From aad51c693921db1f87e3855ce5087fc8180076ff Mon Sep 17 00:00:00 2001
From: Micah Sandusky <micc5725@gmail.com>
Date: Mon, 17 Jun 2024 15:48:16 -0600
Subject: [PATCH 01/21] add database tutorial

---
 .../1_getting_started_example.ipynb           | 236 +++++++++++++++
 .../2_database_structure.ipynb                | 201 +++++++++++++
 .../snowex_database/3_forming_queries.ipynb   | 233 ++++++++++++++
 .../4_get_spiral_example.ipynb                | 194 ++++++++++++
 .../5_plot_raster_example.ipynb               | 284 ++++++++++++++++++
 .../snowex_database/6_exporting_data.ipynb    | 129 ++++++++
 .../snowex_database/7_bonus_challenge.ipynb   | 222 ++++++++++++++
 .../tutorials/snowex_database/8_wrap_up.ipynb |  56 ++++
 book/tutorials/snowex_database/index.md       |   4 +
 9 files changed, 1559 insertions(+)
 create mode 100644 book/tutorials/snowex_database/1_getting_started_example.ipynb
 create mode 100644 book/tutorials/snowex_database/2_database_structure.ipynb
 create mode 100644 book/tutorials/snowex_database/3_forming_queries.ipynb
 create mode 100644 book/tutorials/snowex_database/4_get_spiral_example.ipynb
 create mode 100644 book/tutorials/snowex_database/5_plot_raster_example.ipynb
 create mode 100644 book/tutorials/snowex_database/6_exporting_data.ipynb
 create mode 100644 book/tutorials/snowex_database/7_bonus_challenge.ipynb
 create mode 100644 book/tutorials/snowex_database/8_wrap_up.ipynb
 create mode 100644 book/tutorials/snowex_database/index.md

diff --git a/book/tutorials/snowex_database/1_getting_started_example.ipynb b/book/tutorials/snowex_database/1_getting_started_example.ipynb
new file mode 100644
index 0000000..fe2ecb9
--- /dev/null
+++ b/book/tutorials/snowex_database/1_getting_started_example.ipynb
@@ -0,0 +1,236 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction to the SnowEx Database "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "## What we're gonna attempt to cover\n",
+    "* Introduction \n",
+    "* Database Structure/ Contents \n",
+    "* Forming Useful Queries \n",
+    "* Examples \n",
+    "* Exporting Data \n",
+    "* QGIS setup \n",
+    "\n",
+    "## Why a database?\n",
+    "> *<span style=\"font-size:12pt;\">\"Dude, I am into pits not bits. What gives?!\"</span>*\n",
+    "\n",
+    "- Standardizing diverse datasets\n",
+    "- Cross referencing data\n",
+    "- Enables GIS functionality\n",
+    "- Ready for use in your code\n",
+    "- Provenance!\n",
+    "- Ready for use in a GIS software like ArcGIS or QGIS!\n",
+    "\n",
+    "### TL;DR Do less wrangling, do more crunching. \n",
+    "\n",
+    "\n",
+    "## What is it exactly?\n",
+    "\n",
+    "* PostgreSQL database\n",
+    "* PostGIS extension\n",
+    "* Supports vector and raster data\n",
+    "* And a host of GIS operations\n",
+    "\n",
+    "## What's in it?\n",
+    "\n",
+    "**note:**`Data extent is limited to Grand Mesa and in EPSG:26912 for Hackweek!`\n",
+    "\n",
+    "* Snow pits - Density, hardness profiles, grain types + sizes\n",
+    "* Manual snow depths - TONS of depths, Can you say spirals?\n",
+    "* Snow Micropenetrometer profiles - (Subsampled to every 100th)\n",
+    "* Snow depth + SWE rasters from ASO inc\n",
+    "* GPR\n",
+    "* Pit site notes\n",
+    "* Camera Derived snow depths\n",
+    "* Snow off DEM from USGS 3DEP \n",
+    "* And almost all the associated metadata\n",
+    "\n",
+    "**All this and more is easily indexed, cross referencable, and put into GIS ready formats!**\n",
+    "\n",
+    "![](https://snowexsql.readthedocs.io/en/latest/_images/gallery_overview_example_12_0.png)\n",
+    "\n",
+    "\n",
+    "## How do I get at this magical box of data?\n",
+    "\n",
+    "* [SQL](https://www.postgresql.org/docs/13/tutorial-sql.html) \n",
+    "* [snowexsql](https://github.com/SnowEx/snowexsql/) <span style=\"font-size:20pt;\"> **&#8592;**</span>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the connection function from the snowexsql library\n",
+    "from snowexsql.db import get_db\n",
+    "\n",
+    "# This is what you will use for all of hackweek to access the db\n",
+    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'\n",
+    "\n",
+    "# Using the function get_db, we receive 2 ways to interact with the database\n",
+    "engine, session = get_db(db_name)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 1. Using the Engine Object\n",
+    "The `engine` object returned from the `get_db` function is not used much in the snowexsql library. It does allow you to use typical SQL \n",
+    "strings to interact with the database. \n",
+    "\n",
+    "**Note**: Users who have used python + SQL before will likely be more familiar with this approach. Additionally those who don't know python but know SQL will also be more comfortable here.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Form a typical SQL query and use python to populate the table name\n",
+    "qry = \"SELECT DISTINCT site_id FROM sites\"\n",
+    "\n",
+    "# Then we execute the sql command and collect the results\n",
+    "results = engine.execute(qry)\n",
+    "\n",
+    "# Create a nice readable string to print the site names using python \n",
+    "out = ', '.join((row['site_id'] for row in results))\n",
+    "\n",
+    "# Print it with a line return for readability\n",
+    "print(out + '\\n')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 2. Using the Session Object\n",
+    "The session object allows a user to interact with the database in a pure python form. This approach is called Object Relational Mapping (ORM)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the table classes from our data module which is where our ORM classes are defined \n",
+    "from  snowexsql.data import SiteData\n",
+    "\n",
+    "# Form the query to receive all the site_id from the sites table\n",
+    "qry = session.query(SiteData.site_id).distinct()\n",
+    "\n",
+    "# Execute the query and collect the results\n",
+    "results = qry.all()\n",
+    "\n",
+    "# Print it with a line return for readability\n",
+    "print(', '.join([row[0] for row in list(results)]))\n",
+    "\n",
+    "# Close your session to avoid hanging transactions\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Crash Course in Object Relational Mapping (ORM)\n",
+    "\n",
+    "**Question**: How is a database used in pure python?!...Are you down with the O.O.P? The answer is as a Class where each column is mapped to that class as an attribute e.g. obj.attribute AND... in the correct type for python!\n",
+    "\n",
+    "Consider the following table:\n",
+    "\n",
+    "\n",
+    "| id  | site_id | ground_roughness |\n",
+    "| ----|---------| -----------------|\n",
+    "| 0   | GML     |        rough     | \n",
+    "| 1   | 2S27    |        smooth    | \n",
+    "| 2   | 3S52    |        smooth    | \n",
+    "\n",
+    "\n",
+    "In our python repo we have a made up class `SiteData` defined to map to this table.\n",
+    "\n",
+    "``` python \n",
+    "     \n",
+    "    from snowexsql.data import SiteData\n",
+    "    \n",
+    "```    \n",
+    "\n",
+    "| id           | site_id          | ground_roughness          |\n",
+    "| -------------|------------------| --------------------------|\n",
+    "| SiteData.id  | SiteData.site_id | SiteData.ground_roughness | \n",
+    "| SiteData.id  | SiteData.site_id | SiteData.ground_roughness | \n",
+    "| SiteData.id  | SiteData.site_id | SiteData.ground_roughness | \n",
+    "\n",
+    "\n",
+    "If we queried the whole table above using the session object we would get back 3 Sitedata objects in a list. 1 for each row.   \n",
+    "\n",
+    "``` console\n",
+    "[<snowexsql.data.SiteData object at 0x7fcf0f9bea90>, <snowexsql.data.SiteData object at 0x7fcf0f9bec70>, <snowexsql.data.SiteData object at 0x7fcf0f9bed00>]\n",
+    "```\n",
+    "\n",
+    "\n",
+    "This at first doesn't seem useful until you start to use the objects.\n",
+    "\n",
+    "``` python \n",
+    "\n",
+    "print(my_queried_data[0].ground_roughness)\n",
+    "```\n",
+    "\n",
+    "``` console\n",
+    "rough\n",
+    "```\n",
+    "\n",
+    "**Question**\n",
+    "\n",
+    "* How would you access from our list the `site_id` of the 2nd row?\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Recap\n",
+    "\n",
+    "You just:\n",
+    "\n",
+    "* Accessed a geodatabase using python \n",
+    "* Saw two methods for interacting with the db using the snowexsql library\n",
+    "* Pulled all the unique pit site id numbers from the db \n",
+    "* Had a high level intro to ORM"
+   ]
+  }
+ ],
+ "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": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
new file mode 100644
index 0000000..48d5420
--- /dev/null
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -0,0 +1,201 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "dangerous-decrease",
+   "metadata": {},
+   "source": [
+    "# How is the Database Structured?\n",
+    "\n",
+    "The goal of the database is to hold as much of the SnowEx data in one place and make it easier to \n",
+    "do research with. With that in mind follow the steps below to see how the the data base is structured.\n",
+    "\n",
+    "\n",
+    "## What were about to do\n",
+    "\n",
+    "1. Access the database using the snowexsql python library \n",
+    "2. Query the database to see the underlying tables\n",
+    "3. Query each table to see what columns are available\n",
+    "4. Query to see what datasets are available\n",
+    "\n",
+    "## Process\n",
+    "\n",
+    "### Step 1: Get a database session"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "artistic-thought",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the connection function from the snowexsql library\n",
+    "from snowexsql.db import get_db\n",
+    "\n",
+    "# This is what you will use for all of hackweek to access the db\n",
+    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'\n",
+    "\n",
+    "# Using the function get_db, we receive 2 ways to interact with the database\n",
+    "engine, session = get_db(db_name)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "intensive-tracy",
+   "metadata": {},
+   "source": [
+    "### Step 2: Query the DB to see what tables are available"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "random-healthcare",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Output the list of tables in the database \n",
+    "engine.table_names()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "varying-anime",
+   "metadata": {},
+   "source": [
+    "We can also import classes that reflect these tables in python!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "imposed-thomson",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from snowexsql.data import LayerData, PointData, ImageData, SiteData"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "liberal-binary",
+   "metadata": {},
+   "source": [
+    "### Step 3: Query a Table to see what columns you can use!\n",
+    "\n",
+    "In our python library [snowexsql](https://github.com/SnowEx/snowexsql/) there are classes that reflect the database tables. This makes it easier to use in python.\n",
+    "For google purposes this is also called Object Relational Mapping (ORM). \n",
+    "\n",
+    "Import the table class from [`snowexsql.data`](https://snowexsql.readthedocs.io/en/latest/snowexsql.html#module-snowexsql.data) and [`snowexsql.db.get_table_attributes`](https://snowexsql.readthedocs.io/en/latest/snowexsql.html#snowexsql.db.get_table_attributes). The use `get_table_attributes` to see what\n",
+    "columns are in each table!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "operational-province",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the class reflecting the points table in the db\n",
+    "from snowexsql.data import PointData\n",
+    "\n",
+    "# Import the function to investigate a table\n",
+    "from snowexsql.db import get_table_attributes\n",
+    "\n",
+    "# Use the function to see what columns are available to use. \n",
+    "db_columns = get_table_attributes(PointData)\n",
+    "\n",
+    "# Print out the results nicely\n",
+    "print(\"These are the available columns in the table:\\n \\n* {}\\n\".format('\\n* '.join(db_columns)))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fatal-collection",
+   "metadata": {},
+   "source": [
+    "**Try this:** Using what we just did, use `get_table_attributes` to look at the other tables.\n",
+    "\n",
+    "**Hint**: You have to change the table class name in two places in the above code block.\n",
+    "\n",
+    "## Discussion: What's the difference in these tables?\n",
+    "\n",
+    "If working by yourself checkout the readthedocs page on [database structure](https://snowexsql.readthedocs.io/en/latest/database_structure.html) to see how data gets categorized. \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92bfaa6c-d489-4abc-a485-757cb914358a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Close out the session to avoid hanging transactions\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "immune-symphony",
+   "metadata": {},
+   "source": [
+    "## Bonus Step: Learning to help yourself\n",
+    "[snowexsql](https://github.com/SnowEx/snowexsql/) has a host of resources for you to  help your self. First when you are looking for something be sure to check the snowexsql's docs.\n",
+    "There you will find notes on the database structure. datasets, and of course our API! \n",
+    "\n",
+    "### Database Usage/Examples\n",
+    "* [snowexsql Code](https://github.com/SnowEx/snowexsql/) \n",
+    "* [snowexsql Documentation](https://snowexsql.readthedocs.io/en/latest/) \n",
+    "\n",
+    "### Database Building/Notes\n",
+    "* [snowex_db Code](https://github.com/SnowEx/snowex_db/) \n",
+    "* [snowex_db Documentation](https://snowex_db.readthedocs.io/en/latest/) \n",
+    "\n",
+    "### Extra Resources\n",
+    "* [PostGIS Functions](https://postgis.net/docs/manual-3.0/PostGIS_Special_Functions_Index.html) - POSTGIS is the extension that make postgres have GIS capabilities. This is here as a resource but it will be discussed in more detail later.\n",
+    "* [GeoAlchemy2](https://geoalchemy-2.readthedocs.io/en/0.8.4/) - geoalchemy is library that allows us to leverage postgis and other gis functions\n",
+    "* [SqlAlchemy](https://docs.sqlalchemy.org/en/14/)            - sqlalchemy is the underlying library that lets us map python to databases\n",
+    "* [Hackweek DB Cheat Sheet](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html) - This is a cheat sheet we put together to help you use the database.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "aging-volunteer",
+   "metadata": {},
+   "source": [
+    "## Recap \n",
+    "You just explored the database structure and discussed how they differ.\n",
+    "\n",
+    "**You should know:**\n",
+    "* Which tables matter to a snowex scientist\n",
+    "* What columns you can work with (or how to get the available columns)\n",
+    "* Some resources to begin helping yourself.\n",
+    "\n",
+    "If you don't feel comfortable with these, you are probably not alone, let's discuss it!"
+   ]
+  }
+ ],
+ "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": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
new file mode 100644
index 0000000..7eb5f14
--- /dev/null
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -0,0 +1,233 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Forming Queries\n",
+    "\n",
+    "Get Familiar with querying the database. BUT don't forget your [cheat sheets](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html)! \n",
+    "\n",
+    "## Process\n",
+    "### Getting Connected\n",
+    "Getting connected to the database is easiest done using the snowexsql library function [`get_db`](https://snowexsql.readthedocs.io/en/latest/snowexsql.html#snowexsql.db.get_db)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the function to get connect to the db\n",
+    "from snowexsql.db import get_db\n",
+    "\n",
+    "# This is what you will use for all of hackweek to access the db\n",
+    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Importing the tables classes\n",
+    "These are critical for build queries. You will need at least one of these every query since they reflect the data were interested in.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from snowexsql.data import SiteData, PointData, LayerData, ImageData"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Query Time!\n",
+    "We build queries in python using `session.query()`. Whatever we put inside of the query parentheses is what we will get back in the results!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# This is what you will use for all of hackweek to access the db\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# Lets grab a single row from the points table\n",
+    "qry = session.query(PointData).limit(1)\n",
+    "\n",
+    "# Execute that query!\n",
+    "result = qry.all()\n",
+    "\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pause for moment and consider what is in `result`....\n",
+    "\n",
+    "\n",
+    "Is it:\n",
+    "\n",
+    "    A. a single value\n",
+    "    B. a bunch of values\n",
+    "    C. an object\n",
+    "    D. a row of values\n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# uncomment the line below and print out the results \n",
+    "print(result)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This feels soooo *limited* :)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": [
+     "nbsphinx-gallery",
+     "nbsphinx-thumbnail"
+    ]
+   },
+   "source": [
+    "**Questions**\n",
+    "* What happens if we changed the number in the limit? What will we get back?\n",
+    "* Where are our column names?\n",
+    "* What if I only wanted a single column and not a whole row?\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Filtering\n",
+    "The database had a silly number of records, and asking for all of them will crash your computer. \n",
+    "\n",
+    "So let talk about using `.filter()`\n",
+    "\n",
+    "All queries can be reduced by applying `session.query(__).filter(__)` and a lot can go into the parentheses. This is where your cheat sheet will come in handy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# This is what you will use for all of hackweek to access the db\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# Its convenient to store a query like the following \n",
+    "qry = session.query(LayerData)\n",
+    "\n",
+    "# Then filter on it to just density profiles\n",
+    "qry = qry.filter(LayerData.type == 'density')\n",
+    "\n",
+    "# protect ourselves from a lot of data\n",
+    "qry = qry.limit(5)\n",
+    "\n",
+    "result = qry.all()\n",
+    "print(result)\n",
+    "\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Questions**\n",
+    "* What happens if I filter on a qry that's been filtered?\n",
+    "* What happens if I just want a single column/attribute back? How do I do that?\n",
+    "\n",
+    "### How do I know what to filter on?\n",
+    "Queries and `.distinct()`!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# This is what you will use for all of hackweek to access the db\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# Get the unique datanames in the table\n",
+    "results = session.query(LayerData.type).distinct().all()\n",
+    "print('Available types = {}'.format(', '.join([r[0] for r in results])))\n",
+    "\n",
+    "# Get the unique instrument in the table\n",
+    "results = session.query(LayerData.instrument).distinct().all()\n",
+    "print('\\nAvailable Instruments = {}'.format(', '.join([str(r[0]) for r in results])))\n",
+    "\n",
+    "# Get the unique dates in the table\n",
+    "results = session.query(LayerData.date).distinct().all()\n",
+    "print('\\nAvailable Dates = {}'.format(', '.join([str(r[0]) for r in results])))\n",
+    "\n",
+    "# Get the unique surveyors in the table\n",
+    "results = session.query(LayerData.observers).distinct().all()\n",
+    "print('\\nAvailable surveyors = {}'.format(', '.join([str(r[0]) for r in results])))\n",
+    "\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Recap \n",
+    "You just explored using the session object to form queries and compounding filters results with it\n",
+    "\n",
+    "**You should know:**\n",
+    "* How to build queries using filtering\n",
+    "* How to isolate column data \n",
+    "* Determine what values to filter on\n",
+    "\n",
+    "If you don't feel comfortable with these, you are probably not alone, let's discuss it!"
+   ]
+  }
+ ],
+ "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": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/book/tutorials/snowex_database/4_get_spiral_example.ipynb b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
new file mode 100644
index 0000000..a8711cb
--- /dev/null
+++ b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
@@ -0,0 +1,194 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Forming Queries: Example Visualizng Depths\n",
+    "\n",
+    "During the SnowEx campaigns a TON of manual snow depths were collected, surveys for hackweek showed an overhelming interest in the manual \n",
+    "snow depths dataset. This tutorial shows how easy it is to get at that data in the database while learning how to build queries\n",
+    "\n",
+    "Don't forget your [cheat sheets](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html)! \n",
+    "\n",
+    "**Goal**: Visualize a small subset of snow depths \n",
+    "\n",
+    "**Approach**: \n",
+    "\n",
+    "1. Connect to the DB\n",
+    "2. Build a query filtering by dataset and date\n",
+    "3. Convert to a GeoDataFrame and plot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Process\n",
+    "### Step 1: Get connected"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the function to get connect to the db\n",
+    "from snowexsql.db import get_db\n",
+    "\n",
+    "# Import our class for the points table\n",
+    "from snowexsql.data import PointData\n",
+    "\n",
+    "# Import a useful function to format that data into a dataframe\n",
+    "from snowexsql.conversions import query_to_geopandas\n",
+    "\n",
+    "# Import some tools to build dates \n",
+    "from datetime import date\n",
+    "\n",
+    "# This is what you will use for all of hackweek to access the db\n",
+    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 2: Build a query "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Pick a dataset\n",
+    "dataset = 'depth'\n",
+    "\n",
+    "# Pick a date\n",
+    "collection_date = date(2020, 2, 7)\n",
+    "\n",
+    "# Site name\n",
+    "site_name = \"Grand Mesa\"\n",
+    "\n",
+    "# Get a session\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# The part inside the query function is what we want back, in this case all columns for the point data\n",
+    "qry = session.query(PointData)\n",
+    "\n",
+    "# Filter by site\n",
+    "qry = qry.filter(PointData.site_name == site_name)\n",
+    "\n",
+    "# We then want to filter by the selected the data type depth.\n",
+    "qry = qry.filter(PointData.type == dataset)\n",
+    "\n",
+    "# Filter by a date\n",
+    "qry = qry.filter(PointData.date == collection_date)\n",
+    "\n",
+    "# Limit it to a couple hundred - just for exploration\n",
+    "qry = qry.limit(200)\n",
+    "\n",
+    "# Execute the query and convert to geopandas in one handy function\n",
+    "df = query_to_geopandas(qry, engine)\n",
+    "\n",
+    "# how many did we retrieve?\n",
+    "print(f'{len(df.index)} records returned!')\n",
+    "\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 3: Plot it!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": [
+     "nbsphinx-gallery",
+     "nbsphinx-thumbnail"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "# Get the Matplotlib Axes object from the dataframe object, color the points by snow depth value\n",
+    "ax = df.plot(column='value', legend=True, cmap='PuBu')\n",
+    "\n",
+    "# Use non-scientific notation for x and y ticks\n",
+    "ax.ticklabel_format(style='plain', useOffset=False)\n",
+    "\n",
+    "# Set the various plots x/y labels and title.\n",
+    "ax.set_title(f'{len(df.index)} {dataset.title()}s collected on {collection_date.strftime(\"%Y-%m-%d\")}')\n",
+    "ax.set_xlabel('Easting [m]')\n",
+    "ax.set_ylabel('Northing [m]')\n",
+    "\n",
+    "# Close the session to avoid hanging transactions\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Lets try to filter to get the data to show only a depth spiral."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Let see what instruments are available \n",
+    "result = session.query(PointData.instrument).filter(PointData.type == 'depth').distinct().all()\n",
+    "print(result)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Try This:**\n",
+    "Go back and add a filter to reduce to just one spiral. Do you know what instrument was used to make depth spirals?\n",
+    "\n",
+    "\n",
+    "## Recap \n",
+    "You just plotted snow depths and reduce the scope of the data by compounding filters on it\n",
+    "\n",
+    "**You should know:**\n",
+    "* How to build queries using filtering\n",
+    "* Where a useful tools like [`query_to_geopandas`](https://snowexsql.readthedocs.io/en/latest/snowexsql.html#snowexsql.conversions.query_to_geopandas) live in the snowexsql library\n",
+    "\n",
+    "\n",
+    "If you don't feel comfortable with these, you are probably not alone, let's discuss it!\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
new file mode 100644
index 0000000..2836bed
--- /dev/null
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -0,0 +1,284 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Forming Queries: PostGIS Functions\n",
+    "\n",
+    "PostGIS offer a host of functions that we can access through python using special functions to utilize them \n",
+    "\n",
+    "Don't forget your [cheat sheets](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html)! \n",
+    "\n",
+    "\n",
+    "In general they follow the convention\n",
+    "``` sql\n",
+    "ST_<Function_Name>\n",
+    "```\n",
+    "\n",
+    "They also tend to fall into (generally) 2 categories, points and rasters. \n",
+    "\n",
+    "\n",
+    "## Process \n",
+    "### Get Connected"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the function to get connect to the db\n",
+    "from snowexsql.db import get_db\n",
+    "\n",
+    "# This is what you will use for all of hackweek to access the db\n",
+    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Let's get a single raster tile\n",
+    "\n",
+    "Checkout the documentation for [`ST_AsTiff`](https://postgis.net/docs/RT_ST_AsTIFF.html)\n",
+    "\n",
+    "Raster data in the database is stored in Well Known binary format so to make it useful to us we convert to geotiff format. \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from snowexsql.data import ImageData\n",
+    "\n",
+    "# Grab a session\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# What will this return?\n",
+    "result = session.query(ImageData.raster).limit(1).all()\n",
+    "\n",
+    "print(type(result[0][0]))\n",
+    "\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import this to use define sql functions (e.g. postgis!)\n",
+    "from sqlalchemy.sql import func \n",
+    "\n",
+    "# Import this to convert to a rasterio object for easy plotting\n",
+    "from snowexsql.conversions import raster_to_rasterio \n",
+    "\n",
+    "# Import a convenient function to plot with \n",
+    "from rasterio.plot import show"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Grab a session\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# Remember in the query parentheses is what we get back, in this case were asking for the raster data as a geotiff\n",
+    "result = session.query(func.ST_AsTiff(ImageData.raster)).filter(ImageData.type == 'depth').limit(1).all()\n",
+    "\n",
+    "# Now make it more available as a python object \n",
+    "datasets = raster_to_rasterio(session, result)\n",
+    "\n",
+    "# Plot the georeferenced image \n",
+    "show(datasets[0], vmax=1.2, vmin=0, cmap='winter')\n",
+    "\n",
+    "# Close the dataset\n",
+    "datasets[0].close()\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Lets use a few more. \n",
+    "\n",
+    "Lets try to get a raster tile on a pit!\n",
+    "\n",
+    "Checkout the documentation for \n",
+    "\n",
+    "* [`ST_Union`](https://postgis.net/docs/RT_ST_Union.html)\n",
+    "* [`ST_Intersects`](https://postgis.net/docs/RT_ST_Intersects.html)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import our pits metadata table class\n",
+    "from snowexsql.data import SiteData\n",
+    "from geoalchemy2.types import Raster\n",
+    "import geoalchemy2.functions as gfunc\n",
+    "\n",
+    "# Grab a session\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# session.rollback()\n",
+    "\n",
+    "# 1. Lets choose a site we want to grab a raster tile\n",
+    "site_id = '5S31'\n",
+    "\n",
+    "# 2. Get the location of the pit, POSTGIS functions like to work in the text format of things so convert the point geom to text which is also in binary in the db   \n",
+    "point = session.query(SiteData.geom).filter(SiteData.site_id == site_id).distinct().all()[0][0]\n",
+    "\n",
+    "# 3. Merge all the tiles together, note gfunc vs func. This is because ST_Union exists in two places in postgis for geom and rasters!\n",
+    "base = gfunc.ST_Union(ImageData.raster, _type=Raster)\n",
+    "\n",
+    "# 4. Get the merged result as a geotiff! \n",
+    "base = func.ST_AsTiff(base)\n",
+    "\n",
+    "# 5. Filter by uavsar interferogram data\n",
+    "qry = session.query(base).filter(ImageData.type == 'insar interferogram real')\n",
+    "\n",
+    "# 6. Filter by a polarization in the description \n",
+    "qry = qry.filter(ImageData.description.contains('Polarization = HH'))\n",
+    "\n",
+    "# 7. Isolate tiles touching the pit location\n",
+    "qry = qry.filter(func.ST_Intersects(ImageData.raster, point))\n",
+    "\n",
+    "print(qry.count())\n",
+    "\n",
+    "# 8. Execute, convert and plot! \n",
+    "result = qry.all()\n",
+    "datasets = raster_to_rasterio(session, result)\n",
+    "show(datasets[0], vmin=-0.02, vmax=0.02, cmap='Purples')\n",
+    "\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Discussion**\n",
+    "\n",
+    "* What is a fundamental difference do you see in using `ST_Union` vs `ST_Intersects`\n",
+    "* Did you notice `ST_Union` used `gfunc.` instead of `func.` ? How many `ST_Union`'s exist? \n",
+    "\n",
+    "\n",
+    "* [`RT_ST_Union`](https://postgis.net/docs/RT_ST_Union.html)\n",
+    "* [`ST_Union`](https://postgis.net/docs/ST_Union.html)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Lets work with some points and Postgis\n",
+    "These functions are critical to rasters use with the database. But there are plenty of very useful functions for non-raster data too! A common use is to grab points in a certain geometry of a locations like a pit.\n",
+    "\n",
+    "Lets pick a pit and grab data with a certain radius of that pit using postgis functions.\n",
+    "\n",
+    "Checkout the documentation on:\n",
+    "\n",
+    "[`ST_Buffer`](https://postgis.net/docs/ST_Buffer.html)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from snowexsql.data import PointData\n",
+    "from snowexsql.conversions import query_to_geopandas\n",
+    "import matplotlib.pyplot as plt \n",
+    "\n",
+    "\n",
+    "# Pick a pit ID\n",
+    "site_id = '1N3'\n",
+    "\n",
+    "# Pick a distance around the pit to collect data in meters\n",
+    "buffer_dist = 50\n",
+    "\n",
+    "# Grab a session\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# Grab our pit location by provided site id from the site details table\n",
+    "qry = session.query(SiteData.geom).filter(SiteData.site_id == site_id)\n",
+    "\n",
+    "# convert qry to df for easy plotting \n",
+    "site_df = query_to_geopandas(qry, engine)\n",
+    "\n",
+    "# Also execute it for the normal db usage\n",
+    "site_geom = qry.all()[0][0]\n",
+    "\n",
+    "# Create a polygon buffered by our distance centered on the pit\n",
+    "qry = session.query(func.ST_Buffer(site_geom, buffer_dist))\n",
+    "\n",
+    "# Execute for other querying\n",
+    "buffered_pit = qry.all()[0][0]\n",
+    "\n",
+    "# Filter by the dataset type depth\n",
+    "qry = session.query(PointData).filter(PointData.type == 'depth').filter(PointData.instrument.in_(['magnaprobe','mesa']))\n",
+    "\n",
+    "# Grab all the point data in the buffer\n",
+    "qry = qry.filter(func.ST_Within(PointData.geom, buffered_pit))\n",
+    "df = query_to_geopandas(qry, engine)\n",
+    "\n",
+    "session.close()\n",
+    "\n",
+    "# plot it with style!\n",
+    "fig, ax = plt.subplots(figsize=(8,8))\n",
+    "ax = df.plot(ax=ax, column='value', cmap='cool')\n",
+    "site_df.plot(ax=ax, marker='^', markersize=100, color='green')\n",
+    "ax.legend([\"Depth\", \"Pit\"])\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Recap\n",
+    "\n",
+    "Postgis functions are awesome but can be finicky. So go slow with them.\n",
+    "\n",
+    "**You should know**\n",
+    "* Where to find PostGIS functions \n",
+    "* When to use geoalchemy2 over sqlachemy functions call \n",
+    "* How to chain together commands "
+   ]
+  }
+ ],
+ "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": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/book/tutorials/snowex_database/6_exporting_data.ipynb b/book/tutorials/snowex_database/6_exporting_data.ipynb
new file mode 100644
index 0000000..7c4c116
--- /dev/null
+++ b/book/tutorials/snowex_database/6_exporting_data.ipynb
@@ -0,0 +1,129 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "female-farming",
+   "metadata": {},
+   "source": [
+    "# Exporting Data \n",
+    "You may want to export your queried data from the database. In this section we talk about how!\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "painted-mountain",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the function to get connect to the db\n",
+    "from snowexsql.db import get_db\n",
+    "from snowexsql.data import SiteData, PointData, LayerData, ImageData\n",
+    "\n",
+    "# This is what you will use for all of hackweek to access the db\n",
+    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "metallic-underground",
+   "metadata": {},
+   "source": [
+    "## Shapefiles and CSVs\n",
+    "The following can be done with ANY SiteData, PointData, or LayerData query. \n",
+    "\n",
+    "**Note**: Shapefiles do not support datetime object so they must be converted to strings before writing."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "pleasant-liabilities",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import the hand method for converting queries to dataframes\n",
+    "from snowexsql.conversions import query_to_geopandas\n",
+    "\n",
+    "# Grab a session\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "qry = session.query(SiteData.geom).limit(10)\n",
+    "\n",
+    "df = query_to_geopandas(qry, engine)\n",
+    "\n",
+    "# Write to shapefile\n",
+    "df.to_file('site_data.shp')\n",
+    "\n",
+    "# Write to a csv\n",
+    "df.to_csv('site_data.csv')\n",
+    "\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "contemporary-composer",
+   "metadata": {},
+   "source": [
+    "## Rasters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "thrown-coverage",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import the handy function to convert raster db results to rasterio\n",
+    "from snowexsql.conversions import raster_to_rasterio\n",
+    "\n",
+    "# Import the SQL function to access PostGIS functions\n",
+    "from sqlalchemy.sql import func\n",
+    "\n",
+    "# Import rasterio for Writing\n",
+    "import rasterio \n",
+    "\n",
+    "# Grab a session\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# Query 1 raster tile and convert it to a geotiff\n",
+    "result = session.query(func.ST_AsTiff(ImageData.raster)).limit(1).all()\n",
+    "\n",
+    "# Convert the dataset to a rasterio dataset\n",
+    "dataset = raster_to_rasterio(session, result)\n",
+    "\n",
+    "# Copy the profile/tiff metadata (not to be confused with the database metadata)\n",
+    "profile = dataset[0].profile\n",
+    "\n",
+    "# Write to a file \n",
+    "with rasterio.open('raster.tif', 'w', **profile) as dst:\n",
+    "    dst.write(dataset[0].read(1), 1)\n",
+    "\n",
+    "session.close()"
+   ]
+  }
+ ],
+ "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": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/tutorials/snowex_database/7_bonus_challenge.ipynb b/book/tutorials/snowex_database/7_bonus_challenge.ipynb
new file mode 100644
index 0000000..9d0b5b7
--- /dev/null
+++ b/book/tutorials/snowex_database/7_bonus_challenge.ipynb
@@ -0,0 +1,222 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Bonus Challenge: Analyzing Pits\n",
+    "\n",
+    "LayerData, like pits, have some nuance. This challenge will give us some chance to explore the data and get some practice querying and plotting. \n",
+    "This can be done as a small group exercise.\n",
+    "\n",
+    "Don't forget your [cheat sheets](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html)! \n",
+    "\n",
+    "**Goal**: Get more familiar with LayerData and create a vertical profile plot of density\n",
+    "\n",
+    "**Approach**: \n",
+    "\n",
+    "1. Connect to the DB\n",
+    "2. Explore the data\n",
+    "2. Build a query filtering to the dataset you want\n",
+    "3. Convert to a GeoDataFrame and plot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Process\n",
+    "### Step 1: Get connected"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import the function to get connect to the db\n",
+    "from snowexsql.db import get_db\n",
+    "\n",
+    "# Import our class for the layer data\n",
+    "from snowexsql.data import LayerData\n",
+    "\n",
+    "# Import a useful function to format that data into a dataframe\n",
+    "from snowexsql.conversions import query_to_geopandas\n",
+    "\n",
+    "# Import some tools to build dates \n",
+    "from datetime import date\n",
+    "\n",
+    "# This is what you will use for all of hackweek to access the db\n",
+    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 2: Explore the data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from snowexsql.db import get_table_attributes\n",
+    "\n",
+    "# print the columns available\n",
+    "db_columns = get_table_attributes(LayerData)\n",
+    "print(\"These are the available columns in the table:\\n \\n* {}\\n\".format('\\n* '.join(db_columns)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Find the site names and site ids"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Connect\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# Find the distinct site names\n",
+    "result = session.query(LayerData.site_name).filter(LayerData.type == 'density').distinct().all()\n",
+    "site_names = [r[0] for r in result]\n",
+    "\n",
+    "# Find the distinct site_names for the site\n",
+    "print(site_names)\n",
+    "\n",
+    "# Close session\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Connect\n",
+    "engine, session = get_db(db_name)\n",
+    "\n",
+    "# We can filter to a site_name, change this to whichever value you want as the site name order may not be consistent\n",
+    "site_name = site_names[0]\n",
+    "\n",
+    "# Find the distinct site ids for a site_name\n",
+    "result = session.query(LayerData.site_id)\n",
+    "result = result.filter(LayerData.type == 'density')\n",
+    "result = result.filter(LayerData.site_name == site_name)\n",
+    "\n",
+    "result = result.distinct().all()\n",
+    "site_ids = [r[0] for r in result]\n",
+    "\n",
+    "# Find the distinct site_ids for the site\n",
+    "print(site_ids)\n",
+    "\n",
+    "# Close session\n",
+    "session.close()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 3: Build a query to get the values for 1 pit\n",
+    "\n",
+    "A few things to keep in mind\n",
+    "\n",
+    "* You will need to filter to one site_id and one unique date OR one pit_id\n",
+    "* You will need the density and depth columns to create a vertical profile"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Your code here\n",
+    "pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 4: Convert to a GeoDataFrame and plot"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "tags": [
+     "nbsphinx-gallery",
+     "nbsphinx-thumbnail"
+    ]
+   },
+   "outputs": [],
+   "source": [
+    "# Use the query you built to build a GeoDataFrame and plot the data\n",
+    "# Your code here\n",
+    "pass"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Extra: Can you get the bulk density of the snowpack?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Your code here\n",
+    "pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# a block for closing errant sessions\n",
+    "session.close()"
+   ]
+  }
+ ],
+ "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": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/book/tutorials/snowex_database/8_wrap_up.ipynb b/book/tutorials/snowex_database/8_wrap_up.ipynb
new file mode 100644
index 0000000..291c394
--- /dev/null
+++ b/book/tutorials/snowex_database/8_wrap_up.ipynb
@@ -0,0 +1,56 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "approximate-selling",
+   "metadata": {},
+   "source": [
+    "# Wrap up\n",
+    "\n",
+    "## QGIS \n",
+    "\n",
+    "You can use the database with QGIS or ArcGIS. There are some [examples in QGIS](https://snowexsql.readthedocs.io/en/latest/qgis.html) in the documentation on that on Read the docs for the snowexsql\n",
+    "\n",
+    "\n",
+    "## Community Software\n",
+    "\n",
+    "* Open Source software means you can participate! Checkout [contributing on RTD](https://snowexsql.readthedocs.io/en/latest/contributing.html)\n",
+    "* Can I work locally? Yep! Checkout the [python installation on RTD](https://snowexsql.readthedocs.io/en/latest/installation.html#python) If you are just doing python development you do not need to install the database.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "compact-mills",
+   "metadata": {},
+   "source": [
+    "\n",
+    "## Acknowlegdments\n",
+    "\n",
+    "Big thanks to all the dedicated scientists who went out and collected these invaluable datasets. \n",
+    "\n",
+    "A huge thanks to HP Marshall who gave me the opportunity to build this a couple years ago and continues to fund it. Buy him a beer or better yet volunteer for field work to hang out with him! "
+   ]
+  }
+ ],
+ "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": "3.10.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/book/tutorials/snowex_database/index.md b/book/tutorials/snowex_database/index.md
new file mode 100644
index 0000000..b28875c
--- /dev/null
+++ b/book/tutorials/snowex_database/index.md
@@ -0,0 +1,4 @@
+# SnowEx Database 
+
+```{tableofcontents}
+```

From 8baf7c5be08a17232bd9380b0337f92d04b0d3bc Mon Sep 17 00:00:00 2001
From: Micah Sandusky <micc5725@gmail.com>
Date: Mon, 17 Jun 2024 15:59:56 -0600
Subject: [PATCH 02/21] add api examples

---
 .../snowex_database/api_intro_example.ipynb   | 1474 ++++++++
 .../api_plot_pit_density_example.ipynb        | 3023 +++++++++++++++++
 2 files changed, 4497 insertions(+)
 create mode 100644 book/tutorials/snowex_database/api_intro_example.ipynb
 create mode 100644 book/tutorials/snowex_database/api_plot_pit_density_example.ipynb

diff --git a/book/tutorials/snowex_database/api_intro_example.ipynb b/book/tutorials/snowex_database/api_intro_example.ipynb
new file mode 100644
index 0000000..79cf441
--- /dev/null
+++ b/book/tutorials/snowex_database/api_intro_example.ipynb
@@ -0,0 +1,1474 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Welcome to the API!\n",
+    "\n",
+    "**Goal**: Easy programmatic access to the database with **no user SQL**\n",
+    "\n",
+    "\n",
+    "## Notes\n",
+    "\n",
+    " * This is not a REST API, more of an SDK\n",
+    " * Current access is for *point* and *layer* data\n",
+    " * Funtions return **lists** or **Geopandas Dataframes**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 1. Import the classes, explore them"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# imports\n",
+    "from datetime import date\n",
+    "import geopandas as gpd\n",
+    "from snowexsql.api import PointMeasurements, LayerMeasurements"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>site_name</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>...</th>\n",
+       "      <th>northing</th>\n",
+       "      <th>easting</th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>utm_zone</th>\n",
+       "      <th>geom</th>\n",
+       "      <th>time</th>\n",
+       "      <th>site_id</th>\n",
+       "      <th>version_number</th>\n",
+       "      <th>equipment</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-05-28</td>\n",
+       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>42443</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>camera</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.321444e+06</td>\n",
+       "      <td>743766.479497</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743766.479 4321444.155)</td>\n",
+       "      <td>18:00:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>camera id = W1B</td>\n",
+       "      <td>-2.99924</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-05-28</td>\n",
+       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>42444</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>camera</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.321444e+06</td>\n",
+       "      <td>743766.479497</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743766.479 4321444.155)</td>\n",
+       "      <td>19:00:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>camera id = W1B</td>\n",
+       "      <td>1.50148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-05-28</td>\n",
+       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>43187</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>camera</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.331951e+06</td>\n",
+       "      <td>249164.808618</td>\n",
+       "      <td>None</td>\n",
+       "      <td>13</td>\n",
+       "      <td>POINT (249164.809 4331951.003)</td>\n",
+       "      <td>18:00:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>camera id = E9B</td>\n",
+       "      <td>-1.15255</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-05-28</td>\n",
+       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>43188</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>camera</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.331951e+06</td>\n",
+       "      <td>249164.808618</td>\n",
+       "      <td>None</td>\n",
+       "      <td>13</td>\n",
+       "      <td>POINT (249164.809 4331951.003)</td>\n",
+       "      <td>19:00:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>camera id = E9B</td>\n",
+       "      <td>1.16381</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-05-28</td>\n",
+       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>43189</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>camera</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.331951e+06</td>\n",
+       "      <td>249164.808618</td>\n",
+       "      <td>None</td>\n",
+       "      <td>13</td>\n",
+       "      <td>POINT (249164.809 4331951.003)</td>\n",
+       "      <td>20:00:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>camera id = E9B</td>\n",
+       "      <td>-2.31073</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    site_name        date                     time_created time_updated  \\\n",
+       "0  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
+       "1  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
+       "2  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
+       "3  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
+       "4  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
+       "\n",
+       "      id   doi date_accessed instrument   type units  ...      northing  \\\n",
+       "0  42443  None    2022-06-30     camera  depth    cm  ...  4.321444e+06   \n",
+       "1  42444  None    2022-06-30     camera  depth    cm  ...  4.321444e+06   \n",
+       "2  43187  None    2022-06-30     camera  depth    cm  ...  4.331951e+06   \n",
+       "3  43188  None    2022-06-30     camera  depth    cm  ...  4.331951e+06   \n",
+       "4  43189  None    2022-06-30     camera  depth    cm  ...  4.331951e+06   \n",
+       "\n",
+       "         easting  elevation  utm_zone                            geom  \\\n",
+       "0  743766.479497       None        12  POINT (743766.479 4321444.155)   \n",
+       "1  743766.479497       None        12  POINT (743766.479 4321444.155)   \n",
+       "2  249164.808618       None        13  POINT (249164.809 4331951.003)   \n",
+       "3  249164.808618       None        13  POINT (249164.809 4331951.003)   \n",
+       "4  249164.808618       None        13  POINT (249164.809 4331951.003)   \n",
+       "\n",
+       "             time  site_id version_number        equipment    value  \n",
+       "0  18:00:00+00:00     None           None  camera id = W1B -2.99924  \n",
+       "1  19:00:00+00:00     None           None  camera id = W1B  1.50148  \n",
+       "2  18:00:00+00:00     None           None  camera id = E9B -1.15255  \n",
+       "3  19:00:00+00:00     None           None  camera id = E9B  1.16381  \n",
+       "4  20:00:00+00:00     None           None  camera id = E9B -2.31073  \n",
+       "\n",
+       "[5 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# The main functions we will use are `from_area` and `from_filter` like this\n",
+    "df = PointMeasurements.from_filter(\n",
+    "    date=date(2020, 5, 28), instrument='camera'\n",
+    ")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Notice:\n",
+    " * We did not need to manage SQL\n",
+    " * We got a geopandas array\n",
+    " * We filtered on specific attributes known to be in the database"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### How do I know what to filter by?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['site_name', 'site_id', 'date', 'instrument', 'observers', 'type', 'utm_zone']\n",
+      "['site_name', 'site_id', 'date', 'instrument', 'observers', 'type', 'utm_zone', 'pit_id']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Find what you can filter by\n",
+    "print(PointMeasurements.ALLOWED_QRY_KWARGS)\n",
+    "print(LayerMeasurements.ALLOWED_QRY_KWARGS)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### How do I know what values work for filtering?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Catherine Breen, Cassie Lumbrazo',), (None,), ('Ryan Webb',), ('Randall Bonnell',), ('Tate Meehan',)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(PointMeasurements().all_observers)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Try it out\n",
+    "\n",
+    "* What instrument could you filter by for PointData?\n",
+    "* What site names could you filter by for LayerData?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Notice we instantiate the class \n",
+    "`PointMeasurements()`\n",
+    "Before calling the property `.all_observers`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# <YOUR CODE HERE>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
+       "&lt;head&gt;    \n",
+       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
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+       "        &lt;script&gt;\n",
+       "            L_NO_TOUCH = false;\n",
+       "            L_DISABLE_3D = false;\n",
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+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
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+       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
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+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
+       "    \n",
+       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
+       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
+       "            &lt;style&gt;\n",
+       "                #map_3a9251b48d62d9b74b01e948b9297502 {\n",
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+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "&lt;/head&gt;\n",
+       "&lt;body&gt;    \n",
+       "    \n",
+       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_3a9251b48d62d9b74b01e948b9297502&quot; &gt;&lt;/div&gt;\n",
+       "        \n",
+       "&lt;/body&gt;\n",
+       "&lt;script&gt;    \n",
+       "    \n",
+       "            var map_3a9251b48d62d9b74b01e948b9297502 = L.map(\n",
+       "                &quot;map_3a9251b48d62d9b74b01e948b9297502&quot;,\n",
+       "                {\n",
+       "                    center: [39.05581950181641, -110.9933604999928],\n",
+       "                    crs: L.CRS.EPSG3857,\n",
+       "                    zoom: 10,\n",
+       "                    zoomControl: true,\n",
+       "                    preferCanvas: false,\n",
+       "                }\n",
+       "            );\n",
+       "            L.control.scale().addTo(map_3a9251b48d62d9b74b01e948b9297502);\n",
+       "\n",
+       "            \n",
+       "\n",
+       "        \n",
+       "    \n",
+       "            var tile_layer_68d49b641b5f9ba3d9729ba810266af3 = L.tileLayer(\n",
+       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
+       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
+       "            ).addTo(map_3a9251b48d62d9b74b01e948b9297502);\n",
+       "        \n",
+       "    \n",
+       "            map_3a9251b48d62d9b74b01e948b9297502.fitBounds(\n",
+       "                [[39.00807800180927, -113.93509700051011], [39.10356100182355, -108.05162399947551]],\n",
+       "                {}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_15760ad3b71b9184149d8591fb8481bc_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_15760ad3b71b9184149d8591fb8481bc.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_15760ad3b71b9184149d8591fb8481bc_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_15760ad3b71b9184149d8591fb8481bc = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_15760ad3b71b9184149d8591fb8481bc_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_15760ad3b71b9184149d8591fb8481bc_styler,\n",
+       "                pointToLayer: geo_json_15760ad3b71b9184149d8591fb8481bc_pointToLayer\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_add (data) {\n",
+       "            geo_json_15760ad3b71b9184149d8591fb8481bc\n",
+       "                .addData(data)\n",
+       "                .addTo(map_3a9251b48d62d9b74b01e948b9297502);\n",
+       "        }\n",
+       "            geo_json_15760ad3b71b9184149d8591fb8481bc_add({&quot;bbox&quot;: [-113.93509700051011, 39.00807800180927, -108.05162399947551, 39.10356100182355], &quot;features&quot;: [{&quot;bbox&quot;: [-108.184793999604, 39.00807800180927, -108.184793999604, 39.00807800180927], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.184793999604, 39.00807800180927], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;id&quot;: 42443, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.99924}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.184793999604, 39.00807800180927, -108.184793999604, 39.00807800180927], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.184793999604, 39.00807800180927], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;1&quot;, &quot;properties&quot;: {&quot;id&quot;: 42444, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.50148}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.90061400047448, 39.100639001822664, -113.90061400047448, 39.100639001822664], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.90061400047448, 39.100639001822664], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;2&quot;, &quot;properties&quot;: {&quot;id&quot;: 43187, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -1.15255}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.90061400047448, 39.100639001822664, -113.90061400047448, 39.100639001822664], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.90061400047448, 39.100639001822664], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;3&quot;, &quot;properties&quot;: {&quot;id&quot;: 43188, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.16381}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.90061400047448, 39.100639001822664, -113.90061400047448, 39.100639001822664], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.90061400047448, 39.100639001822664], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;4&quot;, &quot;properties&quot;: {&quot;id&quot;: 43189, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.31073}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.89370200046763, 39.09896200182252, -113.89370200046763, 39.09896200182252], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.89370200046763, 39.09896200182252], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;5&quot;, &quot;properties&quot;: {&quot;id&quot;: 44623, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 6.34059}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.89370200046763, 39.09896200182252, -113.89370200046763, 39.09896200182252], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.89370200046763, 39.09896200182252], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;6&quot;, &quot;properties&quot;: {&quot;id&quot;: 44624, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 4.53243}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.89370200046763, 39.09896200182252, -113.89370200046763, 39.09896200182252], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.89370200046763, 39.09896200182252], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;7&quot;, &quot;properties&quot;: {&quot;id&quot;: 44625, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 6.34059}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.8776890004521, 39.07402800181878, -113.8776890004521, 39.07402800181878], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.8776890004521, 39.07402800181878], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;8&quot;, &quot;properties&quot;: {&quot;id&quot;: 45374, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 4.0905}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.8776890004521, 39.07402800181878, -113.8776890004521, 39.07402800181878], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.8776890004521, 39.07402800181878], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;9&quot;, &quot;properties&quot;: {&quot;id&quot;: 45375, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.8145}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.8776890004521, 39.07402800181878, -113.8776890004521, 39.07402800181878], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.8776890004521, 39.07402800181878], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;10&quot;, &quot;properties&quot;: {&quot;id&quot;: 45376, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.6335}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.93509700051011, 39.03827000181175, -113.93509700051011, 39.03827000181175], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.93509700051011, 39.03827000181175], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;11&quot;, &quot;properties&quot;: {&quot;id&quot;: 45885, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.86934}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.93509700051011, 39.03827000181175, -113.93509700051011, 39.03827000181175], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.93509700051011, 39.03827000181175], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;12&quot;, &quot;properties&quot;: {&quot;id&quot;: 45886, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.00138}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.88074200045503, 39.10356100182355, -113.88074200045503, 39.10356100182355], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.88074200045503, 39.10356100182355], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;13&quot;, &quot;properties&quot;: {&quot;id&quot;: 46742, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.45605}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.88074200045503, 39.10356100182355, -113.88074200045503, 39.10356100182355], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.88074200045503, 39.10356100182355], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;14&quot;, &quot;properties&quot;: {&quot;id&quot;: 46743, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.47949}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.88074200045503, 39.10356100182355, -113.88074200045503, 39.10356100182355], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.88074200045503, 39.10356100182355], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;15&quot;, &quot;properties&quot;: {&quot;id&quot;: 46744, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 2.43261}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18016699960005, 39.03136600181295, -108.18016699960005, 39.03136600181295], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18016699960005, 39.03136600181295], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;16&quot;, &quot;properties&quot;: {&quot;id&quot;: 47268, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 4.77013}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18016699960005, 39.03136600181295, -108.18016699960005, 39.03136600181295], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18016699960005, 39.03136600181295], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;17&quot;, &quot;properties&quot;: {&quot;id&quot;: 47269, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 3.71229}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16068899958319, 39.033751001813, -108.16068899958319, 39.033751001813], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16068899958319, 39.033751001813], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;18&quot;, &quot;properties&quot;: {&quot;id&quot;: 47761, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.0413}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16068899958319, 39.033751001813, -108.16068899958319, 39.033751001813], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16068899958319, 39.033751001813], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;19&quot;, &quot;properties&quot;: {&quot;id&quot;: 47762, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.5169}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.15568599957875, 39.03647600181334, -108.15568599957875, 39.03647600181334], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.15568599957875, 39.03647600181334], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;20&quot;, &quot;properties&quot;: {&quot;id&quot;: 48265, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.03202}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.15568599957875, 39.03647600181334, -108.15568599957875, 39.03647600181334], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.15568599957875, 39.03647600181334], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;21&quot;, &quot;properties&quot;: {&quot;id&quot;: 48266, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.01138}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17106899959226, 39.02441600181166, -108.17106899959226, 39.02441600181166], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17106899959226, 39.02441600181166], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;22&quot;, &quot;properties&quot;: {&quot;id&quot;: 48761, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.660713}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17106899959226, 39.02441600181166, -108.17106899959226, 39.02441600181166], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17106899959226, 39.02441600181166], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;23&quot;, &quot;properties&quot;: {&quot;id&quot;: 48762, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 3.322509}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18699399960583, 39.01320800181013, -108.18699399960583, 39.01320800181013], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18699399960583, 39.01320800181013], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;24&quot;, &quot;properties&quot;: {&quot;id&quot;: 49224, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -0.7648}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18699399960583, 39.01320800181013, -108.18699399960583, 39.01320800181013], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18699399960583, 39.01320800181013], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;25&quot;, &quot;properties&quot;: {&quot;id&quot;: 49225, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.0224}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16583599958773, 39.01774400181048, -108.16583599958773, 39.01774400181048], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16583599958773, 39.01774400181048], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;26&quot;, &quot;properties&quot;: {&quot;id&quot;: 49709, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.54838}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16583599958773, 39.01774400181048, -108.16583599958773, 39.01774400181048], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16583599958773, 39.01774400181048], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;27&quot;, &quot;properties&quot;: {&quot;id&quot;: 49710, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -0.51018}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16968799959108, 39.01634200181033, -108.16968799959108, 39.01634200181033], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16968799959108, 39.01634200181033], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;28&quot;, &quot;properties&quot;: {&quot;id&quot;: 50305, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -6.26935}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16968799959108, 39.01634200181033, -108.16968799959108, 39.01634200181033], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16968799959108, 39.01634200181033], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;29&quot;, &quot;properties&quot;: {&quot;id&quot;: 50306, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.50831}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17416699959495, 39.012837001809835, -108.17416699959495, 39.012837001809835], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17416699959495, 39.012837001809835], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;30&quot;, &quot;properties&quot;: {&quot;id&quot;: 50817, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 3.71546}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17416699959495, 39.012837001809835, -108.17416699959495, 39.012837001809835], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17416699959495, 39.012837001809835], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;31&quot;, &quot;properties&quot;: {&quot;id&quot;: 50818, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 5.94434}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.05162399947551, 39.05059900181346, -108.05162399947551, 39.05059900181346], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.05162399947551, 39.05059900181346], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;32&quot;, &quot;properties&quot;: {&quot;id&quot;: 51309, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.65799}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.05162399947551, 39.05059900181346, -108.05162399947551, 39.05059900181346], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.05162399947551, 39.05059900181346], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;33&quot;, &quot;properties&quot;: {&quot;id&quot;: 51310, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.65799}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16185099958419, 39.036208001813414, -108.16185099958419, 39.036208001813414], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16185099958419, 39.036208001813414], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;34&quot;, &quot;properties&quot;: {&quot;id&quot;: 51821, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -0.46125}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16185099958419, 39.036208001813414, -108.16185099958419, 39.036208001813414], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16185099958419, 39.036208001813414], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;35&quot;, &quot;properties&quot;: {&quot;id&quot;: 51822, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.32189}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17614999959667, 39.012393001809805, -108.17614999959667, 39.012393001809805], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17614999959667, 39.012393001809805], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;36&quot;, &quot;properties&quot;: {&quot;id&quot;: 52333, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.13537}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17614999959667, 39.012393001809805, -108.17614999959667, 39.012393001809805], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17614999959667, 39.012393001809805], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;37&quot;, &quot;properties&quot;: {&quot;id&quot;: 52334, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.66709}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.87666200045112, 39.05988100181651, -113.87666200045112, 39.05988100181651], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.87666200045112, 39.05988100181651], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;38&quot;, &quot;properties&quot;: {&quot;id&quot;: 53062, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 27.98692}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.87666200045112, 39.05988100181651, -113.87666200045112, 39.05988100181651], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.87666200045112, 39.05988100181651], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;39&quot;, &quot;properties&quot;: {&quot;id&quot;: 53063, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 25.24212}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.87666200045112, 39.05988100181651, -113.87666200045112, 39.05988100181651], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.87666200045112, 39.05988100181651], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;40&quot;, &quot;properties&quot;: {&quot;id&quot;: 53064, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 26.34004}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.20853599962348, 39.0138230018106, -108.20853599962348, 39.0138230018106], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.20853599962348, 39.0138230018106], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;41&quot;, &quot;properties&quot;: {&quot;id&quot;: 53556, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -5.53901}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.20853599962348, 39.0138230018106, -108.20853599962348, 39.0138230018106], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.20853599962348, 39.0138230018106], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;42&quot;, &quot;properties&quot;: {&quot;id&quot;: 53557, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -7.20377}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18487999960406, 39.01723600181073, -108.18487999960406, 39.01723600181073], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18487999960406, 39.01723600181073], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;43&quot;, &quot;properties&quot;: {&quot;id&quot;: 54045, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.20116}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18487999960406, 39.01723600181073, -108.18487999960406, 39.01723600181073], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18487999960406, 39.01723600181073], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;44&quot;, &quot;properties&quot;: {&quot;id&quot;: 54046, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.20116}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.0539959994781, 39.03380600181078, -108.0539959994781, 39.03380600181078], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.0539959994781, 39.03380600181078], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;45&quot;, &quot;properties&quot;: {&quot;id&quot;: 54694, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.00055}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.0539959994781, 39.03380600181078, -108.0539959994781, 39.03380600181078], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.0539959994781, 39.03380600181078], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;46&quot;, &quot;properties&quot;: {&quot;id&quot;: 54695, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.23925}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_15760ad3b71b9184149d8591fb8481bc.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;id&quot;, &quot;value&quot;, &quot;type&quot;, &quot;instrument&quot;];\n",
+       "    let aliases = [&quot;id&quot;, &quot;value&quot;, &quot;type&quot;, &quot;instrument&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x12adea2e0>"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Explore the points\n",
+    "df.crs\n",
+    "df.to_crs(\"EPSG:4326\").loc[:,[\"id\", \"value\", \"type\", \"geom\", \"instrument\"]].explore()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### What if I have a point or a shapefile\n",
+    "\n",
+    "Both the PointMeasurement and LayerMeasurement class have a function called `from_area`\n",
+    "that takes either a `shapely` polygon or a `shapely` point and a radius as well as the same\n",
+    "filter kwargs available in `.from_filter`\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
+       "&lt;head&gt;    \n",
+       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
+       "    \n",
+       "        &lt;script&gt;\n",
+       "            L_NO_TOUCH = false;\n",
+       "            L_DISABLE_3D = false;\n",
+       "        &lt;/script&gt;\n",
+       "    \n",
+       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
+       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
+       "    \n",
+       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
+       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
+       "            &lt;style&gt;\n",
+       "                #map_29ec93ad23976a3d7e16d98315cde87f {\n",
+       "                    position: relative;\n",
+       "                    width: 100.0%;\n",
+       "                    height: 100.0%;\n",
+       "                    left: 0.0%;\n",
+       "                    top: 0.0%;\n",
+       "                }\n",
+       "            &lt;/style&gt;\n",
+       "        \n",
+       "    \n",
+       "                    &lt;style&gt;\n",
+       "                        .foliumtooltip {\n",
+       "                            \n",
+       "                        }\n",
+       "                       .foliumtooltip table{\n",
+       "                            margin: auto;\n",
+       "                        }\n",
+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "&lt;/head&gt;\n",
+       "&lt;body&gt;    \n",
+       "    \n",
+       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_29ec93ad23976a3d7e16d98315cde87f&quot; &gt;&lt;/div&gt;\n",
+       "        \n",
+       "&lt;/body&gt;\n",
+       "&lt;script&gt;    \n",
+       "    \n",
+       "            var map_29ec93ad23976a3d7e16d98315cde87f = L.map(\n",
+       "                &quot;map_29ec93ad23976a3d7e16d98315cde87f&quot;,\n",
+       "                {\n",
+       "                    center: [39.00807796845697, -108.18479431908649],\n",
+       "                    crs: L.CRS.EPSG3857,\n",
+       "                    zoom: 10,\n",
+       "                    zoomControl: true,\n",
+       "                    preferCanvas: false,\n",
+       "                }\n",
+       "            );\n",
+       "            L.control.scale().addTo(map_29ec93ad23976a3d7e16d98315cde87f);\n",
+       "\n",
+       "            \n",
+       "\n",
+       "        \n",
+       "    \n",
+       "            var tile_layer_6b7b5733854c23a204b17441168c6485 = L.tileLayer(\n",
+       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
+       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
+       "            ).addTo(map_29ec93ad23976a3d7e16d98315cde87f);\n",
+       "        \n",
+       "    \n",
+       "            map_29ec93ad23976a3d7e16d98315cde87f.fitBounds(\n",
+       "                [[38.99007708332257, -108.20786588627712], [39.02607885359138, -108.16172275189587]],\n",
+       "                {}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_dcc8fac2394355231e3135e70ee59e20_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_dcc8fac2394355231e3135e70ee59e20.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_dcc8fac2394355231e3135e70ee59e20_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_dcc8fac2394355231e3135e70ee59e20 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_dcc8fac2394355231e3135e70ee59e20_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_dcc8fac2394355231e3135e70ee59e20_styler,\n",
+       "                pointToLayer: geo_json_dcc8fac2394355231e3135e70ee59e20_pointToLayer\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_add (data) {\n",
+       "            geo_json_dcc8fac2394355231e3135e70ee59e20\n",
+       "                .addData(data)\n",
+       "                .addTo(map_29ec93ad23976a3d7e16d98315cde87f);\n",
+       "        }\n",
+       "            geo_json_dcc8fac2394355231e3135e70ee59e20_add({&quot;bbox&quot;: [-108.20786588627712, 38.99007708332257, -108.16172275189587, 39.02607885359138], &quot;features&quot;: [{&quot;bbox&quot;: [-108.20786588627712, 38.99007708332257, -108.16172275189587, 39.02607885359138], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-108.16172275189587, 39.007518562463886], [-108.16190440552192, 39.00575690645403], [-108.16230647297913, 39.00401762342162], [-108.1629250669144, 39.00231746080634], [-108.16375421627264, 39.00067278822613], [-108.16478592432547, 38.999099439978195], [-108.16601024612761, 38.997612562730545], [-108.16741538463852, 38.99622646986419], [-108.16898780456965, 38.99495450386016], [-108.17071236285271, 38.993808908048145], [-108.1725724544674, 38.99280070894205], [-108.17455017222501, 38.99193961028659], [-108.17662647897413, 38.991233899826085], [-108.17878139057935, 38.990690369684735], [-108.1809941679251, 38.990314251117894], [-108.1832435161126, 38.990109164256324], [-108.18550778895178, 38.99007708332257], [-108.18776519680218, 38.99021831765186], [-108.18999401578385, 38.990531508698304], [-108.19217279636918, 38.991013643056434], [-108.19428056936937, 38.99166008137474], [-108.19629704735492, 38.99246460288679], [-108.1982028195902, 38.99341946513713], [-108.19997953862173, 38.99451547833315], [-108.20161009673684, 38.99574209361579], [-108.20307879060199, 38.99708750440715], [-108.20437147250043, 38.99853875986867], [-108.20547568671188, 39.00008188938678], [-108.20638078971638, 39.00170203689568], [-108.2070780530549, 39.003383603753], [-108.20756074784259, 39.00511039879912], [-108.20782421010355, 39.00686579416188], [-108.20786588627712, 39.0086328853107], [-108.20768535843527, 39.01039465382214], [-108.20728434894399, 39.01213413129025], [-108.20666670449931, 39.013834562803375], [-108.20583835966795, 39.015479568409944], [-108.2048072802608, 39.01705330101476], [-108.20358338706458, 39.01854059917919], [-108.20217846064881, 39.01992713334664], [-108.20060602815124, 39.021199544077106], [-108.19888123312313, 39.022345570950336], [-108.1970206896827, 39.02335417088697], [-108.19504232238208, 39.024215624738595], [-108.19296519333423, 39.02492163111092], [-108.19080931827506, 39.02546538650798], [-108.1885954733451, 39.02584165101798], [-108.18634499446986, 39.02604679890166], [-108.18407957129106, 39.02607885359138], [-108.18182103765616, 39.0259375067605], [-108.17959116070834, 39.02562412127826], [-108.17741143063228, 39.025141718022205], [-108.1753028531052, 39.02449494667744], [-108.1732857464741, 39.023690040808404], [-108.17137954563312, 39.02273475764124], [-108.16960261450674, 39.02163830314409], [-108.1679720689584, 39.02041124313501], [-108.16650361183862, 39.019065401282475], [-108.16521138176616, 39.01761374499047], [-108.16410781709786, 39.01607026027629], [-108.16320353639209, 39.01444981685567], [-108.16250723650742, 39.01276802474271], [-108.16202560930368, 39.01104108375351], [-108.16176327773017, 39.00928562736869], [-108.16172275189587, 39.007518562463886]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_dcc8fac2394355231e3135e70ee59e20.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x129d15670>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Set up a fake shapefile\n",
+    "gdf = gpd.GeoDataFrame(\n",
+    "    geometry=gpd.points_from_xy(\n",
+    "        [743766.4794971556], [4321444.154620216], crs=\"epsg:26912\"\n",
+    "    ).buffer(2000.0)\n",
+    ").set_crs(\"epsg:26912\")\n",
+    "\n",
+    "# This is the area we will filter to\n",
+    "gdf.explore()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
+       "&lt;head&gt;    \n",
+       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
+       "    \n",
+       "        &lt;script&gt;\n",
+       "            L_NO_TOUCH = false;\n",
+       "            L_DISABLE_3D = false;\n",
+       "        &lt;/script&gt;\n",
+       "    \n",
+       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
+       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
+       "    \n",
+       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
+       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
+       "            &lt;style&gt;\n",
+       "                #map_88df4d937ac551efa48b350667b5fe8c {\n",
+       "                    position: relative;\n",
+       "                    width: 100.0%;\n",
+       "                    height: 100.0%;\n",
+       "                    left: 0.0%;\n",
+       "                    top: 0.0%;\n",
+       "                }\n",
+       "            &lt;/style&gt;\n",
+       "        \n",
+       "    \n",
+       "                    &lt;style&gt;\n",
+       "                        .foliumtooltip {\n",
+       "                            \n",
+       "                        }\n",
+       "                       .foliumtooltip table{\n",
+       "                            margin: auto;\n",
+       "                        }\n",
+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "&lt;/head&gt;\n",
+       "&lt;body&gt;    \n",
+       "    \n",
+       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_88df4d937ac551efa48b350667b5fe8c&quot; &gt;&lt;/div&gt;\n",
+       "        \n",
+       "&lt;/body&gt;\n",
+       "&lt;script&gt;    \n",
+       "    \n",
+       "            var map_88df4d937ac551efa48b350667b5fe8c = L.map(\n",
+       "                &quot;map_88df4d937ac551efa48b350667b5fe8c&quot;,\n",
+       "                {\n",
+       "                    center: [39.019086985706465, -108.18322615723488],\n",
+       "                    crs: L.CRS.EPSG3857,\n",
+       "                    zoom: 10,\n",
+       "                    zoomControl: true,\n",
+       "                    preferCanvas: false,\n",
+       "                }\n",
+       "            );\n",
+       "            L.control.scale().addTo(map_88df4d937ac551efa48b350667b5fe8c);\n",
+       "\n",
+       "            \n",
+       "\n",
+       "        \n",
+       "    \n",
+       "            var tile_layer_07c545da8a58b6ec54f42ceee0c641cb = L.tileLayer(\n",
+       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
+       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
+       "            ).addTo(map_88df4d937ac551efa48b350667b5fe8c);\n",
+       "        \n",
+       "    \n",
+       "            map_88df4d937ac551efa48b350667b5fe8c.fitBounds(\n",
+       "                [[39.016246311278394, -108.2012916073982], [39.02192766013454, -108.16516070707156]],\n",
+       "                {}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_a09288256aee697846cf85f4ae151762_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_a09288256aee697846cf85f4ae151762_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_a09288256aee697846cf85f4ae151762_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_a09288256aee697846cf85f4ae151762_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_a09288256aee697846cf85f4ae151762_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_a09288256aee697846cf85f4ae151762.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_a09288256aee697846cf85f4ae151762_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_a09288256aee697846cf85f4ae151762 = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_a09288256aee697846cf85f4ae151762_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_a09288256aee697846cf85f4ae151762_styler,\n",
+       "                pointToLayer: geo_json_a09288256aee697846cf85f4ae151762_pointToLayer\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_a09288256aee697846cf85f4ae151762_add (data) {\n",
+       "            geo_json_a09288256aee697846cf85f4ae151762\n",
+       "                .addData(data)\n",
+       "                .addTo(map_88df4d937ac551efa48b350667b5fe8c);\n",
+       "        }\n",
+       "            geo_json_a09288256aee697846cf85f4ae151762_add({&quot;bbox&quot;: [-108.2012916073982, 39.016246311278394, -108.16516070707156, 39.02192766013454], &quot;features&quot;: [{&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;depth&quot;: 108.0, &quot;id&quot;: 50, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;206.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;1&quot;, &quot;properties&quot;: {&quot;depth&quot;: 98.0, &quot;id&quot;: 51, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;232.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;2&quot;, &quot;properties&quot;: {&quot;depth&quot;: 88.0, &quot;id&quot;: 52, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;312.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;3&quot;, &quot;properties&quot;: {&quot;depth&quot;: 78.0, &quot;id&quot;: 53, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;287.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;4&quot;, &quot;properties&quot;: {&quot;depth&quot;: 68.0, &quot;id&quot;: 54, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;275.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;5&quot;, &quot;properties&quot;: {&quot;depth&quot;: 58.0, &quot;id&quot;: 55, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;284.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;6&quot;, &quot;properties&quot;: {&quot;depth&quot;: 48.0, &quot;id&quot;: 56, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;272.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;7&quot;, &quot;properties&quot;: {&quot;depth&quot;: 38.0, &quot;id&quot;: 57, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;342.3333333333333&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;8&quot;, &quot;properties&quot;: {&quot;depth&quot;: 28.0, &quot;id&quot;: 58, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;337.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;9&quot;, &quot;properties&quot;: {&quot;depth&quot;: 18.0, &quot;id&quot;: 59, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;304.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;10&quot;, &quot;properties&quot;: {&quot;depth&quot;: 10.0, &quot;id&quot;: 60, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;310.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17135631527984, 39.02002163107934, -108.17135631527984, 39.02002163107934], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17135631527984, 39.02002163107934], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;11&quot;, &quot;properties&quot;: {&quot;depth&quot;: 101.0, &quot;id&quot;: 1313, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;154.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17135631527984, 39.02002163107934, -108.17135631527984, 39.02002163107934], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17135631527984, 39.02002163107934], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;12&quot;, &quot;properties&quot;: {&quot;depth&quot;: 91.0, &quot;id&quot;: 1314, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;204.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17135631527984, 39.02002163107934, -108.17135631527984, 39.02002163107934], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17135631527984, 39.02002163107934], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;13&quot;, &quot;properties&quot;: {&quot;depth&quot;: 81.0, &quot;id&quot;: 1315, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;238.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17135631527984, 39.02002163107934, -108.17135631527984, 39.02002163107934], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17135631527984, 39.02002163107934], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;14&quot;, &quot;properties&quot;: {&quot;depth&quot;: 71.0, &quot;id&quot;: 1316, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;279.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17135631527984, 39.02002163107934, -108.17135631527984, 39.02002163107934], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17135631527984, 39.02002163107934], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;15&quot;, &quot;properties&quot;: {&quot;depth&quot;: 61.0, &quot;id&quot;: 1317, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;256.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17135631527984, 39.02002163107934, -108.17135631527984, 39.02002163107934], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17135631527984, 39.02002163107934], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;16&quot;, &quot;properties&quot;: {&quot;depth&quot;: 51.0, &quot;id&quot;: 1318, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;260.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17135631527984, 39.02002163107934, -108.17135631527984, 39.02002163107934], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17135631527984, 39.02002163107934], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;17&quot;, &quot;properties&quot;: {&quot;depth&quot;: 41.0, &quot;id&quot;: 1319, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;268.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17135631527984, 39.02002163107934, -108.17135631527984, 39.02002163107934], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17135631527984, 39.02002163107934], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;18&quot;, &quot;properties&quot;: {&quot;depth&quot;: 31.0, &quot;id&quot;: 1320, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;295.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18341732312517, 39.01671907770549, -108.18341732312517, 39.01671907770549], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18341732312517, 39.01671907770549], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;19&quot;, &quot;properties&quot;: {&quot;depth&quot;: 92.0, &quot;id&quot;: 1736, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;428.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18341732312517, 39.01671907770549, -108.18341732312517, 39.01671907770549], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18341732312517, 39.01671907770549], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;20&quot;, &quot;properties&quot;: {&quot;depth&quot;: 82.0, &quot;id&quot;: 1737, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;221.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18341732312517, 39.01671907770549, -108.18341732312517, 39.01671907770549], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18341732312517, 39.01671907770549], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;21&quot;, &quot;properties&quot;: {&quot;depth&quot;: 72.0, &quot;id&quot;: 1738, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;269.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18341732312517, 39.01671907770549, -108.18341732312517, 39.01671907770549], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18341732312517, 39.01671907770549], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;22&quot;, &quot;properties&quot;: {&quot;depth&quot;: 62.0, &quot;id&quot;: 1739, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;269.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18341732312517, 39.01671907770549, -108.18341732312517, 39.01671907770549], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18341732312517, 39.01671907770549], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;23&quot;, &quot;properties&quot;: {&quot;depth&quot;: 52.0, &quot;id&quot;: 1740, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;261.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18341732312517, 39.01671907770549, -108.18341732312517, 39.01671907770549], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18341732312517, 39.01671907770549], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;24&quot;, &quot;properties&quot;: {&quot;depth&quot;: 42.0, &quot;id&quot;: 1741, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;248.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19216852602523, 39.02115545190938, -108.19216852602523, 39.02115545190938], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19216852602523, 39.02115545190938], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;25&quot;, &quot;properties&quot;: {&quot;depth&quot;: 70.0, &quot;id&quot;: 2033, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;288.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19216852602523, 39.02115545190938, -108.19216852602523, 39.02115545190938], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19216852602523, 39.02115545190938], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;26&quot;, &quot;properties&quot;: {&quot;depth&quot;: 60.0, &quot;id&quot;: 2034, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;280.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19216852602523, 39.02115545190938, -108.19216852602523, 39.02115545190938], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19216852602523, 39.02115545190938], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;27&quot;, &quot;properties&quot;: {&quot;depth&quot;: 50.0, &quot;id&quot;: 2035, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;250.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19216852602523, 39.02115545190938, -108.19216852602523, 39.02115545190938], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19216852602523, 39.02115545190938], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;28&quot;, &quot;properties&quot;: {&quot;depth&quot;: 40.0, &quot;id&quot;: 2036, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;266.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19216852602523, 39.02115545190938, -108.19216852602523, 39.02115545190938], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19216852602523, 39.02115545190938], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;29&quot;, &quot;properties&quot;: {&quot;depth&quot;: 30.0, &quot;id&quot;: 2037, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;276.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19216852602523, 39.02115545190938, -108.19216852602523, 39.02115545190938], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19216852602523, 39.02115545190938], 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[-108.18567343179579, 39.01923304133463], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;431&quot;, &quot;properties&quot;: {&quot;depth&quot;: 13.0, &quot;id&quot;: 11625, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;306.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;432&quot;, &quot;properties&quot;: {&quot;depth&quot;: 100.0, &quot;id&quot;: 12487, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;219.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;433&quot;, &quot;properties&quot;: {&quot;depth&quot;: 90.0, &quot;id&quot;: 12488, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;248.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;434&quot;, &quot;properties&quot;: {&quot;depth&quot;: 80.0, &quot;id&quot;: 12489, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;290.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;435&quot;, &quot;properties&quot;: {&quot;depth&quot;: 70.0, &quot;id&quot;: 12490, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;273.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;436&quot;, &quot;properties&quot;: {&quot;depth&quot;: 60.0, &quot;id&quot;: 12491, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;297.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;437&quot;, &quot;properties&quot;: {&quot;depth&quot;: 50.0, &quot;id&quot;: 12492, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;284.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;438&quot;, &quot;properties&quot;: {&quot;depth&quot;: 40.0, &quot;id&quot;: 12493, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;277.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;439&quot;, &quot;properties&quot;: {&quot;depth&quot;: 30.0, &quot;id&quot;: 12494, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;306.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;440&quot;, &quot;properties&quot;: {&quot;depth&quot;: 20.0, &quot;id&quot;: 12495, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;315.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1918514348273, 39.02158024824483, -108.1918514348273, 39.02158024824483], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1918514348273, 39.02158024824483], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;441&quot;, &quot;properties&quot;: {&quot;depth&quot;: 10.0, &quot;id&quot;: 12496, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: null}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;442&quot;, &quot;properties&quot;: {&quot;depth&quot;: 75.0, &quot;id&quot;: 12517, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;367.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;443&quot;, &quot;properties&quot;: {&quot;depth&quot;: 65.0, &quot;id&quot;: 12518, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;268.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;444&quot;, &quot;properties&quot;: {&quot;depth&quot;: 55.0, &quot;id&quot;: 12519, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;274.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;445&quot;, &quot;properties&quot;: {&quot;depth&quot;: 45.0, &quot;id&quot;: 12520, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;280.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;446&quot;, &quot;properties&quot;: {&quot;depth&quot;: 35.0, &quot;id&quot;: 12521, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;257.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;447&quot;, &quot;properties&quot;: {&quot;depth&quot;: 25.0, &quot;id&quot;: 12522, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;251.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;448&quot;, &quot;properties&quot;: {&quot;depth&quot;: 15.0, &quot;id&quot;: 12523, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;270.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;449&quot;, &quot;properties&quot;: {&quot;depth&quot;: 80.0, &quot;id&quot;: 10498, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;277.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;450&quot;, &quot;properties&quot;: {&quot;depth&quot;: 70.0, &quot;id&quot;: 10499, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;270.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;451&quot;, &quot;properties&quot;: {&quot;depth&quot;: 60.0, &quot;id&quot;: 10500, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;272.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;452&quot;, &quot;properties&quot;: {&quot;depth&quot;: 50.0, &quot;id&quot;: 10501, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;263.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;453&quot;, &quot;properties&quot;: {&quot;depth&quot;: 40.0, &quot;id&quot;: 10502, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;308.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;454&quot;, &quot;properties&quot;: {&quot;depth&quot;: 30.0, &quot;id&quot;: 10503, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;308.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;455&quot;, &quot;properties&quot;: {&quot;depth&quot;: 20.0, &quot;id&quot;: 10504, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;300.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;456&quot;, &quot;properties&quot;: {&quot;depth&quot;: 10.0, &quot;id&quot;: 10505, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;301.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_a09288256aee697846cf85f4ae151762.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;id&quot;, &quot;depth&quot;, &quot;value&quot;, &quot;type&quot;];\n",
+       "    let aliases = [&quot;id&quot;, &quot;depth&quot;, &quot;value&quot;, &quot;type&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x129ce1ee0>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get density near the point\n",
+    "df = LayerMeasurements.from_area(\n",
+    "    type=\"density\",\n",
+    "    shp=gdf.iloc[0].geometry,\n",
+    ")\n",
+    "\n",
+    "df.to_crs(\"EPSG:4326\").loc[:,[\"id\", \"depth\", \"value\", \"type\", \"geom\"]].explore()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### How much filtering is enough? "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "I got a `LargeQueryCheckException`\n",
+    "\n",
+    "GIVE ME THE DATA PLEASE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "tags": [
+     "nbsphinx-gallery",
+     "nbsphinx-thumbnail"
+    ]
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed query for PointData\n"
+     ]
+    },
+    {
+     "ename": "LargeQueryCheckException",
+     "evalue": "Query will return 33364 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mLargeQueryCheckException\u001b[0m                  Traceback (most recent call last)",
+      "\u001b[0;32m/var/folders/jh/tvv3prb117d22jyn0vmbjn880000gn/T/ipykernel_51325/2889856166.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# This query will fail\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m df = PointMeasurements.from_filter(\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0minstrument\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"magnaprobe\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m )\n",
+      "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36mfrom_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    186\u001b[0m                 \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    187\u001b[0m                 \u001b[0mLOG\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Failed query for PointData\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 188\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    190\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36mfrom_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    181\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    182\u001b[0m                 \u001b[0mqry\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMODEL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 183\u001b[0;31m                 \u001b[0mqry\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend_qry\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    184\u001b[0m                 \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mquery_to_geopandas\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    185\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36mextend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcheck_size\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m             \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_size\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mqry\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36m_check_size\u001b[0;34m(cls, qry, kwargs)\u001b[0m\n\u001b[1;32m     69\u001b[0m         \u001b[0mcount\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mqry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcount\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMAX_RECORD_COUNT\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m\"limit\"\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 71\u001b[0;31m             raise LargeQueryCheckException(\n\u001b[0m\u001b[1;32m     72\u001b[0m                 \u001b[0;34mf\"Query will return {count} number of records,\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     73\u001b[0m                 \u001b[0;34mf\" but we have a default max of {cls.MAX_RECORD_COUNT}.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mLargeQueryCheckException\u001b[0m: Query will return 33364 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records."
+     ]
+    }
+   ],
+   "source": [
+    "# This query will fail\n",
+    "df = PointMeasurements.from_filter(\n",
+    "    instrument=\"magnaprobe\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>site_name</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>...</th>\n",
+       "      <th>northing</th>\n",
+       "      <th>easting</th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>utm_zone</th>\n",
+       "      <th>geom</th>\n",
+       "      <th>time</th>\n",
+       "      <th>site_id</th>\n",
+       "      <th>version_number</th>\n",
+       "      <th>equipment</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-29</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8713</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.322865e+06</td>\n",
+       "      <td>741881.102466</td>\n",
+       "      <td>3037.8</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (741881.102 4322865.037)</td>\n",
+       "      <td>14:56:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-29</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8714</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.322859e+06</td>\n",
+       "      <td>741878.675380</td>\n",
+       "      <td>3038.0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (741878.675 4322859.408)</td>\n",
+       "      <td>14:57:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>72.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-29</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8715</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.322855e+06</td>\n",
+       "      <td>741877.080058</td>\n",
+       "      <td>3037.1</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (741877.080 4322854.914)</td>\n",
+       "      <td>14:57:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>84.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-29</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8716</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.322850e+06</td>\n",
+       "      <td>741875.484733</td>\n",
+       "      <td>3035.5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (741875.485 4322850.421)</td>\n",
+       "      <td>14:57:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>84.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-29</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8717</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.322845e+06</td>\n",
+       "      <td>741873.923512</td>\n",
+       "      <td>3034.6</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (741873.924 4322844.818)</td>\n",
+       "      <td>14:57:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>78.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    site_name        date                     time_created time_updated    id  \\\n",
+       "0  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8713   \n",
+       "1  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8714   \n",
+       "2  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8715   \n",
+       "3  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8716   \n",
+       "4  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8717   \n",
+       "\n",
+       "                                    doi date_accessed  instrument   type  \\\n",
+       "0  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "1  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "2  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "3  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "4  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "\n",
+       "  units  ...      northing        easting  elevation  utm_zone  \\\n",
+       "0    cm  ...  4.322865e+06  741881.102466     3037.8        12   \n",
+       "1    cm  ...  4.322859e+06  741878.675380     3038.0        12   \n",
+       "2    cm  ...  4.322855e+06  741877.080058     3037.1        12   \n",
+       "3    cm  ...  4.322850e+06  741875.484733     3035.5        12   \n",
+       "4    cm  ...  4.322845e+06  741873.923512     3034.6        12   \n",
+       "\n",
+       "                             geom            time  site_id version_number  \\\n",
+       "0  POINT (741881.102 4322865.037)  14:56:00+00:00     None              1   \n",
+       "1  POINT (741878.675 4322859.408)  14:57:00+00:00     None              1   \n",
+       "2  POINT (741877.080 4322854.914)  14:57:00+00:00     None              1   \n",
+       "3  POINT (741875.485 4322850.421)  14:57:00+00:00     None              1   \n",
+       "4  POINT (741873.924 4322844.818)  14:57:00+00:00     None              1   \n",
+       "\n",
+       "  equipment value  \n",
+       "0   CRREL_C  85.0  \n",
+       "1   CRREL_C  72.0  \n",
+       "2   CRREL_C  84.0  \n",
+       "3   CRREL_C  84.0  \n",
+       "4   CRREL_C  78.0  \n",
+       "\n",
+       "[5 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Th queries will pass\n",
+    "df = PointMeasurements.from_filter(\n",
+    "    instrument=\"magnaprobe\",\n",
+    "    limit=100\n",
+    ")\n",
+    "\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### DANGER ZONE\n",
+    "If you need more than 1000 points returned, you can specify so with the `limit`\n",
+    "\n",
+    "The intention is to be aware of how much data will be returned"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>site_name</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>...</th>\n",
+       "      <th>northing</th>\n",
+       "      <th>easting</th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>utm_zone</th>\n",
+       "      <th>geom</th>\n",
+       "      <th>time</th>\n",
+       "      <th>site_id</th>\n",
+       "      <th>version_number</th>\n",
+       "      <th>equipment</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4663</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.323938e+06</td>\n",
+       "      <td>747760.127417</td>\n",
+       "      <td>3143.9</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747760.127 4323937.874)</td>\n",
+       "      <td>20:22:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>64.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4102</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.324060e+06</td>\n",
+       "      <td>747975.533229</td>\n",
+       "      <td>3151.8</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747975.533 4324060.214)</td>\n",
+       "      <td>18:48:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>106.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4103</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.324058e+06</td>\n",
+       "      <td>747973.005869</td>\n",
+       "      <td>3153.8</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747973.006 4324057.912)</td>\n",
+       "      <td>18:48:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>110.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4104</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.324057e+06</td>\n",
+       "      <td>747973.040848</td>\n",
+       "      <td>3153.5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747973.041 4324056.802)</td>\n",
+       "      <td>18:48:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>106.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Grand Mesa</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4105</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>...</td>\n",
+       "      <td>4.324055e+06</td>\n",
+       "      <td>747972.245032</td>\n",
+       "      <td>3154.0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747972.245 4324054.555)</td>\n",
+       "      <td>18:48:00+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>107.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    site_name        date                     time_created time_updated    id  \\\n",
+       "0  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4663   \n",
+       "1  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4102   \n",
+       "2  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4103   \n",
+       "3  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4104   \n",
+       "4  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4105   \n",
+       "\n",
+       "                                    doi date_accessed  instrument   type  \\\n",
+       "0  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "1  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "2  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "3  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "4  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "\n",
+       "  units  ...      northing        easting  elevation  utm_zone  \\\n",
+       "0    cm  ...  4.323938e+06  747760.127417     3143.9        12   \n",
+       "1    cm  ...  4.324060e+06  747975.533229     3151.8        12   \n",
+       "2    cm  ...  4.324058e+06  747973.005869     3153.8        12   \n",
+       "3    cm  ...  4.324057e+06  747973.040848     3153.5        12   \n",
+       "4    cm  ...  4.324055e+06  747972.245032     3154.0        12   \n",
+       "\n",
+       "                             geom            time  site_id version_number  \\\n",
+       "0  POINT (747760.127 4323937.874)  20:22:00+00:00     None              1   \n",
+       "1  POINT (747975.533 4324060.214)  18:48:00+00:00     None              1   \n",
+       "2  POINT (747973.006 4324057.912)  18:48:00+00:00     None              1   \n",
+       "3  POINT (747973.041 4324056.802)  18:48:00+00:00     None              1   \n",
+       "4  POINT (747972.245 4324054.555)  18:48:00+00:00     None              1   \n",
+       "\n",
+       "  equipment  value  \n",
+       "0   CRREL_B   64.0  \n",
+       "1   CRREL_B  106.0  \n",
+       "2   CRREL_B  110.0  \n",
+       "3   CRREL_B  106.0  \n",
+       "4   CRREL_B  107.0  \n",
+       "\n",
+       "[5 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# DANGER ZONE\n",
+    "# If you need more than 1000 points returned, you can specify so with the limit\n",
+    "df = PointMeasurements.from_filter(\n",
+    "    date=date(2020, 1, 28),\n",
+    "    instrument=\"magnaprobe\",\n",
+    "    limit=3000\n",
+    ")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# THE END\n",
+    "\n",
+    "### Go forth and explore"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": "3.9.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb b/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb
new file mode 100644
index 0000000..86647af
--- /dev/null
+++ b/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb
@@ -0,0 +1,3023 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Welcome to the API PT2!\n",
+    "\n",
+    "## Data Edition\n",
+    "\n",
+    "#### Goal - Filter down to the pit density we want and plot it"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 1. Imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# imports\n",
+    "from datetime import date\n",
+    "import geopandas as gpd\n",
+    "import matplotlib.pyplot as plt\n",
+    "from snowexsql.api import PointMeasurements, LayerMeasurements"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 2. Find the pits in the Boise River Basin"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[('Cameron Pass',), ('Sagehen Creek',), ('Fraser Experimental Forest',), ('Mammoth Lakes',), ('Niwot Ridge',), ('Boise River Basin',), ('Little Cottonwood Canyon',), ('East River',), ('American River Basin',), ('Senator Beck',), ('Jemez River',), ('Grand Mesa',)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Find site names we can use\n",
+    "print(LayerMeasurements().all_site_names)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "                    }\n",
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+       "        });\n",
+       "\n",
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+       "                .addData(data)\n",
+       "                .addTo(map_6a49ec106fb6c645478abcf3f42e3064);\n",
+       "        }\n",
+       "            geo_json_4e8bb1634e7c700b7a86b4632321e862_add({&quot;bbox&quot;: [-116.12187999996466, 43.73630000273898, -115.23449999991226, 44.30464000287045], &quot;features&quot;: [{&quot;bbox&quot;: [-116.12179999996465, 43.73702000273915, -116.12179999996465, 43.73702000273915], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12179999996465, 43.73702000273915], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12187999996466, 43.73701000273913, -116.12187999996466, 43.73701000273913], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12187999996466, 43.73701000273913], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;10&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12187999996466, 43.73705000273919, -116.12187999996466, 43.73705000273919], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12187999996466, 43.73705000273919], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;22&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12184999996465, 43.73703000273915, -116.12184999996465, 43.73703000273915], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12184999996465, 43.73703000273915], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;38&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12181999996466, 43.73702000273914, -116.12181999996466, 43.73702000273914], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12181999996466, 43.73702000273914], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;58&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12162999996461, 43.737150002739185, -116.12162999996461, 43.737150002739185], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12162999996461, 43.737150002739185], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;74&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12163999996463, 43.73719000273918, -116.12163999996463, 43.73719000273918], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12163999996463, 43.73719000273918], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;92&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.1204599999646, 43.73633000273898, -116.1204599999646, 43.73633000273898], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.1204599999646, 43.73633000273898], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;106&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Tree&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12049999996462, 43.73640000273902, -116.12049999996462, 43.73640000273902], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12049999996462, 43.73640000273902], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;114&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Tree&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.1205499999646, 43.73630000273898, -116.1205499999646, 43.73630000273898], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.1205499999646, 43.73630000273898], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;122&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Tree&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.1205199999646, 43.736340002739006, -116.1205199999646, 43.736340002739006], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.1205199999646, 43.736340002739006], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;130&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Tree&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.1205699999646, 43.73636000273899, -116.1205699999646, 43.73636000273899], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.1205699999646, 43.73636000273899], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;144&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Tree&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12048999996462, 43.73630000273898, -116.12048999996462, 43.73630000273898], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12048999996462, 43.73630000273898], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;154&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Tree&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12059999996461, 43.73636000273899, -116.12059999996461, 43.73636000273899], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12059999996461, 43.73636000273899], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;164&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Tree&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360299999124, 44.30464000287045, -115.2360299999124, 44.30464000287045], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.30464000287045], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;170&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360099999124, 44.30463000287046, -115.2360099999124, 44.30463000287046], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360099999124, 44.30463000287046], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;178&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23597999991239, 44.30461000287043, -115.23597999991239, 44.30461000287043], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23597999991239, 44.30461000287043], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;196&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2359399999124, 44.30458000287044, -115.2359399999124, 44.30458000287044], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2359399999124, 44.30458000287044], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;242&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360599999124, 44.30447000287041, -115.2360599999124, 44.30447000287041], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360599999124, 44.30447000287041], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;268&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360299999124, 44.30462000287045, -115.2360299999124, 44.30462000287045], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.30462000287045], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;294&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360299999124, 44.304540002870425, -115.2360299999124, 44.304540002870425], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.304540002870425], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;320&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2359899999124, 44.3044800028704, -115.2359899999124, 44.3044800028704], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2359899999124, 44.3044800028704], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;344&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23606999991239, 44.304430002870404, -115.23606999991239, 44.304430002870404], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23606999991239, 44.304430002870404], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;366&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23454999991228, 44.30366000287022, -115.23454999991228, 44.30366000287022], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23454999991228, 44.30366000287022], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;388&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23455999991226, 44.303650002870235, -115.23455999991226, 44.303650002870235], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23455999991226, 44.303650002870235], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;396&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09013999996323, 43.75876000274412, -116.09013999996323, 43.75876000274412], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09013999996323, 43.75876000274412], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;401&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09018999996327, 43.758790002744135, -116.09018999996327, 43.758790002744135], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09018999996327, 43.758790002744135], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;427&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09024999996326, 43.75882000274413, -116.09024999996326, 43.75882000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09024999996326, 43.75882000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;451&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.6766599999437, 43.947350002787246, -115.6766599999437, 43.947350002787246], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.6766599999437, 43.947350002787246], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;473&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Mores Creek Summit&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23449999991226, 44.303670002870206, -115.23449999991226, 44.303670002870206], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23449999991226, 44.303670002870206], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;586&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2346199999123, 44.303590002870195, -115.2346199999123, 44.303590002870195], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2346199999123, 44.303590002870195], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;608&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23452999991227, 44.3036400028702, -115.23452999991227, 44.3036400028702], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23452999991227, 44.3036400028702], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;634&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23453999991226, 44.30363000287019, -115.23453999991226, 44.30363000287019], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23453999991226, 44.30363000287019], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;660&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23453999991226, 44.3036000028702, -115.23453999991226, 44.3036000028702], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23453999991226, 44.3036000028702], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;686&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2346399999123, 44.303580002870184, -115.2346399999123, 44.303580002870184], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2346399999123, 44.303580002870184], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;714&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2345799999123, 44.303580002870184, -115.2345799999123, 44.303580002870184], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2345799999123, 44.303580002870184], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;740&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23459999991229, 44.303590002870195, -115.23459999991229, 44.303590002870195], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23459999991229, 44.303590002870195], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;764&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09021999996327, 43.75886000274413, -116.09021999996327, 43.75886000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09021999996327, 43.75886000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;790&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09019999996326, 43.75885000274413, -116.09019999996326, 43.75885000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09019999996326, 43.75885000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;800&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09021999996327, 43.75881000274412, -116.09021999996327, 43.75881000274412], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09021999996327, 43.75881000274412], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;814&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09018999996327, 43.75882000274414, -116.09018999996327, 43.75882000274414], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09018999996327, 43.75882000274414], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;834&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09016999996322, 43.75878000274413, -116.09016999996322, 43.75878000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09016999996322, 43.75878000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;852&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09017999996324, 43.75881000274413, -116.09017999996324, 43.75881000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09017999996324, 43.75881000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;874&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09016999996322, 43.75884000274412, -116.09016999996322, 43.75884000274412], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09016999996322, 43.75884000274412], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;904&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09016999996322, 43.758810002744134, -116.09016999996322, 43.758810002744134], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09016999996322, 43.758810002744134], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;930&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_4e8bb1634e7c700b7a86b4632321e862.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;site_id&quot;];\n",
+       "    let aliases = [&quot;site_id&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x11bf01b20>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get the first 1000 measurements from the Boise River Basin Site\n",
+    "df = LayerMeasurements.from_filter(\n",
+    "    type=\"density\",\n",
+    "    site_name=\"Boise River Basin\",\n",
+    "    limit=1000\n",
+    ")\n",
+    "\n",
+    "# Explore the pits so we can find an interesting site\n",
+    "df.loc[:, [\"site_id\", \"geom\"]].drop_duplicates().explore()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 3. Pick a point of interest"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "tags": [
+     "nbsphinx-gallery",
+     "nbsphinx-thumbnail"
+    ]
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
+       "&lt;head&gt;    \n",
+       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
+       "    \n",
+       "        &lt;script&gt;\n",
+       "            L_NO_TOUCH = false;\n",
+       "            L_DISABLE_3D = false;\n",
+       "        &lt;/script&gt;\n",
+       "    \n",
+       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
+       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
+       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
+       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
+       "    \n",
+       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
+       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
+       "            &lt;style&gt;\n",
+       "                #map_992b578902d34d79f920397246ff49c1 {\n",
+       "                    position: relative;\n",
+       "                    width: 100.0%;\n",
+       "                    height: 100.0%;\n",
+       "                    left: 0.0%;\n",
+       "                    top: 0.0%;\n",
+       "                }\n",
+       "            &lt;/style&gt;\n",
+       "        \n",
+       "    \n",
+       "                    &lt;style&gt;\n",
+       "                        .foliumtooltip {\n",
+       "                            \n",
+       "                        }\n",
+       "                       .foliumtooltip table{\n",
+       "                            margin: auto;\n",
+       "                        }\n",
+       "                        .foliumtooltip tr{\n",
+       "                            text-align: left;\n",
+       "                        }\n",
+       "                        .foliumtooltip th{\n",
+       "                            padding: 2px; padding-right: 8px;\n",
+       "                        }\n",
+       "                    &lt;/style&gt;\n",
+       "            \n",
+       "&lt;/head&gt;\n",
+       "&lt;body&gt;    \n",
+       "    \n",
+       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_992b578902d34d79f920397246ff49c1&quot; &gt;&lt;/div&gt;\n",
+       "        \n",
+       "&lt;/body&gt;\n",
+       "&lt;script&gt;    \n",
+       "    \n",
+       "            var map_992b578902d34d79f920397246ff49c1 = L.map(\n",
+       "                &quot;map_992b578902d34d79f920397246ff49c1&quot;,\n",
+       "                {\n",
+       "                    center: [44.30453500287042, -115.2360049999124],\n",
+       "                    crs: L.CRS.EPSG3857,\n",
+       "                    zoom: 10,\n",
+       "                    zoomControl: true,\n",
+       "                    preferCanvas: false,\n",
+       "                }\n",
+       "            );\n",
+       "            L.control.scale().addTo(map_992b578902d34d79f920397246ff49c1);\n",
+       "\n",
+       "            \n",
+       "\n",
+       "        \n",
+       "    \n",
+       "            var tile_layer_4ececad1a0deff37f974969e6b604fa6 = L.tileLayer(\n",
+       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
+       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
+       "            ).addTo(map_992b578902d34d79f920397246ff49c1);\n",
+       "        \n",
+       "    \n",
+       "            map_992b578902d34d79f920397246ff49c1.fitBounds(\n",
+       "                [[44.304430002870404, -115.23606999991239], [44.30464000287045, -115.2359399999124]],\n",
+       "                {}\n",
+       "            );\n",
+       "        \n",
+       "    \n",
+       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_styler(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_highlighter(feature) {\n",
+       "            switch(feature.id) {\n",
+       "                default:\n",
+       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
+       "            }\n",
+       "        }\n",
+       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_pointToLayer(feature, latlng) {\n",
+       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
+       "            \n",
+       "            let style = geo_json_90a1485c7462cf24d079cc237c5c56aa_styler(feature)\n",
+       "            Object.assign(opts, style)\n",
+       "            \n",
+       "            return new L.CircleMarker(latlng, opts)\n",
+       "        }\n",
+       "\n",
+       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_onEachFeature(feature, layer) {\n",
+       "            layer.on({\n",
+       "                mouseout: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        geo_json_90a1485c7462cf24d079cc237c5c56aa.resetStyle(e.target);\n",
+       "                    }\n",
+       "                },\n",
+       "                mouseover: function(e) {\n",
+       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
+       "                        const highlightStyle = geo_json_90a1485c7462cf24d079cc237c5c56aa_highlighter(e.target.feature)\n",
+       "                        e.target.setStyle(highlightStyle);\n",
+       "                    }\n",
+       "                },\n",
+       "            });\n",
+       "        };\n",
+       "        var geo_json_90a1485c7462cf24d079cc237c5c56aa = L.geoJson(null, {\n",
+       "                onEachFeature: geo_json_90a1485c7462cf24d079cc237c5c56aa_onEachFeature,\n",
+       "            \n",
+       "                style: geo_json_90a1485c7462cf24d079cc237c5c56aa_styler,\n",
+       "                pointToLayer: geo_json_90a1485c7462cf24d079cc237c5c56aa_pointToLayer\n",
+       "        });\n",
+       "\n",
+       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_add (data) {\n",
+       "            geo_json_90a1485c7462cf24d079cc237c5c56aa\n",
+       "                .addData(data)\n",
+       "                .addTo(map_992b578902d34d79f920397246ff49c1);\n",
+       "        }\n",
+       "            geo_json_90a1485c7462cf24d079cc237c5c56aa_add({&quot;bbox&quot;: [-115.23606999991239, 44.304430002870404, -115.2359399999124, 44.30464000287045], &quot;features&quot;: [{&quot;bbox&quot;: [-115.2360299999124, 44.30464000287045, -115.2360299999124, 44.30464000287045], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.30464000287045], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360099999124, 44.30463000287046, -115.2360099999124, 44.30463000287046], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360099999124, 44.30463000287046], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;8&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23597999991239, 44.30461000287043, -115.23597999991239, 44.30461000287043], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23597999991239, 44.30461000287043], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;26&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2359399999124, 44.30458000287044, -115.2359399999124, 44.30458000287044], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2359399999124, 44.30458000287044], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;72&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360599999124, 44.30447000287041, -115.2360599999124, 44.30447000287041], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360599999124, 44.30447000287041], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;98&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360299999124, 44.30462000287045, -115.2360299999124, 44.30462000287045], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.30462000287045], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;124&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360299999124, 44.304540002870425, -115.2360299999124, 44.304540002870425], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.304540002870425], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;150&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2359899999124, 44.3044800028704, -115.2359899999124, 44.3044800028704], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2359899999124, 44.3044800028704], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;174&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23606999991239, 44.304430002870404, -115.23606999991239, 44.304430002870404], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23606999991239, 44.304430002870404], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;196&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
+       "\n",
+       "        \n",
+       "    \n",
+       "    geo_json_90a1485c7462cf24d079cc237c5c56aa.bindTooltip(\n",
+       "    function(layer){\n",
+       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
+       "    \n",
+       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
+       "    let fields = [&quot;site_id&quot;];\n",
+       "    let aliases = [&quot;site_id&quot;];\n",
+       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
+       "        String(\n",
+       "        fields.map(\n",
+       "        (v,i)=&gt;\n",
+       "        `&lt;tr&gt;\n",
+       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
+       "            \n",
+       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
+       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
+       "    +&#x27;&lt;/table&gt;&#x27;;\n",
+       "    div.innerHTML=table;\n",
+       "    \n",
+       "    return div\n",
+       "    }\n",
+       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
+       "                     \n",
+       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
+      ],
+      "text/plain": [
+       "<folium.folium.Map at 0x1283f9e80>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We noticed there are a lot of pits (timeseries pits) for Banner Open\n",
+    "# Filter down to ONE timeseries\n",
+    "site_id = \"Banner Open\"\n",
+    "df = LayerMeasurements.from_filter(\n",
+    "    type=\"density\",\n",
+    "    site_id=site_id\n",
+    ").set_crs(\"epsg:26911\")\n",
+    "\n",
+    "df.loc[:, [\"site_id\", \"geom\"]].drop_duplicates().explore()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>northing</th>\n",
+       "      <th>easting</th>\n",
+       "      <th>utm_zone</th>\n",
+       "      <th>depth</th>\n",
+       "      <th>bottom_depth</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2019-12-18</th>\n",
+       "      <td>22609.5</td>\n",
+       "      <td>44.30464</td>\n",
+       "      <td>-115.23603</td>\n",
+       "      <td>4.907222e+06</td>\n",
+       "      <td>640699.666121</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>26.000000</td>\n",
+       "      <td>16.000000</td>\n",
+       "      <td>279.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-09</th>\n",
+       "      <td>22670.0</td>\n",
+       "      <td>44.30463</td>\n",
+       "      <td>-115.23601</td>\n",
+       "      <td>4.907221e+06</td>\n",
+       "      <td>640701.285289</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>51.000000</td>\n",
+       "      <td>41.000000</td>\n",
+       "      <td>156.777778</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-23</th>\n",
+       "      <td>22746.0</td>\n",
+       "      <td>44.30461</td>\n",
+       "      <td>-115.23598</td>\n",
+       "      <td>4.907219e+06</td>\n",
+       "      <td>640703.725988</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>61.727273</td>\n",
+       "      <td>51.727273</td>\n",
+       "      <td>254.166667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-01-30</th>\n",
+       "      <td>22830.5</td>\n",
+       "      <td>44.30461</td>\n",
+       "      <td>-115.23598</td>\n",
+       "      <td>4.907219e+06</td>\n",
+       "      <td>640703.725988</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>72.000000</td>\n",
+       "      <td>62.000000</td>\n",
+       "      <td>236.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2020-02-06</th>\n",
+       "      <td>22910.0</td>\n",
+       "      <td>44.30458</td>\n",
+       "      <td>-115.23594</td>\n",
+       "      <td>4.907216e+06</td>\n",
+       "      <td>640706.988222</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>72.000000</td>\n",
+       "      <td>62.000000</td>\n",
+       "      <td>254.141026</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                 id  latitude  longitude      northing        easting  \\\n",
+       "date                                                                    \n",
+       "2019-12-18  22609.5  44.30464 -115.23603  4.907222e+06  640699.666121   \n",
+       "2020-01-09  22670.0  44.30463 -115.23601  4.907221e+06  640701.285289   \n",
+       "2020-01-23  22746.0  44.30461 -115.23598  4.907219e+06  640703.725988   \n",
+       "2020-01-30  22830.5  44.30461 -115.23598  4.907219e+06  640703.725988   \n",
+       "2020-02-06  22910.0  44.30458 -115.23594  4.907216e+06  640706.988222   \n",
+       "\n",
+       "            utm_zone      depth  bottom_depth       value  \n",
+       "date                                                       \n",
+       "2019-12-18      11.0  26.000000     16.000000  279.000000  \n",
+       "2020-01-09      11.0  51.000000     41.000000  156.777778  \n",
+       "2020-01-23      11.0  61.727273     51.727273  254.166667  \n",
+       "2020-01-30      11.0  72.000000     62.000000  236.000000  \n",
+       "2020-02-06      11.0  72.000000     62.000000  254.141026  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Get the mean of each date sampled\n",
+    "df[\"value\"] = df[\"value\"].astype(float)\n",
+    "df.set_index(\"date\", inplace=True)\n",
+    "mean_values = df.groupby(df.index).mean()\n",
+    "mean_values.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Notes on this mean\n",
+    "\n",
+    "Taking this `mean` as bulk density **could be flawed** if layers are overlapping or layers vary in thickness"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# !pip install plotly\n",
+    "import plotly.express as px\n",
+    "# For rendering in readthedocs\n",
+    "import plotly.offline as py\n",
+    "py.init_notebook_mode(connected=True)"
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+       "                            \n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Plot the timeseries of mean density\n",
+    "fig = px.line(\n",
+    "    mean_values, x=mean_values.index, y='value',\n",
+    "    title=f'Mean Density - {site_id}',\n",
+    "    labels={'value': 'Density', 'date': 'Date'}\n",
+    ")\n",
+    "\n",
+    "fig.update_layout(\n",
+    "    template='plotly_dark'\n",
+    ")\n",
+    "\n",
+    "# Show the plot\n",
+    "fig.show()\n",
+    "\n",
+    "# alternative matplotlib code\n",
+    "# mean_values[\"value\"].plot()\n",
+    "# plt.title('Mean Density by Date')\n",
+    "# plt.xlabel('Date')\n",
+    "# plt.ylabel('Mean Density')\n",
+    "# plt.gcf().autofmt_xdate()\n",
+    "# plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.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)}})}}};e.showarrow&&At(0,0),z&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",m(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",m(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,\"x\",T,e);else{var 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n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},52808:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(45899);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use 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a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(X);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var 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rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=[],gt=[],yt={hLinePoint:null,vLinePoint:null},mt=!1;if(Array.isArray(e))for(M=\"array\",it=0;it<e.length;it++)(ot=t.calcdata[e[it].curveNumber||0])&&(st=ot[0].trace,\"skip\"!==ot[0].trace.hoverinfo&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0)));else{var xt,bt,_t=t.calcdata.slice();for(_t.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),at=0;at<_t.length;at++)ot=_t[at],\"skip\"!==(st=ot[0].trace).hoverinfo&&m.isTraceInSubplots(st,x)&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var wt=l.getBoundingClientRect();xt=e.clientX-wt.left,bt=e.clientY-wt.top,b._calcInverseTransform(t);var Tt=o.apply3DTransform(b._invTransform)(xt,bt);if(xt=Tt[0],bt=Tt[1],xt<0||xt>Z[0]._length||bt<0||bt>K[0]._length)return v.unhoverRaw(t,e)}else xt=\"xpx\"in e?e.xpx:Z[0]._length/2,bt=\"ypx\"in e?e.ypx:K[0]._length/2;if(e.pointerX=xt+Z[0]._offset,e.pointerY=bt+K[0]._offset,rt=\"xval\"in e?m.flat(x,e.xval):m.p2c(Z,xt),nt=\"yval\"in e?m.flat(x,e.yval):m.p2c(K,bt),!i(rt[0])||!i(nt[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var kt=1/0;function At(r,n){for(at=0;at<gt.length;at++)if((ot=gt[at])&&ot[0]&&ot[0].trace&&!0===(st=ot[0].trace).visible&&0!==st._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(st._module.name)){if(ct=M,m.isUnifiedHover(ct)&&(ct=ct.charAt(0)),\"splom\"===st.type?lt=x[ut=0]:(lt=m.getSubplot(st),ut=x.indexOf(lt)),pt={cd:ot,trace:st,xa:Z[ut],ya:K[ut],maxHoverDistance:tt,maxSpikeDistance:et,index:!1,distance:Math.min(kt,tt),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:st.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[lt]&&(pt.subplot=b[lt]._subplot),b._splomScenes&&b._splomScenes[st.uid]&&(pt.scene=b._splomScenes[st.uid]),\"array\"===ct){var a=e[at];\"pointNumber\"in a?(pt.index=a.pointNumber,ct=\"closest\"):(ct=\"\",\"xval\"in a&&(ft=a.xval,ct=\"x\"),\"yval\"in a&&(ht=a.yval,ct=ct?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,ht=n):(ft=rt[ut],ht=nt[ut]);if(dt=vt.length,0!==tt)if(st._module&&st._module.hoverPoints){var s=st._module.hoverPoints(pt,ft,ht,ct,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:_,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&vt.push(B(l,M))}else o.log(\"Unrecognized trace type in hover:\",st);if(\"closest\"===M&&vt.length>dt&&(vt.splice(0,dt),kt=vt[0].distance),A&&0!==et&&0===vt.length){pt.distance=et,pt.index=!1;var c=st._module.hoverPoints(pt,ft,ht,\"closest\",{hoverLayer:b._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=et}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=St(p),(!yt.vLinePoint||yt.vLinePoint.spikeDistance>f.spikeDistance)&&(yt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=St(g),(!yt.hLinePoint||yt.hLinePoint.spikeDistance>f.spikeDistance)&&(yt.hLinePoint=f))}}}}}function Mt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function St(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}At();var Et={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,Ct={vLinePoint:yt.vLinePoint,hLinePoint:yt.hLinePoint};t._spikepoints=Ct;var Pt=function(){var t=vt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=vt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),vt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];y.traceIs(s.trace,\"bar-like\")||y.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(vt=t.concat(e),M)};Pt();var Ot=M.charAt(0),It=(\"x\"===Ot||\"y\"===Ot)&&vt[0]&&C[vt[0].trace.type];if(A&&0!==et&&0!==vt.length){var zt=Mt(vt.filter((function(t){return t.ya.showspikes})),et,It);yt.hLinePoint=St(zt);var Dt=Mt(vt.filter((function(t){return t.xa.showspikes})),et,It);yt.vLinePoint=St(Dt)}if(0===vt.length){var Rt=v.unhoverRaw(t,e);return!A||null===yt.hLinePoint&&null===yt.vLinePoint||j(Lt)&&N(t,yt,Et),Rt}if(A&&j(Lt)&&N(t,yt,Et),m.isXYhover(ct)&&0!==vt[0].length&&\"splom\"!==vt[0].trace.type){var Ft=vt[0],Bt=(vt=L[Ft.trace.type]?vt.filter((function(t){return t.trace.index===Ft.trace.index})):[Ft]).length;At(V(\"x\",Ft,b),V(\"y\",Ft,b));var Nt,jt=[],Ut={},Vt=0,qt=function(t){var e=L[t.trace.type]?O(t):t.trace.index;if(Ut[e]){var r=Ut[e]-1,n=jt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(jt[r]=t)}else Vt++,Ut[e]=Vt,jt.push(t)};for(Nt=0;Nt<Bt;Nt++)qt(vt[Nt]);for(Nt=vt.length-1;Nt>Bt-1;Nt--)qt(vt[Nt]);vt=jt,Pt()}var Ht=t._hoverdata,Gt=[],Wt=q(t),Yt=H(t);for(it=0;it<vt.length;it++){var Xt=vt[it],Zt=m.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Kt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Kt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Kt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Jt=Xt.x0+Xt.xa._offset,$t=Xt.x1+Xt.xa._offset,Qt=Xt.y0+Xt.ya._offset,te=Xt.y1+Xt.ya._offset,ee=Math.min(Jt,$t),re=Math.max(Jt,$t),ne=Math.min(Qt,te),ie=Math.max(Qt,te);Zt.bbox={x0:ee+Yt,x1:re+Yt,y0:ne+Wt,y1:ie+Wt}}Xt.eventData=[Zt],Gt.push(Zt)}t._hoverdata=Gt;var ae=\"y\"===M&&(gt.length>1||vt.length>1)||\"closest\"===M&&mt&&vt.length>1,oe=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),se=z(vt,{gd:t,hovermode:M,rotateLabels:ae,bgColor:oe,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),le=se.hoverLabels;if(m.isUnifiedHover(M)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function A(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=R(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(S+p.y)-T(t.by/2-S))+T(t.by);else{var M=w(A*S+p.x),E=M+w(A*t.bx);u=t.crossPos+Math.min(M,E),c=t.crossPos+Math.max(M,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?k:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],E=g[s+1],L=M[M.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(M.push.apply(M,E),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(le,ae,b,se.commonLabelBoundingBox),F(le,ae,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=y.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Gt);h(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Ht)&&(Ht&&t.emit(\"plotly_unhover\",{event:e,points:Ht}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:Z,yaxes:K,xvals:rt,yvals:nt}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=q(i),o=H(i),s=z(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(y.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,m=g.offsetLeft,x=g.offsetTop;c+=m,f+=m,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=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&&(u=t.offset)})).each((function(t){t.offset-=u})),F(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var I=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||x.HOVERFONT,k=e.fontSize||x.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,L=e.fontVariant||i.font.variant,C=t[0],P=C.xa,I=C.ya,z=a.charAt(0),R=z+\"Label\",F=C[R];if(void 0===F&&\"multicategory\"===P.type)for(var B=0;B<t.length&&void 0===(F=t[B][R]);B++);var N=G(r,v),j=N.top,U=N.width,V=N.height,q=void 0!==F&&C.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(q){var H,W,Y=!0;for(H=0;H<t.length;H++)if(Y&&void 0===t[H].zLabel&&(Y=!1),W=t[H].hoverinfo||t[H].trace.hoverinfo){var X=Array.isArray(W)?W:W.split(\"+\");if(-1===X.indexOf(\"all\")&&-1===X.indexOf(a)){q=!1;break}}Y&&(q=!1)}var Z=h.selectAll(\"g.axistext\").data(q?[0]:[]);Z.enter().append(\"g\").classed(\"axistext\",!0),Z.exit().remove();var K={minX:0,maxX:0,minY:0,maxY:0};if(Z.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=g.bgcolor||d.defaultLine,c=g.bordercolor||d.contrast(u),h=d.contrast(u),v={weight:g.font.weight||A,style:g.font.style||M,variant:g.font.variant||L,family:g.font.family||T,size:g.font.size||k,color:g.font.color||h};e.style({fill:u,stroke:c}),s.text(F).call(p.font,v).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var y,m,x=G(r,s.node());if(\"x\"===a){var b=\"top\"===P.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===P.side?j-x.bottom-S-E:j-x.top+S+E),y=P._offset+(C.x0+C.x1)/2,m=I._offset+(\"top\"===P.side?0:I._length);var _=x.width/2+E,w=y;y<_?w=_:y>i.width-_&&(w=i.width-_),e.attr(\"d\",\"M\"+(y-w)+\",0L\"+(y-w+S)+\",\"+b+S+\"H\"+_+\"v\"+b+(2*E+x.height)+\"H\"+-_+\"V\"+b+S+\"H\"+(y-w-S)+\"Z\"),y=w,K.minX=y-_,K.maxX=y+_,\"top\"===P.side?(K.minY=m-(2*E+x.height),K.maxY=m-E):(K.minY=m+E,K.maxY=m+(2*E+x.height))}else{var O,z,D;\"right\"===I.side?(O=\"start\",z=1,D=\"\",y=P._offset+P._length):(O=\"end\",z=-1,D=\"-\",y=P._offset),m=I._offset+(C.y0+C.y1)/2,s.attr(\"text-anchor\",O),e.attr(\"d\",\"M0,0L\"+D+S+\",\"+S+\"V\"+(E+x.height/2)+\"h\"+D+(2*E+x.width)+\"V-\"+(E+x.height/2)+\"H\"+D+S+\"V-\"+S+\"Z\"),K.minY=m-(E+x.height/2),K.maxY=m+(E+x.height/2),\"right\"===I.side?(K.minX=y+S,K.maxX=y+S+(2*E+x.width)):(K.minX=y-S-(2*E+x.width),K.maxX=y-S);var R,B=x.height/2,N=j-x.top-B,U=\"clip\"+i._uid+\"commonlabel\"+I._id;if(y<x.width+2*E+S){R=\"M-\"+(S+E)+\"-\"+B+\"h-\"+(x.width-E)+\"V\"+B+\"h\"+(x.width-E)+\"Z\";var V=x.width-y+E;f.positionText(s,V,N),\"end\"===O&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=G(r,e.node());Math.round(i.width)<Math.round(x.width)&&t.attr(\"x\",V-i.width),e.remove()}))}else f.positionText(s,z*(E+S),N),R=null;var q=i._topclips.selectAll(\"#\"+U).data(R?[0]:[]);q.enter().append(\"clipPath\").attr(\"id\",U).append(\"path\"),q.exit().remove(),q.select(\"path\").attr(\"d\",R),p.setClipUrl(s,R?U:null,r)}t.attr(\"transform\",l(y,m))})),m.isUnifiedHover(a)){h.selectAll(\"g.hovertext\").remove();var J=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===J.length)return[];var $=i.hoverlabel,Q=$.font,tt={showlegend:!0,legend:{title:{text:F,font:Q},font:Q,bgcolor:$.bgcolor,bordercolor:$.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},et={font:Q};b(tt,et,r._fullData);var rt=et.legend;rt.entries=[];for(var nt=0;nt<J.length;nt++){var it=J[nt];if(\"none\"!==it.hoverinfo){var at=D(it,!0,a,i,F),ot=at[0],st=at[1];it.name=st,it.text=\"\"!==st?st+\" : \"+ot:ot;var lt=it.cd[it.index];lt&&(lt.mc&&(it.mc=lt.mc),lt.mcc&&(it.mc=lt.mcc),lt.mlc&&(it.mlc=lt.mlc),lt.mlcc&&(it.mlc=lt.mlcc),lt.mlw&&(it.mlw=lt.mlw),lt.mrc&&(it.mrc=lt.mrc),lt.dir&&(it.dir=lt.dir)),it._distinct=!0,rt.entries.push([it])}}rt.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),rt.layer=h,rt._inHover=!0,rt._groupTitleFont=$.grouptitlefont,_(r,rt);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function N(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.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=v),-1!==w.indexOf(\"across\")){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:\"component\",name:\"fx\",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),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 e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var 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O=S,I=E;S=k?i.constrain(S,0,d.width-h._width):O,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==O&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var z=h._effHeight;T&&(z=h._height),U.attr({width:h._width-_,height:z-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:z-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=Z)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,Z=function(t,e,r){var n=(e-r)/X+t;return i.constrain(n,0,Y)}(F,D,R),$(Z,B,X))}));q.call(J)}function $(e,r,n){h._scrollY=t._fullLayout[w]._scrollY=e,u.setTranslate(q,0,-e),u.setRect(G,h._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",_+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(){var t=u.getTranslate(N);m=t.x,x=t.y},moveFn:function(t,r){var n=m+t,i=x+r;u.setTranslate(N,n,i),e=l.align(n,h._width,b.l,b.l+b.w,h.xanchor),c=l.align(i+h._height,-h._height,b.t+b.h,b.t,h.yanchor)},doneFn:function(){if(void 0!==e&&void 0!==c){var r={};r[w+\".x\"]=e,r[w+\".y\"]=c,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==u&&h(r,t,n))}function M(t,e,r){var n,a,s=O(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.indentation+r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return t}function E(t,e,r){var a,o=e._context.doubleClickDelay,s=1,l=i.ensureSingle(t,\"rect\",r+\"toggle\",(function(t){e._context.staticPlot||t.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),t.call(c.fill,\"rgba(0,0,0,0)\")}));e._context.staticPlot||(l.on(\"mousedown\",(function(){(a=(new Date).getTime())-e._legendMouseDownTime<o?s+=1:(s=1,e._legendMouseDownTime=a)})),l.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var i=e._fullLayout[r];(new Date).getTime()-e._legendMouseDownTime>o&&(s=Math.max(s-1,1)),A(e,i,t,s,n.event)}})))}function L(t,e,r,n,i){n._inHover&&t.attr(\"data-notex\",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(r._inHover||!i||i.trace.showlegend){var a=t.select(\"g[class*=math-group]\"),o=a.node(),s=O(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function P(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function O(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,z=k&&k.length,D=[];if(z)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&D.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(z)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var 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r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+\".\"+d+\".showspikes\";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if(\"zoom\"===i){var f=c.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,u+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function y(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function m(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c=\"in\"===r?1.05*u:u/1.05;o[l+\".zoom\"]=c}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}c.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return u(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(u(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(u(t,\"IE only supports svg.  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u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw 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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\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(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))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=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 h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(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(c(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(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=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,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===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 P=[],O=[],I=[],z=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||y?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var 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!==O.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!==u.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(I)),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),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.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 ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),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 u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===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 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n=r(25376),i=r(22548),a=(0,r(31780).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\"});t.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\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return\"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],P=l._rl[1],O=P-C;if(l.p2d=function(t){return t/l._width*O+C},l.d2p=function(t){return(t-C)/O*l._width},r.rangebreaks){var I=r.locateBreaks(C,P);if(I.length){var z,D,R=0;for(z=0;z<I.length;z++)R+=(D=I[z]).max-D.min;var F=l._width/(P-C-R),B=[-F*C];for(z=0;z<I.length;z++)D=I[z],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},74224:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},23640:function(t,e,r){\"use strict\";var n=r(9856).readPaths,i=r(55496),a=r(1936).clearOutlineControllers,o=r(76308),s=r(43616),l=r(31780).arrayEditor,u=r(65152),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,P=r(73696),O=r(39172).redrawReglTraces,I=r(83280),z=I.MINSELECT,D=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var 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if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){\"use strict\";var 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n=r(3400),i=r(54460),a=r(72736),o=r(43616),s=r(9856).readPaths,l=r(65152),u=l.getPathString,c=r(97728),f=r(84284).FROM_TL;t.exports=function(t,e,r,h){if(h.selectAll(\".shape-label\").remove(),r.label.text||r.label.texttemplate){var p;if(r.label.texttemplate){var d={};if(\"path\"!==r.type){var v=i.getFromId(t,r.xref),g=i.getFromId(t,r.yref);for(var y in c){var m=c[y](r,v,g);void 0!==m&&(d[y]=m)}}p=n.texttemplateStringForShapes(r.label.texttemplate,{},t._fullLayout._d3locale,d)}else p=r.label.text;var x,b,_,w,T={\"data-index\":e},k=r.label.font,A=h.append(\"g\").attr(T).classed(\"shape-label\",!0).append(\"text\").attr({\"data-notex\":1}).classed(\"shape-label-text\",!0).text(p);if(r.path){var M=u(t,r),S=s(M,t);x=1/0,_=1/0,b=-1/0,w=-1/0;for(var E=0;E<S.length;E++)for(var L=0;L<S[E].length;L++)for(var C=S[E][L],P=1;P<C.length;P+=2){var O=C[P],I=C[P+1];x=Math.min(x,O),b=Math.max(b,O),_=Math.min(_,I),w=Math.max(w,I)}}else{var 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n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],z=n[s][2],D=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(z=v(y.yaxis,z),D=v(y.yaxis,D),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(z+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-D+R-z)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},89861:function(t,e,r){\"use strict\";var n=r(25376),i=r(66741),a=r(92880).extendDeepAll,o=r(67824).overrideAll,s=r(85656),l=r(31780).templatedArray,u=r(60876),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,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:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},60876:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},79664:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=s.strTranslate,u=r(72736),c=r(31780).arrayEditor,f=r(60876),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.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*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-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})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(u.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var 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q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function W(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=D(K,y),at=D(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),q(t),Gt(),H(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=K,Pt.yaxes=J,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function qt(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(J)):r=r.concat(K)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Wt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Wt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Zt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Zt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,m=Yt(a,d,g)),m>1&&(void 0!==a.maxallowed&&st===(a.range[0]<a.range[1]?\"e\":\"w\")||void 0!==a.minallowed&&st===(a.range[0]<a.range[1]?\"w\":\"e\"))&&(m=1,b=0),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/O._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Yt(o,d,g)),x>1&&(void 0!==o.maxallowed&&lt===(o.range[0]<o.range[1]?\"n\":\"s\")||void 0!==o.minallowed&&lt===(o.range[0]<o.range[1]?\"s\":\"n\"))&&(x=1,T=0),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++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\"),p=0,d=a.on;function y(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,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){\"use strict\";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e,r){var i,a=[],o=[];if(!(i=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[a,t];for(var s=r,l=0;l<t.length;l++){var u=t[l],c=u[0].trace,f=void 0!==c.zorder;!0===c.visible&&0!==c._length&&(!c._module||c._module.plot!==i||f&&c.zorder!==s?o.push(u):a.push(u))}return[a,o]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.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),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.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,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.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),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);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,u,c,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;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"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||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(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=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).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=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=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 u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),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 u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}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 u=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])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+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 v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],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()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).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\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(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=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!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=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!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,u),!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],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var 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t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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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)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},52094:function(t){\"use strict\";t.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}},64859:function(t,e,r){\"use strict\";var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*D);var 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p=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var y=E.findPolygonOffset(v,L[0],L[1],C);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":Y.clickFn=st,u||(Y.moveFn=C?it:rt,Y.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=c._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),W=g.makeCorners(h,T,k),w(c)}());break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},y.init(Y)},N.updateRadialDrag=function(t,e,r){var i=this,u=i.gd,c=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,v=i.radialAxis,m=S.radialDragBoxSize,x=m/2;if(v.visible){var b,_,T,M=R(i.radialAxisAngle),E=v._rl,L=E[0],C=E[1],P=E[r],O=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var I,z,D,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,z=null,D=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==z?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function u(t){return c(o?r:n,+t,!0).text}var f,h,p=i.textinfo,d=t[e],v=p.split(\"+\"),g=[],y=function(t){return-1!==v.indexOf(t)};if(y(\"label\")&&g.push((h=t[e].p,c(o?n:r,h,!0).text)),y(\"text\")&&(0===(f=a.castOption(i,d.i,\"text\"))||f)&&g.push(f),s){var m=+d.rawS||d.s,x=d.v,b=x-m;y(\"initial\")&&g.push(u(b)),y(\"delta\")&&g.push(u(m)),y(\"final\")&&g.push(u(x))}if(l){y(\"value\")&&g.push(u(d.s));var _=0;y(\"percent initial\")&&_++,y(\"percent previous\")&&_++,y(\"percent total\")&&_++;var w=_>1;y(\"percent initial\")&&(f=a.formatPercent(d.begR),w&&(f+=\" of initial\"),g.push(f)),y(\"percent previous\")&&(f=a.formatPercent(d.difR),w&&(f+=\" of previous\"),g.push(f)),y(\"percent total\")&&(f=a.formatPercent(d.sumR),w&&(f+=\" of total\"),g.push(f))}return g.join(\"<br>\")}(e,r,n,i):v.getValue(s.text,r),v.coerceString(m,o)}(I,n,i,S,O);k=function(t,e){var r=v.getValue(t.textposition,e);return v.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),W=d.getOutsideTextFont(D,i,q),Y=D.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===O.type&&X.s0<=0&&(f=O.range[0]<O.range[1]?O._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=z(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=z(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):P(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===D.type?\"bar\":D.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,O,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:P}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),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(u,n(\"\",{colorAttr:\"u/v/w 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O=C.selectAll(\"text\").data(P);function I(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)}}O.enter().append(\"text\"),O.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),O.exit().remove();var z,D=v.mode+v.align;if(v._hasDelta&&(z=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.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 W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(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 y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.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 l(r)&&void 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p={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:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=c.selectAll(\"g.trace.parcats\").data(o,p),m=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),m.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return 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z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).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){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.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){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.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\")})),h.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 v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(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=m(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 c.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 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var 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,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&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 u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?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}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.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\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.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=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,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 v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={weight:l.font.weight,style:l.font.style,variant:l.font.variant,family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={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 u=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*u,a.offset=2*l*n,e(a),l*n+u<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 v(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,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return o.extendFlat({key:f,resolution:[x,b],viewBoxPos:[s+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:s+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-s+y:u+.5)+(n===e?s+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,l,g,b,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];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[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._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),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.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=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+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:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u}}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 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m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(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 u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(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((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).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,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),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:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,n=z(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var P=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-P/2,A.nodes[w].y1=C[1]+P/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(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:c.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 O(t){return t.link.width>1||t.linkLineWidth>0}function I(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 o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(52904),s=r(45464),l=r(49084),u=r(98192).u,c=r(92880).extendFlat,f=r(67824).overrideAll,h=o.marker,p=o.line,d=h.line;t.exports=f({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,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else 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 u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),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),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(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=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);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.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=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:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,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}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var z=x.c2p(y._yStarts[a]),D=x.c2p(y._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[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-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,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.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})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.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,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.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 v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.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}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,P=L.t,O=P.index,I=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=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(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={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(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=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=O(C(A[1])),V=O(C(A[3])),q=O(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 H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&z[H]*V<z[W]*V&&D[H]*q<D[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,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}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.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,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!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(),c?(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&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.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),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(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:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},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},56576:function(t,e,r){\"use strict\";var n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).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++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(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 u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,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=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(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,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,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=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var 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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]=m[e],p.highlightColor[e]=w.contourColor[e]=c(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]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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m=\"contours.\"+y[c],x=h(m+\".show\"),b=h(m+\".highlight\");if(x||b)for(f=0;f<3;++f)h(m+\".project.\"+y[f]);x&&(h(m+\".color\"),h(m+\".width\"),h(m+\".usecolormap\")),b&&(h(m+\".highlightcolor\"),h(m+\".highlightwidth\")),h(m+\".start\"),h(m+\".end\"),h(m+\".size\")}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,u,h,{prefix:\"\",cLetter:\"c\"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){\"use strict\";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:r(56576),plot:r(79164),moduleType:\"trace\",name:\"surface\",basePlotModule:r(12536),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}},60520:function(t,e,r){\"use strict\";var n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.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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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},55992:function(t,e,r){\"use strict\";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>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],O=8191&P,I=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,Y)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(D,K)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var zt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=zt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),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):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=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,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[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),v(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 u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<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 u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,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),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=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},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}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 u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.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 f=c.prototype;function h(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 p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"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}),f.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(f,\"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}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.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(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),l(\"labelFontStyle\")&&(v=!0),l(\"labelFontWeight\")&&(v=!0),l(\"labelFontVariant\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var g=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],y=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,g,this.ticks,y):this._text=n(this.gl,this.bounds,this.labels,g,this.ticks,y),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,z=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,z,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,z=(A+1+(1^O))%3,this.zeroEnable[z]&&Math.min(a[0][z],a[1][z])<=0&&Math.max(a[0][z],a[1][z])>=0&&this._lines.drawZero(I,z,this.bounds,P,this.zeroLineColor[z],this.zeroLineWidth[z]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];D[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[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=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],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=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,z=d([l[I],l[P],l[O],l[I+(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||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=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],u[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],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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 v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,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,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,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 c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,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 c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;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()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.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]))},f.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]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(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=m?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 O=d(g,c,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(O[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=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,u=0;u<3;++u)s[u]=o[u]=r[u];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 c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(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 c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],P=v[x],O=n.length(P)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vertexIntensity.push(O,O,O),a.vertexIntensity.push(O,O,O);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),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,u,c){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=u,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=c,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;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=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[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)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}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 u={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};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(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 v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(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,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(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(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.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])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(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 c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[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],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,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,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/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 v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var z,D;l?(z=m*(r[I]-u),D=m*(r[I+1]-u)):(z=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),D=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[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*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,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)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;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.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*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 c(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=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],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,O=t.cellUVs,I=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!O)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(I)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[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||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-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[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-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[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),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=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[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]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(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()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(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),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,z,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=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,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[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,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&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,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[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/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*O,D=6*Math.max(0,I-O),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*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/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],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[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,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=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]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,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],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(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}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.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 u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[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 c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[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 v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[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)}},u.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()}},u.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),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.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()},u.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())},u.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()},u.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=c(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=c(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=c(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=c(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=c(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=c(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\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=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}),c=[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:u,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:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.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,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(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&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.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))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,z={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:D,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:z,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;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,D);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 U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._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&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,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),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();z.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,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/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(z))}i.end()}}}()),F.axesPixels=a(F.axes,z,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(z)),S.axes=A,x.object&&S.draw(z),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(z),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=D,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(z),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(z);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(z),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(z)}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,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[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),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var z=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,I));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=O,O=I,I=R;var F=C;C=P,P=F}z[0]<0&&(O[C]=-1),D[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting 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* cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=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,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=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<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[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=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),z=C;O.push(I);var D=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(z,N)-A>-1e-4*A&&(P.push(N),z=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[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;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  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 — 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\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;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 u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},z=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=z;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<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=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}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=A[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=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.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 u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,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,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),z=Math.min(z,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),D=Math.max(D,K),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],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 J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],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,O=T*L,I=T*E,z=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(z)||isNaN(D)){m&&(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)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,W),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?On(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(On)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?On(Cn(t[1],t.slice(2))):\"has\"===r?Pn(t[1]):\"!has\"===r?On(Pn(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Pn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function On(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):zn(t)}function zn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(zn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new zt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Pi=function(){return Mi},Oi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},zi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};zi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},zi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var Di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(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=ue.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 Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.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 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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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}($i);Ma.prototype.size=48;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 Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,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(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification[\"property-type\"],f=\"cross-faded\"===c||\"cross-faded-data-driven\"===c;if(\"constant\"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||f){var h=ho(i,l,\"source\");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push(\"/a_\"+i)}else{var p=ho(i,l,\"composite\");this.binders[i]=new so(s,o,l,u,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.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 u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.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,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.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,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.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(),u=Ys.types[this.type];function c(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];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(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=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].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&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[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];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(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}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=zo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=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 i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,z=new a((k+s)/L,(A+l)/L);z.z=E/L,y.push(z);var D=new a(C/I,P/I);D.z=O/I,m.push(D)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(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],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(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),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;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 cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.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)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,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,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),z=1;z<I;z++){var D=z/I;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(D)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,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,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(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,u=0,c=t;u<c.length;u+=1)for(var f=c[u],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 f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.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*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.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)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=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,O=null,I=null,z=Ll,D=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:D?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),z=P.advance;var B=D?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}D?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=z*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!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}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(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 Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=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 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(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=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function zu(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:z,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(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 ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,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*u,16*c,256*f,256*h)}function lc(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 uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.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 he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new zi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,z=k.sections;I<z.length;I+=1){var D=z[I];if(D.image)f[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,O,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 u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.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 v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.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))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.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},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.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 u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=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,O=b.sectionIndex,I=d.vertexLength,z=C[1];sc(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(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),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.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))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.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,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);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)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.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))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.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)},hc.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},hc.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})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.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},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}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()||cn(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 hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.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 he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=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}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.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 Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?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},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.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)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=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()})};Lc.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))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Pc(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]}Cc.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=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.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)}},Cc.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(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(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?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Oc=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]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof zc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(zc.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 zc(e.lng,e.lat),this._ne=new zc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new zc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new zc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new zc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=zc.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},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,zc=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\")};zc.prototype.wrap=function(){return new zc(h(this.lng,-180,180),this.lat)},zc.prototype.toArray=function(){return[this.lng,this.lat]},zc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},zc.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 Ic*Math.acos(Math.min(i,1))},zc.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 Oc(new zc(this.lng-r,this.lat-e),new zc(this.lng+r,this.lat+e))},zc.convert=function(t){if(t instanceof zc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new zc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new zc(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 Dc=2*Math.PI*Ic;function Rc(t){return Dc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=zc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new zc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Dc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(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)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(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)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.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},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(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 Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.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))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.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])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.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)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=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}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=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},Zc={geometry:{configurable:!0}};Zc.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},Zc.geometry.set=function(t){this._geometry=t},Xc.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(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.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}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(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 tf(t,e){return e-t}Jc.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 u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){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),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new zi(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new zi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.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},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),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\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.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 hc){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 hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.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\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.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 Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new zi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new zi(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.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)},ef.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)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.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},ef.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 rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=zi,t.Event=zt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=zc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=Da,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,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=lc,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=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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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++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(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=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(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 kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(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 g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<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){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(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,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}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 c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!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 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,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{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=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;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]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.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=\"-transition\",T=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,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<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 u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=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}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;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 u=i-r,c=a-n,f=Math.max(u,c),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,O.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 z=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,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:z,image:I,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(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 u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.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()},Pt.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},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.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},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.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)},Pt.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))},Pt.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)},Pt.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)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).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(It).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(zt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].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,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;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)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(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(zt(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 It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function zt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(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 Xt(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 Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.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},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var z=0,D=v;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;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 u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+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},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.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,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var z=C.map((function(t){return re(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;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.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 u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}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 v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.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])},ve.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])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=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:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=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=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,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:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,z=0,D=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=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&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);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,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||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?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(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,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var 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},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=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)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(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)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=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(m){var T=ze(y.text),k=_?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?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=ze(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:De;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?De:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var z=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var D=!0;if(u){var R=i.variableOffsets[v];R?(z=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||_,z.x,z.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?z.x:0,h?z.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function ze(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);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 Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];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 v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];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 u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[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]||[],u=n[a];u.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 c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],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 Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.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);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#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;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"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);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.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=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},zr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=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:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(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 Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,zr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<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],O=E.circleArray[C+1],I=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,O,I,z,0),k.emplace(A++,P,O,I,z,1),k.emplace(A++,P,O,I,z,2),k.emplace(A++,P,O,I,z,3)}(!Kr||Kr.length<2*h)&&(Kr=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(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var z=0;z<O.numGlyphs;z++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,z=y||0!==v.pitch,D=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=z||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||z?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);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(v));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(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(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,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,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)&&un(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)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.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,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([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 u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,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){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var z=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=b.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;z=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:z,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(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 Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,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),m.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-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.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,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.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,Xe.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,O.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,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],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=c[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,c[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!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.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 Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.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 u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=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};Cn.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},Cn.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)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=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 Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={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}};Pn.prototype.clone=function(){var t=new Pn(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},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.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))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.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())},On.fov.get=function(){return this._fov/Math.PI*180},On.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())},On.zoom.get=function(){return this._zoom},On.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())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.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)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.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)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.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())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.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])},Pn.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)))},Pn.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},Pn.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])},Pn.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]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.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<u.x?u.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=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.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},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.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 u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.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(Pn.prototype,On);var In=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})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.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(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),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+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.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(\"/\")},In.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},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var zn={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},zn),Rn=t.extend({deceleration:20,maxSpeed:1400},zn),Fn=t.extend({deceleration:1e3,maxSpeed:360},zn),Bn=t.extend({deceleration:1e3,maxSpeed:90},zn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(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 Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.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\"}}},Yn.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)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.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},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.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=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.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 Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(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}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}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.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,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.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})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=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,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.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)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,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(),u=\"zoom\"in e?+e.zoom:a,c=\"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),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},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))/_,I=function(){return 0},O=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/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.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},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.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}},Li.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 Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.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)}},Ci.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},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,zi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Pn(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 Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ii))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(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 Ye(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 Oi||zi&&r instanceof zi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,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,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Oi||zi&&r instanceof zi?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 Oi||zi&&r instanceof zi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}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)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!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&&Zi)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 Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({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\":Xi--,Zi=!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\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.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},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&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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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=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);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.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}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var z=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=D.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else P[2*I+1]=.5*P[2*I];I++}this.textWidth.push(P.length?.5*P[2*I-2]+P[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.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),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],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,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=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(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(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 c=[];function f(t){var e=[u(t.region,!1)];c.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 u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}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 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.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)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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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}}},11403:function(t){t.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},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(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===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(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}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var 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]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return 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vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"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=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],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(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=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=h(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=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(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=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({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 u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),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])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=v[4*D],E[8*z+1]=v[4*D+1],E[8*z+2]=v[4*D+2],E[8*z+3]=v[4*D+3];var R=O[z];E[8*z+4]=v[4*R],E[8*z+5]=v[4*R+1],E[8*z+6]=v[4*R+2],E[8*z+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(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[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(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}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(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]}t.exports=c,c.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)},c.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,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.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 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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(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],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 v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;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:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},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],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-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},c.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 u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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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},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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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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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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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},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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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},73040:function(t,e,r){var n=r(38700),i=r(50896);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 u=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(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,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 u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.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,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.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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n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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Density by Date\"},\"boxmode\":\"group\"},                        {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('df8efe0e-8c90-4d64-828f-2bbbb8f51c31');\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": [
+    "# Show more detail by using a box plot\n",
+    "# make sure values are floats\n",
+    "df[\"value\"] = df[\"value\"].astype(float)\n",
+    "\n",
+    "# make Make a box plot\n",
+    "fig = px.box(df, x='date', y='value', notched=True, title='Pit Density by Date')\n",
+    "fig.update_traces(hoverinfo='y+name')\n",
+    "fig.update_layout(template='plotly_dark')\n",
+    "\n",
+    "# alternative matplotlib code\n",
+    "# df.boxplot(by='date', column='value')\n",
+    "# plt.title('Density Distribution for Banner by Date')\n",
+    "# plt.suptitle('')  # Suppress the automatic title\n",
+    "# plt.xlabel('Date')\n",
+    "# plt.ylabel('Value')\n",
+    "# plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": "3.9.18"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

From 2eee3fff28a38ff44584d471278f73019d3de1aa Mon Sep 17 00:00:00 2001
From: Micah Sandusky <micc5725@gmail.com>
Date: Mon, 17 Jun 2024 16:15:43 -0600
Subject: [PATCH 03/21] add toc entries

---
 book/_toc.yml | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/book/_toc.yml b/book/_toc.yml
index 1edd86b..af9fde9 100644
--- a/book/_toc.yml
+++ b/book/_toc.yml
@@ -21,6 +21,17 @@ parts:
     - file: tutorials/index
       sections:
         - file: tutorials/example/tutorial-notebook
+        - file: tutorials/snowex_database/index
+          title: Introduction to the SnowEx Database
+          sections:
+            - file: tutorials/snowex_database/1_getting_started_example
+            - file: tutorials/snowex_database/2_database_structure
+            - file: tutorials/snowex_database/3_forming_queries
+            - file: tutorials/snowex_database/4_get_spiral_example
+            - file: tutorials/snowex_database/5_plot_raster_example
+            - file: tutorials/snowex_database/6_exporting_data
+            - file: tutorials/snowex_database/7_bonus_challenge
+            - file: tutorials/snowex_database/8_wrap_up
 - caption: Projects
   chapters:
     - file: projects/list_of_projects

From 014c08d0cc3f126ea01b1ab8897c7ae320f6bfcc Mon Sep 17 00:00:00 2001
From: Micah Sandusky <micc5725@gmail.com>
Date: Tue, 18 Jun 2024 10:55:56 -0600
Subject: [PATCH 04/21] Add snowexsql dependency

---
 conda/environment.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/conda/environment.yml b/conda/environment.yml
index b35b149..d97432f 100644
--- a/conda/environment.yml
+++ b/conda/environment.yml
@@ -24,6 +24,7 @@ dependencies:
   - pymdown-extensions>=7.1
   - pip:
     - jinja-markdown==1.210911
+    - snowexsql==0.4.1
 platforms:
   - linux-64
   - osx-64

From 3d83eb4c1c093b72046c4f2423116eb89a7456f2 Mon Sep 17 00:00:00 2001
From: Micah Sandusky <micc5725@gmail.com>
Date: Tue, 18 Jun 2024 14:18:05 -0600
Subject: [PATCH 05/21] clear cell outputs

---
 .../1_getting_started_example.ipynb           |    2 +-
 .../2_database_structure.ipynb                |    2 +-
 .../snowex_database/3_forming_queries.ipynb   |    2 +-
 .../4_get_spiral_example.ipynb                |    2 +-
 .../5_plot_raster_example.ipynb               |    2 +-
 .../snowex_database/6_exporting_data.ipynb    |    2 +-
 .../snowex_database/7_bonus_challenge.ipynb   |    2 +-
 .../tutorials/snowex_database/8_wrap_up.ipynb |    2 +-
 .../snowex_database/api_intro_example.ipynb   | 1225 +------
 .../api_plot_pit_density_example.ipynb        | 2839 +----------------
 10 files changed, 43 insertions(+), 4037 deletions(-)

