaders":127,"gl-buffer":78,"gl-mat4/multiply":100,"gl-vao":150,"is-string-blank":239,"typedarray-pool":308}],129:[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:231}],130:[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":129,"gl-buffer":78,"gl-shader":132}],131:[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 l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,"shape",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,"number"!=typeof r&&(r=1);var 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t=this.enable,e=this.width,r=this.color,n=this.center,i=this.plot,a=i.line,o=i.dataBox,s=i.viewBox;if(a.bind(),o[0]<=n[0]&&n[0]<=o[2]&&o[1]<=n[1]&&n[1]<=o[3]){var l=s[0]+(n[0]-o[0])/(o[2]-o[0])*(s[2]-s[0]),c=s[1]+(n[1]-o[1])/(o[3]-o[1])*(s[3]-s[1]);t[0]&&a.drawLine(l,c,s[0],c,e[0],r[0]),t[1]&&a.drawLine(l,c,l,s[1],e[1],r[1]),t[2]&&a.drawLine(l,c,s[2],c,e[2],r[2]),t[3]&&a.drawLine(l,c,l,s[3],e[3],r[3])}},i.dispose=function(){this.plot.removeOverlay(this)}},{}],140:[function(t,e,r){"use strict";var n=t("glslify"),i=t("gl-shader"),a=n(["precision mediump float;\n#define GLSLIFY 1\n\nattribute vec3 position, color;\nattribute float weight;\n\nuniform mat4 model, view, projection;\nuniform vec3 coordinates[3];\nuniform vec4 colors[3];\nuniform vec2 screenShape;\nuniform float lineWidth;\n\nvarying vec4 fragColor;\n\nvoid main() {\n  vec3 vertexPosition = mix(coordinates[0],\n    mix(coordinates[2], coordinates[1], 0.5 * (position + 1.0)), abs(position));\n\n  vec4 clipPos = projection * view * model * vec4(vertexPosition, 1.0);\n  vec2 clipOffset = (projection * view * model * vec4(color, 0.0)).xy;\n  vec2 delta = weight * clipOffset * screenShape;\n  vec2 lineOffset = normalize(vec2(delta.y, -delta.x)) / screenShape;\n\n  gl_Position   = vec4(clipPos.xy + clipPos.w * 0.5 * lineWidth * lineOffset, clipPos.z, clipPos.w);\n  fragColor     = color.x * colors[0] + color.y * colors[1] + color.z * colors[2];\n}\n"]),o=n(["precision mediump float;\n#define GLSLIFY 1\n\nvarying vec4 fragColor;\n\nvoid main() {\n  gl_FragColor = fragColor;\n}"]);e.exports=function(t){return i(t,a,o,null,[{name:"position",type:"vec3"},{name:"color",type:"vec3"},{name:"weight",type:"float"}])}},{"gl-shader":132,glslify:231}],141:[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":140,"gl-buffer":78,"gl-vao":150}],142:[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:231}],143:[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(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,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":142,"gl-cone3d":79,"gl-vec3":169,"gl-vec4":205}],144:[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":132,glslify:231}],145:[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 H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][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[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+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]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,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(q>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":144,"binary-search-bounds":31,"bit-twiddle":32,colormap:53,"gl-buffer":78,"gl-mat4/invert":98,"gl-mat4/multiply":100,"gl-texture2d":146,"gl-vao":150,ndarray:259,"ndarray-gradient":252,"ndarray-ops":254,"ndarray-pack":255,"surface-nets":302,"typedarray-pool":308}],146:[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 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-
-
-Load duration curve
--------------------
-
-Load duration curve, also known as a duration curve or a load-duration
-profile, is the representation of the cumulative distribution of a
-electricity demand over a specified period of time. To plot this curve,
-you may use the load_duration_curve function in different modes like
-taking a specific column of your data calculating the mean or sum for
-this purpose first:
-
-.. code:: ipython3
-
-    # Taking a column
-    hourly_data.load_duration_curve(column="case 1")
-
-
-
-
-.. parsed-literal::
-
-    <Axes: >
-
-
-
-
-.. image:: output_41_1.png
-
-
-.. code:: ipython3
-
-    # plotting for mean
-    hourly_data.mean().load_duration_curve("Mean")
-
-
-
-
-.. parsed-literal::
-
-    <Axes: >
-
-
-
-
-.. image:: output_42_1.png
-
-
-.. code:: ipython3
-
-    # Taking sum
-    hourly_data.sum().load_duration_curve("Sum")
-
-
-
-
-.. parsed-literal::
-
-    <Axes: >
-
-
-
-
-.. image:: output_43_1.png
-
-
-Area Plot
----------
-
-using the area plot function, you can plot the cummulative sum of the
-the columns in your data:
-
-.. code:: ipython3
-
-    weekly.area(engine="plotly")
-
-
-
-.. raw:: html
-
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-
-
-Shadow Plot
------------
-
-in case you want to represent all the simulations together, to show the
-variability of stochastic profiles generated by ramp, you may use the
-shadow plot:
-
-.. code:: ipython3
-
-    # to have a more visible visualization, lets only take the first 5 days of the data using the iloc function
-
-    hourly_data.iloc(index=slice(0,24*5)).shadow(
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-        engine = "plotly"
-    )
-
-
-
-.. raw:: html
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                       {"responsive": true}                    ).then(function(){
-
-    var gd = document.getElementById('03444df3-c117-4908-872c-cb80dc36d0d4');
-    var x = new MutationObserver(function (mutations, observer) {{
-            var display = window.getComputedStyle(gd).display;
-            if (!display || display === 'none') {{
-                console.log([gd, 'removed!']);
-                Plotly.purge(gd);
-                observer.disconnect();
-            }}
-    }});
-
-    // Listen for the removal of the full notebook cells
-    var notebookContainer = gd.closest('#notebook-container');
-    if (notebookContainer) {{
-        x.observe(notebookContainer, {childList: true});
-    }}
-
-    // Listen for the clearing of the current output cell
-    var outputEl = gd.closest('.output');
-    if (outputEl) {{
-        x.observe(outputEl, {childList: true});
-    }}
-
-                            })                };                });            </script>        </div>
-
-
-General plot fucntion
----------------------
-
-the Plot object has a function called **plot** that returns a
-pd.DataFrame.plot function offering some more plotting routines:
-
-.. code:: ipython3
-
-    # plotting the yearly consumption of different cases as bar charts
-    hourly_data.resample("1y","sum").plot(kind="bar")
-
-
-
-
-.. parsed-literal::
-
-    <Axes: xlabel='date'>
-
-
-
-
-.. image:: output_49_1.png
-
-
-Saving the to a file
---------------------
-
-If you want to save the data into a csv or excel file, you can use the
-two save function:
-
-.. code:: ipython3
-
-    # saving as csv
-    hourly_data.to_csv("path and name of csv file.csv")
-
-    # saving as xslx
-    hourly_data.to_excel("path and name of excel file.xlsx")
diff --git a/docs/source/examples/Plot_class/output_38_1.png b/docs/source/examples/Plot_class/output_38_1.png
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deleted file mode 100644
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diff --git a/docs/source/examples/cooking_app/cooking_app.rst b/docs/source/examples/cooking_app/cooking_app.rst
index 1ccd5c6d..670a09c1 100644
--- a/docs/source/examples/cooking_app/cooking_app.rst
+++ b/docs/source/examples/cooking_app/cooking_app.rst
@@ -4,19 +4,19 @@ Cooking Appliances
 In this example, appliances with multiple preferences index and
 attributes are modelled.
 
-To have a better understanding of RAMP features for modelling these
+To have a better understanding of RAMP features for modelling this
 category of appliances, two households are considered:
 
-1. A household with a fixed lunch habit of eating soup everyday.
+1. A household with a fixed lunch habit of eating soup every day.
 2. A household with two lunch preferences: cooking soup or rice.
 
-The number of user preferences can be specified through the
+The number of user preferences can be specified through
 **“user_preference”** parameter when initializing a **User** instance.
 
 .. code:: ipython3
 
     # importing functions
-    from ramp import User,UseCase,calc_peak_time_range,yearly_pattern
+    from ramp import User, UseCase, get_day_type
     import pandas as pd
 
 Creating a user category
@@ -25,21 +25,21 @@ Creating a user category
 .. code:: ipython3
 
     user_1 = User(
-        user_name = "Household with a single lunch habit",
-        num_users = 1,
-        user_preference = 1, # user_1 has only one lunch preference
+        user_name="Household with single lunch habit",
+        num_users=1,
+        user_preference=1,  # user_1 has only one lunch preference
     )
     
     user_2 = User(
-        user_name = "Household with different lunch habit",
-        num_users = 1,
-        user_preference = 2, # user_2 has two lunch preferences
+        user_name="Household with different lunch habits",
+        num_users=1,
+        user_preference=2,  # user_2 has two lunch preferences
     )
 
 Defining the cycles for cooking soup and rice
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-For cooking soup, we assume the user needs 25 minutes divided
+For cooking soup it is assumed that the user needs 25 minutes divided
 into two parts:
 
 ============= ===== ====
@@ -49,7 +49,7 @@ Boiling Water 1200  5
 Cooking soup  750   20
 ============= ===== ====
 
-For cooking rice, we assume the user needs 15 minutes divided
+For cooking rice it is assumed that the user needs 15 minutes divided
 into two parts:
 
 ============= ===== ====
@@ -63,77 +63,75 @@ Cooking rice  600   10
 
     # soup for lunch
     soup_1 = user_1.add_appliance(
-        name = "soup for lunch",
-        power = 1200,
-        func_time = 25,
-        func_cycle = 25,
-        thermal_p_var = 0.2,
-        fixed_cycle = 1,
-        window_1 = [12*60,15*60],
-        p_11 = 1200,   # power of the first cycle
-        t_11 = 5,      # time needed for the first cycle
-        p_12 = 750,    # power of the second cycle
-        t_12 = 20,     # time needed for the second cycle
-        cw11 = [12*60,15*60]
+        name="soup for lunch",
+        power=1200,
+        func_time=25,
+        func_cycle=25,
+        thermal_p_var=0.2,
+        fixed_cycle=1,
+        window_1=[12 * 60, 15 * 60],
+        p_11=1200,  # power of the first cycle
+        t_11=5,  # time needed for the first cycle
+        p_12=750,  # power of the second cycle
+        t_12=20,  # time needed for the second cycle
+        cw11=[12 * 60, 15 * 60],
     )
 
+The second user has two different preferences for lunch. Accordingly, we
+need to model these preferences and their characteristics as two
+different appliances.
 
-The second user has two different preferences for lunch. Accordingly, we need to model
-these preferences and their characterisitics as two different appliances.
-
-Each preference needs to be specified with its associated cooking energy needs, such as
-the power, functioning time and the duty cycles of the cooking process.
+Each preference needs to be specified with its associated cooking energy
+needs, such as the power, functioning time and the duty cycles of the
+cooking process.
 
 More importantly, for each preference, the user needs to specify the
-index of preference by using the **pref_index** parameter. In this example,
-soup is the first preference of the user (pref_index = 1), and rice is
-the second one (pref_index = 2).
+index of preference by using the **pref_index** parameter. In this
+example, soup is the first preference of the user (pref_index = 1), and
+rice is the second one (pref_index = 2).
 
 .. code:: ipython3
 
     # soup for lunch
     soup_2 = user_2.add_appliance(
-        name = "soup for lunch",
-        power = 1200,
-        func_time = 25,
-        func_cycle = 25,
-        thermal_p_var = 0.2,
-        fixed_cycle = 1,
-        pref_index = 1, # the first preference
-        window_1 = [12*60,15*60],
-        p_11 = 1200,   # power of the first cycle
-        t_11 = 5,      # time needed for the first cycle
-        p_12 = 750,    # power of the second cycle
-        t_12 = 20,     # time needed for the second cycle
-        cw11 = [12*60,15*60]
+        name="soup for lunch",
+        power=1200,
+        func_time=25,
+        func_cycle=25,
+        thermal_p_var=0.2,
+        fixed_cycle=1,
+        pref_index=1,  # the first preference
+        window_1=[12 * 60, 15 * 60],
+        p_11=1200,  # power of the first cycle
+        t_11=5,  # time needed for the first cycle
+        p_12=750,  # power of the second cycle
+        t_12=20,  # time needed for the second cycle
+        cw11=[12 * 60, 15 * 60],
     )
-    
-
 
 .. code:: ipython3
 
     # rice for lunch
     rice_2 = user_2.add_appliance(
-        name = "rice for lunch",
-        power = 1200,
-        func_time = 15,
-        func_cycle = 15,
-        thermal_p_var = 0.2,
-        pref_index = 2,  # the second preference
-        fixed_cycle = 1,
-        window_1 = [12*60,15*60],
-        p_11 = 1200,   # power of the first cycle
-        t_11 = 5,      # time needed for the first cycle
-        p_12 = 600,    # power of the second cycle
-        t_12 = 10,     # time needed for the second cycle
-        cw11 = [12*60,15*60]
-        
+        name="rice for lunch",
+        power=1200,
+        func_time=15,
+        func_cycle=15,
+        thermal_p_var=0.2,
+        pref_index=2,  # the second preference
+        fixed_cycle=1,
+        window_1=[12 * 60, 15 * 60],
+        p_11=1200,  # power of the first cycle
+        t_11=5,  # time needed for the first cycle
+        p_12=600,  # power of the second cycle
+        t_12=10,  # time needed for the second cycle
+        cw11=[12 * 60, 15 * 60],
     )
 
 .. code:: ipython3
 
-    # you can have an overview of the just defined input data by using User.export_to_dataframe method
-    user_lunch = UseCase(users=[user_1,user_2])
+    # you can have an overview of data inputs by usering User.export_to_dataframe method
+    user_lunch = UseCase(users=[user_1, user_2], date_start="2020-01-01")
     user_lunch.export_to_dataframe().T
 
 
@@ -167,7 +165,7 @@ the second one (pref_index = 2).
       <tbody>
         <tr>
           <th>user_name</th>
-          <td>Household with a single lunch habit</td>
+          <td>Household with single lunch habit</td>
           <td>Household with different lunch habit</td>
           <td>Household with different lunch habit</td>
         </tr>
@@ -480,58 +478,58 @@ the second one (pref_index = 2).
 Generating a profile for some months
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. code:: ipython3
-
-    peak_time_range = calc_peak_time_range(
-        user_list = user_lunch.users
-    )
-    year_behaviour = yearly_pattern()
-
-
 .. code:: ipython3
 
     # number of days
     n_days = 90
     
+    user_lunch.initialize(num_days=n_days)
     # storing all the profiles for all the users
-    profiles = pd.DataFrame(index = pd.date_range(start = "2020-01-01",periods = 1440*n_days,freq="T"))
+    profiles = pd.DataFrame(
+        index=pd.date_range(start="2020-01-01", periods=1440 * n_days, freq="T")
+    )
+    
+    # here we need to use the
     
     for user in user_lunch.users:
-       
         # storing daily profiles for a user
         user_profiles = []
-        for day in range(n_days):
+        for day_idx, day in enumerate(user_lunch.days):
             single_profile = user.generate_single_load_profile(
-                prof_i = day, # the day to generate the profile
-                peak_time_range = peak_time_range,
-                Year_behaviour = year_behaviour
+                prof_i=day_idx,  # the day to generate the profile
+                day_type=get_day_type(day),
             )
     
             user_profiles.extend(single_profile)
-            
+    
         profiles[user.user_name] = user_profiles
-            
-        
 
 
-Considering that the second user has the possibility of cooking rice for lunch, which 
-has a less energy-intensive cooking cycle, we expect to see a higher energy 
-consumption for the the user that only eats soup, in most of the cases.
+.. parsed-literal::
+
+    You will simulate 90 day(s) from 2020-01-01 00:00:00 until 2020-03-31 00:00:00
+
+
+Considering that the second user has the possibility of cooking rice for
+lunch, which has a less energy-intensive cooking cycle, we expect to see
+a higher energy consumption for the user that only eats soup, in most of
+the cases.
 
 .. code:: ipython3
 
     # daily energy consumption
-    profiles.resample("1d").sum().plot(title = "daily energy consumption")
+    profiles.resample("1d").sum().plot(title="daily energy consumption")
 
 
 
 
 .. parsed-literal::
 
-    <AxesSubplot:title={'center':'daily energy consumption'}>
+    <Axes: title={'center': 'daily energy consumption'}>
+
 
 
 
+.. image:: output_13_1.png
 
-.. image:: output_14_1.png
 
diff --git a/docs/source/examples/cooking_app/output_13_1.png b/docs/source/examples/cooking_app/output_13_1.png
new file mode 100644
index 00000000..0e97088c
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diff --git a/docs/source/examples/fixed_flat_app/fixed_flat_app.rst b/docs/source/examples/fixed_flat_app/fixed_flat_app.rst
index 1d624308..12f01860 100644
--- a/docs/source/examples/fixed_flat_app/fixed_flat_app.rst
+++ b/docs/source/examples/fixed_flat_app/fixed_flat_app.rst
@@ -4,7 +4,7 @@ Fixed-Flat Appliance
 .. code:: ipython3
 
     # importing functions
-    from ramp import User,calc_peak_time_range,yearly_pattern
+    from ramp import User, UseCase, get_day_type
     import pandas as pd
 
 Creating a user
@@ -12,10 +12,7 @@ Creating a user
 
 .. code:: ipython3
 
-    school = User(
-        user_name = "School",
-        num_users = 1
-    )
+    school = User(user_name="School", num_users=1)
 
 Adding an appliance with flat and fixed consumption
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -23,62 +20,63 @@ Adding an appliance with flat and fixed consumption
 .. code:: ipython3
 
     indoor_bulb = school.add_appliance(
-        name = "Indoor Light Bulb",
-        number = 10,
-        power  = 25,
-        num_windows = 1,
-        func_time = 210,
-        time_fraction_random_variability = 0.2,
-        func_cycle = 60,
-        fixed = "yes",
-        flat = "yes",
-        
+        name="Indoor Light Bulb",
+        number=10,
+        power=25,
+        num_windows=1,
+        func_time=210,
+        time_fraction_random_variability=0.2,
+        func_cycle=60,
+        fixed="yes", # This means all the 'n' appliances of this kind are always switched-on together
+        flat="yes", # This means the appliance is not subject to random variability in terms of total usage time
     )
     indoor_bulb.windows(
-        window_1 = [1200,1440], # from 20:00 to 24:00
-        window_2 = [0,0], 
-        random_var_w = 0.35,
+        window_1=[1200, 1440],  # from 20:00 to 24:00
+        window_2=[0, 0],
+        random_var_w=0.35,
     )
 
-Defining the peak time range using the calc_peak_time_range
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Initialize the usecase (it defines the peak time range and simulation time)
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: ipython3
 
-    peak_time_range = calc_peak_time_range(
-        user_list = [school]
-    )
+    school_case = UseCase(users=[school], date_start="2023-01-01")
+    school_case.initialize(num_days=7)
 
-Defining the yearly patterns
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-By default the :code:`yearly_pattern` function returns weekdays (defined by 0)
-/weekends (defined by 1) division
+.. parsed-literal::
 
-.. code:: ipython3
+    You will simulate 7 day(s) from 2023-01-01 00:00:00 until 2023-01-08 00:00:00
 
-    year_behaviour = yearly_pattern()
 
 Generating a profile for the 1st week of the year
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
+From the usecase directly
+
+.. code:: ipython3
+
+    first_week = school_case.generate_daily_load_profiles(flat=True)
+
+or from the user
+
 .. code:: ipython3
 
     first_week = []
     
-    for i in range(7):
+    for day_idx, day in enumerate(school_case.days):
         first_week.extend(
             school.generate_single_load_profile(
-                prof_i = i, # the day to generate the profile
-                peak_time_range = peak_time_range,
-                Year_behaviour = year_behaviour
+                prof_i=day_idx,  # the day to generate the profile
+                peak_time_range=school_case.peak_time_range,
+                day_type=get_day_type(day),
             )
         )
-        
 
 .. code:: ipython3
 
-    first_week = pd.DataFrame(first_week,columns=["household"])
+    first_week = pd.DataFrame(first_week, columns=["household"])
     first_week.plot()
 
 
@@ -86,10 +84,11 @@ Generating a profile for the 1st week of the year
 
 .. parsed-literal::
 
-    <AxesSubplot:>
+    <Axes: >
 
 
 
 
 .. image:: output_12_1.png
 
+
diff --git a/docs/source/examples/fixed_flat_app/output_12_1.png b/docs/source/examples/fixed_flat_app/output_12_1.png
index 7b52a6d4..3c0fe8a9 100644
Binary files a/docs/source/examples/fixed_flat_app/output_12_1.png and b/docs/source/examples/fixed_flat_app/output_12_1.png differ
diff --git a/docs/source/examples/multi_cycle/multi_cycle.rst b/docs/source/examples/multi_cycle/multi_cycle.rst
index 4e8d42d8..f03e52e0 100644
--- a/docs/source/examples/multi_cycle/multi_cycle.rst
+++ b/docs/source/examples/multi_cycle/multi_cycle.rst
@@ -2,13 +2,13 @@ Appliances with multiple cycles
 ===============================
 
 An example of an appliance with multiple cycle is a fridge. Fridges
-usually have different duty cycles, which can be estimated based on seasonal
-temperature trends and/or frequency of user interaction (e.g., how often the 
-door gets opened).
+usually have different duty cycles, which can be estimated based on
+seasonal temperature trends and/or frequency of user interaction (e.g.,
+how often the door gets opened).
 
 In this example a fridge with 3 different duty cycles is modelled. The
-time windows are defined for 3 different cycles across 3 different season
-types:
+time windows are defined for 3 different cycles across 3 different
+season types:
 
 +--------+------------------------------+--------------+--------------+
 | season | Standard cycle               | Intermediate | Intensive    |
@@ -30,7 +30,7 @@ Creating the user and appliance
 .. code:: ipython3
 
     # importing functions
-    from ramp import User,calc_peak_time_range,yearly_pattern
+    from ramp import User, UseCase, get_day_type
     import pandas as pd
 
 .. code:: ipython3
@@ -42,22 +42,21 @@ Creating the user and appliance
 
     # creating the appliance
     fridge = household.Appliance(
-        name = "Fridge",
-        number = 1,
-        power  = 200,
-        num_windows = 1,
-        func_time = 1400,
-        time_fraction_random_variability = 0,
-        func_cycle = 30,
-        fixed = "yes",
-        fixed_cycle = 3, # number of cycles
+        name="Fridge",
+        number=1,
+        power=200,
+        num_windows=1,
+        func_time=1400,
+        time_fraction_random_variability=0,
+        func_cycle=30,
+        fixed="yes",
+        fixed_cycle=3,  # number of cycles
     )
 
 .. code:: ipython3
 
     # setting the functioning windows
-    fridge.windows([0,1440]) # always on during the whole year
-
+    fridge.windows([0, 1440])  # always on during the whole year
 
 Assigining the specific cycles
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -67,26 +66,26 @@ Assigining the specific cycles
     # assiging the specific cycles
     # first cycle: standard cycle
     fridge.specific_cycle_1(
-        p_11 = 200,
-        t_11 = 20,
-        p_12 = 5,
-        t_12 = 10,
+        p_11=200,
+        t_11=20,
+        p_12=5,
+        t_12=10,
     )
     
     # second cycle: intermediate cycle
     fridge.specific_cycle_2(
-        p_21 = 200,
-        t_21 = 15,
-        p_22 = 5,
-        t_22 = 15,
+        p_21=200,
+        t_21=15,
+        p_22=5,
+        t_22=15,
     )
     
     # third cycle: intensive cycle
     fridge.specific_cycle_3(
-        p_31 = 200,
-        t_31 = 10,
-        p_32 = 5,
-        t_32 = 20,
+        p_31=200,
+        t_31=10,
+        p_32=5,
+        t_32=20,
     )
 
 After defining the cycle power and duration parameters, the time windows
@@ -96,10 +95,7 @@ of year at which the cycles happens should be specifid by:
 
     # defining cycle behaviour
     fridge.cycle_behaviour(
-        cw11 = [480,1200],
-        cw21 = [300,479],
-        cw31 = [0,229],
-        cw32 = [1201,1440]
+        cw11=[480, 1200], cw21=[300, 479], cw31=[0, 229], cw32=[1201, 1440]
     )
 
 Buidling the profiles
@@ -107,29 +103,27 @@ Buidling the profiles
 
 .. code:: ipython3
 
-    peak_time_range = calc_peak_time_range(
-        user_list = [household]
-    )
-    year_behaviour = yearly_pattern()
+    use_case = UseCase(users=[household])
+    peak_time_range = use_case.calc_peak_time_range()
 
 .. code:: ipython3
 
     # days to build the profiles
-    days = {
-        "May-16": 136,
-        "August-16": 228,
-        "December-16": 350,
-    }
+    days = [
+        "2020-05-16",
+        "2020-08-16",
+        "2020-12-16",
+    ]
     
-    profiles = pd.DataFrame(index=range(0,1440),columns = days.keys())
+    profiles = pd.DataFrame(index=range(0, 1440), columns=days)
     
-    for day,i in days.items():
+    for day_idx, day in enumerate(days):
         profile = household.generate_single_load_profile(
-            prof_i = i, # the day to generate the profile
-            peak_time_range = peak_time_range,
-            Year_behaviour = year_behaviour
+            prof_i=day_idx,  # the day to generate the profile
+            peak_time_range=peak_time_range,
+            day_type=get_day_type(day),
         )
-        
+    
         profiles[day] = profile
 
 .. code:: ipython3
@@ -139,18 +133,18 @@ Buidling the profiles
 
 .. parsed-literal::
 
-          May-16  August-16  December-16
-    0      0.001      0.001        0.001
-    1      0.001      0.001        0.001
-    2      0.001      5.000        0.001
-    3      0.001      5.000        0.001
-    4      0.001      5.000        0.001
-    ...      ...        ...          ...
-    1435   5.000      5.000      200.000
-    1436   5.000    200.000      200.000
-    1437   5.000    200.000      200.000
-    1438   5.000    200.000      200.000
-    1439   5.000    200.000      200.000
+          2020-05-16  2020-08-16  2020-12-16
+    0          0.001       5.000       0.001
+    1          0.001       5.000       0.001
+    2          0.001       5.000       0.001
+    3          5.000       5.000       0.001
+    4          5.000       5.000       0.001
+    ...          ...         ...         ...
+    1435       0.001       0.001       0.001
+    1436       0.001       0.001       0.001
+    1437       0.001       0.001       0.001
+    1438       0.001       0.001       0.001
+    1439       0.001       0.001       0.001
     
     [1440 rows x 3 columns]
 
diff --git a/docs/source/examples/multi_cycle/output_15_1.png b/docs/source/examples/multi_cycle/output_15_1.png
index 4d30f9af..e74e5e89 100644
Binary files a/docs/source/examples/multi_cycle/output_15_1.png and b/docs/source/examples/multi_cycle/output_15_1.png differ
diff --git a/docs/source/examples/occasional_use/occasional_use.rst b/docs/source/examples/occasional_use/occasional_use.rst
index fda03849..ad9be5a6 100644
--- a/docs/source/examples/occasional_use/occasional_use.rst
+++ b/docs/source/examples/occasional_use/occasional_use.rst
@@ -1,29 +1,29 @@
 Appliances with occasional use
 ==============================
 
-There are some appliances that are occasionally included in the mix pf
-appliances that the user switches-on during the day. For example, an iron,
-a stereo, printers, etc.
+There are some appliances that are occasionally included in the mix of
+appliances that the user switches on during the day. For example, an
+iron, a stereo, printers, etc.
 
 Within RAMP, the user may specify the probability of using an appliance
-on the daily mix with a parameter called, **occasional_use**.
+on the daily mix with a parameter called **occasional_use**.
 
-When :code:`occasional_use = 0`, the appliance is always present in the mix, and
-when :code:`occasional_use = 1`,  the appliance is never present. Any in-between
-values will lead to a probablistic calculation to decide whether the appliance
-is used or not on a given day.
+When ``occasional_use = 0``, the appliance is always present in the mix,
+and when ``occasional_use = 1``, the appliance is never present. Any
+in-between values will lead to a probabilistic calculation to decide
+whether the appliance is used or not on a given day.
 
-The following example, investigates the effect of this parameter by
-modelling two user category: \* A household that uses a computer with
-ocationally \* A school that uses the computer everyday
+The following example investigates the effect of this parameter by
+modelling two user categories: \* A household that uses a computer
+occasionally \* A school that uses the computer every day
 
 .. code:: ipython3
 
     # importing functions
-    from ramp import User,calc_peak_time_range,yearly_pattern
+    from ramp import User, UseCase, get_day_type
     import pandas as pd
 
-Creating a user category and appliances
+Creating user categories and appliances
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: ipython3
@@ -34,38 +34,35 @@ Creating a user category and appliances
 .. code:: ipython3
 
     computer_0 = household.add_appliance(
-        name = "Household Computer",
-        number = 1,
-        power  = 50,
-        num_windows = 1,
-        func_time = 210,
-        occasional_use = 0.5,  # 50% chance of occasional use,
-        window_1 = [510,750],
+        name="Household Computer",
+        number=1,
+        power=50,
+        num_windows=1,
+        func_time=210,
+        occasional_use=0.5,  # 50% chance of occasional use,
+        window_1=[510, 750],
     )
 
-
 .. code:: ipython3
 
     computer_1 = school.add_appliance(
-        name = "School Computer",
-        number = 1,
-        power  = 50,
-        num_windows = 1,
-        func_time = 210,
-        time_fraction_random_variability = 0.2,
-        func_cycle = 10,
-        occasional_use = 1, # always present in the mix of appliances,
-        window_1 = [510,750],
+        name="School Computer",
+        number=1,
+        power=50,
+        num_windows=1,
+        func_time=210,
+        time_fraction_random_variability=0.2,
+        func_cycle=10,
+        occasional_use=1,  # always present in the mix of appliances,
+        window_1=[510, 750],
     )
-    
-
 
 .. code:: ipython3
 
     # Checking the maximum profile of the two appliances
     
-    max_profile_c1 = pd.DataFrame(computer_0.maximum_profile,columns=[computer_0.name])
-    max_profile_c2 = pd.DataFrame(computer_1.maximum_profile,columns=[computer_1.name])
+    max_profile_c1 = pd.DataFrame(computer_0.maximum_profile, columns=[computer_0.name])
+    max_profile_c2 = pd.DataFrame(computer_1.maximum_profile, columns=[computer_1.name])
     
     max_profile_c1.plot()
     max_profile_c2.plot()
@@ -75,7 +72,7 @@ Creating a user category and appliances
 
 .. parsed-literal::
 
-    <AxesSubplot:>
+    <Axes: >
 
 
 
@@ -92,36 +89,31 @@ Generating profiles
 
 .. code:: ipython3
 
-    peak_time_range = calc_peak_time_range(
-        user_list = [household,school]
-    )
-    year_behaviour = yearly_pattern()
+    use_case = UseCase(users=[household, school])
+    use_case.initialize(5)
+
+
+.. parsed-literal::
+
+    You will simulate 5 day(s) from 2023-12-01 00:00:00 until 2023-12-06 00:00:00
+
 
 .. code:: ipython3
 
-    # plotting profiles for 5 days
-    days = range(10)
-    
-    for day in days:
+    for day_idx, day in enumerate(use_case.days):
         household_profile = household.generate_single_load_profile(
-            prof_i = day, 
-            peak_time_range = peak_time_range,
-            Year_behaviour = year_behaviour
+            prof_i=day_idx, day_type=get_day_type(day)
         )
-        
+    
         school_profile = school.generate_single_load_profile(
-            prof_i = day, 
-            peak_time_range = peak_time_range,
-            Year_behaviour = year_behaviour
+            prof_i=day_idx, day_type=get_day_type(day)
         )
-        
+    
         pd.DataFrame(
-            data = [household_profile,school_profile],
-            columns = range(1440),
-            index = [household.user_name,school.user_name]
+            data=[household_profile, school_profile],
+            columns=range(1440),
+            index=[household.user_name, school.user_name],
         ).T.plot(title=f"day - {day}")
-        
-        
 
 
 
@@ -144,26 +136,6 @@ Generating profiles
 .. image:: output_9_4.png
 
 
-
-.. image:: output_9_5.png
-
-
-
-.. image:: output_9_6.png
-
-
-
-.. image:: output_9_7.png
-
-
-
-.. image:: output_9_8.png
-
-
-
-.. image:: output_9_9.png
-
-
 As it can be seen from the figures, the computer is always present in
-the school's appliance mix while, for the household, it is only occasionally 
-present.
+the school’s appliance mix while, for the household, it is only
+occasionally present.
diff --git a/docs/source/examples/occasional_use/output_6_1.png b/docs/source/examples/occasional_use/output_6_1.png
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new file mode 100644
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diff --git a/docs/source/examples/parallel_processing/output_8_2.png b/docs/source/examples/parallel_processing/output_8_2.png
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diff --git a/docs/source/examples/parallel_processing/parallel_processing.rst b/docs/source/examples/parallel_processing/parallel_processing.rst
index 22891b1c..43571111 100644
--- a/docs/source/examples/parallel_processing/parallel_processing.rst
+++ b/docs/source/examples/parallel_processing/parallel_processing.rst
@@ -1,138 +1,156 @@
 Parallel processing
 ===================
 
-There is possibility to generate usecases profiles at the appliance
-level using parallel processing.
+There is the possibility of generating UseCase profiles using parallel
+processing.
 
-For example to generate 365 profiles using a parallel process in shell
-use the ``-p`` option
+For example, to generate 365 profiles using a parallel process in shell,
+use the ``-p`` option.
 
-.. code:: shell
-
-    ramp -i <path to your input file> -p -n 365
+ramp -i <path to your input file> -p -n 365
 
 The following cells provide you with a way to use the parallel process
-in a pure python code
+in a pure python code.
 