diff --git a/book/tutorials/snowex_database/1_getting_started_example.ipynb b/book/tutorials/snowex_database/1_getting_started_example.ipynb
index fe2ecb9..4f57c0c 100644
--- a/book/tutorials/snowex_database/1_getting_started_example.ipynb
+++ b/book/tutorials/snowex_database/1_getting_started_example.ipynb
@@ -228,7 +228,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index 48d5420..42d7fa5 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -193,7 +193,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
index 7eb5f14..b0dba69 100644
--- a/book/tutorials/snowex_database/3_forming_queries.ipynb
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -225,7 +225,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/4_get_spiral_example.ipynb b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
index a8711cb..1fc1e03 100644
--- a/book/tutorials/snowex_database/4_get_spiral_example.ipynb
+++ b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
@@ -186,7 +186,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
index 2836bed..a73be11 100644
--- a/book/tutorials/snowex_database/5_plot_raster_example.ipynb
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -276,7 +276,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/6_exporting_data.ipynb b/book/tutorials/snowex_database/6_exporting_data.ipynb
index 7c4c116..dc74c95 100644
--- a/book/tutorials/snowex_database/6_exporting_data.ipynb
+++ b/book/tutorials/snowex_database/6_exporting_data.ipynb
@@ -121,7 +121,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/7_bonus_challenge.ipynb b/book/tutorials/snowex_database/7_bonus_challenge.ipynb
index 9d0b5b7..c6de56c 100644
--- a/book/tutorials/snowex_database/7_bonus_challenge.ipynb
+++ b/book/tutorials/snowex_database/7_bonus_challenge.ipynb
@@ -214,7 +214,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/8_wrap_up.ipynb b/book/tutorials/snowex_database/8_wrap_up.ipynb
index 291c394..a66f049 100644
--- a/book/tutorials/snowex_database/8_wrap_up.ipynb
+++ b/book/tutorials/snowex_database/8_wrap_up.ipynb
@@ -48,7 +48,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.4"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/api_intro_example.ipynb b/book/tutorials/snowex_database/api_intro_example.ipynb
index 79cf441..ceca8d3 100644
--- a/book/tutorials/snowex_database/api_intro_example.ipynb
+++ b/book/tutorials/snowex_database/api_intro_example.ipynb
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -37,216 +37,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>site_name</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>...</th>\n",
-       "      <th>northing</th>\n",
-       "      <th>easting</th>\n",
-       "      <th>elevation</th>\n",
-       "      <th>utm_zone</th>\n",
-       "      <th>geom</th>\n",
-       "      <th>time</th>\n",
-       "      <th>site_id</th>\n",
-       "      <th>version_number</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-05-28</td>\n",
-       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>42443</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>camera</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.321444e+06</td>\n",
-       "      <td>743766.479497</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743766.479 4321444.155)</td>\n",
-       "      <td>18:00:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>camera id = W1B</td>\n",
-       "      <td>-2.99924</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-05-28</td>\n",
-       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>42444</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>camera</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.321444e+06</td>\n",
-       "      <td>743766.479497</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743766.479 4321444.155)</td>\n",
-       "      <td>19:00:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>camera id = W1B</td>\n",
-       "      <td>1.50148</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-05-28</td>\n",
-       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>43187</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>camera</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.331951e+06</td>\n",
-       "      <td>249164.808618</td>\n",
-       "      <td>None</td>\n",
-       "      <td>13</td>\n",
-       "      <td>POINT (249164.809 4331951.003)</td>\n",
-       "      <td>18:00:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>camera id = E9B</td>\n",
-       "      <td>-1.15255</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-05-28</td>\n",
-       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>43188</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>camera</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.331951e+06</td>\n",
-       "      <td>249164.808618</td>\n",
-       "      <td>None</td>\n",
-       "      <td>13</td>\n",
-       "      <td>POINT (249164.809 4331951.003)</td>\n",
-       "      <td>19:00:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>camera id = E9B</td>\n",
-       "      <td>1.16381</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-05-28</td>\n",
-       "      <td>2022-06-30 22:58:59.800562+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>43189</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>camera</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.331951e+06</td>\n",
-       "      <td>249164.808618</td>\n",
-       "      <td>None</td>\n",
-       "      <td>13</td>\n",
-       "      <td>POINT (249164.809 4331951.003)</td>\n",
-       "      <td>20:00:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>camera id = E9B</td>\n",
-       "      <td>-2.31073</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    site_name        date                     time_created time_updated  \\\n",
-       "0  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
-       "1  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
-       "2  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
-       "3  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
-       "4  Grand Mesa  2020-05-28 2022-06-30 22:58:59.800562+00:00         None   \n",
-       "\n",
-       "      id   doi date_accessed instrument   type units  ...      northing  \\\n",
-       "0  42443  None    2022-06-30     camera  depth    cm  ...  4.321444e+06   \n",
-       "1  42444  None    2022-06-30     camera  depth    cm  ...  4.321444e+06   \n",
-       "2  43187  None    2022-06-30     camera  depth    cm  ...  4.331951e+06   \n",
-       "3  43188  None    2022-06-30     camera  depth    cm  ...  4.331951e+06   \n",
-       "4  43189  None    2022-06-30     camera  depth    cm  ...  4.331951e+06   \n",
-       "\n",
-       "         easting  elevation  utm_zone                            geom  \\\n",
-       "0  743766.479497       None        12  POINT (743766.479 4321444.155)   \n",
-       "1  743766.479497       None        12  POINT (743766.479 4321444.155)   \n",
-       "2  249164.808618       None        13  POINT (249164.809 4331951.003)   \n",
-       "3  249164.808618       None        13  POINT (249164.809 4331951.003)   \n",
-       "4  249164.808618       None        13  POINT (249164.809 4331951.003)   \n",
-       "\n",
-       "             time  site_id version_number        equipment    value  \n",
-       "0  18:00:00+00:00     None           None  camera id = W1B -2.99924  \n",
-       "1  19:00:00+00:00     None           None  camera id = W1B  1.50148  \n",
-       "2  18:00:00+00:00     None           None  camera id = E9B -1.15255  \n",
-       "3  19:00:00+00:00     None           None  camera id = E9B  1.16381  \n",
-       "4  20:00:00+00:00     None           None  camera id = E9B -2.31073  \n",
-       "\n",
-       "[5 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# The main functions we will use are `from_area` and `from_filter` like this\n",
     "df = PointMeasurements.from_filter(\n",
@@ -274,18 +67,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "['site_name', 'site_id', 'date', 'instrument', 'observers', 'type', 'utm_zone']\n",
-      "['site_name', 'site_id', 'date', 'instrument', 'observers', 'type', 'utm_zone', 'pit_id']\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Find what you can filter by\n",
     "print(PointMeasurements.ALLOWED_QRY_KWARGS)\n",
@@ -301,17 +85,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[('Catherine Breen, Cassie Lumbrazo',), (None,), ('Ryan Webb',), ('Randall Bonnell',), ('Tate Meehan',)]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(PointMeasurements().all_observers)"
    ]
@@ -346,184 +122,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
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-       "&lt;script&gt;    \n",
-       "    \n",
-       "            var map_3a9251b48d62d9b74b01e948b9297502 = L.map(\n",
-       "                &quot;map_3a9251b48d62d9b74b01e948b9297502&quot;,\n",
-       "                {\n",
-       "                    center: [39.05581950181641, -110.9933604999928],\n",
-       "                    crs: L.CRS.EPSG3857,\n",
-       "                    zoom: 10,\n",
-       "                    zoomControl: true,\n",
-       "                    preferCanvas: false,\n",
-       "                }\n",
-       "            );\n",
-       "            L.control.scale().addTo(map_3a9251b48d62d9b74b01e948b9297502);\n",
-       "\n",
-       "            \n",
-       "\n",
-       "        \n",
-       "    \n",
-       "            var tile_layer_68d49b641b5f9ba3d9729ba810266af3 = L.tileLayer(\n",
-       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
-       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
-       "            ).addTo(map_3a9251b48d62d9b74b01e948b9297502);\n",
-       "        \n",
-       "    \n",
-       "            map_3a9251b48d62d9b74b01e948b9297502.fitBounds(\n",
-       "                [[39.00807800180927, -113.93509700051011], [39.10356100182355, -108.05162399947551]],\n",
-       "                {}\n",
-       "            );\n",
-       "        \n",
-       "    \n",
-       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_styler(feature) {\n",
-       "            switch(feature.id) {\n",
-       "                default:\n",
-       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
-       "            }\n",
-       "        }\n",
-       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_highlighter(feature) {\n",
-       "            switch(feature.id) {\n",
-       "                default:\n",
-       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
-       "            }\n",
-       "        }\n",
-       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_pointToLayer(feature, latlng) {\n",
-       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
-       "            \n",
-       "            let style = geo_json_15760ad3b71b9184149d8591fb8481bc_styler(feature)\n",
-       "            Object.assign(opts, style)\n",
-       "            \n",
-       "            return new L.CircleMarker(latlng, opts)\n",
-       "        }\n",
-       "\n",
-       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_onEachFeature(feature, layer) {\n",
-       "            layer.on({\n",
-       "                mouseout: function(e) {\n",
-       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
-       "                        geo_json_15760ad3b71b9184149d8591fb8481bc.resetStyle(e.target);\n",
-       "                    }\n",
-       "                },\n",
-       "                mouseover: function(e) {\n",
-       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
-       "                        const highlightStyle = geo_json_15760ad3b71b9184149d8591fb8481bc_highlighter(e.target.feature)\n",
-       "                        e.target.setStyle(highlightStyle);\n",
-       "                    }\n",
-       "                },\n",
-       "            });\n",
-       "        };\n",
-       "        var geo_json_15760ad3b71b9184149d8591fb8481bc = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_15760ad3b71b9184149d8591fb8481bc_onEachFeature,\n",
-       "            \n",
-       "                style: geo_json_15760ad3b71b9184149d8591fb8481bc_styler,\n",
-       "                pointToLayer: geo_json_15760ad3b71b9184149d8591fb8481bc_pointToLayer\n",
-       "        });\n",
-       "\n",
-       "        function geo_json_15760ad3b71b9184149d8591fb8481bc_add (data) {\n",
-       "            geo_json_15760ad3b71b9184149d8591fb8481bc\n",
-       "                .addData(data)\n",
-       "                .addTo(map_3a9251b48d62d9b74b01e948b9297502);\n",
-       "        }\n",
-       "            geo_json_15760ad3b71b9184149d8591fb8481bc_add({&quot;bbox&quot;: [-113.93509700051011, 39.00807800180927, -108.05162399947551, 39.10356100182355], &quot;features&quot;: [{&quot;bbox&quot;: [-108.184793999604, 39.00807800180927, -108.184793999604, 39.00807800180927], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.184793999604, 39.00807800180927], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;id&quot;: 42443, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.99924}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.184793999604, 39.00807800180927, -108.184793999604, 39.00807800180927], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.184793999604, 39.00807800180927], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;1&quot;, &quot;properties&quot;: {&quot;id&quot;: 42444, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.50148}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.90061400047448, 39.100639001822664, -113.90061400047448, 39.100639001822664], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.90061400047448, 39.100639001822664], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;2&quot;, &quot;properties&quot;: {&quot;id&quot;: 43187, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -1.15255}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.90061400047448, 39.100639001822664, -113.90061400047448, 39.100639001822664], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.90061400047448, 39.100639001822664], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;3&quot;, &quot;properties&quot;: {&quot;id&quot;: 43188, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.16381}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.90061400047448, 39.100639001822664, -113.90061400047448, 39.100639001822664], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.90061400047448, 39.100639001822664], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;4&quot;, &quot;properties&quot;: {&quot;id&quot;: 43189, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.31073}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.89370200046763, 39.09896200182252, -113.89370200046763, 39.09896200182252], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.89370200046763, 39.09896200182252], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;5&quot;, &quot;properties&quot;: {&quot;id&quot;: 44623, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 6.34059}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.89370200046763, 39.09896200182252, -113.89370200046763, 39.09896200182252], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.89370200046763, 39.09896200182252], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;6&quot;, &quot;properties&quot;: {&quot;id&quot;: 44624, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 4.53243}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.89370200046763, 39.09896200182252, -113.89370200046763, 39.09896200182252], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.89370200046763, 39.09896200182252], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;7&quot;, &quot;properties&quot;: {&quot;id&quot;: 44625, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 6.34059}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.8776890004521, 39.07402800181878, -113.8776890004521, 39.07402800181878], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.8776890004521, 39.07402800181878], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;8&quot;, &quot;properties&quot;: {&quot;id&quot;: 45374, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 4.0905}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.8776890004521, 39.07402800181878, -113.8776890004521, 39.07402800181878], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.8776890004521, 39.07402800181878], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;9&quot;, &quot;properties&quot;: {&quot;id&quot;: 45375, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.8145}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.8776890004521, 39.07402800181878, -113.8776890004521, 39.07402800181878], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.8776890004521, 39.07402800181878], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;10&quot;, &quot;properties&quot;: {&quot;id&quot;: 45376, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.6335}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.93509700051011, 39.03827000181175, -113.93509700051011, 39.03827000181175], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.93509700051011, 39.03827000181175], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;11&quot;, &quot;properties&quot;: {&quot;id&quot;: 45885, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.86934}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.93509700051011, 39.03827000181175, -113.93509700051011, 39.03827000181175], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.93509700051011, 39.03827000181175], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;12&quot;, &quot;properties&quot;: {&quot;id&quot;: 45886, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.00138}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.88074200045503, 39.10356100182355, -113.88074200045503, 39.10356100182355], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.88074200045503, 39.10356100182355], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;13&quot;, &quot;properties&quot;: {&quot;id&quot;: 46742, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.45605}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.88074200045503, 39.10356100182355, -113.88074200045503, 39.10356100182355], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.88074200045503, 39.10356100182355], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;14&quot;, &quot;properties&quot;: {&quot;id&quot;: 46743, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.47949}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.88074200045503, 39.10356100182355, -113.88074200045503, 39.10356100182355], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.88074200045503, 39.10356100182355], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;15&quot;, &quot;properties&quot;: {&quot;id&quot;: 46744, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 2.43261}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18016699960005, 39.03136600181295, -108.18016699960005, 39.03136600181295], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18016699960005, 39.03136600181295], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;16&quot;, &quot;properties&quot;: {&quot;id&quot;: 47268, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 4.77013}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18016699960005, 39.03136600181295, -108.18016699960005, 39.03136600181295], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18016699960005, 39.03136600181295], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;17&quot;, &quot;properties&quot;: {&quot;id&quot;: 47269, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 3.71229}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16068899958319, 39.033751001813, -108.16068899958319, 39.033751001813], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16068899958319, 39.033751001813], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;18&quot;, &quot;properties&quot;: {&quot;id&quot;: 47761, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.0413}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16068899958319, 39.033751001813, -108.16068899958319, 39.033751001813], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16068899958319, 39.033751001813], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;19&quot;, &quot;properties&quot;: {&quot;id&quot;: 47762, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.5169}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.15568599957875, 39.03647600181334, -108.15568599957875, 39.03647600181334], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.15568599957875, 39.03647600181334], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;20&quot;, &quot;properties&quot;: {&quot;id&quot;: 48265, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.03202}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.15568599957875, 39.03647600181334, -108.15568599957875, 39.03647600181334], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.15568599957875, 39.03647600181334], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;21&quot;, &quot;properties&quot;: {&quot;id&quot;: 48266, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.01138}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17106899959226, 39.02441600181166, -108.17106899959226, 39.02441600181166], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17106899959226, 39.02441600181166], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;22&quot;, &quot;properties&quot;: {&quot;id&quot;: 48761, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.660713}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17106899959226, 39.02441600181166, -108.17106899959226, 39.02441600181166], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17106899959226, 39.02441600181166], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;23&quot;, &quot;properties&quot;: {&quot;id&quot;: 48762, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 3.322509}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18699399960583, 39.01320800181013, -108.18699399960583, 39.01320800181013], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18699399960583, 39.01320800181013], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;24&quot;, &quot;properties&quot;: {&quot;id&quot;: 49224, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -0.7648}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18699399960583, 39.01320800181013, -108.18699399960583, 39.01320800181013], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18699399960583, 39.01320800181013], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;25&quot;, &quot;properties&quot;: {&quot;id&quot;: 49225, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.0224}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16583599958773, 39.01774400181048, -108.16583599958773, 39.01774400181048], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16583599958773, 39.01774400181048], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;26&quot;, &quot;properties&quot;: {&quot;id&quot;: 49709, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.54838}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16583599958773, 39.01774400181048, -108.16583599958773, 39.01774400181048], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16583599958773, 39.01774400181048], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;27&quot;, &quot;properties&quot;: {&quot;id&quot;: 49710, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -0.51018}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16968799959108, 39.01634200181033, -108.16968799959108, 39.01634200181033], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16968799959108, 39.01634200181033], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;28&quot;, &quot;properties&quot;: {&quot;id&quot;: 50305, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -6.26935}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16968799959108, 39.01634200181033, -108.16968799959108, 39.01634200181033], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16968799959108, 39.01634200181033], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;29&quot;, &quot;properties&quot;: {&quot;id&quot;: 50306, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.50831}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17416699959495, 39.012837001809835, -108.17416699959495, 39.012837001809835], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17416699959495, 39.012837001809835], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;30&quot;, &quot;properties&quot;: {&quot;id&quot;: 50817, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 3.71546}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17416699959495, 39.012837001809835, -108.17416699959495, 39.012837001809835], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17416699959495, 39.012837001809835], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;31&quot;, &quot;properties&quot;: {&quot;id&quot;: 50818, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 5.94434}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.05162399947551, 39.05059900181346, -108.05162399947551, 39.05059900181346], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.05162399947551, 39.05059900181346], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;32&quot;, &quot;properties&quot;: {&quot;id&quot;: 51309, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.65799}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.05162399947551, 39.05059900181346, -108.05162399947551, 39.05059900181346], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.05162399947551, 39.05059900181346], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;33&quot;, &quot;properties&quot;: {&quot;id&quot;: 51310, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.65799}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16185099958419, 39.036208001813414, -108.16185099958419, 39.036208001813414], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16185099958419, 39.036208001813414], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;34&quot;, &quot;properties&quot;: {&quot;id&quot;: 51821, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -0.46125}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.16185099958419, 39.036208001813414, -108.16185099958419, 39.036208001813414], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.16185099958419, 39.036208001813414], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;35&quot;, &quot;properties&quot;: {&quot;id&quot;: 51822, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.32189}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17614999959667, 39.012393001809805, -108.17614999959667, 39.012393001809805], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17614999959667, 39.012393001809805], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;36&quot;, &quot;properties&quot;: {&quot;id&quot;: 52333, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.13537}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17614999959667, 39.012393001809805, -108.17614999959667, 39.012393001809805], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17614999959667, 39.012393001809805], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;37&quot;, &quot;properties&quot;: {&quot;id&quot;: 52334, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.66709}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.87666200045112, 39.05988100181651, -113.87666200045112, 39.05988100181651], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.87666200045112, 39.05988100181651], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;38&quot;, &quot;properties&quot;: {&quot;id&quot;: 53062, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 27.98692}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.87666200045112, 39.05988100181651, -113.87666200045112, 39.05988100181651], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.87666200045112, 39.05988100181651], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;39&quot;, &quot;properties&quot;: {&quot;id&quot;: 53063, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 25.24212}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-113.87666200045112, 39.05988100181651, -113.87666200045112, 39.05988100181651], &quot;geometry&quot;: {&quot;coordinates&quot;: [-113.87666200045112, 39.05988100181651], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;40&quot;, &quot;properties&quot;: {&quot;id&quot;: 53064, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 26.34004}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.20853599962348, 39.0138230018106, -108.20853599962348, 39.0138230018106], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.20853599962348, 39.0138230018106], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;41&quot;, &quot;properties&quot;: {&quot;id&quot;: 53556, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -5.53901}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.20853599962348, 39.0138230018106, -108.20853599962348, 39.0138230018106], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.20853599962348, 39.0138230018106], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;42&quot;, &quot;properties&quot;: {&quot;id&quot;: 53557, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -7.20377}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18487999960406, 39.01723600181073, -108.18487999960406, 39.01723600181073], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18487999960406, 39.01723600181073], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;43&quot;, &quot;properties&quot;: {&quot;id&quot;: 54045, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.20116}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.18487999960406, 39.01723600181073, -108.18487999960406, 39.01723600181073], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.18487999960406, 39.01723600181073], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;44&quot;, &quot;properties&quot;: {&quot;id&quot;: 54046, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 1.20116}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.0539959994781, 39.03380600181078, -108.0539959994781, 39.03380600181078], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.0539959994781, 39.03380600181078], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;45&quot;, &quot;properties&quot;: {&quot;id&quot;: 54694, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: 0.00055}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.0539959994781, 39.03380600181078, -108.0539959994781, 39.03380600181078], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.0539959994781, 39.03380600181078], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;46&quot;, &quot;properties&quot;: {&quot;id&quot;: 54695, &quot;instrument&quot;: &quot;camera&quot;, &quot;type&quot;: &quot;depth&quot;, &quot;value&quot;: -2.23925}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
-       "\n",
-       "        \n",
-       "    \n",
-       "    geo_json_15760ad3b71b9184149d8591fb8481bc.bindTooltip(\n",
-       "    function(layer){\n",
-       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
-       "    \n",
-       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
-       "    let fields = [&quot;id&quot;, &quot;value&quot;, &quot;type&quot;, &quot;instrument&quot;];\n",
-       "    let aliases = [&quot;id&quot;, &quot;value&quot;, &quot;type&quot;, &quot;instrument&quot;];\n",
-       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
-       "        String(\n",
-       "        fields.map(\n",
-       "        (v,i)=&gt;\n",
-       "        `&lt;tr&gt;\n",
-       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
-       "            \n",
-       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
-       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
-       "    +&#x27;&lt;/table&gt;&#x27;;\n",
-       "    div.innerHTML=table;\n",
-       "    \n",
-       "    return div\n",
-       "    }\n",
-       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
-       "                     \n",
-       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
-      ],
-      "text/plain": [
-       "<folium.folium.Map at 0x12adea2e0>"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Explore the points\n",
     "df.crs\n",
@@ -543,169 +144,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
-       "&lt;head&gt;    \n",
-       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
-       "    \n",
-       "        &lt;script&gt;\n",
-       "            L_NO_TOUCH = false;\n",
-       "            L_DISABLE_3D = false;\n",
-       "        &lt;/script&gt;\n",
-       "    \n",
-       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
-       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
-       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
-       "    \n",
-       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
-       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
-       "            &lt;style&gt;\n",
-       "                #map_29ec93ad23976a3d7e16d98315cde87f {\n",
-       "                    position: relative;\n",
-       "                    width: 100.0%;\n",
-       "                    height: 100.0%;\n",
-       "                    left: 0.0%;\n",
-       "                    top: 0.0%;\n",
-       "                }\n",
-       "            &lt;/style&gt;\n",
-       "        \n",
-       "    \n",
-       "                    &lt;style&gt;\n",
-       "                        .foliumtooltip {\n",
-       "                            \n",
-       "                        }\n",
-       "                       .foliumtooltip table{\n",
-       "                            margin: auto;\n",
-       "                        }\n",
-       "                        .foliumtooltip tr{\n",
-       "                            text-align: left;\n",
-       "                        }\n",
-       "                        .foliumtooltip th{\n",
-       "                            padding: 2px; padding-right: 8px;\n",
-       "                        }\n",
-       "                    &lt;/style&gt;\n",
-       "            \n",
-       "&lt;/head&gt;\n",
-       "&lt;body&gt;    \n",
-       "    \n",
-       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_29ec93ad23976a3d7e16d98315cde87f&quot; &gt;&lt;/div&gt;\n",
-       "        \n",
-       "&lt;/body&gt;\n",
-       "&lt;script&gt;    \n",
-       "    \n",
-       "            var map_29ec93ad23976a3d7e16d98315cde87f = L.map(\n",
-       "                &quot;map_29ec93ad23976a3d7e16d98315cde87f&quot;,\n",
-       "                {\n",
-       "                    center: [39.00807796845697, -108.18479431908649],\n",
-       "                    crs: L.CRS.EPSG3857,\n",
-       "                    zoom: 10,\n",
-       "                    zoomControl: true,\n",
-       "                    preferCanvas: false,\n",
-       "                }\n",
-       "            );\n",
-       "            L.control.scale().addTo(map_29ec93ad23976a3d7e16d98315cde87f);\n",
-       "\n",
-       "            \n",
-       "\n",
-       "        \n",
-       "    \n",
-       "            var tile_layer_6b7b5733854c23a204b17441168c6485 = L.tileLayer(\n",
-       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
-       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
-       "            ).addTo(map_29ec93ad23976a3d7e16d98315cde87f);\n",
-       "        \n",
-       "    \n",
-       "            map_29ec93ad23976a3d7e16d98315cde87f.fitBounds(\n",
-       "                [[38.99007708332257, -108.20786588627712], [39.02607885359138, -108.16172275189587]],\n",
-       "                {}\n",
-       "            );\n",
-       "        \n",
-       "    \n",
-       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_styler(feature) {\n",
-       "            switch(feature.id) {\n",
-       "                default:\n",
-       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
-       "            }\n",
-       "        }\n",
-       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_highlighter(feature) {\n",
-       "            switch(feature.id) {\n",
-       "                default:\n",
-       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
-       "            }\n",
-       "        }\n",
-       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_pointToLayer(feature, latlng) {\n",
-       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
-       "            \n",
-       "            let style = geo_json_dcc8fac2394355231e3135e70ee59e20_styler(feature)\n",
-       "            Object.assign(opts, style)\n",
-       "            \n",
-       "            return new L.CircleMarker(latlng, opts)\n",
-       "        }\n",
-       "\n",
-       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_onEachFeature(feature, layer) {\n",
-       "            layer.on({\n",
-       "                mouseout: function(e) {\n",
-       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
-       "                        geo_json_dcc8fac2394355231e3135e70ee59e20.resetStyle(e.target);\n",
-       "                    }\n",
-       "                },\n",
-       "                mouseover: function(e) {\n",
-       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
-       "                        const highlightStyle = geo_json_dcc8fac2394355231e3135e70ee59e20_highlighter(e.target.feature)\n",
-       "                        e.target.setStyle(highlightStyle);\n",
-       "                    }\n",
-       "                },\n",
-       "            });\n",
-       "        };\n",
-       "        var geo_json_dcc8fac2394355231e3135e70ee59e20 = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_dcc8fac2394355231e3135e70ee59e20_onEachFeature,\n",
-       "            \n",
-       "                style: geo_json_dcc8fac2394355231e3135e70ee59e20_styler,\n",
-       "                pointToLayer: geo_json_dcc8fac2394355231e3135e70ee59e20_pointToLayer\n",
-       "        });\n",
-       "\n",
-       "        function geo_json_dcc8fac2394355231e3135e70ee59e20_add (data) {\n",
-       "            geo_json_dcc8fac2394355231e3135e70ee59e20\n",
-       "                .addData(data)\n",
-       "                .addTo(map_29ec93ad23976a3d7e16d98315cde87f);\n",
-       "        }\n",
-       "            geo_json_dcc8fac2394355231e3135e70ee59e20_add({&quot;bbox&quot;: [-108.20786588627712, 38.99007708332257, -108.16172275189587, 39.02607885359138], &quot;features&quot;: [{&quot;bbox&quot;: [-108.20786588627712, 38.99007708332257, -108.16172275189587, 39.02607885359138], &quot;geometry&quot;: {&quot;coordinates&quot;: [[[-108.16172275189587, 39.007518562463886], [-108.16190440552192, 39.00575690645403], [-108.16230647297913, 39.00401762342162], [-108.1629250669144, 39.00231746080634], [-108.16375421627264, 39.00067278822613], [-108.16478592432547, 38.999099439978195], [-108.16601024612761, 38.997612562730545], [-108.16741538463852, 38.99622646986419], [-108.16898780456965, 38.99495450386016], [-108.17071236285271, 38.993808908048145], [-108.1725724544674, 38.99280070894205], [-108.17455017222501, 38.99193961028659], [-108.17662647897413, 38.991233899826085], [-108.17878139057935, 38.990690369684735], [-108.1809941679251, 38.990314251117894], [-108.1832435161126, 38.990109164256324], [-108.18550778895178, 38.99007708332257], [-108.18776519680218, 38.99021831765186], [-108.18999401578385, 38.990531508698304], [-108.19217279636918, 38.991013643056434], [-108.19428056936937, 38.99166008137474], [-108.19629704735492, 38.99246460288679], [-108.1982028195902, 38.99341946513713], [-108.19997953862173, 38.99451547833315], [-108.20161009673684, 38.99574209361579], [-108.20307879060199, 38.99708750440715], [-108.20437147250043, 38.99853875986867], [-108.20547568671188, 39.00008188938678], [-108.20638078971638, 39.00170203689568], [-108.2070780530549, 39.003383603753], [-108.20756074784259, 39.00511039879912], [-108.20782421010355, 39.00686579416188], [-108.20786588627712, 39.0086328853107], [-108.20768535843527, 39.01039465382214], [-108.20728434894399, 39.01213413129025], [-108.20666670449931, 39.013834562803375], [-108.20583835966795, 39.015479568409944], [-108.2048072802608, 39.01705330101476], [-108.20358338706458, 39.01854059917919], [-108.20217846064881, 39.01992713334664], [-108.20060602815124, 39.021199544077106], [-108.19888123312313, 39.022345570950336], [-108.1970206896827, 39.02335417088697], [-108.19504232238208, 39.024215624738595], [-108.19296519333423, 39.02492163111092], [-108.19080931827506, 39.02546538650798], [-108.1885954733451, 39.02584165101798], [-108.18634499446986, 39.02604679890166], [-108.18407957129106, 39.02607885359138], [-108.18182103765616, 39.0259375067605], [-108.17959116070834, 39.02562412127826], [-108.17741143063228, 39.025141718022205], [-108.1753028531052, 39.02449494667744], [-108.1732857464741, 39.023690040808404], [-108.17137954563312, 39.02273475764124], [-108.16960261450674, 39.02163830314409], [-108.1679720689584, 39.02041124313501], [-108.16650361183862, 39.019065401282475], [-108.16521138176616, 39.01761374499047], [-108.16410781709786, 39.01607026027629], [-108.16320353639209, 39.01444981685567], [-108.16250723650742, 39.01276802474271], [-108.16202560930368, 39.01104108375351], [-108.16176327773017, 39.00928562736869], [-108.16172275189587, 39.007518562463886]]], &quot;type&quot;: &quot;Polygon&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
-       "\n",
-       "        \n",
-       "    \n",
-       "    geo_json_dcc8fac2394355231e3135e70ee59e20.bindTooltip(\n",
-       "    function(layer){\n",
-       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
-       "    \n",
-       "    return div\n",
-       "    }\n",
-       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
-       "                     \n",
-       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
-      ],
-      "text/plain": [
-       "<folium.folium.Map at 0x129d15670>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Set up a fake shapefile\n",
     "gdf = gpd.GeoDataFrame(\n",
@@ -720,184 +161,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
-       "&lt;head&gt;    \n",
-       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
-       "    \n",
-       "        &lt;script&gt;\n",
-       "            L_NO_TOUCH = false;\n",
-       "            L_DISABLE_3D = false;\n",
-       "        &lt;/script&gt;\n",
-       "    \n",
-       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
-       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
-       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
-       "    \n",
-       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
-       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
-       "            &lt;style&gt;\n",
-       "                #map_88df4d937ac551efa48b350667b5fe8c {\n",
-       "                    position: relative;\n",
-       "                    width: 100.0%;\n",
-       "                    height: 100.0%;\n",
-       "                    left: 0.0%;\n",
-       "                    top: 0.0%;\n",
-       "                }\n",
-       "            &lt;/style&gt;\n",
-       "        \n",
-       "    \n",
-       "                    &lt;style&gt;\n",
-       "                        .foliumtooltip {\n",
-       "                            \n",
-       "                        }\n",
-       "                       .foliumtooltip table{\n",
-       "                            margin: auto;\n",
-       "                        }\n",
-       "                        .foliumtooltip tr{\n",
-       "                            text-align: left;\n",
-       "                        }\n",
-       "                        .foliumtooltip th{\n",
-       "                            padding: 2px; padding-right: 8px;\n",
-       "                        }\n",
-       "                    &lt;/style&gt;\n",
-       "            \n",
-       "&lt;/head&gt;\n",
-       "&lt;body&gt;    \n",
-       "    \n",
-       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_88df4d937ac551efa48b350667b5fe8c&quot; &gt;&lt;/div&gt;\n",
-       "        \n",
-       "&lt;/body&gt;\n",
-       "&lt;script&gt;    \n",
-       "    \n",
-       "            var map_88df4d937ac551efa48b350667b5fe8c = L.map(\n",
-       "                &quot;map_88df4d937ac551efa48b350667b5fe8c&quot;,\n",
-       "                {\n",
-       "                    center: [39.019086985706465, -108.18322615723488],\n",
-       "                    crs: L.CRS.EPSG3857,\n",
-       "                    zoom: 10,\n",
-       "                    zoomControl: true,\n",
-       "                    preferCanvas: false,\n",
-       "                }\n",
-       "            );\n",
-       "            L.control.scale().addTo(map_88df4d937ac551efa48b350667b5fe8c);\n",
-       "\n",
-       "            \n",
-       "\n",
-       "        \n",
-       "    \n",
-       "            var tile_layer_07c545da8a58b6ec54f42ceee0c641cb = L.tileLayer(\n",
-       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
-       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
-       "            ).addTo(map_88df4d937ac551efa48b350667b5fe8c);\n",
-       "        \n",
-       "    \n",
-       "            map_88df4d937ac551efa48b350667b5fe8c.fitBounds(\n",
-       "                [[39.016246311278394, -108.2012916073982], [39.02192766013454, -108.16516070707156]],\n",
-       "                {}\n",
-       "            );\n",
-       "        \n",
-       "    \n",
-       "        function geo_json_a09288256aee697846cf85f4ae151762_styler(feature) {\n",
-       "            switch(feature.id) {\n",
-       "                default:\n",
-       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
-       "            }\n",
-       "        }\n",
-       "        function geo_json_a09288256aee697846cf85f4ae151762_highlighter(feature) {\n",
-       "            switch(feature.id) {\n",
-       "                default:\n",
-       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
-       "            }\n",
-       "        }\n",
-       "        function geo_json_a09288256aee697846cf85f4ae151762_pointToLayer(feature, latlng) {\n",
-       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
-       "            \n",
-       "            let style = geo_json_a09288256aee697846cf85f4ae151762_styler(feature)\n",
-       "            Object.assign(opts, style)\n",
-       "            \n",
-       "            return new L.CircleMarker(latlng, opts)\n",
-       "        }\n",
-       "\n",
-       "        function geo_json_a09288256aee697846cf85f4ae151762_onEachFeature(feature, layer) {\n",
-       "            layer.on({\n",
-       "                mouseout: function(e) {\n",
-       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
-       "                        geo_json_a09288256aee697846cf85f4ae151762.resetStyle(e.target);\n",
-       "                    }\n",
-       "                },\n",
-       "                mouseover: function(e) {\n",
-       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
-       "                        const highlightStyle = geo_json_a09288256aee697846cf85f4ae151762_highlighter(e.target.feature)\n",
-       "                        e.target.setStyle(highlightStyle);\n",
-       "                    }\n",
-       "                },\n",
-       "            });\n",
-       "        };\n",
-       "        var geo_json_a09288256aee697846cf85f4ae151762 = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_a09288256aee697846cf85f4ae151762_onEachFeature,\n",
-       "            \n",
-       "                style: geo_json_a09288256aee697846cf85f4ae151762_styler,\n",
-       "                pointToLayer: geo_json_a09288256aee697846cf85f4ae151762_pointToLayer\n",
-       "        });\n",
-       "\n",
-       "        function geo_json_a09288256aee697846cf85f4ae151762_add (data) {\n",
-       "            geo_json_a09288256aee697846cf85f4ae151762\n",
-       "                .addData(data)\n",
-       "                .addTo(map_88df4d937ac551efa48b350667b5fe8c);\n",
-       "        }\n",
-       "            geo_json_a09288256aee697846cf85f4ae151762_add({&quot;bbox&quot;: [-108.2012916073982, 39.016246311278394, -108.16516070707156, 39.02192766013454], &quot;features&quot;: [{&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;depth&quot;: 108.0, &quot;id&quot;: 50, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;206.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;1&quot;, &quot;properties&quot;: {&quot;depth&quot;: 98.0, &quot;id&quot;: 51, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;232.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;2&quot;, &quot;properties&quot;: {&quot;depth&quot;: 88.0, &quot;id&quot;: 52, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;312.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;3&quot;, &quot;properties&quot;: {&quot;depth&quot;: 78.0, &quot;id&quot;: 53, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;287.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;4&quot;, &quot;properties&quot;: {&quot;depth&quot;: 68.0, &quot;id&quot;: 54, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;275.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;5&quot;, &quot;properties&quot;: {&quot;depth&quot;: 58.0, &quot;id&quot;: 55, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;284.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;6&quot;, &quot;properties&quot;: {&quot;depth&quot;: 48.0, &quot;id&quot;: 56, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;272.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;7&quot;, &quot;properties&quot;: {&quot;depth&quot;: 38.0, &quot;id&quot;: 57, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;342.3333333333333&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.1986242487668, 39.01911256584031, -108.1986242487668, 39.01911256584031], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.1986242487668, 39.01911256584031], 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&quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;442&quot;, &quot;properties&quot;: {&quot;depth&quot;: 75.0, &quot;id&quot;: 12517, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;367.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;443&quot;, &quot;properties&quot;: {&quot;depth&quot;: 65.0, &quot;id&quot;: 12518, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;268.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;444&quot;, &quot;properties&quot;: {&quot;depth&quot;: 55.0, &quot;id&quot;: 12519, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;274.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;445&quot;, &quot;properties&quot;: {&quot;depth&quot;: 45.0, &quot;id&quot;: 12520, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;280.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;446&quot;, &quot;properties&quot;: {&quot;depth&quot;: 35.0, &quot;id&quot;: 12521, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;257.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;447&quot;, &quot;properties&quot;: {&quot;depth&quot;: 25.0, &quot;id&quot;: 12522, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;251.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.19778752456678, 39.01866001884477, -108.19778752456678, 39.01866001884477], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.19778752456678, 39.01866001884477], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;448&quot;, &quot;properties&quot;: {&quot;depth&quot;: 15.0, &quot;id&quot;: 12523, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;270.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;449&quot;, &quot;properties&quot;: {&quot;depth&quot;: 80.0, &quot;id&quot;: 10498, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;277.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;450&quot;, &quot;properties&quot;: {&quot;depth&quot;: 70.0, &quot;id&quot;: 10499, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;270.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;451&quot;, &quot;properties&quot;: {&quot;depth&quot;: 60.0, &quot;id&quot;: 10500, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;272.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;452&quot;, &quot;properties&quot;: {&quot;depth&quot;: 50.0, &quot;id&quot;: 10501, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;263.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;453&quot;, &quot;properties&quot;: {&quot;depth&quot;: 40.0, &quot;id&quot;: 10502, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;308.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;454&quot;, &quot;properties&quot;: {&quot;depth&quot;: 30.0, &quot;id&quot;: 10503, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;308.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;455&quot;, &quot;properties&quot;: {&quot;depth&quot;: 20.0, &quot;id&quot;: 10504, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;300.5&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-108.17517111980818, 39.01934837377831, -108.17517111980818, 39.01934837377831], &quot;geometry&quot;: {&quot;coordinates&quot;: [-108.17517111980818, 39.01934837377831], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;456&quot;, &quot;properties&quot;: {&quot;depth&quot;: 10.0, &quot;id&quot;: 10505, &quot;type&quot;: &quot;density&quot;, &quot;value&quot;: &quot;301.0&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
-       "\n",
-       "        \n",
-       "    \n",
-       "    geo_json_a09288256aee697846cf85f4ae151762.bindTooltip(\n",
-       "    function(layer){\n",
-       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
-       "    \n",
-       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
-       "    let fields = [&quot;id&quot;, &quot;depth&quot;, &quot;value&quot;, &quot;type&quot;];\n",
-       "    let aliases = [&quot;id&quot;, &quot;depth&quot;, &quot;value&quot;, &quot;type&quot;];\n",
-       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
-       "        String(\n",
-       "        fields.map(\n",
-       "        (v,i)=&gt;\n",
-       "        `&lt;tr&gt;\n",
-       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
-       "            \n",
-       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
-       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
-       "    +&#x27;&lt;/table&gt;&#x27;;\n",
-       "    div.innerHTML=table;\n",
-       "    \n",
-       "    return div\n",
-       "    }\n",
-       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
-       "                     \n",
-       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
-      ],
-      "text/plain": [
-       "<folium.folium.Map at 0x129ce1ee0>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Get density near the point\n",
     "df = LayerMeasurements.from_area(\n",
@@ -926,37 +192,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {
     "tags": [
      "nbsphinx-gallery",
      "nbsphinx-thumbnail"
     ]
    },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Failed query for PointData\n"
-     ]
-    },
-    {
-     "ename": "LargeQueryCheckException",
-     "evalue": "Query will return 33364 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mLargeQueryCheckException\u001b[0m                  Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/jh/tvv3prb117d22jyn0vmbjn880000gn/T/ipykernel_51325/2889856166.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# This query will fail\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m df = PointMeasurements.from_filter(\n\u001b[0m\u001b[1;32m      3\u001b[0m     \u001b[0minstrument\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"magnaprobe\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m )\n",
-      "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36mfrom_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    186\u001b[0m                 \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    187\u001b[0m                 \u001b[0mLOG\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Failed query for PointData\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 188\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    190\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36mfrom_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    181\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    182\u001b[0m                 \u001b[0mqry\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msession\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mquery\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMODEL\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 183\u001b[0;31m                 \u001b[0mqry\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mextend_qry\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    184\u001b[0m                 \u001b[0mdf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mquery_to_geopandas\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    185\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36mextend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    111\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcheck_size\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 113\u001b[0;31m             \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_check_size\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mqry\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mqry\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/projects/m3works/snowexsql/snowexsql/api.py\u001b[0m in \u001b[0;36m_check_size\u001b[0;34m(cls, qry, kwargs)\u001b[0m\n\u001b[1;32m     69\u001b[0m         \u001b[0mcount\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mqry\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcount\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mMAX_RECORD_COUNT\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;34m\"limit\"\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 71\u001b[0;31m             raise LargeQueryCheckException(\n\u001b[0m\u001b[1;32m     72\u001b[0m                 \u001b[0;34mf\"Query will return {count} number of records,\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     73\u001b[0m                 \u001b[0;34mf\" but we have a default max of {cls.MAX_RECORD_COUNT}.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mLargeQueryCheckException\u001b[0m: Query will return 33364 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records."
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# This query will fail\n",
     "df = PointMeasurements.from_filter(\n",
@@ -966,223 +209,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>site_name</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>...</th>\n",
-       "      <th>northing</th>\n",
-       "      <th>easting</th>\n",
-       "      <th>elevation</th>\n",
-       "      <th>utm_zone</th>\n",
-       "      <th>geom</th>\n",
-       "      <th>time</th>\n",
-       "      <th>site_id</th>\n",
-       "      <th>version_number</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-29</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8713</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.322865e+06</td>\n",
-       "      <td>741881.102466</td>\n",
-       "      <td>3037.8</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (741881.102 4322865.037)</td>\n",
-       "      <td>14:56:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>85.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-29</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8714</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.322859e+06</td>\n",
-       "      <td>741878.675380</td>\n",
-       "      <td>3038.0</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (741878.675 4322859.408)</td>\n",
-       "      <td>14:57:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>72.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-29</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8715</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.322855e+06</td>\n",
-       "      <td>741877.080058</td>\n",
-       "      <td>3037.1</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (741877.080 4322854.914)</td>\n",
-       "      <td>14:57:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>84.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-29</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8716</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.322850e+06</td>\n",
-       "      <td>741875.484733</td>\n",
-       "      <td>3035.5</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (741875.485 4322850.421)</td>\n",
-       "      <td>14:57:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>84.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-29</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8717</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.322845e+06</td>\n",
-       "      <td>741873.923512</td>\n",
-       "      <td>3034.6</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (741873.924 4322844.818)</td>\n",
-       "      <td>14:57:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>78.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    site_name        date                     time_created time_updated    id  \\\n",
-       "0  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8713   \n",
-       "1  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8714   \n",
-       "2  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8715   \n",
-       "3  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8716   \n",
-       "4  Grand Mesa  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  8717   \n",
-       "\n",
-       "                                    doi date_accessed  instrument   type  \\\n",
-       "0  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "1  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "2  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "3  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "4  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "\n",
-       "  units  ...      northing        easting  elevation  utm_zone  \\\n",
-       "0    cm  ...  4.322865e+06  741881.102466     3037.8        12   \n",
-       "1    cm  ...  4.322859e+06  741878.675380     3038.0        12   \n",
-       "2    cm  ...  4.322855e+06  741877.080058     3037.1        12   \n",
-       "3    cm  ...  4.322850e+06  741875.484733     3035.5        12   \n",
-       "4    cm  ...  4.322845e+06  741873.923512     3034.6        12   \n",
-       "\n",
-       "                             geom            time  site_id version_number  \\\n",
-       "0  POINT (741881.102 4322865.037)  14:56:00+00:00     None              1   \n",
-       "1  POINT (741878.675 4322859.408)  14:57:00+00:00     None              1   \n",
-       "2  POINT (741877.080 4322854.914)  14:57:00+00:00     None              1   \n",
-       "3  POINT (741875.485 4322850.421)  14:57:00+00:00     None              1   \n",
-       "4  POINT (741873.924 4322844.818)  14:57:00+00:00     None              1   \n",
-       "\n",
-       "  equipment value  \n",
-       "0   CRREL_C  85.0  \n",
-       "1   CRREL_C  72.0  \n",
-       "2   CRREL_C  84.0  \n",
-       "3   CRREL_C  84.0  \n",
-       "4   CRREL_C  78.0  \n",
-       "\n",
-       "[5 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Th queries will pass\n",
     "df = PointMeasurements.from_filter(\n",
@@ -1205,223 +234,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
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-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>site_name</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
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-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>...</th>\n",
-       "      <th>northing</th>\n",
-       "      <th>easting</th>\n",
-       "      <th>elevation</th>\n",
-       "      <th>utm_zone</th>\n",
-       "      <th>geom</th>\n",
-       "      <th>time</th>\n",
-       "      <th>site_id</th>\n",
-       "      <th>version_number</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4663</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.323938e+06</td>\n",
-       "      <td>747760.127417</td>\n",
-       "      <td>3143.9</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (747760.127 4323937.874)</td>\n",
-       "      <td>20:22:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>64.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4102</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.324060e+06</td>\n",
-       "      <td>747975.533229</td>\n",
-       "      <td>3151.8</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (747975.533 4324060.214)</td>\n",
-       "      <td>18:48:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>106.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4103</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.324058e+06</td>\n",
-       "      <td>747973.005869</td>\n",
-       "      <td>3153.8</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (747973.006 4324057.912)</td>\n",
-       "      <td>18:48:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>110.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4104</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.324057e+06</td>\n",
-       "      <td>747973.040848</td>\n",
-       "      <td>3153.5</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (747973.041 4324056.802)</td>\n",
-       "      <td>18:48:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>106.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Grand Mesa</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4105</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>...</td>\n",
-       "      <td>4.324055e+06</td>\n",
-       "      <td>747972.245032</td>\n",
-       "      <td>3154.0</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (747972.245 4324054.555)</td>\n",
-       "      <td>18:48:00+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>107.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    site_name        date                     time_created time_updated    id  \\\n",
-       "0  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4663   \n",
-       "1  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4102   \n",
-       "2  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4103   \n",
-       "3  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4104   \n",
-       "4  Grand Mesa  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4105   \n",
-       "\n",
-       "                                    doi date_accessed  instrument   type  \\\n",
-       "0  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "1  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "2  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "3  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "4  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "\n",
-       "  units  ...      northing        easting  elevation  utm_zone  \\\n",
-       "0    cm  ...  4.323938e+06  747760.127417     3143.9        12   \n",
-       "1    cm  ...  4.324060e+06  747975.533229     3151.8        12   \n",
-       "2    cm  ...  4.324058e+06  747973.005869     3153.8        12   \n",
-       "3    cm  ...  4.324057e+06  747973.040848     3153.5        12   \n",
-       "4    cm  ...  4.324055e+06  747972.245032     3154.0        12   \n",
-       "\n",
-       "                             geom            time  site_id version_number  \\\n",
-       "0  POINT (747760.127 4323937.874)  20:22:00+00:00     None              1   \n",
-       "1  POINT (747975.533 4324060.214)  18:48:00+00:00     None              1   \n",
-       "2  POINT (747973.006 4324057.912)  18:48:00+00:00     None              1   \n",
-       "3  POINT (747973.041 4324056.802)  18:48:00+00:00     None              1   \n",
-       "4  POINT (747972.245 4324054.555)  18:48:00+00:00     None              1   \n",
-       "\n",
-       "  equipment  value  \n",
-       "0   CRREL_B   64.0  \n",
-       "1   CRREL_B  106.0  \n",
-       "2   CRREL_B  110.0  \n",
-       "3   CRREL_B  106.0  \n",
-       "4   CRREL_B  107.0  \n",
-       "\n",
-       "[5 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# DANGER ZONE\n",
     "# If you need more than 1000 points returned, you can specify so with the limit\n",
@@ -1466,7 +281,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.12.4"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb b/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb
index 86647af..88b669b 100644
--- a/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb
+++ b/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb
@@ -20,7 +20,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,17 +40,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[('Cameron Pass',), ('Sagehen Creek',), ('Fraser Experimental Forest',), ('Mammoth Lakes',), ('Niwot Ridge',), ('Boise River Basin',), ('Little Cottonwood Canyon',), ('East River',), ('American River Basin',), ('Senator Beck',), ('Jemez River',), ('Grand Mesa',)]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Find site names we can use\n",
     "print(LayerMeasurements().all_site_names)"
@@ -58,184 +50,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "&lt;body&gt;    \n",
-       "    \n",
-       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_6a49ec106fb6c645478abcf3f42e3064&quot; &gt;&lt;/div&gt;\n",
-       "        \n",
-       "&lt;/body&gt;\n",
-       "&lt;script&gt;    \n",
-       "    \n",
-       "            var map_6a49ec106fb6c645478abcf3f42e3064 = L.map(\n",
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-       "            \n",
-       "\n",
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-       "    \n",
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-       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
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-       "    \n",
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-       "                onEachFeature: geo_json_4e8bb1634e7c700b7a86b4632321e862_onEachFeature,\n",
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-       "                .addData(data)\n",
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-       "            geo_json_4e8bb1634e7c700b7a86b4632321e862_add({&quot;bbox&quot;: [-116.12187999996466, 43.73630000273898, -115.23449999991226, 44.30464000287045], &quot;features&quot;: [{&quot;bbox&quot;: [-116.12179999996465, 43.73702000273915, -116.12179999996465, 43.73702000273915], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12179999996465, 43.73702000273915], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12187999996466, 43.73701000273913, -116.12187999996466, 43.73701000273913], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.12187999996466, 43.73701000273913], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;10&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;LDP Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.12187999996466, 43.73705000273919, 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44.30447000287041], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360599999124, 44.30447000287041], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;268&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360299999124, 44.30462000287045, -115.2360299999124, 44.30462000287045], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.30462000287045], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;294&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360299999124, 44.304540002870425, -115.2360299999124, 44.304540002870425], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.304540002870425], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;320&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2359899999124, 44.3044800028704, -115.2359899999124, 44.3044800028704], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2359899999124, 44.3044800028704], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;344&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23606999991239, 44.304430002870404, -115.23606999991239, 44.304430002870404], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23606999991239, 44.304430002870404], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;366&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23454999991228, 44.30366000287022, -115.23454999991228, 44.30366000287022], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23454999991228, 44.30366000287022], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;388&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23455999991226, 44.303650002870235, -115.23455999991226, 44.303650002870235], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23455999991226, 44.303650002870235], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;396&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09013999996323, 43.75876000274412, -116.09013999996323, 43.75876000274412], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09013999996323, 43.75876000274412], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;401&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09018999996327, 43.758790002744135, -116.09018999996327, 43.758790002744135], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09018999996327, 43.758790002744135], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;427&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09024999996326, 43.75882000274413, -116.09024999996326, 43.75882000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09024999996326, 43.75882000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;451&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.6766599999437, 43.947350002787246, -115.6766599999437, 43.947350002787246], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.6766599999437, 43.947350002787246], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;473&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Mores Creek Summit&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23449999991226, 44.303670002870206, -115.23449999991226, 44.303670002870206], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23449999991226, 44.303670002870206], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;586&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2346199999123, 44.303590002870195, -115.2346199999123, 44.303590002870195], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2346199999123, 44.303590002870195], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;608&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23452999991227, 44.3036400028702, -115.23452999991227, 44.3036400028702], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23452999991227, 44.3036400028702], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;634&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23453999991226, 44.30363000287019, -115.23453999991226, 44.30363000287019], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23453999991226, 44.30363000287019], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;660&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23453999991226, 44.3036000028702, -115.23453999991226, 44.3036000028702], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23453999991226, 44.3036000028702], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;686&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2346399999123, 44.303580002870184, -115.2346399999123, 44.303580002870184], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2346399999123, 44.303580002870184], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;714&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2345799999123, 44.303580002870184, -115.2345799999123, 44.303580002870184], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2345799999123, 44.303580002870184], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;740&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23459999991229, 44.303590002870195, -115.23459999991229, 44.303590002870195], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23459999991229, 44.303590002870195], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;764&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Snotel&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09021999996327, 43.75886000274413, -116.09021999996327, 43.75886000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09021999996327, 43.75886000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;790&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09019999996326, 43.75885000274413, -116.09019999996326, 43.75885000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09019999996326, 43.75885000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;800&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09021999996327, 43.75881000274412, -116.09021999996327, 43.75881000274412], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09021999996327, 43.75881000274412], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;814&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09018999996327, 43.75882000274414, -116.09018999996327, 43.75882000274414], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09018999996327, 43.75882000274414], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;834&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09016999996322, 43.75878000274413, -116.09016999996322, 43.75878000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09016999996322, 43.75878000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;852&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09017999996324, 43.75881000274413, -116.09017999996324, 43.75881000274413], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09017999996324, 43.75881000274413], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;874&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09016999996322, 43.75884000274412, -116.09016999996322, 43.75884000274412], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09016999996322, 43.75884000274412], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;904&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-116.09016999996322, 43.758810002744134, -116.09016999996322, 43.758810002744134], &quot;geometry&quot;: {&quot;coordinates&quot;: [-116.09016999996322, 43.758810002744134], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;930&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Bogus Upper&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
-       "\n",
-       "        \n",
-       "    \n",
-       "    geo_json_4e8bb1634e7c700b7a86b4632321e862.bindTooltip(\n",
-       "    function(layer){\n",
-       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
-       "    \n",
-       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
-       "    let fields = [&quot;site_id&quot;];\n",
-       "    let aliases = [&quot;site_id&quot;];\n",
-       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
-       "        String(\n",
-       "        fields.map(\n",
-       "        (v,i)=&gt;\n",
-       "        `&lt;tr&gt;\n",
-       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
-       "            \n",
-       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
-       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
-       "    +&#x27;&lt;/table&gt;&#x27;;\n",
-       "    div.innerHTML=table;\n",
-       "    \n",
-       "    return div\n",
-       "    }\n",
-       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
-       "                     \n",
-       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
-      ],
-      "text/plain": [
-       "<folium.folium.Map at 0x11bf01b20>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Get the first 1000 measurements from the Boise River Basin Site\n",
     "df = LayerMeasurements.from_filter(\n",
@@ -257,189 +74,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {
     "tags": [
      "nbsphinx-gallery",
      "nbsphinx-thumbnail"
     ]
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
-       "&lt;head&gt;    \n",
-       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
-       "    \n",
-       "        &lt;script&gt;\n",
-       "            L_NO_TOUCH = false;\n",
-       "            L_DISABLE_3D = false;\n",
-       "        &lt;/script&gt;\n",
-       "    \n",
-       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
-       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
-       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
-       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
-       "    \n",
-       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
-       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
-       "            &lt;style&gt;\n",
-       "                #map_992b578902d34d79f920397246ff49c1 {\n",
-       "                    position: relative;\n",
-       "                    width: 100.0%;\n",
-       "                    height: 100.0%;\n",
-       "                    left: 0.0%;\n",
-       "                    top: 0.0%;\n",
-       "                }\n",
-       "            &lt;/style&gt;\n",
-       "        \n",
-       "    \n",
-       "                    &lt;style&gt;\n",
-       "                        .foliumtooltip {\n",
-       "                            \n",
-       "                        }\n",
-       "                       .foliumtooltip table{\n",
-       "                            margin: auto;\n",
-       "                        }\n",
-       "                        .foliumtooltip tr{\n",
-       "                            text-align: left;\n",
-       "                        }\n",
-       "                        .foliumtooltip th{\n",
-       "                            padding: 2px; padding-right: 8px;\n",
-       "                        }\n",
-       "                    &lt;/style&gt;\n",
-       "            \n",
-       "&lt;/head&gt;\n",
-       "&lt;body&gt;    \n",
-       "    \n",
-       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_992b578902d34d79f920397246ff49c1&quot; &gt;&lt;/div&gt;\n",
-       "        \n",
-       "&lt;/body&gt;\n",
-       "&lt;script&gt;    \n",
-       "    \n",
-       "            var map_992b578902d34d79f920397246ff49c1 = L.map(\n",
-       "                &quot;map_992b578902d34d79f920397246ff49c1&quot;,\n",
-       "                {\n",
-       "                    center: [44.30453500287042, -115.2360049999124],\n",
-       "                    crs: L.CRS.EPSG3857,\n",
-       "                    zoom: 10,\n",
-       "                    zoomControl: true,\n",
-       "                    preferCanvas: false,\n",
-       "                }\n",
-       "            );\n",
-       "            L.control.scale().addTo(map_992b578902d34d79f920397246ff49c1);\n",
-       "\n",
-       "            \n",
-       "\n",
-       "        \n",
-       "    \n",
-       "            var tile_layer_4ececad1a0deff37f974969e6b604fa6 = L.tileLayer(\n",
-       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
-       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
-       "            ).addTo(map_992b578902d34d79f920397246ff49c1);\n",
-       "        \n",
-       "    \n",
-       "            map_992b578902d34d79f920397246ff49c1.fitBounds(\n",
-       "                [[44.304430002870404, -115.23606999991239], [44.30464000287045, -115.2359399999124]],\n",
-       "                {}\n",
-       "            );\n",
-       "        \n",
-       "    \n",
-       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_styler(feature) {\n",
-       "            switch(feature.id) {\n",
-       "                default:\n",
-       "                    return {&quot;fillOpacity&quot;: 0.5, &quot;weight&quot;: 2};\n",
-       "            }\n",
-       "        }\n",
-       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_highlighter(feature) {\n",
-       "            switch(feature.id) {\n",
-       "                default:\n",
-       "                    return {&quot;fillOpacity&quot;: 0.75};\n",
-       "            }\n",
-       "        }\n",
-       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_pointToLayer(feature, latlng) {\n",
-       "            var opts = {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;#3388ff&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#3388ff&quot;, &quot;fillOpacity&quot;: 0.2, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 2, &quot;stroke&quot;: true, &quot;weight&quot;: 3};\n",
-       "            \n",
-       "            let style = geo_json_90a1485c7462cf24d079cc237c5c56aa_styler(feature)\n",
-       "            Object.assign(opts, style)\n",
-       "            \n",
-       "            return new L.CircleMarker(latlng, opts)\n",
-       "        }\n",
-       "\n",
-       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_onEachFeature(feature, layer) {\n",
-       "            layer.on({\n",
-       "                mouseout: function(e) {\n",
-       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
-       "                        geo_json_90a1485c7462cf24d079cc237c5c56aa.resetStyle(e.target);\n",
-       "                    }\n",
-       "                },\n",
-       "                mouseover: function(e) {\n",
-       "                    if(typeof e.target.setStyle === &quot;function&quot;){\n",
-       "                        const highlightStyle = geo_json_90a1485c7462cf24d079cc237c5c56aa_highlighter(e.target.feature)\n",
-       "                        e.target.setStyle(highlightStyle);\n",
-       "                    }\n",
-       "                },\n",
-       "            });\n",
-       "        };\n",
-       "        var geo_json_90a1485c7462cf24d079cc237c5c56aa = L.geoJson(null, {\n",
-       "                onEachFeature: geo_json_90a1485c7462cf24d079cc237c5c56aa_onEachFeature,\n",
-       "            \n",
-       "                style: geo_json_90a1485c7462cf24d079cc237c5c56aa_styler,\n",
-       "                pointToLayer: geo_json_90a1485c7462cf24d079cc237c5c56aa_pointToLayer\n",
-       "        });\n",
-       "\n",
-       "        function geo_json_90a1485c7462cf24d079cc237c5c56aa_add (data) {\n",
-       "            geo_json_90a1485c7462cf24d079cc237c5c56aa\n",
-       "                .addData(data)\n",
-       "                .addTo(map_992b578902d34d79f920397246ff49c1);\n",
-       "        }\n",
-       "            geo_json_90a1485c7462cf24d079cc237c5c56aa_add({&quot;bbox&quot;: [-115.23606999991239, 44.304430002870404, -115.2359399999124, 44.30464000287045], &quot;features&quot;: [{&quot;bbox&quot;: [-115.2360299999124, 44.30464000287045, -115.2360299999124, 44.30464000287045], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.30464000287045], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;0&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360099999124, 44.30463000287046, -115.2360099999124, 44.30463000287046], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360099999124, 44.30463000287046], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;8&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23597999991239, 44.30461000287043, -115.23597999991239, 44.30461000287043], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23597999991239, 44.30461000287043], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;26&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2359399999124, 44.30458000287044, -115.2359399999124, 44.30458000287044], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2359399999124, 44.30458000287044], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;72&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360599999124, 44.30447000287041, -115.2360599999124, 44.30447000287041], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360599999124, 44.30447000287041], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;98&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360299999124, 44.30462000287045, -115.2360299999124, 44.30462000287045], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.30462000287045], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;124&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2360299999124, 44.304540002870425, -115.2360299999124, 44.304540002870425], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2360299999124, 44.304540002870425], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;150&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.2359899999124, 44.3044800028704, -115.2359899999124, 44.3044800028704], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.2359899999124, 44.3044800028704], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;174&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}, {&quot;bbox&quot;: [-115.23606999991239, 44.304430002870404, -115.23606999991239, 44.304430002870404], &quot;geometry&quot;: {&quot;coordinates&quot;: [-115.23606999991239, 44.304430002870404], &quot;type&quot;: &quot;Point&quot;}, &quot;id&quot;: &quot;196&quot;, &quot;properties&quot;: {&quot;site_id&quot;: &quot;Banner Open&quot;}, &quot;type&quot;: &quot;Feature&quot;}], &quot;type&quot;: &quot;FeatureCollection&quot;});\n",
-       "\n",
-       "        \n",
-       "    \n",
-       "    geo_json_90a1485c7462cf24d079cc237c5c56aa.bindTooltip(\n",
-       "    function(layer){\n",
-       "    let div = L.DomUtil.create(&#x27;div&#x27;);\n",
-       "    \n",
-       "    let handleObject = feature=&gt;typeof(feature)==&#x27;object&#x27; ? JSON.stringify(feature) : feature;\n",
-       "    let fields = [&quot;site_id&quot;];\n",
-       "    let aliases = [&quot;site_id&quot;];\n",
-       "    let table = &#x27;&lt;table&gt;&#x27; +\n",
-       "        String(\n",
-       "        fields.map(\n",
-       "        (v,i)=&gt;\n",
-       "        `&lt;tr&gt;\n",
-       "            &lt;th&gt;${aliases[i]}&lt;/th&gt;\n",
-       "            \n",
-       "            &lt;td&gt;${handleObject(layer.feature.properties[v])}&lt;/td&gt;\n",
-       "        &lt;/tr&gt;`).join(&#x27;&#x27;))\n",
-       "    +&#x27;&lt;/table&gt;&#x27;;\n",
-       "    div.innerHTML=table;\n",
-       "    \n",
-       "    return div\n",
-       "    }\n",
-       "    ,{&quot;className&quot;: &quot;foliumtooltip&quot;, &quot;sticky&quot;: true});\n",
-       "                     \n",
-       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
-      ],
-      "text/plain": [
-       "<folium.folium.Map at 0x1283f9e80>"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# We noticed there are a lot of pits (timeseries pits) for Banner Open\n",
     "# Filter down to ONE timeseries\n",
@@ -454,141 +96,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "      <th>northing</th>\n",
-       "      <th>easting</th>\n",
-       "      <th>utm_zone</th>\n",
-       "      <th>depth</th>\n",
-       "      <th>bottom_depth</th>\n",
-       "      <th>value</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
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-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2019-12-18</th>\n",
-       "      <td>22609.5</td>\n",
-       "      <td>44.30464</td>\n",
-       "      <td>-115.23603</td>\n",
-       "      <td>4.907222e+06</td>\n",
-       "      <td>640699.666121</td>\n",
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-       "      <td>16.000000</td>\n",
-       "      <td>279.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-01-09</th>\n",
-       "      <td>22670.0</td>\n",
-       "      <td>44.30463</td>\n",
-       "      <td>-115.23601</td>\n",
-       "      <td>4.907221e+06</td>\n",
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-       "      <td>11.0</td>\n",
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-       "      <td>156.777778</td>\n",
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-       "    <tr>\n",
-       "      <th>2020-01-23</th>\n",
-       "      <td>22746.0</td>\n",
-       "      <td>44.30461</td>\n",
-       "      <td>-115.23598</td>\n",
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-       "    <tr>\n",
-       "      <th>2020-01-30</th>\n",
-       "      <td>22830.5</td>\n",
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-       "    <tr>\n",
-       "      <th>2020-02-06</th>\n",
-       "      <td>22910.0</td>\n",
-       "      <td>44.30458</td>\n",
-       "      <td>-115.23594</td>\n",
-       "      <td>4.907216e+06</td>\n",
-       "      <td>640706.988222</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>72.000000</td>\n",
-       "      <td>62.000000</td>\n",
-       "      <td>254.141026</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 id  latitude  longitude      northing        easting  \\\n",
-       "date                                                                    \n",
-       "2019-12-18  22609.5  44.30464 -115.23603  4.907222e+06  640699.666121   \n",
-       "2020-01-09  22670.0  44.30463 -115.23601  4.907221e+06  640701.285289   \n",
-       "2020-01-23  22746.0  44.30461 -115.23598  4.907219e+06  640703.725988   \n",
-       "2020-01-30  22830.5  44.30461 -115.23598  4.907219e+06  640703.725988   \n",
-       "2020-02-06  22910.0  44.30458 -115.23594  4.907216e+06  640706.988222   \n",
-       "\n",
-       "            utm_zone      depth  bottom_depth       value  \n",
-       "date                                                       \n",
-       "2019-12-18      11.0  26.000000     16.000000  279.000000  \n",
-       "2020-01-09      11.0  51.000000     41.000000  156.777778  \n",
-       "2020-01-23      11.0  61.727273     51.727273  254.166667  \n",
-       "2020-01-30      11.0  72.000000     62.000000  236.000000  \n",
-       "2020-02-06      11.0  72.000000     62.000000  254.141026  "
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Get the mean of each date sampled\n",
     "df[\"value\"] = df[\"value\"].astype(float)\n",
@@ -608,7 +118,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -621,945 +131,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
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-     "data": {
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n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var 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a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use 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n=r(94724),i=r(25376),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({orientation:{valType:\"enumerated\",values:[\"h\",\"v\"],dflt:\"v\"},thicknessmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\"},thickness:{valType:\"number\",min:0,dflt:30},lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"]},xpad:{valType:\"number\",min:0,dflt:10},y:{valType:\"number\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"]},ypad:{valType:\"number\",min:0,dflt:10},outlinecolor:n.linecolor,outlinewidth:n.linewidth,bordercolor:n.linecolor,borderwidth:{valType:\"number\",min:0,dflt:0},bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\"},tickmode:n.minor.tickmode,nticks:n.nticks,tick0:n.tick0,dtick:n.dtick,tickvals:n.tickvals,ticktext:n.ticktext,ticks:a({},n.ticks,{dflt:\"\"}),ticklabeloverflow:a({},n.ticklabeloverflow,{}),ticklabelposition:{valType:\"enumerated\",values:[\"outside\",\"inside\",\"outside 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x,b,_,w=\"paper\"===h(\"yref\"),T=\"paper\"===h(\"xref\"),k=\"left\";g?(_=\"middle\",k=T?\"left\":\"right\",x=T?1.02:1,b=.5):(_=w?\"bottom\":\"top\",k=\"center\",x=.5,b=w?1.02:1),n.coerce(f,c,{x:{valType:\"number\",min:T?-2:0,max:T?3:1,dflt:x}},\"x\"),n.coerce(f,c,{y:{valType:\"number\",min:w?-2:0,max:w?3:1,dflt:b}},\"y\"),h(\"xanchor\",k),h(\"xpad\"),h(\"yanchor\",_),h(\"ypad\"),n.noneOrAll(f,c,[\"x\",\"y\"]),h(\"outlinecolor\"),h(\"outlinewidth\"),h(\"bordercolor\"),h(\"borderwidth\"),h(\"bgcolor\");var A=n.coerce(f,c,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:g?[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]:[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]}},\"ticklabelposition\");h(\"ticklabeloverflow\",-1!==A.indexOf(\"inside\")?\"hide past domain\":\"hide past div\"),a(f,c,h,\"linear\");var M=r.font,S={noAutotickangles:!0,outerTicks:!1,font:M};-1!==A.indexOf(\"inside\")&&(S.bgColor=\"black\"),l(f,c,h,\"linear\",S),s(f,c,h,\"linear\",S),o(f,c,h,\"linear\",S),h(\"title.text\",r._dfltTitle.colorbar);var E=c.showticklabels?c.tickfont:M,L=n.extendFlat({},E,{weight:M.weight,style:M.style,variant:M.variant,color:M.color,size:n.bigFont(E.size)});n.coerceFont(h,\"title.font\",L),h(\"title.side\",g?\"top\":\"right\")}},37848:function(t,e,r){\"use strict\";var n=r(33428),i=r(49760),a=r(7316),o=r(24040),s=r(54460),l=r(86476),u=r(3400),c=u.strTranslate,f=r(92880).extendFlat,h=r(93972),p=r(43616),d=r(76308),v=r(81668),g=r(72736),y=r(94288).flipScale,m=r(28336),x=r(37668),b=r(94724),_=r(84284),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=r(63964).cn;t.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function u(){\"function\"==typeof i.calc?i.calc(t,n,e):(e._fillgradient=r.reversescale?y(r.colorscale):r.colorscale,e._zrange=[r[i.min],r[i.max]])}for(var c=0;c<o.length;c++){var h=o[c];if((n=h[0].trace)._module){var p=n._module.colorbar;if(!0===n.visible&&p)for(var d=Array.isArray(p),v=d?p:[p],g=0;g<v.length;g++){var m=(i=v[g]).container;(r=m?n[m]:n)&&r.showscale&&((e=l(r.colorbar))._id=\"cb\"+n.uid+(d&&m?\"-\"+m:\"\"),e._traceIndex=n.index,e._propPrefix=(m?m+\".\":\"\")+\"colorbar.\",e._meta=n._meta,u(),s.push(e))}}}for(var x in a._colorAxes)if((r=a[x]).showscale){var b=a._colorAxes[x];(e=l(r.colorbar))._id=\"cb\"+x,e._propPrefix=x+\".colorbar.\",e._meta=a._meta,i={min:\"cmin\",max:\"cmax\"},\"heatmap\"!==b[0]&&(n=b[1],i.calc=n._module.colorbar.calc),u(),s.push(e)}return s}(t),(function(t){return t._id}));e.enter().append(\"g\").attr(\"class\",(function(t){return t._id})).classed(A.colorbar,!0),e.each((function(e){var r=n.select(this);u.ensureSingle(r,\"rect\",A.cbbg),u.ensureSingle(r,\"g\",A.cbfills),u.ensureSingle(r,\"g\",A.cblines),u.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),u.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),u.ensureSingle(r,\"rect\",A.cboutline);var y=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,y=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,O=e.ypad,I=e.x,z=o?e.y:1-e.y,D=\"paper\"===e.yref,R=\"paper\"===e.xref,F=r._fullLayout,B=F._size,N=e._fillcolor,j=e._line,U=e.title,V=U.side,q=e._zrange||n.extent((\"function\"==typeof N?N:j.color).domain()),H=\"function\"==typeof j.color?j.color:function(){return j.color},G=\"function\"==typeof N?N:function(){return N},W=e._levels,Y=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,u=a.size,c=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*u,!(u>0?n>=l:n<=l));i++)n>c&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,u=h.size,i=0;i<1e5&&(n=h.start+i*u,!(u>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);return a.size<0&&(o.reverse(),s.reverse()),{line:o,fill:s}}(0,e,q),X=Y.fill,Z=Y.line,K=Math.round(y*(\"fraction\"===_?o?B.w:B.h:1)),J=K/(o?B.w:B.h),$=Math.round(l*(\"fraction\"===h?o?B.h:B.w:1)),Q=$/(o?B.h:B.w),tt=R?B.w:r._fullLayout.width,et=D?B.h:r._fullLayout.height,rt=Math.round(o?I*tt+P:z*et+O),nt={center:.5,right:1}[L]||0,it={top:1,middle:.5}[C]||0,at=o?I-nt*J:z-it*J,ot=o?z-it*Q:I-nt*Q,st=Math.round(o?et*(1-ot):tt*ot);e._lenFrac=Q,e._thickFrac=J,e._uFrac=at,e._vFrac=ot;var lt=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,labelalias:e.labelalias,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noAutotickangles:\"y\"===o,noHover:!0,noTickson:!0,noTicklabelmode:!0,noInsideRange:!0,calendar:n.calendar};function c(t,e){return u.coerce(a,s,b,t,e)}return m(a,s,c,l,n),x(a,s,c,l),s}(r,e,q);lt.position=J+(o?I+P/B.w:z+O/B.h);var ut=-1!==[\"top\",\"bottom\"].indexOf(V);if(o&&ut&&(lt.title.side=V,lt.titlex=I+P/B.w,lt.titley=ot+(\"top\"===U.side?Q-O/B.h:O/B.h)),o||ut||(lt.title.side=V,lt.titley=z+O/B.h,lt.titlex=ot+P/B.w),j.color&&\"auto\"===e.tickmode){lt.tickmode=\"linear\",lt.tick0=W.start;var ct=W.size,ft=u.constrain($/50,4,15)+1,ht=(q[1]-q[0])/((e.nticks||ft)*ct);if(ht>1){var pt=Math.pow(10,Math.floor(Math.log(ht)/Math.LN10));ct*=pt*u.roundUp(ht/pt,[2,5,10]),(Math.abs(W.start)/W.size+1e-6)%1<2e-6&&(lt.tick0=0)}lt.dtick=ct}lt.domain=o?[ot+O/B.h,ot+Q-O/B.h]:[ot+P/B.w,ot+Q-P/B.w],lt.setScale(),t.attr(\"transform\",c(Math.round(B.l),Math.round(B.t)));var dt,vt=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",c(-Math.round(B.l),-Math.round(B.t))),gt=lt.ticklabelposition,yt=lt.title.font.size,mt=t.select(\".\"+A.cbaxis),xt=0,bt=0;function _t(n,i){var a={propContainer:lt,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:F._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),v.draw(r,n,f(a,i||{}))}return u.syncOrAsync([a.previousPromises,function(){var t,e;(o&&ut||!o&&!ut)&&(\"top\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot-Q)+3+.75*yt),\"bottom\"===V&&(t=P+B.l+tt*I,e=O+B.t+et*(1-ot)-3-.25*yt),\"right\"===V&&(e=O+B.t+et*z+3+.75*yt,t=P+B.l+tt*ot),_t(lt._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!ut||o&&ut){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(X);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var x=q.map(lt.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?q[0]:(X[a]+X[a-1])/2,a===X.length-1?q[1]:(X[a]+X[a+1])/2].map(lt.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",rt).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(K,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=G(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(j.color&&j.width?Z:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=rt,r=Math.round(lt.c2p(t))+j.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+K).call(p.lineGroupStyle,j.width,H(t),j.dash)})),mt.selectAll(\"g.\"+lt._id+\"tick,path\").remove();var _=rt+K+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(lt),k=s.getTickSigns(lt)[2];return s.drawTicks(r,lt,{vals:\"inside\"===lt.ticks?s.clipEnds(lt,T):T,layer:mt,path:s.makeTickPath(lt,_,k),transFn:s.makeTransTickFn(lt)}),s.drawLabels(r,lt,{vals:T,layer:mt,transFn:s.makeTransTickLabelFn(lt),labelFns:s.makeLabelFns(lt,_)})},function(){if(o&&!ut||!o&&ut){var t,i,a=lt.position||0,s=lt._offset+lt._length/2;if(\"right\"===V)i=s,t=B.l+tt*a+10+yt*(lt.showticklabels?1:.5);else if(t=s,\"bottom\"===V&&(i=B.t+et*a+10+(-1===gt.indexOf(\"inside\")?lt.tickfont.size:0)+(\"intside\"!==lt.ticks&&e.ticklen||0)),\"top\"===V){var l=U.text.split(\"<br>\").length;i=B.t+et*a+10-K-w*yt*l}_t((o?\"h\":\"v\")+lt._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+lt._id+\"tick\"),side:V,offsetTop:o?0:B.t,offsetLeft:o?B.l:0,maxShift:o?F.width:F.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var 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rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=[],gt=[],yt={hLinePoint:null,vLinePoint:null},mt=!1;if(Array.isArray(e))for(M=\"array\",it=0;it<e.length;it++)(ot=t.calcdata[e[it].curveNumber||0])&&(st=ot[0].trace,\"skip\"!==ot[0].trace.hoverinfo&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0)));else{var xt,bt,_t=t.calcdata.slice();for(_t.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),at=0;at<_t.length;at++)ot=_t[at],\"skip\"!==(st=ot[0].trace).hoverinfo&&m.isTraceInSubplots(st,x)&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var wt=l.getBoundingClientRect();xt=e.clientX-wt.left,bt=e.clientY-wt.top,b._calcInverseTransform(t);var Tt=o.apply3DTransform(b._invTransform)(xt,bt);if(xt=Tt[0],bt=Tt[1],xt<0||xt>Z[0]._length||bt<0||bt>K[0]._length)return v.unhoverRaw(t,e)}else xt=\"xpx\"in e?e.xpx:Z[0]._length/2,bt=\"ypx\"in e?e.ypx:K[0]._length/2;if(e.pointerX=xt+Z[0]._offset,e.pointerY=bt+K[0]._offset,rt=\"xval\"in e?m.flat(x,e.xval):m.p2c(Z,xt),nt=\"yval\"in e?m.flat(x,e.yval):m.p2c(K,bt),!i(rt[0])||!i(nt[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var kt=1/0;function At(r,n){for(at=0;at<gt.length;at++)if((ot=gt[at])&&ot[0]&&ot[0].trace&&!0===(st=ot[0].trace).visible&&0!==st._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(st._module.name)){if(ct=M,m.isUnifiedHover(ct)&&(ct=ct.charAt(0)),\"splom\"===st.type?lt=x[ut=0]:(lt=m.getSubplot(st),ut=x.indexOf(lt)),pt={cd:ot,trace:st,xa:Z[ut],ya:K[ut],maxHoverDistance:tt,maxSpikeDistance:et,index:!1,distance:Math.min(kt,tt),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:st.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[lt]&&(pt.subplot=b[lt]._subplot),b._splomScenes&&b._splomScenes[st.uid]&&(pt.scene=b._splomScenes[st.uid]),\"array\"===ct){var a=e[at];\"pointNumber\"in a?(pt.index=a.pointNumber,ct=\"closest\"):(ct=\"\",\"xval\"in a&&(ft=a.xval,ct=\"x\"),\"yval\"in a&&(ht=a.yval,ct=ct?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,ht=n):(ft=rt[ut],ht=nt[ut]);if(dt=vt.length,0!==tt)if(st._module&&st._module.hoverPoints){var s=st._module.hoverPoints(pt,ft,ht,ct,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:_,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&vt.push(B(l,M))}else o.log(\"Unrecognized trace type in hover:\",st);if(\"closest\"===M&&vt.length>dt&&(vt.splice(0,dt),kt=vt[0].distance),A&&0!==et&&0===vt.length){pt.distance=et,pt.index=!1;var c=st._module.hoverPoints(pt,ft,ht,\"closest\",{hoverLayer:b._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=et}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=St(p),(!yt.vLinePoint||yt.vLinePoint.spikeDistance>f.spikeDistance)&&(yt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=St(g),(!yt.hLinePoint||yt.hLinePoint.spikeDistance>f.spikeDistance)&&(yt.hLinePoint=f))}}}}}function Mt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function St(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}At();var Et={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,Ct={vLinePoint:yt.vLinePoint,hLinePoint:yt.hLinePoint};t._spikepoints=Ct;var Pt=function(){var t=vt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=vt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),vt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];y.traceIs(s.trace,\"bar-like\")||y.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(vt=t.concat(e),M)};Pt();var Ot=M.charAt(0),It=(\"x\"===Ot||\"y\"===Ot)&&vt[0]&&C[vt[0].trace.type];if(A&&0!==et&&0!==vt.length){var zt=Mt(vt.filter((function(t){return t.ya.showspikes})),et,It);yt.hLinePoint=St(zt);var Dt=Mt(vt.filter((function(t){return t.xa.showspikes})),et,It);yt.vLinePoint=St(Dt)}if(0===vt.length){var Rt=v.unhoverRaw(t,e);return!A||null===yt.hLinePoint&&null===yt.vLinePoint||j(Lt)&&N(t,yt,Et),Rt}if(A&&j(Lt)&&N(t,yt,Et),m.isXYhover(ct)&&0!==vt[0].length&&\"splom\"!==vt[0].trace.type){var Ft=vt[0],Bt=(vt=L[Ft.trace.type]?vt.filter((function(t){return t.trace.index===Ft.trace.index})):[Ft]).length;At(V(\"x\",Ft,b),V(\"y\",Ft,b));var Nt,jt=[],Ut={},Vt=0,qt=function(t){var e=L[t.trace.type]?O(t):t.trace.index;if(Ut[e]){var r=Ut[e]-1,n=jt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(jt[r]=t)}else Vt++,Ut[e]=Vt,jt.push(t)};for(Nt=0;Nt<Bt;Nt++)qt(vt[Nt]);for(Nt=vt.length-1;Nt>Bt-1;Nt--)qt(vt[Nt]);vt=jt,Pt()}var Ht=t._hoverdata,Gt=[],Wt=q(t),Yt=H(t);for(it=0;it<vt.length;it++){var Xt=vt[it],Zt=m.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Kt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Kt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Kt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Jt=Xt.x0+Xt.xa._offset,$t=Xt.x1+Xt.xa._offset,Qt=Xt.y0+Xt.ya._offset,te=Xt.y1+Xt.ya._offset,ee=Math.min(Jt,$t),re=Math.max(Jt,$t),ne=Math.min(Qt,te),ie=Math.max(Qt,te);Zt.bbox={x0:ee+Yt,x1:re+Yt,y0:ne+Wt,y1:ie+Wt}}Xt.eventData=[Zt],Gt.push(Zt)}t._hoverdata=Gt;var ae=\"y\"===M&&(gt.length>1||vt.length>1)||\"closest\"===M&&mt&&vt.length>1,oe=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),se=z(vt,{gd:t,hovermode:M,rotateLabels:ae,bgColor:oe,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),le=se.hoverLabels;if(m.isUnifiedHover(M)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function A(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=R(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(S+p.y)-T(t.by/2-S))+T(t.by);else{var M=w(A*S+p.x),E=M+w(A*t.bx);u=t.crossPos+Math.min(M,E),c=t.crossPos+Math.max(M,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?k:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],E=g[s+1],L=M[M.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(M.push.apply(M,E),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(le,ae,b,se.commonLabelBoundingBox),F(le,ae,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=y.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Gt);h(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Ht)&&(Ht&&t.emit(\"plotly_unhover\",{event:e,points:Ht}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:Z,yaxes:K,xvals:rt,yvals:nt}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=q(i),o=H(i),s=z(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(y.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,m=g.offsetLeft,x=g.offsetTop;c+=m,f+=m,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=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&&(u=t.offset)})).each((function(t){t.offset-=u})),F(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var I=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||x.HOVERFONT,k=e.fontSize||x.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,L=e.fontVariant||i.font.variant,C=t[0],P=C.xa,I=C.ya,z=a.charAt(0),R=z+\"Label\",F=C[R];if(void 0===F&&\"multicategory\"===P.type)for(var B=0;B<t.length&&void 0===(F=t[B][R]);B++);var N=G(r,v),j=N.top,U=N.width,V=N.height,q=void 0!==F&&C.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(q){var H,W,Y=!0;for(H=0;H<t.length;H++)if(Y&&void 0===t[H].zLabel&&(Y=!1),W=t[H].hoverinfo||t[H].trace.hoverinfo){var X=Array.isArray(W)?W:W.split(\"+\");if(-1===X.indexOf(\"all\")&&-1===X.indexOf(a)){q=!1;break}}Y&&(q=!1)}var Z=h.selectAll(\"g.axistext\").data(q?[0]:[]);Z.enter().append(\"g\").classed(\"axistext\",!0),Z.exit().remove();var K={minX:0,maxX:0,minY:0,maxY:0};if(Z.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=g.bgcolor||d.defaultLine,c=g.bordercolor||d.contrast(u),h=d.contrast(u),v={weight:g.font.weight||A,style:g.font.style||M,variant:g.font.variant||L,family:g.font.family||T,size:g.font.size||k,color:g.font.color||h};e.style({fill:u,stroke:c}),s.text(F).call(p.font,v).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var y,m,x=G(r,s.node());if(\"x\"===a){var b=\"top\"===P.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===P.side?j-x.bottom-S-E:j-x.top+S+E),y=P._offset+(C.x0+C.x1)/2,m=I._offset+(\"top\"===P.side?0:I._length);var _=x.width/2+E,w=y;y<_?w=_:y>i.width-_&&(w=i.width-_),e.attr(\"d\",\"M\"+(y-w)+\",0L\"+(y-w+S)+\",\"+b+S+\"H\"+_+\"v\"+b+(2*E+x.height)+\"H\"+-_+\"V\"+b+S+\"H\"+(y-w-S)+\"Z\"),y=w,K.minX=y-_,K.maxX=y+_,\"top\"===P.side?(K.minY=m-(2*E+x.height),K.maxY=m-E):(K.minY=m+E,K.maxY=m+(2*E+x.height))}else{var O,z,D;\"right\"===I.side?(O=\"start\",z=1,D=\"\",y=P._offset+P._length):(O=\"end\",z=-1,D=\"-\",y=P._offset),m=I._offset+(C.y0+C.y1)/2,s.attr(\"text-anchor\",O),e.attr(\"d\",\"M0,0L\"+D+S+\",\"+S+\"V\"+(E+x.height/2)+\"h\"+D+(2*E+x.width)+\"V-\"+(E+x.height/2)+\"H\"+D+S+\"V-\"+S+\"Z\"),K.minY=m-(E+x.height/2),K.maxY=m+(E+x.height/2),\"right\"===I.side?(K.minX=y+S,K.maxX=y+S+(2*E+x.width)):(K.minX=y-S-(2*E+x.width),K.maxX=y-S);var R,B=x.height/2,N=j-x.top-B,U=\"clip\"+i._uid+\"commonlabel\"+I._id;if(y<x.width+2*E+S){R=\"M-\"+(S+E)+\"-\"+B+\"h-\"+(x.width-E)+\"V\"+B+\"h\"+(x.width-E)+\"Z\";var V=x.width-y+E;f.positionText(s,V,N),\"end\"===O&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=G(r,e.node());Math.round(i.width)<Math.round(x.width)&&t.attr(\"x\",V-i.width),e.remove()}))}else f.positionText(s,z*(E+S),N),R=null;var q=i._topclips.selectAll(\"#\"+U).data(R?[0]:[]);q.enter().append(\"clipPath\").attr(\"id\",U).append(\"path\"),q.exit().remove(),q.select(\"path\").attr(\"d\",R),p.setClipUrl(s,R?U:null,r)}t.attr(\"transform\",l(y,m))})),m.isUnifiedHover(a)){h.selectAll(\"g.hovertext\").remove();var J=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===J.length)return[];var $=i.hoverlabel,Q=$.font,tt={showlegend:!0,legend:{title:{text:F,font:Q},font:Q,bgcolor:$.bgcolor,bordercolor:$.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},et={font:Q};b(tt,et,r._fullData);var rt=et.legend;rt.entries=[];for(var nt=0;nt<J.length;nt++){var it=J[nt];if(\"none\"!==it.hoverinfo){var at=D(it,!0,a,i,F),ot=at[0],st=at[1];it.name=st,it.text=\"\"!==st?st+\" : \"+ot:ot;var lt=it.cd[it.index];lt&&(lt.mc&&(it.mc=lt.mc),lt.mcc&&(it.mc=lt.mcc),lt.mlc&&(it.mlc=lt.mlc),lt.mlcc&&(it.mlc=lt.mlcc),lt.mlw&&(it.mlw=lt.mlw),lt.mrc&&(it.mrc=lt.mrc),lt.dir&&(it.dir=lt.dir)),it._distinct=!0,rt.entries.push([it])}}rt.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),rt.layer=h,rt._inHover=!0,rt._groupTitleFont=$.grouptitlefont,_(r,rt);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function N(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.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=v),-1!==w.indexOf(\"across\")){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:\"component\",name:\"fx\",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),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 e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var 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O=S,I=E;S=k?i.constrain(S,0,d.width-h._width):O,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==O&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var z=h._effHeight;T&&(z=h._height),U.attr({width:h._width-_,height:z-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:z-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=Z)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,Z=function(t,e,r){var n=(e-r)/X+t;return i.constrain(n,0,Y)}(F,D,R),$(Z,B,X))}));q.call(J)}function $(e,r,n){h._scrollY=t._fullLayout[w]._scrollY=e,u.setTranslate(q,0,-e),u.setRect(G,h._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",_+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(){var t=u.getTranslate(N);m=t.x,x=t.y},moveFn:function(t,r){var n=m+t,i=x+r;u.setTranslate(N,n,i),e=l.align(n,h._width,b.l,b.l+b.w,h.xanchor),c=l.align(i+h._height,-h._height,b.t+b.h,b.t,h.yanchor)},doneFn:function(){if(void 0!==e&&void 0!==c){var r={};r[w+\".x\"]=e,r[w+\".y\"]=c,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==u&&h(r,t,n))}function M(t,e,r){var n,a,s=O(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.indentation+r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return t}function E(t,e,r){var a,o=e._context.doubleClickDelay,s=1,l=i.ensureSingle(t,\"rect\",r+\"toggle\",(function(t){e._context.staticPlot||t.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),t.call(c.fill,\"rgba(0,0,0,0)\")}));e._context.staticPlot||(l.on(\"mousedown\",(function(){(a=(new Date).getTime())-e._legendMouseDownTime<o?s+=1:(s=1,e._legendMouseDownTime=a)})),l.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var i=e._fullLayout[r];(new Date).getTime()-e._legendMouseDownTime>o&&(s=Math.max(s-1,1)),A(e,i,t,s,n.event)}})))}function L(t,e,r,n,i){n._inHover&&t.attr(\"data-notex\",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(r._inHover||!i||i.trace.showlegend){var a=t.select(\"g[class*=math-group]\"),o=a.node(),s=O(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function P(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function O(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,z=k&&k.length,D=[];if(z)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&D.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(z)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var 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r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+\".\"+d+\".showspikes\";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if(\"zoom\"===i){var f=c.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,u+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function y(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function m(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c=\"in\"===r?1.05*u:u/1.05;o[l+\".zoom\"]=c}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}c.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return u(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(u(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(u(t,\"IE only supports svg.  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u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw 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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\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(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))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=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 h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(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(c(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(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=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,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===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 P=[],O=[],I=[],z=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]),(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||y?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var 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!==O.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!==u.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(I)),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),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.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 ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),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 u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===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 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n=r(25376),i=r(22548),a=(0,r(31780).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\"});t.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\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return\"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],P=l._rl[1],O=P-C;if(l.p2d=function(t){return t/l._width*O+C},l.d2p=function(t){return(t-C)/O*l._width},r.rangebreaks){var I=r.locateBreaks(C,P);if(I.length){var z,D,R=0;for(z=0;z<I.length;z++)R+=(D=I[z]).max-D.min;var F=l._width/(P-C-R),B=[-F*C];for(z=0;z<I.length;z++)D=I[z],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},74224:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},23640:function(t,e,r){\"use strict\";var n=r(9856).readPaths,i=r(55496),a=r(1936).clearOutlineControllers,o=r(76308),s=r(43616),l=r(31780).arrayEditor,u=r(65152),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,P=r(73696),O=r(39172).redrawReglTraces,I=r(83280),z=I.MINSELECT,D=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var 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if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){\"use strict\";var 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n=r(3400),i=r(54460),a=r(72736),o=r(43616),s=r(9856).readPaths,l=r(65152),u=l.getPathString,c=r(97728),f=r(84284).FROM_TL;t.exports=function(t,e,r,h){if(h.selectAll(\".shape-label\").remove(),r.label.text||r.label.texttemplate){var p;if(r.label.texttemplate){var d={};if(\"path\"!==r.type){var v=i.getFromId(t,r.xref),g=i.getFromId(t,r.yref);for(var y in c){var m=c[y](r,v,g);void 0!==m&&(d[y]=m)}}p=n.texttemplateStringForShapes(r.label.texttemplate,{},t._fullLayout._d3locale,d)}else p=r.label.text;var x,b,_,w,T={\"data-index\":e},k=r.label.font,A=h.append(\"g\").attr(T).classed(\"shape-label\",!0).append(\"text\").attr({\"data-notex\":1}).classed(\"shape-label-text\",!0).text(p);if(r.path){var M=u(t,r),S=s(M,t);x=1/0,_=1/0,b=-1/0,w=-1/0;for(var E=0;E<S.length;E++)for(var L=0;L<S[E].length;L++)for(var C=S[E][L],P=1;P<C.length;P+=2){var O=C[P],I=C[P+1];x=Math.min(x,O),b=Math.max(b,O),_=Math.min(_,I),w=Math.max(w,I)}}else{var 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n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],z=n[s][2],D=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(z=v(y.yaxis,z),D=v(y.yaxis,D),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(z+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-D+R-z)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},89861:function(t,e,r){\"use strict\";var n=r(25376),i=r(66741),a=r(92880).extendDeepAll,o=r(67824).overrideAll,s=r(85656),l=r(31780).templatedArray,u=r(60876),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,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:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},60876:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},79664:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=s.strTranslate,u=r(72736),c=r(31780).arrayEditor,f=r(60876),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.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*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-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})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(u.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var 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q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function W(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=D(K,y),at=D(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),q(t),Gt(),H(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=K,Pt.yaxes=J,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function qt(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(J)):r=r.concat(K)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Wt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Wt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Zt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Zt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,m=Yt(a,d,g)),m>1&&(void 0!==a.maxallowed&&st===(a.range[0]<a.range[1]?\"e\":\"w\")||void 0!==a.minallowed&&st===(a.range[0]<a.range[1]?\"w\":\"e\"))&&(m=1,b=0),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/O._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Yt(o,d,g)),x>1&&(void 0!==o.maxallowed&&lt===(o.range[0]<o.range[1]?\"n\":\"s\")||void 0!==o.minallowed&&lt===(o.range[0]<o.range[1]?\"s\":\"n\"))&&(x=1,T=0),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++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\"),p=0,d=a.on;function y(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,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){\"use strict\";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e,r){var i,a=[],o=[];if(!(i=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[a,t];for(var s=r,l=0;l<t.length;l++){var u=t[l],c=u[0].trace,f=void 0!==c.zorder;!0===c.visible&&0!==c._length&&(!c._module||c._module.plot!==i||f&&c.zorder!==s?o.push(u):a.push(u))}return[a,o]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.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),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.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,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.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),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);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,u,c,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;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"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||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(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=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).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=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=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 u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),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 u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}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 u=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])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+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 v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],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()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).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\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(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=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!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=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!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,u),!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],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var 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t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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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)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},52094:function(t){\"use strict\";t.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}},64859:function(t,e,r){\"use strict\";var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*D);var 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p=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var y=E.findPolygonOffset(v,L[0],L[1],C);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":Y.clickFn=st,u||(Y.moveFn=C?it:rt,Y.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=c._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),W=g.makeCorners(h,T,k),w(c)}());break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},y.init(Y)},N.updateRadialDrag=function(t,e,r){var i=this,u=i.gd,c=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,v=i.radialAxis,m=S.radialDragBoxSize,x=m/2;if(v.visible){var b,_,T,M=R(i.radialAxisAngle),E=v._rl,L=E[0],C=E[1],P=E[r],O=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var I,z,D,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,z=null,D=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==z?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function u(t){return c(o?r:n,+t,!0).text}var f,h,p=i.textinfo,d=t[e],v=p.split(\"+\"),g=[],y=function(t){return-1!==v.indexOf(t)};if(y(\"label\")&&g.push((h=t[e].p,c(o?n:r,h,!0).text)),y(\"text\")&&(0===(f=a.castOption(i,d.i,\"text\"))||f)&&g.push(f),s){var m=+d.rawS||d.s,x=d.v,b=x-m;y(\"initial\")&&g.push(u(b)),y(\"delta\")&&g.push(u(m)),y(\"final\")&&g.push(u(x))}if(l){y(\"value\")&&g.push(u(d.s));var _=0;y(\"percent initial\")&&_++,y(\"percent previous\")&&_++,y(\"percent total\")&&_++;var w=_>1;y(\"percent initial\")&&(f=a.formatPercent(d.begR),w&&(f+=\" of initial\"),g.push(f)),y(\"percent previous\")&&(f=a.formatPercent(d.difR),w&&(f+=\" of previous\"),g.push(f)),y(\"percent total\")&&(f=a.formatPercent(d.sumR),w&&(f+=\" of total\"),g.push(f))}return g.join(\"<br>\")}(e,r,n,i):v.getValue(s.text,r),v.coerceString(m,o)}(I,n,i,S,O);k=function(t,e){var r=v.getValue(t.textposition,e);return v.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),W=d.getOutsideTextFont(D,i,q),Y=D.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===O.type&&X.s0<=0&&(f=O.range[0]<O.range[1]?O._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=z(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=z(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):P(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===D.type?\"bar\":D.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,O,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:P}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),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(u,n(\"\",{colorAttr:\"u/v/w 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O=C.selectAll(\"text\").data(P);function I(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)}}O.enter().append(\"text\"),O.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),O.exit().remove();var z,D=v.mode+v.align;if(v._hasDelta&&(z=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.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 W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(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 y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.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 l(r)&&void 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p={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:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=c.selectAll(\"g.trace.parcats\").data(o,p),m=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),m.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return 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z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).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){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.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){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.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\")})),h.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 v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(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=m(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 c.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 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||m()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var 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,m(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&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 u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?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}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.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\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.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=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,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 v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={weight:l.font.weight,style:l.font.style,variant:l.font.variant,family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={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 u=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*u,a.offset=2*l*n,e(a),l*n+u<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 v(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,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color,M=t.deselectedLines.opacity;return o.extendFlat({key:f,resolution:[x,b],viewBoxPos:[s+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:s+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-s+y:u+.5)+(n===e?s+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,l,g,b,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},pattern:c,editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:u({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];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[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._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),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.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=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+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:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u}}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 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m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*v);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=O(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(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 u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(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((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).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,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),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:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,u=\"px1\",c=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,n=z(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var P=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-P/2,A.nodes[w].y1=C[1]+P/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(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:c.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 O(t){return t.link.width>1||t.linkLineWidth>0}function I(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 o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(52904),s=r(45464),l=r(49084),u=r(98192).u,c=r(92880).extendFlat,f=r(67824).overrideAll,h=o.marker,p=o.line,d=h.line;t.exports=f({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,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else 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 u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),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),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(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=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);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.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=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:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,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}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var z=x.c2p(y._yStarts[a]),D=x.c2p(y._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[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-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,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.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})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.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,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.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 v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.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}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,P=L.t,O=P.index,I=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=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(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={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(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=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=O(C(A[1])),V=O(C(A[3])),q=O(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 H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&z[H]*V<z[W]*V&&D[H]*q<D[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,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}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.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,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!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(),c?(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&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.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),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(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:c(),y:c(),z:c()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},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},56576:function(t,e,r){\"use strict\";var n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).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++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(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 u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,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=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(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,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,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=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var 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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]=m[e],p.highlightColor[e]=w.contourColor[e]=c(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]=c(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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m=\"contours.\"+y[c],x=h(m+\".show\"),b=h(m+\".highlight\");if(x||b)for(f=0;f<3;++f)h(m+\".project.\"+y[f]);x&&(h(m+\".color\"),h(m+\".width\"),h(m+\".usecolormap\")),b&&(h(m+\".highlightcolor\"),h(m+\".highlightwidth\")),h(m+\".start\"),h(m+\".end\"),h(m+\".size\")}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,u,h,{prefix:\"\",cLetter:\"c\"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){\"use strict\";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:r(56576),plot:r(79164),moduleType:\"trace\",name:\"surface\",basePlotModule:r(12536),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}},60520:function(t,e,r){\"use strict\";var n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.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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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},55992:function(t,e,r){\"use strict\";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>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],O=8191&P,I=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,Y)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(D,K)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var zt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=Ot,l[17]=It,l[18]=zt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),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):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=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,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[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),v(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 u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<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 u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,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),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(u)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=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},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}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 u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.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 f=c.prototype;function h(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 p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"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}),f.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(f,\"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}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.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(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),u=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),c=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t)for(r=t.ticks,c=!0,this.autoTicks=!1,p=0;p<3;++p)this.tickSpacing[p]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),l(\"labelFontStyle\")&&(v=!0),l(\"labelFontWeight\")&&(v=!0),l(\"labelFontVariant\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var g=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],y=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,g,this.ticks,y):this._text=n(this.gl,this.bounds,this.labels,g,this.ticks,y),this._lines&&c&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,z=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,z,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,z=(A+1+(1^O))%3,this.zeroEnable[z]&&Math.min(a[0][z],a[1][z])<=0&&Math.max(a[0][z],a[1][z])>=0&&this._lines.drawZero(I,z,this.bounds,P,this.zeroLineColor[z],this.zeroLineWidth[z]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];D[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[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=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],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=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,z=d([l[I],l[P],l[O],l[I+(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||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=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],u[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],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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 v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,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,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,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 c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,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 c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;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()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__TEXT_CACHE||{};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.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]))},f.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]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(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=m?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 O=d(g,c,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(O[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=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,u=0;u<3;++u)s[u]=o[u]=r[u];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 c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(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 c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=u(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],P=v[x],O=n.length(P)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vertexIntensity.push(O,O,O),a.vertexIntensity.push(O,O,O);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),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,u,c){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=u,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=c,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;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=c({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return u(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[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)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}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 u={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};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(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 v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(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,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(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(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.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])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(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 c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[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],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,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,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/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 v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var z,D;l?(z=m*(r[I]-u),D=m*(r[I+1]-u)):(z=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),D=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[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*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,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)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;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.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*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 c(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=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],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,O=t.cellUVs,I=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!O)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(I)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[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||I||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.pickVertex=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-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[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-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[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),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=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[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]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(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()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(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),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,z,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=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,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[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,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&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,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[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/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*O,D=6*Math.max(0,I-O),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*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/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],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[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,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=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]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),v.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,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],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(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}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.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 u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[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 c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[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 v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[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)}},u.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()}},u.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),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.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()},u.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())},u.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()},u.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=c(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=c(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=c(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=c(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=c(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=c(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\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=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}),c=[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:u,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:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.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,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(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&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.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))u.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],O=!0,I=!0,z={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:D,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:z,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){for(var t=E.length,e=P.length,n=0;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,D);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 U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._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&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,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),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();z.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,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/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(z))}i.end()}}}()),F.axesPixels=a(F.axes,z,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(z)),S.axes=A,x.object&&S.draw(z),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(z),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=D,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(z),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(z);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(z),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(z)}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,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[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),c=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=u,this.pickOrthoShader=c,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var m=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var z=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,I));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=O,O=I,I=R;var F=C;C=P,P=F}z[0]<0&&(O[C]=-1),D[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting 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* cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=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,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=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<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[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=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),z=C;O.push(I);var D=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(z,N)-A>-1e-4*A&&(P.push(N),z=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[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;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  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 — 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\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;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 u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},z=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=z;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<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=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}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=A[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=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.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 u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,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,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),z=Math.min(z,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),D=Math.max(D,K),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],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 J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],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,O=T*L,I=T*E,z=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(z)||isNaN(D)){m&&(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)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var c=function(t,e){i.muls(t,e,255)};function f(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,W),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?On(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(On)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?On(Cn(t[1],t.slice(2))):\"has\"===r?Pn(t[1]):\"!has\"===r?On(Pn(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Pn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function On(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):zn(t)}function zn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(zn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new zt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Pi=function(){return Mi},Oi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},zi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};zi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},zi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var Di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(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=ue.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 Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.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 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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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}($i);Ma.prototype.size=48;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 Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,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(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification[\"property-type\"],f=\"cross-faded\"===c||\"cross-faded-data-driven\"===c;if(\"constant\"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||f){var h=ho(i,l,\"source\");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push(\"/a_\"+i)}else{var p=ho(i,l,\"composite\");this.binders[i]=new so(s,o,l,u,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.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 u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.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,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.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,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.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(),u=Ys.types[this.type];function c(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];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(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=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].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&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[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];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(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}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=zo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=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 i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,z=new a((k+s)/L,(A+l)/L);z.z=E/L,y.push(z);var D=new a(C/I,P/I);D.z=O/I,m.push(D)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(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],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(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),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;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 cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.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)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,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,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),z=1;z<I;z++){var D=z/I;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(D)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,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,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(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,u=0,c=t;u<c.length;u+=1)for(var f=c[u],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 f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.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*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.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)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=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,O=null,I=null,z=Ll,D=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:D?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),z=P.advance;var B=D?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}D?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=z*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!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}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(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 Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=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 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(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=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function zu(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:z,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(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 ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,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*u,16*c,256*f,256*h)}function lc(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 uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.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 he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new zi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,z=k.sections;I<z.length;I+=1){var D=z[I];if(D.image)f[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,O,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 u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.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 v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.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))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.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},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.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 u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=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,O=b.sectionIndex,I=d.vertexLength,z=C[1];sc(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(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),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.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))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.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,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);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)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.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))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.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)},hc.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},hc.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})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.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},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}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()||cn(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 hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.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 he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=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}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.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 Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?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},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.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)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=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()})};Lc.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))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Pc(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]}Cc.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=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.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)}},Cc.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(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(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?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Oc=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]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof zc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(zc.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 zc(e.lng,e.lat),this._ne=new zc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new zc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new zc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new zc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=zc.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},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,zc=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\")};zc.prototype.wrap=function(){return new zc(h(this.lng,-180,180),this.lat)},zc.prototype.toArray=function(){return[this.lng,this.lat]},zc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},zc.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 Ic*Math.acos(Math.min(i,1))},zc.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 Oc(new zc(this.lng-r,this.lat-e),new zc(this.lng+r,this.lat+e))},zc.convert=function(t){if(t instanceof zc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new zc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new zc(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 Dc=2*Math.PI*Ic;function Rc(t){return Dc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=zc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new zc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Dc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(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)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(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)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.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},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(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 Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.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))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.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])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.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)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=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}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=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},Zc={geometry:{configurable:!0}};Zc.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},Zc.geometry.set=function(t){this._geometry=t},Xc.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(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.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}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(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 tf(t,e){return e-t}Jc.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 u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){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),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new zi(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new zi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.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},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),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\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.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 hc){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 hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.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\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.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 Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new zi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new zi(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.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)},ef.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)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.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},ef.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 rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=zi,t.Event=zt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=zc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=Da,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,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=lc,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=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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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++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(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=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(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 kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(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 g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<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){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(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,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}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 c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!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 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,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{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=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;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]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.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=\"-transition\",T=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,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<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 u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=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}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;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 u=i-r,c=a-n,f=Math.max(u,c),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,O.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 z=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,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:z,image:I,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(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 u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.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()},Pt.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},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.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},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.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)},Pt.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))},Pt.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)},Pt.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)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).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(It).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(zt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].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,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;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)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(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(zt(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 It(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function zt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(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 Xt(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 Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.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},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var z=0,D=v;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;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 u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+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},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.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,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var z=C.map((function(t){return re(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;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.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 u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}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 v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.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])},ve.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])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=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:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=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=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,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:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,O=null,I=0,z=0,D=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=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&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);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,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||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?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(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,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var 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},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=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)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(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)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=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(m){var T=ze(y.text),k=_?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?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=ze(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:De;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?De:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var z=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var D=!0;if(u){var R=i.variableOffsets[v];R?(z=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||_,z.x,z.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?z.x:0,h?z.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function ze(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);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 Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];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 v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];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 u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[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]||[],u=n[a];u.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 c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],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 Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.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);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#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;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"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);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),ur=_r(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),cr=_r(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),br=_r(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.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=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},zr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=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:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(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 Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,zr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<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],O=E.circleArray[C+1],I=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,O,I,z,0),k.emplace(A++,P,O,I,z,1),k.emplace(A++,P,O,I,z,2),k.emplace(A++,P,O,I,z,3)}(!Kr||Kr.length<2*h)&&(Kr=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(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var z=0;z<O.numGlyphs;z++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,z=y||0!==v.pitch,D=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=z||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||z?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);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(v));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(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(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,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,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)&&un(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)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.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,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([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 u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,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){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var z=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=b.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;z=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:z,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(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 Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,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),m.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-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.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,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.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,Xe.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,O.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,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],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=c[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,c[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!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.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 Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.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 u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=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};Cn.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},Cn.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)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=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 Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={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}};Pn.prototype.clone=function(){var t=new Pn(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},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.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))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.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())},On.fov.get=function(){return this._fov/Math.PI*180},On.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())},On.zoom.get=function(){return this._zoom},On.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())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.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)},Pn.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.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)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.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())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.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])},Pn.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)))},Pn.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},Pn.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])},Pn.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]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,u=this.size,c=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<u.y?u.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<u.x?u.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=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=c,this._constraining=!1}},Pn.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},Pn.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},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.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 u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.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(Pn.prototype,On);var In=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})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.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(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),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+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.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(\"/\")},In.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},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var zn={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},zn),Rn=t.extend({deceleration:20,maxSpeed:1400},zn),Fn=t.extend({deceleration:1e3,maxSpeed:360},zn),Bn=t.extend({deceleration:1e3,maxSpeed:90},zn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(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 Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.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\"}}},Yn.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)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.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},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.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=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.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 Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}if(this._touches=i,!(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}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}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.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,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>vi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.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})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=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,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.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)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,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(),u=\"zoom\"in e?+e.zoom:a,c=\"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),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),u=this.getPadding(),c=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,c),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),O=function(t){return C(P)/C(P+_*t)},I=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},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))/_,I=function(){return 0},O=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/O(i);a.zoom=1===e?c:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.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},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.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}},Li.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 Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.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)}},Ci.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},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,zi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Pn(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 Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ii))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(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 Ye(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 Oi||zi&&r instanceof zi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,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,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Oi||zi&&r instanceof zi?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 Oi||zi&&r instanceof zi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}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)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!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&&Zi)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 Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({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\":Xi--,Zi=!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\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.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},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&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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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=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);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.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}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var z=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=D.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else P[2*I+1]=.5*P[2*I];I++}this.textWidth.push(P.length?.5*P[2*I-2]+P[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.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),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],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,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=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(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(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 c=[];function f(t){var e=[u(t.region,!1)];c.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 u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}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 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.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)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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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}}},11403:function(t){t.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},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(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===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(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}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var 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]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return 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vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"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=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],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(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=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=h(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=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(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=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({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 u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),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])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=v[4*D],E[8*z+1]=v[4*D+1],E[8*z+2]=v[4*D+2],E[8*z+3]=v[4*D+3];var R=O[z];E[8*z+4]=v[4*R],E[8*z+5]=v[4*R+1],E[8*z+6]=v[4*R+2],E[8*z+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(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[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(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}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(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]}t.exports=c,c.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)},c.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,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.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 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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(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],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 v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;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:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},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],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-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},c.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 u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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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},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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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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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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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},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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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},73040:function(t,e,r){var n=r(38700),i=r(50896);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 u=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(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,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 u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(u.local.invalidDate||u.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(u.local.differentCalendars||u.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.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,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.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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n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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+   "outputs": [],
    "source": [
     "# Show more detail by using a box plot\n",
     "# make sure values are floats\n",
@@ -3015,7 +206,7 @@
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From ab899202badab6bde40496f1b8f05b3164df88f6 Mon Sep 17 00:00:00 2001
From: micah johnson <micah.johnson150@gmail.com>
Date: Tue, 30 Jul 2024 13:46:32 -0600
Subject: [PATCH 06/21] First pass at introduction

---
 .../1_getting_started_example.ipynb           | 602 +++++++++++++-----
 .../snowex_database/images/data_examples.png  | Bin 0 -> 412370 bytes
 .../snowex_database/images/pits_not_bits.jpg  | Bin 0 -> 887062 bytes
 3 files changed, 441 insertions(+), 161 deletions(-)
 create mode 100644 book/tutorials/snowex_database/images/data_examples.png
 create mode 100644 book/tutorials/snowex_database/images/pits_not_bits.jpg

diff --git a/book/tutorials/snowex_database/1_getting_started_example.ipynb b/book/tutorials/snowex_database/1_getting_started_example.ipynb
index 4f57c0c..2f1e4cb 100644
--- a/book/tutorials/snowex_database/1_getting_started_example.ipynb
+++ b/book/tutorials/snowex_database/1_getting_started_example.ipynb
@@ -4,46 +4,30 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Introduction to the SnowEx Database "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n",
-    "## What we're gonna attempt to cover\n",
-    "* Introduction \n",
-    "* Database Structure/ Contents \n",
-    "* Forming Useful Queries \n",
-    "* Examples \n",
-    "* Exporting Data \n",
-    "* QGIS setup \n",
+    "# SnowEx Database Introduction\n",
     "\n",
-    "## Why a database?\n",
-    "> *<span style=\"font-size:12pt;\">\"Dude, I am into pits not bits. What gives?!\"</span>*\n",
+    "SnowEx has introduced a a unique opportunity to study SWE in a way thats unprecendented, but with more data comes new challenges. \n",
     "\n",
-    "- Standardizing diverse datasets\n",
-    "- Cross referencing data\n",
-    "- Enables GIS functionality\n",
-    "- Ready for use in your code\n",
-    "- Provenance!\n",
-    "- Ready for use in a GIS software like ArcGIS or QGIS!\n",
     "\n",
-    "### TL;DR Do less wrangling, do more crunching. \n",
+    "<img src=\"https://snowexsql.readthedocs.io/en/latest/_images/gallery_overview_example_12_0.png\" alt=\"Grand Mesa Overview\" width=\"1000px\">\n",
     "\n",
+    "**The SnowEx database is a resource that shortcuts the time it takes to ask cross dataset questions**\n",
     "\n",
-    "## What is it exactly?\n",
+    "      \n",
+    "- Standardizing diverse data\n",
+    "- Cross referencing data\n",
+    "- Provenance!\n",
+    "- Added GIS functionality\n",
+    "- Connect w/ ArcGIS or QGIS!\n",
+    "- **CITABLE** \n",
     "\n",
-    "* PostgreSQL database\n",
-    "* PostGIS extension\n",
-    "* Supports vector and raster data\n",
-    "* And a host of GIS operations\n",
+    "    * *2022- Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)*\n",
+    "    * *2024 - Thermal infrared shadow-hiding in GOES-R ABI imagery: snow and forest temperature observations from the SnowEx 2020 Grand Mesa field campaign* \n",
+    "      \n",
+    "      \n",
     "\n",
     "## What's in it?\n",
     "\n",
-    "**note:**`Data extent is limited to Grand Mesa and in EPSG:26912 for Hackweek!`\n",
-    "\n",
     "* Snow pits - Density, hardness profiles, grain types + sizes\n",
     "* Manual snow depths - TONS of depths, Can you say spirals?\n",
     "* Snow Micropenetrometer profiles - (Subsampled to every 100th)\n",
@@ -54,161 +38,457 @@
     "* Snow off DEM from USGS 3DEP \n",
     "* And almost all the associated metadata\n",
     "\n",
-    "**All this and more is easily indexed, cross referencable, and put into GIS ready formats!**\n",
+    "<img src=\"./images/data_examples.png\" alt=\"snowex examples\" style=\"width: 80%;\">\n",
     "\n",
-    "![](https://snowexsql.readthedocs.io/en/latest/_images/gallery_overview_example_12_0.png)\n",
+    "## Technically, what is it?\n",
     "\n",
+    "* PostgreSQL database\n",
+    "* PostGIS extension\n",
+    "* Supports vector and raster data\n",
+    "* And a host of GIS operations\n",
+    "* AND NOW WITH API!\n",
     "\n",
-    "## How do I get at this magical box of data?\n",
     "\n",
-    "* [SQL](https://www.postgresql.org/docs/13/tutorial-sql.html) \n",
-    "* [snowexsql](https://github.com/SnowEx/snowexsql/) <span style=\"font-size:20pt;\"> **&#8592;**</span>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Import the connection function from the snowexsql library\n",
-    "from snowexsql.db import get_db\n",
+    "### So whats the catch?\n",
+    "<img src=\"./images/pits_not_bits.jpg\" alignment=\"center\" width=\"800\"  />\n",
     "\n",
-    "# This is what you will use for all of hackweek to access the db\n",
-    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'\n",
     "\n",
-    "# Using the function get_db, we receive 2 ways to interact with the database\n",
-    "engine, session = get_db(db_name)\n"
+    "### TL;DR Do less wrangling, do more crunching. "
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### 1. Using the Engine Object\n",
-    "The `engine` object returned from the `get_db` function is not used much in the snowexsql library. It does allow you to use typical SQL \n",
-    "strings to interact with the database. \n",
-    "\n",
-    "**Note**: Users who have used python + SQL before will likely be more familiar with this approach. Additionally those who don't know python but know SQL will also be more comfortable here.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Form a typical SQL query and use python to populate the table name\n",
-    "qry = \"SELECT DISTINCT site_id FROM sites\"\n",
-    "\n",
-    "# Then we execute the sql command and collect the results\n",
-    "results = engine.execute(qry)\n",
+    "## How do I get at this magical box of data ?\n",
+    "* [SQL](https://www.postgresql.org/docs/13/tutorial-sql.html) \n",
+    "* [snowexsql](https://github.com/SnowEx/snowexsql/) <span style=\"font-size:20pt;\"> **&#8592; 😎**</span>\n",
     "\n",
-    "# Create a nice readable string to print the site names using python \n",
-    "out = ', '.join((row['site_id'] for row in results))\n",
     "\n",
-    "# Print it with a line return for readability\n",
-    "print(out + '\\n')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### 2. Using the Session Object\n",
-    "The session object allows a user to interact with the database in a pure python form. This approach is called Object Relational Mapping (ORM)."
+    "### Welcome to API Land"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Import the table classes from our data module which is where our ORM classes are defined \n",
-    "from  snowexsql.data import SiteData\n",
-    "\n",
-    "# Form the query to receive all the site_id from the sites table\n",
-    "qry = session.query(SiteData.site_id).distinct()\n",
-    "\n",
-    "# Execute the query and collect the results\n",
-    "results = qry.all()\n",
-    "\n",
-    "# Print it with a line return for readability\n",
-    "print(', '.join([row[0] for row in list(results)]))\n",
-    "\n",
-    "# Close your session to avoid hanging transactions\n",
-    "session.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
+   "execution_count": 16,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>version_number</th>\n",
+       "      <th>equipment</th>\n",
+       "      <th>value</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>northing</th>\n",
+       "      <th>easting</th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>utm_zone</th>\n",
+       "      <th>geom</th>\n",
+       "      <th>...</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>observers</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>109.0</td>\n",
+       "      <td>39.02857</td>\n",
+       "      <td>-108.14074</td>\n",
+       "      <td>4.323838e+06</td>\n",
+       "      <td>747510.215981</td>\n",
+       "      <td>3122.6</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747510.216 4323837.789)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5026</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>39.02858</td>\n",
+       "      <td>-108.14070</td>\n",
+       "      <td>4.323839e+06</td>\n",
+       "      <td>747513.644247</td>\n",
+       "      <td>3122.7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747513.644 4323839.007)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5027</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>122.0</td>\n",
+       "      <td>39.02858</td>\n",
+       "      <td>-108.14067</td>\n",
+       "      <td>4.323839e+06</td>\n",
+       "      <td>747516.241630</td>\n",
+       "      <td>3123.6</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747516.242 4323839.089)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5028</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>121.0</td>\n",
+       "      <td>39.02858</td>\n",
+       "      <td>-108.14067</td>\n",
+       "      <td>4.323839e+06</td>\n",
+       "      <td>747516.241630</td>\n",
+       "      <td>3123.5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747516.242 4323839.089)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5029</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>118.0</td>\n",
+       "      <td>39.02860</td>\n",
+       "      <td>-108.14065</td>\n",
+       "      <td>4.323841e+06</td>\n",
+       "      <td>747517.903394</td>\n",
+       "      <td>3123.1</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747517.903 4323841.364)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5030</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>195</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>39.02910</td>\n",
+       "      <td>-108.14299</td>\n",
+       "      <td>4.323890e+06</td>\n",
+       "      <td>747313.563476</td>\n",
+       "      <td>3121.9</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747313.563 4323890.494)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5221</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>196</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>103.0</td>\n",
+       "      <td>39.02911</td>\n",
+       "      <td>-108.14295</td>\n",
+       "      <td>4.323892e+06</td>\n",
+       "      <td>747316.991742</td>\n",
+       "      <td>3121.7</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747316.992 4323891.713)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5222</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>197</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>39.02912</td>\n",
+       "      <td>-108.14292</td>\n",
+       "      <td>4.323893e+06</td>\n",
+       "      <td>747319.554219</td>\n",
+       "      <td>3121.6</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747319.554 4323892.905)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5223</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>198</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>39.02912</td>\n",
+       "      <td>-108.14290</td>\n",
+       "      <td>4.323893e+06</td>\n",
+       "      <td>747321.285794</td>\n",
+       "      <td>3122.0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747321.286 4323892.959)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5224</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>199</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_B</td>\n",
+       "      <td>106.0</td>\n",
+       "      <td>39.02914</td>\n",
+       "      <td>-108.14287</td>\n",
+       "      <td>4.323895e+06</td>\n",
+       "      <td>747323.813386</td>\n",
+       "      <td>3122.5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (747323.813 4323895.261)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>5225</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>200 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     version_number equipment  value  latitude  longitude      northing  \\\n",
+       "0                 1   CRREL_B  109.0  39.02857 -108.14074  4.323838e+06   \n",
+       "1                 1   CRREL_B  113.0  39.02858 -108.14070  4.323839e+06   \n",
+       "2                 1   CRREL_B  122.0  39.02858 -108.14067  4.323839e+06   \n",
+       "3                 1   CRREL_B  121.0  39.02858 -108.14067  4.323839e+06   \n",
+       "4                 1   CRREL_B  118.0  39.02860 -108.14065  4.323841e+06   \n",
+       "..              ...       ...    ...       ...        ...           ...   \n",
+       "195               1   CRREL_B  102.0  39.02910 -108.14299  4.323890e+06   \n",
+       "196               1   CRREL_B  103.0  39.02911 -108.14295  4.323892e+06   \n",
+       "197               1   CRREL_B  102.0  39.02912 -108.14292  4.323893e+06   \n",
+       "198               1   CRREL_B  106.0  39.02912 -108.14290  4.323893e+06   \n",
+       "199               1   CRREL_B  106.0  39.02914 -108.14287  4.323895e+06   \n",
+       "\n",
+       "           easting  elevation  utm_zone                            geom  ...  \\\n",
+       "0    747510.215981     3122.6        12  POINT (747510.216 4323837.789)  ...   \n",
+       "1    747513.644247     3122.7        12  POINT (747513.644 4323839.007)  ...   \n",
+       "2    747516.241630     3123.6        12  POINT (747516.242 4323839.089)  ...   \n",
+       "3    747516.241630     3123.5        12  POINT (747516.242 4323839.089)  ...   \n",
+       "4    747517.903394     3123.1        12  POINT (747517.903 4323841.364)  ...   \n",
+       "..             ...        ...       ...                             ...  ...   \n",
+       "195  747313.563476     3121.9        12  POINT (747313.563 4323890.494)  ...   \n",
+       "196  747316.991742     3121.7        12  POINT (747316.992 4323891.713)  ...   \n",
+       "197  747319.554219     3121.6        12  POINT (747319.554 4323892.905)  ...   \n",
+       "198  747321.285794     3122.0        12  POINT (747321.286 4323892.959)  ...   \n",
+       "199  747323.813386     3122.5        12  POINT (747323.813 4323895.261)  ...   \n",
+       "\n",
+       "           date                     time_created time_updated    id  \\\n",
+       "0    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5026   \n",
+       "1    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5027   \n",
+       "2    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5028   \n",
+       "3    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5029   \n",
+       "4    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5030   \n",
+       "..          ...                              ...          ...   ...   \n",
+       "195  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5221   \n",
+       "196  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5222   \n",
+       "197  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5223   \n",
+       "198  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5224   \n",
+       "199  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5225   \n",
+       "\n",
+       "                                      doi date_accessed  instrument   type  \\\n",
+       "0    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "1    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "2    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "3    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "4    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "..                                    ...           ...         ...    ...   \n",
+       "195  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "196  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "197  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "198  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "199  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "\n",
+       "    units observers  \n",
+       "0      cm      None  \n",
+       "1      cm      None  \n",
+       "2      cm      None  \n",
+       "3      cm      None  \n",
+       "4      cm      None  \n",
+       "..    ...       ...  \n",
+       "195    cm      None  \n",
+       "196    cm      None  \n",
+       "197    cm      None  \n",
+       "198    cm      None  \n",
+       "199    cm      None  \n",
+       "\n",
+       "[200 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "#### Crash Course in Object Relational Mapping (ORM)\n",
-    "\n",
-    "**Question**: How is a database used in pure python?!...Are you down with the O.O.P? The answer is as a Class where each column is mapped to that class as an attribute e.g. obj.attribute AND... in the correct type for python!\n",
-    "\n",
-    "Consider the following table:\n",
-    "\n",
-    "\n",
-    "| id  | site_id | ground_roughness |\n",
-    "| ----|---------| -----------------|\n",
-    "| 0   | GML     |        rough     | \n",
-    "| 1   | 2S27    |        smooth    | \n",
-    "| 2   | 3S52    |        smooth    | \n",
-    "\n",
-    "\n",
-    "In our python repo we have a made up class `SiteData` defined to map to this table.\n",
-    "\n",
-    "``` python \n",
-    "     \n",
-    "    from snowexsql.data import SiteData\n",
-    "    \n",
-    "```    \n",
-    "\n",
-    "| id           | site_id          | ground_roughness          |\n",
-    "| -------------|------------------| --------------------------|\n",
-    "| SiteData.id  | SiteData.site_id | SiteData.ground_roughness | \n",
-    "| SiteData.id  | SiteData.site_id | SiteData.ground_roughness | \n",
-    "| SiteData.id  | SiteData.site_id | SiteData.ground_roughness | \n",
-    "\n",
-    "\n",
-    "If we queried the whole table above using the session object we would get back 3 Sitedata objects in a list. 1 for each row.   \n",
-    "\n",
-    "``` console\n",
-    "[<snowexsql.data.SiteData object at 0x7fcf0f9bea90>, <snowexsql.data.SiteData object at 0x7fcf0f9bec70>, <snowexsql.data.SiteData object at 0x7fcf0f9bed00>]\n",
-    "```\n",
-    "\n",
-    "\n",
-    "This at first doesn't seem useful until you start to use the objects.\n",
-    "\n",
-    "``` python \n",
-    "\n",
-    "print(my_queried_data[0].ground_roughness)\n",
-    "```\n",
-    "\n",
-    "``` console\n",
-    "rough\n",
-    "```\n",
-    "\n",
-    "**Question**\n",
-    "\n",
-    "* How would you access from our list the `site_id` of the 2nd row?\n"
+    "from snowexsql.api import PointMeasurements\n",
+    "df = PointMeasurements.from_filter(type=\"depth\", instrument=\"magnaprobe\", limit=200)\n",
+    "df.plot()\n",
+    "df"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Recap\n",
-    "\n",
-    "You just:\n",
-    "\n",
-    "* Accessed a geodatabase using python \n",
-    "* Saw two methods for interacting with the db using the snowexsql library\n",
-    "* Pulled all the unique pit site id numbers from the db \n",
-    "* Had a high level intro to ORM"
+    "### Old Ways \n",
+    "See previous presentations\n",
+    "Engine objects, session objects, and a crash course in ORM, oh my! \n",
+    "* [Hackweek 2021](https://snowex-2021.hackweek.io/tutorials/database/index.html)\n",
+    "* [Hackweek 2022](https://snowex-2022.hackweek.io/tutorials/database/index.html)"
    ]
   }
  ],
@@ -228,7 +508,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
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HcmV?d00001


From dc4ccbe56445ba502e87f36530d6bcd509327167 Mon Sep 17 00:00:00 2001
From: micah johnson <micah.johnson150@gmail.com>
Date: Tue, 30 Jul 2024 16:05:18 -0600
Subject: [PATCH 07/21] Working through #2 of the db tutorial

---
 .../2_database_structure.ipynb                | 154 +++++++-----------
 .../snowex_database/images/structure.png      | Bin 0 -> 94130 bytes
 2 files changed, 62 insertions(+), 92 deletions(-)
 create mode 100644 book/tutorials/snowex_database/images/structure.png

diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index 42d7fa5..d9fd04f 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -2,143 +2,113 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "dangerous-decrease",
+   "id": "443a62b0",
    "metadata": {},
    "source": [
     "# How is the Database Structured?\n",
     "\n",
     "The goal of the database is to hold as much of the SnowEx data in one place and make it easier to \n",
-    "do research with. With that in mind follow the steps below to see how the the data base is structured.\n",
-    "\n",
-    "\n",
-    "## What were about to do\n",
-    "\n",
-    "1. Access the database using the snowexsql python library \n",
-    "2. Query the database to see the underlying tables\n",
-    "3. Query each table to see what columns are available\n",
-    "4. Query to see what datasets are available\n",
-    "\n",
-    "## Process\n",
-    "\n",
-    "### Step 1: Get a database session"
+    "do research with. With that in mind follow the steps below to see how the the data base is structured.\n"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "artistic-thought",
+   "cell_type": "markdown",
+   "id": "e1b9c8e3",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# Import the connection function from the snowexsql library\n",
-    "from snowexsql.db import get_db\n",
+    "### Where do datasets live (i.e. tables)?\n",
     "\n",
-    "# This is what you will use for all of hackweek to access the db\n",
-    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'\n",
+    "Data in the database lives in 1 of 4 places. \n",
     "\n",
-    "# Using the function get_db, we receive 2 ways to interact with the database\n",
-    "engine, session = get_db(db_name)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "intensive-tracy",
-   "metadata": {},
-   "source": [
-    "### Step 2: Query the DB to see what tables are available"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "random-healthcare",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Output the list of tables in the database \n",
-    "engine.table_names()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "varying-anime",
-   "metadata": {},
-   "source": [
-    "We can also import classes that reflect these tables in python!"
+    "<img src=\"./images/structure.png\" alt=\"table_structure\" width=\"1000px\">\n",
+    "\n",
+    "\n",
+    "The 4th table is a table detailing the site informations. Lots and lots of metadata for which the API has not been written yet."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "imposed-thomson",
+   "execution_count": 3,
+   "id": "a4a28a93",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from snowexsql.data import LayerData, PointData, ImageData, SiteData"
+    "from snowexsql.api import PointMeasurements, LayerMeasurements, RasterMeasurements"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "liberal-binary",
+   "id": "a4fbe854",
    "metadata": {},
    "source": [
-    "### Step 3: Query a Table to see what columns you can use!\n",
-    "\n",
-    "In our python library [snowexsql](https://github.com/SnowEx/snowexsql/) there are classes that reflect the database tables. This makes it easier to use in python.\n",
-    "For google purposes this is also called Object Relational Mapping (ORM). \n",
-    "\n",
-    "Import the table class from [`snowexsql.data`](https://snowexsql.readthedocs.io/en/latest/snowexsql.html#module-snowexsql.data) and [`snowexsql.db.get_table_attributes`](https://snowexsql.readthedocs.io/en/latest/snowexsql.html#snowexsql.db.get_table_attributes). The use `get_table_attributes` to see what\n",
-    "columns are in each table!"
+    "### What info is available?\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "operational-province",
+   "execution_count": 10,
+   "id": "05edebd8",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "These are the available columns in the table:\n",
+      " \n",
+      "* version_number\n",
+      "* equipment\n",
+      "* value\n",
+      "* latitude\n",
+      "* longitude\n",
+      "* northing\n",
+      "* easting\n",
+      "* elevation\n",
+      "* utm_zone\n",
+      "* geom\n",
+      "* time\n",
+      "* site_id\n",
+      "* site_name\n",
+      "* date\n",
+      "* time_created\n",
+      "* time_updated\n",
+      "* id\n",
+      "* doi\n",
+      "* date_accessed\n",
+      "* instrument\n",
+      "* type\n",
+      "* units\n",
+      "* observers\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "# Import the class reflecting the points table in the db\n",
-    "from snowexsql.data import PointData\n",
-    "\n",
-    "# Import the function to investigate a table\n",
-    "from snowexsql.db import get_table_attributes\n",
+    "from snowexsql.api import PointMeasurements as measurements\n",
     "\n",
-    "# Use the function to see what columns are available to use. \n",
-    "db_columns = get_table_attributes(PointData)\n",
+    "# Grab one measurment to see what attributes are available\n",
+    "df = measurements.from_filter(type=\"density\", limit=1)\n",
     "\n",
     "# Print out the results nicely\n",
-    "print(\"These are the available columns in the table:\\n \\n* {}\\n\".format('\\n* '.join(db_columns)))\n"
+    "print(\"These are the available columns in the table:\\n \\n* {}\\n\".format('\\n* '.join(df.columns)))\n"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "fatal-collection",
+   "id": "6bc99e67",
    "metadata": {},
    "source": [
-    "**Try this:** Using what we just did, use `get_table_attributes` to look at the other tables.\n",
-    "\n",
-    "**Hint**: You have to change the table class name in two places in the above code block.\n",
+    "**Try this:** Using what we just did, but swap out PointMeasurements for LayerMeasurements.\n",
     "\n",
-    "## Discussion: What's the difference in these tables?\n",
+    "`RasterMeasurements` is still being built out for ease of use but it would still have some limitations. So for now it doesnt have the `from_filter` function.\n",
     "\n",
-    "If working by yourself checkout the readthedocs page on [database structure](https://snowexsql.readthedocs.io/en/latest/database_structure.html) to see how data gets categorized. \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "92bfaa6c-d489-4abc-a485-757cb914358a",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Close out the session to avoid hanging transactions\n",
-    "session.close()"
+    "For more detail, checkout the readthedocs page on [database structure](https://snowexsql.readthedocs.io/en/latest/database_structure.html) to see how data gets categorized. "
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "immune-symphony",
+   "id": "81088ff6",
    "metadata": {},
    "source": [
     "## Bonus Step: Learning to help yourself\n",
@@ -162,7 +132,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "aging-volunteer",
+   "id": "96478a34",
    "metadata": {},
    "source": [
     "## Recap \n",
@@ -193,7 +163,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,
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HcmV?d00001


From 0d9db15bfc08d603ca13d795f17dcbeefd24cfa0 Mon Sep 17 00:00:00 2001
From: micah johnson <micah.johnson150@gmail.com>
Date: Tue, 30 Jul 2024 16:35:22 -0600
Subject: [PATCH 08/21] Working on tutorial for forming queries with the API

---
 .../2_database_structure.ipynb                |   16 +-
 .../snowex_database/3_forming_queries.ipynb   | 1017 ++++++++++++++---
 2 files changed, 886 insertions(+), 147 deletions(-)

diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index d9fd04f..125e2d4 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "443a62b0",
+   "id": "8d563d3c",
    "metadata": {},
    "source": [
     "# How is the Database Structured?\n",
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e1b9c8e3",
+   "id": "a9f0a9c7",
    "metadata": {},
    "source": [
     "### Where do datasets live (i.e. tables)?\n",
@@ -29,7 +29,7 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "a4a28a93",
+   "id": "979fad96",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,7 +38,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a4fbe854",
+   "id": "07bf71eb",
    "metadata": {},
    "source": [
     "### What info is available?\n"
@@ -47,7 +47,7 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "05edebd8",
+   "id": "8fd4e693",
    "metadata": {},
    "outputs": [
     {
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6bc99e67",
+   "id": "ba2df485",
    "metadata": {},
    "source": [
     "**Try this:** Using what we just did, but swap out PointMeasurements for LayerMeasurements.\n",
@@ -108,7 +108,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "81088ff6",
+   "id": "6d106e6e",
    "metadata": {},
    "source": [
     "## Bonus Step: Learning to help yourself\n",
@@ -132,7 +132,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "96478a34",
+   "id": "fbe9ae13",
    "metadata": {},
    "source": [
     "## Recap \n",
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
index b0dba69..8e5eea7 100644
--- a/book/tutorials/snowex_database/3_forming_queries.ipynb
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -6,93 +6,868 @@
    "source": [
     "# Forming Queries\n",
     "\n",
-    "Get Familiar with querying the database. BUT don't forget your [cheat sheets](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html)! \n",
+    "Get familiar with the tools available for querying the database.\n",
     "\n",
-    "## Process\n",
-    "### Getting Connected\n",
-    "Getting connected to the database is easiest done using the snowexsql library function [`get_db`](https://snowexsql.readthedocs.io/en/latest/snowexsql.html#snowexsql.db.get_db)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Import the function to get connect to the db\n",
-    "from snowexsql.db import get_db\n",
     "\n",
-    "# This is what you will use for all of hackweek to access the db\n",
-    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Importing the tables classes\n",
-    "These are critical for build queries. You will need at least one of these every query since they reflect the data were interested in.\n"
+    "We have two options, `from_filter` and `from_area`"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
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+       "      <th></th>\n",
+       "      <th>depth</th>\n",
+       "      <th>site_id</th>\n",
+       "      <th>pit_id</th>\n",
+       "      <th>bottom_depth</th>\n",
+       "      <th>comments</th>\n",
+       "      <th>sample_a</th>\n",
+       "      <th>sample_b</th>\n",
+       "      <th>sample_c</th>\n",
+       "      <th>value</th>\n",
+       "      <th>flags</th>\n",
+       "      <th>...</th>\n",
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+       "      <td>None</td>\n",
+       "      <td>268.0</td>\n",
+       "      <td>AD</td>\n",
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+       "      <td>2022-06-30</td>\n",
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+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>31.0</td>\n",
+       "      <td>Banner Open</td>\n",
+       "      <td>IDBRBO_20191218_1424</td>\n",
+       "      <td>21.0</td>\n",
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+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
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+       "      <td>377.0</td>\n",
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+       "      <td>2022-06-30 22:41:24.610808+00:00</td>\n",
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+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>21.0</td>\n",
+       "      <td>Banner Open</td>\n",
+       "      <td>IDBRBO_20191218_1424</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>228.0</td>\n",
+       "      <td>AD</td>\n",
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+       "      <td>2019-12-18</td>\n",
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+       "      <td>None</td>\n",
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+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>Banner Open</td>\n",
+       "      <td>IDBRBO_20191218_1424</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>243.0</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2022-06-30 22:41:24.610808+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>22605</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>41.0</td>\n",
+       "      <td>Banner Open</td>\n",
+       "      <td>IDBRBO_20191218_1424</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>268.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>268.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2022-06-30 22:41:24.702514+00:00</td>\n",
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+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>31.0</td>\n",
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+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
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+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
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+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
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+       "      <td>127.0</td>\n",
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+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
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+       "    <tr>\n",
+       "      <th>9</th>\n",
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+       "      <td>2019-12-18</td>\n",
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+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>17.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>226.0</td>\n",
+       "      <td>233.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>229.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2022-06-30 22:41:28.401134+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>23408</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>248.0</td>\n",
+       "      <td>259.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>253.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2022-06-30 22:41:28.401134+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>23409</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>47.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>129.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2022-06-30 22:41:28.440857+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>23410</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>37.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>167.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2022-06-30 22:41:28.440857+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>23411</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>27.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>229.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2022-06-30 22:41:28.440857+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>23412</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>253.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2022-06-30 22:41:28.440857+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>23413</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>57.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>206.0</td>\n",
+       "      <td>157.0</td>\n",
+       "      <td>181.0</td>\n",
+       "      <td>181.33333333333334</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24292</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>47.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>232.0</td>\n",
+       "      <td>237.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>234.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24293</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>37.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>249.0</td>\n",
+       "      <td>252.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>250.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24294</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>27.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>286.0</td>\n",
+       "      <td>296.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24295</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>268.0</td>\n",
+       "      <td>265.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>266.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24296</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>57.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>181.33333333333331</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24297</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>47.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>234.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24298</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>37.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>250.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24299</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>27.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24300</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>266.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24301</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>26 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    depth        site_id                pit_id  bottom_depth comments  \\\n",
+       "0    41.0    Banner Open  IDBRBO_20191218_1424          31.0     None   \n",
+       "1    31.0    Banner Open  IDBRBO_20191218_1424          21.0     None   \n",
+       "2    21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
+       "3    11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
+       "4    41.0    Banner Open  IDBRBO_20191218_1424          31.0     None   \n",
+       "5    31.0    Banner Open  IDBRBO_20191218_1424          21.0     None   \n",
+       "6    21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
+       "7    11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
+       "8    47.0  Banner Snotel  IDBRBS_20191218_1000          37.0     None   \n",
+       "9    37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
+       "10   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
+       "11   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
+       "12   47.0  Banner Snotel  IDBRBS_20191218_1000          37.0     None   \n",
+       "13   37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
+       "14   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
+       "15   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
+       "16   57.0    Bogus Upper  IDBRBU_20191219_1000          47.0     None   \n",
+       "17   47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
+       "18   37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
+       "19   27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
+       "20   17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
+       "21   57.0    Bogus Upper  IDBRBU_20191219_1000          47.0     None   \n",
+       "22   47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
+       "23   37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
+       "24   27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
+       "25   17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
+       "\n",
+       "   sample_a sample_b sample_c               value flags  ...        date  \\\n",
+       "0      None     None     None               268.0    AD  ...  2019-12-18   \n",
+       "1      None     None     None               377.0    AD  ...  2019-12-18   \n",
+       "2      None     None     None               228.0    AD  ...  2019-12-18   \n",
+       "3      None     None     None               243.0    AD  ...  2019-12-18   \n",
+       "4     268.0     None     None               268.0    AD  ...  2019-12-18   \n",
+       "5     377.0     None     None               377.0    AD  ...  2019-12-18   \n",
+       "6     228.0     None     None               228.0    AD  ...  2019-12-18   \n",
+       "7     243.0     None     None               243.0    AD  ...  2019-12-18   \n",
+       "8     127.0    131.0     None               129.0    AD  ...  2019-12-18   \n",
+       "9     173.0    161.0     None               167.0    AD  ...  2019-12-18   \n",
+       "10    226.0    233.0     None               229.5    AD  ...  2019-12-18   \n",
+       "11    248.0    259.0     None               253.5    AD  ...  2019-12-18   \n",
+       "12     None     None     None               129.0    AD  ...  2019-12-18   \n",
+       "13     None     None     None               167.0    AD  ...  2019-12-18   \n",
+       "14     None     None     None               229.5    AD  ...  2019-12-18   \n",
+       "15     None     None     None               253.5    AD  ...  2019-12-18   \n",
+       "16    206.0    157.0    181.0  181.33333333333334    AD  ...  2019-12-19   \n",
+       "17    232.0    237.0      NaN               234.5    AD  ...  2019-12-19   \n",
+       "18    249.0    252.0      NaN               250.5    AD  ...  2019-12-19   \n",
+       "19    286.0    296.0      NaN               291.0    AD  ...  2019-12-19   \n",
+       "20    268.0    265.0      NaN               266.5    AD  ...  2019-12-19   \n",
+       "21     None     None     None  181.33333333333331    AD  ...  2019-12-19   \n",
+       "22     None     None     None               234.5    AD  ...  2019-12-19   \n",
+       "23     None     None     None               250.5    AD  ...  2019-12-19   \n",
+       "24     None     None     None               291.0    AD  ...  2019-12-19   \n",
+       "25     None     None     None               266.5    AD  ...  2019-12-19   \n",
+       "\n",
+       "                       time_created  time_updated     id   doi  date_accessed  \\\n",
+       "0  2022-06-30 22:41:24.610808+00:00          None  22602  None     2022-06-30   \n",
+       "1  2022-06-30 22:41:24.610808+00:00          None  22603  None     2022-06-30   \n",
+       "2  2022-06-30 22:41:24.610808+00:00          None  22604  None     2022-06-30   \n",
+       "3  2022-06-30 22:41:24.610808+00:00          None  22605  None     2022-06-30   \n",
+       "4  2022-06-30 22:41:24.702514+00:00          None  22614  None     2022-06-30   \n",
+       "5  2022-06-30 22:41:24.702514+00:00          None  22615  None     2022-06-30   \n",
+       "6  2022-06-30 22:41:24.702514+00:00          None  22616  None     2022-06-30   \n",
+       "7  2022-06-30 22:41:24.702514+00:00          None  22617  None     2022-06-30   \n",
+       "8  2022-06-30 22:41:28.401134+00:00          None  23406  None     2022-06-30   \n",
+       "9  2022-06-30 22:41:28.401134+00:00          None  23407  None     2022-06-30   \n",
+       "10 2022-06-30 22:41:28.401134+00:00          None  23408  None     2022-06-30   \n",
+       "11 2022-06-30 22:41:28.401134+00:00          None  23409  None     2022-06-30   \n",
+       "12 2022-06-30 22:41:28.440857+00:00          None  23410  None     2022-06-30   \n",
+       "13 2022-06-30 22:41:28.440857+00:00          None  23411  None     2022-06-30   \n",
+       "14 2022-06-30 22:41:28.440857+00:00          None  23412  None     2022-06-30   \n",
+       "15 2022-06-30 22:41:28.440857+00:00          None  23413  None     2022-06-30   \n",
+       "16 2022-06-30 22:41:32.716527+00:00          None  24292  None     2022-06-30   \n",
+       "17 2022-06-30 22:41:32.716527+00:00          None  24293  None     2022-06-30   \n",
+       "18 2022-06-30 22:41:32.716527+00:00          None  24294  None     2022-06-30   \n",
+       "19 2022-06-30 22:41:32.716527+00:00          None  24295  None     2022-06-30   \n",
+       "20 2022-06-30 22:41:32.716527+00:00          None  24296  None     2022-06-30   \n",
+       "21 2022-06-30 22:41:32.752326+00:00          None  24297  None     2022-06-30   \n",
+       "22 2022-06-30 22:41:32.752326+00:00          None  24298  None     2022-06-30   \n",
+       "23 2022-06-30 22:41:32.752326+00:00          None  24299  None     2022-06-30   \n",
+       "24 2022-06-30 22:41:32.752326+00:00          None  24300  None     2022-06-30   \n",
+       "25 2022-06-30 22:41:32.752326+00:00          None  24301  None     2022-06-30   \n",
+       "\n",
+       "   instrument     type units observers  \n",
+       "0        None  density  None      None  \n",
+       "1        None  density  None      None  \n",
+       "2        None  density  None      None  \n",
+       "3        None  density  None      None  \n",
+       "4        None  density  None      None  \n",
+       "5        None  density  None      None  \n",
+       "6        None  density  None      None  \n",
+       "7        None  density  None      None  \n",
+       "8        None  density  None      None  \n",
+       "9        None  density  None      None  \n",
+       "10       None  density  None      None  \n",
+       "11       None  density  None      None  \n",
+       "12       None  density  None      None  \n",
+       "13       None  density  None      None  \n",
+       "14       None  density  None      None  \n",
+       "15       None  density  None      None  \n",
+       "16       None  density  None      None  \n",
+       "17       None  density  None      None  \n",
+       "18       None  density  None      None  \n",
+       "19       None  density  None      None  \n",
+       "20       None  density  None      None  \n",
+       "21       None  density  None      None  \n",
+       "22       None  density  None      None  \n",
+       "23       None  density  None      None  \n",
+       "24       None  density  None      None  \n",
+       "25       None  density  None      None  \n",
+       "\n",
+       "[26 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "from snowexsql.data import SiteData, PointData, LayerData, ImageData"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Query Time!\n",
-    "We build queries in python using `session.query()`. Whatever we put inside of the query parentheses is what we will get back in the results!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# This is what you will use for all of hackweek to access the db\n",
-    "engine, session = get_db(db_name)\n",
+    "from snowexsql.api import LayerMeasurements\n",
+    "from datetime import datetime \n",
     "\n",
-    "# Lets grab a single row from the points table\n",
-    "qry = session.query(PointData).limit(1)\n",
+    "# Find some density pit measurements at the Boise site in december 2019.\n",
+    "df = LayerMeasurements.from_filter(\n",
+    "    type=\"density\",\n",
+    "    site_name=\"Boise River Basin\",\n",
+    "    date_less_equal=datetime(2020, 1, 1),\n",
+    "    date_greater_equal=datetime(2019, 12, 1),\n",
+    "    limit=1000\n",
+    ")\n",
     "\n",
-    "# Execute that query!\n",
-    "result = qry.all()\n",
     "\n",
-    "session.close()"
+    "df"
    ]
   },
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 23,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f772e021e50>"
+      ]
+     },
+     "execution_count": 23,
+     "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": [
-    "Pause for moment and consider what is in `result`....\n",
+    "from snowexsql.api import LayerMeasurements\n",
+    "from datetime import datetime \n",
+    "from shapely.geometry import Point \n",
     "\n",
+    "# Find some density pit measurements at the Boise site in december 2019.\n",
+    "df = LayerMeasurements.from_area(pt=Point(740820.624625,4.327326e+06), crs=26912, buffer=500,\n",
+    "    type='specific_surface_area')\n",
     "\n",
-    "Is it:\n",
     "\n",
-    "    A. a single value\n",
-    "    B. a bunch of values\n",
-    "    C. an object\n",
-    "    D. a row of values\n",
-    " "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# uncomment the line below and print out the results \n",
-    "print(result)"
+    "df.plot()"
    ]
   },
   {
@@ -102,95 +877,52 @@
     "This feels soooo *limited* :)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": [
-     "nbsphinx-gallery",
-     "nbsphinx-thumbnail"
-    ]
-   },
-   "source": [
-    "**Questions**\n",
-    "* What happens if we changed the number in the limit? What will we get back?\n",
-    "* Where are our column names?\n",
-    "* What if I only wanted a single column and not a whole row?\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Filtering\n",
-    "The database had a silly number of records, and asking for all of them will crash your computer. \n",
-    "\n",
-    "So let talk about using `.filter()`\n",
-    "\n",
-    "All queries can be reduced by applying `session.query(__).filter(__)` and a lot can go into the parentheses. This is where your cheat sheet will come in handy."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# This is what you will use for all of hackweek to access the db\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "# Its convenient to store a query like the following \n",
-    "qry = session.query(LayerData)\n",
-    "\n",
-    "# Then filter on it to just density profiles\n",
-    "qry = qry.filter(LayerData.type == 'density')\n",
-    "\n",
-    "# protect ourselves from a lot of data\n",
-    "qry = qry.limit(5)\n",
-    "\n",
-    "result = qry.all()\n",
-    "print(result)\n",
-    "\n",
-    "session.close()"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "**Questions**\n",
-    "* What happens if I filter on a qry that's been filtered?\n",
-    "* What happens if I just want a single column/attribute back? How do I do that?\n",
-    "\n",
     "### How do I know what to filter on?\n",
-    "Queries and `.distinct()`!"
+    "We got a tool for that!"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Available types = swe, depth, two_way_travel\n",
+      "\n",
+      "Available Instruments = None, Mala 1600 MHz GPR, Mala 800 MHz GPR, pulse EKKO Pro multi-polarization 1 GHz GPR, pit ruler, mesa, magnaprobe, camera\n",
+      "\n",
+      "Available Dates = 2020-05-28, 2020-01-09, 2020-05-23, 2020-01-04, 2019-11-29, 2019-10-20, 2019-11-30, 2020-04-17, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2020-04-01, 2020-05-14, 2019-10-29, 2019-10-14, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-29, 2020-04-26, 2019-10-12, 2020-02-23, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2020-02-12, 2020-05-06, 2019-11-19, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2019-12-27, 2019-10-01, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2020-03-07, 2019-10-31, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2019-12-25, 2019-12-14, 2019-10-24, 2020-03-11, 2020-02-01, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2019-10-10, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2019-12-26, 2019-12-15, 2020-05-07, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2020-03-15, 2020-01-16, 2019-11-23, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2020-05-31, 2020-03-04, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2019-10-09, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2020-02-21, 2019-10-30, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2019-12-22, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2020-02-22, 2020-05-08, 2020-01-24, 2019-12-24, 2020-04-22, 2020-03-31, 2020-01-08, 2019-11-04, 2020-02-06, 2020-03-05, 2020-03-14, 2020-06-09, 2020-02-20, 2020-04-05, 2020-06-03, 2019-10-16, 2020-04-15, 2019-12-03, 2020-05-30, 2019-11-09, 2020-04-28, 2020-01-12, 2020-05-20, 2020-05-02, 2020-01-28, 2020-02-05, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2020-04-09, 2019-09-30, 2020-01-05, 2019-10-27, 2020-04-10, 2020-03-16, 2020-03-21, 2020-02-02, 2020-04-08, 2020-02-25, 2020-01-29, 2019-12-04, 2019-11-26, 2020-03-19, 2020-01-20, 2020-02-27, 2019-12-31, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-03-01, 2020-02-17, 2020-05-21, 2019-10-23, 2020-04-11, 2019-10-21, 2019-11-25, 2020-04-12, 2020-03-13, 2020-05-01, 2020-03-08, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2020-05-15, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2020-05-18, 2019-12-05, 2019-11-20, 2020-06-06, 2019-11-18, 2020-06-10, 2020-01-27, 2020-01-18, 2020-06-04, 2020-04-27, 2020-03-25, 2019-10-15, 2020-03-26, 2019-10-03\n",
+      "\n",
+      "Available sites = None, Grand Mesa\n"
+     ]
+    }
+   ],
    "source": [
-    "# This is what you will use for all of hackweek to access the db\n",
-    "engine, session = get_db(db_name)\n",
+    "from snowexsql.api import PointMeasurements\n",
     "\n",
-    "# Get the unique datanames in the table\n",
-    "results = session.query(LayerData.type).distinct().all()\n",
-    "print('Available types = {}'.format(', '.join([r[0] for r in results])))\n",
+    "measurements = PointMeasurements()\n",
+    "# Get the unique data names/types in the table\n",
+    "results = measurements.all_types\n",
+    "print('Available types = {}'.format(', '.join([str(r[0]) for r in results])))\n",
     "\n",
     "# Get the unique instrument in the table\n",
-    "results = session.query(LayerData.instrument).distinct().all()\n",
+    "results = measurements.all_instruments\n",
     "print('\\nAvailable Instruments = {}'.format(', '.join([str(r[0]) for r in results])))\n",
     "\n",
     "# Get the unique dates in the table\n",
-    "results = session.query(LayerData.date).distinct().all()\n",
+    "results = measurements.all_dates\n",
     "print('\\nAvailable Dates = {}'.format(', '.join([str(r[0]) for r in results])))\n",
     "\n",
-    "# Get the unique surveyors in the table\n",
-    "results = session.query(LayerData.observers).distinct().all()\n",
-    "print('\\nAvailable surveyors = {}'.format(', '.join([str(r[0]) for r in results])))\n",
-    "\n",
-    "session.close()"
+    "# Get the unique site names in the table\n",
+    "results = measurements.all_site_names\n",
+    "print('\\nAvailable sites = {}'.format(', '.join([str(r[0]) for r in results])))"
    ]
   },
   {
@@ -207,6 +939,13 @@
     "\n",
     "If you don't feel comfortable with these, you are probably not alone, let's discuss it!"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -225,7 +964,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.8.10"
   }
  },
  "nbformat": 4,

From d8fecabe5a14112b85da9b74b5181d9b3b17ad4f Mon Sep 17 00:00:00 2001
From: micah johnson <micah.johnson150@gmail.com>
Date: Thu, 1 Aug 2024 14:37:00 -0600
Subject: [PATCH 09/21] A  bit of cleanup

---
 .../1_getting_started_example.ipynb           | 246 +++++++++---------
 1 file changed, 125 insertions(+), 121 deletions(-)

diff --git a/book/tutorials/snowex_database/1_getting_started_example.ipynb b/book/tutorials/snowex_database/1_getting_started_example.ipynb
index 2f1e4cb..9b115a6 100644
--- a/book/tutorials/snowex_database/1_getting_started_example.ipynb
+++ b/book/tutorials/snowex_database/1_getting_started_example.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "# SnowEx Database Introduction\n",
     "\n",
-    "SnowEx has introduced a a unique opportunity to study SWE in a way thats unprecendented, but with more data comes new challenges. \n",
+    "SnowEx has introduced a a unique opportunity to study SWE in a way thats unprecedented, but with more data comes new challenges. \n",
     "\n",
     "\n",
     "<img src=\"https://snowexsql.readthedocs.io/en/latest/_images/gallery_overview_example_12_0.png\" alt=\"Grand Mesa Overview\" width=\"1000px\">\n",
@@ -29,7 +29,7 @@
     "## What's in it?\n",
     "\n",
     "* Snow pits - Density, hardness profiles, grain types + sizes\n",
-    "* Manual snow depths - TONS of depths, Can you say spirals?\n",
+    "* Manual snow depths - TONS of depths (Can you say spirals?)\n",
     "* Snow Micropenetrometer profiles - (Subsampled to every 100th)\n",
     "* Snow depth + SWE rasters from ASO inc\n",
     "* GPR\n",
@@ -50,6 +50,9 @@
     "\n",
     "\n",
     "### So whats the catch?\n",
+    "New tech can create barriers...\n",
+    "\n",
+    "\n",
     "<img src=\"./images/pits_not_bits.jpg\" alignment=\"center\" width=\"800\"  />\n",
     "\n",
     "\n",
@@ -70,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -122,19 +125,19 @@
        "      <th>0</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>109.0</td>\n",
-       "      <td>39.02857</td>\n",
-       "      <td>-108.14074</td>\n",
-       "      <td>4.323838e+06</td>\n",
-       "      <td>747510.215981</td>\n",
-       "      <td>3122.6</td>\n",
+       "      <td>94.0</td>\n",
+       "      <td>39.03045</td>\n",
+       "      <td>-108.13515</td>\n",
+       "      <td>4.324062e+06</td>\n",
+       "      <td>747987.619062</td>\n",
+       "      <td>3148.2</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747510.216 4323837.789)</td>\n",
+       "      <td>POINT (747987.619 4324061.706)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5026</td>\n",
+       "      <td>4070</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -146,19 +149,19 @@
        "      <th>1</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>113.0</td>\n",
-       "      <td>39.02858</td>\n",
-       "      <td>-108.14070</td>\n",
-       "      <td>4.323839e+06</td>\n",
-       "      <td>747513.644247</td>\n",
-       "      <td>3122.7</td>\n",
+       "      <td>74.0</td>\n",
+       "      <td>39.03045</td>\n",
+       "      <td>-108.13516</td>\n",
+       "      <td>4.324062e+06</td>\n",
+       "      <td>747986.753289</td>\n",
+       "      <td>3148.3</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747513.644 4323839.007)</td>\n",
+       "      <td>POINT (747986.753 4324061.679)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5027</td>\n",
+       "      <td>4071</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -170,19 +173,19 @@
        "      <th>2</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>122.0</td>\n",
-       "      <td>39.02858</td>\n",
-       "      <td>-108.14067</td>\n",
-       "      <td>4.323839e+06</td>\n",
-       "      <td>747516.241630</td>\n",
-       "      <td>3123.6</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>39.03045</td>\n",
+       "      <td>-108.13517</td>\n",
+       "      <td>4.324062e+06</td>\n",
+       "      <td>747985.887517</td>\n",
+       "      <td>3148.2</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747516.242 4323839.089)</td>\n",
+       "      <td>POINT (747985.888 4324061.652)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5028</td>\n",
+       "      <td>4072</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -194,19 +197,19 @@
        "      <th>3</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>121.0</td>\n",
-       "      <td>39.02858</td>\n",
-       "      <td>-108.14067</td>\n",
-       "      <td>4.323839e+06</td>\n",
-       "      <td>747516.241630</td>\n",
-       "      <td>3123.5</td>\n",
+       "      <td>87.0</td>\n",
+       "      <td>39.03044</td>\n",
+       "      <td>-108.13519</td>\n",
+       "      <td>4.324060e+06</td>\n",
+       "      <td>747984.190953</td>\n",
+       "      <td>3148.6</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747516.242 4323839.089)</td>\n",
+       "      <td>POINT (747984.191 4324060.487)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5029</td>\n",
+       "      <td>4073</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -218,19 +221,19 @@
        "      <th>4</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>118.0</td>\n",
-       "      <td>39.02860</td>\n",
-       "      <td>-108.14065</td>\n",
-       "      <td>4.323841e+06</td>\n",
-       "      <td>747517.903394</td>\n",
-       "      <td>3123.1</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>39.03042</td>\n",
+       "      <td>-108.13519</td>\n",
+       "      <td>4.324058e+06</td>\n",
+       "      <td>747984.260913</td>\n",
+       "      <td>3150.1</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747517.903 4323841.364)</td>\n",
+       "      <td>POINT (747984.261 4324058.267)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5030</td>\n",
+       "      <td>4074</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -266,19 +269,19 @@
        "      <th>195</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>102.0</td>\n",
-       "      <td>39.02910</td>\n",
-       "      <td>-108.14299</td>\n",
-       "      <td>4.323890e+06</td>\n",
-       "      <td>747313.563476</td>\n",
-       "      <td>3121.9</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>39.03001</td>\n",
+       "      <td>-108.13534</td>\n",
+       "      <td>4.324012e+06</td>\n",
+       "      <td>747972.708423</td>\n",
+       "      <td>3134.6</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747313.563 4323890.494)</td>\n",
+       "      <td>POINT (747972.708 4324012.348)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5221</td>\n",
+       "      <td>4265</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -290,19 +293,19 @@
        "      <th>196</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>103.0</td>\n",
-       "      <td>39.02911</td>\n",
-       "      <td>-108.14295</td>\n",
-       "      <td>4.323892e+06</td>\n",
-       "      <td>747316.991742</td>\n",
-       "      <td>3121.7</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>39.03001</td>\n",
+       "      <td>-108.13532</td>\n",
+       "      <td>4.324012e+06</td>\n",
+       "      <td>747974.439978</td>\n",
+       "      <td>3134.3</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747316.992 4323891.713)</td>\n",
+       "      <td>POINT (747974.44 4324012.402)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5222</td>\n",
+       "      <td>4266</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -314,19 +317,19 @@
        "      <th>197</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>102.0</td>\n",
-       "      <td>39.02912</td>\n",
-       "      <td>-108.14292</td>\n",
-       "      <td>4.323893e+06</td>\n",
-       "      <td>747319.554219</td>\n",
-       "      <td>3121.6</td>\n",
+       "      <td>109.0</td>\n",
+       "      <td>39.03000</td>\n",
+       "      <td>-108.13529</td>\n",
+       "      <td>4.324011e+06</td>\n",
+       "      <td>747977.072289</td>\n",
+       "      <td>3133.8</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747319.554 4323892.905)</td>\n",
+       "      <td>POINT (747977.072 4324011.374)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5223</td>\n",
+       "      <td>4267</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -338,19 +341,19 @@
        "      <th>198</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>106.0</td>\n",
-       "      <td>39.02912</td>\n",
-       "      <td>-108.14290</td>\n",
-       "      <td>4.323893e+06</td>\n",
-       "      <td>747321.285794</td>\n",
-       "      <td>3122.0</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>39.02999</td>\n",
+       "      <td>-108.13526</td>\n",
+       "      <td>4.324010e+06</td>\n",
+       "      <td>747979.704601</td>\n",
+       "      <td>3134.2</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747321.286 4323892.959)</td>\n",
+       "      <td>POINT (747979.705 4324010.346)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5224</td>\n",
+       "      <td>4268</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -362,19 +365,19 @@
        "      <th>199</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_B</td>\n",
-       "      <td>106.0</td>\n",
-       "      <td>39.02914</td>\n",
-       "      <td>-108.14287</td>\n",
-       "      <td>4.323895e+06</td>\n",
-       "      <td>747323.813386</td>\n",
-       "      <td>3122.5</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>39.02999</td>\n",
+       "      <td>-108.13524</td>\n",
+       "      <td>4.324010e+06</td>\n",
+       "      <td>747981.436157</td>\n",
+       "      <td>3133.1</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747323.813 4323895.261)</td>\n",
+       "      <td>POINT (747981.436 4324010.4)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>5225</td>\n",
+       "      <td>4269</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -389,43 +392,43 @@
       ],
       "text/plain": [
        "     version_number equipment  value  latitude  longitude      northing  \\\n",
-       "0                 1   CRREL_B  109.0  39.02857 -108.14074  4.323838e+06   \n",
-       "1                 1   CRREL_B  113.0  39.02858 -108.14070  4.323839e+06   \n",
-       "2                 1   CRREL_B  122.0  39.02858 -108.14067  4.323839e+06   \n",
-       "3                 1   CRREL_B  121.0  39.02858 -108.14067  4.323839e+06   \n",
-       "4                 1   CRREL_B  118.0  39.02860 -108.14065  4.323841e+06   \n",
+       "0                 1   CRREL_B   94.0  39.03045 -108.13515  4.324062e+06   \n",
+       "1                 1   CRREL_B   74.0  39.03045 -108.13516  4.324062e+06   \n",
+       "2                 1   CRREL_B   90.0  39.03045 -108.13517  4.324062e+06   \n",
+       "3                 1   CRREL_B   87.0  39.03044 -108.13519  4.324060e+06   \n",
+       "4                 1   CRREL_B   90.0  39.03042 -108.13519  4.324058e+06   \n",
        "..              ...       ...    ...       ...        ...           ...   \n",
-       "195               1   CRREL_B  102.0  39.02910 -108.14299  4.323890e+06   \n",
-       "196               1   CRREL_B  103.0  39.02911 -108.14295  4.323892e+06   \n",
-       "197               1   CRREL_B  102.0  39.02912 -108.14292  4.323893e+06   \n",
-       "198               1   CRREL_B  106.0  39.02912 -108.14290  4.323893e+06   \n",
-       "199               1   CRREL_B  106.0  39.02914 -108.14287  4.323895e+06   \n",
+       "195               1   CRREL_B  116.0  39.03001 -108.13534  4.324012e+06   \n",
+       "196               1   CRREL_B  102.0  39.03001 -108.13532  4.324012e+06   \n",
+       "197               1   CRREL_B  109.0  39.03000 -108.13529  4.324011e+06   \n",
+       "198               1   CRREL_B  112.0  39.02999 -108.13526  4.324010e+06   \n",
+       "199               1   CRREL_B  100.0  39.02999 -108.13524  4.324010e+06   \n",
        "\n",
        "           easting  elevation  utm_zone                            geom  ...  \\\n",
-       "0    747510.215981     3122.6        12  POINT (747510.216 4323837.789)  ...   \n",
-       "1    747513.644247     3122.7        12  POINT (747513.644 4323839.007)  ...   \n",
-       "2    747516.241630     3123.6        12  POINT (747516.242 4323839.089)  ...   \n",
-       "3    747516.241630     3123.5        12  POINT (747516.242 4323839.089)  ...   \n",
-       "4    747517.903394     3123.1        12  POINT (747517.903 4323841.364)  ...   \n",
+       "0    747987.619062     3148.2        12  POINT (747987.619 4324061.706)  ...   \n",
+       "1    747986.753289     3148.3        12  POINT (747986.753 4324061.679)  ...   \n",
+       "2    747985.887517     3148.2        12  POINT (747985.888 4324061.652)  ...   \n",
+       "3    747984.190953     3148.6        12  POINT (747984.191 4324060.487)  ...   \n",
+       "4    747984.260913     3150.1        12  POINT (747984.261 4324058.267)  ...   \n",
        "..             ...        ...       ...                             ...  ...   \n",
-       "195  747313.563476     3121.9        12  POINT (747313.563 4323890.494)  ...   \n",
-       "196  747316.991742     3121.7        12  POINT (747316.992 4323891.713)  ...   \n",
-       "197  747319.554219     3121.6        12  POINT (747319.554 4323892.905)  ...   \n",
-       "198  747321.285794     3122.0        12  POINT (747321.286 4323892.959)  ...   \n",
-       "199  747323.813386     3122.5        12  POINT (747323.813 4323895.261)  ...   \n",
+       "195  747972.708423     3134.6        12  POINT (747972.708 4324012.348)  ...   \n",
+       "196  747974.439978     3134.3        12   POINT (747974.44 4324012.402)  ...   \n",
+       "197  747977.072289     3133.8        12  POINT (747977.072 4324011.374)  ...   \n",
+       "198  747979.704601     3134.2        12  POINT (747979.705 4324010.346)  ...   \n",
+       "199  747981.436157     3133.1        12    POINT (747981.436 4324010.4)  ...   \n",
        "\n",
        "           date                     time_created time_updated    id  \\\n",
-       "0    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5026   \n",
-       "1    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5027   \n",
-       "2    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5028   \n",
-       "3    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5029   \n",
-       "4    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5030   \n",
+       "0    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4070   \n",
+       "1    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4071   \n",
+       "2    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4072   \n",
+       "3    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4073   \n",
+       "4    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4074   \n",
        "..          ...                              ...          ...   ...   \n",
-       "195  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5221   \n",
-       "196  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5222   \n",
-       "197  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5223   \n",
-       "198  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5224   \n",
-       "199  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  5225   \n",
+       "195  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4265   \n",
+       "196  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4266   \n",
+       "197  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4267   \n",
+       "198  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4268   \n",
+       "199  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4269   \n",
        "\n",
        "                                      doi date_accessed  instrument   type  \\\n",
        "0    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
@@ -456,20 +459,18 @@
        "[200 rows x 23 columns]"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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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"
     }
    ],
@@ -484,8 +485,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Old Ways \n",
+    "### Old Ways / Database Experts \n",
+    "Advanced queries can be made using SQL or SQAlchemy under the hood. \n",
+    "\n",
     "See previous presentations\n",
+    "\n",
     "Engine objects, session objects, and a crash course in ORM, oh my! \n",
     "* [Hackweek 2021](https://snowex-2021.hackweek.io/tutorials/database/index.html)\n",
     "* [Hackweek 2022](https://snowex-2022.hackweek.io/tutorials/database/index.html)"
@@ -508,7 +512,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,

From 026ce3001404a31f0bb4be695f512b6a91f7824d Mon Sep 17 00:00:00 2001
From: micah johnson <micah.johnson150@gmail.com>
Date: Thu, 1 Aug 2024 15:46:55 -0600
Subject: [PATCH 10/21] Updated minor things, added in most of the raster
 example

---
 .../2_database_structure.ipynb                |   56 +-
 .../snowex_database/3_forming_queries.ipynb   | 1269 +++++++----------
 .../4_get_spiral_example.ipynb                |  638 +++++++--
 .../5_plot_raster_example.ipynb               |  324 ++---
 4 files changed, 1177 insertions(+), 1110 deletions(-)

diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index 125e2d4..71daabd 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -23,12 +23,14 @@
     "<img src=\"./images/structure.png\" alt=\"table_structure\" width=\"1000px\">\n",
     "\n",
     "\n",
-    "The 4th table is a table detailing the site informations. Lots and lots of metadata for which the API has not been written yet."
+    "The 4th table is a table detailing the site informations. Lots and lots of metadata for which the API has not been written yet.\n",
+    "\n",
+    "So how does this look in python?"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "id": "979fad96",
    "metadata": {},
    "outputs": [],
@@ -41,12 +43,12 @@
    "id": "07bf71eb",
    "metadata": {},
    "source": [
-    "### What info is available?\n"
+    "### What can I use to filter a query?\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "id": "8fd4e693",
    "metadata": {},
    "outputs": [
@@ -56,29 +58,17 @@
      "text": [
       "These are the available columns in the table:\n",
       " \n",
-      "* version_number\n",
-      "* equipment\n",
-      "* value\n",
-      "* latitude\n",
-      "* longitude\n",
-      "* northing\n",
-      "* easting\n",
-      "* elevation\n",
-      "* utm_zone\n",
-      "* geom\n",
-      "* time\n",
-      "* site_id\n",
       "* site_name\n",
+      "* site_id\n",
       "* date\n",
-      "* time_created\n",
-      "* time_updated\n",
-      "* id\n",
-      "* doi\n",
-      "* date_accessed\n",
       "* instrument\n",
-      "* type\n",
-      "* units\n",
       "* observers\n",
+      "* type\n",
+      "* utm_zone\n",
+      "* date_greater_equal\n",
+      "* date_less_equal\n",
+      "* value_greater_equal\n",
+      "* value_less_equal\n",
       "\n"
      ]
     }
@@ -88,10 +78,10 @@
     "from snowexsql.api import PointMeasurements as measurements\n",
     "\n",
     "# Grab one measurment to see what attributes are available\n",
-    "df = measurements.from_filter(type=\"density\", limit=1)\n",
+    "df = measurements.from_filter(type=\"depth\", limit=1)\n",
     "\n",
     "# Print out the results nicely\n",
-    "print(\"These are the available columns in the table:\\n \\n* {}\\n\".format('\\n* '.join(df.columns)))\n"
+    "print(\"These are the available columns in the table:\\n \\n* {}\\n\".format('\\n* '.join(measurements.ALLOWED_QRY_KWARGS)))"
    ]
   },
   {
@@ -101,8 +91,6 @@
    "source": [
     "**Try this:** Using what we just did, but swap out PointMeasurements for LayerMeasurements.\n",
     "\n",
-    "`RasterMeasurements` is still being built out for ease of use but it would still have some limitations. So for now it doesnt have the `from_filter` function.\n",
-    "\n",
     "For more detail, checkout the readthedocs page on [database structure](https://snowexsql.readthedocs.io/en/latest/database_structure.html) to see how data gets categorized. "
    ]
   },
@@ -113,7 +101,7 @@
    "source": [
     "## Bonus Step: Learning to help yourself\n",
     "[snowexsql](https://github.com/SnowEx/snowexsql/) has a host of resources for you to  help your self. First when you are looking for something be sure to check the snowexsql's docs.\n",
-    "There you will find notes on the database structure. datasets, and of course our API! \n",
+    "There you will find notes on the database structure. datasets, and of course our new API! \n",
     "\n",
     "### Database Usage/Examples\n",
     "* [snowexsql Code](https://github.com/SnowEx/snowexsql/) \n",
@@ -121,13 +109,7 @@
     "\n",
     "### Database Building/Notes\n",
     "* [snowex_db Code](https://github.com/SnowEx/snowex_db/) \n",
-    "* [snowex_db Documentation](https://snowex_db.readthedocs.io/en/latest/) \n",
-    "\n",
-    "### Extra Resources\n",
-    "* [PostGIS Functions](https://postgis.net/docs/manual-3.0/PostGIS_Special_Functions_Index.html) - POSTGIS is the extension that make postgres have GIS capabilities. This is here as a resource but it will be discussed in more detail later.\n",
-    "* [GeoAlchemy2](https://geoalchemy-2.readthedocs.io/en/0.8.4/) - geoalchemy is library that allows us to leverage postgis and other gis functions\n",
-    "* [SqlAlchemy](https://docs.sqlalchemy.org/en/14/)            - sqlalchemy is the underlying library that lets us map python to databases\n",
-    "* [Hackweek DB Cheat Sheet](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html) - This is a cheat sheet we put together to help you use the database.\n"
+    "* [snowex_db Documentation](https://snowex_db.readthedocs.io/en/latest/) "
    ]
   },
   {
@@ -139,7 +121,7 @@
     "You just explored the database structure and discussed how they differ.\n",
     "\n",
     "**You should know:**\n",
-    "* Which tables matter to a snowex scientist\n",
+    "* Which table a dataset might live in\n",
     "* What columns you can work with (or how to get the available columns)\n",
     "* Some resources to begin helping yourself.\n",
     "\n",
@@ -163,7 +145,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
index 8e5eea7..99bf281 100644
--- a/book/tutorials/snowex_database/3_forming_queries.ipynb
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -4,18 +4,276 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Forming Queries\n",
+    "# Forming Queries through the API!\n",
     "\n",
-    "Get familiar with the tools available for querying the database.\n",
+    "Get familiar with the tools available for querying the database. The simplest way is to use the api classes [`snowexsql.api.PointMeasurements`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L185) and  [`snowexsql.api.LayerMeasurements`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L262). Each class has to very useful functions [`from_filter`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L192) and [`from_area`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L210)\n",
     "\n",
-    "\n",
-    "We have two options, `from_filter` and `from_area`"
+    "## `from_filter`"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 3,
+     "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": [
+    "from snowexsql.api import LayerMeasurements, PointMeasurements\n",
+    "from datetime import datetime \n",
+    "\n",
+    "# Find some density pit measurements at the Boise site in december 2019.\n",
+    "df = LayerMeasurements.from_filter(\n",
+    "    type=\"density\",\n",
+    "    site_name=\"Boise River Basin\",\n",
+    "    date_less_equal=datetime(2020, 1, 1),\n",
+    "    date_greater_equal=datetime(2019, 12, 1),\n",
+    ")\n",
+    "\n",
+    "df\n",
+    "df.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## `from_area`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 6,
+     "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": [
+    "from snowexsql.api import LayerMeasurements\n",
+    "from datetime import datetime \n",
+    "from shapely.geometry import Point \n",
+    "\n",
+    "# Find some SSA measurements within a distance of a known point\n",
+    "df = LayerMeasurements.from_area(pt=Point(740820.624625,4.327326e+06), crs=26912, buffer=500,\n",
+    "    type='specific_surface_area')\n",
+    "\n",
+    "df\n",
+    "df.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### How do I know what to filter on?\n",
+    "We got tools for that!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Available types = swe, depth, two_way_travel\n",
+      "\n",
+      "Available Instruments = Mala 1600 MHz GPR, None, Mala 800 MHz GPR, pulse EKKO Pro multi-polarization 1 GHz GPR, pit ruler, mesa, magnaprobe, camera\n",
+      "\n",
+      "Available Dates = 2020-05-28, 2020-01-09, 2020-05-23, 2020-01-04, 2019-11-29, 2019-10-20, 2019-11-30, 2020-04-17, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2020-04-01, 2020-05-14, 2019-10-29, 2019-10-14, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-29, 2020-04-26, 2019-10-12, 2020-02-23, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2020-02-12, 2020-05-06, 2019-11-19, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2019-12-27, 2019-10-01, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2020-03-07, 2019-10-31, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2019-12-25, 2019-12-14, 2019-10-24, 2020-02-01, 2020-03-11, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2019-10-10, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2019-12-26, 2019-12-15, 2020-05-07, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2020-03-15, 2020-01-16, 2019-11-23, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2020-05-31, 2020-03-04, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2019-10-09, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2020-02-21, 2019-10-30, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2019-12-22, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2020-02-22, 2020-05-08, 2020-01-24, 2019-12-24, 2020-04-22, 2020-03-31, 2020-01-08, 2019-11-04, 2020-02-06, 2020-03-05, 2020-03-14, 2020-06-09, 2020-02-20, 2020-04-05, 2020-06-03, 2019-10-16, 2020-04-15, 2019-12-03, 2020-05-30, 2019-11-09, 2020-04-28, 2020-01-12, 2020-05-20, 2020-05-02, 2020-01-28, 2020-02-05, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2020-04-09, 2019-09-30, 2020-01-05, 2019-10-27, 2020-04-10, 2020-03-16, 2020-03-21, 2020-02-02, 2020-04-08, 2020-02-25, 2020-01-29, 2019-12-04, 2019-11-26, 2020-03-19, 2020-01-20, 2020-02-27, 2019-12-31, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-03-01, 2020-02-17, 2020-05-21, 2019-10-23, 2020-04-11, 2019-10-21, 2019-11-25, 2020-04-12, 2020-03-13, 2020-05-01, 2020-03-08, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2020-05-15, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2020-05-18, 2019-12-05, 2019-11-20, 2020-06-06, 2019-11-18, 2020-06-10, 2020-01-27, 2020-01-18, 2020-06-04, 2020-04-27, 2020-03-25, 2019-10-15, 2020-03-26, 2019-10-03\n",
+      "\n",
+      "Available sites = None, Grand Mesa\n"
+     ]
+    }
+   ],
+   "source": [
+    "from snowexsql.api import PointMeasurements\n",
+    "\n",
+    "measurements = PointMeasurements()\n",
+    "# Get the unique data names/types in the table\n",
+    "results = measurements.all_types\n",
+    "print('Available types = {}'.format(', '.join([str(r) for r in results])))\n",
+    "\n",
+    "# Get the unique instrument in the table\n",
+    "results = measurements.all_instruments\n",
+    "print('\\nAvailable Instruments = {}'.format(', '.join([str(r) for r in results])))\n",
+    "\n",
+    "# Get the unique dates in the table\n",
+    "results = measurements.all_dates\n",
+    "print('\\nAvailable Dates = {}'.format(', '.join([str(r) for r in results])))\n",
+    "\n",
+    "# Get the unique site names in the table\n",
+    "results = measurements.all_site_names\n",
+    "print('\\nAvailable sites = {}'.format(', '.join([str(r) for r in results])))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Further we can gather the unique items in a query you are interested. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[datetime.date(2020, 2, 4), datetime.date(2020, 2, 3), datetime.date(2020, 1, 30), datetime.date(2020, 2, 1), datetime.date(2020, 2, 6), datetime.date(2020, 1, 31), datetime.date(2020, 2, 12), datetime.date(2020, 2, 8), datetime.date(2020, 2, 5), datetime.date(2020, 1, 28), datetime.date(2020, 2, 11), datetime.date(2020, 2, 10), datetime.date(2020, 1, 29)]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(LayerMeasurements.from_unique_entries(['date'], instrument='snowmicropen'))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Query Nuances\n",
+    "### Limit size \n",
+    "Try doing a large query. Something like"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed query for PointData\n"
+     ]
+    },
+    {
+     "ename": "LargeQueryCheckException",
+     "evalue": "Query will return 2296512 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mLargeQueryCheckException\u001b[0m                  Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[24], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PointMeasurements\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m# Ask the DB for a huge query.\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mPointMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtwo_way_travel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      4\u001b[0m df\n",
+      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:246\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    244\u001b[0m         session\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m    245\u001b[0m         LOG\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed query for PointData\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 246\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    248\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df\n",
+      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:241\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    239\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    240\u001b[0m     qry \u001b[38;5;241m=\u001b[39m session\u001b[38;5;241m.\u001b[39mquery(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMODEL)\n\u001b[0;32m--> 241\u001b[0m     qry \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mextend_qry\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    242\u001b[0m     df \u001b[38;5;241m=\u001b[39m query_to_geopandas(qry, engine)\n\u001b[1;32m    243\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
+      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:139\u001b[0m, in \u001b[0;36mBaseDataset.extend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not an allowed filter\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_size:\n\u001b[0;32m--> 139\u001b[0m     \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_size\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    141\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m qry\n",
+      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:80\u001b[0m, in \u001b[0;36mBaseDataset._check_size\u001b[0;34m(cls, qry, kwargs)\u001b[0m\n\u001b[1;32m     78\u001b[0m count \u001b[38;5;241m=\u001b[39m qry\u001b[38;5;241m.\u001b[39mcount()\n\u001b[1;32m     79\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m count \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n\u001b[0;32m---> 80\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m LargeQueryCheckException(\n\u001b[1;32m     81\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuery will return \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcount\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m number of records,\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     82\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m but we have a default max of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     83\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m If you want to proceed, set the \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m filter\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     84\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m to the desired number of records.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     85\u001b[0m     )\n",
+      "\u001b[0;31mLargeQueryCheckException\u001b[0m: Query will return 2296512 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records."
+     ]
+    }
+   ],
+   "source": [
+    "from snowexsql.api import PointMeasurements\n",
+    "# Ask the DB for a huge query.\n",
+    "df = PointMeasurements.from_filter(type='two_way_travel')\n",
+    "df\n",
+    "# Throws an exception, try adding the limit keyword arg in the function"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What happened? We have put some guard rails on the db to allow you to explore without accidentall pull the entire snowex universe down. If you know you want a large query (defined as > 1000) then use the `limit = ####` option in the `from_filter` or `from_area` function.\n",
+    "\n",
+    "**Note** - It is better to filter using other things besides the limit because the limit is not intelligent. It will simply limit the query by the order of entries that were submitted AND fit your filter. So if you encounter this then consider how to tighten up the filter.\n",
+    "\n",
+    "### List of Criteria\n",
+    "You can use lists in your requests too!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Failed query for PointData\n"
+     ]
+    },
+    {
+     "ename": "LargeQueryCheckException",
+     "evalue": "Query will return 8696 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mLargeQueryCheckException\u001b[0m                  Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[25], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m LayerMeasurements\n\u001b[1;32m      2\u001b[0m ssa_instruments \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIS3-SP-15-01US\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIRIS\u001b[39m\u001b[38;5;124m\"\u001b[39m,  \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIS3-SP-11-01F\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m----> 3\u001b[0m \u001b[43mLayerMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[43minstrument\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mssa_instruments\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:246\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    244\u001b[0m         session\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m    245\u001b[0m         LOG\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed query for PointData\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 246\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    248\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df\n",
+      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:241\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    239\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    240\u001b[0m     qry \u001b[38;5;241m=\u001b[39m session\u001b[38;5;241m.\u001b[39mquery(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMODEL)\n\u001b[0;32m--> 241\u001b[0m     qry \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mextend_qry\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    242\u001b[0m     df \u001b[38;5;241m=\u001b[39m query_to_geopandas(qry, engine)\n\u001b[1;32m    243\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
+      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:139\u001b[0m, in \u001b[0;36mBaseDataset.extend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not an allowed filter\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_size:\n\u001b[0;32m--> 139\u001b[0m     \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_size\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    141\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m qry\n",
+      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:80\u001b[0m, in \u001b[0;36mBaseDataset._check_size\u001b[0;34m(cls, qry, kwargs)\u001b[0m\n\u001b[1;32m     78\u001b[0m count \u001b[38;5;241m=\u001b[39m qry\u001b[38;5;241m.\u001b[39mcount()\n\u001b[1;32m     79\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m count \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n\u001b[0;32m---> 80\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m LargeQueryCheckException(\n\u001b[1;32m     81\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuery will return \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcount\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m number of records,\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     82\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m but we have a default max of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     83\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m If you want to proceed, set the \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m filter\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     84\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m to the desired number of records.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     85\u001b[0m     )\n",
+      "\u001b[0;31mLargeQueryCheckException\u001b[0m: Query will return 8696 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records."
+     ]
+    }
+   ],
+   "source": [
+    "from snowexsql.api import LayerMeasurements\n",
+    "ssa_instruments = [\"IS3-SP-15-01US\", \"IRIS\",  \"IS3-SP-11-01F\"]\n",
+    "LayerMeasurements.from_filter(instrument=ssa_instruments)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Greater than or Less than\n",
+    "Sometimes we want to isolate certain ranges of value or even dates. The `greater_equal` and `less_equal` terms can be added on to value or dates. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -38,16 +296,16 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>depth</th>\n",
-       "      <th>site_id</th>\n",
-       "      <th>pit_id</th>\n",
-       "      <th>bottom_depth</th>\n",
-       "      <th>comments</th>\n",
-       "      <th>sample_a</th>\n",
-       "      <th>sample_b</th>\n",
-       "      <th>sample_c</th>\n",
+       "      <th>version_number</th>\n",
+       "      <th>equipment</th>\n",
        "      <th>value</th>\n",
-       "      <th>flags</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>northing</th>\n",
+       "      <th>easting</th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>utm_zone</th>\n",
+       "      <th>geom</th>\n",
        "      <th>...</th>\n",
        "      <th>date</th>\n",
        "      <th>time_created</th>\n",
@@ -64,865 +322,352 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>41.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>31.0</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
+       "      <td>101.096736</td>\n",
+       "      <td>39.034358</td>\n",
+       "      <td>-108.190907</td>\n",
+       "      <td>4.324345e+06</td>\n",
+       "      <td>743146.962029</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>268.0</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.962 4324344.879)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:24.610808+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22602</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320356</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>31.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
+       "      <td>101.096736</td>\n",
+       "      <td>39.034358</td>\n",
+       "      <td>-108.190907</td>\n",
+       "      <td>4.324345e+06</td>\n",
+       "      <td>743146.933029</td>\n",
        "      <td>None</td>\n",
-       "      <td>377.0</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.933 4324344.839)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:24.610808+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22603</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320357</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>21.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>11.0</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
+       "      <td>103.532801</td>\n",
+       "      <td>39.034350</td>\n",
+       "      <td>-108.190913</td>\n",
+       "      <td>4.324344e+06</td>\n",
+       "      <td>743146.462029</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>228.0</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.462 4324343.986)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:24.610808+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22604</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320378</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
+       "      <td>104.750834</td>\n",
+       "      <td>39.034350</td>\n",
+       "      <td>-108.190913</td>\n",
+       "      <td>4.324344e+06</td>\n",
+       "      <td>743146.454029</td>\n",
        "      <td>None</td>\n",
-       "      <td>243.0</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.454 4324343.945)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:24.610808+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22605</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320379</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>41.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>31.0</td>\n",
        "      <td>None</td>\n",
-       "      <td>268.0</td>\n",
        "      <td>None</td>\n",
+       "      <td>104.750834</td>\n",
+       "      <td>39.034350</td>\n",
+       "      <td>-108.190913</td>\n",
+       "      <td>4.324344e+06</td>\n",
+       "      <td>743146.447029</td>\n",
        "      <td>None</td>\n",
-       "      <td>268.0</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.447 4324343.904)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:24.702514+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22614</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320380</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>31.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>377.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>377.0</td>\n",
-       "      <td>AD</td>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:24.702514+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22615</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>21.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>228.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>228.0</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:24.702514+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22616</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>243.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>243.0</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:24.702514+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22617</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>47.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>127.0</td>\n",
-       "      <td>131.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>129.0</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:28.401134+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>23406</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>37.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>173.0</td>\n",
-       "      <td>161.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>167.0</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:28.401134+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>23407</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>27.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>226.0</td>\n",
-       "      <td>233.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>229.5</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:28.401134+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>23408</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>17.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>248.0</td>\n",
-       "      <td>259.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>253.5</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:28.401134+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>23409</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>47.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>129.0</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:28.440857+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>23410</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>37.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>167.0</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:28.440857+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>23411</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>27.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>229.5</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:28.440857+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>23412</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>17.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>253.5</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2022-06-30 22:41:28.440857+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>23413</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>57.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>47.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>206.0</td>\n",
-       "      <td>157.0</td>\n",
-       "      <td>181.0</td>\n",
-       "      <td>181.33333333333334</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24292</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>47.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>232.0</td>\n",
-       "      <td>237.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>234.5</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24293</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>37.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>249.0</td>\n",
-       "      <td>252.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>250.5</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24294</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>27.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>286.0</td>\n",
-       "      <td>296.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>291.0</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24295</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>17.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>268.0</td>\n",
-       "      <td>265.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>266.5</td>\n",
-       "      <td>AD</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.716527+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24296</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>57.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>47.0</td>\n",
+       "      <th>95</th>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
+       "      <td>109.622966</td>\n",
+       "      <td>39.034313</td>\n",
+       "      <td>-108.190909</td>\n",
+       "      <td>4.324340e+06</td>\n",
+       "      <td>743146.897029</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>181.33333333333331</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.897 4324339.877)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24297</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320471</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>47.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>None</td>\n",
+       "      <th>96</th>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
+       "      <td>109.622966</td>\n",
+       "      <td>39.034313</td>\n",
+       "      <td>-108.190909</td>\n",
+       "      <td>4.324340e+06</td>\n",
+       "      <td>743146.915029</td>\n",
        "      <td>None</td>\n",
-       "      <td>234.5</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.915 4324339.839)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24298</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320472</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>37.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>27.0</td>\n",
+       "      <th>97</th>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
+       "      <td>108.404933</td>\n",
+       "      <td>39.034313</td>\n",
+       "      <td>-108.190909</td>\n",
+       "      <td>4.324340e+06</td>\n",
+       "      <td>743146.934029</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>250.5</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.934 4324339.802)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24299</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320473</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>27.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>None</td>\n",
+       "      <th>98</th>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
+       "      <td>108.404933</td>\n",
+       "      <td>39.034312</td>\n",
+       "      <td>-108.190909</td>\n",
+       "      <td>4.324340e+06</td>\n",
+       "      <td>743146.953029</td>\n",
        "      <td>None</td>\n",
-       "      <td>291.0</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.953 4324339.764)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24300</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320474</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>17.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>7.0</td>\n",
+       "      <th>99</th>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
+       "      <td>108.404933</td>\n",
+       "      <td>39.034312</td>\n",
+       "      <td>-108.190909</td>\n",
+       "      <td>4.324340e+06</td>\n",
+       "      <td>743146.971029</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>266.5</td>\n",
-       "      <td>AD</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (743146.971 4324339.727)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2022-06-30 22:41:32.752326+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24301</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
        "      <td>None</td>\n",
+       "      <td>1320475</td>\n",
+       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>Tate Meehan</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>26 rows × 29 columns</p>\n",
+       "<p>100 rows × 23 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "    depth        site_id                pit_id  bottom_depth comments  \\\n",
-       "0    41.0    Banner Open  IDBRBO_20191218_1424          31.0     None   \n",
-       "1    31.0    Banner Open  IDBRBO_20191218_1424          21.0     None   \n",
-       "2    21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
-       "3    11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
-       "4    41.0    Banner Open  IDBRBO_20191218_1424          31.0     None   \n",
-       "5    31.0    Banner Open  IDBRBO_20191218_1424          21.0     None   \n",
-       "6    21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
-       "7    11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
-       "8    47.0  Banner Snotel  IDBRBS_20191218_1000          37.0     None   \n",
-       "9    37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
-       "10   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
-       "11   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
-       "12   47.0  Banner Snotel  IDBRBS_20191218_1000          37.0     None   \n",
-       "13   37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
-       "14   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
-       "15   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
-       "16   57.0    Bogus Upper  IDBRBU_20191219_1000          47.0     None   \n",
-       "17   47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
-       "18   37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
-       "19   27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
-       "20   17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
-       "21   57.0    Bogus Upper  IDBRBU_20191219_1000          47.0     None   \n",
-       "22   47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
-       "23   37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
-       "24   27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
-       "25   17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
+       "   version_number equipment       value   latitude   longitude      northing  \\\n",
+       "0            None      None  101.096736  39.034358 -108.190907  4.324345e+06   \n",
+       "1            None      None  101.096736  39.034358 -108.190907  4.324345e+06   \n",
+       "2            None      None  103.532801  39.034350 -108.190913  4.324344e+06   \n",
+       "3            None      None  104.750834  39.034350 -108.190913  4.324344e+06   \n",
+       "4            None      None  104.750834  39.034350 -108.190913  4.324344e+06   \n",
+       "..            ...       ...         ...        ...         ...           ...   \n",
+       "95           None      None  109.622966  39.034313 -108.190909  4.324340e+06   \n",
+       "96           None      None  109.622966  39.034313 -108.190909  4.324340e+06   \n",
+       "97           None      None  108.404933  39.034313 -108.190909  4.324340e+06   \n",
+       "98           None      None  108.404933  39.034312 -108.190909  4.324340e+06   \n",
+       "99           None      None  108.404933  39.034312 -108.190909  4.324340e+06   \n",
        "\n",
-       "   sample_a sample_b sample_c               value flags  ...        date  \\\n",
-       "0      None     None     None               268.0    AD  ...  2019-12-18   \n",
-       "1      None     None     None               377.0    AD  ...  2019-12-18   \n",
-       "2      None     None     None               228.0    AD  ...  2019-12-18   \n",
-       "3      None     None     None               243.0    AD  ...  2019-12-18   \n",
-       "4     268.0     None     None               268.0    AD  ...  2019-12-18   \n",
-       "5     377.0     None     None               377.0    AD  ...  2019-12-18   \n",
-       "6     228.0     None     None               228.0    AD  ...  2019-12-18   \n",
-       "7     243.0     None     None               243.0    AD  ...  2019-12-18   \n",
-       "8     127.0    131.0     None               129.0    AD  ...  2019-12-18   \n",
-       "9     173.0    161.0     None               167.0    AD  ...  2019-12-18   \n",
-       "10    226.0    233.0     None               229.5    AD  ...  2019-12-18   \n",
-       "11    248.0    259.0     None               253.5    AD  ...  2019-12-18   \n",
-       "12     None     None     None               129.0    AD  ...  2019-12-18   \n",
-       "13     None     None     None               167.0    AD  ...  2019-12-18   \n",
-       "14     None     None     None               229.5    AD  ...  2019-12-18   \n",
-       "15     None     None     None               253.5    AD  ...  2019-12-18   \n",
-       "16    206.0    157.0    181.0  181.33333333333334    AD  ...  2019-12-19   \n",
-       "17    232.0    237.0      NaN               234.5    AD  ...  2019-12-19   \n",
-       "18    249.0    252.0      NaN               250.5    AD  ...  2019-12-19   \n",
-       "19    286.0    296.0      NaN               291.0    AD  ...  2019-12-19   \n",
-       "20    268.0    265.0      NaN               266.5    AD  ...  2019-12-19   \n",
-       "21     None     None     None  181.33333333333331    AD  ...  2019-12-19   \n",
-       "22     None     None     None               234.5    AD  ...  2019-12-19   \n",
-       "23     None     None     None               250.5    AD  ...  2019-12-19   \n",
-       "24     None     None     None               291.0    AD  ...  2019-12-19   \n",
-       "25     None     None     None               266.5    AD  ...  2019-12-19   \n",
+       "          easting elevation  utm_zone                            geom  ...  \\\n",
+       "0   743146.962029      None        12  POINT (743146.962 4324344.879)  ...   \n",
+       "1   743146.933029      None        12  POINT (743146.933 4324344.839)  ...   \n",
+       "2   743146.462029      None        12  POINT (743146.462 4324343.986)  ...   \n",
+       "3   743146.454029      None        12  POINT (743146.454 4324343.945)  ...   \n",
+       "4   743146.447029      None        12  POINT (743146.447 4324343.904)  ...   \n",
+       "..            ...       ...       ...                             ...  ...   \n",
+       "95  743146.897029      None        12  POINT (743146.897 4324339.877)  ...   \n",
+       "96  743146.915029      None        12  POINT (743146.915 4324339.839)  ...   \n",
+       "97  743146.934029      None        12  POINT (743146.934 4324339.802)  ...   \n",
+       "98  743146.953029      None        12  POINT (743146.953 4324339.764)  ...   \n",
+       "99  743146.971029      None        12  POINT (743146.971 4324339.727)  ...   \n",
        "\n",
-       "                       time_created  time_updated     id   doi  date_accessed  \\\n",
-       "0  2022-06-30 22:41:24.610808+00:00          None  22602  None     2022-06-30   \n",
-       "1  2022-06-30 22:41:24.610808+00:00          None  22603  None     2022-06-30   \n",
-       "2  2022-06-30 22:41:24.610808+00:00          None  22604  None     2022-06-30   \n",
-       "3  2022-06-30 22:41:24.610808+00:00          None  22605  None     2022-06-30   \n",
-       "4  2022-06-30 22:41:24.702514+00:00          None  22614  None     2022-06-30   \n",
-       "5  2022-06-30 22:41:24.702514+00:00          None  22615  None     2022-06-30   \n",
-       "6  2022-06-30 22:41:24.702514+00:00          None  22616  None     2022-06-30   \n",
-       "7  2022-06-30 22:41:24.702514+00:00          None  22617  None     2022-06-30   \n",
-       "8  2022-06-30 22:41:28.401134+00:00          None  23406  None     2022-06-30   \n",
-       "9  2022-06-30 22:41:28.401134+00:00          None  23407  None     2022-06-30   \n",
-       "10 2022-06-30 22:41:28.401134+00:00          None  23408  None     2022-06-30   \n",
-       "11 2022-06-30 22:41:28.401134+00:00          None  23409  None     2022-06-30   \n",
-       "12 2022-06-30 22:41:28.440857+00:00          None  23410  None     2022-06-30   \n",
-       "13 2022-06-30 22:41:28.440857+00:00          None  23411  None     2022-06-30   \n",
-       "14 2022-06-30 22:41:28.440857+00:00          None  23412  None     2022-06-30   \n",
-       "15 2022-06-30 22:41:28.440857+00:00          None  23413  None     2022-06-30   \n",
-       "16 2022-06-30 22:41:32.716527+00:00          None  24292  None     2022-06-30   \n",
-       "17 2022-06-30 22:41:32.716527+00:00          None  24293  None     2022-06-30   \n",
-       "18 2022-06-30 22:41:32.716527+00:00          None  24294  None     2022-06-30   \n",
-       "19 2022-06-30 22:41:32.716527+00:00          None  24295  None     2022-06-30   \n",
-       "20 2022-06-30 22:41:32.716527+00:00          None  24296  None     2022-06-30   \n",
-       "21 2022-06-30 22:41:32.752326+00:00          None  24297  None     2022-06-30   \n",
-       "22 2022-06-30 22:41:32.752326+00:00          None  24298  None     2022-06-30   \n",
-       "23 2022-06-30 22:41:32.752326+00:00          None  24299  None     2022-06-30   \n",
-       "24 2022-06-30 22:41:32.752326+00:00          None  24300  None     2022-06-30   \n",
-       "25 2022-06-30 22:41:32.752326+00:00          None  24301  None     2022-06-30   \n",
+       "          date                     time_created time_updated       id  \\\n",
+       "0   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320356   \n",
+       "1   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320357   \n",
+       "2   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320378   \n",
+       "3   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320379   \n",
+       "4   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320380   \n",
+       "..         ...                              ...          ...      ...   \n",
+       "95  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320471   \n",
+       "96  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320472   \n",
+       "97  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320473   \n",
+       "98  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320474   \n",
+       "99  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320475   \n",
        "\n",
-       "   instrument     type units observers  \n",
-       "0        None  density  None      None  \n",
-       "1        None  density  None      None  \n",
-       "2        None  density  None      None  \n",
-       "3        None  density  None      None  \n",
-       "4        None  density  None      None  \n",
-       "5        None  density  None      None  \n",
-       "6        None  density  None      None  \n",
-       "7        None  density  None      None  \n",
-       "8        None  density  None      None  \n",
-       "9        None  density  None      None  \n",
-       "10       None  density  None      None  \n",
-       "11       None  density  None      None  \n",
-       "12       None  density  None      None  \n",
-       "13       None  density  None      None  \n",
-       "14       None  density  None      None  \n",
-       "15       None  density  None      None  \n",
-       "16       None  density  None      None  \n",
-       "17       None  density  None      None  \n",
-       "18       None  density  None      None  \n",
-       "19       None  density  None      None  \n",
-       "20       None  density  None      None  \n",
-       "21       None  density  None      None  \n",
-       "22       None  density  None      None  \n",
-       "23       None  density  None      None  \n",
-       "24       None  density  None      None  \n",
-       "25       None  density  None      None  \n",
+       "                                     doi date_accessed  \\\n",
+       "0   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
+       "1   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
+       "2   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
+       "3   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
+       "4   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
+       "..                                   ...           ...   \n",
+       "95  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
+       "96  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
+       "97  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
+       "98  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
+       "99  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
        "\n",
-       "[26 rows x 29 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "from snowexsql.api import LayerMeasurements\n",
-    "from datetime import datetime \n",
-    "\n",
-    "# Find some density pit measurements at the Boise site in december 2019.\n",
-    "df = LayerMeasurements.from_filter(\n",
-    "    type=\"density\",\n",
-    "    site_name=\"Boise River Basin\",\n",
-    "    date_less_equal=datetime(2020, 1, 1),\n",
-    "    date_greater_equal=datetime(2019, 12, 1),\n",
-    "    limit=1000\n",
-    ")\n",
-    "\n",
-    "\n",
-    "df"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f772e021e50>"
+       "                                     instrument   type units    observers  \n",
+       "0   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "1   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "2   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "3   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "4   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "..                                          ...    ...   ...          ...  \n",
+       "95  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "96  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "97  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "98  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "99  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
+       "\n",
+       "[100 rows x 23 columns]"
       ]
      },
-     "execution_count": 23,
+     "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": [
-    "from snowexsql.api import LayerMeasurements\n",
-    "from datetime import datetime \n",
-    "from shapely.geometry import Point \n",
-    "\n",
-    "# Find some density pit measurements at the Boise site in december 2019.\n",
-    "df = LayerMeasurements.from_area(pt=Point(740820.624625,4.327326e+06), crs=26912, buffer=500,\n",
-    "    type='specific_surface_area')\n",
-    "\n",
-    "\n",
-    "df.plot()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This feels soooo *limited* :)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### How do I know what to filter on?\n",
-    "We got a tool for that!"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Available types = swe, depth, two_way_travel\n",
-      "\n",
-      "Available Instruments = None, Mala 1600 MHz GPR, Mala 800 MHz GPR, pulse EKKO Pro multi-polarization 1 GHz GPR, pit ruler, mesa, magnaprobe, camera\n",
-      "\n",
-      "Available Dates = 2020-05-28, 2020-01-09, 2020-05-23, 2020-01-04, 2019-11-29, 2019-10-20, 2019-11-30, 2020-04-17, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2020-04-01, 2020-05-14, 2019-10-29, 2019-10-14, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-29, 2020-04-26, 2019-10-12, 2020-02-23, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2020-02-12, 2020-05-06, 2019-11-19, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2019-12-27, 2019-10-01, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2020-03-07, 2019-10-31, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2019-12-25, 2019-12-14, 2019-10-24, 2020-03-11, 2020-02-01, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2019-10-10, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2019-12-26, 2019-12-15, 2020-05-07, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2020-03-15, 2020-01-16, 2019-11-23, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2020-05-31, 2020-03-04, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2019-10-09, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2020-02-21, 2019-10-30, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2019-12-22, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2020-02-22, 2020-05-08, 2020-01-24, 2019-12-24, 2020-04-22, 2020-03-31, 2020-01-08, 2019-11-04, 2020-02-06, 2020-03-05, 2020-03-14, 2020-06-09, 2020-02-20, 2020-04-05, 2020-06-03, 2019-10-16, 2020-04-15, 2019-12-03, 2020-05-30, 2019-11-09, 2020-04-28, 2020-01-12, 2020-05-20, 2020-05-02, 2020-01-28, 2020-02-05, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2020-04-09, 2019-09-30, 2020-01-05, 2019-10-27, 2020-04-10, 2020-03-16, 2020-03-21, 2020-02-02, 2020-04-08, 2020-02-25, 2020-01-29, 2019-12-04, 2019-11-26, 2020-03-19, 2020-01-20, 2020-02-27, 2019-12-31, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-03-01, 2020-02-17, 2020-05-21, 2019-10-23, 2020-04-11, 2019-10-21, 2019-11-25, 2020-04-12, 2020-03-13, 2020-05-01, 2020-03-08, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2020-05-15, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2020-05-18, 2019-12-05, 2019-11-20, 2020-06-06, 2019-11-18, 2020-06-10, 2020-01-27, 2020-01-18, 2020-06-04, 2020-04-27, 2020-03-25, 2019-10-15, 2020-03-26, 2019-10-03\n",
-      "\n",
-      "Available sites = None, Grand Mesa\n"
-     ]
     }
    ],
    "source": [
     "from snowexsql.api import PointMeasurements\n",
     "\n",
-    "measurements = PointMeasurements()\n",
-    "# Get the unique data names/types in the table\n",
-    "results = measurements.all_types\n",
-    "print('Available types = {}'.format(', '.join([str(r[0]) for r in results])))\n",
-    "\n",
-    "# Get the unique instrument in the table\n",
-    "results = measurements.all_instruments\n",
-    "print('\\nAvailable Instruments = {}'.format(', '.join([str(r[0]) for r in results])))\n",
-    "\n",
-    "# Get the unique dates in the table\n",
-    "results = measurements.all_dates\n",
-    "print('\\nAvailable Dates = {}'.format(', '.join([str(r[0]) for r in results])))\n",
-    "\n",
-    "# Get the unique site names in the table\n",
-    "results = measurements.all_site_names\n",
-    "print('\\nAvailable sites = {}'.format(', '.join([str(r[0]) for r in results])))"
+    "df = PointMeasurements.from_filter(value_greater_equal=100, type='depth', instrument='pulse EKKO Pro multi-polarization 1 GHz GPR', limit=100)\n",
+    "df"
    ]
   },
   {
@@ -930,22 +675,14 @@
    "metadata": {},
    "source": [
     "## Recap \n",
-    "You just explored using the session object to form queries and compounding filters results with it\n",
-    "\n",
+    "You just came in contact with the new API tools. We can use each API class to pull from specific tables and filter the data. \n",
     "**You should know:**\n",
-    "* How to build queries using filtering\n",
-    "* How to isolate column data \n",
+    "* How to build queries using `from_filter`, `from_area`, `from_unique_entries`\n",
     "* Determine what values to filter on\n",
-    "\n",
+    "* Manage the limit error\n",
+    "* Filtering on greater and less than \n",
     "If you don't feel comfortable with these, you are probably not alone, let's discuss it!"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -964,7 +701,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/4_get_spiral_example.ipynb b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
index 1fc1e03..ccf1f6f 100644
--- a/book/tutorials/snowex_database/4_get_spiral_example.ipynb
+++ b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
@@ -4,99 +4,562 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Forming Queries: Example Visualizng Depths\n",
+    "# Excercise: Visualize a Manual Depth Spiral\n",
     "\n",
-    "During the SnowEx campaigns a TON of manual snow depths were collected, surveys for hackweek showed an overhelming interest in the manual \n",
+    "During the SnowEx campaigns a TON of manual snow depths were collected, past surveys for hackweek showed an overhelming interest in the manual \n",
     "snow depths dataset. This tutorial shows how easy it is to get at that data in the database while learning how to build queries\n",
     "\n",
-    "Don't forget your [cheat sheets](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html)! \n",
-    "\n",
-    "**Goal**: Visualize a small subset of snow depths \n",
+    "**Goal**: Visualize a small subset of snow depth, ideally a full spiral (mostly cause theyre cool!)\n",
     "\n",
     "**Approach**: \n",
-    "\n",
-    "1. Connect to the DB\n",
-    "2. Build a query filtering by dataset and date\n",
-    "3. Convert to a GeoDataFrame and plot"
+    "1. Determine the necessary details for isolating manual depths\n",
+    "2. Find a pit where many spirals were done. \n",
+    "3. Buffer on the pit location and grab all manual snow depths"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Process\n",
-    "### Step 1: Get connected"
+    "## Process\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Import the function to get connect to the db\n",
-    "from snowexsql.db import get_db\n",
-    "\n",
-    "# Import our class for the points table\n",
-    "from snowexsql.data import PointData\n",
-    "\n",
-    "# Import a useful function to format that data into a dataframe\n",
-    "from snowexsql.conversions import query_to_geopandas\n",
-    "\n",
-    "# Import some tools to build dates \n",
-    "from datetime import date\n",
-    "\n",
-    "# This is what you will use for all of hackweek to access the db\n",
-    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'"
+    "from snowexsql.api import PointMeasurements, LayerMeasurements\n",
+    "instrument = 'magnaprobe'\n",
+    "data_type = 'depth'\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Step 2: Build a query "
+    "### Step 1: Find a pit of interest"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>depth</th>\n",
+       "      <th>site_id</th>\n",
+       "      <th>pit_id</th>\n",
+       "      <th>bottom_depth</th>\n",
+       "      <th>comments</th>\n",
+       "      <th>sample_a</th>\n",
+       "      <th>sample_b</th>\n",
+       "      <th>sample_c</th>\n",
+       "      <th>value</th>\n",
+       "      <th>flags</th>\n",
+       "      <th>...</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>observers</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>67.0</td>\n",
+       "      <td>1N1</td>\n",
+       "      <td>COGM1N1_20200208</td>\n",
+       "      <td>57.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>217.0</td>\n",
+       "      <td>213.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>215.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:28:48.330383+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>11536</td>\n",
+       "      <td>https://doi.org/10.5067/DUD2VZEVBJ7S</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   depth site_id            pit_id  bottom_depth comments sample_a sample_b  \\\n",
+       "0   67.0     1N1  COGM1N1_20200208          57.0     None    217.0    213.0   \n",
+       "\n",
+       "  sample_c  value flags  ...        date                     time_created  \\\n",
+       "0      NaN  215.0  None  ...  2020-02-08 2022-06-30 22:28:48.330383+00:00   \n",
+       "\n",
+       "   time_updated     id                                   doi  date_accessed  \\\n",
+       "0          None  11536  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
+       "\n",
+       "  instrument     type units observers  \n",
+       "0       None  density  None      None  \n",
+       "\n",
+       "[1 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Pick a dataset\n",
-    "dataset = 'depth'\n",
-    "\n",
-    "# Pick a date\n",
-    "collection_date = date(2020, 2, 7)\n",
-    "\n",
-    "# Site name\n",
-    "site_name = \"Grand Mesa\"\n",
-    "\n",
-    "# Get a session\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "# The part inside the query function is what we want back, in this case all columns for the point data\n",
-    "qry = session.query(PointData)\n",
+    "# Pick the first one we find\n",
+    "site_id = LayerMeasurements().all_site_ids[0]\n",
     "\n",
-    "# Filter by site\n",
-    "qry = qry.filter(PointData.site_name == site_name)\n",
+    "# Query the database, we only need one point to get a site id and its geometry\n",
+    "site = LayerMeasurements.from_filter(site_id=site_id, limit=1)\n",
     "\n",
-    "# We then want to filter by the selected the data type depth.\n",
-    "qry = qry.filter(PointData.type == dataset)\n",
-    "\n",
-    "# Filter by a date\n",
-    "qry = qry.filter(PointData.date == collection_date)\n",
-    "\n",
-    "# Limit it to a couple hundred - just for exploration\n",
-    "qry = qry.limit(200)\n",
-    "\n",
-    "# Execute the query and convert to geopandas in one handy function\n",
-    "df = query_to_geopandas(qry, engine)\n",
-    "\n",
-    "# how many did we retrieve?\n",
-    "print(f'{len(df.index)} records returned!')\n",
+    "# Print it out \n",
+    "site"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Step 2: Collect Snow Depths"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>version_number</th>\n",
+       "      <th>equipment</th>\n",
+       "      <th>value</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>northing</th>\n",
+       "      <th>easting</th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>utm_zone</th>\n",
+       "      <th>geom</th>\n",
+       "      <th>...</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>observers</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>39.03453</td>\n",
+       "      <td>-108.22142</td>\n",
+       "      <td>4.324283e+06</td>\n",
+       "      <td>740504.818149</td>\n",
+       "      <td>3031.900000</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740504.818 4324282.756)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30048</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>39.03454</td>\n",
+       "      <td>-108.22140</td>\n",
+       "      <td>4.324284e+06</td>\n",
+       "      <td>740506.515638</td>\n",
+       "      <td>3032.200000</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740506.516 4324283.919)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30049</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>39.03453</td>\n",
+       "      <td>-108.22138</td>\n",
+       "      <td>4.324283e+06</td>\n",
+       "      <td>740508.280984</td>\n",
+       "      <td>3032.400000</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740508.281 4324282.862)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30050</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>48.0</td>\n",
+       "      <td>39.03453</td>\n",
+       "      <td>-108.22137</td>\n",
+       "      <td>4.324283e+06</td>\n",
+       "      <td>740509.146693</td>\n",
+       "      <td>3033.200000</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740509.147 4324282.889)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30051</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>39.03454</td>\n",
+       "      <td>-108.22135</td>\n",
+       "      <td>4.324284e+06</td>\n",
+       "      <td>740510.844183</td>\n",
+       "      <td>3033.300000</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740510.844 4324284.052)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30052</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>106</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>39.03469</td>\n",
+       "      <td>-108.22108</td>\n",
+       "      <td>4.324301e+06</td>\n",
+       "      <td>740533.709339</td>\n",
+       "      <td>3035.200000</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740533.709 4324301.416)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30154</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>107</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>39.03471</td>\n",
+       "      <td>-108.22110</td>\n",
+       "      <td>4.324304e+06</td>\n",
+       "      <td>740531.910061</td>\n",
+       "      <td>3035.700000</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740531.91 4324303.583)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30155</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>108</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>107.0</td>\n",
+       "      <td>39.03474</td>\n",
+       "      <td>-108.22110</td>\n",
+       "      <td>4.324307e+06</td>\n",
+       "      <td>740531.808265</td>\n",
+       "      <td>3036.100000</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740531.808 4324306.913)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30156</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>1</td>\n",
+       "      <td>CRREL_C</td>\n",
+       "      <td>103.0</td>\n",
+       "      <td>39.03477</td>\n",
+       "      <td>-108.22112</td>\n",
+       "      <td>4.324310e+06</td>\n",
+       "      <td>740529.975057</td>\n",
+       "      <td>3035.500000</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740529.975 4324310.19)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>30157</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>magnaprobe</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>110</th>\n",
+       "      <td>1</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>39.03462</td>\n",
+       "      <td>-108.22145</td>\n",
+       "      <td>4.324293e+06</td>\n",
+       "      <td>740501.915674</td>\n",
+       "      <td>3029.909912</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (740501.916 4324292.667)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>41832</td>\n",
+       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>pit ruler</td>\n",
+       "      <td>depth</td>\n",
+       "      <td>cm</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>111 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     version_number equipment  value  latitude  longitude      northing  \\\n",
+       "0                 1   CRREL_C   47.0  39.03453 -108.22142  4.324283e+06   \n",
+       "1                 1   CRREL_C   50.0  39.03454 -108.22140  4.324284e+06   \n",
+       "2                 1   CRREL_C   52.0  39.03453 -108.22138  4.324283e+06   \n",
+       "3                 1   CRREL_C   48.0  39.03453 -108.22137  4.324283e+06   \n",
+       "4                 1   CRREL_C   52.0  39.03454 -108.22135  4.324284e+06   \n",
+       "..              ...       ...    ...       ...        ...           ...   \n",
+       "106               1   CRREL_C   90.0  39.03469 -108.22108  4.324301e+06   \n",
+       "107               1   CRREL_C   97.0  39.03471 -108.22110  4.324304e+06   \n",
+       "108               1   CRREL_C  107.0  39.03474 -108.22110  4.324307e+06   \n",
+       "109               1   CRREL_C  103.0  39.03477 -108.22112  4.324310e+06   \n",
+       "110               1     ruler   67.0  39.03462 -108.22145  4.324293e+06   \n",
+       "\n",
+       "           easting    elevation  utm_zone                            geom  \\\n",
+       "0    740504.818149  3031.900000        12  POINT (740504.818 4324282.756)   \n",
+       "1    740506.515638  3032.200000        12  POINT (740506.516 4324283.919)   \n",
+       "2    740508.280984  3032.400000        12  POINT (740508.281 4324282.862)   \n",
+       "3    740509.146693  3033.200000        12  POINT (740509.147 4324282.889)   \n",
+       "4    740510.844183  3033.300000        12  POINT (740510.844 4324284.052)   \n",
+       "..             ...          ...       ...                             ...   \n",
+       "106  740533.709339  3035.200000        12  POINT (740533.709 4324301.416)   \n",
+       "107  740531.910061  3035.700000        12   POINT (740531.91 4324303.583)   \n",
+       "108  740531.808265  3036.100000        12  POINT (740531.808 4324306.913)   \n",
+       "109  740529.975057  3035.500000        12   POINT (740529.975 4324310.19)   \n",
+       "110  740501.915674  3029.909912        12  POINT (740501.916 4324292.667)   \n",
+       "\n",
+       "     ...        date                     time_created time_updated     id  \\\n",
+       "0    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30048   \n",
+       "1    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30049   \n",
+       "2    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30050   \n",
+       "3    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30051   \n",
+       "4    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30052   \n",
+       "..   ...         ...                              ...          ...    ...   \n",
+       "106  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30154   \n",
+       "107  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30155   \n",
+       "108  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30156   \n",
+       "109  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30157   \n",
+       "110  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  41832   \n",
+       "\n",
+       "                                      doi date_accessed  instrument   type  \\\n",
+       "0    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "1    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "2    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "3    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "4    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "..                                    ...           ...         ...    ...   \n",
+       "106  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "107  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "108  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "109  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "110  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "\n",
+       "    units observers  \n",
+       "0      cm      None  \n",
+       "1      cm      None  \n",
+       "2      cm      None  \n",
+       "3      cm      None  \n",
+       "4      cm      None  \n",
+       "..    ...       ...  \n",
+       "106    cm      None  \n",
+       "107    cm      None  \n",
+       "108    cm      None  \n",
+       "109    cm      None  \n",
+       "110    cm      None  \n",
+       "\n",
+       "[111 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We import the points measurements because snow depths is a single value at single location and date\n",
+    "from snowexsql.api import PointMeasurements \n",
     "\n",
-    "session.close()"
+    "# Filter the results to within 100m within the point from our pit\n",
+    "df = PointMeasurements.from_area(pt=site.geometry[0], buffer=100)\n",
+    "df"
    ]
   },
   {
@@ -108,14 +571,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {
     "tags": [
      "nbsphinx-gallery",
      "nbsphinx-thumbnail"
     ]
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(38.347222222222214, 0.5, 'Northing [m]')"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Get the Matplotlib Axes object from the dataframe object, color the points by snow depth value\n",
     "ax = df.plot(column='value', legend=True, cmap='PuBu')\n",
@@ -124,30 +608,9 @@
     "ax.ticklabel_format(style='plain', useOffset=False)\n",
     "\n",
     "# Set the various plots x/y labels and title.\n",
-    "ax.set_title(f'{len(df.index)} {dataset.title()}s collected on {collection_date.strftime(\"%Y-%m-%d\")}')\n",
+    "ax.set_title(f'{len(df.index)} Manual Snow depths collected at {site_id}')\n",
     "ax.set_xlabel('Easting [m]')\n",
-    "ax.set_ylabel('Northing [m]')\n",
-    "\n",
-    "# Close the session to avoid hanging transactions\n",
-    "session.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Lets try to filter to get the data to show only a depth spiral."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Let see what instruments are available \n",
-    "result = session.query(PointData.instrument).filter(PointData.type == 'depth').distinct().all()\n",
-    "print(result)"
+    "ax.set_ylabel('Northing [m]')\n"
    ]
   },
   {
@@ -162,8 +625,7 @@
     "You just plotted snow depths and reduce the scope of the data by compounding filters on it\n",
     "\n",
     "**You should know:**\n",
-    "* How to build queries using filtering\n",
-    "* Where a useful tools like [`query_to_geopandas`](https://snowexsql.readthedocs.io/en/latest/snowexsql.html#snowexsql.conversions.query_to_geopandas) live in the snowexsql library\n",
+    "\n",
     "\n",
     "\n",
     "If you don't feel comfortable with these, you are probably not alone, let's discuss it!\n"
@@ -186,7 +648,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
index a73be11..dcdf0cf 100644
--- a/book/tutorials/snowex_database/5_plot_raster_example.ipynb
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -4,245 +4,134 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Forming Queries: PostGIS Functions\n",
-    "\n",
-    "PostGIS offer a host of functions that we can access through python using special functions to utilize them \n",
-    "\n",
-    "Don't forget your [cheat sheets](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html)! \n",
-    "\n",
-    "\n",
-    "In general they follow the convention\n",
-    "``` sql\n",
-    "ST_<Function_Name>\n",
-    "```\n",
-    "\n",
-    "They also tend to fall into (generally) 2 categories, points and rasters. \n",
-    "\n",
-    "\n",
-    "## Process \n",
-    "### Get Connected"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Import the function to get connect to the db\n",
-    "from snowexsql.db import get_db\n",
-    "\n",
-    "# This is what you will use for all of hackweek to access the db\n",
-    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'\n"
+    "# Forming Queries with Rasters"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Let's get a single raster tile\n",
-    "\n",
-    "Checkout the documentation for [`ST_AsTiff`](https://postgis.net/docs/RT_ST_AsTIFF.html)\n",
-    "\n",
-    "Raster data in the database is stored in Well Known binary format so to make it useful to us we convert to geotiff format. \n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from snowexsql.data import ImageData\n",
-    "\n",
-    "# Grab a session\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "# What will this return?\n",
-    "result = session.query(ImageData.raster).limit(1).all()\n",
-    "\n",
-    "print(type(result[0][0]))\n",
-    "\n",
-    "session.close()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# import this to use define sql functions (e.g. postgis!)\n",
-    "from sqlalchemy.sql import func \n",
-    "\n",
-    "# Import this to convert to a rasterio object for easy plotting\n",
-    "from snowexsql.conversions import raster_to_rasterio \n",
-    "\n",
-    "# Import a convenient function to plot with \n",
-    "from rasterio.plot import show"
+    "### Let's get part of raster dataset centered on a point"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   depth site_id            pit_id  bottom_depth comments sample_a sample_b  \\\n",
+      "0   67.0     1N3  COGM1N3_20200211          57.0     None     None     None   \n",
+      "\n",
+      "  sample_c  value flags  ...        date                     time_created  \\\n",
+      "0     None  242.5  None  ...  2020-02-11 2022-06-30 22:28:50.782395+00:00   \n",
+      "\n",
+      "   time_updated     id                                   doi  date_accessed  \\\n",
+      "0          None  12277  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
+      "\n",
+      "  instrument     type units observers  \n",
+      "0       None  density  None      None  \n",
+      "\n",
+      "[1 rows x 29 columns]\n",
+      "[datetime.date(2020, 2, 2), datetime.date(2020, 2, 13)]\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Grab a session\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "# Remember in the query parentheses is what we get back, in this case were asking for the raster data as a geotiff\n",
-    "result = session.query(func.ST_AsTiff(ImageData.raster)).filter(ImageData.type == 'depth').limit(1).all()\n",
+    "from snowexsql.api import RasterMeasurements, LayerMeasurements\n",
+    "from datetime import date\n",
+    "from rasterio.plot import show\n",
+    "from rasterio.plot import show\n",
     "\n",
-    "# Now make it more available as a python object \n",
-    "datasets = raster_to_rasterio(session, result)\n",
     "\n",
-    "# Plot the georeferenced image \n",
-    "show(datasets[0], vmax=1.2, vmin=0, cmap='winter')\n",
-    "\n",
-    "# Close the dataset\n",
-    "datasets[0].close()\n",
-    "session.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Lets use a few more. \n",
-    "\n",
-    "Lets try to get a raster tile on a pit!\n",
-    "\n",
-    "Checkout the documentation for \n",
-    "\n",
-    "* [`ST_Union`](https://postgis.net/docs/RT_ST_Union.html)\n",
-    "* [`ST_Intersects`](https://postgis.net/docs/RT_ST_Intersects.html)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# import our pits metadata table class\n",
-    "from snowexsql.data import SiteData\n",
-    "from geoalchemy2.types import Raster\n",
-    "import geoalchemy2.functions as gfunc\n",
-    "\n",
-    "# Grab a session\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "# session.rollback()\n",
-    "\n",
-    "# 1. Lets choose a site we want to grab a raster tile\n",
-    "site_id = '5S31'\n",
-    "\n",
-    "# 2. Get the location of the pit, POSTGIS functions like to work in the text format of things so convert the point geom to text which is also in binary in the db   \n",
-    "point = session.query(SiteData.geom).filter(SiteData.site_id == site_id).distinct().all()[0][0]\n",
-    "\n",
-    "# 3. Merge all the tiles together, note gfunc vs func. This is because ST_Union exists in two places in postgis for geom and rasters!\n",
-    "base = gfunc.ST_Union(ImageData.raster, _type=Raster)\n",
-    "\n",
-    "# 4. Get the merged result as a geotiff! \n",
-    "base = func.ST_AsTiff(base)\n",
-    "\n",
-    "# 5. Filter by uavsar interferogram data\n",
-    "qry = session.query(base).filter(ImageData.type == 'insar interferogram real')\n",
-    "\n",
-    "# 6. Filter by a polarization in the description \n",
-    "qry = qry.filter(ImageData.description.contains('Polarization = HH'))\n",
-    "\n",
-    "# 7. Isolate tiles touching the pit location\n",
-    "qry = qry.filter(func.ST_Intersects(ImageData.raster, point))\n",
-    "\n",
-    "print(qry.count())\n",
-    "\n",
-    "# 8. Execute, convert and plot! \n",
-    "result = qry.all()\n",
-    "datasets = raster_to_rasterio(session, result)\n",
-    "show(datasets[0], vmin=-0.02, vmax=0.02, cmap='Purples')\n",
-    "\n",
-    "session.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Discussion**\n",
-    "\n",
-    "* What is a fundamental difference do you see in using `ST_Union` vs `ST_Intersects`\n",
-    "* Did you notice `ST_Union` used `gfunc.` instead of `func.` ? How many `ST_Union`'s exist? \n",
-    "\n",
-    "\n",
-    "* [`RT_ST_Union`](https://postgis.net/docs/RT_ST_Union.html)\n",
-    "* [`ST_Union`](https://postgis.net/docs/ST_Union.html)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Lets work with some points and Postgis\n",
-    "These functions are critical to rasters use with the database. But there are plenty of very useful functions for non-raster data too! A common use is to grab points in a certain geometry of a locations like a pit.\n",
-    "\n",
-    "Lets pick a pit and grab data with a certain radius of that pit using postgis functions.\n",
+    "# Pick a site ID\n",
+    "site_id = '1N3'\n",
+    "df_site = LayerMeasurements.from_filter(site_id=site_id, limit=1)\n",
+    "print(df_site)\n",
     "\n",
-    "Checkout the documentation on:\n",
+    "# Pick a date \n",
+    "dates = RasterMeasurements.from_unique_entries([\"date\"], observers='ASO Inc.', type='depth')\n",
+    "print(dates)\n",
     "\n",
-    "[`ST_Buffer`](https://postgis.net/docs/ST_Buffer.html)\n"
+    "# Subset a raster on our buffered point!\n",
+    "ds = RasterMeasurements.from_area(pt=df_site.geometry[0], buffer=200, observers='ASO Inc.', type='depth', date=dates[0])\n",
+    "show(ds, vmin=0, vmax=0.8, cmap='winter')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<open DatasetReader name='/vsimem/7796b651-2ab2-408a-ba12-07a0e8a9637b/7796b651-2ab2-408a-ba12-07a0e8a9637b.tif' mode='r'>\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: >"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "from snowexsql.data import PointData\n",
-    "from snowexsql.conversions import query_to_geopandas\n",
-    "import matplotlib.pyplot as plt \n",
+    "from snowexsql.api import RasterMeasurements, LayerMeasurements\n",
+    "from shapely.geometry import Polygon\n",
+    "import geopandas as gpd\n",
     "\n",
     "\n",
-    "# Pick a pit ID\n",
-    "site_id = '1N3'\n",
-    "\n",
-    "# Pick a distance around the pit to collect data in meters\n",
-    "buffer_dist = 50\n",
-    "\n",
-    "# Grab a session\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "# Grab our pit location by provided site id from the site details table\n",
-    "qry = session.query(SiteData.geom).filter(SiteData.site_id == site_id)\n",
-    "\n",
-    "# convert qry to df for easy plotting \n",
-    "site_df = query_to_geopandas(qry, engine)\n",
-    "\n",
-    "# Also execute it for the normal db usage\n",
-    "site_geom = qry.all()[0][0]\n",
+    "# Lets form a triangle using site IDs\n",
+    "site_id = ['2S6', '2C2', '8N45']\n",
     "\n",
-    "# Create a polygon buffered by our distance centered on the pit\n",
-    "qry = session.query(func.ST_Buffer(site_geom, buffer_dist))\n",
+    "# Grab the unique locations for these \n",
+    "locations = LayerMeasurements.from_unique_entries(['easting', 'northing'],\n",
+    "                                                site_id=site_id)\n",
     "\n",
-    "# Execute for other querying\n",
-    "buffered_pit = qry.all()[0][0]\n",
-    "\n",
-    "# Filter by the dataset type depth\n",
-    "qry = session.query(PointData).filter(PointData.type == 'depth').filter(PointData.instrument.in_(['magnaprobe','mesa']))\n",
-    "\n",
-    "# Grab all the point data in the buffer\n",
-    "qry = qry.filter(func.ST_Within(PointData.geom, buffered_pit))\n",
-    "df = query_to_geopandas(qry, engine)\n",
-    "\n",
-    "session.close()\n",
-    "\n",
-    "# plot it with style!\n",
-    "fig, ax = plt.subplots(figsize=(8,8))\n",
-    "ax = df.plot(ax=ax, column='value', cmap='cool')\n",
-    "site_df.plot(ax=ax, marker='^', markersize=100, color='green')\n",
-    "ax.legend([\"Depth\", \"Pit\"])\n"
+    "triangle = Polygon(locations)\n",
+    "ds = RasterMeasurements.from_area(shp=triangle, observers='ASO Inc.', type='depth',\n",
+    "                                  date=date(2020, 2, 2))\n",
+    "print(ds)\n",
+    "show(ds, vmin=0, vmax=1, cmap='winter')"
    ]
   },
   {
@@ -250,13 +139,10 @@
    "metadata": {},
    "source": [
     "## Recap\n",
-    "\n",
-    "Postgis functions are awesome but can be finicky. So go slow with them.\n",
+    "Isolating raster datasets can enable users to build out workflows using minimal data from snowex. \n",
     "\n",
     "**You should know**\n",
-    "* Where to find PostGIS functions \n",
-    "* When to use geoalchemy2 over sqlachemy functions call \n",
-    "* How to chain together commands "
+    "* How `RasterMeasurements.from_*` differ from `PointMeasurements.from*` or `LayerMeasurements.from*`"
    ]
   }
  ],
@@ -276,7 +162,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.10.14"
   }
  },
  "nbformat": 4,

From 62328619848ed0024e93e0fa5e54b8c8324e8dbe Mon Sep 17 00:00:00 2001
From: micah johnson <micah.johnson150@gmail.com>
Date: Sat, 10 Aug 2024 21:37:54 -0600
Subject: [PATCH 11/21] removed exporting of data

---
 .../snowex_database/6_exporting_data.ipynb    | 129 ------------------
 1 file changed, 129 deletions(-)
 delete mode 100644 book/tutorials/snowex_database/6_exporting_data.ipynb

diff --git a/book/tutorials/snowex_database/6_exporting_data.ipynb b/book/tutorials/snowex_database/6_exporting_data.ipynb
deleted file mode 100644
index dc74c95..0000000
--- a/book/tutorials/snowex_database/6_exporting_data.ipynb
+++ /dev/null
@@ -1,129 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "female-farming",
-   "metadata": {},
-   "source": [
-    "# Exporting Data \n",
-    "You may want to export your queried data from the database. In this section we talk about how!\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "painted-mountain",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Import the function to get connect to the db\n",
-    "from snowexsql.db import get_db\n",
-    "from snowexsql.data import SiteData, PointData, LayerData, ImageData\n",
-    "\n",
-    "# This is what you will use for all of hackweek to access the db\n",
-    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "metallic-underground",
-   "metadata": {},
-   "source": [
-    "## Shapefiles and CSVs\n",
-    "The following can be done with ANY SiteData, PointData, or LayerData query. \n",
-    "\n",
-    "**Note**: Shapefiles do not support datetime object so they must be converted to strings before writing."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "pleasant-liabilities",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# import the hand method for converting queries to dataframes\n",
-    "from snowexsql.conversions import query_to_geopandas\n",
-    "\n",
-    "# Grab a session\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "qry = session.query(SiteData.geom).limit(10)\n",
-    "\n",
-    "df = query_to_geopandas(qry, engine)\n",
-    "\n",
-    "# Write to shapefile\n",
-    "df.to_file('site_data.shp')\n",
-    "\n",
-    "# Write to a csv\n",
-    "df.to_csv('site_data.csv')\n",
-    "\n",
-    "session.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "contemporary-composer",
-   "metadata": {},
-   "source": [
-    "## Rasters"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "thrown-coverage",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# import the handy function to convert raster db results to rasterio\n",
-    "from snowexsql.conversions import raster_to_rasterio\n",
-    "\n",
-    "# Import the SQL function to access PostGIS functions\n",
-    "from sqlalchemy.sql import func\n",
-    "\n",
-    "# Import rasterio for Writing\n",
-    "import rasterio \n",
-    "\n",
-    "# Grab a session\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "# Query 1 raster tile and convert it to a geotiff\n",
-    "result = session.query(func.ST_AsTiff(ImageData.raster)).limit(1).all()\n",
-    "\n",
-    "# Convert the dataset to a rasterio dataset\n",
-    "dataset = raster_to_rasterio(session, result)\n",
-    "\n",
-    "# Copy the profile/tiff metadata (not to be confused with the database metadata)\n",
-    "profile = dataset[0].profile\n",
-    "\n",
-    "# Write to a file \n",
-    "with rasterio.open('raster.tif', 'w', **profile) as dst:\n",
-    "    dst.write(dataset[0].read(1), 1)\n",
-    "\n",
-    "session.close()"
-   ]
-  }
- ],
- "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": "3.12.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

From ddb0336fda54ba774ee865d18ff7f1295e0238c4 Mon Sep 17 00:00:00 2001
From: Micah Johnson <micah.johnson150@gmail.com>
Date: Thu, 15 Aug 2024 15:20:29 +0000
Subject: [PATCH 12/21] Polishing up tutorial on cryo

---
 .../1_getting_started_example.ipynb           |   50 +-
 .../2_database_structure.ipynb                |   12 +-
 .../snowex_database/3_forming_queries.ipynb   | 1402 ++++++++++++++++-
 .../4_get_spiral_example.ipynb                |   65 +-
 .../5_plot_raster_example.ipynb               |   37 +-
 .../tutorials/snowex_database/8_wrap_up.ipynb |   28 +-
 6 files changed, 1479 insertions(+), 115 deletions(-)

diff --git a/book/tutorials/snowex_database/1_getting_started_example.ipynb b/book/tutorials/snowex_database/1_getting_started_example.ipynb
index 9b115a6..4220218 100644
--- a/book/tutorials/snowex_database/1_getting_started_example.ipynb
+++ b/book/tutorials/snowex_database/1_getting_started_example.ipynb
@@ -6,10 +6,18 @@
    "source": [
     "# SnowEx Database Introduction\n",
     "\n",
-    "SnowEx has introduced a a unique opportunity to study SWE in a way thats unprecedented, but with more data comes new challenges. \n",
+    " \n",
+    "__Tutorial Author Micah'__: [Micah Sandusky](https://github.com/micah-prime)\n",
     "\n",
+    "__Tutorial Author Micah_o__: [Micah Johnson](https://github.com/micahjohnson150)\n",
     "\n",
-    "<img src=\"https://snowexsql.readthedocs.io/en/latest/_images/gallery_overview_example_12_0.png\" alt=\"Grand Mesa Overview\" width=\"1000px\">\n",
+    "[SnowEx](https://snow.nasa.gov/campaigns/snowex) has introduced a unique opportunity to study SWE in a way thats unprecedented, but with more data comes new challenges. \n",
+    "\n",
+    "![examples](./images/data_examples.png)\n",
+    "\n",
+    "\n",
+    "<!-- \n",
+    "<img src=\"https://snowexsql.readthedocs.io/en/latest/_images/gallery_overview_example_12_0.png\" alt=\"Grand Mesa Overview\" width=\"1000px\"> -->\n",
     "\n",
     "**The SnowEx database is a resource that shortcuts the time it takes to ask cross dataset questions**\n",
     "\n",
@@ -38,8 +46,6 @@
     "* Snow off DEM from USGS 3DEP \n",
     "* And almost all the associated metadata\n",
     "\n",
-    "<img src=\"./images/data_examples.png\" alt=\"snowex examples\" style=\"width: 80%;\">\n",
-    "\n",
     "## Technically, what is it?\n",
     "\n",
     "* PostgreSQL database\n",
@@ -52,9 +58,10 @@
     "### So whats the catch?\n",
     "New tech can create barriers...\n",
     "\n",
-    "\n",
-    "<img src=\"./images/pits_not_bits.jpg\" alignment=\"center\" width=\"800\"  />\n",
-    "\n",
+    "```{figure} ./images/pits_not_bits.jpg\n",
+    ":scale: 30 %\n",
+    ":alt: pits not bits\n",
+    "```\n",
     "\n",
     "### TL;DR Do less wrangling, do more crunching. "
    ]
@@ -76,6 +83,13 @@
    "execution_count": 2,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/jovyan/event-page-2024/book/tutorials/snowex_database\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -300,7 +314,7 @@
        "      <td>747974.439978</td>\n",
        "      <td>3134.3</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747974.44 4324012.402)</td>\n",
+       "      <td>POINT (747974.440 4324012.402)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
@@ -372,7 +386,7 @@
        "      <td>747981.436157</td>\n",
        "      <td>3133.1</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747981.436 4324010.4)</td>\n",
+       "      <td>POINT (747981.436 4324010.400)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
@@ -412,10 +426,10 @@
        "4    747984.260913     3150.1        12  POINT (747984.261 4324058.267)  ...   \n",
        "..             ...        ...       ...                             ...  ...   \n",
        "195  747972.708423     3134.6        12  POINT (747972.708 4324012.348)  ...   \n",
-       "196  747974.439978     3134.3        12   POINT (747974.44 4324012.402)  ...   \n",
+       "196  747974.439978     3134.3        12  POINT (747974.440 4324012.402)  ...   \n",
        "197  747977.072289     3133.8        12  POINT (747977.072 4324011.374)  ...   \n",
        "198  747979.704601     3134.2        12  POINT (747979.705 4324010.346)  ...   \n",
-       "199  747981.436157     3133.1        12    POINT (747981.436 4324010.4)  ...   \n",
+       "199  747981.436157     3133.1        12  POINT (747981.436 4324010.400)  ...   \n",
        "\n",
        "           date                     time_created time_updated    id  \\\n",
        "0    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4070   \n",
@@ -465,7 +479,7 @@
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     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -475,6 +489,7 @@
     }
    ],
    "source": [
+    " import os\n",
     "from snowexsql.api import PointMeasurements\n",
     "df = PointMeasurements.from_filter(type=\"depth\", instrument=\"magnaprobe\", limit=200)\n",
     "df.plot()\n",
@@ -485,7 +500,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Old Ways / Database Experts \n",
+    "### Old Ways / Advanced Users \n",
     "Advanced queries can be made using SQL or SQAlchemy under the hood. \n",
     "\n",
     "See previous presentations\n",
@@ -494,6 +509,13 @@
     "* [Hackweek 2021](https://snowex-2021.hackweek.io/tutorials/database/index.html)\n",
     "* [Hackweek 2022](https://snowex-2022.hackweek.io/tutorials/database/index.html)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -512,7 +534,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index 71daabd..b3e7bca 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -20,8 +20,14 @@
     "\n",
     "Data in the database lives in 1 of 4 places. \n",
     "\n",
-    "<img src=\"./images/structure.png\" alt=\"table_structure\" width=\"1000px\">\n",
     "\n",
+    "```{figure} ./images/structure.png\n",
+    ":scale: 50 %\n",
+    ":alt: Structure of the snowex db\n",
+    "\n",
+    "Layout of the database tables\n",
+    "\n",
+    "```\n",
     "\n",
     "The 4th table is a table detailing the site informations. Lots and lots of metadata for which the API has not been written yet.\n",
     "\n",
@@ -48,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 2,
    "id": "8fd4e693",
    "metadata": {},
    "outputs": [
@@ -145,7 +151,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
index 99bf281..0e6f791 100644
--- a/book/tutorials/snowex_database/3_forming_queries.ipynb
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -13,22 +13,602 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>depth</th>\n",
+       "      <th>site_id</th>\n",
+       "      <th>pit_id</th>\n",
+       "      <th>bottom_depth</th>\n",
+       "      <th>comments</th>\n",
+       "      <th>sample_a</th>\n",
+       "      <th>sample_b</th>\n",
+       "      <th>sample_c</th>\n",
+       "      <th>value</th>\n",
+       "      <th>flags</th>\n",
+       "      <th>...</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>observers</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>37.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>167.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:44.561044+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2178928</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>47.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>232.0</td>\n",
+       "      <td>237.0</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-3176.6666666666665</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2024-08-13 17:48:18.956152+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2162916</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>37.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>249.0</td>\n",
+       "      <td>252.0</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-3166.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2024-08-13 17:48:18.956152+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2162917</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>27.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>286.0</td>\n",
+       "      <td>296.0</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-3139.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2024-08-13 17:48:18.956152+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2162918</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>268.0</td>\n",
+       "      <td>265.0</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-3155.3333333333335</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2024-08-13 17:48:18.956152+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2162919</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>47.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>37.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>234.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2024-08-13 17:48:19.004814+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2162920</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>37.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>250.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2024-08-13 17:48:19.004814+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2162921</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>27.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>291.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2024-08-13 17:48:19.004814+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2162922</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>Bogus Upper</td>\n",
+       "      <td>IDBRBU_20191219_1000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>266.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-19</td>\n",
+       "      <td>2024-08-13 17:48:19.004814+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2162923</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>21.0</td>\n",
+       "      <td>Banner Open</td>\n",
+       "      <td>IDBRBO_20191218_1424</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>228.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:47.341833+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2179263</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>Banner Open</td>\n",
+       "      <td>IDBRBO_20191218_1424</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>243.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:47.341833+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2179264</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>21.0</td>\n",
+       "      <td>Banner Open</td>\n",
+       "      <td>IDBRBO_20191218_1424</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>228.0</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-6590.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:47.428257+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2179269</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>Banner Open</td>\n",
+       "      <td>IDBRBO_20191218_1424</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>243.0</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-6585.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:47.428257+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2179270</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>27.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>229.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:44.561044+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2178929</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>253.5</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:44.561044+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2178930</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>37.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>173.0</td>\n",
+       "      <td>161.0</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-3221.6666666666665</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:44.656838+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2178937</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>27.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>226.0</td>\n",
+       "      <td>233.0</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-3180.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:44.656838+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2178938</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>248.0</td>\n",
+       "      <td>259.0</td>\n",
+       "      <td>-9999</td>\n",
+       "      <td>-3164.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-13 17:49:44.656838+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2178939</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>18 rows × 29 columns</p>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Axes: >"
+       "    depth        site_id                pit_id  bottom_depth comments  \\\n",
+       "0    37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
+       "1    47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
+       "2    37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
+       "3    27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
+       "4    17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
+       "5    47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
+       "6    37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
+       "7    27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
+       "8    17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
+       "9    21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
+       "10   11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
+       "11   21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
+       "12   11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
+       "13   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
+       "14   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
+       "15   37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
+       "16   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
+       "17   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
+       "\n",
+       "   sample_a sample_b sample_c                value flags  ...        date  \\\n",
+       "0      None     None     None                167.0    AD  ...  2019-12-18   \n",
+       "1     232.0    237.0    -9999  -3176.6666666666665    AD  ...  2019-12-19   \n",
+       "2     249.0    252.0    -9999              -3166.0    AD  ...  2019-12-19   \n",
+       "3     286.0    296.0    -9999              -3139.0    AD  ...  2019-12-19   \n",
+       "4     268.0    265.0    -9999  -3155.3333333333335    AD  ...  2019-12-19   \n",
+       "5      None     None     None                234.5    AD  ...  2019-12-19   \n",
+       "6      None     None     None                250.5    AD  ...  2019-12-19   \n",
+       "7      None     None     None                291.0    AD  ...  2019-12-19   \n",
+       "8      None     None     None                266.5    AD  ...  2019-12-19   \n",
+       "9      None     None     None                228.0    AD  ...  2019-12-18   \n",
+       "10     None     None     None                243.0    AD  ...  2019-12-18   \n",
+       "11    228.0    -9999    -9999              -6590.0    AD  ...  2019-12-18   \n",
+       "12    243.0    -9999    -9999              -6585.0    AD  ...  2019-12-18   \n",
+       "13     None     None     None                229.5    AD  ...  2019-12-18   \n",
+       "14     None     None     None                253.5    AD  ...  2019-12-18   \n",
+       "15    173.0    161.0    -9999  -3221.6666666666665    AD  ...  2019-12-18   \n",
+       "16    226.0    233.0    -9999              -3180.0    AD  ...  2019-12-18   \n",
+       "17    248.0    259.0    -9999              -3164.0    AD  ...  2019-12-18   \n",
+       "\n",
+       "                       time_created  time_updated       id  \\\n",
+       "0  2024-08-13 17:49:44.561044+00:00          None  2178928   \n",
+       "1  2024-08-13 17:48:18.956152+00:00          None  2162916   \n",
+       "2  2024-08-13 17:48:18.956152+00:00          None  2162917   \n",
+       "3  2024-08-13 17:48:18.956152+00:00          None  2162918   \n",
+       "4  2024-08-13 17:48:18.956152+00:00          None  2162919   \n",
+       "5  2024-08-13 17:48:19.004814+00:00          None  2162920   \n",
+       "6  2024-08-13 17:48:19.004814+00:00          None  2162921   \n",
+       "7  2024-08-13 17:48:19.004814+00:00          None  2162922   \n",
+       "8  2024-08-13 17:48:19.004814+00:00          None  2162923   \n",
+       "9  2024-08-13 17:49:47.341833+00:00          None  2179263   \n",
+       "10 2024-08-13 17:49:47.341833+00:00          None  2179264   \n",
+       "11 2024-08-13 17:49:47.428257+00:00          None  2179269   \n",
+       "12 2024-08-13 17:49:47.428257+00:00          None  2179270   \n",
+       "13 2024-08-13 17:49:44.561044+00:00          None  2178929   \n",
+       "14 2024-08-13 17:49:44.561044+00:00          None  2178930   \n",
+       "15 2024-08-13 17:49:44.656838+00:00          None  2178937   \n",
+       "16 2024-08-13 17:49:44.656838+00:00          None  2178938   \n",
+       "17 2024-08-13 17:49:44.656838+00:00          None  2178939   \n",
+       "\n",
+       "                                     doi  date_accessed instrument     type  \\\n",
+       "0   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "1   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "2   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "3   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "4   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "5   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "6   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "7   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "8   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "9   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "10  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "11  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "12  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "13  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "14  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "15  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "16  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "17  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
+       "\n",
+       "   units observers  \n",
+       "0   None      None  \n",
+       "1   None      None  \n",
+       "2   None      None  \n",
+       "3   None      None  \n",
+       "4   None      None  \n",
+       "5   None      None  \n",
+       "6   None      None  \n",
+       "7   None      None  \n",
+       "8   None      None  \n",
+       "9   None      None  \n",
+       "10  None      None  \n",
+       "11  None      None  \n",
+       "12  None      None  \n",
+       "13  None      None  \n",
+       "14  None      None  \n",
+       "15  None      None  \n",
+       "16  None      None  \n",
+       "17  None      None  \n",
+       "\n",
+       "[18 rows x 29 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -48,9 +628,9 @@
     "    date_less_equal=datetime(2020, 1, 1),\n",
     "    date_greater_equal=datetime(2019, 12, 1),\n",
     ")\n",
+    "df.plot()\n",
     "\n",
-    "df\n",
-    "df.plot()"
+    "df"
    ]
   },
   {
@@ -62,22 +642,399 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>depth</th>\n",
+       "      <th>site_id</th>\n",
+       "      <th>pit_id</th>\n",
+       "      <th>bottom_depth</th>\n",
+       "      <th>comments</th>\n",
+       "      <th>sample_a</th>\n",
+       "      <th>sample_b</th>\n",
+       "      <th>sample_c</th>\n",
+       "      <th>value</th>\n",
+       "      <th>flags</th>\n",
+       "      <th>...</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>observers</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>84.0</td>\n",
+       "      <td>1C5</td>\n",
+       "      <td>COGM1C5_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>45.6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2184545</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>79.0</td>\n",
+       "      <td>1C5</td>\n",
+       "      <td>COGM1C5_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>38.2</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2184546</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>74.0</td>\n",
+       "      <td>1C5</td>\n",
+       "      <td>COGM1C5_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2184547</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>69.0</td>\n",
+       "      <td>1C5</td>\n",
+       "      <td>COGM1C5_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>23.5</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2184548</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>64.0</td>\n",
+       "      <td>1C5</td>\n",
+       "      <td>COGM1C5_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>22.4</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2184549</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>155</th>\n",
+       "      <td>28.0</td>\n",
+       "      <td>1C1</td>\n",
+       "      <td>COGM1C1_20200131</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>13.1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2186850</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>156</th>\n",
+       "      <td>23.0</td>\n",
+       "      <td>1C1</td>\n",
+       "      <td>COGM1C1_20200131</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>10.1</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2186851</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>157</th>\n",
+       "      <td>18.0</td>\n",
+       "      <td>1C1</td>\n",
+       "      <td>COGM1C1_20200131</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>10.6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2186852</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>158</th>\n",
+       "      <td>13.0</td>\n",
+       "      <td>1C1</td>\n",
+       "      <td>COGM1C1_20200131</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>10.5</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2186853</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>159</th>\n",
+       "      <td>8.0</td>\n",
+       "      <td>1C1</td>\n",
+       "      <td>COGM1C1_20200131</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>13.2</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-31</td>\n",
+       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2186854</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>160 rows × 29 columns</p>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Axes: >"
+       "     depth site_id            pit_id bottom_depth comments sample_a sample_b  \\\n",
+       "0     84.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
+       "1     79.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
+       "2     74.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
+       "3     69.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
+       "4     64.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
+       "..     ...     ...               ...          ...      ...      ...      ...   \n",
+       "155   28.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
+       "156   23.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
+       "157   18.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
+       "158   13.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
+       "159    8.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
+       "\n",
+       "    sample_c value flags  ...        date                     time_created  \\\n",
+       "0       None  45.6  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
+       "1       None  38.2  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
+       "2       None  24.5  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
+       "3       None  23.5  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
+       "4       None  22.4  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
+       "..       ...   ...   ...  ...         ...                              ...   \n",
+       "155     None  13.1  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
+       "156     None  10.1  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
+       "157     None  10.6  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
+       "158     None  10.5  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
+       "159     None  13.2  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
+       "\n",
+       "     time_updated       id                                   doi  \\\n",
+       "0            None  2184545  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "1            None  2184546  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "2            None  2184547  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "3            None  2184548  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "4            None  2184549  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "..            ...      ...                                   ...   \n",
+       "155          None  2186850  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "156          None  2186851  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "157          None  2186852  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "158          None  2186853  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "159          None  2186854  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "\n",
+       "     date_accessed     instrument                   type units  \\\n",
+       "0       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "1       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "2       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "3       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "4       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "..             ...            ...                    ...   ...   \n",
+       "155     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "156     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "157     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "158     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "159     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
+       "\n",
+       "                                 observers  \n",
+       "0                                Kate Hale  \n",
+       "1                                Kate Hale  \n",
+       "2                                Kate Hale  \n",
+       "3                                Kate Hale  \n",
+       "4                                Kate Hale  \n",
+       "..                                     ...  \n",
+       "155  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
+       "156  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
+       "157  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
+       "158  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
+       "159  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
+       "\n",
+       "[160 rows x 29 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -94,9 +1051,8 @@
     "# Find some SSA measurements within a distance of a known point\n",
     "df = LayerMeasurements.from_area(pt=Point(740820.624625,4.327326e+06), crs=26912, buffer=500,\n",
     "    type='specific_surface_area')\n",
-    "\n",
-    "df\n",
-    "df.plot()"
+    "df.plot()\n",
+    "df"
    ]
   },
   {
@@ -109,7 +1065,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -120,7 +1076,7 @@
       "\n",
       "Available Instruments = Mala 1600 MHz GPR, None, Mala 800 MHz GPR, pulse EKKO Pro multi-polarization 1 GHz GPR, pit ruler, mesa, magnaprobe, camera\n",
       "\n",
-      "Available Dates = 2020-05-28, 2020-01-09, 2020-05-23, 2020-01-04, 2019-11-29, 2019-10-20, 2019-11-30, 2020-04-17, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2020-04-01, 2020-05-14, 2019-10-29, 2019-10-14, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-29, 2020-04-26, 2019-10-12, 2020-02-23, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2020-02-12, 2020-05-06, 2019-11-19, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2019-12-27, 2019-10-01, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2020-03-07, 2019-10-31, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2019-12-25, 2019-12-14, 2019-10-24, 2020-02-01, 2020-03-11, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2019-10-10, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2019-12-26, 2019-12-15, 2020-05-07, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2020-03-15, 2020-01-16, 2019-11-23, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2020-05-31, 2020-03-04, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2019-10-09, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2020-02-21, 2019-10-30, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2019-12-22, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2020-02-22, 2020-05-08, 2020-01-24, 2019-12-24, 2020-04-22, 2020-03-31, 2020-01-08, 2019-11-04, 2020-02-06, 2020-03-05, 2020-03-14, 2020-06-09, 2020-02-20, 2020-04-05, 2020-06-03, 2019-10-16, 2020-04-15, 2019-12-03, 2020-05-30, 2019-11-09, 2020-04-28, 2020-01-12, 2020-05-20, 2020-05-02, 2020-01-28, 2020-02-05, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2020-04-09, 2019-09-30, 2020-01-05, 2019-10-27, 2020-04-10, 2020-03-16, 2020-03-21, 2020-02-02, 2020-04-08, 2020-02-25, 2020-01-29, 2019-12-04, 2019-11-26, 2020-03-19, 2020-01-20, 2020-02-27, 2019-12-31, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-03-01, 2020-02-17, 2020-05-21, 2019-10-23, 2020-04-11, 2019-10-21, 2019-11-25, 2020-04-12, 2020-03-13, 2020-05-01, 2020-03-08, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2020-05-15, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2020-05-18, 2019-12-05, 2019-11-20, 2020-06-06, 2019-11-18, 2020-06-10, 2020-01-27, 2020-01-18, 2020-06-04, 2020-04-27, 2020-03-25, 2019-10-15, 2020-03-26, 2019-10-03\n",
+      "Available Dates = 2020-05-28, 2020-01-09, 2020-05-23, 2020-01-04, 2019-11-29, 2019-10-20, 2019-11-30, 2020-04-17, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2020-04-01, 2020-05-14, 2019-10-29, 2019-10-14, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-29, 2020-04-26, 2019-10-12, 2020-02-23, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2020-02-12, 2020-05-06, 2019-11-19, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2019-12-27, 2019-10-01, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2020-03-07, 2019-10-31, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2019-12-25, 2019-12-14, 2019-10-24, 2020-02-01, 2020-03-11, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2019-10-10, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2019-12-26, 2019-12-15, 2020-05-07, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2020-03-15, 2020-01-16, 2019-11-23, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2020-05-31, 2020-03-04, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2019-10-09, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2020-02-21, 2019-10-30, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2019-12-22, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2020-02-22, 2020-05-08, 2020-01-24, 2019-12-24, 2020-04-22, 2020-03-31, 2020-01-08, 2019-11-04, 2020-02-06, 2020-03-05, 2020-03-14, 2020-06-09, 2020-02-20, 2020-04-05, 2020-06-03, 2019-10-16, 2020-04-15, 2019-12-03, 2020-05-30, 2019-11-09, 2020-04-28, 2020-01-12, 2020-05-20, 2020-05-02, 2020-02-05, 2020-01-28, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2020-04-09, 2019-09-30, 2020-01-05, 2019-10-27, 2020-04-10, 2020-03-16, 2020-03-21, 2020-02-02, 2020-04-08, 2020-02-25, 2020-01-29, 2019-12-04, 2019-11-26, 2020-03-19, 2020-01-20, 2020-02-27, 2019-12-31, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-03-01, 2020-02-17, 2020-05-21, 2019-10-23, 2020-04-11, 2019-10-21, 2019-11-25, 2020-04-12, 2020-03-13, 2020-05-01, 2020-03-08, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2020-05-15, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2020-05-18, 2019-12-05, 2019-11-20, 2020-06-06, 2019-11-18, 2020-06-10, 2020-01-27, 2020-01-18, 2020-06-04, 2020-04-27, 2020-03-25, 2019-10-15, 2020-03-26, 2019-10-03\n",
       "\n",
       "Available sites = None, Grand Mesa\n"
      ]
@@ -156,7 +1112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -182,7 +1138,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -199,11 +1155,11 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mLargeQueryCheckException\u001b[0m                  Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[24], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PointMeasurements\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m# Ask the DB for a huge query.\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mPointMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtwo_way_travel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      4\u001b[0m df\n",
-      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:246\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    244\u001b[0m         session\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m    245\u001b[0m         LOG\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed query for PointData\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 246\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    248\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df\n",
-      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:241\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    239\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    240\u001b[0m     qry \u001b[38;5;241m=\u001b[39m session\u001b[38;5;241m.\u001b[39mquery(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMODEL)\n\u001b[0;32m--> 241\u001b[0m     qry \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mextend_qry\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    242\u001b[0m     df \u001b[38;5;241m=\u001b[39m query_to_geopandas(qry, engine)\n\u001b[1;32m    243\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
-      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:139\u001b[0m, in \u001b[0;36mBaseDataset.extend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not an allowed filter\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_size:\n\u001b[0;32m--> 139\u001b[0m     \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_size\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    141\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m qry\n",
-      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:80\u001b[0m, in \u001b[0;36mBaseDataset._check_size\u001b[0;34m(cls, qry, kwargs)\u001b[0m\n\u001b[1;32m     78\u001b[0m count \u001b[38;5;241m=\u001b[39m qry\u001b[38;5;241m.\u001b[39mcount()\n\u001b[1;32m     79\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m count \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n\u001b[0;32m---> 80\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m LargeQueryCheckException(\n\u001b[1;32m     81\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuery will return \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcount\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m number of records,\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     82\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m but we have a default max of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     83\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m If you want to proceed, set the \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m filter\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     84\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m to the desired number of records.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     85\u001b[0m     )\n",
+      "Cell \u001b[0;32mIn[6], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PointMeasurements\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m# Ask the DB for a huge query.\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mPointMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtwo_way_travel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      4\u001b[0m df\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m# Throws an exception, try adding the limit keyword arg in the function\u001b[39;00m\n",
+      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:246\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    244\u001b[0m         session\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m    245\u001b[0m         LOG\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed query for PointData\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 246\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    248\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df\n",
+      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:241\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    239\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    240\u001b[0m     qry \u001b[38;5;241m=\u001b[39m session\u001b[38;5;241m.\u001b[39mquery(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMODEL)\n\u001b[0;32m--> 241\u001b[0m     qry \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mextend_qry\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    242\u001b[0m     df \u001b[38;5;241m=\u001b[39m query_to_geopandas(qry, engine)\n\u001b[1;32m    243\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
+      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:139\u001b[0m, in \u001b[0;36mBaseDataset.extend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not an allowed filter\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_size:\n\u001b[0;32m--> 139\u001b[0m     \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_size\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    141\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m qry\n",
+      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:80\u001b[0m, in \u001b[0;36mBaseDataset._check_size\u001b[0;34m(cls, qry, kwargs)\u001b[0m\n\u001b[1;32m     78\u001b[0m count \u001b[38;5;241m=\u001b[39m qry\u001b[38;5;241m.\u001b[39mcount()\n\u001b[1;32m     79\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m count \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n\u001b[0;32m---> 80\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m LargeQueryCheckException(\n\u001b[1;32m     81\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuery will return \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcount\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m number of records,\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     82\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m but we have a default max of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     83\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m If you want to proceed, set the \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m filter\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     84\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m to the desired number of records.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     85\u001b[0m     )\n",
       "\u001b[0;31mLargeQueryCheckException\u001b[0m: Query will return 2296512 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records."
      ]
     }
@@ -230,36 +1186,388 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Failed query for PointData\n"
-     ]
-    },
-    {
-     "ename": "LargeQueryCheckException",
-     "evalue": "Query will return 8696 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mLargeQueryCheckException\u001b[0m                  Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[25], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m LayerMeasurements\n\u001b[1;32m      2\u001b[0m ssa_instruments \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIS3-SP-15-01US\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIRIS\u001b[39m\u001b[38;5;124m\"\u001b[39m,  \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIS3-SP-11-01F\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m----> 3\u001b[0m \u001b[43mLayerMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[43minstrument\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mssa_instruments\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:246\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    244\u001b[0m         session\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m    245\u001b[0m         LOG\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed query for PointData\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 246\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    248\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df\n",
-      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:241\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    239\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    240\u001b[0m     qry \u001b[38;5;241m=\u001b[39m session\u001b[38;5;241m.\u001b[39mquery(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMODEL)\n\u001b[0;32m--> 241\u001b[0m     qry \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mextend_qry\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    242\u001b[0m     df \u001b[38;5;241m=\u001b[39m query_to_geopandas(qry, engine)\n\u001b[1;32m    243\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
-      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:139\u001b[0m, in \u001b[0;36mBaseDataset.extend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not an allowed filter\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_size:\n\u001b[0;32m--> 139\u001b[0m     \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_size\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    141\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m qry\n",
-      "File \u001b[0;32m~/projects/snowex/snowexsql/snowexsql/api.py:80\u001b[0m, in \u001b[0;36mBaseDataset._check_size\u001b[0;34m(cls, qry, kwargs)\u001b[0m\n\u001b[1;32m     78\u001b[0m count \u001b[38;5;241m=\u001b[39m qry\u001b[38;5;241m.\u001b[39mcount()\n\u001b[1;32m     79\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m count \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n\u001b[0;32m---> 80\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m LargeQueryCheckException(\n\u001b[1;32m     81\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuery will return \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcount\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m number of records,\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     82\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m but we have a default max of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     83\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m If you want to proceed, set the \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m filter\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     84\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m to the desired number of records.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     85\u001b[0m     )\n",
-      "\u001b[0;31mLargeQueryCheckException\u001b[0m: Query will return 8696 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records."
-     ]
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+       "      <th>pit_id</th>\n",
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+       "      <td>2C12</td>\n",
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+       "      <td>None</td>\n",
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+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>45.02</td>\n",
+       "      <td>None</td>\n",
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+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12524</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
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+       "      <td>Kate Hale</td>\n",
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+       "      <td>86.0</td>\n",
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+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>39.82</td>\n",
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+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12525</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>reflectance</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>81.0</td>\n",
+       "      <td>2C12</td>\n",
+       "      <td>COGM2C12_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>37.85</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12526</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>reflectance</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>76.0</td>\n",
+       "      <td>2C12</td>\n",
+       "      <td>COGM2C12_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>35.11</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12527</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>reflectance</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>71.0</td>\n",
+       "      <td>2C12</td>\n",
+       "      <td>COGM2C12_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>34.86</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12528</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>reflectance</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>72.0</td>\n",
+       "      <td>2C13</td>\n",
+       "      <td>COGM2C13_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>40.5</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12619</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>67.0</td>\n",
+       "      <td>2C13</td>\n",
+       "      <td>COGM2C13_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>22.6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12620</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>62.0</td>\n",
+       "      <td>2C13</td>\n",
+       "      <td>COGM2C13_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>26.6</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12621</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>57.0</td>\n",
+       "      <td>2C13</td>\n",
+       "      <td>COGM2C13_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>24.3</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12622</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>52.0</td>\n",
+       "      <td>2C13</td>\n",
+       "      <td>COGM2C13_20200212</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-12</td>\n",
+       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>12623</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>specific_surface_area</td>\n",
+       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 29 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    depth site_id             pit_id bottom_depth comments sample_a sample_b  \\\n",
+       "0    91.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
+       "1    86.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
+       "2    81.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
+       "3    76.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
+       "4    71.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
+       "..    ...     ...                ...          ...      ...      ...      ...   \n",
+       "95   72.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
+       "96   67.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
+       "97   62.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
+       "98   57.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
+       "99   52.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
+       "\n",
+       "   sample_c  value flags  ...        date                     time_created  \\\n",
+       "0      None  45.02  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
+       "1      None  39.82  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
+       "2      None  37.85  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
+       "3      None  35.11  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
+       "4      None  34.86  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
+       "..      ...    ...   ...  ...         ...                              ...   \n",
+       "95     None   40.5  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
+       "96     None   22.6  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
+       "97     None   26.6  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
+       "98     None   24.3  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
+       "99     None   26.0  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
+       "\n",
+       "    time_updated     id                                   doi  date_accessed  \\\n",
+       "0           None  12524  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "1           None  12525  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "2           None  12526  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "3           None  12527  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "4           None  12528  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "..           ...    ...                                   ...            ...   \n",
+       "95          None  12619  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "96          None  12620  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "97          None  12621  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "98          None  12622  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "99          None  12623  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "\n",
+       "       instrument                   type units  observers  \n",
+       "0   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "1   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "2   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "3   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "4   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "..            ...                    ...   ...        ...  \n",
+       "95  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "96  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "97  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "98  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "99  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "\n",
+       "[100 rows x 29 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "from snowexsql.api import LayerMeasurements\n",
     "ssa_instruments = [\"IS3-SP-15-01US\", \"IRIS\",  \"IS3-SP-11-01F\"]\n",
-    "LayerMeasurements.from_filter(instrument=ssa_instruments)"
+    "LayerMeasurements.from_filter(instrument=ssa_instruments, limit=100)"
    ]
   },
   {
@@ -272,7 +1580,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -658,7 +1966,7 @@
        "[100 rows x 23 columns]"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -701,7 +2009,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/4_get_spiral_example.ipynb b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
index ccf1f6f..8978104 100644
--- a/book/tutorials/snowex_database/4_get_spiral_example.ipynb
+++ b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -97,22 +97,22 @@
        "      <td>67.0</td>\n",
        "      <td>1N1</td>\n",
        "      <td>COGM1N1_20200208</td>\n",
-       "      <td>57.0</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
        "      <td>None</td>\n",
-       "      <td>217.0</td>\n",
-       "      <td>213.0</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>215.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>&lt; 1 mm</td>\n",
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-08</td>\n",
-       "      <td>2022-06-30 22:28:48.330383+00:00</td>\n",
+       "      <td>2024-08-13 17:45:17.466548+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>11536</td>\n",
+       "      <td>2141594</td>\n",
        "      <td>https://doi.org/10.5067/DUD2VZEVBJ7S</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>None</td>\n",
-       "      <td>density</td>\n",
+       "      <td>grain_size</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
@@ -123,21 +123,21 @@
       ],
       "text/plain": [
        "   depth site_id            pit_id  bottom_depth comments sample_a sample_b  \\\n",
-       "0   67.0     1N1  COGM1N1_20200208          57.0     None    217.0    213.0   \n",
+       "0   67.0     1N1  COGM1N1_20200208          66.0     None     None     None   \n",
        "\n",
-       "  sample_c  value flags  ...        date                     time_created  \\\n",
-       "0      NaN  215.0  None  ...  2020-02-08 2022-06-30 22:28:48.330383+00:00   \n",
+       "  sample_c   value flags  ...        date                     time_created  \\\n",
+       "0     None  < 1 mm  None  ...  2020-02-08 2024-08-13 17:45:17.466548+00:00   \n",
        "\n",
-       "   time_updated     id                                   doi  date_accessed  \\\n",
-       "0          None  11536  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
+       "   time_updated       id                                   doi  date_accessed  \\\n",
+       "0          None  2141594  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
        "\n",
-       "  instrument     type units observers  \n",
-       "0       None  density  None      None  \n",
+       "  instrument        type units observers  \n",
+       "0       None  grain_size  None      None  \n",
        "\n",
        "[1 rows x 29 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -162,7 +162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -389,7 +389,7 @@
        "      <td>740531.910061</td>\n",
        "      <td>3035.700000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740531.91 4324303.583)</td>\n",
+       "      <td>POINT (740531.910 4324303.583)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-08</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
@@ -437,7 +437,7 @@
        "      <td>740529.975057</td>\n",
        "      <td>3035.500000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740529.975 4324310.19)</td>\n",
+       "      <td>POINT (740529.975 4324310.190)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-08</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
@@ -501,9 +501,9 @@
        "4    740510.844183  3033.300000        12  POINT (740510.844 4324284.052)   \n",
        "..             ...          ...       ...                             ...   \n",
        "106  740533.709339  3035.200000        12  POINT (740533.709 4324301.416)   \n",
-       "107  740531.910061  3035.700000        12   POINT (740531.91 4324303.583)   \n",
+       "107  740531.910061  3035.700000        12  POINT (740531.910 4324303.583)   \n",
        "108  740531.808265  3036.100000        12  POINT (740531.808 4324306.913)   \n",
-       "109  740529.975057  3035.500000        12   POINT (740529.975 4324310.19)   \n",
+       "109  740529.975057  3035.500000        12  POINT (740529.975 4324310.190)   \n",
        "110  740501.915674  3029.909912        12  POINT (740501.916 4324292.667)   \n",
        "\n",
        "     ...        date                     time_created time_updated     id  \\\n",
@@ -548,7 +548,7 @@
        "[111 rows x 23 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -571,7 +571,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {
     "tags": [
      "nbsphinx-gallery",
@@ -582,16 +582,16 @@
     {
      "data": {
       "text/plain": [
-       "Text(38.347222222222214, 0.5, 'Northing [m]')"
+       "Text(38.097222222222214, 0.5, 'Northing [m]')"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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5LFu2jLFjx3ovgFOmTGH16tVs2bKl0S44gEmTJvHVV1/5zKJzu911ckVNnz4djUbD4cOHGTVqVL23073++us+f7/xxhsAPjPemttaWB+1Ws2YMWO8rZXbt29vsOy0adNQq9U8//zzDZYZN24cRqOxzqSCzMxMb5dpU1x00UUUFhbidrvrff369+8fcN2g4dcu0MepeR9Of5/eeecdXC5Xo89HURQ0Gg1qtdq7rbKyktdeey3guraFAQMG8Lvf/Y6nn35apvHogmTLUhf1+eefY7PZKCsrA6pnL7333nsAzJgxA5PJBFQ33a9fvx6A3bt3e+8bFxdHXFwcEyZM8B5z69at3un2VqsVIYT3mKNHjw6o5aC2u+66i7vuustvmfPPPx+dTsc111zDggULqKqq4vnnn29RU/no0aPp378/f/nLX3C5XERFRbF69Wo2bNjgU27AgAH07t2bv/3tbwghiI6O5pNPPvGO72mO6dOn06NHDy6++GIGDBiAx+Nh586d/Pvf/8ZisXD77bc3+Zj3338/n376KZMmTeK+++4jOjqa119/nc8++4ylS5cSERHhLVuTJX3NmjU88MAD3u1Tp071tp4FEiz9/e9/5+OPP2by5Mncd999mEwmnn32WWw2m0+5tLQ0/vnPf3Lvvfdy5MgRLrjgAqKiosjNzeWnn37CbDb71EOn0/Hvf/+b8vJyRo8ezcaNG3nooYe48MILOeecc7zlhgwZwrfffssnn3xCYmIiYWFh3ot5IF544QW+/vprZs6cSUpKClVVVd6UDP6ef1paGvfccw8PPvgglZWVXHPNNURERLB3714KCgp44IEHiIyM5B//+Af33HMP119/Pddccw2FhYU88MADGAwG7r///oDrCXD11Vfz+uuvM2PGDG6//XbOOusstFotmZmZfPPNN8yaNYtLL700oLrVvHYffPABzz//PCNHjkSlUjFq1KiAH+eMM87guuuuY9myZWi1WqZOncovv/zCY489FlBS2ZkzZ/L4448ze/Zs/vCHP1BYWMhjjz1Wb2vmkCFDeOutt3j77bfp1asXBoOBIUOGNHjsY8eOsWXLFqB6JivgPUelpaXVG5zXtmjRIl5//XW++eYbzGazz76mnCtDUVVVVaMzQQOh0+l8WgxDRpAHmEtBkpqa6p1xdfqt9gyOmlkh9d1On4VSM1upvtsrr7zitz6nzz5pSH0zdT755BMxbNgwYTAYRPfu3cVf//pX8fnnn9eZuTZhwgQxaNCgOsecM2dOnWMeOHBATJs2TYSHh4u4uDhx6623is8++6zOMffu3SvOP/98ERYWJqKiosQVV1whjh8/XmeGYaCz4d5++20xe/Zs0bdvX2GxWIRWqxUpKSni//7v/8TevXt9yqampoqZM2fWOcbps6WEEGL37t3i4osvFhEREUKn04lhw4Y1+J6MGDFCAOKHH37wbjtx4oQA6sxG8ueHH34QY8eOFXq9XiQkJIi//vWv4sUXX6z3dfjwww/FpEmTRHh4uNDr9SI1NVX89re/FevWrfOWqZmB9PPPP4uJEycKo9EooqOjxR//+EdRXl7uc7ydO3eK8ePHC5PJ5PNZrXkftmzZ4lP+9JmOmzZtEpdeeqlITU0Ver1exMTEiAkTJoiPP/44oOf+6quvitGjRwuDwSAsFosYMWJEndf7v//9rxg6dKjQ6XQiIiJCzJo1S+zZs8enTCCz4YQQwul0iscee8z7PbBYLGLAgAHipptuEgcPHmxS3YqKisRvf/tbERkZKRRF8Xn8QB/HbreLP//5z6Jbt27CYDCIsWPHik2bNonU1NSAZsO9/PLLon///kKv14tevXqJJUuWiOXLl9f57Bw9elRMmzZNhIWFCcDvTFkhTr3/9d1q18vf+eiee+4RQJ3ZcE05V4aayspKgdbQ4PNryi0hIcE7qzCUKELUyvIlSZLUQc2dO5f33nuP8vLyYFdFkroUq9VKREQEypm/AbW2+QdyOxHbP6S0tDTklq6S3XCSJEmSJDVOrUXRND9YCuWWGRksSZIkSZLUOEWpvrXk/iFKzoaTJCkkrFixQnbBSVIwKQooqhbcZLAkSZIkSZLUKcluOEmSJEmSGlfTQtSS+4coGSxJkiRJktS4LjxmSQZLHYzH4yErK4uwsDBvhmhJkiRJqo8QgrKyMpKSklCpQrflpqOTwVIHk5WV1ax1myRJkqSuKyMjo9mLJAdMdsNJHUXNWlwZGRkhl7RLkiRJal9Wq5Xk5GTvtaNNyWBJ6ihqut7Cw8NlsCRJkiQFRA7baFsyWJIkSZIkqVGKSkFRtSAoUykhm8VbBkuSJEmSJDVOdsNJkiRJkiT50YWDpdCtuSRJkiRJUjuQLUuSJEmSJDVOJqWUJEmSJEnyQ3bDSZIkSZIkSfWRLUuS1MF4hEAVws3VkiR1UorSwpal0D2vyWBJkjqAQpudT3/J4duD+VQ43EQYtEwd0I0ZgxKw6OXXVJKkDkCOWZIkKVhOlFRy32d7qXC48JzM2FZa5WT1rhN8f7iABy8aRKRRG9xKSpIkdWFyzJIkBZEQgqe+PeQTKNXwCCgot7N8Y3pwKidJklRbzQDvltxClGxZkqQgOlxg42hRRYP7PQK2HC+mqMJBtEnXjjWTJEk6XUsDHhksSZLUDOmFtkbLCAHHiypksNQOisrt7M0soazShVGnpn9SBAmRBrlIqSR1cTJYkqQg0qgC+6WlVXfsX2ROlwen24NBp/Y7k08IQVmZHbvdjVqtEB5uQKMJ/nMTQvD9vjx2Hi2qHoMqAAV+PlZMr3gLFwzvjqaDvweS1ObkAG9JkoJhWI8IFKW69aghRq2avnGWFj2O0+3h5xOllFQ6iTbpGNo9AnVLVg8/6URRBVsOFXC8oLqFTK9VMSQlilG9Y9Bp1D5lrWVVZGSU4nJ5vNsUpZTYWDOJCWFBbb3Znl7EzqNFQK334uS/6bnlfLsnh6lDk4JTOUnqKLpwUkoZLElSEEWbdJzXO5bvDhc0GDBdNDgBXQtaX745kMdrPx3H5nB7t0UYtdwwNpVxPWOafdyD2Va+2HHCZ5vd6WHb4UKO5pVz+dhU9NrqgKnc5iA9vbjOMYSA/HwbQgi6J0U0uy4t4fYIth0uaHC/APZlljK2XxwWg5yVKHVhXThYCt2aS1In8fuzezKse3WgUNPYU/Pv5H5xXDase7OP/c2BPF7YkO4TKAGUVjpZ9s0hfjrZmtJUdqebtbuyEHgbYLwEUFhmZ+vhQu+2nByr3+MVFFTgdLr9lmkruSWVVDk9fssI4Fh+4+PLJEnqnGTLkiQFmU6j4m/n92dfThnfHS6grMpJjFnPxL5x9Io1N/u4TreHVVsy/JZ59adjjEqNanLG8ANZVlyn5zqoRQC7jxcztl8cHrcHm83Z6DFLSiqJa2F3Y3P4ex4+5dz+AypJ6vTkmCVJkoJJURQGJoYzMDG81Y7584lSyu0uv2Xyyx0czCunf3xYk45dWG5HpVAnN1RtDpeHCrsr4JNMsIKRGIuOmjHd/sSFG9qjOpLUcXXhbjgZLElSJ2Wtarw1pynlagt0dp5WrUIT4EBynTY4pyOzQUuv+DCO5JXVO25MASItOhKjjAEdb9OBEzy3Zgc//JqJRq1i5pm9+eO0EfRLjG7dikuS1G5ksCRJnVS0ObC8TIGWq61XfBjbjhQ2uF8BEqKMGHTVA7wjwvWUWu0Nl1cgMrL5LTdCCA7klrHpcCG51iqMWjXDUyIZnRaDUadu9P4TB8WTZ62ivMrpEzApSnXAd8Hw7gHN1lv60Wbufes7NCoVLk91S9nza3bwn7U7efuOWVw8qk+zn6MkBV0XblkK3ZpLkuTX4MQIv2vKKUD3CAO9Ypo+Lioh0kD3aFODQxAEcFafWO/fiYnhqPy0MCUlhqNuZh4jjxC8veU4L313hL1ZpeSX2TleVMHHO7P41xf7KChrOEirYTZouXp8Gmf2jEF/cuahWqUwqEckV4/vGVAX3De/HOPet74D8AZKUD3bzuX2cPWTH5NVVN6s5yhJHYJKafktRMlgSZI6KbVK4Xfj0urdp1DdanLDuLRm5TdSFIWZI3uQGGk6+XftmXwKU4ckklprsLZer6Fvn1gsFt9WLJ1WTUpyJLEtGMi+4WA+W49WpyU4fQxVud3F8g1H8PhLZHWSUadh/IBu/OH8fvxxen9unt6fyUMSiQyw5e2pz7c12OUoqB6TtfzrXQEdS5Kkat999x0XX3wxSUlJKIrChx9+6LNfCMGiRYtISkrCaDQyceJE9uzZ41PGbrdz6623Ehsbi9ls5pJLLiEzM7NJ9ZDBkiR1YmPSovnr1H50C9P7bE+KMHDP9AEMaUFuI4NWzeVjU/jt2FSGpUZzRo9Izj2jGzdO6cPA5Mi65Q0aeveK4YwBcfTuFU3fPrEMGBBHVIBjgerj8QjW789veL+A/DI7B3PLAj6moiho1aomB5Hr92X4nVnnEYLv9vmfnShJHZmiKCiKqgW3pv8ws9lsDBs2jGeeeabe/UuXLuXxxx/nmWeeYcuWLSQkJHD++edTVnbqO3/HHXewevVq3nrrLTZs2EB5eTkXXXQRbnfg6UrkmCVJ6uRGpUQxMjmSQ/k2SquqM3j3jDG1SsZsRVFIijaRFG0K+D46nQadrnVOPcUVDkor/Q9QVylwOK+c/gmtN9OwPoG8mnKNOSmkBWHM0oUXXsiFF15Y7z4hBMuWLePee+/lsssuA2DlypXEx8fzxhtvcNNNN1FaWsry5ct57bXXmDp1KgCrVq0iOTmZdevWMX369IDqIVuWJKkLUBSFvt0sjEqJolesuctdtAPLpNQykwen+p35p1IUJg9ObYeaSFLHZrVafW52e+PjCuuTnp5OTk4O06ZN827T6/VMmDCBjRs3ArBt2zacTqdPmaSkJAYPHuwtEwgZLEmSFLKiTDrCDP5bqTwCerZgTFSgbp8xqsFuOEUBvVbNDROHtHk9JKnN1CSlbMkNSE5OJiIiwntbsmRJs6qTk5MDQHx8vM/2+Ph4776cnBx0Oh1RUVENlgmE7IaTJClkqVQK5/aN43+7s+vdryjVAdWANu6CAzhnQA+emDOFO1d+hUaleAMntap6DNT7f/4N8ZFtH7RJUptppW64jIwMwsNPfSf1en1D9wjssKe1lAshGm09D6RMbTJYkiQppE3o343M4gp+zixFUfDmSVIAk07N787p5TdtQWv60wVncu4ZPXhh7Q42/JqJTq1mxpm9mTdlGCmxbR+wSVKbaqVgKTw83CdYaq6EhASguvUoMTHRuz0vL8/b2pSQkIDD4aC4uNindSkvL4+zzz474MeSwZIkSSFNrVK4blwae06UsvFQAXlldgxaNSNSIhnbKxZLI910rW1Yajee/31gg0YlSWq+nj17kpCQwNq1axkxYgQADoeD9evX8+ijjwIwcuRItFota9eu5corrwQgOzubX375haVLlwb8WDJYkqRW4BGCnKIK8kuqAIiLMJAQY2ryArVS86gUhSE9IhnSIzLYVZGkzisIC+mWl5dz6NAh79/p6ens3LmT6OhoUlJSuOOOO1i8eDF9+/alb9++LF68GJPJxOzZswGIiIjgxhtv5M9//jMxMTFER0fzl7/8hSFDhnhnxwVCBkuS1EJWm4Pvd2dTXunyngt+PQ5mg4bzhiYS3ozlRCRJkjqcIKQO2Lp1K5MmTfL+fddddwEwZ84cVqxYwYIFC6isrOTmm2+muLiYMWPGsGbNGsLCTi0O/sQTT6DRaLjyyiuprKxkypQprFixArW68aWQvFUXIoDUtlK7sVqtREREUFpa2ip9ulLbsjvdfLE5A7vLXWcRVoXqDNUXjklGrw38SylJkhSo9rhm1DyG+vJ/omhbsIajswr3+/eF5PVNtixJUgukZ1upctafBVZQHUwdybJyRmpUvWUkqbi8kte//4W9GfmY9VpmndWf8QOSu1wuLCkEdOGFdGWwJEktcCy38YVRj+WWy2BJqteb3//CH57/FLvLhUalQgDLPt3MOWck8/5fryQ6rPlLwUhSqwvCmKWOInTDPEnqAJwuT6NlXO7Gy0hdzze705nz9IdUOV0IAU63x/tZ2bQ/k8v/9Q5ylIQkdQwyWJKkFogw6/yuCaYoyAHeUr0Wf7ChwdmSbo9gw74MNu5v2sroktSmWimDdyiSwZIktUDv7uF+1x0TAvokhdZARqntlVXa+faXY7gbWB4FQKNWsfrHX9uxVpLUGKUVbqFJjlmSujyX20N2vo38kko8QhBp0dOjmwWDvvGvR2K0idR4S4Njl1LiLSTGmFq7ylKIq7A7Gy2jADa7o+0rI0lSo2SwJHVpVpuDbXtzcdQae1RYUsWRzFIG94khKc7i9/6KojDmjG5EhenZn1FCpb16ZpxRp6Z/ciR9kyPkrCapjpgwE1FmA8W2qgbLuDweBibHtWOtJKkxLe1KC91zoQyWpC7L5fbUCZRqCGD3oUJMBi2RYf4XeVQUpTow6hFBZZULAKNBI7N3Sw3SqFXcNG0k//poY4NdcXqNhuvOG9LONZMkPxSlhakDQvecKMcsSV1Wdr6t3kCphgIcy7YGfDyVomA2ajEbtTJQkhp196XjGZLSDfVpi/yqVQqKAv/540yiLDJ1gNSByAHektT15JdU+t0vgPxi/2UkqbksRh1f//N6/jrrbKLMp7IinzswhS//cS2zz5WtSpLUUchuOKnL8viZieQtI/PcSG0ozKjnwdmTuP+qCRRYKzDptYSb/Hf7SlLwtHRGW+i2LMlgSeqyIix6CksbHmALEGGWFy6p7WnUKhKi/E8mkKSgkxm8Janr6RFvafR3TkpiWCMlJEmSpM5OBktSl2XUaxjcJwaov3G4RzcLCTJHkiRJUrUuPMBbdsNJXVpSnAWTQcvRLCv5JZUIIQg360hNDCchxiRzJEkhrczu4sPdWWw5VoJAcFZqFL8ZkkRYAAlXJakuOWZJkrqsyDA9w/vL5H9S57I1o5gb39xBmd1FTXaC/+3N5bGvD/Hfq0cwOiUquBWUpBAiu+EkSZI6mRxrFXPf2I7NUZ0k1SOqbwKwOVzc8MZ2sq3+JzdIUh1duBtOBkuSJEmdzBvbMqlyuqkvO4ZHQJXLzRvbMtq/YlJok8GSJEmS1Fms2Z9Xb6BUwyNgza957VchSQpxcsySJElSJ2N3uRstU+VnqZ+uRgjBxr1Hefe7HZTYquidGMPcaWeRHCfHdfmSA7wlqcMTQuBxeXC7BYoCaq0alSp0v3yS1FaGJEWQWVrV4CK9apXC0KTwdq5Vx1RWUcUVD61g3Y4DaNQqqpP2Cx58fQ2LfzeTv/x2crCr2HHIpJTBt2TJEhRF4Y477vBuW7RoEQMGDMBsNhMVFcXUqVPZvHmzd39RURG33nor/fv3x2QykZKSwm233UZpaWm9j2G32xk+fDiKorBz507v9sLCQi644AKSkpLQ6/UkJyfzpz/9Cav11CKqVVVVzJ07lyFDhqDRaPjNb35T72OsX7+ekSNHYjAY6NWrFy+88EKLXhepmtvlwVZaRYXVjt3moKrcga24kqpyO0IuSSJJPv5vVHKDgRKA2yP4v9Ep7VijjmvOY2/wza6DALjcHtweD26PwCMEf1v+KW98vS3INexAFFXLbyGqQ9R8y5YtvPjiiwwdOtRne79+/XjmmWfYvXs3GzZsIC0tjWnTppGfnw9AVlYWWVlZPPbYY+zevZsVK1bwxRdfcOONN9b7OAsWLCApKanOdpVKxaxZs/j44485cOAAK1asYN26dcyfP99bxu12YzQaue2225g6dWq9x09PT2fGjBmce+657Nixg3vuuYfbbruN999/v7kvjQR43B4qSqsQ7ronf6fdTVW5Iwi1kqSOa3RKFH86pxcAtRtfa/77lnN6cpZMHcC+47l8vOmXBgNLRYGH3lgjf5BJwe+GKy8v59prr+Wll17ioYce8tk3e/Zsn78ff/xxli9fzs8//8yUKVMYPHiwTyDSu3dvHn74Ya677jpcLhcazamn9/nnn7NmzRref/99Pv/8c5/jRkVF8cc//tH7d2pqKjfffDP/+te/vNvMZjPPP/88AD/88AMlJSV1nssLL7xASkoKy5YtA+CMM85g69atPPbYY1x++eVNe2EkL3uF0+9+l8ON2+VBrekQsb8kdQh3TerDoMQw/rvpGNszSwAY3j2C349N44Iz4oNbuQ7i4x9/Qa1SGgyWhIADJ/I5lFVA3+4yF5scsxREt9xyCzNnzmTq1Kl1gqXaHA4HL774IhEREQwbNqzBcqWlpYSHh/sESrm5ucybN48PP/wQk6nx5SuysrL44IMPmDBhQpOey6ZNm5g2bZrPtunTp7N8+XKcTidarbbOfex2O3a73ft37a4/qXqcksvR+GBVl92FWqNrhxpJUuiYPiCe6QPivcGAWo7x81Fpd57M0u+/5ajS4f8HW1ehKErLVjWQY5aa56233mL79u0sWbKkwTKffvopFosFg8HAE088wdq1a4mNja23bGFhIQ8++CA33XSTd5sQgrlz5zJ//nxGjRrltz7XXHMNJpOJ7t27Ex4ezn//+98mPZ+cnBzi431/scXHx+NyuSgoKKj3PkuWLCEiIsJ7S05ObtJjdnaBtn57ZDO5JDVIrVJkoFSPIWmJuNz+ZwXqtRp6xke3U42kjipowVJGRga33347q1atwmAwNFhu0qRJ7Ny5k40bN3LBBRdw5ZVXkpdXNz+I1Wpl5syZDBw4kPvvv9+7/emnn8ZqtbJw4cJG6/TEE0+wfft2PvzwQw4fPsxdd93V5Od1etRd09fdUDS+cOFCSktLvbeMDJkorrZAf4jIWXGSJDXVxWMHERdhQdXAiUatUnH91FGEmRq+RnUpMill+9u2bRt5eXmMHDkSjUaDRqNh/fr1PPXUU2g0Gtzu6q4Xs9lMnz59GDt2LMuXL0ej0bB8+XKfY5WVlXHBBRdgsVhYvXq1T3fX119/zY8//oher0ej0dCnTx8ARo0axZw5c3yOk5CQwIABA5g1axb/+c9/eP7558nOzg74OSUkJJCTk+OzLS8vD41GQ0xMTL330ev1hIeH+9ykUxRFQRvAop+BlJEkSapNp9Xw+t/+D41ahVrlezlUqxT6JMXy8A0zg1S7DqgLB0tBu8JMmTKF3bt3+2y74YYbGDBgAHfffTdqtbre+wkh6ozxmT59Onq9no8//rhOK9VTTz3lMxYqKyuL6dOn8/bbbzNmzJgG61fTIlT7sRozbtw4PvnkE59ta9asYdSoUfWOV5ICozNqcDlcDXbJ6QwaVGo5uFuSpKabPLwvG5fdwaNvr+ODH37G7RFEWYzMmzGOBVdMIdJiDHYVpQ4gaMFSWFgYgwcP9tlmNpuJiYlh8ODB2Gw2Hn74YS655BISExMpLCzkueeeIzMzkyuuuAKoblGaNm0aFRUVrFq1CqvV6h0gHRcXh1qtJiXFN5eIxWIBqmfO9ejRA4D//e9/5ObmMnr0aCwWC3v37mXBggWMHz+etLQ073337t2Lw+GgqKiIsrIyb66m4cOHAzB//nyeeeYZ7rrrLubNm8emTZtYvnw5b775Zmu/fF2KSq3CFGGgyubA7aw1vkABvVGL1iBblSRJar7hvbvz5j1zcDhdVDqchBn1qFTyB1hdcjZch6NWq/n1119ZuXIlBQUFxMTEMHr0aL7//nsGDRoEVHfl1SSprOleq5Genu4T6PhjNBp56aWXuPPOO7Hb7SQnJ3PZZZfxt7/9zafcjBkzOHbsmPfvESNGAKdaoXr27Mn//vc/7rzzTp599lmSkpJ46qmnZNqAVqBSqzCFG/C4PXjcAhRQa1Qtm5khSZJUi06rQaftsJfF4OvCGbwVIbNtdShWq5WIiAhvCgRJ6oyqu9Oru1a1WjUamSNLkpqlPa4ZNY+h+d2LKLrmd0sKRyWul/8Qktc3GUJLktRuhBCUWe2UllTiqZUI0GjSEh1jQqOpf6yiJEkdgEILW5ZarSbtTv6ckySp3ZSWVFJcVOETKAFUVjjJybLicvnPeSNJUjAprXALTTJYkiSpXbicbkpLqhrc73YLrCWV7VgjSZKapAunDpDBkhRUQgiqKp1YS6sos1bJloVOrDyABY/Ly+1y0dIgE0JQUumk0OaQ74UknSTHLElB47C7yM8r9w2QCiswm3VEx5plVu5OxuVqfI0/IcDjEajV8r1vb0IIPv4lh/9sTOfXvHIAukcYuGFMKnNGp8jlUqQuPRtOBktSUDidbnKyrfUmmrTZHHg8grh4i0wN0ImoA0wcKoPk4Hj820M8uyHdZ1TJidIqHl6zn20ZJTx9+dAGlwWRugoVLeuQCt3OLBksSUFhLa3yu0huZaUTh92F3iAzn3cWZosOa2nDY5YATGZdwAGy2+2hpLQKh8ONRqMiKtLYYAqCMpuDozlWCk+OmeoWZSQ1MRyzUX6+AH7JtvLshnQATv9aCuDzfbl8tieHiwcntnvdJKkjkMGS1O6EENjKG19GprzcIYOldiKEwOMR1fNVVEqTW/SEEFRUOKmqdAKg12swmXU+rUQ6XfW2Clv9Y5cUBSIiA8vhkl9gIzPL6jOrLuNEKQnxYSSe1iKZkVvGroMFKJwKBGyVTtKzrZzZvxuJseYmPdfO6I1tGahVCm5P/b9gVAq8tjVDBktdneyGk6T2IwR+W5VqnD69XKrL6faw7Vgxx4psaFQqhvaIoE9c4N2XQgjKy+xYS08Nrtdq1YRHGjAH2MrjdLjJzSnD7T419qy8zE5xUQVx8RYMtQLe2DgzRSqF8jLfYFmjURHbzYJO13iepcKiCo5nltbzXCA7pwxFgcT4MABKy+3sOlhQvb922ZP/t31/HpMsPTB18aB8X25Zg4ESgEfAgZPjmKRT3G4PFVV2zF1leRQZLElS+1GU6nEpjQVDMquzf7/mWHnhu8NUONyoVQpCCL7cm0NqtIk/TepLRCNdTEIICvNt2E5r6XE63RTm23A63ERFm/wew+PxkJNjrV6Cps4+QV5OGUndI9Boq4MgRVGIiTUTGWWkssKJEAKtVo3eoAkoMBNCcCLb6rdMTk453WLNqNUq0rOsPi1KdQ8IR7PLGNgzutHH7swseo3/1wkwBhDIdhUHjmfz6Ksf8eaaH7A7XUSYjdx4yWQW/N8lxEWFVmZqKTDyaiS1O0VRsITpGy1nsTRepqvKKqnkqa8PUumonmHm9ghqYs+M4gqe+Gq/35YCqE4EeXqgVJu1tAp7lcvvMcrLHPUGSjWEgLKyul2uarUKS5iesHADBqM24JYwW4UTp9N/egmPEJRaqx+zoKTSbwAgTpbp6i44I97v66RWFGYOTGi3+nRk2349wui597Dqi++xO6u/H6W2Sp58+3POuuFesvKLglzDtiSTUkpSuwqPMKD203IUFm5AK3/JNmjN3hw8QtR7gfMIyCqp4ufMEr/HKLP6H2wdSJmGxh/V5i8ga6raXX2tUQ4C6xLu7H4zJJGEMD3qeoJWlQI6jcKc0clBqFnHIoTg2vueptLuwHXaZ8zt8ZBVUMQdT6wMUu3aQ0sTUjY9WCorK+OOO+4gNTUVo9HI2WefzZYtW7z7hRAsWrSIpKQkjEYjEydOZM+ePa34nKvJYEkKCrVaRWJiOCaTb1eRSqUQFW0kKrr5izV2BVuPFeOv4UilwLbjxX6P4XA0nveosTKeACIN0Ypjz/S6wEYO6E8G2jERBr+nZwWIizS0vGIhzqzT8Pr/jaL7yddCo1LQnBycH27QsvLakSRH+e+S7QrW79jHwYwc3J76g3GX28OH67eSU1jSvhVrL0HI4P373/+etWvX8tprr7F7926mTZvG1KlTOXHiBABLly7l8ccf55lnnmHLli0kJCRw/vnnU1ZW1qpPXY5ZkoJGrVERFx+G2+3B6XCjKKDTBzZ2pSsTQuBopOXEI6DK6T/QUVQKfiMuGs95pNOpcTYSULVmC6HBoMFs0mKrcDb8eFoVYSe7eXsmRXAi3+b3mKmJvmNMPB7B8bxyDmdZsVU50WvV9EwIo2diONpOPI6uZ4yZr24+h28O5rMhvRCXRzCyRyQzBsajlwscA7D70HFUiuL3R4Lb42Hf0RMkxES2X8U6qcrKSt5//30++ugjzjvvPAAWLVrEhx9+yPPPP8+DDz7IsmXLuPfee7nssssAWLlyJfHx8bzxxhvcdNNNrVYXGSxJQadWq1AbO+9FqLUpikK3MD159YwFqqFSICHCf4uJ2RxY3iN/wsIN2BpZxiQ8vHVbblJ6RPLrwYIGl+JITY70BtyRYXoG947hl8OFPgOYa0LA4f3jfHItudwevtuVTX6t16XS7mbHoUIOZJYyeUR3TIbOe9pUqxSm9u/G1P7dgl2VDsmg1wbUmmrU+//ehK6Wjjuqvq/V6jtJQ6/Xo9fXHaPqcrlwu90YDL7nEKPRyIYNG0hPTycnJ4dp06b5HGvChAls3LixVYMleYWSpBA0sV83v6csj4Bz+8T5PUZYuN5vq7hKpWCx+D/p6/Uawv0EZSazDqOpdaflm0xaBvSL9bYe1TCbtPTrE0PEacFZWmI45w5Pons3C0a9BpNeQ0pCGOed2Z3ucRafsj8fLvIJlGqrsLvYtDe3VZ+LFFpmjBvRaGtrt6hwRg3o1U41amet1A2XnJxMRESE97ZkyZJ6Hy4sLIxx48bx4IMPkpWVhdvtZtWqVWzevJns7GxycnIAiI+P97lffHy8d19r6bw/kSQpBLk9gh3Hi9l0uID8MjsGrZozU6M4u3cs4bVaQCb0i2N7RjGH88p9BnnXtJ5cOrw78Y206Gg0auITwsnLLauTxkGtVtEtIQxVAEuUREYZ0enUlJZWebvkNBoV4REGLGH6NulWNRm19Osdg8PhxumszuCt1zd8Oouw6Bnez3/w6HR5OOwnLYEQUFBaRXG5nSg5U7NL6t4tmusvPI9X//ddgy1Mf7t+FhrZbelXRkYG4eGnur/ra1Wq8dprr/G73/2O7t27o1arOfPMM5k9ezbbt2/3ljn9HCOEaPXzjgyWJKmDcLk9vPJDOvtzyrxBT4XDzVf7ctl4qICbJ/UhIaJ64LtWreKOyf34fE823x7Iw2avDlKSIo1cODiRs9ICyxukN2jokRyJrcLhTRNgMGoxmQKfzq8oCmaLHrNFj8ftQVDdKtUeY890OnVAiSwDUVxuDygRakFJlQyWurBn//o7istsfPTdVjRqdXV3sFI9A/Ov113MbVddGOwqthmV0rLvtTh53/DwcJ9gyZ/evXuzfv16bDYbVquVxMRErrrqKnr27ElCQnU6i5ycHBITT2WXz8vLq9Pa1FIyWJKkDmLdvlwO5FTP4PDJNn1ysPYrG9K5e8YZ3sVMdRoVs4Z1Z+aQREornGjUKsIDTO5Ym6JSsFj0rZLXKpCWqI5KTitoun25Zbz603E2Hy9GrShM7hvHdaOSSY7qvLNZDXodHzz6Z7bsPczrX26gsLSMlPhYbrhoIn2SO3cuqpYm8G7Jl8xsNmM2mykuLubLL79k6dKl3oBp7dq1jBgxAgCHw8H69et59NFHW1DRumSwJEkdgMvt4YeDBQ0mBvQIKLQ5OJhbRv8E319kGpWKGNnS0WKRFr3f9dFqdGtCICCEwO70oCig13aurpnXtmRw72d7UdV6zQ7ml/PfH4/x36uHM6mv/27PUDd6YG9GD+wd7Gp0el9++SVCCPr378+hQ4f461//Sv/+/bnhhhtQFIU77riDxYsX07dvX/r27cvixYsxmUzMnj27VeshgyVJ6gAKyh1UNjLVX6VAeoGtTrAktQ6tRkWf7uHsz6i77hyczMkUZSSikRmCUJ1/as+xYn4+VkzZycWFY8P1DO8ZQ5/E0H//tmeUcO9nexHgE1y6BXjcHua9vZMNt51LQivPhJSCq7W64ZqitLSUhQsXkpmZSXR0NJdffjkPP/wwWm31GM4FCxZQWVnJzTffTHFxMWPGjGHNmjWEhYU1u571kcGSJHUAjUywqVVOdha1pSG9Yii1OcgpqqyzVprFpGXcwMan1AshWLcriyM5vknxCq121u3KosTmYFSf2NateDv774/HfFqUahNUL/D8xrZM7prUp/0rJ7UZVQu74UQz7nvllVdy5ZVXNrhfURQWLVrEokWLml+xAITuAANJ6kRiLXrCG8nf4xHQt5vFbxmpZdQqhXOHJjJ+cDzx0UbCjFpiIwyM7h/HtFE9MASQQfxQdlmdQAlOBV5bDxVQEMBSMx3ZhiOFfrsrPQK+P1LYjjWSpLYlW5YkqZ1YKxxU2d0Y9WrCTL5dOSqVwsT+3fh4V1a991UpkBhhJC3W3B5V7dJUikKPOAs94poXmP5yvKhOq1RtigJ7M0o4b1DoDgYOZAEbueZe56O0sBuuZaPDg0sGS5LUxvKKK9l5uIDislOZrqPC9IzoE0Nc5KnBwuf0iyPHWsVP6UXUrERSc9GNMum44ZyecimYEFBU5vAbTAgBhX6yr4eCsalRrN2fj7uBiEilwLiegaWvkEJHMLrhOgoZLElSG8otqmD9z9l1fmUXl9n5ZmcWE4cleWdXqRSFK0YlMzItmh8PF5BntWPUqRmREsWIlCh0nXhdss5Eo1ZoZKw+WnUIXzWA349L44tf8+rdpwBqReG6kT3at1JSm5MtS5LUDHlldj75JYtvD+Zjc7iJM+uZfkY8Fw5KwNjJpkk3hxCCrQfyG+yOEAK27s/nwjHJ3hOQoij0jrPQu5ldQFLw9U4IY09Gid9uqF4hPqNxTGoU/5jWnwfX7PdJt6BWKSjAs78dRvfIzptrSep6ZLAkNUt6oY1/fLqHSqfbu3B9XrmdVVuO893hAh6+eBDmAAbDdmYFpVWUV7r8limrdFJktRPTyKK3UugYkhrNvsxSPELU6Y5TFDDpNPTtBOkD/nB2GqNTInll83E2HytGo1aY1CeWuWel0EcG+52S7IaTpCYQQvCvdQd8AiXvPiCjuIKVm49x87ldO2Gbrcp/oOQtZ3cR08Z1kdpPhFnHzFHJfLE9E4fL4724CAEWg5aZo5LRdpIu1RE9IhnRIzLY1ZDaSxDyLHUUMliSmmx3lpVsP1OfPQK+PZjPnDGpXbp1KdCMzfpOcuGUTkmKNvF/k/pwONtKbkkliqKQHGsmNc7S6Kr1kiR1PF33SiY12+GCcu9srYY43YLM4kr6x7duFtVQ0i3KiE6jwuHyNFhGr1X7zIiTOg+tWsWAHpEMkC0vnZYQgpzSCtweQWKkCbWqc//wUSmBJ9CtVwj/TpDBktRkGpUqoBwqmhCf8dOYMpuDgqIKXG4PRoOW+BgT2lqtSWqVwtDeMWzdn9/gMYb2jpYtDZIUYoQQvLrhV/712Tb2Z5cAkBBh4tZpw7jzguFoNZ1zgktLZ8OFcuoTGSxJTTYiOZKXf/RfJsKgJS26cyZQdLs97DtcSFFplfeHkgDSM0vokxJFYq0s272TwvF4BD8fKcTlFt68SRq1wrDeMfTqBAN9Jak+J4ptrN+fjdsjGNOrG/0SIoJdpVZzzzubeOx/230aSnJKK/j7e5vYdDCb926f0elbmboaGSxJTdYj0sjI5Eh2ZJY02BV36bAk1J20xeTXI0UUlVaP2ar99IWAg8eK0WrVxNZamb5vjwh6JoZxosDmzeCdFGtGo5YnU6nzKatycPOrP/DOliN4ajVBTzkjiZdvnEBSZGj/iNqanstj/9sO1M1kLgR8uvMob246wHXjB7R/5dpYV+6Gk2drqVnunNSXfnHV45Fqvjw1vW4XDoznkiGJQapZ27JVOiksqfRb5lhW3VXrNWoVqfFh9E+JJCU+TAZKXZjb4+FItpUNe3L4/pcc9meW4PQzri2UuNweLl72Je9u9Q2UANbvz2biI59SUhHa2ctf+noPGj8Rg0pReP6r3e1Yo/ajKKe64pp3C/YzaD7ZsiQ1i1mv4aGLB7Ezs4TvDhdQVuUiPlzP+f3j6dWJ1y8rKK5otIytwkmV3YVBL79ekq/icjtrtmdSYXd7LxyHsq1sOVjA1GFJJESbglvBFvpk5zF+OJRb7z6XR3CssIz/rv+Vv1w4rJ1r1nr2nCjE5XcRYcGvWcXtWCOpPcizudRsapXCyJQoRqZEBbsq7cbjFihK44uEevxNFZS6JLvTzRdbM7GfXAul9mfI6fKwZscJLh2XWmeR5VDy2saDqBWlwTXjPAJe3rA/pIOlcKOu0XOAuZP+UJLdcJIkBcRk1DYaKKkUBb2uc86GkZrvUJaVKqe7wUV2PUKwN6OkPavU6rJLKxoMlGrk+cnRFgouH93H7zlArVK4amy/9qtQO2pZF1wL15ULMhksSVIAhBA4nW4iw/WoG0mJEB9rQi3HJEmnOZZX7ne/EHA013+Zji452uJ3YocCJEWGdlfjNeP6kRoTVu+4JbWiYNRquGXq0CDUrO2pONW61KxbsJ9AC4Ry3SWpzXk8gqycMn7ek8vPe3L5ZW8e4QYtDcVLBr2GtO6dZ4q01Hpc7sYHcbs9oT3Qe+45/byL6jbk9xNCe5aYSa9l7cJL6ZMQCVQnH9We/HEUE2bg8wWzSIuTKUE6m87ZsSpJrcDjERw8XEi5zeGz3eFwY9CoUWtVWCucQHXTe0KcmZSk8E6bkE5qmZhwPUXl9ga7cBQg2qJv1zq1tgsGJzNtcA/W7cmsk1ZErVLonxDB787pH5zKtaKeceHseng26/YcZ90vGbg8gjG947l0VG90nfj7r1IUVC3pSgvhbjgZLElSA/ILbHUCpdrcTg+jBsejVqvRalQyE7fk14AekRw4YW1wvwASo03sTi9CoXq5nLgIQ0iN81CpFN6/ZSp3v/MTy7//FfvJlAhqlcJlI9N4+trxWAzaINeydahUCtOGpDJtSGqwq9JuqlMHtOz+oUoGS5LUgPwCW6Nlikuq6C6zcEsBiAk3MKJXDDuOFHozudem16jYfaTQG3SLIxBl0XPe0EQsxtAJMAxaDU9eezaLfjOSHw/n4fJ4GJkWG/LJKKWuTQZLklQPIQR2h7vRclVVrnaojdRZDO8dQ6RFx+6jxRScnBUWbtLidLhxezwoiuLTTVdis7N2eyYXjUkJue7dKLOeC4cmB7saUiuS3XCSJNURSD4l2fUmNVVafBhp8WG43J7qJXJOlLLjUAH1JaERAiqqXBzJLqN/cmS711WSapPdcJIk+VAUhcgIA8Ul/nPCREUY2qlGUmdTs+RNek7D45hqpOdYZbAU4nZklPDc90f4/nABapXCBWfEM//cXvSNszR+ZynoZLAkSScJIaiqcmG1VuFxC4x6DaUKDS4WbDBoiJDBktRCDmfj6QICKSN1XM9+d5g7P9iNRqV4l0o5UpjOCz+k8+bcs0JmLU2lhd1wIoSblmSeJUmiOk1AZmYpx44WU1xUSWlpFaUlVRh1GnSa6q9J7a+50ailX++YkJqpJHVM4Sat31UgFCDMFDoDvCVfP6YXcecH1Qvr1l5Tzu0RuNyCa1b8REYAa052BDXdcC25hSoZLEkSkJ1lxVZef5oArVpFfKyJ2FgT3eLM9O0dwxn9YtFqQ2vArdQx9e0e0eASKFA9a66vTHQasp7+7nC92b6h+r31eOCljUfbtU5S08luOKnLczhclJXZ/ZaxV7noJVuSpDbQo5uF7rFmTjSQqiI5rnq/FJq+OZDv06J0OrcQfHMwvx1r1HwtnQ0nu+EkKYSVlzWceLKG0+nBEUAqAUlqKpWicN6QRIb0jPZ2+QLotSqG9orhnMEJMkgPYYG8daHy7nblbjjZsiR1eZ7G8gOcJBpZ80qSmkulUhjaK4ZBadFYbQ5QINyk87sorRQaJvaNY/WurAZbl9SKwqR+ce1cq+aRLUuS1IXp9QH8ZlBAq5NjlKS2pVYpRIXpibLoZaDUSdx6Xu8GAyWF6vf89+PS2rVOUtPJYEnq8iwWHWq1/69CeLi+0TKSJEmnG9szmicvH4oCPgO91SoFjVrhzRtGkxxlCl4Fm0B2w0lSF6YoCkndw8nMKKk3Y7dWq6Jbt7D2r5gkdULHiyrYeKSQsion0WYd5/SOJT68c+cr++O5vRjXM5oXNqTz3aFTSSlvOqcnfUIoKaXshusAlixZgqIo3HHHHd5tixYtYsCAAZjNZqKiopg6dSqbN2/27i8qKuLWW2+lf//+mEwmUlJSuO222ygtLa33Mex2O8OHD0dRFHbu3OndXlhYyAUXXEBSUhJ6vZ7k5GT+9Kc/YbX6ZtbdvXs3EyZMwGg00r17d/75z38iTru6rl+/npEjR2IwGOjVqxcvvPBCy18cqc2ZzTpS06IIC9N7t6lUCtHRJtLSotFoOsxXReqiPB6B2+3xOedUOFwcLbCRWVyBu4OPqXN5PPzn+yP845M9fLk3h41HCvl0dzYLVu/mra0Zdc6lnc3wHpG8cPUI9v79fHbfM5V/XTokpAKlrq5DtCxt2bKFF198kaFDh/ps79evH8888wy9evWisrKSJ554gmnTpnHo0CHi4uLIysoiKyuLxx57jIEDB3Ls2DHmz59PVlYW7733Xp3HWbBgAUlJSezatctnu0qlYtasWTz00EPExcVx6NAhbrnlFoqKinjjjTcAsFqtnH/++UyaNIktW7Zw4MAB5s6di9ls5s9//jMA6enpzJgxg3nz5rFq1Sp++OEHbr75ZuLi4rj88svb6NWTWovBoKV7jwg8HoEQApVKkbOQpKArK7OTX1BORYUTAJ1WTViEge+OFbH9WAnuk0FGmEHD5AHxnNM3tkN+bt/cksGmI4VA3az4n+/JIdygYcbg0Mhk3VV15bXhFBHkcL68vJwzzzyT5557joceeojhw4ezbNmyestarVYiIiJYt24dU6ZMqbfMu+++y3XXXYfNZkOjORULfv7559x11128//77DBo0iB07djB8+PAG6/XUU0/xr3/9i4yMDACef/55Fi5cSG5uLnp9devDI488wtNPP01mZiaKonD33Xfz8ccfs2/fPu9x5s+fz65du9i0aVNAr0fNcywtLSU8PDyg+0iS1DkVFtrIzimrs10IQUaZnW8ySuoktJzQL46Lh3dvnwoGqKzKye3v7PIGdvUx69Q8eeVwtHJsYJO0xzWj5jGGPfwpakPzc365q2zsuveikLy+Bf1TecsttzBz5kymTp3qt5zD4eDFF1+sfsOGDWuwXM2bUDtQys3NZd68ebz22muYTI0PpMvKyuKDDz5gwoQJ3m2bNm1iwoQJ3kAJYPr06WRlZXH06FFvmWnTpvkca/r06WzduhWn01nvY9ntdqxWq89NkiTJ4XDVGyhB9Ti75DA9fSKNdfatP5BPTmllW1evSX4+Ueo3UAKwOdwcyi9vpxpJUtMENVh666232L59O0uWLGmwzKefforFYsFgMPDEE0+wdu1aYmNj6y1bWFjIgw8+yE033eTdJoRg7ty5zJ8/n1GjRvmtzzXXXIPJZKJ79+6Eh4fz3//+17svJyeH+Ph4n/I1f+fk5Pgt43K5KCgoqPcxlyxZQkREhPeWnJzst46SJHUNRcWNBzxnxNT98adS4Kf0oraoUrM53IEtBOxwyQWDOzKV0vJbqApasJSRkcHtt9/OqlWrMBgangkxadIkdu7cycaNG7ngggu48sorycvLq1POarUyc+ZMBg4cyP333+/d/vTTT2O1Wlm4cGGjdXriiSfYvn07H374IYcPH+auu+7y2X/6OICaHsza2wMpU9vChQspLS313mq6/SRJ6tqqqupvja6hKAqR9eQI8wgosjWelb49JUcGNjW+ez0tZVLHoShKi2+hKmjB0rZt28jLy2PkyJFoNBo0Gg3r16/nqaeeQqPR4HZXLy1hNpvp06cPY8eOZfny5Wg0GpYvX+5zrLKyMi644AIsFgurV69Gqz21QvfXX3/Njz/+iF6vR6PR0KdPHwBGjRrFnDlzfI6TkJDAgAEDmDVrFv/5z394/vnnyc7O9u6raUGqURO01bQmNVRGo9EQExNT7+ug1+sJDw/3uUnNI4SgssJBWWkV5WV23PJXqhTCVAH8DK+va0ulgKmDJVDtHWcmKcLQYMuCSoGh3SOItejrLyBJQRa02XBTpkxh9+7dPttuuOEGBgwYwN13341aXf+XXQiB3X5q0VOr1cr06dPR6/V8/PHHdVqpnnrqKR566CHv31lZWUyfPp23336bMWPGNFi/mhahmscaN24c99xzDw6HA51OB8CaNWtISkoiLS3NW+aTTz7xOc6aNWsYNWqUTwAXKqqcbjwegVGn7vC/CKoqnRQXVuCpNc2mtLgSk1lHZLSxw9dfkk4XFmbAam14gWePEByrZ79HwIiUqLasWpMpisL883qz+PN9ONwen9lwKgXCDFrmjE0NXgWlgCgt7ErzhPBpOGjBUlhYGIMHD/bZZjabiYmJYfDgwdhsNh5++GEuueQSEhMTKSws5LnnniMzM5MrrrgCqG5RmjZtGhUVFaxatcpngHRcXBxqtZqUlBSfx7BYqvNa9O7dmx49egDwv//9j9zcXEaPHo3FYmHv3r0sWLCA8ePHewOh2bNn88ADDzB37lzuueceDh48yOLFi7nvvvu8F+L58+fzzDPPcNdddzFv3jw2bdrE8uXLefPNN9vsdWwLe06U8sOBPLJLqgCIMGoZ2yeWs3rFBPRrt73Zq1wU5te/YnuFzQEIomLkqu1SaIkIN5CXV47TWXcB55ofc3sLfT/3igK9Yi306dbx8vekRpt44KJBfLI7ix/Ti3B5BDq1ivP6xnLRkESiTLpgV1FqREuTUrbkvsHWIfIs1UetVvPrr7+ycuVKCgoKiImJYfTo0Xz//fcMGjQIqO7Kq0lSWdO9ViM9Pd0b6DTGaDTy0ksvceedd2K320lOTuayyy7jb3/7m7dMREQEa9eu5ZZbbmHUqFFERUVx1113+Yxr6tmzJ//73/+48847efbZZ0lKSuKpp54KqRxL63/N5dt9eT6rYJdWOvlydzbHC2389qyUDveBt5ZW+d1fYXMSFu5Go+1YXROS5I9KpZCWFsWxo8U4TguYFJXClpwyiqpc1blrBAhgcFIEV52V0mFbUhMiDMw7pxc3nJ1GldODUauWa+CFEBUta1kK+vT7Fggoz1JzprPLsTfNE8w8S7mlVbzw9UG/ZS4d2YOhHaiJ3+32kHOi8c9neISBsIjOvaSC1DkJISgrs1NWZkcIgdGoJTLSiKJSOJRXzoniSjQqhTMSw4kNk2N+upr2zLM05tH/oTE2v5XeVWlj890zOm+epcjISKKiogK+RUdHc+TIkbauu9TKth0t9PurQQF+OpmBt6MQAS7x4OngS0FIUkMURSE83ED37hH06BFJTIwZtVqFSlHoFx/GpAHdOLdfnAyUpDZX0w3XkltTuFwu/v73v9OzZ0+MRiO9evXin//8Jx7Pqck7QggWLVpEUlISRqORiRMnsmfPntZ+6oF3w7333ntER0c3Wk4IwYwZM1pUKSk4ckur6ixDUJsA8ssaHnAaDKoAs/2q5dpukiQFUZXTxcofDvHSd/s5VlhOtFnPdeP6MH/iAOLCQqPVW0XLutKaet9HH32UF154gZUrVzJo0CC2bt3KDTfcQEREBLfffjsAS5cu5fHHH2fFihX069ePhx56iPPPP5/9+/cTFtZ6C6AHFCylpqZy3nnnNTj9/XS9evUKydlfXZ0ugIBC08HGF6hUCkaTlsoK/zlpTGb5eZQkKTjKqpxc8MSXbE2vTk4sqB4L+vCnu3hp/X6+WXAhvbuFVrdUe9i0aROzZs1i5syZAKSlpfHmm2+ydetWoLpxZtmyZdx7771cdtllAKxcuZL4+HjeeOMNnwTVLRVQoJeenh5woATwyy+/yEzUIeiMpAi/+1UKDOrhv0wwREQa/c7Si4wyolLJliVJkoLjnve3sv1YIQJ81vLzCEF+eRXXvPgtQV6mNSCtlZTy9CW+aqcDqu2cc87hq6++4sCBAwDs2rWLDRs2eHuv0tPTycnJ8VlmTK/XM2HCBDZu3Niqz73DzoaT2t/gHpGs/zWPsionp39vFar7q8f0rn+pmWBSa1TEJYRRWlxJVeWpFiaNRkV4pAGjnJIsdSEZxZWs2prBxqNFKMA5vWK4blQPkiJkduxgKK1wsOKHg7gbGOPg9gh2Hi9iS3oBZ/WKa+faNU1Llyypue/pjSn3338/ixYtqlP+7rvvprS0lAEDBqBWq3G73Tz88MNcc801wKmlxupbZuzYsWPNr2g9mhUs/fTTT3z77bfk5eX5DLQCePzxx1ulYlL702lUzDmnJ6s2HqXY5vB+sD0C9FoVV41JJaaDZtjVaFTExJlxuz24XR4UlYJGo+qwU6glqS38b28Ot7z3M0II3CevzbuySnlhYzr/uXI45/fvFtwKdkG/nCjG3shqAioFfjyS1+GDpdaSkZHhMxuu9gL1tb399tusWrWKN954g0GDBrFz507uuOMOkpKSfFbgqG+ZsdY+9zc5WFq8eDF///vf6d+/P/Hx8X7XRZNCT7RFz5/O78fBnDIO5ZbhEdAj2sjg7pFoQ2CQtFqtQh3goG9J6kwO5Zdz83s/4/GI07p6QLgFN72zk29uOYfU6MDWaZNaRyB5pASgCYGhAq3VshTo0l5//etf+dvf/sbVV18NwJAhQzh27BhLlixhzpw5JCQkANUtTImJid775eXl1WltaqkmB0tPPvkkL7/8MnPnzm3Vikgdh0pR6J8YTv9EOeBQkkLFyi0Z3uSUpxOAxwOvbc3g79P6t3fVurThKdFEGLWUVjY8CUUImHRGYoP7O4r2zuBdUVFRZ7ypWq329mj17NmThIQE1q5dy4gRIwBwOBysX7+eRx99tNn1rE+TQ1mVSsX48eNbtRKSJElSy3xzML/ehXVruIXgm4MF7VgjCcCg1XDrlIE0FCaoVQrTBiZxRmJke1YrJFx88cU8/PDDfPbZZxw9epTVq1fz+OOPc+mllwLVvVl33HEHixcvZvXq1fzyyy/MnTsXk8nE7NmzW7UuTW5ZqlnKY9myZa1aEUmSJKn5GhpA7FMmBGZcdUb3zBzGgZxS3tl6FI1KweURqBUFtxAM6R7Fyt+fF+wqBqS98yw9/fTT/OMf/+Dmm28mLy+PpKQkbrrpJu677z5vmQULFlBZWcnNN99McXExY8aMYc2aNa2aYwkCXO6kNo/Hw8yZMzlw4AADBw6sk0/pgw8+aNUKdjXBXO4kVAghyC2p5HB2GVUOFyaDhr5JEcSGh0ZiN0lqC3eu3s3q3dkNBk1qlcI1I7qz5OJB7VyzxgkhOF5gY8fRYvJKK1GrVfRNCGN4WjThxs6RI00Iwbf7c1j+/QGO5FuJsxiZPbYXl56Zik7T/HUr23O5k/OfWIO2BcudOCttrL1zWkhe35rcsnTrrbfyzTffMGnSJGJiYuSgbqldudwevv05m4wCG4pS3devKPBrRil9k8I5e2B8h1voV5Law5yzUnhvV1aD+z0ewfVnpbRjjQIjhODbvblsTy/yfqcBth4uZMfRIi4/K4UeMc2/QHcUiqIwaUAikwZ0/LFJDWmtAd6hqMnB0quvvsr777/vzagpdSxVDjeHTpSSnl2G3enGqNfQOymc3knhITGbrTE//ppHRoENOHVSrfn3YJYVs0HDiA6YC0qS2trw7hE8cMEA7v/iV9QqxdvCpFYpeDyCJRcN5Iz41u2aaA37s6xsTy8C8MnvJgC3W7B6SwY3Te3botYXSWqpJgdL0dHR9O7duy3qIrVQeaWTr7efoMrh9s6IKa90sutwIek5ViaP6I5eG7onnAq7i0NZVr9l9hwrYUhaNBqZPkDqgn43NpVh3SNY/uMxNqYXoigK5/SK4caxqQzv3vGy7wNsPVKIQsOz+BwuD3szSxme1vjapFLbau/ZcB1Jk4OlRYsWcf/99/PKK69gMsl8HR3Jj3tzfQKl2spsTrYfLGDcwNbNPdGesgor6n1utTndHvJKqkiKkZ9NqWsamRzJyOTIYFcjIG6PILe0ym8ZBThRVCGDpQ6gvQd4dyRNDpaeeuopDh8+THx8PGlpaXUGeG/fvr3VKicFrrjcTqG1/vV1oPoXWkZeOSP6xGDQheYqN54AZvsAuD3+s+VKktQxhG47g9TVNPmq+Zvf/KYNqiG1VJGfQKmGEFBS7iAhOjSDpejwwJZaiQ7rmEuySJLkS6VSSIw0klNS2WCrsQCSY0N/gHdnILvhmuD+++9vi3pILRToZzAUP6tuj6Ci0olerSImTE9Rmb3eE6uiVJ9UzYbOMdVYkrqC0b1j+HhbZr37FECvVXNGBx1v1dXI2XBSyIuPanxFcbVKISaEchF5PIL0zFIyc8twnVwVNEKtQhg0FNtdPjNnFMCs1zDujNAdkyVJram00klZlYtIkxaLvuOe6vsmhjO2byw/HizwSR2gAFqNisvOSkErJ2xIQRbQNyg6OpoDBw4QGxvYlOyUlBS+//57UlNTW1Q5KXBmg5YecWZO5NsabM7u2yMiZGaJeYRg1/58ik4b/OlyCyxaDZEmHRnWKpwuDwatmn49IhiUEoVBF7qz/SSpNRzKL+f9HSfYm109c1SlwJnJUVxxZg8SIjrmj6Xx/bvRs5uFnUeLyS2tRKNS0TcxjCEpUZg7cKDX1chuuEaUlJTw+eefExERWFNoYWEhbre7RRWTmu6sAd34zpFNQWmVdypuzb894swM6Rk6s0nyCivqBEq1uZweLhjenZhIg0yMKkkn7c228ti6A9RemMEjYHtGMXuyrdw34wySIhtvhQ6GpCgTSVFyFmtHJrvhAjBnzpy2rIfUCrQaFZNGJJFdWMHRnDKqHG7MBg09E8PpFmJBxYnc8sbL5JUTG0D3oyR1BR4h+O8P6Xg8ok7rskeA3eVm5eZjLJw+ICj1k6RQFlCw5JFTsUOGSlHoHmume4jPHqmocjZeprLxMpLUVezNtlJoczS43yPg15wy8sqq6BbWMbvjpI6tOs9SC7rhWq8q7S6U6y51YtoAljbQauXHV5Jq5Fj9J3eskRtAmhFJqo+inOqKa84thDo36pBXG6lDSgigZSyQMpLUVRgDXMrIKCdBSM1UM8C7JbdQJacZSB2CEAKbzUFRcSVOpxu1WoVRp653+RYF0OvVMliSpFqG94hEo1Jw+cl0H2XS0itGfm8kqalksNSFuN0eikuqcDhcaDRqoiINaDvAwroej+DYsWKsZb7dA2aNCoNaRXGl02ehTYtZx9B+sSGTBkGS2oNZr+HCQQl8sju7wTKXDe+OKpSnJElBJWfDSZ1efqGNzBNWPB7hDTwyTpQS381C98SwoM6Uy8qy1gmUaqgVSIs3oz65nl1UuIFwiy6kZvZJUnu5bER3nG4PX+7NBaW628TjEahVCleO7MF5feOCXUUphMk8S01gtVrr3a4oCnq9Hp1O1+JKSa2rqLiS4xml3r9rN9Ln5pWjKNA9Mbz9Kwa4XB6Kiiv8lrGVOxg0MAq1bEmSJL9UisI1o1OYPjCBn44WYa1yEmPWM7ZntEzuKEkt0ORvT2RkpN9f9T169GDu3Lncf//9qFTy4hZsQghOZNcf4NbIzSsnPs6CRtP+71e5ze6zbEl9hIDycgcRHTT7sCR1NNFmHRcMSgh2NaRORjl5a8n9Q1WTg6UVK1Zw7733MnfuXM466yyEEGzZsoWVK1fy97//nfz8fB577DH0ej333HNPW9RZaoLKSicOh/9s6kJAqbWKmOj2z54rAkzhJRqLqCRJkqQ2JccsNcHKlSv597//zZVXXunddskllzBkyBD+85//8NVXX5GSksLDDz8sg6UOoGYB2sa43cFJPGoyaQMqZzQGVk6SJEmSWluTg6VNmzbxwgsv1Nk+YsQINm3aBMA555zD8ePHW147qcX0AeZU0euCM55Br9dgsegoL28483CYRY9ejreQpE6t0uFma3oh248WYbO7sBi0nJkWzaie0Rg6wKxdqTp7d4sGeIdwR1yTB6n06NGD5cuX19m+fPlykpOTgeqFdKOiolpeO6nF9HoNYRb/g+41GhXh4fp2qlFdyT0iG8zGrdWqSE4ObAFnSZJCU1mlkxe/Ocg3e3MpqXDidAuKbQ6+3pPDS98cojyA5Y+ktteS7N0t7cILtib/XH/ssce44oor+Pzzzxk9ejSKorBlyxZ+/fVX3nvvPQC2bNnCVVdd1eqVlZonuXsEvx4swNNAsrq0FP+D9tuaTqemX984CgpsFBZV4HJ50GhUxESbiI01B2XguSRJ7eej7ZlYK511EtAKoLjCwac7TnD1uLQg1EySqjU5WLrkkkvYv38/L7zwAgcOHEAIwYUXXsiHH35IWloaAH/84x9bu55SCxiNWgb0i+VElpXSWutCmU1auieGExYWvFalGhqNioSEMBISwoJdFUmS2lFRuZ3DeeUN7hcC9ueUUVrhIMIkU9MEkwqlhQvphm7TUrMGgqSlpfHII4+0dl2kNmQ0aOnTKwan043T6UajUaEL0jglKTRZKxzY7C6MWjWRluAH2FLncKK4MqByWcWVMlgKMjkbrolKSkr46aefyMvLw+PxnUV1/fXXt0rFpLah1ao7xBInUujIL61i46+5ZNe6qMWG6Rk7oBs95DpjUgsFegHtLMu0CCHYnlnKofxyzHoNE/vEYgmRCSxKCzN4h/LKC01+hz755BOuvfZabDYbYWG+y2QoiiKDJUnqRPJKK/lo8/E6490Kyux8tiWDC87sQWo3S5BqJ3UGaXEWVAr4Wf8XtUohpRME5jtPlHLb+z+zv1a3o0Gr4pZzevGXSX06TUDYGTV55Oyf//xnfve731FWVkZJSQnFxcXeW1FRUVvUUepChBC43R7cbo9MRNkBfL83F49H1Bl4C9WDb9fvycEj3yepBcx6DUNTohoczaIAZ6ZGYQwwDUpH9WtuGb/572YO5vuOz6pyevj3N4d44Mtfg1SzwHXl2XBNDpZOnDjBbbfdhsnU/tmepc5LCIG1tIoTmaVkHi8h83gJ2SdKKS+zy6ApSIrK7eSXVtUbKNWosLs4UWBrtzpJndOMoUmkxVW3HNV0VtT82zvewrQhiUGqWetZ+tVBHG5Pgy1o//nhKBkBjt8KlpqFdFtyC1VN7oabPn06W7dupVevXm1RH6kLEkJQkF9Ohc03l4rT6aGwwIbT6SYqCEuxdHVllYHltrEGWE5qPrdH8MORQj7bm83x4krMOjUT+8QxY1AC0Z1g0LNWo+L/xvfkUG4Zu46XYK10Em7UMjw1it7dLCE91gWgrMrJ5/ty/XY1Kgp88HMWt0/o3X4VkwLW5GBp5syZ/PWvf2Xv3r0MGTIErdZ3GYpLLrmk1SondQ0VNkedQKk2a2kVJrNOZvFuZ4FmTTaEePdIR+f2CB5e8yubjhZ5x/aUVDp5c3sGH/+SzaOXDKZnJxjPoygKfRPC6ZsQHuyqtLqiCqffQAlArSjkldv9FwoyFc3ojjrt/qGqyVefefPmAfDPf/6zzj5FUXC7/S/aKkmnKytr/ARRZq1CHycHErenbhEGLAYN5VWuBsto1AopsfJ9aUvv7TzBj0erx4PWvuB6BNgcLhZ9vo+XZ49EHcoDQjq5GLMOtUrB7SdicgtBYrihHWvVdIqitKiVL5RbCJsc6Hk8ngZvMlCSmsPpaPxz4wigjNS6FEVhbP9ufsuM6hOLVmZYbzNuj+DD3VkNjhvzCMgrt7M1o7hd6yU1jUWv4eJBCY0GtJcPS2qnGklNJc9yUtAF8msjlAcGhrI+ieFMHJyAVl19qqh5G9QqhTH94hiWFh3E2nV+eeV2ShoZE6ZWKezJtrZTjaTmuntKX0xaNeoGzmW3T+jd4VuWuvJsuIC64Z566in+8Ic/YDAYeOqpp/yWve2221qlYlLXYbbosJZWNVpGCo4BPSLpnRjO0dxyyqucGHVqesaHoZfJTdtcQL9mRef6MVFc4SC9wIZKUejTzRIyCRsb0yvWzKd/GMtfPvyFLRkl3u2RRi13TuzNTWenBa1ugVJO3lpy/1AV0KfwiSee4Nprr8VgMPDEE080WE5RFBksSU0WFq6nzFqFyy2osLuocrpBCLQaNWa9BoNejVkurxFUWrWKvkmdb+BtRxcXpifOoiO/3NFgGbcQDOse0Y61ahvlVS5W/HiUrceKvd2OGpXCeX1juWZ0Cjp16HeEDIgP49ObxrE/r4zDBTbMOg1j06LQa+QPj44uoGApPT293v+WQk+5zUFRSSVuj8Bk0BAbbUId5JOQRqPGEmHkQHohtVMqOd0uKuwueiSEycy2UpekUhQuH9adF36o/7yrUqB7hDHkg6Uqp5vFX+4j+7S8Xi6P4Jv9+eSV2fnzlH6d5jzQv1sY/buF3qLhLc2VFMotoJ2jfVNqlMvt4cCRQkqt1TPPFKV6Ne+jmaX0To0iNoh5jNxuD4ePFdNQ7snMnDIsFj1RER27P1+S2sLFgxM5WlTBF/tyUSvgFtXdGQKIMel4YMbAkL4IAaw/mE9WSf0JUAXwS5aVn0+UMjw5sp1rJtUmUwc0gdvtZsWKFXz11Vf1LqT79ddft1rlpNYhhODA4UJKa03RrwlMPB7BwfQitFo1EWHB6eoqKKrA5fb4LZOVWyaDJalLUikKt53Xm0l94vhsbw7HiiuwnExKOblfHCZd6P/mXX+wwG+meJUC3x3Kl8FSkCnKqUkezb1/qGryt+z2229nxYoVzJw5k8GDB4d03oSuorzC4RMo1Scz20pEWFw71chXY3UDsJ5c9kR+3qSuSFEUhnaPYGiId7c1pLii4TFZUJ0iodDPuC1JamtNDpbeeust3nnnHWbMmNEW9ZHaQFFxpbfZviHWMjsutwdNEMYvyaXfJKlrizBoqfCTS02lQKRJ2+D+UFJa6WTVT8f47JdsqlweRiZH8vvxvegf3/HHMCktHLMUyj92mxws6XQ6+vTp0xZ1kdqIv6yxtXncAoIwKSPMoqOoxP8CkhazNqS/aJIkNey8vrG8sy3Tb/LNc/sEp+W7Nf18opQLnvmOQlt1K5kANqUX8tS3h3jit8O4+byOfW3tyqkDmtyM8Oc//5knn3xSrgQfQowGjd9WJQC1WkGjDc7wu7gYc6OzXLpFmSgqtFFUYKO8zI4nwABQkqSOb2K/OOLC9PUmLVQp0LebhREhPl6pwuFixnPfU1zhRHCqpd/tEQjgjvd28dX+3CDWsONJS0vzLrFS+3bLLbcA1eNxFy1aRFJSEkajkYkTJ7Jnz542qUtAV8fLLrvMe/vhhx94/fXX6d27NxdffLHPvssuu6zZFVmyZAmKonDHHXd4ty1atIgBAwZgNpuJiopi6tSpbN682bu/qKiIW2+9lf79+2MymUhJSeG2226jtLS03sew2+0MHz4cRVHYuXOnd/uuXbu45pprSE5Oxmg0csYZZ/Dkk0/Wuf8777zD8OHDMZlMpKam8q9//atOmfXr1zNy5EgMBgO9evXihRdeaPZr0lrios2NDqyLjzUHbUaNVqOif6+YeuuoVatIjjPjsruptDmprHBSWlxJzolSquRq91InVmF3kVdaid3Z+Zf6Mek03HvBAAYm+ubyUikwpmcMf5naL+TXvnt3eyZ5ZXbcDTQ0qFUKT3x9sJ1r1TQ1qQNacmuKLVu2kJ2d7b2tXbsWgCuuuAKApUuX8vjjj/PMM8+wZcsWEhISOP/88ykrK2v15x5QN1xEhO+gwksvvbRVK7FlyxZefPFFhg4d6rO9X79+PPPMM/Tq1YvKykqeeOIJpk2bxqFDh4iLiyMrK4usrCwee+wxBg4cyLFjx5g/fz5ZWVm89957dR5nwYIFJCUlsWvXLp/t27ZtIy4ujlWrVpGcnMzGjRv5wx/+gFqt5k9/+hMAn3/+Oddeey1PP/0006ZNY9++ffz+97/HaDR6y6SnpzNjxgzmzZvHqlWr+OGHH7j55puJi4vj8ssvb9XXrCk0GhW9U6M4dLT+9aOMBg3dE4ObcDAywsCwgfHk5JVTVFKJR4DFpCXcoK13sJUQUJhvo1tiGFqZSVrqRA7lWPlweybHT2a1V4DeMSZ+OyqFpCCm+GhrkSYdfz2/PznWKg7nl6NSFAYkhBFl6hzZ+9f+eir1Q33cHsG6X3PxeESHzSfV3rPh4uJ8u14feeQRevfuzYQJExBCsGzZMu69915vQ83KlSuJj4/njTfe4Kabbmp+ReuhiCD3p5WXl3PmmWfy3HPP8dBDDzF8+HCWLVtWb1mr1UpERATr1q1jypQp9ZZ59913ue6667DZbGg0p2LBzz//nLvuuov333+fQYMGsWPHDoYPH95gvW655Rb27dvnTYUwe/ZsnE4n7777rrfMsmXL+Pe//83x48dRFIW7776bjz/+mH379nnLzJ8/n127drFp06aAXo+a51haWkp4eOsGMCWlVWRmWyk72V+uUinEx5rpkRiOpgMuhlpeZqe02P9YJrNFR2QnvoBIXcvu48Us35hOfb3MWpXCbVP6khpraf+KSS129cs/snrXiUYntFQuu6xJrWhtec04/TH+/sYmDKbmf/6qKsp5aPY4MjIyfOqq1+vR6/2nrnE4HCQlJXHXXXdxzz33cOTIEXr37s327dsZMWKEt9ysWbOIjIxk5cqVza5nfZp8hZw8eTIlJSV1tlutViZPntzkCtxyyy3MnDmTqVOn+i3ncDh48cUXiYiIYNiwYQ2Wq/nA1A6UcnNzmTdvHq+99homU2AX1tLSUqKjTy0SarfbMRh88/wYjUYyMzM5duwYAJs2bWLatGk+ZaZPn87WrVtxOuvvMrLb7VitVp9bW4mMMDB4QDdGDUvkzMEJjB6WRFpyZIcMlICAutkqK2RXnNQ5eDwe3th8vN5ACcDpEby28Wi71klqPWelRvsd4KxSYESPyA7d3ahqhRtAcnIyERER3tuSJUsafewPP/yQkpIS5s6dC0BOTg4A8fHxPuXi4+O9+1pTk6+S3377LQ5H3XwXVVVVfP/990061ltvvcX27dv9vlCffvopFovFuy7d2rVriY2NrbdsYWEhDz74oE/zmxCCuXPnMn/+fEaNGhVQvTZt2sQ777zjc5zp06fzwQcf8NVXX+HxeDhw4IC3BSw7OxuofvPqe+NcLhcFBQX1PtaSJUt8PjTJyckB1bEltBo1er2mwzb11hABDOKWEw2kzmLnsWJsLv/jk/JsDo4X2NqpRlJrun5MKjq1qsGAySPg1okdezZca41ZysjIoLS01HtbuHBho4+9fPlyLrzwQpKSkny2nz5Luq3y8QWcOuDnn3/2/vfevXt9Ije3280XX3xB9+7dA37gjIwMbr/9dtasWVOnxaa2SZMmsXPnTgoKCnjppZe48sor2bx5M926dfMpZ7VamTlzJgMHDuT+++/3bn/66aexWq0BvRkAe/bsYdasWdx3332cf/753u3z5s3j8OHDXHTRRTidTsLDw7n99ttZtGgRavWpMTP1vXH1ba+xcOFC7rrrLp/n0R4BUyjQ6tQ4/OReqSkjSZ3B8cKKgModKygnJdbcxrWRWlusRc8bN4zhyuU/AtXr3gHecUy/G5fGtaNTglnFdhMeHt6kLsNjx46xbt06PvjgA++2hIQEoLqRIjEx0bs9Ly+vTqNFawg4WKqZRaYoSr3dbUajkaeffjrgB962bRt5eXmMHDnSu83tdvPdd9/xzDPPYLfbUavVmM1m+vTpQ58+fRg7dix9+/Zl+fLlPsFPWVkZF1xwARaLhdWrV6PVnkpe9vXXX/Pjjz/W6Q8dNWoU1157rU+/5t69e5k8eTLz5s3j73//u095RVF49NFHWbx4MTk5OcTFxfHVV18B1dMbofrNO735Ly8vD41GQ0xMTL2vQyB9tV2VOUyPrZGsvZYgLdEiSa1NH2B3uEFOaAhZFw1J4qcFU3hm/SE+3JWFw+1hRI9IbpnQh0uHJXX4XHLByrP0yiuv0K1bN2bOnOnd1rNnTxISEli7dq13zJLD4WD9+vU8+uijLahl/QIOltLT0xFC0KtXL3766SefUeo6nY5u3br5tLA0ZsqUKezevdtn2w033MCAAQO4++67GzyWEAK7/dTyGFarlenTp6PX6/n444/rtFI99dRTPPTQQ96/s7KymD59Om+//TZjxozxbt+zZw+TJ09mzpw5PPzwww3WW61We1vQ3nzzTcaNG+dt5Ro3bhyffPKJT/k1a9YwatQonwBOCoxWqyY80oC1pKre/UaTFoNRvq5S5zCmTyxf7Mv1mxNNo1IYmhLVbnWSWt/gpAheuGYkL1wzsvHCHYxKod5cWE25f1N5PB5eeeUV5syZ4zMWuSbV0OLFi+nbty99+/Zl8eLFmEwmZs+e3fxKNiDgYCk1NRWn08n1119PdHQ0qampLXrgsLAwBg8e7LPNbDYTExPD4MGDsdlsPPzww1xyySUkJiZSWFjIc889R2ZmpjfHQllZGdOmTaOiooJVq1b5DJCOi4tDrVaTkuLbrGmxVI/k7927Nz169ACqA6VJkyYxbdo07rrrLm/rkFqt9gaFBQUFvPfee0ycOJGqqipeeeUV3n33XdavX+899vz583nmmWe46667mDdvHps2bWL58uW8+eabLXqturKwcANarZoyaxUOe3WXnEarwhKmx2TWdfhfYpJUw2Z3cSS3DKfLQ3SYntRYs8/nN9qiZ2A3C3vyyhs8xpjUKPSyZUkKkprepZbcv6nWrVvH8ePH+d3vfldn34IFC6isrOTmm2+muLiYMWPGsGbNGsLCWn/pmCYtd6LVavnoo4+47777Wr0ip1Or1fz666+sXLmSgoICYmJiGD16NN9//z2DBg0CqrvyapJUnr4ES3p6urd7rDHvvvsu+fn5vP7667z++uve7ampqRw9etT798qVK/nLX/6CEIJx48bx7bffctZZZ3n39+zZk//973/ceeedPPvssyQlJfHUU08FNcdSZ2AwVrcgNTb+S5I6IrdH8O2eHHYdL0YIvOs0hhu1XDg8iR4xp8Yf3XBebx77fB85J9N71F7TMd6kY/qQxNMPL0md2rRp0xqcyKMoCosWLWLRokVtXo8m51m64YYbGDJkiM+gZKn1tEfODEmS2s8XO0+wJ7PuqgIK1bnOZo/vSbeI6uEDPx0q4Ks9OYDA6RG4BagVBa2ioKggPsLA3PN6yx8Mkld75lla/PbmFudZuueqMSF5fWvyQrp9+vThwQcfZOPGjYwcORKz2XdWxm233dZqlZMkSQplheX2egMlqG4x8gjBxgP5/GZ0Mh4h2HyoJsWIglalUHtEnhCQU1LFieJKeshErFIQBKMbrqNocrD03//+l8jISLZt28a2bdt89imKIoMlSZKkk349UYqi0GDWZiHgcG4ZDpebskoX5XaX3+MpChzNL5fBUhAdLrDxzo4T5JbZ6Ram58rhSfSJk1nVO7smB0vp6eltUQ9JkqROp9Lh9hl31JAqpwdPACMiFAioXCjzCEFmYQXWCgdGnZqUOAtadfBXGfB4BH//316W/3gctUrxvq9Prj/MnLOSWXLRoA6dfbs1BGM2XEfR5GCpNjngVpIkqWHhRm2ja4GpVQpGnRqTTo1Bq6LK6WmwrEfQqVuVjuaV8/Uv2ZRXnWph02lUjOkbx/C0qKBea5749hDLfzwOVA/ar+3VnzKIMupYeH6/YFSt3Sg0Y9mP0+4fqpr1vF999VWGDBmC0WjEaDQydOhQXnvttdaum9QGnC4PR7KsbP01j23788jIK6/zxZckqXUM7BHh9wqhKHBG9wi0ahUatYoze8Y0WFxRINKko2cn7fI5XmDjk60ZPoESgMPl4ft9uexILwpSzcDmcPHshoZ7VQTwn43pjXajSqGryS1Ljz/+OP/4xz/405/+xPjx4xFC8MMPPzB//nwKCgq4884726KeUivIK67kx705uNzCe0I+lluOQafmnCGJhJt1Qa2fJHU2FoOW8f27seHXvDr7FAWMWjXj+p1K8Du+XxxZxRUczbf5dN8pVGfu/u2YlE7bkr/hV/8JOX88kM/glEh0mvbPM7UxvQhbI0svVTo9fHe4kBkDW3+pjY5CDvBugqeffprnn3+e66+/3rtt1qxZDBo0iEWLFslgqYMqr3Sy8Zcc73iH2iclu8PN9z9nMW10CtoAl1yQJCkwY/rEYtSq2XQw36fVpGechcmDEwivlYVeo1Zx1dg0fsksYcfRIorKHei1Kgb3iOTMntFYDJ0zY31RuZ0Cq91vGZdHcDi3nDO6R7RTrU6pdPoPlJpaLlSpaFk3XChfXZocLGVnZ3P22WfX2X722WeTnZ3dKpWSWt/hE6UNJvYSgN3p4XhuGb2DcCKSpM5uaGoUg1MiySutwuHyEGXWEdbAUj2qk0uadKVlTSoC6L5SgMogdXP17xZY1+eA+M7ZRSo1I9Dr06cP77zzTp3tb7/9Nn379m2VSkmtLzPf1uiMnKwCW7vURZK6IpWikBBpJCXW3GCg1FUF0mImAizXFvp3C2N0ciTqBnqR1IrCiO4RDEoIrUSLTaVQ3X3c7Fuwn0ALNLll6YEHHuCqq67iu+++Y/z48SiKwoYNG/jqq6/qDaKkjsETwCBulxzoLUlSEESadSRGGckprmzwR51Oo6JXEFtunrhsCBe9+CNldpfPpBi1SsGsU7PssiFBq1t7USkKqhaMO2rJfYOtyS1Ll19+OZs3byY2NpYPP/yQDz74gNjYWH766ScuvfTStqij1AoiLP4HbytAZCNlgslW6eTgsWK2783j5/35ZOfb5Cw+SepEzj0jvnoAsZ/9miDmW+obZ2HNH8/m6hHd0Z2sh06tcOXwJNbePJ4B8a2/eGtHo7TCLVQ1K8/SyJEjWbVqVWvXRWpDvZPCKSitanC/AHomdswm5KMnrBzOKPGZHZRfXMmRzBLOPCMeo6FF6cIkSeoAEiKNXD42hW/35JBfa7C3xaBhfP9u9O8A4ylTo008fukQHrl4EFa7k3C9Fp2cFNMlyKtMF5EUayYl3sLx3PJ69w9MiyLSom/nWjUur6iCwxklQN0syHa7m52/5jF2WGJIT0mVJKlaYpSJa87pRYG1CmulE6NOTUKkscN9v3UaFbGajne+bGtduRsu4GBJpVI1+oFVFAWXSybl6ogURWFkvzhiwg0cOlFKWYUTgOgwPf2SI0mKNTdyhOA4esLa4D4BVFS5KCypIjbK2H6VkiSpTcWGG4gNNwS7GtJp5HInAVi9enWD+zZu3MjTTz/d4NR0qWNQFIWeieH0TAzH5fagKKBWddwmZKfLQ5nN4beMokBhSaUMliRJkqQ2E3CwNGvWrDrbfv31VxYuXMgnn3zCtddey4MPPtiqlZPaTjAHSgYqoOBbVK+XJUmSJLWtlg7SDuGGpeYl1MzKymLevHkMHToUl8vFzp07WblyJSkpKa1dP6kL02pU6HX+lzYQQHgHnsUnSZLUWdSMWWrJLVQ1KVgqLS3l7rvvpk+fPuzZs4evvvqKTz75hMGDB7dV/aQuTFEUkhP8T8dVqxUSYjrvKuySFGrsTjcZhTYyiypwuj3Bro4ktYqAu+GWLl3Ko48+SkJCAm+++Wa93XKS1NqSE8IosVZRUOKb9kA5+X9D+8WhDoEuRUnq7BwuD9/syeHn48XeBLc6jYpRPWM4Z0A31KE8ulcCTmXibsn9Q1XAwdLf/vY3jEYjffr0YeXKlaxcubLech988EGrVU6SVCqFIf3jyMm3kZFThq3SiVqlEBdtIiUxHItJLhshBZfH7cHtEahUSpcN3F1uD29tTCerpJLaQw0dLg8bD+ZTUG7nstHJHS4FgNQ0Ci1bDDeU3/2Ag6Xrr79eftCloFApCkndLCQFuJilJLUHp9ONtaSSqspT6VL0Bg3hkQZ0uq6Vwu6XzBJOFFc2uP9AtpUjeeX07gJZrqXOKeBv9IoVK9qwGpIkSaHD6XCTn1vG6RM27VUu8nPKiY23oNd3nYBpx9Eiv/sVBXYdK5bBUoir7oZrfqNJKLe3dM02Y0mSpBYoLqqoEyjVVlJY0aXyzpWeTHLbECGguJGcaVLHp2qFW6jqOj99JEmSWoHT6cbpcPst43J5cDjcXaZ1yahTU+nnNVEAk95/GpCOyOlyU1hUicPlRqdVExNlQtuF14JTFKWFLUuh27TUNb7JUqfhcLpxewR6rRqVnF0jBYHL6T9Qql2uqwRLQ5OjWL8vt876jTUEMCQ5qj2r1CJCCDKzyziRbUVQ3X0kBBzNKCE5KYKkeEtIX/ilpusa32Qp5GUV2th7tJjCk6uR6zQq+nSP4IzUyJDIRi51HoEG6V0pmB+eFsW29ELK7a463ZOKArFhegYkhQencs2QnVtOZvapdSlrnpMQcPxEKWqVQkIXnHDSlVMHyKuMBIDwCFxVLhzlDuxldhw2B26nu0OMuzicZeX7n3O8gRJUT0nee6yYb3Zm4ZKJ76R2pNNrGg2EFAX0hq6T1sKo03Ddub1IiKi7RmNqrJnZZ/cMmR81bo/HJ1CqT0a2FU8XXGdJjlmSujSP24PT5jtAU7gFrkoXikZBa9QGrcm50u5i24H8BvcXWe0cyChlYFroNPFLHZvL5cZW7sDjEWi0asxmnU9wpCgKYREGSv1MlbeEG7pUyxJApEnH3Am9yS6uJLOoAkWBtFgzseGGYFetSUqtdtyNBEIulwdruZ3IEHtuUvPJYKmLE0Lg9DOTRbgEbocbTZDGXqTn1J2efbqDJ0o5IzVSjiHohDweDxU2Z/WAagUMBi0Go6ZN3mshBIUFNspqtWACFCoQG2fBEqb3bjNbdAiPwFpadfphsITrCQvX19neVSRGGUmMqtvCFCrcAbZUB1quM5EDvKUuy+Py0OCozJPcDjdqnTooH3SrzYGC/ypWOdy43AKtJnS/iFJdlRVOigttPsFyRbkDjUZFTDcLmlaelVRfoATV41Ty88pRqRRM5upFm2tal0wWHZUVTtwuDyq1gsmkQ92FZ0t1BoYAfxgGWq4zkWOWpC5LuAPodxc0GlC1FY1aFVCOfLnuVOficLgoKrDV26rocnkoyCtv1fF0Lpe73kCptuKiijrb1GoVljA9EVFGwsINMlDqBCxmXaOBkMmoxWzStVONpI5AfrOlDq1HnNlvN5yiQFKMqcuND+nsyhsJXNwuD5WNJEJsClt54wkTHQ43zgDTBkihS1EUeqdFNdgKolIUeqd2zTGScoC31GWpNCrcjSTYQyFoKyDGRxmJCtNTbK2i0u2hyu3BI0CtgFGjRq9SGNhFT1ydWWVl44FQVaXT2y3WUoHObOqKM6AAqpxusosrURRIiDRi0IZegsmmCLfoGdy/G8dOlGItOxW4R4brSeke0WVbleSYJanLUtQKikpB+LkIaPRtM6A2EIqicNYZ3Xj7h3TsrlMDKl0C7A4XCREGIixd88TVWQkhAur29feZbSptgBf/1h4n1dE5XB6+3pPNz8dLvDPE1CqFYSlRTB6cgDZE0gE0h8WsY1C/uOoWRZcbrVaNrpMHiVLDOu8nXQqIoihoTdoGW45UWhUqbXA/Jt/tzcXRwMyTnNIqNvlJLSCFHkVRAgpKNLrWu3CZzDqURrpyTWYt6k4cHJzO7fHwzqaj7Dxa7DOV3u0R7DhaxDubjjU6xb4z0OnUmE06GShxqpOhJbdQ1XW++VKDFJWCzqJDY9B4W5pUGhVak7Z6WxCbTktsDo7ml/sdt7T7eDEOlxxL0pnUnqbfEPNpLYpCCOxVTgryy8nNKaOwwIbd7sLt9mArs1Ocb6MorxxrcSVOh8vnviqVQmycucHHUqkUomMa3t8Z7TthJaOoot5GPgEcL7Sxv5HkjVLnolJafgtVshtOAqp/zat1atSt+Gu9NWQW2hot43ILckurSO5iF7NQJITAXumkqsKJxy1QFNAZtBhMWp+ZZCaLjspKJ/YqV73HiYgyotGc+qwKIcjPLcd22sr2tjI7RoPW5xetw+3CUeXCaNZhrpUPyWLRo1IpFBdW4Kg1js9k1hEdYwq4q66z2HmsyG/aDgXYdbSIgd0j2rFWUjDJMUuS1EEF3Mjf+XsDQp4QgrKiSly1xp4JAfZKJ/YqJ+FRRjQnAxJFUYiJM2Mrs1NeZsd9MsWFTq8mLNyAwei7lEhhga1OoARg1GuqH6Sek3SlzYFGq0Jf61gmkw6TSYfT6a7O4K1Rdamut9pKK5x+v1YCKKlofBahJHUGMliSOrTEyMYzAasUhTi57ECHV1nu8AmUfAgoK6kiMtbk/fWpKAqWcAPmMH11vAP1jityuz315kjSnmyp8vdrttLm8AmWvPftYq1I9THrNVgbmZVoDsHEjC6XB6u1CpfTg1qjIjxcL9/vALV03FHotivJYEnq4GLDDSRGGckpqax33JICDOgejqGDdR9KvoQQVDVy4RUegdPuRmfwPS1VN/03fL+G0gwEkqjU5fQghAjp7oG2MiQlkuyShte/AxiaEjppO6qXs6mgoMC3az8/r5zoGBNxcWb5OWiE0sJxR6H88nbN9mWpxYQQFJZUcvBYMQfSi8jKK8fVRmslXTC8O5YGVnDvFmHgvIHxbfK4UutxuxtfVgeqM2k3VSsm8pZqGZIcRbRFV+8FTlEgNkzPoB6R7V6v5iourqwTKNUoKqygsLBuhnZJqiFblqQmq7K7+OVAPhVVLm+zak6BjSMZJZzRO4aYALrOmiLMqGX2OT3Zk1HCnswSKu1uwo1aBqdEMqB7RPWSKFKHpgTYAB9oudr0DbQquj0CTSMNjhqtSrYmNECnUXHd+F58vD2Do/m+QUZarIWLR/bwdnV2dB6PoCDf/2SRwgIb0dFyNQB/5ABvSQqQxyP4eX8+VfbqWUritH17DxUwYmA8llbOcKvXqjmzVwxn9opp1eNK7UOlVlCplEYzYGv1Te9O1ek16PVq7HbfVimny4Neq/bbzWZspQzgnZXZoOGas3tSWGbneKENBUiOMRMTQGqHjqSywtnoZ08IsNkchIXYc2tPwRizdOLECe6++24+//xzKisr6devH8uXL2fkyJFAdS/HAw88wIsvvkhxcTFjxozh2WefZdCgQS2oaV2h8bNA6jAKiiu9gVK9BGTmlLVfhaSQoCgKhkYCE41W5Z0N11Rx3cLqbRGo9PNZNZp1dcZHSfWLCdMzIi2a4WnRIRcoAXg8gQ0R8LTRUAKpeYqLixk/fjxarZbPP/+cvXv38u9//5vIyEhvmaVLl/L444/zzDPPsGXLFhISEjj//PMpK2vd65A8U0hNUljiv19fUB1QSdLp9EYNHreHqnoWwFVrVFgimz+jUatT0z05gtKSKsqsVQhRnUjSEqbHEqbH6XDjqHIhhECjVWM0adGG4EwuqXl0usDea538TPjV0sSSTb3vo48+SnJyMq+88op3W1pamve/hRAsW7aMe++9l8suuwyAlStXEh8fzxtvvMFNN93U/MqeRrYsSU1Sk+/GH49HVK/vJUm1KIqCKUxPeLQRvVGLRqdGp9dgiTAQHm1EpWrZ6UijURMTaya1ZzRpvaJJSYsiOtaMTq/BHKYnKs5MdDcL4VFGGSh1MXqDBkMjrYg6nbrRMl2d0gr/A7BarT43u71u6g+Ajz/+mFGjRnHFFVfQrVs3RowYwUsvveTdn56eTk5ODtOmTfNu0+v1TJgwgY0bN7bqc5fBktQkZlP9s9JqMwV5iRSpY9No1ZjD9YRHGbFEGtC18uelZhCq/AxKtSUkhjX4mVAUSEwKl5+ZdpKcnExERIT3tmTJknrLHTlyhOeff56+ffvy5ZdfMn/+fG677TZeffVVAHJycgCIj/edER0fH+/d11pkGC01SUKchYxs/33BSfFh7VQbSZKkwBgMWtJ6RpGfX0552anM4xaLjtg4M4YG0pNIpyhKy3Il1dw3IyOD8PBw73a9vv5xcB6Ph1GjRrF48WIARowYwZ49e3j++ee5/vrrax3Xt1JtkTtNBktSkxj1GnqnRHL4eEm9+6PCDSTEyjXaJEnqePR6DT16ROJ2e3C5PGjUKp81CSX/VLRwzNLJf8PDw32CpYYkJiYycOBAn21nnHEG77//PgAJCQlAdQtTYmKit0xeXl6d1qaWkp8Sqcm6x4cxqG8s4bVWfdfr1PTsEcGgvrEyT4kkSR2aWq1Cr9fIQKmJWmvMUqDGjx/P/v37fbYdOHCA1NRUAHr27ElCQgJr16717nc4HKxfv56zzz675U+4FtmyJDVLTKSRmEgjLnf1chEatUzuJ0mSJLWeO++8k7PPPpvFixdz5ZVX8tNPP/Hiiy/y4osvAtXdb3fccQeLFy+mb9++9O3bl8WLF2MymZg9e3ar1kUGS1KLyOzZkiRJXUNrjVkK1OjRo1m9ejULFy7kn//8Jz179mTZsmVce+213jILFiygsrKSm2++2ZuUcs2aNYSFte7YWUXIOd4ditVqJSIigtLS0oD6dCVJkqSuqz2uGTWP8fk3ezBbmh+E2MrLuHDSoJC8vsmWJalTs1Y4sNldmPUawlt5CRZJkjqGSruLjLxyKuwu9Fo1yd0sWIxydpvUemSwJLWJyioXLrcHg14TlMU2s4srWL8vjxNFpzKOd482MeGMbiRGmdq9PpLUEdV0LITqeEMhBPszSth3tBjByW4eAfuOFZOWEMbwvrGoQvS5dUQqFFQtWB2uJfcNtg4z4GTJkiXewVo1Fi1axIABAzCbzURFRTF16lQ2b97s3V9UVMStt95K//79MZlMpKSkcNttt1FaWlrvY9jtdoYPH46iKOzcudO7fdeuXVxzzTUkJydjNBo544wzePLJJ+vc/8svv2Ts2LGEhYURFxfH5ZdfTnp6uk+Z9evXM3LkSAwGA7169eKFF15o2QsTYnKLKvhuxwm+2prB+h0nWLv5GDsP5FPl8LOeXCvLLKrgrY3HyCryXZol6+T2zCL/S7ZIUmdntTnYsT+Pzzcd47MfjvL11gyOnCjF3chisx1NenYZe08GSlC9GG7Nfx/NKeOXI4XBqlqnVDNmqSW3UNUhgqUtW7bw4osvMnToUJ/t/fr145lnnmH37t1s2LCBtLQ0pk2bRn5+PgBZWVlkZWXx2GOPsXv3blasWMEXX3zBjTfeWO/jLFiwgKSkpDrbt23bRlxcHKtWrWLPnj3ce++9LFy4kGeeecZb5siRI8yaNYvJkyezc+dOvvzySwoKCrzr0UB16vUZM2Zw7rnnsmPHDu655x5uu+02b06Izi4jt4wte3Ox2k4lfPMIOJFXzoadWe0SMAkhWPtzFkIITj/ti9P2S1JXlFdcwfc7T5CVb8NzMjiqqHKxN72In/bk4A5w0dlg8wjBvmPFfsscybJid7rbqUZSZxb0Ad7l5eWceeaZPPfcczz00EMMHz6cZcuW1Vu2ZpDZunXrmDJlSr1l3n33Xa677jpsNhsazalexs8//5y77rqL999/n0GDBrFjxw6GDx/eYL1uueUW9u3bx9dffw3Ae++9xzXXXIPdbveuYfXJJ58wa9Ys7HY7Wq2Wu+++m48//ph9+/Z5jzN//nx27drFpk2bAno9QnWAt9PlYe1Px70n39MpQHJCGEP7xLZpPbKLK3jjh6ONlps9Pk12x0ldjsvtYd1Px3H5WeOxX0ok/VKi2rFWzVNYWsX6XVmNlhvZP47UTryqQHsO8F777d4WD/A+f+LAkLu+QQdoWbrllluYOXMmU6dO9VvO4XDw4osvEhERwbBhwxosV/Mm1A6UcnNzmTdvHq+99homU2AXyNLSUqKjo71/jxo1CrVazSuvvILb7aa0tJTXXnuNadOmodVWDyTctGmTz4J+ANOnT2fr1q04nXVXWofqrsHTFxUMRVn55Q0GSlDdqpOZV47L3ba/WkvqWdG+JeUkqTPJyrf5DZQAjmZbQ6LlNdBzSVufc7oSlaK0+BaqghosvfXWW2zfvr3BRfQAPv30UywWCwaDgSeeeIK1a9cSG1t/60RhYSEPPvggN910k3ebEIK5c+cyf/58Ro0aFVC9Nm3axDvvvONznLS0NNasWcM999yDXq8nMjKSzMxM3nrrLW+ZnJycehf0c7lcFBQU1PtYS5Ys8VlQMDk5OaA6djS2Smej/dEej8DuaNsmcYNWHVA5Y4DlJKkzKbXZG/2eOpyeNv+etgZLAIt6A3IWrNQqghYsZWRkcPvtt7Nq1SoMBkOD5SZNmsTOnTvZuHEjF1xwAVdeeSV5eXl1ylmtVmbOnMnAgQO5//77vduffvpprFYrCxcuDKhee/bsYdasWdx3332cf/753u05OTn8/ve/Z86cOWzZsoX169ej0+n47W9/6/MrrL4F/erbXmPhwoWUlpZ6bxkZGQHVs6PRaFTUGSRUX7k2TmKZHGNqNGAyaNUkB7h+nRCC4wU2fjpcwLb0IkorHI3fSZI6qEB/2YfCkkVmg5ZukUa/86tMBg2xEQ1fX6Qmaung7o7/sWpQ0FIHbNu2jby8PEaOHOnd5na7+e6773jmmWew2+2o1WrMZjN9+vShT58+jB07lr59+7J8+XKf4KesrIwLLrgAi8XC6tWrvd1iAF9//TU//vhjnVWNR40axbXXXsvKlSu92/bu3cvkyZOZN28ef//7333KP/vss4SHh7N06VLvtlWrVpGcnMzmzZsZO3YsCQkJ5OTk+NwvLy8PjUZDTExMva+DXq9vcMXlUJIYa+ZAA4vr1ogO16PXtaxFp6jMzuEcKw6Xhwizjr6J4ehrBUcatYrx/eP46pecBo8xvn8c6gAuBrmlVby/5Tj5ZXbvNgUYkhzJRcO7ByUlgiS1RHy0ifQs/139kRYduhBpeR3eN5Zvd5zA6fL4/FZTqP6BOrp/t5BNi9ARNWd9t9PvH6qCFixNmTKF3bt3+2y74YYbGDBgAHfffTdqdf1fViEEdvupi5fVamX69Ono9Xo+/vjjOq1UTz31FA899JD376ysLKZPn87bb7/NmDFjvNv37NnD5MmTmTNnDg8//HCdx62oqKhTp5q/PSdnj4wbN45PPvnEp8yaNWsYNWqUTwDXGYX9f3t3Ht9Ulf8N/HOz72m6Jd1bKFBogaoo4DJYUFaX5xH1JzqO6DMMCIiIM+IyijujP8cFEWdUZmRYxA0dF0bAAUQHdJC1rIKkpbQN3ZM0TbOe54/QSGi2tmmaNN83r8zYe0/uPT2E5JuzfI9MhIxUOWobLAHL9GTSqNPlxtbyWpwymD3fUuBZabfrWB2uGqZFUXaSt2xpfjJcbobvjtXB6WbgcZ6yAh6HK4rSUZqfHPA+HVosdrz77c+wOX3nOzAA5VUtaLM7cfvYfHojJlHBGIvIay1FLYFKLoLZYg/YETzwvH9LsU4hFaLs4iwcrWzGmbpWdEyb1KXIMDRPgyRF/H8RjSU8zvPoyfPjVZ8FS0qlEiUlJT7H5HI5UlJSUFJSAovFgueeew433HADMjIy0NjYiBUrVuDMmTO45ZZbAHh6lCZOnIi2tjasWbPGZ4J0Wloa+Hw+cnNzfe6hUCgAAAMHDkR2djYAT6BUVlaGiRMnYtGiRd7eIT6fj7S0NADAtGnT8Morr+Dpp5/GjBkzYDab8eijjyIvLw8XXXQRAM/Kt+XLl2PRokWYNWsWdu3ahZUrV+K9997rpVaMLaWDUsEBqDkXMHGcJ+8Jn89h5KA0pCZJu33tbeW10BvMAHxzqbjcDNsPGSAVCZCXrvCWv2RACkpykvBTrcmbwXvwBb1QwfznRD3sTjf8zXNlAE6ebUVVYxtywxzOI6SrnC43TlabcLLaCEu7EwI+h9x0BYbkJnV7Hg7HcbhsmBbfHzKg1frLIodzuRwxrCAZGXH2mpZLhBg1JB2lhamwO1wQCvjU60siLmYzePP5fBw7dgyrVq1CQ0MDUlJScOmll+Lbb79FcXExAM9QXkeSysLCQp/n6/V65Ofnh3WvDz/8EPX19Vi7di3Wrl3rPZ6Xl4eKigoAwPjx47Fu3Tq8+OKLePHFFyGTyTB27Fh89dVXkEo9QUBBQQE2btyIBx54AG+88QYyMzOxbNkyTJ8+vYetER/4fB4uLkrHYKsDhgYLnC43FFIhMlLl4PdgrlKLxY6fzwVK/nAAfjzZ4BMsAYBYyMfwbvRmMcZw4HQLguXn43HAwaoWCpZIr3A43di+vwZN5w0BO10MeoMZlWdbMW5kBtK6+eVDIhbgVxdn4WxjGwyNntVxSpkQuTolZJL47QEX8Hm0sXcvi/ZGurGkz/MsEV/xmmepN+071Yj//lQfcv74HeMGQhmB/aBcboZn/3koZLmhmSrcOjqvx/cj5EL7TzbgpypjwNe8RMjH9ZfnxcVEbNK7oplnacd3x6HoQZ6l1lYzfnXlkLj8fKMwnMQ8u9Md1jcShzMy+VT4PA6yEBPReRygpo06SS9wudz4ucYU9MtBu8OFmsbA8wMJIZEVs8NwhHRIkouCDokBnqXOCmnkXs4X5yfjPyfq/c5ZAjwTxi8KY6I44MkvVd1gQXWjZ3uJZKUYBV2YP0USi6XdGTJxJMd5VoZmpymCliMkkmiCNyExbIBOie+OnIUjQCZejgMGZ6ggEkQu+Lh8UCoOnzHCaLX7DdQuLUhGuip0/pZWqwNb91XD3JG0kwF6gxn7fm7ElcU65KTThx3xFe7QGj+eJ4CEwWZ34mxDG9ptTggEPKSnyKCgBJN9KpHnLNEwHIl5Qj4PZcN18JfTjOMAuViAywanRfSeUpEA94wbgKGZap9/4FIhH9cU6zBlZOcNmS/kcjP8e281Wts9q47OX8XndjN8W16LRlN7ROtN4p9cIoA8RC8pY4i7VWtdcbrGhB8O1KKi2oizDRZUG8zYe/gsjpxsCLqtEiG9hXqWSFwYoFPhukv5+PFkA2qbrQA8c4uGZKkxqjAVMnHkX8oKiRA3X5aL1nYH6s02CHgcMjVS8Hnhfceoqmv1Bkp+ccDR0824siQjQjUm/QHHcRiWp8HuY/X+zwNIVUuQrOyfOYRq61tRUW30/nx+aNTQbMWJyiYMKfCf5Jf0LkpKSUgcyEqRIytFDqvdCYfTDalYAGEUlgorJEIourGk+kx9qzd/jT+MAVV1loglHCT9R4FOCYvViSOVzd58ZR2vpSSFCFeU6Pq6ir2CMYbTITKMn21oQ36WGmIRfXxFXU+3LInjtzl6tZG4IxUJII2DqQsuNwuZ7sBNmTuIHxzHYfiAZORpFThVa4K5zQGhgIfcdAV0KbK43r09GIvVEdYmvo0tVmSmd38JOyFdRcESIb0kSSFGdYMlaMCklomoV4kEpJKLUFqY2tfViBpXiFWAXS1HIiuRJ3hTsERILynMUuFQRVPQMoNz1GFdy+1mMBnb0WK0wulwQyjkQZ0khUolocSEpN+QSsL7SJJTjrM+kchzlmg1HOnXnC43KhtacarODLM1yGTrXiCXCHHZkHQA/ofqs1JlKMwMHSy5XG5UVjTBYDCj3eqE0+mG1eqEodaM05XNcAVIqUBIvBEJ+UhLDr6Ni0jIh0YdOm0HibyOnqWePOIV9SyRfokxhp0/1eOHkw2wncvszQEYpFNi0sjMbk3Y7o5B2WoopAIcqWyG4dwqPoVEgCE5SRicnRRWr1BtrQk2m/95HO3tTpw1mJGZFV4PFSGxbkCOBkazHXZH59c8xwFDB6bQ0DWJOgqWSL+06UAN9lU2+xxjAE6cNcOw4xTuHjewV9IN+JORIkdGihwutxtuNyDgc2G/2TscLrSa7UHLmEw2pGtdEEQwKSchfUUs4uPiYi1O15hgaLB48yqlaqTIzVRRYso+xHHhv3cFen68omCJ9DtnjdZOgVIHxgBzuwO7f27EuGHaqNaLz+Ohq5kO2trCGzq0Wp1QKilY6m2MMThtLrjdbnAcB4GID16Av1SHwwWL2Yb2difAALGED4VSAmGIfQeJZ6itME+DATlJcLrc4PO5sPObkd6TwJkDKFgi/c/B0y3gcQi4nxxjwL7KpqgHS90Rz28u3dXW7oDF6oSAz0GtFHd5mXyb1YGmJgusVid4PECllECjkUEg6NmHraPdiXaLby+frc0BoZgPsdx3VWObxY7mxjbfelncaLM4kJQshVzRPxNKRhqPx0HEo+CS9D0Klki/Y7Y6Qm68a7W74HIz8GN8JZlUFt7cKmkEVgfZbJ7J4wIBD+IIDVHa7S40NllgNLbD7WIQiflITpZBkyTt1CVvsTpw5FQjmkw27zGRkIeB2UnI0SrC6sKvq2tFXX2rzzGrtRX1DRYU5Cd3u50cts6B0i/nXADngETuGR5yOFydAqXztTRZIRTxIaKkiiTOUOoAQvoRmZgftGcJAEQCXlzsgC0U8qFUimE22wKWUanEPeo1sbTZYTCYYT1vtaBUIoBOp4Jc3v35IVarA/qKJp+9vNrbnaipMcFobEdersY7wb2t3YHvyw2dVvbZHW4c1TfB6XRjQHbwSewmU3unQKmD281QUdmEIYPTu5xqgTEGW4jhUEe7EyKpEDweB0uQv6sOFrMNohR6+yXxJZHnLNEgMOl3irOTggZKHAcMz0mKm3+4ugxlwJ4eiUQAra77mYwtFjv0+iafQAkArO1O6Cua0Noa+oPfH8YYKk83B9z01GKxo/68wOZkVQtcLnfABJ4nq1pCZnZuaLAEPe9yMbQYrUHL+ON2MbAwNm912p0AAFu7M2TZcMoQQmIHBUuk38lOlqFQq/Q734fjALGAj9FxlBWZz+chL18DXYYSUqkQQiEPMpkQGZkq5OVrwO/m/niMMVTXGIOWqak1gXVjSxaz2QanM3j+p6amNrjdDE6XG4bGtqCZzhmA2iDBEGMMbWHk0bIEGEoLKszf31ssPmLwPtFuc6Ky2ohjpxpxsrIZRrOtW68vQqKN+oFJv8NxHP7vpTnYdLAG5VUtPp91aUoJbrwkG+o4W37M43FISpIiKSl4wr6usFodsIforbHbXWizOiDvYnuFE7i43AwOhwsuxkLGIxwHWG190xvDhRmMdgzviSVCOB3Be+TEYWaq7k+qak3Qn/klOOcA1NS1IkklxrDCVAiisCk26Rmas0RIPyPg8zDtomyMG6rFqbpWuNwMWrUEGX4mFicqh5+kf37L2V2ArGvXDreJOQ4Q8kOvdmIMEAsDl+M4DhKJwLNMPwhZN4JkHo8DX8iDyxGkp4wDBOdSAigUopDzlhTKxMpAfbbB4hMoAfD2JLaYbDh+qhHFg9KiXzFCwkShPOnXFBIhRuRqcFF+MjI1MgqUzhPu8F13hvkU8tBL44VCvuch4CEtjB6zjFR50POpKcHP83gckrq5TYZELgo6vCZR/JI6QCDkQ5MSOLpMSpYmVK4lxhgqQwz3Nra0h9UbSfrYuQne3X3Ec9cSBUuEJCi5XBQyEOLzuW6tiJPJhJCEGGpKS5V7A4zC3KSgqxNztIqQm6yq1RIkB9hXjOOA3Nykbs/v4vF5kKsl4At5nY5LVWIIL0gDIJOLkJ6hhFwhgkDAg0DAg1whQrpOmXA5lqw2J9oDbNdzvsaWrk++J9HFReARr2gYjpAExXEcdFoFqmtMActo05VdXmrfce28XA30FU1+50WlJMug0fwS2KjkIowapkX5yUafuUkcB+RnqDAoNymse2boVFAqJWhqbIO13QGO46BWiZGcLOtxXiMenweZSgK327M6juMQMHs34Ok5S0ru4vhlPxRoReT5OM4zh43ENg49TB0Qx+ESBUuEXMB9brZxVzNHxyONRgY3A86eNft8qHUEUsk9+LAXCvkoHJgKk6kdLUYr3C4GsVgATbIMMj/JITUqCa66KBPNJhss7Q7weTykaSQQdmHPO47joFSIoezF3hsej0NcJOmKERKxABwXfFEhY4A8AolVCektFCwRcs7+qhZsPmrAz3WtYAAGpMpx7VAtLs7V9Ou5TinJMmiSJDCZbN4M3kqluNtDVufr6io+juOQrJYguZtzi0jsEfB50KXKUVsfOPWDUMBDSgRXepLeQavhCElwXxyswWcHazzfgM8d0zda8NdvT2FysQ43XZTdp/XrbTweL6JpCQg5X362Gi1mG6wXrFbkzv3P0IEp3RruJdGVyMESTfAmCe9UQys+O1gDwHeooOO/vzpswDFD4Hk9hJDghAI+LhqqRU6G0ptPiQOQmizFRcO0SFJRTyKJbdSzRBLe9uN1QfeS43HAtuN1KNKpolsxQvoRgYCHguwk5Gep4XIz8DiOepPijGdFW08meMcvCpZIwqtobAu6l5ybAZVBdpEnhISP4zgI+PH8sZnAerr+P47/2mkYjiQ8YRhv3PTmTgghiYuCJZLwSnM0QSce8jjg4lxN9CpECCExqGOCd08e8YqCJZLwfjUoDWI+z28PMQeAz+MwjvatIoQkOC4Cf7riySef7LRlik6n855njOHJJ59EZmYmpFIprr76ahw+fDjSvzYACpYIgVoqxP0TBkN6br+u84flxQIeFpQNQkqCbVFBEpvL7UZtUxuq6lrR0hp8U2BCelNxcTFqa2u9j/Lycu+5F198ES+//DKWL1+O3bt3Q6fT4dprr4XZbI54PWiCNyEABqYp8Kf/OwLf6xvx01kzGAMGpSswZkAKZD3cJoOQeMEYw/GqFpTrm2B3ur3HU1RijC7SQqOkLw2JrC/yLAkEAp/epA6MMbz66qt47LHHcNNNNwEAVq1aBa1Wi3Xr1mH27Nndr6gf1LNEyDkSIR9XD07H764aiNm/GojxRVoKlEhCOVTRhD0nGnwCJQBoMtmweU8VjBZ7H9WMxIILh8S68wAAk8nk87DZAvdenjhxApmZmSgoKMBtt92GU6dOAQD0ej0MBgMmTpzoLSsWizFu3Djs3Lkz4r87BUuEEEJgtTlRrm/ye44BcLkYDvzcGN1KkZjCReABADk5OVCr1d7H0qVL/d5v9OjR+Mc//oFNmzbh7bffhsFgwOWXX47GxkYYDAYAgFar9XmOVqv1nosk+tpMCCEEFeeGnwNhAM7Ut8LucEEkDH9zY0IuVFVVBZXqlyS/YrH/4d0pU6Z4/3v48OEYO3YsBg4ciFWrVmHMmDEA0GnfTsZYr+zlST1LhBBCYLU5Q84pYQDaHa6o1IfEnkilDlCpVD6PQMHSheRyOYYPH44TJ0545zFd2ItUV1fXqbcpEihYIiSCnC43jle14IvvK/HBNz/js50VOFTRBBt9wJAYJxEJftlFOggx9SolrEjNWeoum82Go0ePIiMjAwUFBdDpdNiyZYv3vN1uxzfffIPLL7+8p79qJxQsERIhdqcLm/ecwY8/1cNoscPhdMNsdeDAz43Y+MNptFodfV1FQgLK1yqDxkocgKxUOQVLJGp+//vf45tvvoFer8cPP/yAm2++GSaTCXfddRc4jsPChQvx/PPP45NPPsGhQ4cwc+ZMyGQy3H777RGvC81ZIiRC9vxUjxaz/1UdVrsT/zlswKRROVGuFenPWtvsaLU6IODzoFFJwO/BxrQyiQDD8jQ4Utnc6RwHgMfjMHJASg9qS0jXnDlzBjNmzEBDQwPS0tIwZswYfP/998jLywMAPPTQQ7BarZg7dy6am5sxevRobN68GUqlMuJ14RgLNqWPRJvJZIJarYbRaPSZAEdim83hwsffngo6QRYApl6WS7lqSI+Z2+w4eKIBzecF50IBD4NyklCQqer2cAdjDIcqmnGkognO83aXVsmEGDtMh1S1pMd1J5EVjc+MjnucOHoaSmX372E2mzBoaG5cfr5RzxIhEdBktoUMlACg3milYIn0iMXqwH8O1MDl8n3BOZxuHNE3weF0Y0he9/Yy5DgOwwuSUZSTBENTGxwuN5QyIVJVkl5ZYURIvKBgiZAICPdjhEcfOKSHjlc2w+ViAecXnahqQZ5OCYm4+2/vQgEPOemKbj+f9E89naQdzwE3TfAmJAJSwpwvotVIo1Ab0l85XW7UNlpCLlo7U98alfqQxBKp1AHxiIIlQiJAKOBhcHZSwPMcgOw0OZQyUdTqRPofu8MVcriX44B2G6WqIJHHReBPvKJgiZAIGTkwBdmpcgC/DMt1/L9GKcbYoZFPlEYSi1AQxrJ9BohFtLyfkEiiOUuERAifx+FXIzJgaGrDyRoTWq0OSEV8FGSokJOmAK8Hy7oJATw9mLoUGc42tgUcimMAstLk0awWSRA9HUqL52E4CpYIiSCO45CRIkdGCn1Ykd4xOFeD+mYrXG7/4VJ+hhIyiTDKtSKJIo7jnR6hYThCCIkjKrkIY4dnQCH1DYh4PA6DcpJQTIkjCYk46lkihJA4k6QUY9zFWWgx29BqdYDP5yE9SQqBgL7/kl6UwONwFCwREocYY3Gds4T0HMdx0Kgk0KgoqzaJDg49G4aL53csCpYIiRNuN8PuiiZ8d6IeBmM7+DwOwzJVuHpIOnJpjhQhhPQaCpYIiQNuN8Pq7ytQfsYIDp4VT043w6FqI8qrjfj1mHyMzEnq41oSQvq1BO5aogFuQuLAD/pGlJ8xAoDPknE3AxgD1v1QidZ2Z99UjhCSELgIPOJVzARLS5cuBcdxWLhwoffYk08+iaKiIsjlcmg0GlxzzTX44YcfvOebmppw3333YciQIZDJZMjNzcWCBQtgNBr93sNms6G0tBQcx2H//v3e4wcOHMCMGTOQk5MDqVSKoUOH4rXXXvN57pNPPundF+f8h1zuO/zxzTff4JJLLoFEIsGAAQPwl7/8peeNQxLetz/VBz3vGaJrjFJtSCS4GYO5zQ6TxR4wDQAhJDbExDDc7t278dZbb2HEiBE+xwcPHozly5djwIABsFqteOWVVzBx4kScPHkSaWlpqKmpQU1NDV566SUMGzYMlZWVmDNnDmpqavDRRx91us9DDz2EzMxMHDhwwOf4nj17kJaWhjVr1iAnJwc7d+7E7373O/D5fMyfPx8A8Pvf/x5z5szxed6ECRNw6aWXen/W6/WYOnUqZs2ahTVr1uA///kP5s6di7S0NEyfPj1SzUUSjNPlRp3ZFrLcmWZrFGpDeooxhp/OGHH8dAusds+2JCIBD4VZagzL14S1xyAhfSGRN9LlGAu101Dvam1txcUXX4wVK1bg2WefRWlpKV599VW/ZU0mE9RqNb7++mtMmDDBb5kPP/wQv/71r2GxWCAQ/BIL/utf/8KiRYvw8ccfo7i4GPv27UNpaWnAes2bNw9Hjx7F1q1b/Z4/cOAASktLsWPHDlx11VUAgMWLF+Ozzz7D0aNHveXmzJmDAwcOYNeuXSFawvd3NBqNUKlUYT2H9G9uN8Pijw4E3TyVxwEX5WowY3Re1OpFuo4xhh+P1+NUrdnveZ1GiqtGZFC2dxK2aHxmdNzj9M81UCm7fw+T2YTcgZlx+fnW58Nw8+bNw7Rp03DNNdcELWe32/HWW29BrVZj5MiRAct1/CWcHyidPXsWs2bNwurVqyGTycKql9FoRHJycsDz77zzDgYPHuwNlABg165dmDhxok+5SZMm4ccff4TD4fB7HZvNBpPJ5PMg5Hw8HochOiWCfX66GTA0o+dvPrUtVuypaML+081obff/mg3mTKMFn/1YhTc3H8ebW47jX/urcdZIPV4dGoztAQMlADA0W1FZ1xrFGhESvo40Sz15xKs+HYZbv3499u7di927dwcs88UXX+C2225DW1sbMjIysGXLFqSmpvot29jYiGeeeQazZ8/2HmOMYebMmZgzZw5GjRqFioqKkPXatWsXPvjgA3z55Zd+z9tsNqxduxYPP/ywz3GDwQCt1nezVK1WC6fTiYaGBmRkZHS61tKlS/HUU0+FrBNJbFcXpeOYwf+HLI8D1FIhSrLU3b5+Y6sNH/z3NKqa2nyue0l+Mq4rzYKQH/p71e6fG7DjaB04zjPpHACOVhtx5IwRk0dmophW6+HnGpNP+/hzstqIAp0yepUihITUZz1LVVVVuP/++7FmzRpIJIGTqpWVlWH//v3YuXMnJk+ejFtvvRV1dXWdyplMJkybNg3Dhg3DkiVLvMdff/11mEwmPPLII2HV6/Dhw7jxxhvxxBNP4Nprr/VbZsOGDTCbzfjNb37T6dyFY7Ido5yBxmofeeQRGI1G76OqqiqsepLEUpiuxK2jcny+nXW8olRSIWaPK4QgjIDGH5PVgb9sO4Hq5jaf424G/KhvwnvfVyLUaH11Uxt2HPX8uzy/aMd/bzpQg6bW0POu+juTxR40UAKA1rau9+gREh2Jux6uz3qW9uzZg7q6OlxyySXeYy6XCzt27MDy5cths9nA5/Mhl8tRWFiIwsJCjBkzBoMGDcLKlSt9gh+z2YzJkydDoVDgk08+gVD4y55JW7duxffffw+xWOxz/1GjRuGOO+7AqlWrvMeOHDmC8ePHY9asWfjjH/8YsO7vvPMOrrvuOuh0Op/jOp0OBoPB51hdXR0EAgFSUvzv1yQWizvVjRB/LhuQgsE6JX441YjqFiuEfB6GZaowMjup24ESAHz3Uz3a7C6/H+IMwLFaEyoaLChIUwS8xl59U/AeEw44UNmMsmJdgAKJQSTkhyxDW5aQWJXAu530XbA0YcIElJeX+xy7++67UVRUhMWLF4PP9/+mwhiDzfbLN1STyYRJkyZBLBbjs88+69RLtWzZMjz77LPen2tqajBp0iS8//77GD16tPf44cOHMX78eNx111147rnnAtZbr9dj27Zt+OyzzzqdGzt2LD7//HOfY5s3b8aoUaN8AjhCuitJJsKkks7DuT2xp7IpaG8HjwP2nW4OGiydabIEvQZjnvlMiS43XYGzQVYtcgDytYHbmRDSN/osWFIqlSgpKfE5JpfLkZKSgpKSElgsFjz33HO44YYbkJGRgcbGRqxYsQJnzpzBLbfcAsDTozRx4kS0tbVhzZo1PhOk09LSwOfzkZub63MPhcLzRjRw4EBkZ2cD8ARKZWVlmDhxIhYtWuTtHeLz+UhLS/N5/t/+9jdkZGRgypQpnX6nOXPmYPny5Vi0aBFmzZqFXbt2YeXKlXjvvfci0GKERB5jzLt8PRA3Q8iEl7wwvjLG87LhC7lcblitDjAGiMV8iEThvZXmahU4eroZFquz0+pGDoDwXAoBQkhsiYk8S/7w+XwcO3YMq1atQkNDA1JSUnDppZfi22+/RXFxMQDPUF5HksrCwkKf5+v1euTn54d1rw8//BD19fVYu3Yt1q5d6z2el5fnMyHc7Xbj3XffxcyZM/32fBUUFGDjxo144IEH8MYbbyAzMxPLli2jHEskZnEcB7lYAIstcDDUMYE8mPw0OQ6fMQbsXeIAFKR3rceEuZlnw2Bez3K7+F6UAU63JwIEPL8cn4egSw19ns7Q2GBBS4vV53eVSoXQapUQioIPswn4PJSVZuHb8lq0tNq9wxKMATKJAFcO10Eqjtm3ZZLgOPRwGC5iNYm+Ps+zRHxRniUSbZsP1eKb43VBh9Hmjh+E7OTAaTfqTe1YveNUwFxQfB6H/1dWCGWIoAsAnA4X7G0OuJxu7zGhRACxVAiuJ/mHXG7A4fZ/TsDzPEIw1JpgDpAglM/nkJungUAQel4SYwwNxnacbfYEXalqMXTJsn7V+0aiI5p5lqr1tT26h8lkQlZBRlx+vtFMQkIS3JWD0qCWCgN2rpTmaoIGSgCQppJgykVZnSaAcvAESv9nVE5YgZLD5oTVZPMJlADA0e6ExdgO1t1tQRgLHCgBvr1NAbS3OwIGSgDgcjE0N4WXU4rjOKQlSVFSkIzhA5KRkSKnQInEPC4Cf+IV9fcSkuBkYgHmlA3Cp3vP4FjtL0lRRXwexham4powV7ANzVIjI0mKA5XNqGq0gMdxyEuTY0SuJqxAibkZ2lvtQc/brA5I5KKw6uPDFUaQ5XQDQYbRzKbQqQ9MpnakplHgQ/qpnq7+j+N/FhQsEUKgkgrxmysK0NJmR22LFXweh7xUOcRhDCmdL0kuwrhh2tAF/XDYg08iBzw9TGKZsOvBiCtIr1KHED1LTmfoa7jdDIzF9xJpQkhnFCwRQrySZCIkybrRcxMB7nB6f+DpYeL40Y9Gwsl/5NloNAqVIaQPJHDHEs1ZIoTEhnCDjG4NcYUzMTzEu6FSFTp5rFotoSE40n8lbgJvCpYIIbFBEEauIr6A170VceFkxQ6RBV0iEUKpDBww8fkcNBppV2tGSNxI5AneFCwRQmICX8ADXxj8LUkUxkRxvzgOCHZtAS9ksAQAWp0SSRppp14wiUSA7BwNBGFsZ0IIiT80Z4kQEjOkSjGsZhtcfpb5SxQiCEIkfQyKz/METS73L6vjeJwnUAqzt4rjOKSlKZCcLIO1zQHGGERiAcSUSJIkANobjhBCYgDHcZCpJHA53XDanWAM4PE5CEWCniWk7MDjAB4f6OFWjXw+D4ogQ3KEkP6FgiVCSMzhC3jgC/pmVR4hhFyIgiVCCCGEhORJjdH9Ht54XilKE7wJIYQQQoKgYIkQQgghJAgahiOEEEJISLQajhBCCCEkCNruhBBCCCGE+EU9S4QQQggJLYHH4ShYIoQQQkhIiTwMR8ESIYQQQkJL4GiJgqUYw5hnzyqTydTHNSGEEBLrOj4rOj47+rOlS5fi0Ucfxf33349XX30VgOf3fuqpp/DWW2+hubkZo0ePxhtvvIHi4uKI3puCpRhjNpsBADk5OX1cE0IIIfHCbDZDrVb36j24c3968vzu2r17N9566y2MGDHC5/iLL76Il19+Ge+++y4GDx6MZ599Ftdeey2OHz8OpVLZ7ftdiIKlGJOZmYmqqioolcqIp4Y3mUzIyclBVVUVVCpVRK8dT6gdPKgdPKgdPKgdPOKtHRhjMJvNyMzM7PV79dX87tbWVtxxxx14++238eyzz3qPM8bw6quv4rHHHsNNN90EAFi1ahW0Wi3WrVuH2bNnd7+yF6BgKcbweDxkZ2f36j1UKlVcvAn0NmoHD2oHD2oHD2oHj3hqh97uUYq0C6eZiMViiMXigOXnzZuHadOm4ZprrvEJlvR6PQwGAyZOnOhzrXHjxmHnzp0RDZYozxIhhBBCoiYnJwdqtdr7WLp0acCy69evx969e/2WMRgMAACtVutzXKvVes9FCvUsEUIIISSkSA3DXTjEGahXqaqqCvfffz82b94MiUQS5Lq+lWKMRXwaCwVLCUQsFmPJkiVBuzsTAbWDB7WDB7WDB7WDB7VD7wt3iHPPnj2oq6vDJZdc4j3mcrmwY8cOLF++HMePHwfg6WHKyMjwlqmrq+vU29RTHEuE9YaEEEII6RaTyQS1Wo0WQ2OP5nGZTCYk6VJgNBrDuo7ZbEZlZaXPsbvvvhtFRUVYvHgxiouLkZmZiQceeAAPPfQQAMButyM9PR0vvPACTfAmhBBCSHRFezWcUqlESUmJzzG5XI6UlBTv8YULF+L555/HoEGDMGjQIDz//POQyWS4/fbbu19RPyhYIoQQQkhIPU2W3BvJlh966CFYrVbMnTvXm5Ry8+bNEc2xBNAwHCGEEEKCaG9vR0FBQURWmOl0Ouj1+qATtmMRBUuEEEIICaq9vR12u73H1xGJRHEXKAGUZymm5Ofng+O4To958+Z1Kjt79mxwHOfdH6eDzWbDfffdh9TUVMjlctxwww04c+aM3/vZbDaUlpaC4zjs37/f59zu3bsxYcIEJCUlQaPRYOLEiZ3KlJeXY9y4cZBKpcjKysLTTz8dkf2JYqkd/v3vf+Pyyy+HUqlERkYGFi9eDKfT6VOmN9ohWm3g7z4PP/ywT5nTp0/j+uuvh1wuR2pqKhYsWNDpTTPeXwvhtMP999+PSy65BGKxGKWlpX7r29/b4cCBA5gxYwZycnIglUoxdOhQvPbaawnXDo2NjZg8eTIyMzMhFouRk5OD+fPndxpm6q126AsSicS7iq0nj3gMlAAAjMSMuro6Vltb631s2bKFAWDbtm3zKffJJ5+wkSNHsszMTPbKK6/4nJszZw7LyspiW7ZsYXv37mVlZWVs5MiRzOl0drrfggUL2JQpUxgAtm/fPu9xk8nENBoNmzlzJjt27Bg7dOgQmz59OktPT2d2u50xxpjRaGRarZbddtttrLy8nH388cdMqVSyl156qd+0w4EDB5hIJGJPPfUUO3HiBNu+fTsrKipiDz74oLdMb7VDtNogLy+PPf300z73MpvN3vNOp5OVlJSwsrIytnfvXrZlyxaWmZnJ5s+f3+ttEEvtwBhj9913H1u+fDm788472ciRIzvVNRHaYeXKley+++5j27dvZz///DNbvXo1k0ql7PXXX0+odmhqamIrVqxgu3fvZhUVFezrr79mQ4YMYTNmzIhKO5Doo2Apht1///1s4MCBzO12e4+dOXOGZWVlsUOHDrG8vDyfN4KWlhYmFArZ+vXrvceqq6sZj8djX331lc+1N27cyIqKitjhw4c7BQm7d+9mANjp06e9xw4ePMgAsJMnTzLGGFuxYgVTq9Wsvb3dW2bp0qUsMzPTp76R0Fft8Mgjj7BRo0b5lP/kk0+YRCJhJpOJMRa9duitNrjweRfauHEj4/F4rLq62nvsvffeY2KxmBmNRsZY/3gthGqH8y1ZssRvsJRo7dBh7ty5rKyszPtzorbDa6+9xrKzs70/R7MdSO+jYbgYZbfbsWbNGtxzzz3eTKRutxt33nkn/vCHP6C4uLjTc/bs2QOHw+GzT05mZiZKSkqwc+dO77GzZ89i1qxZWL16NWQyWafrDBkyBKmpqVi5ciXsdjusVitWrlyJ4uJi5OXlAQB27dqFcePG+SRumzRpEmpqalBRURGpZujTdrDZbJ26jKVSKdrb27Fnzx4A0WmH3mwDAHjhhReQkpKC0tJSPPfccz5DbLt27UJJSYnPJp2TJk2CzWaLahsAfdsO4UjUdjAajUhOTvb+nIjtUFNTgw0bNmDcuHHeY9FqBxIdFCzFqE8//RQtLS2YOXOm99gLL7wAgUCABQsW+H2OwWCASCSCRqPxOX7+PjmMMcycORNz5szBqFGj/F5HqVRi+/btWLNmDaRSKRQKBTZt2oSNGzdCIBB47+VvP56Oc5HSl+0wadIk7Ny5E++99x5cLheqq6u9mzjW1tZ679Xb7dBbbQB45uGsX78e27Ztw/z58/Hqq69i7ty5Pte58PfTaDQQiUTe68T7awEI3Q7hSMR22LVrFz744AOf5H+J1A4zZsyATCZDVlYWVCoV3nnnHZ97RaMdSHRQnqUYtXLlSkyZMsX7jX7Pnj147bXXsHfv3i7vecPO2yfn9ddfh8lkwiOPPBKwvNVqxT333IMrrrjCGyi89NJLmDp1Knbv3g2pVArA/348/o73RF+2w8SJE/G///u/mDNnDu68806IxWI8/vjj+O6778Dn873lersdeqsNAOCBBx7w/veIESOg0Whw8803e79VA/5/jwuvE8+vBSC8dghHIrXD4cOHceONN+KJJ57Atdde63MuUdrhlVdewZIlS3D8+HE8+uijWLRoEVasWOE9H412INFBPUsxqLKyEl9//TV++9vfeo99++23qKurQ25uLgQCAQQCASorK/Hggw8iPz8fgCd/hd1uR3Nzs8/1zt8nZ+vWrfj+++8hFoshEAhQWFgIABg1ahTuuusuAMC6detQUVGBv//977j00ksxZswYrFu3Dnq9Hv/85z+997rw21FdXR2AzjtAx2s7AMCiRYvQ0tKC06dPo6GhATfeeCMAoKCgICrt0Jtt4M+YMWMAACdPngz4+zU3N8PhcHivE++vBX8ubIdwJFI7HDlyBOPHj8esWbPwxz/+0edcIrWDTqdDUVERbrzxRvz1r3/Fm2++6e11jkY7kCjqg3lSJIQlS5YwnU7HHA6H91hDQwMrLy/3eWRmZrLFixezY8eOMcZ+mbz4/vvve59XU1PjM3mxsrLS5xqbNm1iANhHH33EqqqqGGOMLVu2jOl0Op9JiA6Hg8nlcrZ27VrGmGfyYlJSErPZbN4yf/rTnyI6ebGv28Gfxx9/nOXk5HhXzvR2O/RmG/jz+eefMwCssrKSMfbLBO+amhpvmfXr13ea4B3Pr4Vw2uHCugSa4J0I7XDo0CGWnp7O/vCHP/h9TqK0w4V27NjBADC9Xs8Yi047kOihYCnGuFwulpubyxYvXhyyrL8VG3PmzGHZ2dns66+/Znv37mXjx48PuGSeMcb0en2nVWBHjx5lYrGY3XvvvezIkSPs0KFD7Ne//jVTq9XeD82Wlham1WrZjBkzWHl5OduwYQNTqVQRWxYbC+3AGGMvvvgiO3jwIDt06BB7+umnmVAoZJ988on3fG+2Q2+3wc6dO9nLL7/M9u3bx06dOsXef/99lpmZyW644QbvNTpSB0yYMIHt3buXff311yw7O9sndUC8vxbCaQfGGDtx4gTbt28fmz17Nhs8eDDbt28f27dvn/fDMBHa4dChQywtLY3dcccdPsvq6+rqvGUSoR2+/PJL9re//Y2Vl5czvV7PvvzyS1ZcXMyuuOKKqLUDiS4KlmJMRw/H8ePHQ5b190ZgtVrZ/PnzWXJyMpNKpey6667zSQFwoUBBwubNm9kVV1zB1Go102g0bPz48WzXrl0+ZQ4ePMiuuuoqJhaLmU6nY08++WTEvjHFSjuUlZUxtVrNJBIJGz16NNu4cWOn5/ZWO/R2G+zZs4eNHj3a+/sNGTKELVmyhFksFp/rVFZWsmnTpjGpVMqSk5PZ/PnzfZZDMxbfr4Vw22HcuHEMQKdHR08CY/2/HZYsWeK3DfLy8nzu1d/bYevWrWzs2LHeMoMGDWKLFy9mzc3NPvfqzXYg0UXbnRBCCCGEBEETvAkhhBBCgqBgiRBCCCEkCAqWCCGEEEKCoGCJEEIIISQICpYIIYQQQoKgYIkQQgghJAgKlgghhBBCgqBgiRASE66++mosXLiw1++Tn58PjuPAcRxaWlp6dK2rr77ae639+/dHpH6EkNhDwRIhxMfMmTO9AcD5j8mTJ0fk+tu3b/cbqGzYsAHPPPNMRO4RytNPP43a2lqo1eoeXWfDhg3473//G6FaEUJilaCvK0AIiT2TJ0/G3//+d59jYrG4V++ZnJzcq9c/n1KphE6n6/F1kpOTYTKZIlAjQkgso54lQkgnYrEYOp3O56HRaLznX375ZQwfPhxyuRw5OTmYO3cuWltbvecrKytx/fXXQ6PRQC6Xo7i4GBs3bkRFRQXKysoAABqNBhzHYebMmQA6D8Pl5+fj+eefxz333AOlUonc3Fy89dZbPvXcuXMnSktLIZFIMGrUKHz66afdGhJ79913kZSUhC+++AJDhgyBTCbDzTffDIvFglWrViE/Px8ajQb33XcfXC5X1xqTEBL3qGeJENJlPB4Py5YtQ35+PvR6PebOnYuHHnoIK1asAADMmzcPdrsdO3bsgFwux5EjR6BQKJCTk4OPP/4Y06dPx/Hjx6FSqSCVSgPe589//jOeeeYZPProo/joo49w77334le/+hWKiopgNptx/fXXY+rUqVi3bh0qKyt7NOepra0Ny5Ytw/r162E2m3HTTTfhpptuQlJSEjZu3IhTp05h+vTpuPLKK/E///M/3b4PIST+ULBECOnkiy++gEKh8Dm2ePFiPP744wDgE5QUFBTgmWeewb333usNlk6fPo3p06dj+PDhAIABAwZ4y3cMt6WnpyMpKSloPaZOnYq5c+d67//KK69g+/btKCoqwtq1a8FxHN5++21IJBIMGzYM1dXVmDVrVrd+Z4fDgTfffBMDBw4EANx8881YvXo1zp49C4VCgWHDhqGsrAzbtm2jYImQBEPBEiGkk7KyMrz55ps+x86fU7Rt2zY8//zzOHLkCEwmE5xOJ9rb22GxWCCXy7FgwQLce++92Lx5M6655hpMnz4dI0aM6HI9zn8Ox3HQ6XSoq6sDABw/fhwjRoyARCLxlrnsssu6fI8OMpnMGygBgFarRX5+vk/QqNVqvfcnhCQOmrNECOlELpejsLDQ59ERLFVWVmLq1KkoKSnBxx9/jD179uCNN94A4OmdAYDf/va3OHXqFO68806Ul5dj1KhReP3117tcD6FQ6PMzx3Fwu90AAMYYOI7zOc8Y6/I9gt0r2P0JIYmDgiVCSJf8+OOPcDqd+POf/4wxY8Zg8ODBqKmp6VQuJycHc+bMwYYNG/Dggw/i7bffBgCIRCIA6PFE6aKiIhw8eBA2m82nboQQEmkULBFCOrHZbDAYDD6PhoYGAMDAgQPhdDrx+uuv49SpU1i9ejX+8pe/+Dx/4cKF2LRpE/R6Pfbu3YutW7di6NChAIC8vDxwHIcvvvgC9fX1PqvouuL222+H2+3G7373Oxw9ehSbNm3CSy+9BACdepwIIaQnKFgihHTy1VdfISMjw+dx5ZVXAgBKS0vx8ssv44UXXkBJSQnWrl2LpUuX+jzf5XJh3rx5GDp0KCZPnowhQ4Z4J39nZWXhqaeewsMPPwytVov58+d3q44qlQqff/459u/fj9LSUjz22GN44oknAMBnHhMhhPQUx3oyyE8IITFk7dq1uPvuu2E0GgOmJMjPz8fChQsjtrVKRUUFCgoKsG/fPpSWlkbkmoSQ2EI9S4SQuPWPf/wD3333HfR6PT799FMsXrwYt956a9DcTYAnDYFCoYDRaOzR/adMmYLi4uIeXYMQEvsodQAhJG4ZDAY88cQTMBgMyMjIwC233ILnnnsu6HO++eYb76o9pVLZo/u/8847sFqtAIDc3NweXYsQErtoGI4QQgghJAgahiOEEEIICYKCJUIIIYSQIChYIoQQQggJgoIlQgghhJAgKFgihBBCCAmCgiVCCCGEkCAoWCKEEEIICYKCJUIIIYSQIChYIoQQQggJ4v8DGk8o+anjb2cAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -630,6 +630,13 @@
     "\n",
     "If you don't feel comfortable with these, you are probably not alone, let's discuss it!\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -648,7 +655,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
index dcdf0cf..cb83fce 100644
--- a/book/tutorials/snowex_database/5_plot_raster_example.ipynb
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -24,16 +24,16 @@
      "output_type": "stream",
      "text": [
       "   depth site_id            pit_id  bottom_depth comments sample_a sample_b  \\\n",
-      "0   67.0     1N3  COGM1N3_20200211          57.0     None     None     None   \n",
+      "0   67.0     1N3  COGM1N3_20200211          64.0     None     None     None   \n",
       "\n",
-      "  sample_c  value flags  ...        date                     time_created  \\\n",
-      "0     None  242.5  None  ...  2020-02-11 2022-06-30 22:28:50.782395+00:00   \n",
+      "  sample_c   value flags  ...        date                     time_created  \\\n",
+      "0     None  < 1 mm  None  ...  2020-02-11 2024-08-13 17:45:41.685272+00:00   \n",
       "\n",
-      "   time_updated     id                                   doi  date_accessed  \\\n",
-      "0          None  12277  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
+      "   time_updated       id                                   doi  date_accessed  \\\n",
+      "0          None  2147814  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
       "\n",
-      "  instrument     type units observers  \n",
-      "0       None  density  None      None  \n",
+      "  instrument        type units observers  \n",
+      "0       None  grain_size  None      None  \n",
       "\n",
       "[1 rows x 29 columns]\n",
       "[datetime.date(2020, 2, 2), datetime.date(2020, 2, 13)]\n"
@@ -41,7 +41,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -55,7 +55,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -83,19 +83,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<open DatasetReader name='/vsimem/7796b651-2ab2-408a-ba12-07a0e8a9637b/7796b651-2ab2-408a-ba12-07a0e8a9637b.tif' mode='r'>\n"