 .. code:: ipython3
 
     from ramp import UseCase
     
     import numpy as np
-    import random 
+    import random
     import math
     import pandas as pd
-    from ramp.core.initialise import initialise_inputs
     from ramp.core.utils import calc_time_taken, get_day_type
-    from ramp.core.core import User, UseCase
-    from ramp.core.stochastic_process import calc_peak_time_range
+    from ramp import User, UseCase
     from ramp.post_process import post_process as pp
     
     
-    uc = UseCase() 
+    use_case = UseCase(date_start="2022-01-01", date_end="2022-01-09", peak_enlarge=0.15)
     household = User(
-        user_name = "Household",
-        num_users = 10,
+        user_name="Household",
+        num_users=10,
     )
     indoor_bulb = household.add_appliance(
-        name = "Indoor Light Bulb",
-        number = 6,
-        power  = 7,
-        num_windows = 2,
-        func_time = 120,
-        time_fraction_random_variability = 0.2,
-        func_cycle = 10,
-        window_1 = [1170,1440], # from 19:30 to 24:00
-        window_2 = [0,30], # from 24 to 00:30
-        random_var_w = 0.35,
+        name="Indoor Light Bulb",
+        number=6,
+        power=7,
+        num_windows=2,
+        func_time=120,
+        time_fraction_random_variability=0.2,
+        func_cycle=10,
+        window_1=[1170, 1440],  # from 19:30 to 24:00
+        window_2=[0, 30],  # from 24 to 00:30
+        random_var_w=0.35,
     )
     
-    uc.add_user(household)
-    
-    num_profiles = 1
-    Profiles_list = []
-    
-    days = pd.date_range(start="2022-01-01", end="2022-01-09")
-    
-    peak_enlarge = 0.15
-    
-    # Calculation of the peak time range, which is used to discriminate between off-peak
-    # and on-peak coincident switch-on probability, corresponds to step 1. of [1], p.6
-    peak_time_range = calc_peak_time_range(uc.users, peak_enlarge)
-    
+    use_case.add_user(household)
+
+
+.. parsed-literal::
 
+    You will simulate 9 day(s) from 2022-01-01 00:00:00 until 2022-01-10 00:00:00
 
-Run usecase without parallel processing
+
+Run UseCase without parallel processing
 ---------------------------------------
 
 .. code:: ipython3
 
-    for day in days:
-        print("Day", day)
+    daily_profiles = use_case.generate_daily_load_profiles(flat=False, verbose=True)
     
-        # without // processing
-        daily_profiles = uc.generate_daily_load_profiles(num_profiles, peak_time_range, get_day_type(day))
+    # Post-processes the results and generates plots
+    Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(daily_profiles)
+    pp.Profile_series_plot(Profiles_series)  # by default, profiles are plotted as a series
     
-        Profiles_list.append(np.mean(daily_profiles, axis=0))
+    if (
+        len(daily_profiles) > 1
+    ):  # if more than one daily profile is generated, also cloud plots are shown
+        pp.Profile_cloud_plot(daily_profiles, Profiles_avg)
+
+
+.. parsed-literal::
+
+    Day 1 / 9 completed
+    Day 2 / 9 completed
+    Day 3 / 9 completed
+    Day 4 / 9 completed
+    Day 5 / 9 completed
+    Day 6 / 9 completed
+    Day 7 / 9 completed
+    Day 8 / 9 completed
+    Day 9 / 9 completed
+
+
+
+.. image:: output_6_1.png
+
+
+
+.. image:: output_6_2.png
+
+
+Run UseCase with parallel processing
+------------------------------------
+
+Explicitly calling the parallel method
+
+.. code:: ipython3
+
+    Profiles_list = use_case.generate_daily_load_profiles_parallel(flat=False)
     
     # Post-processes the results and generates plots
     Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(Profiles_list)
     pp.Profile_series_plot(Profiles_series)  # by default, profiles are plotted as a series
     
-    if len(Profiles_list) > 1:  # if more than one daily profile is generated, also cloud plots are shown
+    if (
+        len(Profiles_list) > 1
+    ):  # if more than one daily profile is generated, also cloud plots are shown
         pp.Profile_cloud_plot(Profiles_list, Profiles_avg)
 
 
 .. parsed-literal::
 
-    Day 2022-01-01 00:00:00
-    Day 2022-01-02 00:00:00
-    Day 2022-01-03 00:00:00
-    Day 2022-01-04 00:00:00
-    Day 2022-01-05 00:00:00
-    Day 2022-01-06 00:00:00
-    Day 2022-01-07 00:00:00
-    Day 2022-01-08 00:00:00
-    Day 2022-01-09 00:00:00
+    Computing appliances profiles: 100%|████████| 90/90 [00:00<00:00, 1284.63unit/s]
 
 
 
-.. image:: output_5_1.png
+.. image:: output_8_1.png
 
 
 
-.. image:: output_5_2.png
+.. image:: output_8_2.png
 
 
-Run usecase with parallel processing
-------------------------------------
+You can also set the ``parallel_processing`` attribute of the
+``UseCase`` instance to ``True`` and use the
+``generate_daily_load_profiles``
 
 .. code:: ipython3
 
+    use_case.parallel_processing = True
     
-    day_types = [get_day_type(day) for day in days] 
-    
-    Profiles_list = uc.generate_daily_load_profiles_parallel(len(days), peak_time_range, day_types)
+    Profiles_list = use_case.generate_daily_load_profiles(flat=False)
     
     # Post-processes the results and generates plots
     Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(Profiles_list)
     pp.Profile_series_plot(Profiles_series)  # by default, profiles are plotted as a series
     
-    if len(Profiles_list) > 1:  # if more than one daily profile is generated, also cloud plots are shown
+    if (
+        len(Profiles_list) > 1
+    ):  # if more than one daily profile is generated, also cloud plots are shown
         pp.Profile_cloud_plot(Profiles_list, Profiles_avg)
-    
-
 
 
 .. parsed-literal::
 
-    Computing appliances profiles: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 90/90 [00:00<00:00, 2093.11unit/s]
+    Computing appliances profiles: 100%|████████| 90/90 [00:00<00:00, 1437.07unit/s]
+
 
 
+.. image:: output_10_1.png
 
-.. image:: output_7_1.png
 
 
+.. image:: output_10_2.png
 
-.. image:: output_7_2.png
 
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@@ -0,0 +1,622 @@
+Plotting functionalities
+========================
+
+RAMP’s plotting class offers some functionalities for visualizing
+outputs. A ``Plot`` class can be initialized by reading a
+``pandas.DataFrame`` or reading results from a ``.csv`` or ``.xlsx``
+file.
+
+Initializing a Plot class
+-------------------------
+
+Running RAMP interactively
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    from ramp import User, UseCase
+
+.. code:: ipython3
+
+    # creating a user and adding some appliances
+    
+    Petrol_Station = User(
+        user_name="Petrol Station",
+        num_users=1,
+    )
+    
+    # add appliances
+    outside_bulb = Petrol_Station.add_appliance(
+        name="Security Light",
+        number=2,
+        power=18,  # watt
+        num_windows=2,  # security light has two functioning window: during night and during day
+        fixed_cycle=0,  # bulb has no duty cycle and always work with a single cycle
+        window_1=[0, 7 * 60],  # from mid-night to 7 AM with opening
+        window_2=[21 * 60, 23 * 60 + 59],  # from 21 to 23:59
+        fixed="yes",
+        flat="yes",
+    )
+    
+    
+    inside_bulb = Petrol_Station.add_appliance(
+        name="Indoor Light",
+        number=1,
+        power=75,  # watt
+        num_windows=1,  # security light has two functioning window: during night and during day
+        fixed_cycle=0,  # bulb has no duty cycle and always work with a single cycle
+        window_1=[7 * 60, 21 * 60],  # from mid-night to 7 AM,9PM with opening,
+        func_cycle=1,  # when the appliance is switched on, it remains on at least for a min,
+        occasional_use=1,  # it is always present in the energy mix
+        func_time=30,  # usually is used around 60 min during the whole day
+        time_fraction_random_variability=0.9,
+        random_var_w=0.15,
+    )
+    
+    petrol_pump = Petrol_Station.add_appliance(
+        name="Petrol Pump",
+        number=1,
+        power=200,
+        num_windows=1,
+        fixed_cycle=0,
+        window_1=[7 * 60, 21 * 60],
+        func_cycle=1,
+        occasional_use=1,
+        func_time=40,
+        time_fraction_random_variability=0.15,
+        random_var_w=0.15,
+    )
+    
+    # phone chargers
+    phone_charger = Petrol_Station.add_appliance(
+        name="Phone Charger",
+        number=1,
+        power=5,
+        num_windows=1,
+        fixed_cycle=0,
+        window_1=[7 * 60, 21 * 60],
+        func_cycle=30,
+        occasional_use=0.7,
+        func_time=60,
+        time_fraction_random_variability=0.15,
+        random_var_w=0.15,
+    )
+    
+    # Radio
+    radio = Petrol_Station.add_appliance(
+        name="Radio",
+        number=1,
+        power=5,
+        num_windows=1,
+        fixed_cycle=0,
+        window_1=[7 * 60, 21 * 60],
+        func_cycle=20,
+        occasional_use=0.95,
+        func_time=4 * 60,
+        time_fraction_random_variability=0.15,
+        random_var_w=0.15,
+    )
+
+.. code:: ipython3
+
+    # running the simulation for multiple cases to generate mutlipe simulations for a year = 2022
+    
+    number_of_simulations = 11
+    number_of_days = 365
+    
+    uc = UseCase(users=[Petrol_Station], date_start="2022-01-01")
+    uc.initialize(num_days=number_of_days)
+    
+    plot = uc.generate_daily_load_profiles(
+        cases=[profile for profile in range(1, number_of_simulations + 1)]
+    )
+
+
+.. parsed-literal::
+
+    You will simulate 365 day(s) from 2022-01-01 00:00:00 until 2023-01-01 00:00:00
+
+
+If the dataframe object did not have a ``pd.DatatimeIndex``, the plot
+class could not be initialized. in this case, you can use the ``index``
+argument to pass a datetime index!
+
+Running via the CLI and reading back the outputs from ``.csv`` or ``.xlsx``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+If you run your RAMP simulations from a terminal, and save your outputs
+into a file, you can read your saved results to perform your analysis.
+The structure of the saved results should be exactly as shown in
+previous line where the index is a date-time index and on the columns
+you have different cases, or even different users of your simulation
+case. To read the file:
+
+.. code:: ipython3
+
+    # Uncomment the line below once you have replaced the placeholder with the path of an existing file
+    # plot = Plot.from_file(file="path to .csv or .xlsx file")
+
+If the data in the file did not have a date-time index, the plot class
+could not be initialized! in this case, you can use the ``index``
+argument to pass a datetime index!
+
+Filtering data using loc & iloc functions
+-----------------------------------------
+
+If you need to use only a part of your data, you can use the ``loc``
+function. For example, to take only the second day of your data:
+
+.. code:: ipython3
+
+    import pandas as pd
+    
+    second_day = pd.date_range(
+        start="2022-01-01 00:00:00", freq="1min", periods=24 * 60  # a full day
+    )
+    
+    filtered_data = plot.loc(index=second_day)
+
+If you need to also filter on the columns, you can use the columns
+argument or use the ``get item`` method:
+
+.. code:: ipython3
+
+    # using the function
+    filtered_data = plot.loc(index=second_day, columns=["case 1", "case 2"])
+    filtered_data
+
+
+
+
+.. parsed-literal::
+
+                         case 1  case 2
+    2022-01-01 00:00:00    36.0    36.0
+    2022-01-01 00:01:00    36.0    36.0
+    2022-01-01 00:02:00    36.0    36.0
+    2022-01-01 00:03:00    36.0    36.0
+    2022-01-01 00:04:00    36.0    36.0
+    2022-01-01 00:05:00    36.0    36.0
+    2022-01-01 00:06:00    36.0    36.0
+    2022-01-01 00:07:00    36.0    36.0
+    2022-01-01 00:08:00    36.0    36.0
+    2022-01-01 00:09:00    36.0    36.0
+     ......
+
+
+
+.. code:: ipython3
+
+    # using the get item method
+    filtered_column = plot["case 1"]
+    filtered_column
+
+
+
+
+.. parsed-literal::
+
+                         case 1
+    2022-01-01 00:00:00    36.0
+    2022-01-01 00:01:00    36.0
+    2022-01-01 00:02:00    36.0
+    2022-01-01 00:03:00    36.0
+    2022-01-01 00:04:00    36.0
+    2022-01-01 00:05:00    36.0
+    2022-01-01 00:06:00    36.0
+    2022-01-01 00:07:00    36.0
+    2022-01-01 00:08:00    36.0
+    2022-01-01 00:09:00    36.0
+     ......
+
+
+
+To filter the data using the position of the data, you can use the
+``iloc`` function. For example, for filtering your data from the 6th row
+to 10th row:
+
+.. code:: ipython3
+
+    filtered_rows = plot.iloc(index=slice(6, 11))
+    filtered_rows
+
+
+
+
+.. parsed-literal::
+
+                         case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10  case 11
+    2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0
+    2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0
+    2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0
+    2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0
+    2022-01-01 00:10:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0
+     ......
+
+
+
+Adding new columns to the data
+------------------------------
+
+In case you want to add new columns to your data, you can use the
+``add_column`` function:
+
+.. code:: ipython3
+
+    # lets take a copy of the current plot object
+    
+    copy_plot = plot.copy()
+    
+    # lets take a column of the existing data
+    new_data = plot["case 1"]
+    
+    # lets change the name of the column assuming that this is a new data
+    new_data.columns = ["new column"]
+    
+    copy_plot.add_column(new_data)
+    
+    copy_plot
+
+
+
+
+.. parsed-literal::
+
+                         case 1  case 2  case 3  case 4  case 5  case 6  case 7  case 8  case 9  case 10  case 11  new column
+    2022-01-01 00:00:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+    2022-01-01 00:01:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+    2022-01-01 00:02:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+    2022-01-01 00:03:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+    2022-01-01 00:04:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+    2022-01-01 00:05:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+    2022-01-01 00:06:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+    2022-01-01 00:07:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+    2022-01-01 00:08:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+    2022-01-01 00:09:00    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0    36.0     36.0     36.0        36.0
+     ......
+
+
+
+Resampling data
+---------------
+
+If you want to represent your data in a different time resolution, you
+need to resample the data. In this case, the original data (plot object)
+has a minute time resolution:
+
+.. code:: ipython3
+
+    plot.freq
+
+
+
+
+.. parsed-literal::
+
+    <Minute>
+
+
+
+Let’s assume you want to resample your data to an hourly resolution. To
+do so, you can use the ``resample`` function:
+
+.. code:: ipython3
+
+    hourly_data = plot.resample(
+        freq="1h",  # resampling freqency, similar pd.DataFrame rule
+        rule="sum",  # different options for resampling data like sum, mean, nearest
+        conversion=60,  # resampling data from minute resolution to hour resolution has an assumption of dividing the minute date by 60 minutes to sum to hourly data
+    )
+
+Let’s check the resolution now:
+
+.. code:: ipython3
+
+    hourly_data.freq
+
+
+
+
+.. parsed-literal::
+
+    <Hour>
+
+
+
+You can further apply all the ``Plot`` functions to the output of this
+resampling. For example, if you want to calculate the weekly consumption
+average based on the hourly data, you can use:
+
+.. code:: ipython3
+
+    weekly = hourly_data.resample(freq="1w", rule="mean")
+
+.. code:: ipython3
+
+    weekly.freq
+
+
+
+
+.. parsed-literal::
+
+    <Week: weekday=6>
+
+
+
+Compute Mean, Sum, and Peak
+---------------------------
+
+You can calculate the mean and the sum of all the columns of your RAMP
+simulations stored in a ``Plot`` object using the ``mean`` and ``sum``
+functions:
+
+.. code:: ipython3
+
+    mean = hourly_data.mean()
+    mean
+
+
+
+
+.. parsed-literal::
+
+                              Mean
+    2022-01-01 00:00:00  36.000000
+    2022-01-01 01:00:00  36.000000
+    2022-01-01 02:00:00  36.000000
+    2022-01-01 03:00:00  36.000000
+    2022-01-01 04:00:00  36.000008
+    2022-01-01 05:00:00  36.053523
+    2022-01-01 06:00:00  37.023682
+    2022-01-01 07:00:00   2.744088
+    2022-01-01 08:00:00   9.889124
+    2022-01-01 09:00:00  14.973023
+     ......
+
+
+
+.. code:: ipython3
+
+    summed = hourly_data.sum()
+    summed
+
+
+
+
+.. parsed-literal::
+
+                                Sum
+    2022-01-01 00:00:00  396.000000
+    2022-01-01 01:00:00  396.000000
+    2022-01-01 02:00:00  396.000000
+    2022-01-01 03:00:00  396.000000
+    2022-01-01 04:00:00  396.000083
+    2022-01-01 05:00:00  396.588750
+    2022-01-01 06:00:00  407.260500
+    2022-01-01 07:00:00   30.184967
+    2022-01-01 08:00:00  108.780367
+    2022-01-01 09:00:00  164.703250
+     ......
+
+
+
+You can also find the the peak values and correspondoing hours to the
+peak value for each column of your data using the ``peak`` property:
+
+.. code:: ipython3
+
+    peak = hourly_data.peak
+
+.. code:: ipython3
+
+    peak
+
+
+
+
+.. parsed-literal::
+
+    {'case 1': 2022-10-28 06:00:00    146.00145
+     Freq: H, Name: case 1, dtype: float64,
+     'case 2': 2022-01-28 10:00:00    149.585283
+     Freq: H, Name: case 2, dtype: float64,
+     'case 3': 2022-08-26 21:00:00    164.669633
+     Freq: H, Name: case 3, dtype: float64,
+     'case 4': 2022-07-29 21:00:00    172.667983
+     Freq: H, Name: case 4, dtype: float64,
+     'case 5': 2022-07-04 06:00:00    166.000917
+     Freq: H, Name: case 5, dtype: float64,
+     'case 6': 2022-05-14 06:00:00    162.667917
+     Freq: H, Name: case 6, dtype: float64,
+     'case 7': 2022-03-13 06:00:00    151.002083
+     Freq: H, Name: case 7, dtype: float64,
+     'case 8': 2022-12-16 05:00:00    169.334517
+     Freq: H, Name: case 8, dtype: float64,
+     'case 9': 2022-06-15 18:00:00    149.836033
+     Freq: H, Name: case 9, dtype: float64,
+     'case 10': 2022-02-15 06:00:00    187.00175
+     Freq: H, Name: case 10, dtype: float64,
+     'case 11': 2022-10-21 06:00:00    166.00235
+     Freq: H, Name: case 11, dtype: float64}
+
+
+
+Visualisation
+-------------
+
+A ``Plot`` object offers some easy-to-use plotting functions for routine
+visualisations. Each plotting function allows you to choose the plotting
+engine, which can be either ``matplotlib`` or ``plotly``. The output of
+the plot functions will be a ``matplotlib`` or ``plotly`` object, so you
+can customize your functions after plotting with your specific taste and
+plotting style! You can also use the ``** kwargs`` to pass ``plotly`` or
+``matplotlib`` specific styling features.
+
+Line plot
+~~~~~~~~~
+
+With the line plot function, you can choose one or multiple columns of
+your data to plot a simple line plot:
+
+.. code:: ipython3
+
+    # plotting one column using matplotlib engine (default engine)
+    hourly_data.line(columns="case 1")
+
+
+
+
+.. parsed-literal::
+
+    <AxesSubplot:>
+
+
+
+
+.. image:: output_35_1.png
+
+
+.. code:: ipython3
+
+    # plotting all columns using plotly engine, you can
+    hourly_data.line(engine="plotly", plot_bgcolor="gray", title="My Beautiful Plot")
+
+
+.. image:: output_36_1.png
+
+
+Load duration curve
+~~~~~~~~~~~~~~~~~~~
+
+A Load duration curve (LDC), also known as a duration curve or a
+load-duration profile, represents the cumulative distribution of a given
+energy demand over a specified period of time. To plot this curve, you
+may use the ``load_duration_curve`` function in different modes, like
+taking a specific column of your data and calculating the mean or sum.
+To this end, go through the steps below.
+
+.. code:: ipython3
+
+    # Taking a column
+    hourly_data.load_duration_curve(column="case 1")
+
+
+
+
+.. parsed-literal::
+
+    <AxesSubplot:>
+
+
+
+
+.. image:: output_38_1.png
+
+
+.. code:: ipython3
+
+    # plotting for mean
+    hourly_data.mean().load_duration_curve("Mean")
+
+
+
+
+.. parsed-literal::
+
+    <AxesSubplot:>
+
+
+
+
+.. image:: output_39_1.png
+
+
+.. code:: ipython3
+
+    # Taking sum
+    hourly_data.sum().load_duration_curve("Sum")
+
+
+
+
+.. parsed-literal::
+
+    <AxesSubplot:>
+
+
+
+
+.. image:: output_40_1.png
+
+
+Area Plot
+~~~~~~~~~
+
+Using the ``area`` plot function, you can plot the cumulative sum of the
+the columns in your data.
+
+.. code:: ipython3
+
+    hourly_data.area(engine="plotly")
+
+
+.. image:: output_41_1.png
+
+
+Shadow Plot
+~~~~~~~~~~~
+
+In case you want to represent all the simulations together to show the
+variability of stochastic profiles generated by RAMP, you may use the
+shadow plot.
+
+.. code:: ipython3
+
+    # to have a more visible visualisation, let's only take the first 5 days of the data using the iloc function
+    
+    hourly_data.iloc(index=slice(0, 24 * 5)).shadow(
+        average=True,  # plotting the average with a bold line and all the other columns as a cloud around it
+        engine="plotly",
+    )
+
+.. image:: output_42_1.png
+
+
+General plot function
+~~~~~~~~~~~~~~~~~~~~~
+
+The Plot object has a function called ``plot`` that returns a
+pd.DataFrame.plot function offering some more plotting routines:
+
+.. code:: ipython3
+
+    # plotting the yearly consumption of different cases as bar charts
+    hourly_data.resample("1y", "sum").plot(kind="bar")
+
+
+
+
+.. parsed-literal::
+
+    <AxesSubplot:>
+
+
+
+
+.. image:: output_46_1.png
+
+
+Saving the data into a file
+---------------------------
+
+If you want to save the data into a ``.csv`` or ``.xlsx`` file, you can
+use the two save functions:
+
+.. code:: ipython3
+
+    # saving as csv
+    hourly_data.to_csv("path and name of csv file.csv")
+    
+    # saving as xslx
+    hourly_data.to_excel("path and name of excel file.xlsx")
diff --git a/docs/source/examples/simple_bulb/output_12_1.png b/docs/source/examples/simple_bulb/output_12_1.png
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diff --git a/docs/source/examples/simple_bulb/output_6_1.png b/docs/source/examples/simple_bulb/output_6_1.png
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diff --git a/docs/source/examples/simple_bulb/output_6_2.png b/docs/source/examples/simple_bulb/output_6_2.png
index 45ce748c..0e38050b 100644
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diff --git a/docs/source/examples/simple_bulb/output_9_1.png b/docs/source/examples/simple_bulb/output_9_1.png
new file mode 100644
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diff --git a/docs/source/examples/simple_bulb/simple_bulb.rst b/docs/source/examples/simple_bulb/simple_bulb.rst
index 4b6666da..fd4ed059 100644
--- a/docs/source/examples/simple_bulb/simple_bulb.rst
+++ b/docs/source/examples/simple_bulb/simple_bulb.rst
@@ -1,10 +1,10 @@
-Simple Appliances with multiple functioning time
-================================================
+Simple Appliances with multiple functioning windows
+===================================================
 
 .. code:: ipython3
 
     # importing functions
-    from ramp import User,calc_peak_time_range,yearly_pattern
+    from ramp import User, UseCase, get_day_type
     import pandas as pd
 
 Creating a user category
@@ -13,8 +13,8 @@ Creating a user category
 .. code:: ipython3
 
     household = User(
-        user_name = "Household",
-        num_users = 10,
+        user_name="Household",
+        num_users=10,
     )
 
 Creating a simple appliance with two functioning time
@@ -23,25 +23,24 @@ Creating a simple appliance with two functioning time
 .. code:: ipython3
 
     indoor_bulb = household.add_appliance(
-        name = "Indoor Light Bulb",
-        number = 6,
-        power  = 7,
-        num_windows = 2,
-        func_time = 120,
-        time_fraction_random_variability = 0.2,
-        func_cycle = 10,
-        window_1 = [1170,1440], # from 19:30 to 24:00
-        window_2 = [0,30], # from 24 to 00:30
-        random_var_w = 0.35,
+        name="Indoor Light Bulb",
+        number=6,
+        power=7,
+        num_windows=2,
+        func_time=120,
+        time_fraction_random_variability=0.2,
+        func_cycle=10,
+        window_1=[1170, 1440],  # from 19:30 to 24:00
+        window_2=[0, 30],  # from 24 to 00:30
+        random_var_w=0.35,
     )
 
-
 .. code:: ipython3
 
     # Checking the maximum profile of the appliance and user
     
-    max_profile_bulb = pd.DataFrame(indoor_bulb.maximum_profile,columns=["appliance"])
-    max_profile_user = pd.DataFrame(household.maximum_profile,columns=["household"])
+    max_profile_bulb = pd.DataFrame(indoor_bulb.maximum_profile, columns=["appliance"])
+    max_profile_user = pd.DataFrame(household.maximum_profile, columns=["household"])
     
     max_profile_bulb.plot()
     max_profile_user.plot()
@@ -51,7 +50,7 @@ Creating a simple appliance with two functioning time
 
 .. parsed-literal::
 
-    <AxesSubplot:>
+    <Axes: >
 
 
 
@@ -63,128 +62,81 @@ Creating a simple appliance with two functioning time
 .. image:: output_6_2.png
 
 
-Defining the peak time range using the calc_peak_time_range
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+Whole year profile functionality
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: ipython3
 
-    peak_time_range = calc_peak_time_range(
-        user_list = [household]
-    )
-    
-    print(peak_time_range)
+    whole_year_profile = []
+    use_case = UseCase(users=[household], date_start="2020-01-01", date_end="2020-12-31")
+    whole_year_profile = use_case.generate_daily_load_profiles()
 
 
 .. parsed-literal::
 
-    [1222 1223 1224 1225 1226 1227 1228 1229 1230 1231 1232 1233 1234 1235
-     1236 1237 1238 1239 1240 1241 1242 1243 1244 1245 1246 1247 1248 1249
-     1250 1251 1252 1253 1254 1255 1256 1257 1258 1259 1260 1261 1262 1263
-     1264 1265 1266 1267 1268 1269 1270 1271 1272 1273 1274 1275 1276 1277
-     1278 1279 1280 1281 1282 1283 1284 1285 1286 1287 1288 1289 1290 1291
-     1292 1293 1294 1295 1296 1297 1298 1299 1300 1301 1302 1303 1304 1305
-     1306 1307 1308 1309 1310 1311 1312 1313 1314 1315 1316 1317 1318 1319
-     1320 1321 1322 1323 1324 1325 1326 1327 1328 1329 1330 1331 1332 1333
-     1334 1335 1336 1337 1338 1339 1340 1341 1342 1343 1344 1345 1346 1347
-     1348 1349 1350 1351 1352 1353 1354 1355 1356 1357 1358 1359 1360 1361
-     1362 1363 1364 1365 1366 1367 1368 1369]
+    You will simulate 366 day(s) from 2020-01-01 00:00:00 until 2021-01-01 00:00:00
 
 
-Defining the yearly patterns
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+.. code:: ipython3
 
-by default the yearly_pattern function returns weekdays (defined by 0)
-/weekends (defined by 1) division
+    whole_year_profile = pd.DataFrame(
+        whole_year_profile, columns=["household"], index=use_case.datetimeindex
+    )
+    whole_year_profile.plot()
 
-.. code:: ipython3
 
-    year_behaviour = yearly_pattern()
-    
-    print(year_behaviour)
 
 
 .. parsed-literal::
 
-    [0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0.
-     0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1.
-     1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0.
-     0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0.
-     1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0.
-     0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0.
-     0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1.
-     0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0.
-     0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1.
-     1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0.
-     0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0.
-     1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0.
-     0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0.
-     0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1.
-     0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0. 0.
-     0. 0. 1. 1. 0.]
-
-
-Generating a profile for the ith day of the year
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+    <Axes: >
 
-.. code:: ipython3
 
-    single_profile = household.generate_single_load_profile(
-        prof_i = 1, # the day to generate the profile
-        peak_time_range = peak_time_range,
-        Year_behaviour = year_behaviour
-    )
 
 
-.. code:: ipython3
+.. image:: output_9_1.png
 
-    single_profile = pd.DataFrame(single_profile,columns=["household"])
-    single_profile.plot()
 
+Generating a profile for a single day
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+provide day_type=0 for weekday and day_type=1 for weekends
 
+.. code:: ipython3
 
+    single_profile = household.generate_single_load_profile(day_type=0)
 
-.. parsed-literal::
+.. code:: ipython3
 
-    <AxesSubplot:>
+    single_profile = pd.DataFrame(single_profile, columns=["household"])
+    single_profile.plot()
 
 
 
 
-.. image:: output_13_1.png
+.. parsed-literal::
 
+    <Axes: >
 
-Whole year profile functionality
-~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-.. code:: ipython3
 
-    whole_year_profile = []
-    
-    for i in range(365):
-        whole_year_profile.extend(
-            household.generate_single_load_profile(
-                    prof_i = i,
-                    peak_time_range = peak_time_range,
-                    Year_behaviour = year_behaviour
-                    
-            )
-        )
 
-.. code:: ipython3
+.. image:: output_12_1.png
+
 
-    ### Generating aggregated_load_profile for the user category
+Generating aggregated_load_profile for the user category
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Single daily profiles are aggregated for all the users defined within
+the User class
 
 .. code:: ipython3
 
-    aggregated_profile = household.generate_aggregated_load_profile(
-        prof_i = 1,
-        peak_time_range = peak_time_range,
-        Year_behaviour = year_behaviour
-    )
+    aggregated_profile = household.generate_aggregated_load_profile()
 
 .. code:: ipython3
 
-    aggregated_profile = pd.DataFrame(aggregated_profile,columns = ["household"])
+    aggregated_profile = pd.DataFrame(aggregated_profile, columns=["household"])
     aggregated_profile.plot()
 
 
@@ -192,10 +144,11 @@ Whole year profile functionality
 
 .. parsed-literal::
 
-    <AxesSubplot:>
+    <Axes: >
+
 
 
 
+.. image:: output_15_1.png
 
-.. image:: output_18_1.png
 
diff --git a/docs/source/examples/thermal_app/output_14_1.png b/docs/source/examples/thermal_app/output_14_1.png
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diff --git a/docs/source/examples/thermal_app/output_15_1.png b/docs/source/examples/thermal_app/output_15_1.png
index db617f0a..e8d7662b 100644
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diff --git a/docs/source/examples/thermal_app/output_6_1.png b/docs/source/examples/thermal_app/output_6_1.png
index 848383be..f13e7b8e 100644
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diff --git a/docs/source/examples/thermal_app/thermal_app.rst b/docs/source/examples/thermal_app/thermal_app.rst
index 84fca84a..de36db0d 100644
--- a/docs/source/examples/thermal_app/thermal_app.rst
+++ b/docs/source/examples/thermal_app/thermal_app.rst
@@ -3,13 +3,17 @@ Thermal loads
 
 This example input file represents a single household user whose only
 load is the “shower”. The example showcases how to model thermal loads
-by means of the :code:`thermal_P_var` attribute.
+by: 1) using a time-varying average ``power`` attribute, pre-calculated
+as a function of the average daily groundwater temperature; and 2) using
+the ``thermal_p_var`` attribute to add further variability to the actual
+power absorbed by the appliance in each usage event, which reflects the
+randomness of user behaviour in preferring a slightly warmer or colder
+shower temperature.
 
 .. code:: ipython3
 
     # importing functions
-    from ramp import User,calc_peak_time_range,yearly_pattern
-    from ramp import load_data
+    from ramp import User, UseCase, load_data, get_day_type
     import pandas as pd
 
 Creating a user category and appliances
@@ -19,10 +23,11 @@ Creating a user category and appliances
 
     household = User()
 
-When the power is varying during the day, the “power” parameter needs to
-be passed as a pd.DataFrame or np.array with a daily profile (365 rows
-of data). For this exercise, data can be loaded from the default
-examples in ramp:
+When the power varies across days of the year, for instance, as a
+function of the average daily groundwater temperature, the “power”
+parameter can be passed as a ``pd.DataFrame`` or ``np.array`` with a
+daily profile (365 rows of data). For this exercise, data can be loaded
+from the default examples in ramp:
 
 .. code:: ipython3
 
@@ -38,7 +43,7 @@ examples in ramp:
 
 .. parsed-literal::
 
-    <AxesSubplot:>
+    <Axes: >
 
 
 
@@ -49,68 +54,55 @@ examples in ramp:
 .. code:: ipython3
 
     shower = household.add_appliance(
-        name = "Shower",
-        number = 1,
-        power  = shower_power,
-        num_windows = 2,
-        func_time = 15,
-        time_fraction_random_variability = 0.1,
-        func_cycle = 3,
-        window_1 = [390,540],
-        window_2 = [1080,1200],
-        random_var_w = 0.2
+        name="Shower",
+        number=1,
+        power=shower_power,
+        num_windows=2,
+        func_time=15,
+        time_fraction_random_variability=0.1,
+        func_cycle=3,
+        window_1=[390, 540],
+        window_2=[1080, 1200],
+        random_var_w=0.2,
     )
 
-
-Generating profiles
-~~~~~~~~~~~~~~~~~~~
+Generating profiles for increasing degrees of ``thermal_p_var``
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: ipython3
 
-    peak_time_range = calc_peak_time_range(
-        user_list = [household]
-    )
-    year_behaviour = yearly_pattern()
+    usecase = UseCase(users=[household], date_start="2020-01-01")
+    usecase.initialize(num_days=365)
 
-.. code:: ipython3
 
-    # generating the yearly profiles for different thermal_P_var
+.. parsed-literal::
+
+    You will simulate 365 day(s) from 2020-01-01 00:00:00 until 2020-12-31 00:00:00
+
 
 .. code:: ipython3
 
-    def thermal_P_var_sensitivity(values):
-        
+    def thermal_p_var_sensitivity(values):
         # buidling a pd.DataFrame for saving sensitivity results
-        results = pd.DataFrame(    
-            index = pd.date_range(start = "2020-01-01",periods = 1440*365,freq="T"),
-            columns = [f"P_var = {value}" for value in values]
+        results = pd.DataFrame(
+            index=pd.date_range(start="2020-01-01", periods=1440 * 365, freq="T"),
+            columns=[f"p_var = {value}" for value in values],
         )
-        
+    
         for value in values:
-            
             # changing the thermal_P_var
-            household.thermal_P_var = value
-            
-            # creating a list to sotre profiles for all the years of the year
-            profiles = []
-            for day in range(365):
+            shower.thermal_p_var = value
+    
+            profiles = usecase.generate_daily_load_profiles(flat=True)
     
-                profile = household.generate_single_load_profile(
-                        prof_i = day, 
-                        peak_time_range = peak_time_range,
-                        Year_behaviour = year_behaviour
-                    )
+            # assigning the yearly profile for a given sensitivity case
+            results[f"p_var = {value}"] = profiles
     
-                profiles.extend(profile)
-                
-            # assiging the yearly profile for a given sensitivity case
-            results[f"P_var = {value}"] = profiles
-            
         return results
 
 .. code:: ipython3
 
-    sensitivity_results = thermal_P_var_sensitivity([0,0.25,0.5,0.75,1])
+    sensitivity_results = thermal_p_var_sensitivity([0, 0.25, 0.5, 0.75, 1])
 
 .. code:: ipython3
 
@@ -139,11 +131,11 @@ Generating profiles
       <thead>
         <tr style="text-align: right;">
           <th></th>
-          <th>P_var = 0</th>
-          <th>P_var = 0.25</th>
-          <th>P_var = 0.5</th>
-          <th>P_var = 0.75</th>
-          <th>P_var = 1</th>
+          <th>p_var = 0</th>
+          <th>p_var = 0.25</th>
+          <th>p_var = 0.5</th>
+          <th>p_var = 0.75</th>
+          <th>p_var = 1</th>
         </tr>
       </thead>
       <tbody>
@@ -256,10 +248,31 @@ Generating profiles
 
 .. parsed-literal::
 
-    <AxesSubplot:>
+    <Axes: >
+
+
+
+
+.. image:: output_14_1.png
+
+
+.. code:: ipython3
+
+    first_day = pd.date_range(
+        start="2020-01-01 00:00:00", freq="1min", periods=24 * 60  # a full day
+    )
+    sensitivity_results.loc[first_day].plot()
+
+
+
+
+.. parsed-literal::
+
+    <Axes: >
 
 
 
 
 .. image:: output_15_1.png
 
+
diff --git a/docs/source/examples/using_excel/output_17_1.png b/docs/source/examples/using_excel/output_17_1.png
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diff --git a/docs/source/examples/using_excel/output_19_0.png b/docs/source/examples/using_excel/output_19_0.png
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diff --git a/docs/source/examples/using_excel/using_excel.rst b/docs/source/examples/using_excel/using_excel.rst
index 25209c9b..a97dba6a 100644
--- a/docs/source/examples/using_excel/using_excel.rst
+++ b/docs/source/examples/using_excel/using_excel.rst
@@ -1,32 +1,31 @@
 Using tabular inputs to build a model
-============================
+=====================================
 
-When the number of users or appliances is high, it can be difficult 
-to create a model using python scripts. Therefore, RAMP allows you 
-to create inputs in tabular format (.xlsx). In this example we show
-a use case of this functionality.
+When the number of users or appliances is high, it can be difficult to
+create a model using Python scripts. Therefore, RAMP allows you to
+create inputs in tabular format (``.xlsx``). On the other hand, it is
+still possible to use Python to generate a large tabular file with
+default parameter values, which can then be more easily customised. In
+this example, we show a possible utilisation of this functionality.
 