+      "<open DatasetReader name='/vsimem/a5c827f3-b18d-4ed8-9776-21fb75877c64/a5c827f3-b18d-4ed8-9776-21fb75877c64.tif' mode='r'>\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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dvkjjtu1LwOEqszLtAklKIbXuoXaBRCb1SV7UBG4Y8HcLssjUp7A2DlgCmu7QlM7BwcHBweEswUmRlL179+Kd73wnPv/5z6NUKp3Ugb70pS+h3W7jq1/9Kt797nfjOc95Dt7whjc8abtbbrkFf/EXf4E777zzmMf4+Mc/jte+9rXYtGnTcY9544034jd+4zdWfm61Wti6detJrfuYWCwxA9IPmI+KAyMLtSEzIx0hEPsafP1wje/TDp/6gESjEjMT87wZ7nsQmPdKIaVeRU3f1rdJclLfuooaA7Ht99kVVBtK6zL4fScC4jq8Q38EjPeRb3/XqbkGDg4ODg4OzyBOSpPy2c9+Fv/kn/wTBEGw8lqapvA8D77vYzAYrPrdsXDzzTfjU5/6FB566KFVr9966624+eab8YUvfAHXXnvtmu/dvXs3LrjgAvzVX/0VfvInf/JElw7g1GlSFN7dH7dsSe6xhXisbxqRXkjy0ikwkzLVJfnwxcQtB0tCY30SjX0Nimc3LjMLoqWk5QKJTUU7hFJ2/hQTim4nesCc/DwISXj0dzlYXpro8T05gOYA+YW/9gOfv4ODg4ODw8niZGLxSWVSXvWqV+G+++5b9doNN9yASy65BL/1W791QgQFAPI8x2AwWPXa+9//ftx888343Oc+d0yCAgCf+MQnsG7dOrzuda87maU/M+iLSBWwzhzVjexpUmOi9vYqmG0MzOhtEHKQYKtoDrO+aE5UCLtYWj11WTuDJnoyDygloakNSWp2LrJstLPLnzPxY+mIcHeiR3v9h/8QSHzkz3uWW7gdHBwcHBxOECdFUur1Oi6//PJVr1WrVUxOTq68fuONN2L//v244447AAAf+tCHsG3bNlxyySUA6Jty66234h3veMfKPm655Rb89m//Nj796U9jx44dOHToEACgVquhVqutbJdlGT7xiU/gTW96E8Lw9Jvl5q98E7x/+CQzFx5IBnKZhhyKC20vIgmZ7JF8HKmyTJR7ZqnfADMmPbHSbxf4urYX72+Q3IgfCnoR25JHSU9tyKzNTIWZllYRuHiOJaZ2ARiKpuVIlULbcgI8MQbv7z8JjPVdy7KDg4ODwxmHUx7pDx48iD179qz8nGUZbrzxRuzatQthGOLCCy/E7/3e7+Gtb7Wg+OEPfxjD4RCvf/3rV+3rd37nd3DTTTet/PyFL3wBe/bswS/90i+d6mU/fUTSsdOJgCKY2ehG/F1tCMyHLLfsrwPrOvx+pkJSE4t+pTZkKehAna9pW3JjwOyKtipHKbMpY30SFRXuAkaSOgUSm0EIfH/KhhUWpb25mAALJa5jfZtrbRfgffuPnL2+g4ODg8MZhaflk3K24lRrUgDQjr6UkDx0I7O1zzxmO+LAMh6Jz7LN+g637UY2XLAXkmAUE+4j9fl9NebvtMU5Dkg6qkNmYnSIYSFlq3PskzQtlmgyl3skONWhebOM9YFHJ0TcW6CAN/O47yADUh/5VY6wODg4ODicejzjPikOhvy5b2eGo5xY2aU25PcHGiQBmYhquxHLPnOSKck8m/kTC9EY6/O1SmxeKR4oeu2H/F0vpA5lrsJFqLV+6pHMVGIKcqOUephmn9up4RzANS6V2EnUKnL9Xr6ii/Ee/4+n5Xo6ODg4ODgoHEk5FUgk63HBAks6UcbXy7FlNpoDKwsNA36txJY5qQ35nsxj9kQnKM9WSCSUBPk5ic5YnyJY9U2JMnOjHQQkLD74exXlFkSr0inwWOvbJDj9UFqYcxMDtwvwvvNH8B50gwsdHBwcHE4PXLnnFME7fCvLO4UUWCibadtiyTxTADNo8+Sy6wDCVPQlWs7xcrPJ1wzLIGQWRucAre9whlAm05PH+yQovchs9KOUpEQnL9eG/H0sc4N6EUs83YguuYerXA+wUvrR7Ev+grec0mvm4ODg4HD+wZV7Tgd2N4G9TX4/3gO2tIAL5/l1EJBEBLnY4He4XerzdS3phBlQEg2KByMo7QKnH7cLJDKNAX9/UDqf/JzHWSqSAOUQR1uf7wGoRdFj1kf0MXpsgKSkGvM1PyfpCTKSm+UCvK9+DN7XPvasXE4HBwcHBwdHUk4R8hf9MknD96bpkTJXYYZjocQsRVHIxuLIz0HGMk4cWGYl9UkUFkvMmHQjEcz6/HmxxJJNL+Tr7YKJZ6tDc7EtJdyftjHHgelgFkv288oJeGxXzjwjR35uzrVl2V/qwXvsPz17F9bBwcHB4bzF6TcbOZfQLpi+pJQwsxHk1IuoSDbI2IVTFbM2LeUslEgIytIiPAj4s5KX3AMG4OuDUBxopf1YW5obfSvPzJfZ1jwQMtOTrqMcPN5ygWQmVuGukJEg4/cFKSHlHtea+Pw+SoGDNXizHwMyD/lL/sVpuNAODg4ODucDXCblVCLISQT6IbMRiyVqSFS4OiqOXSxxGxWr5tKZM5TBhKWE26dyi1Rku65DkqGDDYdCZlKPWhglI3U5Vpix/ATwGMtFbldJSFhin4SllDALE2YkPDlkeGFuRCfMSGqaA3YPeTm8r9/OAYYODg4ODg6nGI6knELkr/7nUsbJLeMB8PtiQkKSiWbEg2QnQCJQH0h7coWv6zyfSkwSs1wgqanEbCtWIjLZM/FtlPGYhZT7nC+TaDQH3DbMuF8V5ebSLTTVtZNYKNsE50iGH5ZjvjeV1zJqVFYyQcUE3jf/GN73PnQarrqDg4ODw7kKR1JONboRA3ljwNJJbchySSY2+Klv5ECzKJ2CZS2G0p2T+CzjAMxy6Hu0hXisT3KhxCfMTBw7WzEhrs7/CTL+XExIZjRDE2Y2bRng/nRgorY1q65loifEqMuvSo5GtC7eP3zyWb/kDg4ODg7nJhxJOcXIX/EmM0zTwJ/6JA1qpubnlqVIfSuxzFasg+dI1dxqw4zZjEpM4qDk5nDVhgjGPsmLZkkG0sqsJnLDwMpQOSwjo+3PQxHSlmMSkuqQr2feiP9KSOIUB9xua4ukR0W6opHx/ven4H3rj5/tS+/g4ODgcI7BCWefCRTTEbIQmsYj80gKPHGIrQ+ZnVgskYj0Q763KX4nmqUAjNj0Q34NcmZTAJKDdoHb1If0ZAnFUE4JhgeWlAAT3i6WOOww9fhap8DMTzExbU0hsTUkklXJwTlD9SH3P9Hj+/WYgxA4UoX3xU8AwwD59W98dq67g4ODg8M5BZdJeSYQ+9SBKEE5UmXA39oiOViS9mJ1ni0mFLeWYysN1WXGzpaWaVNGW4aXCyQmatwGkIzMVvjaQLI2xcR0JMPAjOZmpZS0v25Tm7XcpK3POkNoEFiZCjDPFxXl7mvwOIAQpQGwucVzGO87rYqDg4ODw9OCIynPAPJr30IS0I3YhlxIrQNnssdsxVhfbPMDdux0I3beNAf8nQpchz6DfTXm78qx2eMXUzOKU9+TgZAMT7IwxdT0J6pNUYv8vkxobhdIhOoytFDJyDDgfuOAr+vsIMDM4A7VbDhh6nGNhdTKUgXONfIe+UNnBOfg4ODgcFJw5Z5nCo2BZSti3wSsqc/Mhi9ZC53JE4rvySBgliSUAD8MgEWxsd+0zPetEBFYiSX1gFyOUx0CJTnesuhUGgNbRyREJRLflFQ8UVpFblcQoa4OSqzEtnaAmSAvZ3kozEh8CimFvOqWWx2SeOn8Ihma6H3l44CfI3/xm0/DTXFwcHBwOJvgMinPEPKL3sHgP+rculQy4awOEpzqUucxCLm9B6Ar3T69iMRhEJAwaGtyJaZlfTEhyYky/qyma6m/mpw0BiQjhdTakCE/q6h2qcjXOhGPv1gyA7d2wbQomrlZKslgw9QIlg4nLCaru5w8SOlLzj3I4H33I05c6+Dg4OBwXLhMyjOJTsGmICs5GQYM3vUh9Rx9GUIYi7g19i07kvjcZiDlnDwhifDA7MWEeKTsbZJANAd2bLXdn6naAMLCiMNslMlaRFeSSmmonPD3VVgnkE55LknWp5ACkXQd1YbcZ5hxW8AM5gDuC+AxuhG/BnItwgzevj9AvuU3no274eDg4OBwlsGRlGcQ+T/6BXj33G6ZhUxKKIdqJASakVC9SmVEb1JIAE9KOrlHMapOUk791R08OxeZ7TgsAt1SAnSktDPdIVFYKhpBSnwjLR6szXlP08hT7gHVLtCWY/bleOWE71d9jJaA1JFW3XOLCc8R4HrCjMLhHCRGvXDFddfb9wfsArrgnc/ezXFwcHBwOOPhSMozDRWweuC/ckIyMi8W9mXJUGhpRUsixZTW9doevCR6kWEA9MWzZCngdg9N8ncTPRKg1DdfFM181IckK6n4qYTiFjve47bF1Jxn+yH3V0xtIGKUmsZEfVp0grPqahLxVEk9a4mOMh43EGISSfZlIBmdIKfLbqsIb98ngEpM4bGDg4ODw3kPR1KeacxVrEwSpSQnEz2SBZ1uHOTmCBtHDPSzFRtUOJDOHdWBaCfyZM8caiPRmlRj6lFUXKvZm9i37Ia2G2vXUZhxxtBASMcw4DqjzMS7munxc6AYm9GbZnOCDOgVzA8m94B+AORSdlK/lg1tG4wYZSQzAH8XZEBzAG/uFmC8h9z/nWf7bjk4ODg4nEFwwtlnGPk/+gVmHBKf5MST7IK6tKogNZS5O72IJEN9TdpigR9m1gZcSIH1bb6utvWdCHhswsopDRkCWI5X2oBXSMd4T1qcYWRJ247Vc8XPua9hQEGulnmCzEpN6zr2eqdgVvoV8XsZ6/NYtSH31S4A+xvMzgB0vG32uaZ1HZ5Hs8/X/Rwebno2b5WDg4ODwxkGl0l5NhClNv9mrA88Ps7XW0VmPnLwd+vbQFZnFiQW8Wk5IQFIhEyMusvqxGPVlADMtmh5J8zovaIOuKp5KSckQqkMOxyG5m6betxvmJsZnJ+TdHg5W5vDnOutxCQmg4A/96WDB5AuHnHFjaU7qStTn9X6X0nYQonr3bkIZKsvnRKV3BEWBwcHh/MOjqQ8C8hf+SZ4D91GEnCgbt02cxUAXf7cjZhlKIklvSdZj07BtBypzOiZ6JFoLBWlrBIy2BdTc37VDAlAMlRKgFTm9Oxuct+NAUmDB5KLQQDMVa1rR1GO+XPqW3YEoHttKF1GatevrcaDEBj4QFzj2rVNWTt7osymNldja2UOjmIpAkdWHBwcHM4/OJLybKGQ0oJ+GJAMzFatxFOOSSgyDwhGtCphZkRDBwaGGXCwToIx1WVHj1rUlxLr3lkuMINRHYrrrBChxsD2CTDTEqU2CVkzITrBuR9KC7RY9ytBaYuXipZ2dL9HqtznQsmM4HSqci80Z1s9TuaZn8sxCMooHFlxcHBwOH/gSMqzhHznO+Ht/xMG5bmKWdPHPtDIbGKyWtAD5j1STE0E2ylYyUS1Ic0+UPdMBFtKSBSUaDQGkrUIbFDhXIX/VLCr4tyNbcvGqAlcpyDGbRlwuGbHVq2JzhTycupgxvv8XUfM6LSt2pdOHg8kL1pKmuiRuJwEPNzkiIqDg4PDOQ5HUp5NZJ7pSlIhJdqKWxMNSZRauaQv04pTIR8eLAsSZEA9ZuaiNlzdiaMZlGFAgjFf5ntC6aZpDlhimQ/ZkaN2+NoeHPvmkltIzaF2tmIeK7qWpZINM9zQNv1Ns2+uuUM5x9jnmpt9vranyczMZO9pXU4PNwFLJeTNd/8gd8XBwcHB4QyFIynPIvIfuQHe393BH8rShlsfMICrl0g1NtM1NVrLhTzohGIACCR70ZBpy5rpUJ+SQm4dOlNdEootLSMcC2XgYM2yIEslYOOyuMmmJDOJL94oiZSpQmY/AhHk9oWcxD6zPbvGuP/akERMSz3qszJXIeHqh3xtscT1HwuPTNJ7ZfuStS0fjWbflYAcHBwczlE4kvJso5gABenKUZO36S5LI2rAloP/4oDbaTYlyNmeqwZtPWkXLsfMXhwW0qE/b26R/Fyw8OR1jPeAS2eB+9eRKIz3mGnpRCaq3bZE8jFbAR6dsA6j6lGakkXpzqkNue2RKsmWimy1lFWJgZkKSU0c8BzLxyAfALBliV/3jPEaPGf+uJfW+/5tyC95+4nfCwcHBweHMxqOpDzbUAKgLq+DgBmMKGNm40Cdr8eiEemFok3xzL22Lm6wvYi29/Uht6sNGfQ3tJn90OnDh2okDOrNoti5wO0fnCa5UH+V580wQ6KY7nD/cxXLsqi1fZiROA2kNFWVLqSxPr8uSku0EpXMI+GKfTN9OxbKMk7gubPAfeuPf11bReCJMXh7PgV4QP7qf/707o+Dg4ODwxkDL8/z/Kk3OzfQarXQbDaxtLSERqNx2tbhfeePTDOyXOT3AH+erZiOIxFtyErWJTcPlOqQZELLIEeqNERbC0tibT/VJZHw17jlsUxCbhVtNs/6tv1+GHCQ4dC3fSYjwxN1ynLmMeMT+8DmZdO1rOswS3NIhLdHqtyPnwOXzZCorQUlZ49OkHw9Mmnann4IXHGYwtu7t1qrdV/amufLyH/y50/6/jg4ODg4PHM4mVjsMimnA3sbwI/sNj3G3+9kcI1Fb+LlQG3AUpAODPRzkpPlAoWnVx9avc+xvnUAebAOneWidNWUrbNnYg2haiSze5ZKJAbDgFmdcfFk6Yc8rpKT2tD8XtT0Tb1c1Mp/QZxlMx04mFgWqVOw9mXV2awFLSt5AL673rbVNd67ieTFk+MMwhFCl8D79H9lZuUNP3Py98nBwcHB4bTC2eKfBuT/+P8GiilyaaPNX/kmZhdiyTpoJ48HEpOxPolCmFG/MkpQFsrUohypMlsyWwEemQAengT2iQX9csEM35aL3OZYuHCe5ZWNyyRNj07y9cbAXHBjf3XXkZ+bDwrAY8TS7lwVDxgPQCEz4tWJ6PEyVwYenOK/4yEVQlRMpZspNV+VtrjnetKanYqQd0MHeOEBwMvh/e4/PL2b5eDg4OBw2uBIymlCXvx3q18YhCyF9EJmOkpCStTttZQw67BVxKSLJQb2/XUb0jdfllk7MTMVcxVmbfY2rcumK/OBDtS5j3iNLEarSPIDMPDPCalRQW8pYdvwdIcESglDKeFaq0OSqyAnQQozthvPVmy2UJQB395AMrW+wwwNYMc9ej37GyQ77YLMLupw/4OA57VpmUQpzJj9aQyAaw4CF80BP38/0C7Ae+u98H71Gz/gnXNwcHBweLbgNClnELy/+QuWRDZJFmMYWLmjNqRJmmo3vitC0mLKcoefU1A7WwF2jZtOpFMw7xMlDY0BA/1Ej+RovMfttPU5DqS1OWCWRr1MhoGJcT2QmPRDvnd9mwShmHIdiyWSoX7I7cfFOr8+5O8mu8AXtwuhko6iF+8HvjdNnYna8u9rsANJtS1aXtq2xOzSIACeGLMhjLnMI+qHwIv2r7b3V7R5TVzLsoODg8OzD6dJOUuR/8QbAADefR/hC6kHZL5lKJSgKInQTqHa0NqPS4mVamYrzMR4YszWk6xJWyYWq2cJwMDeKtpQwIJ0HqnYNsiAQcFm+KhAdrrLYwY5yUhXRL9FmUFUiTlQsTHgscb7Nnvo0lngG5vYllyJ+dqWFjM36h3z4LStXzuavJzE5Hkz3H6/ZIt+8vs854emSIT+13Oo/Zno2QBGYIW4OH8VBwcHhzMbjqScgciv+FUAgLf4e2a+1pOMxBNjLI1sW6KQVduKCymJRlUmE8+VKb5dKPNn7egZCFHRAYVaigkz+qqoF0rqMevRD/meKOO+FsokCeqp0gul3Vj0KZHY9Kt1f+yz5LKvwfXPl1my6hTYsXP3Vu7DAzNIm5ZJcHoh8OVt3KdmSPQcKzJNeqJHMhJmPM6jEzzWH13LdVx7gCRrrW6mETiy4uDg4HBmwmlSzmDkYyN27+WEmpVCykxJfWA6llaRHiv7GhTNHqnKMEKZcKxzc8KMxKM0MguoG/FrlPJ9SyUG/EFos360dJT43K4+tHk8ao2/VKRgtl3gz37O7IgeY0ObpnLFRATBA+BSaaF+cIoi2v/1HJaA9HwvWLCsTjnmPgMhHP2Q652tcF9RRp1NOQFeupf7vGsr8LUtJ3y9PUdSHBwcHM4oOE3KGQ7vwO8zO9LsM+DPVNnaq260BZmVc6TK7EOQMwvS7ANdGQRYiW3AYCKakkpsmpG+TCcOMwZ8D8yWlKVlOPZJMh6cFrfbxLIzA3HIDTNmLXoRMxx9aQXuRMzQaInoWDb4t78AuG8d33v5EYpvU9GhLKggWAW5GdcfZvRf2d/gNXl8nL+74dtPNq4bRavI9TclS6Vt3iNwWRUHBweHZwYnE4tdJuVMRzW2csVSybIH/VA0K9L66+XUbJRjEoflIgO7n5OgDAMG5iA3C3sN9o2B+Zv4OV/3QJHtoRrJhw4/1JlCUWbut+ulyycW4e1cWXQqGY+n2Rx10l0LL3/Chg7evRX4xmaKg3sRyUkhJRlZLjDD8kP7eMyZKo+5aZmZlLu3Hbu8Mwitc8nPed3my8z07Bq363akCu/I++Ht+cCpv58ODg4ODicMp0k5A+DNvB/59L9e/Zo+yTdHXlwurPYGWSyxfKKTkUsJyUZtaGUa6LDC3DptcgBx0RxidXhhkDFQ67ygamxZEt1/PyTR6Ht0pc08Zmg0+5IEfD3IgAKAdWvMDVoL430Sjb1NruVgjcf72ma+/pJ93H8kHUT3ryNpCTIeb2sL+JkHgcrQLPiPhhrK6fXphyR8W5e438NVfp0rr3Qhea0PA/0Q+bVvObHzcHBwcHA4ZXDlnjMEJ6yHuH8dswtLfOJH5lnLsp+bdqMgGY/EJ9HgQUw4O6oZUfM4nYisWRMlP3qMxRKzOb2QpaDKkLk4JQW6fSjdQLUhMxfNAbM1Xv6UIlbsaQIfez5LS+oTs3MRuG4317h9EdixyPLQXJlE6uVPAFce5vsP1ViaWguJb4RLyVYn4mvDgMRPtTrang3w9W6E/CX/4kTukIODg4PDceBakM926LyatfC8GZIFLY0UZOBfIJb3SjRqQxsC2I2o7/CEmPQlW6I29gMdYgjzP8k8Ziw8EavOVUiMimKk1i5Q86LZiVTIkA4azMS2frpLMlGOuR//GFkOxbYl4OceAB5YB3xnPfDYOM/zf1zEbMl8mR1OHdHTtIrUokx1STrmy0ZScsny6HkslkiWDtWAjW2g63MbNZLrRvxZ27KVUOWga+3XbweGAfIf/qWnfWsdHBwcHE4cLpNyBsFLfpdk4UCdL2w6xtA9zWQcrDOwBhm1FIslmfsjDrWDkKLXSLIH2jqsnTmpdOtocB4GfF8kgtxywvd0I36vjrGTPRKT2Qrfp1qWoW+ak7E+iUQw8vGqxEaOxteYH7QWPvASuup2I/77uQeYEfnsJTxPXfe6DnDxHC39nzfD92ai2anERuyaMjuozAGEaBXtOhRTaauOzBwvyI3o6WBDKaXlP/Tmk77HDg4ODuc7XCblbMXj4wyiic9Sjhq1HY2ydKJM9GxaciROr1rG0O4b/Rel/NopGFkZiA6lHFumZarLYzb7FJi2xda+NuR2B8VOf32bx5+t8H3LBVtXq2jdR6mQFDVj63vAuqUTvya//pW1X3/lLuD/u5jtxsUEeO91JBHTXStlAXwt9blWP6fpXXXIacrjPWpPyjFJnvrMJL4NaoxklpLqeVIfAOcVeV/5OJB6LrPi4ODg8AzBZVLOIHh/dwef2mtDYPMyBZ2Ha2zhjX1rGV7fIbmYFxJRTPl7ncUzCLiPorjG5p5lVMKU/imFlESjLx0txYQEKfVIRKZlnk4Osa3PGOhrQ+ChSe5TNS0A15361uY82eXribjQqk6m2ed7iwkzMGtNZP5BkHkkTus6vHb9kEQDIOnTUtqepg1ALCYkb5GUzhLfxhJUYss2eeD1AWSEgLV15z/6i6f2PBwcHBzOUbgW5LMU+aveyGxE5lF3sVhiwOxGwGLZyhdzZQbRiZ516GQedRbNvrUEq65F/VTK4peSg8F3ucjAq+6tkdjYr2+LJiURPQcYjJUUbVrmz+2C+aH4uelQwozkpCelKBX0TopuJMhICtT47VTCl5ZnYPX1GYTmCbOnaSLevpCrvowRUOGszghKPVnzyPnFAbNFanaXefDu/FN4//DJU3suDg4ODuc5HEk506DmbNUhA7gGRu0+0W4c7VJRwWyUkdQEuQlYtfQTiymaikKbAxKfpSLLNIm/WjBaG5K4rOtwHWN9kqdUshRBDmxfMjdZnXSs7b2V2AS3ic/9aLty4lnw70YkPjPVU0tWpjv8elAyKbnHNWpJq5Dy+2JqmaKFspGPXmTTlROf2adyvPreaBtzlBkRSklWHBwcHBxODRxJOcOQX3cDA341JrlQoWsp4fe9SDIgkgVo9vlaLN01vdDIg2pRVPAZZCYOLYi9favI1/c0reV2FBqY1eAtSs2v5bIjnFhcShjga0OWVCoxjzMms4WWivwHmAlcTfxMekKmEp9r+UHRk3MYCDnRCdCVmDqfUmIt00pItJVbS1U6MVo7nADLsChU66MuuoV0xSDO+x9/Du9zf/aDn4uDg4PDeQ4nnD0TkfpAnloLrIpXe9LhEvvsABrKlOJUXGeH0v47lA4b9S1Rl9g44LZhZhb6Xm4tvIeqNqxvxX1W7PF1sOAgBCAajsUSSz8XLDAjot1Bqc/MQykhEdBWZxX5+rnpUgopiUQoHUrqTKs6krXQD7nPo31X4gBoF1kaCzKSpOqQ5KMXrRYh+znQFSKjrdra5RNm1AS1I+6zK2LjXMpq+jXzbI6RCm3DnJkXL4f31Y8BvQj5K950Cj8cDg4ODucPHEk5ExFJOWKsQ3+Sya5lKwB7ip/qkiyo3fxyABRhAT7KWF4Jxeq+nJCAaAZAhxCmIsL1c5KfHYsslTSkBTcQc7eh+KLkHpDJOlpFK30ouqENKSzHzApFqbX7diISr9HsUFlEuAtlc82d6q59fdT5tpSYBmYQAC1pwd64zOyIdjFtaXHNj49b+Uevp2ZPRtuQS6ILKqX2upbNdBqzHluvp58DmVyDSRkjsK8B5FICKqTIX+rM4BwcHBxOBq7ccwYiv/YtDLBxwDbZWPQo6hY7CKnhaEvZJfWsROHlNsxPLeOrohPR4YGZZyWPsT63nxPRaCeiMFddWGOfRCjMLLuibrRhxqAdZhTtlhPqS5aLfM9yYWUWzsrrBTGDm+xxHUoUWkXbN0DiMl/m99oSPApdfy4ZDB2mWEh5nHUdK9UAvC5bxAwukU4nPzehcjGx4YyJz7UD1sqcyPUtidNudWilK4CESq91P+T11DbwdgGoDeF9849pCOfg4ODgcEJwmZQzFakEymrMzpMwZ+BWZ1gtYdQHlhXJYWLOcmyEJMzMwwQQ23pxf419BtbqkMF0QkhRKQFmKgzStaGYsiWWdajIXJ8gYwmqPmQGozZkZ5IGeyVQ2gI9FP+U6Q63T3yKcRdLllHR1uZuxPesOOSmVnbRTMZMhWSkNuA1UQ8XgOtT8XAk2Q/NoASZZYVUVDw6MqAoQmEtP+WezU3yQBLWFVKk10iFzrMVnkuU2kiAqS5bosNsZQSCm7Ts4ODgcHy4TMoZivyFv8xvtIySsnsES1IySX1zQo0DZiY0AA8D81TRLh9tnQ0zEoqFkmUBtIxRjW1ujRKbqmQSIjV00+nGmRibgV/bBa6nPmB2JsitfVkdbzuRtS4fqXJAYOqTVFRj/m4YsOSjLcCHq0Y+DtZJBNR9Vtc83eHxJnrMoPQja+GerfBfKSFJUKM3PUct16jLbpTZzKOOdD5pN4+W23LwtZKUzwIpWc1UmBHycq5ja4vnFvvM4AQZ8PyDK/f4hOc1OTg4OJyncCTlTEYpob4j9UkOdizyybwXmq6klJAYrLTIxhRuRtJemwiBmCuTJAAM3plHojIIgVpsbbTa0hxmzAAocVAxbiRdO5pt8MDjRGKj/8gk36NrGvpWwhk1fysllulIxNZ+XceGE1bjkYxPzuOPrqUb2RRoyH48GAlJRRNTlSzHTJWEYbZipm1L4kOjWRktD+Xg/ouJEb1yzGvbkzlI1dhKQYfqZpt/uMbto9SM8gCSlDU0No6oODg4OBwbjqScwcif82vS6ePxCb1dYBDe2qI4szFgIF8smT9JJBmOpZIF9F7EQFxMTW+Rw3xMUiE7m5bNCbY+oB6mOeBiVHhbH5qodV2H21Ti1boRLavkHt+vJZHR0ojqW7R1uhxz/2N9OuwWJMirmVpjAOxcsGyPtjprNqcx4P5UjNsUIjVbYaZlusP9NAeW9dDBiAUhZalnZKsq5bKJnl2ryR5dgP2cpKTZt2uhAtyhZLWmRTyrHVbj0o49V7HZTMMAeGxi5X57t/2PZ+FT5eDg4HD2wGlSznQE4t4KSLtue/Wgu/0NZlYO1hmAOwUrrwSSiVgqsoSSC4nY0DZzuNgHstBEo5lHgqNBvtnnv2NBMxfqd6JZFs2CqE9LYyDZHdHIeGDGQb1RPLCEohObo5SkSa32K/GTtTVKHhbKJEuJB4QeS0k6RHCxZP4oB+s8xqKUjCpiia8C3pIMVNSW7amueLlEzDpp1qUS85jFhNdqoifkr2j7WxJSOd6zkt2Buk2LnqvwuqYevP/9KWBvAxhL4X3gc8h//R+dso+Pg4ODw9kMR1LOdKj4tS4ZDdWWaDAMUyApMAC+4ADQlKzJctEyEX7OwNyR3wEMqoWUZYhQxK9allGDt7WGG66F1Oc6AykRqc9KDSY2HUUsxmie2OU3BnIevolatTRUTKykowJhXb8va9VOn0XxaqnLDCJdk5qylWOWY2pD8ztRU7xiYr4rRSkHaXdRIeV+jlSBbUs834YQwnHRwcyVgQvnSWgAXn91vs09G/C4FFnWZanI8yzHJEQ+fWi8j/934MX7kF/+L0/s+js4ODico3Ak5QxHfsnb4d33ESlriI9HKM6xGlDjwESdG9oMrp2IT/kFyQqUpSST+MD+ughbE2Yzetq5IgFWSzdjfSvPKBHQ8op29QDWyaLv9XB8guOJnqbZZ5aokBoRifos0bSKlpUppFbqUvO0xCe5mC+zvHKoZm3M/ZDZjeWiCHJlXs9AyJ22aw9HyJIa3VWkm0rde9WDpTbkvnqihVFi40umSscFeDnX1BjYgEftYvLAtc5WzCvGg5TfPBsuKefs4SZgpop8+l+fmg+Tg4ODw1kGR1LOBkx1STJqQ2uV1e81G3GwzuA31WWw1jbYILPyig4cBCzDApiTbCVmwNRMTLvA8koxMUO2QipiW+kQqsbAkQqnJNcHNuBPHW1Hhw5q9qI+sNlDSFafq5czA6HD/lQvMtbnPpeEvKi4NcipLwkzKydlHo3ULlggOYkynpeWlPqhtRsDZmk/ev7VmOffGFg5aLJrhKw6NCO72YrpcTSzM9mVDiR5zQOzMLF0Zal5ns4u0kxP4rMz6dIZ4NEJYKoL7/u3AVGG/MJfO/WfLQcHB4czGE44exYg3/ivSBY0EGuWQklHbWhtuDrBV/05PJgoVDMHKvBcLNmwwmLC4KlakaEYrM2VGUgXSyQlM1WWPdSWX8suQ986bBKfpZd2wTxQOgUzmYsDy8gcC1Ndik2HI2SiVWJ2aEnWvWnZiFEs5xSlJBjFFPj+FEsxy6LTUeO7zOPP6tuiowZ6oXU5tQskGkMR7eYgeVHDOC0hVSS7knk8p52LPKZqcFKfWR6dDVRI+bsLFngOOj/oUI3vu2ABeOEBI079UDxkQnjJ757qj5aDg4PDGQ2XSTlboOUFhQ7CK49oTBbKfMLXUkUOy2Bo2UTdZn3p7FEDuDhYbVimGg0PJD/9kJb7agGfg6UX9QRZLPH15QJJzniP4tCqlGe07bnZZ2DWoYXa9TNqq6/Q4+8e4/507YslnjtA8lOWbqLlAs9jSco+zQGFxfWhERgV6gbilqu2/2WZIzQUkW5bHGe7kU1wXi6SIA1CnlfqW7eUTkPWEQLquKvbaLZHW8XV+l+zKnNl4J37eMyHpqxbqSd+MF0SGa9zG1CJkW/99VP32XJwcHA4Q+EyKWcJ8ua7GSCXiwx63QjYM8bMxkCmCCceyz5jAwa2UWITihA2krbYohAWbbX1ctNkVETH4UHm1gghSn0rd2gnTKdg5SftKhoEFKgWxSZfzdc8aQleKHE2UF+6kg6LniT3VhvV5aKLScTzpBvx/f2QmYdOgRmkihjBbRCn2dS3+TvbFy17olkZdawtxzbfRzNQ6nWipZjFEmf+bGxz3TlIPmpD7vegtBNr2U0dbmOf5KgSm3ZoucB1L5R5vtWYVv39kG3lAI9XHdr1B2wEgWphBgG8fX8Ab98fPNMfOwcHB4fTCpdJOZuwu8lgOV+W1mHwqwbG6S5/Vx0yuHtFBkdtkR2EphXR0gMg2ZeCmaHpV3VUrcQM8Grg1pTyR6dgWRo1jSslVqbRbEk/ZGagKpoPP+f36v0SpVxXq2ji03bB5uusb3MfAPeZeDYocLJr4wO0Gyjxmd1RDUy7YPod9YrR9uxKbBqcsviudCMT4U6J38nj4zzOXAW47MhIl1Bsup1uZCWw6S6PqzOTlNi1C8z0aBv0RfPAb93F9+hcIW0v124jbWMuyfTpvhEY74kPArmHfOc7n/WPo4ODg8MzDUdSzibsr5tdfJAzQOuAQE9KAy0hJsUECCMLhkou1IisHNsUYy2jaGeJajyCbLVAFVit/+iLo6tqXXS+jgbZhbIRja603talS8bLgUHFtByj7qxaTtJpx3NlkrMc3H8E7qcfWifPMDBBbyWmSdqF89TK1IeWCUq0rTk18zv1M9GsUC+0+UfqJTNqRrdQZgbnQJ26mMXEMlRq4KbC5OqQNv2dgolq5yokJBM94KI5nvMgNBKjup3MsxlGes/VBXc44qibA979H3Ytyw4ODuccXLnnLEL+2l9gMFY7d9V6zJctoKnYMshteJ4O+4t9s59XHYq6w0YiKlWhZjmxYwS5TFDOrUyUe9ZppKWaxGd5R8smgGlSABuauFBi9w1g7cjdiKRLNTGNgXUFNQcmYFUSsCiOuurGq2SokBqZAHitNMA3BiQs5cSIlfrNdESDUk7YJry5xRKMl5uhW+LT9fbiObPrXxZ9TavIdU7KgMZexGv12ATw8CTw7Q0s9Whn0UIJuG8dj7lc5DZ7mtZqrbqihfLqLict4+nYAH1tGMB76DZ4u/7js/JZdHBwcHg24DIpZxv6oQX7HGZJX0gtoAJipjZkQOyL30c/BOZLDOj6e82QDAK+nnncrwczf9O5NH7OTITnk3z4UjbS2TediPssio5F9TATPXYE9UPzN2lI99FykcfbtGxmbpGIY7ct8XxmqtxfQbpyFsSfpRNx32XRx2gnTSVmZgSQSccABkUhNTBtirZYX3YEeGQCGIYmZm0XVhvFDYR4HarxfBdL5rTbHEgmSIS7fs4sy4G6ebKs63D2UkfIy8v2ArvGjAiGqZEugCTHy3l+++uWndG5SHFgQmh9n5j3efd/GFgsIf/hX3rmPocODg4OzwJcJuUsQ379G801VoNTmNlAvTBj4Ew96imaA8uKDAMGYg/2ZK4ZBdW2FGWSsrqiduTJPvUZwMdlto52qmgGR71Y1Lk285gFOFKlBiOR96/vWNnJz81x1s9ZBtEBhsWE2Ra1ot+8zN8drDHQq/ZjX4OdM0qCprpWOgGkAwniqivkQ2caJT739cgEz7kTca3F1DI5RWkjDjLutzkQz5Wc12KiZ27AvYhTm3X44X3rzEQuB/cdZsDVh4CrDgE/9X27X2rSNxDH3WJibcx1IYQ622hMslqqGfJyy0ipPinK4H3+U8/+B9TBwcHhFMJlUs5GaLtuJSYZaQwtyEYZkGTMPjQGDMyqnxiEwHJg+oxistrtdShdOZNdm5ic+DZRWYPpTNU0LB4Y+NsyC6cj+otiCiQxu3G0S6UvJEFbjj3wXxwYmQgy06Z0CsDepmlcZipWfmqNCF11v5WYAtcLFuxaaXZJbfIxspbYt0GGSgbaBRP7ageTtjOrRmehzGPFvk02vvqQGbPtazDTtLFNQjfRE5+ZMrMpiyUjYoslm6ys6xjNkAwDK4G1pR25Ih1ZasGvBnaBXNNKvCJG9r71xyvGefkVv3oqPn0ODg4OzxocSTkLkV93A7y7P87A1pTOjwwyeRgMgJox0OGE430GUc2QqDNtNzIzsk5k3TWq69DfT0qGYk7m2cSBdd2UJWBnnrUDq9HcZJf5uoWSTUZWO/1CSgJVSElAVPcx6pmiJnTzJROQzpbpcKu283FgxGVZ9CmzFStVKRkqjGQrmn2uqSCZkti3rp+NbRH6hjYQULNDY31mg1TzomUvgKStPjTTuDHpctrTpFbl0hkTHO9u2hRqbYNOxfemVbTpyYBlsnQatGa6hoGJkFVUq1mtoUx8rg9WhNTe4u8hH3v3M/GRdHBwcHhG4EjK2Yra0DIc+xrS6jq0Vt0gN4da7c6pDQEU+HpHTNfGekC7yFKEdtM0YNOQvdw0F73IdCU696dVtEzMaDt0L7V5PtWYgb0uJRQdajhbocajPmSwH0qWR1umtduoGwHdgmU9KomRqjAzj5eBlHsOV7mP3LOMjWaGupHNM6opuYJpcVSUm3n0XVFy1SmQjOk1WtfhPo82oRvvcU2PTJoWKMjZaaRt4GXJhBQTII2svVs9afT+1AYkJ0qIlNQMAtMI6TXW34+Kh7Ukp0Z1ALz8PcCdO5C/4k2n+APp4ODgcOrhSMpZivzKX4X3vQ+JL0pseo3a0MSnOUwYuyxljBXBq5QW5ioMYM2B+ZwsFRnkx3skIQOxse9ISSf0rRwRS2ZguivaCyUGufme6Jye6Q6Dt5ebwLYoLq0zVRkAKKLZ3AMWfGtbVvdZnZKchCN6msAmReu5qXuuZiV0vWpPX06stOLBuqFUexOJkHVLi9mZhhC1pRKvTT8gORzvS1u0zC5Si/3nzgIPrAOu2819ALxX+xo8hnbmAKtLOkXxjKkOrb27NrQsk2a5tOMn98x9V89HszmaZTka1+2Gd+9HgeoQ+SVvf4Y+oQ4ODg4/OBxJOZuReQxg82Wg6JtwVQO/DhgMRIyRj+gcdKCelkRU3KnZi/my6S0CcTvVDEcgmYvUY/DWJ/u6TEtOfBsQGOQ2jVnbjksJtS+VmK9tFFHsQHQ1qgPJwYCuWZ5IJi83BmaepoE+B3+v3UbqyqumcDkYtAMphWhJSgXFqay5mLD0tGPR3GBVy9KNeF0OV1nG+tZG7n9jm5mV586KqVxqM3zUBRcgEfRaJIw9yaBoGaqUAgOYTkZbqtUNN8jMC0evN2BrC2XEQDU2Ie+xsCjOub0I3t/dgfxVb3x6nz8HBweHZxg/UHfP+973Pnieh3e9613H3Oauu+7Cy172MkxOTqJcLuOSSy7BBz7wgVXb3H777bjuuuswPj6O8fFxXH/99fj617/+pH3t378fv/ALv4DJyUlUKhVcffXVuPfee3+QUzirkV/+L8WYLSFhKCU2TDAOLFip1TxgHTXqiTIMWFoY6zOo6hycxsAISRzw92rvrnqHhuy/JmZpc2UrB4WZCU+1s2VJSiczVe6rXSDx0TLG6HwhHb6XwVxYZyr8eW/DzifxmXnQ1ub6ULxDYGvTzhfN9GRSGloom+h2qcjsRRyQnCnBKSUsu6gwV1uKH51kR9GeJtfTDzm1+KDY3tcHqwkKYCTQw+punGIqrrjg75RkacZFBz72IjOVU13MimtwzHU/FUEBeB8O1bjugzV4n/0MvL//5NP7EDo4ODg8g3jamZR77rkHH/3oR3HllVced7tqtYq3v/3tuPLKK1GtVnHXXXfhrW99K6rVKt7ylrcAAO6880684Q1vwEtf+lKUSiXccssteM1rXoMHHngAmzdvBgAsLCzgZS97GV7xilfgf/7P/4l169bhsccew9jY2NM9hXMD2l6bgwEWkJT/gE/9WhbQIJ7DnrrjwCYqZ9L9Mlc2AajO8qnJMD0d0Dcjjqn1AX/XKZjIthtRJFobclsPkgHxKH6d6jELod05Kzbvmj3xTJMRZOY7ojb4xRSIJKOTezYnZ6wvQ/4S83vpFEwQqxmjIOfrUQoMJdOkHUdRBhT7JBl+DjwxZmWeeKQkU9XykxjEjfeN9LWKLH0B/P5gnfvesEySoYJmJWNakqoPbIq1XmvJdiCR13KPJK0sAumGlJcqMdekWaWnwuPj/DpftqnXR0J4/+PPgb1N5G/9xz/op9LBwcHhlMDL83yNovXx0W638fznPx8f/vCHcfPNN+Pqq6/GBz/4wRN+/0//9E+jWq3iU59a28chTVOMj4/jtttuwxvfyFT0u9/9bnz5y1/Gl770pZNd7gparRaazSaWlpbQaDSe9n7OJHjf+xDLFACfpKPMhvNpKUPbiAH5PmN3i5Z8+jK8T23Z62JoVkitE0en/JZl5s6CiF/rAzOTU1HpWJ9ZBSVHM9URAW7A0oZmW1RrknqWFQBsTQPxfClLdmepKK6xsc3KUYv7iR7PsxJTR+LlJCkleW2mYkZzqehdtO3Zk2MqedDMy6jp3EyF12yszyzKpmVrO9aW7Ia0Ku9Y5Dl+ayMJxESPmSqAOiBtn05HPGa83EpYhdSGKgI8rzCzTE6Y8TroJOtpyf40+0/+kCgpOlLlhOXHx/kevb861yiUclqngPxfv/oUf1IdHBwciJOJxU+r3PO2t70Nr3vd63D99def9Hu/9a1v4e6778bLX/7yY27T7XYRxzEmJiZWXvvv//2/49prr8XP/uzPYt26dbjmmmtw++23H/dYg8EArVZr1b9zDfnz3iZzZhIrfQDMiCQ+g6EG0HIi7cqelTkO17idTkMGuA/t5tEgtiwZj9mKkR51bk2FDKkL63KRx5qpik+KBN+lIluie6EZyIWZDfvTLAIgnSkyuM/PTZOhs4PUSyXM2Ao90WPAB3hOsZAx7RxSzYqODEh8/i5K+XNZ9CpLRe5HSdueJj1mVBfjgRmWTcvWTbS5xf2omFZ1JKWEawN4PJ1+3CqKN8qIEd/yiMlcHFgWqJgYwfRzEq6i3M9iYmZ4gwD4wgW04T8ahRT46hbLSI33gFfuouvti/bzXFMfeO4cidRkF95n/gu8//lnp/bD6uDg4HCSOGmS8pnPfAbf/OY38b73ve+k3rdlyxYUi0Vce+21eNvb3oY3v/nNx9z23e9+NzZv3ryKBD3++OP4yEc+gosuugif+9zn8Cu/8iv4tV/7Ndxxxx3H3M/73vc+NJvNlX9bt249qTWfNRgt56jJl5ZBdHJxlDEAVWP+3ItWz8LRLh7tgtH9ZR7bcLW9NfH5RH6kyu3mKmZINggZ0P2cGZZOBHxvmoRCS0ilhPvSzMCoH4gH05LEgc0cUu2Mnt8gJKGoxDZxORghaupp0gstO6BkSW3yi4l5rGhGxoMNKgwy6xTqRdaGDfD1xRKJSiot0/0QaJV4nhfPAfsbNs8nyiwjpLqbYmIZjvEe9yVOsQC4biUjpcTainVo4Vif909nL4UZCZNa+h+NH9rH3z9nnmv67npmgZ43Azz/IH+XA7jqMPAju6mnyT14f/tploEcHBwcTgNOqtyzd+9eXHvttfj85z+Pq666CgDwoz/6oydU7tm1axfa7Ta++tWv4t3vfjduu+02vOENb3jSdrfccgt+7/d+D3feeecqvUuhUMC1116Lu+++e+W1X/u1X8M999yDr3zlK2seczAYYDAwIWGr1cLWrVvPqXKPwvviJ0xrMi+Ga7kHbF+0rIkO2sthGQU/Z2DzpS24XWDgLybmk6ID9jYtMyDet85ajTWz0YtIgnIw4C2Umc2ZrTCIq9eHB/NZ6alnyUibcizZBC0DrQwSBAmWQjMJSnq05VanCBeFsFRirlUt/LXFeLbM4/vSMVNKuF4VqkaplWO0m6kg7dFa0rr8CLfZXyfRec1jPMZMlcLUYmLnoNksgNe7nJjgeLYiXUEQPUpmxnwVWbeW7rSkpLb/WjZTwrOvwSzMc2f5+4GMOkh94A9fZGU4gGu+aJ5fLzti3UthZmuY6pBkVlieyn/y55+Rz6+Dg8P5g5Mp95yUcPbee+/FkSNH8IIXvGDltTRN8cUvfhG33XYbBoMBgiBY8707d+4EAFxxxRU4fPgwbrrppieRlFtvvRXvfe978YUvfOFJgtyNGzfiec973qrXLr30UvzX//pfj7neYrGIYrF4Mqd49qIpKX81K9vQZsA+VOPvNZDlnk0m1nKKtrYCRjoGRWsD9iVIL5b43saABEYdTmOfx+tGwLq2tSu3CyQ2OgRR/Uq0A2VlaKFkUzR7kkO0I4GJgjXLoZ0/SoY06xEHLMlUYmtdVidZbV2e6PG1dgHoRzYJOkqt00iDdCiZFEiXlNrzz1SMoN2zmUMQqzFw7QGew2xFdDAyV0e9SmLRwAB8TbubVIMSpXYttFUcADqerUcN2pSg6H0FgC9v43XoRMDVh+33SkAfnLLs2RNjXMNlR0hA5srWgv3wJK/9S/fy9QsHJD3tAuAB3u1/g/yXf+LUfW4dHBwcjoOTIimvetWrcN9996167YYbbsAll1yC3/qt3zomQTkaeZ6vynAAwPvf/37cfPPN+NznPodrr732Se952ctehoceemjVaw8//DC2b99+MqdwziK/6lfgfe1jJB6diJmM0aAWZpYx0CGCiQ9EIhIdF1KRS5ePmoppu65qRWaqK9N2V7IvY30L/t+fJnnQLE1VOoOCHPBTK9cAfN1PTeSrmQ4tN+k8G0B8WXzTe2jpoz4wa371HtHsiJ9TAzMMmVGKA5au1CpfPVSGoQ0QVAdZLS2VYxKyzS3gwWnxNZEsyL4GvVS2LzJDURkhH5oJCTIrBwE2PFAx2eX5K4HxAJRiy+Zo5mkQcP/NY7QY9wPg8nlg6xJ/PlQj4djXIJm65iBwo4jOH5kEHhsHfuxRXq9vbSRhqQ2Br2wFvrIFePkTLOlFmWhySitr9z7x34B2Afk7XvsDfGIdHBwcnhonRVLq9Touv/zyVa9Vq1VMTk6uvH7jjTdi//79K1qRD33oQ9i2bRsuueQSAPRNufXWW/GOd7xjZR+33HILfvu3fxuf/vSnsWPHDhw6dAgAUKvVUKsxE/Drv/7reOlLX4r3vve9+Lmf+zl8/etfx0c/+lF89KMffZqnfg5CjcCCnEFtEJhIVC3tBwHQkyGCHqyTRT1QIK2vqs3Qjho1QOvpPBtp/10MrLW2VWTQHu9Ju688/fuJEQ/Aumq0NTgQnxcvsxJN5gF9z8hQp2DeIvWBrVuzGlEGZIlpaiLpjqmIYHhZzkHLOWM9riUcIQ0eSPBUFLtQ4us9ITH1AUlXUTplti+yrKJkSj1P1OJ/dERBMTVypVOVlRjpdSon5oar4mY1olNRs7ZBj+KJMeC1j9rPiyXgU1cBu8aAl+8G/t0XeU8UF83xH8Djvnif/e4le/kP4PEP10xs2xGtS5uiXu8v/xLYuoT8h46tL3NwcHD4QXDKHWcPHjyIPXv2rPycZRluvPFG7Nq1C2EY4sILL8Tv/d7v4a1vfevKNh/+8IcxHA7x+te/ftW+fud3fgc33XQTAOCFL3wh/vqv/xo33ngjfvd3fxc7d+7EBz/4Qfyzf/bPTvUpnL3Q2TbqVKplDF/EpMXEfEgApvdVV3KgYE616zoMdKqX0AF3QW72+WFmQdzPGdy3L7KMoFkc7YYBzHdF3wsADSEHOYBQOk8SD4C/usShE4lrQ+vK0dbptvwc+5YJ0YxM5gFjUgabl8nFTfFT8XIbRFgb8nzXdSh63dPktpoN2tC2FmU/ZzYpyoBXP84sRGPAbJISoRosW5T4QAITCfs5MyutornGxoENaSym1h6sk42j1Kz/l4tWLrtrG7Milx+h620OXqexPvDWbwB3b2UXz2hr9/EwU+XoAhVF7x7j9cnFc6YfAF5gBLRKkbD31Y8BD08if+M/eTqfWgcHB4dj4mn5pJytOBd9Uo6Gd9efMFDpROLFkoknCynT9rWhlSa0tVj1GNpJotOQdTaMWs73xLZeyUaYcX/dyMiCZgxEbAkvt+MtlPnzaBDX4wBGVDwwMOew7IiKTyuxlX088GfdRw6uJfNoKleXDqa9TWtXrsQMxHMVlqZGyzOa8VGSoGsGGLC142iyR0Kzt0HiphkfD1xjP6DuBeAa9PoBXKd2ZGnZSicwa0YryKwMpmtTN9/cA76znttcfdj2n3q8hzoraBSqcVmLsGhpbW+D758vG1laKFtr+boOP0df3cI1TfboB7O7ueJXk//T1z95/w4ODg4jeMaEsw5nARLf9ANqaBZJVmPUEn+hZC6xufiCRGIqpn4aOiiwH3IezYIM/tvYtk6gA3VmBXSwnQa3ODBdhe5PMweT4mmyVLJJwZ6UdFIPKEjA1QnO5dhacoPcNDOqPwGsdXcYmFhVMxKqXclHSIeasmUe169eJDqdeeMyhxj2Ip7rTIUlj0FIfcrlRyhGDcU8Tzt3tJNKS21KprR8o4MNIzHGGx3ICJhwWbMuOmsozMxm///sALYvkXDVB5xi3REymXskZGpup4RypspjLpZ43nruJemyWpLMznrJpPRDI3/FhNcDIKktpkZwD9aYnZqpUq/ysf8ORBnyN/3UM/kpd3BwOE/gSMo5hvxHfxHed/6IAWRStCFKCNQvJfMoWNU2Uy2rqIGZBh21jC9KBqYr9vG7xtimPF82K/5yzEDXGFiJJ/WA0GNrbRxYMJ/u0EdECcww4HEXS1xTlAKZkKSpLn9fToxAabeQEgsv5zE0YzQp+gnVhXQj8yzRLEuQA0nO7MDhqpWUooznNlehi6uWpjQrtKFNgnK4xp/VZXexZMFb24L1GmgLs661EwFjqWUwJrv8Xr1ttFylmZVmn9f94Umu/+pD5veyWDatjp5vOeF7F0pGDJt90wQtjIxLGITmQ6PdT4ulFdKB+bIRzD1NZmlq0h2mBEivjRIsD/D+7K+AQor85372mfy4Ozg4nONwJOVchLqXAtQNdCMGwqkug++yCCCVHKiYNJPsxXKRAapV5FO1ZgRWbOYTawNWR9tUNCFa7tAJy7FvZRsdiPfIpLXRqmhVLelXhLCyz07EzAogItuM3TWBb0E+EzKkNvHLRcnmSMAdHVConi1L0uWzv2EzhNSLpCpdNGHGLplRrciV0t4bj4hftbzVEwJUHvFzAUz4quSoKNtq9476umiJSZ1ngdUeKBfPsVtHO5oWSzxXNcZTkXRL2u7VcVjbtoOcJLITWbZt1L9GjeO2tKzj6OI5Gr6N9XnfHp7k94CRztmKdZFVY3PNLaTw/t+/BDIP+c+7MpCDg8PJw5GUcxGq1VgsmclZDnsq1oCrT94N6Vope3yPZje+P2UDBguJdagEuflvaEusDvmb7HHfGvBziHNrsFrnoToXbySTooE7BwlH5lkGQnUaUUqf5L64zOZCaDa2Sb5Sz+buqHmd6mwg53ygDmxetpLGQonnUUyt3FMf8Fp0Q6AmgXe6Y2UZvcZLJfteSygZKARWAzjVueh040y0M6lkPVTwq6WpSmzdTLUh8N8uYQbnxfvkPIs2/FEHL6oepxrbVGjtxtLBjRWx/q8PeU7VoZEcJU8A8KNPrP250q6mfQ3g0hkjZ/pZ298wItoPeQ5FEhfvKx8HlorIf+wXTuUn3cHB4RyH/9SbOJxtyH/kBpvUW5aMiApVM49P0v2Q2ZXq0FqXD9eYbakNGchHBweGuc3+6QemkwD4tRoziOk04MIIqehJK6226qpUW9ucNUsz6uui5KaUsPwSpSboVTFt5pm53HzZpjBrp09P9CyaJVA9yGRP2qBzoCH6jFLCTMuor8wTY8w86cyg/XUxP6swWHsw8znNYPRDO8+idFepU66WW3SgIWDXQjMdmsGojGRjYp+llsUSS1OaHemKOVttaB1Yqbe6e6mY8vgFWUsccLsDdcuctcWsbalo26yF6Q7wT+8HfvpBy+hoaUm7yZp93i+16S/J5+/BKcDP4e36jz/w59vBweH8gcuknKvIPekyCU1EqgFTsw2JpOU1c7K5xZT+WJ9ajcaA26vAcyCzZVQjorOBVORZEUKg5SM1LtOSRatoAwWVcJTEIwWBaTCizKb7qm2/ClBVlBtmNvF3GDAgrswvys1DpR+SVNQHJCeKQcjjt4smHtZumo4QnRxA5gO7xnks9V9ZLti6NSulxMzzgGEE1Abcx3TXZgslgRHCSmzzewAjhLkHzFZ5zl+4AHjxfmY2DtZ5/za0SVimuyQa62WyspZ8NGvTLpCEtoo2yDBKbT7T+jbPX0colBNqVUoJ8O1x4NJZvn8t1IZ0pG0XbJbTY+P8XT9kuei5c+z8OVwFvrmR9+Ble4GdC/BwE83gav/2VH3aHRwczlE4knKOIn/xm+E9dBuDsQ6n03LCspCV0fbW3LOOk6WiOcmqr4p24SS+zcpJpaMkEHGnakZC6SKKxQBOA/+c+Kfo7BklMXHBSkMr5mX56mF76heS+kCYmFlbDhIFDfoKNbTrhzRnU3Gol7NEoxkAwAK76mG0LKWW+es6LOE0BmaMpxoevXaa+QhyoO+TVKgpm5ZFxkRL0hPtTpBZV1BBvFC83FxjhwGzOTl4L1pFkpSCZKyach27kQ2S1Fbo5YKdX+wLqSwwG3KoxqzME2Nc91SXGaKDNTrnXnGEnwHIcY82kJvu8PUvbud+Xv89XqePXGvdUBfP8Z7vWLQZR0FmU6ArMcnK/euQX/4vT82H3sHB4ZyDIynnMrQ1uB8CWWYBTQO0zvnJJZAeqDOAXTjP969kFkTroYSlJPN+Ul9s3BOZhxNyyq7ODepGQK9i7bNT8mRflcCo7cNqmjaUcoiPEcFvj4RH3VhVlKl6G23TfWSCZKWYmIeL6jq0RLRcoBZl1MxOJyZ7sGzEQDxOVPw71ucaprs220e9XrSrRUtV6ryrmZyqiFFV/FqJeRzNPoUjRKUbMXMD8HeXH+F6H5hmNmfLEnUfqWcmdNq+rIRRu42muyxfre+IQR5IsuKAmY7DNZrBvWg/11aJOQFZiWHim+9KV8qDU13LrnxjE79edci6rH71G8B/eR7XtGuM+9wkrcsPTnGsQJAB/7CTr0/0gMuO0Azu8XHk//fPnNKPv4ODw9kPR1LOYeQv/GV4d3/cyMDKJOSMgVdbUGfLDGTLRTM788Cgl0Y2tTjK6BWic3R0ivGyDOwb65ueoTZkANYBeppVGO3mUcGmJ5mXMuznRAhQT7ZbKlr5Rv1edCLxqB7mQJ1P8WqephmUAJKtEMHucoEB/HDVgreuORRSUxsaAZirmBmekpfUJ/mLfcvSTHZ53IkeyyfFkY4lbYWOMvNCUbEqRs5dB0FGKa/3D+9hZmaubMRELfdVyKylnkw0KeWYxDDKgAi8/nsbJE2DgF9/eA+zRKNGby/eZ4MZNROmLrlezlLTtiWKjffK96PYvEyn29TjhOVRopL4wP3reF5HqiRROhTyqsPwejcjL/+7U/3fwMHB4SyGIynnOjYtWwtuVYKrzuNRt9exPoNRfShlFckU6Jwa1VSkPp+stXyhglEtJRVTG+CnBmzqDtsTsqK2+oCVVVTPobb3HrgWDzz2QpnlJC/n/ospv9csSScyb5ItLQbUXeP8WpMn/4cn2RmzUBKztjbfs1CW2Ty5aXU006LaloemSK7GexTaatuzZmdUlxJm1GYUMu43yEyvUhTxcaDXCiQiR8RkrTaUUhmATmBaH/UhWd8WHxd5v3rMZB7HHtRlMvUgENt8IXWpR7IyX7ZBhzlIWjYtA+2I56NZoqUiyepEj4Qr83h9WkV+TpR4/vgjXLt2Jyn5fMlebtsTctgpWFaoG/H1n3uAv/v6ZuC76ynC/fn7gXLCEhCAXL46ODic33C2+Oc4vNlb7AlbSw6LJev2UHM3zXJoGUeDpOoyNOCp+LUmJMKTDIF6lkxI50xDWpNVezFqx66TlVW3osG2PjBLfx0qGI9kG9oF607SEou23mYen+prQxqRqUGa6mfmKiQn2u2jYtIjVe6jJ91Ol84CX9sCzJdINu5fx/ctFzg1+MrDwGMTvCZqFKeZFV2jzhkaEwO12AcqOkQRRtwKKTUgj41TiKoZB8A6dcSMLS9ZhsGL/x/5Rv7r9kWkPAzNXt8Dr8vhmmXSBoH9brLHc67GvJ6AZcp0Xo+Sz9RjJgcgWWwOxLQvNxO8Uaxlwd8uUAOzsf1kQe73p4BLZtf8/Dqy4uBw7uFkYrFrQT7HkU/9GzE4E0KiWQwN0t3IsgCNAUsg09KG3BhYtkPnzpRHPEd0im8cCOFJuT8V3GqbbSDZmkjIjYpjuxEDWrNvAVy1MqqTqQ/5dH+4ymDaCxno9FyWiiQxkYh7v7OB53uoJuUsWfdkF9i5wOB/sMY1L5S5/v11Zno6QoLG+ixf7W7yug0kI9AukOy0Jajr5OKqDC6MA+uKKiZca+7xf5kKWlMhe+M9nuuRqnmLjELbetd4hMij37YunTCzcQba8q3ksTGgyFXbwtULppCKSV5qBCWVPwVHqtxnKsRtT5Pnrfb46q2zv87MixrYjUL1OaOoDZlNWatj6JJZI8qKJZaTvG/+8ZO3d3BwOG/gSMr5gNkKU/hHqgwE7QKDbkHKJj1puZ2XYXIr2pXcfp/4ZqMfZUYitBNHSUhFpvmmns0N8qXVNYcMoksY3HU2jLYiLxWBVsmMyFKPOgrNpEz2TE9Tjq1d2c85W0ZLLEpcHp7k19gcULF1CbhwgSShGwl5E13NoRrw0KR5r2jHz1gfuOIwNRYLJQZ01doA1nJdSEkE/Fw6dUbugbryVmLLMlVi4B89Cly3Z3V7tMLPV7Q83oO3rf7dgTrvIcDrqYZ1oz4vANe+XoiTang0s9ITgpJ7PK9OxG0enhQyJmJoHZEQ5FbqAqzMs1y0dWl56EB97c/i0YRGoQLtYcDP61Jx5Vy8u/4E3p1/uvb7HBwczmk4Tcp5gPz5b4V330cYiHUWzlKJQWcoWpRWkcF5ZbCddNvoED8vZ+CY6JnGBDADstwD/MwG+WmnSTmxFt/Rqb9FFdJKp8v6DgmJilB1XozO8tEhf5nHr2oCt7HNNR2pkjis61BgeqBOIvKd9SQL1xzkejsFKw9pC/BMlSTKA/e5fZHrnOgBLzgIvOAA33v/OjGIS0wI2xFDtYKcu1raq0V9JB1VSuQ6BWBeAr2Slfrg+DewnAA7F1d+9HATcPEa22nWK8iASIhSUchgKq/rmACdAD0xIEFZ1+E56VyeioiRm2KUV5KsS+pbmUgzbaPGc37O0tDGkdJV7llpSqYlr/ysCDMgyaxUtK5DrYqfU2fUKsK796NA6iF/0S8f/3o5ODicM3Ak5XyBttI2+yQbW5dMOKu6Av061TUvk8aApRYdNKjdOzmos9BgpQLR1LfhfwMpd2jpYhgAfc/m4+jTeScyAzklG9rGG2YkJdpxlMNKEmN9lg8O1/iaZl48yDToohnVHaybKd2UlByOVNmhMgisXXh/wwiKDl38ylbToASZtEr7JCaqO5noWTlKSzeNwWqzt06BxEln34xib9MmV29uWVsywHtUMlHpcaEao3Skkyr1bAq2Di8MpQNovsx1axYshfmv6HTo2tDalDNPMmtyH5eL3E8v4rlBrv0wBA40ZLq2dHFNCkHWac6jUDNAgMc7VOM64hH33jJ1Pd73PgTEAfKrfuWpr4eDg8NZDUdSzhPkF70D3v0f5h/9bmRuoRM9IM1snk43Es8QKReM9xg0vjfNYDQIrUU28YBqYm60fm6iVg3orSKDkwotR03TGgOgnXMtMxXaqRdS8TfBal8WwAJZKTEyBVBjsrUlJQsxMZvuUvzaLVCQOgj4dH+oxvc8OkHB5n3rSSKCHHjTt/naRI+ZplaRWY4ssKGBOvE3kk6mmug3lgvmtxKklkkJpTSm2QM1klMC8cQYicKBOgnglYeBL21j5uQYYtLjIsi4XvV/0WvWC4GqkMVWkfdVO66UyMXyeWhLdqgpmZ/q0MYqhNnqyc2+3L8vbadnSnPALM3DkyzbPDbB4092gecf5D1bPOoaADbSIBe9zlRXJjqDmb4wtc+edJd5s7dQc+Xg4HDOwpGU8wlKEFTAqu6fajymjrKPjzOYb1tioMo8BpnFEgPWfJlBOA6AJBWfkoQ/6wTmzAN8zwzO1Lo+l3JNDjEzS5nO1zkyW1p80l4ukvC0ijYnaEzm7FRi01UslIGrD8kU5sC0H/dupFC2GwFN3zQa+hQf5LRrv289icjzZswETg3ZcohhXc5z9wB0pCspyoAJaYsuZrwGbSFIKuJVK/9mn+8diDZmpsLzBLidtocv6TlkNEPzc3q+LBefuiQ0CjVX02sErPapKSU2KqAbif5nxAhOO6bKidxnLQFKNky7vPycWayhCKf/13NIbiZ6PM8jVQpsZ6okiLUh990c2OBIRSVeXTYCVmeTABI9FTdLqdDr3wx0CsgnHVlxcDgX4UjKeYT86l+Bd/hWE6suF8zIrBPZRODEZ2fLkSrdZ1UYWhP31MWSDd1TjxMtJ0SpTdZdLjIYq7fKUsm6TzRzsK4DlI8KwNpppK3PObidThEeHaY33uNrsxVbY+axlVhn3WgmZrZi2ZedC9znr30NePVjfG1JRLEd8XmJfeuCCSULUR3pTtIMTDm2+Uja/VSREogvBAcgwWoMWHr6PztI/HYs8jrp+IBtSxTo3rPJBMOpx4zEtiUjIE8HOpVYy1nFxIY4lhMztutFMhU5Me2QtqKrpuT7U7wWu8dYYmsVrdT3jx+2ktbXN/P9+xvsNKoPmNU5moCcCPx8bbJWSuClvwsAyIN///Svj4ODwxkHR1LON8xUGEC0YwewwL9YsrZgNWsLcgb/QQAgMHGqmnQBtq9yYm3B431qKw5V7diDgs25aQxsxoxmGxS9kIE8ERHt5Ufsd/3QhKDaUfPwpJGaTmRlhvkSsx3r28A1h1YfAwDe9dXVPz8yIRkU0V1oeSr1RXfjmTA2ysynRb1iigkD94rza2paDoDXZ6ZiLcF1Mctr58D2JcsEtUXg3IlYlooyksYDdeC63U//3ldHpiXPl7mOtowKiFKKl6PUBL1zFZ5TbQjk4qGj966Y2Cyh2jTw6sef3HYM0Hb/WNBy1LF+p2XBHGbTn/q872N9Xp9iau7FlRjeng8AtSHyid96+tfJwcHhjIEjKecbtLNDJxxrhkDn4mgmQFuOD1eZnh8G1toaSGBRo7Ugs7bhWDp1DtYYVHXwX+KbiVklBrKimJzlfBLf02QQne5a901HMiHDgERkrM9untG1LJVYqtk9RgJwpMrywgPT3GbLMvf1+Dg1E2sFxb1NrteD+Y00+5YByTx+Xxnymg1Gskda3vHBIYRaMvLAa6OBWLMw963jNuM9EfRKWW33GLuSMo8EbyiEMMiZ9blgwdau3UNHD/57KuhavJxamO9Ns3NJsxOapdnX4DUMpWNJPw/aQp16zMRMiFD2aGv8E8WxCMrK7+T3Hlb7yBRSm+7s57xX2gYtPjDezPuRT//rp7cuBweHMwaOpJxnyK/+FXj33G5ak6FvJELt8EfN1NRLpTGwdmTVKOSwsk/qA0NQT6E+JWpS1i7waVyn9eaemYi1iqKRKJOIbFti5qMXmU/H3iYzCzpLpiJE4cEpvlZKqKFZKjID85UtfO2nH+TxBgGzJFtaLDkA1FIsSBu2iojLYjvfi0wIrBqX1GPHipZ6tHVaZxoVU16XURdcJSd63ZZKJFEAiVyY2XoWS/w3VwFmxdF1umsThz3Z5q5tJAelhNmQCxZ4Ddav0TEzX+Yxl4qShdlD0uHntK/fusTr/+AUz/nqQzxGL+Ix9jZsv0EOQDqbgly6mLKTJ0pHo10wZ1vNnB2tTQFsirKuZbxHYquEVX+n5UgA3qP/CdjSWuXW6+DgcHbBkZTzEdo5oR0gA986LdSELPWADdIymiUsTQxFYDnZAxY8IPRsPks5ZgZA3WmDxHxYmgPz2FgoAr2YpaAnxhio5yp8qu9FzFb4EgS3L7Jrpyfi0i7Mp6MtZl/LRWYj9jW4n0EA/N/3UUszCM087OJ5IwRf28IA/Jx505voWpWY9aTtNYOUHnwgF4I2IdoSJTKaodB/hUR0HVISqspMpDt3MChPd3ntD9aE/IjIdLLLILuvwdc2L5OgzFVIqAoiLFajtNRnBkbbtJsDBu844Ne9TZrTJT6zTdWjdCAq3j16kOBET9bZMcIwDIDFssxUEuKW5RzceKJYLK2e+qzn0Pd4jqpreqxu+iZAXI190/yocLpdEEfiEslXu8Brur5j5agcbh6Qg8NZDEdSzkPkO98Jb+8HLFjEvjnRaheKdnqUYwatRck6JN6IeFVM23RasOpYFKkE/GLC7Q7XrPtnurPazE2zCqqP2Llg5QQtrcxWWLZRPctMlcF9qcjAvmORgdfPqUlZ1yHJUWOxlkzcfXjSMgraaq2dTdrlokRtENo55Z5dr24ElGJz5c1hZEdFp1qm0FLFBQssn012ea27kZnLqZZFW4KXxPm1E/Ec13XYyXT5Yb5vqWQErDrk/dH2aTWu032O9SkkPlZ5JUqNEGjWK8iAZISBpKIlqg5ltlNq2Qv1XhkE5kI72jq+WDJdk/rFNAYkkgdqJB59ISJz0vmVSyeSaoN02vMw5L3eviSC3LqYzslModqQr011LTsmcGTFweHsgyMp5yvGxaxMW4lH3V2rMhxvscRAtKdpwbaQMXBqq6qKX8sirKwPrb25lEjmQ4JxJC2kmpWJMinj1CwLsG1JpjFn1rXTLpjT7aZlBu35sjm5jveB679JUqDbb2yTnCixAEwQ+s+/wwzEYolrV81NL+Q/fYofFRYDDJr1oYl0YzGl0wzKihYlodYmx2prfCUAvYhBvz60QN4qmhA0kH0tSoZAvUkmehwb0BNxcw7JWkmX1dal1d4qz5HOrB2LJ/65iOU6HK6t1pqUEwv4frraI2UYmIdJJ+I+xvpC9nJmu7QM1pdrfKjK0tGFC8yoaRZF5ySN9W2AY00Exr3QRiosicC5JqRpXwNI2jb1eaLHc1gDHm5yRMXB4SyBIynnKfLav4WXvYdPoPUBMxTaelqR6cQTPT69R5nY24twchiIkHTEr2S5AIxJQNm2xCfiTgT4yYi5Ww5MdayTKPWYnledxrUHrHW1XWBJZkm0GjkY1OfLTOeP91n2KKR8/UDdsiG9kPtMJMsT+1baUGxc5nnPVazFdhBaa7ba+KsWQk3RiqmRhqIE3lJsRm46SVrbvLXjpRdSF6N+NBcvkAx2I5LAfsgsQSjvuWjOtBZKECoxg3PqkZA0BnxvkJGUKZkaxfEIylrdNeoaq+MTjp5wrNDzikSX0i6wJKWapbkytxnvm+NuLzSzwHIC7Guu7o7SGU65x/s8CFgaWyra/VBPGfVKGco929Dm+5ZKQC0G+rEZ8PVESzTSfeQN/x8gypB7v3Ps6+Pg4HDa4UjK+YxZsZuvDVkW0Zk5Kowd1a34Of/4557N3ymJh4YG88FIeWCyC2RVC0DqeqqBtxsx2Kjw9pJZK+88MUbSoR0ue5oslbSKDG4H6pZpufYAA6SuY7LL7/c0eV46pE8t/9sFKVfkNiBRg7vOvelEq6c4h5l5ijQGJpCtxDbgMMhtmCJgc3RGUYkZRDVTlcPcddUkrRzznJQs9EKWXbR9uBORBG5oc/9PjJFINvu8n7kH/M/n8Nq+/AlrJ18Lx+uuORkfE23RVr2QfnbU8C3zzGa/GltXjs6AioV8qOdMKTGx8SAwUzwlJ9WhZXUO1cxkUO37tTyk5zcIgWBEW6MOux7g+b8LJD7yohPXOjiciXAk5XzGE2P8Y79xmWLY8b49AS+WbLKuxtra0Ay/dLjcQIKRbj+asVAvi3Ck+0Un3QIMFtUh8IpdQF+IQS8E7tnMoFVK+PN4n0/W+xsW4Gsp8NK9fOLvRsym6MTesT7fs2nZSkJqrKadRZoZScR3Q/1aUiFcOcyrA+B1Kkn3Twa+VwcNAqYl0W31/BTlhNkO1WQ8PMlsiZ9TRNwYcIDhYokEK/V4bj6MyAHmC6L7n+4C3ZDv1/LMZTNc/3wZ+NpmEtDLj0iGqUZB8rEwCCnCneit3WVzNIoJEEnmQwc2lhNmVVY+AwUSkImeOd3qgMpUyKAa9cWBkcIiTK/kSylRf14siR5KHG6VaOrgQvXj0TUo1OlWZ0oNWHb08vcAOZD7LrPi4HAmwZGU8xj5i34Z3lc/xidwdRJVLYD6kKQeA6XaxPs5ty8lzAqM90w30I2Ah0S8Od2RICAfMS+n+LMtgWNWBJLDgJkAzYT0Qr5/1xiJQzEF6j36ixyusU02kIzGojjEqnX7VNcyI5q50Rk1qQfEJSvZpJ454cY+A2W7wNdHp/YC5iejZnCl1NqVVY+iXUFrGZqtXHAw0GrG5PtT3M/2RZawZiu085+psvw22eUMH+1KAmwYo65x+6IFboDmb/sbPMZYn9dG/V70WMfCchH48laWyra2aBx3vPNR9EP7F2bArHQB+bmQ05Qlm15kn6GpDucq9dSczzePGi2dacmskBr50Wydl0u3WJmfl544A2tpbhis7U6rLee5BwSio0mlZOUBXsnpVRwcziQ4knK+w4Ok3EV/UJbyjwdzn1XjsaFoBA5X+Ue+LNoVtaLPPD5BFxOgFlpra+ozEGRSdiglzHQcqjGwaQlmuiOCWnE9nS9z+70NBlA/By47wiCq3iGJb/qNw9LSO963UoGSh1bR5gsB1kmjPi7qlTJa/hk1oKsNSdaaEvi0/KOlHp1tsxa6EUlH6vOaNQZsD97c4mwegEF3umMkJpYMj2ahFKOZKl2nEom7t1JAqj4m9SFwxRFrWT4W9jSZVdvTtDLJY+Ncx5WHSS6PB9UpVWNevzggKVGxtRr45R7QL/E+6XXQrJoSvjiw7AzAz4eWzVLVoQRWdtRSkHaY6ef5WKUs7ThbmS+VW/lSrqOHm4DlIvL6jcc/bwcHh2ccjqSc58hf/Gaau5Ul89CX7EO7YBqS8T4D3mKJQtfE59fxPrURjQGfaFPQTyTMWFYoJTZ4z5MgoB0b6mbaElFk5pkNO8DSSCFlMPdytqtePLd6UKEvwXleSlRBBtQS7rdTsJlDqbfypLzKoG62wnWrLkKt7QtSUqlKy612BanPiBq4hdnqUsxa+M4GE8xeedgyUZ2Ia9nbJPF4aJIB+rIjPJ++WL/XB6uzOqMYzXLMituuDuqbFDHpgfqTjd5UIzRfBr69gfdV5yqp/wnADqhhAPz4I08+9r2b6FYL0ECvkDLzoyikwDc2sZQ41RUfk5jnNVfm2rpS8umHRhYAGz8Q5LzOo5miUbO8xOdntSNdU1FmLePHygAFOadUF6XtWj8feg/ny7wnj4/DW/xvgJcj/8WfWntfDg4OzzgcSXHgH+t2gd/nHoNOlJrB2Z4mg00/ZKZkTEhLq8gSiJqWNfr8o6+6ExVQrmubTkP9KxakhTiSklJtyPeqt0WryONMdYEHp4HnzjHToFObNWuhnim5R62ItjYrIQJIQFIfGObWytqNrLwDmBuufp+L2FO1NzpcsRzbU/dTua3OCXHQNT48yezJ1iUG7c3LDIr3bmTpR4+lnCTzWPqpDU0c3FijhAGQMO5Y5PHKCQnVoxOrJy53IxuJsOxzPbMV66qJfd73VpHXsCTOvl/bQvJ0UEzWDldZntrX4L1OPZLKVevpcXDjoxM8jprEXX6E122uwq/LRdOgJD5QjNnhBBhhTT0jHUpQSollmDa0SfoGAT8DE6J52dd4cleXalGCo46h+M4GaoO8nDqtdgHe7X+D/Jd/4vj32sHB4RmBl+f5cR4Dzy20Wi00m00sLS2h0Wic7uWcUfDu/rjNg9EUugcGiKaUXjSA6jTdTsGe3DXNP9m1TpelEfHkWrbty0UGydkKBZBRxiAbSKmmJfNYLj/CIPjd9SZone7acVVQqVb9YSblq9gIU6dAIzoPZlW/VCLpyjyWINa3WfYIMnYyaZvvVNdExDrbaJQorYXFEvD5C3ntLjvC49+ziaLWaw5yfQ9N8ngAz13Pty6TqVPPvE4iKZmoMd1aOFDnNSolluH68jYG6/HeSkbA+9tPk3zMl0m6VN+SCdnQSdGHqmwT1hJgNwK+uJ1fN7Qp1J3oUTfzQ/uOnfHRtamnyo5FkhTtaBpIF5nqTJQsrlVKU1O31DMjvUS6rYopdUyblnk/58rWebRz4annHfVC4C8vI7nVMRFKYsMMmOgh/+l/euz3Ozg4nBBOJha7TIoDMap9SOSJWtuEteNH9SJlCf5Tok9Z3x6Z8OsDXmatoEpseuEq908ADMZLRQaOpZLNZOlKeWggmZu7tjHwVGM+7cfSmjwQPUwOBnAt6QBm+OXB9CnqsxGLvib2zRemJe8fG3Eu1UxOObHOFX2iD56C239zI/fz/IM8dy1TbZYn+0M1ZoiWCwz2lx8B/s8OXl8tZQwDkpgLFvieHDZIby1RaDUmORrKub50L/DcWbrUfm+dbdeLeJ2vOMx1tgumBxnrm2PtNzfyfm5f4jlcNA+8eD/w51eQ+LQLwI8+YeWz42GTkKtd40Z4Ruft6NDGMLbMVw4T2gKig0psbMGoq20s91NN4Q7UgW9tYIZJLfUvmue26oo7ilaRBKxdsLZynROlDrkXz8H73J8BywXkr/+545+vg4PDKYEjKQ4ApNPnvo8AYQpk0Yg7amjZh9EArX/kmwMpS1TMdXYYkMio7qFdYFArSRtvbcgncYDb1KWcMdq5kcg+dH8TPctgVGNzhNVWVm05ne4wYLUkS6MiSRUBq1i2IE/dOrV4vmzZGC+3klaUmcvpiQ7Tu2czv151iOe7XCB5eO6ciVB7op2Y7lLcur5Nr5jHxld7zvRDE77GIpSd7DEbsVxkOWPlXvSBaw6xXNEuALub1MEAwKWz8NLf5fevKdjQyEy6nPY1zNsEYh3/fMB7/k2rz228B/z7/8P9PzrB+6geKOpLsxZUV6JeODp3KRIzvjHxeanHQFw0YbLe2yi1jh81zAPMKbkinVcPTgPfWU+Rs55TkNu0buDJBAVg+XGxZEZ8Zfl8DET8vW2JuigZUeA9/h+BdR3ktX+79vk6ODicEjiS4mBIfGsj1Y4Y7WyJg9XOq6pDmZTpxJWYT/wPT1pWZqFEQrGvwaxGc2CmX82+PRVvXOYxtFtlucgMjQbnCsW3+Q//0lOegrfvD/iNPllrxqQrk32rMfULC2Wbsjzet+GJ5SEzHlNdrkknOT9VpgBgNuhAjYHzggUSqK5oI/Q67mtQ4zMp+owdi+bncfEsv//uepsifajGID3R49fEZ6CMMtOqaNBtFXk+Vx4mmWgelW3RIK2t1MBqG/1W8dial6Oh12Z/w0p5reKTNSCK8Khjj/d5j2YqRoIzz0qIWmrU2UqaXUk9y55oR1k1NtHtVYeA8aaRwSfGeE6j5cbU52dr65K9Nlvh/YoyEi/N4g1CuyblBHjlLiO7uQcv+V3k4b8/sWvm4OBw0nCaFIdV8L7xURMlhqKTGK3766yabghUpKQCMCBuWwIenGLwKcckAmHGgDBTYeAf77NLpxKvXbIAxN6cvhr5xn/19M7jex/iOhLfnsq13VnJmH6vAuHGgITp4jnL+pwo7lvPSc6FlC3Rz50DHh0H9oxRxKoi3Pkyr+2lM6tLFVFK8pL43M+2JRKdL22jkLTZtzZw7Tya7jAYlxKKWh+apKD1qkPHdpnV63sipOtEsGvc3HCPVHlu0x0b3rhW1mL0nPc1SOTK4l6s3jhqaa8Ge15uJcVqbKU3bV0eze4djc9ewvf80D77zP31pbxPqq9aLpKUtIokKY+PW3v0jkXg1Y8fe//azny4hnz7u57ulXRwOG/gNCkOTx+NATMC/dBadtWfQu3v1RAthz1VBhnbklVvEGYMNEPxzOgUGCh0Ku/OhTUPn+MmHndM/j1N5M97G4lKVUo2CyXr6NEheuq/UR+w5DDeo3B01KH0qTBT5dP6YolP5h54vEM1I2tjfdP27Fi0UlcvBA5JJ9VCmfvZ0CbRuGCB1/K6PSau1fJH6gvZEd8XLblsXyK5UYKi/i/jfQuwT0VQ9jWYUVjfPrGsys4FrkE9VroRA31dzNe0bHg0dOqyZtYGgV272AfykTlS6oeTimA6GBESj2ZWjoWrDgP/9VJmo7Rt+pW7gK9s4X266jBw7X6+3otYxrp4jse/eG5t0ffoddTrvb4N7z//F+T/9PVPfd0cHBxOCI6kOKzGE2MMkh1JfXs5n+TVuGwQ2DwfnTgbBzI/ZbQ9V7pFluT1XsR9XjbDADtboR2+IvdO+bC3/Hlvg3f/h4Gl0DQvqmnQ0scgZJC88jDXqzNzngr9kKWOx8d5Pda3zV9lX4MERDUa6yTjMUrMZissjQG8VjMVE4lqINXjqIi0XeBx9owxaC+VgFlf2prbq8sXgIiLRbSrXVteznu1FhHrh9SzbGyf3OyeKKVe47EJM25LhbB0I9MNtQtc62iWR+chqS9P7JvOJJXP2EDM2wKfE5i1eywV4rxcPHZWDuB1f+N3mOm5cwc7ptZ1mP2LxZl2ucjXygnwov2r37/W/KO1iF4pAf7p/fBwPwA451oHh1MAR1IcViF/zT+H960/ZqDohywzDEJqNQASDoDZEX2CVSOu0cFwOkyunQBRyMzAskw2PlTjE/EXtwM/shs4WH/aZZ2nhLYgBxlQgBmFlRJmL6a6DPzNY2RPHpsg6VCn0p50FQUZyduS6Dh2jzGL0S7wib0ubqrxyEC70QzHrnHziyklJCIbl637Z1+Dbbq9kAFUZ+OEmc0Z6oteojZcO0OS+CQj3ciCuJIyne48ilIC/NijNiRQt9cszGyFx9y0/GSBrJKM9R2uR036VA/ULgCPTALrxqjFmeqankbHKmgHWSolniizbh39XKnLbJQ92YlWS0NrlWX8nMZ1cxXekwN1kqnLjvBa//1O4A33r012RgnKWtftGPBwE3CgjnzTM/TZdnA4D+BIisOTEftM15cSBoDiwCzwiyOD9lpFBsxCZl0xfs6AurllmYLakBmaQsrySFWs3w/WgV3jyHe+8xk7lfzFb4b3lY8zE6FzhBZKJgDeumQtvqPY1yCRmJOyShIAhZ7NowkzZoY8kLgsF/gvktKXzvsJhiQtGtSXi+w+GeuTYKgYVkslQc7rMlPlGgqpfU0is4O/ZJaEr5hwzpEHZgrUhG5dh/dMBzW2C0YiD9Z472Yq9BPZumT6oy0trkWFw93IBKRK1NSxVjUy2hVVleMtlswF9lDNSFizz8/NfNk+A0o+FktmwOfn9LSJcmv/rQ/NEl87plbcZz0bm1Ad2nXUrJ6X21yq/Q1er9c8RrKl13OiZzqYtaAamhPt8FLL/QN1eF//DPKf+vkT/sw6ODgYHElxeBJW2pEz8I93p8BAHGYMQtpW7IF/uHUooAcGkEDEsjp4T8s/82UGRg0wVx96RgnKCjQ4B5m1yr5ov3WAaNAdxX3rOJlZLfAvElO1uQozKZqhOVIB1nV5Puoz4uckNzo4cbQMUx+wzDAMmJnQgKqdOrvGWHLoiI/IMGDg1WDaD1laAeyaqkFamLH81C4AFy5QnKv6l1FM9qi7mC8zE3RQiMQFCybE/eJ2DhkMpFNLLe+jjPfwoJizVWXOk2YgjlT5GelG5pGj2Y2JHs9zqsvXSomVBXOYd4rqnFQwOxBjPiXJSj4KqXWE5bCMSimxzJJml+oD4CX7mO16eJJr1gzJltaxu5Iyzz4zJ4NWkaMDlphR8v7qPwOTPeQv/8WT24+Dw3kOR1Icjo1+BHSllbgk3hRJaBmTQsqJwEhN4Ki29TqdWCcUezmD2nIRGO8j/1evefbOQ43R1Evlxx5d/fvlopGUbsROHX1trG8dOfvr/NqN+ORflum9OoDxysMM5k+MMUMxX2ZwHJ09o54fu5s2jTcHLfIP1nhdt7T4/hx0cy2kDHYTvVVP6OhG1jXUGDD78rwZ08HUjwqsw8A8RtZ1gHYE9CX70ouo1dCOlh/ZzYnWG3ommG72SdIAa0cvShZiGACzokGJJbNSSsyfppSQ9JSStXU/lZhW/cPAPGlGyzu5lHZU5zM6m0dFuJqF0a9HC2onZYbQ1taTSelaSKVcNeoRtBbWMocb60vruvxcHwJBRq+aIHN6FQeHE4QjKQ5rQ9t0UTLvFE2XT3esK6NdsAGDmWfmaGEGeCKozTwGhkcm+Yf7174G4FkkKaqxKMerA/e3NzAwa/dG4gP/38XcXrxZVobgqY/GMCAZ0Kdwdaid6jKIt4rSQeRbRuD7UxQMJz7bklslO950l2RmuWAlFJ29Mz4yTqA+IBkYiDA39S2Yb17meb3wKMGnBnaFds7UhnSijVLez//r+5ZVWioxm/PIJDMr6omzUCZx0hJPY2BGfktSapnokbT0pTRUEdO9amzakqUi1zA6WVndhRPPpmrXhkZQlOSNDnNU0qCkTV/T7F06Qgx10KRmaZp9Iw9HQ7U+6iicw3RYx9peBdlHi2uv282vD01Zu7us1cNNjqg4OJwAHElxWBP5NW+F9/Xb+Ue1OTCtwWSXT/H1IQNrmPGPtHb/qJPo6KyVXgQU+8A/ehSoD5FHv/3snkw1tjVedYivtQsUuyoxeGSSBEODeJADyxGDz1SXxEXT/uXYPE80kG5f5PTcmQqvl99j1mG2Ql1Gp8ABjE+MMUCu64iBGfgUPghNZBulwLUHSBgmemZ0VkqAWNxdpzvc53KBBCZKn3zea3WgjNr5X7BAkqSlmmEAFBLg0ln+O1zj+TREk7S7KfNyQLM9Lb8UUu5H13igzgxbQ8pay0JkYxEKz5d5vus6fL9meA5XbXRCkBsJG81EfWUrS1iqo9EOtH5oJRkd7zCa/Tg603GsNmzVKin5mS9zHcOA4trZCnD941ZG02zP8SZhz1RILMf6JD1CkDwhKY6sODgcG46kOBwbRWk13rjMP6yDgISjGjPwAPa0nHvAIER++b88rUteE40BA+BlM/ba/3sZ5+oUU3PELSdAGq2epKzBKvOsE2WqyyD+yASJWymhFiT1GXznpC1Wu1tyjwH+ohSY6gGzZRKQDW1+3di2jplhwABdEFO0UTv3BRHxaseODgX82hZuG2XMkBwLXv7kmUNKUDKPJnKBlIJykFA1+yQAEz1mdrR0FnnWvVSNuZ5Eynrblvj6QonXviIuv/UhtSU+WNraNUYBcD+0gZajHTp63qlm9cCv9YERECUbWlrSz2N2rFQJjk8otHtHBcHdiJ+d+9eTfOmcKSUpOozweF4tL9rP+9iRKdTTI1mk72yAV/5DYEsLeeX/d+x9ODicp3AkxeGYyK/6FXjf/QhFkvoEuFDiH/KtSwyaADMHxRT55L85nctdE97j/xHwPOCH96z+xboOPTOKCYPnpHR3dJrWPquTdY9U2Vq7tcWsSHXIjJKXM5BP9EhyVMSaRHx6HsjTvQbVxoAE4znzMu05k6GDy9yXmswBaxupPTZuAt5HJ/ieXggMQ6AfMABOdm2K8clgTjp9yjEJxLiMLfCwQkAx3reSxn75TBTTkQnGHgDp2irHNtPnaL7QLjALNAhIECuxCWHVQTY6Kgsixsa45qB5vCgpUZHsqM7kWETkqQSwSoxUlJv4wMNTJJtjff5eiScgxnVPYXpXSDnle7EEPDANXAbzvZmt8PO0fQne8vuAhRLybb9+/P05OJxHcCTF4fjoFBg4JnsMrNoV0Q+pl0h8/qEdBsDk6V7sGqjGq/UPisYA+M4Giji3LdEP5apDPK9+KME3NvIwkM6d7YskCAfq5gXTicynY6lIEldILSAGuc2PqcRW0jlYJ8HTbECUrl22UVw7YvKmxCj3GDjbRZLGRyZJJk6kVfZQjW3WVx1idif2gWHJznUQMJhGQ5KupSLJSn3AzI+uPcg4ubojGZB617q62mJzv6dpGYogJ6kKRUy9WOK1KomDrj88djlm1IROScmpsvhX5JI9K4soWctNQc57/cQY7/u4dLStlbTphyR9QcYMVUvuVX3A6cyhtKlrGSrIAI+dc17tPyCf+K1Te04ODmcpHElxOD60U2N3c3WAVZv8hmRRtp6hT3+jwwFnKyQmYcZMkHq/PDZBorKnaa2+9YF1igB8sj9QA/76EtrPT3coOp3oARe1qUcpJdZOe7HMhVFr+umOaXl0oOK2pWPPgzkeVBuUejaIT7URu8Z4fiqiTX22Q48SteUiLeF1bs69G9lRVEgBL5NJ2B7vrQpeE5+CYZ2v0wuBib5pZspd7svPza1YM0vL4qeT+rzmhdh0HkslXuuBiJUvnDNdyjMBnRN0PGKTeiRQQcbz+5HdLO0dqPMaBZm1iJdlblIx4Wdl5yL3XUp4zfbXSR6jlHofncBdSpjxmquY4R0gBogFePs/Anj5mVk+dXB4FuFIisNxkf/IDSz56JNxYWBdK0slYKmE/AVvOd3LXBPewn9gNgAAvrSdQbMxYICtD4FbP8924/vWiQ9MStM21XrkHgNIKWGZa0uLOpZHJ0g6LppjYO2HDDjDgPqFSkz9Sw7azNcHJCzfm6YGY+My17QWQRkGDGp+TiIyWrbIPeCbG7lNTUpUG9tcY6vIjMUgYNdS6vF8S6JheXQCeOle7mexRNHwKLnRScIaQKOUATjxgVy6b8b6JHKKuQq3qYvr7VjfurvmRFQ8CG2CsYpgtSusEjP7cqjG9+tk7FONYQB8YxPv8UKJ63r57mO7DAdyvlp6mu5YaQagrkhnBzUH3OdXdvD6pz4/FwD9bB6dMF2T+sKoGL2cMDu1oW3X46I5ITcNwMvhfeEOoDZE/kNvPvXXxcHhLIAjKQ5PjQUpBaSS144y/hHdtMyAd6YiSs2TQ7MjkQoYyww+W5cYPL+8TQJPYm22msq/6hA9UAASDP0esNZWgMF5S8t+9kBS1CnwmBM962Y51pTifQ3gWxsZrFpFEqhNy8zMHKzRZXZKdCeq49Bg2xgA92xmMHx0glmixoBP6duPMpR78T7+fr6M/NX/nMu960+4ztQDto5ct+UCMzGzFZasZqoibM1JyrT1tyrtypln4t7M4/mr3X91CCyWuW1VWo0P14wErYW9TRIuPweuOLz2NqN4ZJJk7uI5Xqdvb2AGR31l9jWAr25ht9la0PlOgJGr9W1eh7JkQKLUNDQXz8mMofDJpcUMJJuhZF0KKdcyI6aAqZjRxQFwWMqHkZBN7Yxb34F35P3I1/3rpz53B4dzDI6kODwl1nLJ9L76MWCpiPy6G579BZ0APNwE1EZe0ODQEk+PdoHpe/X4qA0ZHCoxMB2TsMyVzf9jLWhHS2Pk6V+zBapZUQda7QAZhHxf7q2dSVGtz9YWcI88/T82waf02KfeZKormZOErylJmeiRRAUiqD1QF8+X4WrL97H+sQlBQ/xYWkWuox/KgMiQ++4USMQGoZnGFRNuo7b5g9DakTctc31BzsySdi6lHgnuYonndsECy19HIw6Ar22WmT4+93HlUxAVzVzoqIKKZInaBWtVHohI+akyN3uaFLu+aP/xj3vpGl1Vj48DY0KMdTRB7AP1jFkwNUmcqQKVRV4T1UT1Q5sgLQ7P3q6PAVGK/PlvPf6aHRzOITiS4vC0cCann9V/AgD/0H97A0lCJRahq1j690MG1GUJ+IslEojxPp901W/j4UkGnPUdpuYLCYnDoxMM6BfPrbaf/+oW2tQ/d46ahEFA0XFRAviFC8fWRDxvpE06zEh6trZ4HLWZT3wGz1KymkCVE5Z0BiEDoDraLpaN6Bw9KRmAl/yuzFkSDYleg/kyg2QCuxYqfvVyK4eEGa9f5oknTcJrrO7Dfs7grISgmPBfOFL+GW2d1gyMkoktLd6bQzV6laQ+s2BHW9mnPjNBvZBZGjVm07lI6omjox3+7gKSoFfsOjZp277IbNGxMl/HwwUL7Nz6/hTXUNb28ZDlnkEAtD0gC3h9W0XrEuvJ0MWiZANnKySJcxV4+/4AaBWRP+9tJ78mB4ezDI6kOJwz8HATA9TeSbbqzpepCSnH5mCa+AwOc2VzMN3TtKm4ccASS2PA0kqQ83eDgEPpBgGDSTeiCHcgrb+XyWTfiR5LK5nH4HbXNpKSH97DAFtMxDNE2lb7IQnTWlmVHYtsVx7vm/MrQBJSSI10KY5USUwO1mxAoPqFzJcpql2DpCD1V/uT1IbAVAfIq/x9IWVmSbMq6huj1vVhttrPRa9xfWBdT9rOG2ZALaeeqZSYkFg7db66heWaKOU5XLDAa1CJSRTv3cTMSuLTVG2sz/uwVLRJympT74GvdQqAL+ewadkEu3My1fmvLyW5W8tjxs+pIzravfepcFA8VR6d4H1MfF67ya6JkFWIHmS8Z2oKp9k+beHuyBykwzW7nhcswPviJ4DnH0Re+7cntzYHh7MIjqQ4nBPwcBNw91aSiukOSchsxZ721Ul0aaTdVYWM5ZhBbn/dnrg7BQaD+TKDxGSPBGCdmKbduYMBKPG57USPOp1ORDHrMABecIBZlufN8Jh7m1zX4RozL9/YZE/76zrcZkPbjMqOns7cjSwzoJ03o+iHMjeoaufXkRKDDlc8VHvy0MFUCEpd9llIGcCnujbFuBvxOqmAuhdySnEpsSyLIshIELS0owQo83h91Ndkb5OZhufM833fn+I90/MfBtzm4jmg0iUh2dxi23R1QNJVH5o4Wjtk1IdGs1WqHelGNv9IpzQrUf32BpKlo/1plkrHzrIcC92IbcbPneP6ajKEMRbXZp0JpCMVDtSlzT3kuhdL/P2ytLP3AiDoG6E9ULf5RIdq8A79CZD6bnihwzkJR1Icznp4X/sYkG+R4Bmxi2ZMdBB1ISSJNzLDZ6TcMN0FXrmLwenhSeC760kywozfLxcY1C8/ws6ejW0Gtg1tEpVHJrj/QzXgdQ8z+/LoJFP0hZRaBsXLn2DQeWQC+J/PIRHQEom6yarb7WjGY1+D+x/NZBQTZmhGfVV2LvBf6tP4ba904qhz7nwZ+NxzGIyLKZ/w17XZXj5US/6MgVOdVXVI3ljfZhpp9qQcWxlktmItxo0BUJYOpqWSlXxyiB5FfGTG+sAlM9xmf50BeijeLP3IJhxHKff/xBgDuM5h6kg5S0sp2vq8rsNrqzoUHXA5lLKbtpYPAt7PQkqCtK+xutwGHLsD6HioxLwPKpZOfHEWXubnM/P4uVSTv43LXEs/BHoFu16RZKdykMToyImlog2CVM+WH37C2ew7nJNwJMXhrIb3yc8C0bgMoAOzCBfN8w9+Y2DTl8d70o0iT9BLRZZltPvnNY/xn+KxCXbALJQl+C9S56BP59sXgTd9m98vlJkhqQ1t7s2xEGRM9WsQbQ6Y+ZmtcP17mtSgKDKPmZfdYzyfjW0Gr1aRpZGmiGC3LTGA98TG/XCNT/Tr29TXeJB2ZilfhRmf9p8zT6IW+yQuYWalqEHIQKtuspoV0dKMdnsBPNbuMa7l8iN23VPJWnhCgHSeT5DxPUsinv3+lGVCtG05EpLxxBjXpURIy0zaypz4UqLqspyjM5g6I0Mbe9KFtVgCLp2x0s6Wltj7+8efdHyy2NriujsFc889JGW48Z5lkwDTGDUHJL+TXZaL2kJYdD5R5vF6Cj9Z6Qxavzoz5oYXOpxLcCTF4ayF92d/BVRF8Jr4JCHa5ptLME2kjNEq2oyhREScPUmvr+VIe+E8/ylaRQbhiR7JymhAG+8Z2RmF+sl4sICkxl+bl9lmrOWd3WPWzj0ITH+QetaNE4o3h4pov70BSMaBqw7zNW1tvuIIA9hXtsjwPmlpVafgopTAPPCYlZjbNwbMHA1CE5jqtGvN2ESZdTUlPlDscF/bllZ35/SkLKXDAxMhF6nP4473+P26DonKQtmGQKpfS+JzLY+Pmy9PdShdRxEzQVri8sBruXMB+OpWZh90sOFlM1zH96dIDpsynkB1JpnHdWxaPunPIHaPMTPWl2u2rmMZpVaRpMQvmneK4v511k49W7GOp/pQMk4ZtTelhPf3UM2GX3owcnXJ2oTYW/gPwD2bkL/mn5/8OTk4nEFwJMXhrIP3if/GP9Al+aM9DPjUCViXRG1ohlwq7Jyp8PXcsyf8qgTJ46X1E58ZCg18gGUT1H336FkxmSe2+TJRWVtyhwHLSmN9lhcaA/7bvghUxRF3ucAU/uh036GIUZcLNlPoklnqM/bXub8otfkyLzhAcvC9aSuH9EN7go99zsHRp/ScYkwsloD/9lzg6kMMuH4OdAPzDtGMQ0/cZb+5ka25o90vg5AkohOtviZjfe5/KDN7EvHe2V8X0pQbSWkKYeqLnkUJ3yAErjnEbda3bV9BJgHeI9l4ZILXbcei3dvpDlDfYGZ4y0XgoSmSHDWkOxZ60gXWjXhdghx4aJLXP5HWaC0nBZJ5UjK3WCLRUo3R96b5Oy1hJT7wQ/toLHiwxmsPkCR/aTv33QutxJN5wOcupOZFScre5uoS4XgP2NOE97efBiox8le+6djn5uBwBsORFIezD82+CUK7Eev1FZnMvFRk+cKDPcWnPn8XBwximt5Xr4yJHgP4sSbZ+vmTUuoAuK+5imUf1KlVXUXVF0QJCmCzfx6d4M/fXc+n4voQeGAdA27sAwsjQXuhLHqEAktFF85zzYFkMA7VSMA006K4/Aj/zVb4xL+/zn3r0z7Anze0SSBqQ5KZCxfsiT3ISGSGAYlTmFpr9K5xksO5irnoAibqBExX0ioyWI/1RXeT8tp/Z8NIVibleV06y4zIX19q1zKWbZ4zb2MFAF7XKw5bpqmcMGtxsMZrOt3hfVK9iup5AH5WdMDhVJdrmexynfNlvv+ag9y2nDC79cgk752fc7sgtwyRZqQ8yTY1ByRzvdCGKqYey23rOzxG7hnJe8HIbCZFdchjtor2GZ2pkNC0Slz/ZTMyC6rGdemMpx97lNmjSgzvr/8z8n/yT9f+fDs4nMHwT/cCHBxOGstFC2xdcUhVsy8VHKqHSF1aj3Mpm2iGQzt9DtVIXvrH4evHmqjr5QxqOxbNwj71pQsjZ5DSbhjAAvarHqfb6dWHmMoPM2ZXuiHLBBpU48D2V0q45sUS8F+fxwAXpQxi1SEDsBrHaduxYqrLAKglm1LC9/g5tRPbl6zkFWTUbOhUaF/OP/dsAKIn4uMtLWvRHkVjYMQs9fnelowxjgObB7Rtievycupo2gUb3PftDUIChFjMl3m8F+9/csbj8iM8/8yjcFmnWOs5JaJdeWDaiIS2IAeik2kX+Fl6YowEQknh/evsvk11SVY1a1cb8v1jfRNiFxMTFqdyH7WstrvJ9/pyzXaPkSh/Y9OxP3sXz5lQ+NWPAT/7APAv76FIO/aZNRrrc81HqsxsaRlrS4uvz1SBhRK8e26Hl73n2MdycDgD4TIpDmcf3nAf8MXtzDwMA+vW0U4SgH/Ye+InojNsACMj6k0y2TPn0cS3Dpqnmqx7tLX9VFfKHKGUh+R7bV9Vt1QlLDsWuY/MYzAJM4ona9LmG4UWjJUgBCFJVXVIG/9YMguXH7FjKwFYC8+dA7otZpr02gBPnphcia0klkFKZGvsrxIzCzN9lKbHkyxQLuU4JSTqAdKJeF20FXpLi7+fqwA/+gTJxGMT1hLdLvBebWwfeyBjN2KQnpfsRihlrJkq70csmY5uxIzNonxWJnpWhosD3sdczrkX8Xp3CiRuqs/pRSzdaGt7KeFnTL1QdjetvX0QsLNM/U00y6R6oyNVklmAGbN9DV4bLd3UhiQnR+MfP8x/imHAn3vh6s/uzgWSvk3LK58L1wXkcDbBkRSHsw554bfhTfwxMxFquHakykChbbya1i+NtBv7st1S0XamQWbbEoNEffDUBAVY24FUA2gn4ho0c6M28RrU9L1q0LWrxACpZZB1HRP+FlKWiA7UTWz79c2cPP0v/q+VQ3vf/iMG39Gl90IrQ82XbYZQOTGhrV6bo+HlzKKE2epOlFGEGTML92zmfKOprv2uEgMLIdezUFp9rT1wLXuaJra9dqTUsa7DUpLOtqkPmRE42sNE0Q9Z6lgq2rV+0X6e34PTPNetSyRDD09Kh0zGY3cirmO6a5qbx8dpoLdpmYSwF5HUNAaW1WgVV7eYX7DA0p12GcWBXUOdmKwZHPWbWSrZ/VJDOh3ZkHnMzh1PJ6PQTGAhBYahzWwC+P5j7MMb3Ezn2mk3E8jhzIUjKQ5nJfLnvxXe33+SwWEQMiB3IxMrbmgz4MRSAiqmRhr0n5ebXf7hmszvkYDdDxmENWCU4+PPeVEr91yezvWpW7MANTFE6xSAwkgnUJABX9/CQB4HzIx4OXUho1mKKWlLvfYAvTz2NVYff7xPrY6m+tVPI8it7Xddx0oV1SEwfhTR0sGKxdRM8AAR2garPVkUjQEJwHc2iAPukOWjIAMafaBdtOvWjnhNukKUvJyljgsWVtv7bxKDtwenSEI3tBnot8ufqyNVkjYVmH51C7Mw4z2ed5DbdGq1lG8VqWXRAX46oPHwNM9tT5PnooLeTcvMsmlpS9enQuy+ZN8O1K0r6IojwJe2kYTl4DgCzezl3kgZUIzlNi1bhme8x+83L3O7B6aBV+069ucN4Lp1wrRqfnaPcY1askp8krGjs2UAtS25B+/wrcjX/+bxj+XgcJrgSIrDWYv8lW+C950/YgCZ6tIgbdMyfVLWt2VgmzicjvekPCGpdn3SXSxZW24hZZBSS/VuxD/+qi/Z0rIuFIDBQf1DiikDaUkClwpbJ0eyC/UBCVVbpukGGdf9jx8G/uZiywDtbvK4rzkqza/iVI8ZIW/Xn8lxMuD5iwzUR0p8LRahaz+UAN63da8lAga43mOVuqJ0pTzg4SbzKwGom5jukjw8MsHjr+tYOSsV8laXjiudljze53uPRuZRHNwuGLEspiQNy0XqLkYzWY0BCY1mjra06P67pcV7sSAuw9/cSPJzyawR0DiwzJdqXwBe/yfG+HnSDJkKtHPPTNn2NEkanzvL66ZERwXaKxk0Mb/btEwS9531zD6NZoc0q9STcxglhUdns3RYop5H7vEzu2OR9+GBaWYGx3v8+cX7Vl/jhbJNWe5G8PofBFIP+QXvXPuz4eBwmuBIisNZjfyqXyFR2bgM/MyD/IO8vm1BrJwApZEsSF2GtqkYMvGZPemFQLvBgBplJBvqVKqD8pp9BsmpjpEMNdaKfUm3i2OsBzMjGw38UcpteyOak8ku8MbvWObi73cy+Bxr+nI5YQfMtzbYnJxDMvulGq+eM1OV6c56/keVTFYRj7Weto+F+fJqLYpmAi4/YoP/dL5QNzJCoFmI0GOmp35UCedwjfevEgMv2UtisXuM96MXArNl7kdbzIsJiY7e7w1ta/PW7Np4n2sDSF6CnB01e5pGCHW9AO9fp2D6n3Vy7b43zfsYZNLhJCXF/XVmTi6ZtVEEg5E1qqj3qkNcqxrQ3b+OGTN16R29v4o4sPlQXs4MiXIV1VcFORCkZmrX7EtnmbTez5dI4tRkcF/D5gMtlC07VIk5vLCQIl/nSkAOZwYcSXE4+zHWZzAAKHA8etbK6B999fuYL5thmHqPLBcYBDoRA0NXOjMA/hF/aIp/2BsDabtti8g1NWFuu2DBWyf5Hq6RiKguZi2NwKjY9ZW7zJxOn8aLqZVd1OZ+a4vBvD4w8zUVZZZjC6K9H/C/uWRNVk2XPlosCzCbMlde/Zp6s1RjIJG2YyUcqW8GeeXYNC6jeP5BBtRlKWfMyGwbHbq3SdqRLz9i79HxB3uavC5TXa6jEvN+zlRYIjpU4z1vDuzalhKSisNVko0H1gG9BV7bXWM8ZjkhCcg9nnOYcY33bKZ+aKLH65CKkFbLLkeqJCnaidUTPUwvBH5kt62/La7IWs6JxAV4ocy1T3Z5Xh0pJQYiBG7L53hryzQ+AxFb37eOBC3MmF26bIaEXEXRmQcsyqygsT68g7+PfOO/epofGAeHUwcvz/MTUAmeG2i1Wmg2m1haWkKj0XjqNzicNfBwE58WL1xYW9Q6inaBf9QHIQ25Llhg58uuMQmgMqW4F5nFejkGugXzVZnuWjamOmQwUit2L19dXlGX28yTfUmQ06nDx4OWC4Yj5GSpZFqab2/gWp87K0Er5Vo9MJBXY2vRLh0lktVhimthvkwCMVvh/q4+9GRydfSwwszj9mP91fdgVK+juhcNjGpQVom5vjEZpBdlJIqaifn/Lubvc5D0afDeuAy8bO+THX+HojNZLpJwLIrmZ7pj/jJf2cLPwOaWlVMact/nytbxtXFZxKkBdSaTXR57ucDPgY4p6Mr1bvb5vZry7Vzk99uW7Breu4n3Xq/BlhbPux/SF+WH9vG+7m1aZnD3GM+7MSCxWiit9ruZ7FH0u7vJ63bZDD+bauT37Q3MBqm7biGVbKCQ2SCj0HcYmMHfpmXkk//m+J9RB4eTxMnEYpdJcTh3UIsZlP73BQzShZRZCQ0i2umiBm/bF1db32sA0SnIqWeOssUU6ILBW63kl0oM0nMVIGybg6r+oVcCoi25PszxNgcQPgVByT1pXRay4+e2rmLCINYYMIiWk9UZIzUjmy+bC60SlJkqLdcP1YAXHmAZAmAQ1I6S/Q0T5/r52qWgo6cp+/mTRwyo220OyUzl1uWk5mtqfFdOmC1QYjJ6Py6doUakLS6+ms1aLq7dcl1IbbryP+zkvZroUa+0Y9GyDmHG6zHWJ9FpDsxnZRgwc5F6zMbsXAQe9Y1YKBlTT5jMY+ln6xJ1J/du5DmNOsEqujIIU4mMZnpmKyQalx0xooMa77Ea4M2XR0qS8jnrFKwT7PFxEp39Dd6PrUvMSF23m91hiyVmU3IACEio/RwoiTX/UoX7bfZXZdBcy7LD6YAjKQ7nDjQY/Pz9T/6dZgzigE/J69sWtA/VWOYpi2FakDEA7hozEayWBeKAv1dPlWUx51LnW9UFtIpAXrSOmoRp9BULfg9GVjysLVbNwTXG0iVUjvnaUolZhn0Nkoq1uo5Uz1IfcG1+Djw4xsDVFaHocpGBctuSBOg+z2G5yOAMSEdSxA6kxoC+Gzr35ug1j7YUKzQLNGoypy62gLXj9kOx9U9N93H0flQQfOkMr/GjEzz31DN9ylq45iDXXU6snNTsAz/+CEnBUon36+pDIqJOeG13j/G4m5e5j+UidR0H6uZlMlpa/NZG3q8NbTHKk2uhTruA+etceZiEY8rj/utDloMme8DFszZssRLTZ0XnOq3rSNlL5v1MSVanvkwSrCMWvr3ePl8bl7nm5QJJXkcyaLWhTbyuDblv9Y7pRtyXjiLIAa/4HsDLHVlxeFbhSIrDGQvvbz/NDMaL9gPN/qn54xillo4fLU140raqU2Ynu/x3z2bg7q38w19IWRo4XCOxUbv4cmJBRb00lop8QgbEGEz+qzX7DIg6oVk1L6NBfxByHdo9FORcay5P9IWUhECNyO7aCjxvlgShH5hFu/qSRBm7br6zwUpPY32u4YX7rVSigfRrW6wkoxmgw1UGuUD0F/sadH8dJRNHExSFln4aA14HbWcOc55fJbaumcwDMv/J7c6bl/lZOFC3Scw/tO/YowxGoQMaR6EtxJPShTVqSb+hzbVecYRkMMy45l1j1pasnWGj+63J8EPNAK3vcL1f22KTjWPxfXn1Y9a99bcXs9zTKloZcF+DxPQiaUmfL/OzMlfhfR+EwL6qlRe1VLZpGXjpXu7jUG21RkuzbYUSr+9Ej59RJbIAj7l7jJ/fTcs8brMPXLC4sg5v7g+Bi+YcWXF4VuBIisMZCe/rtwNbxE/iwSngonl4kzf94Dvuh3ya1GBRTiyojHbrKF64n0+Y82X+ka7KE+jeBoNmkPH3mklZln17MPdZP2cg1Cfb2tDakLX80Q8sI5J6ZvuvVuvaTqvDAbW1+YF1PJ97N/I6VWObqDvV5ft6EYNeKZGWanAf6mmi0OPtr9sT/0Xz3G6pxHXsXGTgvuLIyXUDKbTzSWcaFVMjJ1pWCvDkoY21IYnajz9ybB3NyUDJTTFZe4K1ep8MA5rntYqiTwrMnK4bmZMuwGzNf38uu3zmy9y+mFpLeykB5urmgqzZrgvngUcn2TaceSx5XXOQn08VZWtrdDii1Ul86wzSkQiK50qnUTcy92A1CFSTw9FynQpvVQhejWmEpx1OnQLPK5e263UdeM2bHFFxeMbh/yBvft/73gfP8/Cud73rmNvcddddeNnLXobJyUmUy2Vccskl+MAHPrBqm9tvvx3XXXcdxsfHMT4+juuvvx5f//rXV21z0003wfO8Vf82bNjwgyzf4QyF9/XbGRy60sERZXyK3TW+ur326aCUUDy5Qdpch+ICejxsX7RSzUKJgaeSWHeHahRU46CD7AAGJ3WZXcmUBDb3RcW3YW7npn4cagpXEA+X9eI9MtFjENrYZmZi+yLw8t0cKLdzgeSknFiZZaZi32tWIxeCEPsMiuq5ofBF/KtzgVLPJi3Xh09uHVbsHmMX1K7xtX+f+lb2UcI1kDbbfmBdWiq0VQSZZbOeCvHRTHMEd2/lZOETxTAwoez6Dj8/Jbn3y0WOZ3hoituGGfDqx0lOtraoA9lfJ0EMMwb8uQoJx+i8o0tngZ94CPjJ7wO//E3gFbuYySiL7imXbFocMKM1X+bncEuLa9nfIIE7VCPRUA+ViZ5Ndx7v83M/1l9d9moXKM59cJrC2tkKz7Usxnx6vb+6hRkhnRj9/SngUA1e9p7VXV8ODqcYTzuTcs899+CjH/0orrzyyuNuV61W8fa3vx1XXnklqtUq7rrrLrz1rW9FtVrFW97yFgDAnXfeiTe84Q146UtfilKphFtuuQWvec1r8MADD2Dz5s0r+7rsssvwhS98YeXnIDjOHyOHsxeqDdEnu0LK4DVTsS6ZKGVXztOFnwN+Cvg+kIp3x0KZf5iPniYMMPjrQEPVh6zvMIAdqjGIeDlJQ31opZHRjMhAiEISAG2fJEFNwQAgEm1Ls8/9zFWs06JTsKnK2tI60QNe/gSv17J4fQQ5NTezFWY71IZ+pmrD7zYuc/uJHmfkfGc99RhbWgxiEz3zM+lFwJGCkYZSYlkVwLp1dHbN3iYDqGpZRluDAV6TgZxzlJk+ZVTfskJQjtK8aOfLMGCgfN7M6t8fqVIku67D7IhmkhTqujtX4bZHi3zXQpQBYwMgblv7ck8+A7qv0ZJTfcAylOKN37HvrzrE+9ALjeSMkj31MfnxR+ihou3bT4xZdmNdx4THD0+an4+2Lfcia88upEBB2phrQyvr1Ae874sl6wbTwYfFlJ/p2QrPrTokGdZBkkXJPJYSZpgunQU2LsNLf+/UlWQdHEbwtEhKu93GP/tn/wy33347br755uNue8011+Caa65Z+XnHjh34q7/6K3zpS19aISl//ud/vuo9t99+O/7Lf/kv+Lu/+zu88Y1vtMWGocuenA/wcpISLcP0Q/6hne7yj2mU2lPjBQsnNt9kLegf4dqQf4DVGj/1WObQcobqRS6asyfWZp/BvpDyD3gnAjYO7CkbWK0pUc3LctHEopnH42srcrsgVvpCzNShFhBCI6ShH3DYYJQCERhwAXvqP1I1zcveps2qaRdYxtjcYqZjqWjlpwUxSdu+yMCe+CQEk10GxrEey0pPjElwS+jmu1ww4e9MVQbq+dzXvgZJipa9akMZRyDXX9uQPTCnqz+nPu+3CocfljbxwzUSsEM1nt/Fc5b9+cpWnud0h+c12eU1e2SS5zQMrMOpErNksVTiPT0eitKZpG60m5d5jjNVktFFIWTfn2I55Kkw6i9zuCZuxUfpapaLNusnSo0w90LeC3VG1pLY+o4RlYJ8ThIhwerVU0xWiEuOm4DLAW/PB3jtwwyoHJbtZD07FkmMQyGSOi0aoC5HNVeHq7bGwzV462+SW3vTU18LB4cTwNMq97ztbW/D6173Olx//fUn/d5vfetbuPvuu/Hyl7/8mNt0u13EcYyJiYlVrz/yyCPYtGkTdu7ciZ//+Z/H448/ftxjDQYDtFqtVf8czmx4379N/BrkKXpU9zBftimyhdRaKfc0GWTvX2dBfRSaqTgaarDVLohrp/wx7kYcWLeyqJEn+vE+/5BrGQZgQNR2X/W6ULdVNWTTTEd9YN9rG24x4bpHSzI6WyjzTA+hGaTJ3mqR6joZvpd5PJ+dCxRPPjIJ3D/NYJhL5mJLi6WIunQgHZSyw2yFOpuvbTYPlp2Sqdq4zPNoF3icxRKfxB+eFD+VJl+LJOOlU5szjwHz/+xgKQHg+epTfimxMphmT5SgAKsHR7YLJHRbWtY988gEr+W3N9CILPPokzPZM/IyLXqi1Ofati3JpGPP7OSfCpuk+6YaM3i/9lFmSILMMkvLRbv/wxPM8I73mHUa/cwulMWYTzJUsxVuo+f++DiPoRmRVpG/74f83aEaz7U2tOnH6zprE/mJHt2TvVxasPsiYIZ1IF0yy+12LPL4OxZJ0DXDCfD/w3ifJaSlEkc2PPafTuwaODg8BU46k/KZz3wG3/zmN3HPPfec1Pu2bNmCmZkZJEmCm266CW9+85uPue273/1ubN68eRUJevGLX4w77rgDF198MQ4fPoybb74ZL33pS/HAAw9gcnJyzf28733vw3ve856TWqfD6YP3/dv4x3K2IoPTPHsaBPjHc6rLJ7xyDPTFs6RVtK6Lx8eoFzlY4x/MiljSr+vwD2k5Npv66hDoVvmH3YNZzG9b4rbaLjyKIGPKX70xlEQ1+wyoqofwcyCWDMuEzE9R87Rm38pWgGRVwKBcl8GEw0AG0kF8XSJrf44yPAk6UfeJMYphlTQoydGncZ2s/LwZEo7vrrfyTSWzAYBHqlx7QwLhbIVkpSSZo8QnAVGnVn3yL6Q2SG9jm5kc9Z357npmLqJMRMSeCYczrG5RLqZ8fbbC9aQ+yYk6ph6os8xVlPWM9xlANaD70jnUKfEccnD7zON5aEnrRCZeA8zGbF9c/dpET2bgxGzlXiixxKZZs2NNbV4uMgOln+3DVX6uByGvuYpuO+IV85x5Ek0dpdAqWuuxZuKGAUsvNTn3teYzyedvRUOiPLws2w5CE+UCMipC5iepCDeUbFRdsmJNyR7qCIj9da4/DuA99ilgrI/8Rb98YtfYwWENnBRJ2bt3L975znfi85//PEqlpxAbHoUvfelLaLfb+OpXv4p3v/vdeM5znoM3vOENT9rulltuwV/8xV/gzjvvXHWM1772tSvfX3HFFXjJS16CCy+8EJ/85CfxG7/xG2se88Ybb1z1u1arha1bt57Uuh2eRYz1+WSvT2nqsQHwD/JEz0oXJTH+OlDnH/GDdfGDaPAP7VTXZu/0Im730BSfLsf68nvJXCwXTAeT+BQijvUZdI4mKQDLRA9N8Unzojm+N0rliVrMuUY1G3Fg1usqsNW0PGDERs25opTBRm30l0r8fhgAnre67fX+dbwOpYRi2ktnmRE5XGNnUqvI1mPArlsh5XV4cIrBe7LL9SVSXliQTpJc/DmUVDw6KXb7Eqg8MODqxOdOwYSwQc6v7RrvT5iJGDSx4YSjBEF1FkoWR7t9LpuxMonOxhkVHl9xWBxhRbOiXVjfm+Z2Ov5A3Vknu0/t9Hsi2NLiv8zjsaLMnHD7IYP++Ii+J/H5WRwE4hwsnVbjfZK5UAiwDry8/Ihlx7QMtmlZTOMaJCLNlGW3UMSuOoRSkXvMdC2Un1zaOtrrppisvi5qzR/kXJN+Pg/UuXZfMjDqjDszQijDjGXJSgxv+X3AA9PIf+jYD6YODsfCSZGUe++9F0eOHMELXvCCldfSNMUXv/hF3HbbbRgMBscUs+7cuRMACcbhw4dx0003PYmk3HrrrXjve9+LL3zhCyckyL3iiivwyCOPHHObYrGIYrF4oqfncBrhffuPgGKJfxgXSwB8wJMgrYLPbgQU5OlZBabLBRPYLjLVjLGemVUtlGmqNZAyTDVmsN/bBGpige6B+6jEJnp9YB2D4O6xJz9B/8RDzFgMxCVUSwu1IY/Ricya3pc/8EHGDM8oRk3Ygnx150oimoxhYBoWTeMvlHh8LY3Ml/l1qUh7/41tE8BO9GwC8FjfMhF6DSd6wAsO8qsahO0eY3apH5q4MvZZ3inHFqxUM1IdkhQF8oStg+86ck1nKsxyXCBt08drXdZSX+wD961nkNfAu69Bgri5xftaTkwYG6X8Ny1mZ/UBMLue51hKjDCoBfzT0TEpwVQ8McbzX5D29IvnmBVJfLZRq4C4MeDaUn/14MFSImZyRb6u93Gyx7UervF1rUips2xjYNm4+pCdYeXYyKtmwxKfa1CTOM2QPDpBInX053otaHt2qwL4A2u5L6QktkpqVOy9sW3ic9XDiEOz9/efRP7KN538dXc4r3FSJOVVr3oV7rvvvlWv3XDDDbjkkkvwW7/1WyfcbZPnOQaD1anQ97///bj55pvxuc99Dtdee+1T7mMwGODBBx/Eddddd+In4HDmQv099tfl+4R1+ULCP8KZB4SS6chEy6FPbDNV/vGMJYikPv/Ab5R6/CHJa2ce/+j3Iv7xbUmZQ91jE1+G2YlGZbrD7w/XmHkZDa5jfSuLqKeGim51LtDo4EHAunxGoVkjL7cMA2B/5JEZGVKR72zFXE81i5N6PM9ZIQSjQVjJSilhYN01zuzGc+d4fsOAX7e0mIkAGGxLCc+9VeTatLtpvA9ctpfZgz1Nbj/eY1alEjN4jffo//HEGDAo8z06bbgxOHYpRKFGaXptH5zi3JxORKHo8w+SJKmD7oXzplfSe7Oxzde0+6o24PU8VLPOmvE+r/nRZm9HzyUCeJ+6EadUq+aoPuQMoE3LLKElvpQBc9MkHa5KaSoxt95yzM9rOaEYWAdHbmjzvh+qmUZJt1+ZBQVe4750fulwxsUSs2gzVcvGNAb8/zRfBgpNruH7U/x/sW3pxMtd6suj4wK0M2qhzHude7zeif/ke6tmegfq8L72MbrWuhKQwwnipEhKvV7H5Zdfvuq1arWKycnJlddvvPFG7N+/H3fccQcA4EMf+hC2bduGSy65BAB9U2699Va84x3vWNnHLbfcgt/+7d/Gpz/9aezYsQOHDh0CANRqNdRqDDC/+Zu/iZ/4iZ/Atm3bcOTIEdx8881otVp405scMz/b4X31Y8A6ecIf71npQE3UigOgLPX7jqSTIxG4lhP+kQZkMvCS2b4fqrEjSIPiUkkyMrCsylLRRJsd3+aYeDmDaimxDENzxDBr9xiDgpKj7Ys2oE7FsiteKTnXezRByb3VBlxHZxiC3NLnXkaZez+kaLUX2VA+L5fMgsx+CbPVnSZ7m+Ig61FcOV8Gtor2QMlZu/D/Z+9Pw2Rbs7MwcO29Y8eOecjI8cz3njvfW3OVqlRSFRoKMclg3GrbAgMGhAoMsgBjUNHQKtxlJIRAgEGiJYNtqRncrablB5tBSFCtKpVqnu48nDnPyTkz5ogde/KPd71n7cyTZ6rxnrqxniefczIyYg/f/uJb61vrfd+FQGyiuIRTfVW5FdxfksPgPL2N++T7A80uXGlqFkS1XJZGVq46rn/N7WyjBuffVPVezgdiMkgxXm/gnBMfz5oN+04OMJcKqcipHj5PBtQNFVMLEgRYX14x5de8FRVjsVFHmYTljkqEgKgc23P+7su4ji+vIPgLEs2Y5Ep1kwICwWkBY1fXLF+iaZJyhGOywzMzh44gmGIAzuCG2BP2P/ITAIh3qsjGVDRjWJ2JJJ6VC3crOH8lwpgxwGEJ8m7mZfa8M8cyLceVRUVwj60p5igByDsVcT7zCyJLI8nO/dl7nxdze0Pa11xxdmNjQ65evXrz9zRN5UMf+pBcunRJCoWCnD9/Xn7yJ39SPvjBD958z8/+7M/KbDaTH/iBHzh0rB//8R+XD3/4wyIisr6+Lj/4gz8ou7u7srS0JO95z3vkk5/8pJw9e/ZrfQtz+0YbU/arQ5Mb7ygosahYD5YZfAVVMivRUjDsIFDMhuBndYjjXGlih3exbRTLZmiCV43QPtsIDRzIcgixKjMP18FFmU35Is/YI75mP+rh4e6+Isc3wbvTLjZzIDTH4CJxLBsxKOYa9gnArMRd1GfYIddncOJuZrRdEdzXe9ZBsQ49U5c917VOwUEisthFBoe4ECcD9qFbMWwHe77Q2NCPuAURY/Hcj1GOfasKpzgo2g6+puW4Fb3/Ky0rOZw/wH3UQwvYXBEpzzCGDGYe2zNFYFLY9yoWcC2N8PnNOsboC2sIyBhoPbl7+Hr3KqY0W1Ds1CDAdVE3h2NLFhCBuwclE4ibKR4p0LIQRfQcMZ2U0MPxOLbUPxHB9+jRfWS49vQc15oIKtnmYKZ4GIK4N2sIwvsBBAHzFOnjjHM2dk0E0NFSJbMruxWUlA5KGP+1gerzDBHM1GYIGh0R57mfFbnalOx3/8H7myNze8OYk2XZHVbKby27n/bQc/vGmTP4CeAdyBQRMcfWnmB3SDzBWBd9AhAZmFAxldTkILaSCTvWiuDv26pxEXqGV4gU1Lgwwf8pZT9RR/2wUluPw1Mw05CJSY+LKDYhu/eU+lGLXThAXs+JAY7/8TPaOyi3+w0LcEyVCNfanIps1wCuvNKCg+WuvhZC3n6zpp2FVfKcMuzsVXO9rhTYMsZxv4xx/Y9fsvG8qR4ruM8bdTjGyLXuy47g/0fLJ3eyZ1dMyt3V0gnVfgdFBGLDIoJPZiTO9HDvHPMDFbV7csdaA+xU4EzZK+hMD9fMYO2xvcMicdeaON/a8LB8furg+eSzD4liQDIdK2rTOIKgh4wttgFYGyAQOShptiwXAAyU3VOORZaHKH0ye8KsBbMoR+fkf3hIO3inKP+0ppi79RDzqUKMkwZAmeD798QuslAn+xZUUyTuOCO2hcq2tBeWcP8TH8EQNWvKkQHWdyqYsytD/N6aSrbyF+59fsztgbb78cVf80zK3OZ23/aZEyqMlmJxq4VWr6djpBAY/X3sWGBSig2PwFS3l5pMfaS70klBBdQiY5Kw3r/ThH5IKYbT8hNriNctIQAYKm6Dmio0PxHxFNjq57IGR8s792PUDBGxhnoicGSxizEq6GAsj6Aa2wyRzbheR3kkiPF7vvQzCPB3RxCUrAxFChX7O8s1V5umXEo6byk2EG/+/bRYwa7MFFQikX2ld6838O9x1NijNlbqbXOKIKoSWYfe63UTz9urWKdeZtA26kbjrs2QGdip4hgMlFjiOzHA/eyVMV5uhsxbPkhh9mSnevgaKcp36JmJBaxBbPMz0mwYs2LFxBpRlmLDcGQOrmWm5ZlGiO9AKzQwNrFbx7GT+gECz36Ae9+qanAQI8Darah6sY5vRctSvRJo6w8f3KrCe7sA5eVFXOtbN29VZ35qB/MnSPDcCaimyN9Awb/VoWYwxyK9kjhbPyfSnkp2+s/dfm7M7Q1n8yBlbt98q83AfOkrrbGQQbI+EyzK5cjk6DsTBBFc2N3MhM+aUwQUiSPiOkZjJb6EypiBHrsleH/mWEDSVqG0rerNHZ50Jvjs8ghZGD+9FUjrZiKRY714+oF1q/1q6K4MCFg+uqbBQ+yKnN7HNT50YOWn2IVj2C8j8Lve0LYCnpVCHtUgjpTTE0NjYmR67RzLqZ6X2aa37FljPBGjTIvAKVciaJ48vY0x+oRS/r3MQMVHQaoicK7dEt63MkRwQU0YPrvEwflKIbIkO4q/qUbWGPHkAAGHCJ7V+X2Af8c+nu/qEA60H+DfZ7bhoNmI0UuPv8alEc75pRWwoXYqmEfsBcVnVA8tk8KWCLsVHHdpjKCRZbRMTMl1WjCG2cTHnGWvINK+l0c4HgPQo3axbfOOwNmzXQQSV1qWhRJBQOulkM1nwL5ZszLUUXttQaX8VYV2aWxZs3poAGd+55ZHuG/OI3aTJqbMSUw5d9g2/ZcgEec3/ieR7apkP/Cf3nodc3vD2TxImds335i9WBsokFOzCJ2J6U30AqPpUgOFOiKUVvdT6/nDv3U1lZ4JHF2m9Xg2zFsZYldM1dNhEQs4nRZBi+UIu/rW1JzLUcs7DjryryZAycSE3JixuKap0bGWL57ctYxL5IEFk2gqf+wj2CJ2Z1KwDAPt6E555pki66BonXxLms1aO5IJOerQHtmH+itxRmsDkfWmSDGyfjRv30Cw8NoCni3ZL6ljYFteVyWy3T6zAMyUhAWR5giOeOKbUu1+CYEumT3s00PWS69k1O3fOo1y0Kk+nH9b9WJ2qiLPLuNaD8qmpbM8gtJtpKXCBc1QlGKbh/UQ8zXRct3CBCWUzMF72bGYJc1Ig5vUscyDnyLgChSrslfBZ6qz24NUH9vDPbkZAhZmG681TQOHOis9ZVqx1USoweZHz4m8ZeswNuWlRXw/OxMLkGYKvI5cA55faeKa3cQo/5xPPQ38WCZLHZELbdxnTbMszNbVgRFyfv0XJfveP3z8vc7tDWPzIGVu33xLHSy8lIbnLo9KqU4mUnUNVHujjjo3d4ulCItvT3eRZO0kLpzK4hgOmxRYlnwY8BCIO/aR3t+rmPbKqx0snFXV/xgUkXn4epuTWTPBsaqQEpjLe9is4bV3Xcdrw6Kpsr62YKJnj+5j579Txa79atNk9SnYRrwFMRatqY1R7Fq5ojG99TrHvshnTgJbcbaHMSXFl6BPEUv5H2h55WIbn+c1ZAJnOQiQASE1u6rAVhEDP7sxpP87YwQP1xq4p50K7i/TkgubAXqaTQs9nCt1MMeqERwoS0jX6zZfLrUx/8Y+jleb4TwcZ2JEqGFzUDJZ+Ylmu1aGyIgkmu1j5icfvFIEjpTlzEF2LP8eJ7PyUfk2gS+zhL3AuodT4+ZG3boqk6LN7FnimC5PZ4KgZL2B7xQzIJ2JZu96pv9DZd+rTWOz8VmTIbZfVvqz6httV0TG2n9rcYxnwvIVKfvcPPQDcdb/NgLj3cocs/IGtXmQMrfXhwWJAS2ZdvdC66VTiuEE2CyNuIXazNRNgwQOrjpT2qPgddJzb6qVRqZAuqs71JEyZZ5bxu6SzjdPz2Qjt/tlq3ylxkW/M4HzfHYZ10FsgyNwAOsNOK4TuvNeHgEXcKNuoM3H9gCO3FVFUwYpTnYYEEqjMNqrHZO8j1xgPo52n2amK1PHv1HDdZGlU59BDTdIRF5rA2NxpakBV66cRXiLp5kAiqexbEKA78rImu3RznXtfmbKLiK2QwTPN9DMx07V5Ph9DYTYOoHBxxdXDX/TDOFcRz7mT31mYNFiap9vK9V2o45jE6w80M9EylCaHCkB5ntGFVJkn/Llpn6ADEUvQDavV8IcjzyUq+paqhwrTTtUUbXTfQRtFIWj0q2vFOwTA8yrTDMrbEcw9PH7yLdgL3UwPgQds8x3qY1gY7di2JT1BsagmCCI7JYwXl9YxbMjxupqE8+UbSjKqgVUVcbSVQUtn0IQ53zu5yV7xw/f77dobg+4zYOUuX3z7VQfuz46o8QREf23IJY9KKTWTbcfYEcaeSIpyz6CRZWsmqGPRZcBx8Q3qidLA+w+XIlQFmBTu16A4CZQnRQ3E3nnDWQivhaS6vdiXiriuEZrdQT3wR4vTLe/tgBhtqMlqBODw5gYqsF2JshMUKDrqPUDOMKrTZPuf2Qf4/4bZ+F03r5h729PELiMivj3WgPZJlKUz/YUyFkTWZyYSN5OFY4pcUWKOdr2yDdp/SjB79xhE1cxCA4HKXkhvNUhgiOOV+JaCdBPRb79Gpzoi4tWgmDH37M9fLan1OCdqomnne2ivHahjWNT9ZYYDHYfjlzMTTKTiDdhr6A7qd1mgs9cbmEerrCcVcA5z3VNRJAlFs6VfsnGScQCtNbEWiIQn9MZY45Tsj91RBKlE58/wBzg94VaPKGn7LvI8F2+bgxSxQs9u2KBH0tqLHvNPASfzSlKfHsVC0aIHeOY71SQKXzzFt63NBapRuJ86R+KNKdzfZU3kM2DlLl9862jdf3QM/GuIBKZ+SKiGRaCIZm+XhwjiAk9kbqmmEuxSYjPPJHVkUqQe8bwGPrYyddVE+VyC868WzJHRYaFIyKVHHsl8m5lMtzJjvZG2ardG7slb/myBLELmQAQyyZ0Y18zLmOMC42KvLSxj+O8uoD7/vZrAFQ6GXbktF89b0DXZmgMmmsNjNPzy4eDlEGAYOhs15gckQtnRFbORCnS5RjPY3VoJYexbxmiaQHH43U3p4aPGPu5tgOxAaj5jEsZdvZVFYLb0OxJR5tSftt13Gtngn5ApUiDEMfE/4oJApjYFVmE8NjN+3tasxbVmomuNUIEPqR/exnONSpaRm9YRLnD1yDpWhOBnZsdVmddmOA6vrCGceTvr3ZsLEWsfNUZWsdu0q4rGZ7DlZbpxexRLyYCK+dMD3P+Rl0kzmVwqpE9i3NdC9j5LNhbqDnF95XdqSMP9xPEuDcvtc9fr6tw4gzBz+WWbRjaEwteZx6yV2/dxNyphzjHsIjrfHLXQL+FFGWg7apkbze9rbl9a9o8SJnbN9+cDI5ovYFFnLsqlnVSTTk3lYpZSOEEijGcHbMwYx/Ooj7DAhgrjmVYtKxBQwOUXsn0U9jUkDtKLqqxZyqfC5PDqqmxa03xNmtYqE/2sahv1OHQt6u45nfeUACq7ki/tGpqtY/sW5PC4yzfVZj3VInQVI/1/kYIsCNp2swMzDycg2WIsop3ZYJyAJVRR+ponEzkxSUEe2SY0BmvDTGu5fhWsGw9FHnHDfy/r2JlG3XsgosJxvJ6A07nxEDEFwtImIlYmOCzM2UrsdcOnZ2IdcfulvBMP3MC49eaWnbieh33W9Tg9lQf17tfRiDHVgKZiHzvJdxvPcQYnN9HANYPkGUguLQRYpw+eco6Og+KmG+7FdwnAakT3zpiO7kMEJvv1WZwumEBJTA2EaT8fW0m8rYNfJ6Yo5UhApSNOua3l1opauwrKFrZSwTZeqmCxTWb1QswP7/jKgIF3hefg5sZBmxHA5NTfYx3oNmNlo7rKx37jAjmx8k+sj436rj27Sqye80QQQhl/sc+gsPYFammIi938J5eCWNyuYVAe22I159fNg2WbsnYTamIeNk8s/IGsHmQMrdvvlGsrRop+yKwnXw1MmBfKbYW974umJEufOyYXIqtj0l7ilJI7GLBq4dYaEMNQghGDWKk7mMHv5di7DyZzq7NjK1CK6SWGelM4BDWGwAdblfhNBIH53l22ZhFF9tWz3czvP9qE5kJ0jjzlrgm/uUpSHNxjHOuDnGcfIDDEse0oJTqKRwN+xNlDnAUA9UFeWYbDuRqE8HBua7piDiijlOd9HYDY3K6Z9kHlpJ2qrg3Mj8Wx9qHaYZz7aqq6crIWFiP7x3Gw3ziNAKhp3ZulWjvlVRfZKoYkSoc4qU2MgfUHalEOB9xD6TX5rViaGygeKGNvxNDsVMRef8VBEJUin3owOjUVCB+bA/BQyO00mDqWAuGYmL06CDB80q0PPfCEnAuT+0gU3OjBsdcSDF2V5sKXp7hfJ9fw1wpxTjmwgTPJHGBYVnQEl45wnE7E/ztpY71zukHGF+2W8gE8/egBMzLi4v4jjDIDBLMY6rUxo5IWMSYMyAOYtznrpZnbtStvPayiLzrBq7vWhPnf2bbMl/PLWMesennzMP1sRv5IMAzenwXAfNuBWPT0GziNMFcmBTEufYzc32Vb1GbBylz++Yb275TytvLjDUxKVjdvKggUifDAsb6PzvbihgddFqAc6G0/kB3fd2c83Ay6ICwp0/iwoFT/MoRy0wchyPIBH10hgpYpFMr5Ha6ri6uqYN78xWXIErbZA+if/+QyA+8cCsoN9Bdf6yYi4pmMY6WCmiTAu6ZaroUf6MS7UZsdOvdCpwsAchuBofFICpW57RXgfMgaPKJXYxbSQOJYdEclK/OeEX1SGZlkT3HejFFyniJNSNSCIx+uzAxnZkbdRyHu/X9MgLFbglZNydDN2oyc6hHQrpxpE4v8kQqitFg/x0Kij2/LPL8Ep576iBIWByjbUA5EnlhGZmazRru+73XcH5eE9WMRXAPxHwwWCprgO04yHzRznaRTfv8Ghx+L8Bce20BY+tmwMYsKJZkUrDWDeXYsB4j33ovNac4/3oDgNmJj7HZrgL/8R3XoPHiK0iXDt8bG3C8NsN1tBWnc6mF79tWVRsqegjguiVcc+yKvG0Tv7P8mAm+W36C19lTaWUIleNKhPvplQxQW51hfmSCQCl2Rd53Fb8/dIDnOfYR0HET8tqClgW7N7FWzqW/KzLyJXvmv7rjcjO3B8vmQcrcvvnmq+NdGxpN009EUl2EE9VdiF1L1XupsTfqM8uwLI2xoI58E3Zjp+ODEs4TqrNisLIjJpDG7AnT2Z6yNo6z1SGc6dUmnDad3VTZFVSt3a3A0S8q04G6EOVIRHhPDnabIiKfOomsyvdcwu+8Vvav8VKjeh41lka87Phuw2sD6Jhwh+8pziB2lTXj47r66oRODOAAWWrbrsKp5LM3LCn4urN90zbS+DfqeB6RgqCXxgaYrM6spBK1tE1BAdfHnjD5AK81RRD7qh73LZuSyYdFyrgE5+P/2OjGyyM8azaRZMC4WTMQ8g3N8jy9Y461EZqGx7iIjNGoaGJrC4ojubBg4monBwhQGBSLWCPMU32M49EsnAjE9x46MA2brSqwIqkDB04cDksl7FbtZMh2sWQUeRYcrA4N6MoANBOMO7NGzRBg7NADlqU2s0xQ6iA4Zz+kaoS/v7qAv728iPlAptWZnl1XNzDaOYHu3RICo1N9vD9xca4nd/AcFyYIgp7aEfn0SXxG43c5qQFpP0BJ7vy+tRDYrlrpjCDypuJvGqE4r/09kUI6LwF9i9g8SJnbN99WhrYbr86ULqo76uoMi1OvZGwJ0o5ZwohckVlBZKwlHz+1Zm2RvscRo4Imjtb2MzjJup5jos4l1VLI6hBOanqHr8nVJq47dvH+WAGSLN2sDm0XTJxHJhbMOGJYlb0y8CulGNd4pYVdtwiuJ9+pNiygLn8Uy5I6hqNxBE6MXXgLqbFCiPu5UbfuysTvjFgumYksjgBaTB1kHvbLcNInBgosVs2PpZHIWhn3luQwMQwMWlO871TfMB5+ip1/WBDZUbBlWDDsz3ZVO/lGVhbS/j+ZfPjwfa8NUbapzZCNWB6hnHClift6egfB5qCI8WFAsFcxTR12zx75htXgeDL4Sx2jEp/pwSl7Ge4vn8HqTOz/kwLG7FzXMnLrDcV8eCKbgUng5xlaBBvz3vfLCIoqGmBmYn+rES80xnmrM3x+aYy/rTeMTs/vCPFUDOKZ0SQTKXMM+DrQION6HedphBjjFxeRubnWtODO0znuZdaA8/e8inG72rR+P4MiMkyVCCDuTWUePbZnc+ZaEwFKIzRF6sf2LHgb+wbOnnlgiWkJyRn+dclqf/n23925PRA2D1Lm9s23acF2RiJwgMSZsC5N8CedBdk3fE8xQaDCzAudcuYcFvNiup8lJK1p33SGE2XKxK4FOwRQHjUulMMiHPNOxXalvcDKB2/dxPv7gaXumUlxM5FIWQu1Ga7rdA/H9NPjzytimJajVkhVgEuZOcy4JC4wDdSFmXmmxtucmnOMXFOAfeeGyK6mKlh+GxWxCy4qBbU9wXhSv2aijCk+08g19hb751xYwPsp+35QRkBysS1yqmcMkGqE6zpORl/NYbByqmCy8YmDQOWpHZQFSF1vTzDmxNMQ3+Mqi2VdNUMiD6DscmxZo8TBcS62ce+n+5iTLDMmrmXOiEvJxATLznURKHSUgs3synPLJkZ4lEJeTHGegmaoZh4yTWEB41eNcM/NKdpKXGsAUzMIMBfPdhFEbevzfHoH87IquC9iR4Zly+ZtV5GRPChZ52xmlxjczjxsLMoRgsZrDVw75yMVek/1Rf7As5YJE8FrV5sABx96kNmt+jssH15uAZyczwyOfZzDEev2fLPU5+L+lmbiXPh7Ihs1yb7zj912Ds3t9W3zIGVu33yjoill7N0iHC1331SzHBVtsWOtPixow79MJBI4vUzgSBLXNCqojUJaLqnBgQpbcQdZRGkp+33/uYiIONd+EbvxF5fg5KijcaaX68/iIEAaCBbTTQ1eNuoiv/YwMA6P7AP/0A/QyZmZIN57dWZ4DJE7a2mIHB+giGDRZvo7z8Kh+qsIslLDogna9QI4UF6PiAl/ndKM0Ng3inE/QIDGzMvi2M7VLVmaPnXgPAspgLUMMM/v43PlGJmCzlj1MSoiQz32tIAg5ultPOcj1O+bwUl+PAjmZIArol2fZ3CoBFlzHIqquUJ14VDLQ4tjww5RW4WZJ7Jwnti5VZCtpjo021WTi18dWrbjKHh3qLoyVFo9ahR5O9B5tjaw4KZVsfmdlkV2XBPqO9kXCTQ7lGk241wXx7nSBJiVlF9mhep93Pe1hgGbqQBNAcOwILKo4PaJj+D7rZsi//RNNkYU/fu+C3h+ZG/l7UzvsK7N2L+V2n9QxjzI9BmymeR6w8aKLQs2qxjLs10TfuxquS8TET8VZ/jXRWqzWzNwc3vd2zxImds33bLFvyjO4O/CsRVS6+GxUzWtCBHbrSVKi+RCWorw2qCI9DYzHwQWTgumSDvyjTGUpzQTgDstWC8cEXPmoaa8N+pwmi93rAwQe1ZeutQ2pdXWVKTkA2PyxC4W7Ef3sLsPEnPkIkZNfdM27pOg2/u1SQEBU2FigVjmGHOD2RDqYUSusaSuNuHASzGa6K0Mca2XWnAGtZlRjberKEcNAtPoYBDAAPJcF+euh9AoIZU01edLPQ0RiIARFLlVVfGxCFiFYRElp6URng2Pc9y9V6LDf6fs/WYNc4OlDUrj83m3JwbaPpqlInaHomTvvXZ7yvi0AGf6+TX8ztKVn1p/IWaZVkbH9+HJC/CVY5E0RBaM7BeWpbxUpFvFa1RjTlyIujHILce4r8RFRmZlhHv99Ekr4TC76GY2L+uhyGO7Ik/s4Vj/+2MIfr7vgskC0N53VeRjZ7SMV8DxTwzw/Vpv4Pej2bB81igfoJC+PC1gHoggqOmWEMwGsTVdDAvIbI18XPfCBM96pJsNCiASoC4IbueByoNl8yBlbq8Lyx76URERcZ79OW2sl2Bxo5iZI9bzZKjlEeqU7FWszwx3UhPfOsq6mQFuS6qGGROAqunrQDMvKtjm/PL/G4vzSdXvKEeGKXEEQU7miEw8A+rS6b3/CgKOt21g0dytAKTY1cV/ZWSpdKpszjykqrl430uAMinc6ix3K6YSm39tp4pFvjKz4yeulWB2K7i/sW9g2fUGgofYRYDwUC4dvzxCueOzJ6xERezCbgXBx+LYQMR5ETs+t7zx2MOigWYdMZG9z5wwPZW3bd7q3P0EGa3M0W7JrgE1g9jwDAfKihHBvRM7VInMWU4KuV5FSm1mibCt5RoyoFLHFFI5ZxfHyHg8t4yAYVIwzESQmDDbcd2GX+1gTJ/cQZbC0Qzi0hjX/WsP43NP7aDEkTjWq4fZEhE8682ais1p0LU4wfk/ewLPenWIZ0XacXVm37d3Xz8c7P3RL9j/Kxr40U73RL7rspU6PR0nV3IqtXexS21givh8zh+YRhC7YIscVlGeFvB60b2ZAUV38ynGohIB9MvAdxnlRaf/EyKvLcyF4B4Qmwcpc3tdWfamP3Xz/86zP6cqmoojKOhulA5kpFokxcTE0ZjqpxAcS0aRh90mwZ4rI7wv9OD4miFAgV6KAGaiZYHdCs5LwORYA5VUQa8F1RypzXCus138nTX35hQ9S55bNvn90EOZo6q7fjaFe2zv1gFh75vj2DzH7eYdMWdIo6Mi5oXAUDaJa2u2qjk1xtS0gHPvVjC+LInkzU9wn0y/U0+mPkOZ5qjWiYiW51Jz0JMCSjyLY4ybnwKDsDzCM92r2LMMC8B0fOwMnNDa0JRbo5wznGrGwhGRSM+TD2BJL3cyw73QhkXLQsQatJLWTZzRlRaujbgeUrcnPq7rVB//tqZW9klcZYulOGavZGWeDZ13l1soK/qJyMfOWlBeUsBxrJmckQ/HTQqvrwFKKTZMDqnzN+qKX5nhuvfLKtCWoOw2UlbcLME9rg1QmiR2J6+YfFA2IHsmmjXT7xqVd1eHFshHrtGa72RhAd8R4sxSPe+JAb43jhjIOlDcDynqz2wjWCvF+P5u1ZC1C7Tkw8wgZfnbqhezOhSn95PAqzzxZ+5ygXP7Zto8SJnb69ayN/0pcZ77WXO6e2U4AtJXSzEWHToZYiyYribYj0qXC5qZqc+03q8B0MjHAsiAhH1OnMwyMUFsZSA20gsLIq5SV9lp9mzP+p6QmfNdl/Hz0XM4/wtLuL6Tfcso1GbW9G+rZgyLPd0Znz84vjRwnB2V7w9iBECvdmwMqUGzMLHshRPgc4k6MdJTE8V5fOYEevI8vW1BxlEsxcMHcLoEoF6vA/zJZ0TBM+rZZI51OxbB+5bGCFqeW0YA2J7gtet1lK0YqL7SQVYliI1xMlbq+aRgWQtfwbf5Xj/HjdlWFWWVhw/w0wiRjbjewBx5/xW895feIvLcEq6jH+C957rIbjRC63PDwJW2UwUQ+WrTQKJfWAMO5HQfY0LszLCIktH3XlQ2m87Ld68jE7JfxnuJhZn4+OExBoHK3rsIyFkaYafqc11VKt5UkHYZY7o8wljHrkhBny3HMnGsazEDZC+1zOZEsValWMTVDQVbINzJtrWskymjLNH5Ebvas0fv/2rTRPryDLr2BK+tN1BOXRyrJEFs3cupkbNRs7JZC9oyzvrfFhn7kj32I3e+zrl9U2wepMztdW0UZnJe/R/wgqdMjaKm2vdVUyNxsFg3Q1M7ZQrfcwycGSo+pVeyz6WO9QGqKcDUT9AtOVQa6IFSoNsTwxYkrtFM14ZwaL/+EOTWz/Ru3Yme7Yl8/AzO91AXr3GH3A/gIB/dN90Spq+nhbsDaWkMBo6WEvYqAE3eFDRzDVBMTZStmgmxrTc0Ve+ac9+sAQh7tYnP9AP87SggtKxp9q0ansNbthCw0WE7YiySs93D11pIscPfrMERnurDyQaxgXspg//iosjn1gzvkokp27YnoOseZczcnFiOyf5v1iCudrkFSmwxsVIatUfywcZ/8WWcZ2mE+3hpUbMPOac+00CDuiUieD8zL68tYP680lGV2KoFxYnieBpTBF3sx5Q5CABZxmRWgTTpQdHYSBfbeM/aAAHJlaZhva40LTBkUN0IlaY9QYAz8k1okIwhGsenHyDIFTGROLKciKnaL2Mei1jQPixiPp7sW2aI4+OIgaCDRKSu31u2nji/j7HvBSgRLY2Q4RkWcZ+TAgDqTd0EkHI90s3NzDNGH2X2NfvoXP0Zyc78uePny9y+aTYPUub2QFj2KHY5TvgR07XoBVjcKbo2VH0TCnPtVG3HfqanDCDX6u6FHCbFc7C4UzbcS7EwtiYIGvYqWMAPyqYAy5Q6NV5aU3z2SyuqseIfDi4mitl4/xWkqJdHRgPdq2Bxn/hg/7RCnI8L6b9+BLvvJ3cPBz5HjaJq+fcMiwBKTjQoK8dwOuzQO/bxGnVYajO8v61y6p0JnI2IlVEYuBy9lKHSQtcb1svm5Q6c5soQOIvENSGyURHHbITGyNpQvM6TSpl1BeNWijE2sYuAgpTUTMHA7DA81dLPc8u4XyqV0qYFaL4wg3bzGqbYuZ/qHwZPHwV9steU6DhwLFiuEMG9ZA6CEVKY2Syvoho2F9sYv0qEv7G8QzDxM1oyW2+YNH9njM95qWmMXGybCmwjxDhvVzEWoyKwHuXYMDjPL+Hen1vGd6ASwXEz+0baMvV7uiVcG4P8iI7et7YSsYvvUpIDa0cuAqKrLQRLV5o433oD93v+wDqapw6ujcEpdWqcDM9jt4KA6EwP8/JaA8/AS3Hccoz7Jq4qdnEPnTGug2WoVQ3C6jN8BxtTfA/0/c7F/1kk8iT77X/o9t+xuX1DbR6kzO3Bsut1LCqTggE/uSB6mfUA8VOk+ok54GcoerVbEZnojo86GgsTSy/vVeAkPn7GBONEUBI41zWqKT9fTER+52sIJEbF47sdP7WDv7+wZCqhlHmnKit78lRnRqUkIPeVDv7PjsXE3+xW8Psp3TkedcifOG0Zn9TBDpXZlLo6iciFk6BmSKRAXj+BE3Qzxd8EyCwVNM1PRgV1Rcox7u9sF7t+ZhSKiQl+FZVB0ppaMLVbwe8DxVoclMGiYUq/WzLFUWaeRExd9UwPx9rXe7ratD4y15p4NmTMXG+gn1IztGebOggMGYzdLgNzO0tcyzBErsikrHLxdQOzsq1ANUJGwEut4/KkYLgcCgkuaJC6UwXDyslwn2/fwDi8toD31WeYl5faKMWNfcz9nSr+JeX+dB9jcGJoDCuCkYdFa6GQauZxWLSu45FrInKcX2sDu39mw1zFIVF8sBZpc8ypse68DGOxVUXQOSXDzsM8ZTmPWDJiiZ7awTVlgnFghtHNkI0aKW5pQbV79nTeUXK/ylJmbMJ1fcUGjX0rW9Vm4nzqfxQRkezdP3R/82BuX3ObBylze7DMEdNHIaDOS0XqqSpOJhqUiHX+ZRBCcbRrDXPCnbFSOctwvqtDLMZrQ6MEt6YoWexUFDToGH6Fi/qf+DxYDlQSvZ3tKHV37ION0plY6eT8AZQ3qRsRFiwAOTHAIvroPn7/+BkEBAclBBG/7YqdgztiqsRuVzFWZKXQgYQeUuLlMhxk6uTE8yb429WmgWbZAZlddEdKYe2McV+hhzIWAx5H4GS39G/1mSmQBgnGshGKfOoUxv5MDw6G+hoER7J7cWsTDn+jhjGuKjPptQWMX3NqtPCndhBoDjw4pIstjHWQwOHXZ4cDVJag/PRWDY/nl+GQGfgexeHcqONvpLP3A4wNwc6dMc7rpXjGdO7vvwJqrwicOMGqtRkCiu2qBbMc90pk3YvZSHKjjjFl0ENadV3BrO0pxn+9IfLWTdMA2vhb1gKiNrOGm8SguJk1a/RTvNe/+1cUB89wne+4geOSNt2aWp8m9lZyMwS5I6VlD/T7kDkGgq1qSexza5gbxKu8ZRPP+pUOSlddwecXJpjDZK2RIl8PLWOaOiZ7wHnQmRj7rByJ8x/+FxERyb77j9zjjc/ta23zIGVuD5bVQxFfU86pY/LbIqrgKpCLZ1MzVyzjQed9cmCgQxErFRDgSedyuoefo+qYF9siX14R+cDFW7EiDFAyxxZ4NlwTsZKEk2GhFIEzPX8g8q7rVusXgYMvx3iNtNytKrAeDx8gEFhvIHChEicb3PUDxSUonVYErKXIw7hs1uBsV4f4LJlFHzuL8XpyB+dfb+B1am2w8y6Btxs1OKF+gLE7McD4hlrKYZnt1QVkLh4+QEBCSfOPnTUBsWkBjnhtiM9dbqEkMS0Ypbk9Odw5uR/gWbzSwfiRqcXrGagT2qwjgzIt4NzLIzi1L68gQDm/j/c1Q5HfPI3XntnGud51/XDgQmNJgV2vqwo0rkaWearNTOeHTDPiNS4oPfbpHeBatmrIhCwrBifTLMpYMwv7ZWSpHtnH9b11E9ebOngO376OIK0e4tjrDQREF9s4//uuHAYPE4g9UZYOA4dhUWRf9YHIbDsOtE1cz2dP4N4e6t46RpUIx73Yxtg/sm/3vzAx3NhG3YILR/DdOTmw7FekJb7YEynMTLSPQHQRBKMvKz6IirepI9JPresz7/XRPZHPnbA+WpxjT+1oJ/YSzjcoijzUFefXflHETyX7bf/lreMwt6+rzYOUuT0w5kw/AknvUozFhWUe7oSoJludGWumHyCDsFtRuezIdlUUDyuz1u5aWYggSOph5I3sj7sZd7tuZhoejRALunZuvSm9T/YCG9rtVrCre+cN0DM9ZYy8vIiFl+c/mrXpjLHzp/ood/Sdse62M5xzSRkQ/QALM+3RPVPpfW0BgQp394uaMeHuV0S7EKcItJpTZIn6gch3XkXAcq0JB/zYno3t2zcMrHqphZ1+Jlqm0GCLmYFShECK2IUgPhwYEti5X8a5lrRk4mkJ7nQPr7/csXsQwfPtB3BokQul4GoE/ManTinIcg1jUw/tnNsaJBZVE2WrppkGLSuIGM4jH6Sw+SU7c3fGCIyuNK253rmulWFeWoRjdzKR5TGOt6M02v2yZkBKmEdneghyW1OUDJ9dQTDrJ/gcMyTdkkh7Ko7/YWXS6PPIl90cUUaUbxR7jqUIvmM36phfnzmBczdCzN1eSeTx3VsD97dsmrLviQHucatm31MqLu9ULSj2tETFQPWtmwiCVkY4Frsuf/ok3vP4Ho5NFlIxwRhQd6U1RQB0pYU5F2rgeFBG8Jany1cizI9nl61ZZA9ics6zP3dIJmFuX3+bBylzeyDM2fhbIkXVsCjfI9NFxDIMp/pYBAmSG/kGVGXQE7mW1qbdrttw3piazu82mSmhVLunKW3qbrDfj5vBQfdKxrJo6oJKtc4ndhF4EBNCIOFW9TB1WQSvX2rhdUrU81jfddmuZaOGTMIjWj660oKjaYSmfntQUixCDAdMKvZMsQN0MG/XTBNBlHk73UP/FgKOCSzljv7xPeA2Jj6cEJkxQQxHdrKPMXhxCdmSfoCSGHE5ZNC8fcMaIYrAMT+lbJWPn0X2ho6IAd/FNpzfe68hMDsoYZwjFwHB55Ue/L6rIrV9091YGukYFJCpYCDbK5nM/LSAbN3i2HRQ9ktQAybLRXQ8znURHNVDHOtyC0EfRQerM5FJRcscCsZliWrsg5acOdZigfiOzhifWRpjrrEn0kNdm6uk6OefW6L3UIlwDwQBf3kF40GBtbGPMSSV/OEDkc+cxJjms11fXMXzLaQIGMnq4Xxd0blQUXDuqGhy+pfaNp6DosiusqC4OSHr6GQfnzsoYW71A2P+OYLsHDcwmdhcz+v53Kjj/8QGfd8FzK+PnTFZAj8B0zD0bjIP5/b1tXmQMrcHwyqRKU9SJOpOtluxXTNtKZfqbk9Mun63YrtTajrkMyjHpfrzRn0OCp8xRT4qYpEXMdq0nwCL8P4rWED/tyewwF5vmMbHjTr6q1CkiziHUoyAg/eeOiL/6lH8PLIPRz1VvE7sYjcugkX+6W1rbX+6h4wJLXER2Fxp4XprMyz2LFOMlHK9q9kSNowLFCtyYoD3T32RRIO+q02c69E9OLDO2MZVBPd4rov7qc5w/8Mi3vfIPgKJrZqp1xKwWVftkhMDfHZxjACIar2e4Hy9EtgvYx/jslfGjnxBKeSkyu6XLONxuWVKt52JyB/6sinVcrydTKSQaS+jHjIh1Uj1dxTvQMbZsIgArzXFcyXuoVdCxihyEbDQKVLI7cldzPfUEZmJNTWMHQjf1UI0H2xP8HqvpN21NaNzXgPPIMY4kvIsYpoxsQtNEpZAWbpJHQRwXmaA8LAg8u8eNqZZW4Po+sy6Su9UcQ5PcUbnHJRfehrYtaYiMxfPgUKCZ3p4dkXFVjFYWB3i2l/t4D1uhuzQiYEFGiPVz9muYixj1+QHajPTVHH1WZFmf71hmZKja8iXV6zk9PYNHL82QyBNFh8bZVYjcTZ/WmTi31TLntvXx+ZBytxe9+Zc+TsiFcWg7FWM9cCFKdaAIHPwnm4JznSsWhIESO7rbjpxsLg1Qk39FuCID0oop9RmN3dNNxVqg9icLZkMzKCw+VwxsS6xsauiXvoVO442XIpF/rPn8P/disj/8lbDUlDP5C1bWHA7EwQQeZE2N4NDv97AjjNyRd6+iZ3sb56GM35qBwHR47uQVL/WFHnPNThCmpfCMaw3cO0Ez7IdQSYKDHXgmDIBfqcewnFs1fBcKHxHvAEbEOadQS+AAyToc0fLWg8f3BpUftdl/Jun7p7p4Rm4GYKV1xYsINzNzOETnHq9gUxNZ2LYpUSd+fIIAQatNcXnHt2zTE1tBme5W7GGiMsjbYmgjBziUfYquC7OPRHrj0OGDVlVpKcTu/LIPu5l5GNMOE/zKsAnlcZ7qo/xaIamdbM0wpybaRnzLZs2r1tTZGpImScTiSq9eUYYMyrswh15AB3vVQ4z6Nhq4LE93PtVDYC7JWTpRj6CXmaHTvdEmimeU+ghCLhRM4bRmgKtOe8Gyv7aqCHTQj0jquV+12Vcw5dWkd3paVmyF1hH88jF9bBUeKOGoGivjLm0VcV36/e+bIBuft/zmSCWVomDy2edrrTEefnviwyLkr3jh2/9js/tq7Z5kDK317U5l/+OSbxXImsWeFDGIsR0c69kap8UKAtipHndDAs/6a/s90Pw5lQzD8RvXGkBOBp5CAzOdUWqLpyzqxmXqmZ22Eckc/B3Mg9ErCNzObp9QzpaVcs21xq4xid3sSOmdHuq2YGXFgEUbE1Fvv8VlIJI6a3PsLiuDK1/TD44+sBF+/+mAmxbUxPGY2fm/ZKVDkoxxnuq95k4OPabtzAOmYNFf79swRv1apZGWkbz4GwWxxjvjTru92zXQMUUr6OceVjQMoMg0HhsD+fJxJpP+srkYZfgEwOcgzTiL6xp6UbZTdWZCdFFnvVb+pUnEMQ9obgGYnLI+mLZ7EAzIMTOVGcI7tjHhsyVTLSVQYprbk3xnnJkZRqCmSlAdqVlrQhKMV5nIPbu6/a8HttDAHi2d2t2jxk8BmNBbA71iV3LGC2OcY5hUeRfPg5gMMt+IlaGHPn4TrzasR5GcS6LuTZAwHimh+vtKdMscRBQUf0533ZhWrB54ogF5cTtVLVE+nwdAU5YxvhQfbmk98RjdMYI7l7poGzHgIQdnPlMeiWMy+IYfx8WjW328TMIhKhPc1x7iht1fI7B6mN7uD6W7tYb4nzyf5TsPXPK8tfa5kHK3F7fRiouba+Mxa+smgcMVkqxLZBUwpz4SOGGBeujwuwLuwCXVUiLNfNpAc61PbV+N4MAf2fphs35CqlIEFrmgzvXZqgOlGDeY7IoIofpyuVY5P/6/PHv40JMbZFntgGUpB0H4mX3XYqj5VlHTgbn+umTWMDP9HB8ime5ouUF1/RhyhHG7HoD2ZhyjDFfGlntv5AarTT0jKXkJyK/eQbXtKYaMKf7hzE8VH7tTAwftDwyjY1uCWObCXAPrSkCC1KfyxqAfuqU6YSQtRVoBoTBh4gpF+9VEMC2pggMR0Uc4/Fd3BfF9tinhuqlnQmCltUh7uugbLtsZnZi1RaZKfXVzYxyzh5Q1O2havF2FeNADZdKhHueeRBhe9cN6wF0nB3XL0kEcybfXVkE516YHM4miWh50cM5N+oWVD6yj3tiJqk1RaZo5uE4CxPMh0Fg2jNUep740ExJtNTUCxA4feoUSnSOYFzLyvQhhbg1RWDO0tPYR7ZzvQFwdljAa2yVQSp1pIH1+7cNOHxQsrJhX7OF3RI+n7giv+3y8WO3U7W+YZdbeOZkKz10gGd0qi9yqi/Ox/8xvmbf+ceOP9bc7tvmQcrcXrfmvPz3RbzAVE73yybOdrVp6e3VIRwna//tqe0UReAgdipWryZYlQBQBj2lGLurmwyf6LCjYFfWhqbZ6yE+y4CnMLPMxCCAsy9rGpwU4rwTuZOeSt7WGwB0tqYITijadi/mpYfPw8zKjTque6KAUeJMWC7olowp4aUY052qytO3RP6PRzGWj+7rjj3B82HTRj81yXQRkf/oZaNTJy6CCAZ1zEyc7VmZTATskad2bBdd1l30XmJqvF9awTmf2MW1X26ZBkwmeA6zHG060QxGM7QeTPtlA2DWZgCiXmtYVoNdlbn7XlHaNrsHswEkM2iFFOdmeUXEWFztCRx3P8AzXR3iOFMtHa0O8bf1hpZKXNxjr4TshJ8c3z35XuwoqFlE5He8Zv8njotYDqo6p2IZQjr4J3bx/4qy5ajtU5sZ9mm/jOseaLaErDmOOcUFU8fo24XUtIFGDWuayJ5AnJ+k7zPzsjrU+VTEPGYW6tUFw1Yxe3VyYPTkxTHmS+VIoCaC7NbZrmHZGJjsVXCtnl7r2EcWphkicBIRRz6MU+q/c/vKbR6kzO11ac7H/7GIV4YsfaI6BvWZKcpmgoWmkGIxOtuFsy3rroZONs1lVph+JrOmqLvpcoRFsD21xVbE1GxHPhYlliB4PeMCPiOCRXFxbBRRisoRRMnSClkbtdm9Bxqkgd5up3c/Rk0I7kAfPsDvV1qQkx8qVbQzgZMc6O50r4wx7pVEvuci3h8W4MwXJkYHdzOwSRqhqcWKWImAJQcROM1pQYXiIuuJVJ3hGRKwWooPa3A0QuBMIg/jf6Bg41N9vKcc2c6ZDrIfWCM+4j1O9pHRaU0RINEiD0qkq0N8nlT1amSaNUUt+aWiZS+xzFlYMOfrZZaBSx0whjoTy2D1A2sEGLkIQosJ6K+n+kYDXtTMAlVTj2ZSGFjci31+TcXvNOP3zDZ0VT6/hmyer0HES4vIEC1OLOsVJBi3zRrmTj20hpr8bqRigFlmP4LUZOp9MYp2daasKM+o7OyszBJLMcFnx5rtfP8VY+2tDhEYfOok5uiS4pU8Dea8DJ9lt2QRBJn30gsrz8ISwffby21wiD1bGuPYo8ktn3Hkw/NA5au0eZAyt9edOf/ul0TKYos7SwjFBAGDm4mUlD7sJ6rmmSGIoQBZe4pU7GbNsiQHZetPQ6rmpCDSSHEcN8MimjpYBLc0+CHtlt1th0XDoUx8LK7VGV5nPbwcmZS7ZKYNkTj4+yCwGv3K6M79eFaHwJ/kjZLld6NI5x1aPkCpRCLfc8kAk6VY5JOncM0s9WzUsPiSVfHOG/h/MRF5bB+OlIu1k+FemZEhHoVaMex/c1St1U9uNnVzyv/dYY2bfJCTd8rs2SOC+ZC0bVdeUyzIyhBObuaKBBl28I7YTn9hgixNJTLgMLEtE10WeyUDdooYwLSjTpvzQkTLaGLB6bSgTQ8dy/gFsUi/YYHr2S4otc8vWauFbgnHDzXD9cQe5jFZUdtVvI8BOlknry3gfEfxFLEL1tDYB9Yop5civcAa7RH8/ewKHHopxjnCgoGRz/bw77Wm4ryqllUSfR7cNFxpWdsFZss6E4zR9QY+x8wUy6yXW3D4lQiZ0mKCazjTMwB05uBv6w3DIF1vWIDIRoN5TFRlhuCPYzPzMDfy8+tejJuFsIAxON2z5+oWb/uxeVblq7N5kDK3151lv/0PifOF/ycWhZ2qpVaZwWBDtiDGa7H+7FYM4DcpmIz4RLMGYQFOvaxg0M4Yu9PYtdbtIx919kpkOJbEtdKHn4pkqqJJhdsgxrkTF8cbFw201y3hc6QgB7ojz8RAiDsVky5nTT1fKjnOCEhlpid1sPCGBYBan18CxmKraovxNDcO7Ym2rq/jcytDZCte6Rirg1mpIIEYGkGpZ3qatdJ0/426PZdTQwAYAw0Kt6t4PXZvZe+IHA7OHMGzOygfZldMNagLlbWR/9tbN1F68FM8q2aItDyfJ5kx9ZmCayeYD2SBNULc44ECZJ9btsC3MzaWTupgTB4+wPjuKBWV2TD2mSmkIuJaoMf7Y5DF5zYsQvF0VMSYpg6u42oTDjBxAFhthSKrCkJ9bQF/64wtcLhRx3vZrFAE1z4oYtyqM/zsVkARnwqCjfYEz7oUW3BUVeA15f2f2JXsnWCsOBt/C+fZrSDrsjwSeWTPqO5P7eDaeor1uFE3qYATA8yV/bIxnDbqVkbZL2P+d7SEN/NMX+hKE8d+fBdBXeRZppM09BMDk79nJ+V8aauh2Z7XFjA/btRx7Pbk7oD2vJ3WzNsoxxpcGeG8O5W7bhjmwcpXZvMgZW6vT3MzOFOm6IMYi8NRhzctoEzBwIIp4WERjnfmGWWVCqxOZkFC5pjcO2vmTOvHroIDc7V06ms4gv8PfJGyh9+dDAFKbYbr3anCOYaKRRjpNbIDMbM3Ioc7Ji9M4DSrdykJ+YllSqZFyxLQyQyKuK6rTYzX1SYW87aCFw/KeA+d/rkuHFh1BsdA3ZTHdDfPLs+DwBqy0aGf64qc60p27s+KiC7IzSl+iG84riRRjm8u3jc1Tq7XTZK8NsN1jn04SUfwPJshGFj5hndeivOtDlV4LcN4R65hIlaHcHyfO4ExofT7QHfC7Ql26cXEQLDsEN2ZYCyYeTnueYiYND2VhPslzLfIQ4C3XUXw2CtZvylq7Iy0FBkkmP836shskOEyKSAjN9VS4/U6cEFv3kKA9ZtncM/LI9B0X+pg/u0rwLw5hUMd63xrhnptLhzwXgVYmTdtHS6JEOy6X0bAwGaSHHdiQPZLAIoTZ/PUjnU9HhUNhEzcSurgvOz1M/NwDQTdUuhNBM+Zz5oUcRGw3YhxyQTX0Q8QULamCKoI/KYC71s2TVjwXs1LgVd6fllktwzF33wDxrttLNScK39H5JOnJPvPfuA+L+CNafMgZW6vTyOLgo4t9AzomLgioiBWEUvlBwqAI9OCPTjo8MsRFs+9CtLKuxW0ah+p9kUhhWPaL1uWYL9sreh7ARZU7pKnBQNiEiiaiWUDWlP7PUhEgol1BA5iaynPpnZ7FQPe0rkTzEhn1i3hvZngb2e7WITP9qxu31UsBvEMsWuaMY0Qx0u0NHK9jgCDu9MPftZYR1SSFcGCv1+GeigX98UxHN5/8qKNW97yAcnt2ChkG9GcDNfzhTV8/nLLAontKv4/KGKsz3XxPEXg8L60opTXKe6vkJquRmeCMalEIm/bBHjyUhs/lOwfFNH/5rdO4ThXmxrkeNZzhuDYuxlp3YXUGgcGCvh91w08IxFT+B37GL9MrBlh5NpcIask1AzhtSbmQeThGGSlff8rCFZ6Ae6hosH9TAP5QBlt44KxiiIXnZFFcK43bd0MDhz5MOZsW6zUWkhxfH7PqLnTmJroXzXCGLenuB7S4xlIX2/ges70cN1Xm5j/iWO6RMxeHTUyuk71MQYfPac9onSOkLLPDtIiNne2aghuV4YImqiWe6dya94qkVHZSclnEB5r1vX5JQSNtzNlZzn/6p9I9rv/4L2d9w1s8yBlbq9Ly971J8T57M8bsDLS2q+f6i7Ts4Al1sXay0QyD8C+lxfxc1OVtGRdfh/dw6K9PMKCWpuZs3MVQDvyRSJN9Tue6WKUdNFn+aaioFtSWinL3VaqKTUa1usiC1Msjr2S9WgRubUXzdQD5kbEUvXcWROHQ6bDrGA7zFIMh8Uus5QEF4EDqIdwUKFn2SYykWIFveaVOJkxOSiZpoyjeKDFMcbhxMDKbvWZON2fNPzJ7Sx1tBt0UzvShnAyZF/kFV69TGSnjHtmuY4ZhvW6yJOK+3ilYzvoQYCdNmnLhdQYXd0SshHvu2qO6dcexlitDtEniSwlYiX4HBINkCqzW8sEO9XDisYiWo4TVUpOcbytGubAf/Hlw599btlAo4kjUk4w51aHeEZv2kKZYEnEefWX8Z7Ewd/XBpZBpDbK99xAuehq0zIok4Kx3NzMgOjs30MV2KPZO0/Lf92SlkSLJh4nYjov4yKu4cTAOhm/uoC5OAiAcWqE+H4Rr0K9l9Uhnh/lAIjxevwIxkYE8+U3H7HS38oIQcipPjBIbNnA0mbqIKgKEoyxr8F6OUapikq/jRDNHqmOfJy9qO9n1mSm4O2iZhRZHjyu55cIJBF6pZuMMOdX/rnIykiyb//jtz/nG9zmQcrcXreWvfOHxXnuZ7FosbW6mxklOXIthVtX55wpkHB1CCf0/DIOxswEm5atDrG73tPdf6jOPkhEvJzAGOXJGyHey3Q8ZeHJSslc/Ls8wsJXjsF8IWZjbQg20aSlWAbBPR2UsEhv1M2ZbtbMkdAxLkxw3Wd7Il9cEXnkwBRb2XzupUVc024FCy3r5iJY9P3E9GPIQiK9t6aL7UYNY7FTxXu50C+OFXA7w714GXAQ+2WR3ziLTMOJgUjrNuWpYRH3tVM1NgvbHJzrwqGSXrufC0qaIcYx9IwxE2smiYHcUHEdw6LhK04MVJxO6cdLIzSS++wJ3NOvPwTHcnKAzBHFv9iCgJRgR/DZ031cQ7ck8ulTNhdPDHDegxKycwTl8ljdEko7i2PLgCUK2mSGaEmFxK42cd4FZVa9Zx3ziMGmsqTlP3/OMi97FQQ4z2yLVJShxMyGmyEgIjZqdYg5kmpwQ3n8hgaJE/8mgy2Pm3Cin7Bg7UbdApoDzQbtl5EZWRohYKFo2sMHCA4SV+TFAOf0MmTv3ExkOsPcZvO/tQHmeDXCZwfF4zMSpVg7QWuQ+fABmEmO4Ls00u9/JpaZoZT+SMetMxFxJ9aM86SChD9xGnT54+xiW+SlJQXPKq5oYYJxePuGgbmvNhE05cUTf+u0ihE6KtzYNRHA9kScF/6BSCGV7LEfOf7cb2CbBylze11b9sx/Jc4X/yEWOlJ5mbnIxGiPsVjgQopxOUbQQBE37o5P9bEQUgWVLeM9DYAKAgdPumy3hIXHyewYYw2cxkUs3EGMFDw72XJXH2jWwUtxvsf3EFA4mcg1zxZa6rq4GRYx6qpQPTcswKFmgt0e5dCvKwW4FMPxMeMU6bG5G/cyc+Rk3Ty1Y4ykA80erA5txz/Ra8hjfegAwwICIdJQ72R7Fcj0E2tAQGnsoqUBuzOPKwaadASvNTUYjLVcUlQMgCsYzxMDHGu7anL+kwKAvsVEpJAYXkEEDCURkV94B5zj+69A2fdSG45OBPNm7ON4xEWsNzCXlkcIKL+8grH7wioCx36AZ1FIUS4RwTMvZOoci8YsI94qcg3rdLon8o4bGKMTAwS/21UEbytDkad3xKl/xO6jEpmI2FGbuSIXFvFeYjcopT8qao+jDM+CrQYOyiKVSLL6h2493tjH5yIN+GgX2hBoo9Me+yidsXkkr/NLK5g3q0OTCdiow+kzO/O2TQWlFvHvyjGYn7zlMSnlSFWEXXx+UhBpFayP0PUG/o31fh/fs35GEwV812eG1bnaPNy0k3a6jzLkrGDl3u0qAiZuCP7Vo/juF1KRf/MInuXyyNRypxp4N0OjejMj2y2Jc+nvirQnkrV+7M73/wayeZAyt9e9ZW/9kyj9iFgTND/VPhta1mDZpxKJxInpGTy+a7vaQqpZh+rN8sRNaXfuFEkh9TM4IWor1GaGq0hcwxGQrspSyHrjcEdlir61ptYBeadqQnF5WXj2NaHCLsHB57pwlLEDmXbuyLxMJHJwn2PfMkVeJlLU2j9T0TwewbqBaw6Hju+a4gKWRsiWMIBiTxaK421XJVv+b0VOGWNBRKxvC0GydR2HL65q6SYVqSRwBuVYZOaIrI6wYJMmTgoue7hkjnXNjVxzhr7iIj63ht32yb4KxTkm3x55yF6VQqOm06n/sS9ADp22NML4XG4hSGR5j+UzRzMHiQvnKqIYBMf6SJEiT9bPv3kE1xa7VoLjXOwFuM9LLbx/bYggVATP+d88YiyZehu77id2cY13KkcQ5/RqB5kJlgUfPoDD3FG2FVsZPHxggdPtgk2WeIoJ/n+xbT2AHA1+KxHAqM8vm6jb5ZbNg3HBehKtjKzkkzkIIvYqCO7esnVvncfzFhasSzG7daeOyKRoPZMSLRlPfIxhT9k+YQHP+bUFa2fwyVN47kfLliwJXWxrAJravP/cmunn/PaLeM9mDcHY+X2cx81wDc0pjs314aCMAC7ycJ3rDXHGf0uyE//N/Y3Dt6jNg5S5PRjmCBbRQioyi02MbVKwRZbYFQpjMVDh4lHQwOZMD5+/UbfmZa2Z9RBJXBHRXZivu8TQE3FdbWiYGTDvpricY+BUpsRJ8xWB02hP4GzYPNARldFPESBQZIyNBEmBDTUzQME0ys8njjU8TFxkDdaGKj6WWAO5nSoWxsxRarQK2w312E5m2Rg6HAYogwDYEWaU2NBv+cjz2augXn+5hXN8xzW8fqltnWWJ8VgcIzi7XgeF+OEDw6EkLrIT7PPTmmJ3/onTlnEhY2tDmS21GXarl1sIQvqBSfXPPO37U8F4M0jJi+OFBfyc38dxSdV2M4wJFWw/cxKOlmyzmw0GC1a6eahrlPbvvoygbWGiHYEDw3EQTHuuizEiHfp6XeRqy7ATmYOyxxdWVQNGr4VMmIUJnu9Oxfosne1ZuwI2RQw9ZAIutjH/S7Eq2KaYr46IxK4407+urLQQpaHFscgp/T49tYNxudDGWNeVffaedbz3+WWM/RdXrdlnZ4w5uVEzEHgpRqYkE6N+d0to09At3VRtvWlXWhiXUoxr4HeqW7IsWZDgWL0Ac2araqU79uQp52jiZ3t4VpdaJmHA57I2xDM+GqSwYSJZdwzyqXb96B7+PdUHoP2zJ/CZQorXJwXc84UFPIPm1NR33Qzfx1MDBXx74rzyP6D0poy5N6rNg5S5PRhGjQRSe2PPesz0SgaMJEV4ULTdSWsKx+On1t34QHEPJwZGD41dpMqLqQFh2UU2VEc09OEoe7oIMm0vYosn6ae9AI6goAFPnqlwTVPQE9+60p4YWGM3NsELPVuE2WmZlM/qzJyBk4HJsTQyNdntqtKGU6Nek0m0UzF8D7MAzdDYQJSvj1wEFIUU5QgRkWlBnGd/TmvwLaTHycYiw4qYGjpmXksjNMdfVUAuaeblCDvs1aHpzJzs4zhP7sBxn98HBmO9gRIBG/S9tmA75dbU+jp1SyJfLiheZnorwJXMjrzzp7hZkBju6FoD4nWN0BpRrg4xZr0AJYSTfZynV8Lzq84wFs2pSClCIDAsmu5PT99zso9sAsuJ21Wdw4FlAU71lS3m4PxBgjG60tI+N1Nc/yAQ+Xfnjd10rWFdgS/rPC2kIsXYqPLUmGF5M/JsXvDZxC7mdV3BpU6GoIdNP0UQhHiZSHWqNH/H5oCXGgZmcQzHPi2I1ELMm5IGfbsVBPSP7sF5f/YEnmMpV4L7tnWM5adPWvkqiHU8FX8yqZpKMOeSIyjNMGP0visiT28j4Hpu2dSSQ0/kY2cwxksjzNVhEUHx2S4C6xeWrO8XGVzV6DA1/VwXY/vMNgJ4qlavN1BObU90vLS0tzDFd7kZIqirzUSCRJyLf1fkoa5kzo9/LVbSB87mQcrcHgxji3VHNDjQjAfpl05m0vncfTPDQkBd7BpuoTYTOa/AVQqXsS8QKcZjH7svUphTMdpiWBDJEjijQmqgz5vN1JRymTpYcJbGuP5BDYskG8udGFi5aatqoNFqZCUPdmoupFj02GBupmWPcmRsg82aar84WPSdwLpIU8KcOhuN0BrgzTwca22I63ytgwWXQM58M8CNuuqtTAAIpDDeqGg4oRcXcaz2FA6JO1V2ot7V8s0nTsPZnO3h+r7vAhzyesPo5GRwECfw3muH58ZGHfc90F30wwciv+s1jBExOFebcERbVTB76KhYHou0jMRGk5SzDwsIOm7UjUGVaKmsFOJZ9UoY714J17xVMzExztVZAcdr6nmptDoIUJZZHONze4qLWNb7Pd3HvVGnxs0sI8aM4b6OUVY0oPVexUCx7YmyXzR4ZxC2XUPQtzzCa1Ts3apaMFFMrE8R7V3XD38vd8uYI/z80sgyXiIIlETwHeiWrKvy2hDj9rkTmD9srzD2Rf7ZmyyzSeaPCLJ6Ly7iWJzTIggIXukY2JzjvzCx3kKOGCaJtjDBMzndx30vjzCniTmZFvB8rjXxrHeqUK/9vS9jjjIztTY8/B0RwfixZDsq4vt+uqffy8z6/tRn1vyS5dmDMr6rHVtDnPhnkFlZ/QvyRrJ5kDK3B8PYnn1aMO0RRx14KbaSRVlLQdcb2hBQnS9F1Ij/2C8jdcxePsMiFlYCaKeuNRRkR9fMsQBlqPgRJxNxHJFKal2K6XwqooJeim+JXPydmYRGaMA5Nh90BOchyLKoZRsCTv0EP3nq8erQWERUxnUcBEBkxJB6S50NJwPGgZRmMhO8FM62NoNTPZp12KoaaHejjt+JWWAWKEhA09ysIbgLYpHUt+wCpd2XxpDm//wa/v/QgZ3rVB/XyYzMcc3xaGPfqJ+N0ATXRIxOfaaHn8stax5JTIGTWYC5r3gfP4aDEDFNGU/fd7KP50t5+eURSh2xi8zAMzvmnCoRnGZnjOfIstZuGXgcMoACBdCyF9K3X8O41jRbdqGN44cerovZj9oM1z9R1soz23juv/IEjn2liXlxrmvtIEYafFN7hvN+U4HIzGoMA8P/UPDvi6s4FrMubLCYuCKTCMFRITWRuEqEY46KODdLNARvP7+E+cLSUerAeYeeSC2XXSSL75F9XN+rHYwxheU6yqxiMEOsCftDuRk2C5s16xBO81LM85I+g/P7CGp7JRxjvYEM6mKMeUlQ7yP7+LmTvbBkGcl+IHIutYwqv9/lWGRxZNndykwlEDz8/eEDjIl2oHaGf12y2l++83m/hWwepMztwTE2/MuXL2IXO5iO7pi4i2LK2k9Mf2LkC7qbCYKBzZrRRjdqllpnV2MCZHe1NEJArIjpUexWRLo+nCNT8NtV0ylhc0IRlKcorMWyCqmRDL5YkqHQViG17sFFDVSCBAsp9WLCgjGJKjOUq9jsj6BZitVNC3DWoWdjwj5GTNs/umcYCxr1XmYeMi1jHwEKRfPIyqnnAcVlc/5UHF0bYGyGRZHf/yKOTcxA3khTvlsjuPUGxruYiFyvYjf93Zdu//5z3cNBaUEDPgI8T/dFuoEFim4Gh8WMiCO5kpuLgOj8PgKt3zyDZnwjH/Pi8V0rDV1sG/6JGiWJBpBjdUjNEOXByMX989mVYsvscDyolkzWGjFQVLv90U/iuby4hOvplkxbqKylkeWRlfamBevye72BAN7LDJC+V0GJcEH1fxhwdJgBUizT2uBwQ01mqigy2JngvNOCXkHdLgAAosVJREFUSOJbgBNq0EpFYPbuqc+Ad5kWEBAwi8bgoJHL8Lx5C8Ej5/flFn4vJBjT5RHm7PNL+K79rtcOzw1mZZ7ZRiaTjCH26FoZWsnzbna1iesualmwHKO05KUACH/8jJV2GDCzrDsqYp6y6/t6A2tCZ4LjtqfijP+myGsLkr33j9/b9TzANg9S5vZAWHbmz4HhQ0rs4hhf8Mg1gOvMMwZKJsa6ELFy0IkBvugi+Nv1ujnXvIhY6lhdfmFiOJDIM32PfoDXTvUtU7Jdtc6tIocBoe2JyuHrsahWW9Lsj5dZW/rEUW0Qgaw629kvjUxjgzvp9YYCel1teDizssSwaN2b66FlX4jFcCsYq9rsMFAwH6BQ3yN14Ky2c3gc0rGZMWB5SgT/Zg6cT6+EMVscI13+cC5rctR2K0ivv3v98ByQD+NRyoftnKMigtTfcQGO9zhK7lGrzTAu7JBM0Tg2kHRF5GTP3udkAFl+4CLS/SyZUGq+kIp823X87JdBQ/UyvKc2w3xY0YCgPTEcQ+oYzbus2UDqgpB5QswRcU4MUmshngUzLQyg0lxwVYpF3raB473aQSC+NtQeOoKx4zNPHAQmVIq92EbGoRHC2TNj2QgNR8QAvlvC/fVVyIX4j+t1jIOvQd1WFcdfGuH7drWJIKeYYG6zAeCbtax1vaEg7RGecV4zJR+c0IrJ4QD10X2TB3h50QTXHNHGn3ewfFaP+jVHmzfeyZhVZRD5+K6tCcUE40LmGNeUtaG1MCikCLY26nhuT+9g3vUDzJXYFXmoK87VnxEpxWDbfYvaPEiZ24NjE19pgqFJntNZUCSJOgncKU8KSMnv6K6fYlEs4TS13j4s3mQ4oIQj9rsIFoZh8XBX4cS17rvFBMFM5MEpD9WRsS08hb9KsTU4ZM2bmheOYCHvloyyKHq/TM+zy+zMO3y9w6IGOKlpyjCzdFDCWJC6zN04gaKRLozMHHmpyeQTvMmmeFSH7ZZEdsXKYMTJiBjbKRMTQAs9Y5Wc6t1eJl/kcC2fLJuZJ9LIvWeo2KDHd+210/cxl8hWCn3DIGWOyeoTKH25BedNB3O5BRXVt2xBY2XiI01P0OtmDbvgcmzYj5tlSnVIBFjTQbUnANaKQHcndgEUZpmAGBg2Scz0fZ0xmgZSVTdzrDPzsGhNC0WwW2+ECGhF8F0ZBBiH/JxmWadWNUZWZ2LjzYyiCJz31SbOQXbdfhn3tDCBk6ZwYjm2jUDmiLTGECVsTU0M75UOAovHd5HNaIaYN09vW3B/NyNzTgTB0dku/p8HtD50cOdjEcdEO04z5ai9tGj4tPMHAFL7iYnM7VUQMC2PtISWYJ5RiHKnqrgwxWtNNKO1OMb8q4fQaCF9nL2bNmpgAmW/JCIi2ff9obtf6wNmTpZl2Tf7Ir5R1u/3pdlsSq/Xk0ajcfcPzO11Z85zP2udUNlAjxTQmWfUXgYwxITkmTdhATv5TG7S/aQ5td1i6pgE+56WeoqxObFREYu+I1hEqOoaekp1zawTa2cC3Qt2Um4qgp9gVYJ68w0MKf4WFkxWfebh89TOoIIugcFkGhCsSABx7FpKPlJQZTlXPiDGhpmdzLFO0ezPsqglMarz7lWATaBaLUtDOVGqm06/PUGgdmEBDqiYYId+t1o+My8EC6c69lR2pcIwA7mjAlzTgrFCyKY5aht1LQGKXlffyh87VQi29QM4tXddR4blRh201bUB+t34es+9EpzLdtWYZuzQy+zftaaBrKkzkji2sy4mOHczRLC6MjIabb6XTSG1LByfP1syVCJ7nuVIRQkTkd0qaOwMnEitb6tmx5u2cP0i+AwbcvLZMqNEAPd2FZ/tafaEc5oZHCoUs4njzFOV4Ni6mZNivltBcHOxhe/L6hAB4P3aThXqx//Ji/fei4dGqn8vMMVoL0XAebfs3GYNnxkW8cycDPfNMibbT4QFK5nxWQ40KO2VNKgvQFOmqBnJcoQsXhDjO0f2ETOhpRjBTDlCQLY2fCCE4O7HF88zKXN7sCx1LCWaiSphuoYJYbmHwm2k8SYOFof1hopaGRANIETPmC5BIhKKNmhTp8vmbCJwsCwn9QIrFVQjkdUBdrfsr8OSkCMiY3VKdBDEKFD/JNXsg5di4R4oqLc5NRqkm+E+SE2eKSaFde2Z3sfIR1q9OYWzXhla1oY7dLKGTvUNcxK6IrG+zpR0MTEWVBDbwsqgJNKs0Exwn40QAYCTYcy++zIClCst7dcTAXx6tP8N7UoLu+qVoXWcZq+fagQMyNrQqN1eeutuN6/g+3LHgJlOZpiIIJfRorZGe4rsyJ7SlwkqDpUN9dCBlQLGvjF/eiWjopIGL4JrYKftcmSBZeKKZJn9HrsGDmefGQI+azMNLiPLAESuYZtYBloa2+vVmTFsGAQ8voffX1w0XZZF/cwgMDrvVs2A08XE1IZ3KzpmOo8aIQIgivfR6S4o7oSaO/3AMgilWFl6mnmjACK7TfupjfedwNIimNdXmroRcE2H5UrzeJzTpABNGmaavvMqrunVDjYhu1VjRDn6/f/CGj57u0Dl82sI2qltxPYDO1ULTlaHmFNkUBUT00ZJtJzcLWFus/Ekg2dmTU/3cZ+hh/cNixhvNnE8272Z7aPAYr61wYNs8yBlbg+WVSN8wRuhNcqjo6a2RaTBABUx14amDtoIjfLXDLUnTwX6KIu6Wx0WTcGSYFJKyzM1zfR9PbdLjxWz0RljJyRizpR6IZTbL0dYVCng1iYrqAiqbD+wHihUP73W1JRyYiUWpuLDgu2wuEO92MbCH8RwmrUZFvaZZo4ojd4PcK8VdaLE2xDDwnEcFkVmAdLZ1PPolmzHR8VMEWWSCF7/8op2n9ZMDK+XHXx7JaNvJi52khs12/VngqCnmOD57yhV+22bdy4bPaoYguoMz2W/pMGBY0FERbUtmFESQXBEFgj7r4x9OO/mFI50t2K6PGwbkOUCTirjMoga+4ZrYimMWiJeBjYRu+jWQ5RzmCWaFLRBoY4FgxMRC1rI3CGTTcRKge0JnsviSOSzJ+EU/RTX0y3hs1eaWvqcoURTiRBEX2sYZiZ2RZZDC5iIt+mM8VzcDBmFTPB/ZjILKZpBNkO8RuAtvxOVyL7L7Px9tMnhccaM1HoD90lgdl+zIU9oKfClRQvcWTqkdP/FNsp357oYp82ala54PZfaxwcpN+oWoLgZzlebYR7lj8XvJu9pr4JrYLaXwnx5SQCWZZmFu9JU4UANGOtKmz7a1DJnTvgRERHJgr9y97F8Hds8SJnbA2XZ+f9anPHPwYmVFd/B2ixLN5kgNS8pgoLtKhYSZhmKCRbIRogFkd1gE8eyE2nO2Ua684ldS+fWZzjGRHc83CGd6WGR7Co4clLAe1eHcHIsx5RiUx11Myz8zMhQLIu2XRWpCnbwPcXgSIJFOnFsx7lfRgDVnmLhJmU2Vt0MaqlMCiKzqjIxBAveQIOSXoDrJ02bO/1SbBL+1M8gRoGCYWQo0TkujRFEMdvy8AH+vzAxYCmdhoilsJ/cFXll0ajF7Gxb0izOtAAGTuKiLBA75uwpeJc3ZhIGmhmj/gn7QM08PEcq7e5V4MDZPJCOh7odhdQaPjIj1Z4iCGMJipmBfK+kamoqpdT04fMLC6aePCpa8M3gIxMbAx6PARGDyHwwSVwI57wjyFBtVzFH37Kp4mspAqJREc/r1QU7HwM5iv9Rt4dlqJKyedYbeM6ZAFx6rYHyW77f1uk+ngH7Wi2ODfzKQInPl5ICdzM/Nbo8dUZSB5lOll9GRWuoycCZ84A4klN9POutGkor21Uc/1QfcyV2IZV/pmcBILN457oIZtcbKlfgGQ6Ggc2wiGCCbTGuNnGcfd0wDIqYPwTZ5sdNBd1k2zewcuaYYu2dTNcFZ/IRycoPbqAyD1Lm9uBZdYZFZaYYkGERi+RuGbvNamTaIHRKDCYut5BlWB5ht/NSR+SdG+boif9gqp1lo2JiGIleCc6hmIi4scnvl5SSzN0wyzozD4tlJdK+QKlpM4iokFvNVEyPGnd9pFcHMe6HWZ9BYOwd1v8JznMyTf2nCGCIE2FbeQJUE8ccKsGZqaOKuBqAtacYn8QVWRlK1v5LIm8Vcf7F/4pSyUHZ9ClEjLmRbwaXt0JiKsAippwrIvL7XsIu92NnjfbNsh2D0StNOERmiCYFONC1gZ2D2A/2MVoa2ecHxcOg5/wc6AcIqmIX18FyCksF0wKYV9S2IE2dHZTrOgacp9wFE8PiFQ87mUokUi5Ynx9HUA5iwJc50L4hJTZxMM7M0IiIlFVfozYzMLCXWdD0+TWU3dhvhwDuSQHXwo7Fi2Pc13PLVpIspEZRPtXH/e5W8ZmNGrINZ7uqbNtCoMDnMC0YuD3UEgUDzcwRaUzR1ZuYmIOSyKdOwfmfyD3LoxbEIt91GUrAVJjuTJDhKKT4znF+dCYaxJe1XFoQGTsYI/ZMIr2+OcX8qIcY390KjvXCEuZrEGMNeHQPATIZTqUYa8srHdORIbCc8gXTgjGMuKHZrRjoeGGC+67PkPm60cCx33f18Ly+HyvHD3QJaB6kzO2Bs+zhHxXncz+PheB0DwtP4kAWnkqxBHKOfSzUGzWkm0nfpQ7CW7aweOzWFeyqNEV24mUPIH7mQIW3AsFCN/NEUnUEQ02DexkWs27JlG7pTFaHcC5O7oZKse2+EvewtkreWMNv6yJbjk1xd6qgv1JsZZekoMBi37rqkpmzMMFPPrVNGmxNyyOsoR8o/ifYxfX1lIK9oNd1pmfsqUERbIy9Csbx3euH2SO01MHCT+Axnb8jBgpuhhjr7So+T2ZMpk6c7IjdCspBTM8HsWWNmEYnIHpUxPgfKLi3qdk0lrt2qlpim1op8KCsLBjH6OksXbDMQHbPwsR6MrEUQ6wJGwNSzIvg6YlvYmI0ssoi18pQIqa47GcILqpaKpn4pqvDz3Puj4pWAswEAXElQnliq4qgguJr1EtZGpmcPplilOXfqhmbLNAS3KkB5sQrHYzhuS7mwjAAFZlA0oMyekcVHcvUsdTyyD7GeOYh8L5bJ2QRCyhPDPB9J02XG4SSrglXm8pkc0XaEY4vYnTtvYqJyYkcpvCT6ePoMzvTE2lvojUHM0+klB+UMVeXRzhHJtYOoRoh0GHgkokJP/J9bCJJO38XgPl9mjP+70Wc7IHKrMyDlLk9mJY6Rq0VUQqmWH37oGyNw9jxdVhEOnpxDKc9KgIgG8TWt4YiXiKHGRQMQkjzzATvI9CNDoZaKqFnOzIGKGd6loLOa5KwTDLShb8zwXleXMRn2E+FHYzLMUo/wyIWYzZ+W2+Y/HZd8QKhZ7txX5kilGSvRLYIMxXO8geDBGYRRLBbTlzcV5CIU/t/4HPvFIzry4twLEdBrC8sgT2St7GP+yTdmowVCoilGZybI3KzyzNpwbUQDnqrqtfkWJmnH1hZ44ldfH6qpZSKBmpLgrGggu5GDYFL4sI5EzcSemDydEtGn2ZA5WSqyKvAU2ZJWAagTkYmuM/tqtF7X1oyBzzxjUmTD1IYbBRS4JtmLpwiAcuOGPA4n4kSsTEsaqaqOsPP47uacfKtYWLo4TirQ5SAhkWRXz1vmT32RmpNEdBfa1gzQxHNXowtCFoZIUDbqeY0hnROrTfwPXh2BUFFkJhuzDXFXBRy2UsRXO/LHcy58wf23Xylo2VQxcb4Kd7npwZcjTQIHfl4Xo0wJ0+Qql5KgvshoymIkW367Ak9/gxjcLmFMa1qaSksaEkvwnw7OUCAVM8BliltQID9qT7+vqUMMIL+Sbv+ehvLSbGLYMXNJCu9/oOVeZAytwfSsnf9CXE+9j9ZpiNxsGAxi0J6LJ3t4hiNwdhGvhzdmkq+sACncraHRYU7pExMmr4zNmlxlhG4Y6WTjzPsdFk2CWJTsN2rYDGvRFZeYFCzVzGHt13FIne5hXugCBYXbxHDStBBsLHetYalmCcFa1bIXjYEig5zjCWWBUQwVgycmNFhsEMnycCF1ggP93TJ29EAhdcuYiUeZimIByLwuaSMj2kBjj3ygKHgrvXlDhwEBfHYFHJSgFM81TfgLEsyeRzRZs165jy6D4dFzA17Ae1WIEv/9g0405stCjT1X9XynSsmDlfXZ7On17pVQ/nkES23bFdxHWMfafxKZFmixDENEwqhlVMRuQPbhSBvXzOIefYPswWxixLLVIHJlQjgY34XmAkiKy0TgJ5nHnresJzBDN5mDQ73kX0rb9VmKJMRf1VR7Nb5fVBll0fWmPFot+O8RcpCovDiqChSSoxZdf7AQKcUNpz6IsUQG5KT/cMBQmuK97x5S+R/fwyBY22GZ04sEb/jL3fwDNYGCGSolBvExlzLtDxaTDH/ajOMFwXwKOV/sY1/TwywvgQxjvf43vH3/9oCAuLjgMObNTyfewEVH2ecA5wng6I4e/9Qsrf8ya/seN8gmwcpc3tw7bE9OBXSFSc+/t0vI5g42RcZ+5J95x8TEYFiLRkMfu6LznIE0/xhAU6kM9HuuLoL1y+2THxbKBwxHAedDFkEjpikeWuqALmJARGrEc5X1sAjEwM/khHSnuL/kwKcXFkdBfuPEKPCoKGQYudHhgSzCwdlBBqrQxOHI1BVRBudaUDCHkWOGNtg5BvjycsOsxW+GruJvxCloCZW3yd9lbot77qBQO3fnTccSOKao2d34KGWdNgHhqBMZrT47L3UlHYTF7vzA6USv/+KZULYq2am+A1Kl4tY9ocU8vrMyoV+IlLWckRbgaXbVctuLI4xV/sBGi36CZz4+X1tcpgeO2R3HEsCdxNHwb6aIbqkzvJAwcqP7COAY4sCBqgihp95agfHC2I48p0KMiUHJZHfOgXnzG7ayyOjxjLATR1TsO2W8LezXVzb0zmcErN5V1oIBr/9Gsb3woJ2oNZApVvCHKWO0Lddt5Ik5QWo4DtQ8DdLcixTrQ0RRD26j0wdNwqn+vh+sfHnNEZQcKanGjQBgu2xrjH8jjNwZqmTXbhFcA2lGOvU2EcGidpFzNIetTvpB1GWoDnFmFEw77h5kH+eNGZ5qXitLTycX/z/4f6/59LrErMyD1Lm9sBatvIXxCn9JBYiyl83Z3Bu3IGx9iwChsFOReTXHsZuZ3mEn3IEJ0InHcRaa5/h2JEn0o6xIyN9mIwXZheIAaB2iCNYSCmaNvYNiEoF1vpM5IRrKrp+KuLpsVeH1m24OjMwbyGFY9uqYpFqT3Ht7AXEBYpiWiwvJQ4ArPnFK8+gqIcmVldTB1qdHdZ7yATXuDDBopYPcu5kx2FSaLWZ9ldJLdhjpol6MJ84jUCBMvl0Fmd6eO/Mw7/EsHx5BePAkg9ViNsTw21QUGx1iP9frxvLaBCgRPXkrjWufHEJu9xH9xEobdUsu9Qem0ovKdVbVez2V0ZwettV7KbDAp7FtIC5V4oRHD10gPeMfezOj2rI7FVwb2PfROHKERwuS0MMKN1MpJygJ9GNBt43KELz462beHaLYwNEH8U/fedVY6uMfTj29Qb+T+fcUEo5AwgR05/pltBwsREi8GpOMXZl3UCc69o8vNhGz6O1gTnoX39Y5N3XRX77Bcy/kwPMga2qyP/2hMj7rphEfbeEn8RFOeqLq9YZmtT40z18l8qxyJdW8MwZqE4VbC1iDTn5Xa5oKef8PuYaS7fMsMYu5hZLd+UI2aKDsnVmPzHAd35hYkDZteHhjOjdvkevLVhzUl8zxI/tmzifyGFdmOMCFBqVuimtwPLWQUlkoy7O2odfd4HKPEiZ24NtLywppdYTictY6Kkyq+JRzpf+IbIqlxdEvrBqgMV6COd0cmAqswRAEtRH6Xj2o2EjsMg7rAsSJKbOyX8jT0RSO1aQiIhiZkJ1iGPfUvOLYywWxURF5WKj4W5XTY+DWRsykbar1sG1EhmAtBJhbAYKUF1vYEEOYmMEHRXMIgNJBIv6yYE1u5tobb8egtUwLVpgR+OuMn9cHo8S+7w2EVPLZcmL4F3am7cO92wRsSZzIua8CxoQ9gMLPMhKIVYpI55EbMxHRctwHJThCMjs6gUib9qGky2kcKYsIVIULs/oIeW0M1YMUC6r8+j0MK7psycQYNZmVoZ8ZN/wEkeNoFtqZ1Av42gjyHx2qzk1xspQ2WWtKY6Vb2NwnLHPzck+gi6qE++XjSHFNgwDZQVdbQKXFMQif+JzcKBfWkXw8Og+2FgiVmIUAeXXVzzSqx2M4+IYc2FJszN09ntlkU+fRFBHDZK6BtQX2odLqOwM3ggRaFAbyddS2r6+b1oQcWJcG4XYBgGOQ+0TtuEYFU3c8HMn8DpLxqljPcWqWk7eqhkgPnatj9JRI3386POIPHz3DsrGBJx51qerGuG+eyXMaZ7rdpY5dq1kvbmZKR4rbsrZ+jsinfHrptPyPEiZ24NtTDVnjshnTuCLW1f2xpkedlFP7cApvLQIx0DQXyUyiu2FBWRZNmv48u5WRL73IhxkIVWGTGxp/8wxvQ3qWzCz4in1l3XuQPVMBkVb/Kuqv0DJc5aQyBqhM2U3ZDrYxMXrA2UwkGXRnhpVV8Sk/gequXFioKWK2DRRREw/QsQc67UmHNlNynSC8SSLZa+CY1Y1CGITPD6P/bJlNQguprotlVcJ4qPYVWUGYCiDs3s1Ou9BIFJSnZdmaGUIBnS7Feutwm6zoQZ4k4KJ3JEG/sg+PrNZwzhWImRw2JmZGAQypVie6IwRCLALNjVNxr5R5f1EWWlKZSfQmBkKPr+8ai2F9kTgCPPB6t2+H6TePraHoIOpfpYJC0ec4426Pc+NjmGiBj4E8U73MDYUYnt0D+P1Lx9DAMnMQmsq8tsuY9wbId5DLBRLPE6G4/UUO/LIPnSC6ETpuDtj625OXSOORSVCoFfSEk2vdLgZYKiZts0aPnuyb0DlfoBrWRzbxmNSwPdlWrDg4FrTWHfdEgLSph6zW1KlXM1qzhS43wtwrHIMbNmoCHDyUZsUMH8pNSCCc//mGaNss6zlZTjHxRYyZeVY5KFNo5VP9TUy5PLGMtO0YBnXzAFDia02qF90tvu6oS3Pg5S5PdCWvfuHxPn1X9ROqSGcL51DJYJTuF7HjqMUYyEpJSJTz6iKry2YgFnmYGH8nkuGGajPTKTs5s5D2QFuBGdCwCdVRUWMLsq/OWKicXQCzNAEMRa21aF9nk3wRr7J3pPFQj2URoh7jFyUJDoEPmrpZ0MZMmtDY5ckDna4q8PjaZ7Eu9CIsUi0xn9QQhCwpnRqqvySbZTqwscgpBph/CbqWHsK5K3ODPg4LlojvuME2S61D3emPWqOLq7rDQQIzRCOidklsmj2y3hemZhzvtxCMNcCa0m+/Zo5BmZJNurmgBLHOkGf7inGqArHsVaEo2Xp6qCM+2RgQ2M37ryS6adOwSmxBFbVOXyxjXO9fcMcWb5cIIJrJd6BJUGCyN91A+d6ZUGkf9oyNyK3BihXWjjfI/t4Bue6FkCI4PleWLC+Um/fsDLN73351ufSK4n8u4cxJ9+8hYCMgOO8FWORd2yoGq5+n45mFmozlIBeXEImr5giW/Hwgc2X1aFpDRGrxgxQSZ33pTbm6NIoB4wdYw74iZVs+wHWhop+x4NcmaQf4HtJHZXFsWnUdEvWi+flRW2n0D0+c8WGjF56mOFVivHdZDbnwoLI80uq0RJY9mNQFFl0b/1ubNVEPr+KwL+QoNR9rmvikWQpnuxjDrxnHRudaQH3sd7AdTdCceSbWwKaBylze/CNiq1neqZqWYlE3n8ZAclvnDWAWVjQBcQxZ7hXsc+c7WIn8ugenOvIN8d0kxbq3LoDZT+cIIEIF9PFgZ4j8nA8gi9lZuwOR8tKBOZmgtcGRWtWGBZMD4X9YUoxnE+vBAf6zLYFNX6KHwJ7n13GQvrYnmI+dmxhz2dWaNz9iuDYDHBEcL5JAdc/LIpsFe1+CeBlZulaU6TWxWfqunMmtoGln8QREd01M6ibFjBeIiZ0RSp1kJhib21mkvleijGg1kniKB4lgzZHuWB9ZogbWh4B6/DeayhJZGIln9WhNRR0xH7Y2LKlu9VYQCFtK912twJsQnN6qzgf8QXF1ETHYhfzY6tqsv8MgiMPAQ1731C8jwEejcehLUyMWi4CXMX5fQP+HodbuFFHgLIyNGptWQP9tSGyXSxVMUC7W6PI5hQMok+fxPHIDhJByeRcFwECafU09js66tjZcXm/DEfcD/D8O+PDQeCwCCBsc2pZiBMDZD7YfuB6A8HHQ13TSalGFohQLHGYW1vGPhz+9bo1IT3TM3XfgQKly1r6KaSHdU+OGts+MFPKTdCweFgEkQB5YsLyfZLWG9YCgkb6NVtPsFEnv28zwTw41UeQRyNb8P/zNIJKNxN5eluc8k+I1GaSOT9+5+f9dbB5F+S5fUuY86u/ZN1xL7fwxXMEtebVIb70V5uGmaiHJuJFKi4ZGVs10GlP9a2HTr6JYW2GTMzEt2ZyXGSqMyv7UFmWwNpQ8SFj37IrlPEXwftrMwQsTO/3SkbTdQTHpjIoJdK7JcOvNFWwqhwDjPj8Mu7/hSXU9E/3Rd553RxF5mCRY9PAm0BhBfrdaYEVUVp1GT+9kjlQTwM1qvWyO3QztHO1FR9BUTB2daXAlZOZSFYxQfaCz4+p92kBz529iWh8Hn5iz2ivAkfjZHCux5U6yCaKPAMcb1dx3SxPjIo4f1gwWngztLYK21Vc01Ew5HoD8urEFp3p4RgMKskw81PVkRljTMc+drwHZZs7OxX0FToKes2LjzHbUYpxHNK4aZs1aKUUEzhwMpRWRoZ9CT3LpPC5nO3eqoVzN0sdnOtc1zJLF9vW5PBejZo6uxXgy/qa4fm264fBo8+uWKNG6qNkjjn2SBlrhRRBykgzIo6YsBqBxQTKulpqIfusGeL8K0NtwlnGeZZH1lrhegOfSZ3DJSgau2czyBoVAYhl5owWu9hssSTMzO7yCBuBd6/fGnjOPFP/zf+NG4xqdGtGa1IwoUiWhj99EpT11SGahXrpV51ZmXdBntsbz2aepk5dpEdZOz7dNxnryMMOZ1owRklrqjvkDI6WAcUXVy21Tu0L6guIIEOTuNb5tzUxJVGqf85ckVJmui3c/feUkbBXNl0Laq1QynxSgO4G+wQxm8DuyqwpRy52tMTMVCLrMsuGhKUY2impg6yACAKY67oDO93DrvNSG+cfFFEeG/tYKI+WFvJGdc3lEYLA/swYEgwABrqz5KJIDA8xBhwbKt+KWF+gka9aIZlJm/cCC7JWRliw8wEKjQBYYjvcDEEFs2r5AIUMEWa2SMMOfaNyJ45IqgHPqgbDVL/1UpHUE/n4GWOO5a1bQqBYnYmsjhAUJA6yF43QWgkQnDwowjGEBTjVbWVZkSmyNjxelZjjwDLlTsXoz+xLxezKwgTzgJnEZohzb9bw/rUhzrtVte7Ar3ZEntw5fi5kjmW7eB6OceIC07NdRblwt2L9qr7vwvHHO86CGAHIzEPmixmMfPBFIbfOGHOvEVr266GuialRUffVBawZ/cDaOoQF3CcFDzdr+K6e6pu0fUHLVht1PMtyrO0VEoz5TtXA06f6VpLL28yzjCBLT90SnkXeCikCscstjB3L2Zs107g5asXk+MBI5LDidd7YD41WD60X07nuzczWNxKvMg9S5vYtYdn3/wFx/vX/Cw46SKzmXNIFOfKwcF1vKMYjxiJGWqGfW1CXFJh4paUZGQ00+MXeqCkeIzJZeRHbgbN8Q9pufkEoJqZqylS2ryBUMoXYnbiYiKQFy+awUR+dL+vS3PFzpxh5Ipdqtuum4F2Q6KLpYxw2alaWaWgmoDLDAktqanq71Uwtr8lwdHfNlDSvv67MiNoM9z4qWtM6jj2l6xnIlGP0yHE0M7M2MLBsXmGV5+O4OhlS/aQKn+pbZofsrnxgU59hPJzMtEAiDbQ6WuryUsuGdRWcWVIndaD4lcWxlaloMw+0985EpK7XkGgWbeKLPLqFsXm5o7iogvVIolx+NULA/XIH5z/OKQ0VvPuWTTjLTB0ns24Mllne81M450+dwnci0uxfptccetZUkW0UDsr4fD77wewWlXNj17A1nHP8ibzDkv2O4JrbE2tlcCfbrRho9qhk/LUmAlhiLsbFXNAuhkUijZjyAO2JduIORcpDzJnUsfnRCA3r1C2ZUnEvgPAjdW82tfzE7+OgiMD/ZB//tie49/zYUVaA8/9qExlGYtXytt6wbEsptgD3bqyeo1aOFU+XHf7+Mkt1tMT2X37x+OOkjjif/3nJ3vnD93f++7R5kDK3bx3rTAxBH7tg8zy5C4f32gIWTi7Ek4KIlK1RWzm2VGe3hPQpNShIbSVtld1yRbBYPL+MRT51tDdPZEJhBNvecq1jw1EUUnNKVLJlGtYVFV4TS8EPAmt+6Ccmc04MzbkunFszFPnUSezoEkdk5ouUxbreche5U8EOr6gAu9PKXCAz4U52J00GlmCYWRkW8XpragHF8ugwSJbpdtKYj2P65N8/LcA5dMbabNIXWR7j9229730NXClsx1LQvpa/KJ7H3jTM3Bwo44JjXA9Fpgl27WEBpUQGEv3AygAbNWSi3rqJYw6LcDz10MDTzC41QlzHXtkyZ35iqscsDRVSHJe78UJqpaPTfczNjTqwEtUZMgZUTaazHapzq4fmnPKCdi8tYs6za/BmDZ8jgyZxUWLK45eoqky5eW4QYhfHudjGXNuq4thkfRGPU1MmHkufd+vXwwDTzW4/P90MwfbEt7JLfWaYohMDjJWIdcMm2J6A16WRKRbnx47fJWZcb8oLuAhGZgU8p8hT1o+CgCMPWcxREUJ2p/vakbmIDQ/xN++9hs+/vHgYSPvSomXCnt7Gte5Ujw/syKQj3f12QUzsiHi53zPRDc0xAN/jzM1E3nlDnPAjIi8tft2Ua+dByty+dYyUyF4JTnanauC6vTK+0G/Zwv9FsFAy80AVWu4Ct2pw9mEB6PhyBAfPMgYXFTfDovepkwiE3rYJACB9d3IM7oGWX+y5AFXEcCGe7tAI8iUmphybwiX/xh2vnxpeot5HDfmj5+A0U8Fx+y4wNewxQvxFLzD1zkzuHqDcixUT7VBdEXGTHINH/75dNcwIFWeZ2bkXK8XWl6g5hTNcL8DxsYS0MjIcB7EFdHYc57BgWB7qYiSO6dYsjrFTXxni9XoIYOPYx1xJHDy3Ky0cp1uCI/yOq7Yz7weg13qpBiYVPCtS05dHuAdH8Nxf6SCrR0p6JbTyFrMJLy8CgEoBvGKCwEBE+8ikNkfYOLI5xb8rQ820OBZkX2kimOgH+P5Q/XZpfBg8ndehSVxlcOVwQBz7Mz1c49s3DMy73rCMGimziQN6892ClHIMvNhnT2igl5ujzakJ7GVanmVZ7eTANGh6gQbhvpUC2Uxw4mtJboig4rUFBbQH1qCQAOVybL/7iQW5A2X+EGuVOjgngyv2ljrVx7jlx9XTklKe9UVBRWqksOT83ZfsPZ8+ief/zDbGd7uK+2d3dAYznAvc5OQ3GaXYNKfuR006QFba+cQ/Eoldyd7/R+/9s/dg8yBlbt8ylr33j4vz0f8ZX7TPPQSnwgWFQNbEgcOhUiN7rDx8gNd2KnjfC0soLSxMRBwfCxCDnUwQCMUudsudMdRFP3ARgY+vGAtqqNyr7gdTvGTJcP0IktxuUMs8BDLyM9yhZyLiFaym7aXYeQ2LuPZp7itPnRfqh5wYYNG82LY6NzsgJy4YLMzm3IsxoGMH3bF/WLI9E1wX6cg+MUKZUawnPnbFdwuYugoMrUQIAFhq2KnA+e9UDgd/QWL6JQsTjG3imKy7k0n21J/G0D73s9Y7aVjE2BBMWo1wTjql1LGsVBDDyW1Xcb4zPW1+WcOzoCMgviBIDMviyOEsAynq0wLmm68ZuG4JDRdLiWFB+gEyZG/axvwjuDiI4RAJCqU9fABF18yxrM3ZHsb8BaW1305+fVS0shufN0uVnt4DlYJpdOaOGH19o34r1uWgbIDW9hQZAYoVPtS9FfdTTPBeLzNwbhAjQGG7g33FgbH0SJ2exEHvH5ZAdivIOJYVFP32Dbxnp2rnK8WYNwysXlK6cWcs0mujlFaJcB8X26Zzcq2B51GORdpHSlZHbbNm+idnerfeM80RjCFl8ysR2DlcM26+L7OxOq6UW7rN63ezU33MlUL6Nacsz4OUuX1r2bCIndvFtgYKuuN0BGlUEdvZENgXFpAmH/tYBCY+AKXslMsGZc0pdinXGod79rBjLnUlKObEnjL3YkFiAmM3AwnPdm8LE1tg6PSpqssGi4VEQZyZNRYk9fDRPZHuSdNyIR16V9PhF9oIZtaG+Gy3ZIt7ZyKyq1kCsiO8DMFeI7y9/kO+CV/iWuA1LFqXXvZKoYMlKJa07YqWKnaqeH7LI9tRNtVxUqI/caAZwd1rIQVuZK+CY57ZwrON9JllAudHsHAhxUJfUKwGzUuhUfHYHu6L2TFmfmoz68lERWMKg/V0/EINiFhCKSZWYijHhxk1NMq3J64FOhMFb3dLCIynBQQpBK2S+XJQNqDnIMD9kSYuOnfJBKrNkOHZrmqPKd31D4q4rm+/ZtlAZusIxCUDbVA83AzST6F9cpx9eQVOdFBU1lRkmQ3abgUg5M4Ec3CoOA/SZY91sAr6HBRFGpnIWv+wgnLkWidoMvlEtAmgUo05/JdbGONH9q2f1KSgWQjBM+kFyE6S/k3V6doMGVVip5iZ7AfabFDLYGUNcG/2HtOs0rUmMlqNEL9TjXq7agHtRh3HXBwjU8cNwKQgMq0hoN6t3D4jeVx/HzYf/Er6RomgCaW2I3HkwyKfPCXZe37o/o9zxOZByty+pSz7/j8gzr/4X/FL5BlzZ+oZLqEcGQAudkz5tTbD7oNATC9F19hl3YVmju3kKMf+qVMo7zRCfEETFwsumSuZg3OvN2/VMsibn2Axo2Q8r7sSmUz3UauHpjRZTFR7RK97r4Lzn983efy3bWChu9bUxmuizk9T8xcXwN5YHmGn1whtp0h2SUOp26MizluO4EyP7vCodcLaORfs2LWsCGnY7E7M+vtQnZeXimzXTHiNNNqZPsunt3Py+plIQTM/7QkWbbKh2pPDKqjHGa8vl2Yng0GeFIA7Wb4YFU2ojj+ZYPe+NoRTZUCQOHCODAaaU8s0FFJc20tLGF8Rk7LP99Q5KJt+jJtZ4NtXbNJQSxGtse2QS4rnYcaqGZpKbSO0Yw0CzI3Hdw1rtV21Y0sG0CfnLrM/rlgGQgTzZaK/+4kFCt6RssLn1zA3V4cmj79ds15GNHYP9jLrIZTPprUmh+nWnFtnehj/h7qHMwjs/k2Keb7BKLOtpPP3dQMTKguwM8G8YObyi6u49koEDEovwByuRNikkD6et7yezNjH752xPWO2EGhPcP76zDR2NjUI8VP8v5hgDtZDzA0KzoWefUfdDFndruoTFZPD2JSjoFkqWRP0PS1g7PPjdDcjuJp2tifOy39fZHEsWecv3vtxjtg8SJnbt56FhRzzI8fKYYbi5ABf9lHRGBwLE9R4W+pE6EBbmj251MKuJRV8ed953XpreNlhjQaeq1cS+c3TWCA2a6ijn+7BgRQTLKR5XAp3L0fBcFzwuiWcK99zh0qwfiISKFUycaxPSOJayj/QdPhEaa1vVfxMfWY02C+uImPw1k0smkzpE/cyKlqPo/UGruPCAsbm3evmxJbGoGA7Ys8iiEWKmnViWwERZDNYpggVH1NI7T1Xm1iwyWg4MTCK9eO7Nt4lZWy90sGzedMWFu2D8t2xDnkjNiF1jBpcjmxeUNZfxGjnbgZnVtuEHgh1T9b0utkgrhLZDnijbn1xilqaIpCVlrhwunl8w3rDrrGsQSzlzs92MW7nD6ysQqZOPhDMM0zyLRIutEUe14CEIPPEwZi2pzgms5MT34DfI9/0RNgSgrt7zoleCcdh6WyrZqJ+ZG69tmB9eRzRDFByWChQBEqq/+GcyLevW7fqS20EeWwUKLoB4Xd87JvOS97Y34hAdmYT/ATz7XTPMknF5PD3k00GvQzP6tWOaaXczirRrQqxjljJkuebKfh2ZajPUNevg7IFDytDzIVdLVMzi7dbMQFJPzHVbUcwzk/sHg5S8tilsGDikZOC4fXuhBM7rkliSynuM0+cnb8p2dJ/e/vP38HmQcrcvuUs+8H/izg//y/NORKrQLGyq01jmhRSa3s+yzmcUmyOj2JXM0+VN3WXfL1ku+XPr8Expw4WQS8TGSs2hDXl2EUpipmPL48RDHgpgpzb4S4mBZG+pryv161rKx10MYaCaWVkvX5onpYlRkWAe7slfP77X8Hinle1FDmsq/CWTaS9ScNly4HOGNmRklIZR76Vl+j8vFSkrAt7KVfuoeKsk0FzREQkSY01JYIFb79sOjaVCIvuwgQOhwwoR5QSWzSGRlVp2lT2pbz3IEA5zMtMEnygGCM2UCxp2WWi86WUmNiep0EaAaE3WUCaJfBTkfJUBeeUnXWua/1q6Pi4S6fGBrEGVOfdrZgzpagfcR+z1EoLXZ179dTo5zMPc7saHc5cOZphOtnHuOWNJSI2QmRriTzddrcCYGZ9JvKOGyYmljjQkXE1Y5KK3GyWx+xJHjT+5RXDCrFDcUuDs8hDMMbmecyssCxbjbBRuNY4rGnz7DKCn9oM9+ylh1V+L7W0+WaGe1w+EqyOfVMYnhbwvHol1YpxrL8RGyheauG6btQx1xmEJTr+ByWsEbczquMycMuD4hcmBhr/wppRlk8qNm7ia4Yxw32UNbtLgbnmFIHBuIj/syFivq9W5OHYjhwTKGmQQYA5sXAE397JrjZvDf64ninGywk/IlnwV+58nGNsHqTM7VvXMgcOJ3ZFCqE5iytNo8DSqW7U0CL+O68i+p/qboLiWY0QDoZy8aw9P7GL/7emcORMfxNLUNVyyfIQgcaFtsjpHCX0ahPH2aoBnMduw9zJvbYAh31igJ1iojvphw7g1NifhlmY4xaTodKyj2tudjerzxCotKbIjASJ4XHaE4zRTgXXeKl9e/VQXiN3w47AqYngGCxxjH2U4EQM7xBoepsdqfuBiKNZhS+vqIBWbIyOaQHjfrVlDR1v1PEa09iFFAFAfWY0aJaoGuFhx+ZlIpJYaSd24WDJsmBWK3XgLNpTPPPO5HCTQxErY7FpYH7HzSzIpRacM0szqQOn6aU4dqCObFQ03ZHEETnbt668NF/HlFRnRw6XInjPIlaC4dwPYmQs1gYi33XZGGjEV3CHzW7gZX2+w4LhU5jFHASWBRv6Vt4SgTNb7OPYJQW6XmijwWfqgL20q1igSa6UMtSSI8cyLIhs+lZaeW4Z18jv/cLEHCdpuhcWrMPziYH1/nl81/RvmE06MTA5/CAx+vKwaB2Z333dsFLHGVVsaY7iSIqpUdkZALPk1wvAWjupTKWbFH59DpMC7uF2LQoS97DK7ls3rXHiccYeUKX43lh++2U0d6X6Mu2VjmSP/YhI484fv5u5d3/L7e0nfuInxHEc+bN/9s/e9j0f//jH5Tu+4zuk0+lIuVyWJ554Qn7mZ37m0Ht+4Rd+Qd73vvdJu92WdrstH/jAB+TTn/70V3Xeub3BjZRSBg3MkowLVq5IHMOApBrQcEHzUyyG7YntnpkBaU/whexMEChcbMNBD4r4/YUlBBIiAPot63tP9lHiqc2s4Vo5Nkrmp07hs88uQwPjsyfg1JiajR3sKK82kVbeUkXL/TJ+bmd3WjTvZAQr0lHGCv7slkxCPfRwD9yNXmve+ZiFVBU9PRMB4zM6KOmOtGDic2UtDTy5YztUlrBiBd+SDZQoGJbshsUxxn9hYunsIMHxTvXxHFtTk/9/ZN9S7V6G8S4oSLSYWOkqiPE62SEimFOXW/j/+X0crxegvHG9oY7ctWCyH9gcEUEwRjbLftmorOsNjGtb6btXmtYskWWSJ3aN2XKcsQ1EKbYyAct+FaUO0zjfpwWwXWLXOm6LmGYQjeUuRwwD1p7a3MjEANGBBjkzDYqIi2G2bFoAOPtaw4JZfi+ZnamHVnY6MTChu5EP/BhLZdMCtEhODHB/FG3slSyo2apiLlPFlc+PtjZAB3XK3gcxNjFBjDlE7FMjxHlP9+y7dmEBz54ZW4759QbOQ50WEZHXOnDy04KV0wh4JsCaZSsKIb68iCzgus6to+XmvFEDaGlkGkp3Mm4m3AwRQn5+iP7O0pOIlvuKIh87K3K5JZmye7LHfuTO57lH+4ozKZ/5zGfk53/+5+XNb37zHd9XrVblz/yZPyNvfvObpVqtysc//nH54Ac/KNVqVX74h39YREQ++tGPyg/+4A/Ke9/7XimVSvJTP/VT8n3f933y/PPPy8mTJ7+i887tjW3Zj/wucf7evzbKKSWwY/098ax2XpvhfUwX5zEBmzV0XX34wJrOiWARerlj5YDtKhalsY9FlvTDQorz1kNN106t9BR6CuLTLznT/45YL54L7RxbIrU28YUU52afIFJpRQwnk8mtDe7ux2ozHDdxrLsxGUMzD4t8IbMGaVPNqlxo4xoJvFuY2A6LWAoRza6oky+HRonma83prYyX/bLIrqNOUUs+LA01NBVemlnG4FoT18X+RnUFR+Y7SQexibE5YrvH2kwkmBk+KYishxKDhJcW8eyX1Wm1p3Cq21VrecAsBrNeV5tGZX2lY2DPUAGsT+wig/bUjs6pAjAmB2UDSIpgXk18nKNbwjnXhrc6IVLJ8xkIll1EMDcpTsZy0rAI50w2GLt48/3sUuzpPCQegpkBBjqxC8ccenZsMuKYFdupoFTaDJFdC3U8ydB6agfBy4W2aQSFHubV6hAByoUFBFXDIjYNgwD3e1DCdRVSjMFByYKcqy28P1Q8VDlG9uWZbWQ2n19CN/SjRtXhcoxAgWKQxGxcaaE8xjKgnyI79sSuKVLze0kqO4G67amBn4MYv3sZnkUjxDPulfAMWLrrBYfVd3eqdw9E7mTFVCSJDZfFUmC+HUfuO5k1PiTyR77y093NvqIgZTgcyh/8g39QfuEXfkE+8pGP3PG9b3vb2+Rtb3vbzd/PnTsn/+Jf/Av52Mc+djNI+Sf/5J8c+swv/MIvyC//8i/Lr//6r8sf/sN/+Cs679zmdhNoGMRYAEkxZMqfi81btqwXylgX/Z2qSqN7oNb1ApOkfm0BGBQ3w3Eps++loGt+cAufe3bZFqizPWvwt1U18SzSnjMxZP1QF+B93VmzLNUP8Bk2HGxNbEFmKacfYJfVmsJpUrflK120Fib4/E7lcH+dmYdjXm4ZoPRSG9e7OrRAoE3wZmiBgZeik3TkoYMwmShtvf99dcZ5bI0IFuWTfSt/iOB91MOgPgZ7BB2Ucd3MfqWaaSFjqjXFvTHYETGsCDMzfmYZFOIrSJd+eVFkvY6/D4sIMLol64bcDzBGtZl9druK6ypHyIqwpDMIMMcecbHL9jKdLz04YBFcO/EctRnmLjt0d0si77oBh/vRc1BaXhlaAMsgkWVKkcOBhyOm87I0soB0dWiBBZ9dkBgGRQTPNxXTSOH3LiyIjDLMEbZniBWvw/5IlcgwOZfamOvnuggg1hv427WmdaIWwbiwRHiqb2qwvKeLbQQaS2N8BysRMpnMylQizJOTfcUjFTBGDx9YuXJleBhszUaA1xr4tzXF+ItgE9MI8TwzB6XYzhjX+Lk1vK9XQpDChposEbHcGyvW6tUF6z48KuKz57rI6r3asXJkc4rn05webkdxsY17ilwDoJ/s42/3KtDm5eZ5Jcaz5cZCxznz/+q9HetrYF9RkPKn//Sflt/ze36PfOADH7jvYOELX/iCfOITn7jj58bjsURRJAsLC1/VecMwlDC0Gn2/37+va53bg23ZB79fnH/+y6YpwsWBmQp206VkNxe6/+MxLAALE5QZ6qHtLHcrAFc+1AWOhTiHkqah37yFY/gKtn1xCY7jQhuLVC9AYMM+GewpdKYH50Xp/a2q6n8IUq7FBOfaqeI6BoFqNfi4l27JsgnffckW9rds3Vu5h0FFWDAFzEhZIY4CI4e+YRhYZlpRcCPTv2d7uE6quu4pZuDJHdPmoHPiopnvXSJyK7vpqi7+7Cr7yP5hGvni2Bxg/rObVTwT4nuuN1QdcyLSmOp96bPKO/F8UzzRuRLIYfvsCTiExTHui3iC2kzbDviq/KslnZoGT8+uaBDjIAvVmJp0/ak+HLqjwdb1hmEuWB7YrVgzu8S1vlIdZVJEHubys8uYn6RcO5lIzTUWCgG/NAa+xAatDHHOo40CaXkdDVesR9W0AIByqNmUSgSszZdWMZfqM8OKnT+wLGRdAycyvE72LWB46MA0jpZHCFDXBpjrFxZMq4ZdjQlgpUrrfhkZqUf3MX4Uh7tRx/gsTIyuSxbL0aaazSl+btTx3Vse2fFLMYIi4t1WRjjmp09ivH/jLI55rmtjG3nIwomYxk1rimfLICxQILefiAw1sH34wPpasex5rWnzv5CCnVVXzNKwiDm3PELAe5S2fTsj1knLmln5L939M18nu+8g5Z//838un//85+Uzn/nMfX3u1KlTsrOzI3Ecy4c//GH5oR/6odu+98d+7Mfk5MmT8oEPfOCrOu9P/MRPyF/7a3/tvq5zbt9i9ui+si0S/EsgZCEVSWN8GTdrWBR6miLeL4HZsTZAUBAeWP18eYTPtCdYXDMHYlqF7FZNAS6IvtaVX1tAcEOmx8wz5cue4jwizaLQ0benWJxGRTi0+sxEpWozq3PPFFRKnYTTPbx2rYHdmJ/azjAv+uVluJf1BrJJ/cBUV0/3rMRAbEopVin3AA6GmYqlkQEQGewxs0FwIUtf7KHEHfe2MoVa08MLKLvPUiPDczA2W1W81p4avqU+OwwafqWDz1D3xBHTkKlEOL/IrbtLL+e48444H7yE6hjYYLKuAcYrHXUoAa67kMDJ7FXwDM72AD6OPDhoBoU7FSsJMXiYaPB5pifSG5lWyNoApYheYPNouyryvqvWE4g9hM51cUyKyU0KGN+jGAMRw45EnjmytQGCppODO+tl5DV8yBTKxJ77mR6e9SsdzKPEBS7let0Aq1ebcrMJ5Y06specR62pyO9+FXN0o46xWhoj+CmkcMKdsUg9wxwmRoz3zUyUCJ69r3O/mIi87wqewY065j51hE4M8Eyb08PB3PuuoNWBm+F6Xlyy7uunewioOIf/45dE/v1DGINyhLGkSCD1e8Y+soos9cYuStJBLPKODZvTbB8w8g0jxjnMMWJWbqdqYHaWnCl4uFnD504O7kwpbk4lc3/89n//Btp9BSnXrl2TH/3RH5Vf/dVflVKpdF8n+tjHPibD4VA++clPyo/92I/JI488Ij/4gz94y/t+6qd+Sv7ZP/tn8tGPfvTmOb7S837oQx+SP//n//zN3/v9vpw+ffq+rntuD7Zl7/hhcS78PSxKxJ+0piZ2VEjhZPbK+HJTUn1lqPoWnqXwN+pYuPfLBvpk2/enduCE+oGlrg/KcBQ3dDHuBwhUyM7wHNupshsru/SyxMP+IF1X26gPrRMsO9KWI1z7dhW7qL6Y8ubiGAs3cQwi1rfloGyZBzqnbslKS9cV0DspGMC1rNdH0SmyYtzMerPcBN1lpkBanVnfHgrdEQhZm5mCqQic2MU2zkfhs0kBjoP9c8oxjj/2DUA5LWBsgsQyF5s1HGNxbJTW2LGWCY3wcJ8UCtQd3UnnMwksNQ2KIiXFqbywhOfMdgTswZM5Iqd6Glz6eA4UbJsWsDMm9mcQIAOwU8X5qQBLqjnPTQ0eT8uNfoL7WteAtJiaguupvpVY+Dn2zMmX04gpIV01UrxUHpA5LRzP9mBGhw0Lm1PtX+Nq0KZZyKZmjS62MXcIyGWQnTp439u1xHSpfVjw7FQf93RuauXLhw/wnQwLeD+p2QTrkpr8/iuWmelqloVZpkCD2eeXVUAuxbN8uYNg6WzvsAYIgxb22GF28CizbqOOOXemp0yn7PB7eBxil4g1y+vZkFq+MsT/qXxbjo2dlr+2nSqCv2KC+6tGCFj4nraWiSY+/s3PfRGTs3fldWNOlmXZ3d8G+5Vf+RX5/b//94vn2YKXJIk4jiOu60oYhof+djv7yEc+Ir/0S78kL7/88qHXf/qnf1o+8pGPyK/92q/JO9/5zq/5efv9vjSbTen1etJoNO76/rl9a5jzW//IMgybNe3a6utufGJCYuz+2ppiUVtQFs/VJhYtaoUM1NFt1PG6CBbz77wKnMJ21coRSwreqytuYuIbnZBN7MqxZRwmvnUB9jILVsi0yS8qzy2b/P5e2VLXlcgYH19aNSnt7SqwKxT/8jIETQ8fIOPC7tAsQS2P4IAyMbYFdWM4Vgx+iNlohvgsQXeOXj9378tDOFEyNvzEqMYEtzpiAQhBz8MicBaUOe+VcM2P71npaebhs4XUymaOGBupPlOApGammrr7fHT/cKaAVPMjC7hEHgKB55fs+iIP2jI32Sx6z6f6lpViTyIyN15bMMXPkwPMMWZEKIDmZoaLOjmAPkneBgGc0eoQ83O3gnn09DbmJLtxx44FFXnxLmp/cPzDguGfWA4tJghoayFKWGNf5EsrmFurCqpl6YhjzVKhI4ZD6Zbw3AgYdzO89vKiNu6MLdu3WcMc+46rIv/hIcyT3/fyvfW/enYF18eAi2WR9lTkd7526zF6JXwX89pAtBeWcF2dsc35r8SuNa3Mkg/MP3fCxCKpRsyWGJx321Ut/dZwjfkAZ7eC79jpHp7LDc0wsb8TdXqGRTxDriN8Ppot+1r22Lkfux9ffF+ZlO/93u+VZ5999tBrf/SP/lF54okn5C/9pb90T4GCiEiWZYewIiIif/Nv/k35yEc+Iv/23/7bQwHK1/K8c3uDGpVe98uWCl8biDjq4Nlavqjp1IMSHAx3sCsjOKatmqL5I9TMSzGcZOxi0fjyioHdDkpYNKhBEcRwOlMNgugUe2WRjYIC1BwtN5WRHaDIWCZYuKgjwl3+M9twVpda2mJdHefSGLvTtQEWqoOS7dYvtU3DhWJkGzWjOw401U8wKLMebmbKn3nnRsl9sntY3ipH2I0xA8EslitWqhKxHf0X2gAC5xfZ2sy6FYsAZ7E4htOhCJqvIGeqipIanBWsVESKeaLX0NeMxdhHgHC9jmwTewz5iWVEaAPVqnhp0foRjX2jMtPx0ml3S9asL3ZVqv0AQlrsxlvIEERcbSKAmnlwjMsjBDJDBSG/aevWOV0PRZ7Qa2xNbXctYkBcPxHxc5852qvFUXAmWVYsiWX6E3nGuCqk+A4FsZZONUBlx/Figp+tGn6nnP2gaL2aBoFmWkJ8p6qRYWz4/Xh8V/v5zET+o5fxrG4XoLDLL++rHmK82FE6LOD7+uj+8cc4WsrJ21M79v+80u392mkFteZbPpA+z2aa1+t4/s0p/v7iIgLyYdEyLCPfeiVdadr3ab2B8TrZt8woFYB7ilN7ZF/klQUE9S930E+n9pXf0jfa7itIqdfr8swzzxx6rVqtSqfTufn6hz70Ibl+/br84i/+ooiI/IN/8A/kzJkz8sQTT4gIdFN++qd/Wn7kR4xD/VM/9VPyV//qX5V/+k//qZw7d042N8FUqNVqUqvV7um8c5vb7ewmHZlU3oECG6moSLYClR+pSUB7YQm7EWpKuBl2gSJYBH7vy3BU15qWsaGzyncApuYHu/vSkZ3pIaAgoLA9NVbCsIgF6EL7+DpyPQRYtxQjSDrTg4M5KCFFTJYLHQI1EJpTkarurmaKg6HK57BouzZmnJgF8B0DopLRdLPfUGZBAdPuBPyS+hu5JrgmYhTQxFHRtYY5D7abdwSvtScWtJ3sH6bEXm1aySlI4NxaU4zXesP61HBHT6on1VsHAYKBm0q58a3jXA8xT0hrrURWMtioW5PJ5akBVBMNjrplBDiZICDarmCsH91HUHpQxv0sjuFYV4cYz80arr8zuTMAmgEK593dFEKpmssgM3WsTQE1XdzUnjEtLz5HwCfxOmHB6LPlWFl1U3sPdWCIpQkSXOduBfPzbRsWTNPyiqmZYwytYmKZRtqZnmVqlsaHx+A42XY+17sZWzQc9/l7schDMFpM8Fxv1A2zw75hFNFbHVpzSjZTJK26EllwKIKxYBmpkBkGxxG8vlUVOTGQzPu/o//UA2pfEbvnTraxsSFXr169+XuapvKhD31ILl26JIVCQc6fPy8/+ZM/KR/84Advvudnf/ZnZTabyQ/8wA8cOtaP//iPy4c//OGv9SXO7Y1o7H4705Q8ha0mPr7UoWeYgWkBTksEu7sLbYD+UgfOdr+M3c+oaM3rfudr2DU5GQKaXmAlAWYhiGUpKoi3FMMpXWyrkJmL9xNQmznYWU4LWHSnBZR4WlM4BPbnEcFCT/l5ptc9BfcVUih2rg6RdQkSkd2qyF5mDdEoW0+NCxHrAs2MBlUoG6E1Nlwb4hgjH+OxOjQQZl5tdadi2jDEv7AT7uLY8D8n+whOqGXRmuIZbFUR7ESeyHL3MKZit2ICbHS6NzNaZc2uxFZGmRaMYkvJ79hFQLA6xFiQwsmMDu2hA5Fa1bBIoSdS9IxWW4rx/HncURE/UwX/+inul0396KxJSaUOTSnGHHz4QLs+3wNDi/imezEvE0nEuiOLGP6HrR7yjQGpKpsP7DiO7Kt0O2OGK6/kzPLYqIjvVJ7tFSQWFDCLMS1YuSQTY7/kzc2QNWAzvrw5WlK8Xkf28167/BKbwwDluO7Bd7OjGS0G/iII+qhgzAaHQYKy1ckBxoyNT59bxvUQbD8tWBdvaqPoJiarf0hk5f4u8/Vq94VJedBtjkl5Y5vzW/8IzodCS+cPsEjvVfAGlnmGRZHvuIYF4r3XsDD8f580MCcZIEtjSEx/9yU7yWvKJEiIicjM2bGrK8WxYheO/uQATr4aGS164iPQeXQfizl3XF5mQYwIfu+MsXhfb1i24sQAx2tPjPHhZLiXXmB0SOpadEtYKCPNEOTBmnmlVBE4kHy25ajdqFtjv3KE6yAIdrNmeI3azJR8+X8ROK3dijIalJ2wVRV5ZgeBILMr7Ng7KhqWqDqDg+oFhlMZFnENtdCo0tQESVy811eHfL1ugFpKty9MkP5fHFvTu3zDxnqolGAnB44N8Vy2q/bslsaGFdgva7YiM8e3UVOBvgi4nWsNXPsz27cCWBkUMItxs2R5H9gJUmhZmrsb7mPsGxC5MzE2F4/FUtrVJp5xbYYs5KLOT0fgSGPFLLHnkJeaPpGf6vVkOVxSZposx7Ho8ue/m7F0dS9BSuzimo9K2X+19sIS1pLTfWsx8My2BfYMsJfG1vGa9v8/Zx2p2QJh7EtW+b997a7vG2BfN0zK3Ob2QNs7b2CB26wByS9ipYotdUilGIvYe9bhuLnwvWND5BOn4URO9wCSfXTfFgwaHaSvjJTWVMQNtX37BAse6capg50UsxDdEt7TK2ERZfq2p5mRIEG9ujUFvZWAW+442bWXmJKlEcoQTmZMB2pqlGIs2KQtP3xwa3v5q02k0I8u6EdZCnkjC0dEA5/YnN9BGZmdnuJ1CIDl9Yrg34nSwRuhgU6LiZUO+sFhSjCbqeV33mzEljjWLC72rMzRmSC7U4kMgHqtaVkc9npxM/yNejeP7VnJjz1RyhGuKcmdmzonpVgk0ptjULhXEanMDNDI8lTi6nVo9uvhAwRBLy1i7N62oSVB3yj1bFNwpnf/jpSBWSGzsewHmONNLVFWIwM5VyIE1FSbjXRu9pWOfraH+2WbBBHLLG1r5unbrxlNnYwgZivKykAaKW6jOcV4MVhNXJHsNkEKA9y72XGB2NHsCFVhOSZfa8jjuS6E2caaUWGPrrUhnv9Mx6M1ufWzZLItTAz0WvkaX9/rzOZBytzeMJb5f1Uc+bDIf/q8yG/1kVFZHSLQIHPmdB/6C60j6fXTPVOBrUT4/ykFxU0K0MZgg629sil4jn2Vek/NqZRikYmyNraq+PuZLhbp3QrYE14KJ83SwXMaVNWVWuvq/w/Kkr0dpVPn4j/F7otMlv2yNUTsTGzH3ZjCyRUU4JkvG4lYav/EwKjbg8Datld0p9sL4DQLqXVlLcc4Jks1IgpULWNcP3AR4F3qfKyMrHP02DdwsyNIYQexsWbIXmBgw2CHwEvKrYeiKfZEJMigTdMtGZYk0JIFO95+3wVcI+nHJ/twGC93jB5KeX92o80EgcF6Q6RXw7j3lH5+UDJBMjKKuspeOtnH9W7VjA7qxMYIak6xix7o+CSu0UhfW8BnnAwA7HER4+uIObxXOjjP2tACRgZ7R0tGk4KBMxcmCOKIeWJ5pa9A4npojjzv6Ouhyec/t4z7yr+/NjP8z74GqY8cYVPlMxsMYJpiLRRCDwFnMbaSaCUyMTMqQe+Xb6UL38nYMuNo+eZ2mjBfDS4lb5UIZcOdKnRzyoptOtm3ct9eReSxfYyn6htl8mGRR7/60z9oNg9S5vbGtG+/hp9XOwhSvuvynd+/OBb5G78m8h/OQRyKWIL9MnaJxLzQkaWOlQzYn4e9UugUEgf/Xm1i112fmZAatR52K9iZP74HR8Xd+dkugpu8nsfpvlGB6bTKkTF2iIWZas1+4luAcq1pWJJH9q2GTvpwKUZWplsy6jGvtRlawELHfKNuwFK2G3huGY7l0T0s0mHBsA1UsWVZ45OntANtAidN6e/mVB1+YH1y2I3WS/HeRnjrjrkzhoMcFjWYEVMcvdrEcyBdWMSaDzZD3Cul+5fGxt5hxuDEAJ9/tWPdf6kAeqlllHeqeJ4Y4Jo3ahij3YrhQLarVjoKC8AS7VThfCN1yhTdo6BX7BpW6YuruH7+vVvC/YkgIHznDQVnula23FR2F5kozPR1JvfulMluygTz70urKFWwt9CkgGe+W7kVT8Lmj0fPRWpu4mIO90uGmxkEOVyZBip1Bb8fLU/mLU+ZFsE1N8JbFXWPs69FgEJ78xbm22+dtq7n/cCCwwA4mGzlL3ztzvmA2hyTMrc3nDlMk361xkzJntIoiVNwMs2aKHOFC60IFlUCElmO6AeGpajNVAjLt3LCesMcUGdsSq2netYtOF+yGhWNylxMrNkdd8nUZpkU4LRIrz0xsNp+XpyKJZKDEgKliW9OhUJeMw+lK5ZrRhrALI1M7ZYy3bGjgVKCrNGLS6bfMFA9FBGRX37KlHS/55KJwW3WTAuDjJSp0qBXh9Yk8jhw5U4V17er7Jq1IZ7jXhmMra0qynjn9yVr/ZjNmS//HMbnptCd0pavNq0VwtjHcckmYufkTBA8Ra71fDnbw/PJgx6ZhREBJoUg46tNHKsS4VzEObkZxi1zoGZ6raFigQkCjsTFca+04IyrOg8fOsD5fWXIkMm2XzZF1Pu1mSfyq+dNQj8Pmm5NMWeoHVSbAcslYqWevDGQWG9g7p7t4TO+Up9nngV+nMt5SnzmHNYaYpNEzuV8iek4Y+nofgGyX4m9toDs1wKC4uyJP/P1P+frwOaYlLnN7au1fgAnd6fGfFSDJLOGWY3EMQZLMUGJInaRZYhUC6McWbO3cmyOZ+LDmawMcX6qn15oI+vB8k8vwM6yM9ZyTNE6Ijemhq3plrRfisABcqd/o46MSegZnXa9YQJ0meBY1AARxQ881IVTZT+fjRqcSjk2R7Q4tgxFWBApzBBg5bMV1NvYqRqQMohFanodp/oi33YdoldrQ1wfu9gyy8R/6dQSBwGIn8LhUrI+X+bg83Qz62JLZc63bop85gTef3Rn/fQOji1inWg7E8PSbNVMW4Sg0bCAa4o1a7Ff1uenZT0/FdmsILiZFJRZpbT4QmqA3uoMwcPKyECmpJETg3Omi3FrT42iGzr62gSfGxVx3p0KngUp72/ZwnGW7zDXj7M8gJe9emJX5G2bON/lljVE9BPLPnVLdgwGCnye04LhwLxM5O25UiQDfUefK4PuA6Vwi4hMNWPI7AwzY8SV3FR5PRKg5DM534jghKd95L8WeeQbdroH0uZBytzmljfSKquR1bmPNrwTMRbOqIgFb7cisjpATxLKwBMcKprZGBVNeGtQxM6cnWWnih/YqmJhL8cIJIKiSYM3NS29VTMnQ2AiMRnFxLI6xQSfYbdlLtiDIgCgDx0ge0DtEkcMlFpMUFp6bA9/e+jAxoFlARHc50bddq7FxCTpW1NkSUoxHHd9lmNMuCKFCFkR3j9LHKeUhnymZ2UeimANAjiTcoyMzEi1T0I/p00jVt7ZqCNwYgM+Gh0+75Wg0/es49qvNcTJfkLLE57IqmaGrjcQPKwOtS/O2HrSLI1xnCtNvF7RshyzP0Fs199X3NDqEM+ADngmIi3FNfkp7u2pHbwvb82patOIZbTIoGpNECxNCkaxb09NAZiaHARSX6+b4mw/sKZ2xBUdZQ5daakAXYhntTg2ITV2l3YyyzBdaou81EEw1Jmgg/hvnUa5lcZjH2Xo5DMeHrErObeVuGBDNad476BoQVA5FimEt9KRjzMGKFRGvlNp53bYlHvErHyzVF4fVJsHKXN7w1kmHz5c8skcABF3q+ZIlkdYMI+WC6hiSdGoTEzlca9igFQvxeKdOtaPhw3/yIC41LagparYkUf2cZ5Pn0Rgcl2d7IqqkNZDc64UnmPWgzoSif6f2RQ/BdaDSpXnunAuLy5abZ/BzF7ZGCOn+rjecoyMx8LkGKaPgK5MrEohRfajM7bxS7SkUY1MNI6y5amD7AEeDO7jtQVkPEhDJcVYBI6UCrJeZt1zZw7OSUorZd1ZCmhNcI1N1Xih42Pzv/MHJuYXalZjWoDTdjMEhpRZPzHA+deGCGLOH9jYTQqmyFqZqBPV58Bmb2Mf56lrkDBzEVB9xzUTN6OK8fmD46m1PGbmKJVXDFg8KooEE2CUtqvaJ6doPWHaUyvpbdRwHWytwPEuxSKb8WG11VFRRdu0DNWaIqPUnmLMn9k+fI3DogrYOQCBViNrN7BTsYzZ7ewo/ZZ2FM9Syiw4YH8eETwLigqW4lvHMXEx9mQ5MYB2MrmZIjsOq3K7QCT/OrNohVSy4l+9/T3O7a42D1Lm9sa0UB1Qe2KgV3Ymbk5tId6tYDEuqYYIF/zENcXaYdFArHsV67PBz7OcwrWvNrOGg+sNK/kECWTTCZx9ccl6BZFeTNpw5GlvFheLNtU3yaigiJynDvl6HffNv/M8vI7dCq5tbYiF3cusmdnJAa7zQtuu3RGR8/sGyi3H1niP5RtfwYCZXjv7s9ApUi+GAM7EMTrxlRbGbGlkAmAsp/FfXkclMhG+2BWpJXg+7AzLrNDqEPdRiRDQDIu6A3chnjUqYvd/sS3Z25QxtfjXcA9k+jCzwGaKbEaX82s32xeMfJQ8Clqy6SkQ2BGMD7VgqpGOi5YviEOKNDDz08M6IHmwNNVG2RuGQOPOBPe4MEHw8UrHAJmneyZEd66L+fTvHzLV2ebUGjiuDhFQXGtinEi3ZvuBjRrG5Ch9PXVwf70SriFylcmUGfjZu42zv19jcHB0Q0G2GY1sIP6fmZnEFfFy2bSvgWXBX/maHeuNbvMgZW5vSMuCvyJO4W8oXVfVXXcrItOiYUHyTqlfMinr5bH1gskcLPbMGDSnoOOOi3AOV5s4BoMRllReWsSOfKLOd1/xFqnSacMCztea4vXOBI7uoIx/x76l9+sz0wlxxEpW1JioZ8ggHJSQIcq0VBW72GmfGCBTc61hbJGRj11pU1VTY9fEyjg2uxXcy14Fzs5P4STpsKjNMvbt3/rMSg1sSdANgEVJFNS4VzDwZa+E8aCo28LEZPL91DJaDEi2q8ZqOdVHuWe3glLMDplWR0oLjqDM9r6rOMbRIIAU7ht1kbRuWTbKvxcVFDxSSlQxNuG6YRHvPzHANd2oI8PRVRAyZc0f2jUArZvhXh/bw1hy/O6kdsomkk/vYH5UIrDQ2CjyqR0D37L8UdOSJEG+kQdqe22G53S1iUBwaYzP7JWRNalqUBi5mLeD4q1ByssdgKOXRni/CDYEZPekymS6Xbbkfu1e1HYJqM5/hu0wvkrmzryE8/WzeZAytzeukVFyUDaHT5YNJdy54yTeIkiUZpkBB+FlIq2ctkRzKvLCsva5SeEo6UTZfTjywCChhokIzneqb/gGLzNNDidTjZLQSkXs/+MnVlIa+8BpEDDIckgvMGd/YgC1y1IMx8oOrbHqoVAldmEC57OtZR42H2Rn20pkeIfEgbMKYpybnZgnCgh1M1z7Zs0E0hpTY75QwZVMnaWRMp4iE/0aFvH3RmoOZeRbictPjFHEks9OFdfdmRh4k9ozQYLPt6YYgzzOZuKjHLhXEUmrUKo93bPrqiiWhk3iGDywRDNUvNHIN12ZjbqV0kjLPighE8EeS19asWM2QvxQMddPkCG6k7156zAQVQTXkVerHauacVPHn+W7c10Ezm5mbDJK40caoI59PL933MB1fnEVzJvOMZitvYqVhEa+9aTZq4gs7iI4ud6wBoVfrX0lWZD8Z2IXY8ZnSZG9OwQv88DkG2PzIGVub1jL5MPixP8dgpX1BhbgrZrtLL3MJOmpvTEMVK9CMwpMf1P6/XoDC/tQ6/cT3xQ6FybW4JDdXWee9XI5KKGu72RIr4tgF+wrjXhYNJArG+35qfXdcTKRYmYLbuhZ4zc28ItdY4FMFR/hiAmmTTUrtF+2Rn+DIhZvYhyYUXptwRr9UR5+kCsFlDVwyjSIOaXspqlnsvgEm5ZjCwbbUzgxUriJ52BmiAFjquyUQioyq6n2R2rqpamDDEkhxfM5KON5EEhMarh7lALrIAuxXzasRzEx/Au1avbLhlFaHFtWgrTpnao1UqzOkKU410Xg8MVVfPZ3vYZ5we7VItpPJzHZ+V4JZaNH95HtWhndHOus/iERUVq9n1hPpGIi8q7rt076sGBZj7xKK6nDZMZ4mQUqEx/lt/YEz7+YAND8zhsI1i62MfZuhjkSepZVHBQxP4jtiF0AhaszjN/Ih3rzvVieTXSc3U0afxCY5s3R97G/EI3MJ4K0ExeN+ub2Dbd5kDK3N7ZxYTrVN8GpzZrpR/ipOcmZZ6n0vA0Cw3wQAMsOthT8cjJtLCa5BoOCxXBLdUx2KnB2NxpwAFs1/K0cm4ItAxJeN5sk+srYmHhGx2VvGmYqmqEFOFTxJKhw5omIXnslEilNrFcQcTSvdOAIlkZw+Cc1S0R5cxEbI2YVAi3/UG7d14xMWVlJrampjBKUSUDozDPpfxEDrzZCvD7K4W4OSnasyIOIGiXERZR9M7KOu9tVkY5mnKqZ9fcJPfRWaYY4furgvLUZZOovtzRjJKYQul1FGedcF0Hlqb6qx4a430qEz/UDkSd3kD15xw380MpiJZCzXQQEQ8U+rSiT6EsrKME8tod7q+cc7cuLeL+XInh80/bh/ku0vHPmM4tdBCG1mYGPN2oImq42cR+ZWJPJ55YRWLFD8Yj4o6LI80v4G6nhpEQ3QgR3kYsfMnASF/ioo6rHtMgTea2NAO9CW+Td128tLb3SwXMdBPjejHxrwHe2ZwytZQ3uJvfg9pxMpBJZtsS747vn9nW0eZAyt7kdtY4C/QaBAVOPUlVFNCugXyGWXFJHF3UHTo+1cmZj2F/m6R0snAdlBdbORKSiu3dHe/SEcBS7FVPJJNaEAQgzEmP/MMCUEvhuBgcy1WskyDdLTBxrooDTIEFafqSZk9bUughv1nD9LCu1lAJLCnam91/vwimNfey2t6t476k+MgK89oOyCW+JIHBhQERMTD00vRGKkZ0YHBbmcgQBCpk47CZM5slOxWThgxyWhLLqzCCI4L0DBRGPfRxrZYTnf7aLZ7cwsW7HE6U9U324V8Jn3rOO4+XLGP1A5N3rRqnuK6uqmIh85iTumUHGwwc4VuJajyaWz2Ye/qb0cufK31F9liKuM/Jwzc8uI4g6mjE4qg/COcESE8HSpRgBcjNEwLRRw5isDfEaWT9sm8Au1I5mIUnR7gcqkz/DObzUuoE7mqXbVI2Ztx8TqPzGWWwcWBa91ML1nu2aPtFje8gysezYDHG9YUHkNzVD2p4iEHt07zCY9ojNSzivP5sHKXN7Q9shOjI7FxcTxXaI1eKpYjkqwlluVxXzoTiRxTEyA+UIi+/aADu3XsmEqmohShgzLXeIWB8cR7DAisAB+InIgeI7AhVgm3omnz4sHS5r0Ol6EYCbUxWFY1mqoqyN1SF2x3QytZmJztGBlGMrVcVuLsASkVDT+Kf7FkSwPCaC+5r41rhvbWhYkUTva0+Drp2KOnh1rgMPdGSm48sxgpnIvdm/5JC1JwZCZsDFjFKQ4O8EIZOKeqqP16hCmjnal0gDANK0xz6eH/VJQs/GYFpAADAuIkB6ascaNbLRo4gpEW/URV5dQPCyVzENnfx9bNZQyklcKx2xdQEbGpJ1xoBstyIyLlgrgIMyWGh8XhcWMJZUKT6uKSSDstRBxsJTkLWbYZ4wmAgSG4OXFTfFDFjqYFxJXY81W+Ir7of9l9iPiKXJSBl057p4RkdVYGN97tUImSpmDF9YxFgtjk0hlyynpbExiERM52irZmq+x6wBc3v92jxImdvcKJ+eOcpk0Z0WSw7UHXEVwHq5pUDGmYhfgHNltoVl/mtNxZ0kRo18YVnkTVtYOKszLLKvLagoXBULfeziei61QfFl1mK/jICHoFDKwgeJiKuvkU7NTAMVWJmxeGwPqXpmPWaeUkFT1YcQFUlzTZyNTohlmBMDHIfZhmkBzvG8AoGLiSmHnu5jPF9dgHM729PGcwe4R0espJIJjlOb4bWFiemjHG32mLdiIvKWTZQSiJdZGR0W5/ITkcURGFpXm0bNJWupGll/GWY3VkYiT28r1XuGgGtaAAiZJbnm1DA5WzUEgztVA6qSmeOl2MnfqKMHE0tQY996HLmZsak4hgyQfKVUdyYG3GWLgMQ1rZRyLrP1bdfx3p2qBb958TRac2rqwV4KJx/EuLbnl6wpY+gh4LzSxJyb+NDDIRjZT0FVZ/sElnP8FGPI7MlBCfflCP7d0DIZg9BeSeTXH8IYrQ2to/aoaE0LH+ri57iOxnzug8Dk89mUcGUk8sVVyd76J28/n+b2urN57565zU1EnIO/YeweKnPuKVODDd92qlZ/L6TKNlHNEvY/ITOAi36sZaO1ARw7ndlmDYtmpCWHmQeH5WWmU3FigEVWBO+vRJaqZiYgca29O5vVpQInQDZRe4oSwqQA0CxxG/0ATpc9T9pTHGdPd5/1menHTAs4D1VnN+pwEuziPCwiKDmjGICtqgF4Cd5tTnGOimJf2FiPwFTqypQjYzCVFP8xVYBsawpnTUxNfuf93LI1aSNlO3YtWGSWxREEEMUE5yukh3vWXGwjC/HmLbzvegPOuT6zxpEi1pdpqwZMxe0YJoMA5bsXliDW923XNUuSA2aKWHNBlrv6Ad6fP+56w6izzKJQTZjZq7bqllxu4ZhP7mIcr2s24rhg5TjbrGFsRkVTQn51AUFFt4RzPrONv/VKuK+ZK/LlVe2P4xqDjX2kOhME49XZ8SDX55ZNH+ixPczbvQqybo/v4d7Zp+d2dq2JecLM0bMrkr3pT93bPc/tG2Lz3j1zm9v9GrMFs7L1w2lNrc5O1gRBpotjE/AqpKaWSrBpORIZVLRLrwcHQcVW4it2K3D0l1vYwZJ5QXbGQcmkzxmgEETKxn48Z6oZg6ZmXVaGtzaL4663FBvFeUPZTMyCNKe4Jup+UHJfGQ7ywhKCiZFvgRibIu6XcY62YnqCBO8vaCaCdOnlEUpSIhjXm3gW1WrxEyu1dUsmTLdTsTIOMzwiGLvVIcbipoqrJ+J7lgmjPyxrVilThhDHoldC4HSqb71/XljCdWQOnvfMM9DsrjrNjRpeJ2OqEt26w6+HFnANiyK/9rDI+6+YMB9taYxxqs3wbJjhyduJAcYjSExXhowbEaN490qYNyzTnO6h3PjRcyL/9hGR3/Ha3b8TzOQsjoEBudbEMWeeBbD8bkwLCFauNfH8zvYwR660EGiwA/TJPgLj48p3IphnCxPMQ6rHdsZ45oPi4fGibdVwj2wV0ZzeZD2JiMib7n6rc3v92jxImdvcRCTr/EVxxv89fpl5BrAUsQZxA6UN8290xCxvUIK+kGpAofiAaQHO5yZoVSxtTy2JsY/FuKAOcnFsZYBBYOBbqrnS2MAuSEQmOR2SBaWLEk/DJoQMCmoKZKRM/SBAgPDUDrIhV5t430O6k23n3rc8sp3slaZlNpYifG7mwZndqFup4uEDA8yuN+D0iGMY+5YFKmjpiRTwnmttBqiBslfB2FMorRwjgHnrJkCozMrw+TGDErsIGEjldjNkBUgbvtyyrMbpHpxfI8SzqM1MJ6auWYBEQdIHZYwLVWl/25Uj2BvNkJwc4PNfXrGGhmEOh5E6qoQboAz4sJbF3AwBADV3OC9cvYexj+P3AyshBQlAoo/t2j2VY9zv9YbIJ06LvPceMyq0EwNkl15dQHByuo97v97Accc+7ofg5bduGlB4VMT4sqPzesN6OdVDkS+tIoP3bdcx5rtle9adsWXcjhqfZZBIVvvL93c/c3sgbB6kzG1utP2y9cOhJkNtht28k4HCyl4s21UF6ymrIXHNoe1U4Zx6JdAjV4dwNmEu+Hly1zIpM08XeC1FsPFg6sDZpDPTBfFTkSzGwjxT4CF31Ilr5aheyToBkzpKJtLKELv+umIJegri3azhpxka7iF2UaqaKNuF8vahliqe2jHBuN0Kfmf3aOJMhkUr2SyNUab44iqcWCXC36m025kY1oKBRC3E/XBsSXslWLSpzqscI5ga+5YlmeaWOJZ3WF4iS8ZTts5bNvGsSZntByby1gvwN/ZGWhsYO4g4mlaIefHqAu7zYhvj9cVVHO+0BhlPb2Ncy8dkSnaVDfXIPo5LLRY2ATy/bwHiJAegTRzgZEjfZtmyXxJJNKjaqONZrYxwbR87K/K+K7d+D1i+jLzDDCUyjxjwMgB+QufA88v4XCM0lVnaTsUA4GtDgJ2DWLOKET732B7+TwzTawsYi0AB1H5yuNHiZk2y1b8gUrv3r/jcHjybBylzm1ve2ABupJTO5ZFlMIhVETFtkFJsMvpjXxvpzYBpcJRNcqENZ3xWHV4xwa67mBiI1k8s4IldOF52UR4UrSzBmnzimBMb+/aZugqk7VRM94P9cgjWPWoLE808jLBzzbQkw4wPqdakwQax9dTZ0+zHThUO/bMn4MCXRjjubgW/E8BK0bzFCRxPe4JzcewJrgw9YyYxS1WNRLbFwLaFVKSpKrBLI4zTwgSOj319qInCPjheZhTr5ZH1DqL+zLCITMTMAzgzc0QuthCAlGJTI+a1VyKV5K+YQB/P/+ZNy2IECYKVU32Rd92wkl7ePBVTI1Nlp4qxqM3w+eoMmYhKZA0dmWUjeFa0pDIqWpbK0WMzUBbBsb60gvF9YteUlF/pGNYpVqZRvgmgl0J/JXERuO2XrSlmfYZsSDG5tXFgr2SYoo2aCdU5+l1a1Wzil1bwDDgf2EogdUTedf0wE2f1bl/muX0r2DxImdvc1LJTf16c9b9twcB+2RbSmYedaDmyXjnsHnygWhN9ZRRwl79XNqVVyoh/23Ucoz3FIt8ZYxE+2zPV19UhHBTZJswuxI71qsmzV6glUoyNgullItUQC//i+PhurnmrzuBgF8fK7nGMsrlfRhBAlkdTNUjI0tirwDFSuG5LszETH7iNbsnYQYtjHHezdqsuBsHIu2VQkVPVIqnNEGT0AivF5QXgyhGuoREafiUveseux7UZxiVQIPRAQcPDIq6LQaUIMg37ZWSbzvZw7MstONhmiK7KqQMMBrtgEwT7zPbh0gS7Az90cPvnMPZxvtYUz3pxjHEjxTt2rZXBNaUxU+OGejx81r4G2jsVvJ+ibpdbeP/5A8yptaEFPJmWL1NHJFKNm60qSlTHGRWUCaQWwbw4TuKegnSvdqzv0yP7xobqB5gTmWNssxqwRdmpP3+HSTu3N4LNg5S5zS1vXmYy8GQnsJW7iMqoKzD2dB+LPuXa+f9RET8X2ghobtSBDzgxUFyFmCAYqZsTpfKe68KBEzw59lEeSVz8iBhgcRCYKm5zqp2ZYyz8ZNTQgd7NjjItYhf9dURwD5dbyIisDnFNMwUDczx2KyKRlmXYMPFc19gd1xrWT2ZxjM99fg3BTX7XXZshy7JfVvyN3gMzWs8oLXhYtCBFBE6bqr4iCEISRyR1Tf7eS42p5eg9MiPRLVlgwP5DO4rpETF2z8IEaq4HJRPeGxQRxD2xg/NUIoBjFyYWiB1tgDfWbFC+szGF91iaYWDy8iKyNswonO7h9cstE8NzM8O0LEyQEZkWEChPC9ZxOHOMXbM0wniRuUUmGoGr/UDkk6cQqK1pmeWo2uu9mKfB6WYNc70ztvtmSwQvRfaxGkn23X/k/s8xt29Zmwcpc5tbzrK1/0ac6GeQDaEDcgQ7T4JSg1gkUIEwyrFPVEDsQJ3dtQYW5FDFqsiYiVyRQFQBVUsIByVgVCIXbIjFMRwpgaQEgIYFA5EmmlnwFVBaD+HAD8om+x0kujPNcB2OWF+YpdGt8v55y/cyidTR05m7GXbG/UBk7MLpDYo4b2eM+9ypWtmIYxQkyFBQdTZyoYzaLVm2gXiS5tQc9Y06gpm3bv6f7X1pkJzlde7z9df7OptmRqORBAiMEEJgmVwWly3ZgI0K+1LBqZQxhW0SsK7N5jWACyKRUBHGxNi3bHzB16FiJ4GKQ0T5VhJswIDBEgQjYcsLi0C7RjPSLL2v3/feH+ecfru1jvZBOk/VlEbdb3/L6Zbep895znNIy5Cq2nZx8aERg7ygb1usRcQs3869gCWRHRU7eFGGBNY4k/V2pyVBqRrdVz4CDBTonJUgXZvHHWByzlYn07m72nUZu5d2JPYjCWq5vXCrdeGV1u5ACxEdTlI2qKNipxl3cTanEaBMkgiW5XpazezyYZsZqrqAE7LXJdci9zwza7VMYY/if9q4nR81e+Ig/kUxpheICAW59XokQe/P73thLvk0rTnr4A+rOPGhJEWh2B0yx8UL0MwQl1uMRUibi9BjoyxMLYYpPb49RRt2zQXOHabSgBiVuYY22nSVO2dgh/j1lKgWPyPPw918wG9p8xX9izi7it19d5mey0XsJu87Vn8hehI5ToXFrqmandET9K2IVjQOVdcKSuX6xOuim4maiIzDHm324qAbbdiWV9EWpFh8LKZiIpYthumb/MYO20ET9ogAdJatmZz4nXgOiVsBdokN0j3titM9JOrWiEx8Olzftu3WXMqATc9THLr52/1onI7TVabntqStc6poeCIevd/dJbb6LxMhKIco0zFnzIqYZXaPvA/7w5YMxUps8sWhNh+xJnbSXTYeo8/kKAuUwx79OREF3gkAZ5Vt23mEu32GUvQTrxNJkPZwjwnzYI7OK4JkEY7LgMjW+T/xutXVuHvJzg0nKTbxOsWjFS3rTexOmlUEAJccOESKkxtKUhSK3WDm3Qhn4l7auMUcTASIWfZBMY791u87QCNqnV3HYnbCr3yTl2nJmzO0mc7I27kxYg+ejdgJyuIE6oBIhkBMzOQbdCFsyyXjMVrrGDtDaFvK+pnIZl8M2S6g8Rhdl2SNOstk9+5yFqIYstkcEUaKfbmQg1KIrkFabVM1eqzOBnWdZSIUAe4G+k0flcrGYraFejgJTHCbrrjupqq2nbvKZnVZ1rN0lXnYn2eNu/KRFoGsT8RRyjvyDb6n1J7VOH2MfsZidFzJRtQDJF7dkeTsRdXawo+wi+uMHLAjYQfmDSUpdn+sUtYn5AEd+zB4M45tS5dJ116ASFA2SsRqPEqkUIZdSjzKXFqUz0+yRu+1eOgARJJ/PQB8eAMPKuSSZMinlmHpSgryZyDSoPjuTJA/TLra3kkD0HW+d8feCcr2FL1WSki/66XH5+4ibUmr4FWhOAgoSVEo9oYR1nUEDJEKcY+tBYFo1eoF4nXaKMV/pBykDdsLULakHKTSyKYO+sbcWaZNYid/ex/IW2FnPmIzIeWQ3UyFuABWKCubfm+Rvu2WQnbaq5QdCkwUYnXuauE2Zym3vEUaAEyv2fR+KWxn/iRr9HwhbFtxJfsg3iaAHeyWrFHcZNMF6PzVIHeu+LTxSot1f4GuOVWzwxerrnUjrQdo49vhWnLYWSZSIQQlzkLmCpffJBvQUbG6B5evW8Sw0gZeDFPmBLDmaeUgrau7QKQGhBxLJIVwyr2HPattybD/ikzAlrLWRVvo8a3pdnO9fJhEoYOg2VEFLpHtjLNQuUTnHE7QNW7OcPasRO9NT8nqpIa4HNOKTAW45B3799d7eCrwBGVD6qyd+X0v6aXEql/e0woLx0O+bbUHiIS0YnvKfvYlyzUeg+m87QD/wBSKyUFJikKxN9RcO9MnYAA3QBtkB2/WE1G2cG9Y86piiDY6aUOOeFb8KrNiykHbrdJZsaWGRM2aw4ljqgwmbASs4VvNtR4pp4/ZzWkoRX+KCNF3qFQVr1s3XMBqY+J1IhcJzk44hnQDW9NAhIW5Ce78EIIC0MY8K0vXsiNpdSci3Owv0AbZwcLL4aT1F2l4gGHiJDb9AG2QeRbYRpjciPi2HuDBhkHKwKRqRAJjdUtCRLgc8qx2aG9zXSRWMvhvGrVcm+6/AgA4Lz8CnL/dkjMHtotIXGe9AMW4GALWTidSdto4HasYsuLg4YQV5Y5HbXlr4VD7pi8I+kRmN2dsGS1VpfPKLCCA3nODdjG3mAnuPkBQPr+FMAlpt6eI3HWV6fXSPp+PWHNBacH2HaBcpc/V6WP02W/FjiQ9NzNLx0jWbLakc8/QKxSHCiUpCsVeYOZ/Ac6ahwCwB4rM0RmPEQnoqNDjW9K0MWa5LBRrWFGp2KXLt2xJkxfClBWQ6cPSWeEa6zMh3ixiHuYyaegv0KYybydtNvkIrSuFWINhbFknzKWQesCasg0nrSeGuLDO3UW+LeUgaS0CoI26ErQuuG/02LEA04q00UobtczDSdTahwGm2eslywJjaUGuu7ShRkIU10LYeqrwvotagGIhYti+ojUDkxJHukrxbQTsvBrAdrzsC90let2GzvbMwMIhuoadcdqkPYdiWAjT+cVgTgYrJmrAeyrAWfxeDOaAn8+h+/W5Q6geoNfOH6HzPXsKHfM9o3Diy+31GtBrRAsk1v+FsO2gqrv0/s3K2tlSQW4FlpZ0KcW92U2vkZZm+X1Gnq5lzXSY+V8AAGq7lzlVosURX5+qu2d5R/yAPAem56+Ansn/u1IoDhZKUhSKfSHEHhynTtCGCdipvIUw/Wf/ZrfNuvSUaFMN8D+rAhvCibBUUuqii5D5K+I+KvbtkgVolklq9G16b9OAxdhset5qZ4xj575UXet/UeBMjsz9ibPR2e+n0XohWdJS7HFXzy9n0+9SysqHrdZDSidiyCZli9E4PdddosyK61vzu91LC8kavc6BnUwsbd4yGDBWt/OUGgH6Fp+u0mt3JtozJ46ha3WNNTrbmrZOsuLcW6MymmO+Qc87HXQdITZOG423T5XengLmODRReWeC3v+gT8cUwzkHdK1117Zgi6dKlJ2CFw61d1ZJ9sU1tmNI5gTVWoz0cgHbag1QbKtByjjlw+TYmg+TH8n0vM3ITS8Ag2/a873eY8uHAGWntmSIOHZUbImn6vLASqfpPWMytwNx6DwcxTGDkhSFYh8w53wejrnbTo81oE1ENs6RBH1LzlRow6oGacOvu/abcMBY628ZAlgK0eYl2pF6wNrtS6km5NMxXEMp9bBnyxQ1l7Iz0i0jItcAd+6EPWAkDkDEvlzOEWdaEdJKCcM4dK4tGaDKhm5S6vjZHLrOLWm61wJvhiMJiomUHHIRurdi2DrLnjJBZGJ6nshEI0DZBPHhmIhabUeSDfIAq2fpqFoRrmQZxIK+r2AzSGLUJt0sQZ8261SNsiIiUpZswjudtn1XpiFLdmZLmtvDPbo/37H3W3FsV5N0M3kBOp7MqLnsbboGcYoN+rTRS5dQV3nP1m9pKy85QLzBdvvcXZbnmFT5v+rW14qou+pS7F6ZQZ+VUghYPZPicvZO64orqLvAnDE4b3yX9EwZ0PuRj9CfYf58J+pAraqGaorjCiUpCsX+IJuxtO8CtHGISFbElKlqu3mXIM8biXQBdTN5ibDNvQgxx2J2lo9xrLtrX9EamxVDtHm6hjQPYqHfCNI1eo4lINLeG2dyBMeWUsTiXyzuG5wxmZml+xmN070VwyTgFAv/s3bSBm1AmoRoA0g4VrvSW2S7c8dqSgIGmIgAg3nKRolzq7R0Z6pEFGosmB2PWQ1IJWidTaXUEvJIMzOUopKQcay+RUYMAEQscxGrCaq5RJZ2xdkp19g5N4DVc3SV6V5rnRSbsGdLPFKCS9aAxRutGVwh3K4xEdO7LWl63TiX8AohyqrVXeBPttn18rnynfZ5SlLGykXocZlgDRBpyUXsBO1Tx4mIvNlN17QjSd1HIc868EpG6JzhPT/ngzmKWdiDOfVW+3hmkv9OFIqjBCUpCsV+YPq+Cmf7Q/Sfve/QplZ1gYZrdSDJGj02HgMGcu2mXqnqnoLGVnSXgG5YcarPpQnRYvQWiDSI/qDBHiYJdlEthO18G8fQN/Akb/ZVLhkYELnZmqYMhLS2ChE4bZxKAAFjXVe7S9al9P1byHJ/V4I23xEmKKLXeLObNrmNHURUxmK2dFMM0WOVIOkpGiUiMK/3cFmkuKe3SSNs5xPVuP1aNDbFsBXJ1gP0zb8RoE05H7F6IZ/JUylEWS7RW0wvsJGYZ4dI7owTGQz6dG1Jzt6cMUrn3hkn8vKHafRnayeNGPm91W07rgZz9HhHhTJH3SU6Ty1Isfcd4P+dCXxogy2XSXeSTFiO1emeukv0vm7s4I4xx7azv9NJr8lFrLh2MEdxev9mO6NoLEa/95RslkownATe6Ib54HVA+lD+hSgURxdKUhSKAyFWb/HOYNGpmF1JZ08pRELDGBtjxerWor0ctBmN1q6MYXbdTFeBeM3qQaR0IJCptrJBObAttjITRczI8hF6PuxRliJTsZqH7hJb6HMLdTYC9Bd5qBwbt43HbClGhhJmo0A1Yg3WchEuT3H3x0iCjueANstGgK5lU4d10pXOl2KY/jxjlNZJCUnEwtkoxUMmN4u9v+9QfGouxb8atBby0tItc2ZkdpBoWMp87v6CdXIVQer2FNBfgAndBQBwnOV0jFYiIkJWyZKNsJtupEHH39RBpbJxzqg1AuSTMhGl8506YUtbvkO2+kJ6ZWzArhbhaleZ7lXep/4CxSVWt9k7KRdmwfN80pRRyVQsYdnh0LV2lYmgiN6m5sJ0cYtwH/8oFFMUSlIUigNB2nfFSwSgb+ny7R6gjaazbDcmSf83uK1YhJNS+uku0bd+sWJvuAAa1p69EaBzFEN25oyk68OeTftHG5S+Fx+NUojS9tNK1vBNbPWlDVraSTu5jNJXtD4wkoEQO3WZ6Cv3IdqZ7Sm2Y4/Zc4l1/tY0EQYxcSuFyLxNRJixOp1DsggOaE262q65EKv5oG/bbkXXk48QyRpK0XMpFpS+3UXP9xaJrEzP27JNKWTt+esBImdia787slHa8KvBPdtve4uUCSqHiIxkqsCaOF3vhzayJihBcRC7fvn8nD5GpZmJqBXc5jkrMoM9c6pB245dde1coZE4sLmDSIvP5UaZlJ3lrpzWAX/y/leCwIYOmPfcfDCfeoViSsAxxpgDLzsxkMvlkMlkkM1mkU5rblMxeThrueRTd2kjEd1I0Kdvz6eN0ybsGto8AetFUWefk7prW01FSCmQDgrACmuNY8lDlUsJrURFOmp2RyFMm3erW6xkJcSczsA+19R7+KTziDXsJGYhK7E63e9o3GplRPuwK87D8TzyGZFOoqBvreWHUnYz7Szb8orvkMYnw50lYzF6bZqzQBITuRYhTCJqbY1XhQnFaNxqOFxD2aY8t4Qnq/RaeT8i7NESaiF+k8UbPdRCLeW8rWmKlVjCP3MaEYlYgz4z00oUx54SkSohvZsyVgck2qUZeSJY0QbP3KkR+ZVsS1/R3v/OOJGic0bo2ExU1OVVMVVxMHuxZlIUisnAcwCnJaMCA8SZMMimvC1tOzpCnhVdxho23S/zaXZHoOW7QrxuiYnoNfrYolwEsjXXemLsDikDbWODNxe02clcFiElUgaJ1dl+vg5MY01EwJDQM1anTVi6cAa4pPLbPi458D0l2TL/9R47MVeyH3+cxsPuPCpF5JnASGdKgduOxVsmUbNTgQVVl0hXV4vwOOxRBqnmUhkuwBko6ZBqzRpFOIuVjdr7E5FyIWw9YA4GrXNtBEIcALKk/+Vsq7WRz0SriFW0THHWmUjWRaZNhz3rqNtaBjSO7diS+VF/7IH52KcO7h4UiikOJSkKxSRgzv8cnNf+T8sDDolaZeOvBm3rpugojGM3VMlqiPZibyWGVqSrAKotvzOkHFLn7p+9kRRxb5VW2be6m1qE5uYmm3i0YTMa5RBtoLkIfVOfXqANUDbQrpayx9xdlDmQTVT8YwLsr2EcoKMB/JEFuRUXqIRIIHzqhL0nyejkIpRpcLgTZShJMUyww2ymaoWpovWpcWwmoqxR8YgUiQ+NlKBaJ/qKA6tkrpI18jGRYwJEGnYv8ewOIYhyXMDOUBI4hko7OxN07Ym6JXtSTtrBJanpBSuQ7SrzPKIa3VuZPzutpRzpCIrXYebcAszZ/+UqFO9WKElRKCYLmXKb9GhjC7M2oq8ArE/Ykkjdpc1INpKayzoIl7Qc1aDVUYgvxcEi5BHxGY1bp9VW5CK0KaarwPu22+sIc1fLOJcQKq41dysHrTttc/5PkIShvUXghdmUCZmetxqPUojKG9tT1itlZpaOWXXt4MGRBMVJpiaHWghDukokpK9gW7Fdvp4YkzLpkpIskFjt11y6j9lZ284tviTRBl2TZKQMe62UQ3Q+x9hOpG1pW8JrHdS3N4guBqD7aiUnol8SEiq+LnPGrK9LNmIt/cshuv46d2ola/TYRJQHRKbpPvoLwHASpu+rB/lBUSje3VCSolBMEuZPboCz7vt20rFMld3YYTelOJdOxJgs2rAzXMT23gGVPKQ00F+gTbb1m3IhbL+tt4pmBdmoLQ8UwlSGkY1TpjdLuUD8U8SV1TWURTCgaxFn06BvywebM/T3TjYfe7ObXjuSoGsZyNPm/E4nEbWuMnuoODZTUQ7SBhxtENnIRjlLUbEGc1LRidV5EnPETlY+fcxu5oKRBB3PATujNux8nLAHxACcwlqUmkvX4fo8B4gJSIAJ0ETUdsK83UnvoxC63bF7dkWyYWKqJ+UiBxTvbJQ6bk6ZoPd2LMbdVlXbSYTlZMsfq5O+pVUsK3H0HJgzb6JzqmeJ4iSEkhSF4mAQ4Y6TaIMHwMGWdipBa3Mv4tqJKH37B2jzkaGB21gs5vp2hk7A0LHFkn1H0paPRPAa5RbkSpA2sfEYZQ0qQdrUhczIzJ+JKH2Tl6nNIsYFrD5ChhnyoDj4Dm2oExE6vuhs8mHSqXSWacPPR2jdaIyOIzNkokwcekt2QvJgjq5TuqOkpVhKTbEGCUgDhghHT8m2JIc8ytSEPSpDBQyRsCy3QjcC9D4EDMUmXQVcD8i06Ex8h7p93uy2pZPWwX3n74OcAMCrA3QN8TrFLh+h90FGELjGztkJe/ZnYwfwq1mUIZL3Y3bLOWW+T407eE4jQ7Y2h9fuQ/iMKhQnEJSkKBQHAfOem+kbcCukxbgYsmZvBrRppWpAR8lOQJZv3k03U86WTERpg835QCXD4tggdXTEeO22IM/BMXZAYKxBx82HgfVdpGUQg7Ni2M7tkYGGQR8IMGHx2YVWWnPrrhX4jrOVfz5gyyrSuttfsPNtQi4JOl2fshwTUYpJb9Ha2KeqdiaPCIdl8J20ZO+MW6JUCtlZPt0lIizivLqhg2Lo8pwcIScBQxu+67OtfQs5kfsT8mRYjyLDHxs8E2c4aU31Xuun45eDlhhVXaAQo3XdfE1p9pYBbPdSnu+15tpJ0wbNMlLz85OPNgc5mg995ih8WhWKdz+UpCgUh4uAsRtfIWQ3wq6yNQ6rubRJlkOkA3H4dVIycEBrQj7g+UAlbJ1ihdBIWQawpaJKkDZg0XCYqM1EJNg5FSACIiJZKU0Zx2ZOQtxKLWZxMpxQTMAG8rThZlq8TCQL4DBJ6C/Qj2hKIlx+inEGJxehdekK4IOuJ16n4xbCJMaVzEnEa+mACQLJEt2XCEmn54kUShdQ2LPdP63DBkXzUmJRsFj1y+TmMSYdH9rQ7vpbCVK2qxCmLNBgzhKnwRyVcsStVrI+QUPvxXDCZtMSdYqjuPkyDJbb8k3HEfkUKhQnJJSkKBSHCmkllfZZGYQnpZ8tGdrIQpw5EJt4yaoAtGFLOSdToWOmqmzMxiUdmaqc4PJFOWhdWMW6XjIS4oxb4nlDQqB8B4iyPqUSpCxAlHUgsYY1Zot4dPwIZ0pqLmVF5P7EUVVaeVsJgUB0FVXOJAgZmZEnohFj749SiH6PcIkrH7GakaoLjCbp/AN5nijN5EXKTaJXqbl0nN68vYYtGZtlCXu2+6enRDGOeERotqaBXJ20Ne9hG3zp+hnj0QKS2ZEhhEk2jnON7XiSOUOxhh02+UY3EGVPlNkT6luiUBwClKQoFAcJg+Vw1jxEG+9AnjZ6ma2TC9nBgeKBUeWSSNAnnYmYuRXC1gq/wd0dxqGNvdhCeCINIhUOrwv5QKBB2YhUjX4aAcoYFENWVColIWmFDvrkmVJ3iYiIp0g5ROWLTIXWhjz6M8utzHXuoJEuFums2VdXkszVKYfo3hN1ytCIm26JiZoBXa9ke2TGz+YM/Sl+MSMJil+yxmWpFh2N79A1VjnDJO2+Yvomg/hkHMFYjLI90gItJm6zs+33MH8EOHOUrk/8WsohK56Ve5eyjkxpbplsbRZ8/rA+ZwqFQkmKQnFoKHLqf0eSNvBSyPp0ZCP22/ivB6xFumgT5oxT1kDKAI0AbcjFMGUqxjmjsStOG3LAtAtSpYwyytORww2gHrYW9HPG6XydZdr4yyHbyusFgIZnSYOUT+T5eJ1Iie8QAdvJrcNvdxFxkKF3kkXa2EHXMJAnImVgPUeq3I494VrLfTEmAyhWVde6xW7K0HETvCYXoY0/2NKdIwMMow36u2QyHJAnS7xB8a66dnxAhrNVjiFyUm4ZDDnMgwmfOg1YMEz3IeWwkAd0cKwlc7Ohk+5ROnFE9Mzlvma2JHmUPncKxUkGJSkKxSHAfOA6OM/8iDa+eN3qM8Z5Bk2RNSLv3wKs7Wdywd+yDYhAhHwy8Wr1DZENPMadJF6gfVMPGNow6wEr+sxFWTDq0fG2p+z6CnuNSBtzKWQ1IA5sqafMGQ2nSI8NJ2ldR4WHFrKOo7tE5GFX3Hq9vNNJ99c9RM9Jx5IIg0VULJt/ogZUeU3FJcFvZ4Uej9Ssi21nxQp/K0E6Ty5CWZXRmB0/YECPd1Ts+QdKVgPUCNAxvQCRN8C2T29JU7xiPI8owPb14qsiXjfjUSKR4iYsxASAmfWlo/hJUyhObihJUSgOFZ7Tbt1eDlKppxoks7eEa0Wnac6QJGo0Y0XcaTd00gbaYLFtmQcKVoO2LCH+I55Dj0cb9HuIj1EOAXGZKwSrbcmHabOVUlKUS0sel4xGY3RtNZfWegESi87O8uTiMK0TrcVIgq7FC1A5JBehzMr522m9y74qO5J0Ht+xJKPMmo3+Yrv3SaoKpLZRxqYRsJ1CEc+KUvMRutausj1mMWzvqTUD5Rg76LDOJaCIR263Udb0ZKP0XH+BzjkzR4QnUbdt4zIMMtPaFQTqxJmppEShOFZQkqJQHCLMR66Fs/5/W0fTRB3IO9a4zIA29LN30iYqLbfiKxJtADNylMFwWUPS2aBNdZx1H/0Feo0Mw3ONHVjoGCsAFddY49gNfTxKJEMs2dNVIkfTeDBhpsLlHp6h47LPyPYU+Xnsilv301PHrZB2WwroCNM1tHqNCEJsc5+u2vZgcXmtunQ/Yh7nMYGK1am7Zzxm9SKigRFfGCGFXsCWXKQbSNqIZYLzSKJdN+M5QIDfj44KxTvKIleA3sNiiIcsunQ95WBTb9LmXaJQKI4ZlKQoFIcDB3azlSFyIwkiDzE2+GpErQFZjbUN3TwFeCfb6SNg1yfq7MoaoSxC0KcsQJV9UcLgjTpAGy/Ac3x82oBlQJ+YyIW5Y6ezTMRkONmu9QgYoEOGD7J3yla2iS9zNiEXoXOPxklQWgnS77kIZTcGc+1W8JLBidfZmbdl4GIhTARIJiT3setqnbUrlaDtYjIOHUMmGW9Lsc6katuvI167aDjP9vIi+BXBrg8ib9K63Cr8jTRsOW5XHCZ8F9B/DD4/CoViv1CSolAcDnpKdjMVq/R4nT1KwrQBTyvSxjqSoE1URLB1175e5v1E67atOVmzYlvRjYgYVUzRJDMR8injIcLdTNU60Yqj6TudPFG5aFuDow0iJOJJsqmTNvL3jFKWorNME4+7y9ZLRfQvIlAV19jTxukYkQYQDNB1pHgWTbRhNSQSt6GUbe91o3ZuzpZpVBKrhOhYomsZ53k2AB3LNTYDNZS0ZnPGAcaiRGBKTEgccJnLA0y4fTAgoyl67Tl6HxeFQnFwUJKiUBwGTOZ2OMW/pw083fLt3ncoA9HJ7q8OaOP/TT+JT0fjZEjmGiDFWhTfIUMwyWC0znFpFcrK7BkfdN56wPp2lILWx0PKSz0lq3PZ2EHkoBCmxx1jN/OeEnDeDtKlSNfSaJx0Ir5DZSDp5JG5QakqCV8liyJdP+UgkZ18xPqeNALWo6QUstmWsRiRsaBHWZDOChGnGnfvjLKtvkw0Fs+SmgskOIslGZsKa3nEDj9Zpfv2HJup4dZu9S1RKKY+lKQoFIcLyXbUXBaP8pDBbAR4ZYC1J3naSGdP0CYrXTKA7SIRe30DW/qR2T0+C2dlzmDAAAVuY07WgDq3KdddKgEFWgbsZXkA4JYMkYAZo6xTqVHZRdqCN2eos2UoSedfOETrtqeIwAzk6fU11/qH+A7pOopha2YnhmcAkRhwbHbFiTBIt5K0V0c8O+ywymWkaSUqAUmWSJxjGwHrCSOxH0oC2zNEpsSKH6DskR+1BKoegOn9GjDtKH4WFArFEYWSFIXiMGEyt8PZ+i3aDOtcjimyPf7GDusbkmJvjbBnh9KJJX0hbDUhCNgNXKYVSwlIBLTVIB0vGLKGZsWwtayvMgnJVNgyPkxkZd4u9lZhwzbpogkYq9M4Z4Ss3XfF6bxzdwFrphNJaQQA+ER6phfoHKmabdXdG6TzRmzhpR1ZrO8dQ6UdeFbQurGDxLrJGtBdpcxKbxH4wzTb4pyPUDkq6JNmxWPRcHeZtTtF0pYoFIp3LZSkKBRHAvkwiU+l7OBwK7KYg0XZe2QgT487xuol2G8DLpcwwBkKmWvTUqJoZkhkMGCyRoSnwh1GQdamTCvSui08IGZGjjb5bIt4txwkMjQrS4Qk7AFvdZG2ZFqJiEGdW3TPHSbRqmhuhFCNxknr0lWm4+wL4pUykLei2Sjb4/sOHVfIXLpqxa6uofuSjqFchMo5AL0+Ubc+KmEPCBoY9685nkfjjVYoFMcSSlIUiiMAc9ZNcF75AWUWYg0gyeQj6APxGmlNJFviO+RFUg7aFlohNdEG6UrEnr7OG3eQMykAt9yy8LPV0l5m2MyeoM1cykpDKS6h8GRicbkthaztfCFMWYrBHPBGDw3b6yrT/UzwNcYaRFp2xa3bapTLUq4Bhj3KaOwNkQZNMJa26zd66HdJwIhFfsgHAiFLSHqL5HY7Z4zKWwFDWZkMG71tTcOc+7/seVT0qlCcUFCSolAcKSQ4q5FnUWqYbfJDHpUmIg0qR4R8YFMHbcwzc0QCZFKww3N/JMMi045lenGNZ+GUQGsk2xBt2LZiWe871JnTX6BjjsWItJRZJOsaEqnWXGD6GL1+R5KyLKNx+nMkQeUcEev2F+jaS9wp01km0jIRpfPKfKF0td20Lcmzf0ohtuoPAvW4HTooXjAicpVSjstC4gCItAR9mPd97pi9pQqF4vhCSYpCcYRg5t0IZ/vfAwkuP0xEqQRSDllhrIH19fAcu7nL7B8pBbk+61Ng9SMAHVfKRIWw9R4ZjVOXjghTu8pUXkpXbYYFoNeJDqV1iN8Qd/P0lGyWZVqRiJdY5tddIjGxuhW8jnLpphwEwiEiQg6orDRn3F4/QASnEKbf/8c2IkD5iB1+WHNJO7Opg9Y0WJuTqsJE7gTmHOU3UKFQTDkoSVEojiDMwFcAAM7ofbSxZ2Wujk8ZFgDoG6eMirjH+g61F7usUxFxre9YP5WKC0Q9EoV63JJcDVL7bcDQ6/Nhah+OsPV7jq3eQ0yKpLwj1zWtSKQp7FlSIwMMU2x/73J5qBq0AxTFiTVZo44g6cLJR6hkk41y6zB36ZwyYY3SRAsTa1BGxQvYgYyiwzl3B8y8G4/L+6dQKKYWlKQoFEcDhTBlDiSLkovQBuwaIhm5iPU/aW2tlem9Iwn6U0pGqRodMxchMzbXMAHh7phshLIyAUPZjOEkaT/SdSIj0mI8vUCk5/QxO3xQJg6LX4rr81BBcFsx2IQOtE6GHI6xNmRzhkhShK91ep5i4Ds02XhTBvjI2zY2MTaQ66jQ/SbqwLYUzIXXH/v3SaFQTGkoSVEojgZc7lZJ1mgjnpGnP/sLVDKpcBYkVm/pZPFt5iPLZSDfodeVg0RUxHE1FwESns1CRBuk+diWJqv9RI2IhhCZ9UwKZLJxhWfVyPC8VI3IxUSUsjyZCpGncqg5WA+uobJMrE7twTsT7LuSJ7IV8ei6wh55q/QViGxlqsDTp1FWZVaWtCaDOTJTS3K8Zh6H90ihUEx5KElRKI4CzOCX4fh3t09JHotRZ0ohzG6ysEMDkzXb+VNiH5EAu8iGufvHc4AtHVTykYyJTPqtuUQotqXI12Q4QSRkJzvGnjbePp3YgPQnYzHKbNRcEtmmq0C8YbMrLnu1xHiWTl+B7mEoZScOJ9kULmDsYEOx7U9XiTyxb4zpvO04vBsKheLdCiUpCsXRgohNG2xbLxt7nIWnKZ4KHGChbD5sfVBc3xIKmY8j2hEpBcn0YAe0fjhJ5ZzRGPmRBPicYkffWSHy4nu2dOM71twtU6Xry4d5fZnIihCOaVzOAeyAwXidrqERAPI8h0emP1ddmP959XF8AxQKxbsdSlIUiqMEk/w6nFcfJjLigLIJMt8nWSMSk6oRAdnUQWRkMGfLLx6bt00rEfGQzEa0wVOP2bvk9R46RyFMJCZdJcKxI0ktx2Lg1lukCxtKWn2McayjrRck/5WaS+esunSssEcZmrpr7ehDHpWUAobM3Hx2e03WYD72qeMUcYVCcaJBSYpCcTSRD7P1PbfhVoNESsQDpcKDBKMN0oo4sG3AIc6klPmfqTizBn3bMeRwRsZ3SH8yEW2fc9NqV5+NEjHqKtuJza4h8lTkDIjPmpWaa91r85xxEYO4ubuA308DTp0g8jI7C3Pqrcc4sAqF4mSAkhSF4ijCLP4snKd/ROTD4xk7mYolKGXWn2QqRDzCHpESMWMDLIHwAoDLrbzSojySpBbf4SRQ43bkjgoJaH0HcNkjxWUNS6JG1wKfHh9nUjON9SldZSI9pRCdL1OldZsylP3pKANb0jCLP0vXMftYR1ShUJxMUJKiUBxtSJZEHFjDbNo2m2fmdJWBXSyClUF/YoPvBUhcaxxaZ2A7hsJsDjcRZf+TMDBBJZemW2uAvVgMiHxko0SIAqAMinGoxOTATlze1EFW/tMLRFZmT8DM/uJxCp5CoTiZoSRFoTja6KhQpsJziAyMsw3+WIyIA0BaEBlOWOWOHSkT+Y4V0Ia4BXiCyUZvkTIt+TCVaObuou6bugvEK0RSHBA56eRZPLmILfeEPSJCBqSDGY3ROSdiMGfdBHQcn5ApFAoFoCRFoTjqMPO/AOcP3yMy0MH+I9PZQ6Tq0p89JZ7dAyIzVZeGEjYCVmgr83/AQwerQSrz9BfomNvS5E9Sc8mSvsyv25rmmToJWhdr8NRjFtvKPKBiCGbh0uMZKoVCoWiDkhSF4lgg4gF1Q2Shu0QdNuIxEvGIlPg8YDBkgFqINCYuC2VzTFBCPnXrAFY7MhajjElPiYjM/BHgjW4rnvUCwPu2s4EbkxJubzbzv3B846JQKBT7gZIUheJYIMDGZz0lyl6EfCrBiANsigcB5iNUeok1LHGRGT5S/hnIU9tv3aW1mYrNlqSqpDU5c5QcZPMRakU2TrPkY7rUUE2hULw7oCRFoTgWmJklwlB3bUuv79j23+4SZVSSNcqY5CNEPiai1iK/q0wEp9EgF9l3OonMOLDD+qR7p7sEbOyAOf9zwKl8DanjdO8KhUJxiAgczotXrFgBx3HwxS9+cZ9rXnzxRbz//e9Hd3c3YrEY5s6diwceeKBtzQ9+8AN84AMfQGdnJzo7O3HppZfiv//7v9vWfP/738eCBQuQTqeRTqdx0UUX4b/+678O5/IVimOHoE8EZChJ5ZpcS4YjzDNvJqJWKNsI0PpZWWoxzlRIYyJmcHU2Z5MuoFiD/jQOzDmfhxn4ChEUhUKheBfjkDMpr7zyCh5++GEsWLBgv+sSiQRuuukmLFiwAIlEAi+++CKWLl2KRCKBz32O/hN97rnncPXVV+Piiy9GNBrFfffdh4985CP4/e9/jxkzZgAABgcHce+99+L0008HAPzjP/4jrrzySqxduxZnn332od6GQnHssDNOnTeRBpVidsWJWJSDlC3pLtH8nHk7iaD8to/KQ2GPxLE7E/Taepw9U3wq9wQMzDmfP953p1AoFEccjjHGHHhZOwqFAhYuXIgHH3wQ99xzD8477zx8+9vfnvTrr7rqKiQSCfz4xz/e6/Oe56GzsxPf/e538elPf3qfx+nq6sI3v/lN/OVf/uWkzpvL5ZDJZJDNZpFOpyd9vQrFkYDz8v+lX+rc5ROv29JPokYZkkKYxLDn7aDfpbMnU6XXZUgsa1J3HN+bUSgUikPEwezFh1TuufHGG3HFFVfg0ksvPejXrl27FqtWrcKiRYv2uaZUKqFer6Orq2uvz3ueh8ceewzFYhEXXXTRPo9TrVaRy+XafhSK44qgTwQl7PGMnqqd4zMRJcKSjVI7cdCnluLf9sGk7oDpug3G/WslKAqF4qTBQZd7HnvsMaxZswavvPLKQb1ucHAQO3fuRKPRwPLly3H99dfvc+3tt9+OGTNm7EGC1q1bh4suugiVSgXJZBIrV67EvHnz9nmcFStW4O677z6o61QojhbMBdfD+eUj1NEj04QbAfo90gBSDpWAMhVaP/hlYPA4XrBCoVAcZxwUSdmyZQtuvfVW/PznP0c0Gj2oE73wwgsoFAp46aWXcPvtt+P000/H1VfvOcb9vvvuw6OPPornnntuj3OceeaZeO211zAxMYHHH38cn/nMZ/D888/vk6jccccd+PKXv9z8ey6Xw8yZMw/quhWKI4rOCs/saRkaaHhGj+vDXHbt8bs2hUKhmGI4KE3KE088gT/90z+F67rNxzzPg+M4CAQCqFarbc/tC/fccw9+/OMf44033mh7/P7778c999yDp59+Gueff/4Bj3PppZdizpw5eOihhyZ1/apJUUwFOK8+TGWeiKczcRQKxUmHg9mLDyqTcskll2DdunVtj1133XWYO3cubrvttkkRFAAwxqBarbY99s1vfhP33HMPfvazn02KoOzrOArFVId5n7YGKxQKxWRwUCQllUph/vz5bY8lEgl0d3c3H7/jjjuwbds2/OhHPwIAfO9738OsWbMwd+5cAOSbcv/99+Pmm29uHuO+++7DXXfdhX/5l3/BKaecgh07dgAAkskkkskkAODrX/86lixZgpkzZyKfz+Oxxx7Dc889hyeffHLS1y9JIxXQKhQKhUJxfCB78GQKOUfccXZoaAibN29u/t33fdxxxx3YsGEDgsEg5syZg3vvvRdLl9pBZg8++CBqtRr+7M/+rO1Yy5Ytw/LlywEAw8PDuPbaazE0NIRMJoMFCxbgySefxGWXXTbpa8vn8wCguhSFQqFQKI4z8vk8MpnMftcckk/KuxW+72P79u1IpVJwHOeon0+Eulu2bFENzGFA43hkoHE8MtA4HhloHI8c3m2xNMYgn89jYGAAgcD+nVBOqtk9gUAAg4PHvqdTrPwVhweN45GBxvHIQON4ZKBxPHJ4N8XyQBkUwWHN7lEoFAqFQqE4WlCSolAoFAqFYkpCScpRRCQSwbJlyxCJRI73pbyroXE8MtA4HhloHI8MNI5HDidyLE8q4axCoVAoFIp3DzSTolAoFAqFYkpCSYpCoVAoFIopCSUpCoVCoVAopiSUpCgUCoVCoZiSOKlJyimnnALHcfb4ufHGG/dYu3TpUjiOg29/+9ttjz/88MNYvHgx0uk0HMfBxMTEHq8dHx/Htddei0wmg0wmg2uvvXaPdZs3b8bHP/5xJBIJ9PT04JZbbkGtVmtbs27dOixatAixWAwzZszA3/zN30xq9sHRxuHGcWxsDDfffDPOPPNMxONxzJo1C7fccguy2WzbazWOFvv6PC5duhRz5sxBLBbDtGnTcOWVV+L1119vW6NxtNhXHAXGGCxZsgSO4+CJJ55oe07jaLGvOC5evHiP13/yk59sW6NxtNjf53H16tX48Ic/jEQigY6ODixevBjlcrn5/AkbR3MSY2RkxAwNDTV/nnrqKQPAPPvss23rVq5cac4991wzMDBgHnjggbbnHnjgAbNixQqzYsUKA8CMj4/vcZ7LL7/czJ8/36xatcqsWrXKzJ8/33zsYx9rPt9oNMz8+fPNhz70IbNmzRrz1FNPmYGBAXPTTTc112SzWdPX12c++clPmnXr1pnHH3/cpFIpc//99x/JkBwSDjeO69atM1dddZX56U9/atavX2+eeeYZc8YZZ5hPfOITba/XOBL293l86KGHzPPPP282bNhgXn31VfPxj3/czJw50zQajeYajSNhf3EUfOtb3zJLliwxAMzKlSvbntM4EvYXx0WLFpkbbrih7TgTExNtazSOhP3FcdWqVSadTpsVK1aY3/3ud+bNN980P/nJT0ylUmmuOVHjeFKTlN1x6623mjlz5hjf95uPbd261cyYMcP87ne/M7Nnz97nf2bPPvvsXknKH/7wBwPAvPTSS83HVq9ebQCY119/3RhjzH/+53+aQCBgtm3b1lzz6KOPmkgkYrLZrDHGmAcffNBkMpm2D+WKFSvMwMBA2/VOBRxOHAX/+q//asLhsKnX68YYjaPgYOP4m9/8xgAw69evN8ZoHAWTieNrr71mBgcHzdDQ0B4kReNIOFAcFy1aZG699dZ9HlPjSDhQHC+44AJz55137vOYJ3IcT+pyTytqtRr+6Z/+CX/xF3/RHD7o+z6uvfZafO1rX8PZZ599SMddvXo1MpkMLrjgguZjF154ITKZDFatWtVcM3/+fAwMDDTXfPSjH0W1WsWrr77aXLNo0aI2s56PfvSj2L59OzZu3HhI13Y0cKTimM1mkU6nEQzSeCmN48HHsVgs4pFHHsGpp57anPytcZxcHEulEq6++mp897vfRX9//x7Paxwn/3n853/+Z/T09ODss8/GV7/61eY0ekDjCBw4jiMjI3j55ZfR29uLiy++GH19fVi0aBFefPHF5poTOY5KUhhPPPEEJiYm8NnPfrb52De+8Q0Eg0Hccssth3zcHTt2oLe3d4/He3t7sWPHjuaavr6+tuc7OzsRDof3u0b+LmumAo5EHEdHR/G3f/u3WLp0afMxjePk4/jggw8imUwimUziySefxFNPPYVwOAxA4whMLo5f+tKXcPHFF+PKK6/c6/Max8nF8ZprrsGjjz6K5557DnfddRcef/xxXHXVVc3nNY4HjuM777wDAFi+fDluuOEGPPnkk1i4cCEuueQSvPXWWwBO7DieVFOQ94cf/vCHWLJkSZNlvvrqq/jOd76DNWvWNBnvoWJvrzfGtD1+KGsMi5kO9/qOJA43jrlcDldccQXmzZuHZcuWtT2ncZxcHK+55hpcdtllGBoawv33348///M/x69+9StEo1EAGscDxfGnP/0pfvGLX2Dt2rX7PbbG8cCfxxtuuKH5+/z583HGGWfg/PPPx5o1a7Bw4UIAGscDxdH3fQAkqr3uuusAAO9973vxzDPP4B/+4R+wYsUKACduHDWTAmDTpk14+umncf311zcfe+GFFzAyMoJZs2YhGAwiGAxi06ZN+MpXvoJTTjll0sfu7+/H8PDwHo/v3LmzyVD7+/v3YKnj4+Oo1+v7XTMyMgIAezDf44XDjWM+n8fll1+OZDKJlStXIhQKNZ/TOE4+jplMBmeccQY++MEP4t/+7d/w+uuvY+XKlQA0jpOJ4y9+8Qu8/fbb6OjoaK4BgE984hNYvHgxAI3jof7/uHDhQoRCoWYGQON44DhOnz4dADBv3ry245111lnYvHkzgBM8jsdaBDMVsWzZMtPf398UaRpjzK5du8y6devafgYGBsxtt93WFCK14kDC2Zdffrn52EsvvbRXQdP27dubax577LE9BE0dHR2mWq0219x7771TShh2OHHMZrPmwgsvNIsWLTLFYnGPY2scD+7zKKhWqyYWi5lHHnnEGKNxnEwch4aG9lgDwHznO98x77zzjjFG43ion0eJ5fPPP2+M0ThOJo6+75uBgYE9hLPnnXeeueOOO4wxJ3YcT3qS4nmemTVrlrntttsOuHZvquuhoSGzdu1a84Mf/MAAML/85S/N2rVrzejoaHPN5ZdfbhYsWGBWr15tVq9ebc4555y9toZdcsklZs2aNebpp582g4ODba1hExMTpq+vz1x99dVm3bp15t///d9NOp2eEi12xhxeHHO5nLngggvMOeecY9avX9/Wrrd766zG0WL3OL799tvm7/7u78yvf/1rs2nTJrNq1Spz5ZVXmq6uLjM8PNxcp3Fsx2S6pLCPFmSNo8XucVy/fr25++67zSuvvGI2bNhg/uM//sPMnTvXvPe979V/1/vB3j6PDzzwgEmn0+YnP/mJeeutt8ydd95potFos2vPmBM3jic9SfnZz35mAJg33njjgGv39uFZtmyZAbDHj3xzNcaY0dFRc80115hUKmVSqZS55ppr9si4bNq0yVxxxRUmFouZrq4uc9NNN7W1gRljzG9/+1vzgQ98wEQiEdPf32+WL18+Zb4lHE4cJQu1t58NGzY012kc27F7HLdt22aWLFlient7TSgUMoODg+ZTn/rUHt9sNY7tOFSSonFsx+5x3Lx5s/ngBz9ourq6TDgcNnPmzDG33HJL2xc4YzSOu2Nfn8cVK1aYwcFBE4/HzUUXXWReeOGFtudP1Dg6xkwBSz6FQqFQKBSK3aDCWYVCoVAoFFMSSlIUCoVCoVBMSShJUSgUCoVCMSWhJEWhUCgUCsWUhJIUhUKhUCgUUxJKUhQKhUKhUExJKElRKBQKhUIxJaEkRaFQKBQKxZSEkhSFQqFQKBRTEkpSFAqFQqFQTEkoSVEoFAqFQjEloSRFoVAoFArFlMT/B/e6HwLziFaoAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -109,7 +109,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -144,6 +144,13 @@
     "**You should know**\n",
     "* How `RasterMeasurements.from_*` differ from `PointMeasurements.from*` or `LayerMeasurements.from*`"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -162,7 +169,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,
diff --git a/book/tutorials/snowex_database/8_wrap_up.ipynb b/book/tutorials/snowex_database/8_wrap_up.ipynb
index a66f049..90da625 100644
--- a/book/tutorials/snowex_database/8_wrap_up.ipynb
+++ b/book/tutorials/snowex_database/8_wrap_up.ipynb
@@ -7,29 +7,43 @@
    "source": [
     "# Wrap up\n",
     "\n",
-    "## QGIS \n",
-    "\n",
-    "You can use the database with QGIS or ArcGIS. There are some [examples in QGIS](https://snowexsql.readthedocs.io/en/latest/qgis.html) in the documentation on that on Read the docs for the snowexsql\n",
+    "1. SnowEx database is going to save you time and frustration.\n",
+    "2. Its structured into 4 tables, points, layers, rasters and site data\n",
+    "3. Forming queries is best done using the new API tools `PointMeasurements`, `LayerMeasurements`, `RasterMeasurements` and their functions `from_filter` and ` from_area`\n",
     "\n",
     "\n",
     "## Community Software\n",
     "\n",
-    "* Open Source software means you can participate! Checkout [contributing on RTD](https://snowexsql.readthedocs.io/en/latest/contributing.html)\n",
+    "* Open Source software means you can participate! Checkout the repos involved:\n",
+    "  1. [snowexsql](https://github.com/SnowEx/snowexsql) - Access tool for querying the database.\n",
+    "  2. [snowex_db](https://github.com/SnowEx/snowex_db) - Source code for managing the db\n",
+    "  3. [insitupy](https://github.com/M3Works/insitupy) - python package for reading insitu measurements\n",
+    "     \n",
     "* Can I work locally? Yep! Checkout the [python installation on RTD](https://snowexsql.readthedocs.io/en/latest/installation.html#python) If you are just doing python development you do not need to install the database.\n"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "compact-mills",
    "metadata": {},
    "source": [
-    "\n",
     "## Acknowlegdments\n",
     "\n",
     "Big thanks to all the dedicated scientists who went out and collected these invaluable datasets. \n",
     "\n",
-    "A huge thanks to HP Marshall who gave me the opportunity to build this a couple years ago and continues to fund it. Buy him a beer or better yet volunteer for field work to hang out with him! "
+    "A huge thanks to HP Marshall who originally gave us the opportunity to build this a couple years ago. And thanks to Joe Meyer who pursued funding to develop it futher. Buy them a beer or better yet volunteer for field work to hang out with him! \n",
+    "\n",
+    "❄️ Go forth and snow science! ❄️"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "df844503-99b5-4f74-9eea-2b0753062012",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -48,7 +62,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