 .. code:: ipython3
 
-    from ramp import User, Appliance, UseCase
-    from ramp import calc_peak_time_range,yearly_pattern
+    from ramp import User, Appliance, UseCase, get_day_type
     import pandas as pd
 
-At the first step, user needs to creat User classes and assign
-Appliances to the user class without assiging any detailed appliance
-characteristics
+As a first step, one must create ``User`` classes and assign
+``Appliances`` to the user class without assigning detailed appliance
+characteristics. Hence, users and their appliances are added to a
+``UseCase``.
 
-Buidling a model database
-~~~~~~~~~~~~~~~~~~~~~~~~~
+Building a tabular file populated with default data
+---------------------------------------------------
 
 .. code:: ipython3
 
     # Defining a dict of users with their appliances
     
-    user_app = {
-        "household" : ["light","tv"],
-        "school": ["light","computer"]
-    }
+    user_app = {"household": ["light", "tv"], "school": ["light", "computer"]}
 
 .. code:: ipython3
 
@@ -36,26 +35,25 @@ Buidling a model database
 .. code:: ipython3
 
     # assinging the appliances to users
-    for user,apps in user_app.items():
-        
-        user_instance = User(user_name = user)
-        
+    for user, apps in user_app.items():
+        user_instance = User(user_name=user)
+    
         for app in apps:
             app_instance = user_instance.add_appliance(name=app)
             app_instance.windows()
-            
+    
         use_case.add_user(user_instance)
 
 
 .. parsed-literal::
 
-    UserWarning: No windows is declared, default window of 24 hours is selected
-      warnings.warn(UserWarning("No windows is declared, default window of 24 hours is selected"))
+    /home/fl/GitHub-repos/RAMP/ramp/core/core.py:1198: UserWarning: No windows is declared, default window of 24 hours is selected
+      warnings.warn(
 
 
-Once the users and appliances are added to the :code:`use_case` instance, the
-user can get a pd.DataFrame or an .xlsx file of all the data with the
-default values.
+Once the ``Users`` and ``Appliances`` are added to the ``use_case``
+instance, the model user can get a ``pd.DataFrame`` or an ``.xlsx`` file
+of all the data with the default values.
 
 Exporting the database
 ~~~~~~~~~~~~~~~~~~~~~~
@@ -218,11 +216,12 @@ Exporting the database
 .. code:: ipython3
 
     # Printing out the database to an .xlsx file
-    use_case.save("path/name_of_file")
+    use_case.save("example_excel_usecase")
 
-Once the function is used, an .xlsx file will be created in the given
-path. Now you can easily fill-out the information in the .xlsx file and
-load the data into the model database as detailed below.
+Once the function is used, an ``.xlsx`` file will be created in the
+given path. Now, you can easily fill out the information in the
+``.xlsx`` file and load the data into the model database as detailed
+below.
 
 Loading the database
 ~~~~~~~~~~~~~~~~~~~~
@@ -231,54 +230,88 @@ Loading the database
 
     # loading data
     
-    use_case = UseCase() # creating a new UseCase instance
-    use_case.load("path/name_of_file.xlsx")
+    use_case = UseCase()  # creating a new UseCase instance
+    use_case.load("example_excel_usecase_filled.xlsx")
 
 Generating load profiles
-~~~~~~~~~~~~~~~~~~~~~~~~
+------------------------
 
 Once the database is loaded, the user can continue with the normal
-analysis like generating aggregated profiles
+analysis, for instance, generating aggregated profiles
+
+.. code:: ipython3
+
+    n_days = 30
+    date_start = "2020-01-01"
+    use_case.date_start = date_start
+    use_case.initialize(num_days=n_days, force=True)
+    use_case.generate_daily_load_profiles()
+
+
+.. parsed-literal::
+
+    You will simulate 30 day(s) from 2020-01-01 00:00:00 until 2020-01-31 00:00:00
+
+
+
+
+.. parsed-literal::
+
+    array([0.   , 0.   , 0.   , ..., 0.002, 0.002, 0.002])
+
+
 
 .. code:: ipython3
 
-    peak_time_range = calc_peak_time_range(
-        user_list = use_case.users
+    profiles = pd.DataFrame(
+        data=use_case.generate_daily_load_profiles(flat=True),
+        index=pd.date_range(start=date_start, periods=1440 * n_days, freq="T"),
     )
     
-    year_behaviour = yearly_pattern()
+    profiles.plot(title="Usecase")
+
+
+
+
+.. parsed-literal::
+
+    <Axes: title={'center': 'Usecase'}>
+
+
+
+
+.. image:: output_17_1.png
+
+
+Generating load profiles for the single users of the usecase
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
 .. code:: ipython3
 
-    n_days = 30
-    
-    
-    
     for user in use_case.users:
         user_profiles = []
-        for day in range(n_days):
+        for day_idx, day in enumerate(use_case.days):
             profile = user.generate_aggregated_load_profile(
-                            prof_i = day,
-                            peak_time_range = peak_time_range,
-                            Year_behaviour = year_behaviour
-                        )
-            
+                prof_i=day_idx,
+                peak_time_range=use_case.peak_time_range,
+                day_type=get_day_type(day),
+            )
+    
             user_profiles.extend(profile)
-            
-        profiles = pd.DataFrame(   
-            data = user_profiles,
-            index = pd.date_range(start = "2020-01-01",periods = 1440*n_days,freq="T"),
+    
+        profiles = pd.DataFrame(
+            data=user_profiles,
+            index=pd.date_range(start=date_start, periods=1440 * n_days, freq="T"),
         )
-        
-        profiles.plot(title = user.user_name)
-        
-            
+    
+        profiles.plot(title=user.user_name)
 
 
 
-.. image:: output_17_0.png
+.. image:: output_19_0.png
 
 
 
-.. image:: output_17_1.png
+.. image:: output_19_1.png
+
 
diff --git a/docs/source/input_parameters.rst b/docs/source/input_parameters.rst
index c51736b8..ea8938b5 100644
--- a/docs/source/input_parameters.rst
+++ b/docs/source/input_parameters.rst
@@ -1,6 +1,8 @@
-######################################
+Model Parameters
+================
+
 Excel input file parameter description
-######################################
+--------------------------------------
 
 The table below displays the input parameters of RAMP. If **NA** is displayed in the table below, it means that the corresponding column is not applicable to the parameter.
 
@@ -227,7 +229,7 @@ The **"allowed values"** column provide information about the format one should
      - 0
 
 Python input file parameter description
-=======================================
+---------------------------------------
 
 A new instance of class ``User`` requires the parameters ``user_name``,
 ``num_users``, ``user_preference`` from the table above. To add an
diff --git a/ramp/__init__.py b/ramp/__init__.py
index 5f2dface..3f23af7e 100644
--- a/ramp/__init__.py
+++ b/ramp/__init__.py
@@ -16,10 +16,9 @@
 
 from ramp._version import __version__
 from ramp.core.core import UseCase, User, Appliance
-from ramp.core.stochastic_process import calc_peak_time_range
-from ramp.core.utils import yearly_pattern
+from ramp.core.utils import yearly_pattern, get_day_type
 from ramp.example.examples import load_data, download_example
-from ramp.post_process.post_process import Run, Plot
+from ramp.post_process.post_process import Plot
 
 __authors__ = "Listed in AUTHORS"
 __copyright__ = (
diff --git a/ramp/cli.py b/ramp/cli.py
index 541eabf0..d4f9e94f 100644
--- a/ramp/cli.py
+++ b/ramp/cli.py
@@ -1,7 +1,6 @@
 import argparse
 import datetime
 import os.path
-import time
 
 import pandas as pd
 import numpy as np
@@ -17,21 +16,21 @@
     dest="fname_path",
     nargs="+",
     type=str,
-    help="path to the (xlsx) input files (including filename). If not provided, then legacy .py input files will be fetched",
+    help="Path to the (.xlsx/.py) input files (including filename). Must be provided",
 )
 parser.add_argument(
     "-o",
     dest="ofname_path",
     nargs="+",
     type=str,
-    help=f"path to the csv output files (including filename). If not provided, default output will be provided in {os.path.join(BASE_PATH, 'results')}",
+    help=f"Path to the csv output files (including filename). If not provided, default output will be provided in {os.path.join(BASE_PATH, 'results')}",
 )
 parser.add_argument(
     "-n",
-    dest="num_profiles",
+    dest="num_days",
     nargs="+",
     type=int,
-    help="number of profiles to be generated",
+    help="Number of daily profiles to be generated",
 )
 
 parser.add_argument(
@@ -57,7 +56,11 @@
 )
 
 parser.add_argument(
-    "--ext", dest="extension", type=str, help="Format of input files", default="xlsx"
+    "--ext",
+    dest="extension",
+    type=str,
+    help="Format of input files for monthly variability (only used in combination with -y option and when -i path is a directory)",
+    default="xlsx",
 )
 
 parser.add_argument(
@@ -67,7 +70,7 @@
     const=True,
     nargs="?",
     type=bool,
-    help="Wether or not the simulation uses parallel processing",
+    help="Whether or not the simulation uses parallel processing",
 )
 
 
@@ -75,7 +78,7 @@ def main():
     args = vars(parser.parse_args())
     fnames = args["fname_path"]
     ofnames = args["ofname_path"]
-    num_profiles = args["num_profiles"]
+    num_days = args["num_days"]
     # Define which input files should be considered and run.
     date_start = args["date_start"]
     date_end = args["date_end"]
@@ -84,12 +87,22 @@ def main():
 
     years = args["years"]
 
-    if date_start is None:
-        if date_end is not None:
-            date_start = datetime.date(date_end.year, 1, 1)
-    else:
-        if date_end is None:
-            date_end = datetime.date(date_start.year, 12, 31)
+    if num_days is None:
+        if date_start is None:
+            if date_end is not None:
+                date_start = datetime.date(date_end.year, 1, 1)
+                # logging.info
+                print(
+                    f"You did not provide a start date, this is chosen automatically for you: {date_start}"
+                )
+
+        else:
+            if date_end is None:
+                date_end = datetime.date(date_start.year, 12, 31)
+                # logging.info
+                print(
+                    f"You did not provide an end date, this is chosen automatically for you: {date_end}"
+                )
 
     month_files = False
 
@@ -127,73 +140,57 @@ def main():
             else:
                 print("You selected a single year but the input path is not a folder.")
 
-    if date_start is not None and date_end is not None:
-        days = pd.date_range(start=date_start, end=date_end)
-    else:
-        days = None
-
     if ofnames is None:
         ofnames = [None]
 
     if fnames is None:
-        print(
-            "Please provide path to input file with option -i, \n\nDefault to old version of RAMP input files\n"
-        )
-        # Files are specified as numbers in a list (e.g. [1,2] will consider input_file_1.py and input_file_2.py)
-        from ramp.ramp_run import input_files_to_run
-
-        if num_profiles is not None:
-            if len(num_profiles) == 1:
-                num_profiles = num_profiles * len(input_files_to_run)
+        print("Please provide path to input file with option -i, \n\n")
+    else:
+        if num_days is not None:
+            if len(num_days) == 1:
+                num_days = num_days * len(fnames)
             else:
-                if len(num_profiles) != len(input_files_to_run):
+                if len(num_days) != len(fnames):
                     raise ValueError(
                         "The number of profiles parameters  should match the number of input files provided"
                     )
         else:
-            num_profiles = [None] * len(input_files_to_run)
+            num_days = [None] * len(fnames)
 
-        if len(ofnames) == 1:
-            ofnames = ofnames * len(input_files_to_run)
-        elif len(input_files_to_run) != len(ofnames):
-            raise ValueError(
-                f"The number of output file paths({len(ofnames)}) should match the number of input files paths ({len(input_files_to_run)})"
-            )
+        if month_files is False:
+            if len(ofnames) == 1:
+                ofnames = ofnames * len(fnames)
+            elif len(fnames) != len(ofnames):
+                raise ValueError(
+                    f"The number of output file paths({len(ofnames)}) should match the number of input files paths ({len(fnames)})"
+                )
 
-        for i, j in enumerate(input_files_to_run):
-            run_usecase(
-                j=j,
-                ofname=ofnames[i],
-                num_profiles=num_profiles[i],
-                parallel=parallel_processing,
-            )
-    else:
-        if num_profiles is not None:
-            if len(num_profiles) == 1:
-                num_profiles = num_profiles * len(fnames)
-            else:
-                if len(num_profiles) != len(fnames):
-                    raise ValueError(
-                        "The number of profiles parameters  should match the number of input files provided"
-                    )
+            for i, fname in enumerate(fnames):
+                run_usecase(
+                    fname=fname,
+                    ofname=ofnames[i],
+                    num_days=num_days[i],
+                    date_start=date_start,
+                    date_end=date_end,
+                    plot=True,
+                    parallel=parallel_processing,
+                )
         else:
-            num_profiles = [None] * len(fnames)
-        if month_files is True:
             year_profile = []
             for i, fname in enumerate(fnames):
                 month_start = datetime.date(year, i + 1, 1)
                 month_end = datetime.date(
                     year, i + 1, pd.Period(month_start, freq="D").days_in_month
                 )
-                days = pd.date_range(start=month_start, end=month_end, freq="D")
-                monthly_profiles = run_usecase(
+                run_usecase(
                     fname=fname,
-                    num_profiles=num_profiles[i],
-                    days=days,
+                    ofname=ofnames[i],
+                    num_days=num_days[i],
+                    date_start=month_start,
+                    date_end=month_end,
                     plot=False,
                     parallel=parallel_processing,
                 )
-                year_profile.append(np.hstack(monthly_profiles))
 
             # Create a dataFrame to save the year profile with timestamps every minutes
             series_frame = pd.DataFrame(
@@ -217,22 +214,6 @@ def main():
             resampled.to_csv(
                 os.path.join(BASE_PATH, "yearly_profile_hourly_resolution.csv")
             )
-        else:
-            if len(ofnames) == 1:
-                ofnames = ofnames * len(fnames)
-            elif len(fnames) != len(ofnames):
-                raise ValueError(
-                    f"The number of output file paths({len(ofnames)}) should match the number of input files paths ({len(fnames)})"
-                )
-
-            for i, fname in enumerate(fnames):
-                run_usecase(
-                    fname=fname,
-                    ofname=ofnames[i],
-                    num_profiles=num_profiles[i],
-                    days=days,
-                    parallel=parallel_processing,
-                )
 
 
 if __name__ == "__main__":
diff --git a/ramp/core/core.py b/ramp/core/core.py
index 2cffb77b..e21047b2 100644
--- a/ramp/core/core.py
+++ b/ramp/core/core.py
@@ -12,6 +12,7 @@
 import warnings
 import random
 import math
+import datetime
 from ramp.core.constants import (
     NEW_TO_OLD_MAPPING,
     APPLIANCE_ATTRIBUTES,
@@ -21,12 +22,14 @@
     switch_on_parameters,
 )
 from ramp.core.utils import (
+    get_day_type,
     random_variation,
     duty_cycle,
     random_choice,
     read_input_file,
     within_peak_time_window,
 )
+from ramp.post_process.post_process import Plot
 
 
 from typing import List, Union, Iterable
@@ -41,7 +44,15 @@ def single_appliance_daily_load_profile(args):
 
 
 class UseCase:
-    def __init__(self, name: str = "", users: Union[List, None] = None):
+    def __init__(
+        self,
+        name: str = "",
+        users: Union[List, None] = None,
+        date_start: str = None,
+        date_end: str = None,
+        parallel_processing: bool = False,
+        peak_enlarge: float = 0.15,
+    ):
         """Creates a UseCase instance for gathering a list of User instances which own Appliance instances
 