From ecc3d6b3144efb5fdbb2c4befab797d04428adb5 Mon Sep 17 00:00:00 2001
From: Micah Johnson <micah.johnson150@gmail.com>
Date: Thu, 15 Aug 2024 15:21:17 +0000
Subject: [PATCH 13/21] migrated tutorial file name to match my current patter

---
 .../snowex_database/{8_wrap_up.ipynb => 6_wrap_up.ipynb}          | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename book/tutorials/snowex_database/{8_wrap_up.ipynb => 6_wrap_up.ipynb} (100%)

diff --git a/book/tutorials/snowex_database/8_wrap_up.ipynb b/book/tutorials/snowex_database/6_wrap_up.ipynb
similarity index 100%
rename from book/tutorials/snowex_database/8_wrap_up.ipynb
rename to book/tutorials/snowex_database/6_wrap_up.ipynb

From 110d86e43711c46bdaf3c9e53eb7209df013487b Mon Sep 17 00:00:00 2001
From: Micah Johnson <micah.johnson150@gmail.com>
Date: Thu, 15 Aug 2024 17:11:52 +0000
Subject: [PATCH 14/21] added more code comments a bit expanded text for
 non-inperson attendees

---
 .../1_getting_started_example.ipynb           |  10 +-
 .../snowex_database/3_forming_queries.ipynb   | 114 +++++-
 .../4_get_spiral_example.ipynb                | 335 +++++++++---------
 .../5_plot_raster_example.ipynb               | 241 ++++++++++---
 .../tutorials/snowex_database/6_wrap_up.ipynb |   4 +-
 5 files changed, 471 insertions(+), 233 deletions(-)