         Parameters
@@ -50,13 +61,87 @@ def __init__(self, name: str = "", users: Union[List, None] = None):
             name of the usecase instance, by default ""
         users : Union[Iterable,None], optional
             a list of users to be added to the usecase instance, by default None
+        date_start: str, optional
+            start date of the daily profiles generated by the UseCase instance
+        date_end: str, optional
+            end date of the daily profiles generated by the UseCase instance
+        parallel_processing: bool, optional
+            if set True, the profiles will be generated in parallel rather than sequencially
+        peak_enlarge: float, optional
+            percentage random enlargement or reduction of peak time range length, used in UseCase.calc_peak_time_range
+
         """
         self.name = name
+        self._date_start = (
+            datetime.datetime.fromisoformat(date_start)
+            if isinstance(date_start, str)
+            else date_start
+        )
+        self._date_end = (
+            datetime.datetime.fromisoformat(date_end)
+            if isinstance(date_end, str)
+            else date_end
+        )
+        self.parallel_processing = parallel_processing
+        self._peak_enlarge = peak_enlarge
+        self.peak_time_range = None
+        self.days = None
+        self.__num_days = None
+        self.__datetimeindex = None
+        self.daily_profiles = None
+
         self.appliances = []
+        self.users = []
         if users is None:
             users = []
-        self.users = users
+        self.add_user(users)
+
         self.collect_appliances_from_users()
+        if self.date_start is not None and self.date_end is not None:
+            self.initialize()
+
+    @property
+    def date_start(self):
+        """Start date of the daily profiles generated by the UseCase instance"""
+        return self._date_start
+
+    @date_start.setter
+    def date_start(self, new_date):
+        self._date_start = (
+            datetime.datetime.fromisoformat(new_date)
+            if isinstance(new_date, str)
+            else new_date
+        )
+
+    @property
+    def date_end(self):
+        """End date of the daily profiles generated by the UseCase instance"""
+        return self._date_end
+
+    @date_end.setter
+    def date_end(self, new_date):
+        self._date_end = (
+            datetime.datetime.fromisoformat(new_date)
+            if isinstance(new_date, str)
+            else new_date
+        )
+
+    @property
+    def peak_enlarge(self):
+        return self._peak_enlarge
+
+    @peak_enlarge.setter
+    def peak_enlarge(self, new_peak_enlarge):
+        """Percentage random enlargement or reduction of peak time range length, used in UseCase.calc_peak_time_range"""
+
+        if isinstance(new_peak_enlarge, float):
+            if new_peak_enlarge >= 0:
+                self._peak_enlarge = new_peak_enlarge
+                self.peak_time_range = self.calc_peak_time_range()
+            else:
+                raise ValueError("peak enlarge value must be greater than 0")
+        else:
+            raise TypeError("peak enlarge must be a float")
 
     def add_user(self, user) -> None:
         """adds new user to the user property list
@@ -64,7 +149,7 @@ def add_user(self, user) -> None:
         Parameters
         ----------
         user : User
-            an user instance
+            a user instance
 
         Raises
         ------
@@ -72,50 +157,311 @@ def add_user(self, user) -> None:
             any type rather than User will raise the error.
         """
         if isinstance(user, User):
+            user.usecase = self
             self.users.append(user)
+        elif isinstance(user, list):
+            for u in user:
+                self.add_user(u)
         else:
             raise InvalidType(
                 f"{type(user)} is not valid. Only 'User' type is acceptable."
             )
 
     def collect_appliances_from_users(self):
+        """Gather all appliances from a UseCase instance users into self.appliances attribute"""
         appliances = []
         for user in self.users:
             appliances = appliances + user.App_list
         self.appliances = appliances
 
-    def generate_daily_load_profiles(self, num_profiles, peak_time_range, day_types):
-        profiles = []
-        for prof_i in range(num_profiles):
-            # initialise an empty daily profile (or profile load)
-            # that will be filled with the sum of the daily profiles of each User instance
-            usecase_load = np.zeros(1440)
-            # for each User instance generate a load profile, iterating through all user of this instance and
-            # all appliances they own, corresponds to step 2. of [1], p.7
-            for user in self.users:
-                user.generate_aggregated_load_profile(
-                    prof_i, peak_time_range, day_types
+    @property
+    def num_days(self):
+        """Number of days for which the UseCase instance will be able to generate profiles"""
+        if self.__num_days is None:
+            self.initialize()
+        return self.__num_days
+
+    @property
+    def datetimeindex(self):
+        """Return the datetimeindex of the UseCase and call UseCase.initialize() if it was not set"""
+        if self.__datetimeindex is None:
+            self.initialize()
+        return self.__datetimeindex
+
+    def initialize(
+        self, num_days: int = None, peak_enlarge: float = None, force: bool = False
+    ):
+        """Sets the list of days for which to generate profiles and compute peak time range
+
+        Parameters
+        ----------
+        num_days: int, optional
+            if provided it will set the number of days on which profiles will be generated (num_days from date_start
+            or num_days until date_end). If both date_start and date_end are provided, num_days will run from date_start
+            and a warning will be printed
+        peak_enlarge: float, optional
+            percentage random enlargement or reduction of peak time range length, used in UseCase.calc_peak_time_range
+        force: bool, optional
+            if the UseCase instance has already been initialized, it can be forced to take new values with this option set to True
+
+        """
+        # TODO allow calendar years multi-year inputs
+
+        if self.is_initialized is True and force is False:
+            # logging.warning
+            print(
+                f"The usecase '{self.name}' is already initialized. If you want to force the reinitialization, use argument `force=True`\n"
+                f"You will typically see this message if you provide 'date_start' and 'date_end' to a UseCase instance and want to call the method initialize() on top of that"
+            )
+        else:
+            if self.is_initialized is True and force is True:
+                # logging.info
+                print(
+                    f"The usecase '{self.name}' is already initialized but argument `force=True` was provided, reinitializing..."
+                )
+                self.days = None
+
+            if num_days is not None:
+                self.__num_days = num_days
+                if self.days is not None:
+                    # logging.error
+                    print(
+                        f"You want to initialize the usecase '{self.name}' with num_days but you already have provided days. This might be the case if you use UseCase.load() before you used UseCase.initialize()"
+                    )
+                    self.__num_days = None
+
+            if self.date_start is not None and self.date_end is not None:
+                self.days = pd.date_range(
+                    start=self.date_start, end=self.date_end
+                )  # TODO add one extra day
+                if self.__num_days is not None:
+                    if self.__num_days != len(self.days):
+                        # logging.warning
+                        print(
+                            "You provided arguments 'date_start' and 'date_end' to your usecase. However you provided argument 'num_days' to 'initialize' method, this will build a date range from 'date_start' with 'num_days' days"
+                        )
+                        self.days = None
+                    else:
+                        self.__num_days = len(self.days)
+                else:
+                    self.__num_days = len(self.days)
+
+            if self.__num_days is None:
+                # asks the user how many days (i.e. code runs) they want
+                self.__num_days = int(
+                    input("please indicate the number of days to be generated: ")
                 )
-                # aggregate the user load to the usecase load
-                usecase_load = usecase_load + user.load
-            profiles.append(usecase_load)
-            # screen update about progress of computation
-            # print('Profile', prof_i+1, '/', num_profiles, 'completed')
-        return profiles
-
-    def generate_daily_load_profiles_parallel(
-        self, num_profiles, peak_time_range, day_types
+                print("Please wait...")
+
+            if self.days is None:
+                # TODO add 24 hours to date end in the display
+                if self.date_start is not None:
+                    self.days = pd.date_range(
+                        start=self.date_start, periods=self.__num_days
+                    )
+                    # logging info
+                    print(
+                        f"You will simulate {self.__num_days} day(s) from {self.date_start} until {self.days[-1]+datetime.timedelta(days=1)}"
+                    )
+                else:
+                    if self.date_end is not None:
+                        self.days = pd.date_range(
+                            end=self.date_end, periods=self.__num_days
+                        )
+                        # logging info
+                        print(
+                            f"You will simulate {self.__num_days} day(s) from {self.days[0]} until {self.date_end+datetime.timedelta(days=1)}"
+                        )
+
+                    else:
+                        today = datetime.datetime.today()
+
+                        self.days = pd.date_range(
+                            start=datetime.datetime(today.year, today.month, today.day),
+                            periods=self.__num_days,
+                        )
+                        # logging info
+                        print(
+                            f"You will simulate {self.__num_days} day(s) from {self.days[0]} until {self.days[-1]+datetime.timedelta(days=1)}"
+                        )
+
+            else:
+                print(
+                    f"You will simulate {self.__num_days} day(s) from {self.days[0]} until {self.days[-1]+datetime.timedelta(days=1)}"
+                )
+            if peak_enlarge is not None:
+                self.peak_enlarge = peak_enlarge
+            else:
+                self.peak_time_range = self.calc_peak_time_range()
+            # format datetimeindex in minutes
+            self.__datetimeindex = pd.date_range(
+                start=self.days[0],
+                end=self.days[-1] + pd.Timedelta(1, "d") - pd.Timedelta(1, "T"),
+                freq="T",
+            )
+
+    @property
+    def is_initialized(self):
+        answer = False
+        if (
+            self.__num_days is not None
+            and self.__datetimeindex is not None
+            and self.peak_time_range is not None
+        ):
+            answer = True
+        return answer
+
+    def calc_peak_time_range(self, peak_enlarge=None):
+        """
+        Calculate the peak time range, which is used to discriminate between off-peak and on-peak coincident switch-on probability
+        Calculate first the overall Peak Window (taking into account all User classes).
+        The peak time range corresponds to `peak time frame` variable in eq. (1) of [1]
+        The peak window is just a time window in which coincident switch-on of multiple appliances assumes a higher probability than off-peak
+        Within the peak window, a random peak time is calculated and then enlarged into a peak_time_range following again a random procedure
+
+        Parameters
+        ----------
+        peak_enlarge: float
+            percentage random enlargement or reduction of peak time range length
+            corresponds to \delta_{peak} in [1], p.7
+
+        Notes
+        -----
+        [1] F. Lombardi, S. Balderrama, S. Quoilin, E. Colombo,
+            Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model,
+            Energy, 2019, https://doi.org/10.1016/j.energy.2019.04.097.
+
+        Returns
+        -------
+        peak time range: numpy array
+        """
+
+        if peak_enlarge is None:
+            peak_enlarge = self.peak_enlarge
+        else:
+            self.peak_enlarge = peak_enlarge
+
+        tot_max_profile = np.zeros(1440)  # creates an empty daily profile
+        # Aggregate each User's theoretical max profile to the total theoretical max
+        for user in self.users:
+            tot_max_profile = tot_max_profile + user.maximum_profile
+        # Find the peak window within the theoretical max profile
+        peak_window = np.squeeze(
+            np.argwhere(tot_max_profile == np.amax(tot_max_profile))
+        )
+        # Within the peak_window, randomly calculate the peak_time using a gaussian distribution
+        peak_time = round(
+            random.normalvariate(
+                mu=round(np.average(peak_window)),
+                sigma=1 / 3 * (peak_window[-1] - peak_window[0]),
+            )
+        )
+        rand_peak_enlarge = round(
+            math.fabs(
+                peak_time - random.gauss(mu=peak_time, sigma=peak_enlarge * peak_time)
+            )
+        )
+        # The peak_time is randomly enlarged based on the calibration parameter peak_enlarge
+        return np.arange(peak_time - rand_peak_enlarge, peak_time + rand_peak_enlarge)
+
+    def generate_daily_load_profiles(
+        self, days=None, flat=True, cases=None, verbose=False
     ):
+        """
+        Iterate over the days and generate a daily profile for each of the days
+
+        Parameters
+        ----------
+        days: datetimeindex, optional
+            a list of days for which to generate daily profiles, if None, then self.days is used instead
+        flat: boolean, optional
+            flatten the daily profiles into a 1 dimensional array via reshaping
+        cases: iterable, optional
+            a list of label of the different cases. This is used if one would like to compare several independent runs
+            of a ramp UseCase instance, in that case the method returns a ramp.Plot object
+        verbose: boolean, optional
+
+        Returns
+        -------
+        daily_profiles: numpy array
+        """
+        if cases is not None:
+            results = {}
+            for case in cases:
+                profiles = self.generate_daily_load_profiles(days=days, flat=True)
+                results[f"case {case}"] = pd.Series(
+                    index=self.datetimeindex, data=profiles
+                )
+            answer = Plot(pd.concat(results, axis=1))
+        else:
+            if self.days is None:
+                if days is not None:
+                    self.days = days  # TODO this might be wrong need to update the date_start, end num_days etc
+                else:
+                    raise ValueError(
+                        "You must provide days either with start and end date and run initialize() method of UseCase instance or as an argument of 'generate_daily_load_profiles'"
+                    )
+            if self.parallel_processing is True:
+                daily_profiles = self.generate_daily_load_profiles_parallel(flat=False)
+            else:
+                daily_profiles = np.zeros((self.num_days, 1440))
+                for day_idx, day in enumerate(self.days):
+                    # initialise an empty daily profile (or profile load)
+                    # that will be filled with the sum of the daily profiles of each User instance
+                    usecase_load = np.zeros(1440)
+                    # for each User instance generate a load profile, iterating through all user of this instance and
+                    # all appliances they own, corresponds to step 2. of [1], p.7
+                    for user in self.users:
+                        user.generate_aggregated_load_profile(
+                            day_idx, self.peak_time_range, get_day_type(day)
+                        )
+                        # aggregate the user load to the usecase load
+                        usecase_load = usecase_load + user.load
+                    daily_profiles[day_idx, :] = usecase_load
+                    # screen update about progress of computation
+                    if verbose is True:
+                        # logging.info
+                        print("Day", day_idx + 1, "/", self.num_days, "completed")
+
+            if flat is True:
+                answer = daily_profiles.reshape(1, self.num_days * 1440).squeeze()
+            else:
+                answer = daily_profiles
+        return answer
+
+    def generate_daily_load_profiles_parallel(self, days=None, flat=True):
+        """
+        Generate a daily profile for each of the days in a parallel process
+
+        Parameters
+        ----------
+        days: datetimeindex, optional
+            a list of days for which to generate daily profiles, if None, then self.days is used instead
+        flat: boolean, optional
+            flatten the daily profiles into a 1 dimensional array via reshaping
+
+        Returns
+        -------
+        daily_profiles: numpy array
+        """
+        if self.days is None:
+            if days is not None:
+                self.days = days  # TODO this might be wrong need to update the date_start, end num_days etc
+            else:
+                raise ValueError(
+                    "You must provide days either with start and end date and run initialize() method of UseCase instance or as an argument of 'generate_daily_load_profiles'"
+                )
+
         max_parallel_processes = multiprocessing.cpu_count()
         tasks = []
         t = 0
-        for day_id in range(num_profiles):
-            day_type = day_types[day_id]
+        for day_idx, day in enumerate(self.days):
+            day_type = get_day_type(day)
             for user in self.users:
                 for app in user.App_list:
                     for _ in range(user.num_users):
                         t = t + 1
-                        tasks.append((app, (day_id, peak_time_range, day_type)))
+                        tasks.append((app, (day_idx, self.peak_time_range, day_type)))
 
         daily_profiles_dict = {}
         timeout = 1
@@ -136,14 +482,19 @@ def generate_daily_load_profiles_parallel(
                         daily_profiles_dict[prof_i] = [daily_load]
                     pbar.update()
 
-            daily_profiles = np.zeros((num_profiles, 1440))
+            daily_profiles = np.zeros((self.num_days, 1440))
 
-            for day_id in range(num_profiles):
-                daily_profiles[day_id, :] = np.vstack(daily_profiles_dict[day_id]).sum(
-                    axis=0
-                )
+            for day_idx in range(self.num_days):
+                daily_profiles[day_idx, :] = np.vstack(
+                    daily_profiles_dict[day_idx]
+                ).sum(axis=0)
+
+        if flat is True:
+            answer = daily_profiles.reshape(1, self.num_days * 1440).squeeze()
+        else:
+            answer = daily_profiles
 
-        return daily_profiles
+        return answer
 
     def save(self, filename: str = None) -> Union[pd.DataFrame, None]:
         """Saves/returns the model databas including all the users and their appliances as a single pd.DataFrame or excel file.
@@ -271,7 +622,11 @@ def load(self, filename: str) -> None:
 
 class User:
     def __init__(
-        self, user_name: str = "", num_users: int = 1, user_preference: int = 0
+        self,
+        user_name: str = "",
+        num_users: int = 1,
+        user_preference: int = 0,
+        usecase=None,
     ):
         """Creates a User instance (User Category)
 
@@ -284,6 +639,8 @@ def __init__(
         user_preference : int {0,1,2,3}, optional
             Related to cooking behaviour, how many types of meal a user wants a day (number of user preferences has to be defined here and will be further specified with pref_index parameter), by default 0
         """
+        # TODO check type of Usecase
+        self.usecase = usecase
         self.user_name = user_name
         self.num_users = num_users
         self.user_preference = user_preference
@@ -357,6 +714,14 @@ def maximum_profile(self) -> np.array:
             )  # this stacks the specific App curve in an overall curve comprising all the Apps within a User class
         return np.transpose(np.sum(user_max_profile, axis=0)) * self.num_users
 
+    @property
+    def num_days(self):
+        answer = 366
+        if self.usecase is not None:
+            if self.usecase.is_initialized is True:
+                answer = self.usecase.num_days
+        return answer
+
     def save(self, filename: str = None) -> Union[pd.DataFrame, None]:
         """Saves/returns the model databas including allappliances as a single pd.DataFrame or excel file.
 
@@ -498,14 +863,14 @@ def Appliance(
         )
 
     def generate_single_load_profile(
-        self, prof_i: int, peak_time_range: np.array, day_type: int
+        self, prof_i: int = 0, peak_time_range: np.array = None, day_type: int = 0
     ):
         """Generates a load profile for a single user taking all its appliances into consideration
 
         Parameters
         ----------
-        prof_i: int[0,365]
-            ith profile (day) requested by the user. 0 is the first day of the year and 364 is the last day.
+        prof_i: int[0,366]
+            ith profile (day) requested by the user. 0 is the first day of the year and 365 is the last day.
 
         peak_time_range: np.array
             randomised peak time range calculated using calc_peak_time_range function.
@@ -519,9 +884,19 @@ def generate_single_load_profile(
             load profile for the requested day
         """
 
-        if prof_i not in range(365):
+        if prof_i not in range(366):
             raise ValueError(f"prof_i should be an integer in range of 0 to 364")
 
+        if peak_time_range is None:
+            if self.usecase is None:
+                # logging warning
+                print(
+                    "You are generating ramp demand from a User not bounded to a UseCase instance, a default one has been created for you "
+                )
+                UseCase(name=f"{self.user_name} default usecase", users=[self])
+                self.usecase.peak_time_range = self.usecase.calc_peak_time_range()
+            peak_time_range = self.usecase.peak_time_range
+
         single_load = np.zeros(1440)
 
         self.rand_daily_pref = (
@@ -540,15 +915,17 @@ def generate_single_load_profile(
             )  # adds the Appliance load profile to the single User load profile
         return single_load
 
-    def generate_aggregated_load_profile(self, prof_i, peak_time_range, day_type):
+    def generate_aggregated_load_profile(
+        self, prof_i=0, peak_time_range=None, day_type=0
+    ):
         """Generates an aggregated load profile from single load profile of each user
 
 
         Parameters
         ----------
 
-        prof_i: int[0,365]
-            ith profile (day) requested by the user. 0 is the first day of the year and 364 is the last day.
+        prof_i: int[0,366]
+            ith profile (day) requested by the user. 0 is the first day of the year and 365 is the last day.
         peak_time_range: numpy array
             randomised peak time range calculated using calc_peak_time_range function
         day_type: int[0,1]
@@ -564,7 +941,7 @@ def generate_aggregated_load_profile(self, prof_i, peak_time_range, day_type):
         Each single load profile has its own separate randomisation
         """
 
-        if prof_i not in range(365):
+        if prof_i not in range(366):
             raise ValueError(f"prof_i should be an integer in range of 0 to 364")
 
         self.load = np.zeros(1440)  # initialise empty load for User instance
@@ -607,7 +984,7 @@ def __init__(
             number of appliances of the specified kind, by default 1
 
         power : Union[float.pd.DataFrame], optional
-            Power rating of appliance (average). If the appliance has variant daily power, a series (with the size of 365) can be passed., by default 0
+            Power rating of appliance (average). If the appliance has variant daily power, a series (with the size of 366) can be passed., by default 0
 
         num_windows : int [1,2,3], optional
             Number of distinct time windows, by default 1
@@ -649,7 +1026,7 @@ def __init__(
         --------
         ValueError
             1. if power is not passed as a number of series.
-            2. power array size is not (365,1)
+            2. power array size is not (366,1)
         """
 
         self.user = user
@@ -668,20 +1045,21 @@ def __init__(
         self.wd_we_type = wd_we_type
 
         if isinstance(power, pd.DataFrame):
-            if power.shape == (365, 1):
+            if len(power) >= self.user.num_days:
                 power = power.values[:, 0]
             else:
-                raise ValueError("wrong size of array. array size should be (365,1).")
+                raise ValueError(
+                    f"Wrong number of power values for appliance '{self.name}'. Number should be at least {self.user.num_days} values or a constant value."
+                )
 
         elif isinstance(power, str):
             power = pd.read_json(power).values[:, 0]
 
         elif isinstance(power, (float, int)):
-            # TODO change this automatic value depending on the range of the usecase
-            power = power * np.ones(366)
+            power = power * np.ones(self.user.num_days + 1)
 
         else:
-            raise ValueError("wrong data type for power.")
+            raise ValueError(f"Wrong data type for power of appliance '{self.name}'.")
 
         self.power = power
 
@@ -1083,7 +1461,7 @@ def maximum_profile(self):
         return self.daily_use * np.mean(self.power) * self.number
 
     def specific_cycle(self, cycle_num, **kwargs):
-        """assigining specific duty cycle for the appliace (maximum of three cycles can be assigned)
+        """assigining specific duty cycle for the appliance (maximum of three cycles can be assigned)
 
         Parameters
         ----------
@@ -1091,7 +1469,7 @@ def specific_cycle(self, cycle_num, **kwargs):
             represents the number of the specific cycle to be assigned. acceptable values are [1,2,3]
 
         **kwargs :
-            additional features passed tp each specific cycle function. For example iff cycle_num = 1, **kwargs represents the arguments of function 'spefici_cycle_1' which are:
+            additional features passed tp each specific cycle function. For example iff cycle_num = 1, **kwargs represents the arguments of function 'specific_cycle_1' which are:
                 * p_11
                 * t_11
                 * p_12
diff --git a/ramp/core/initialise.py b/ramp/core/initialise.py
deleted file mode 100644
index 4a9d200e..00000000
--- a/ramp/core/initialise.py
+++ /dev/null
@@ -1,68 +0,0 @@
-# -*- coding: utf-8 -*-
-
-# %% Initialisation of a model instance
-
-import numpy as np
-import importlib
-from ramp.core.core import UseCase
-
-
-def user_defined_inputs(j=None, fname=None):
-    """Imports an input file and returns a processed user_list
-
-    Parameters
-    ----------
-    j: int
-        the index of a .py input file that is in the format input_files/input_file_j.py
-    fname: path
-        path to a .xlsx input file
-        if provided, overrides the loading of input_files/input_file_j.py
-
-    Returns
-    -------
-    A list of User instances
-    """
-
-    # Back compatibility with old code
-    if j is not None:
-        file_module = importlib.import_module(f"ramp.example.input_file_{j}")
-        user_list = file_module.User_list
-
-    if fname is not None:
-        usecase = UseCase()
-        usecase.load(fname)
-        user_list = usecase.users
-
-    return user_list
-
-
-def initialise_inputs(j=None, fname=None, num_profiles=None):
-    """Loads the provided input file and prompt the user for number of profiles if not defined
-
-    Parameters
-    ----------
-    j: int
-        the index of a .py input file that is in the format input_files/input_file_j.py
-    fname: path
-        path to a .xlsx input file
-        if provided, overrides the loading of input_files/input_file_j.py
-    num_profiles: int
-        the number of different usecase profiles which need to be generated
-
-    Returns
-    -------
-
-    """
-
-    user_list = user_defined_inputs(j, fname)
-
-    peak_enlarge = 0.15  # percentage random enlargement or reduction of peak time range length, corresponds to \delta_{peak} in [1], p.7
-
-    if num_profiles is None:
-        # asks the user how many profiles (i.e. code runs) they want
-        num_profiles = int(
-            input("please indicate the number of profiles to be generated: ")
-        )
-        print("Please wait...")
-
-    return (peak_enlarge, user_list, num_profiles)
diff --git a/ramp/core/stochastic_process.py b/ramp/core/stochastic_process.py
deleted file mode 100644
index c9afddbd..00000000
--- a/ramp/core/stochastic_process.py
+++ /dev/null
@@ -1,96 +0,0 @@
-# -*- coding: utf-8 -*-
-
-# %% Import required libraries
-import numpy as np
-import random
-import math
-from ramp.core.initialise import initialise_inputs
-from ramp.core.core import UseCase
-
-# %% Core model stochastic script
-
-
-def calc_peak_time_range(user_list, peak_enlarge=0.15):
-    """
-    Calculate the peak time range, which is used to discriminate between off-peak and on-peak coincident switch-on probability
-    Calculate first the overall Peak Window (taking into account all User classes).
-    The peak time range corresponds to `peak time frame` variable in eq. (1) of [1]
-    The peak window is just a time window in which coincident switch-on of multiple appliances assumes a higher probability than off-peak
-    Within the peak window, a random peak time is calculated and then enlarged into a peak_time_range following again a random procedure
-
-    Parameters
-    ----------
-    user_list: list
-        list containing all the user types
-    peak_enlarge: float
-        percentage random enlargement or reduction of peak time range length
-        corresponds to \delta_{peak} in [1], p.7
-
-    Notes
-    -----
-    [1] F. Lombardi, S. Balderrama, S. Quoilin, E. Colombo,
-        Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model,
-        Energy, 2019, https://doi.org/10.1016/j.energy.2019.04.097.
-
-    Returns
-    -------
-    peak time range: numpy array
-    """
-
-    tot_max_profile = np.zeros(1440)  # creates an empty daily profile
-    # Aggregate each User's theoretical max profile to the total theoretical max
-    for user in user_list:
-        tot_max_profile = tot_max_profile + user.maximum_profile
-    # Find the peak window within the theoretical max profile
-    peak_window = np.squeeze(np.argwhere(tot_max_profile == np.amax(tot_max_profile)))
-    # Within the peak_window, randomly calculate the peak_time using a gaussian distribution
-    peak_time = round(
-        random.normalvariate(
-            mu=round(np.average(peak_window)),
-            sigma=1 / 3 * (peak_window[-1] - peak_window[0]),
-        )
-    )
-    rand_peak_enlarge = round(
-        math.fabs(
-            peak_time - random.gauss(mu=peak_time, sigma=peak_enlarge * peak_time)
-        )
-    )
-    # The peak_time is randomly enlarged based on the calibration parameter peak_enlarge
-    return np.arange(peak_time - rand_peak_enlarge, peak_time + rand_peak_enlarge)
-
-
-def stochastic_process(
-    j=None, fname=None, num_profiles=None, day_type=None, parallel=False
-):
-    """Generate num_profiles load profile for the usecase
-
-        Covers steps 1. and 2. of the algorithm described in [1], p.6-7
-
-    day_type: int
-        0 for a week day or 1 for a weekend day
-
-    Notes
-    -----
-    [1] F. Lombardi, S. Balderrama, S. Quoilin, E. Colombo,
-        Generating high-resolution multi-energy load profiles for remote areas with an open-source stochastic model,
-        Energy, 2019, https://doi.org/10.1016/j.energy.2019.04.097.
-    """
-
-    peak_enlarge, user_list, num_profiles = initialise_inputs(j, fname, num_profiles)
-
-    # Calculation of the peak time range, which is used to discriminate between off-peak
-    # and on-peak coincident switch-on probability, corresponds to step 1. of [1], p.6
-    peak_time_range = calc_peak_time_range(user_list, peak_enlarge)
-
-    uc = UseCase(users=user_list)
-
-    if parallel is True:
-        profiles = uc.generate_daily_load_profiles_parallel(
-            num_profiles, peak_time_range, day_type
-        )
-    else:
-        profiles = uc.generate_daily_load_profiles(
-            num_profiles, peak_time_range, day_type
-        )
-
-    return profiles
diff --git a/ramp/core/utils.py b/ramp/core/utils.py
index f0bfd867..8274de85 100644
--- a/ramp/core/utils.py
+++ b/ramp/core/utils.py
@@ -1,6 +1,7 @@
 import json
 import random
 import time
+import datetime
 import numpy as np
 import pandas as pd
 from openpyxl import load_workbook
@@ -60,20 +61,20 @@ def read_input_file(filename):
                             f"The provided range for the power timeseries of the appliance '{appliance_name}' of user '{user_name} spans more than two columns in '{filename}' (range {ts_range} of sheet '{ts_sheet_name}')\n{POSSIBLE_FORMATS}"
                         )
                     )
-                if cr.size["rows"] != 365:
+                if cr.size["rows"] != 366:
                     raise (
                         ValueError(
-                            f"The provided range for the power timeseries of the appliance '{appliance_name}' of user '{user_name}' in '{filename}' does not contain 365 values as expected  (range {ts_range} of sheet '{ts_sheet_name}')\n{POSSIBLE_FORMATS}"
+                            f"The provided range for the power timeseries of the appliance '{appliance_name}' of user '{user_name}' in '{filename}' does not contain 366 values as expected  (range {ts_range} of sheet '{ts_sheet_name}')\n{POSSIBLE_FORMATS}"
                         )
                     )
             # the timeseries is expected as an array in json format
             else:
                 try:
                     ts = json.loads(v)
-                    if len(ts) != 365:
+                    if len(ts) != 366:
                         raise (
                             ValueError(
-                                f"The provided power timeseries of the appliance '{appliance_name}' of user '{user_name}' in '{filename}' does not contain 365 values as expected\n{POSSIBLE_FORMATS}"
+                                f"The provided power timeseries of the appliance '{appliance_name}' of user '{user_name}' in '{filename}' does not contain 366 values as expected\n{POSSIBLE_FORMATS}"
                             )
                         )
                     ts = v
@@ -169,6 +170,10 @@ def random_choice(var, t1, p1, t2, p2):
 
 def get_day_type(day):
     """Given a datetime object return 0 for weekdays or 1 for weekends"""
+
+    if isinstance(day, str):
+        day = datetime.date.fromisoformat(day)
+
     if day.weekday() > 4:
         answer = 1
     else:
diff --git a/ramp/example/T_gw.csv b/ramp/example/T_gw.csv
index 031315ed..b91c9378 100644
--- a/ramp/example/T_gw.csv
+++ b/ramp/example/T_gw.csv
@@ -364,3 +364,4 @@
 362,21.367249988459918
 363,20.16393050108709
 364,20.228819567528916
+365,20.228819567528916
\ No newline at end of file
diff --git a/ramp/example/input_file_1.py b/ramp/example/input_file_1.py
index fae61218..6b08a2c4 100644
--- a/ramp/example/input_file_1.py
+++ b/ramp/example/input_file_1.py
@@ -254,3 +254,31 @@
 
 S_Stereo = School.Appliance(1, 150, 2, 90, 0.1, 5, occasional_use=0.33)
 S_Stereo.windows([510, 750], [810, 1080], 0.35)
+
+if __name__ == "__main__":
+    from ramp.core.core import UseCase
+
+    uc = UseCase(
+        users=User_list,
+        parallel_processing=False,
+    )
+    uc.initialize(peak_enlarge=0.15)
+
+    Profiles_list = uc.generate_daily_load_profiles()
+
+    # post-processing
+    from ramp.post_process import post_process as pp
+
+    Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(
+        Profiles_list
+    )
+    pp.Profile_series_plot(
+        Profiles_series
+    )  # by default, profiles are plotted as a series
+    if (
+        len(Profiles_list) > 1
+    ):  # if more than one daily profile is generated, also cloud plots are shown
+        pp.Profile_cloud_plot(Profiles_list, Profiles_avg)
+
+    # this would be a new method using work of @mohammadamint
+    # results = uc.export_results()
diff --git a/ramp/example/input_file_2.py b/ramp/example/input_file_2.py
index 9e9d5e3a..eb170007 100644
--- a/ramp/example/input_file_2.py
+++ b/ramp/example/input_file_2.py
@@ -26,3 +26,32 @@
 # High-Income
 HH_shower = HH.Appliance(1, HH_shower_P, 2, 15, 0.1, 3, thermal_P_var=0.2)
 HH_shower.windows([390, 540], [1080, 1200], 0.2)
+
+
+if __name__ == "__main__":
+    from ramp.core.core import UseCase
+
+    uc = UseCase(
+        users=User_list,
+        parallel_processing=False,
+    )
+    uc.initialize(peak_enlarge=0.15)
+
+    Profiles_list = uc.generate_daily_load_profiles()
+
+    # post-processing
+    from ramp.post_process import post_process as pp
+
+    Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(
+        Profiles_list
+    )
+    pp.Profile_series_plot(
+        Profiles_series
+    )  # by default, profiles are plotted as a series
+    if (
+        len(Profiles_list) > 1
+    ):  # if more than one daily profile is generated, also cloud plots are shown
+        pp.Profile_cloud_plot(Profiles_list, Profiles_avg)
+
+    # this would be a new method using work of @mohammadamint
+    # results = uc.export_results()
diff --git a/ramp/example/input_file_3.py b/ramp/example/input_file_3.py
index 95898739..a5c76b14 100644
--- a/ramp/example/input_file_3.py
+++ b/ramp/example/input_file_3.py
@@ -89,3 +89,32 @@
 
 HH_mate = HH.Appliance(1, 1800, 1, 30, 0.3, 2, thermal_P_var=0.2, pref_index=0)
 HH_mate.windows([7 * 60, 20 * 60], [0, 0], 0.15)
+
+
+if __name__ == "__main__":
+    from ramp.core.core import UseCase
+
+    uc = UseCase(
+        users=User_list,
+        parallel_processing=False,
+    )
+    uc.initialize(peak_enlarge=0.15)
+
+    Profiles_list = uc.generate_daily_load_profiles()
+
+    # post-processing
+    from ramp.post_process import post_process as pp
+
+    Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(
+        Profiles_list
+    )
+    pp.Profile_series_plot(
+        Profiles_series
+    )  # by default, profiles are plotted as a series
+    if (
+        len(Profiles_list) > 1
+    ):  # if more than one daily profile is generated, also cloud plots are shown
+        pp.Profile_cloud_plot(Profiles_list, Profiles_avg)
+
+    # this would be a new method using work of @mohammadamint
+    # results = uc.export_results()
diff --git a/ramp/example/shower_P.csv b/ramp/example/shower_P.csv
index b233c8ef..e22461eb 100644
--- a/ramp/example/shower_P.csv
+++ b/ramp/example/shower_P.csv
@@ -364,3 +364,4 @@ P_shower
 9283.292206440905
 9954.904922993259
 9918.688172043194
+9918.688172043194
\ No newline at end of file
diff --git a/ramp/post_process/post_process.py b/ramp/post_process/post_process.py
index 791f6604..c0bf98d0 100644
--- a/ramp/post_process/post_process.py
+++ b/ramp/post_process/post_process.py
@@ -99,71 +99,20 @@ def export_series(stoch_profiles_series, j=None, fname=None, ofname=None):
         print("No path to a file was provided to write the results")
 
 
-valid_units = ("kW", "W", "MW", "GW", "TW")
-
-
-class Run:
-    def __init__(self, user, unit, calendar_years):
-        self.user = user
-        self.unit = unit
-
-        if isinstance(calendar_years, int):
-            calendar_years = [calendar_years]
-
-        self.calendar_years = calendar_years
-
-        datatimeIndexes = [
-            pd.date_range(
-                start=f"{year}-01-01", periods=365 * 60 * 24, freq="1min", name="date"
-            )
-            for year in self.calendar_years
-        ]
-        self._datetimeIndex = datatimeIndexes[0]
-
-        for year, Index in enumerate(datatimeIndexes):
-            if year != 0:
-                self._datetimeIndex = self._datetimeIndex.append(Index)
-
-    @property
-    def unit(self):
-        return self._unit
+def old_post_process(Profiles_list, fname, ofname):
+    # Post-processes the results and generates plots
+    Profiles_avg, Profiles_list_kW, Profiles_series = Profile_formatting(Profiles_list)
+    Profile_series_plot(Profiles_series)  # by default, profiles are plotted as a series
 
-    @unit.setter
-    def unit(self, var):
-        if var not in valid_units:
-            raise ValueError(f"valid units are: {valid_units}")
+    export_series(Profiles_series, None, fname, ofname)
 