diff --git a/book/tutorials/snowex_database/1_getting_started_example.ipynb b/book/tutorials/snowex_database/1_getting_started_example.ipynb
index 4220218..3bb9de6 100644
--- a/book/tutorials/snowex_database/1_getting_started_example.ipynb
+++ b/book/tutorials/snowex_database/1_getting_started_example.ipynb
@@ -29,8 +29,8 @@
     "- Connect w/ ArcGIS or QGIS!\n",
     "- **CITABLE** \n",
     "\n",
-    "    * *2022- Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)*\n",
-    "    * *2024 - Thermal infrared shadow-hiding in GOES-R ABI imagery: snow and forest temperature observations from the SnowEx 2020 Grand Mesa field campaign* \n",
+    "    * [*2022- Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)*](https://tc.copernicus.org/articles/17/1997/2023/tc-17-1997-2023-discussion.html)\n",
+    "    * [*2024 - Thermal infrared shadow-hiding in GOES-R ABI imagery: snow and forest temperature observations from the SnowEx 2020 Grand Mesa field campaign*](https://tc.copernicus.org/articles/18/2257/2024/)\n",
     "      \n",
     "      \n",
     "\n",
@@ -38,8 +38,8 @@
     "\n",
     "* Snow pits - Density, hardness profiles, grain types + sizes\n",
     "* Manual snow depths - TONS of depths (Can you say spirals?)\n",
-    "* Snow Micropenetrometer profiles - (Subsampled to every 100th)\n",
-    "* Snow depth + SWE rasters from ASO inc\n",
+    "* Snow Micropenetrometer (SMP) profiles - (Subsampled to every 100th)\n",
+    "* Snow depth + SWE rasters from ASO Inc.\n",
     "* GPR\n",
     "* Pit site notes\n",
     "* Camera Derived snow depths\n",
@@ -59,7 +59,7 @@
     "New tech can create barriers...\n",
     "\n",
     "```{figure} ./images/pits_not_bits.jpg\n",
-    ":scale: 30 %\n",
+    ":scale: 20 %\n",
     ":alt: pits not bits\n",
     "```\n",
     "\n",
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
index 0e6f791..0ec8707 100644
--- a/book/tutorials/snowex_database/3_forming_queries.ipynb
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -6,7 +6,13 @@
    "source": [
     "# Forming Queries through the API!\n",
     "\n",
-    "Get familiar with the tools available for querying the database. The simplest way is to use the api classes [`snowexsql.api.PointMeasurements`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L185) and  [`snowexsql.api.LayerMeasurements`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L262). Each class has to very useful functions [`from_filter`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L192) and [`from_area`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L210)\n",
+    "Get familiar with the tools available for querying the database. The simplest way is to use the api classes \n",
+    "* [`snowexsql.api.PointMeasurements`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L185)\n",
+    "* [`snowexsql.api.LayerMeasurements`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L262).\n",
+    "\n",
+    "* Each class has to very useful functions\n",
+    "  1. [`from_filter`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L192)\n",
+    "  2. [`from_area`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L210)\n",
     "\n",
     "## `from_filter`"
    ]
@@ -618,6 +624,7 @@
     }
    ],
    "source": [
+    "# Import in our two classes to access the db\n",
     "from snowexsql.api import LayerMeasurements, PointMeasurements\n",
     "from datetime import datetime \n",
     "\n",
@@ -628,8 +635,11 @@
     "    date_less_equal=datetime(2020, 1, 1),\n",
     "    date_greater_equal=datetime(2019, 12, 1),\n",
     ")\n",
+    "\n",
+    "# Plot it up!\n",
     "df.plot()\n",
     "\n",
+    "# Show off the dataframe\n",
     "df"
    ]
   },
@@ -1044,14 +1054,21 @@
     }
    ],
    "source": [
+    "# Import our api class\n",
     "from snowexsql.api import LayerMeasurements\n",
-    "from datetime import datetime \n",
+    "from datetime import datetime\n",
+    "\n",
+    "# import some gis functionality \n",
     "from shapely.geometry import Point \n",
     "\n",
     "# Find some SSA measurements within a distance of a known point\n",
     "df = LayerMeasurements.from_area(pt=Point(740820.624625,4.327326e+06), crs=26912, buffer=500,\n",
     "    type='specific_surface_area')\n",
+    "\n",
+    "# plot it up\n",
     "df.plot()\n",
+    "\n",
+    "# show off the dataframe\n",
     "df"
    ]
   },
@@ -1060,7 +1077,12 @@
    "metadata": {},
    "source": [
     "### How do I know what to filter on?\n",
-    "We got tools for that!"
+    "We got tools for that! Each class has a host of functions that start with `all_*` these function return the unique value in that column. \n",
+    "\n",
+    " * `all_types` - all the data types e.g. depth, swe, density...\n",
+    " * `all_instruments` - all instruments available in the table\n",
+    " * `all_dates` - all dates listed in the table\n",
+    " * `all_site_names` - all the site names available in the table. e.g. Grand Mesa"
    ]
   },
   {
@@ -1085,7 +1107,9 @@
    "source": [
     "from snowexsql.api import PointMeasurements\n",
     "\n",
+    "# Instatiate the class to use the properties!\n",
     "measurements = PointMeasurements()\n",
+    "\n",
     "# Get the unique data names/types in the table\n",
     "results = measurements.all_types\n",
     "print('Available types = {}'.format(', '.join([str(r) for r in results])))\n",
@@ -1107,24 +1131,46 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Further we can gather the unique items in a query you are interested. "
+    "#### More specific filtering options\n",
+    "Sometimes we need a bit more filtering to know more about what I can filter on. Questions like \"What dates was the SMP used?\" are a bit more complicated than \"Give me all the dates for snowex\"\n",
+    "\n",
+    "The good news is, we have tool for that! `from_unique_entries` is your friend!"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[datetime.date(2020, 2, 4), datetime.date(2020, 2, 3), datetime.date(2020, 1, 30), datetime.date(2020, 2, 1), datetime.date(2020, 2, 6), datetime.date(2020, 1, 31), datetime.date(2020, 2, 12), datetime.date(2020, 2, 8), datetime.date(2020, 2, 5), datetime.date(2020, 1, 28), datetime.date(2020, 2, 11), datetime.date(2020, 2, 10), datetime.date(2020, 1, 29)]\n"
-     ]
+     "data": {
+      "text/plain": [
+       "[datetime.date(2020, 2, 4),\n",
+       " datetime.date(2020, 2, 6),\n",
+       " datetime.date(2020, 2, 11),\n",
+       " datetime.date(2020, 2, 12),\n",
+       " datetime.date(2020, 1, 30),\n",
+       " datetime.date(2020, 2, 10),\n",
+       " datetime.date(2020, 1, 31),\n",
+       " datetime.date(2020, 2, 1),\n",
+       " datetime.date(2020, 2, 3),\n",
+       " datetime.date(2020, 2, 8),\n",
+       " datetime.date(2020, 2, 5),\n",
+       " datetime.date(2020, 1, 29),\n",
+       " datetime.date(2020, 1, 28)]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "print(LayerMeasurements.from_unique_entries(['date'], instrument='snowmicropen'))"
+    "# import layer measurements\n",
+    "from snowexsql.api import LayerMeasurements\n",
+    "\n",
+    "# Query dates where SMP was used\n",
+    "LayerMeasurements.from_unique_entries(['date'], instrument='snowmicropen')"
    ]
   },
   {
@@ -1133,12 +1179,14 @@
    "source": [
     "## Query Nuances\n",
     "### Limit size \n",
-    "Try doing a large query. Something like"
+    "To avoid accidental large queries, we have added some bumper rails. By default if you ask for more than 1000 records then an error will pop up unless you explicitly say you want more. \n",
+    "\n",
+    "Try doing a large query. Something like the following to see the error:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -1155,7 +1203,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mLargeQueryCheckException\u001b[0m                  Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[6], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PointMeasurements\n\u001b[1;32m      2\u001b[0m \u001b[38;5;66;03m# Ask the DB for a huge query.\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mPointMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtwo_way_travel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      4\u001b[0m df\n\u001b[1;32m      5\u001b[0m \u001b[38;5;66;03m# Throws an exception, try adding the limit keyword arg in the function\u001b[39;00m\n",
+      "Cell \u001b[0;32mIn[4], line 5\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PointMeasurements\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m# Query db using a vague filter or on a huge dataset like GPR\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mPointMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtwo_way_travel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# Show the dataframe\u001b[39;00m\n\u001b[1;32m      8\u001b[0m df\n",
       "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:246\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    244\u001b[0m         session\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m    245\u001b[0m         LOG\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed query for PointData\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 246\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    248\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df\n",
       "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:241\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    239\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    240\u001b[0m     qry \u001b[38;5;241m=\u001b[39m session\u001b[38;5;241m.\u001b[39mquery(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMODEL)\n\u001b[0;32m--> 241\u001b[0m     qry \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mextend_qry\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    242\u001b[0m     df \u001b[38;5;241m=\u001b[39m query_to_geopandas(qry, engine)\n\u001b[1;32m    243\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
       "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:139\u001b[0m, in \u001b[0;36mBaseDataset.extend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not an allowed filter\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_size:\n\u001b[0;32m--> 139\u001b[0m     \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_size\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    141\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m qry\n",
@@ -1165,10 +1213,15 @@
     }
    ],
    "source": [
+    "# Import PointMeasurements\n",
     "from snowexsql.api import PointMeasurements\n",
-    "# Ask the DB for a huge query.\n",
+    "\n",
+    "# Query db using a vague filter or on a huge dataset like GPR\n",
     "df = PointMeasurements.from_filter(type='two_way_travel')\n",
+    "\n",
+    "# Show the dataframe\n",
     "df\n",
+    "\n",
     "# Throws an exception, try adding the limit keyword arg in the function"
    ]
   },
@@ -1176,9 +1229,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "What happened? We have put some guard rails on the db to allow you to explore without accidentall pull the entire snowex universe down. If you know you want a large query (defined as > 1000) then use the `limit = ####` option in the `from_filter` or `from_area` function.\n",
+    "We have added this on the db to allow you to explore without accidentally pulling the entire SnowEx universe down. If you know you want a large query (defined as > 1000) then use the `limit = ####` option in the `from_filter` or `from_area` function.\n",
     "\n",
-    "**Note** - It is better to filter using other things besides the limit because the limit is not intelligent. It will simply limit the query by the order of entries that were submitted AND fit your filter. So if you encounter this then consider how to tighten up the filter.\n",
+    "**Warning** - It is better to filter using other things besides the limit because the limit is not intelligent. It will simply limit the query by the order of entries that were submitted AND fits your filter. So if you encounter this then consider how to tighten up the filter.\n",
     "\n",
     "### List of Criteria\n",
     "You can use lists in your requests too!"
@@ -1565,8 +1618,13 @@
     }
    ],
    "source": [
+    "# Import layer measurements\n",
     "from snowexsql.api import LayerMeasurements\n",
+    "\n",
+    "# Grab all the data that used the one of these instruments (hint hint SSA)\n",
     "ssa_instruments = [\"IS3-SP-15-01US\", \"IRIS\",  \"IS3-SP-11-01F\"]\n",
+    "\n",
+    "# Query the DB (throw a limit for safety)\n",
     "LayerMeasurements.from_filter(instrument=ssa_instruments, limit=100)"
    ]
   },
@@ -1575,7 +1633,13 @@
    "metadata": {},
    "source": [
     "### Greater than or Less than\n",
-    "Sometimes we want to isolate certain ranges of value or even dates. The `greater_equal` and `less_equal` terms can be added on to value or dates. "
+    "Sometimes we want to isolate certain ranges of value or even dates. The `greater_equal` and `less_equal` terms can be added on to `value` or `dates`. \n",
+    "\n",
+    "* `date_greater_equal`\n",
+    "* `date_less_equal`\n",
+    "* `value_greater_equal`\n",
+    "* `value_less_equal`\n",
+    " "
    ]
   },
   {
@@ -1972,9 +2036,13 @@
     }
    ],
    "source": [
+    "# Import the point measurements class\n",
     "from snowexsql.api import PointMeasurements\n",
     "\n",
+    "# Filter values > 100 cm from the pulse ecko GPR\n",
     "df = PointMeasurements.from_filter(value_greater_equal=100, type='depth', instrument='pulse EKKO Pro multi-polarization 1 GHz GPR', limit=100)\n",
+    "\n",
+    "# Show off the dataframe\n",
     "df"
    ]
   },
@@ -1988,9 +2056,17 @@
     "* How to build queries using `from_filter`, `from_area`, `from_unique_entries`\n",
     "* Determine what values to filter on\n",
     "* Manage the limit error\n",
-    "* Filtering on greater and less than \n",
+    "* Filtering on greater and less than\n",
+    "  \n",
     "If you don't feel comfortable with these, you are probably not alone, let's discuss it!"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/book/tutorials/snowex_database/4_get_spiral_example.ipynb b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
index 8978104..caf8821 100644
--- a/book/tutorials/snowex_database/4_get_spiral_example.ipynb
+++ b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
@@ -26,13 +26,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
     "from snowexsql.api import PointMeasurements, LayerMeasurements\n",
-    "instrument = 'magnaprobe'\n",
-    "data_type = 'depth'\n"
+    "data_type = 'depth'"
    ]
   },
   {
@@ -44,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -97,22 +96,22 @@
        "      <td>67.0</td>\n",
        "      <td>1N1</td>\n",
        "      <td>COGM1N1_20200208</td>\n",
-       "      <td>66.0</td>\n",
+       "      <td>57.0</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
-       "      <td>&lt; 1 mm</td>\n",
+       "      <td>215.0</td>\n",
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-08</td>\n",
-       "      <td>2024-08-13 17:45:17.466548+00:00</td>\n",
+       "      <td>2024-08-13 17:45:49.052106+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2141594</td>\n",
+       "      <td>2149762</td>\n",
        "      <td>https://doi.org/10.5067/DUD2VZEVBJ7S</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>None</td>\n",
-       "      <td>grain_size</td>\n",
+       "      <td>density</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
@@ -123,21 +122,21 @@
       ],
       "text/plain": [
        "   depth site_id            pit_id  bottom_depth comments sample_a sample_b  \\\n",
-       "0   67.0     1N1  COGM1N1_20200208          66.0     None     None     None   \n",
+       "0   67.0     1N1  COGM1N1_20200208          57.0     None     None     None   \n",
        "\n",
-       "  sample_c   value flags  ...        date                     time_created  \\\n",
-       "0     None  < 1 mm  None  ...  2020-02-08 2024-08-13 17:45:17.466548+00:00   \n",
+       "  sample_c  value flags  ...        date                     time_created  \\\n",
+       "0     None  215.0  None  ...  2020-02-08 2024-08-13 17:45:49.052106+00:00   \n",
        "\n",
        "   time_updated       id                                   doi  date_accessed  \\\n",
-       "0          None  2141594  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
+       "0          None  2149762  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
        "\n",
-       "  instrument        type units observers  \n",
-       "0       None  grain_size  None      None  \n",
+       "  instrument     type units observers  \n",
+       "0       None  density  None      None  \n",
        "\n",
        "[1 rows x 29 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -162,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -214,19 +213,19 @@
        "      <th>0</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_C</td>\n",
-       "      <td>47.0</td>\n",
-       "      <td>39.03453</td>\n",
-       "      <td>-108.22142</td>\n",
-       "      <td>4.324283e+06</td>\n",
-       "      <td>740504.818149</td>\n",
-       "      <td>3031.900000</td>\n",
+       "      <td>81.0</td>\n",
+       "      <td>39.03636</td>\n",
+       "      <td>-108.22098</td>\n",
+       "      <td>4.324487e+06</td>\n",
+       "      <td>740536.699426</td>\n",
+       "      <td>3030.000000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740504.818 4324282.756)</td>\n",
+       "      <td>POINT (740536.699 4324487.049)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
+       "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>30048</td>\n",
+       "      <td>5552</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -238,19 +237,19 @@
        "      <th>1</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_C</td>\n",
-       "      <td>50.0</td>\n",
-       "      <td>39.03454</td>\n",
-       "      <td>-108.22140</td>\n",
-       "      <td>4.324284e+06</td>\n",
-       "      <td>740506.515638</td>\n",
-       "      <td>3032.200000</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>39.03636</td>\n",
+       "      <td>-108.22097</td>\n",
+       "      <td>4.324487e+06</td>\n",
+       "      <td>740537.565112</td>\n",
+       "      <td>3030.000000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740506.516 4324283.919)</td>\n",
+       "      <td>POINT (740537.565 4324487.075)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
+       "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>30049</td>\n",
+       "      <td>5553</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -262,19 +261,19 @@
        "      <th>2</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_C</td>\n",
-       "      <td>52.0</td>\n",
-       "      <td>39.03453</td>\n",
-       "      <td>-108.22138</td>\n",
-       "      <td>4.324283e+06</td>\n",
-       "      <td>740508.280984</td>\n",
-       "      <td>3032.400000</td>\n",
+       "      <td>93.0</td>\n",
+       "      <td>39.03637</td>\n",
+       "      <td>-108.22095</td>\n",
+       "      <td>4.324488e+06</td>\n",
+       "      <td>740539.262551</td>\n",
+       "      <td>3029.700000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740508.281 4324282.862)</td>\n",
+       "      <td>POINT (740539.263 4324488.238)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
+       "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>30050</td>\n",
+       "      <td>5554</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -286,19 +285,19 @@
        "      <th>3</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_C</td>\n",
-       "      <td>48.0</td>\n",
-       "      <td>39.03453</td>\n",
-       "      <td>-108.22137</td>\n",
-       "      <td>4.324283e+06</td>\n",
-       "      <td>740509.146693</td>\n",
-       "      <td>3033.200000</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>39.03637</td>\n",
+       "      <td>-108.22092</td>\n",
+       "      <td>4.324488e+06</td>\n",
+       "      <td>740541.859610</td>\n",
+       "      <td>3032.000000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740509.147 4324282.889)</td>\n",
+       "      <td>POINT (740541.860 4324488.318)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
+       "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>30051</td>\n",
+       "      <td>5555</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -310,19 +309,19 @@
        "      <th>4</th>\n",
        "      <td>1</td>\n",
        "      <td>CRREL_C</td>\n",
-       "      <td>52.0</td>\n",
-       "      <td>39.03454</td>\n",
-       "      <td>-108.22135</td>\n",
-       "      <td>4.324284e+06</td>\n",
-       "      <td>740510.844183</td>\n",
-       "      <td>3033.300000</td>\n",
+       "      <td>98.0</td>\n",
+       "      <td>39.03638</td>\n",
+       "      <td>-108.22110</td>\n",
+       "      <td>4.324489e+06</td>\n",
+       "      <td>740526.243320</td>\n",
+       "      <td>3028.000000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740510.844 4324284.052)</td>\n",
+       "      <td>POINT (740526.243 4324488.951)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
+       "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>30052</td>\n",
+       "      <td>5594</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -355,22 +354,22 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>106</th>\n",
+       "      <th>387</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>39.03469</td>\n",
-       "      <td>-108.22108</td>\n",
-       "      <td>4.324301e+06</td>\n",
-       "      <td>740533.709339</td>\n",
-       "      <td>3035.200000</td>\n",
+       "      <td>CRREL_A</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>39.03427</td>\n",
+       "      <td>-108.21925</td>\n",
+       "      <td>4.324260e+06</td>\n",
+       "      <td>740693.559835</td>\n",
+       "      <td>3031.700000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740533.709 4324301.416)</td>\n",
+       "      <td>POINT (740693.560 4324259.641)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
+       "      <td>2020-02-11</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>30154</td>\n",
+       "      <td>33950</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -379,22 +378,22 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>107</th>\n",
+       "      <th>388</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>97.0</td>\n",
-       "      <td>39.03471</td>\n",
-       "      <td>-108.22110</td>\n",
-       "      <td>4.324304e+06</td>\n",
-       "      <td>740531.910061</td>\n",
-       "      <td>3035.700000</td>\n",
+       "      <td>CRREL_A</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>39.03434</td>\n",
+       "      <td>-108.21924</td>\n",
+       "      <td>4.324267e+06</td>\n",
+       "      <td>740694.187866</td>\n",
+       "      <td>3031.000000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740531.910 4324303.583)</td>\n",
+       "      <td>POINT (740694.188 4324267.437)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
+       "      <td>2020-02-11</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>30155</td>\n",
+       "      <td>33951</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -403,22 +402,22 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>108</th>\n",
+       "      <th>389</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
+       "      <td>CRREL_A</td>\n",
        "      <td>107.0</td>\n",
-       "      <td>39.03474</td>\n",
-       "      <td>-108.22110</td>\n",
-       "      <td>4.324307e+06</td>\n",
-       "      <td>740531.808265</td>\n",
-       "      <td>3036.100000</td>\n",
+       "      <td>39.03436</td>\n",
+       "      <td>-108.21924</td>\n",
+       "      <td>4.324270e+06</td>\n",
+       "      <td>740694.119957</td>\n",
+       "      <td>3031.000000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740531.808 4324306.913)</td>\n",
+       "      <td>POINT (740694.120 4324269.657)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
+       "      <td>2020-02-11</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>30156</td>\n",
+       "      <td>33952</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>magnaprobe</td>\n",
@@ -427,46 +426,46 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>109</th>\n",
+       "      <th>390</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>103.0</td>\n",
-       "      <td>39.03477</td>\n",
-       "      <td>-108.22112</td>\n",
-       "      <td>4.324310e+06</td>\n",
-       "      <td>740529.975057</td>\n",
-       "      <td>3035.500000</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>39.03462</td>\n",
+       "      <td>-108.22145</td>\n",
+       "      <td>4.324293e+06</td>\n",
+       "      <td>740501.915674</td>\n",
+       "      <td>3029.909912</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740529.975 4324310.190)</td>\n",
+       "      <td>POINT (740501.916 4324292.667)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-08</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>30157</td>\n",
+       "      <td>41832</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>110</th>\n",
+       "      <th>391</th>\n",
        "      <td>1</td>\n",
        "      <td>ruler</td>\n",
-       "      <td>67.0</td>\n",
-       "      <td>39.03462</td>\n",
-       "      <td>-108.22145</td>\n",
-       "      <td>4.324293e+06</td>\n",
-       "      <td>740501.915674</td>\n",
-       "      <td>3029.909912</td>\n",
+       "      <td>112.0</td>\n",
+       "      <td>39.03441</td>\n",
+       "      <td>-108.21963</td>\n",
+       "      <td>4.324274e+06</td>\n",
+       "      <td>740660.187468</td>\n",
+       "      <td>3028.929932</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (740501.916 4324292.667)</td>\n",
+       "      <td>POINT (740660.187 4324274.175)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
+       "      <td>2020-02-11</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>41832</td>\n",
+       "      <td>41907</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>pit ruler</td>\n",
@@ -476,48 +475,48 @@
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>111 rows × 23 columns</p>\n",
+       "<p>392 rows × 23 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
        "     version_number equipment  value  latitude  longitude      northing  \\\n",
-       "0                 1   CRREL_C   47.0  39.03453 -108.22142  4.324283e+06   \n",
-       "1                 1   CRREL_C   50.0  39.03454 -108.22140  4.324284e+06   \n",
-       "2                 1   CRREL_C   52.0  39.03453 -108.22138  4.324283e+06   \n",
-       "3                 1   CRREL_C   48.0  39.03453 -108.22137  4.324283e+06   \n",
-       "4                 1   CRREL_C   52.0  39.03454 -108.22135  4.324284e+06   \n",
+       "0                 1   CRREL_C   81.0  39.03636 -108.22098  4.324487e+06   \n",
+       "1                 1   CRREL_C   96.0  39.03636 -108.22097  4.324487e+06   \n",
+       "2                 1   CRREL_C   93.0  39.03637 -108.22095  4.324488e+06   \n",
+       "3                 1   CRREL_C   88.0  39.03637 -108.22092  4.324488e+06   \n",
+       "4                 1   CRREL_C   98.0  39.03638 -108.22110  4.324489e+06   \n",
        "..              ...       ...    ...       ...        ...           ...   \n",
-       "106               1   CRREL_C   90.0  39.03469 -108.22108  4.324301e+06   \n",
-       "107               1   CRREL_C   97.0  39.03471 -108.22110  4.324304e+06   \n",
-       "108               1   CRREL_C  107.0  39.03474 -108.22110  4.324307e+06   \n",
-       "109               1   CRREL_C  103.0  39.03477 -108.22112  4.324310e+06   \n",
-       "110               1     ruler   67.0  39.03462 -108.22145  4.324293e+06   \n",
+       "387               1   CRREL_A  101.0  39.03427 -108.21925  4.324260e+06   \n",
+       "388               1   CRREL_A  105.0  39.03434 -108.21924  4.324267e+06   \n",
+       "389               1   CRREL_A  107.0  39.03436 -108.21924  4.324270e+06   \n",
+       "390               1     ruler   67.0  39.03462 -108.22145  4.324293e+06   \n",
+       "391               1     ruler  112.0  39.03441 -108.21963  4.324274e+06   \n",
        "\n",
        "           easting    elevation  utm_zone                            geom  \\\n",
-       "0    740504.818149  3031.900000        12  POINT (740504.818 4324282.756)   \n",
-       "1    740506.515638  3032.200000        12  POINT (740506.516 4324283.919)   \n",
-       "2    740508.280984  3032.400000        12  POINT (740508.281 4324282.862)   \n",
-       "3    740509.146693  3033.200000        12  POINT (740509.147 4324282.889)   \n",
-       "4    740510.844183  3033.300000        12  POINT (740510.844 4324284.052)   \n",
+       "0    740536.699426  3030.000000        12  POINT (740536.699 4324487.049)   \n",
+       "1    740537.565112  3030.000000        12  POINT (740537.565 4324487.075)   \n",
+       "2    740539.262551  3029.700000        12  POINT (740539.263 4324488.238)   \n",
+       "3    740541.859610  3032.000000        12  POINT (740541.860 4324488.318)   \n",
+       "4    740526.243320  3028.000000        12  POINT (740526.243 4324488.951)   \n",
        "..             ...          ...       ...                             ...   \n",
-       "106  740533.709339  3035.200000        12  POINT (740533.709 4324301.416)   \n",
-       "107  740531.910061  3035.700000        12  POINT (740531.910 4324303.583)   \n",
-       "108  740531.808265  3036.100000        12  POINT (740531.808 4324306.913)   \n",
-       "109  740529.975057  3035.500000        12  POINT (740529.975 4324310.190)   \n",
-       "110  740501.915674  3029.909912        12  POINT (740501.916 4324292.667)   \n",
+       "387  740693.559835  3031.700000        12  POINT (740693.560 4324259.641)   \n",
+       "388  740694.187866  3031.000000        12  POINT (740694.188 4324267.437)   \n",
+       "389  740694.119957  3031.000000        12  POINT (740694.120 4324269.657)   \n",
+       "390  740501.915674  3029.909912        12  POINT (740501.916 4324292.667)   \n",
+       "391  740660.187468  3028.929932        12  POINT (740660.187 4324274.175)   \n",
        "\n",
        "     ...        date                     time_created time_updated     id  \\\n",
-       "0    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30048   \n",
-       "1    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30049   \n",
-       "2    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30050   \n",
-       "3    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30051   \n",
-       "4    ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30052   \n",
+       "0    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5552   \n",
+       "1    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5553   \n",
+       "2    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5554   \n",
+       "3    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5555   \n",
+       "4    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5594   \n",
        "..   ...         ...                              ...          ...    ...   \n",
-       "106  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30154   \n",
-       "107  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30155   \n",
-       "108  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30156   \n",
-       "109  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  30157   \n",
-       "110  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  41832   \n",
+       "387  ...  2020-02-11 2022-06-30 22:56:52.635035+00:00         None  33950   \n",
+       "388  ...  2020-02-11 2022-06-30 22:56:52.635035+00:00         None  33951   \n",
+       "389  ...  2020-02-11 2022-06-30 22:56:52.635035+00:00         None  33952   \n",
+       "390  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  41832   \n",
+       "391  ...  2020-02-11 2022-06-30 22:56:52.635035+00:00         None  41907   \n",
        "\n",
        "                                      doi date_accessed  instrument   type  \\\n",
        "0    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
@@ -526,11 +525,11 @@
        "3    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
        "4    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
        "..                                    ...           ...         ...    ...   \n",
-       "106  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "107  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "108  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "109  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "110  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "387  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "388  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "389  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "390  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "391  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
        "\n",
        "    units observers  \n",
        "0      cm      None  \n",
@@ -539,16 +538,16 @@
        "3      cm      None  \n",
        "4      cm      None  \n",
        "..    ...       ...  \n",
-       "106    cm      None  \n",
-       "107    cm      None  \n",
-       "108    cm      None  \n",
-       "109    cm      None  \n",
-       "110    cm      None  \n",
+       "387    cm      None  \n",
+       "388    cm      None  \n",
+       "389    cm      None  \n",
+       "390    cm      None  \n",
+       "391    cm      None  \n",
        "\n",
-       "[111 rows x 23 columns]"
+       "[392 rows x 23 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -558,7 +557,7 @@
     "from snowexsql.api import PointMeasurements \n",
     "\n",
     "# Filter the results to within 100m within the point from our pit\n",
-    "df = PointMeasurements.from_area(pt=site.geometry[0], buffer=100)\n",
+    "df = PointMeasurements.from_area(pt=site.geometry[0], type=data_type, buffer=200)\n",
     "df"
    ]
   },
@@ -571,7 +570,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 19,
    "metadata": {
     "tags": [
      "nbsphinx-gallery",
@@ -582,16 +581,16 @@
     {
      "data": {
       "text/plain": [
-       "Text(38.097222222222214, 0.5, 'Northing [m]')"
+       "Text(128.66274298237227, 0.5, 'Northing [m]')"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -603,7 +602,7 @@
    "source": [
     "# Get the Matplotlib Axes object from the dataframe object, color the points by snow depth value\n",
     "ax = df.plot(column='value', legend=True, cmap='PuBu')\n",
-    "\n",
+    "site.plot(ax=ax, marker='^', color='m')\n",
     "# Use non-scientific notation for x and y ticks\n",
     "ax.ticklabel_format(style='plain', useOffset=False)\n",
     "\n",
@@ -618,14 +617,18 @@
    "metadata": {},
    "source": [
     "**Try This:**\n",
-    "Go back and add a filter to reduce to just one spiral. Do you know what instrument was used to make depth spirals?\n",
+    "A. Go back and add a filter to reduce to just one spiral. What would you change to reduce this?\n",
+    "B. Try to filtering to add more spirals. What happens?\n",
     "\n",
     "\n",
     "## Recap \n",
-    "You just plotted snow depths and reduce the scope of the data by compounding filters on it\n",
+    "You just plotted snow depths and reduce the scope of the data by using `from_area` on it\n",
     "\n",
     "**You should know:**\n",
     "\n",
+    "* Manual depths are neat.\n",
+    "* filter using from area is pretty slick.\n",
+    "* We can use LayerMeasurements to get site details easily. \n",
     "\n",
     "\n",
     "If you don't feel comfortable with these, you are probably not alone, let's discuss it!\n"
diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
index cb83fce..a26f870 100644
--- a/book/tutorials/snowex_database/5_plot_raster_example.ipynb
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -4,44 +4,79 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Forming Queries with Rasters"
+    "# Forming Queries with Rasters\n",
+    "Querying the database with rasters is essentially the same as with the other two tables. A primary difference however is they are returned as a [rasterio dataset](https://rasterio.readthedocs.io/en/stable/api/rasterio.io.html#rasterio.io.DatasetReader) instead of a dataframe.\n",
+    "   \n",
+    "## Grab a whole raster. \n",
+    "Grabbing whole rasters can be done (albeit with caution) using the `from_filter` function. \n",
+    "\n",
+    "**Note**: snowexsql will throw an error if you try to pull more than one dataset at a time. This is because this function is merging tiles together based on the query and if the dataset grids dont match the database throws a cryptic error. So we took the liberty ahead of time. \n",
+    "\n",
+    "**Try this** : To see the error in action, remove the date from the query and run it. \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "(50.000101089121436, 50.000101089121436)"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# import in the raster measurments class\n",
+    "from snowexsql.api import RasterMeasurements\n",
+    "from datetime import datetime \n",
+    "\n",
+    "# Pick a date\n",
+    "dt = datetime(2020, 2, 13)\n",
+    "\n",
+    "# Query db filtering to swe on a certain date surveyed by ASO\n",
+    "ds = RasterMeasurements.from_filter(observers='ASO Inc.', date=dt, type='swe')\n",
+    "\n",
+    "# Plot it up!\n",
+    "show(ds[0], vmin=0.1, vmax=0.4, cmap='winter')\n",
+    "\n",
+    "# Note the resolution!\n",
+    "ds[0].res"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Let's get part of raster dataset centered on a point"
+    "\n",
+    "### Let's get part of raster dataset centered on a point\n",
+    "\n",
+    "More reasonably, we often want chucks of rasters given an point or area of interest. Below is an example of how to do this off of a point. "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "   depth site_id            pit_id  bottom_depth comments sample_a sample_b  \\\n",
-      "0   67.0     1N3  COGM1N3_20200211          64.0     None     None     None   \n",
-      "\n",
-      "  sample_c   value flags  ...        date                     time_created  \\\n",
-      "0     None  < 1 mm  None  ...  2020-02-11 2024-08-13 17:45:41.685272+00:00   \n",
-      "\n",
-      "   time_updated       id                                   doi  date_accessed  \\\n",
-      "0          None  2147814  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
-      "\n",
-      "  instrument        type units observers  \n",
-      "0       None  grain_size  None      None  \n",
-      "\n",
-      "[1 rows x 29 columns]\n",
-      "[datetime.date(2020, 2, 2), datetime.date(2020, 2, 13)]\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -49,50 +84,169 @@
      "metadata": {},
      "output_type": "display_data"
     },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(3.000000000007304, 3.000000000007304)\n",
+      "[datetime.date(2020, 2, 2), datetime.date(2020, 2, 13)]\n"
+     ]
+    },
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>depth</th>\n",
+       "      <th>site_id</th>\n",
+       "      <th>pit_id</th>\n",
+       "      <th>bottom_depth</th>\n",
+       "      <th>comments</th>\n",
+       "      <th>sample_a</th>\n",
+       "      <th>sample_b</th>\n",
+       "      <th>sample_c</th>\n",
+       "      <th>value</th>\n",
+       "      <th>flags</th>\n",
+       "      <th>...</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>observers</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>67.0</td>\n",
+       "      <td>1N3</td>\n",
+       "      <td>COGM1N3_20200211</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-11.8</td>\n",
+       "      <td>None</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-02-11</td>\n",
+       "      <td>2024-08-15 16:29:34.025587+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2230897</td>\n",
+       "      <td>https://doi.org/10.5067/DUD2VZEVBJ7S</td>\n",
+       "      <td>2022-06-30</td>\n",
+       "      <td>None</td>\n",
+       "      <td>temperature</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1 rows × 29 columns</p>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Axes: >"
+       "   depth site_id            pit_id bottom_depth comments sample_a sample_b  \\\n",
+       "0   67.0     1N3  COGM1N3_20200211         None     None     None     None   \n",
+       "\n",
+       "  sample_c  value flags  ...        date                     time_created  \\\n",
+       "0     None  -11.8  None  ...  2020-02-11 2024-08-15 16:29:34.025587+00:00   \n",
+       "\n",
+       "   time_updated       id                                   doi  date_accessed  \\\n",
+       "0          None  2230897  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
+       "\n",
+       "  instrument         type units observers  \n",
+       "0       None  temperature  None      None  \n",
+       "\n",
+       "[1 rows x 29 columns]"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "# Import in the Raster and Layer measurement classes\n",
     "from snowexsql.api import RasterMeasurements, LayerMeasurements\n",
     "from datetime import date\n",
     "from rasterio.plot import show\n",
-    "from rasterio.plot import show\n",
-    "\n",
     "\n",
     "# Pick a site ID\n",
     "site_id = '1N3'\n",
     "df_site = LayerMeasurements.from_filter(site_id=site_id, limit=1)\n",
-    "print(df_site)\n",
     "\n",
-    "# Pick a date \n",
+    "# Grab available dates\n",
     "dates = RasterMeasurements.from_unique_entries([\"date\"], observers='ASO Inc.', type='depth')\n",
-    "print(dates)\n",
     "\n",
     "# Subset a raster on our buffered point!\n",
-    "ds = RasterMeasurements.from_area(pt=df_site.geometry[0], buffer=200, observers='ASO Inc.', type='depth', date=dates[0])\n",
-    "show(ds, vmin=0, vmax=0.8, cmap='winter')"
+    "ds = RasterMeasurements.from_area(pt=df_site.geometry[0], buffer=100, observers='ASO Inc.', type='depth', date=dates[0])\n",
+    "\n",
+    "# Plot it up!\n",
+    "show(ds, vmin=0, vmax=1, cmap='winter')\n",
+    "\n",
+    "# Note the resolution\n",
+    "print(ds.res)\n",
+    "\n",
+    "# Show the site df and available dates. \n",
+    "print(dates)\n",
+    "\n",
+    "# Show off the location dataframe\n",
+    "df_site"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "<open DatasetReader name='/vsimem/a5c827f3-b18d-4ed8-9776-21fb75877c64/a5c827f3-b18d-4ed8-9776-21fb75877c64.tif' mode='r'>\n"
+      "Lidar snow depth = 0.74m\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "# Demo a useful function from rasterio! \n",
+    "\n",
+    "# grab the xy as a tuple e.g. (x,y)\n",
+    "xy = (df_site.geometry[0].x,  df_site.geometry[0].y)\n",
+    "\n",
+    "# Use the rasterio sample function and the grab the sample\n",
+    "sd = [s[0] for s in ds.sample([xy])][0]\n",
+    "\n",
+    "# Print it out nice and neat!\n",
+    "print(f\"Lidar snow depth = {sd:0.2f}m\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
       "image/png": 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dvkjjtu1LwOEqszLtAklKIbXuoXaBRCb1SV7UBG4Y8HcLssjUp7A2DlgCmu7QlM7BwcHBweEswUmRlL179+Kd73wnPv/5z6NUKp3Ugb70pS+h3W7jq1/9Kt797nfjOc95Dt7whjc8abtbbrkFf/EXf4E777zzmMf4+Mc/jte+9rXYtGnTcY9544034jd+4zdWfm61Wti6detJrfuYWCwxA9IPmI+KAyMLtSEzIx0hEPsafP1wje/TDp/6gESjEjMT87wZ7nsQmPdKIaVeRU3f1rdJclLfuooaA7Ht99kVVBtK6zL4fScC4jq8Q38EjPeRb3/XqbkGDg4ODg4OzyBOSpPy2c9+Fv/kn/wTBEGw8lqapvA8D77vYzAYrPrdsXDzzTfjU5/6FB566KFVr9966624+eab8YUvfAHXXnvtmu/dvXs3LrjgAvzVX/0VfvInf/JElw7g1GlSFN7dH7dsSe6xhXisbxqRXkjy0ikwkzLVJfnwxcQtB0tCY30SjX0Nimc3LjMLoqWk5QKJTUU7hFJ2/hQTim4nesCc/DwISXj0dzlYXpro8T05gOYA+YW/9gOfv4ODg4ODw8niZGLxSWVSXvWqV+G+++5b9doNN9yASy65BL/1W791QgQFAPI8x2AwWPXa+9//ftx888343Oc+d0yCAgCf+MQnsG7dOrzuda87maU/M+iLSBWwzhzVjexpUmOi9vYqmG0MzOhtEHKQYKtoDrO+aE5UCLtYWj11WTuDJnoyDygloakNSWp2LrJstLPLnzPxY+mIcHeiR3v9h/8QSHzkz3uWW7gdHBwcHBxOECdFUur1Oi6//PJVr1WrVUxOTq68fuONN2L//v244447AAAf+tCHsG3bNlxyySUA6Jty66234h3veMfKPm655Rb89m//Nj796U9jx44dOHToEACgVquhVqutbJdlGT7xiU/gTW96E8Lw9Jvl5q98E7x/+CQzFx5IBnKZhhyKC20vIgmZ7JF8HKmyTJR7ZqnfADMmPbHSbxf4urYX72+Q3IgfCnoR25JHSU9tyKzNTIWZllYRuHiOJaZ2ARiKpuVIlULbcgI8MQbv7z8JjPVdy7KDg4ODwxmHUx7pDx48iD179qz8nGUZbrzxRuzatQthGOLCCy/E7/3e7+Gtb7Wg+OEPfxjD4RCvf/3rV+3rd37nd3DTTTet/PyFL3wBe/bswS/90i+d6mU/fUTSsdOJgCKY2ehG/F1tCMyHLLfsrwPrOvx+pkJSE4t+pTZkKehAna9pW3JjwOyKtipHKbMpY30SFRXuAkaSOgUSm0EIfH/KhhUWpb25mAALJa5jfZtrbRfgffuPnL2+g4ODg8MZhaflk3K24lRrUgDQjr6UkDx0I7O1zzxmO+LAMh6Jz7LN+g637UY2XLAXkmAUE+4j9fl9NebvtMU5Dkg6qkNmYnSIYSFlq3PskzQtlmgyl3skONWhebOM9YFHJ0TcW6CAN/O47yADUh/5VY6wODg4ODicejzjPikOhvy5b2eGo5xY2aU25PcHGiQBmYhquxHLPnOSKck8m/kTC9EY6/O1SmxeKR4oeu2H/F0vpA5lrsJFqLV+6pHMVGIKcqOUephmn9up4RzANS6V2EnUKnL9Xr6ii/Ee/4+n5Xo6ODg4ODgoHEk5FUgk63HBAks6UcbXy7FlNpoDKwsNA36txJY5qQ35nsxj9kQnKM9WSCSUBPk5ic5YnyJY9U2JMnOjHQQkLD74exXlFkSr0inwWOvbJDj9UFqYcxMDtwvwvvNH8B50gwsdHBwcHE4PXLnnFME7fCvLO4UUWCibadtiyTxTADNo8+Sy6wDCVPQlWs7xcrPJ1wzLIGQWRucAre9whlAm05PH+yQovchs9KOUpEQnL9eG/H0sc4N6EUs83YguuYerXA+wUvrR7Ev+grec0mvm4ODg4HD+wZV7Tgd2N4G9TX4/3gO2tIAL5/l1EJBEBLnY4He4XerzdS3phBlQEg2KByMo7QKnH7cLJDKNAX9/UDqf/JzHWSqSAOUQR1uf7wGoRdFj1kf0MXpsgKSkGvM1PyfpCTKSm+UCvK9+DN7XPvasXE4HBwcHBwdHUk4R8hf9MknD96bpkTJXYYZjocQsRVHIxuLIz0HGMk4cWGYl9UkUFkvMmHQjEcz6/HmxxJJNL+Tr7YKJZ6tDc7EtJdyftjHHgelgFkv288oJeGxXzjwjR35uzrVl2V/qwXvsPz17F9bBwcHB4bzF6TcbOZfQLpi+pJQwsxHk1IuoSDbI2IVTFbM2LeUslEgIytIiPAj4s5KX3AMG4OuDUBxopf1YW5obfSvPzJfZ1jwQMtOTrqMcPN5ygWQmVuGukJEg4/cFKSHlHtea+Pw+SoGDNXizHwMyD/lL/sVpuNAODg4ODucDXCblVCLISQT6IbMRiyVqSFS4OiqOXSxxGxWr5tKZM5TBhKWE26dyi1Rku65DkqGDDYdCZlKPWhglI3U5Vpix/ATwGMtFbldJSFhin4SllDALE2YkPDlkeGFuRCfMSGqaA3YPeTm8r9/OAYYODg4ODg6nGI6knELkr/7nUsbJLeMB8PtiQkKSiWbEg2QnQCJQH0h7coWv6zyfSkwSs1wgqanEbCtWIjLZM/FtlPGYhZT7nC+TaDQH3DbMuF8V5ebSLTTVtZNYKNsE50iGH5ZjvjeV1zJqVFYyQcUE3jf/GN73PnQarrqDg4ODw7kKR1JONboRA3ljwNJJbchySSY2+Klv5ECzKJ2CZS2G0p2T+CzjAMxy6Hu0hXisT3KhxCfMTBw7WzEhrs7/CTL+XExIZjRDE2Y2bRng/nRgorY1q65loifEqMuvSo5GtC7eP3zyWb/kDg4ODg7nJhxJOcXIX/EmM0zTwJ/6JA1qpubnlqVIfSuxzFasg+dI1dxqw4zZjEpM4qDk5nDVhgjGPsmLZkkG0sqsJnLDwMpQOSwjo+3PQxHSlmMSkuqQr2feiP9KSOIUB9xua4ukR0W6opHx/ven4H3rj5/tS+/g4ODgcI7BCWefCRTTEbIQmsYj80gKPHGIrQ+ZnVgskYj0Q763KX4nmqUAjNj0Q34NcmZTAJKDdoHb1If0ZAnFUE4JhgeWlAAT3i6WOOww9fhap8DMTzExbU0hsTUkklXJwTlD9SH3P9Hj+/WYgxA4UoX3xU8AwwD59W98dq67g4ODg8M5BZdJeSYQ+9SBKEE5UmXA39oiOViS9mJ1ni0mFLeWYysN1WXGzpaWaVNGW4aXCyQmatwGkIzMVvjaQLI2xcR0JMPAjOZmpZS0v25Tm7XcpK3POkNoEFiZCjDPFxXl7mvwOIAQpQGwucVzGO87rYqDg4ODw9OCIynPAPJr30IS0I3YhlxIrQNnssdsxVhfbPMDdux0I3beNAf8nQpchz6DfTXm78qx2eMXUzOKU9+TgZAMT7IwxdT0J6pNUYv8vkxobhdIhOoytFDJyDDgfuOAr+vsIMDM4A7VbDhh6nGNhdTKUgXONfIe+UNnBOfg4ODgcFJw5Z5nCo2BZSti3wSsqc/Mhi9ZC53JE4rvySBgliSUAD8MgEWxsd+0zPetEBFYiSX1gFyOUx0CJTnesuhUGgNbRyREJRLflFQ8UVpFblcQoa4OSqzEtnaAmSAvZ3kozEh8CimFvOqWWx2SeOn8Ihma6H3l44CfI3/xm0/DTXFwcHBwOJvgMinPEPKL3sHgP+rculQy4awOEpzqUucxCLm9B6Ar3T69iMRhEJAwaGtyJaZlfTEhyYky/qyma6m/mpw0BiQjhdTakCE/q6h2qcjXOhGPv1gyA7d2wbQomrlZKslgw9QIlg4nLCaru5w8SOlLzj3I4H33I05c6+Dg4OBwXLhMyjOJTsGmICs5GQYM3vUh9Rx9GUIYi7g19i07kvjcZiDlnDwhifDA7MWEeKTsbZJANAd2bLXdn6naAMLCiMNslMlaRFeSSmmonPD3VVgnkE55LknWp5ACkXQd1YbcZ5hxW8AM5gDuC+AxuhG/BnItwgzevj9AvuU3no274eDg4OBwlsGRlGcQ+T/6BXj33G6ZhUxKKIdqJASakVC9SmVEb1JIAE9KOrlHMapOUk791R08OxeZ7TgsAt1SAnSktDPdIVFYKhpBSnwjLR6szXlP08hT7gHVLtCWY/bleOWE71d9jJaA1JFW3XOLCc8R4HrCjMLhHCRGvXDFddfb9wfsArrgnc/ezXFwcHBwOOPhSMozDRWweuC/ckIyMi8W9mXJUGhpRUsixZTW9doevCR6kWEA9MWzZCngdg9N8ncTPRKg1DdfFM181IckK6n4qYTiFjve47bF1Jxn+yH3V0xtIGKUmsZEfVp0grPqahLxVEk9a4mOMh43EGISSfZlIBmdIKfLbqsIb98ngEpM4bGDg4ODw3kPR1KeacxVrEwSpSQnEz2SBZ1uHOTmCBtHDPSzFRtUOJDOHdWBaCfyZM8caiPRmlRj6lFUXKvZm9i37Ia2G2vXUZhxxtBASMcw4DqjzMS7munxc6AYm9GbZnOCDOgVzA8m94B+AORSdlK/lg1tG4wYZSQzAH8XZEBzAG/uFmC8h9z/nWf7bjk4ODg4nEFwwtlnGPk/+gVmHBKf5MST7IK6tKogNZS5O72IJEN9TdpigR9m1gZcSIH1bb6utvWdCHhswsopDRkCWI5X2oBXSMd4T1qcYWRJ247Vc8XPua9hQEGulnmCzEpN6zr2eqdgVvoV8XsZ6/NYtSH31S4A+xvMzgB0vG32uaZ1HZ5Hs8/X/Rwebno2b5WDg4ODwxkGl0l5NhClNv9mrA88Ps7XW0VmPnLwd+vbQFZnFiQW8Wk5IQFIhEyMusvqxGPVlADMtmh5J8zovaIOuKp5KSckQqkMOxyG5m6betxvmJsZnJ+TdHg5W5vDnOutxCQmg4A/96WDB5AuHnHFjaU7qStTn9X6X0nYQonr3bkIZKsvnRKV3BEWBwcHh/MOjqQ8C8hf+SZ4D91GEnCgbt02cxUAXf7cjZhlKIklvSdZj07BtBypzOiZ6JFoLBWlrBIy2BdTc37VDAlAMlRKgFTm9Oxuct+NAUmDB5KLQQDMVa1rR1GO+XPqW3YEoHttKF1GatevrcaDEBj4QFzj2rVNWTt7osymNldja2UOjmIpAkdWHBwcHM4/OJLybKGQ0oJ+GJAMzFatxFOOSSgyDwhGtCphZkRDBwaGGXCwToIx1WVHj1rUlxLr3lkuMINRHYrrrBChxsD2CTDTEqU2CVkzITrBuR9KC7RY9ytBaYuXipZ2dL9HqtznQsmM4HSqci80Z1s9TuaZn8sxCMooHFlxcHBwOH/gSMqzhHznO+Ht/xMG5bmKWdPHPtDIbGKyWtAD5j1STE0E2ylYyUS1Ic0+UPdMBFtKSBSUaDQGkrUIbFDhXIX/VLCr4tyNbcvGqAlcpyDGbRlwuGbHVq2JzhTycupgxvv8XUfM6LSt2pdOHg8kL1pKmuiRuJwEPNzkiIqDg4PDOQ5HUp5NZJ7pSlIhJdqKWxMNSZRauaQv04pTIR8eLAsSZEA9ZuaiNlzdiaMZlGFAgjFf5ntC6aZpDlhimQ/ZkaN2+NoeHPvmkltIzaF2tmIeK7qWpZINM9zQNv1Ns2+uuUM5x9jnmpt9vranyczMZO9pXU4PNwFLJeTNd/8gd8XBwcHB4QyFIynPIvIfuQHe393BH8rShlsfMICrl0g1NtM1NVrLhTzohGIACCR70ZBpy5rpUJ+SQm4dOlNdEootLSMcC2XgYM2yIEslYOOyuMmmJDOJL94oiZSpQmY/AhHk9oWcxD6zPbvGuP/akERMSz3qszJXIeHqh3xtscT1HwuPTNJ7ZfuStS0fjWbflYAcHBwczlE4kvJso5gABenKUZO36S5LI2rAloP/4oDbaTYlyNmeqwZtPWkXLsfMXhwW0qE/b26R/Fyw8OR1jPeAS2eB+9eRKIz3mGnpRCaq3bZE8jFbAR6dsA6j6lGakkXpzqkNue2RKsmWimy1lFWJgZkKSU0c8BzLxyAfALBliV/3jPEaPGf+uJfW+/5tyC95+4nfCwcHBweHMxqOpDzbUAKgLq+DgBmMKGNm40Cdr8eiEemFok3xzL22Lm6wvYi29/Uht6sNGfQ3tJn90OnDh2okDOrNoti5wO0fnCa5UH+V580wQ6KY7nD/cxXLsqi1fZiROA2kNFWVLqSxPr8uSku0EpXMI+GKfTN9OxbKMk7gubPAfeuPf11bReCJMXh7PgV4QP7qf/707o+Dg4ODwxkDL8/z/Kk3OzfQarXQbDaxtLSERqNx2tbhfeePTDOyXOT3AH+erZiOIxFtyErWJTcPlOqQZELLIEeqNERbC0tibT/VJZHw17jlsUxCbhVtNs/6tv1+GHCQ4dC3fSYjwxN1ynLmMeMT+8DmZdO1rOswS3NIhLdHqtyPnwOXzZCorQUlZ49OkHw9Mmnann4IXHGYwtu7t1qrdV/amufLyH/y50/6/jg4ODg4PHM4mVjsMimnA3sbwI/sNj3G3+9kcI1Fb+LlQG3AUpAODPRzkpPlAoWnVx9avc+xvnUAebAOneWidNWUrbNnYg2haiSze5ZKJAbDgFmdcfFk6Yc8rpKT2tD8XtT0Tb1c1Mp/QZxlMx04mFgWqVOw9mXV2awFLSt5AL673rbVNd67ieTFk+MMwhFCl8D79H9lZuUNP3Py98nBwcHB4bTC2eKfBuT/+P8GiilyaaPNX/kmZhdiyTpoJ48HEpOxPolCmFG/MkpQFsrUohypMlsyWwEemQAengT2iQX9csEM35aL3OZYuHCe5ZWNyyRNj07y9cbAXHBjf3XXkZ+bDwrAY8TS7lwVDxgPQCEz4tWJ6PEyVwYenOK/4yEVQlRMpZspNV+VtrjnetKanYqQd0MHeOEBwMvh/e4/PL2b5eDg4OBw2uBIymlCXvx3q18YhCyF9EJmOkpCStTttZQw67BVxKSLJQb2/XUb0jdfllk7MTMVcxVmbfY2rcumK/OBDtS5j3iNLEarSPIDMPDPCalRQW8pYdvwdIcESglDKeFaq0OSqyAnQQozthvPVmy2UJQB395AMrW+wwwNYMc9ej37GyQ77YLMLupw/4OA57VpmUQpzJj9aQyAaw4CF80BP38/0C7Ae+u98H71Gz/gnXNwcHBweLbgNClnELy/+QuWRDZJFmMYWLmjNqRJmmo3vitC0mLKcoefU1A7WwF2jZtOpFMw7xMlDY0BA/1Ej+RovMfttPU5DqS1OWCWRr1MhoGJcT2QmPRDvnd9mwShmHIdiyWSoX7I7cfFOr8+5O8mu8AXtwuhko6iF+8HvjdNnYna8u9rsANJtS1aXtq2xOzSIACeGLMhjLnMI+qHwIv2r7b3V7R5TVzLsoODg8OzD6dJOUuR/8QbAADefR/hC6kHZL5lKJSgKInQTqHa0NqPS4mVamYrzMR4YszWk6xJWyYWq2cJwMDeKtpQwIJ0HqnYNsiAQcFm+KhAdrrLYwY5yUhXRL9FmUFUiTlQsTHgscb7Nnvo0lngG5vYllyJ+dqWFjM36h3z4LStXzuavJzE5Hkz3H6/ZIt+8vs854emSIT+13Oo/Zno2QBGYIW4OH8VBwcHhzMbjqScgciv+FUAgLf4e2a+1pOMxBNjLI1sW6KQVduKCymJRlUmE8+VKb5dKPNn7egZCFHRAYVaigkz+qqoF0rqMevRD/meKOO+FsokCeqp0gul3Vj0KZHY9Kt1f+yz5LKvwfXPl1my6hTYsXP3Vu7DAzNIm5ZJcHoh8OVt3KdmSPQcKzJNeqJHMhJmPM6jEzzWH13LdVx7gCRrrW6mETiy4uDg4HBmwmlSzmDkYyN27+WEmpVCykxJfWA6llaRHiv7GhTNHqnKMEKZcKxzc8KMxKM0MguoG/FrlPJ9SyUG/EFos360dJT43K4+tHk8ao2/VKRgtl3gz37O7IgeY0ObpnLFRATBA+BSaaF+cIoi2v/1HJaA9HwvWLCsTjnmPgMhHP2Q652tcF9RRp1NOQFeupf7vGsr8LUtJ3y9PUdSHBwcHM4oOE3KGQ7vwO8zO9LsM+DPVNnaq260BZmVc6TK7EOQMwvS7ANdGQRYiW3AYCKakkpsmpG+TCcOMwZ8D8yWlKVlOPZJMh6cFrfbxLIzA3HIDTNmLXoRMxx9aQXuRMzQaInoWDb4t78AuG8d33v5EYpvU9GhLKggWAW5GdcfZvRf2d/gNXl8nL+74dtPNq4bRavI9TclS6Vt3iNwWRUHBweHZwYnE4tdJuVMRzW2csVSybIH/VA0K9L66+XUbJRjEoflIgO7n5OgDAMG5iA3C3sN9o2B+Zv4OV/3QJHtoRrJhw4/1JlCUWbut+ulyycW4e1cWXQqGY+n2Rx10l0LL3/Chg7evRX4xmaKg3sRyUkhJRlZLjDD8kP7eMyZKo+5aZmZlLu3Hbu8Mwitc8nPed3my8z07Bq363akCu/I++Ht+cCpv58ODg4ODicMp0k5A+DNvB/59L9e/Zo+yTdHXlwurPYGWSyxfKKTkUsJyUZtaGUa6LDC3DptcgBx0RxidXhhkDFQ67ygamxZEt1/PyTR6Ht0pc08Zmg0+5IEfD3IgAKAdWvMDVoL430Sjb1NruVgjcf72ma+/pJ93H8kHUT3ryNpCTIeb2sL+JkHgcrQLPiPhhrK6fXphyR8W5e438NVfp0rr3Qhea0PA/0Q+bVvObHzcHBwcHA4ZXDlnjMEJ6yHuH8dswtLfOJH5lnLsp+bdqMgGY/EJ9HgQUw4O6oZUfM4nYisWRMlP3qMxRKzOb2QpaDKkLk4JQW6fSjdQLUhMxfNAbM1Xv6UIlbsaQIfez5LS+oTs3MRuG4317h9EdixyPLQXJlE6uVPAFce5vsP1ViaWguJb4RLyVYn4mvDgMRPtTrang3w9W6E/CX/4kTukIODg4PDceBakM926LyatfC8GZIFLY0UZOBfIJb3SjRqQxsC2I2o7/CEmPQlW6I29gMdYgjzP8k8Ziw8EavOVUiMimKk1i5Q86LZiVTIkA4azMS2frpLMlGOuR//GFkOxbYl4OceAB5YB3xnPfDYOM/zf1zEbMl8mR1OHdHTtIrUokx1STrmy0ZScsny6HkslkiWDtWAjW2g63MbNZLrRvxZ27KVUOWga+3XbweGAfIf/qWnfWsdHBwcHE4cLpNyBsFLfpdk4UCdL2w6xtA9zWQcrDOwBhm1FIslmfsjDrWDkKLXSLIH2jqsnTmpdOtocB4GfF8kgtxywvd0I36vjrGTPRKT2Qrfp1qWoW+ak7E+iUQw8vGqxEaOxteYH7QWPvASuup2I/77uQeYEfnsJTxPXfe6DnDxHC39nzfD92ai2anERuyaMjuozAGEaBXtOhRTaauOzBwvyI3o6WBDKaXlP/Tmk77HDg4ODuc7XCblbMXj4wyiic9Sjhq1HY2ydKJM9GxaciROr1rG0O4b/Rel/NopGFkZiA6lHFumZarLYzb7FJi2xda+NuR2B8VOf32bx5+t8H3LBVtXq2jdR6mQFDVj63vAuqUTvya//pW1X3/lLuD/u5jtxsUEeO91JBHTXStlAXwt9blWP6fpXXXIacrjPWpPyjFJnvrMJL4NaoxklpLqeVIfAOcVeV/5OJB6LrPi4ODg8AzBZVLOIHh/dwef2mtDYPMyBZ2Ha2zhjX1rGV7fIbmYFxJRTPl7ncUzCLiPorjG5p5lVMKU/imFlESjLx0txYQEKfVIRKZlnk4Osa3PGOhrQ+ChSe5TNS0A15361uY82eXribjQqk6m2ed7iwkzMGtNZP5BkHkkTus6vHb9kEQDIOnTUtqepg1ALCYkb5GUzhLfxhJUYss2eeD1AWSEgLV15z/6i6f2PBwcHBzOUbgW5LMU+aveyGxE5lF3sVhiwOxGwGLZyhdzZQbRiZ516GQedRbNvrUEq65F/VTK4peSg8F3ucjAq+6tkdjYr2+LJiURPQcYjJUUbVrmz+2C+aH4uelQwozkpCelKBX0TopuJMhICtT47VTCl5ZnYPX1GYTmCbOnaSLevpCrvowRUOGszghKPVnzyPnFAbNFanaXefDu/FN4//DJU3suDg4ODuc5HEk506DmbNUhA7gGRu0+0W4c7VJRwWyUkdQEuQlYtfQTiymaikKbAxKfpSLLNIm/WjBaG5K4rOtwHWN9kqdUshRBDmxfMjdZnXSs7b2V2AS3ic/9aLty4lnw70YkPjPVU0tWpjv8elAyKbnHNWpJq5Dy+2JqmaKFspGPXmTTlROf2adyvPreaBtzlBkRSklWHBwcHBxODRxJOcOQX3cDA341JrlQoWsp4fe9SDIgkgVo9vlaLN01vdDIg2pRVPAZZCYOLYi9favI1/c0reV2FBqY1eAtSs2v5bIjnFhcShjga0OWVCoxjzMms4WWivwHmAlcTfxMekKmEp9r+UHRk3MYCDnRCdCVmDqfUmIt00pItJVbS1U6MVo7nADLsChU66MuuoV0xSDO+x9/Du9zf/aDn4uDg4PDeQ4nnD0TkfpAnloLrIpXe9LhEvvsABrKlOJUXGeH0v47lA4b9S1Rl9g44LZhZhb6Xm4tvIeqNqxvxX1W7PF1sOAgBCAajsUSSz8XLDAjot1Bqc/MQykhEdBWZxX5+rnpUgopiUQoHUrqTKs6krXQD7nPo31X4gBoF1kaCzKSpOqQ5KMXrRYh+znQFSKjrdra5RNm1AS1I+6zK2LjXMpq+jXzbI6RCm3DnJkXL4f31Y8BvQj5K950Cj8cDg4ODucPHEk5ExFJOWKsQ3+Sya5lKwB7ip/qkiyo3fxyABRhAT7KWF4Jxeq+nJCAaAZAhxCmIsL1c5KfHYsslTSkBTcQc7eh+KLkHpDJOlpFK30ouqENKSzHzApFqbX7diISr9HsUFlEuAtlc82d6q59fdT5tpSYBmYQAC1pwd64zOyIdjFtaXHNj49b+Uevp2ZPRtuQS6ILKqX2upbNdBqzHluvp58DmVyDSRkjsK8B5FICKqTIX+rM4BwcHBxOBq7ccwYiv/YtDLBxwDbZWPQo6hY7CKnhaEvZJfWsROHlNsxPLeOrohPR4YGZZyWPsT63nxPRaCeiMFddWGOfRCjMLLuibrRhxqAdZhTtlhPqS5aLfM9yYWUWzsrrBTGDm+xxHUoUWkXbN0DiMl/m99oSPApdfy4ZDB2mWEh5nHUdK9UAvC5bxAwukU4nPzehcjGx4YyJz7UD1sqcyPUtidNudWilK4CESq91P+T11DbwdgGoDeF9849pCOfg4ODgcEJwmZQzFakEymrMzpMwZ+BWZ1gtYdQHlhXJYWLOcmyEJMzMwwQQ23pxf419BtbqkMF0QkhRKQFmKgzStaGYsiWWdajIXJ8gYwmqPmQGozZkZ5IGeyVQ2gI9FP+U6Q63T3yKcRdLllHR1uZuxPesOOSmVnbRTMZMhWSkNuA1UQ8XgOtT8XAk2Q/NoASZZYVUVDw6MqAoQmEtP+WezU3yQBLWFVKk10iFzrMVnkuU2kiAqS5bosNsZQSCm7Ts4ODgcHy4TMoZivyFv8xvtIySsnsES1IySX1zQo0DZiY0AA8D81TRLh9tnQ0zEoqFkmUBtIxRjW1ujRKbqmQSIjV00+nGmRibgV/bBa6nPmB2JsitfVkdbzuRtS4fqXJAYOqTVFRj/m4YsOSjLcCHq0Y+DtZJBNR9Vtc83eHxJnrMoPQja+GerfBfKSFJUKM3PUct16jLbpTZzKOOdD5pN4+W23LwtZKUzwIpWc1UmBHycq5ja4vnFvvM4AQZ8PyDK/f4hOc1OTg4OJyncCTlTEYpob4j9UkOdizyybwXmq6klJAYrLTIxhRuRtJemwiBmCuTJAAM3plHojIIgVpsbbTa0hxmzAAocVAxbiRdO5pt8MDjRGKj/8gk36NrGvpWwhk1fysllulIxNZ+XceGE1bjkYxPzuOPrqUb2RRoyH48GAlJRRNTlSzHTJWEYbZipm1L4kOjWRktD+Xg/ouJEb1yzGvbkzlI1dhKQYfqZpt/uMbto9SM8gCSlDU0No6oODg4OBwbjqScwcif82vS6ePxCb1dYBDe2qI4szFgIF8smT9JJBmOpZIF9F7EQFxMTW+Rw3xMUiE7m5bNCbY+oB6mOeBiVHhbH5qodV2H21Ti1boRLavkHt+vJZHR0ojqW7R1uhxz/2N9OuwWJMirmVpjAOxcsGyPtjprNqcx4P5UjNsUIjVbYaZlusP9NAeW9dDBiAUhZalnZKsq5bKJnl2ryR5dgP2cpKTZt2uhAtyhZLWmRTyrHVbj0o49V7HZTMMAeGxi5X57t/2PZ+FT5eDg4HD2wGlSznQE4t4KSLtue/Wgu/0NZlYO1hmAOwUrrwSSiVgqsoSSC4nY0DZzuNgHstBEo5lHgqNBvtnnv2NBMxfqd6JZFs2CqE9LYyDZHdHIeGDGQb1RPLCEohObo5SkSa32K/GTtTVKHhbKJEuJB4QeS0k6RHCxZP4oB+s8xqKUjCpiia8C3pIMVNSW7amueLlEzDpp1qUS85jFhNdqoifkr2j7WxJSOd6zkt2Buk2LnqvwuqYevP/9KWBvAxhL4X3gc8h//R+dso+Pg4ODw9kMR1LOdKj4tS4ZDdWWaDAMUyApMAC+4ADQlKzJctEyEX7OwNyR3wEMqoWUZYhQxK9allGDt7WGG66F1Oc6AykRqc9KDSY2HUUsxmie2OU3BnIevolatTRUTKykowJhXb8va9VOn0XxaqnLDCJdk5qylWOWY2pD8ztRU7xiYr4rRSkHaXdRIeV+jlSBbUs834YQwnHRwcyVgQvnSWgAXn91vs09G/C4FFnWZanI8yzHJEQ+fWi8j/934MX7kF/+L0/s+js4ODico3Ak5QxHfsnb4d33ESlriI9HKM6xGlDjwESdG9oMrp2IT/kFyQqUpSST+MD+ughbE2Yzetq5IgFWSzdjfSvPKBHQ8op29QDWyaLv9XB8guOJnqbZZ5aokBoRifos0bSKlpUppFbqUvO0xCe5mC+zvHKoZm3M/ZDZjeWiCHJlXs9AyJ22aw9HyJIa3VWkm0rde9WDpTbkvnqihVFi40umSscFeDnX1BjYgEftYvLAtc5WzCvGg5TfPBsuKefs4SZgpop8+l+fmg+Tg4ODw1kGR1LOBkx1STJqQ2uV1e81G3GwzuA31WWw1jbYILPyig4cBCzDApiTbCVmwNRMTLvA8koxMUO2QipiW+kQqsbAkQqnJNcHNuBPHW1Hhw5q9qI+sNlDSFafq5czA6HD/lQvMtbnPpeEvKi4NcipLwkzKydlHo3ULlggOYkynpeWlPqhtRsDZmk/ev7VmOffGFg5aLJrhKw6NCO72YrpcTSzM9mVDiR5zQOzMLF0Zal5ns4u0kxP4rMz6dIZ4NEJYKoL7/u3AVGG/MJfO/WfLQcHB4czGE44exYg3/ivSBY0EGuWQklHbWhtuDrBV/05PJgoVDMHKvBcLNmwwmLC4KlakaEYrM2VGUgXSyQlM1WWPdSWX8suQ986bBKfpZd2wTxQOgUzmYsDy8gcC1Ndik2HI2SiVWJ2aEnWvWnZiFEs5xSlJBjFFPj+FEsxy6LTUeO7zOPP6tuiowZ6oXU5tQskGkMR7eYgeVHDOC0hVSS7knk8p52LPKZqcFKfWR6dDVRI+bsLFngOOj/oUI3vu2ABeOEBI079UDxkQnjJ757qj5aDg4PDGQ2XSTlboOUFhQ7CK49oTBbKfMLXUkUOy2Bo2UTdZn3p7FEDuDhYbVimGg0PJD/9kJb7agGfg6UX9QRZLPH15QJJzniP4tCqlGe07bnZZ2DWoYXa9TNqq6/Q4+8e4/507YslnjtA8lOWbqLlAs9jSco+zQGFxfWhERgV6gbilqu2/2WZIzQUkW5bHGe7kU1wXi6SIA1CnlfqW7eUTkPWEQLquKvbaLZHW8XV+l+zKnNl4J37eMyHpqxbqSd+MF0SGa9zG1CJkW/99VP32XJwcHA4Q+EyKWcJ8ua7GSCXiwx63QjYM8bMxkCmCCceyz5jAwa2UWITihA2krbYohAWbbX1ctNkVETH4UHm1gghSn0rd2gnTKdg5SftKhoEFKgWxSZfzdc8aQleKHE2UF+6kg6LniT3VhvV5aKLScTzpBvx/f2QmYdOgRmkihjBbRCn2dS3+TvbFy17olkZdawtxzbfRzNQ6nWipZjFEmf+bGxz3TlIPmpD7vegtBNr2U0dbmOf5KgSm3ZoucB1L5R5vtWYVv39kG3lAI9XHdr1B2wEgWphBgG8fX8Ab98fPNMfOwcHB4fTCpdJOZuwu8lgOV+W1mHwqwbG6S5/Vx0yuHtFBkdtkR2EphXR0gMg2ZeCmaHpV3VUrcQM8Grg1pTyR6dgWRo1jSslVqbRbEk/ZGagKpoPP+f36v0SpVxXq2ji03bB5uusb3MfAPeZeDYocLJr4wO0Gyjxmd1RDUy7YPod9YrR9uxKbBqcsviudCMT4U6J38nj4zzOXAW47MhIl1Bsup1uZCWw6S6PqzOTlNi1C8z0aBv0RfPAb93F9+hcIW0v124jbWMuyfTpvhEY74kPArmHfOc7n/WPo4ODg8MzDUdSzibsr5tdfJAzQOuAQE9KAy0hJsUECCMLhkou1IisHNsUYy2jaGeJajyCbLVAFVit/+iLo6tqXXS+jgbZhbIRja603talS8bLgUHFtByj7qxaTtJpx3NlkrMc3H8E7qcfWifPMDBBbyWmSdqF89TK1IeWCUq0rTk18zv1M9GsUC+0+UfqJTNqRrdQZgbnQJ26mMXEMlRq4KbC5OqQNv2dgolq5yokJBM94KI5nvMgNBKjup3MsxlGes/VBXc44qibA979H3Ytyw4ODuccXLnnLEL+2l9gMFY7d9V6zJctoKnYMshteJ4O+4t9s59XHYq6w0YiKlWhZjmxYwS5TFDOrUyUe9ZppKWaxGd5R8smgGlSABuauFBi9w1g7cjdiKRLNTGNgXUFNQcmYFUSsCiOuurGq2SokBqZAHitNMA3BiQs5cSIlfrNdESDUk7YJry5xRKMl5uhW+LT9fbiObPrXxZ9TavIdU7KgMZexGv12ATw8CTw7Q0s9Whn0UIJuG8dj7lc5DZ7mtZqrbqihfLqLict4+nYAH1tGMB76DZ4u/7js/JZdHBwcHg24DIpZxv6oQX7HGZJX0gtoAJipjZkQOyL30c/BOZLDOj6e82QDAK+nnncrwczf9O5NH7OTITnk3z4UjbS2TediPssio5F9TATPXYE9UPzN2lI99FykcfbtGxmbpGIY7ct8XxmqtxfQbpyFsSfpRNx32XRx2gnTSVmZgSQSccABkUhNTBtirZYX3YEeGQCGIYmZm0XVhvFDYR4HarxfBdL5rTbHEgmSIS7fs4sy4G6ebKs63D2UkfIy8v2ArvGjAiGqZEugCTHy3l+++uWndG5SHFgQmh9n5j3efd/GFgsIf/hX3rmPocODg4OzwJcJuUsQ379G801VoNTmNlAvTBj4Ew96imaA8uKDAMGYg/2ZK4ZBdW2FGWSsrqiduTJPvUZwMdlto52qmgGR71Y1Lk285gFOFKlBiOR96/vWNnJz81x1s9ZBtEBhsWE2Ra1ot+8zN8drDHQq/ZjX4OdM0qCprpWOgGkAwniqivkQ2caJT739cgEz7kTca3F1DI5RWkjDjLutzkQz5Wc12KiZ27AvYhTm3X44X3rzEQuB/cdZsDVh4CrDgE/9X27X2rSNxDH3WJibcx1IYQ622hMslqqGfJyy0ipPinK4H3+U8/+B9TBwcHhFMJlUs5GaLtuJSYZaQwtyEYZkGTMPjQGDMyqnxiEwHJg+oxistrtdShdOZNdm5ic+DZRWYPpTNU0LB4Y+NsyC6cj+otiCiQxu3G0S6UvJEFbjj3wXxwYmQgy06Z0CsDepmlcZipWfmqNCF11v5WYAtcLFuxaaXZJbfIxspbYt0GGSgbaBRP7ageTtjOrRmehzGPFvk02vvqQGbPtazDTtLFNQjfRE5+ZMrMpiyUjYoslm6ys6xjNkAwDK4G1pR25Ih1ZasGvBnaBXNNKvCJG9r71xyvGefkVv3oqPn0ODg4OzxocSTkLkV93A7y7P87A1pTOjwwyeRgMgJox0OGE430GUc2QqDNtNzIzsk5k3TWq69DfT0qGYk7m2cSBdd2UJWBnnrUDq9HcZJf5uoWSTUZWO/1CSgJVSElAVPcx6pmiJnTzJROQzpbpcKu283FgxGVZ9CmzFStVKRkqjGQrmn2uqSCZkti3rp+NbRH6hjYQULNDY31mg1TzomUvgKStPjTTuDHpctrTpFbl0hkTHO9u2hRqbYNOxfemVbTpyYBlsnQatGa6hoGJkFVUq1mtoUx8rg9WhNTe4u8hH3v3M/GRdHBwcHhG4EjK2Yra0DIc+xrS6jq0Vt0gN4da7c6pDQEU+HpHTNfGekC7yFKEdtM0YNOQvdw0F73IdCU696dVtEzMaDt0L7V5PtWYgb0uJRQdajhbocajPmSwH0qWR1umtduoGwHdgmU9KomRqjAzj5eBlHsOV7mP3LOMjWaGupHNM6opuYJpcVSUm3n0XVFy1SmQjOk1WtfhPo82oRvvcU2PTJoWKMjZaaRt4GXJhBQTII2svVs9afT+1AYkJ0qIlNQMAtMI6TXW34+Kh7Ukp0Z1ALz8PcCdO5C/4k2n+APp4ODgcOrhSMpZivzKX4X3vQ+JL0pseo3a0MSnOUwYuyxljBXBq5QW5ioMYM2B+ZwsFRnkx3skIQOxse9ISSf0rRwRS2ZguivaCyUGufme6Jye6Q6Dt5ebwLYoLq0zVRkAKKLZ3AMWfGtbVvdZnZKchCN6msAmReu5qXuuZiV0vWpPX06stOLBuqFUexOJkHVLi9mZhhC1pRKvTT8gORzvS1u0zC5Si/3nzgIPrAOu2819ALxX+xo8hnbmAKtLOkXxjKkOrb27NrQsk2a5tOMn98x9V89HszmaZTka1+2Gd+9HgeoQ+SVvf4Y+oQ4ODg4/OBxJOZuReQxg82Wg6JtwVQO/DhgMRIyRj+gcdKCelkRU3KnZi/my6S0CcTvVDEcgmYvUY/DWJ/u6TEtOfBsQGOQ2jVnbjksJtS+VmK9tFFHsQHQ1qgPJwYCuWZ5IJi83BmaepoE+B3+v3UbqyqumcDkYtAMphWhJSgXFqay5mLD0tGPR3GBVy9KNeF0OV1nG+tZG7n9jm5mV586KqVxqM3zUBRcgEfRaJIw9yaBoGaqUAgOYTkZbqtUNN8jMC0evN2BrC2XEQDU2Ie+xsCjOub0I3t/dgfxVb3x6nz8HBweHZxg/UHfP+973Pnieh3e9613H3Oauu+7Cy172MkxOTqJcLuOSSy7BBz7wgVXb3H777bjuuuswPj6O8fFxXH/99fj617/+pH3t378fv/ALv4DJyUlUKhVcffXVuPfee3+QUzirkV/+L8WYLSFhKCU2TDAOLFip1TxgHTXqiTIMWFoY6zOo6hycxsAISRzw92rvrnqHhuy/JmZpc2UrB4WZCU+1s2VJSiczVe6rXSDx0TLG6HwhHb6XwVxYZyr8eW/DzifxmXnQ1ub6ULxDYGvTzhfN9GRSGloom+h2qcjsRRyQnCnBKSUsu6gwV1uKH51kR9GeJtfTDzm1+KDY3tcHqwkKYCTQw+punGIqrrjg75RkacZFBz72IjOVU13MimtwzHU/FUEBeB8O1bjugzV4n/0MvL//5NP7EDo4ODg8g3jamZR77rkHH/3oR3HllVced7tqtYq3v/3tuPLKK1GtVnHXXXfhrW99K6rVKt7ylrcAAO6880684Q1vwEtf+lKUSiXccssteM1rXoMHHngAmzdvBgAsLCzgZS97GV7xilfgf/7P/4l169bhsccew9jY2NM9hXMD2l6bgwEWkJT/gE/9WhbQIJ7DnrrjwCYqZ9L9Mlc2AajO8qnJMD0d0Dcjjqn1AX/XKZjIthtRJFobclsPkgHxKH6d6jELod05Kzbvmj3xTJMRZOY7ojb4xRSIJKOTezYnZ6wvQ/4S83vpFEwQqxmjIOfrUQoMJdOkHUdRBhT7JBl+DjwxZmWeeKQkU9XykxjEjfeN9LWKLH0B/P5gnfvesEySoYJmJWNakqoPbIq1XmvJdiCR13KPJK0sAumGlJcqMdekWaWnwuPj/DpftqnXR0J4/+PPgb1N5G/9xz/op9LBwcHhlMDL83yNovXx0W638fznPx8f/vCHcfPNN+Pqq6/GBz/4wRN+/0//9E+jWq3iU59a28chTVOMj4/jtttuwxvfyFT0u9/9bnz5y1/Gl770pZNd7gparRaazSaWlpbQaDSe9n7OJHjf+xDLFACfpKPMhvNpKUPbiAH5PmN3i5Z8+jK8T23Z62JoVkitE0en/JZl5s6CiF/rAzOTU1HpWJ9ZBSVHM9URAW7A0oZmW1RrknqWFQBsTQPxfClLdmepKK6xsc3KUYv7iR7PsxJTR+LlJCkleW2mYkZzqehdtO3Zk2MqedDMy6jp3EyF12yszyzKpmVrO9aW7Ia0Ku9Y5Dl+ayMJxESPmSqAOiBtn05HPGa83EpYhdSGKgI8rzCzTE6Y8TroJOtpyf40+0/+kCgpOlLlhOXHx/kevb861yiUclqngPxfv/oUf1IdHBwciJOJxU+r3PO2t70Nr3vd63D99def9Hu/9a1v4e6778bLX/7yY27T7XYRxzEmJiZWXvvv//2/49prr8XP/uzPYt26dbjmmmtw++23H/dYg8EArVZr1b9zDfnz3iZzZhIrfQDMiCQ+g6EG0HIi7cqelTkO17idTkMGuA/t5tEgtiwZj9mKkR51bk2FDKkL63KRx5qpik+KBN+lIluie6EZyIWZDfvTLAIgnSkyuM/PTZOhs4PUSyXM2Ao90WPAB3hOsZAx7RxSzYqODEh8/i5K+XNZ9CpLRe5HSdueJj1mVBfjgRmWTcvWTbS5xf2omFZ1JKWEawN4PJ1+3CqKN8qIEd/yiMlcHFgWqJgYwfRzEq6i3M9iYmZ4gwD4wgW04T8ahRT46hbLSI33gFfuouvti/bzXFMfeO4cidRkF95n/gu8//lnp/bD6uDg4HCSOGmS8pnPfAbf/OY38b73ve+k3rdlyxYUi0Vce+21eNvb3oY3v/nNx9z23e9+NzZv3ryKBD3++OP4yEc+gosuugif+9zn8Cu/8iv4tV/7Ndxxxx3H3M/73vc+NJvNlX9bt249qTWfNRgt56jJl5ZBdHJxlDEAVWP+3ItWz8LRLh7tgtH9ZR7bcLW9NfH5RH6kyu3mKmZINggZ0P2cGZZOBHxvmoRCS0ilhPvSzMCoH4gH05LEgc0cUu2Mnt8gJKGoxDZxORghaupp0gstO6BkSW3yi4l5rGhGxoMNKgwy6xTqRdaGDfD1xRKJSiot0/0QaJV4nhfPAfsbNs8nyiwjpLqbYmIZjvEe9yVOsQC4biUjpcTainVo4Vif909nL4UZCZNa+h+NH9rH3z9nnmv67npmgZ43Azz/IH+XA7jqMPAju6mnyT14f/tploEcHBwcTgNOqtyzd+9eXHvttfj85z+Pq666CgDwoz/6oydU7tm1axfa7Ta++tWv4t3vfjduu+02vOENb3jSdrfccgt+7/d+D3feeecqvUuhUMC1116Lu+++e+W1X/u1X8M999yDr3zlK2seczAYYDAwIWGr1cLWrVvPqXKPwvviJ0xrMi+Ga7kHbF+0rIkO2sthGQU/Z2DzpS24XWDgLybmk6ID9jYtMyDet85ajTWz0YtIgnIw4C2Umc2ZrTCIq9eHB/NZ6alnyUibcizZBC0DrQwSBAmWQjMJSnq05VanCBeFsFRirlUt/LXFeLbM4/vSMVNKuF4VqkaplWO0m6kg7dFa0rr8CLfZXyfRec1jPMZMlcLUYmLnoNksgNe7nJjgeLYiXUEQPUpmxnwVWbeW7rSkpLb/WjZTwrOvwSzMc2f5+4GMOkh94A9fZGU4gGu+aJ5fLzti3UthZmuY6pBkVlieyn/y55+Rz6+Dg8P5g5Mp95yUcPbee+/FkSNH8IIXvGDltTRN8cUvfhG33XYbBoMBgiBY8707d+4EAFxxxRU4fPgwbrrppieRlFtvvRXvfe978YUvfOFJgtyNGzfiec973qrXLr30UvzX//pfj7neYrGIYrF4Mqd49qIpKX81K9vQZsA+VOPvNZDlnk0m1nKKtrYCRjoGRWsD9iVIL5b43saABEYdTmOfx+tGwLq2tSu3CyQ2OgRR/Uq0A2VlaKFkUzR7kkO0I4GJgjXLoZ0/SoY06xEHLMlUYmtdVidZbV2e6PG1dgHoRzYJOkqt00iDdCiZFEiXlNrzz1SMoN2zmUMQqzFw7QGew2xFdDAyV0e9SmLRwAB8TbubVIMSpXYttFUcADqerUcN2pSg6H0FgC9v43XoRMDVh+33SkAfnLLs2RNjXMNlR0hA5srWgv3wJK/9S/fy9QsHJD3tAuAB3u1/g/yXf+LUfW4dHBwcjoOTIimvetWrcN9996167YYbbsAll1yC3/qt3zomQTkaeZ6vynAAwPvf/37cfPPN+NznPodrr732Se952ctehoceemjVaw8//DC2b99+MqdwziK/6lfgfe1jJB6diJmM0aAWZpYx0CGCiQ9EIhIdF1KRS5ePmoppu65qRWaqK9N2V7IvY30L/t+fJnnQLE1VOoOCHPBTK9cAfN1PTeSrmQ4tN+k8G0B8WXzTe2jpoz4wa371HtHsiJ9TAzMMmVGKA5au1CpfPVSGoQ0QVAdZLS2VYxKyzS3gwWnxNZEsyL4GvVS2LzJDURkhH5oJCTIrBwE2PFAx2eX5K4HxAJRiy+Zo5mkQcP/NY7QY9wPg8nlg6xJ/PlQj4djXIJm65iBwo4jOH5kEHhsHfuxRXq9vbSRhqQ2Br2wFvrIFePkTLOlFmWhySitr9z7x34B2Afk7XvsDfGIdHBwcnhonRVLq9Touv/zyVa9Vq1VMTk6uvH7jjTdi//79K1qRD33oQ9i2bRsuueQSAPRNufXWW/GOd7xjZR+33HILfvu3fxuf/vSnsWPHDhw6dAgAUKvVUKsxE/Drv/7reOlLX4r3vve9+Lmf+zl8/etfx0c/+lF89KMffZqnfg5CjcCCnEFtEJhIVC3tBwHQkyGCHqyTRT1QIK2vqs3Qjho1QOvpPBtp/10MrLW2VWTQHu9Ju688/fuJEQ/Aumq0NTgQnxcvsxJN5gF9z8hQp2DeIvWBrVuzGlEGZIlpaiLpjqmIYHhZzkHLOWM9riUcIQ0eSPBUFLtQ4us9ITH1AUlXUTplti+yrKJkSj1P1OJ/dERBMTVypVOVlRjpdSon5oar4mY1olNRs7ZBj+KJMeC1j9rPiyXgU1cBu8aAl+8G/t0XeU8UF83xH8Djvnif/e4le/kP4PEP10xs2xGtS5uiXu8v/xLYuoT8h46tL3NwcHD4QXDKHWcPHjyIPXv2rPycZRluvPFG7Nq1C2EY4sILL8Tv/d7v4a1vfevKNh/+8IcxHA7x+te/ftW+fud3fgc33XQTAOCFL3wh/vqv/xo33ngjfvd3fxc7d+7EBz/4Qfyzf/bPTvUpnL3Q2TbqVKplDF/EpMXEfEgApvdVV3KgYE616zoMdKqX0AF3QW72+WFmQdzPGdy3L7KMoFkc7YYBzHdF3wsADSEHOYBQOk8SD4C/usShE4lrQ+vK0dbptvwc+5YJ0YxM5gFjUgabl8nFTfFT8XIbRFgb8nzXdSh63dPktpoN2tC2FmU/ZzYpyoBXP84sRGPAbJISoRosW5T4QAITCfs5MyutornGxoENaSym1h6sk42j1Kz/l4tWLrtrG7Milx+h620OXqexPvDWbwB3b2UXz2hr9/EwU+XoAhVF7x7j9cnFc6YfAF5gBLRKkbD31Y8BD08if+M/eTqfWgcHB4dj4mn5pJytOBd9Uo6Gd9efMFDpROLFkoknCynT9rWhlSa0tVj1GNpJotOQdTaMWs73xLZeyUaYcX/dyMiCZgxEbAkvt+MtlPnzaBDX4wBGVDwwMOew7IiKTyuxlX088GfdRw6uJfNoKleXDqa9TWtXrsQMxHMVlqZGyzOa8VGSoGsGGLC142iyR0Kzt0HiphkfD1xjP6DuBeAa9PoBXKd2ZGnZSicwa0YryKwMpmtTN9/cA76znttcfdj2n3q8hzoraBSqcVmLsGhpbW+D758vG1laKFtr+boOP0df3cI1TfboB7O7ueJXk//T1z95/w4ODg4jeMaEsw5nARLf9ANqaBZJVmPUEn+hZC6xufiCRGIqpn4aOiiwH3IezYIM/tvYtk6gA3VmBXSwnQa3ODBdhe5PMweT4mmyVLJJwZ6UdFIPKEjA1QnO5dhacoPcNDOqPwGsdXcYmFhVMxKqXclHSIeasmUe169eJDqdeeMyhxj2Ip7rTIUlj0FIfcrlRyhGDcU8Tzt3tJNKS21KprR8o4MNIzHGGx3ICJhwWbMuOmsozMxm///sALYvkXDVB5xi3REymXskZGpup4RypspjLpZ43nruJemyWpLMznrJpPRDI3/FhNcDIKktpkZwD9aYnZqpUq/ysf8ORBnyN/3UM/kpd3BwOE/gSMo5hvxHfxHed/6IAWRStCFKCNQvJfMoWNU2Uy2rqIGZBh21jC9KBqYr9vG7xtimPF82K/5yzEDXGFiJJ/WA0GNrbRxYMJ/u0EdECcww4HEXS1xTlAKZkKSpLn9fToxAabeQEgsv5zE0YzQp+gnVhXQj8yzRLEuQA0nO7MDhqpWUooznNlehi6uWpjQrtKFNgnK4xp/VZXexZMFb24L1GmgLs661EwFjqWUwJrv8Xr1ttFylmZVmn9f94Umu/+pD5veyWDatjp5vOeF7F0pGDJt90wQtjIxLGITmQ6PdT4ulFdKB+bIRzD1NZmlq0h2mBEivjRIsD/D+7K+AQor85372mfy4Ozg4nONwJOVchLqXAtQNdCMGwqkug++yCCCVHKiYNJPsxXKRAapV5FO1ZgRWbOYTawNWR9tUNCFa7tAJy7FvZRsdiPfIpLXRqmhVLelXhLCyz07EzAogItuM3TWBb0E+EzKkNvHLRcnmSMAdHVConi1L0uWzv2EzhNSLpCpdNGHGLplRrciV0t4bj4hftbzVEwJUHvFzAUz4quSoKNtq9476umiJSZ1ngdUeKBfPsVtHO5oWSzxXNcZTkXRL2u7VcVjbtoOcJLITWbZt1L9GjeO2tKzj6OI5Gr6N9XnfHp7k94CRztmKdZFVY3PNLaTw/t+/BDIP+c+7MpCDg8PJw5GUcxGq1VgsmclZDnsq1oCrT94N6Vope3yPZje+P2UDBguJdagEuflvaEusDvmb7HHfGvBziHNrsFrnoToXbySTooE7BwlH5lkGQnUaUUqf5L64zOZCaDa2Sb5Sz+buqHmd6mwg53ygDmxetpLGQonnUUyt3FMf8Fp0Q6AmgXe6Y2UZvcZLJfteSygZKARWAzjVueh040y0M6lkPVTwq6WpSmzdTLUh8N8uYQbnxfvkPIs2/FEHL6oepxrbVGjtxtLBjRWx/q8PeU7VoZEcJU8A8KNPrP250q6mfQ3g0hkjZ/pZ298wItoPeQ5FEhfvKx8HlorIf+wXTuUn3cHB4RyH/9SbOJxtyH/kBpvUW5aMiApVM49P0v2Q2ZXq0FqXD9eYbakNGchHBweGuc3+6QemkwD4tRoziOk04MIIqehJK6226qpUW9ucNUsz6uui5KaUsPwSpSboVTFt5pm53HzZpjBrp09P9CyaJVA9yGRP2qBzoCH6jFLCTMuor8wTY8w86cyg/XUxP6swWHsw8znNYPRDO8+idFepU66WW3SgIWDXQjMdmsGojGRjYp+llsUSS1OaHemKOVttaB1Yqbe6e6mY8vgFWUsccLsDdcuctcWsbalo26yF6Q7wT+8HfvpBy+hoaUm7yZp93i+16S/J5+/BKcDP4e36jz/w59vBweH8gcuknKvIPekyCU1EqgFTsw2JpOU1c7K5xZT+WJ9ajcaA26vAcyCzZVQjorOBVORZEUKg5SM1LtOSRatoAwWVcJTEIwWBaTCizKb7qm2/ClBVlBtmNvF3GDAgrswvys1DpR+SVNQHJCeKQcjjt4smHtZumo4QnRxA5gO7xnks9V9ZLti6NSulxMzzgGEE1Abcx3TXZgslgRHCSmzzewAjhLkHzFZ5zl+4AHjxfmY2DtZ5/za0SVimuyQa62WyspZ8NGvTLpCEtoo2yDBKbT7T+jbPX0colBNqVUoJ8O1x4NJZvn8t1IZ0pG0XbJbTY+P8XT9kuei5c+z8OVwFvrmR9+Ble4GdC/BwE83gav/2VH3aHRwczlE4knKOIn/xm+E9dBuDsQ6n03LCspCV0fbW3LOOk6WiOcmqr4p24SS+zcpJpaMkEHGnakZC6SKKxQBOA/+c+Kfo7BklMXHBSkMr5mX56mF76heS+kCYmFlbDhIFDfoKNbTrhzRnU3Gol7NEoxkAwAK76mG0LKWW+es6LOE0BmaMpxoevXaa+QhyoO+TVKgpm5ZFxkRL0hPtTpBZV1BBvFC83FxjhwGzOTl4L1pFkpSCZKyach27kQ2S1Fbo5YKdX+wLqSwwG3KoxqzME2Nc91SXGaKDNTrnXnGEnwHIcY82kJvu8PUvbud+Xv89XqePXGvdUBfP8Z7vWLQZR0FmU6ArMcnK/euQX/4vT82H3sHB4ZyDIynnMrQ1uB8CWWYBTQO0zvnJJZAeqDOAXTjP969kFkTroYSlJPN+Ul9s3BOZhxNyyq7ODepGQK9i7bNT8mRflcCo7cNqmjaUcoiPEcFvj4RH3VhVlKl6G23TfWSCZKWYmIeL6jq0RLRcoBZl1MxOJyZ7sGzEQDxOVPw71ucaprs220e9XrSrRUtV6ryrmZyqiFFV/FqJeRzNPoUjRKUbMXMD8HeXH+F6H5hmNmfLEnUfqWcmdNq+rIRRu42muyxfre+IQR5IsuKAmY7DNZrBvWg/11aJOQFZiWHim+9KV8qDU13LrnxjE79edci6rH71G8B/eR7XtGuM+9wkrcsPTnGsQJAB/7CTr0/0gMuO0Azu8XHk//fPnNKPv4ODw9kPR1LOYeQv/GV4d3/cyMDKJOSMgVdbUGfLDGTLRTM788Cgl0Y2tTjK6BWic3R0ivGyDOwb65ueoTZkANYBeppVGO3mUcGmJ5mXMuznRAhQT7ZbKlr5Rv1edCLxqB7mQJ1P8WqephmUAJKtEMHucoEB/HDVgreuORRSUxsaAZirmBmekpfUJ/mLfcvSTHZ53IkeyyfFkY4lbYWOMvNCUbEqRs5dB0FGKa/3D+9hZmaubMRELfdVyKylnkw0KeWYxDDKgAi8/nsbJE2DgF9/eA+zRKNGby/eZ4MZNROmLrlezlLTtiWKjffK96PYvEyn29TjhOVRopL4wP3reF5HqiRROhTyqsPwejcjL/+7U/3fwMHB4SyGIynnOjYtWwtuVYKrzuNRt9exPoNRfShlFckU6Jwa1VSkPp+stXyhglEtJRVTG+CnBmzqDtsTsqK2+oCVVVTPobb3HrgWDzz2QpnlJC/n/ospv9csSScyb5ItLQbUXeP8WpMn/4cn2RmzUBKztjbfs1CW2Ty5aXU006LaloemSK7GexTaatuzZmdUlxJm1GYUMu43yEyvUhTxcaDXCiQiR8RkrTaUUhmATmBaH/UhWd8WHxd5v3rMZB7HHtRlMvUgENt8IXWpR7IyX7ZBhzlIWjYtA+2I56NZoqUiyepEj4Qr83h9WkV+TpR4/vgjXLt2Jyn5fMlebtsTctgpWFaoG/H1n3uAv/v6ZuC76ynC/fn7gXLCEhCAXL46ODic33C2+Oc4vNlb7AlbSw6LJev2UHM3zXJoGUeDpOoyNOCp+LUmJMKTDIF6lkxI50xDWpNVezFqx66TlVW3osG2PjBLfx0qGI9kG9oF607SEou23mYen+prQxqRqUGa6mfmKiQn2u2jYtIjVe6jJ91Ol84CX9sCzJdINu5fx/ctFzg1+MrDwGMTvCZqFKeZFV2jzhkaEwO12AcqOkQRRtwKKTUgj41TiKoZB8A6dcSMLS9ZhsGL/x/5Rv7r9kWkPAzNXt8Dr8vhmmXSBoH9brLHc67GvJ6AZcp0Xo+Sz9RjJgcgWWwOxLQvNxO8Uaxlwd8uUAOzsf1kQe73p4BLZtf8/Dqy4uBw7uFkYrFrQT7HkU/9GzE4E0KiWQwN0t3IsgCNAUsg09KG3BhYtkPnzpRHPEd0im8cCOFJuT8V3GqbbSDZmkjIjYpjuxEDWrNvAVy1MqqTqQ/5dH+4ymDaCxno9FyWiiQxkYh7v7OB53uoJuUsWfdkF9i5wOB/sMY1L5S5/v11Zno6QoLG+ixf7W7yug0kI9AukOy0Jajr5OKqDC6MA+uKKiZca+7xf5kKWlMhe+M9nuuRqnmLjELbetd4hMij37YunTCzcQba8q3ksTGgyFXbwtULppCKSV5qBCWVPwVHqtxnKsRtT5Pnrfb46q2zv87MixrYjUL1OaOoDZlNWatj6JJZI8qKJZaTvG/+8ZO3d3BwOG/gSMr5gNkKU/hHqgwE7QKDbkHKJj1puZ2XYXIr2pXcfp/4ZqMfZUYitBNHSUhFpvmmns0N8qXVNYcMoksY3HU2jLYiLxWBVsmMyFKPOgrNpEz2TE9Tjq1d2c85W0ZLLEpcHp7k19gcULF1CbhwgSShGwl5E13NoRrw0KR5r2jHz1gfuOIwNRYLJQZ01doA1nJdSEkE/Fw6dUbugbryVmLLMlVi4B89Cly3Z3V7tMLPV7Q83oO3rf7dgTrvIcDrqYZ1oz4vANe+XoiTang0s9ITgpJ7PK9OxG0enhQyJmJoHZEQ5FbqAqzMs1y0dWl56EB97c/i0YRGoQLtYcDP61Jx5Vy8u/4E3p1/uvb7HBwczmk4Tcp5gPz5b4V330cYiHUWzlKJQWcoWpRWkcF5ZbCddNvoED8vZ+CY6JnGBDADstwD/MwG+WmnSTmxFt/Rqb9FFdJKp8v6DgmJilB1XozO8tEhf5nHr2oCt7HNNR2pkjis61BgeqBOIvKd9SQL1xzkejsFKw9pC/BMlSTKA/e5fZHrnOgBLzgIvOAA33v/OjGIS0wI2xFDtYKcu1raq0V9JB1VSuQ6BWBeAr2Slfrg+DewnAA7F1d+9HATcPEa22nWK8iASIhSUchgKq/rmACdAD0xIEFZ1+E56VyeioiRm2KUV5KsS+pbmUgzbaPGc37O0tDGkdJV7llpSqYlr/ysCDMgyaxUtK5DrYqfU2fUKsK796NA6iF/0S8f/3o5ODicM3Ak5XyBttI2+yQbW5dMOKu6Av061TUvk8aApRYdNKjdOzmos9BgpQLR1LfhfwMpd2jpYhgAfc/m4+jTeScyAzklG9rGG2YkJdpxlMNKEmN9lg8O1/iaZl48yDToohnVHaybKd2UlByOVNmhMgisXXh/wwiKDl38ylbToASZtEr7JCaqO5noWTlKSzeNwWqzt06BxEln34xib9MmV29uWVsywHtUMlHpcaEao3Skkyr1bAq2Di8MpQNovsx1axYshfmv6HTo2tDalDNPMmtyH5eL3E8v4rlBrv0wBA40ZLq2dHFNCkHWac6jUDNAgMc7VOM64hH33jJ1Pd73PgTEAfKrfuWpr4eDg8NZDUdSzhPkF70D3v0f5h/9bmRuoRM9IM1snk43Es8QKReM9xg0vjfNYDQIrUU28YBqYm60fm6iVg3orSKDkwotR03TGgOgnXMtMxXaqRdS8TfBal8WwAJZKTEyBVBjsrUlJQsxMZvuUvzaLVCQOgj4dH+oxvc8OkHB5n3rSSKCHHjTt/naRI+ZplaRWY4ssKGBOvE3kk6mmug3lgvmtxKklkkJpTSm2QM1klMC8cQYicKBOgnglYeBL21j5uQYYtLjIsi4XvV/0WvWC4GqkMVWkfdVO66UyMXyeWhLdqgpmZ/q0MYqhNnqyc2+3L8vbadnSnPALM3DkyzbPDbB4092gecf5D1bPOoaADbSIBe9zlRXJjqDmb4wtc+edJd5s7dQc+Xg4HDOwpGU8wlKEFTAqu6fajymjrKPjzOYb1tioMo8BpnFEgPWfJlBOA6AJBWfkoQ/6wTmzAN8zwzO1Lo+l3JNDjEzS5nO1zkyW1p80l4ukvC0ijYnaEzm7FRi01UslIGrD8kU5sC0H/dupFC2GwFN3zQa+hQf5LRrv289icjzZswETg3ZcohhXc5z9wB0pCspyoAJaYsuZrwGbSFIKuJVK/9mn+8diDZmpsLzBLidtocv6TlkNEPzc3q+LBefuiQ0CjVX02sErPapKSU2KqAbif5nxAhOO6bKidxnLQFKNky7vPycWayhCKf/13NIbiZ6PM8jVQpsZ6okiLUh990c2OBIRSVeXTYCVmeTABI9FTdLqdDr3wx0CsgnHVlxcDgX4UjKeYT86l+Bd/hWE6suF8zIrBPZRODEZ2fLkSrdZ1UYWhP31MWSDd1TjxMtJ0SpTdZdLjIYq7fKUsm6TzRzsK4DlI8KwNpppK3PObidThEeHaY33uNrsxVbY+axlVhn3WgmZrZi2ZedC9znr30NePVjfG1JRLEd8XmJfeuCCSULUR3pTtIMTDm2+Uja/VSREogvBAcgwWoMWHr6PztI/HYs8jrp+IBtSxTo3rPJBMOpx4zEtiUjIE8HOpVYy1nFxIY4lhMztutFMhU5Me2QtqKrpuT7U7wWu8dYYmsVrdT3jx+2ktbXN/P9+xvsNKoPmNU5moCcCPx8bbJWSuClvwsAyIN///Svj4ODwxkHR1LON8xUGEC0YwewwL9YsrZgNWsLcgb/QQAgMHGqmnQBtq9yYm3B431qKw5V7diDgs25aQxsxoxmGxS9kIE8ERHt5Ufsd/3QhKDaUfPwpJGaTmRlhvkSsx3r28A1h1YfAwDe9dXVPz8yIRkU0V1oeSr1RXfjmTA2ysynRb1iigkD94rza2paDoDXZ6ZiLcF1Mctr58D2JcsEtUXg3IlYlooyksYDdeC63U//3ldHpiXPl7mOtowKiFKKl6PUBL1zFZ5TbQjk4qGj966Y2Cyh2jTw6sef3HYM0Hb/WNBy1LF+p2XBHGbTn/q872N9Xp9iau7FlRjeng8AtSHyid96+tfJwcHhjIEjKecbtLNDJxxrhkDn4mgmQFuOD1eZnh8G1toaSGBRo7Ugs7bhWDp1DtYYVHXwX+KbiVklBrKimJzlfBLf02QQne5a901HMiHDgERkrM9untG1LJVYqtk9RgJwpMrywgPT3GbLMvf1+Dg1E2sFxb1NrteD+Y00+5YByTx+Xxnymg1Gskda3vHBIYRaMvLAa6OBWLMw963jNuM9EfRKWW33GLuSMo8EbyiEMMiZ9blgwdau3UNHD/57KuhavJxamO9Ns3NJsxOapdnX4DUMpWNJPw/aQp16zMRMiFD2aGv8E8WxCMrK7+T3Hlb7yBRSm+7s57xX2gYtPjDezPuRT//rp7cuBweHMwaOpJxnyK/+FXj33G5ak6FvJELt8EfN1NRLpTGwdmTVKOSwsk/qA0NQT6E+JWpS1i7waVyn9eaemYi1iqKRKJOIbFti5qMXmU/H3iYzCzpLpiJE4cEpvlZKqKFZKjID85UtfO2nH+TxBgGzJFtaLDkA1FIsSBu2iojLYjvfi0wIrBqX1GPHipZ6tHVaZxoVU16XURdcJSd63ZZKJFEAiVyY2XoWS/w3VwFmxdF1umsThz3Z5q5tJAelhNmQCxZ4Ddav0TEzX+Yxl4qShdlD0uHntK/fusTr/+AUz/nqQzxGL+Ix9jZsv0EOQDqbgly6mLKTJ0pHo10wZ1vNnB2tTQFsirKuZbxHYquEVX+n5UgA3qP/CdjSWuXW6+DgcHbBkZTzEdo5oR0gA986LdSELPWADdIymiUsTQxFYDnZAxY8IPRsPks5ZgZA3WmDxHxYmgPz2FgoAr2YpaAnxhio5yp8qu9FzFb4EgS3L7Jrpyfi0i7Mp6MtZl/LRWYj9jW4n0EA/N/3UUszCM087OJ5IwRf28IA/Jx505voWpWY9aTtNYOUHnwgF4I2IdoSJTKaodB/hUR0HVISqspMpDt3MChPd3ntD9aE/IjIdLLLILuvwdc2L5OgzFVIqAoiLFajtNRnBkbbtJsDBu844Ne9TZrTJT6zTdWjdCAq3j16kOBET9bZMcIwDIDFssxUEuKW5RzceKJYLK2e+qzn0Pd4jqpreqxu+iZAXI190/yocLpdEEfiEslXu8Brur5j5agcbh6Qg8NZDEdSzkPkO98Jb+8HLFjEvjnRaheKdnqUYwatRck6JN6IeFVM23RasOpYFKkE/GLC7Q7XrPtnurPazE2zCqqP2Llg5QQtrcxWWLZRPctMlcF9qcjAvmORgdfPqUlZ1yHJUWOxlkzcfXjSMgraaq2dTdrlokRtENo55Z5dr24ElGJz5c1hZEdFp1qm0FLFBQssn012ea27kZnLqZZFW4KXxPm1E/Ec13XYyXT5Yb5vqWQErDrk/dH2aTWu032O9SkkPlZ5JUqNEGjWK8iAZISBpKIlqg5ltlNq2Qv1XhkE5kI72jq+WDJdk/rFNAYkkgdqJB59ISJz0vmVSyeSaoN02vMw5L3eviSC3LqYzslModqQr011LTsmcGTFweHsgyMp5yvGxaxMW4lH3V2rMhxvscRAtKdpwbaQMXBqq6qKX8sirKwPrb25lEjmQ4JxJC2kmpWJMinj1CwLsG1JpjFn1rXTLpjT7aZlBu35sjm5jveB679JUqDbb2yTnCixAEwQ+s+/wwzEYolrV81NL+Q/fYofFRYDDJr1oYl0YzGl0wzKihYlodYmx2prfCUAvYhBvz60QN4qmhA0kH0tSoZAvUkmehwb0BNxcw7JWkmX1dal1d4qz5HOrB2LJ/65iOU6HK6t1pqUEwv4frraI2UYmIdJJ+I+xvpC9nJmu7QM1pdrfKjK0tGFC8yoaRZF5ySN9W2AY00Exr3QRiosicC5JqRpXwNI2jb1eaLHc1gDHm5yRMXB4SyBIynnKfLav4WXvYdPoPUBMxTaelqR6cQTPT69R5nY24twchiIkHTEr2S5AIxJQNm2xCfiTgT4yYi5Ww5MdayTKPWYnledxrUHrHW1XWBJZkm0GjkY1OfLTOeP91n2KKR8/UDdsiG9kPtMJMsT+1baUGxc5nnPVazFdhBaa7ba+KsWQk3RiqmRhqIE3lJsRm46SVrbvLXjpRdSF6N+NBcvkAx2I5LAfsgsQSjvuWjOtBZKECoxg3PqkZA0BnxvkJGUKZkaxfEIylrdNeoaq+MTjp5wrNDzikSX0i6wJKWapbkytxnvm+NuLzSzwHIC7Guu7o7SGU65x/s8CFgaWyra/VBPGfVKGco929Dm+5ZKQC0G+rEZ8PVESzTSfeQN/x8gypB7v3Ps6+Pg4HDa4UjK+YxZsZuvDVkW0Zk5Kowd1a34Of/4557N3ymJh4YG88FIeWCyC2RVC0DqeqqBtxsx2Kjw9pJZK+88MUbSoR0ue5oslbSKDG4H6pZpufYAA6SuY7LL7/c0eV46pE8t/9sFKVfkNiBRg7vOvelEq6c4h5l5ijQGJpCtxDbgMMhtmCJgc3RGUYkZRDVTlcPcddUkrRzznJQs9EKWXbR9uBORBG5oc/9PjJFINvu8n7kH/M/n8Nq+/AlrJ18Lx+uuORkfE23RVr2QfnbU8C3zzGa/GltXjs6AioV8qOdMKTGx8SAwUzwlJ9WhZXUO1cxkUO37tTyk5zcIgWBEW6MOux7g+b8LJD7yohPXOjiciXAk5XzGE2P8Y79xmWLY8b49AS+WbLKuxtra0Ay/dLjcQIKRbj+asVAvi3Ck+0Un3QIMFtUh8IpdQF+IQS8E7tnMoFVK+PN4n0/W+xsW4Gsp8NK9fOLvRsym6MTesT7fs2nZSkJqrKadRZoZScR3Q/1aUiFcOcyrA+B1Kkn3Twa+VwcNAqYl0W31/BTlhNkO1WQ8PMlsiZ9TRNwYcIDhYokEK/V4bj6MyAHmC6L7n+4C3ZDv1/LMZTNc/3wZ+NpmEtDLj0iGqUZB8rEwCCnCneit3WVzNIoJEEnmQwc2lhNmVVY+AwUSkImeOd3qgMpUyKAa9cWBkcIiTK/kSylRf14siR5KHG6VaOrgQvXj0TUo1OlWZ0oNWHb08vcAOZD7LrPi4HAmwZGU8xj5i34Z3lc/xidwdRJVLYD6kKQeA6XaxPs5ty8lzAqM90w30I2Ah0S8Od2RICAfMS+n+LMtgWNWBJLDgJkAzYT0Qr5/1xiJQzEF6j36ixyusU02kIzGojjEqnX7VNcyI5q50Rk1qQfEJSvZpJ454cY+A2W7wNdHp/YC5iejZnCl1NqVVY+iXUFrGZqtXHAw0GrG5PtT3M/2RZawZiu085+psvw22eUMH+1KAmwYo65x+6IFboDmb/sbPMZYn9dG/V70WMfCchH48laWyra2aBx3vPNR9EP7F2bArHQB+bmQ05Qlm15kn6GpDucq9dSczzePGi2dacmskBr50Wydl0u3WJmfl544A2tpbhis7U6rLee5BwSio0mlZOUBXsnpVRwcziQ4knK+w4Ok3EV/UJbyjwdzn1XjsaFoBA5X+Ue+LNoVtaLPPD5BFxOgFlpra+ozEGRSdiglzHQcqjGwaQlmuiOCWnE9nS9z+70NBlA/By47wiCq3iGJb/qNw9LSO963UoGSh1bR5gsB1kmjPi7qlTJa/hk1oKsNSdaaEvi0/KOlHp1tsxa6EUlH6vOaNQZsD97c4mwegEF3umMkJpYMj2ahFKOZKl2nEom7t1JAqj4m9SFwxRFrWT4W9jSZVdvTtDLJY+Ncx5WHSS6PB9UpVWNevzggKVGxtRr45R7QL/E+6XXQrJoSvjiw7AzAz4eWzVLVoQRWdtRSkHaY6ef5WKUs7ThbmS+VW/lSrqOHm4DlIvL6jcc/bwcHh2ccjqSc58hf/Gaau5Ul89CX7EO7YBqS8T4D3mKJQtfE59fxPrURjQGfaFPQTyTMWFYoJTZ4z5MgoB0b6mbaElFk5pkNO8DSSCFlMPdytqtePLd6UKEvwXleSlRBBtQS7rdTsJlDqbfypLzKoG62wnWrLkKt7QtSUqlKy612BanPiBq4hdnqUsxa+M4GE8xeedgyUZ2Ia9nbJPF4aJIB+rIjPJ++WL/XB6uzOqMYzXLMituuDuqbFDHpgfqTjd5UIzRfBr69gfdV5yqp/wnADqhhAPz4I08+9r2b6FYL0ECvkDLzoyikwDc2sZQ41RUfk5jnNVfm2rpS8umHRhYAGz8Q5LzOo5miUbO8xOdntSNdU1FmLePHygAFOadUF6XtWj8feg/ny7wnj4/DW/xvgJcj/8WfWntfDg4OzzgcSXHgH+t2gd/nHoNOlJrB2Z4mg00/ZKZkTEhLq8gSiJqWNfr8o6+6ExVQrmubTkP9KxakhTiSklJtyPeqt0WryONMdYEHp4HnzjHToFObNWuhnim5R62ItjYrIQJIQFIfGObWytqNrLwDmBuufp+L2FO1NzpcsRzbU/dTua3OCXHQNT48yezJ1iUG7c3LDIr3bmTpR4+lnCTzWPqpDU0c3FijhAGQMO5Y5PHKCQnVoxOrJy53IxuJsOxzPbMV66qJfd73VpHXsCTOvl/bQvJ0UEzWDldZntrX4L1OPZLKVevpcXDjoxM8jprEXX6E122uwq/LRdOgJD5QjNnhBBhhTT0jHUpQSollmDa0SfoGAT8DE6J52dd4cleXalGCo46h+M4GaoO8nDqtdgHe7X+D/Jd/4vj32sHB4RmBl+f5cR4Dzy20Wi00m00sLS2h0Wic7uWcUfDu/rjNg9EUugcGiKaUXjSA6jTdTsGe3DXNP9m1TpelEfHkWrbty0UGydkKBZBRxiAbSKmmJfNYLj/CIPjd9SZone7acVVQqVb9YSblq9gIU6dAIzoPZlW/VCLpyjyWINa3WfYIMnYyaZvvVNdExDrbaJQorYXFEvD5C3ntLjvC49+ziaLWaw5yfQ9N8ngAz13Pty6TqVPPvE4iKZmoMd1aOFDnNSolluH68jYG6/HeSkbA+9tPk3zMl0m6VN+SCdnQSdGHqmwT1hJgNwK+uJ1fN7Qp1J3oUTfzQ/uOnfHRtamnyo5FkhTtaBpIF5nqTJQsrlVKU1O31DMjvUS6rYopdUyblnk/58rWebRz4annHfVC4C8vI7nVMRFKYsMMmOgh/+l/euz3Ozg4nBBOJha7TIoDMap9SOSJWtuEteNH9SJlCf5Tok9Z3x6Z8OsDXmatoEpseuEq908ADMZLRQaOpZLNZOlKeWggmZu7tjHwVGM+7cfSmjwQPUwOBnAt6QBm+OXB9CnqsxGLvib2zRemJe8fG3Eu1UxOObHOFX2iD56C239zI/fz/IM8dy1TbZYn+0M1ZoiWCwz2lx8B/s8OXl8tZQwDkpgLFvieHDZIby1RaDUmORrKub50L/DcWbrUfm+dbdeLeJ2vOMx1tgumBxnrm2PtNzfyfm5f4jlcNA+8eD/w51eQ+LQLwI8+YeWz42GTkKtd40Z4Ruft6NDGMLbMVw4T2gKig0psbMGoq20s91NN4Q7UgW9tYIZJLfUvmue26oo7ilaRBKxdsLZynROlDrkXz8H73J8BywXkr/+545+vg4PDKYEjKQ4ApNPnvo8AYQpk0Yg7amjZh9EArX/kmwMpS1TMdXYYkMio7qFdYFArSRtvbcgncYDb1KWcMdq5kcg+dH8TPctgVGNzhNVWVm05ne4wYLUkS6MiSRUBq1i2IE/dOrV4vmzZGC+3klaUmcvpiQ7Tu2czv151iOe7XCB5eO6ciVB7op2Y7lLcur5Nr5jHxld7zvRDE77GIpSd7DEbsVxkOWPlXvSBaw6xXNEuALub1MEAwKWz8NLf5fevKdjQyEy6nPY1zNsEYh3/fMB7/k2rz228B/z7/8P9PzrB+6geKOpLsxZUV6JeODp3KRIzvjHxeanHQFw0YbLe2yi1jh81zAPMKbkinVcPTgPfWU+Rs55TkNu0buDJBAVg+XGxZEZ8Zfl8DET8vW2JuigZUeA9/h+BdR3ktX+79vk6ODicEjiS4mBIfGsj1Y4Y7WyJg9XOq6pDmZTpxJWYT/wPT1pWZqFEQrGvwaxGc2CmX82+PRVvXOYxtFtlucgMjQbnCsW3+Q//0lOegrfvD/iNPllrxqQrk32rMfULC2Wbsjzet+GJ5SEzHlNdrkknOT9VpgBgNuhAjYHzggUSqK5oI/Q67mtQ4zMp+owdi+bncfEsv//uepsifajGID3R49fEZ6CMMtOqaNBtFXk+Vx4mmWgelW3RIK2t1MBqG/1W8dial6Oh12Z/w0p5reKTNSCK8Khjj/d5j2YqRoIzz0qIWmrU2UqaXUk9y55oR1k1NtHtVYeA8aaRwSfGeE6j5cbU52dr65K9Nlvh/YoyEi/N4g1CuyblBHjlLiO7uQcv+V3k4b8/sWvm4OBw0nCaFIdV8L7xURMlhqKTGK3766yabghUpKQCMCBuWwIenGLwKcckAmHGgDBTYeAf77NLpxKvXbIAxN6cvhr5xn/19M7jex/iOhLfnsq13VnJmH6vAuHGgITp4jnL+pwo7lvPSc6FlC3Rz50DHh0H9oxRxKoi3Pkyr+2lM6tLFVFK8pL43M+2JRKdL22jkLTZtzZw7Tya7jAYlxKKWh+apKD1qkPHdpnV63sipOtEsGvc3HCPVHlu0x0b3rhW1mL0nPc1SOTK4l6s3jhqaa8Ge15uJcVqbKU3bV0eze4djc9ewvf80D77zP31pbxPqq9aLpKUtIokKY+PW3v0jkXg1Y8fe//azny4hnz7u57ulXRwOG/gNCkOTx+NATMC/dBadtWfQu3v1RAthz1VBhnbklVvEGYMNEPxzOgUGCh0Ku/OhTUPn+MmHndM/j1N5M97G4lKVUo2CyXr6NEheuq/UR+w5DDeo3B01KH0qTBT5dP6YolP5h54vEM1I2tjfdP27Fi0UlcvBA5JJ9VCmfvZ0CbRuGCB1/K6PSau1fJH6gvZEd8XLblsXyK5UYKi/i/jfQuwT0VQ9jWYUVjfPrGsys4FrkE9VroRA31dzNe0bHg0dOqyZtYGgV272AfykTlS6oeTimA6GBESj2ZWjoWrDgP/9VJmo7Rt+pW7gK9s4X266jBw7X6+3otYxrp4jse/eG5t0ffoddTrvb4N7z//F+T/9PVPfd0cHBxOCI6kOKzGE2MMkh1JfXs5n+TVuGwQ2DwfnTgbBzI/ZbQ9V7pFluT1XsR9XjbDADtboR2+IvdO+bC3/Hlvg3f/h4Gl0DQvqmnQ0scgZJC88jDXqzNzngr9kKWOx8d5Pda3zV9lX4MERDUa6yTjMUrMZissjQG8VjMVE4lqINXjqIi0XeBx9owxaC+VgFlf2prbq8sXgIiLRbSrXVteznu1FhHrh9SzbGyf3OyeKKVe47EJM25LhbB0I9MNtQtc62iWR+chqS9P7JvOJJXP2EDM2wKfE5i1eywV4rxcPHZWDuB1f+N3mOm5cwc7ptZ1mP2LxZl2ucjXygnwov2r37/W/KO1iF4pAf7p/fBwPwA451oHh1MAR1IcViF/zT+H960/ZqDohywzDEJqNQASDoDZEX2CVSOu0cFwOkyunQBRyMzAskw2PlTjE/EXtwM/shs4WH/aZZ2nhLYgBxlQgBmFlRJmL6a6DPzNY2RPHpsg6VCn0p50FQUZyduS6Dh2jzGL0S7wib0ubqrxyEC70QzHrnHziyklJCIbl637Z1+Dbbq9kAFUZ+OEmc0Z6oteojZcO0OS+CQj3ciCuJIyne48ilIC/NijNiRQt9cszGyFx9y0/GSBrJKM9R2uR036VA/ULgCPTALrxqjFmeqankbHKmgHWSolniizbh39XKnLbJQ92YlWS0NrlWX8nMZ1cxXekwN1kqnLjvBa//1O4A33r012RgnKWtftGPBwE3CgjnzTM/TZdnA4D+BIisOTEftM15cSBoDiwCzwiyOD9lpFBsxCZl0xfs6AurllmYLakBmaQsrySFWs3w/WgV3jyHe+8xk7lfzFb4b3lY8zE6FzhBZKJgDeumQtvqPY1yCRmJOyShIAhZ7NowkzZoY8kLgsF/gvktKXzvsJhiQtGtSXi+w+GeuTYKgYVkslQc7rMlPlGgqpfU0is4O/ZJaEr5hwzpEHZgrUhG5dh/dMBzW2C0YiD9Z472Yq9BPZumT6oy0trkWFw93IBKRK1NSxVjUy2hVVleMtlswF9lDNSFizz8/NfNk+A0o+FktmwOfn9LSJcmv/rQ/NEl87plbcZz0bm1Ad2nXUrJ6X21yq/Q1er9c8RrKl13OiZzqYtaAamhPt8FLL/QN1eF//DPKf+vkT/sw6ODgYHElxeBJW2pEz8I93p8BAHGYMQtpW7IF/uHUooAcGkEDEsjp4T8s/82UGRg0wVx96RgnKCjQ4B5m1yr5ov3WAaNAdxX3rOJlZLfAvElO1uQozKZqhOVIB1nV5Puoz4uckNzo4cbQMUx+wzDAMmJnQgKqdOrvGWHLoiI/IMGDg1WDaD1laAeyaqkFamLH81C4AFy5QnKv6l1FM9qi7mC8zE3RQiMQFCybE/eJ2DhkMpFNLLe+jjPfwoJizVWXOk2YgjlT5GelG5pGj2Y2JHs9zqsvXSomVBXOYd4rqnFQwOxBjPiXJSj4KqXWE5bCMSimxzJJml+oD4CX7mO16eJJr1gzJltaxu5Iyzz4zJ4NWkaMDlphR8v7qPwOTPeQv/8WT24+Dw3kOR1Icjo1+BHSllbgk3hRJaBmTQsqJwEhN4Ki29TqdWCcUezmD2nIRGO8j/1evefbOQ43R1Evlxx5d/fvlopGUbsROHX1trG8dOfvr/NqN+ORflum9OoDxysMM5k+MMUMxX2ZwHJ09o54fu5s2jTcHLfIP1nhdt7T4/hx0cy2kDHYTvVVP6OhG1jXUGDD78rwZ08HUjwqsw8A8RtZ1gHYE9CX70ouo1dCOlh/ZzYnWG3ommG72SdIAa0cvShZiGACzokGJJbNSSsyfppSQ9JSStXU/lZhW/cPAPGlGyzu5lHZU5zM6m0dFuJqF0a9HC2onZYbQ1taTSelaSKVcNeoRtBbWMocb60vruvxcHwJBRq+aIHN6FQeHE4QjKQ5rQ9t0UTLvFE2XT3esK6NdsAGDmWfmaGEGeCKozTwGhkcm+Yf7174G4FkkKaqxKMerA/e3NzAwa/dG4gP/38XcXrxZVobgqY/GMCAZ0Kdwdaid6jKIt4rSQeRbRuD7UxQMJz7bklslO950l2RmuWAlFJ29Mz4yTqA+IBkYiDA39S2Yb17meb3wKMGnBnaFds7UhnSijVLez//r+5ZVWioxm/PIJDMr6omzUCZx0hJPY2BGfktSapnokbT0pTRUEdO9amzakqUi1zA6WVndhRPPpmrXhkZQlOSNDnNU0qCkTV/T7F06Qgx10KRmaZp9Iw9HQ7U+6iicw3RYx9peBdlHi2uv282vD01Zu7us1cNNjqg4OJwAHElxWBP5NW+F9/Xb+Ue1OTCtwWSXT/H1IQNrmPGPtHb/qJPo6KyVXgQU+8A/ehSoD5FHv/3snkw1tjVedYivtQsUuyoxeGSSBEODeJADyxGDz1SXxEXT/uXYPE80kG5f5PTcmQqvl99j1mG2Ql1Gp8ABjE+MMUCu64iBGfgUPghNZBulwLUHSBgmemZ0VkqAWNxdpzvc53KBBCZKn3zea3WgjNr5X7BAkqSlmmEAFBLg0ln+O1zj+TREk7S7KfNyQLM9Lb8UUu5H13igzgxbQ8pay0JkYxEKz5d5vus6fL9meA5XbXRCkBsJG81EfWUrS1iqo9EOtH5oJRkd7zCa/Tg603GsNmzVKin5mS9zHcOA4trZCnD941ZG02zP8SZhz1RILMf6JD1CkDwhKY6sODgcG46kOBwbRWk13rjMP6yDgISjGjPwAPa0nHvAIER++b88rUteE40BA+BlM/ba/3sZ5+oUU3PELSdAGq2epKzBKvOsE2WqyyD+yASJWymhFiT1GXznpC1Wu1tyjwH+ohSY6gGzZRKQDW1+3di2jplhwABdEFO0UTv3BRHxaseODgX82hZuG2XMkBwLXv7kmUNKUDKPJnKBlIJykFA1+yQAEz1mdrR0FnnWvVSNuZ5Eynrblvj6QonXviIuv/UhtSU+WNraNUYBcD+0gZajHTp63qlm9cCv9YERECUbWlrSz2N2rFQJjk8otHtHBcHdiJ+d+9eTfOmcKSUpOozweF4tL9rP+9iRKdTTI1mk72yAV/5DYEsLeeX/d+x9ODicp3AkxeGYyK/6FXjf/QhFkvoEuFDiH/KtSwyaADMHxRT55L85nctdE97j/xHwPOCH96z+xboOPTOKCYPnpHR3dJrWPquTdY9U2Vq7tcWsSHXIjJKXM5BP9EhyVMSaRHx6HsjTvQbVxoAE4znzMu05k6GDy9yXmswBaxupPTZuAt5HJ/ieXggMQ6AfMABOdm2K8clgTjp9yjEJxLiMLfCwQkAx3reSxn75TBTTkQnGHgDp2irHNtPnaL7QLjALNAhIECuxCWHVQTY6Kgsixsa45qB5vCgpUZHsqM7kWETkqQSwSoxUlJv4wMNTJJtjff5eiScgxnVPYXpXSDnle7EEPDANXAbzvZmt8PO0fQne8vuAhRLybb9+/P05OJxHcCTF4fjoFBg4JnsMrNoV0Q+pl0h8/qEdBsDk6V7sGqjGq/UPisYA+M4Giji3LdEP5apDPK9+KME3NvIwkM6d7YskCAfq5gXTicynY6lIEldILSAGuc2PqcRW0jlYJ8HTbECUrl22UVw7YvKmxCj3GDjbRZLGRyZJJk6kVfZQjW3WVx1idif2gWHJznUQMJhGQ5KupSLJSn3AzI+uPcg4ubojGZB617q62mJzv6dpGYogJ6kKRUy9WOK1KomDrj88djlm1IROScmpsvhX5JI9K4soWctNQc57/cQY7/u4dLStlbTphyR9QcYMVUvuVX3A6cyhtKlrGSrIAI+dc17tPyCf+K1Te04ODmcpHElxOD60U2N3c3WAVZv8hmRRtp6hT3+jwwFnKyQmYcZMkHq/PDZBorKnaa2+9YF1igB8sj9QA/76EtrPT3coOp3oARe1qUcpJdZOe7HMhVFr+umOaXl0oOK2pWPPgzkeVBuUejaIT7URu8Z4fiqiTX22Q48SteUiLeF1bs69G9lRVEgBL5NJ2B7vrQpeE5+CYZ2v0wuBib5pZspd7svPza1YM0vL4qeT+rzmhdh0HkslXuuBiJUvnDNdyjMBnRN0PGKTeiRQQcbz+5HdLO0dqPMaBZm1iJdlblIx4Wdl5yL3XUp4zfbXSR6jlHofncBdSpjxmquY4R0gBogFePs/Anj5mVk+dXB4FuFIisNxkf/IDSz56JNxYWBdK0slYKmE/AVvOd3LXBPewn9gNgAAvrSdQbMxYICtD4FbP8924/vWiQ9MStM21XrkHgNIKWGZa0uLOpZHJ0g6LppjYO2HDDjDgPqFSkz9Sw7azNcHJCzfm6YGY+My17QWQRkGDGp+TiIyWrbIPeCbG7lNTUpUG9tcY6vIjMUgYNdS6vF8S6JheXQCeOle7mexRNHwKLnRScIaQKOUATjxgVy6b8b6JHKKuQq3qYvr7VjfurvmRFQ8CG2CsYpgtSusEjP7cqjG9+tk7FONYQB8YxPv8UKJ63r57mO7DAdyvlp6mu5YaQagrkhnBzUH3OdXdvD6pz4/FwD9bB6dMF2T+sKoGL2cMDu1oW3X46I5ITcNwMvhfeEOoDZE/kNvPvXXxcHhLIAjKQ5PjQUpBaSS144y/hHdtMyAd6YiSs2TQ7MjkQoYyww+W5cYPL+8TQJPYm22msq/6hA9UAASDP0esNZWgMF5S8t+9kBS1CnwmBM962Y51pTifQ3gWxsZrFpFEqhNy8zMHKzRZXZKdCeq49Bg2xgA92xmMHx0glmixoBP6duPMpR78T7+fr6M/NX/nMu960+4ztQDto5ct+UCMzGzFZasZqoibM1JyrT1tyrtypln4t7M4/mr3X91CCyWuW1VWo0P14wErYW9TRIuPweuOLz2NqN4ZJJk7uI5Xqdvb2AGR31l9jWAr25ht9la0PlOgJGr9W1eh7JkQKLUNDQXz8mMofDJpcUMJJuhZF0KKdcyI6aAqZjRxQFwWMqHkZBN7Yxb34F35P3I1/3rpz53B4dzDI6kODwl1nLJ9L76MWCpiPy6G579BZ0APNwE1EZe0ODQEk+PdoHpe/X4qA0ZHCoxMB2TsMyVzf9jLWhHS2Pk6V+zBapZUQda7QAZhHxf7q2dSVGtz9YWcI88/T82waf02KfeZKormZOErylJmeiRRAUiqD1QF8+X4WrL97H+sQlBQ/xYWkWuox/KgMiQ++4USMQGoZnGFRNuo7b5g9DakTctc31BzsySdi6lHgnuYonndsECy19HIw6Ar22WmT4+93HlUxAVzVzoqIKKZInaBWtVHohI+akyN3uaFLu+aP/xj3vpGl1Vj48DY0KMdTRB7AP1jFkwNUmcqQKVRV4T1UT1Q5sgLQ7P3q6PAVGK/PlvPf6aHRzOITiS4vC0cCann9V/AgD/0H97A0lCJRahq1j690MG1GUJ+IslEojxPp901W/j4UkGnPUdpuYLCYnDoxMM6BfPrbaf/+oW2tQ/d46ahEFA0XFRAviFC8fWRDxvpE06zEh6trZ4HLWZT3wGz1KymkCVE5Z0BiEDoDraLpaN6Bw9KRmAl/yuzFkSDYleg/kyg2QCuxYqfvVyK4eEGa9f5oknTcJrrO7Dfs7grISgmPBfOFL+GW2d1gyMkoktLd6bQzV6laQ+s2BHW9mnPjNBvZBZGjVm07lI6omjox3+7gKSoFfsOjZp277IbNGxMl/HwwUL7Nz6/hTXUNb28ZDlnkEAtD0gC3h9W0XrEuvJ0MWiZANnKySJcxV4+/4AaBWRP+9tJ78mB4ezDI6kOJwz8HATA9TeSbbqzpepCSnH5mCa+AwOc2VzMN3TtKm4ccASS2PA0kqQ83eDgEPpBgGDSTeiCHcgrb+XyWTfiR5LK5nH4HbXNpKSH97DAFtMxDNE2lb7IQnTWlmVHYtsVx7vm/MrQBJSSI10KY5USUwO1mxAoPqFzJcpql2DpCD1V/uT1IbAVAfIq/x9IWVmSbMq6huj1vVhttrPRa9xfWBdT9rOG2ZALaeeqZSYkFg7db66heWaKOU5XLDAa1CJSRTv3cTMSuLTVG2sz/uwVLRJympT74GvdQqAL+ewadkEu3My1fmvLyW5W8tjxs+pIzravfepcFA8VR6d4H1MfF67ya6JkFWIHmS8Z2oKp9k+beHuyBykwzW7nhcswPviJ4DnH0Re+7cntzYHh7MIjqQ4nBPwcBNw91aSiukOSchsxZ721Ul0aaTdVYWM5ZhBbn/dnrg7BQaD+TKDxGSPBGCdmKbduYMBKPG57USPOp1ORDHrMABecIBZlufN8Jh7m1zX4RozL9/YZE/76zrcZkPbjMqOns7cjSwzoJ03o+iHMjeoaufXkRKDDlc8VHvy0MFUCEpd9llIGcCnujbFuBvxOqmAuhdySnEpsSyLIshIELS0owQo83h91Ndkb5OZhufM833fn+I90/MfBtzm4jmg0iUh2dxi23R1QNJVH5o4Wjtk1IdGs1WqHelGNv9IpzQrUf32BpKlo/1plkrHzrIcC92IbcbPneP6ajKEMRbXZp0JpCMVDtSlzT3kuhdL/P2ytLP3AiDoG6E9ULf5RIdq8A79CZD6bnihwzkJR1Icznp4X/sYkG+R4Bmxi2ZMdBB1ISSJNzLDZ6TcMN0FXrmLwenhSeC760kywozfLxcY1C8/ws6ejW0Gtg1tEpVHJrj/QzXgdQ8z+/LoJFP0hZRaBsXLn2DQeWQC+J/PIRHQEom6yarb7WjGY1+D+x/NZBQTZmhGfVV2LvBf6tP4ba904qhz7nwZ+NxzGIyLKZ/w17XZXj5US/6MgVOdVXVI3ljfZhpp9qQcWxlktmItxo0BUJYOpqWSlXxyiB5FfGTG+sAlM9xmf50BeijeLP3IJhxHKff/xBgDuM5h6kg5S0sp2vq8rsNrqzoUHXA5lLKbtpYPAt7PQkqCtK+xutwGHLsD6HioxLwPKpZOfHEWXubnM/P4uVSTv43LXEs/BHoFu16RZKdykMToyImlog2CVM+WH37C2ew7nJNwJMXhrIb3yc8C0bgMoAOzCBfN8w9+Y2DTl8d70o0iT9BLRZZltPvnNY/xn+KxCXbALJQl+C9S56BP59sXgTd9m98vlJkhqQ1t7s2xEGRM9WsQbQ6Y+ZmtcP17mtSgKDKPmZfdYzyfjW0Gr1aRpZGmiGC3LTGA98TG/XCNT/Tr29TXeJB2ZilfhRmf9p8zT6IW+yQuYWalqEHIQKtuspoV0dKMdnsBPNbuMa7l8iN23VPJWnhCgHSeT5DxPUsinv3+lGVCtG05EpLxxBjXpURIy0zaypz4UqLqspyjM5g6I0Mbe9KFtVgCLp2x0s6Wltj7+8efdHyy2NriujsFc889JGW48Z5lkwDTGDUHJL+TXZaL2kJYdD5R5vF6Cj9Z6Qxavzoz5oYXOpxLcCTF4ayF92d/BVRF8Jr4JCHa5ptLME2kjNEq2oyhREScPUmvr+VIe+E8/ylaRQbhiR7JymhAG+8Z2RmF+sl4sICkxl+bl9lmrOWd3WPWzj0ITH+QetaNE4o3h4pov70BSMaBqw7zNW1tvuIIA9hXtsjwPmlpVafgopTAPPCYlZjbNwbMHA1CE5jqtGvN2ESZdTUlPlDscF/bllZ35/SkLKXDAxMhF6nP4473+P26DonKQtmGQKpfS+JzLY+Pmy9PdShdRxEzQVri8sBruXMB+OpWZh90sOFlM1zH96dIDpsynkB1JpnHdWxaPunPIHaPMTPWl2u2rmMZpVaRpMQvmneK4v511k49W7GOp/pQMk4ZtTelhPf3UM2GX3owcnXJ2oTYW/gPwD2bkL/mn5/8OTk4nEFwJMXhrIP3if/GP9Al+aM9DPjUCViXRG1ohlwq7Jyp8PXcsyf8qgTJ46X1E58ZCg18gGUT1H336FkxmSe2+TJRWVtyhwHLSmN9lhcaA/7bvghUxRF3ucAU/uh036GIUZcLNlPoklnqM/bXub8otfkyLzhAcvC9aSuH9EN7go99zsHRp/ScYkwsloD/9lzg6kMMuH4OdAPzDtGMQ0/cZb+5ka25o90vg5AkohOtviZjfe5/KDN7EvHe2V8X0pQbSWkKYeqLnkUJ3yAErjnEbda3bV9BJgHeI9l4ZILXbcei3dvpDlDfYGZ4y0XgoSmSHDWkOxZ60gXWjXhdghx4aJLXP5HWaC0nBZJ5UjK3WCLRUo3R96b5Oy1hJT7wQ/toLHiwxmsPkCR/aTv33QutxJN5wOcupOZFScre5uoS4XgP2NOE97efBiox8le+6djn5uBwBsORFIezD82+CUK7Eev1FZnMvFRk+cKDPcWnPn8XBwximt5Xr4yJHgP4sSbZ+vmTUuoAuK+5imUf1KlVXUXVF0QJCmCzfx6d4M/fXc+n4voQeGAdA27sAwsjQXuhLHqEAktFF85zzYFkMA7VSMA006K4/Aj/zVb4xL+/zn3r0z7Anze0SSBqQ5KZCxfsiT3ISGSGAYlTmFpr9K5xksO5irnoAibqBExX0ioyWI/1RXeT8tp/Z8NIVibleV06y4zIX19q1zKWbZ4zb2MFAF7XKw5bpqmcMGtxsMZrOt3hfVK9iup5AH5WdMDhVJdrmexynfNlvv+ag9y2nDC79cgk752fc7sgtwyRZqQ8yTY1ByRzvdCGKqYey23rOzxG7hnJe8HIbCZFdchjtor2GZ2pkNC0Slz/ZTMyC6rGdemMpx97lNmjSgzvr/8z8n/yT9f+fDs4nMHwT/cCHBxOGstFC2xdcUhVsy8VHKqHSF1aj3Mpm2iGQzt9DtVIXvrH4evHmqjr5QxqOxbNwj71pQsjZ5DSbhjAAvarHqfb6dWHmMoPM2ZXuiHLBBpU48D2V0q45sUS8F+fxwAXpQxi1SEDsBrHaduxYqrLAKglm1LC9/g5tRPbl6zkFWTUbOhUaF/OP/dsAKIn4uMtLWvRHkVjYMQs9fnelowxjgObB7Rtievycupo2gUb3PftDUIChFjMl3m8F+9/csbj8iM8/8yjcFmnWOs5JaJdeWDaiIS2IAeik2kX+Fl6YowEQknh/evsvk11SVY1a1cb8v1jfRNiFxMTFqdyH7WstrvJ9/pyzXaPkSh/Y9OxP3sXz5lQ+NWPAT/7APAv76FIO/aZNRrrc81HqsxsaRlrS4uvz1SBhRK8e26Hl73n2MdycDgD4TIpDmcf3nAf8MXtzDwMA+vW0U4SgH/Ye+InojNsACMj6k0y2TPn0cS3Dpqnmqx7tLX9VFfKHKGUh+R7bV9Vt1QlLDsWuY/MYzAJM4ona9LmG4UWjJUgBCFJVXVIG/9YMguXH7FjKwFYC8+dA7otZpr02gBPnphcia0klkFKZGvsrxIzCzN9lKbHkyxQLuU4JSTqAdKJeF20FXpLi7+fqwA/+gTJxGMT1hLdLvBebWwfeyBjN2KQnpfsRihlrJkq70csmY5uxIzNonxWJnpWhosD3sdczrkX8Xp3CiRuqs/pRSzdaGt7KeFnTL1QdjetvX0QsLNM/U00y6R6oyNVklmAGbN9DV4bLd3UhiQnR+MfP8x/imHAn3vh6s/uzgWSvk3LK58L1wXkcDbBkRSHsw554bfhTfwxMxFquHakykChbbya1i+NtBv7st1S0XamQWbbEoNEffDUBAVY24FUA2gn4ho0c6M28RrU9L1q0LWrxACpZZB1HRP+FlKWiA7UTWz79c2cPP0v/q+VQ3vf/iMG39Gl90IrQ82XbYZQOTGhrV6bo+HlzKKE2epOlFGEGTML92zmfKOprv2uEgMLIdezUFp9rT1wLXuaJra9dqTUsa7DUpLOtqkPmRE42sNE0Q9Z6lgq2rV+0X6e34PTPNetSyRDD09Kh0zGY3cirmO6a5qbx8dpoLdpmYSwF5HUNAaW1WgVV7eYX7DA0p12GcWBXUOdmKwZHPWbWSrZ/VJDOh3ZkHnMzh1PJ6PQTGAhBYahzWwC+P5j7MMb3Ezn2mk3E8jhzIUjKQ5nJfLnvxXe33+SwWEQMiB3IxMrbmgz4MRSAiqmRhr0n5ebXf7hmszvkYDdDxmENWCU4+PPeVEr91yezvWpW7MANTFE6xSAwkgnUJABX9/CQB4HzIx4OXUho1mKKWlLvfYAvTz2NVYff7xPrY6m+tVPI8it7Xddx0oV1SEwfhTR0sGKxdRM8AAR2garPVkUjQEJwHc2iAPukOWjIAMafaBdtOvWjnhNukKUvJyljgsWVtv7bxKDtwenSEI3tBnot8ufqyNVkjYVmH51C7Mw4z2ed5DbdGq1lG8VqWXRAX46oPHwNM9tT5PnooLeTcvMsmlpS9enQuy+ZN8O1K0r6IojwJe2kYTl4DgCzezl3kgZUIzlNi1bhme8x+83L3O7B6aBV+069ucN4Lp1wrRqfnaPcY1askp8krGjs2UAtS25B+/wrcjX/+bxj+XgcJrgSIrDWYv8lW+C950/YgCZ6tIgbdMyfVLWt2VgmzicjvekPCGpdn3SXSxZW24hZZBSS/VuxD/+qi/Z0rIuFIDBQf1DiikDaUkClwpbJ0eyC/UBCVVbpukGGdf9jx8G/uZiywDtbvK4rzkqza/iVI8ZIW/Xn8lxMuD5iwzUR0p8LRahaz+UAN63da8lAga43mOVuqJ0pTzg4SbzKwGom5jukjw8MsHjr+tYOSsV8laXjiudljze53uPRuZRHNwuGLEspiQNy0XqLkYzWY0BCY1mjra06P67pcV7sSAuw9/cSPJzyawR0DiwzJdqXwBe/yfG+HnSDJkKtHPPTNn2NEkanzvL66ZERwXaKxk0Mb/btEwS9531zD6NZoc0q9STcxglhUdns3RYop5H7vEzu2OR9+GBaWYGx3v8+cX7Vl/jhbJNWe5G8PofBFIP+QXvXPuz4eBwmuBIisNZjfyqXyFR2bgM/MyD/IO8vm1BrJwApZEsSF2GtqkYMvGZPemFQLvBgBplJBvqVKqD8pp9BsmpjpEMNdaKfUm3i2OsBzMjGw38UcpteyOak8ku8MbvWObi73cy+Bxr+nI5YQfMtzbYnJxDMvulGq+eM1OV6c56/keVTFYRj7Weto+F+fJqLYpmAi4/YoP/dL5QNzJCoFmI0GOmp35UCedwjfevEgMv2UtisXuM96MXArNl7kdbzIsJiY7e7w1ta/PW7Np4n2sDSF6CnB01e5pGCHW9AO9fp2D6n3Vy7b43zfsYZNLhJCXF/XVmTi6ZtVEEg5E1qqj3qkNcqxrQ3b+OGTN16R29v4o4sPlQXs4MiXIV1VcFORCkZmrX7EtnmbTez5dI4tRkcF/D5gMtlC07VIk5vLCQIl/nSkAOZwYcSXE4+zHWZzAAKHA8etbK6B999fuYL5thmHqPLBcYBDoRA0NXOjMA/hF/aIp/2BsDabtti8g1NWFuu2DBWyf5Hq6RiKguZi2NwKjY9ZW7zJxOn8aLqZVd1OZ+a4vBvD4w8zUVZZZjC6K9H/C/uWRNVk2XPlosCzCbMlde/Zp6s1RjIJG2YyUcqW8GeeXYNC6jeP5BBtRlKWfMyGwbHbq3SdqRLz9i79HxB3uavC5TXa6jEvN+zlRYIjpU4z1vDuzalhKSisNVko0H1gG9BV7bXWM8ZjkhCcg9nnOYcY33bKZ+aKLH65CKkFbLLkeqJCnaidUTPUwvBH5kt62/La7IWs6JxAV4ocy1T3Z5Xh0pJQYiBG7L53hryzQ+AxFb37eOBC3MmF26bIaEXEXRmQcsyqygsT68g7+PfOO/epofGAeHUwcvz/MTUAmeG2i1Wmg2m1haWkKj0XjqNzicNfBwE58WL1xYW9Q6inaBf9QHIQ25Llhg58uuMQmgMqW4F5nFejkGugXzVZnuWjamOmQwUit2L19dXlGX28yTfUmQ06nDx4OWC4Yj5GSpZFqab2/gWp87K0Er5Vo9MJBXY2vRLh0lktVhimthvkwCMVvh/q4+9GRydfSwwszj9mP91fdgVK+juhcNjGpQVom5vjEZpBdlJIqaifn/Lubvc5D0afDeuAy8bO+THX+HojNZLpJwLIrmZ7pj/jJf2cLPwOaWlVMact/nytbxtXFZxKkBdSaTXR57ucDPgY4p6Mr1bvb5vZry7Vzk99uW7Breu4n3Xq/BlhbPux/SF+WH9vG+7m1aZnD3GM+7MSCxWiit9ruZ7FH0u7vJ63bZDD+bauT37Q3MBqm7biGVbKCQ2SCj0HcYmMHfpmXkk//m+J9RB4eTxMnEYpdJcTh3UIsZlP73BQzShZRZCQ0i2umiBm/bF1db32sA0SnIqWeOssUU6ILBW63kl0oM0nMVIGybg6r+oVcCoi25PszxNgcQPgVByT1pXRay4+e2rmLCINYYMIiWk9UZIzUjmy+bC60SlJkqLdcP1YAXHmAZAmAQ1I6S/Q0T5/r52qWgo6cp+/mTRwyo220OyUzl1uWk5mtqfFdOmC1QYjJ6Py6doUakLS6+ms1aLq7dcl1IbbryP+zkvZroUa+0Y9GyDmHG6zHWJ9FpDsxnZRgwc5F6zMbsXAQe9Y1YKBlTT5jMY+ln6xJ1J/du5DmNOsEqujIIU4mMZnpmKyQalx0xooMa77Ea4M2XR0qS8jnrFKwT7PFxEp39Dd6PrUvMSF23m91hiyVmU3IACEio/RwoiTX/UoX7bfZXZdBcy7LD6YAjKQ7nDjQY/Pz9T/6dZgzigE/J69sWtA/VWOYpi2FakDEA7hozEayWBeKAv1dPlWUx51LnW9UFtIpAXrSOmoRp9BULfg9GVjysLVbNwTXG0iVUjvnaUolZhn0Nkoq1uo5Uz1IfcG1+Djw4xsDVFaHocpGBctuSBOg+z2G5yOAMSEdSxA6kxoC+Gzr35ug1j7YUKzQLNGoypy62gLXj9kOx9U9N93H0flQQfOkMr/GjEzz31DN9ylq45iDXXU6snNTsAz/+CEnBUon36+pDIqJOeG13j/G4m5e5j+UidR0H6uZlMlpa/NZG3q8NbTHKk2uhTruA+etceZiEY8rj/utDloMme8DFszZssRLTZ0XnOq3rSNlL5v1MSVanvkwSrCMWvr3ePl8bl7nm5QJJXkcyaLWhTbyuDblv9Y7pRtyXjiLIAa/4HsDLHVlxeFbhSIrDGQvvbz/NDMaL9gPN/qn54xillo4fLU140raqU2Ynu/x3z2bg7q38w19IWRo4XCOxUbv4cmJBRb00lop8QgbEGEz+qzX7DIg6oVk1L6NBfxByHdo9FORcay5P9IWUhECNyO7aCjxvlgShH5hFu/qSRBm7br6zwUpPY32u4YX7rVSigfRrW6wkoxmgw1UGuUD0F/sadH8dJRNHExSFln4aA14HbWcOc55fJbaumcwDMv/J7c6bl/lZOFC3Scw/tO/YowxGoQMaR6EtxJPShTVqSb+hzbVecYRkMMy45l1j1pasnWGj+63J8EPNAK3vcL1f22KTjWPxfXn1Y9a99bcXs9zTKloZcF+DxPQiaUmfL/OzMlfhfR+EwL6qlRe1VLZpGXjpXu7jUG21RkuzbYUSr+9Ej59RJbIAj7l7jJ/fTcs8brMPXLC4sg5v7g+Bi+YcWXF4VuBIisMZCe/rtwNbxE/iwSngonl4kzf94Dvuh3ya1GBRTiyojHbrKF64n0+Y82X+ka7KE+jeBoNmkPH3mklZln17MPdZP2cg1Cfb2tDakLX80Q8sI5J6ZvuvVuvaTqvDAbW1+YF1PJ97N/I6VWObqDvV5ft6EYNeKZGWanAf6mmi0OPtr9sT/0Xz3G6pxHXsXGTgvuLIyXUDKbTzSWcaFVMjJ1pWCvDkoY21IYnajz9ybB3NyUDJTTFZe4K1ep8MA5rntYqiTwrMnK4bmZMuwGzNf38uu3zmy9y+mFpLeykB5urmgqzZrgvngUcn2TaceSx5XXOQn08VZWtrdDii1Ul86wzSkQiK50qnUTcy92A1CFSTw9FynQpvVQhejWmEpx1OnQLPK5e263UdeM2bHFFxeMbh/yBvft/73gfP8/Cud73rmNvcddddeNnLXobJyUmUy2Vccskl+MAHPrBqm9tvvx3XXXcdxsfHMT4+juuvvx5f//rXV21z0003wfO8Vf82bNjwgyzf4QyF9/XbGRy60sERZXyK3TW+ur326aCUUDy5Qdpch+ICejxsX7RSzUKJgaeSWHeHahRU46CD7AAGJ3WZXcmUBDb3RcW3YW7npn4cagpXEA+X9eI9MtFjENrYZmZi+yLw8t0cKLdzgeSknFiZZaZi32tWIxeCEPsMiuq5ofBF/KtzgVLPJi3Xh09uHVbsHmMX1K7xtX+f+lb2UcI1kDbbfmBdWiq0VQSZZbOeCvHRTHMEd2/lZOETxTAwoez6Dj8/Jbn3y0WOZ3hoituGGfDqx0lOtraoA9lfJ0EMMwb8uQoJx+i8o0tngZ94CPjJ7wO//E3gFbuYySiL7imXbFocMKM1X+bncEuLa9nfIIE7VCPRUA+ViZ5Ndx7v83M/1l9d9moXKM59cJrC2tkKz7Usxnx6vb+6hRkhnRj9/SngUA1e9p7VXV8ODqcYTzuTcs899+CjH/0orrzyyuNuV61W8fa3vx1XXnklqtUq7rrrLrz1rW9FtVrFW97yFgDAnXfeiTe84Q146UtfilKphFtuuQWvec1r8MADD2Dz5s0r+7rsssvwhS98YeXnIDjOHyOHsxeqDdEnu0LK4DVTsS6ZKGVXztOFnwN+Cvg+kIp3x0KZf5iPniYMMPjrQEPVh6zvMIAdqjGIeDlJQ31opZHRjMhAiEISAG2fJEFNwQAgEm1Ls8/9zFWs06JTsKnK2tI60QNe/gSv17J4fQQ5NTezFWY71IZ+pmrD7zYuc/uJHmfkfGc99RhbWgxiEz3zM+lFwJGCkYZSYlkVwLp1dHbN3iYDqGpZRluDAV6TgZxzlJk+ZVTfskJQjtK8aOfLMGCgfN7M6t8fqVIku67D7IhmkhTqujtX4bZHi3zXQpQBYwMgblv7ck8+A7qv0ZJTfcAylOKN37HvrzrE+9ALjeSMkj31MfnxR+ihou3bT4xZdmNdx4THD0+an4+2Lfcia88upEBB2phrQyvr1Ae874sl6wbTwYfFlJ/p2QrPrTokGdZBkkXJPJYSZpgunQU2LsNLf+/UlWQdHEbwtEhKu93GP/tn/wy33347br755uNue8011+Caa65Z+XnHjh34q7/6K3zpS19aISl//ud/vuo9t99+O/7Lf/kv+Lu/+zu88Y1vtMWGocuenA/wcpISLcP0Q/6hne7yj2mU2lPjBQsnNt9kLegf4dqQf4DVGj/1WObQcobqRS6asyfWZp/BvpDyD3gnAjYO7CkbWK0pUc3LctHEopnH42srcrsgVvpCzNShFhBCI6ShH3DYYJQCERhwAXvqP1I1zcveps2qaRdYxtjcYqZjqWjlpwUxSdu+yMCe+CQEk10GxrEey0pPjElwS+jmu1ww4e9MVQbq+dzXvgZJipa9akMZRyDXX9uQPTCnqz+nPu+3CocfljbxwzUSsEM1nt/Fc5b9+cpWnud0h+c12eU1e2SS5zQMrMOpErNksVTiPT0eitKZpG60m5d5jjNVktFFIWTfn2I55Kkw6i9zuCZuxUfpapaLNusnSo0w90LeC3VG1pLY+o4RlYJ8ThIhwerVU0xWiEuOm4DLAW/PB3jtwwyoHJbtZD07FkmMQyGSOi0aoC5HNVeHq7bGwzV462+SW3vTU18LB4cTwNMq97ztbW/D6173Olx//fUn/d5vfetbuPvuu/Hyl7/8mNt0u13EcYyJiYlVrz/yyCPYtGkTdu7ciZ//+Z/H448/ftxjDQYDtFqtVf8czmx4379N/BrkKXpU9zBftimyhdRaKfc0GWTvX2dBfRSaqTgaarDVLohrp/wx7kYcWLeyqJEn+vE+/5BrGQZgQNR2X/W6ULdVNWTTTEd9YN9rG24x4bpHSzI6WyjzTA+hGaTJ3mqR6joZvpd5PJ+dCxRPPjIJ3D/NYJhL5mJLi6WIunQgHZSyw2yFOpuvbTYPlp2Sqdq4zPNoF3icxRKfxB+eFD+VJl+LJOOlU5szjwHz/+xgKQHg+epTfimxMphmT5SgAKsHR7YLJHRbWtY988gEr+W3N9CILPPokzPZM/IyLXqi1Ofati3JpGPP7OSfCpuk+6YaM3i/9lFmSILMMkvLRbv/wxPM8I73mHUa/cwulMWYTzJUsxVuo+f++DiPoRmRVpG/74f83aEaz7U2tOnH6zprE/mJHt2TvVxasPsiYIZ1IF0yy+12LPL4OxZJ0DXDCfD/w3ifJaSlEkc2PPafTuwaODg8BU46k/KZz3wG3/zmN3HPPfec1Pu2bNmCmZkZJEmCm266CW9+85uPue273/1ubN68eRUJevGLX4w77rgDF198MQ4fPoybb74ZL33pS/HAAw9gcnJyzf28733vw3ve856TWqfD6YP3/dv4x3K2IoPTPHsaBPjHc6rLJ7xyDPTFs6RVtK6Lx8eoFzlY4x/MiljSr+vwD2k5Npv66hDoVvmH3YNZzG9b4rbaLjyKIGPKX70xlEQ1+wyoqofwcyCWDMuEzE9R87Rm38pWgGRVwKBcl8GEw0AG0kF8XSJrf44yPAk6UfeJMYphlTQoydGncZ2s/LwZEo7vrrfyTSWzAYBHqlx7QwLhbIVkpSSZo8QnAVGnVn3yL6Q2SG9jm5kc9Z357npmLqJMRMSeCYczrG5RLqZ8fbbC9aQ+yYk6ph6os8xVlPWM9xlANaD70jnUKfEccnD7zON5aEnrRCZeA8zGbF9c/dpET2bgxGzlXiixxKZZs2NNbV4uMgOln+3DVX6uByGvuYpuO+IV85x5Ek0dpdAqWuuxZuKGAUsvNTn3teYzyedvRUOiPLws2w5CE+UCMipC5iepCDeUbFRdsmJNyR7qCIj9da4/DuA99ilgrI/8Rb98YtfYwWENnBRJ2bt3L975znfi85//PEqlpxAbHoUvfelLaLfb+OpXv4p3v/vdeM5znoM3vOENT9rulltuwV/8xV/gzjvvXHWM1772tSvfX3HFFXjJS16CCy+8EJ/85CfxG7/xG2se88Ybb1z1u1arha1bt57Uuh2eRYz1+WSvT2nqsQHwD/JEz0oXJTH+OlDnH/GDdfGDaPAP7VTXZu/0Im730BSfLsf68nvJXCwXTAeT+BQijvUZdI4mKQDLRA9N8Unzojm+N0rliVrMuUY1G3Fg1usqsNW0PGDERs25opTBRm30l0r8fhgAnre67fX+dbwOpYRi2ktnmRE5XGNnUqvI1mPArlsh5XV4cIrBe7LL9SVSXliQTpJc/DmUVDw6KXb7Eqg8MODqxOdOwYSwQc6v7RrvT5iJGDSx4YSjBEF1FkoWR7t9LpuxMonOxhkVHl9xWBxhRbOiXVjfm+Z2Ov5A3Vknu0/t9Hsi2NLiv8zjsaLMnHD7IYP++Ii+J/H5WRwE4hwsnVbjfZK5UAiwDry8/Ihlx7QMtmlZTOMaJCLNlGW3UMSuOoRSkXvMdC2Un1zaOtrrppisvi5qzR/kXJN+Pg/UuXZfMjDqjDszQijDjGXJSgxv+X3AA9PIf+jYD6YODsfCSZGUe++9F0eOHMELXvCCldfSNMUXv/hF3HbbbRgMBscUs+7cuRMACcbhw4dx0003PYmk3HrrrXjve9+LL3zhCyckyL3iiivwyCOPHHObYrGIYrF4oqfncBrhffuPgGKJfxgXSwB8wJMgrYLPbgQU5OlZBabLBRPYLjLVjLGemVUtlGmqNZAyTDVmsN/bBGpige6B+6jEJnp9YB2D4O6xJz9B/8RDzFgMxCVUSwu1IY/Ricya3pc/8EHGDM8oRk3Ygnx150oimoxhYBoWTeMvlHh8LY3Ml/l1qUh7/41tE8BO9GwC8FjfMhF6DSd6wAsO8qsahO0eY3apH5q4MvZZ3inHFqxUM1IdkhQF8oStg+86ck1nKsxyXCBt08drXdZSX+wD961nkNfAu69Bgri5xftaTkwYG6X8Ny1mZ/UBMLue51hKjDCoBfzT0TEpwVQ8McbzX5D29IvnmBVJfLZRq4C4MeDaUn/14MFSImZyRb6u93Gyx7UervF1rUips2xjYNm4+pCdYeXYyKtmwxKfa1CTOM2QPDpBInX053otaHt2qwL4A2u5L6QktkpqVOy9sW3ic9XDiEOz9/efRP7KN538dXc4r3FSJOVVr3oV7rvvvlWv3XDDDbjkkkvwW7/1WyfcbZPnOQaD1anQ97///bj55pvxuc99Dtdee+1T7mMwGODBBx/Eddddd+In4HDmQv099tfl+4R1+ULCP8KZB4SS6chEy6FPbDNV/vGMJYikPv/Ab5R6/CHJa2ce/+j3Iv7xbUmZQ91jE1+G2YlGZbrD7w/XmHkZDa5jfSuLqKeGim51LtDo4EHAunxGoVkjL7cMA2B/5JEZGVKR72zFXE81i5N6PM9ZIQSjQVjJSilhYN01zuzGc+d4fsOAX7e0mIkAGGxLCc+9VeTatLtpvA9ctpfZgz1Nbj/eY1alEjN4jffo//HEGDAo8z06bbgxOHYpRKFGaXptH5zi3JxORKHo8w+SJKmD7oXzplfSe7Oxzde0+6o24PU8VLPOmvE+r/nRZm9HzyUCeJ+6EadUq+aoPuQMoE3LLKElvpQBc9MkHa5KaSoxt95yzM9rOaEYWAdHbmjzvh+qmUZJt1+ZBQVe4750fulwxsUSs2gzVcvGNAb8/zRfBgpNruH7U/x/sW3pxMtd6suj4wK0M2qhzHude7zeif/ke6tmegfq8L72MbrWuhKQwwnipEhKvV7H5Zdfvuq1arWKycnJlddvvPFG7N+/H3fccQcA4EMf+hC2bduGSy65BAB9U2699Va84x3vWNnHLbfcgt/+7d/Gpz/9aezYsQOHDh0CANRqNdRqDDC/+Zu/iZ/4iZ/Atm3bcOTIEdx8881otVp405scMz/b4X31Y8A6ecIf71npQE3UigOgLPX7jqSTIxG4lhP+kQZkMvCS2b4fqrEjSIPiUkkyMrCsylLRRJsd3+aYeDmDaimxDENzxDBr9xiDgpKj7Ys2oE7FsiteKTnXezRByb3VBlxHZxiC3NLnXkaZez+kaLUX2VA+L5fMgsx+CbPVnSZ7m+Ig61FcOV8Gtor2QMlZu/D/Z+9Pw2Rbs7MwcO29Y8eOecjI8cz3njvfW3OVqlRSFRoKMclg3GrbAgMGhAoMsgBjUNHQKtxlJIRAgEGiJYNtqRncrablB5tBSFCtKpVqnu48nDnPyTkz5ogde/KPd71n7cyTZ6rxnrqxniefczIyYg/f/uJb61vrfd+FQGyiuIRTfVW5FdxfksPgPL2N++T7A80uXGlqFkS1XJZGVq46rn/N7WyjBuffVPVezgdiMkgxXm/gnBMfz5oN+04OMJcKqcipHj5PBtQNFVMLEgRYX14x5de8FRVjsVFHmYTljkqEgKgc23P+7su4ji+vIPgLEs2Y5Ep1kwICwWkBY1fXLF+iaZJyhGOywzMzh44gmGIAzuCG2BP2P/ITAIh3qsjGVDRjWJ2JJJ6VC3crOH8lwpgxwGEJ8m7mZfa8M8cyLceVRUVwj60p5igByDsVcT7zCyJLI8nO/dl7nxdze0Pa11xxdmNjQ65evXrz9zRN5UMf+pBcunRJCoWCnD9/Xn7yJ39SPvjBD958z8/+7M/KbDaTH/iBHzh0rB//8R+XD3/4wyIisr6+Lj/4gz8ou7u7srS0JO95z3vkk5/8pJw9e/ZrfQtz+0YbU/arQ5Mb7ygosahYD5YZfAVVMivRUjDsIFDMhuBndYjjXGlih3exbRTLZmiCV43QPtsIDRzIcgixKjMP18FFmU35Is/YI75mP+rh4e6+Isc3wbvTLjZzIDTH4CJxLBsxKOYa9gnArMRd1GfYIddncOJuZrRdEdzXe9ZBsQ49U5c917VOwUEisthFBoe4ECcD9qFbMWwHe77Q2NCPuAURY/Hcj1GOfasKpzgo2g6+puW4Fb3/Ky0rOZw/wH3UQwvYXBEpzzCGDGYe2zNFYFLY9yoWcC2N8PnNOsboC2sIyBhoPbl7+Hr3KqY0W1Ds1CDAdVE3h2NLFhCBuwclE4ibKR4p0LIQRfQcMZ2U0MPxOLbUPxHB9+jRfWS49vQc15oIKtnmYKZ4GIK4N2sIwvsBBAHzFOnjjHM2dk0E0NFSJbMruxWUlA5KGP+1gerzDBHM1GYIGh0R57mfFbnalOx3/8H7myNze8OYk2XZHVbKby27n/bQc/vGmTP4CeAdyBQRMcfWnmB3SDzBWBd9AhAZmFAxldTkILaSCTvWiuDv26pxEXqGV4gU1Lgwwf8pZT9RR/2wUluPw1Mw05CJSY+LKDYhu/eU+lGLXThAXs+JAY7/8TPaOyi3+w0LcEyVCNfanIps1wCuvNKCg+WuvhZC3n6zpp2FVfKcMuzsVXO9rhTYMsZxv4xx/Y9fsvG8qR4ruM8bdTjGyLXuy47g/0fLJ3eyZ1dMyt3V0gnVfgdFBGLDIoJPZiTO9HDvHPMDFbV7csdaA+xU4EzZK+hMD9fMYO2xvcMicdeaON/a8LB8furg+eSzD4liQDIdK2rTOIKgh4wttgFYGyAQOShptiwXAAyU3VOORZaHKH0ye8KsBbMoR+fkf3hIO3inKP+0ppi79RDzqUKMkwZAmeD798QuslAn+xZUUyTuOCO2hcq2tBeWcP8TH8EQNWvKkQHWdyqYsytD/N6aSrbyF+59fsztgbb78cVf80zK3OZ23/aZEyqMlmJxq4VWr6djpBAY/X3sWGBSig2PwFS3l5pMfaS70klBBdQiY5Kw3r/ThH5IKYbT8hNriNctIQAYKm6Dmio0PxHxFNjq57IGR8s792PUDBGxhnoicGSxizEq6GAsj6Aa2wyRzbheR3kkiPF7vvQzCPB3RxCUrAxFChX7O8s1V5umXEo6byk2EG/+/bRYwa7MFFQikX2ld6838O9x1NijNlbqbXOKIKoSWYfe63UTz9urWKdeZtA26kbjrs2QGdip4hgMlFjiOzHA/eyVMV5uhsxbPkhh9mSnevgaKcp36JmJBaxBbPMz0mwYs2LFxBpRlmLDcGQOrmWm5ZlGiO9AKzQwNrFbx7GT+gECz36Ae9+qanAQI8Darah6sY5vRctSvRJo6w8f3KrCe7sA5eVFXOtbN29VZ35qB/MnSPDcCaimyN9Awb/VoWYwxyK9kjhbPyfSnkp2+s/dfm7M7Q1n8yBlbt98q83AfOkrrbGQQbI+EyzK5cjk6DsTBBFc2N3MhM+aUwQUiSPiOkZjJb6EypiBHrsleH/mWEDSVqG0rerNHZ50Jvjs8ghZGD+9FUjrZiKRY714+oF1q/1q6K4MCFg+uqbBQ+yKnN7HNT50YOWn2IVj2C8j8Lve0LYCnpVCHtUgjpTTE0NjYmR67RzLqZ6X2aa37FljPBGjTIvAKVciaJ48vY0x+oRS/r3MQMVHQaoicK7dEt63MkRwQU0YPrvEwflKIbIkO4q/qUbWGPHkAAGHCJ7V+X2Af8c+nu/qEA60H+DfZ7bhoNmI0UuPv8alEc75pRWwoXYqmEfsBcVnVA8tk8KWCLsVHHdpjKCRZbRMTMl1WjCG2cTHnGWvINK+l0c4HgPQo3axbfOOwNmzXQQSV1qWhRJBQOulkM1nwL5ZszLUUXttQaX8VYV2aWxZs3poAGd+55ZHuG/OI3aTJqbMSUw5d9g2/ZcgEec3/ieR7apkP/Cf3nodc3vD2TxImds335i9WBsokFOzCJ2J6U30AqPpUgOFOiKUVvdT6/nDv3U1lZ4JHF2m9Xg2zFsZYldM1dNhEQs4nRZBi+UIu/rW1JzLUcs7DjryryZAycSE3JixuKap0bGWL57ctYxL5IEFk2gqf+wj2CJ2Z1KwDAPt6E555pki66BonXxLms1aO5IJOerQHtmH+itxRmsDkfWmSDGyfjRv30Cw8NoCni3ZL6ljYFteVyWy3T6zAMyUhAWR5giOeOKbUu1+CYEumT3s00PWS69k1O3fOo1y0Kk+nH9b9WJ2qiLPLuNaD8qmpbM8gtJtpKXCBc1QlGKbh/UQ8zXRct3CBCWUzMF72bGYJc1Ig5vUscyDnyLgChSrslfBZ6qz24NUH9vDPbkZAhZmG681TQOHOis9ZVqx1USoweZHz4m8ZeswNuWlRXw/OxMLkGYKvI5cA55faeKa3cQo/5xPPQ38WCZLHZELbdxnTbMszNbVgRFyfv0XJfveP3z8vc7tDWPzIGVu33xLHSy8lIbnLo9KqU4mUnUNVHujjjo3d4ulCItvT3eRZO0kLpzK4hgOmxRYlnwY8BCIO/aR3t+rmPbKqx0snFXV/xgUkXn4epuTWTPBsaqQEpjLe9is4bV3Xcdrw6Kpsr62YKJnj+5j579Txa79atNk9SnYRrwFMRatqY1R7Fq5ojG99TrHvshnTgJbcbaHMSXFl6BPEUv5H2h55WIbn+c1ZAJnOQiQASE1u6rAVhEDP7sxpP87YwQP1xq4p50K7i/TkgubAXqaTQs9nCt1MMeqERwoS0jX6zZfLrUx/8Y+jleb4TwcZ2JEqGFzUDJZ+Ylmu1aGyIgkmu1j5icfvFIEjpTlzEF2LP8eJ7PyUfk2gS+zhL3AuodT4+ZG3boqk6LN7FnimC5PZ4KgZL2B7xQzIJ2JZu96pv9DZd+rTWOz8VmTIbZfVvqz6httV0TG2n9rcYxnwvIVKfvcPPQDcdb/NgLj3cocs/IGtXmQMrfXhwWJAS2ZdvdC66VTiuEE2CyNuIXazNRNgwQOrjpT2qPgddJzb6qVRqZAuqs71JEyZZ5bxu6SzjdPz2Qjt/tlq3ylxkW/M4HzfHYZ10FsgyNwAOsNOK4TuvNeHgEXcKNuoM3H9gCO3FVFUwYpTnYYEEqjMNqrHZO8j1xgPo52n2amK1PHv1HDdZGlU59BDTdIRF5rA2NxpakBV66cRXiLp5kAiqexbEKA78rImu3RznXtfmbKLiK2QwTPN9DMx07V5Ph9DYTYOoHBxxdXDX/TDOFcRz7mT31mYNFiap9vK9V2o45jE6w80M9EylCaHCkB5ntGFVJkn/Llpn6ADEUvQDavV8IcjzyUq+paqhwrTTtUUbXTfQRtFIWj0q2vFOwTA8yrTDMrbEcw9PH7yLdgL3UwPgQds8x3qY1gY7di2JT1BsagmCCI7JYwXl9YxbMjxupqE8+UbSjKqgVUVcbSVQUtn0IQ53zu5yV7xw/f77dobg+4zYOUuX3z7VQfuz46o8QREf23IJY9KKTWTbcfYEcaeSIpyz6CRZWsmqGPRZcBx8Q3qidLA+w+XIlQFmBTu16A4CZQnRQ3E3nnDWQivhaS6vdiXiriuEZrdQT3wR4vTLe/tgBhtqMlqBODw5gYqsF2JshMUKDrqPUDOMKrTZPuf2Qf4/4bZ+F03r5h729PELiMivj3WgPZJlKUz/YUyFkTWZyYSN5OFY4pcUWKOdr2yDdp/SjB79xhE1cxCA4HKXkhvNUhgiOOV+JaCdBPRb79Gpzoi4tWgmDH37M9fLan1OCdqomnne2ivHahjWNT9ZYYDHYfjlzMTTKTiDdhr6A7qd1mgs9cbmEerrCcVcA5z3VNRJAlFs6VfsnGScQCtNbEWiIQn9MZY45Tsj91RBKlE58/wBzg94VaPKGn7LvI8F2+bgxSxQs9u2KBH0tqLHvNPASfzSlKfHsVC0aIHeOY71SQKXzzFt63NBapRuJ86R+KNKdzfZU3kM2DlLl9862jdf3QM/GuIBKZ+SKiGRaCIZm+XhwjiAk9kbqmmEuxSYjPPJHVkUqQe8bwGPrYyddVE+VyC868WzJHRYaFIyKVHHsl8m5lMtzJjvZG2ardG7slb/myBLELmQAQyyZ0Y18zLmOMC42KvLSxj+O8uoD7/vZrAFQ6GXbktF89b0DXZmgMmmsNjNPzy4eDlEGAYOhs15gckQtnRFbORCnS5RjPY3VoJYexbxmiaQHH43U3p4aPGPu5tgOxAaj5jEsZdvZVFYLb0OxJR5tSftt13Gtngn5ApUiDEMfE/4oJApjYFVmE8NjN+3tasxbVmomuNUIEPqR/exnONSpaRm9YRLnD1yDpWhOBnZsdVmddmOA6vrCGceTvr3ZsLEWsfNUZWsdu0q4rGZ7DlZbpxexRLyYCK+dMD3P+Rl0kzmVwqpE9i3NdC9j5LNhbqDnF95XdqSMP9xPEuDcvtc9fr6tw4gzBz+WWbRjaEwteZx6yV2/dxNyphzjHsIjrfHLXQL+FFGWg7apkbze9rbl9a9o8SJnbN9+cDI5ovYFFnLsqlnVSTTk3lYpZSOEEijGcHbMwYx/Ooj7DAhgrjmVYtKxBQwOUXsn0U9jUkDtKLqqxZyqfC5PDqqmxa03xNmtYqE/2sahv1OHQt6u45nfeUACq7ki/tGpqtY/sW5PC4yzfVZj3VInQVI/1/kYIsCNp2swMzDycg2WIsop3ZYJyAJVRR+ponEzkxSUEe2SY0BmvDTGu5fhWsGw9FHnHDfy/r2JlG3XsgosJxvJ6A07nxEDEFwtImIlYmOCzM2UrsdcOnZ2IdcfulvBMP3MC49eaWnbieh33W9Tg9lQf17tfRiDHVgKZiHzvJdxvPcQYnN9HANYPkGUguLQRYpw+eco6Og+KmG+7FdwnAakT3zpiO7kMEJvv1WZwumEBJTA2EaT8fW0m8rYNfJ6Yo5UhApSNOua3l1opauwrKFrZSwTZeqmCxTWb1QswP7/jKgIF3hefg5sZBmxHA5NTfYx3oNmNlo7rKx37jAjmx8k+sj436rj27Sqye80QQQhl/sc+gsPYFammIi938J5eCWNyuYVAe22I159fNg2WbsnYTamIeNk8s/IGsHmQMrdvvlGsrRop+yKwnXw1MmBfKbYW974umJEufOyYXIqtj0l7ilJI7GLBq4dYaEMNQghGDWKk7mMHv5di7DyZzq7NjK1CK6SWGelM4BDWGwAdblfhNBIH53l22ZhFF9tWz3czvP9qE5kJ0jjzlrgm/uUpSHNxjHOuDnGcfIDDEse0oJTqKRwN+xNlDnAUA9UFeWYbDuRqE8HBua7piDiijlOd9HYDY3K6Z9kHlpJ2qrg3Mj8Wx9qHaYZz7aqq6crIWFiP7x3Gw3ziNAKhp3ZulWjvlVRfZKoYkSoc4qU2MgfUHalEOB9xD6TX5rViaGygeKGNvxNDsVMRef8VBEJUin3owOjUVCB+bA/BQyO00mDqWAuGYmL06CDB80q0PPfCEnAuT+0gU3OjBsdcSDF2V5sKXp7hfJ9fw1wpxTjmwgTPJHGBYVnQEl45wnE7E/ztpY71zukHGF+2W8gE8/egBMzLi4v4jjDIDBLMY6rUxo5IWMSYMyAOYtznrpZnbtStvPayiLzrBq7vWhPnf2bbMl/PLWMesennzMP1sRv5IMAzenwXAfNuBWPT0GziNMFcmBTEufYzc32Vb1GbBylz++Yb275TytvLjDUxKVjdvKggUifDAsb6PzvbihgddFqAc6G0/kB3fd2c83Ay6ICwp0/iwoFT/MoRy0wchyPIBH10hgpYpFMr5Ha6ri6uqYN78xWXIErbZA+if/+QyA+8cCsoN9Bdf6yYi4pmMY6WCmiTAu6ZaroUf6MS7UZsdOvdCpwsAchuBofFICpW57RXgfMgaPKJXYxbSQOJYdEclK/OeEX1SGZlkT3HejFFyniJNSNSCIx+uzAxnZkbdRyHu/X9MgLFbglZNydDN2oyc6hHQrpxpE4v8kQqitFg/x0Kij2/LPL8Ep576iBIWByjbUA5EnlhGZmazRru+73XcH5eE9WMRXAPxHwwWCprgO04yHzRznaRTfv8Ghx+L8Bce20BY+tmwMYsKJZkUrDWDeXYsB4j33ovNac4/3oDgNmJj7HZrgL/8R3XoPHiK0iXDt8bG3C8NsN1tBWnc6mF79tWVRsqegjguiVcc+yKvG0Tv7P8mAm+W36C19lTaWUIleNKhPvplQxQW51hfmSCQCl2Rd53Fb8/dIDnOfYR0HET8tqClgW7N7FWzqW/KzLyJXvmv7rjcjO3B8vmQcrcvvnmq+NdGxpN009EUl2EE9VdiF1L1XupsTfqM8uwLI2xoI58E3Zjp+ODEs4TqrNisLIjJpDG7AnT2Z6yNo6z1SGc6dUmnDad3VTZFVSt3a3A0S8q04G6EOVIRHhPDnabIiKfOomsyvdcwu+8Vvav8VKjeh41lka87Phuw2sD6Jhwh+8pziB2lTXj47r66oRODOAAWWrbrsKp5LM3LCn4urN90zbS+DfqeB6RgqCXxgaYrM6spBK1tE1BAdfHnjD5AK81RRD7qh73LZuSyYdFyrgE5+P/2OjGyyM8azaRZMC4WTMQ8g3N8jy9Y461EZqGx7iIjNGoaGJrC4ojubBg4monBwhQGBSLWCPMU32M49EsnAjE9x46MA2brSqwIqkDB04cDksl7FbtZMh2sWQUeRYcrA4N6MoANBOMO7NGzRBg7NADlqU2s0xQ6iA4Zz+kaoS/v7qAv728iPlAptWZnl1XNzDaOYHu3RICo1N9vD9xca4nd/AcFyYIgp7aEfn0SXxG43c5qQFpP0BJ7vy+tRDYrlrpjCDypuJvGqE4r/09kUI6LwF9i9g8SJnbN99WhrYbr86ULqo76uoMi1OvZGwJ0o5ZwohckVlBZKwlHz+1Zm2RvscRo4Imjtb2MzjJup5jos4l1VLI6hBOanqHr8nVJq47dvH+WAGSLN2sDm0XTJxHJhbMOGJYlb0y8CulGNd4pYVdtwiuJ9+pNiygLn8Uy5I6hqNxBE6MXXgLqbFCiPu5UbfuysTvjFgumYksjgBaTB1kHvbLcNInBgosVs2PpZHIWhn3luQwMQwMWlO871TfMB5+ip1/WBDZUbBlWDDsz3ZVO/lGVhbS/j+ZfPjwfa8NUbapzZCNWB6hnHClift6egfB5qCI8WFAsFcxTR12zx75htXgeDL4Sx2jEp/pwSl7Ge4vn8HqTOz/kwLG7FzXMnLrDcV8eCKbgUng5xlaBBvz3vfLCIoqGmBmYn+rES80xnmrM3x+aYy/rTeMTs/vCPFUDOKZ0SQTKXMM+DrQION6HedphBjjFxeRubnWtODO0znuZdaA8/e8inG72rR+P4MiMkyVCCDuTWUePbZnc+ZaEwFKIzRF6sf2LHgb+wbOnnlgiWkJyRn+dclqf/n23925PRA2D1Lm9s23acF2RiJwgMSZsC5N8CedBdk3fE8xQaDCzAudcuYcFvNiup8lJK1p33SGE2XKxK4FOwRQHjUulMMiHPNOxXalvcDKB2/dxPv7gaXumUlxM5FIWQu1Ga7rdA/H9NPjzytimJajVkhVgEuZOcy4JC4wDdSFmXmmxtucmnOMXFOAfeeGyK6mKlh+GxWxCy4qBbU9wXhSv2aijCk+08g19hb751xYwPsp+35QRkBysS1yqmcMkGqE6zpORl/NYbByqmCy8YmDQOWpHZQFSF1vTzDmxNMQ3+Mqi2VdNUMiD6DscmxZo8TBcS62ce+n+5iTLDMmrmXOiEvJxATLznURKHSUgs3synPLJkZ4lEJeTHGegmaoZh4yTWEB41eNcM/NKdpKXGsAUzMIMBfPdhFEbevzfHoH87IquC9iR4Zly+ZtV5GRPChZ52xmlxjczjxsLMoRgsZrDVw75yMVek/1Rf7As5YJE8FrV5sABx96kNmt+jssH15uAZyczwyOfZzDEev2fLPU5+L+lmbiXPh7Ihs1yb7zj912Ds3t9W3zIGVu33yjoill7N0iHC1331SzHBVtsWOtPixow79MJBI4vUzgSBLXNCqojUJaLqnBgQpbcQdZRGkp+33/uYiIONd+EbvxF5fg5KijcaaX68/iIEAaCBbTTQ1eNuoiv/YwMA6P7AP/0A/QyZmZIN57dWZ4DJE7a2mIHB+giGDRZvo7z8Kh+qsIslLDogna9QI4UF6PiAl/ndKM0Ng3inE/QIDGzMvi2M7VLVmaPnXgPAspgLUMMM/v43PlGJmCzlj1MSoiQz32tIAg5ultPOcj1O+bwUl+PAjmZIArol2fZ3CoBFlzHIqquUJ14VDLQ4tjww5RW4WZJ7Jwnti5VZCtpjo021WTi18dWrbjKHh3qLoyVFo9ahR5O9B5tjaw4KZVsfmdlkV2XBPqO9kXCTQ7lGk241wXx7nSBJiVlF9mhep93Pe1hgGbqQBNAcOwILKo4PaJj+D7rZsi//RNNkYU/fu+C3h+ZG/l7UzvsK7N2L+V2n9QxjzI9BmymeR6w8aKLQs2qxjLs10TfuxquS8TET8VZ/jXRWqzWzNwc3vd2zxImds33bLFvyjO4O/CsRVS6+GxUzWtCBHbrSVKi+RCWorw2qCI9DYzHwQWTgumSDvyjTGUpzQTgDstWC8cEXPmoaa8N+pwmi93rAwQe1ZeutQ2pdXWVKTkA2PyxC4W7Ef3sLsPEnPkIkZNfdM27pOg2/u1SQEBU2FigVjmGHOD2RDqYUSusaSuNuHASzGa6K0Mca2XWnAGtZlRjberKEcNAtPoYBDAAPJcF+euh9AoIZU01edLPQ0RiIARFLlVVfGxCFiFYRElp6URng2Pc9y9V6LDf6fs/WYNc4OlDUrj83m3JwbaPpqlInaHomTvvXZ7yvi0AGf6+TX8ztKVn1p/IWaZVkbH9+HJC/CVY5E0RBaM7BeWpbxUpFvFa1RjTlyIujHILce4r8RFRmZlhHv99Ekr4TC76GY2L+uhyGO7Ik/s4Vj/+2MIfr7vgskC0N53VeRjZ7SMV8DxTwzw/Vpv4Pej2bB81igfoJC+PC1gHoggqOmWEMwGsTVdDAvIbI18XPfCBM96pJsNCiASoC4IbueByoNl8yBlbq8Lyx76URERcZ79OW2sl2Bxo5iZI9bzZKjlEeqU7FWszwx3UhPfOsq6mQFuS6qGGROAqunrQDMvKtjm/PL/G4vzSdXvKEeGKXEEQU7miEw8A+rS6b3/CgKOt21g0dytAKTY1cV/ZWSpdKpszjykqrl430uAMinc6ix3K6YSm39tp4pFvjKz4yeulWB2K7i/sW9g2fUGgofYRYDwUC4dvzxCueOzJ6xERezCbgXBx+LYQMR5ETs+t7zx2MOigWYdMZG9z5wwPZW3bd7q3P0EGa3M0W7JrgE1g9jwDAfKihHBvRM7VInMWU4KuV5FSm1mibCt5RoyoFLHFFI5ZxfHyHg8t4yAYVIwzESQmDDbcd2GX+1gTJ/cQZbC0Qzi0hjX/WsP43NP7aDEkTjWq4fZEhE8682ais1p0LU4wfk/ewLPenWIZ0XacXVm37d3Xz8c7P3RL9j/Kxr40U73RL7rspU6PR0nV3IqtXexS21givh8zh+YRhC7YIscVlGeFvB60b2ZAUV38ynGohIB9MvAdxnlRaf/EyKvLcyF4B4Qmwcpc3tdWfamP3Xz/86zP6cqmoojKOhulA5kpFokxcTE0ZjqpxAcS0aRh90mwZ4rI7wv9OD4miFAgV6KAGaiZYHdCs5LwORYA5VUQa8F1RypzXCus138nTX35hQ9S55bNvn90EOZo6q7fjaFe2zv1gFh75vj2DzH7eYdMWdIo6Mi5oXAUDaJa2u2qjk1xtS0gHPvVjC+LInkzU9wn0y/U0+mPkOZ5qjWiYiW51Jz0JMCSjyLY4ybnwKDsDzCM92r2LMMC8B0fOwMnNDa0JRbo5wznGrGwhGRSM+TD2BJL3cyw73QhkXLQsQatJLWTZzRlRaujbgeUrcnPq7rVB//tqZW9klcZYulOGavZGWeDZ13l1soK/qJyMfOWlBeUsBxrJmckQ/HTQqvrwFKKTZMDqnzN+qKX5nhuvfLKtCWoOw2UlbcLME9rg1QmiR2J6+YfFA2IHsmmjXT7xqVd1eHFshHrtGa72RhAd8R4sxSPe+JAb43jhjIOlDcDynqz2wjWCvF+P5u1ZC1C7Tkw8wgZfnbqhezOhSn95PAqzzxZ+5ygXP7Zto8SJnb69ayN/0pcZ77WXO6e2U4AtJXSzEWHToZYiyYribYj0qXC5qZqc+03q8B0MjHAsiAhH1OnMwyMUFsZSA20gsLIq5SV9lp9mzP+p6QmfNdl/Hz0XM4/wtLuL6Tfcso1GbW9G+rZgyLPd0Znz84vjRwnB2V7w9iBECvdmwMqUGzMLHshRPgc4k6MdJTE8V5fOYEevI8vW1BxlEsxcMHcLoEoF6vA/zJZ0TBM+rZZI51OxbB+5bGCFqeW0YA2J7gtet1lK0YqL7SQVYliI1xMlbq+aRgWQtfwbf5Xj/HjdlWFWWVhw/w0wiRjbjewBx5/xW895feIvLcEq6jH+C957rIbjRC63PDwJW2UwUQ+WrTQKJfWAMO5HQfY0LszLCIktH3XlQ2m87Ld68jE7JfxnuJhZn4+OExBoHK3rsIyFkaYafqc11VKt5UkHYZY7o8wljHrkhBny3HMnGsazEDZC+1zOZEsValWMTVDQVbINzJtrWskymjLNH5Ebvas0fv/2rTRPryDLr2BK+tN1BOXRyrJEFs3cupkbNRs7JZC9oyzvrfFhn7kj32I3e+zrl9U2wepMztdW0UZnJe/R/wgqdMjaKm2vdVUyNxsFg3Q1M7ZQrfcwycGSo+pVeyz6WO9QGqKcDUT9AtOVQa6IFSoNsTwxYkrtFM14ZwaL/+EOTWz/Ru3Yme7Yl8/AzO91AXr3GH3A/gIB/dN90Spq+nhbsDaWkMBo6WEvYqAE3eFDRzDVBMTZStmgmxrTc0Ve+ac9+sAQh7tYnP9AP87SggtKxp9q0ansNbthCw0WE7YiySs93D11pIscPfrMERnurDyQaxgXspg//iosjn1gzvkokp27YnoOseZczcnFiOyf5v1iCudrkFSmwxsVIatUfywcZ/8WWcZ2mE+3hpUbMPOac+00CDuiUieD8zL68tYP680lGV2KoFxYnieBpTBF3sx5Q5CABZxmRWgTTpQdHYSBfbeM/aAAHJlaZhva40LTBkUN0IlaY9QYAz8k1okIwhGsenHyDIFTGROLKciKnaL2Mei1jQPixiPp7sW2aI4+OIgaCDRKSu31u2nji/j7HvBSgRLY2Q4RkWcZ+TAgDqTd0EkHI90s3NzDNGH2X2NfvoXP0Zyc78uePny9y+aTYPUub2QFj2KHY5TvgR07XoBVjcKbo2VH0TCnPtVG3HfqanDCDX6u6FHCbFc7C4UzbcS7EwtiYIGvYqWMAPyqYAy5Q6NV5aU3z2SyuqseIfDi4mitl4/xWkqJdHRgPdq2Bxn/hg/7RCnI8L6b9+BLvvJ3cPBz5HjaJq+fcMiwBKTjQoK8dwOuzQO/bxGnVYajO8v61y6p0JnI2IlVEYuBy9lKHSQtcb1svm5Q6c5soQOIvENSGyURHHbITGyNpQvM6TSpl1BeNWijE2sYuAgpTUTMHA7DA81dLPc8u4XyqV0qYFaL4wg3bzGqbYuZ/qHwZPHwV9steU6DhwLFiuEMG9ZA6CEVKY2Syvoho2F9sYv0qEv7G8QzDxM1oyW2+YNH9njM95qWmMXGybCmwjxDhvVzEWoyKwHuXYMDjPL+Hen1vGd6ASwXEz+0baMvV7uiVcG4P8iI7et7YSsYvvUpIDa0cuAqKrLQRLV5o433oD93v+wDqapw6ujcEpdWqcDM9jt4KA6EwP8/JaA8/AS3Hccoz7Jq4qdnEPnTGug2WoVQ3C6jN8BxtTfA/0/c7F/1kk8iT77X/o9t+xuX1DbR6kzO3Bsut1LCqTggE/uSB6mfUA8VOk+ok54GcoerVbEZnojo86GgsTSy/vVeAkPn7GBONEUBI41zWqKT9fTER+52sIJEbF47sdP7WDv7+wZCqhlHmnKit78lRnRqUkIPeVDv7PjsXE3+xW8Psp3TkedcifOG0Zn9TBDpXZlLo6iciFk6BmSKRAXj+BE3Qzxd8EyCwVNM1PRgV1Rcox7u9sF7t+ZhSKiQl+FZVB0ppaMLVbwe8DxVoclMGiYUq/WzLFUWaeRExd9UwPx9rXe7ratD4y15p4NmTMXG+gn1IztGebOggMGYzdLgNzO0tcyzBErsikrHLxdQOzsq1ANUJGwEut4/KkYLgcCgkuaJC6UwXDyslwn2/fwDi8toD31WeYl5faKMWNfcz9nSr+JeX+dB9jcGJoDCuCkYdFa6GQauZxWLSu45FrInKcX2sDu39mw1zFIVF8sBZpc8ypse68DGOxVUXQOSXDzsM8ZTmPWDJiiZ7awTVlgnFghtHNkI0aKW5pQbV79nTeUXK/ylJmbMJ1fcUGjX0rW9Vm4nzqfxQRkezdP3R/82BuX3ObBylze7DMEdNHIaDOS0XqqSpOJhqUiHX+ZRBCcbRrDXPCnbFSOctwvqtDLMZrQ6MEt6YoWexUFDToGH6Fi/qf+DxYDlQSvZ3tKHV37ION0plY6eT8AZQ3qRsRFiwAOTHAIvroPn7/+BkEBAclBBG/7YqdgztiqsRuVzFWZKXQgYQeUuLlMhxk6uTE8yb429WmgWbZAZlddEdKYe2McV+hhzIWAx5H4GS39G/1mSmQBgnGshGKfOoUxv5MDw6G+hoER7J7cWsTDn+jhjGuKjPptQWMX3NqtPCndhBoDjw4pIstjHWQwOHXZ4cDVJag/PRWDY/nl+GQGfgexeHcqONvpLP3A4wNwc6dMc7rpXjGdO7vvwJqrwicOMGqtRkCiu2qBbMc90pk3YvZSHKjjjFl0ENadV3BrO0pxn+9IfLWTdMA2vhb1gKiNrOGm8SguJk1a/RTvNe/+1cUB89wne+4geOSNt2aWp8m9lZyMwS5I6VlD/T7kDkGgq1qSexza5gbxKu8ZRPP+pUOSlddwecXJpjDZK2RIl8PLWOaOiZ7wHnQmRj7rByJ8x/+FxERyb77j9zjjc/ta23zIGVuD5bVQxFfU86pY/LbIqrgKpCLZ1MzVyzjQed9cmCgQxErFRDgSedyuoefo+qYF9siX14R+cDFW7EiDFAyxxZ4NlwTsZKEk2GhFIEzPX8g8q7rVusXgYMvx3iNtNytKrAeDx8gEFhvIHChEicb3PUDxSUonVYErKXIw7hs1uBsV4f4LJlFHzuL8XpyB+dfb+B1am2w8y6Btxs1OKF+gLE7McD4hlrKYZnt1QVkLh4+QEBCSfOPnTUBsWkBjnhtiM9dbqEkMS0Ypbk9Odw5uR/gWbzSwfiRqcXrGagT2qwjgzIt4NzLIzi1L68gQDm/j/c1Q5HfPI3XntnGud51/XDgQmNJgV2vqwo0rkaWearNTOeHTDPiNS4oPfbpHeBatmrIhCwrBifTLMpYMwv7ZWSpHtnH9b11E9ebOngO376OIK0e4tjrDQREF9s4//uuHAYPE4g9UZYOA4dhUWRf9YHIbDsOtE1cz2dP4N4e6t46RpUIx73Yxtg/sm/3vzAx3NhG3YILR/DdOTmw7FekJb7YEynMTLSPQHQRBKMvKz6IirepI9JPresz7/XRPZHPnbA+WpxjT+1oJ/YSzjcoijzUFefXflHETyX7bf/lreMwt6+rzYOUuT0w5kw/AknvUozFhWUe7oSoJludGWumHyCDsFtRuezIdlUUDyuz1u5aWYggSOph5I3sj7sZd7tuZhoejRALunZuvSm9T/YCG9rtVrCre+cN0DM9ZYy8vIiFl+c/mrXpjLHzp/ood/Sdse62M5xzSRkQ/QALM+3RPVPpfW0BgQp394uaMeHuV0S7EKcItJpTZIn6gch3XkXAcq0JB/zYno3t2zcMrHqphZ1+Jlqm0GCLmYFShECK2IUgPhwYEti5X8a5lrRk4mkJ7nQPr7/csXsQwfPtB3BokQul4GoE/ManTinIcg1jUw/tnNsaJBZVE2WrppkGLSuIGM4jH6Sw+SU7c3fGCIyuNK253rmulWFeWoRjdzKR5TGOt6M02v2yZkBKmEdneghyW1OUDJ9dQTDrJ/gcMyTdkkh7Ko7/YWXS6PPIl90cUUaUbxR7jqUIvmM36phfnzmBczdCzN1eSeTx3VsD97dsmrLviQHucatm31MqLu9ULSj2tETFQPWtmwiCVkY4Frsuf/ok3vP4Ho5NFlIxwRhQd6U1RQB0pYU5F2rgeFBG8Jany1cizI9nl61ZZA9ics6zP3dIJmFuX3+bBylzeyDM2fhbIkXVsCjfI9NFxDIMp/pYBAmSG/kGVGXQE7mW1qbdrttw3piazu82mSmhVLunKW3qbrDfj5vBQfdKxrJo6oJKtc4ndhF4EBNCIOFW9TB1WQSvX2rhdUrU81jfddmuZaOGTMIjWj660oKjaYSmfntQUixCDAdMKvZMsQN0MG/XTBNBlHk73UP/FgKOCSzljv7xPeA2Jj6cEJkxQQxHdrKPMXhxCdmSfoCSGHE5ZNC8fcMaIYrAMT+lbJWPn0X2ho6IAd/FNpzfe68hMDsoYZwjFwHB55Ue/L6rIrV9091YGukYFJCpYCDbK5nM/LSAbN3i2HRQ9ktQAybLRXQ8znURHNVDHOtyC0EfRQerM5FJRcscCsZliWrsg5acOdZigfiOzhifWRpjrrEn0kNdm6uk6OefW6L3UIlwDwQBf3kF40GBtbGPMSSV/OEDkc+cxJjms11fXMXzLaQIGMnq4Xxd0blQUXDuqGhy+pfaNp6DosiusqC4OSHr6GQfnzsoYW71A2P+OYLsHDcwmdhcz+v53Kjj/8QGfd8FzK+PnTFZAj8B0zD0bjIP5/b1tXmQMrcHwyqRKU9SJOpOtluxXTNtKZfqbk9Mun63YrtTajrkMyjHpfrzRn0OCp8xRT4qYpEXMdq0nwCL8P4rWED/tyewwF5vmMbHjTr6q1CkiziHUoyAg/eeOiL/6lH8PLIPRz1VvE7sYjcugkX+6W1rbX+6h4wJLXER2Fxp4XprMyz2LFOMlHK9q9kSNowLFCtyYoD3T32RRIO+q02c69E9OLDO2MZVBPd4rov7qc5w/8Mi3vfIPgKJrZqp1xKwWVftkhMDfHZxjACIar2e4Hy9EtgvYx/jslfGjnxBKeSkyu6XLONxuWVKt52JyB/6sinVcrydTKSQaS+jHjIh1Uj1dxTvQMbZsIgArzXFcyXuoVdCxihyEbDQKVLI7cldzPfUEZmJNTWMHQjf1UI0H2xP8HqvpN21NaNzXgPPIMY4kvIsYpoxsQtNEpZAWbpJHQRwXmaA8LAg8u8eNqZZW4Po+sy6Su9UcQ5PcUbnHJRfehrYtaYiMxfPgUKCZ3p4dkXFVjFYWB3i2l/t4D1uhuzQiYEFGiPVz9muYixj1+QHajPTVHH1WZFmf71hmZKja8iXV6zk9PYNHL82QyBNFh8bZVYjcTZ/WmTi31TLntvXx+ZBytxe9+Zc+TsiFcWg7FWM9cCFKdaAIHPwnm4JznSsWhIESO7rbjpxsLg1Qk39FuCID0oop9RmN3dNNxVqg9icLZkMzKCw+VwxsS6xsauiXvoVO442XIpF/rPn8P/disj/8lbDUlDP5C1bWHA7EwQQeZE2N4NDv97AjjNyRd6+iZ3sb56GM35qBwHR47uQVL/WFHnPNThCmpfCMaw3cO0Ez7IdQSYKDHXgmDIBfqcewnFs1fBcKHxHvAEbEOadQS+AAyToc0fLWg8f3BpUftdl/Jun7p7p4Rm4GYKV1xYsINzNzOETnHq9gUxNZ2LYpUSd+fIIAQatNcXnHt2zTE1tBme5W7GGiMsjbYmgjBziUfYquC7OPRHrj0OGDVlVpKcTu/LIPu5l5GNMOE/zKsAnlcZ7qo/xaIamdbM0wpybaRnzLZs2r1tTZGpImScTiSq9eUYYMyrswh15AB3vVQ4z6Nhq4LE93PtVDYC7JWTpRj6CXmaHTvdEmimeU+ghCLhRM4bRmgKtOe8Gyv7aqCHTQj0jquV+12Vcw5dWkd3paVmyF1hH88jF9bBUeKOGoGivjLm0VcV36/e+bIBuft/zmSCWVomDy2edrrTEefnviwyLkr3jh2/9js/tq7Z5kDK317U5l/+OSbxXImsWeFDGIsR0c69kap8UKAtipHndDAs/6a/s90Pw5lQzD8RvXGkBOBp5CAzOdUWqLpyzqxmXqmZ22Eckc/B3Mg9ErCNzObp9QzpaVcs21xq4xid3sSOmdHuq2YGXFgEUbE1Fvv8VlIJI6a3PsLiuDK1/TD44+sBF+/+mAmxbUxPGY2fm/ZKVDkoxxnuq95k4OPabtzAOmYNFf79swRv1apZGWkbz4GwWxxjvjTru92zXQMUUr6OceVjQMoMg0HhsD+fJxJpP+srkYZfgEwOcgzTiL6xp6UbZTdWZCdFFnvVb+pUnEMQ9obgGYnLI+mLZ7EAzIMTOVGcI7tjHhsyVTLSVQYprbk3xnnJkZRqCmSlAdqVlrQhKMV5nIPbu6/a8HttDAHi2d2t2jxk8BmNBbA71iV3LGC2OcY5hUeRfPg5gMMt+IlaGHPn4TrzasR5GcS6LuTZAwHimh+vtKdMscRBQUf0533ZhWrB54ogF5cTtVLVE+nwdAU5YxvhQfbmk98RjdMYI7l7poGzHgIQdnPlMeiWMy+IYfx8WjW328TMIhKhPc1x7iht1fI7B6mN7uD6W7tYb4nzyf5TsPXPK8tfa5kHK3F7fRiouba+Mxa+smgcMVkqxLZBUwpz4SOGGBeujwuwLuwCXVUiLNfNpAc61PbV+N4MAf2fphs35CqlIEFrmgzvXZqgOlGDeY7IoIofpyuVY5P/6/PHv40JMbZFntgGUpB0H4mX3XYqj5VlHTgbn+umTWMDP9HB8ime5ouUF1/RhyhHG7HoD2ZhyjDFfGlntv5AarTT0jKXkJyK/eQbXtKYaMKf7hzE8VH7tTAwftDwyjY1uCWObCXAPrSkCC1KfyxqAfuqU6YSQtRVoBoTBh4gpF+9VEMC2pggMR0Uc4/Fd3BfF9tinhuqlnQmCltUh7uugbLtsZnZi1RaZKfXVzYxyzh5Q1O2havF2FeNADZdKhHueeRBhe9cN6wF0nB3XL0kEcybfXVkE516YHM4miWh50cM5N+oWVD6yj3tiJqk1RaZo5uE4CxPMh0Fg2jNUep740ExJtNTUCxA4feoUSnSOYFzLyvQhhbg1RWDO0tPYR7ZzvQFwdljAa2yVQSp1pIH1+7cNOHxQsrJhX7OF3RI+n7giv+3y8WO3U7W+YZdbeOZkKz10gGd0qi9yqi/Ox/8xvmbf+ceOP9bc7tvmQcrcXrfmvPz3RbzAVE73yybOdrVp6e3VIRwna//tqe0UReAgdipWryZYlQBQBj2lGLurmwyf6LCjYFfWhqbZ6yE+y4CnMLPMxCCAsy9rGpwU4rwTuZOeSt7WGwB0tqYITijadi/mpYfPw8zKjTque6KAUeJMWC7olowp4aUY052qytO3RP6PRzGWj+7rjj3B82HTRj81yXQRkf/oZaNTJy6CCAZ1zEyc7VmZTATskad2bBdd1l30XmJqvF9awTmf2MW1X26ZBkwmeA6zHG060QxGM7QeTPtlA2DWZgCiXmtYVoNdlbn7XlHaNrsHswEkM2iFFOdmeUXEWFztCRx3P8AzXR3iOFMtHa0O8bf1hpZKXNxjr4TshJ8c3z35XuwoqFlE5He8Zv8njotYDqo6p2IZQjr4J3bx/4qy5ajtU5sZ9mm/jOseaLaErDmOOcUFU8fo24XUtIFGDWuayJ5AnJ+k7zPzsjrU+VTEPGYW6tUFw1Yxe3VyYPTkxTHmS+VIoCaC7NbZrmHZGJjsVXCtnl7r2EcWphkicBIRRz6MU+q/c/vKbR6kzO11ac7H/7GIV4YsfaI6BvWZKcpmgoWmkGIxOtuFsy3rroZONs1lVph+JrOmqLvpcoRFsD21xVbE1GxHPhYlliB4PeMCPiOCRXFxbBRRisoRRMnSClkbtdm9Bxqkgd5up3c/Rk0I7kAfPsDvV1qQkx8qVbQzgZMc6O50r4wx7pVEvuci3h8W4MwXJkYHdzOwSRqhqcWKWImAJQcROM1pQYXiIuuJVJ3hGRKwWooPa3A0QuBMIg/jf6Bg41N9vKcc2c6ZDrIfWCM+4j1O9pHRaU0RINEiD0qkq0N8nlT1amSaNUUt+aWiZS+xzFlYMOfrZZaBSx0whjoTy2D1A2sEGLkIQosJ6K+n+kYDXtTMAlVTj2ZSGFjci31+TcXvNOP3zDZ0VT6/hmyer0HES4vIEC1OLOsVJBi3zRrmTj20hpr8bqRigFlmP4LUZOp9MYp2daasKM+o7OyszBJLMcFnx5rtfP8VY+2tDhEYfOok5uiS4pU8Dea8DJ9lt2QRBJn30gsrz8ISwffby21wiD1bGuPYo8ktn3Hkw/NA5au0eZAyt9edOf/ul0TKYos7SwjFBAGDm4mUlD7sJ6rmmSGIoQBZe4pU7GbNsiQHZetPQ6rmpCDSSHEcN8MimjpYBLc0+CHtlt1th0XDoUx8LK7VGV5nPbwcmZS7ZKYNkTj4+yCwGv3K6M79eFaHwJ/kjZLld6NI5x1aPkCpRCLfc8kAk6VY5JOncM0s9WzUsPiSVfHOG/h/MRF5bB+OlIu1k+FemZEhHoVaMex/c1St1U9uNnVzyv/dYY2bfJCTd8rs2SOC+ZC0bVdeUyzIyhBObuaKBBl28I7YTn9hgixNJTLgMLEtE10WeyUDdooYwLSjTpvzQkTLaGLB6bSgTQ8dy/gFsUi/YYHr2S4otc8vWauFbgnHDzXD9cQe5jFZUdtVvI8BOlknry3gfEfxFLEL1tDYB9Yop5civcAa7RH8/ewKHHopxjnCgoGRz/bw77Wm4ryqllUSfR7cNFxpWdsFZss6E4zR9QY+x8wUy6yXW3D4lQiZ0mKCazjTMwB05uBv6w3DIF1vWIDIRoN5TFRlhuCPYzPzMDfy8+tejJuFsIAxON2z5+oWb/uxeVblq7N5kDK3151lv/0PifOF/ycWhZ2qpVaZwWBDtiDGa7H+7FYM4DcpmIz4RLMGYQFOvaxg0M4Yu9PYtdbtIx919kpkOJbEtdKHn4pkqqJJhdsgxrkTF8cbFw201y3hc6QgB7ojz8RAiDsVky5nTT1fKjnOCEhlpid1sPCGBYBan18CxmKraovxNDcO7Ym2rq/jcytDZCte6Rirg1mpIIEYGkGpZ3qatdJ0/426PZdTQwAYAw0Kt6t4PXZvZe+IHA7OHMGzOygfZldMNagLlbWR/9tbN1F68FM8q2aItDyfJ5kx9ZmCayeYD2SBNULc44ECZJ9btsC3MzaWTupgTB4+wPjuKBWV2TD2mSmkIuJaoMf7Y5DF5zYsQvF0VMSYpg6u42oTDjBxAFhthSKrCkJ9bQF/64wtcLhRx3vZrFAE1z4oYtyqM/zsVkARnwqCjfYEz7oUW3BUVeA15f2f2JXsnWCsOBt/C+fZrSDrsjwSeWTPqO5P7eDaeor1uFE3qYATA8yV/bIxnDbqVkbZL2P+d7SEN/NMX+hKE8d+fBdBXeRZppM09BMDk79nJ+V8aauh2Z7XFjA/btRx7Pbk7oD2vJ3WzNsoxxpcGeG8O5W7bhjmwcpXZvMgZW6vT3MzOFOm6IMYi8NRhzctoEzBwIIp4WERjnfmGWWVCqxOZkFC5pjcO2vmTOvHroIDc7V06ms4gv8PfJGyh9+dDAFKbYbr3anCOYaKRRjpNbIDMbM3Ioc7Ji9M4DSrdykJ+YllSqZFyxLQyQyKuK6rTYzX1SYW87aCFw/KeA+d/rkuHFh1BsdA3ZTHdDfPLs+DwBqy0aGf64qc60p27s+KiC7IzSl+iG84riRRjm8u3jc1Tq7XTZK8NsN1jn04SUfwPJshGFj5hndeivOtDlV4LcN4R65hIlaHcHyfO4ExofT7QHfC7Ql26cXEQLDsEN2ZYCyYeTnueYiYND2VhPslzLfIQ4C3XUXw2CtZvylq7Iy0FBkkmP836shskOEyKSAjN9VS4/U6cEFv3kKA9ZtncM/LI9B0X+pg/u0rwLw5hUMd63xrhnptLhzwXgVYmTdtHS6JEOy6X0bAwGaSHHdiQPZLAIoTZ/PUjnU9HhUNhEzcSurgvOz1M/NwDQTdUuhNBM+Zz5oUcRGw3YhxyQTX0Q8QULamCKoI/KYC71s2TVjwXs1LgVd6fllktwzF33wDxrttLNScK39H5JOnJPvPfuA+L+CNafMgZW6vTyOLgo4t9AzomLgioiBWEUvlBwqAI9OCPTjo8MsRFs+9CtLKuxW0ah+p9kUhhWPaL1uWYL9sreh7ARZU7pKnBQNiEiiaiWUDWlP7PUhEgol1BA5iaynPpnZ7FQPe0rkTzEhn1i3hvZngb2e7WITP9qxu31UsBvEMsWuaMY0Qx0u0NHK9jgCDu9MPftZYR1SSFcGCv1+GeigX98UxHN5/8qKNW97yAcnt2ChkG9GcDNfzhTV8/nLLAontKv4/KGKsz3XxPEXg8L60opTXKe6vkJquRmeCMalEIm/bBHjyUhs/lOwfFNH/5rdO4ThXmxrkeNZzhuDYuxlp3YXUGgcGCvh91w08IxFT+B37GL9MrBlh5NpcIask1AzhtSbmQeThGGSlff8rCFZ6Ae6hosH9TAP5QBlt44KxiiIXnZFFcK43bd0MDhz5MOZsW6zUWkhxfH7PqLnTmJroXzXCGLenuB7S4xlIX2/ges70cN1Xm5j/iWO6RMxeHTUyuk71MQYfPac9onSOkLLPDtIiNne2aghuV4YImqiWe6dya94qkVHZSclnEB5r1vX5JQSNtzNlZzn/6p9I9rv/4L2d9w1s8yBlbq9Ly971J8T57M8bsDLS2q+f6i7Ts4Al1sXay0QyD8C+lxfxc1OVtGRdfh/dw6K9PMKCWpuZs3MVQDvyRSJN9Tue6WKUdNFn+aaioFtSWinL3VaqKTUa1usiC1Msjr2S9WgRubUXzdQD5kbEUvXcWROHQ6bDrGA7zFIMh8Uus5QEF4EDqIdwUKFn2SYykWIFveaVOJkxOSiZpoyjeKDFMcbhxMDKbvWZON2fNPzJ7Sx1tBt0UzvShnAyZF/kFV69TGSnjHtmuY4ZhvW6yJOK+3ilYzvoQYCdNmnLhdQYXd0SshHvu2qO6dcexlitDtEniSwlYiX4HBINkCqzW8sEO9XDisYiWo4TVUpOcbytGubAf/Hlw599btlAo4kjUk4w51aHeEZv2kKZYEnEefWX8Z7Ewd/XBpZBpDbK99xAuehq0zIok4Kx3NzMgOjs30MV2KPZO0/Lf92SlkSLJh4nYjov4yKu4cTAOhm/uoC5OAiAcWqE+H4Rr0K9l9Uhnh/lAIjxevwIxkYE8+U3H7HS38oIQcipPjBIbNnA0mbqIKgKEoyxr8F6OUapikq/jRDNHqmOfJy9qO9n1mSm4O2iZhRZHjyu55cIJBF6pZuMMOdX/rnIykiyb//jtz/nG9zmQcrcXreWvfOHxXnuZ7FosbW6mxklOXIthVtX55wpkHB1CCf0/DIOxswEm5atDrG73tPdf6jOPkhEvJzAGOXJGyHey3Q8ZeHJSslc/Ls8wsJXjsF8IWZjbQg20aSlWAbBPR2UsEhv1M2ZbtbMkdAxLkxw3Wd7Il9cEXnkwBRb2XzupUVc024FCy3r5iJY9P3E9GPIQiK9t6aL7UYNY7FTxXu50C+OFXA7w714GXAQ+2WR3ziLTMOJgUjrNuWpYRH3tVM1NgvbHJzrwqGSXrufC0qaIcYx9IwxE2smiYHcUHEdw6LhK04MVJxO6cdLIzSS++wJ3NOvPwTHcnKAzBHFv9iCgJRgR/DZ031cQ7ck8ulTNhdPDHDegxKycwTl8ljdEko7i2PLgCUK2mSGaEmFxK42cd4FZVa9Zx3ziMGmsqTlP3/OMi97FQQ4z2yLVJShxMyGmyEgIjZqdYg5kmpwQ3n8hgaJE/8mgy2Pm3Cin7Bg7UbdApoDzQbtl5EZWRohYKFo2sMHCA4SV+TFAOf0MmTv3ExkOsPcZvO/tQHmeDXCZwfF4zMSpVg7QWuQ+fABmEmO4Ls00u9/JpaZoZT+SMetMxFxJ9aM86SChD9xGnT54+xiW+SlJQXPKq5oYYJxePuGgbmvNhE05cUTf+u0ihE6KtzYNRHA9kScF/6BSCGV7LEfOf7cb2CbBylze11b9sx/Jc4X/yEWOlJ5mbnIxGiPsVjgQopxOUbQQBE37o5P9bEQUgWVLeM9DYAKAgdPumy3hIXHyewYYw2cxkUs3EGMFDw72XJXH2jWwUtxvsf3EFA4mcg1zxZa6rq4GRYx6qpQPTcswKFmgt0e5dCvKwW4FMPxMeMU6bG5G/cyc+Rk3Ty1Y4ykA80erA5txz/Ra8hjfegAwwICIdJQ72R7Fcj0E2tAQGnsoqUBuzOPKwaadASvNTUYjLVcUlQMgCsYzxMDHGu7anL+kwKAvsVEpJAYXkEEDCURkV94B5zj+69A2fdSG45OBPNm7ON4xEWsNzCXlkcIKL+8grH7wioCx36AZ1FIUS4RwTMvZOoci8YsI94qcg3rdLon8o4bGKMTAwS/21UEbytDkad3xKl/xO6jEpmI2FGbuSIXFvFeYjcopT8qao+jDM+CrQYOyiKVSLL6h2493tjH5yIN+GgX2hBoo9Me+yidsXkkr/NLK5g3q0OTCdiow+kzO/O2TQWlFvHvyjGYn7zlMSnlSFWEXXx+UhBpFayP0PUG/o31fh/fs35GEwV812eG1bnaPNy0k3a6jzLkrGDl3u0qAiZuCP7Vo/juF1KRf/MInuXyyNRypxp4N0OjejMj2y2Jc+nvirQnkrV+7M73/wayeZAyt9e9ZW/9kyj9iFgTND/VPhta1mDZpxKJxInpGTy+a7vaQqpZh+rN8sRNaXfuFEkh9TM4IWor1GaGq0hcwxGQrspSyHrjcEdlir61ptYBeadqQnF5WXj2NaHCLsHB57pwlLEDmXbuyLxMJHJwn2PfMkVeJlLU2j9T0TwewbqBaw6Hju+a4gKWRsiWMIBiTxaK421XJVv+b0VOGWNBRKxvC0GydR2HL65q6SYVqSRwBuVYZOaIrI6wYJMmTgoue7hkjnXNjVxzhr7iIj63ht32yb4KxTkm3x55yF6VQqOm06n/sS9ADp22NML4XG4hSGR5j+UzRzMHiQvnKqIYBMf6SJEiT9bPv3kE1xa7VoLjXOwFuM9LLbx/bYggVATP+d88YiyZehu77id2cY13KkcQ5/RqB5kJlgUfPoDD3FG2FVsZPHxggdPtgk2WeIoJ/n+xbT2AHA1+KxHAqM8vm6jb5ZbNg3HBehKtjKzkkzkIIvYqCO7esnVvncfzFhasSzG7daeOyKRoPZMSLRlPfIxhT9k+YQHP+bUFa2fwyVN47kfLliwJXWxrAJravP/cmunn/PaLeM9mDcHY+X2cx81wDc0pjs314aCMAC7ycJ3rDXHGf0uyE//N/Y3Dt6jNg5S5PRjmCBbRQioyi02MbVKwRZbYFQpjMVDh4lHQwOZMD5+/UbfmZa2Z9RBJXBHRXZivu8TQE3FdbWiYGTDvpricY+BUpsRJ8xWB02hP4GzYPNARldFPESBQZIyNBEmBDTUzQME0ys8njjU8TFxkDdaGKj6WWAO5nSoWxsxRarQK2w312E5m2Rg6HAYogwDYEWaU2NBv+cjz2augXn+5hXN8xzW8fqltnWWJ8VgcIzi7XgeF+OEDw6EkLrIT7PPTmmJ3/onTlnEhY2tDmS21GXarl1sIQvqBSfXPPO37U8F4M0jJi+OFBfyc38dxSdV2M4wJFWw/cxKOlmyzmw0GC1a6eahrlPbvvoygbWGiHYEDw3EQTHuuizEiHfp6XeRqy7ATmYOyxxdWVQNGr4VMmIUJnu9Oxfosne1ZuwI2RQw9ZAIutjH/S7Eq2KaYr46IxK4407+urLQQpaHFscgp/T49tYNxudDGWNeVffaedbz3+WWM/RdXrdlnZ4w5uVEzEHgpRqYkE6N+d0to09At3VRtvWlXWhiXUoxr4HeqW7IsWZDgWL0Ac2araqU79uQp52jiZ3t4VpdaJmHA57I2xDM+GqSwYSJZdwzyqXb96B7+PdUHoP2zJ/CZQorXJwXc84UFPIPm1NR33Qzfx1MDBXx74rzyP6D0poy5N6rNg5S5PRhGjQRSe2PPesz0SgaMJEV4ULTdSWsKx+On1t34QHEPJwZGD41dpMqLqQFh2UU2VEc09OEoe7oIMm0vYosn6ae9AI6goAFPnqlwTVPQE9+60p4YWGM3NsELPVuE2WmZlM/qzJyBk4HJsTQyNdntqtKGU6Nek0m0UzF8D7MAzdDYQJSvj1wEFIUU5QgRkWlBnGd/TmvwLaTHycYiw4qYGjpmXksjNMdfVUAuaeblCDvs1aHpzJzs4zhP7sBxn98HBmO9gRIBG/S9tmA75dbU+jp1SyJfLiheZnorwJXMjrzzp7hZkBju6FoD4nWN0BpRrg4xZr0AJYSTfZynV8Lzq84wFs2pSClCIDAsmu5PT99zso9sAsuJ21Wdw4FlAU71lS3m4PxBgjG60tI+N1Nc/yAQ+Xfnjd10rWFdgS/rPC2kIsXYqPLUmGF5M/JsXvDZxC7mdV3BpU6GoIdNP0UQhHiZSHWqNH/H5oCXGgZmcQzHPi2I1ELMm5IGfbsVBPSP7sF5f/YEnmMpV4L7tnWM5adPWvkqiHU8FX8yqZpKMOeSIyjNMGP0visiT28j4Hpu2dSSQ0/kY2cwxksjzNVhEUHx2S4C6xeWrO8XGVzV6DA1/VwXY/vMNgJ4qlavN1BObU90vLS0tzDFd7kZIqirzUSCRJyLf1fkoa5kzo9/LVbSB87mQcrcHgxji3VHNDjQjAfpl05m0vncfTPDQkBd7BpuoTYTOa/AVQqXsS8QKcZjH7svUphTMdpiWBDJEjijQmqgz5vN1JRymTpYcJbGuP5BDYskG8udGFi5aatqoNFqZCUPdmoupFj02GBupmWPcmRsg82aar84WPSdwLpIU8KcOhuN0BrgzTwca22I63ytgwWXQM58M8CNuuqtTAAIpDDeqGg4oRcXcaz2FA6JO1V2ot7V8s0nTsPZnO3h+r7vAhzyesPo5GRwECfw3muH58ZGHfc90F30wwciv+s1jBExOFebcERbVTB76KhYHou0jMRGk5SzDwsIOm7UjUGVaKmsFOJZ9UoY714J17xVMzExztVZAcdr6nmptDoIUJZZHONze4qLWNb7Pd3HvVGnxs0sI8aM4b6OUVY0oPVexUCx7YmyXzR4ZxC2XUPQtzzCa1Ts3apaMFFMrE8R7V3XD38vd8uYI/z80sgyXiIIlETwHeiWrKvy2hDj9rkTmD9srzD2Rf7ZmyyzSeaPCLJ6Ly7iWJzTIggIXukY2JzjvzCx3kKOGCaJtjDBMzndx30vjzCniTmZFvB8rjXxrHeqUK/9vS9jjjIztTY8/B0RwfixZDsq4vt+uqffy8z6/tRn1vyS5dmDMr6rHVtDnPhnkFlZ/QvyRrJ5kDK3B8PYnn1aMO0RRx14KbaSRVlLQdcb2hBQnS9F1Ij/2C8jdcxePsMiFlYCaKeuNRRkR9fMsQBlqPgRJxNxHJFKal2K6XwqooJeim+JXPydmYRGaMA5Nh90BOchyLKoZRsCTv0EP3nq8erQWERUxnUcBEBkxJB6S50NJwPGgZRmMhO8FM62NoNTPZp12KoaaHejjt+JWWAWKEhA09ysIbgLYpHUt+wCpd2XxpDm//wa/v/QgZ3rVB/XyYzMcc3xaGPfqJ+N0ATXRIxOfaaHn8stax5JTIGTWYC5r3gfP4aDEDFNGU/fd7KP50t5+eURSh2xi8zAMzvmnCoRnGZnjOfIstZuGXgcMoACBdCyF9K3X8O41jRbdqGN44cerovZj9oM1z9R1soz23juv/IEjn2liXlxrmvtIEYafFN7hvN+U4HIzGoMA8P/UPDvi6s4FrMubLCYuCKTCMFRITWRuEqEY46KODdLNARvP7+E+cLSUerAeYeeSC2XXSSL75F9XN+rHYwxheU6yqxiMEOsCftDuRk2C5s16xBO81LM85I+g/P7CGp7JRxjvYEM6mKMeUlQ7yP7+LmTvbBkGcl+IHIutYwqv9/lWGRxZNndykwlEDz8/eEDjIl2oHaGf12y2l++83m/hWwepMztwTE2/MuXL2IXO5iO7pi4i2LK2k9Mf2LkC7qbCYKBzZrRRjdqllpnV2MCZHe1NEJArIjpUexWRLo+nCNT8NtV0ylhc0IRlKcorMWyCqmRDL5YkqHQViG17sFFDVSCBAsp9WLCgjGJKjOUq9jsj6BZitVNC3DWoWdjwj5GTNs/umcYCxr1XmYeMi1jHwEKRfPIyqnnAcVlc/5UHF0bYGyGRZHf/yKOTcxA3khTvlsjuPUGxruYiFyvYjf93Zdu//5z3cNBaUEDPgI8T/dFuoEFim4Gh8WMiCO5kpuLgOj8PgKt3zyDZnwjH/Pi8V0rDV1sG/6JGiWJBpBjdUjNEOXByMX989mVYsvscDyolkzWGjFQVLv90U/iuby4hOvplkxbqKylkeWRlfamBevye72BAN7LDJC+V0GJcEH1fxhwdJgBUizT2uBwQ01mqigy2JngvNOCXkHdLgAAosVJREFUSOJbgBNq0EpFYPbuqc+Ad5kWEBAwi8bgoJHL8Lx5C8Ej5/flFn4vJBjT5RHm7PNL+K79rtcOzw1mZZ7ZRiaTjCH26FoZWsnzbna1iesualmwHKO05KUACH/8jJV2GDCzrDsqYp6y6/t6A2tCZ4LjtqfijP+myGsLkr33j9/b9TzANg9S5vZAWHbmz4HhQ0rs4hhf8Mg1gOvMMwZKJsa6ELFy0IkBvugi+Nv1ujnXvIhY6lhdfmFiOJDIM32PfoDXTvUtU7Jdtc6tIocBoe2JyuHrsahWW9Lsj5dZW/rEUW0Qgaw629kvjUxjgzvp9YYCel1teDizssSwaN2b66FlX4jFcCsYq9rsMFAwH6BQ3yN14Ky2c3gc0rGZMWB5SgT/Zg6cT6+EMVscI13+cC5rctR2K0ivv3v98ByQD+NRyoftnKMigtTfcQGO9zhK7lGrzTAu7JBM0Tg2kHRF5GTP3udkAFl+4CLS/SyZUGq+kIp823X87JdBQ/UyvKc2w3xY0YCgPTEcQ+oYzbus2UDqgpB5QswRcU4MUmshngUzLQyg0lxwVYpF3raB473aQSC+NtQeOoKx4zNPHAQmVIq92EbGoRHC2TNj2QgNR8QAvlvC/fVVyIX4j+t1jIOvQd1WFcdfGuH7drWJIKeYYG6zAeCbtax1vaEg7RGecV4zJR+c0IrJ4QD10X2TB3h50QTXHNHGn3ewfFaP+jVHmzfeyZhVZRD5+K6tCcUE40LmGNeUtaG1MCikCLY26nhuT+9g3vUDzJXYFXmoK87VnxEpxWDbfYvaPEiZ24NjE19pgqFJntNZUCSJOgncKU8KSMnv6K6fYlEs4TS13j4s3mQ4oIQj9rsIFoZh8XBX4cS17rvFBMFM5MEpD9WRsS08hb9KsTU4ZM2bmheOYCHvloyyKHq/TM+zy+zMO3y9w6IGOKlpyjCzdFDCWJC6zN04gaKRLozMHHmpyeQTvMmmeFSH7ZZEdsXKYMTJiBjbKRMTQAs9Y5Wc6t1eJl/kcC2fLJuZJ9LIvWeo2KDHd+210/cxl8hWCn3DIGWOyeoTKH25BedNB3O5BRXVt2xBY2XiI01P0OtmDbvgcmzYj5tlSnVIBFjTQbUnANaKQHcndgEUZpmAGBg2Scz0fZ0xmgZSVTdzrDPzsGhNC0WwW2+ECGhF8F0ZBBiH/JxmWadWNUZWZ2LjzYyiCJz31SbOQXbdfhn3tDCBk6ZwYjm2jUDmiLTGECVsTU0M75UOAovHd5HNaIaYN09vW3B/NyNzTgTB0dku/p8HtD50cOdjEcdEO04z5ai9tGj4tPMHAFL7iYnM7VUQMC2PtISWYJ5RiHKnqrgwxWtNNKO1OMb8q4fQaCF9nL2bNmpgAmW/JCIi2ff9obtf6wNmTpZl2Tf7Ir5R1u/3pdlsSq/Xk0ajcfcPzO11Z85zP2udUNlAjxTQmWfUXgYwxITkmTdhATv5TG7S/aQ5td1i6pgE+56WeoqxObFREYu+I1hEqOoaekp1zawTa2cC3Qt2Um4qgp9gVYJ68w0MKf4WFkxWfebh89TOoIIugcFkGhCsSABx7FpKPlJQZTlXPiDGhpmdzLFO0ezPsqglMarz7lWATaBaLUtDOVGqm06/PUGgdmEBDqiYYId+t1o+My8EC6c69lR2pcIwA7mjAlzTgrFCyKY5aht1LQGKXlffyh87VQi29QM4tXddR4blRh201bUB+t34es+9EpzLdtWYZuzQy+zftaaBrKkzkji2sy4mOHczRLC6MjIabb6XTSG1LByfP1syVCJ7nuVIRQkTkd0qaOwMnEitb6tmx5u2cP0i+AwbcvLZMqNEAPd2FZ/tafaEc5oZHCoUs4njzFOV4Ni6mZNivltBcHOxhe/L6hAB4P3aThXqx//Ji/fei4dGqn8vMMVoL0XAebfs3GYNnxkW8cycDPfNMibbT4QFK5nxWQ40KO2VNKgvQFOmqBnJcoQsXhDjO0f2ETOhpRjBTDlCQLY2fCCE4O7HF88zKXN7sCx1LCWaiSphuoYJYbmHwm2k8SYOFof1hopaGRANIETPmC5BIhKKNmhTp8vmbCJwsCwn9QIrFVQjkdUBdrfsr8OSkCMiY3VKdBDEKFD/JNXsg5di4R4oqLc5NRqkm+E+SE2eKSaFde2Z3sfIR1q9OYWzXhla1oY7dLKGTvUNcxK6IrG+zpR0MTEWVBDbwsqgJNKs0Exwn40QAYCTYcy++zIClCst7dcTAXx6tP8N7UoLu+qVoXWcZq+fagQMyNrQqN1eeutuN6/g+3LHgJlOZpiIIJfRorZGe4rsyJ7SlwkqDpUN9dCBlQLGvjF/eiWjopIGL4JrYKftcmSBZeKKZJn9HrsGDmefGQI+azMNLiPLAESuYZtYBloa2+vVmTFsGAQ8voffX1w0XZZF/cwgMDrvVs2A08XE1IZ3KzpmOo8aIQIgivfR6S4o7oSaO/3AMgilWFl6mnmjACK7TfupjfedwNIimNdXmroRcE2H5UrzeJzTpABNGmaavvMqrunVDjYhu1VjRDn6/f/CGj57u0Dl82sI2qltxPYDO1ULTlaHmFNkUBUT00ZJtJzcLWFus/Ekg2dmTU/3cZ+hh/cNixhvNnE8272Z7aPAYr61wYNs8yBlbg+WVSN8wRuhNcqjo6a2RaTBABUx14amDtoIjfLXDLUnTwX6KIu6Wx0WTcGSYFJKyzM1zfR9PbdLjxWz0RljJyRizpR6IZTbL0dYVCng1iYrqAiqbD+wHihUP73W1JRyYiUWpuLDgu2wuEO92MbCH8RwmrUZFvaZZo4ojd4PcK8VdaLE2xDDwnEcFkVmAdLZ1PPolmzHR8VMEWWSCF7/8op2n9ZMDK+XHXx7JaNvJi52khs12/VngqCnmOD57yhV+22bdy4bPaoYguoMz2W/pMGBY0FERbUtmFESQXBEFgj7r4x9OO/mFI50t2K6PGwbkOUCTirjMoga+4ZrYimMWiJeBjYRu+jWQ5RzmCWaFLRBoY4FgxMRC1rI3CGTTcRKge0JnsviSOSzJ+EU/RTX0y3hs1eaWvqcoURTiRBEX2sYZiZ2RZZDC5iIt+mM8VzcDBmFTPB/ZjILKZpBNkO8RuAtvxOVyL7L7Px9tMnhccaM1HoD90lgdl+zIU9oKfClRQvcWTqkdP/FNsp357oYp82ala54PZfaxwcpN+oWoLgZzlebYR7lj8XvJu9pr4JrYLaXwnx5SQCWZZmFu9JU4UANGOtKmz7a1DJnTvgRERHJgr9y97F8Hds8SJnbA2XZ+f9anPHPwYmVFd/B2ixLN5kgNS8pgoLtKhYSZhmKCRbIRogFkd1gE8eyE2nO2Ua684ldS+fWZzjGRHc83CGd6WGR7Co4clLAe1eHcHIsx5RiUx11Myz8zMhQLIu2XRWpCnbwPcXgSIJFOnFsx7lfRgDVnmLhJmU2Vt0MaqlMCiKzqjIxBAveQIOSXoDrJ02bO/1SbBL+1M8gRoGCYWQo0TkujRFEMdvy8AH+vzAxYCmdhoilsJ/cFXll0ajF7Gxb0izOtAAGTuKiLBA75uwpeJc3ZhIGmhmj/gn7QM08PEcq7e5V4MDZPJCOh7odhdQaPjIj1Z4iCGMJipmBfK+kamoqpdT04fMLC6aePCpa8M3gIxMbAx6PARGDyHwwSVwI57wjyFBtVzFH37Kp4mspAqJREc/r1QU7HwM5iv9Rt4dlqJKyedYbeM6ZAFx6rYHyW77f1uk+ngH7Wi2ODfzKQInPl5ICdzM/Nbo8dUZSB5lOll9GRWuoycCZ84A4klN9POutGkor21Uc/1QfcyV2IZV/pmcBILN457oIZtcbKlfgGQ6Ggc2wiGCCbTGuNnGcfd0wDIqYPwTZ5sdNBd1k2zewcuaYYu2dTNcFZ/IRycoPbqAyD1Lm9uBZdYZFZaYYkGERi+RuGbvNamTaIHRKDCYut5BlWB5ht/NSR+SdG+boif9gqp1lo2JiGIleCc6hmIi4scnvl5SSzN0wyzozD4tlJdK+QKlpM4iokFvNVEyPGnd9pFcHMe6HWZ9BYOwd1v8JznMyTf2nCGCIE2FbeQJUE8ccKsGZqaOKuBqAtacYn8QVWRlK1v5LIm8Vcf7F/4pSyUHZ9ClEjLmRbwaXt0JiKsAippwrIvL7XsIu92NnjfbNsh2D0StNOERmiCYFONC1gZ2D2A/2MVoa2ecHxcOg5/wc6AcIqmIX18FyCksF0wKYV9S2IE2dHZTrOgacp9wFE8PiFQ87mUokUi5Ynx9HUA5iwJc50L4hJTZxMM7M0IiIlFVfozYzMLCXWdD0+TWU3dhvhwDuSQHXwo7Fi2Pc13PLVpIspEZRPtXH/e5W8ZmNGrINZ7uqbNtCoMDnMC0YuD3UEgUDzcwRaUzR1ZuYmIOSyKdOwfmfyD3LoxbEIt91GUrAVJjuTJDhKKT4znF+dCYaxJe1XFoQGTsYI/ZMIr2+OcX8qIcY390KjvXCEuZrEGMNeHQPATIZTqUYa8srHdORIbCc8gXTgjGMuKHZrRjoeGGC+67PkPm60cCx33f18Ly+HyvHD3QJaB6kzO2Bs+zhHxXncz+PheB0DwtP4kAWnkqxBHKOfSzUGzWkm0nfpQ7CW7aweOzWFeyqNEV24mUPIH7mQIW3AsFCN/NEUnUEQ02DexkWs27JlG7pTFaHcC5O7oZKse2+EvewtkreWMNv6yJbjk1xd6qgv1JsZZekoMBi37rqkpmzMMFPPrVNGmxNyyOsoR8o/ifYxfX1lIK9oNd1pmfsqUERbIy9Csbx3euH2SO01MHCT+Axnb8jBgpuhhjr7So+T2ZMpk6c7IjdCspBTM8HsWWNmEYnIHpUxPgfKLi3qdk0lrt2qlpim1op8KCsLBjH6OksXbDMQHbPwsR6MrEUQ6wJGwNSzIvg6YlvYmI0ssoi18pQIqa47GcILqpaKpn4pqvDz3Puj4pWAswEAXElQnliq4qgguJr1EtZGpmcPplilOXfqhmbLNAS3KkB5sQrHYzhuS7mwjAAFZlA0oMyekcVHcvUsdTyyD7GeOYh8L5bJ2QRCyhPDPB9J02XG4SSrglXm8pkc0XaEY4vYnTtvYqJyYkcpvCT6ePoMzvTE2lvojUHM0+klB+UMVeXRzhHJtYOoRoh0GHgkokJP/J9bCJJO38XgPl9mjP+70Wc7IHKrMyDlLk9mJY6Rq0VUQqmWH37oGyNw9jxdVhEOnpxDKc9KgIgG8TWt4YiXiKHGRQMQkjzzATvI9CNDoZaKqFnOzIGKGd6loLOa5KwTDLShb8zwXleXMRn2E+FHYzLMUo/wyIWYzZ+W2+Y/HZd8QKhZ7txX5kilGSvRLYIMxXO8geDBGYRRLBbTlzcV5CIU/t/4HPvFIzry4twLEdBrC8sgT2St7GP+yTdmowVCoilGZybI3KzyzNpwbUQDnqrqtfkWJmnH1hZ44ldfH6qpZSKBmpLgrGggu5GDYFL4sI5EzcSemDydEtGn2ZA5WSqyKvAU2ZJWAagTkYmuM/tqtF7X1oyBzzxjUmTD1IYbBRS4JtmLpwiAcuOGPA4n4kSsTEsaqaqOsPP47uacfKtYWLo4TirQ5SAhkWRXz1vmT32RmpNEdBfa1gzQxHNXowtCFoZIUDbqeY0hnROrTfwPXh2BUFFkJhuzDXFXBRy2UsRXO/LHcy58wf23Xylo2VQxcb4Kd7npwZcjTQIHfl4Xo0wJ0+Qql5KgvshoymIkW367Ak9/gxjcLmFMa1qaSksaEkvwnw7OUCAVM8BliltQID9qT7+vqUMMIL+Sbv+ehvLSbGLYMXNJCu9/oOVeZAytwfSsnf9CXE+9j9ZpiNxsGAxi0J6LJ3t4hiNwdhGvhzdmkq+sACncraHRYU7pExMmr4zNmlxlhG4Y6WTjzPsdFk2CWJTsN2rYDGvRFZeYFCzVzGHt13FIne5hXugCBYXbxHDStBBsLHetYalmCcFa1bIXjYEig5zjCWWBUQwVgycmNFhsEMnycCF1ggP93TJ29EAhdcuYiUeZimIByLwuaSMj2kBjj3ygKHgrvXlDhwEBfHYFHJSgFM81TfgLEsyeRzRZs165jy6D4dFzA17Ae1WIEv/9g0405stCjT1X9XynSsmDlfXZ7On17pVQ/nkES23bFdxHWMfafxKZFmixDENEwqhlVMRuQPbhSBvXzOIefYPswWxixLLVIHJlQjgY34XmAkiKy0TgJ5nHnresJzBDN5mDQ73kX0rb9VmKJMRf1VR7Nb5fVBll0fWmPFot+O8RcpCovDiqChSSoxZdf7AQKcUNpz6IsUQG5KT/cMBQmuK97x5S+R/fwyBY22GZ04sEb/jL3fwDNYGCGSolBvExlzLtDxaTDH/ajOMFwXwKOV/sY1/TwywvgQxjvf43vH3/9oCAuLjgMObNTyfewEVH2ecA5wng6I4e/9Qsrf8ya/seN8gmwcpc3tw7bE9OBXSFSc+/t0vI5g42RcZ+5J95x8TEYFiLRkMfu6LznIE0/xhAU6kM9HuuLoL1y+2THxbKBwxHAedDFkEjpikeWuqALmJARGrEc5X1sAjEwM/khHSnuL/kwKcXFkdBfuPEKPCoKGQYudHhgSzCwdlBBqrQxOHI1BVRBudaUDCHkWOGNtg5BvjycsOsxW+GruJvxCloCZW3yd9lbot77qBQO3fnTccSOKao2d34KGWdNgHhqBMZrT47L3UlHYTF7vzA6USv/+KZULYq2am+A1Kl4tY9ocU8vrMyoV+IlLWckRbgaXbVctuLI4xV/sBGi36CZz4+X1tcpgeO2R3HEsCdxNHwb6aIbqkzvJAwcqP7COAY4sCBqgihp95agfHC2I48p0KMiUHJZHfOgXnzG7ayyOjxjLATR1TsO2W8LezXVzb0zmcErN5V1oIBr/9Gsb3woJ2oNZApVvCHKWO0Lddt5Ik5QWo4DtQ8DdLcixTrQ0RRD26j0wdNwqn+vh+sfHnNEZQcKanGjQBgu2xrjH8jjNwZqmTXbhFcA2lGOvU2EcGidpFzNIetTvpB1GWoDnFmFEw77h5kH+eNGZ5qXitLTycX/z/4f6/59LrErMyD1Lm9sBatvIXxCn9JBYiyl83Z3Bu3IGx9iwChsFOReTXHsZuZ3mEn3IEJ0InHcRaa5/h2JEn0o6xIyN9mIwXZheIAaB2iCNYSCmaNvYNiEoF1vpM5IRrKrp+KuLpsVeH1m24OjMwbyGFY9uqYpFqT3Ht7AXEBYpiWiwvJQ4ArPnFK8+gqIcmVldTB1qdHdZ7yATXuDDBopYPcu5kx2FSaLWZ9ldJLdhjpol6MJ84jUCBMvl0Fmd6eO/Mw7/EsHx5BePAkg9ViNsTw21QUGx1iP9frxvLaBCgRPXkrjWufHEJu9xH9xEobdUsu9Qem0ovKdVbVez2V0ZwettV7KbDAp7FtIC5V4oRHD10gPeMfezOj2rI7FVwb2PfROHKERwuS0MMKN1MpJygJ9GNBt43KELz462beHaLYwNEH8U/fedVY6uMfTj29Qb+T+fcUEo5AwgR05/pltBwsREi8GpOMXZl3UCc69o8vNhGz6O1gTnoX39Y5N3XRX77Bcy/kwPMga2qyP/2hMj7rphEfbeEn8RFOeqLq9YZmtT40z18l8qxyJdW8MwZqE4VbC1iDTn5Xa5oKef8PuYaS7fMsMYu5hZLd+UI2aKDsnVmPzHAd35hYkDZteHhjOjdvkevLVhzUl8zxI/tmzifyGFdmOMCFBqVuimtwPLWQUlkoy7O2odfd4HKPEiZ24NtLywppdYTictY6Kkyq+JRzpf+IbIqlxdEvrBqgMV6COd0cmAqswRAEtRH6Xj2o2EjsMg7rAsSJKbOyX8jT0RSO1aQiIhiZkJ1iGPfUvOLYywWxURF5WKj4W5XTY+DWRsykbar1sG1EhmAtBJhbAYKUF1vYEEOYmMEHRXMIgNJBIv6yYE1u5tobb8egtUwLVpgR+OuMn9cHo8S+7w2EVPLZcmL4F3am7cO92wRsSZzIua8CxoQ9gMLPMhKIVYpI55EbMxHRctwHJThCMjs6gUib9qGky2kcKYsIVIULs/oIeW0M1YMUC6r8+j0MK7psycQYNZmVoZ8ZN/wEkeNoFtqZ1Av42gjyHx2qzk1xspQ2WWtKY6Vb2NwnLHPzck+gi6qE++XjSHFNgwDZQVdbQKXFMQif+JzcKBfWkXw8Og+2FgiVmIUAeXXVzzSqx2M4+IYc2FJszN09ntlkU+fRFBHDZK6BtQX2odLqOwM3ggRaFAbyddS2r6+b1oQcWJcG4XYBgGOQ+0TtuEYFU3c8HMn8DpLxqljPcWqWk7eqhkgPnatj9JRI3386POIPHz3DsrGBJx51qerGuG+eyXMaZ7rdpY5dq1kvbmZKR4rbsrZ+jsinfHrptPyPEiZ24NtTDVnjshnTuCLW1f2xpkedlFP7cApvLQIx0DQXyUyiu2FBWRZNmv48u5WRL73IhxkIVWGTGxp/8wxvQ3qWzCz4in1l3XuQPVMBkVb/Kuqv0DJc5aQyBqhM2U3ZDrYxMXrA2UwkGXRnhpVV8Sk/gequXFioKWK2DRRREw/QsQc67UmHNlNynSC8SSLZa+CY1Y1CGITPD6P/bJlNQguprotlVcJ4qPYVWUGYCiDs3s1Ou9BIFJSnZdmaGUIBnS7Feutwm6zoQZ4k4KJ3JEG/sg+PrNZwzhWImRw2JmZGAQypVie6IwRCLALNjVNxr5R5f1EWWlKZSfQmBkKPr+8ai2F9kTgCPPB6t2+H6TePraHoIOpfpYJC0ec4426Pc+NjmGiBj4E8U73MDYUYnt0D+P1Lx9DAMnMQmsq8tsuY9wbId5DLBRLPE6G4/UUO/LIPnSC6ETpuDtj625OXSOORSVCoFfSEk2vdLgZYKiZts0aPnuyb0DlfoBrWRzbxmNSwPdlWrDg4FrTWHfdEgLSph6zW1KlXM1qzhS43wtwrHIMbNmoCHDyUZsUMH8pNSCCc//mGaNss6zlZTjHxRYyZeVY5KFNo5VP9TUy5PLGMtO0YBnXzAFDia02qF90tvu6oS3Pg5S5PdCWvfuHxPn1X9ROqSGcL51DJYJTuF7HjqMUYyEpJSJTz6iKry2YgFnmYGH8nkuGGajPTKTs5s5D2QFuBGdCwCdVRUWMLsq/OWKicXQCzNAEMRa21aF9nk3wRr7J3pPFQj2URoh7jFyUJDoEPmrpZ0MZMmtDY5ckDna4q8PjaZ7Eu9CIsUi0xn9QQhCwpnRqqvySbZTqwscgpBph/CbqWHsK5K3ODPg4LlojvuME2S61D3emPWqOLq7rDQQIzRCOidklsmj2y3hemZhzvtxCMNcCa0m+/Zo5BmZJNurmgBLHOkGf7inGqArHsVaEo2Xp6qCM+2RgQ2M37ryS6adOwSmxBFbVOXyxjXO9fcMcWb5cIIJrJd6BJUGCyN91A+d6ZUGkf9oyNyK3BihXWjjfI/t4Bue6FkCI4PleWLC+Um/fsDLN73351ufSK4n8u4cxJ9+8hYCMgOO8FWORd2yoGq5+n45mFmozlIBeXEImr5giW/Hwgc2X1aFpDRGrxgxQSZ33pTbm6NIoB4wdYw74iZVs+wHWhop+x4NcmaQf4HtJHZXFsWnUdEvWi+flRW2n0D0+c8WGjF56mOFVivHdZDbnwoLI80uq0RJY9mNQFFl0b/1ubNVEPr+KwL+QoNR9rmvikWQpnuxjDrxnHRudaQH3sd7AdTdCceSbWwKaBylze/CNiq1neqZqWYlE3n8ZAclvnDWAWVjQBcQxZ7hXsc+c7WIn8ugenOvIN8d0kxbq3LoDZT+cIIEIF9PFgZ4j8nA8gi9lZuwOR8tKBOZmgtcGRWtWGBZMD4X9YUoxnE+vBAf6zLYFNX6KHwJ7n13GQvrYnmI+dmxhz2dWaNz9iuDYDHBEcL5JAdc/LIpsFe1+CeBlZulaU6TWxWfqunMmtoGln8QREd01M6ibFjBeIiZ0RSp1kJhib21mkvleijGg1kniKB4lgzZHuWB9ZogbWh4B6/DeayhJZGIln9WhNRR0xH7Y2LKlu9VYQCFtK912twJsQnN6qzgf8QXF1ETHYhfzY6tqsv8MgiMPAQ1731C8jwEejcehLUyMWi4CXMX5fQP+HodbuFFHgLIyNGptWQP9tSGyXSxVMUC7W6PI5hQMok+fxPHIDhJByeRcFwECafU09js66tjZcXm/DEfcD/D8O+PDQeCwCCBsc2pZiBMDZD7YfuB6A8HHQ13TSalGFohQLHGYW1vGPhz+9bo1IT3TM3XfgQKly1r6KaSHdU+OGts+MFPKTdCweFgEkQB5YsLyfZLWG9YCgkb6NVtPsFEnv28zwTw41UeQRyNb8P/zNIJKNxN5eluc8k+I1GaSOT9+5+f9dbB5F+S5fUuY86u/ZN1xL7fwxXMEtebVIb70V5uGmaiHJuJFKi4ZGVs10GlP9a2HTr6JYW2GTMzEt2ZyXGSqMyv7UFmWwNpQ8SFj37IrlPEXwftrMwQsTO/3SkbTdQTHpjIoJdK7JcOvNFWwqhwDjPj8Mu7/hSXU9E/3Rd553RxF5mCRY9PAm0BhBfrdaYEVUVp1GT+9kjlQTwM1qvWyO3QztHO1FR9BUTB2daXAlZOZSFYxQfaCz4+p92kBz529iWh8Hn5iz2ivAkfjZHCux5U6yCaKPAMcb1dx3SxPjIo4f1gwWngztLYK21Vc01Ew5HoD8urEFp3p4RgMKskw81PVkRljTMc+drwHZZs7OxX0FToKes2LjzHbUYpxHNK4aZs1aKUUEzhwMpRWRoZ9CT3LpPC5nO3eqoVzN0sdnOtc1zJLF9vW5PBejZo6uxXgy/qa4fm264fBo8+uWKNG6qNkjjn2SBlrhRRBykgzIo6YsBqBxQTKulpqIfusGeL8K0NtwlnGeZZH1lrhegOfSZ3DJSgau2czyBoVAYhl5owWu9hssSTMzO7yCBuBd6/fGnjOPFP/zf+NG4xqdGtGa1IwoUiWhj99EpT11SGahXrpV51ZmXdBntsbz2aepk5dpEdZOz7dNxnryMMOZ1owRklrqjvkDI6WAcUXVy21Tu0L6guIIEOTuNb5tzUxJVGqf85ckVJmui3c/feUkbBXNl0Laq1QynxSgO4G+wQxm8DuyqwpRy52tMTMVCLrMsuGhKUY2impg6yACAKY67oDO93DrvNSG+cfFFEeG/tYKI+WFvJGdc3lEYLA/swYEgwABrqz5KJIDA8xBhwbKt+KWF+gka9aIZlJm/cCC7JWRliw8wEKjQBYYjvcDEEFs2r5AIUMEWa2SMMOfaNyJ45IqgHPqgbDVL/1UpHUE/n4GWOO5a1bQqBYnYmsjhAUJA6yF43QWgkQnDwowjGEBTjVbWVZkSmyNjxelZjjwDLlTsXoz+xLxezKwgTzgJnEZohzb9bw/rUhzrtVte7Ar3ZEntw5fi5kjmW7eB6OceIC07NdRblwt2L9qr7vwvHHO86CGAHIzEPmixmMfPBFIbfOGHOvEVr266GuialRUffVBawZ/cDaOoQF3CcFDzdr+K6e6pu0fUHLVht1PMtyrO0VEoz5TtXA06f6VpLL28yzjCBLT90SnkXeCikCscstjB3L2Zs107g5asXk+MBI5LDidd7YD41WD60X07nuzczWNxKvMg9S5vYtYdn3/wFx/vX/Cw46SKzmXNIFOfKwcF1vKMYjxiJGWqGfW1CXFJh4paUZGQ00+MXeqCkeIzJZeRHbgbN8Q9pufkEoJqZqylS2ryBUMoXYnbiYiKQFy+awUR+dL+vS3PFzpxh5Ipdqtuum4F2Q6KLpYxw2alaWaWgmoDLDAktqanq71Uwtr8lwdHfNlDSvv67MiNoM9z4qWtM6jj2l6xnIlGP0yHE0M7M2MLBsXmGV5+O4OhlS/aQKn+pbZofsrnxgU59hPJzMtEAiDbQ6WuryUsuGdRWcWVIndaD4lcWxlaloMw+0985EpK7XkGgWbeKLPLqFsXm5o7iogvVIolx+NULA/XIH5z/OKQ0VvPuWTTjLTB0ns24Mllne81M450+dwnci0uxfptccetZUkW0UDsr4fD77wewWlXNj17A1nHP8ibzDkv2O4JrbE2tlcCfbrRho9qhk/LUmAlhiLsbFXNAuhkUijZjyAO2JduIORcpDzJnUsfnRCA3r1C2ZUnEvgPAjdW82tfzE7+OgiMD/ZB//tie49/zYUVaA8/9qExlGYtXytt6wbEsptgD3bqyeo1aOFU+XHf7+Mkt1tMT2X37x+OOkjjif/3nJ3vnD93f++7R5kDK3bx3rTAxBH7tg8zy5C4f32gIWTi7Ek4KIlK1RWzm2VGe3hPQpNShIbSVtld1yRbBYPL+MRT51tDdPZEJhBNvecq1jw1EUUnNKVLJlGtYVFV4TS8EPAmt+6Ccmc04MzbkunFszFPnUSezoEkdk5ouUxbreche5U8EOr6gAu9PKXCAz4U52J00GlmCYWRkW8XpragHF8ugwSJbpdtKYj2P65N8/LcA5dMbabNIXWR7j9229730NXClsx1LQvpa/KJ7H3jTM3Bwo44JjXA9Fpgl27WEBpUQGEv3AygAbNWSi3rqJYw6LcDz10MDTzC41QlzHXtkyZ35iqscsDRVSHJe78UJqpaPTfczNjTqwEtUZMgZUTaazHapzq4fmnPKCdi8tYs6za/BmDZ8jgyZxUWLK45eoqky5eW4QYhfHudjGXNuq4thkfRGPU1MmHkufd+vXwwDTzW4/P90MwfbEt7JLfWaYohMDjJWIdcMm2J6A16WRKRbnx47fJWZcb8oLuAhGZgU8p8hT1o+CgCMPWcxREUJ2p/vakbmIDQ/xN++9hs+/vHgYSPvSomXCnt7Gte5Ujw/syKQj3f12QUzsiHi53zPRDc0xAN/jzM1E3nlDnPAjIi8tft2Ua+dByty+dYyUyF4JTnanauC6vTK+0G/Zwv9FsFAy80AVWu4Ct2pw9mEB6PhyBAfPMgYXFTfDovepkwiE3rYJACB9d3IM7oGWX+y5AFXEcCGe7tAI8iUmphybwiX/xh2vnxpeot5HDfmj5+A0U8Fx+y4wNewxQvxFLzD1zkzuHqDcixUT7VBdEXGTHINH/75dNcwIFWeZ2bkXK8XWl6g5hTNcL8DxsYS0MjIcB7EFdHYc57BgWB7qYiSO6dYsjrFTXxni9XoIYOPYx1xJHDy3Ky0cp1uCI/yOq7Yz7weg13qpBiYVPCtS05dHuAdH8Nxf6SCrR0p6JbTyFrMJLy8CgEoBvGKCwEBE+8ikNkfYOLI5xb8rQ820OBZkX2kimOgH+P5Q/XZpfBg8ndehSVxlcOVwQBz7Mz1c49s3DMy73rCMGimziQN6892ClHIMvNhnT2igl5ujzakJ7GVanmVZ7eTANGh6gQbhvpUC2Uxw4mtJboig4rUFBbQH1qCQAOVybL/7iQW5A2X+EGuVOjgngyv2ljrVx7jlx9XTklKe9UVBRWqksOT83ZfsPZ8+ief/zDbGd7uK+2d3dAYznAvc5OQ3GaXYNKfuR006QFba+cQ/Eoldyd7/R+/9s/dg8yBlbt8ylr33j4vz0f8ZX7TPPQSnwgWFQNbEgcOhUiN7rDx8gNd2KnjfC0soLSxMRBwfCxCDnUwQCMUudsudMdRFP3ARgY+vGAtqqNyr7gdTvGTJcP0IktxuUMs8BDLyM9yhZyLiFaym7aXYeQ2LuPZp7itPnRfqh5wYYNG82LY6NzsgJy4YLMzm3IsxoGMH3bF/WLI9E1wX6cg+MUKZUawnPnbFdwuYugoMrUQIAFhq2KnA+e9UDgd/QWL6JQsTjG3imKy7k0n21J/G0D73s9Y7aVjE2BBMWo1wTjql1LGsVBDDyW1Xcb4zPW1+WcOzoCMgviBIDMviyOEsAynq0wLmm68ZuG4JDRdLiWFB+gEyZG/axvwjuDiI4RAJCqU9fABF18yxrM3ZHsb8BaW1305+fVS0shufN0uVnt4DlYJpdOaOGH19o34r1uWgbIDW9hQZAYoVPtS9FfdTTPBeLzNwbhAjQGG7g33FgbH0SJ2exEHvH5ZAdivIOJYVFP32Dbxnp2rnK8WYNwysXlK6cWcs0mujlFaJcB8X26Zzcq2B51GORdpHSlZHbbNm+idnerfeM80RjCFl8ysR2DlcM26+L7OxOq6UW7rN63ezU33MlUL6Nacsz4OUuX1r2bCIndvFtgYKuuN0BGlUEdvZENgXFpAmH/tYBCY+AKXslMsGZc0pdinXGod79rBjLnUlKObEnjL3YkFiAmM3AwnPdm8LE1tg6PSpqssGi4VEQZyZNRYk9fDRPZHuSdNyIR16V9PhF9oIZtaG+Gy3ZIt7ZyKyq1kCsiO8DMFeI7y9/kO+CV/iWuA1LFqXXvZKoYMlKJa07YqWKnaqeH7LI9tRNtVxUqI/caAZwd1rIQVuZK+CY57ZwrON9JllAudHsHAhxUJfUKwGzUuhUfHYHu6L2TFmfmoz68lERWMKg/V0/EINiFhCKSZWYijHhxk1NMq3J64FOhMFb3dLCIynBQQpBK2S+XJQNqDnIMD9kSYuOnfJBKrNkOHZrmqPKd31D4q4rm+/ZtlAZusIxCUDbVA83AzST6F9cpx9eQVOdFBU1lRkmQ3abgUg5M4Ec3CoOA/SZY91sAr6HBRFGpnIWv+wgnLkWidoMvlEtAmgUo05/JdbGONH9q2f1KSgWQjBM+kFyE6S/k3V6doMGVVip5iZ7AfabFDLYGUNcG/2HtOs0rUmMlqNEL9TjXq7agHtRh3HXBwjU8cNwKQgMq0hoN6t3D4jeVx/HzYf/Er6RomgCaW2I3HkwyKfPCXZe37o/o9zxOZByty+pSz7/j8gzr/4X/FL5BlzZ+oZLqEcGQAudkz5tTbD7oNATC9F19hl3YVmju3kKMf+qVMo7zRCfEETFwsumSuZg3OvN2/VMsibn2Axo2Q8r7sSmUz3UauHpjRZTFR7RK97r4Lzn983efy3bWChu9bUxmuizk9T8xcXwN5YHmGn1whtp0h2SUOp26MizluO4EyP7vCodcLaORfs2LWsCGnY7E7M+vtQnZeXimzXTHiNNNqZPsunt3Py+plIQTM/7QkWbbKh2pPDKqjHGa8vl2Yng0GeFIA7Wb4YFU2ojj+ZYPe+NoRTZUCQOHCODAaaU8s0FFJc20tLGF8Rk7LP99Q5KJt+jJtZ4NtXbNJQSxGtse2QS4rnYcaqGZpKbSO0Yw0CzI3Hdw1rtV21Y0sG0CfnLrM/rlgGQgTzZaK/+4kFCt6RssLn1zA3V4cmj79ds15GNHYP9jLrIZTPprUmh+nWnFtnehj/h7qHMwjs/k2Keb7BKLOtpPP3dQMTKguwM8G8YObyi6u49koEDEovwByuRNikkD6et7yezNjH752xPWO2EGhPcP76zDR2NjUI8VP8v5hgDtZDzA0KzoWefUfdDFndruoTFZPD2JSjoFkqWRP0PS1g7PPjdDcjuJp2tifOy39fZHEsWecv3vtxjtg8SJnbt56FhRzzI8fKYYbi5ABf9lHRGBwLE9R4W+pE6EBbmj251MKuJRV8ed953XpreNlhjQaeq1cS+c3TWCA2a6ijn+7BgRQTLKR5XAp3L0fBcFzwuiWcK99zh0qwfiISKFUycaxPSOJayj/QdPhEaa1vVfxMfWY02C+uImPw1k0smkzpE/cyKlqPo/UGruPCAsbm3evmxJbGoGA7Ys8iiEWKmnViWwERZDNYpggVH1NI7T1Xm1iwyWg4MTCK9eO7Nt4lZWy90sGzedMWFu2D8t2xDnkjNiF1jBpcjmxeUNZfxGjnbgZnVtuEHgh1T9b0utkgrhLZDnijbn1xilqaIpCVlrhwunl8w3rDrrGsQSzlzs92MW7nD6ysQqZOPhDMM0zyLRIutEUe14CEIPPEwZi2pzgms5MT34DfI9/0RNgSgrt7zoleCcdh6WyrZqJ+ZG69tmB9eRzRDFByWChQBEqq/+GcyLevW7fqS20EeWwUKLoB4Xd87JvOS97Y34hAdmYT/ATz7XTPMknF5PD3k00GvQzP6tWOaaXczirRrQqxjljJkuebKfh2ZajPUNevg7IFDytDzIVdLVMzi7dbMQFJPzHVbUcwzk/sHg5S8tilsGDikZOC4fXuhBM7rkliSynuM0+cnb8p2dJ/e/vP38HmQcrcvuUs+8H/izg//y/NORKrQLGyq01jmhRSa3s+yzmcUmyOj2JXM0+VN3WXfL1ku+XPr8Expw4WQS8TGSs2hDXl2EUpipmPL48RDHgpgpzb4S4mBZG+pryv161rKx10MYaCaWVkvX5onpYlRkWAe7slfP77X8Hinle1FDmsq/CWTaS9ScNly4HOGNmRklIZR76Vl+j8vFSkrAt7KVfuoeKsk0FzREQkSY01JYIFb79sOjaVCIvuwgQOhwwoR5QSWzSGRlVp2lT2pbz3IEA5zMtMEnygGCM2UCxp2WWi86WUmNiep0EaAaE3WUCaJfBTkfJUBeeUnXWua/1q6Pi4S6fGBrEGVOfdrZgzpagfcR+z1EoLXZ179dTo5zMPc7saHc5cOZphOtnHuOWNJSI2QmRriTzddrcCYGZ9JvKOGyYmljjQkXE1Y5KK3GyWx+xJHjT+5RXDCrFDcUuDs8hDMMbmecyssCxbjbBRuNY4rGnz7DKCn9oM9+ylh1V+L7W0+WaGe1w+EqyOfVMYnhbwvHol1YpxrL8RGyheauG6btQx1xmEJTr+ByWsEbczquMycMuD4hcmBhr/wppRlk8qNm7ia4Yxw32UNbtLgbnmFIHBuIj/syFivq9W5OHYjhwTKGmQQYA5sXAE397JrjZvDf64ninGywk/IlnwV+58nGNsHqTM7VvXMgcOJ3ZFCqE5iytNo8DSqW7U0CL+O68i+p/qboLiWY0QDoZy8aw9P7GL/7emcORMfxNLUNVyyfIQgcaFtsjpHCX0ahPH2aoBnMduw9zJvbYAh31igJ1iojvphw7g1NifhlmY4xaTodKyj2tudjerzxCotKbIjASJ4XHaE4zRTgXXeKl9e/VQXiN3w47AqYngGCxxjH2U4EQM7xBoepsdqfuBiKNZhS+vqIBWbIyOaQHjfrVlDR1v1PEa09iFFAFAfWY0aJaoGuFhx+ZlIpJYaSd24WDJsmBWK3XgLNpTPPPO5HCTQxErY7FpYH7HzSzIpRacM0szqQOn6aU4dqCObFQ03ZHEETnbt668NF/HlFRnRw6XInjPIlaC4dwPYmQs1gYi33XZGGjEV3CHzW7gZX2+w4LhU5jFHASWBRv6Vt4SgTNb7OPYJQW6XmijwWfqgL20q1igSa6UMtSSI8cyLIhs+lZaeW4Z18jv/cLEHCdpuhcWrMPziYH1/nl81/RvmE06MTA5/CAx+vKwaB2Z333dsFLHGVVsaY7iSIqpUdkZALPk1wvAWjupTKWbFH59DpMC7uF2LQoS97DK7ls3rXHiccYeUKX43lh++2U0d6X6Mu2VjmSP/YhI484fv5u5d3/L7e0nfuInxHEc+bN/9s/e9j0f//jH5Tu+4zuk0+lIuVyWJ554Qn7mZ37m0Ht+4Rd+Qd73vvdJu92WdrstH/jAB+TTn/70V3Xeub3BjZRSBg3MkowLVq5IHMOApBrQcEHzUyyG7YntnpkBaU/whexMEChcbMNBD4r4/YUlBBIiAPot63tP9lHiqc2s4Vo5Nkrmp07hs88uQwPjsyfg1JiajR3sKK82kVbeUkXL/TJ+bmd3WjTvZAQr0lHGCv7slkxCPfRwD9yNXmve+ZiFVBU9PRMB4zM6KOmOtGDic2UtDTy5YztUlrBiBd+SDZQoGJbshsUxxn9hYunsIMHxTvXxHFtTk/9/ZN9S7V6G8S4oSLSYWOkqiPE62SEimFOXW/j/+X0crxegvHG9oY7ctWCyH9gcEUEwRjbLftmorOsNjGtb6btXmtYskWWSJ3aN2XKcsQ1EKbYyAct+FaUO0zjfpwWwXWLXOm6LmGYQjeUuRwwD1p7a3MjEANGBBjkzDYqIi2G2bFoAOPtaw4JZfi+ZnamHVnY6MTChu5EP/BhLZdMCtEhODHB/FG3slSyo2apiLlPFlc+PtjZAB3XK3gcxNjFBjDlE7FMjxHlP9+y7dmEBz54ZW4759QbOQ50WEZHXOnDy04KV0wh4JsCaZSsKIb68iCzgus6to+XmvFEDaGlkGkp3Mm4m3AwRQn5+iP7O0pOIlvuKIh87K3K5JZmye7LHfuTO57lH+4ozKZ/5zGfk53/+5+XNb37zHd9XrVblz/yZPyNvfvObpVqtysc//nH54Ac/KNVqVX74h39YREQ++tGPyg/+4A/Ke9/7XimVSvJTP/VT8n3f933y/PPPy8mTJ7+i887tjW3Zj/wucf7evzbKKSWwY/098ax2XpvhfUwX5zEBmzV0XX34wJrOiWARerlj5YDtKhalsY9FlvTDQorz1kNN106t9BR6CuLTLznT/45YL54L7RxbIrU28YUU52afIFJpRQwnk8mtDe7ux2ozHDdxrLsxGUMzD4t8IbMGaVPNqlxo4xoJvFuY2A6LWAoRza6oky+HRonma83prYyX/bLIrqNOUUs+LA01NBVemlnG4FoT18X+RnUFR+Y7SQexibE5YrvH2kwkmBk+KYishxKDhJcW8eyX1Wm1p3Cq21VrecAsBrNeV5tGZX2lY2DPUAGsT+wig/bUjs6pAjAmB2UDSIpgXk18nKNbwjnXhrc6IVLJ8xkIll1EMDcpTsZy0rAI50w2GLt48/3sUuzpPCQegpkBBjqxC8ccenZsMuKYFdupoFTaDJFdC3U8ydB6agfBy4W2aQSFHubV6hAByoUFBFXDIjYNgwD3e1DCdRVSjMFByYKcqy28P1Q8VDlG9uWZbWQ2n19CN/SjRtXhcoxAgWKQxGxcaaE8xjKgnyI79sSuKVLze0kqO4G67amBn4MYv3sZnkUjxDPulfAMWLrrBYfVd3eqdw9E7mTFVCSJDZfFUmC+HUfuO5k1PiTyR77y093NvqIgZTgcyh/8g39QfuEXfkE+8pGP3PG9b3vb2+Rtb3vbzd/PnTsn/+Jf/Av52Mc+djNI+Sf/5J8c+swv/MIvyC//8i/Lr//6r8sf/sN/+Cs679zmdhNoGMRYAEkxZMqfi81btqwXylgX/Z2qSqN7oNb1ApOkfm0BGBQ3w3Eps++loGt+cAufe3bZFqizPWvwt1U18SzSnjMxZP1QF+B93VmzLNUP8Bk2HGxNbEFmKacfYJfVmsJpUrflK120Fib4/E7lcH+dmYdjXm4ZoPRSG9e7OrRAoE3wZmiBgZeik3TkoYMwmShtvf99dcZ5bI0IFuWTfSt/iOB91MOgPgZ7BB2Ucd3MfqWaaSFjqjXFvTHYETGsCDMzfmYZFOIrSJd+eVFkvY6/D4sIMLol64bcDzBGtZl9druK6ypHyIqwpDMIMMcecbHL9jKdLz04YBFcO/EctRnmLjt0d0si77oBh/vRc1BaXhlaAMsgkWVKkcOBhyOm87I0soB0dWiBBZ9dkBgGRQTPNxXTSOH3LiyIjDLMEbZniBWvw/5IlcgwOZfamOvnuggg1hv427WmdaIWwbiwRHiqb2qwvKeLbQQaS2N8BysRMpnMylQizJOTfcUjFTBGDx9YuXJleBhszUaA1xr4tzXF+ItgE9MI8TwzB6XYzhjX+Lk1vK9XQpDChposEbHcGyvW6tUF6z48KuKz57rI6r3asXJkc4rn05webkdxsY17ilwDoJ/s42/3KtDm5eZ5Jcaz5cZCxznz/+q9HetrYF9RkPKn//Sflt/ze36PfOADH7jvYOELX/iCfOITn7jj58bjsURRJAsLC1/VecMwlDC0Gn2/37+va53bg23ZB79fnH/+y6YpwsWBmQp206VkNxe6/+MxLAALE5QZ6qHtLHcrAFc+1AWOhTiHkqah37yFY/gKtn1xCY7jQhuLVC9AYMM+GewpdKYH50Xp/a2q6n8IUq7FBOfaqeI6BoFqNfi4l27JsgnffckW9rds3Vu5h0FFWDAFzEhZIY4CI4e+YRhYZlpRcCPTv2d7uE6quu4pZuDJHdPmoHPiopnvXSJyK7vpqi7+7Cr7yP5hGvni2Bxg/rObVTwT4nuuN1QdcyLSmOp96bPKO/F8UzzRuRLIYfvsCTiExTHui3iC2kzbDviq/KslnZoGT8+uaBDjIAvVmJp0/ak+HLqjwdb1hmEuWB7YrVgzu8S1vlIdZVJEHubys8uYn6RcO5lIzTUWCgG/NAa+xAatDHHOo40CaXkdDVesR9W0AIByqNmUSgSszZdWMZfqM8OKnT+wLGRdAycyvE72LWB46MA0jpZHCFDXBpjrFxZMq4ZdjQlgpUrrfhkZqUf3MX4Uh7tRx/gsTIyuSxbL0aaazSl+btTx3Vse2fFLMYIi4t1WRjjmp09ivH/jLI55rmtjG3nIwomYxk1rimfLICxQILefiAw1sH34wPpasex5rWnzv5CCnVVXzNKwiDm3PELAe5S2fTsj1knLmln5L939M18nu+8g5Z//838un//85+Uzn/nMfX3u1KlTsrOzI3Ecy4c//GH5oR/6odu+98d+7Mfk5MmT8oEPfOCrOu9P/MRPyF/7a3/tvq5zbt9i9ui+si0S/EsgZCEVSWN8GTdrWBR6miLeL4HZsTZAUBAeWP18eYTPtCdYXDMHYlqF7FZNAS6IvtaVX1tAcEOmx8wz5cue4jwizaLQ0benWJxGRTi0+sxEpWozq3PPFFRKnYTTPbx2rYHdmJ/azjAv+uVluJf1BrJJ/cBUV0/3rMRAbEopVin3AA6GmYqlkQEQGewxs0FwIUtf7KHEHfe2MoVa08MLKLvPUiPDczA2W1W81p4avqU+OwwafqWDz1D3xBHTkKlEOL/IrbtLL+e48444H7yE6hjYYLKuAcYrHXUoAa67kMDJ7FXwDM72AD6OPDhoBoU7FSsJMXiYaPB5pifSG5lWyNoApYheYPNouyryvqvWE4g9hM51cUyKyU0KGN+jGAMRw45EnjmytQGCppODO+tl5DV8yBTKxJ77mR6e9SsdzKPEBS7let0Aq1ebcrMJ5Y06specR62pyO9+FXN0o46xWhoj+CmkcMKdsUg9wxwmRoz3zUyUCJ69r3O/mIi87wqewY065j51hE4M8Eyb08PB3PuuoNWBm+F6Xlyy7uunewioOIf/45dE/v1DGINyhLGkSCD1e8Y+soos9cYuStJBLPKODZvTbB8w8g0jxjnMMWJWbqdqYHaWnCl4uFnD504O7kwpbk4lc3/89n//Btp9BSnXrl2TH/3RH5Vf/dVflVKpdF8n+tjHPibD4VA++clPyo/92I/JI488Ij/4gz94y/t+6qd+Sv7ZP/tn8tGPfvTmOb7S837oQx+SP//n//zN3/v9vpw+ffq+rntuD7Zl7/hhcS78PSxKxJ+0piZ2VEjhZPbK+HJTUn1lqPoWnqXwN+pYuPfLBvpk2/enduCE+oGlrg/KcBQ3dDHuBwhUyM7wHNupshsru/SyxMP+IF1X26gPrRMsO9KWI1z7dhW7qL6Y8ubiGAs3cQwi1rfloGyZBzqnbslKS9cV0DspGMC1rNdH0SmyYtzMerPcBN1lpkBanVnfHgrdEQhZm5mCqQic2MU2zkfhs0kBjoP9c8oxjj/2DUA5LWBsgsQyF5s1HGNxbJTW2LGWCY3wcJ8UCtQd3UnnMwksNQ2KIiXFqbywhOfMdgTswZM5Iqd6Glz6eA4UbJsWsDMm9mcQIAOwU8X5qQBLqjnPTQ0eT8uNfoL7WteAtJiaguupvpVY+Dn2zMmX04gpIV01UrxUHpA5LRzP9mBGhw0Lm1PtX+Nq0KZZyKZmjS62MXcIyGWQnTp439u1xHSpfVjw7FQf93RuauXLhw/wnQwLeD+p2QTrkpr8/iuWmelqloVZpkCD2eeXVUAuxbN8uYNg6WzvsAYIgxb22GF28CizbqOOOXemp0yn7PB7eBxil4g1y+vZkFq+MsT/qXxbjo2dlr+2nSqCv2KC+6tGCFj4nraWiSY+/s3PfRGTs3fldWNOlmXZ3d8G+5Vf+RX5/b//94vn2YKXJIk4jiOu60oYhof+djv7yEc+Ir/0S78kL7/88qHXf/qnf1o+8pGPyK/92q/JO9/5zq/5efv9vjSbTen1etJoNO76/rl9a5jzW//IMgybNe3a6utufGJCYuz+2ppiUVtQFs/VJhYtaoUM1NFt1PG6CBbz77wKnMJ21coRSwreqytuYuIbnZBN7MqxZRwmvnUB9jILVsi0yS8qzy2b/P5e2VLXlcgYH19aNSnt7SqwKxT/8jIETQ8fIOPC7tAsQS2P4IAyMbYFdWM4Vgx+iNlohvgsQXeOXj9378tDOFEyNvzEqMYEtzpiAQhBz8MicBaUOe+VcM2P71npaebhs4XUymaOGBupPlOApGammrr7fHT/cKaAVPMjC7hEHgKB55fs+iIP2jI32Sx6z6f6lpViTyIyN15bMMXPkwPMMWZEKIDmZoaLOjmAPkneBgGc0eoQ83O3gnn09DbmJLtxx44FFXnxLmp/cPzDguGfWA4tJghoayFKWGNf5EsrmFurCqpl6YhjzVKhI4ZD6Zbw3AgYdzO89vKiNu6MLdu3WcMc+46rIv/hIcyT3/fyvfW/enYF18eAi2WR9lTkd7526zF6JXwX89pAtBeWcF2dsc35r8SuNa3Mkg/MP3fCxCKpRsyWGJx321Ut/dZwjfkAZ7eC79jpHp7LDc0wsb8TdXqGRTxDriN8Ppot+1r22Lkfux9ffF+ZlO/93u+VZ5999tBrf/SP/lF54okn5C/9pb90T4GCiEiWZYewIiIif/Nv/k35yEc+Iv/23/7bQwHK1/K8c3uDGpVe98uWCl8biDjq4Nlavqjp1IMSHAx3sCsjOKatmqL5I9TMSzGcZOxi0fjyioHdDkpYNKhBEcRwOlMNgugUe2WRjYIC1BwtN5WRHaDIWCZYuKgjwl3+M9twVpda2mJdHefSGLvTtQEWqoOS7dYvtU3DhWJkGzWjOw401U8wKLMebmbKn3nnRsl9sntY3ipH2I0xA8EslitWqhKxHf0X2gAC5xfZ2sy6FYsAZ7E4htOhCJqvIGeqipIanBWsVESKeaLX0NeMxdhHgHC9jmwTewz5iWVEaAPVqnhp0foRjX2jMtPx0ml3S9asL3ZVqv0AQlrsxlvIEERcbSKAmnlwjMsjBDJDBSG/aevWOV0PRZ7Qa2xNbXctYkBcPxHxc5852qvFUXAmWVYsiWX6E3nGuCqk+A4FsZZONUBlx/Figp+tGn6nnP2gaL2aBoFmWkJ8p6qRYWz4/Xh8V/v5zET+o5fxrG4XoLDLL++rHmK82FE6LOD7+uj+8cc4WsrJ21M79v+80u392mkFteZbPpA+z2aa1+t4/s0p/v7iIgLyYdEyLCPfeiVdadr3ab2B8TrZt8woFYB7ilN7ZF/klQUE9S930E+n9pXf0jfa7itIqdfr8swzzxx6rVqtSqfTufn6hz70Ibl+/br84i/+ooiI/IN/8A/kzJkz8sQTT4gIdFN++qd/Wn7kR4xD/VM/9VPyV//qX5V/+k//qZw7d042N8FUqNVqUqvV7um8c5vb7ewmHZlU3oECG6moSLYClR+pSUB7YQm7EWpKuBl2gSJYBH7vy3BU15qWsaGzyncApuYHu/vSkZ3pIaAgoLA9NVbCsIgF6EL7+DpyPQRYtxQjSDrTg4M5KCFFTJYLHQI1EJpTkarurmaKg6HK57BouzZmnJgF8B0DopLRdLPfUGZBAdPuBPyS+hu5JrgmYhTQxFHRtYY5D7abdwSvtScWtJ3sH6bEXm1aySlI4NxaU4zXesP61HBHT6on1VsHAYKBm0q58a3jXA8xT0hrrURWMtioW5PJ5akBVBMNjrplBDiZICDarmCsH91HUHpQxv0sjuFYV4cYz80arr8zuTMAmgEK593dFEKpmssgM3WsTQE1XdzUnjEtLz5HwCfxOmHB6LPlWFl1U3sPdWCIpQkSXOduBfPzbRsWTNPyiqmZYwytYmKZRtqZnmVqlsaHx+A42XY+17sZWzQc9/l7schDMFpM8Fxv1A2zw75hFNFbHVpzSjZTJK26EllwKIKxYBmpkBkGxxG8vlUVOTGQzPu/o//UA2pfEbvnTraxsSFXr169+XuapvKhD31ILl26JIVCQc6fPy8/+ZM/KR/84Advvudnf/ZnZTabyQ/8wA8cOtaP//iPy4c//OGv9SXO7Y1o7H4705Q8ha0mPr7UoWeYgWkBTksEu7sLbYD+UgfOdr+M3c+oaM3rfudr2DU5GQKaXmAlAWYhiGUpKoi3FMMpXWyrkJmL9xNQmznYWU4LWHSnBZR4WlM4BPbnEcFCT/l5ptc9BfcVUih2rg6RdQkSkd2qyF5mDdEoW0+NCxHrAs2MBlUoG6E1Nlwb4hgjH+OxOjQQZl5tdadi2jDEv7AT7uLY8D8n+whOqGXRmuIZbFUR7ESeyHL3MKZit2ICbHS6NzNaZc2uxFZGmRaMYkvJ79hFQLA6xFiQwsmMDu2hA5Fa1bBIoSdS9IxWW4rx/HncURE/UwX/+inul0396KxJSaUOTSnGHHz4QLs+3wNDi/imezEvE0nEuiOLGP6HrR7yjQGpKpsP7DiO7Kt0O2OGK6/kzPLYqIjvVJ7tFSQWFDCLMS1YuSQTY7/kzc2QNWAzvrw5WlK8Xkf28167/BKbwwDluO7Bd7OjGS0G/iII+qhgzAaHQYKy1ckBxoyNT59bxvUQbD8tWBdvaqPoJiarf0hk5f4u8/Vq94VJedBtjkl5Y5vzW/8IzodCS+cPsEjvVfAGlnmGRZHvuIYF4r3XsDD8f580MCcZIEtjSEx/9yU7yWvKJEiIicjM2bGrK8WxYheO/uQATr4aGS164iPQeXQfizl3XF5mQYwIfu+MsXhfb1i24sQAx2tPjPHhZLiXXmB0SOpadEtYKCPNEOTBmnmlVBE4kHy25ajdqFtjv3KE6yAIdrNmeI3azJR8+X8ROK3dijIalJ2wVRV5ZgeBILMr7Ng7KhqWqDqDg+oFhlMZFnENtdCo0tQESVy811eHfL1ugFpKty9MkP5fHFvTu3zDxnqolGAnB44N8Vy2q/bslsaGFdgva7YiM8e3UVOBvgi4nWsNXPsz27cCWBkUMItxs2R5H9gJUmhZmrsb7mPsGxC5MzE2F4/FUtrVJp5xbYYs5KLOT0fgSGPFLLHnkJeaPpGf6vVkOVxSZposx7Ho8ue/m7F0dS9BSuzimo9K2X+19sIS1pLTfWsx8My2BfYMsJfG1vGa9v8/Zx2p2QJh7EtW+b997a7vG2BfN0zK3Ob2QNs7b2CB26wByS9ipYotdUilGIvYe9bhuLnwvWND5BOn4URO9wCSfXTfFgwaHaSvjJTWVMQNtX37BAse6capg50UsxDdEt7TK2ERZfq2p5mRIEG9ujUFvZWAW+442bWXmJKlEcoQTmZMB2pqlGIs2KQtP3xwa3v5q02k0I8u6EdZCnkjC0dEA5/YnN9BGZmdnuJ1CIDl9Yrg34nSwRuhgU6LiZUO+sFhSjCbqeV33mzEljjWLC72rMzRmSC7U4kMgHqtaVkc9npxM/yNejeP7VnJjz1RyhGuKcmdmzonpVgk0ptjULhXEanMDNDI8lTi6nVo9uvhAwRBLy1i7N62oSVB3yj1bFNwpnf/jpSBWSGzsewHmONNLVFWIwM5VyIE1FSbjXRu9pWOfraH+2WbBBHLLG1r5unbrxlNnYwgZivKykAaKW6jOcV4MVhNXJHsNkEKA9y72XGB2NHsCFVhOSZfa8jjuS6E2caaUWGPrrUhnv9Mx6M1ufWzZLItTAz0WvkaX9/rzOZBytzeMJb5f1Uc+bDIf/q8yG/1kVFZHSLQIHPmdB/6C60j6fXTPVOBrUT4/ykFxU0K0MZgg629sil4jn2Vek/NqZRikYmyNraq+PuZLhbp3QrYE14KJ83SwXMaVNWVWuvq/w/Kkr0dpVPn4j/F7otMlv2yNUTsTGzH3ZjCyRUU4JkvG4lYav/EwKjbg8Datld0p9sL4DQLqXVlLcc4Jks1IgpULWNcP3AR4F3qfKyMrHP02DdwsyNIYQexsWbIXmBgw2CHwEvKrYeiKfZEJMigTdMtGZYk0JIFO95+3wVcI+nHJ/twGC93jB5KeX92o80EgcF6Q6RXw7j3lH5+UDJBMjKKuspeOtnH9W7VjA7qxMYIak6xix7o+CSu0UhfW8BnnAwA7HER4+uIObxXOjjP2tACRgZ7R0tGk4KBMxcmCOKIeWJ5pa9A4npojjzv6Ouhyec/t4z7yr+/NjP8z74GqY8cYVPlMxsMYJpiLRRCDwFnMbaSaCUyMTMqQe+Xb6UL38nYMuNo+eZ2mjBfDS4lb5UIZcOdKnRzyoptOtm3ct9eReSxfYyn6htl8mGRR7/60z9oNg9S5vbGtG+/hp9XOwhSvuvynd+/OBb5G78m8h/OQRyKWIL9MnaJxLzQkaWOlQzYn4e9UugUEgf/Xm1i112fmZAatR52K9iZP74HR8Xd+dkugpu8nsfpvlGB6bTKkTF2iIWZas1+4luAcq1pWJJH9q2GTvpwKUZWplsy6jGvtRlawELHfKNuwFK2G3huGY7l0T0s0mHBsA1UsWVZ45OntANtAidN6e/mVB1+YH1y2I3WS/HeRnjrjrkzhoMcFjWYEVMcvdrEcyBdWMSaDzZD3Cul+5fGxt5hxuDEAJ9/tWPdf6kAeqlllHeqeJ4Y4Jo3ahij3YrhQLarVjoKC8AS7VThfCN1yhTdo6BX7BpW6YuruH7+vVvC/YkgIHznDQVnula23FR2F5kozPR1JvfulMluygTz70urKFWwt9CkgGe+W7kVT8Lmj0fPRWpu4mIO90uGmxkEOVyZBip1Bb8fLU/mLU+ZFsE1N8JbFXWPs69FgEJ78xbm22+dtq7n/cCCwwA4mGzlL3ztzvmA2hyTMrc3nDlMk361xkzJntIoiVNwMs2aKHOFC60IFlUCElmO6AeGpajNVAjLt3LCesMcUGdsSq2netYtOF+yGhWNylxMrNkdd8nUZpkU4LRIrz0xsNp+XpyKJZKDEgKliW9OhUJeMw+lK5ZrRhrALI1M7ZYy3bGjgVKCrNGLS6bfMFA9FBGRX37KlHS/55KJwW3WTAuDjJSp0qBXh9Yk8jhw5U4V17er7Jq1IZ7jXhmMra0qynjn9yVr/ZjNmS//HMbnptCd0pavNq0VwtjHcckmYufkTBA8Ra71fDnbw/PJgx6ZhREBJoUg46tNHKsS4VzEObkZxi1zoGZ6raFigQkCjsTFca+04IyrOg8fOsD5fWXIkMm2XzZF1Pu1mSfyq+dNQj8Pmm5NMWeoHVSbAcslYqWevDGQWG9g7p7t4TO+Up9nngV+nMt5SnzmHNYaYpNEzuV8iek4Y+nofgGyX4m9toDs1wKC4uyJP/P1P+frwOaYlLnN7au1fgAnd6fGfFSDJLOGWY3EMQZLMUGJInaRZYhUC6McWbO3cmyOZ+LDmawMcX6qn15oI+vB8k8vwM6yM9ZyTNE6Ijemhq3plrRfisABcqd/o46MSegZnXa9YQJ0meBY1AARxQ881IVTZT+fjRqcSjk2R7Q4tgxFWBApzBBg5bMV1NvYqRqQMohFanodp/oi33YdoldrQ1wfu9gyy8R/6dQSBwGIn8LhUrI+X+bg83Qz62JLZc63bop85gTef3Rn/fQOji1inWg7E8PSbNVMW4Sg0bCAa4o1a7Ff1uenZT0/FdmsILiZFJRZpbT4QmqA3uoMwcPKyECmpJETg3Omi3FrT42iGzr62gSfGxVx3p0KngUp72/ZwnGW7zDXj7M8gJe9emJX5G2bON/lljVE9BPLPnVLdgwGCnye04LhwLxM5O25UiQDfUefK4PuA6Vwi4hMNWPI7AwzY8SV3FR5PRKg5DM534jghKd95L8WeeQbdroH0uZBytzmljfSKquR1bmPNrwTMRbOqIgFb7cisjpATxLKwBMcKprZGBVNeGtQxM6cnWWnih/YqmJhL8cIJIKiSYM3NS29VTMnQ2AiMRnFxLI6xQSfYbdlLtiDIgCgDx0ge0DtEkcMlFpMUFp6bA9/e+jAxoFlARHc50bddq7FxCTpW1NkSUoxHHd9lmNMuCKFCFkR3j9LHKeUhnymZ2UeimANAjiTcoyMzEi1T0I/p00jVt7ZqCNwYgM+Gh0+75Wg0/es49qvNcTJfkLLE57IqmaGrjcQPKwOtS/O2HrSLI1xnCtNvF7RshyzP0Fs199X3NDqEM+ADngmIi3FNfkp7u2pHbwvb82patOIZbTIoGpNECxNCkaxb09NAZiaHARSX6+b4mw/sKZ2xBUdZQ5daakAXYhntTg2ITV2l3YyyzBdaou81EEw1Jmgg/hvnUa5lcZjH2Xo5DMeHrErObeVuGBDNad476BoQVA5FimEt9KRjzMGKFRGvlNp53bYlHvErHyzVF4fVJsHKXN7w1kmHz5c8skcABF3q+ZIlkdYMI+WC6hiSdGoTEzlca9igFQvxeKdOtaPhw3/yIC41LagparYkUf2cZ5Pn0Rgcl2d7IqqkNZDc64UnmPWgzoSif6f2RQ/BdaDSpXnunAuLy5abZ/BzF7ZGCOn+rjecoyMx8LkGKaPgK5MrEohRfajM7bxS7SkUY1MNI6y5amD7AEeDO7jtQVkPEhDJcVYBI6UCrJeZt1zZw7OSUorZd1ZCmhNcI1N1Xih42Pzv/MHJuYXalZjWoDTdjMEhpRZPzHA+deGCGLOH9jYTQqmyFqZqBPV58Bmb2Mf56lrkDBzEVB9xzUTN6OK8fmD46m1PGbmKJVXDFg8KooEE2CUtqvaJ6doPWHaUyvpbdRwHWytwPEuxSKb8WG11VFRRdu0DNWaIqPUnmLMn9k+fI3DogrYOQCBViNrN7BTsYzZ7ewo/ZZ2FM9Syiw4YH8eETwLigqW4lvHMXEx9mQ5MYB2MrmZIjsOq3K7QCT/OrNohVSy4l+9/T3O7a42D1Lm9sa0UB1Qe2KgV3Ymbk5tId6tYDEuqYYIF/zENcXaYdFArHsV67PBz7OcwrWvNrOGg+sNK/kECWTTCZx9ccl6BZFeTNpw5GlvFheLNtU3yaigiJynDvl6HffNv/M8vI7dCq5tbYiF3cusmdnJAa7zQtuu3RGR8/sGyi3H1niP5RtfwYCZXjv7s9ApUi+GAM7EMTrxlRbGbGlkAmAsp/FfXkclMhG+2BWpJXg+7AzLrNDqEPdRiRDQDIu6A3chnjUqYvd/sS3Z25QxtfjXcA9k+jCzwGaKbEaX82s32xeMfJQ8Clqy6SkQ2BGMD7VgqpGOi5YviEOKNDDz08M6IHmwNNVG2RuGQOPOBPe4MEHw8UrHAJmneyZEd66L+fTvHzLV2ebUGjiuDhFQXGtinEi3ZvuBjRrG5Ch9PXVwf70SriFylcmUGfjZu42zv19jcHB0Q0G2GY1sIP6fmZnEFfFy2bSvgWXBX/maHeuNbvMgZW5vSMuCvyJO4W8oXVfVXXcrItOiYUHyTqlfMinr5bH1gskcLPbMGDSnoOOOi3AOV5s4BoMRllReWsSOfKLOd1/xFqnSacMCztea4vXOBI7uoIx/x76l9+sz0wlxxEpW1JioZ8ggHJSQIcq0VBW72GmfGCBTc61hbJGRj11pU1VTY9fEyjg2uxXcy14Fzs5P4STpsKjNMvbt3/rMSg1sSdANgEVJFNS4VzDwZa+E8aCo28LEZPL91DJaDEi2q8ZqOdVHuWe3glLMDplWR0oLjqDM9r6rOMbRIIAU7ht1kbRuWTbKvxcVFDxSSlQxNuG6YRHvPzHANd2oI8PRVRAyZc0f2jUArZvhXh/bw1hy/O6kdsomkk/vYH5UIrDQ2CjyqR0D37L8UdOSJEG+kQdqe22G53S1iUBwaYzP7JWRNalqUBi5mLeD4q1ByssdgKOXRni/CDYEZPekymS6Xbbkfu1e1HYJqM5/hu0wvkrmzryE8/WzeZAytzeukVFyUDaHT5YNJdy54yTeIkiUZpkBB+FlIq2ctkRzKvLCsva5SeEo6UTZfTjywCChhokIzneqb/gGLzNNDidTjZLQSkXs/+MnVlIa+8BpEDDIckgvMGd/YgC1y1IMx8oOrbHqoVAldmEC57OtZR42H2Rn20pkeIfEgbMKYpybnZgnCgh1M1z7Zs0E0hpTY75QwZVMnaWRMp4iE/0aFvH3RmoOZeRbictPjFHEks9OFdfdmRh4k9ozQYLPt6YYgzzOZuKjHLhXEUmrUKo93bPrqiiWhk3iGDywRDNUvNHIN12ZjbqV0kjLPighE8EeS19asWM2QvxQMddPkCG6k7156zAQVQTXkVerHauacVPHn+W7c10Ezm5mbDJK40caoI59PL933MB1fnEVzJvOMZitvYqVhEa+9aTZq4gs7iI4ud6wBoVfrX0lWZD8Z2IXY8ZnSZG9OwQv88DkG2PzIGVub1jL5MPixP8dgpX1BhbgrZrtLL3MJOmpvTEMVK9CMwpMf1P6/XoDC/tQ6/cT3xQ6FybW4JDdXWee9XI5KKGu72RIr4tgF+wrjXhYNJArG+35qfXdcTKRYmYLbuhZ4zc28ItdY4FMFR/hiAmmTTUrtF+2Rn+DIhZvYhyYUXptwRr9UR5+kCsFlDVwyjSIOaXspqlnsvgEm5ZjCwbbUzgxUriJ52BmiAFjquyUQioyq6n2R2rqpamDDEkhxfM5KON5EEhMarh7lALrIAuxXzasRzEx/Au1avbLhlFaHFtWgrTpnao1UqzOkKU410Xg8MVVfPZ3vYZ5we7VItpPJzHZ+V4JZaNH95HtWhndHOus/iERUVq9n1hPpGIi8q7rt076sGBZj7xKK6nDZMZ4mQUqEx/lt/YEz7+YAND8zhsI1i62MfZuhjkSepZVHBQxP4jtiF0AhaszjN/Ih3rzvVieTXSc3U0afxCY5s3R97G/EI3MJ4K0ExeN+ub2Dbd5kDK3N7ZxYTrVN8GpzZrpR/ipOcmZZ6n0vA0Cw3wQAMsOthT8cjJtLCa5BoOCxXBLdUx2KnB2NxpwAFs1/K0cm4ItAxJeN5sk+srYmHhGx2VvGmYqmqEFOFTxJKhw5omIXnslEilNrFcQcTSvdOAIlkZw+Cc1S0R5cxEbI2YVAi3/UG7d14xMWVlJrampjBKUSUDozDPpfxEDrzZCvD7K4W4OSnasyIOIGiXERZR9M7KOu9tVkY5mnKqZ9fcJPfRWaYY4furgvLUZZOovtzRjJKYQul1FGedcF0Hlqb6qx4a430qEz/UDkSd3kD15xw380MpiJZCzXQQEQ8U+rSiT6EsrKME8tod7q+cc7cuLeL+XInh80/bh/ku0vHPmM4tdBCG1mYGPN2oImq42cR+ZWJPJ55YRWLFD8Yj4o6LI80v4G6nhpEQ3QgR3kYsfMnASF/ioo6rHtMgTea2NAO9CW+Td128tLb3SwXMdBPjejHxrwHe2ZwytZQ3uJvfg9pxMpBJZtsS747vn9nW0eZAyt7kdtY4C/QaBAVOPUlVFNCugXyGWXFJHF3UHTo+1cmZj2F/m6R0snAdlBdbORKSiu3dHe/SEcBS7FVPJJNaEAQgzEmP/MMCUEvhuBgcy1WskyDdLTBxrooDTIEFafqSZk9bUughv1nD9LCu1lAJLCnam91/vwimNfey2t6t476k+MgK89oOyCW+JIHBhQERMTD00vRGKkZ0YHBbmcgQBCpk47CZM5slOxWThgxyWhLLqzCCI4L0DBRGPfRxrZYTnf7aLZ7cwsW7HE6U9U324V8Jn3rOO4+XLGP1A5N3rRqnuK6uqmIh85iTumUHGwwc4VuJajyaWz2Ye/qb0cufK31F9liKuM/Jwzc8uI4g6mjE4qg/COcESE8HSpRgBcjNEwLRRw5isDfEaWT9sm8Au1I5mIUnR7gcqkz/DObzUuoE7mqXbVI2Ztx8TqPzGWWwcWBa91ML1nu2aPtFje8gysezYDHG9YUHkNzVD2p4iEHt07zCY9ojNSzivP5sHKXN7Q9shOjI7FxcTxXaI1eKpYjkqwlluVxXzoTiRxTEyA+UIi+/aADu3XsmEqmohShgzLXeIWB8cR7DAisAB+InIgeI7AhVgm3omnz4sHS5r0Ol6EYCbUxWFY1mqoqyN1SF2x3QytZmJztGBlGMrVcVuLsASkVDT+Kf7FkSwPCaC+5r41rhvbWhYkUTva0+Drp2KOnh1rgMPdGSm48sxgpnIvdm/5JC1JwZCZsDFjFKQ4O8EIZOKeqqP16hCmjnal0gDANK0xz6eH/VJQs/GYFpAADAuIkB6ascaNbLRo4gpEW/URV5dQPCyVzENnfx9bNZQyklcKx2xdQEbGpJ1xoBstyIyLlgrgIMyWGh8XhcWMJZUKT6uKSSDstRBxsJTkLWbYZ4wmAgSG4OXFTfFDFjqYFxJXY81W+Ir7of9l9iPiKXJSBl057p4RkdVYGN97tUImSpmDF9YxFgtjk0hlyynpbExiERM52irZmq+x6wBc3v92jxImdvcKJ+eOcpk0Z0WSw7UHXEVwHq5pUDGmYhfgHNltoVl/mtNxZ0kRo18YVnkTVtYOKszLLKvLagoXBULfeziei61QfFl1mK/jICHoFDKwgeJiKuvkU7NTAMVWJmxeGwPqXpmPWaeUkFT1YcQFUlzTZyNTohlmBMDHIfZhmkBzvG8AoGLiSmHnu5jPF9dgHM729PGcwe4R0espJIJjlOb4bWFiemjHG32mLdiIvKWTZQSiJdZGR0W5/ITkcURGFpXm0bNJWupGll/GWY3VkYiT28r1XuGgGtaAAiZJbnm1DA5WzUEgztVA6qSmeOl2MnfqKMHE0tQY996HLmZsak4hgyQfKVUdyYG3GWLgMQ1rZRyLrP1bdfx3p2qBb958TRac2rqwV4KJx/EuLbnl6wpY+gh4LzSxJyb+NDDIRjZT0FVZ/sElnP8FGPI7MlBCfflCP7d0DIZg9BeSeTXH8IYrQ2to/aoaE0LH+ri57iOxnzug8Dk89mUcGUk8sVVyd76J28/n+b2urN57565zU1EnIO/YeweKnPuKVODDd92qlZ/L6TKNlHNEvY/ITOAi36sZaO1ARw7ndlmDYtmpCWHmQeH5WWmU3FigEVWBO+vRJaqZiYgca29O5vVpQInQDZRe4oSwqQA0CxxG/0ATpc9T9pTHGdPd5/1menHTAs4D1VnN+pwEuziPCwiKDmjGICtqgF4Cd5tTnGOimJf2FiPwFTqypQjYzCVFP8xVYBsawpnTUxNfuf93LI1aSNlO3YtWGSWxREEEMUE5yukh3vWXGwjC/HmLbzvegPOuT6zxpEi1pdpqwZMxe0YJoMA5bsXliDW923XNUuSA2aKWHNBlrv6Ad6fP+56w6izzKJQTZjZq7bqllxu4ZhP7mIcr2s24rhg5TjbrGFsRkVTQn51AUFFt4RzPrONv/VKuK+ZK/LlVe2P4xqDjX2kOhME49XZ8SDX55ZNH+ixPczbvQqybo/v4d7Zp+d2dq2JecLM0bMrkr3pT93bPc/tG2Lz3j1zm9v9GrMFs7L1w2lNrc5O1gRBpotjE/AqpKaWSrBpORIZVLRLrwcHQcVW4it2K3D0l1vYwZJ5QXbGQcmkzxmgEETKxn48Z6oZg6ZmXVaGtzaL4663FBvFeUPZTMyCNKe4Jup+UHJfGQ7ywhKCiZFvgRibIu6XcY62YnqCBO8vaCaCdOnlEUpSIhjXm3gW1WrxEyu1dUsmTLdTsTIOMzwiGLvVIcbipoqrJ+J7lgmjPyxrVilThhDHoldC4HSqb71/XljCdWQOnvfMM9DsrjrNjRpeJ2OqEt26w6+HFnANiyK/9rDI+6+YMB9taYxxqs3wbJjhyduJAcYjSExXhowbEaN490qYNyzTnO6h3PjRcyL/9hGR3/Ha3b8TzOQsjoEBudbEMWeeBbD8bkwLCFauNfH8zvYwR660EGiwA/TJPgLj48p3IphnCxPMQ6rHdsZ45oPi4fGibdVwj2wV0ZzeZD2JiMib7n6rc3v92jxImdvcRCTr/EVxxv89fpl5BrAUsQZxA6UN8290xCxvUIK+kGpAofiAaQHO5yZoVSxtTy2JsY/FuKAOcnFsZYBBYOBbqrnS2MAuSEQmOR2SBaWLEk/DJoQMCmoKZKRM/SBAgPDUDrIhV5t430O6k23n3rc8sp3slaZlNpYifG7mwZndqFup4uEDA8yuN+D0iGMY+5YFKmjpiRTwnmttBqiBslfB2FMorRwjgHnrJkCozMrw+TGDErsIGEjldjNkBUgbvtyyrMbpHpxfI8SzqM1MJ6auWYBEQdIHZYwLVWl/25Uj2BvNkJwc4PNfXrGGhmEOh5E6qoQboAz4sJbF3AwBADV3OC9cvYexj+P3AyshBQlAoo/t2j2VY9zv9YbIJ06LvPceMyq0EwNkl15dQHByuo97v97Accc+7ofg5bduGlB4VMT4sqPzesN6OdVDkS+tIoP3bdcx5rtle9adsWXcjhqfZZBIVvvL93c/c3sgbB6kzG1utP2y9cOhJkNtht28k4HCyl4s21UF6ymrIXHNoe1U4Zx6JdAjV4dwNmEu+Hly1zIpM08XeC1FsPFg6sDZpDPTBfFTkSzGwjxT4CF31Ilr5aheyToBkzpKJtLKELv+umIJegri3azhpxka7iF2UaqaKNuF8vahliqe2jHBuN0Kfmf3aOJMhkUr2SyNUab44iqcWCXC36m025kY1oKBRC3E/XBsSXslWLSpzqscI5ga+5YlmeaWOJZ3WF4iS8ZTts5bNvGsSZntByby1gvwN/ZGWhsYO4g4mlaIefHqAu7zYhvj9cVVHO+0BhlPb2Ncy8dkSnaVDfXIPo5LLRY2ATy/bwHiJAegTRzgZEjfZtmyXxJJNKjaqONZrYxwbR87K/K+K7d+D1i+jLzDDCUyjxjwMgB+QufA88v4XCM0lVnaTsUA4GtDgJ2DWLOKET732B7+TwzTawsYi0AB1H5yuNHiZk2y1b8gUrv3r/jcHjybBylzm1ve2ABupJTO5ZFlMIhVETFtkFJsMvpjXxvpzYBpcJRNcqENZ3xWHV4xwa67mBiI1k8s4IldOF52UR4UrSzBmnzimBMb+/aZugqk7VRM94P9cgjWPWoLE808jLBzzbQkw4wPqdakwQax9dTZ0+zHThUO/bMn4MCXRjjubgW/E8BK0bzFCRxPe4JzcewJrgw9YyYxS1WNRLbFwLaFVKSpKrBLI4zTwgSOj319qInCPjheZhTr5ZH1DqL+zLCITMTMAzgzc0QuthCAlGJTI+a1VyKV5K+YQB/P/+ZNy2IECYKVU32Rd92wkl7ePBVTI1Nlp4qxqM3w+eoMmYhKZA0dmWUjeFa0pDIqWpbK0WMzUBbBsb60gvF9YteUlF/pGNYpVqZRvgmgl0J/JXERuO2XrSlmfYZsSDG5tXFgr2SYoo2aCdU5+l1a1Wzil1bwDDgf2EogdUTedf0wE2f1bl/muX0r2DxImdvc1LJTf16c9b9twcB+2RbSmYedaDmyXjnsHnygWhN9ZRRwl79XNqVVyoh/23Ucoz3FIt8ZYxE+2zPV19UhHBTZJswuxI71qsmzV6glUoyNgullItUQC//i+PhurnmrzuBgF8fK7nGMsrlfRhBAlkdTNUjI0tirwDFSuG5LszETH7iNbsnYQYtjHHezdqsuBsHIu2VQkVPVIqnNEGT0AivF5QXgyhGuoREafiUveseux7UZxiVQIPRAQcPDIq6LQaUIMg37ZWSbzvZw7MstONhmiK7KqQMMBrtgEwT7zPbh0gS7Az90cPvnMPZxvtYUz3pxjHEjxTt2rZXBNaUxU+OGejx81r4G2jsVvJ+ibpdbeP/5A8yptaEFPJmWL1NHJFKNm60qSlTHGRWUCaQWwbw4TuKegnSvdqzv0yP7xobqB5gTmWNssxqwRdmpP3+HSTu3N4LNg5S5zS1vXmYy8GQnsJW7iMqoKzD2dB+LPuXa+f9RET8X2ghobtSBDzgxUFyFmCAYqZsTpfKe68KBEzw59lEeSVz8iBhgcRCYKm5zqp2ZYyz8ZNTQgd7NjjItYhf9dURwD5dbyIisDnFNMwUDczx2KyKRlmXYMPFc19gd1xrWT2ZxjM99fg3BTX7XXZshy7JfVvyN3gMzWs8oLXhYtCBFBE6bqr4iCEISRyR1Tf7eS42p5eg9MiPRLVlgwP5DO4rpETF2z8IEaq4HJRPeGxQRxD2xg/NUIoBjFyYWiB1tgDfWbFC+szGF91iaYWDy8iKyNswonO7h9cstE8NzM8O0LEyQEZkWEChPC9ZxOHOMXbM0wniRuUUmGoGr/UDkk6cQqK1pmeWo2uu9mKfB6WYNc70ztvtmSwQvRfaxGkn23X/k/s8xt29Zmwcpc5tbzrK1/0ac6GeQDaEDcgQ7T4JSg1gkUIEwyrFPVEDsQJ3dtQYW5FDFqsiYiVyRQFQBVUsIByVgVCIXbIjFMRwpgaQEgIYFA5EmmlnwFVBaD+HAD8om+x0kujPNcB2OWF+YpdGt8v55y/cyidTR05m7GXbG/UBk7MLpDYo4b2eM+9ypWtmIYxQkyFBQdTZyoYzaLVm2gXiS5tQc9Y06gpm3bv6f7X1pkJzlde7z9df7OptmRqORBAiMEEJgmVwWly3ZgI0K+1LBqZQxhW0SsK7N5jWACyKRUBHGxNi3bHzB16FiJ4GKQ0T5VhJswIDBEgQjYcsLi0C7RjPSLL2v3/feH+ecfru1jvZBOk/VlEbdb3/L6Zbep895znNIy5Cq2nZx8aERg7ygb1usRcQs3869gCWRHRU7eFGGBNY4k/V2pyVBqRrdVz4CDBTonJUgXZvHHWByzlYn07m72nUZu5d2JPYjCWq5vXCrdeGV1u5ACxEdTlI2qKNipxl3cTanEaBMkgiW5XpazezyYZsZqrqAE7LXJdci9zwza7VMYY/if9q4nR81e+Ig/kUxpheICAW59XokQe/P73thLvk0rTnr4A+rOPGhJEWh2B0yx8UL0MwQl1uMRUibi9BjoyxMLYYpPb49RRt2zQXOHabSgBiVuYY22nSVO2dgh/j1lKgWPyPPw918wG9p8xX9izi7it19d5mey0XsJu87Vn8hehI5ToXFrqmandET9K2IVjQOVdcKSuX6xOuim4maiIzDHm324qAbbdiWV9EWpFh8LKZiIpYthumb/MYO20ET9ogAdJatmZz4nXgOiVsBdokN0j3titM9JOrWiEx8Olzftu3WXMqATc9THLr52/1onI7TVabntqStc6poeCIevd/dJbb6LxMhKIco0zFnzIqYZXaPvA/7w5YMxUps8sWhNh+xJnbSXTYeo8/kKAuUwx79OREF3gkAZ5Vt23mEu32GUvQTrxNJkPZwjwnzYI7OK4JkEY7LgMjW+T/xutXVuHvJzg0nKTbxOsWjFS3rTexOmlUEAJccOESKkxtKUhSK3WDm3Qhn4l7auMUcTASIWfZBMY791u87QCNqnV3HYnbCr3yTl2nJmzO0mc7I27kxYg+ejdgJyuIE6oBIhkBMzOQbdCFsyyXjMVrrGDtDaFvK+pnIZl8M2S6g8Rhdl2SNOstk9+5yFqIYstkcEUaKfbmQg1KIrkFabVM1eqzOBnWdZSIUAe4G+k0flcrGYraFejgJTHCbrrjupqq2nbvKZnVZ1rN0lXnYn2eNu/KRFoGsT8RRyjvyDb6n1J7VOH2MfsZidFzJRtQDJF7dkeTsRdXawo+wi+uMHLAjYQfmDSUpdn+sUtYn5AEd+zB4M45tS5dJ116ASFA2SsRqPEqkUIZdSjzKXFqUz0+yRu+1eOgARJJ/PQB8eAMPKuSSZMinlmHpSgryZyDSoPjuTJA/TLra3kkD0HW+d8feCcr2FL1WSki/66XH5+4ibUmr4FWhOAgoSVEo9oYR1nUEDJEKcY+tBYFo1eoF4nXaKMV/pBykDdsLULakHKTSyKYO+sbcWaZNYid/ex/IW2FnPmIzIeWQ3UyFuABWKCubfm+Rvu2WQnbaq5QdCkwUYnXuauE2Zym3vEUaAEyv2fR+KWxn/iRr9HwhbFtxJfsg3iaAHeyWrFHcZNMF6PzVIHeu+LTxSot1f4GuOVWzwxerrnUjrQdo49vhWnLYWSZSIQQlzkLmCpffJBvQUbG6B5evW8Sw0gZeDFPmBLDmaeUgrau7QKQGhBxLJIVwyr2HPattybD/ikzAlrLWRVvo8a3pdnO9fJhEoYOg2VEFLpHtjLNQuUTnHE7QNW7OcPasRO9NT8nqpIa4HNOKTAW45B3799d7eCrwBGVD6qyd+X0v6aXEql/e0woLx0O+bbUHiIS0YnvKfvYlyzUeg+m87QD/wBSKyUFJikKxN9RcO9MnYAA3QBtkB2/WE1G2cG9Y86piiDY6aUOOeFb8KrNiykHbrdJZsaWGRM2aw4ljqgwmbASs4VvNtR4pp4/ZzWkoRX+KCNF3qFQVr1s3XMBqY+J1IhcJzk44hnQDW9NAhIW5Ce78EIIC0MY8K0vXsiNpdSci3Owv0AbZwcLL4aT1F2l4gGHiJDb9AG2QeRbYRpjciPi2HuDBhkHKwKRqRAJjdUtCRLgc8qx2aG9zXSRWMvhvGrVcm+6/AgA4Lz8CnL/dkjMHtotIXGe9AMW4GALWTidSdto4HasYsuLg4YQV5Y5HbXlr4VD7pi8I+kRmN2dsGS1VpfPKLCCA3nODdjG3mAnuPkBQPr+FMAlpt6eI3HWV6fXSPp+PWHNBacH2HaBcpc/V6WP02W/FjiQ9NzNLx0jWbLakc8/QKxSHCiUpCsVeYOZ/Ac6ahwCwB4rM0RmPEQnoqNDjW9K0MWa5LBRrWFGp2KXLt2xJkxfClBWQ6cPSWeEa6zMh3ixiHuYyaegv0KYybydtNvkIrSuFWINhbFknzKWQesCasg0nrSeGuLDO3UW+LeUgaS0CoI26ErQuuG/02LEA04q00UobtczDSdTahwGm2eslywJjaUGuu7ShRkIU10LYeqrwvotagGIhYti+ojUDkxJHukrxbQTsvBrAdrzsC90let2GzvbMwMIhuoadcdqkPYdiWAjT+cVgTgYrJmrAeyrAWfxeDOaAn8+h+/W5Q6geoNfOH6HzPXsKHfM9o3Diy+31GtBrRAsk1v+FsO2gqrv0/s3K2tlSQW4FlpZ0KcW92U2vkZZm+X1Gnq5lzXSY+V8AAGq7lzlVosURX5+qu2d5R/yAPAem56+Ansn/u1IoDhZKUhSKfSHEHhynTtCGCdipvIUw/Wf/ZrfNuvSUaFMN8D+rAhvCibBUUuqii5D5K+I+KvbtkgVolklq9G16b9OAxdhset5qZ4xj575UXet/UeBMjsz9ibPR2e+n0XohWdJS7HFXzy9n0+9SysqHrdZDSidiyCZli9E4PdddosyK61vzu91LC8kavc6BnUwsbd4yGDBWt/OUGgH6Fp+u0mt3JtozJ46ha3WNNTrbmrZOsuLcW6MymmO+Qc87HXQdITZOG423T5XengLmODRReWeC3v+gT8cUwzkHdK1117Zgi6dKlJ2CFw61d1ZJ9sU1tmNI5gTVWoz0cgHbag1QbKtByjjlw+TYmg+TH8n0vM3ITS8Ag2/a873eY8uHAGWntmSIOHZUbImn6vLASqfpPWMytwNx6DwcxTGDkhSFYh8w53wejrnbTo81oE1ENs6RBH1LzlRow6oGacOvu/abcMBY628ZAlgK0eYl2pF6wNrtS6km5NMxXEMp9bBnyxQ1l7Iz0i0jItcAd+6EPWAkDkDEvlzOEWdaEdJKCcM4dK4tGaDKhm5S6vjZHLrOLWm61wJvhiMJiomUHHIRurdi2DrLnjJBZGJ6nshEI0DZBPHhmIhabUeSDfIAq2fpqFoRrmQZxIK+r2AzSGLUJt0sQZ8261SNsiIiUpZswjudtn1XpiFLdmZLmtvDPbo/37H3W3FsV5N0M3kBOp7MqLnsbboGcYoN+rTRS5dQV3nP1m9pKy85QLzBdvvcXZbnmFT5v+rW14qou+pS7F6ZQZ+VUghYPZPicvZO64orqLvAnDE4b3yX9EwZ0PuRj9CfYf58J+pAraqGaorjCiUpCsX+IJuxtO8CtHGISFbElKlqu3mXIM8biXQBdTN5ibDNvQgxx2J2lo9xrLtrX9EamxVDtHm6hjQPYqHfCNI1eo4lINLeG2dyBMeWUsTiXyzuG5wxmZml+xmN070VwyTgFAv/s3bSBm1AmoRoA0g4VrvSW2S7c8dqSgIGmIgAg3nKRolzq7R0Z6pEFGosmB2PWQ1IJWidTaXUEvJIMzOUopKQcay+RUYMAEQscxGrCaq5RJZ2xdkp19g5N4DVc3SV6V5rnRSbsGdLPFKCS9aAxRutGVwh3K4xEdO7LWl63TiX8AohyqrVXeBPttn18rnynfZ5SlLGykXocZlgDRBpyUXsBO1Tx4mIvNlN17QjSd1HIc868EpG6JzhPT/ngzmKWdiDOfVW+3hmkv9OFIqjBCUpCsV+YPq+Cmf7Q/Sfve/QplZ1gYZrdSDJGj02HgMGcu2mXqnqnoLGVnSXgG5YcarPpQnRYvQWiDSI/qDBHiYJdlEthO18G8fQN/Akb/ZVLhkYELnZmqYMhLS2ChE4bZxKAAFjXVe7S9al9P1byHJ/V4I23xEmKKLXeLObNrmNHURUxmK2dFMM0WOVIOkpGiUiMK/3cFmkuKe3SSNs5xPVuP1aNDbFsBXJ1gP0zb8RoE05H7F6IZ/JUylEWS7RW0wvsJGYZ4dI7owTGQz6dG1Jzt6cMUrn3hkn8vKHafRnayeNGPm91W07rgZz9HhHhTJH3SU6Ty1Isfcd4P+dCXxogy2XSXeSTFiO1emeukv0vm7s4I4xx7azv9NJr8lFrLh2MEdxev9mO6NoLEa/95RslkownATe6Ib54HVA+lD+hSgURxdKUhSKAyFWb/HOYNGpmF1JZ08pRELDGBtjxerWor0ctBmN1q6MYXbdTFeBeM3qQaR0IJCptrJBObAttjITRczI8hF6PuxRliJTsZqH7hJb6HMLdTYC9Bd5qBwbt43HbClGhhJmo0A1Yg3WchEuT3H3x0iCjueANstGgK5lU4d10pXOl2KY/jxjlNZJCUnEwtkoxUMmN4u9v+9QfGouxb8atBby0tItc2ZkdpBoWMp87v6CdXIVQer2FNBfgAndBQBwnOV0jFYiIkJWyZKNsJtupEHH39RBpbJxzqg1AuSTMhGl8506YUtbvkO2+kJ6ZWzArhbhaleZ7lXep/4CxSVWt9k7KRdmwfN80pRRyVQsYdnh0LV2lYmgiN6m5sJ0cYtwH/8oFFMUSlIUigNB2nfFSwSgb+ny7R6gjaazbDcmSf83uK1YhJNS+uku0bd+sWJvuAAa1p69EaBzFEN25oyk68OeTftHG5S+Fx+NUojS9tNK1vBNbPWlDVraSTu5jNJXtD4wkoEQO3WZ6Cv3IdqZ7Sm2Y4/Zc4l1/tY0EQYxcSuFyLxNRJixOp1DsggOaE262q65EKv5oG/bbkXXk48QyRpK0XMpFpS+3UXP9xaJrEzP27JNKWTt+esBImdia787slHa8KvBPdtve4uUCSqHiIxkqsCaOF3vhzayJihBcRC7fvn8nD5GpZmJqBXc5jkrMoM9c6pB245dde1coZE4sLmDSIvP5UaZlJ3lrpzWAX/y/leCwIYOmPfcfDCfeoViSsAxxpgDLzsxkMvlkMlkkM1mkU5rblMxeThrueRTd2kjEd1I0Kdvz6eN0ybsGto8AetFUWefk7prW01FSCmQDgrACmuNY8lDlUsJrURFOmp2RyFMm3erW6xkJcSczsA+19R7+KTziDXsJGYhK7E63e9o3GplRPuwK87D8TzyGZFOoqBvreWHUnYz7Szb8orvkMYnw50lYzF6bZqzQBITuRYhTCJqbY1XhQnFaNxqOFxD2aY8t4Qnq/RaeT8i7NESaiF+k8UbPdRCLeW8rWmKlVjCP3MaEYlYgz4z00oUx54SkSohvZsyVgck2qUZeSJY0QbP3KkR+ZVsS1/R3v/OOJGic0bo2ExU1OVVMVVxMHuxZlIUisnAcwCnJaMCA8SZMMimvC1tOzpCnhVdxho23S/zaXZHoOW7QrxuiYnoNfrYolwEsjXXemLsDikDbWODNxe02clcFiElUgaJ1dl+vg5MY01EwJDQM1anTVi6cAa4pPLbPi458D0l2TL/9R47MVeyH3+cxsPuPCpF5JnASGdKgduOxVsmUbNTgQVVl0hXV4vwOOxRBqnmUhkuwBko6ZBqzRpFOIuVjdr7E5FyIWw9YA4GrXNtBEIcALKk/+Vsq7WRz0SriFW0THHWmUjWRaZNhz3rqNtaBjSO7diS+VF/7IH52KcO7h4UiikOJSkKxSRgzv8cnNf+T8sDDolaZeOvBm3rpugojGM3VMlqiPZibyWGVqSrAKotvzOkHFLn7p+9kRRxb5VW2be6m1qE5uYmm3i0YTMa5RBtoLkIfVOfXqANUDbQrpayx9xdlDmQTVT8YwLsr2EcoKMB/JEFuRUXqIRIIHzqhL0nyejkIpRpcLgTZShJMUyww2ymaoWpovWpcWwmoqxR8YgUiQ+NlKBaJ/qKA6tkrpI18jGRYwJEGnYv8ewOIYhyXMDOUBI4hko7OxN07Ym6JXtSTtrBJanpBSuQ7SrzPKIa3VuZPzutpRzpCIrXYebcAszZ/+UqFO9WKElRKCYLmXKb9GhjC7M2oq8ArE/Ykkjdpc1INpKayzoIl7Qc1aDVUYgvxcEi5BHxGY1bp9VW5CK0KaarwPu22+sIc1fLOJcQKq41dysHrTttc/5PkIShvUXghdmUCZmetxqPUojKG9tT1itlZpaOWXXt4MGRBMVJpiaHWghDukokpK9gW7Fdvp4YkzLpkpIskFjt11y6j9lZ284tviTRBl2TZKQMe62UQ3Q+x9hOpG1pW8JrHdS3N4guBqD7aiUnol8SEiq+LnPGrK9LNmIt/cshuv46d2ola/TYRJQHRKbpPvoLwHASpu+rB/lBUSje3VCSolBMEuZPboCz7vt20rFMld3YYTelOJdOxJgs2rAzXMT23gGVPKQ00F+gTbb1m3IhbL+tt4pmBdmoLQ8UwlSGkY1TpjdLuUD8U8SV1TWURTCgaxFn06BvywebM/T3TjYfe7ObXjuSoGsZyNPm/E4nEbWuMnuoODZTUQ7SBhxtENnIRjlLUbEGc1LRidV5EnPETlY+fcxu5oKRBB3PATujNux8nLAHxACcwlqUmkvX4fo8B4gJSIAJ0ETUdsK83UnvoxC63bF7dkWyYWKqJ+UiBxTvbJQ6bk6ZoPd2LMbdVlXbSYTlZMsfq5O+pVUsK3H0HJgzb6JzqmeJ4iSEkhSF4mAQ4Y6TaIMHwMGWdipBa3Mv4tqJKH37B2jzkaGB21gs5vp2hk7A0LHFkn1H0paPRPAa5RbkSpA2sfEYZQ0qQdrUhczIzJ+JKH2Tl6nNIsYFrD5ChhnyoDj4Dm2oExE6vuhs8mHSqXSWacPPR2jdaIyOIzNkokwcekt2QvJgjq5TuqOkpVhKTbEGCUgDhghHT8m2JIc8ytSEPSpDBQyRsCy3QjcC9D4EDMUmXQVcD8i06Ex8h7p93uy2pZPWwX3n74OcAMCrA3QN8TrFLh+h90FGELjGztkJe/ZnYwfwq1mUIZL3Y3bLOWW+T407eE4jQ7Y2h9fuQ/iMKhQnEJSkKBQHAfOem+kbcCukxbgYsmZvBrRppWpAR8lOQJZv3k03U86WTERpg835QCXD4tggdXTEeO22IM/BMXZAYKxBx82HgfVdpGUQg7Ni2M7tkYGGQR8IMGHx2YVWWnPrrhX4jrOVfz5gyyrSuttfsPNtQi4JOl2fshwTUYpJb9Ha2KeqdiaPCIdl8J20ZO+MW6JUCtlZPt0lIizivLqhg2Lo8pwcIScBQxu+67OtfQs5kfsT8mRYjyLDHxs8E2c4aU31Xuun45eDlhhVXaAQo3XdfE1p9pYBbPdSnu+15tpJ0wbNMlLz85OPNgc5mg995ih8WhWKdz+UpCgUh4uAsRtfIWQ3wq6yNQ6rubRJlkOkA3H4dVIycEBrQj7g+UAlbJ1ihdBIWQawpaJKkDZg0XCYqM1EJNg5FSACIiJZKU0Zx2ZOQtxKLWZxMpxQTMAG8rThZlq8TCQL4DBJ6C/Qj2hKIlx+inEGJxehdekK4IOuJ16n4xbCJMaVzEnEa+mACQLJEt2XCEmn54kUShdQ2LPdP63DBkXzUmJRsFj1y+TmMSYdH9rQ7vpbCVK2qxCmLNBgzhKnwRyVcsStVrI+QUPvxXDCZtMSdYqjuPkyDJbb8k3HEfkUKhQnJJSkKBSHCmkllfZZGYQnpZ8tGdrIQpw5EJt4yaoAtGFLOSdToWOmqmzMxiUdmaqc4PJFOWhdWMW6XjIS4oxb4nlDQqB8B4iyPqUSpCxAlHUgsYY1Zot4dPwIZ0pqLmVF5P7EUVVaeVsJgUB0FVXOJAgZmZEnohFj749SiH6PcIkrH7GakaoLjCbp/AN5nijN5EXKTaJXqbl0nN68vYYtGZtlCXu2+6enRDGOeERotqaBXJ20Ne9hG3zp+hnj0QKS2ZEhhEk2jnON7XiSOUOxhh02+UY3EGVPlNkT6luiUBwClKQoFAcJg+Vw1jxEG+9AnjZ6ma2TC9nBgeKBUeWSSNAnnYmYuRXC1gq/wd0dxqGNvdhCeCINIhUOrwv5QKBB2YhUjX4aAcoYFENWVColIWmFDvrkmVJ3iYiIp0g5ROWLTIXWhjz6M8utzHXuoJEuFums2VdXkszVKYfo3hN1ytCIm26JiZoBXa9ke2TGz+YM/Sl+MSMJil+yxmWpFh2N79A1VjnDJO2+Yvomg/hkHMFYjLI90gItJm6zs+33MH8EOHOUrk/8WsohK56Ve5eyjkxpbplsbRZ8/rA+ZwqFQkmKQnFoKHLqf0eSNvBSyPp0ZCP22/ivB6xFumgT5oxT1kDKAI0AbcjFMGUqxjmjsStOG3LAtAtSpYwyytORww2gHrYW9HPG6XydZdr4yyHbyusFgIZnSYOUT+T5eJ1Iie8QAdvJrcNvdxFxkKF3kkXa2EHXMJAnImVgPUeq3I494VrLfTEmAyhWVde6xW7K0HETvCYXoY0/2NKdIwMMow36u2QyHJAnS7xB8a66dnxAhrNVjiFyUm4ZDDnMgwmfOg1YMEz3IeWwkAd0cKwlc7Ohk+5ROnFE9Mzlvma2JHmUPncKxUkGJSkKxSHAfOA6OM/8iDa+eN3qM8Z5Bk2RNSLv3wKs7Wdywd+yDYhAhHwy8Wr1DZENPMadJF6gfVMPGNow6wEr+sxFWTDq0fG2p+z6CnuNSBtzKWQ1IA5sqafMGQ2nSI8NJ2ldR4WHFrKOo7tE5GFX3Hq9vNNJ99c9RM9Jx5IIg0VULJt/ogZUeU3FJcFvZ4Uej9Ssi21nxQp/K0E6Ty5CWZXRmB0/YECPd1Ts+QdKVgPUCNAxvQCRN8C2T29JU7xiPI8owPb14qsiXjfjUSKR4iYsxASAmfWlo/hJUyhObihJUSgOFZ7Tbt1eDlKppxoks7eEa0Wnac6QJGo0Y0XcaTd00gbaYLFtmQcKVoO2LCH+I55Dj0cb9HuIj1EOAXGZKwSrbcmHabOVUlKUS0sel4xGY3RtNZfWegESi87O8uTiMK0TrcVIgq7FC1A5JBehzMr522m9y74qO5J0Ht+xJKPMmo3+Yrv3SaoKpLZRxqYRsJ1CEc+KUvMRutausj1mMWzvqTUD5Rg76LDOJaCIR263Udb0ZKP0XH+BzjkzR4QnUbdt4zIMMtPaFQTqxJmppEShOFZQkqJQHCLMR66Fs/5/W0fTRB3IO9a4zIA29LN30iYqLbfiKxJtADNylMFwWUPS2aBNdZx1H/0Feo0Mw3ONHVjoGCsAFddY49gNfTxKJEMs2dNVIkfTeDBhpsLlHp6h47LPyPYU+Xnsilv301PHrZB2WwroCNM1tHqNCEJsc5+u2vZgcXmtunQ/Yh7nMYGK1am7Zzxm9SKigRFfGCGFXsCWXKQbSNqIZYLzSKJdN+M5QIDfj44KxTvKIleA3sNiiIcsunQ95WBTb9LmXaJQKI4ZlKQoFIcDB3azlSFyIwkiDzE2+GpErQFZjbUN3TwFeCfb6SNg1yfq7MoaoSxC0KcsQJV9UcLgjTpAGy/Ac3x82oBlQJ+YyIW5Y6ezTMRkONmu9QgYoEOGD7J3yla2iS9zNiEXoXOPxklQWgnS77kIZTcGc+1W8JLBidfZmbdl4GIhTARIJiT3setqnbUrlaDtYjIOHUMmGW9Lsc6katuvI167aDjP9vIi+BXBrg8ib9K63Cr8jTRsOW5XHCZ8F9B/DD4/CoViv1CSolAcDnpKdjMVq/R4nT1KwrQBTyvSxjqSoE1URLB1175e5v1E67atOVmzYlvRjYgYVUzRJDMR8injIcLdTNU60Yqj6TudPFG5aFuDow0iJOJJsqmTNvL3jFKWorNME4+7y9ZLRfQvIlAV19jTxukYkQYQDNB1pHgWTbRhNSQSt6GUbe91o3ZuzpZpVBKrhOhYomsZ53k2AB3LNTYDNZS0ZnPGAcaiRGBKTEgccJnLA0y4fTAgoyl67Tl6HxeFQnFwUJKiUBwGTOZ2OMW/pw083fLt3ncoA9HJ7q8OaOP/TT+JT0fjZEjmGiDFWhTfIUMwyWC0znFpFcrK7BkfdN56wPp2lILWx0PKSz0lq3PZ2EHkoBCmxx1jN/OeEnDeDtKlSNfSaJx0Ir5DZSDp5JG5QakqCV8liyJdP+UgkZ18xPqeNALWo6QUstmWsRiRsaBHWZDOChGnGnfvjLKtvkw0Fs+SmgskOIslGZsKa3nEDj9Zpfv2HJup4dZu9S1RKKY+lKQoFIcLyXbUXBaP8pDBbAR4ZYC1J3naSGdP0CYrXTKA7SIRe30DW/qR2T0+C2dlzmDAAAVuY07WgDq3KdddKgEFWgbsZXkA4JYMkYAZo6xTqVHZRdqCN2eos2UoSedfOETrtqeIwAzk6fU11/qH+A7pOopha2YnhmcAkRhwbHbFiTBIt5K0V0c8O+ywymWkaSUqAUmWSJxjGwHrCSOxH0oC2zNEpsSKH6DskR+1BKoegOn9GjDtKH4WFArFEYWSFIXiMGEyt8PZ+i3aDOtcjimyPf7GDusbkmJvjbBnh9KJJX0hbDUhCNgNXKYVSwlIBLTVIB0vGLKGZsWwtayvMgnJVNgyPkxkZd4u9lZhwzbpogkYq9M4Z4Ss3XfF6bxzdwFrphNJaQQA+ER6phfoHKmabdXdG6TzRmzhpR1ZrO8dQ6UdeFbQurGDxLrJGtBdpcxKbxH4wzTb4pyPUDkq6JNmxWPRcHeZtTtF0pYoFIp3LZSkKBRHAvkwiU+l7OBwK7KYg0XZe2QgT487xuol2G8DLpcwwBkKmWvTUqJoZkhkMGCyRoSnwh1GQdamTCvSui08IGZGjjb5bIt4txwkMjQrS4Qk7AFvdZG2ZFqJiEGdW3TPHSbRqmhuhFCNxknr0lWm4+wL4pUykLei2Sjb4/sOHVfIXLpqxa6uofuSjqFchMo5AL0+Ubc+KmEPCBoY9685nkfjjVYoFMcSSlIUiiMAc9ZNcF75AWUWYg0gyeQj6APxGmlNJFviO+RFUg7aFlohNdEG6UrEnr7OG3eQMykAt9yy8LPV0l5m2MyeoM1cykpDKS6h8GRicbkthaztfCFMWYrBHPBGDw3b6yrT/UzwNcYaRFp2xa3bapTLUq4Bhj3KaOwNkQZNMJa26zd66HdJwIhFfsgHAiFLSHqL5HY7Z4zKWwFDWZkMG71tTcOc+7/seVT0qlCcUFCSolAcKSQ4q5FnUWqYbfJDHpUmIg0qR4R8YFMHbcwzc0QCZFKww3N/JMMi045lenGNZ+GUQGsk2xBt2LZiWe871JnTX6BjjsWItJRZJOsaEqnWXGD6GL1+R5KyLKNx+nMkQeUcEev2F+jaS9wp01km0jIRpfPKfKF0td20Lcmzf0ohtuoPAvW4HTooXjAicpVSjstC4gCItAR9mPd97pi9pQqF4vhCSYpCcYRg5t0IZ/vfAwkuP0xEqQRSDllhrIH19fAcu7nL7B8pBbk+61Ng9SMAHVfKRIWw9R4ZjVOXjghTu8pUXkpXbYYFoNeJDqV1iN8Qd/P0lGyWZVqRiJdY5tddIjGxuhW8jnLpphwEwiEiQg6orDRn3F4/QASnEKbf/8c2IkD5iB1+WHNJO7Opg9Y0WJuTqsJE7gTmHOU3UKFQTDkoSVEojiDMwFcAAM7ofbSxZ2Wujk8ZFgDoG6eMirjH+g61F7usUxFxre9YP5WKC0Q9EoV63JJcDVL7bcDQ6/Nhah+OsPV7jq3eQ0yKpLwj1zWtSKQp7FlSIwMMU2x/73J5qBq0AxTFiTVZo44g6cLJR6hkk41y6zB36ZwyYY3SRAsTa1BGxQvYgYyiwzl3B8y8G4/L+6dQKKYWlKQoFEcDhTBlDiSLkovQBuwaIhm5iPU/aW2tlem9Iwn6U0pGqRodMxchMzbXMAHh7phshLIyAUPZjOEkaT/SdSIj0mI8vUCk5/QxO3xQJg6LX4rr81BBcFsx2IQOtE6GHI6xNmRzhkhShK91ep5i4Ds02XhTBvjI2zY2MTaQ66jQ/SbqwLYUzIXXH/v3SaFQTGkoSVEojgZc7lZJ1mgjnpGnP/sLVDKpcBYkVm/pZPFt5iPLZSDfodeVg0RUxHE1FwESns1CRBuk+diWJqv9RI2IhhCZ9UwKZLJxhWfVyPC8VI3IxUSUsjyZCpGncqg5WA+uobJMrE7twTsT7LuSJ7IV8ei6wh55q/QViGxlqsDTp1FWZVaWtCaDOTJTS3K8Zh6H90ihUEx5KElRKI4CzOCX4fh3t09JHotRZ0ohzG6ysEMDkzXb+VNiH5EAu8iGufvHc4AtHVTykYyJTPqtuUQotqXI12Q4QSRkJzvGnjbePp3YgPQnYzHKbNRcEtmmq0C8YbMrLnu1xHiWTl+B7mEoZScOJ9kULmDsYEOx7U9XiTyxb4zpvO04vBsKheLdCiUpCsXRgohNG2xbLxt7nIWnKZ4KHGChbD5sfVBc3xIKmY8j2hEpBcn0YAe0fjhJ5ZzRGPmRBPicYkffWSHy4nu2dOM71twtU6Xry4d5fZnIihCOaVzOAeyAwXidrqERAPI8h0emP1ddmP959XF8AxQKxbsdSlIUiqMEk/w6nFcfJjLigLIJMt8nWSMSk6oRAdnUQWRkMGfLLx6bt00rEfGQzEa0wVOP2bvk9R46RyFMJCZdJcKxI0ktx2Lg1lukCxtKWn2McayjrRck/5WaS+esunSssEcZmrpr7ehDHpWUAobM3Hx2e03WYD72qeMUcYVCcaJBSYpCcTSRD7P1PbfhVoNESsQDpcKDBKMN0oo4sG3AIc6klPmfqTizBn3bMeRwRsZ3SH8yEW2fc9NqV5+NEjHqKtuJza4h8lTkDIjPmpWaa91r85xxEYO4ubuA308DTp0g8jI7C3Pqrcc4sAqF4mSAkhSF4ijCLP4snKd/ROTD4xk7mYolKGXWn2QqRDzCHpESMWMDLIHwAoDLrbzSojySpBbf4SRQ43bkjgoJaH0HcNkjxWUNS6JG1wKfHh9nUjON9SldZSI9pRCdL1OldZsylP3pKANb0jCLP0vXMftYR1ShUJxMUJKiUBxtSJZEHFjDbNo2m2fmdJWBXSyClUF/YoPvBUhcaxxaZ2A7hsJsDjcRZf+TMDBBJZemW2uAvVgMiHxko0SIAqAMinGoxOTATlze1EFW/tMLRFZmT8DM/uJxCp5CoTiZoSRFoTja6KhQpsJziAyMsw3+WIyIA0BaEBlOWOWOHSkT+Y4V0Ia4BXiCyUZvkTIt+TCVaObuou6bugvEK0RSHBA56eRZPLmILfeEPSJCBqSDGY3ROSdiMGfdBHQcn5ApFAoFoCRFoTjqMPO/AOcP3yMy0MH+I9PZQ6Tq0p89JZ7dAyIzVZeGEjYCVmgr83/AQwerQSrz9BfomNvS5E9Sc8mSvsyv25rmmToJWhdr8NRjFtvKPKBiCGbh0uMZKoVCoWiDkhSF4lgg4gF1Q2Shu0QdNuIxEvGIlPg8YDBkgFqINCYuC2VzTFBCPnXrAFY7MhajjElPiYjM/BHgjW4rnvUCwPu2s4EbkxJubzbzv3B846JQKBT7gZIUheJYIMDGZz0lyl6EfCrBiANsigcB5iNUeok1LHGRGT5S/hnIU9tv3aW1mYrNlqSqpDU5c5QcZPMRakU2TrPkY7rUUE2hULw7oCRFoTgWmJklwlB3bUuv79j23+4SZVSSNcqY5CNEPiai1iK/q0wEp9EgF9l3OonMOLDD+qR7p7sEbOyAOf9zwKl8DanjdO8KhUJxiAgczotXrFgBx3HwxS9+cZ9rXnzxRbz//e9Hd3c3YrEY5s6diwceeKBtzQ9+8AN84AMfQGdnJzo7O3HppZfiv//7v9vWfP/738eCBQuQTqeRTqdx0UUX4b/+678O5/IVimOHoE8EZChJ5ZpcS4YjzDNvJqJWKNsI0PpZWWoxzlRIYyJmcHU2Z5MuoFiD/jQOzDmfhxn4ChEUhUKheBfjkDMpr7zyCh5++GEsWLBgv+sSiQRuuukmLFiwAIlEAi+++CKWLl2KRCKBz32O/hN97rnncPXVV+Piiy9GNBrFfffdh4985CP4/e9/jxkzZgAABgcHce+99+L0008HAPzjP/4jrrzySqxduxZnn332od6GQnHssDNOnTeRBpVidsWJWJSDlC3pLtH8nHk7iaD8to/KQ2GPxLE7E/Taepw9U3wq9wQMzDmfP953p1AoFEccjjHGHHhZOwqFAhYuXIgHH3wQ99xzD8477zx8+9vfnvTrr7rqKiQSCfz4xz/e6/Oe56GzsxPf/e538elPf3qfx+nq6sI3v/lN/OVf/uWkzpvL5ZDJZJDNZpFOpyd9vQrFkYDz8v+lX+rc5ROv29JPokYZkkKYxLDn7aDfpbMnU6XXZUgsa1J3HN+bUSgUikPEwezFh1TuufHGG3HFFVfg0ksvPejXrl27FqtWrcKiRYv2uaZUKqFer6Orq2uvz3ueh8ceewzFYhEXXXTRPo9TrVaRy+XafhSK44qgTwQl7PGMnqqd4zMRJcKSjVI7cdCnluLf9sGk7oDpug3G/WslKAqF4qTBQZd7HnvsMaxZswavvPLKQb1ucHAQO3fuRKPRwPLly3H99dfvc+3tt9+OGTNm7EGC1q1bh4suugiVSgXJZBIrV67EvHnz9nmcFStW4O677z6o61QojhbMBdfD+eUj1NEj04QbAfo90gBSDpWAMhVaP/hlYPA4XrBCoVAcZxwUSdmyZQtuvfVW/PznP0c0Gj2oE73wwgsoFAp46aWXcPvtt+P000/H1VfvOcb9vvvuw6OPPornnntuj3OceeaZeO211zAxMYHHH38cn/nMZ/D888/vk6jccccd+PKXv9z8ey6Xw8yZMw/quhWKI4rOCs/saRkaaHhGj+vDXHbt8bs2hUKhmGI4KE3KE088gT/90z+F67rNxzzPg+M4CAQCqFarbc/tC/fccw9+/OMf44033mh7/P7778c999yDp59+Gueff/4Bj3PppZdizpw5eOihhyZ1/apJUUwFOK8+TGWeiKczcRQKxUmHg9mLDyqTcskll2DdunVtj1133XWYO3cubrvttkkRFAAwxqBarbY99s1vfhP33HMPfvazn02KoOzrOArFVId5n7YGKxQKxWRwUCQllUph/vz5bY8lEgl0d3c3H7/jjjuwbds2/OhHPwIAfO9738OsWbMwd+5cAOSbcv/99+Pmm29uHuO+++7DXXfdhX/5l3/BKaecgh07dgAAkskkkskkAODrX/86lixZgpkzZyKfz+Oxxx7Dc889hyeffHLS1y9JIxXQKhQKhUJxfCB78GQKOUfccXZoaAibN29u/t33fdxxxx3YsGEDgsEg5syZg3vvvRdLl9pBZg8++CBqtRr+7M/+rO1Yy5Ytw/LlywEAw8PDuPbaazE0NIRMJoMFCxbgySefxGWXXTbpa8vn8wCguhSFQqFQKI4z8vk8MpnMftcckk/KuxW+72P79u1IpVJwHOeon0+Eulu2bFENzGFA43hkoHE8MtA4HhloHI8c3m2xNMYgn89jYGAAgcD+nVBOqtk9gUAAg4PHvqdTrPwVhweN45GBxvHIQON4ZKBxPHJ4N8XyQBkUwWHN7lEoFAqFQqE4WlCSolAoFAqFYkpCScpRRCQSwbJlyxCJRI73pbyroXE8MtA4HhloHI8MNI5HDidyLE8q4axCoVAoFIp3DzSTolAoFAqFYkpCSYpCoVAoFIopCSUpCoVCoVAopiSUpCgUCoVCoZiSOKlJyimnnALHcfb4ufHGG/dYu3TpUjiOg29/+9ttjz/88MNYvHgx0uk0HMfBxMTEHq8dHx/Htddei0wmg0wmg2uvvXaPdZs3b8bHP/5xJBIJ9PT04JZbbkGtVmtbs27dOixatAixWAwzZszA3/zN30xq9sHRxuHGcWxsDDfffDPOPPNMxONxzJo1C7fccguy2WzbazWOFvv6PC5duhRz5sxBLBbDtGnTcOWVV+L1119vW6NxtNhXHAXGGCxZsgSO4+CJJ55oe07jaLGvOC5evHiP13/yk59sW6NxtNjf53H16tX48Ic/jEQigY6ODixevBjlcrn5/AkbR3MSY2RkxAwNDTV/nnrqKQPAPPvss23rVq5cac4991wzMDBgHnjggbbnHnjgAbNixQqzYsUKA8CMj4/vcZ7LL7/czJ8/36xatcqsWrXKzJ8/33zsYx9rPt9oNMz8+fPNhz70IbNmzRrz1FNPmYGBAXPTTTc112SzWdPX12c++clPmnXr1pnHH3/cpFIpc//99x/JkBwSDjeO69atM1dddZX56U9/atavX2+eeeYZc8YZZ5hPfOITba/XOBL293l86KGHzPPPP282bNhgXn31VfPxj3/czJw50zQajeYajSNhf3EUfOtb3zJLliwxAMzKlSvbntM4EvYXx0WLFpkbbrih7TgTExNtazSOhP3FcdWqVSadTpsVK1aY3/3ud+bNN980P/nJT0ylUmmuOVHjeFKTlN1x6623mjlz5hjf95uPbd261cyYMcP87ne/M7Nnz97nf2bPPvvsXknKH/7wBwPAvPTSS83HVq9ebQCY119/3RhjzH/+53+aQCBgtm3b1lzz6KOPmkgkYrLZrDHGmAcffNBkMpm2D+WKFSvMwMBA2/VOBRxOHAX/+q//asLhsKnX68YYjaPgYOP4m9/8xgAw69evN8ZoHAWTieNrr71mBgcHzdDQ0B4kReNIOFAcFy1aZG699dZ9HlPjSDhQHC+44AJz55137vOYJ3IcT+pyTytqtRr+6Z/+CX/xF3/RHD7o+z6uvfZafO1rX8PZZ599SMddvXo1MpkMLrjgguZjF154ITKZDFatWtVcM3/+fAwMDDTXfPSjH0W1WsWrr77aXLNo0aI2s56PfvSj2L59OzZu3HhI13Y0cKTimM1mkU6nEQzSeCmN48HHsVgs4pFHHsGpp57anPytcZxcHEulEq6++mp897vfRX9//x7Paxwn/3n853/+Z/T09ODss8/GV7/61eY0ekDjCBw4jiMjI3j55ZfR29uLiy++GH19fVi0aBFefPHF5poTOY5KUhhPPPEEJiYm8NnPfrb52De+8Q0Eg0Hccssth3zcHTt2oLe3d4/He3t7sWPHjuaavr6+tuc7OzsRDof3u0b+LmumAo5EHEdHR/G3f/u3WLp0afMxjePk4/jggw8imUwimUziySefxFNPPYVwOAxA4whMLo5f+tKXcPHFF+PKK6/c6/Max8nF8ZprrsGjjz6K5557DnfddRcef/xxXHXVVc3nNY4HjuM777wDAFi+fDluuOEGPPnkk1i4cCEuueQSvPXWWwBO7DieVFOQ94cf/vCHWLJkSZNlvvrqq/jOd76DNWvWNBnvoWJvrzfGtD1+KGsMi5kO9/qOJA43jrlcDldccQXmzZuHZcuWtT2ncZxcHK+55hpcdtllGBoawv33348///M/x69+9StEo1EAGscDxfGnP/0pfvGLX2Dt2rX7PbbG8cCfxxtuuKH5+/z583HGGWfg/PPPx5o1a7Bw4UIAGscDxdH3fQAkqr3uuusAAO9973vxzDPP4B/+4R+wYsUKACduHDWTAmDTpk14+umncf311zcfe+GFFzAyMoJZs2YhGAwiGAxi06ZN+MpXvoJTTjll0sfu7+/H8PDwHo/v3LmzyVD7+/v3YKnj4+Oo1+v7XTMyMgIAezDf44XDjWM+n8fll1+OZDKJlStXIhQKNZ/TOE4+jplMBmeccQY++MEP4t/+7d/w+uuvY+XKlQA0jpOJ4y9+8Qu8/fbb6OjoaK4BgE984hNYvHgxAI3jof7/uHDhQoRCoWYGQON44DhOnz4dADBv3ry245111lnYvHkzgBM8jsdaBDMVsWzZMtPf398UaRpjzK5du8y6devafgYGBsxtt93WFCK14kDC2Zdffrn52EsvvbRXQdP27dubax577LE9BE0dHR2mWq0219x7771TShh2OHHMZrPmwgsvNIsWLTLFYnGPY2scD+7zKKhWqyYWi5lHHnnEGKNxnEwch4aG9lgDwHznO98x77zzjjFG43ion0eJ5fPPP2+M0ThOJo6+75uBgYE9hLPnnXeeueOOO4wxJ3YcT3qS4nmemTVrlrntttsOuHZvquuhoSGzdu1a84Mf/MAAML/85S/N2rVrzejoaHPN5ZdfbhYsWGBWr15tVq9ebc4555y9toZdcsklZs2aNebpp582g4ODba1hExMTpq+vz1x99dVm3bp15t///d9NOp2eEi12xhxeHHO5nLngggvMOeecY9avX9/Wrrd766zG0WL3OL799tvm7/7u78yvf/1rs2nTJrNq1Spz5ZVXmq6uLjM8PNxcp3Fsx2S6pLCPFmSNo8XucVy/fr25++67zSuvvGI2bNhg/uM//sPMnTvXvPe979V/1/vB3j6PDzzwgEmn0+YnP/mJeeutt8ydd95potFos2vPmBM3jic9SfnZz35mAJg33njjgGv39uFZtmyZAbDHj3xzNcaY0dFRc80115hUKmVSqZS55ppr9si4bNq0yVxxxRUmFouZrq4uc9NNN7W1gRljzG9/+1vzgQ98wEQiEdPf32+WL18+Zb4lHE4cJQu1t58NGzY012kc27F7HLdt22aWLFlient7TSgUMoODg+ZTn/rUHt9sNY7tOFSSonFsx+5x3Lx5s/ngBz9ourq6TDgcNnPmzDG33HJL2xc4YzSOu2Nfn8cVK1aYwcFBE4/HzUUXXWReeOGFtudP1Dg6xkwBSz6FQqFQKBSK3aDCWYVCoVAoFFMSSlIUCoVCoVBMSShJUSgUCoVCMSWhJEWhUCgUCsWUhJIUhUKhUCgUUxJKUhQKhUKhUExJKElRKBQKhUIxJaEkRaFQKBQKxZSEkhSFQqFQKBRTEkpSFAqFQqFQTEkoSVEoFAqFQjEloSRFoVAoFArFlMT/B/e6HwLziFaoAAAAAElFTkSuQmCC",
@@ -109,7 +263,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -127,10 +281,13 @@
     "locations = LayerMeasurements.from_unique_entries(['easting', 'northing'],\n",
     "                                                site_id=site_id)\n",
     "\n",
+    "# Form a polygon object\n",
     "triangle = Polygon(locations)\n",
+    "\n",
+    "# Query the db for raster data in the triangle\n",
     "ds = RasterMeasurements.from_area(shp=triangle, observers='ASO Inc.', type='depth',\n",
     "                                  date=date(2020, 2, 2))\n",
-    "print(ds)\n",
+    "# plot it up!\n",
     "show(ds, vmin=0, vmax=1, cmap='winter')"
    ]
   },
@@ -139,10 +296,12 @@
    "metadata": {},
    "source": [
     "## Recap\n",
-    "Isolating raster datasets can enable users to build out workflows using minimal data from snowex. \n",
+    "Isolating raster datasets can enable users to build out workflows using only data of interest! No more downloading massive datasets (unless you want to!) \n",
     "\n",
-    "**You should know**\n",
-    "* How `RasterMeasurements.from_*` differ from `PointMeasurements.from*` or `LayerMeasurements.from*`"
+    "**You should know something about**\n",
+    "* How `RasterMeasurements.from_*` differ from `PointMeasurements.from*` or `LayerMeasurements.from*`\n",
+    "* Raster with too coarse of filtering were error out due to too many datasets.\n",
+    "* Rasterio datasets offer a useful sample function for point extraction\n"
    ]
   },
   {
diff --git a/book/tutorials/snowex_database/6_wrap_up.ipynb b/book/tutorials/snowex_database/6_wrap_up.ipynb
index 90da625..4bd370d 100644
--- a/book/tutorials/snowex_database/6_wrap_up.ipynb
+++ b/book/tutorials/snowex_database/6_wrap_up.ipynb
@@ -17,7 +17,7 @@
     "* Open Source software means you can participate! Checkout the repos involved:\n",
     "  1. [snowexsql](https://github.com/SnowEx/snowexsql) - Access tool for querying the database.\n",
     "  2. [snowex_db](https://github.com/SnowEx/snowex_db) - Source code for managing the db\n",
-    "  3. [insitupy](https://github.com/M3Works/insitupy) - python package for reading insitu measurements\n",
+    "  3. [insitupy](https://github.com/M3Works/insitupy) - **NEW** python package for reading insitu measurements files\n",
     "     \n",
     "* Can I work locally? Yep! Checkout the [python installation on RTD](https://snowexsql.readthedocs.io/en/latest/installation.html#python) If you are just doing python development you do not need to install the database.\n"
    ]
@@ -32,7 +32,7 @@
     "\n",
     "Big thanks to all the dedicated scientists who went out and collected these invaluable datasets. \n",
     "\n",
-    "A huge thanks to HP Marshall who originally gave us the opportunity to build this a couple years ago. And thanks to Joe Meyer who pursued funding to develop it futher. Buy them a beer or better yet volunteer for field work to hang out with him! \n",
+    "A huge thanks to HP Marshall who originally gave us the opportunity to build this a couple years ago. And thanks to Joe Meyer who pursued funding to develop it futher. Buy them a beer or better yet volunteer for field work to hang out with them! \n",
     "\n",
     "❄️ Go forth and snow science! ❄️"
    ]