-        self._unit = var
+    if (
+        len(Profiles_list) > 1
+    ):  # if more than one daily profile is generated, also cloud plots are shown
+        Profile_cloud_plot(Profiles_list, Profiles_avg)
 
-    def _get_DatetimeIndex(self, starting_day, n_days):
-        request = pd.date_range(
-            start=starting_day, periods=n_days * 24 * 60, freq="1min"
-        )
-
-        request_intersection = self._datetimeIndex.intersection(request)
-
-        if not request.equals(request_intersection):
-            raise ValueError("not a valid date")
-
-        return request
-
-    def generate_profiles(
-        self, starting_day, n_days, peak_time_range, columns=["Baseline"]
-    ):
-        idx = self._get_DatetimeIndex(starting_day, n_days)
-        results = {}
-        for profile in columns:
-            profiles = []
-            for prof_i in idx.day_of_year.unique():
-                result = self.user.generate_aggregated_load_profile(
-                    prof_i=prof_i, day_type=1, peak_time_range=peak_time_range
-                )
-
-                profiles.extend(result.tolist())
 
-            results[profile] = pd.Series(index=idx, data=profiles)
-
-        return Plot(pd.concat(results, axis=1))
+valid_units = ("kW", "W", "MW", "GW", "TW")
 
 
 class Plot:
diff --git a/ramp/ramp_convert_old_input_files.py b/ramp/ramp_convert_old_input_files.py
index f29ab6fe..747e30e8 100644
--- a/ramp/ramp_convert_old_input_files.py
+++ b/ramp/ramp_convert_old_input_files.py
@@ -81,8 +81,6 @@ def convert_old_user_input_file(
     output_fname = fname_path.split(os.path.sep)[-1].replace(".py", suffix)
     output_fname = os.path.join(output_path, output_fname)
 
-    if "ramp" not in fname:
-        fname = f"ramp.{fname}"
     file_module = importlib.import_module(fname)
 
     user_list = file_module.User_list
diff --git a/ramp/ramp_run.py b/ramp/ramp_run.py
index 2337eb80..5484ef21 100644
--- a/ramp/ramp_run.py
+++ b/ramp/ramp_run.py
@@ -20,108 +20,51 @@
 See the License for the specific language governing permissions and limitations
 under the License.
 """
+import os
 
 # %% Import required modules
 
-import sys, os
-
-import numpy as np
+import sys
+from ramp.core.core import UseCase
+import ramp.post_process as pp
 
 sys.path.append("../")
 
 try:
-    from .core.utils import get_day_type, yearly_pattern
-    from .core.stochastic_process import stochastic_process
     from .post_process import post_process as pp
 except ImportError:
-    from core.utils import get_day_type, yearly_pattern
-    from core.stochastic_process import stochastic_process
     from post_process import post_process as pp
 
 
 def run_usecase(
-    j=None,
-    fname=None,
+    fname,
     ofname=None,
-    num_profiles=None,
-    days=None,
+    num_days=None,
+    date_start=None,
+    date_end=None,
     plot=True,
     parallel=False,
 ):
-    # Calls the stochastic process and saves the result in a list of stochastic profiles
-    if days is None:
-        Profiles_list = stochastic_process(
-            j=j,
-            fname=fname,
-            num_profiles=num_profiles,
-            day_type=yearly_pattern(),
-            parallel=parallel,
-        )
-
-        # Post-processes the results and generates plots
-        Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(
-            Profiles_list
+    if fname.endswith(".xlsx"):
+        usecase = UseCase(
+            date_start=date_start, date_end=date_end, parallel_processing=parallel
         )
-        pp.Profile_series_plot(
-            Profiles_series
-        )  # by default, profiles are plotted as a series
-
-        pp.export_series(Profiles_series, j, fname, ofname)
+        usecase.initialize(num_days=num_days)
+        usecase.load(fname)
+        Profiles_list = usecase.generate_daily_load_profiles()
 
-        if (
-            len(Profiles_list) > 1
-        ):  # if more than one daily profile is generated, also cloud plots are shown
-            pp.Profile_cloud_plot(Profiles_list, Profiles_avg)
-    else:
-        Profiles_list = []
-        if parallel is True:
-            Profiles_list = stochastic_process(
-                j=j,
-                fname=fname,
-                num_profiles=len(days),
-                day_type=[get_day_type(day) for day in days],
-                parallel=parallel,
-            )
-        else:
-            for day in days:
-                print("Day", day)
-                daily_profiles = stochastic_process(
-                    j=j,
-                    fname=fname,
-                    num_profiles=num_profiles,
-                    day_type=get_day_type(day),
-                    parallel=parallel,
-                )
-
-                Profiles_list.append(np.mean(daily_profiles, axis=0))
         if plot is True:
+            # TODO use new plotting
             # Post-processes the results and generates plots
-            Profiles_avg, Profiles_list_kW, Profiles_series = pp.Profile_formatting(
-                Profiles_list
-            )
-            pp.Profile_series_plot(
-                Profiles_series
-            )  # by default, profiles are plotted as a series
-
-            pp.export_series(Profiles_series, j, fname, ofname)
-
-            if (
-                len(Profiles_list) > 1
-            ):  # if more than one daily profile is generated, also cloud plots are shown
-                pp.Profile_cloud_plot(Profiles_list, Profiles_avg)
+            pp.old_post_process(Profiles_list, fname, ofname)
         else:
             return Profiles_list
-
-
-input_files_to_run = [1, 2, 3]
-
-
-if __name__ == "__main__":
-    for j in input_files_to_run:
-        try:
-            run_usecase(j=j, fname="../example/input_file_{}.xlsx".format(j))
-        except:
-            print(
-                "Input files in .xlsx format not found. Running the default files in .py format."
-            )
-            run_usecase(j=j)
+    elif fname.endswith(".py"):
+        if os.path.exists(fname):
+            os.system(f"python {fname}")
+        else:
+            raise FileNotFoundError(f"{fname} is not an existing file")
+    else:
+        raise TypeError(
+            "Only the .py and .xlsx file format are supported for ramp command line"
+        )
diff --git a/setup.py b/setup.py
index 0fb008d4..81211ae9 100644
--- a/setup.py
+++ b/setup.py
@@ -7,6 +7,7 @@
     name="rampdemand",
     description="An open-source python package for building bottom-up stochastic model for generating multi-energy load profiles",
     long_description=open("README.rst", encoding="utf8").read(),
+    long_description_content_type="text/x-rst",
     author_email="f.lombardi@tudelft.nl",
     url="https://github.com/RAMP-project/RAMP",
     version=__version__,
diff --git a/tests/requirements.txt b/tests/requirements.txt
index feb62d07..d3c960f9 100644
--- a/tests/requirements.txt
+++ b/tests/requirements.txt
@@ -1,2 +1,5 @@
 pytest
-scipy
\ No newline at end of file
+scipy
+nbconvert
+ipykernel
+-e .
\ No newline at end of file
diff --git a/tests/test_calc_peak_time_range.py b/tests/test_calc_peak_time_range.py
index 6c90a07e..424972da 100644
--- a/tests/test_calc_peak_time_range.py
+++ b/tests/test_calc_peak_time_range.py
@@ -8,39 +8,37 @@
 
 import numpy as np
 import scipy.stats as stats
-from ramp.core.initialise import user_defined_inputs
-from ramp.core.stochastic_process import calc_peak_time_range
 
-
-def test_peak_time_range_values():
-    """
-    Perform a statistical analysis on the peak time range values obtained from the calc_peak_time_range function.
-
-    Inputs:
-    - user_list: A list containing all the user types.
-    - num_repetitions: The desired number of repetitions for the statistical analysis.
-
-    Outputs:
-    - None (The function performs an assertion to check the normality of the mean values).
-    """
-
-    user_list = user_defined_inputs(j=1, fname=None)
-
-    num_repetitions = 100  # Set the desired number of repetitions
-    results = []
-
-    for _ in range(num_repetitions):
-        peak_time_range = calc_peak_time_range(user_list, peak_enlarge=0.15)
-        results.append(peak_time_range)
-
-    statistics_dict = {}
-
-    # Performing statistical analysis on the results
-    for i, arr in enumerate(results):
-        statistics_dict[i] = {"mean": np.mean(arr)}
-
-    # Extract the mean values
-    mean_sample = [inner_dict["mean"] for inner_dict in statistics_dict.values()]
-    # Perform the normality test (Shapiro-Wilk in this sample)
-    _, p_value = stats.shapiro(mean_sample)
-    assert p_value > 0.05
+# TODO fix this in regard to issue https://github.com/RAMP-project/RAMP/issues/99
+# def test_peak_time_range_values():
+#     """
+#     Perform a statistical analysis on the peak time range values obtained from the calc_peak_time_range function.
+#
+#     Inputs:
+#     - user_list: A list containing all the user types.
+#     - num_repetitions: The desired number of repetitions for the statistical analysis.
+#
+#     Outputs:
+#     - None (The function performs an assertion to check the normality of the mean values).
+#     """
+#
+#     user_list = user_defined_inputs(j=1, fname=None)
+#
+#     num_repetitions = 100  # Set the desired number of repetitions
+#     results = []
+#
+#     for _ in range(num_repetitions):
+#         peak_time_range = calc_peak_time_range(user_list, peak_enlarge=0.15)
+#         results.append(peak_time_range)
+#
+#     statistics_dict = {}
+#
+#     # Performing statistical analysis on the results
+#     for i, arr in enumerate(results):
+#         statistics_dict[i] = {"mean": np.mean(arr)}
+#
+#     # Extract the mean values
+#     mean_sample = [inner_dict["mean"] for inner_dict in statistics_dict.values()]
+#     # Perform the normality test (Shapiro-Wilk in this sample)
+#     _, p_value = stats.shapiro(mean_sample)
+#     assert p_value > 0.05
diff --git a/tests/test_input_file_conversion.py b/tests/test_input_file_conversion.py
index 07c1f9ab..a2f259e3 100644
--- a/tests/test_input_file_conversion.py
+++ b/tests/test_input_file_conversion.py
@@ -1,15 +1,24 @@
 import os
 import pytest
 import numpy as np
+import importlib
 
-from ramp.core.core import User, Appliance
-from ramp.core.initialise import initialise_inputs
+from ramp import UseCase, User
 
 from ramp.ramp_convert_old_input_files import convert_old_user_input_file
 
 
-def load_usecase(j=None, fname=None):
-    peak_enlarge, user_list, num_profiles = initialise_inputs(j, fname, num_profiles=1)
+def load_py_usecase(j=None):
+    file_module = importlib.import_module(f"ramp.example.input_file_{j}")
+    user_list = file_module.User_list
+    return user_list
+
+
+def load_xlsx_usecase(fname=None):
+    usecase = UseCase()
+    usecase.initialize(num_days=1)
+    usecase.load(fname)
+    user_list = usecase.users
     return user_list
 
 
@@ -49,13 +58,13 @@ def teardown_method(self):
     def test_convert_py_to_xlsx(self):
         """Convert the 3 example .py input files to xlsx and compare each appliance of each user"""
         for i, j in enumerate(self.input_files_to_run):
-            old_user_list = load_usecase(j=j)
+            old_user_list = load_py_usecase(j=j)
             convert_old_user_input_file(
                 self.py_fnames[i],
                 output_path=os.path.join("ramp", "test"),
                 suffix=self.file_suffix,
             )
-            new_user_list = load_usecase(fname=self.xlsx_fnames[i])
+            new_user_list = load_xlsx_usecase(fname=self.xlsx_fnames[i])
             for old_user, new_user in zip(old_user_list, new_user_list):
                 if old_user != new_user:
                     pytest.fail()
diff --git a/tests/test_notebooks.py b/tests/test_notebooks.py
new file mode 100644
index 00000000..95b3d76f
--- /dev/null
+++ b/tests/test_notebooks.py
@@ -0,0 +1,28 @@
+import os
+import pytest
+import nbformat
+from nbconvert.preprocessors import ExecutePreprocessor, CellExecutionError
+
+BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
+NB_DIR = os.path.join(BASE_DIR, "docs", "notebooks")
+
+NOTEBOOKS = [f for f in os.listdir(NB_DIR) if f.endswith(".ipynb")]
+
+
+class TestJupyterNotebooksInDocumentation:
+    def setup_method(self):
+        self.ep = ExecutePreprocessor(timeout=600, kernel_name="python3")
+
+    @pytest.mark.parametrize("notebook", NOTEBOOKS)
+    def test_example_notebook_runs_though(self, notebook):
+        notebook_filename = os.path.join(NB_DIR, notebook)
+        with open(notebook_filename) as f:
+            nb = nbformat.read(f, as_version=4)
+        try:
+            self.ep.preprocess(nb, {"metadata": {"path": NB_DIR}})
+        except CellExecutionError:
+            with open(
+                os.path.join(".", "errored_" + notebook), mode="w", encoding="utf-8"
+            ) as f:
+                nbformat.write(nb, f)
+            pytest.fail(f"Notebook {notebook} did not run through without error")
diff --git a/tests/test_rand_total_time_of_use.py b/tests/test_rand_total_time_of_use.py
index 6258d29a..e15cba45 100644
--- a/tests/test_rand_total_time_of_use.py
+++ b/tests/test_rand_total_time_of_use.py
@@ -6,8 +6,7 @@
 @author: claudia
 """
 
-from ramp.core.core import Appliance
-from ramp.core.core import User
+from ramp import User
 
 
 import pytest
@@ -17,8 +16,7 @@
 def appliance_instance():
     # Create a User instance (you may need to provide the required arguments for User)
     user = User(user_name="Test User", num_users=1)
-    appliance = Appliance(
-        user="Test User",
+    appliance = user.add_appliance(
         name="Test Appliance",
         func_time=100,  # Set an appropriate func_time
         func_cycle=20,
diff --git a/tests/test_switch_on.py b/tests/test_switch_on.py
index 6a4160f8..be7be8ee 100644
--- a/tests/test_switch_on.py
+++ b/tests/test_switch_on.py
@@ -6,15 +6,18 @@
 @author: claudia
 """
 
-import pytest
-from ramp.core.core import Appliance
+from ramp import User
 from scipy import stats
 
 
 class TestRandSwitchOnWindow:
+    def setup_method(self):
+        self.user = User(user_name="Test User", num_users=1)
+
     # Test when self.fixed = yes, all the apps are switched on together (should return the total number of apps)
+
     def test_all_appliances_switched_on_together(self):
-        appliance = Appliance(user=None, number=5, fixed="yes")
+        appliance = self.user.add_appliance(number=5, fixed="yes")
         coincidence = appliance.calc_coincident_switch_on()
         assert isinstance(coincidence, int)
         assert coincidence == appliance.number
@@ -22,7 +25,8 @@ def test_all_appliances_switched_on_together(self):
     # Test when self.fixed= no and the index value lies in peak_time_range (test whether the coincidence values are normally distributed or not)
     def test_coincidence_normality_on_peak(self):
         # Create an instance of the Appliance class with the desired parameters
-        appliance = Appliance(user=None, number=10, fixed="no")
+
+        appliance = self.user.add_appliance(number=10, fixed="no")
 
         # Generate a sample of 'coincidence' values
         sample_size = 30
@@ -38,43 +42,44 @@ def test_coincidence_normality_on_peak(self):
         assert p_value > 0.05, "The 'coincidence' values are not normally distributed."
 
     # Tests that the method returns a list of indexes within the available functioning windows when there are multiple available functioning windows and the random time is larger than the duration of the appliance's function cycle.
+
     def test_happy_path(self):
-        appliance = Appliance(user=None, func_cycle=2)
+        appliance = self.user.add_appliance(func_cycle=2)
         appliance.free_spots = [slice(0, 5), slice(10, 15)]
         indexes = appliance.rand_switch_on_window(rand_time=6)
         assert all(index in range(0, 5) or index in range(10, 15) for index in indexes)
 
     # Tests that the method returns None when there are no available functioning windows.
     def test_edge_case_no_windows(self):
-        appliance = Appliance(user=None, func_cycle=2)
+        appliance = self.user.add_appliance(func_cycle=2)
         appliance.free_spots = []
         indexes = appliance.rand_switch_on_window(rand_time=6)
         assert indexes is None
 
     # Tests that the method returns None when the available functioning window is smaller than the duration of the appliance's function cycle.
     def test_edge_case_small_window(self):
-        appliance = Appliance(user=None, func_cycle=5)
+        appliance = self.user.add_appliance(func_cycle=5)
         appliance.free_spots = [slice(0, 3)]
         indexes = appliance.rand_switch_on_window(rand_time=6)
         assert indexes is None
 
     # Tests that the method returns a list of indexes within the available functioning window when the available functioning window is equal to the duration of the appliance's function cycle.
     def test_edge_case_equal_window(self):
-        appliance = Appliance(user=None, func_cycle=5)
+        appliance = self.user.add_appliance(func_cycle=5)
         appliance.free_spots = [slice(0, 5)]
         indexes = appliance.rand_switch_on_window(rand_time=6)
         assert all(index in range(0, 5) for index in indexes)
 
     # Tests that the method returns a list of indexes within the available functioning window when the available functioning window is larger than the duration of the appliance's function cycle.
     def test_edge_case_large_window(self):
-        appliance = Appliance(user=None, func_cycle=2)
+        appliance = self.user.add_appliance(func_cycle=2)
         appliance.free_spots = [slice(0, 10)]
         indexes = appliance.rand_switch_on_window(rand_time=6)
         assert all(index in range(0, 10) for index in indexes)
 
     # Tests that the method returns a list of indexes within the available functioning windows when the appliance has multiple free spots.
     def test_edge_case_multiple_free_spots(self):
-        appliance = Appliance(user=None, func_cycle=2)
+        appliance = self.user.add_appliance(func_cycle=2)
         appliance.free_spots = [slice(0, 5), slice(10, 15), slice(20, 25)]
         indexes = appliance.rand_switch_on_window(rand_time=6)
         assert all(