From 71ffc128c32380f725321e9fd8537b2efab5c687 Mon Sep 17 00:00:00 2001
From: Micah Johnson <micah.johnson150@gmail.com>
Date: Thu, 15 Aug 2024 20:02:16 +0000
Subject: [PATCH 15/21] Rerun with final data upload

---
 .../2_database_structure.ipynb                |  41 +-
 .../snowex_database/3_forming_queries.ipynb   | 426 +++++++++---------
 .../5_plot_raster_example.ipynb               |  26 +-
 .../snowex_database/7_bonus_challenge.ipynb   | 222 ---------
 .../snowex_database/api_intro_example.ipynb   | 289 ------------
 .../api_plot_pit_density_example.ipynb        | 214 ---------
 6 files changed, 241 insertions(+), 977 deletions(-)
 delete mode 100644 book/tutorials/snowex_database/7_bonus_challenge.ipynb
 delete mode 100644 book/tutorials/snowex_database/api_intro_example.ipynb
 delete mode 100644 book/tutorials/snowex_database/api_plot_pit_density_example.ipynb

diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index b3e7bca..99ca9a9 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -49,45 +49,24 @@
    "id": "07bf71eb",
    "metadata": {},
    "source": [
-    "### What can I use to filter a query?\n"
+    "### How are tables structured?\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "8fd4e693",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "These are the available columns in the table:\n",
-      " \n",
-      "* site_name\n",
-      "* site_id\n",
-      "* date\n",
-      "* instrument\n",
-      "* observers\n",
-      "* type\n",
-      "* utm_zone\n",
-      "* date_greater_equal\n",
-      "* date_less_equal\n",
-      "* value_greater_equal\n",
-      "* value_less_equal\n",
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Import the class reflecting the points table in the db\n",
-    "from snowexsql.api import PointMeasurements as measurements\n",
+    "from snowexsql.api import LayerMeasurements as measurements\n",
     "\n",
     "# Grab one measurment to see what attributes are available\n",
     "df = measurements.from_filter(type=\"depth\", limit=1)\n",
     "\n",
     "# Print out the results nicely\n",
-    "print(\"These are the available columns in the table:\\n \\n* {}\\n\".format('\\n* '.join(measurements.ALLOWED_QRY_KWARGS)))"
+    "print(\"These are the available columns in the table:\\n \\n* {}\\n\".format('\\n* '.join(df.columns)))"
    ]
   },
   {
@@ -97,6 +76,8 @@
    "source": [
     "**Try this:** Using what we just did, but swap out PointMeasurements for LayerMeasurements.\n",
     "\n",
+    "Did you collect any data? What is it? What table do you think it should go in?\n",
+    "\n",
     "For more detail, checkout the readthedocs page on [database structure](https://snowexsql.readthedocs.io/en/latest/database_structure.html) to see how data gets categorized. "
    ]
   },
@@ -133,6 +114,14 @@
     "\n",
     "If you don't feel comfortable with these, you are probably not alone, let's discuss it!"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e260d71e-c4d8-4f4f-b170-4f64f8fa56ed",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
index 0ec8707..5a8fc23 100644
--- a/book/tutorials/snowex_database/3_forming_queries.ipynb
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -8,7 +8,7 @@
     "\n",
     "Get familiar with the tools available for querying the database. The simplest way is to use the api classes \n",
     "* [`snowexsql.api.PointMeasurements`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L185)\n",
-    "* [`snowexsql.api.LayerMeasurements`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L262).\n",
+    "* [`snowexsql.api.LayerMeasurements`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L262)\n",
     "\n",
     "* Each class has to very useful functions\n",
     "  1. [`from_filter`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L192)\n",
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -69,30 +69,6 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>37.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>167.0</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:44.561044+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2178928</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
        "      <td>47.0</td>\n",
        "      <td>Bogus Upper</td>\n",
        "      <td>IDBRBU_20191219_1000</td>\n",
@@ -100,14 +76,14 @@
        "      <td>None</td>\n",
        "      <td>232.0</td>\n",
        "      <td>237.0</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-3176.6666666666665</td>\n",
+       "      <td>None</td>\n",
+       "      <td>234.5</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-13 17:48:18.956152+00:00</td>\n",
+       "      <td>2024-08-15 19:47:45.611639+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2162916</td>\n",
+       "      <td>2325013</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -116,7 +92,7 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
+       "      <th>1</th>\n",
        "      <td>37.0</td>\n",
        "      <td>Bogus Upper</td>\n",
        "      <td>IDBRBU_20191219_1000</td>\n",
@@ -124,14 +100,14 @@
        "      <td>None</td>\n",
        "      <td>249.0</td>\n",
        "      <td>252.0</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-3166.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>250.5</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-13 17:48:18.956152+00:00</td>\n",
+       "      <td>2024-08-15 19:47:45.611639+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2162917</td>\n",
+       "      <td>2325014</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -140,7 +116,7 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>3</th>\n",
+       "      <th>2</th>\n",
        "      <td>27.0</td>\n",
        "      <td>Bogus Upper</td>\n",
        "      <td>IDBRBU_20191219_1000</td>\n",
@@ -148,14 +124,14 @@
        "      <td>None</td>\n",
        "      <td>286.0</td>\n",
        "      <td>296.0</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-3139.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>291.0</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-13 17:48:18.956152+00:00</td>\n",
+       "      <td>2024-08-15 19:47:45.611639+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2162918</td>\n",
+       "      <td>2325015</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -164,7 +140,7 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>4</th>\n",
+       "      <th>3</th>\n",
        "      <td>17.0</td>\n",
        "      <td>Bogus Upper</td>\n",
        "      <td>IDBRBU_20191219_1000</td>\n",
@@ -172,14 +148,14 @@
        "      <td>None</td>\n",
        "      <td>268.0</td>\n",
        "      <td>265.0</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-3155.3333333333335</td>\n",
+       "      <td>None</td>\n",
+       "      <td>266.5</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-13 17:48:18.956152+00:00</td>\n",
+       "      <td>2024-08-15 19:47:45.611639+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2162919</td>\n",
+       "      <td>2325016</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -188,7 +164,7 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>5</th>\n",
+       "      <th>4</th>\n",
        "      <td>47.0</td>\n",
        "      <td>Bogus Upper</td>\n",
        "      <td>IDBRBU_20191219_1000</td>\n",
@@ -201,9 +177,9 @@
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-13 17:48:19.004814+00:00</td>\n",
+       "      <td>2024-08-15 19:47:45.803184+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2162920</td>\n",
+       "      <td>2325035</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -212,7 +188,7 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>6</th>\n",
+       "      <th>5</th>\n",
        "      <td>37.0</td>\n",
        "      <td>Bogus Upper</td>\n",
        "      <td>IDBRBU_20191219_1000</td>\n",
@@ -225,9 +201,9 @@
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-13 17:48:19.004814+00:00</td>\n",
+       "      <td>2024-08-15 19:47:45.803184+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2162921</td>\n",
+       "      <td>2325036</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -236,7 +212,7 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>7</th>\n",
+       "      <th>6</th>\n",
        "      <td>27.0</td>\n",
        "      <td>Bogus Upper</td>\n",
        "      <td>IDBRBU_20191219_1000</td>\n",
@@ -249,9 +225,9 @@
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-13 17:48:19.004814+00:00</td>\n",
+       "      <td>2024-08-15 19:47:45.803184+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2162922</td>\n",
+       "      <td>2325037</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -260,7 +236,7 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>8</th>\n",
+       "      <th>7</th>\n",
        "      <td>17.0</td>\n",
        "      <td>Bogus Upper</td>\n",
        "      <td>IDBRBU_20191219_1000</td>\n",
@@ -273,9 +249,9 @@
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-13 17:48:19.004814+00:00</td>\n",
+       "      <td>2024-08-15 19:47:45.803184+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2162923</td>\n",
+       "      <td>2325038</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -284,22 +260,22 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9</th>\n",
+       "      <th>8</th>\n",
        "      <td>21.0</td>\n",
        "      <td>Banner Open</td>\n",
        "      <td>IDBRBO_20191218_1424</td>\n",
        "      <td>11.0</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>228.0</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>228.0</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:47.341833+00:00</td>\n",
+       "      <td>2024-08-15 19:49:25.059301+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2179263</td>\n",
+       "      <td>2340994</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -308,22 +284,22 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>10</th>\n",
+       "      <th>9</th>\n",
        "      <td>11.0</td>\n",
        "      <td>Banner Open</td>\n",
        "      <td>IDBRBO_20191218_1424</td>\n",
        "      <td>1.0</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>243.0</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>243.0</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:47.341833+00:00</td>\n",
+       "      <td>2024-08-15 19:49:25.059301+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2179264</td>\n",
+       "      <td>2340995</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -332,22 +308,22 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>11</th>\n",
+       "      <th>10</th>\n",
        "      <td>21.0</td>\n",
        "      <td>Banner Open</td>\n",
        "      <td>IDBRBO_20191218_1424</td>\n",
        "      <td>11.0</td>\n",
        "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
        "      <td>228.0</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-6590.0</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:47.428257+00:00</td>\n",
+       "      <td>2024-08-15 19:49:25.114289+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2179269</td>\n",
+       "      <td>2340996</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -356,22 +332,46 @@
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>12</th>\n",
+       "      <th>11</th>\n",
        "      <td>11.0</td>\n",
        "      <td>Banner Open</td>\n",
        "      <td>IDBRBO_20191218_1424</td>\n",
        "      <td>1.0</td>\n",
        "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
        "      <td>243.0</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-6585.0</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:47.428257+00:00</td>\n",
+       "      <td>2024-08-15 19:49:25.114289+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>2340997</td>\n",
+       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
+       "      <td>2024-08-13</td>\n",
+       "      <td>None</td>\n",
+       "      <td>density</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>37.0</td>\n",
+       "      <td>Banner Snotel</td>\n",
+       "      <td>IDBRBS_20191218_1000</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>173.0</td>\n",
+       "      <td>161.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>167.0</td>\n",
+       "      <td>AD</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2019-12-18</td>\n",
+       "      <td>2024-08-15 19:49:25.283128+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2179270</td>\n",
+       "      <td>2341002</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -386,16 +386,16 @@
        "      <td>IDBRBS_20191218_1000</td>\n",
        "      <td>17.0</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>226.0</td>\n",
+       "      <td>233.0</td>\n",
        "      <td>None</td>\n",
        "      <td>229.5</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:44.561044+00:00</td>\n",
+       "      <td>2024-08-15 19:49:25.283128+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2178929</td>\n",
+       "      <td>2341003</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -410,16 +410,16 @@
        "      <td>IDBRBS_20191218_1000</td>\n",
        "      <td>7.0</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>248.0</td>\n",
+       "      <td>259.0</td>\n",
        "      <td>None</td>\n",
        "      <td>253.5</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:44.561044+00:00</td>\n",
+       "      <td>2024-08-15 19:49:25.283128+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2178930</td>\n",
+       "      <td>2341004</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -434,16 +434,16 @@
        "      <td>IDBRBS_20191218_1000</td>\n",
        "      <td>27.0</td>\n",
        "      <td>None</td>\n",
-       "      <td>173.0</td>\n",
-       "      <td>161.0</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-3221.6666666666665</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>167.0</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:44.656838+00:00</td>\n",
+       "      <td>2024-08-15 19:49:25.456365+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2178937</td>\n",
+       "      <td>2341021</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -458,16 +458,16 @@
        "      <td>IDBRBS_20191218_1000</td>\n",
        "      <td>17.0</td>\n",
        "      <td>None</td>\n",
-       "      <td>226.0</td>\n",
-       "      <td>233.0</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-3180.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>229.5</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:44.656838+00:00</td>\n",
+       "      <td>2024-08-15 19:49:25.456365+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2178938</td>\n",
+       "      <td>2341022</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -482,16 +482,16 @@
        "      <td>IDBRBS_20191218_1000</td>\n",
        "      <td>7.0</td>\n",
        "      <td>None</td>\n",
-       "      <td>248.0</td>\n",
-       "      <td>259.0</td>\n",
-       "      <td>-9999</td>\n",
-       "      <td>-3164.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>253.5</td>\n",
        "      <td>AD</td>\n",
        "      <td>...</td>\n",
        "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-13 17:49:44.656838+00:00</td>\n",
+       "      <td>2024-08-15 19:49:25.456365+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2178939</td>\n",
+       "      <td>2341023</td>\n",
        "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
        "      <td>2024-08-13</td>\n",
        "      <td>None</td>\n",
@@ -506,64 +506,64 @@
       ],
       "text/plain": [
        "    depth        site_id                pit_id  bottom_depth comments  \\\n",
-       "0    37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
-       "1    47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
-       "2    37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
-       "3    27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
-       "4    17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
-       "5    47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
-       "6    37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
-       "7    27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
-       "8    17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
-       "9    21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
-       "10   11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
-       "11   21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
-       "12   11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
+       "0    47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
+       "1    37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
+       "2    27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
+       "3    17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
+       "4    47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
+       "5    37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
+       "6    27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
+       "7    17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
+       "8    21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
+       "9    11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
+       "10   21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
+       "11   11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
+       "12   37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
        "13   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
        "14   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
        "15   37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
        "16   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
        "17   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
        "\n",
-       "   sample_a sample_b sample_c                value flags  ...        date  \\\n",
-       "0      None     None     None                167.0    AD  ...  2019-12-18   \n",
-       "1     232.0    237.0    -9999  -3176.6666666666665    AD  ...  2019-12-19   \n",
-       "2     249.0    252.0    -9999              -3166.0    AD  ...  2019-12-19   \n",
-       "3     286.0    296.0    -9999              -3139.0    AD  ...  2019-12-19   \n",
-       "4     268.0    265.0    -9999  -3155.3333333333335    AD  ...  2019-12-19   \n",
-       "5      None     None     None                234.5    AD  ...  2019-12-19   \n",
-       "6      None     None     None                250.5    AD  ...  2019-12-19   \n",
-       "7      None     None     None                291.0    AD  ...  2019-12-19   \n",
-       "8      None     None     None                266.5    AD  ...  2019-12-19   \n",
-       "9      None     None     None                228.0    AD  ...  2019-12-18   \n",
-       "10     None     None     None                243.0    AD  ...  2019-12-18   \n",
-       "11    228.0    -9999    -9999              -6590.0    AD  ...  2019-12-18   \n",
-       "12    243.0    -9999    -9999              -6585.0    AD  ...  2019-12-18   \n",
-       "13     None     None     None                229.5    AD  ...  2019-12-18   \n",
-       "14     None     None     None                253.5    AD  ...  2019-12-18   \n",
-       "15    173.0    161.0    -9999  -3221.6666666666665    AD  ...  2019-12-18   \n",
-       "16    226.0    233.0    -9999              -3180.0    AD  ...  2019-12-18   \n",
-       "17    248.0    259.0    -9999              -3164.0    AD  ...  2019-12-18   \n",
+       "   sample_a sample_b sample_c  value flags  ...        date  \\\n",
+       "0     232.0    237.0     None  234.5    AD  ...  2019-12-19   \n",
+       "1     249.0    252.0     None  250.5    AD  ...  2019-12-19   \n",
+       "2     286.0    296.0     None  291.0    AD  ...  2019-12-19   \n",
+       "3     268.0    265.0     None  266.5    AD  ...  2019-12-19   \n",
+       "4      None     None     None  234.5    AD  ...  2019-12-19   \n",
+       "5      None     None     None  250.5    AD  ...  2019-12-19   \n",
+       "6      None     None     None  291.0    AD  ...  2019-12-19   \n",
+       "7      None     None     None  266.5    AD  ...  2019-12-19   \n",
+       "8     228.0     None     None  228.0    AD  ...  2019-12-18   \n",
+       "9     243.0     None     None  243.0    AD  ...  2019-12-18   \n",
+       "10     None     None     None  228.0    AD  ...  2019-12-18   \n",
+       "11     None     None     None  243.0    AD  ...  2019-12-18   \n",
+       "12    173.0    161.0     None  167.0    AD  ...  2019-12-18   \n",
+       "13    226.0    233.0     None  229.5    AD  ...  2019-12-18   \n",
+       "14    248.0    259.0     None  253.5    AD  ...  2019-12-18   \n",
+       "15     None     None     None  167.0    AD  ...  2019-12-18   \n",
+       "16     None     None     None  229.5    AD  ...  2019-12-18   \n",
+       "17     None     None     None  253.5    AD  ...  2019-12-18   \n",
        "\n",
        "                       time_created  time_updated       id  \\\n",
-       "0  2024-08-13 17:49:44.561044+00:00          None  2178928   \n",
-       "1  2024-08-13 17:48:18.956152+00:00          None  2162916   \n",
-       "2  2024-08-13 17:48:18.956152+00:00          None  2162917   \n",
-       "3  2024-08-13 17:48:18.956152+00:00          None  2162918   \n",
-       "4  2024-08-13 17:48:18.956152+00:00          None  2162919   \n",
-       "5  2024-08-13 17:48:19.004814+00:00          None  2162920   \n",
-       "6  2024-08-13 17:48:19.004814+00:00          None  2162921   \n",
-       "7  2024-08-13 17:48:19.004814+00:00          None  2162922   \n",
-       "8  2024-08-13 17:48:19.004814+00:00          None  2162923   \n",
-       "9  2024-08-13 17:49:47.341833+00:00          None  2179263   \n",
-       "10 2024-08-13 17:49:47.341833+00:00          None  2179264   \n",
-       "11 2024-08-13 17:49:47.428257+00:00          None  2179269   \n",
-       "12 2024-08-13 17:49:47.428257+00:00          None  2179270   \n",
-       "13 2024-08-13 17:49:44.561044+00:00          None  2178929   \n",
-       "14 2024-08-13 17:49:44.561044+00:00          None  2178930   \n",
-       "15 2024-08-13 17:49:44.656838+00:00          None  2178937   \n",
-       "16 2024-08-13 17:49:44.656838+00:00          None  2178938   \n",
-       "17 2024-08-13 17:49:44.656838+00:00          None  2178939   \n",
+       "0  2024-08-15 19:47:45.611639+00:00          None  2325013   \n",
+       "1  2024-08-15 19:47:45.611639+00:00          None  2325014   \n",
+       "2  2024-08-15 19:47:45.611639+00:00          None  2325015   \n",
+       "3  2024-08-15 19:47:45.611639+00:00          None  2325016   \n",
+       "4  2024-08-15 19:47:45.803184+00:00          None  2325035   \n",
+       "5  2024-08-15 19:47:45.803184+00:00          None  2325036   \n",
+       "6  2024-08-15 19:47:45.803184+00:00          None  2325037   \n",
+       "7  2024-08-15 19:47:45.803184+00:00          None  2325038   \n",
+       "8  2024-08-15 19:49:25.059301+00:00          None  2340994   \n",
+       "9  2024-08-15 19:49:25.059301+00:00          None  2340995   \n",
+       "10 2024-08-15 19:49:25.114289+00:00          None  2340996   \n",
+       "11 2024-08-15 19:49:25.114289+00:00          None  2340997   \n",
+       "12 2024-08-15 19:49:25.283128+00:00          None  2341002   \n",
+       "13 2024-08-15 19:49:25.283128+00:00          None  2341003   \n",
+       "14 2024-08-15 19:49:25.283128+00:00          None  2341004   \n",
+       "15 2024-08-15 19:49:25.456365+00:00          None  2341021   \n",
+       "16 2024-08-15 19:49:25.456365+00:00          None  2341022   \n",
+       "17 2024-08-15 19:49:25.456365+00:00          None  2341023   \n",
        "\n",
        "                                     doi  date_accessed instrument     type  \\\n",
        "0   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
@@ -608,13 +608,13 @@
        "[18 rows x 29 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -652,7 +652,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -714,9 +714,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2184545</td>\n",
+       "      <td>2346713</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -738,9 +738,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2184546</td>\n",
+       "      <td>2346714</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -762,9 +762,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2184547</td>\n",
+       "      <td>2346715</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -786,9 +786,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2184548</td>\n",
+       "      <td>2346716</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -810,9 +810,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-13 17:57:56.560918+00:00</td>\n",
+       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2184549</td>\n",
+       "      <td>2346717</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -858,9 +858,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2186850</td>\n",
+       "      <td>2349018</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -882,9 +882,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2186851</td>\n",
+       "      <td>2349019</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -906,9 +906,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2186852</td>\n",
+       "      <td>2349020</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -930,9 +930,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2186853</td>\n",
+       "      <td>2349021</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -954,9 +954,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-13 17:58:01.182985+00:00</td>\n",
+       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2186854</td>\n",
+       "      <td>2349022</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -984,30 +984,30 @@
        "159    8.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
        "\n",
        "    sample_c value flags  ...        date                     time_created  \\\n",
-       "0       None  45.6  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
-       "1       None  38.2  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
-       "2       None  24.5  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
-       "3       None  23.5  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
-       "4       None  22.4  None  ...  2020-02-12 2024-08-13 17:57:56.560918+00:00   \n",
+       "0       None  45.6  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
+       "1       None  38.2  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
+       "2       None  24.5  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
+       "3       None  23.5  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
+       "4       None  22.4  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
        "..       ...   ...   ...  ...         ...                              ...   \n",
-       "155     None  13.1  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
-       "156     None  10.1  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
-       "157     None  10.6  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
-       "158     None  10.5  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
-       "159     None  13.2  None  ...  2020-01-31 2024-08-13 17:58:01.182985+00:00   \n",
+       "155     None  13.1  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
+       "156     None  10.1  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
+       "157     None  10.6  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
+       "158     None  10.5  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
+       "159     None  13.2  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
        "\n",
        "     time_updated       id                                   doi  \\\n",
-       "0            None  2184545  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "1            None  2184546  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "2            None  2184547  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "3            None  2184548  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "4            None  2184549  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "0            None  2346713  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "1            None  2346714  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "2            None  2346715  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "3            None  2346716  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "4            None  2346717  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
        "..            ...      ...                                   ...   \n",
-       "155          None  2186850  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "156          None  2186851  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "157          None  2186852  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "158          None  2186853  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "159          None  2186854  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "155          None  2349018  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "156          None  2349019  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "157          None  2349020  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "158          None  2349021  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "159          None  2349022  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
        "\n",
        "     date_accessed     instrument                   type units  \\\n",
        "0       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
@@ -1038,7 +1038,7 @@
        "[160 rows x 29 columns]"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -1087,20 +1087,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Available types = swe, depth, two_way_travel\n",
+      "Available types = two_way_travel, snow_void, density, swe, depth\n",
       "\n",
       "Available Instruments = Mala 1600 MHz GPR, None, Mala 800 MHz GPR, pulse EKKO Pro multi-polarization 1 GHz GPR, pit ruler, mesa, magnaprobe, camera\n",
       "\n",
-      "Available Dates = 2020-05-28, 2020-01-09, 2020-05-23, 2020-01-04, 2019-11-29, 2019-10-20, 2019-11-30, 2020-04-17, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2020-04-01, 2020-05-14, 2019-10-29, 2019-10-14, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-29, 2020-04-26, 2019-10-12, 2020-02-23, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2020-02-12, 2020-05-06, 2019-11-19, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2019-12-27, 2019-10-01, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2020-03-07, 2019-10-31, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2019-12-25, 2019-12-14, 2019-10-24, 2020-02-01, 2020-03-11, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2019-10-10, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2019-12-26, 2019-12-15, 2020-05-07, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2020-03-15, 2020-01-16, 2019-11-23, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2020-05-31, 2020-03-04, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2019-10-09, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2020-02-21, 2019-10-30, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2019-12-22, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2020-02-22, 2020-05-08, 2020-01-24, 2019-12-24, 2020-04-22, 2020-03-31, 2020-01-08, 2019-11-04, 2020-02-06, 2020-03-05, 2020-03-14, 2020-06-09, 2020-02-20, 2020-04-05, 2020-06-03, 2019-10-16, 2020-04-15, 2019-12-03, 2020-05-30, 2019-11-09, 2020-04-28, 2020-01-12, 2020-05-20, 2020-05-02, 2020-02-05, 2020-01-28, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2020-04-09, 2019-09-30, 2020-01-05, 2019-10-27, 2020-04-10, 2020-03-16, 2020-03-21, 2020-02-02, 2020-04-08, 2020-02-25, 2020-01-29, 2019-12-04, 2019-11-26, 2020-03-19, 2020-01-20, 2020-02-27, 2019-12-31, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-03-01, 2020-02-17, 2020-05-21, 2019-10-23, 2020-04-11, 2019-10-21, 2019-11-25, 2020-04-12, 2020-03-13, 2020-05-01, 2020-03-08, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2020-05-15, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2020-05-18, 2019-12-05, 2019-11-20, 2020-06-06, 2019-11-18, 2020-06-10, 2020-01-27, 2020-01-18, 2020-06-04, 2020-04-27, 2020-03-25, 2019-10-15, 2020-03-26, 2019-10-03\n",
+      "Available Dates = 2020-05-28, 2020-01-09, 2021-03-19, 2020-05-23, 2020-01-04, 2019-11-29, 2019-10-20, 2019-11-30, 2021-01-28, 2020-04-17, 2021-02-19, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2021-03-18, 2020-04-01, 2020-05-14, 2019-10-29, 2019-10-14, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-29, 2020-04-26, 2019-10-12, 2021-03-03, 2021-01-15, 2020-02-23, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2023-03-13, 2020-02-12, 2020-05-06, 2019-11-19, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2021-03-21, 2021-04-21, 2023-03-15, 2020-11-25, 2019-12-27, 2021-01-27, 2019-10-01, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2021-01-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2021-03-05, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2021-03-04, 2021-03-24, 2021-03-16, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2020-03-07, 2019-10-31, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2021-02-09, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2021-02-17, 2021-01-07, 2021-03-31, 2019-12-25, 2019-12-14, 2019-10-24, 2020-02-01, 2020-03-11, 2021-03-23, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2020-11-20, 2019-10-10, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2021-05-05, 2021-04-06, 2019-12-26, 2019-12-15, 2020-05-07, 2021-01-20, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2021-01-14, 2020-03-15, 2020-01-16, 2019-11-23, 2023-03-14, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2023-03-12, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2021-03-17, 2020-05-31, 2020-03-04, 2021-02-24, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2021-02-25, 2019-10-09, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2020-02-21, 2019-10-30, 2020-12-17, 2023-03-07, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2021-02-11, 2019-12-22, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2023-03-16, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2021-04-14, 2023-03-09, 2023-03-08, 2020-02-22, 2020-12-18, 2020-05-08, 2020-01-24, 2019-12-24, 2020-04-22, 2020-03-31, 2020-01-08, 2019-11-04, 2020-02-06, 2021-02-18, 2020-03-05, 2021-05-27, 2020-03-14, 2021-02-04, 2020-06-09, 2021-01-21, 2020-02-20, 2020-11-23, 2020-04-05, 2021-05-07, 2020-06-03, 2019-10-16, 2020-04-15, 2021-01-26, 2019-12-03, 2020-05-30, 2019-11-09, 2021-02-16, 2020-04-28, 2020-01-12, 2020-05-20, 2023-03-10, 2020-05-02, 2020-02-05, 2020-01-28, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2021-04-28, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2021-03-10, 2020-04-09, 2019-09-30, 2020-01-05, 2019-10-27, 2020-04-10, 2021-04-23, 2020-03-16, 2020-03-21, 2020-02-02, 2020-04-08, 2020-02-25, 2020-01-29, 2021-03-22, 2019-12-04, 2021-02-10, 2021-02-03, 2019-11-26, 2020-03-19, 2020-01-20, 2020-02-27, 2019-12-31, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-12-08, 2020-03-01, 2020-02-17, 2021-03-02, 2020-05-21, 2019-10-23, 2020-04-11, 2019-10-21, 2020-12-16, 2019-11-25, 2020-04-12, 2020-03-13, 2021-05-20, 2020-05-01, 2021-01-13, 2020-03-08, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2021-02-23, 2020-05-15, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2021-05-17, 2021-04-07, 2020-05-18, 2019-12-05, 2019-11-20, 2020-06-06, 2020-12-09, 2023-03-11, 2021-02-02, 2019-11-18, 2020-06-10, 2020-01-27, 2020-11-16, 2020-01-18, 2020-06-04, 2020-04-27, 2020-12-01, 2020-03-25, 2019-10-15, 2020-03-26, 2021-03-09, 2019-10-03\n",
       "\n",
-      "Available sites = None, Grand Mesa\n"
+      "Available sites = American River Basin, Central Ag Research Center, Senator Beck, Fairbanks, None, Fraser Experimental Forest, Boise River Basin, Little Cottonwood Canyon, East River, North Slope, Jemez River, Grand Mesa, Cameron Pass, Sagehen Creek, Mammoth Lakes, Niwot Ridge\n"
      ]
     }
    ],
@@ -1139,28 +1139,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "[datetime.date(2020, 2, 4),\n",
-       " datetime.date(2020, 2, 6),\n",
-       " datetime.date(2020, 2, 11),\n",
-       " datetime.date(2020, 2, 12),\n",
+       " datetime.date(2020, 2, 3),\n",
        " datetime.date(2020, 1, 30),\n",
-       " datetime.date(2020, 2, 10),\n",
-       " datetime.date(2020, 1, 31),\n",
        " datetime.date(2020, 2, 1),\n",
-       " datetime.date(2020, 2, 3),\n",
+       " datetime.date(2020, 2, 6),\n",
+       " datetime.date(2020, 1, 31),\n",
+       " datetime.date(2020, 2, 12),\n",
        " datetime.date(2020, 2, 8),\n",
        " datetime.date(2020, 2, 5),\n",
-       " datetime.date(2020, 1, 29),\n",
-       " datetime.date(2020, 1, 28)]"
+       " datetime.date(2020, 1, 28),\n",
+       " datetime.date(2020, 2, 11),\n",
+       " datetime.date(2020, 2, 10),\n",
+       " datetime.date(2020, 1, 29)]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1186,7 +1186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -1203,7 +1203,7 @@
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mLargeQueryCheckException\u001b[0m                  Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[4], line 5\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PointMeasurements\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m# Query db using a vague filter or on a huge dataset like GPR\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mPointMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtwo_way_travel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# Show the dataframe\u001b[39;00m\n\u001b[1;32m      8\u001b[0m df\n",
+      "Cell \u001b[0;32mIn[10], line 5\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PointMeasurements\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m# Query db using a vague filter or on a huge dataset like GPR\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mPointMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtwo_way_travel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# Show the dataframe\u001b[39;00m\n\u001b[1;32m      8\u001b[0m df\n",
       "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:246\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    244\u001b[0m         session\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m    245\u001b[0m         LOG\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed query for PointData\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 246\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    248\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df\n",
       "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:241\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    239\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    240\u001b[0m     qry \u001b[38;5;241m=\u001b[39m session\u001b[38;5;241m.\u001b[39mquery(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMODEL)\n\u001b[0;32m--> 241\u001b[0m     qry \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mextend_qry\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    242\u001b[0m     df \u001b[38;5;241m=\u001b[39m query_to_geopandas(qry, engine)\n\u001b[1;32m    243\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
       "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:139\u001b[0m, in \u001b[0;36mBaseDataset.extend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not an allowed filter\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_size:\n\u001b[0;32m--> 139\u001b[0m     \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_size\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    141\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m qry\n",
diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
index a26f870..ffbe525 100644
--- a/book/tutorials/snowex_database/5_plot_raster_example.ipynb
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -142,22 +142,22 @@
        "      <td>67.0</td>\n",
        "      <td>1N3</td>\n",
        "      <td>COGM1N3_20200211</td>\n",
+       "      <td>57.0</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>-11.8</td>\n",
+       "      <td>242.5</td>\n",
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-11</td>\n",
-       "      <td>2024-08-15 16:29:34.025587+00:00</td>\n",
+       "      <td>2024-08-15 19:24:19.860106+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2230897</td>\n",
+       "      <td>2308829</td>\n",
        "      <td>https://doi.org/10.5067/DUD2VZEVBJ7S</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>None</td>\n",
-       "      <td>temperature</td>\n",
+       "      <td>density</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
@@ -167,22 +167,22 @@
        "</div>"
       ],
       "text/plain": [
-       "   depth site_id            pit_id bottom_depth comments sample_a sample_b  \\\n",
-       "0   67.0     1N3  COGM1N3_20200211         None     None     None     None   \n",
+       "   depth site_id            pit_id  bottom_depth comments sample_a sample_b  \\\n",
+       "0   67.0     1N3  COGM1N3_20200211          57.0     None     None     None   \n",
        "\n",
        "  sample_c  value flags  ...        date                     time_created  \\\n",
-       "0     None  -11.8  None  ...  2020-02-11 2024-08-15 16:29:34.025587+00:00   \n",
+       "0     None  242.5  None  ...  2020-02-11 2024-08-15 19:24:19.860106+00:00   \n",
        "\n",
        "   time_updated       id                                   doi  date_accessed  \\\n",
-       "0          None  2230897  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
+       "0          None  2308829  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
        "\n",
-       "  instrument         type units observers  \n",
-       "0       None  temperature  None      None  \n",
+       "  instrument     type units observers  \n",
+       "0       None  density  None      None  \n",
        "\n",
        "[1 rows x 29 columns]"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/book/tutorials/snowex_database/7_bonus_challenge.ipynb b/book/tutorials/snowex_database/7_bonus_challenge.ipynb
deleted file mode 100644
index c6de56c..0000000
--- a/book/tutorials/snowex_database/7_bonus_challenge.ipynb
+++ /dev/null
@@ -1,222 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Bonus Challenge: Analyzing Pits\n",
-    "\n",
-    "LayerData, like pits, have some nuance. This challenge will give us some chance to explore the data and get some practice querying and plotting. \n",
-    "This can be done as a small group exercise.\n",
-    "\n",
-    "Don't forget your [cheat sheets](https://snowexsql.readthedocs.io/en/latest/cheat_sheet.html)! \n",
-    "\n",
-    "**Goal**: Get more familiar with LayerData and create a vertical profile plot of density\n",
-    "\n",
-    "**Approach**: \n",
-    "\n",
-    "1. Connect to the DB\n",
-    "2. Explore the data\n",
-    "2. Build a query filtering to the dataset you want\n",
-    "3. Convert to a GeoDataFrame and plot"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Process\n",
-    "### Step 1: Get connected"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Import the function to get connect to the db\n",
-    "from snowexsql.db import get_db\n",
-    "\n",
-    "# Import our class for the layer data\n",
-    "from snowexsql.data import LayerData\n",
-    "\n",
-    "# Import a useful function to format that data into a dataframe\n",
-    "from snowexsql.conversions import query_to_geopandas\n",
-    "\n",
-    "# Import some tools to build dates \n",
-    "from datetime import date\n",
-    "\n",
-    "# This is what you will use for all of hackweek to access the db\n",
-    "db_name = 'snow:hackweek@db.snowexdata.org/snowex'"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 2: Explore the data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from snowexsql.db import get_table_attributes\n",
-    "\n",
-    "# print the columns available\n",
-    "db_columns = get_table_attributes(LayerData)\n",
-    "print(\"These are the available columns in the table:\\n \\n* {}\\n\".format('\\n* '.join(db_columns)))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Find the site names and site ids"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Connect\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "# Find the distinct site names\n",
-    "result = session.query(LayerData.site_name).filter(LayerData.type == 'density').distinct().all()\n",
-    "site_names = [r[0] for r in result]\n",
-    "\n",
-    "# Find the distinct site_names for the site\n",
-    "print(site_names)\n",
-    "\n",
-    "# Close session\n",
-    "session.close()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Connect\n",
-    "engine, session = get_db(db_name)\n",
-    "\n",
-    "# We can filter to a site_name, change this to whichever value you want as the site name order may not be consistent\n",
-    "site_name = site_names[0]\n",
-    "\n",
-    "# Find the distinct site ids for a site_name\n",
-    "result = session.query(LayerData.site_id)\n",
-    "result = result.filter(LayerData.type == 'density')\n",
-    "result = result.filter(LayerData.site_name == site_name)\n",
-    "\n",
-    "result = result.distinct().all()\n",
-    "site_ids = [r[0] for r in result]\n",
-    "\n",
-    "# Find the distinct site_ids for the site\n",
-    "print(site_ids)\n",
-    "\n",
-    "# Close session\n",
-    "session.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 3: Build a query to get the values for 1 pit\n",
-    "\n",
-    "A few things to keep in mind\n",
-    "\n",
-    "* You will need to filter to one site_id and one unique date OR one pit_id\n",
-    "* You will need the density and depth columns to create a vertical profile"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n",
-    "pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 4: Convert to a GeoDataFrame and plot"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": [
-     "nbsphinx-gallery",
-     "nbsphinx-thumbnail"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "# Use the query you built to build a GeoDataFrame and plot the data\n",
-    "# Your code here\n",
-    "pass"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Extra: Can you get the bulk density of the snowpack?"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Your code here\n",
-    "pass"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# a block for closing errant sessions\n",
-    "session.close()"
-   ]
-  }
- ],
- "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": "3.12.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/book/tutorials/snowex_database/api_intro_example.ipynb b/book/tutorials/snowex_database/api_intro_example.ipynb
deleted file mode 100644
index ceca8d3..0000000
--- a/book/tutorials/snowex_database/api_intro_example.ipynb
+++ /dev/null
@@ -1,289 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Welcome to the API!\n",
-    "\n",
-    "**Goal**: Easy programmatic access to the database with **no user SQL**\n",
-    "\n",
-    "\n",
-    "## Notes\n",
-    "\n",
-    " * This is not a REST API, more of an SDK\n",
-    " * Current access is for *point* and *layer* data\n",
-    " * Funtions return **lists** or **Geopandas Dataframes**"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 1. Import the classes, explore them"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# imports\n",
-    "from datetime import date\n",
-    "import geopandas as gpd\n",
-    "from snowexsql.api import PointMeasurements, LayerMeasurements"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# The main functions we will use are `from_area` and `from_filter` like this\n",
-    "df = PointMeasurements.from_filter(\n",
-    "    date=date(2020, 5, 28), instrument='camera'\n",
-    ")\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Notice:\n",
-    " * We did not need to manage SQL\n",
-    " * We got a geopandas array\n",
-    " * We filtered on specific attributes known to be in the database"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### How do I know what to filter by?"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Find what you can filter by\n",
-    "print(PointMeasurements.ALLOWED_QRY_KWARGS)\n",
-    "print(LayerMeasurements.ALLOWED_QRY_KWARGS)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### How do I know what values work for filtering?"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(PointMeasurements().all_observers)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Try it out\n",
-    "\n",
-    "* What instrument could you filter by for PointData?\n",
-    "* What site names could you filter by for LayerData?"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Notice we instantiate the class \n",
-    "`PointMeasurements()`\n",
-    "Before calling the property `.all_observers`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# <YOUR CODE HERE>"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Explore the points\n",
-    "df.crs\n",
-    "df.to_crs(\"EPSG:4326\").loc[:,[\"id\", \"value\", \"type\", \"geom\", \"instrument\"]].explore()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### What if I have a point or a shapefile\n",
-    "\n",
-    "Both the PointMeasurement and LayerMeasurement class have a function called `from_area`\n",
-    "that takes either a `shapely` polygon or a `shapely` point and a radius as well as the same\n",
-    "filter kwargs available in `.from_filter`\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Set up a fake shapefile\n",
-    "gdf = gpd.GeoDataFrame(\n",
-    "    geometry=gpd.points_from_xy(\n",
-    "        [743766.4794971556], [4321444.154620216], crs=\"epsg:26912\"\n",
-    "    ).buffer(2000.0)\n",
-    ").set_crs(\"epsg:26912\")\n",
-    "\n",
-    "# This is the area we will filter to\n",
-    "gdf.explore()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Get density near the point\n",
-    "df = LayerMeasurements.from_area(\n",
-    "    type=\"density\",\n",
-    "    shp=gdf.iloc[0].geometry,\n",
-    ")\n",
-    "\n",
-    "df.to_crs(\"EPSG:4326\").loc[:,[\"id\", \"depth\", \"value\", \"type\", \"geom\"]].explore()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### How much filtering is enough? "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "I got a `LargeQueryCheckException`\n",
-    "\n",
-    "GIVE ME THE DATA PLEASE"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": [
-     "nbsphinx-gallery",
-     "nbsphinx-thumbnail"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "# This query will fail\n",
-    "df = PointMeasurements.from_filter(\n",
-    "    instrument=\"magnaprobe\",\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Th queries will pass\n",
-    "df = PointMeasurements.from_filter(\n",
-    "    instrument=\"magnaprobe\",\n",
-    "    limit=100\n",
-    ")\n",
-    "\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### DANGER ZONE\n",
-    "If you need more than 1000 points returned, you can specify so with the `limit`\n",
-    "\n",
-    "The intention is to be aware of how much data will be returned"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# DANGER ZONE\n",
-    "# If you need more than 1000 points returned, you can specify so with the limit\n",
-    "df = PointMeasurements.from_filter(\n",
-    "    date=date(2020, 1, 28),\n",
-    "    instrument=\"magnaprobe\",\n",
-    "    limit=3000\n",
-    ")\n",
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# THE END\n",
-    "\n",
-    "### Go forth and explore"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "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": "3.12.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb b/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb
deleted file mode 100644
index 88b669b..0000000
--- a/book/tutorials/snowex_database/api_plot_pit_density_example.ipynb
+++ /dev/null
@@ -1,214 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Welcome to the API PT2!\n",
-    "\n",
-    "## Data Edition\n",
-    "\n",
-    "#### Goal - Filter down to the pit density we want and plot it"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 1. Imports"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# imports\n",
-    "from datetime import date\n",
-    "import geopandas as gpd\n",
-    "import matplotlib.pyplot as plt\n",
-    "from snowexsql.api import PointMeasurements, LayerMeasurements"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 2. Find the pits in the Boise River Basin"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Find site names we can use\n",
-    "print(LayerMeasurements().all_site_names)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Get the first 1000 measurements from the Boise River Basin Site\n",
-    "df = LayerMeasurements.from_filter(\n",
-    "    type=\"density\",\n",
-    "    site_name=\"Boise River Basin\",\n",
-    "    limit=1000\n",
-    ")\n",
-    "\n",
-    "# Explore the pits so we can find an interesting site\n",
-    "df.loc[:, [\"site_id\", \"geom\"]].drop_duplicates().explore()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Step 3. Pick a point of interest"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "tags": [
-     "nbsphinx-gallery",
-     "nbsphinx-thumbnail"
-    ]
-   },
-   "outputs": [],
-   "source": [
-    "# We noticed there are a lot of pits (timeseries pits) for Banner Open\n",
-    "# Filter down to ONE timeseries\n",
-    "site_id = \"Banner Open\"\n",
-    "df = LayerMeasurements.from_filter(\n",
-    "    type=\"density\",\n",
-    "    site_id=site_id\n",
-    ").set_crs(\"epsg:26911\")\n",
-    "\n",
-    "df.loc[:, [\"site_id\", \"geom\"]].drop_duplicates().explore()\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Get the mean of each date sampled\n",
-    "df[\"value\"] = df[\"value\"].astype(float)\n",
-    "df.set_index(\"date\", inplace=True)\n",
-    "mean_values = df.groupby(df.index).mean()\n",
-    "mean_values.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Notes on this mean\n",
-    "\n",
-    "Taking this `mean` as bulk density **could be flawed** if layers are overlapping or layers vary in thickness"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# !pip install plotly\n",
-    "import plotly.express as px\n",
-    "# For rendering in readthedocs\n",
-    "import plotly.offline as py\n",
-    "py.init_notebook_mode(connected=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Plot the timeseries of mean density\n",
-    "fig = px.line(\n",
-    "    mean_values, x=mean_values.index, y='value',\n",
-    "    title=f'Mean Density - {site_id}',\n",
-    "    labels={'value': 'Density', 'date': 'Date'}\n",
-    ")\n",
-    "\n",
-    "fig.update_layout(\n",
-    "    template='plotly_dark'\n",
-    ")\n",
-    "\n",
-    "# Show the plot\n",
-    "fig.show()\n",
-    "\n",
-    "# alternative matplotlib code\n",
-    "# mean_values[\"value\"].plot()\n",
-    "# plt.title('Mean Density by Date')\n",
-    "# plt.xlabel('Date')\n",
-    "# plt.ylabel('Mean Density')\n",
-    "# plt.gcf().autofmt_xdate()\n",
-    "# plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Show more detail by using a box plot\n",
-    "# make sure values are floats\n",
-    "df[\"value\"] = df[\"value\"].astype(float)\n",
-    "\n",
-    "# make Make a box plot\n",
-    "fig = px.box(df, x='date', y='value', notched=True, title='Pit Density by Date')\n",
-    "fig.update_traces(hoverinfo='y+name')\n",
-    "fig.update_layout(template='plotly_dark')\n",
-    "\n",
-    "# alternative matplotlib code\n",
-    "# df.boxplot(by='date', column='value')\n",
-    "# plt.title('Density Distribution for Banner by Date')\n",
-    "# plt.suptitle('')  # Suppress the automatic title\n",
-    "# plt.xlabel('Date')\n",
-    "# plt.ylabel('Value')\n",
-    "# plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "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": "3.12.4"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}

From 73cb95136c2b0409a0e64dc2073856a29b14e13c Mon Sep 17 00:00:00 2001
From: Micah Johnson <micah.johnson150@gmail.com>
Date: Fri, 16 Aug 2024 16:41:15 +0000
Subject: [PATCH 16/21] DUN

---
 .../1_getting_started_example.ipynb           | 369 +++++----
 .../2_database_structure.ipynb                |  45 +-
 .../snowex_database/3_forming_queries.ipynb   | 737 ++----------------
 .../4_get_spiral_example.ipynb                |  53 +-
 .../5_plot_raster_example.ipynb               |   4 +-
 5 files changed, 335 insertions(+), 873 deletions(-)

diff --git a/book/tutorials/snowex_database/1_getting_started_example.ipynb b/book/tutorials/snowex_database/1_getting_started_example.ipynb
index 3bb9de6..55142c3 100644
--- a/book/tutorials/snowex_database/1_getting_started_example.ipynb
+++ b/book/tutorials/snowex_database/1_getting_started_example.ipynb
@@ -80,16 +80,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/home/jovyan/event-page-2024/book/tutorials/snowex_database\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -138,23 +131,23 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>94.0</td>\n",
-       "      <td>39.03045</td>\n",
-       "      <td>-108.13515</td>\n",
-       "      <td>4.324062e+06</td>\n",
-       "      <td>747987.619062</td>\n",
-       "      <td>3148.2</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>39.04496</td>\n",
+       "      <td>-108.06311</td>\n",
+       "      <td>4.325871e+06</td>\n",
+       "      <td>754172.639132</td>\n",
+       "      <td>3253.169922</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747987.619 4324061.706)</td>\n",
+       "      <td>POINT (754172.639 4325871.377)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
+       "      <td>2020-03-12</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4070</td>\n",
+       "      <td>41824</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
@@ -162,23 +155,23 @@
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>74.0</td>\n",
-       "      <td>39.03045</td>\n",
-       "      <td>-108.13516</td>\n",
-       "      <td>4.324062e+06</td>\n",
-       "      <td>747986.753289</td>\n",
-       "      <td>3148.3</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>39.04563</td>\n",
+       "      <td>-108.19593</td>\n",
+       "      <td>4.325583e+06</td>\n",
+       "      <td>742673.504400</td>\n",
+       "      <td>3048.699951</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747986.753 4324061.679)</td>\n",
+       "      <td>POINT (742673.504 4325582.611)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
+       "      <td>2020-01-30</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4071</td>\n",
+       "      <td>41825</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
@@ -186,23 +179,23 @@
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>90.0</td>\n",
-       "      <td>39.03045</td>\n",
-       "      <td>-108.13517</td>\n",
-       "      <td>4.324062e+06</td>\n",
-       "      <td>747985.887517</td>\n",
-       "      <td>3148.2</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>117.0</td>\n",
+       "      <td>39.00760</td>\n",
+       "      <td>-108.14791</td>\n",
+       "      <td>4.321491e+06</td>\n",
+       "      <td>746962.448982</td>\n",
+       "      <td>3087.709961</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747985.888 4324061.652)</td>\n",
+       "      <td>POINT (746962.449 4321490.615)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
+       "      <td>2020-01-29</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4072</td>\n",
+       "      <td>41826</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
@@ -210,23 +203,23 @@
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>87.0</td>\n",
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-       "      <td>4.324060e+06</td>\n",
-       "      <td>747984.190953</td>\n",
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+       "      <td>4.322983e+06</td>\n",
+       "      <td>745520.203184</td>\n",
+       "      <td>3099.639893</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747984.191 4324060.487)</td>\n",
+       "      <td>POINT (745520.203 4322983.253)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
+       "      <td>2020-02-09</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4073</td>\n",
+       "      <td>41827</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
@@ -234,23 +227,23 @@
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>90.0</td>\n",
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-       "      <td>-108.13519</td>\n",
-       "      <td>4.324058e+06</td>\n",
-       "      <td>747984.260913</td>\n",
-       "      <td>3150.1</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>39.03404</td>\n",
+       "      <td>-108.19103</td>\n",
+       "      <td>4.324309e+06</td>\n",
+       "      <td>743137.395316</td>\n",
+       "      <td>3055.590088</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747984.261 4324058.267)</td>\n",
+       "      <td>POINT (743137.395 4324309.223)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4074</td>\n",
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        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
@@ -280,206 +273,206 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>195</th>\n",
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+       "      <td>4.324472e+06</td>\n",
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        "      <td>12</td>\n",
-       "      <td>POINT (747972.708 4324012.348)</td>\n",
+       "      <td>POINT (741510.229 4324472.430)</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-28</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4265</td>\n",
+       "      <td>41919</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>196</th>\n",
+       "      <th>96</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>102.0</td>\n",
-       "      <td>39.03001</td>\n",
-       "      <td>-108.13532</td>\n",
-       "      <td>4.324012e+06</td>\n",
-       "      <td>747974.439978</td>\n",
-       "      <td>3134.3</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>39.03126</td>\n",
+       "      <td>-108.18948</td>\n",
+       "      <td>4.324005e+06</td>\n",
+       "      <td>743281.122092</td>\n",
+       "      <td>3060.439941</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747974.440 4324012.402)</td>\n",
+       "      <td>POINT (743281.122 4324004.792)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
+       "      <td>2020-02-05</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4266</td>\n",
+       "      <td>41920</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>197</th>\n",
+       "      <th>97</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>109.0</td>\n",
-       "      <td>39.03000</td>\n",
-       "      <td>-108.13529</td>\n",
-       "      <td>4.324011e+06</td>\n",
-       "      <td>747977.072289</td>\n",
-       "      <td>3133.8</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>39.01843</td>\n",
+       "      <td>-108.15596</td>\n",
+       "      <td>4.322671e+06</td>\n",
+       "      <td>746227.685533</td>\n",
+       "      <td>3103.750000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747977.072 4324011.374)</td>\n",
+       "      <td>POINT (746227.686 4322670.914)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
+       "      <td>2020-02-01</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4267</td>\n",
+       "      <td>41921</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>198</th>\n",
+       "      <th>98</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>112.0</td>\n",
-       "      <td>39.02999</td>\n",
-       "      <td>-108.13526</td>\n",
-       "      <td>4.324010e+06</td>\n",
-       "      <td>747979.704601</td>\n",
-       "      <td>3134.2</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>102.0</td>\n",
+       "      <td>39.01437</td>\n",
+       "      <td>-108.14158</td>\n",
+       "      <td>4.322259e+06</td>\n",
+       "      <td>747487.040217</td>\n",
+       "      <td>3100.860107</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747979.705 4324010.346)</td>\n",
+       "      <td>POINT (747487.040 4322259.296)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
+       "      <td>2020-01-29</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4268</td>\n",
+       "      <td>41922</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>199</th>\n",
+       "      <th>99</th>\n",
        "      <td>1</td>\n",
-       "      <td>CRREL_B</td>\n",
-       "      <td>100.0</td>\n",
-       "      <td>39.02999</td>\n",
-       "      <td>-108.13524</td>\n",
-       "      <td>4.324010e+06</td>\n",
-       "      <td>747981.436157</td>\n",
-       "      <td>3133.1</td>\n",
+       "      <td>ruler</td>\n",
+       "      <td>115.0</td>\n",
+       "      <td>39.03918</td>\n",
+       "      <td>-108.00313</td>\n",
+       "      <td>4.325399e+06</td>\n",
+       "      <td>759385.731498</td>\n",
+       "      <td>-9999.000000</td>\n",
        "      <td>12</td>\n",
-       "      <td>POINT (747981.436 4324010.400)</td>\n",
+       "      <td>POINT (759385.731 4325399.285)</td>\n",
        "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
+       "      <td>2020-02-03</td>\n",
        "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>4269</td>\n",
+       "      <td>41923</td>\n",
        "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
        "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
+       "      <td>pit ruler</td>\n",
        "      <td>depth</td>\n",
        "      <td>cm</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>200 rows × 23 columns</p>\n",
+       "<p>100 rows × 23 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "     version_number equipment  value  latitude  longitude      northing  \\\n",
-       "0                 1   CRREL_B   94.0  39.03045 -108.13515  4.324062e+06   \n",
-       "1                 1   CRREL_B   74.0  39.03045 -108.13516  4.324062e+06   \n",
-       "2                 1   CRREL_B   90.0  39.03045 -108.13517  4.324062e+06   \n",
-       "3                 1   CRREL_B   87.0  39.03044 -108.13519  4.324060e+06   \n",
-       "4                 1   CRREL_B   90.0  39.03042 -108.13519  4.324058e+06   \n",
-       "..              ...       ...    ...       ...        ...           ...   \n",
-       "195               1   CRREL_B  116.0  39.03001 -108.13534  4.324012e+06   \n",
-       "196               1   CRREL_B  102.0  39.03001 -108.13532  4.324012e+06   \n",
-       "197               1   CRREL_B  109.0  39.03000 -108.13529  4.324011e+06   \n",
-       "198               1   CRREL_B  112.0  39.02999 -108.13526  4.324010e+06   \n",
-       "199               1   CRREL_B  100.0  39.02999 -108.13524  4.324010e+06   \n",
+       "    version_number equipment  value  latitude  longitude      northing  \\\n",
+       "0                1     ruler   83.0  39.04496 -108.06311  4.325871e+06   \n",
+       "1                1     ruler  100.0  39.04563 -108.19593  4.325583e+06   \n",
+       "2                1     ruler  117.0  39.00760 -108.14791  4.321491e+06   \n",
+       "3                1     ruler   98.0  39.02144 -108.16401  4.322983e+06   \n",
+       "4                1     ruler   92.0  39.03404 -108.19103  4.324309e+06   \n",
+       "..             ...       ...    ...       ...        ...           ...   \n",
+       "95               1     ruler   92.0  39.03596 -108.20975  4.324472e+06   \n",
+       "96               1     ruler   35.0  39.03126 -108.18948  4.324005e+06   \n",
+       "97               1     ruler  101.0  39.01843 -108.15596  4.322671e+06   \n",
+       "98               1     ruler  102.0  39.01437 -108.14158  4.322259e+06   \n",
+       "99               1     ruler  115.0  39.03918 -108.00313  4.325399e+06   \n",
        "\n",
-       "           easting  elevation  utm_zone                            geom  ...  \\\n",
-       "0    747987.619062     3148.2        12  POINT (747987.619 4324061.706)  ...   \n",
-       "1    747986.753289     3148.3        12  POINT (747986.753 4324061.679)  ...   \n",
-       "2    747985.887517     3148.2        12  POINT (747985.888 4324061.652)  ...   \n",
-       "3    747984.190953     3148.6        12  POINT (747984.191 4324060.487)  ...   \n",
-       "4    747984.260913     3150.1        12  POINT (747984.261 4324058.267)  ...   \n",
-       "..             ...        ...       ...                             ...  ...   \n",
-       "195  747972.708423     3134.6        12  POINT (747972.708 4324012.348)  ...   \n",
-       "196  747974.439978     3134.3        12  POINT (747974.440 4324012.402)  ...   \n",
-       "197  747977.072289     3133.8        12  POINT (747977.072 4324011.374)  ...   \n",
-       "198  747979.704601     3134.2        12  POINT (747979.705 4324010.346)  ...   \n",
-       "199  747981.436157     3133.1        12  POINT (747981.436 4324010.400)  ...   \n",
+       "          easting    elevation  utm_zone                            geom  ...  \\\n",
+       "0   754172.639132  3253.169922        12  POINT (754172.639 4325871.377)  ...   \n",
+       "1   742673.504400  3048.699951        12  POINT (742673.504 4325582.611)  ...   \n",
+       "2   746962.448982  3087.709961        12  POINT (746962.449 4321490.615)  ...   \n",
+       "3   745520.203184  3099.639893        12  POINT (745520.203 4322983.253)  ...   \n",
+       "4   743137.395316  3055.590088        12  POINT (743137.395 4324309.223)  ...   \n",
+       "..            ...          ...       ...                             ...  ...   \n",
+       "95  741510.229315  3030.070068        12  POINT (741510.229 4324472.430)  ...   \n",
+       "96  743281.122092  3060.439941        12  POINT (743281.122 4324004.792)  ...   \n",
+       "97  746227.685533  3103.750000        12  POINT (746227.686 4322670.914)  ...   \n",
+       "98  747487.040217  3100.860107        12  POINT (747487.040 4322259.296)  ...   \n",
+       "99  759385.731498 -9999.000000        12  POINT (759385.731 4325399.285)  ...   \n",
        "\n",
-       "           date                     time_created time_updated    id  \\\n",
-       "0    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4070   \n",
-       "1    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4071   \n",
-       "2    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4072   \n",
-       "3    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4073   \n",
-       "4    2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4074   \n",
-       "..          ...                              ...          ...   ...   \n",
-       "195  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4265   \n",
-       "196  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4266   \n",
-       "197  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4267   \n",
-       "198  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4268   \n",
-       "199  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  4269   \n",
+       "          date                     time_created time_updated     id  \\\n",
+       "0   2020-03-12 2022-06-30 22:56:52.635035+00:00         None  41824   \n",
+       "1   2020-01-30 2022-06-30 22:56:52.635035+00:00         None  41825   \n",
+       "2   2020-01-29 2022-06-30 22:56:52.635035+00:00         None  41826   \n",
+       "3   2020-02-09 2022-06-30 22:56:52.635035+00:00         None  41827   \n",
+       "4   2020-01-28 2022-06-30 22:56:52.635035+00:00         None  41828   \n",
+       "..         ...                              ...          ...    ...   \n",
+       "95  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  41919   \n",
+       "96  2020-02-05 2022-06-30 22:56:52.635035+00:00         None  41920   \n",
+       "97  2020-02-01 2022-06-30 22:56:52.635035+00:00         None  41921   \n",
+       "98  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  41922   \n",
+       "99  2020-02-03 2022-06-30 22:56:52.635035+00:00         None  41923   \n",
        "\n",
-       "                                      doi date_accessed  instrument   type  \\\n",
-       "0    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "1    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "2    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "3    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "4    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "..                                    ...           ...         ...    ...   \n",
-       "195  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "196  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "197  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "198  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "199  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
+       "                                     doi date_accessed  instrument   type  \\\n",
+       "0   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "1   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "2   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "3   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "4   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "..                                   ...           ...         ...    ...   \n",
+       "95  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "96  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "97  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "98  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
+       "99  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
        "\n",
-       "    units observers  \n",
-       "0      cm      None  \n",
-       "1      cm      None  \n",
-       "2      cm      None  \n",
-       "3      cm      None  \n",
-       "4      cm      None  \n",
-       "..    ...       ...  \n",
-       "195    cm      None  \n",
-       "196    cm      None  \n",
-       "197    cm      None  \n",
-       "198    cm      None  \n",
-       "199    cm      None  \n",
+       "   units observers  \n",
+       "0     cm      None  \n",
+       "1     cm      None  \n",
+       "2     cm      None  \n",
+       "3     cm      None  \n",
+       "4     cm      None  \n",
+       "..   ...       ...  \n",
+       "95    cm      None  \n",
+       "96    cm      None  \n",
+       "97    cm      None  \n",
+       "98    cm      None  \n",
+       "99    cm      None  \n",
        "\n",
-       "[200 rows x 23 columns]"
+       "[100 rows x 23 columns]"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -489,10 +482,10 @@
     }
    ],
    "source": [
-    " import os\n",
     "from snowexsql.api import PointMeasurements\n",
-    "df = PointMeasurements.from_filter(type=\"depth\", instrument=\"magnaprobe\", limit=200)\n",
-    "df.plot()\n",
+    "\n",
+    "df = PointMeasurements.from_filter(type=\"depth\", instrument='pit ruler', limit=100)\n",
+    "df.plot(column='value', cmap='jet', vmin=10, vmax=150)\n",
     "df"
    ]
   },
diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index 99ca9a9..f4bb469 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -49,18 +49,52 @@
    "id": "07bf71eb",
    "metadata": {},
    "source": [
-    "### How are tables structured?\n"
+    "### How are tables structured?\n",
+    "Each table consists of rows and columns. Below are the available columns!\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "8fd4e693",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "These are the available columns in the table:\n",
+      " \n",
+      "* version_number\n",
+      "* equipment\n",
+      "* value\n",
+      "* latitude\n",
+      "* longitude\n",
+      "* northing\n",
+      "* easting\n",
+      "* elevation\n",
+      "* utm_zone\n",
+      "* geom\n",
+      "* time\n",
+      "* site_id\n",
+      "* site_name\n",
+      "* date\n",
+      "* time_created\n",
+      "* time_updated\n",
+      "* id\n",
+      "* doi\n",
+      "* date_accessed\n",
+      "* instrument\n",
+      "* type\n",
+      "* units\n",
+      "* observers\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "# Import the class reflecting the points table in the db\n",
-    "from snowexsql.api import LayerMeasurements as measurements\n",
+    "from snowexsql.api import PointMeasurements as measurements\n",
     "\n",
     "# Grab one measurment to see what attributes are available\n",
     "df = measurements.from_filter(type=\"depth\", limit=1)\n",
@@ -76,7 +110,8 @@
    "source": [
     "**Try this:** Using what we just did, but swap out PointMeasurements for LayerMeasurements.\n",
     "\n",
-    "Did you collect any data? What is it? What table do you think it should go in?\n",
+    "\n",
+    "**Question:** Did you collect any data? What is it? What table do you think it would go in?\n",
     "\n",
     "For more detail, checkout the readthedocs page on [database structure](https://snowexsql.readthedocs.io/en/latest/database_structure.html) to see how data gets categorized. "
    ]
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
index 5a8fc23..e6d170e 100644
--- a/book/tutorials/snowex_database/3_forming_queries.ipynb
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -14,607 +14,30 @@
     "  1. [`from_filter`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L192)\n",
     "  2. [`from_area`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L210)\n",
     "\n",
-    "## `from_filter`"
+    "## `from_filter`\n",
+    "\n",
+    "Use the from filter function to find density profiles\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>depth</th>\n",
-       "      <th>site_id</th>\n",
-       "      <th>pit_id</th>\n",
-       "      <th>bottom_depth</th>\n",
-       "      <th>comments</th>\n",
-       "      <th>sample_a</th>\n",
-       "      <th>sample_b</th>\n",
-       "      <th>sample_c</th>\n",
-       "      <th>value</th>\n",
-       "      <th>flags</th>\n",
-       "      <th>...</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>observers</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>47.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>232.0</td>\n",
-       "      <td>237.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>234.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-15 19:47:45.611639+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2325013</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>37.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>249.0</td>\n",
-       "      <td>252.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>250.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-15 19:47:45.611639+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2325014</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>27.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>286.0</td>\n",
-       "      <td>296.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>291.0</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-15 19:47:45.611639+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2325015</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>17.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>268.0</td>\n",
-       "      <td>265.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>266.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-15 19:47:45.611639+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2325016</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>47.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>37.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>234.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-15 19:47:45.803184+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2325035</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>37.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>250.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-15 19:47:45.803184+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2325036</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>27.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>291.0</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-15 19:47:45.803184+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2325037</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>17.0</td>\n",
-       "      <td>Bogus Upper</td>\n",
-       "      <td>IDBRBU_20191219_1000</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>266.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-19</td>\n",
-       "      <td>2024-08-15 19:47:45.803184+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2325038</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>21.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>228.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>228.0</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.059301+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2340994</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>243.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>243.0</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.059301+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2340995</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>21.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>228.0</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.114289+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2340996</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>11.0</td>\n",
-       "      <td>Banner Open</td>\n",
-       "      <td>IDBRBO_20191218_1424</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>243.0</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.114289+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2340997</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>37.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>173.0</td>\n",
-       "      <td>161.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>167.0</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.283128+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2341002</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>27.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>226.0</td>\n",
-       "      <td>233.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>229.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.283128+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2341003</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>17.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>248.0</td>\n",
-       "      <td>259.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>253.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.283128+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2341004</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>37.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>167.0</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.456365+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2341021</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>27.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>229.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.456365+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2341022</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>17.0</td>\n",
-       "      <td>Banner Snotel</td>\n",
-       "      <td>IDBRBS_20191218_1000</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>253.5</td>\n",
-       "      <td>AD</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2019-12-18</td>\n",
-       "      <td>2024-08-15 19:49:25.456365+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2341023</td>\n",
-       "      <td>https://doi.org/10.5067/KZ43HVLZV6G4</td>\n",
-       "      <td>2024-08-13</td>\n",
-       "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>18 rows × 29 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    depth        site_id                pit_id  bottom_depth comments  \\\n",
-       "0    47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
-       "1    37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
-       "2    27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
-       "3    17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
-       "4    47.0    Bogus Upper  IDBRBU_20191219_1000          37.0     None   \n",
-       "5    37.0    Bogus Upper  IDBRBU_20191219_1000          27.0     None   \n",
-       "6    27.0    Bogus Upper  IDBRBU_20191219_1000          17.0     None   \n",
-       "7    17.0    Bogus Upper  IDBRBU_20191219_1000           7.0     None   \n",
-       "8    21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
-       "9    11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
-       "10   21.0    Banner Open  IDBRBO_20191218_1424          11.0     None   \n",
-       "11   11.0    Banner Open  IDBRBO_20191218_1424           1.0     None   \n",
-       "12   37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
-       "13   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
-       "14   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
-       "15   37.0  Banner Snotel  IDBRBS_20191218_1000          27.0     None   \n",
-       "16   27.0  Banner Snotel  IDBRBS_20191218_1000          17.0     None   \n",
-       "17   17.0  Banner Snotel  IDBRBS_20191218_1000           7.0     None   \n",
-       "\n",
-       "   sample_a sample_b sample_c  value flags  ...        date  \\\n",
-       "0     232.0    237.0     None  234.5    AD  ...  2019-12-19   \n",
-       "1     249.0    252.0     None  250.5    AD  ...  2019-12-19   \n",
-       "2     286.0    296.0     None  291.0    AD  ...  2019-12-19   \n",
-       "3     268.0    265.0     None  266.5    AD  ...  2019-12-19   \n",
-       "4      None     None     None  234.5    AD  ...  2019-12-19   \n",
-       "5      None     None     None  250.5    AD  ...  2019-12-19   \n",
-       "6      None     None     None  291.0    AD  ...  2019-12-19   \n",
-       "7      None     None     None  266.5    AD  ...  2019-12-19   \n",
-       "8     228.0     None     None  228.0    AD  ...  2019-12-18   \n",
-       "9     243.0     None     None  243.0    AD  ...  2019-12-18   \n",
-       "10     None     None     None  228.0    AD  ...  2019-12-18   \n",
-       "11     None     None     None  243.0    AD  ...  2019-12-18   \n",
-       "12    173.0    161.0     None  167.0    AD  ...  2019-12-18   \n",
-       "13    226.0    233.0     None  229.5    AD  ...  2019-12-18   \n",
-       "14    248.0    259.0     None  253.5    AD  ...  2019-12-18   \n",
-       "15     None     None     None  167.0    AD  ...  2019-12-18   \n",
-       "16     None     None     None  229.5    AD  ...  2019-12-18   \n",
-       "17     None     None     None  253.5    AD  ...  2019-12-18   \n",
-       "\n",
-       "                       time_created  time_updated       id  \\\n",
-       "0  2024-08-15 19:47:45.611639+00:00          None  2325013   \n",
-       "1  2024-08-15 19:47:45.611639+00:00          None  2325014   \n",
-       "2  2024-08-15 19:47:45.611639+00:00          None  2325015   \n",
-       "3  2024-08-15 19:47:45.611639+00:00          None  2325016   \n",
-       "4  2024-08-15 19:47:45.803184+00:00          None  2325035   \n",
-       "5  2024-08-15 19:47:45.803184+00:00          None  2325036   \n",
-       "6  2024-08-15 19:47:45.803184+00:00          None  2325037   \n",
-       "7  2024-08-15 19:47:45.803184+00:00          None  2325038   \n",
-       "8  2024-08-15 19:49:25.059301+00:00          None  2340994   \n",
-       "9  2024-08-15 19:49:25.059301+00:00          None  2340995   \n",
-       "10 2024-08-15 19:49:25.114289+00:00          None  2340996   \n",
-       "11 2024-08-15 19:49:25.114289+00:00          None  2340997   \n",
-       "12 2024-08-15 19:49:25.283128+00:00          None  2341002   \n",
-       "13 2024-08-15 19:49:25.283128+00:00          None  2341003   \n",
-       "14 2024-08-15 19:49:25.283128+00:00          None  2341004   \n",
-       "15 2024-08-15 19:49:25.456365+00:00          None  2341021   \n",
-       "16 2024-08-15 19:49:25.456365+00:00          None  2341022   \n",
-       "17 2024-08-15 19:49:25.456365+00:00          None  2341023   \n",
-       "\n",
-       "                                     doi  date_accessed instrument     type  \\\n",
-       "0   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "1   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "2   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "3   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "4   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "5   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "6   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "7   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "8   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "9   https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "10  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "11  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "12  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "13  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "14  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "15  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "16  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "17  https://doi.org/10.5067/KZ43HVLZV6G4     2024-08-13       None  density   \n",
-       "\n",
-       "   units observers  \n",
-       "0   None      None  \n",
-       "1   None      None  \n",
-       "2   None      None  \n",
-       "3   None      None  \n",
-       "4   None      None  \n",
-       "5   None      None  \n",
-       "6   None      None  \n",
-       "7   None      None  \n",
-       "8   None      None  \n",
-       "9   None      None  \n",
-       "10  None      None  \n",
-       "11  None      None  \n",
-       "12  None      None  \n",
-       "13  None      None  \n",
-       "14  None      None  \n",
-       "15  None      None  \n",
-       "16  None      None  \n",
-       "17  None      None  \n",
-       "\n",
-       "[18 rows x 29 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                    value\n",
+      "site_id                  \n",
+      "Banner Open    235.500000\n",
+      "Banner Snotel  216.666667\n",
+      "Bogus Upper    260.625000\n"
+     ]
     },
     {
      "data": {
-      "image/png": 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9p23btjXqbFVVVQoJCVFlZaWCg4MbuxIAAG7Opyc+ngwPGzZMJSUlbteSk5PVs2dPzZgx44zPLI8fPy4fH/cvc2rupz339/dX165dVVtbq7feekv33HOPJ8cDAKBZeRTVoKAgxcTEuF0LDAxUWFiY63p6errKy8uVnZ0tSRoxYoQmTZqkzMxMJSYmqqKiQmlpaerfv78iIyMlSRs3blR5ebmuvPJKlZeX64knnlB9fb3+4z/+w8aOAABcEB5FtTEqKipUWlrq+nj8+PE6duyYXnzxRU2fPl2hoaEaOnSoZs+e7ZqpqanRzJkztXv3bnXo0EG33XabXn/9dYWGhto+HgAAPxuPXlNtyXhNFQBgw/n0hN/9CwCAJUQVAABLiCoAAJYQVQAALCGqAABYQlQBALCEqAIAYAlRBQDAEqIKAIAlRBUAAEuIKgAAlhBVAAAsIaoAAFhCVAEAsISoAgBgCVEFAMASogoAgCVEFQAAS4gqAACWEFUAACwhqgAAWEJUAQCwhKgCAGAJUQUAwBKiCgCAJUQVAABLiCoAAJYQVQAALCGqAABYQlQBALCEqAIAYAlRBQDAEqIKAIAlRBUAAEuIKgAAlhBVAAAsIaoAAFhCVAEAsISoAgBgCVEFAMASogoAgCVEFQAAS4gqAACWEFUAACw5r6hmZGTI4XAoLS2twbmcnBzFxcWpffv2ioiIUHJysg4fPuw2M2/ePF1++eUKCAhQVFSUHnzwQdXU1JzP8QAAuKCaHNXCwkItWrRIsbGxDc7l5+dr3LhxmjBhgrZt26a8vDwVFhZq4sSJrpmcnBw98sgjevzxx/XFF19o8eLFevPNN5Went7U4wEAcME1KarV1dUaM2aMsrKy1LFjxwZnN2zYoOjoaKWmpqpHjx4aPHiwJk+erE2bNrlm1q9fr0GDBul3v/udoqOjdfPNN+vee+91mwEAoKVrUlRTUlKUlJSkhISEc87Gx8dr3759WrlypYwxOnjwoJYtW6akpCTXzODBg1VUVKSCggJJ0u7du7Vy5Uq3mZ9yOp2qqqpyuwEA0Jx8PL1Dbm6uiouLVVhY2Kj5+Ph45eTkaNSoUaqpqdHJkyd1++23a8GCBa6Z0aNH6x//+IcGDx4sY4xOnjypBx54QI888shZHzcjI0OzZs3y9PgAAPxsPHqmWlZWpmnTpmnp0qXy9/dv1H22b9+u1NRUPfbYYyoqKtKqVau0Z88eTZkyxTXz8ccf6+mnn9bChQtVXFys5cuX67333tMf//jHsz5uenq6KisrXbeysjJPVgEAwDqHMcY0dnjFihUaOXKkvL29Xdfq6urkcDjk5eUlp9Pp9jlJGjt2rGpqapSXl+e6lp+fryFDhmj//v2KiIjQkCFDNHDgQD333HOumaVLl+r+++9XdXW1vLzO3f6qqiqFhISosrJSwcHBjV0JAAA359MTj779O2zYMJWUlLhdS05OVs+ePTVjxozTgipJx48fl4+P+5c5NXeq58ePHz8tnN7e3jLGyIPmAwDQrDyKalBQkGJiYtyuBQYGKiwszHU9PT1d5eXlys7OliSNGDFCkyZNUmZmphITE1VRUaG0tDT1799fkZGRrpm5c+eqb9++GjBggL766is9+uijuv32288YagAAWiKP36h0LhUVFSotLXV9PH78eB07dkwvvviipk+frtDQUA0dOlSzZ892zcycOVMOh0MzZ85UeXm5fvWrX2nEiBF6+umnbR8PAICfjUevqbZkvKYKALDhfHrC7/4FAMASogoAgCVEFQAAS4gqAACWEFUAACwhqgAAWEJUAQCwhKgCAGAJUQUAwBKiCgCAJUQVAABLiCoAAJYQVQAALCGqAABYQlQBALCEqAIAYAlRBQDAEqIKAIAlRBUAAEuIKgAAlhBVAAAsIaoAAFhCVAEAsISoAgBgCVEFAMASogoAgCVEFQAAS4gqAACWEFUAACwhqgAAWEJUAQCwhKgCAGAJUQUAwBKiCgCAJUQVAABLiCoAAJYQVQAALCGqAABYQlQBALCEqAIAYAlRBQDAEqIKAIAlRBUAAEvOK6oZGRlyOBxKS0trcC4nJ0dxcXFq3769IiIilJycrMOHD7s+f8MNN8jhcJx2S0pKOp/jAQBwQTU5qoWFhVq0aJFiY2MbnMvPz9e4ceM0YcIEbdu2TXl5eSosLNTEiRNdM8uXL1dFRYXrtnXrVnl7e+vuu+9u6vEAALjgmhTV6upqjRkzRllZWerYsWODsxs2bFB0dLRSU1PVo0cPDR48WJMnT9amTZtcM506dVJ4eLjrtmbNGrVv356oAgBalSZFNSUlRUlJSUpISDjnbHx8vPbt26eVK1fKGKODBw9q2bJlDX5rd/HixRo9erQCAwPPOuN0OlVVVeV2AwCgOXkc1dzcXBUXFysjI6NR8/Hx8crJydGoUaPk6+ur8PBwhYaGasGCBWecLygo0NatW92+PXwmGRkZCgkJcd2ioqI8XQUAAKs8impZWZmmTZumpUuXyt/fv1H32b59u1JTU/XYY4+pqKhIq1at0p49ezRlypQzzi9evFgxMTHq379/g4+bnp6uyspK162srMyTVQAAsM5hjDGNHV6xYoVGjhwpb29v17W6ujo5HA55eXnJ6XS6fU6Sxo4dq5qaGuXl5bmu5efna8iQIdq/f78iIiJc148fP66IiAg9+eSTmjZtmkeLVFVVKSQkRJWVlQoODvbovgAAnHI+PfHxZHjYsGEqKSlxu5acnKyePXtqxowZpwVV+iGUPj7uX+bU3E97/te//lVOp1P33XefJ8cCAKBF8CiqQUFBiomJcbsWGBiosLAw1/X09HSVl5crOztbkjRixAhNmjRJmZmZSkxMVEVFhdLS0tS/f39FRka6PdbixYt15513Kiws7Hx2AgCgWXgU1caoqKhQaWmp6+Px48fr2LFjevHFFzV9+nSFhoZq6NChmj17ttv9du7cqfz8fK1evdr2kQAAuCA8ek21JeM1VQCADefTE373LwAAlhBVAAAsIaoAAFhCVAEAsISoAgBgCVEFAMASogoAgCVEFQAAS4gqAACWEFUAACwhqgAAWEJUAQCwhKgCAGAJUQUAwBKiCgCAJUQVAABLiCoAAJYQVQAALCGqAABYQlQBALCEqAIAYAlRBQDAEqIKAIAlRBUAAEuIKgAAlhBVAAAsIaoAAFhCVAEAsISoAgBgCVEFAMASogoAgCVEFQAAS4gqAACWEFUAACwhqgAAWEJUAQCwhKgCAGAJUQUAwBKiCgCAJUQVAABLiCoAAJYQVQAALCGqAABYQlQBALDkvKKakZEhh8OhtLS0BudycnIUFxen9u3bKyIiQsnJyTp8+LDbzNGjR5WSkqKIiAj5+/urV69eWrly5fkcDwCAC6rJUS0sLNSiRYsUGxvb4Fx+fr7GjRunCRMmaNu2bcrLy1NhYaEmTpzomjlx4oRuuukm7d27V8uWLdOOHTuUlZWlrl27NvV4AABccD5NuVN1dbXGjBmjrKwsPfXUUw3ObtiwQdHR0UpNTZUk9ejRQ5MnT9af/vQn18ySJUv03Xffad26dWrXrp0kqXv37k05GgAAzaZJz1RTUlKUlJSkhISEc87Gx8dr3759WrlypYwxOnjwoJYtW6akpCTXzDvvvKNrr71WKSkp6tKli2JiYvTMM8+orq7urI/rdDpVVVXldgMAoDl5HNXc3FwVFxcrIyOjUfPx8fHKycnRqFGj5Ovrq/DwcIWGhmrBggWumd27d2vZsmWqq6vTypUrNXPmTM2ZM0dPP/30WR83IyNDISEhrltUVJSnqwAAYJVHUS0rK9O0adO0dOlS+fv7N+o+27dvV2pqqh577DEVFRVp1apV2rNnj6ZMmeKaqa+v10UXXaRFixapX79+Gj16tP7zP/9TmZmZZ33c9PR0VVZWum5lZWWerAIAgHUOY4xp7PCKFSs0cuRIeXt7u67V1dXJ4XDIy8tLTqfT7XOSNHbsWNXU1CgvL891LT8/X0OGDNH+/fsVERGh66+/Xu3atdPatWtdMx988IFuu+02OZ1O+fr6nvNsVVVVCgkJUWVlpYKDgxu7EgAAbs6nJx69UWnYsGEqKSlxu5acnKyePXtqxowZpwVVko4fPy4fH/cvc2ruVM8HDRqk//7v/1Z9fb28vH548rxz505FREQ0KqgAALQEHn37NygoSDExMW63wMBAhYWFKSYmRtIP35YdN26c6z4jRozQ8uXLlZmZqd27d+uzzz5Tamqq+vfvr8jISEnSAw88oMOHD2vatGnauXOn3n//fT3zzDNKSUmxuCoAAD+vJv1ITUMqKipUWlrq+nj8+PE6duyYXnzxRU2fPl2hoaEaOnSoZs+e7ZqJiorS6tWr9eCDDyo2NlZdu3bVtGnTNGPGDNvHAwDgZ+PRa6otGa+pAgBsOJ+e8Lt/AQCwhKgCAGAJUQUAwBKiCgCAJUQVAABLiCoAAJYQVQAALCGqAABYQlQBALCEqAIAYAlRBQDAEqIKAIAlRBUAAEuIKgAAlhBVAAAsIaoAAFhCVAEAsISoAgBgCVEFAMASogoAgCVEFQAAS4gqAACWEFUAACwhqgAAWEJUAQCwhKgCAGAJUQUAwBKiCgCAJUQVAABLiCoAAJYQVQAALCGqAABYQlQBALCEqAIAYAlRBQDAEqIKAIAlRBUAAEuIKgAAlhBVAAAsIaoAAFhCVAEAsISoAgBgCVEFAMCS84pqRkaGHA6H0tLSGpzLyclRXFyc2rdvr4iICCUnJ+vw4cOuz7/66qtyOByn3Wpqas7neAAAXFBNjmphYaEWLVqk2NjYBufy8/M1btw4TZgwQdu2bVNeXp4KCws1ceJEt7ng4GBVVFS43fz9/Zt6PAAALrgmRbW6ulpjxoxRVlaWOnbs2ODshg0bFB0drdTUVPXo0UODBw/W5MmTtWnTJrc5h8Oh8PBwtxsAAK1Jk6KakpKipKQkJSQknHM2Pj5e+/bt08qVK2WM0cGDB7Vs2TIlJSW5zVVXV6t79+7q1q2bhg8frs2bNzf4uE6nU1VVVW43AACak8dRzc3NVXFxsTIyMho1Hx8fr5ycHI0aNUq+vr4KDw9XaGioFixY4Jrp2bOnXn31Vb3zzjt644035O/vr0GDBmnXrl1nfdyMjAyFhIS4blFRUZ6uAgCAVQ5jjGnscFlZma6++mqtXr1acXFxkqQbbrhBV155pebNm3fG+2zfvl0JCQl68MEHlZiYqIqKCj388MO65pprtHjx4jPep76+XldddZWuu+46zZ8//4wzTqdTTqfT9XFVVZWioqJUWVmp4ODgxq4EAICbqqoqhYSENKknHkV1xYoVGjlypLy9vV3X6urq5HA45OXlJafT6fY5SRo7dqxqamqUl5fnupafn68hQ4Zo//79ioiIOOPXmjRpkvbt26cPPvigUWc7n78JAACccj498fFkeNiwYSopKXG7lpycrJ49e2rGjBmnBVWSjh8/Lh8f9y9zau5sPTfGaMuWLerTp48nxwMAoFl5FNWgoCDFxMS4XQsMDFRYWJjrenp6usrLy5WdnS1JGjFihCZNmqTMzEzXt3/T0tLUv39/RUZGSpJmzZqlgQMH6rLLLlNVVZXmz5+vLVu26KWXXrKxIwAAF4RHUW2MiooKlZaWuj4eP368jh07phdffFHTp09XaGiohg4dqtmzZ7tmjh49qvvvv18HDhxQSEiI+vbtq08//VT9+/e3fTwAAH42Hr2m2pLxmioAwIbz6Qm/+xcAAEuIKgAAlhBVAAAsIaoAAFhCVAEAsISoAgBgCVEFAMASogoAgCVEFQAAS4gqAACWEFUAACwhqgAAWGL9T6lpzQ4crdHwBZ+qquakgv199N7vr1N4qH9zHwsA0EoQ1f/T69EP9H1tvevjb/9Zq4HP/n8KaOelL/54azOeDADQWvDtX50e1B/7vrZevR794AKfCADQGv3io3rgaM1Zg3rK97X1OnC05gKdCADQWv3iozp8wadW5wAAv1y/+KhW1Zy0OgcA+OX6xUc12L9x79Vq7BwA4JfrFx/V935/ndU5AMAv1y8+quGh/gpo1/DfhoB2Xvy8KgDgnH7xUZWkL/5461nDys+pAgAaixcK/88Xf7yV36gEADgvRPVHwkP9tenRm5v7GACAVopv/wIAYAlRBQDAEqIKAIAlRBUAAEuIKgAAlhBVAAAsIaoAAFhCVAEAsISoAgBgSZv5jUrGGElSVVVVM58EANCanerIqa54os1E9dixY5KkqKioZj4JAKAtOHbsmEJCQjy6j8M0JcUtUH19vXbs2KHevXurrKxMwcHBzX0ka6qqqhQVFcVerUhb3a2t7iW13d3a6l7Sz7ebMUbHjh1TZGSkvLw8e5W0zTxT9fLyUteuXSVJwcHBbe5/PBJ7tUZtdbe2upfUdndrq3tJP89unj5DPYU3KgEAYAlRBQDAkjYVVT8/Pz3++OPy8/Nr7qNYxV6tT1vdra3uJbXd3drqXlLL3K3NvFEJAIDm1qaeqQIA0JyIKgAAlhBVAAAsIaoAAFhywaL6xBNPyOFwuN3Cw8Ndn//p507dnnvuOdeM0+nU73//e3Xu3FmBgYG6/fbbtW/fPrevc+TIEY0dO1YhISEKCQnR2LFjdfToUbeZ0tJSjRgxQoGBgercubNSU1N14sQJt5mSkhJdf/31CggIUNeuXfXkk0+e8fdAnmuv6upqTZ06Vd26dVNAQIB69eqlzMxMt8doiXs1ZreDBw9q/PjxioyMVPv27XXLLbdo165drWK38vJy3XfffQoLC1P79u115ZVXqqioyPV5Y4yeeOIJRUZGKiAgQDfccIO2bdvWJnZbvny5EhMT1blzZzkcDm3ZsuW0x2iJuzW0V21trWbMmKE+ffooMDBQkZGRGjdunPbv39+q95J++PewZ8+eCgwMVMeOHZWQkKCNGze2+L0as9uPTZ48WQ6HQ/PmzWsVu52VuUAef/xxc8UVV5iKigrX7dChQ67P//h6RUWFWbJkiXE4HObrr792zUyZMsV07drVrFmzxhQXF5sbb7zRxMXFmZMnT7pmbrnlFhMTE2PWrVtn1q1bZ2JiYszw4cNdnz958qSJiYkxN954oykuLjZr1qwxkZGRZurUqa6ZyspK06VLFzN69GhTUlJi3nrrLRMUFGSef/55j/eaOHGiufTSS81HH31k9uzZY15++WXj7e1tVqxY0aL3Otdu9fX1ZuDAgWbIkCGmoKDAfPnll+b+++83F198samurm7Ru3333Xeme/fuZvz48Wbjxo1mz549Zu3atearr75yzTz77LMmKCjIvPXWW6akpMSMGjXKREREmKqqqla/W3Z2tpk1a5bJysoykszmzZtPe5yWttu59jp69KhJSEgwb775pvnyyy/N+vXrzYABA0y/fv1a9V7GGJOTk2PWrFljvv76a7N161YzYcIEExwc7Pb/My1tr8budsrbb79t4uLiTGRkpPnzn//cov+ZncsFjWpcXFyj5++44w4zdOhQ18dHjx417dq1M7m5ua5r5eXlxsvLy6xatcoYY8z27duNJLNhwwbXzPr1640k8+WXXxpjjFm5cqXx8vIy5eXlrpk33njD+Pn5mcrKSmOMMQsXLjQhISGmpqbGNZORkWEiIyNNfX29R3tdccUV5sknn3S7dtVVV5mZM2e26L3OtduOHTuMJLN161bXtZMnT5pOnTqZrKysFr3bjBkzzODBg8+4lzE//AdDeHi4efbZZ13XampqTEhIiPmv//qvVr3bj+3Zs+eMUW2Ju3my1ykFBQVGkvnmm2/a1F6VlZVGklm7dm2L3cuT3fbt22e6du1qtm7darp37+4W1Za6W0Mu6Guqu3btUmRkpHr06KHRo0dr9+7dZ5w7ePCg3n//fU2YMMF1raioSLW1tbr55ptd1yIjIxUTE6N169ZJktavX6+QkBANGDDANTNw4ECFhIS4zcTExCgyMtI1k5iYKKfT6fq2xPr163X99de7/UBxYmKi9u/fr71793q01+DBg/XOO++ovLxcxhh99NFH2rlzpxITE1v8Xg3t5nQ6JUn+/v6uWW9vb/n6+io/P79F7/bOO+/o6quv1t13362LLrpIffv2VVZWluvze/bs0YEDB9zO7efnp+uvv951pta6W2O0xN2asldlZaUcDodCQ0PbzF4nTpzQokWLFBISori4uBa7V2N3q6+v19ixY/Xwww/riiuuOG3flrpbQy5YVAcMGKDs7Gx9+OGHysrK0oEDBxQfH6/Dhw+fNvvaa68pKChId911l+vagQMH5Ovrq44dO7rNdunSRQcOHHDNXHTRRac93kUXXeQ206VLF7fPd+zYUb6+vg3OnPr41Exj95o/f7569+6tbt26ydfXV7fccosWLlyowYMHt+i9zrVbz5491b17d6Wnp+vIkSM6ceKEnn32WR04cEAVFRUterfdu3crMzNTl112mT788ENNmTJFqampys7Odps/0+P9+Ou1xt0aoyXu5uleNTU1euSRR/S73/3O9YvWW/Ne7733njp06CB/f3/9+c9/1po1a9S5c+cWu1djd5s9e7Z8fHyUmpp62tla8m4NuWB/Ss2tt97q+us+ffro2muv1aWXXqrXXntNDz30kNvskiVLNGbMGLdnQWdjjJHD4XB9/OO/tjlj/u/F6p9eP9de8+fP14YNG/TOO++oe/fu+vTTT/Vv//ZvioiIUEJCQovdqzG7vfXWW5owYYI6deokb29vJSQkuN2npe5WX1+vq6++Ws8884wkqW/fvtq2bZsyMzM1bty4Bh/vTOdojbs1RXPu5sletbW1Gj16tOrr67Vw4cI2sdeNN96oLVu26Ntvv1VWVpbuuecebdy48YwxaQl7NWa3oqIivfDCCyouLj7nv1ctbbeGNNuP1AQGBqpPnz6nvVv073//u3bs2KGJEye6XQ8PD9eJEyd05MgRt+uHDh1y/ddEeHi4Dh48eNrX+sc//uE289P/6jhy5Ihqa2sbnDl06JCk05+9NLTX999/rz/84Q+aO3euRowYodjYWE2dOlWjRo3S888/36r2+uluktSvXz9t2bJFR48eVUVFhVatWqXDhw+rR48eLXq3iIgI9e7d2+1ar169VFpa6nos6fT/Ov3puVvjbo3REndr7F61tbW65557tGfPHq1Zs8btjwNrzXsFBgbq17/+tQYOHKjFixfLx8dHixcvbrF7NWa3v//97zp06JAuvvhi+fj4yMfHR998842mT5+u6OjoFr1bQ5otqk6nU1988YUiIiLcri9evFj9+vVzvV5wSr9+/dSuXTutWbPGda2iokJbt25VfHy8JOnaa69VZWWlCgoKXDMbN25UZWWl28zWrVtd36KUpNWrV8vPz0/9+vVzzXz66adub7devXq1IiMjXf+wG7NXbW2tamtrT/tDbr29vVVfX9+q9vrpbj8WEhKiX/3qV9q1a5c2bdqkO+64o0XvNmjQIO3YscPt2s6dO9W9e3dJUo8ePRQeHu527hMnTuiTTz5xnam17tYYLXG3xux1Kqi7du3S2rVrFRYW1ib2OhNjjOt9DS1xr8bsNnbsWH3++efasmWL6xYZGamHH35YH374YYverUGNfkvTeZo+fbr5+OOPze7du82GDRvM8OHDTVBQkNm7d69rprKy0rRv395kZmae8TGmTJliunXrZtauXWuKi4vN0KFDz/jW6tjYWLN+/Xqzfv1606dPnzO+tXrYsGGmuLjYrF271nTr1s3trdVHjx41Xbp0Mffee68pKSkxy5cvN8HBwWd8a/W59rr++uvNFVdcYT766COze/du88orrxh/f3+zcOHCFr1XY3b761//aj766CPz9ddfmxUrVpju3bubu+66q8X/MysoKDA+Pj7m6aefNrt27TI5OTmmffv2ZunSpa6ZZ5991oSEhJjly5ebkpISc++9957xR2pa426HDx82mzdvNu+//76RZHJzc83mzZtNRUVFi93tXHvV1taa22+/3XTr1s1s2bLF7cfAnE5nq92rurrapKenm/Xr15u9e/eaoqIiM2HCBOPn5+f2zvuWtldjdjuTn777t6Xu1pALFtVTP+fXrl07ExkZae666y6zbds2t5mXX37ZBAQEmKNHj57xMb7//nszdepU06lTJxMQEGCGDx9uSktL3WYOHz5sxowZY4KCgkxQUJAZM2aMOXLkiNvMN998Y5KSkkxAQIDp1KmTmTp1qtvbqI0x5vPPPzdDhgwxfn5+Jjw83DzxxBNnfFv1ufaqqKgw48ePN5GRkcbf399cfvnlZs6cOW6P1RL3asxuL7zwgunWrZtp166dufjii83MmTPd/g+sJe/27rvvmpiYGOPn52d69uxpFi1a5Pb5+vp68/jjj5vw8HDj5+dnrrvuOlNSUtImdnvllVeMpNNujz/+eIveraG9Tv140JluH330Uavd6/vvvzcjR440kZGRxtfX10RERJjbb7/dFBQUuD1GS9zrXLudyZmi2lJ3Oxv+6DcAACzhd/8CAGAJUQUAwBKiCgCAJUQVAABLiCoAAJYQVQAALCGqAABYQlQBALCEqAIAYAlRBQDAEqIKAIAlRBUAAEv+f9FZK/o7o/oJAAAAAElFTkSuQmCC",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -625,7 +48,7 @@
    ],
    "source": [
     "# Import in our two classes to access the db\n",
-    "from snowexsql.api import LayerMeasurements, PointMeasurements\n",
+    "from snowexsql.api import LayerMeasurements\n",
     "from datetime import datetime \n",
     "\n",
     "# Find some density pit measurements at the Boise site in december 2019.\n",
@@ -636,11 +59,15 @@
     "    date_greater_equal=datetime(2019, 12, 1),\n",
     ")\n",
     "\n",
-    "# Plot it up!\n",
+    "# Plot Example!\n",
     "df.plot()\n",
     "\n",
     "# Show off the dataframe\n",
-    "df"
+    "df\n",
+    "\n",
+    "# Analysis Example - Find the bulk density \n",
+    "df['value'] = df['value'].astype(float)\n",
+    "print(df[['site_id', 'value']].groupby(by='site_id').mean())"
    ]
   },
   {
@@ -1068,6 +495,8 @@
     "# plot it up\n",
     "df.plot()\n",
     "\n",
+    "# TODO: plot the point \n",
+    "\n",
     "# show off the dataframe\n",
     "df"
    ]
@@ -1139,7 +568,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -1160,7 +589,7 @@
        " datetime.date(2020, 1, 29)]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1239,7 +668,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -1301,9 +730,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12524</td>\n",
+       "      <td>2407735</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1325,9 +754,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12525</td>\n",
+       "      <td>2407736</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1349,9 +778,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12526</td>\n",
+       "      <td>2407737</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1373,9 +802,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12527</td>\n",
+       "      <td>2407738</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1397,9 +826,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.759127+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12528</td>\n",
+       "      <td>2407739</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1445,9 +874,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12619</td>\n",
+       "      <td>2407830</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1469,9 +898,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12620</td>\n",
+       "      <td>2407831</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1493,9 +922,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12621</td>\n",
+       "      <td>2407832</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1517,9 +946,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12622</td>\n",
+       "      <td>2407833</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1541,9 +970,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2022-06-30 22:37:00.946617+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>12623</td>\n",
+       "      <td>2407834</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -1571,48 +1000,48 @@
        "99   52.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
        "\n",
        "   sample_c  value flags  ...        date                     time_created  \\\n",
-       "0      None  45.02  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
-       "1      None  39.82  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
-       "2      None  37.85  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
-       "3      None  35.11  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
-       "4      None  34.86  None  ...  2020-02-12 2022-06-30 22:37:00.759127+00:00   \n",
+       "0      None  45.02  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
+       "1      None  39.82  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
+       "2      None  37.85  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
+       "3      None  35.11  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
+       "4      None  34.86  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
        "..      ...    ...   ...  ...         ...                              ...   \n",
-       "95     None   40.5  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
-       "96     None   22.6  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
-       "97     None   26.6  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
-       "98     None   24.3  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
-       "99     None   26.0  None  ...  2020-02-12 2022-06-30 22:37:00.946617+00:00   \n",
+       "95     None   40.5  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
+       "96     None   22.6  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
+       "97     None   26.6  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
+       "98     None   24.3  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
+       "99     None   26.0  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
        "\n",
-       "    time_updated     id                                   doi  date_accessed  \\\n",
-       "0           None  12524  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "1           None  12525  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "2           None  12526  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "3           None  12527  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "4           None  12528  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "..           ...    ...                                   ...            ...   \n",
-       "95          None  12619  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "96          None  12620  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "97          None  12621  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "98          None  12622  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "99          None  12623  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
+       "    time_updated       id                                   doi  \\\n",
+       "0           None  2407735  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "1           None  2407736  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "2           None  2407737  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "3           None  2407738  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "4           None  2407739  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "..           ...      ...                                   ...   \n",
+       "95          None  2407830  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "96          None  2407831  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "97          None  2407832  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "98          None  2407833  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "99          None  2407834  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
        "\n",
-       "       instrument                   type units  observers  \n",
-       "0   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "1   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "2   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "3   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "4   IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "..            ...                    ...   ...        ...  \n",
-       "95  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
-       "96  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
-       "97  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
-       "98  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
-       "99  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "    date_accessed     instrument                   type units  observers  \n",
+       "0      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "1      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "2      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "3      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "4      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
+       "..            ...            ...                    ...   ...        ...  \n",
+       "95     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "96     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "97     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "98     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
+       "99     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
        "\n",
        "[100 rows x 29 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1644,7 +1073,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -2030,7 +1459,7 @@
        "[100 rows x 23 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 1,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/book/tutorials/snowex_database/4_get_spiral_example.ipynb b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
index caf8821..45d9140 100644
--- a/book/tutorials/snowex_database/4_get_spiral_example.ipynb
+++ b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
@@ -26,11 +26,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
-    "from snowexsql.api import PointMeasurements, LayerMeasurements\n",
+    "from snowexsql.api import LayerMeasurements\n",
     "data_type = 'depth'"
    ]
   },
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -96,22 +96,22 @@
        "      <td>67.0</td>\n",
        "      <td>1N1</td>\n",
        "      <td>COGM1N1_20200208</td>\n",
-       "      <td>57.0</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
-       "      <td>215.0</td>\n",
+       "      <td>None</td>\n",
+       "      <td>-7.5</td>\n",
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-08</td>\n",
-       "      <td>2024-08-13 17:45:49.052106+00:00</td>\n",
+       "      <td>2024-08-15 19:56:43.640672+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2149762</td>\n",
+       "      <td>2367521</td>\n",
        "      <td>https://doi.org/10.5067/DUD2VZEVBJ7S</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>None</td>\n",
-       "      <td>density</td>\n",
+       "      <td>temperature</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "    </tr>\n",
@@ -121,22 +121,22 @@
        "</div>"
       ],
       "text/plain": [
-       "   depth site_id            pit_id  bottom_depth comments sample_a sample_b  \\\n",
-       "0   67.0     1N1  COGM1N1_20200208          57.0     None     None     None   \n",
+       "   depth site_id            pit_id bottom_depth comments sample_a sample_b  \\\n",
+       "0   67.0     1N1  COGM1N1_20200208         None     None     None     None   \n",
        "\n",
-       "  sample_c  value flags  ...        date                     time_created  \\\n",
-       "0     None  215.0  None  ...  2020-02-08 2024-08-13 17:45:49.052106+00:00   \n",
+       "  sample_c value flags  ...        date                     time_created  \\\n",
+       "0     None  -7.5  None  ...  2020-02-08 2024-08-15 19:56:43.640672+00:00   \n",
        "\n",
        "   time_updated       id                                   doi  date_accessed  \\\n",
-       "0          None  2149762  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
+       "0          None  2367521  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
        "\n",
-       "  instrument     type units observers  \n",
-       "0       None  density  None      None  \n",
+       "  instrument         type units observers  \n",
+       "0       None  temperature  None      None  \n",
        "\n",
        "[1 rows x 29 columns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -146,10 +146,10 @@
     "site_id = LayerMeasurements().all_site_ids[0]\n",
     "\n",
     "# Query the database, we only need one point to get a site id and its geometry\n",
-    "site = LayerMeasurements.from_filter(site_id=site_id, limit=1)\n",
+    "site_df = LayerMeasurements.from_filter(site_id=site_id, limit=1)\n",
     "\n",
     "# Print it out \n",
-    "site"
+    "site_df"
    ]
   },
   {
@@ -161,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -547,7 +547,7 @@
        "[392 rows x 23 columns]"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -557,7 +557,7 @@
     "from snowexsql.api import PointMeasurements \n",
     "\n",
     "# Filter the results to within 100m within the point from our pit\n",
-    "df = PointMeasurements.from_area(pt=site.geometry[0], type=data_type, buffer=200)\n",
+    "df = PointMeasurements.from_area(pt=site_df.geometry[0], type=data_type, buffer=200)\n",
     "df"
    ]
   },
@@ -570,7 +570,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 7,
    "metadata": {
     "tags": [
      "nbsphinx-gallery",
@@ -584,13 +584,13 @@
        "Text(128.66274298237227, 0.5, 'Northing [m]')"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -602,7 +602,8 @@
    "source": [
     "# Get the Matplotlib Axes object from the dataframe object, color the points by snow depth value\n",
     "ax = df.plot(column='value', legend=True, cmap='PuBu')\n",
-    "site.plot(ax=ax, marker='^', color='m')\n",
+    "site_df.plot(ax=ax, marker='^', color='m')\n",
+    "\n",
     "# Use non-scientific notation for x and y ticks\n",
     "ax.ticklabel_format(style='plain', useOffset=False)\n",
     "\n",
@@ -617,7 +618,9 @@
    "metadata": {},
    "source": [
     "**Try This:**\n",
+    "\n",
     "A. Go back and add a filter to reduce to just one spiral. What would you change to reduce this?\n",
+    "\n",
     "B. Try to filtering to add more spirals. What happens?\n",
     "\n",
     "\n",
diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
index ffbe525..e55fbda 100644
--- a/book/tutorials/snowex_database/5_plot_raster_example.ipynb
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -199,9 +199,11 @@
     "\n",
     "# Grab available dates\n",
     "dates = RasterMeasurements.from_unique_entries([\"date\"], observers='ASO Inc.', type='depth')\n",
+    "dt = dates[0]\n",
     "\n",
     "# Subset a raster on our buffered point!\n",
-    "ds = RasterMeasurements.from_area(pt=df_site.geometry[0], buffer=100, observers='ASO Inc.', type='depth', date=dates[0])\n",
+    "ds = RasterMeasurements.from_area(pt=df_site.geometry[0], buffer=100, observers='ASO Inc.', type='depth', \n",
+    "                                  date=dt)\n",
     "\n",
     "# Plot it up!\n",
     "show(ds, vmin=0, vmax=1, cmap='winter')\n",

From 72bb8866f1a76fe253abfa289ea89be7ddd7487b Mon Sep 17 00:00:00 2001
From: micah johnson <micah.johnson150@gmail.com>
Date: Fri, 16 Aug 2024 10:48:52 -0600
Subject: [PATCH 17/21] Added snowexsql 0.5.0 to environment

---
 conda/environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/conda/environment.yml b/conda/environment.yml
index 7ea0fac..ff006f7 100644
--- a/conda/environment.yml
+++ b/conda/environment.yml
@@ -143,7 +143,7 @@ dependencies:
   - itslive~=0.3.2
   - is2view~=0.0.8
   - sliderule~=4.5
-  - snowexsql~=0.4
+  - snowexsql~=0.5
 
   # Desktop tools whose versions are more recent on conda-forge than ubuntu
   #- qgis~=3.38.0

From 1ad296a2594a274d8b5265b9397c8d062f70c423 Mon Sep 17 00:00:00 2001
From: Micah Johnson <micah.johnson150@gmail.com>
Date: Fri, 16 Aug 2024 17:45:19 +0000
Subject: [PATCH 18/21] Fixed qc issues in mine and the cond environment file

---
 book/tutorials/snowex_database/2_database_structure.ipynb | 4 ++--
 conda/environment.yml                                     | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index f4bb469..3ceff6b 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -29,7 +29,7 @@
     "\n",
     "```\n",
     "\n",
-    "The 4th table is a table detailing the site informations. Lots and lots of metadata for which the API has not been written yet.\n",
+    "The 4th table is a table detailing the site information. Lots and lots of metadata for which the API has not been written yet.\n",
     "\n",
     "So how does this look in python?"
    ]
@@ -96,7 +96,7 @@
     "# Import the class reflecting the points table in the db\n",
     "from snowexsql.api import PointMeasurements as measurements\n",
     "\n",
-    "# Grab one measurment to see what attributes are available\n",
+    "# Grab one measurement to see what attributes are available\n",
     "df = measurements.from_filter(type=\"depth\", limit=1)\n",
     "\n",
     "# Print out the results nicely\n",
diff --git a/conda/environment.yml b/conda/environment.yml
index ff006f7..602c569 100644
--- a/conda/environment.yml
+++ b/conda/environment.yml
@@ -50,8 +50,8 @@ dependencies:
   # - jupyterlab-git~=0.50.0
   # - jupyterlab-h5web~=11.1.0
   - jupyterlab-myst~=2.4.2
-#  - jupyterlab-plotly~=5.18.0 # Outdated accoring to jupyterlab
-  # - jupyterlab_pygments~=0.3.0 # To bring extension uptodate
+#  - jupyterlab-plotly~=5.18.0 # Outdated according to jupyterlab
+  # - jupyterlab_pygments~=0.3.0 # To bring extension up-to-date
   - jupytext~=1.16.1
   - nbdime~=4.0.1
   # JupyterBook Addons

From c9ad390f5f0240593ced07493f7e5f821483869d Mon Sep 17 00:00:00 2001
From: Micah Johnson <micah.johnson150@gmail.com>
Date: Fri, 16 Aug 2024 18:04:44 +0000
Subject: [PATCH 19/21] Fixed unordered headers. Removed example that errors
 out on purpose.

---
 .../2_database_structure.ipynb                |   4 +-
 .../snowex_database/3_forming_queries.ipynb   | 541 +++++++++++++++---
 .../5_plot_raster_example.ipynb               |  81 ++-
 .../tutorials/snowex_database/6_wrap_up.ipynb |   2 +-
 4 files changed, 497 insertions(+), 131 deletions(-)

diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index 3ceff6b..1b47184 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -16,7 +16,7 @@
    "id": "a9f0a9c7",
    "metadata": {},
    "source": [
-    "### Where do datasets live (i.e. tables)?\n",
+    "## Where do datasets live (i.e. tables)?\n",
     "\n",
     "Data in the database lives in 1 of 4 places. \n",
     "\n",
@@ -49,7 +49,7 @@
    "id": "07bf71eb",
    "metadata": {},
    "source": [
-    "### How are tables structured?\n",
+    "## How are tables structured?\n",
     "Each table consists of rows and columns. Below are the available columns!\n"
    ]
   },
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
index e6d170e..b378de5 100644
--- a/book/tutorials/snowex_database/3_forming_queries.ipynb
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -14,14 +14,14 @@
     "  1. [`from_filter`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L192)\n",
     "  2. [`from_area`](https://github.com/SnowEx/snowexsql/blob/830fa76de8cf13c5101e1b4b663c1b399f81d7e6/snowexsql/api.py#L210)\n",
     "\n",
-    "## `from_filter`\n",
+    "## Useful Function - `from_filter`\n",
     "\n",
     "Use the from filter function to find density profiles\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -74,12 +74,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## `from_area`"
+    "## Useful Function - `from_area`\n",
+    "Find specific surface area within a certain distance of a pit."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -141,9 +142,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2346713</td>\n",
+       "      <td>2407961</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -165,9 +166,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2346714</td>\n",
+       "      <td>2407962</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -189,9 +190,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2346715</td>\n",
+       "      <td>2407963</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -213,9 +214,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2346716</td>\n",
+       "      <td>2407964</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -237,9 +238,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 19:52:45.154374+00:00</td>\n",
+       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2346717</td>\n",
+       "      <td>2407965</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -285,9 +286,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
+       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2349018</td>\n",
+       "      <td>2410266</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -309,9 +310,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
+       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2349019</td>\n",
+       "      <td>2410267</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -333,9 +334,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
+       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2349020</td>\n",
+       "      <td>2410268</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -357,9 +358,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
+       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2349021</td>\n",
+       "      <td>2410269</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -381,9 +382,9 @@
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 19:52:49.654026+00:00</td>\n",
+       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2349022</td>\n",
+       "      <td>2410270</td>\n",
        "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
        "      <td>IS3-SP-11-01F</td>\n",
@@ -411,30 +412,30 @@
        "159    8.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
        "\n",
        "    sample_c value flags  ...        date                     time_created  \\\n",
-       "0       None  45.6  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
-       "1       None  38.2  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
-       "2       None  24.5  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
-       "3       None  23.5  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
-       "4       None  22.4  None  ...  2020-02-12 2024-08-15 19:52:45.154374+00:00   \n",
+       "0       None  45.6  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
+       "1       None  38.2  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
+       "2       None  24.5  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
+       "3       None  23.5  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
+       "4       None  22.4  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
        "..       ...   ...   ...  ...         ...                              ...   \n",
-       "155     None  13.1  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
-       "156     None  10.1  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
-       "157     None  10.6  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
-       "158     None  10.5  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
-       "159     None  13.2  None  ...  2020-01-31 2024-08-15 19:52:49.654026+00:00   \n",
+       "155     None  13.1  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
+       "156     None  10.1  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
+       "157     None  10.6  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
+       "158     None  10.5  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
+       "159     None  13.2  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
        "\n",
        "     time_updated       id                                   doi  \\\n",
-       "0            None  2346713  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "1            None  2346714  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "2            None  2346715  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "3            None  2346716  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "4            None  2346717  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "0            None  2407961  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "1            None  2407962  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "2            None  2407963  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "3            None  2407964  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "4            None  2407965  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
        "..            ...      ...                                   ...   \n",
-       "155          None  2349018  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "156          None  2349019  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "157          None  2349020  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "158          None  2349021  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "159          None  2349022  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "155          None  2410266  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "156          None  2410267  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "157          None  2410268  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "158          None  2410269  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
+       "159          None  2410270  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
        "\n",
        "     date_accessed     instrument                   type units  \\\n",
        "0       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
@@ -465,13 +466,13 @@
        "[160 rows x 29 columns]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -484,18 +485,22 @@
     "# Import our api class\n",
     "from snowexsql.api import LayerMeasurements\n",
     "from datetime import datetime\n",
+    "import geopandas as gpd \n",
     "\n",
     "# import some gis functionality \n",
     "from shapely.geometry import Point \n",
     "\n",
     "# Find some SSA measurements within a distance of a known point\n",
-    "df = LayerMeasurements.from_area(pt=Point(740820.624625,4.327326e+06), crs=26912, buffer=500,\n",
+    "pnt = Point(740820.624625,4.327326e+06)\n",
+    "df = LayerMeasurements.from_area(pt=pnt, crs=26912, buffer=500,\n",
     "    type='specific_surface_area')\n",
     "\n",
-    "# plot it up\n",
-    "df.plot()\n",
+    "# plot up the results\n",
+    "ax = df.plot()\n",
     "\n",
-    "# TODO: plot the point \n",
+    "# plot the site so we can see how close everything is.\n",
+    "site = gpd.GeoDataFrame(geometry=[pnt], crs=26912)\n",
+    "site.plot(ax=ax, marker='^', color='magenta')\n",
     "\n",
     "# show off the dataframe\n",
     "df"
@@ -505,7 +510,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### How do I know what to filter on?\n",
+    "## How do I know what to filter on?\n",
     "We got tools for that! Each class has a host of functions that start with `all_*` these function return the unique value in that column. \n",
     "\n",
     " * `all_types` - all the data types e.g. depth, swe, density...\n",
@@ -516,7 +521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -525,11 +530,11 @@
      "text": [
       "Available types = two_way_travel, snow_void, density, swe, depth\n",
       "\n",
-      "Available Instruments = Mala 1600 MHz GPR, None, Mala 800 MHz GPR, pulse EKKO Pro multi-polarization 1 GHz GPR, pit ruler, mesa, magnaprobe, camera\n",
+      "Available Instruments = None, Mala 1600 MHz GPR, Mala 800 MHz GPR, pulse EKKO Pro multi-polarization 1 GHz GPR, pit ruler, mesa, magnaprobe, camera\n",
       "\n",
-      "Available Dates = 2020-05-28, 2020-01-09, 2021-03-19, 2020-05-23, 2020-01-04, 2019-11-29, 2019-10-20, 2019-11-30, 2021-01-28, 2020-04-17, 2021-02-19, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2021-03-18, 2020-04-01, 2020-05-14, 2019-10-29, 2019-10-14, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-29, 2020-04-26, 2019-10-12, 2021-03-03, 2021-01-15, 2020-02-23, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2023-03-13, 2020-02-12, 2020-05-06, 2019-11-19, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2021-03-21, 2021-04-21, 2023-03-15, 2020-11-25, 2019-12-27, 2021-01-27, 2019-10-01, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2021-01-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2021-03-05, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2021-03-04, 2021-03-24, 2021-03-16, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2020-03-07, 2019-10-31, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2021-02-09, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2021-02-17, 2021-01-07, 2021-03-31, 2019-12-25, 2019-12-14, 2019-10-24, 2020-02-01, 2020-03-11, 2021-03-23, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2020-11-20, 2019-10-10, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2021-05-05, 2021-04-06, 2019-12-26, 2019-12-15, 2020-05-07, 2021-01-20, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2021-01-14, 2020-03-15, 2020-01-16, 2019-11-23, 2023-03-14, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2023-03-12, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2021-03-17, 2020-05-31, 2020-03-04, 2021-02-24, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2021-02-25, 2019-10-09, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2020-02-21, 2019-10-30, 2020-12-17, 2023-03-07, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2021-02-11, 2019-12-22, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2023-03-16, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2021-04-14, 2023-03-09, 2023-03-08, 2020-02-22, 2020-12-18, 2020-05-08, 2020-01-24, 2019-12-24, 2020-04-22, 2020-03-31, 2020-01-08, 2019-11-04, 2020-02-06, 2021-02-18, 2020-03-05, 2021-05-27, 2020-03-14, 2021-02-04, 2020-06-09, 2021-01-21, 2020-02-20, 2020-11-23, 2020-04-05, 2021-05-07, 2020-06-03, 2019-10-16, 2020-04-15, 2021-01-26, 2019-12-03, 2020-05-30, 2019-11-09, 2021-02-16, 2020-04-28, 2020-01-12, 2020-05-20, 2023-03-10, 2020-05-02, 2020-02-05, 2020-01-28, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2021-04-28, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2021-03-10, 2020-04-09, 2019-09-30, 2020-01-05, 2019-10-27, 2020-04-10, 2021-04-23, 2020-03-16, 2020-03-21, 2020-02-02, 2020-04-08, 2020-02-25, 2020-01-29, 2021-03-22, 2019-12-04, 2021-02-10, 2021-02-03, 2019-11-26, 2020-03-19, 2020-01-20, 2020-02-27, 2019-12-31, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-12-08, 2020-03-01, 2020-02-17, 2021-03-02, 2020-05-21, 2019-10-23, 2020-04-11, 2019-10-21, 2020-12-16, 2019-11-25, 2020-04-12, 2020-03-13, 2021-05-20, 2020-05-01, 2021-01-13, 2020-03-08, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2021-02-23, 2020-05-15, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2021-05-17, 2021-04-07, 2020-05-18, 2019-12-05, 2019-11-20, 2020-06-06, 2020-12-09, 2023-03-11, 2021-02-02, 2019-11-18, 2020-06-10, 2020-01-27, 2020-11-16, 2020-01-18, 2020-06-04, 2020-04-27, 2020-12-01, 2020-03-25, 2019-10-15, 2020-03-26, 2021-03-09, 2019-10-03\n",
+      "Available Dates = 2020-05-28, 2020-01-09, 2021-03-19, 2020-05-23, 2019-11-29, 2020-01-04, 2019-10-20, 2019-11-30, 2021-01-28, 2020-04-17, 2021-02-19, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2021-03-18, 2020-04-01, 2020-05-14, 2019-10-14, 2019-10-29, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-26, 2019-10-12, 2020-04-29, 2021-03-03, 2020-02-23, 2021-01-15, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2023-03-13, 2020-02-12, 2019-11-19, 2020-05-06, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2021-03-21, 2021-04-21, 2023-03-15, 2020-11-25, 2019-12-27, 2019-10-01, 2021-01-27, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2021-01-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2021-03-05, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2021-03-04, 2021-03-24, 2021-03-16, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2019-10-31, 2020-03-07, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2021-02-09, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2021-02-17, 2021-01-07, 2021-03-31, 2019-12-25, 2019-12-14, 2019-10-24, 2020-03-11, 2020-02-01, 2021-03-23, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2019-10-10, 2020-11-20, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2021-05-05, 2019-12-26, 2019-12-15, 2021-04-06, 2020-05-07, 2021-01-20, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2021-01-14, 2020-03-15, 2019-11-23, 2020-01-16, 2023-03-14, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2023-03-12, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2021-03-17, 2020-05-31, 2020-03-04, 2021-02-24, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2019-10-09, 2021-02-25, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2019-10-30, 2020-02-21, 2020-12-17, 2023-03-07, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2019-12-22, 2021-02-11, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2023-03-16, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2021-04-14, 2023-03-09, 2023-03-08, 2020-02-22, 2020-05-08, 2019-12-24, 2020-12-18, 2020-01-24, 2020-04-22, 2019-11-04, 2020-03-31, 2020-01-08, 2020-02-06, 2021-02-18, 2020-03-05, 2021-05-27, 2020-03-14, 2021-02-04, 2020-06-09, 2021-01-21, 2020-02-20, 2020-11-23, 2020-04-05, 2020-06-03, 2019-10-16, 2021-05-07, 2020-04-15, 2021-01-26, 2019-12-03, 2020-05-30, 2019-11-09, 2021-02-16, 2020-04-28, 2020-01-12, 2020-05-20, 2023-03-10, 2020-05-02, 2020-02-05, 2020-01-28, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2021-04-28, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2019-09-30, 2021-03-10, 2020-04-09, 2020-01-05, 2019-10-27, 2020-04-10, 2021-04-23, 2020-03-16, 2020-03-21, 2020-02-02, 2020-02-25, 2020-04-08, 2020-01-29, 2019-12-04, 2021-03-22, 2021-02-10, 2021-02-03, 2019-11-26, 2020-03-19, 2020-01-20, 2019-12-31, 2020-02-27, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-12-08, 2020-03-01, 2020-02-17, 2020-05-21, 2019-10-23, 2021-03-02, 2020-04-11, 2019-10-21, 2020-12-16, 2019-11-25, 2020-04-12, 2020-03-13, 2020-05-01, 2021-05-20, 2020-03-08, 2021-01-13, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2020-05-15, 2021-02-23, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2020-05-18, 2021-05-17, 2021-04-07, 2019-12-05, 2019-11-20, 2020-06-06, 2020-12-09, 2023-03-11, 2021-02-02, 2019-11-18, 2020-06-10, 2020-01-27, 2020-11-16, 2020-01-18, 2020-06-04, 2020-04-27, 2019-10-15, 2020-12-01, 2020-03-25, 2020-03-26, 2019-10-03, 2021-03-09\n",
       "\n",
-      "Available sites = American River Basin, Central Ag Research Center, Senator Beck, Fairbanks, None, Fraser Experimental Forest, Boise River Basin, Little Cottonwood Canyon, East River, North Slope, Jemez River, Grand Mesa, Cameron Pass, Sagehen Creek, Mammoth Lakes, Niwot Ridge\n"
+      "Available sites = American River Basin, Central Ag Research Center, Senator Beck, Fairbanks, None, Fraser Experimental Forest, Boise River Basin, Little Cottonwood Canyon, North Slope, East River, Jemez River, Grand Mesa, Cameron Pass, Sagehen Creek, Mammoth Lakes, Niwot Ridge\n"
      ]
     }
    ],
@@ -560,7 +565,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### More specific filtering options\n",
+    "### More specific filtering options\n",
     "Sometimes we need a bit more filtering to know more about what I can filter on. Questions like \"What dates was the SMP used?\" are a bit more complicated than \"Give me all the dates for snowex\"\n",
     "\n",
     "The good news is, we have tool for that! `from_unique_entries` is your friend!"
@@ -568,7 +573,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -589,7 +594,7 @@
        " datetime.date(2020, 1, 29)]"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -610,48 +615,412 @@
     "### Limit size \n",
     "To avoid accidental large queries, we have added some bumper rails. By default if you ask for more than 1000 records then an error will pop up unless you explicitly say you want more. \n",
     "\n",
-    "Try doing a large query. Something like the following to see the error:"
+    "**Try This**: Do a large query. Run the code block below without the limit keyword argument (\"kwarg\"):"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Failed query for PointData\n"
-     ]
-    },
-    {
-     "ename": "LargeQueryCheckException",
-     "evalue": "Query will return 2296512 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mLargeQueryCheckException\u001b[0m                  Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[10], line 5\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01msnowexsql\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mapi\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PointMeasurements\n\u001b[1;32m      4\u001b[0m \u001b[38;5;66;03m# Query db using a vague filter or on a huge dataset like GPR\u001b[39;00m\n\u001b[0;32m----> 5\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mPointMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mtype\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtwo_way_travel\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# Show the dataframe\u001b[39;00m\n\u001b[1;32m      8\u001b[0m df\n",
-      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:246\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    244\u001b[0m         session\u001b[38;5;241m.\u001b[39mclose()\n\u001b[1;32m    245\u001b[0m         LOG\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFailed query for PointData\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m--> 246\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m e\n\u001b[1;32m    248\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m df\n",
-      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:241\u001b[0m, in \u001b[0;36mPointMeasurements.from_filter\u001b[0;34m(cls, **kwargs)\u001b[0m\n\u001b[1;32m    239\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    240\u001b[0m     qry \u001b[38;5;241m=\u001b[39m session\u001b[38;5;241m.\u001b[39mquery(\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMODEL)\n\u001b[0;32m--> 241\u001b[0m     qry \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mextend_qry\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    242\u001b[0m     df \u001b[38;5;241m=\u001b[39m query_to_geopandas(qry, engine)\n\u001b[1;32m    243\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n",
-      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:139\u001b[0m, in \u001b[0;36mBaseDataset.extend_qry\u001b[0;34m(cls, qry, check_size, **kwargs)\u001b[0m\n\u001b[1;32m    136\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not an allowed filter\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    138\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m check_size:\n\u001b[0;32m--> 139\u001b[0m     \u001b[38;5;28;43mcls\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_check_size\u001b[49m\u001b[43m(\u001b[49m\u001b[43mqry\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    141\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m qry\n",
-      "File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.11/site-packages/snowexsql/api.py:80\u001b[0m, in \u001b[0;36mBaseDataset._check_size\u001b[0;34m(cls, qry, kwargs)\u001b[0m\n\u001b[1;32m     78\u001b[0m count \u001b[38;5;241m=\u001b[39m qry\u001b[38;5;241m.\u001b[39mcount()\n\u001b[1;32m     79\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m count \u001b[38;5;241m>\u001b[39m \u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n\u001b[0;32m---> 80\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m LargeQueryCheckException(\n\u001b[1;32m     81\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mQuery will return \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcount\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m number of records,\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     82\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m but we have a default max of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mcls\u001b[39m\u001b[38;5;241m.\u001b[39mMAX_RECORD_COUNT\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     83\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m If you want to proceed, set the \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlimit\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m filter\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     84\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m to the desired number of records.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     85\u001b[0m     )\n",
-      "\u001b[0;31mLargeQueryCheckException\u001b[0m: Query will return 2296512 number of records, but we have a default max of 1000. If you want to proceed, set the 'limit' filter to the desired number of records."
-     ]
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>version_number</th>\n",
+       "      <th>equipment</th>\n",
+       "      <th>value</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>northing</th>\n",
+       "      <th>easting</th>\n",
+       "      <th>elevation</th>\n",
+       "      <th>utm_zone</th>\n",
+       "      <th>geom</th>\n",
+       "      <th>...</th>\n",
+       "      <th>date</th>\n",
+       "      <th>time_created</th>\n",
+       "      <th>time_updated</th>\n",
+       "      <th>id</th>\n",
+       "      <th>doi</th>\n",
+       "      <th>date_accessed</th>\n",
+       "      <th>instrument</th>\n",
+       "      <th>type</th>\n",
+       "      <th>units</th>\n",
+       "      <th>observers</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.15</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133808</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.544468</td>\n",
+       "      <td>3152.20</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.544 4323977.677)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316397</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.39</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133808</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.544468</td>\n",
+       "      <td>3152.21</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.544 4323977.677)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316398</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.39</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133808</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.544468</td>\n",
+       "      <td>3152.22</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.544 4323977.677)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316399</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.39</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133808</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.544468</td>\n",
+       "      <td>3152.23</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.544 4323977.677)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316400</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.39</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133808</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.544468</td>\n",
+       "      <td>3152.24</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.544 4323977.677)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316401</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>95</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.39</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133812</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.251152</td>\n",
+       "      <td>3152.90</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.251 4323977.635)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316492</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>96</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.39</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133812</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.251152</td>\n",
+       "      <td>3152.90</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.251 4323977.635)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316493</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>97</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.39</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133812</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.251152</td>\n",
+       "      <td>3152.90</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.251 4323977.635)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316494</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>98</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.39</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133812</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.251152</td>\n",
+       "      <td>3152.90</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.251 4323977.635)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316495</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>99</th>\n",
+       "      <td>None</td>\n",
+       "      <td>None</td>\n",
+       "      <td>8.39</td>\n",
+       "      <td>39.02966</td>\n",
+       "      <td>-108.133812</td>\n",
+       "      <td>4.323978e+06</td>\n",
+       "      <td>748106.251152</td>\n",
+       "      <td>3152.90</td>\n",
+       "      <td>12</td>\n",
+       "      <td>POINT (748106.251 4323977.635)</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2020-01-28</td>\n",
+       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
+       "      <td>None</td>\n",
+       "      <td>4316496</td>\n",
+       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
+       "      <td>2022-07-07</td>\n",
+       "      <td>Mala 800 MHz GPR</td>\n",
+       "      <td>two_way_travel</td>\n",
+       "      <td>ns</td>\n",
+       "      <td>Ryan Webb</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>100 rows × 23 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   version_number equipment  value  latitude   longitude      northing  \\\n",
+       "0            None      None   8.15  39.02966 -108.133808  4.323978e+06   \n",
+       "1            None      None   8.39  39.02966 -108.133808  4.323978e+06   \n",
+       "2            None      None   8.39  39.02966 -108.133808  4.323978e+06   \n",
+       "3            None      None   8.39  39.02966 -108.133808  4.323978e+06   \n",
+       "4            None      None   8.39  39.02966 -108.133808  4.323978e+06   \n",
+       "..            ...       ...    ...       ...         ...           ...   \n",
+       "95           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
+       "96           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
+       "97           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
+       "98           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
+       "99           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
+       "\n",
+       "          easting  elevation  utm_zone                            geom  ...  \\\n",
+       "0   748106.544468    3152.20        12  POINT (748106.544 4323977.677)  ...   \n",
+       "1   748106.544468    3152.21        12  POINT (748106.544 4323977.677)  ...   \n",
+       "2   748106.544468    3152.22        12  POINT (748106.544 4323977.677)  ...   \n",
+       "3   748106.544468    3152.23        12  POINT (748106.544 4323977.677)  ...   \n",
+       "4   748106.544468    3152.24        12  POINT (748106.544 4323977.677)  ...   \n",
+       "..            ...        ...       ...                             ...  ...   \n",
+       "95  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
+       "96  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
+       "97  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
+       "98  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
+       "99  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
+       "\n",
+       "          date                     time_created time_updated       id  \\\n",
+       "0   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316397   \n",
+       "1   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316398   \n",
+       "2   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316399   \n",
+       "3   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316400   \n",
+       "4   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316401   \n",
+       "..         ...                              ...          ...      ...   \n",
+       "95  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316492   \n",
+       "96  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316493   \n",
+       "97  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316494   \n",
+       "98  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316495   \n",
+       "99  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316496   \n",
+       "\n",
+       "                                     doi date_accessed        instrument  \\\n",
+       "0   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "1   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "2   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "3   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "4   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "..                                   ...           ...               ...   \n",
+       "95  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "96  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "97  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "98  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "99  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
+       "\n",
+       "              type units  observers  \n",
+       "0   two_way_travel    ns  Ryan Webb  \n",
+       "1   two_way_travel    ns  Ryan Webb  \n",
+       "2   two_way_travel    ns  Ryan Webb  \n",
+       "3   two_way_travel    ns  Ryan Webb  \n",
+       "4   two_way_travel    ns  Ryan Webb  \n",
+       "..             ...   ...        ...  \n",
+       "95  two_way_travel    ns  Ryan Webb  \n",
+       "96  two_way_travel    ns  Ryan Webb  \n",
+       "97  two_way_travel    ns  Ryan Webb  \n",
+       "98  two_way_travel    ns  Ryan Webb  \n",
+       "99  two_way_travel    ns  Ryan Webb  \n",
+       "\n",
+       "[100 rows x 23 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "# Import PointMeasurements\n",
     "from snowexsql.api import PointMeasurements\n",
     "\n",
-    "# Query db using a vague filter or on a huge dataset like GPR\n",
-    "df = PointMeasurements.from_filter(type='two_way_travel')\n",
+    "# Query db using a vague filter or on a huge dataset like GPR but remove the limit kwarg\n",
+    "df = PointMeasurements.from_filter(type='two_way_travel', limit=100)\n",
     "\n",
     "# Show the dataframe\n",
     "df\n",
-    "\n",
-    "# Throws an exception, try adding the limit keyword arg in the function"
+    "\n"
    ]
   },
   {
@@ -668,7 +1037,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -1041,7 +1410,7 @@
        "[100 rows x 29 columns]"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
index e55fbda..3569dba 100644
--- a/book/tutorials/snowex_database/5_plot_raster_example.ipynb
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -17,28 +17,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "(50.000101089121436, 50.000101089121436)"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "NameError",
+     "evalue": "name 'show' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[2], line 12\u001b[0m\n\u001b[1;32m      9\u001b[0m ds \u001b[38;5;241m=\u001b[39m RasterMeasurements\u001b[38;5;241m.\u001b[39mfrom_filter(observers\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mASO Inc.\u001b[39m\u001b[38;5;124m'\u001b[39m, date\u001b[38;5;241m=\u001b[39mdt, \u001b[38;5;28mtype\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mswe\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     11\u001b[0m \u001b[38;5;66;03m# Plot it up!\u001b[39;00m\n\u001b[0;32m---> 12\u001b[0m \u001b[43mshow\u001b[49m(ds[\u001b[38;5;241m0\u001b[39m], vmin\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.1\u001b[39m, vmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.4\u001b[39m, cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwinter\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     14\u001b[0m \u001b[38;5;66;03m# Note the resolution!\u001b[39;00m\n\u001b[1;32m     15\u001b[0m ds[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mres\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'show' is not defined"
+     ]
     }
    ],
    "source": [
@@ -63,7 +54,6 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "\n",
     "### Let's get part of raster dataset centered on a point\n",
     "\n",
     "More reasonably, we often want chucks of rasters given an point or area of interest. Below is an example of how to do this off of a point. "
@@ -71,12 +61,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -139,27 +129,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>67.0</td>\n",
+       "      <td>68.0</td>\n",
        "      <td>1N3</td>\n",
        "      <td>COGM1N3_20200211</td>\n",
-       "      <td>57.0</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
        "      <td>None</td>\n",
-       "      <td>242.5</td>\n",
+       "      <td>None</td>\n",
+       "      <td>45.83</td>\n",
        "      <td>None</td>\n",
        "      <td>...</td>\n",
        "      <td>2020-02-11</td>\n",
-       "      <td>2024-08-15 19:24:19.860106+00:00</td>\n",
+       "      <td>2024-08-15 20:03:41.020791+00:00</td>\n",
        "      <td>None</td>\n",
-       "      <td>2308829</td>\n",
-       "      <td>https://doi.org/10.5067/DUD2VZEVBJ7S</td>\n",
+       "      <td>2414175</td>\n",
+       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
        "      <td>2022-06-30</td>\n",
+       "      <td>IS3-SP-11-01F</td>\n",
+       "      <td>reflectance</td>\n",
        "      <td>None</td>\n",
-       "      <td>density</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
+       "      <td>Kate Hale</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -167,22 +157,22 @@
        "</div>"
       ],
       "text/plain": [
-       "   depth site_id            pit_id  bottom_depth comments sample_a sample_b  \\\n",
-       "0   67.0     1N3  COGM1N3_20200211          57.0     None     None     None   \n",
+       "   depth site_id            pit_id bottom_depth comments sample_a sample_b  \\\n",
+       "0   68.0     1N3  COGM1N3_20200211         None     None     None     None   \n",
        "\n",
        "  sample_c  value flags  ...        date                     time_created  \\\n",
-       "0     None  242.5  None  ...  2020-02-11 2024-08-15 19:24:19.860106+00:00   \n",
+       "0     None  45.83  None  ...  2020-02-11 2024-08-15 20:03:41.020791+00:00   \n",
        "\n",
        "   time_updated       id                                   doi  date_accessed  \\\n",
-       "0          None  2308829  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
+       "0          None  2414175  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
        "\n",
-       "  instrument     type units observers  \n",
-       "0       None  density  None      None  \n",
+       "      instrument         type units  observers  \n",
+       "0  IS3-SP-11-01F  reflectance  None  Kate Hale  \n",
        "\n",
        "[1 rows x 29 columns]"
       ]
      },
-     "execution_count": 1,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -218,9 +208,16 @@
     "df_site"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Useful rasterio function - `.sample`"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -246,12 +243,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -265,7 +262,7 @@
        "<Axes: >"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/book/tutorials/snowex_database/6_wrap_up.ipynb b/book/tutorials/snowex_database/6_wrap_up.ipynb
index 4bd370d..5457a11 100644
--- a/book/tutorials/snowex_database/6_wrap_up.ipynb
+++ b/book/tutorials/snowex_database/6_wrap_up.ipynb
@@ -34,7 +34,7 @@
     "\n",
     "A huge thanks to HP Marshall who originally gave us the opportunity to build this a couple years ago. And thanks to Joe Meyer who pursued funding to develop it futher. Buy them a beer or better yet volunteer for field work to hang out with them! \n",
     "\n",
-    "❄️ Go forth and snow science! ❄️"
+    "❄️ **Go forth and snow science!** ❄️"
    ]
   },
   {

From 220d6ebed9ba77e832478bc55a9d4c35d21b6dcb Mon Sep 17 00:00:00 2001
From: Micah Johnson <micah.johnson150@gmail.com>
Date: Sat, 17 Aug 2024 01:59:11 +0000
Subject: [PATCH 20/21] Added show import

---
 .../snowex_database/5_plot_raster_example.ipynb     | 13 +++++++------
 1 file changed, 7 insertions(+), 6 deletions(-)

diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
index 3569dba..1df1611 100644
--- a/book/tutorials/snowex_database/5_plot_raster_example.ipynb
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -17,18 +17,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'show' is not defined",
+     "ename": "AttributeError",
+     "evalue": "type object 'RasterMeasurements' has no attribute 'from_filter'",
      "output_type": "error",
      "traceback": [
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[2], line 12\u001b[0m\n\u001b[1;32m      9\u001b[0m ds \u001b[38;5;241m=\u001b[39m RasterMeasurements\u001b[38;5;241m.\u001b[39mfrom_filter(observers\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mASO Inc.\u001b[39m\u001b[38;5;124m'\u001b[39m, date\u001b[38;5;241m=\u001b[39mdt, \u001b[38;5;28mtype\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mswe\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     11\u001b[0m \u001b[38;5;66;03m# Plot it up!\u001b[39;00m\n\u001b[0;32m---> 12\u001b[0m \u001b[43mshow\u001b[49m(ds[\u001b[38;5;241m0\u001b[39m], vmin\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.1\u001b[39m, vmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.4\u001b[39m, cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwinter\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     14\u001b[0m \u001b[38;5;66;03m# Note the resolution!\u001b[39;00m\n\u001b[1;32m     15\u001b[0m ds[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mres\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'show' is not defined"
+      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[1], line 10\u001b[0m\n\u001b[1;32m      7\u001b[0m dt \u001b[38;5;241m=\u001b[39m datetime(\u001b[38;5;241m2020\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m13\u001b[39m)\n\u001b[1;32m      9\u001b[0m \u001b[38;5;66;03m# Query db filtering to swe on a certain date surveyed by ASO\u001b[39;00m\n\u001b[0;32m---> 10\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[43mRasterMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m(observers\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mASO Inc.\u001b[39m\u001b[38;5;124m'\u001b[39m, date\u001b[38;5;241m=\u001b[39mdt, \u001b[38;5;28mtype\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mswe\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     12\u001b[0m \u001b[38;5;66;03m# Plot it up!\u001b[39;00m\n\u001b[1;32m     13\u001b[0m show(ds[\u001b[38;5;241m0\u001b[39m], vmin\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.1\u001b[39m, vmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.4\u001b[39m, cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwinter\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
+      "\u001b[0;31mAttributeError\u001b[0m: type object 'RasterMeasurements' has no attribute 'from_filter'"
      ]
     }
    ],
@@ -36,6 +36,7 @@
     "# import in the raster measurments class\n",
     "from snowexsql.api import RasterMeasurements\n",
     "from datetime import datetime \n",
+    "from rasterio.plot import show\n",
     "\n",
     "# Pick a date\n",
     "dt = datetime(2020, 2, 13)\n",

From c9dddd5de932ccee8baac176bee66f1b87b9f9a1 Mon Sep 17 00:00:00 2001
From: Micah Johnson <micah.johnson150@gmail.com>
Date: Sat, 17 Aug 2024 02:07:22 +0000
Subject: [PATCH 21/21] Cleared the output from cells

---
 .../1_getting_started_example.ipynb           |  402 +---
 .../2_database_structure.ipynb                |   39 +-
 .../snowex_database/3_forming_queries.ipynb   | 1636 +----------------
 .../4_get_spiral_example.ipynb                |  518 +-----
 .../5_plot_raster_example.ipynb               |  170 +-
 5 files changed, 34 insertions(+), 2731 deletions(-)

diff --git a/book/tutorials/snowex_database/1_getting_started_example.ipynb b/book/tutorials/snowex_database/1_getting_started_example.ipynb
index 55142c3..e4a48c4 100644
--- a/book/tutorials/snowex_database/1_getting_started_example.ipynb
+++ b/book/tutorials/snowex_database/1_getting_started_example.ipynb
@@ -80,407 +80,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>version_number</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>value</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "      <th>northing</th>\n",
-       "      <th>easting</th>\n",
-       "      <th>elevation</th>\n",
-       "      <th>utm_zone</th>\n",
-       "      <th>geom</th>\n",
-       "      <th>...</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>observers</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>83.0</td>\n",
-       "      <td>39.04496</td>\n",
-       "      <td>-108.06311</td>\n",
-       "      <td>4.325871e+06</td>\n",
-       "      <td>754172.639132</td>\n",
-       "      <td>3253.169922</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (754172.639 4325871.377)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-03-12</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41824</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>100.0</td>\n",
-       "      <td>39.04563</td>\n",
-       "      <td>-108.19593</td>\n",
-       "      <td>4.325583e+06</td>\n",
-       "      <td>742673.504400</td>\n",
-       "      <td>3048.699951</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (742673.504 4325582.611)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-30</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41825</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>117.0</td>\n",
-       "      <td>39.00760</td>\n",
-       "      <td>-108.14791</td>\n",
-       "      <td>4.321491e+06</td>\n",
-       "      <td>746962.448982</td>\n",
-       "      <td>3087.709961</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (746962.449 4321490.615)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-29</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41826</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>98.0</td>\n",
-       "      <td>39.02144</td>\n",
-       "      <td>-108.16401</td>\n",
-       "      <td>4.322983e+06</td>\n",
-       "      <td>745520.203184</td>\n",
-       "      <td>3099.639893</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (745520.203 4322983.253)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-09</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41827</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>92.0</td>\n",
-       "      <td>39.03404</td>\n",
-       "      <td>-108.19103</td>\n",
-       "      <td>4.324309e+06</td>\n",
-       "      <td>743137.395316</td>\n",
-       "      <td>3055.590088</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743137.395 4324309.223)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41828</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>95</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>92.0</td>\n",
-       "      <td>39.03596</td>\n",
-       "      <td>-108.20975</td>\n",
-       "      <td>4.324472e+06</td>\n",
-       "      <td>741510.229315</td>\n",
-       "      <td>3030.070068</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (741510.229 4324472.430)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41919</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>96</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>35.0</td>\n",
-       "      <td>39.03126</td>\n",
-       "      <td>-108.18948</td>\n",
-       "      <td>4.324005e+06</td>\n",
-       "      <td>743281.122092</td>\n",
-       "      <td>3060.439941</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743281.122 4324004.792)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-05</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41920</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>97</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>101.0</td>\n",
-       "      <td>39.01843</td>\n",
-       "      <td>-108.15596</td>\n",
-       "      <td>4.322671e+06</td>\n",
-       "      <td>746227.685533</td>\n",
-       "      <td>3103.750000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (746227.686 4322670.914)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-01</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41921</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>102.0</td>\n",
-       "      <td>39.01437</td>\n",
-       "      <td>-108.14158</td>\n",
-       "      <td>4.322259e+06</td>\n",
-       "      <td>747487.040217</td>\n",
-       "      <td>3100.860107</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (747487.040 4322259.296)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-29</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41922</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>99</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>115.0</td>\n",
-       "      <td>39.03918</td>\n",
-       "      <td>-108.00313</td>\n",
-       "      <td>4.325399e+06</td>\n",
-       "      <td>759385.731498</td>\n",
-       "      <td>-9999.000000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (759385.731 4325399.285)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-03</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41923</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>100 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    version_number equipment  value  latitude  longitude      northing  \\\n",
-       "0                1     ruler   83.0  39.04496 -108.06311  4.325871e+06   \n",
-       "1                1     ruler  100.0  39.04563 -108.19593  4.325583e+06   \n",
-       "2                1     ruler  117.0  39.00760 -108.14791  4.321491e+06   \n",
-       "3                1     ruler   98.0  39.02144 -108.16401  4.322983e+06   \n",
-       "4                1     ruler   92.0  39.03404 -108.19103  4.324309e+06   \n",
-       "..             ...       ...    ...       ...        ...           ...   \n",
-       "95               1     ruler   92.0  39.03596 -108.20975  4.324472e+06   \n",
-       "96               1     ruler   35.0  39.03126 -108.18948  4.324005e+06   \n",
-       "97               1     ruler  101.0  39.01843 -108.15596  4.322671e+06   \n",
-       "98               1     ruler  102.0  39.01437 -108.14158  4.322259e+06   \n",
-       "99               1     ruler  115.0  39.03918 -108.00313  4.325399e+06   \n",
-       "\n",
-       "          easting    elevation  utm_zone                            geom  ...  \\\n",
-       "0   754172.639132  3253.169922        12  POINT (754172.639 4325871.377)  ...   \n",
-       "1   742673.504400  3048.699951        12  POINT (742673.504 4325582.611)  ...   \n",
-       "2   746962.448982  3087.709961        12  POINT (746962.449 4321490.615)  ...   \n",
-       "3   745520.203184  3099.639893        12  POINT (745520.203 4322983.253)  ...   \n",
-       "4   743137.395316  3055.590088        12  POINT (743137.395 4324309.223)  ...   \n",
-       "..            ...          ...       ...                             ...  ...   \n",
-       "95  741510.229315  3030.070068        12  POINT (741510.229 4324472.430)  ...   \n",
-       "96  743281.122092  3060.439941        12  POINT (743281.122 4324004.792)  ...   \n",
-       "97  746227.685533  3103.750000        12  POINT (746227.686 4322670.914)  ...   \n",
-       "98  747487.040217  3100.860107        12  POINT (747487.040 4322259.296)  ...   \n",
-       "99  759385.731498 -9999.000000        12  POINT (759385.731 4325399.285)  ...   \n",
-       "\n",
-       "          date                     time_created time_updated     id  \\\n",
-       "0   2020-03-12 2022-06-30 22:56:52.635035+00:00         None  41824   \n",
-       "1   2020-01-30 2022-06-30 22:56:52.635035+00:00         None  41825   \n",
-       "2   2020-01-29 2022-06-30 22:56:52.635035+00:00         None  41826   \n",
-       "3   2020-02-09 2022-06-30 22:56:52.635035+00:00         None  41827   \n",
-       "4   2020-01-28 2022-06-30 22:56:52.635035+00:00         None  41828   \n",
-       "..         ...                              ...          ...    ...   \n",
-       "95  2020-01-28 2022-06-30 22:56:52.635035+00:00         None  41919   \n",
-       "96  2020-02-05 2022-06-30 22:56:52.635035+00:00         None  41920   \n",
-       "97  2020-02-01 2022-06-30 22:56:52.635035+00:00         None  41921   \n",
-       "98  2020-01-29 2022-06-30 22:56:52.635035+00:00         None  41922   \n",
-       "99  2020-02-03 2022-06-30 22:56:52.635035+00:00         None  41923   \n",
-       "\n",
-       "                                     doi date_accessed  instrument   type  \\\n",
-       "0   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "1   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "2   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "3   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "4   https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "..                                   ...           ...         ...    ...   \n",
-       "95  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "96  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "97  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "98  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "99  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "\n",
-       "   units observers  \n",
-       "0     cm      None  \n",
-       "1     cm      None  \n",
-       "2     cm      None  \n",
-       "3     cm      None  \n",
-       "4     cm      None  \n",
-       "..   ...       ...  \n",
-       "95    cm      None  \n",
-       "96    cm      None  \n",
-       "97    cm      None  \n",
-       "98    cm      None  \n",
-       "99    cm      None  \n",
-       "\n",
-       "[100 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 15,
-     "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"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from snowexsql.api import PointMeasurements\n",
     "\n",
diff --git a/book/tutorials/snowex_database/2_database_structure.ipynb b/book/tutorials/snowex_database/2_database_structure.ipynb
index 1b47184..444a308 100644
--- a/book/tutorials/snowex_database/2_database_structure.ipynb
+++ b/book/tutorials/snowex_database/2_database_structure.ipynb
@@ -36,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "979fad96",
    "metadata": {},
    "outputs": [],
@@ -55,43 +55,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "8fd4e693",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "These are the available columns in the table:\n",
-      " \n",
-      "* version_number\n",
-      "* equipment\n",
-      "* value\n",
-      "* latitude\n",
-      "* longitude\n",
-      "* northing\n",
-      "* easting\n",
-      "* elevation\n",
-      "* utm_zone\n",
-      "* geom\n",
-      "* time\n",
-      "* site_id\n",
-      "* site_name\n",
-      "* date\n",
-      "* time_created\n",
-      "* time_updated\n",
-      "* id\n",
-      "* doi\n",
-      "* date_accessed\n",
-      "* instrument\n",
-      "* type\n",
-      "* units\n",
-      "* observers\n",
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Import the class reflecting the points table in the db\n",
     "from snowexsql.api import PointMeasurements as measurements\n",
diff --git a/book/tutorials/snowex_database/3_forming_queries.ipynb b/book/tutorials/snowex_database/3_forming_queries.ipynb
index b378de5..169a185 100644
--- a/book/tutorials/snowex_database/3_forming_queries.ipynb
+++ b/book/tutorials/snowex_database/3_forming_queries.ipynb
@@ -21,31 +21,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "                    value\n",
-      "site_id                  \n",
-      "Banner Open    235.500000\n",
-      "Banner Snotel  216.666667\n",
-      "Bogus Upper    260.625000\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Import in our two classes to access the db\n",
     "from snowexsql.api import LayerMeasurements\n",
@@ -80,407 +58,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>depth</th>\n",
-       "      <th>site_id</th>\n",
-       "      <th>pit_id</th>\n",
-       "      <th>bottom_depth</th>\n",
-       "      <th>comments</th>\n",
-       "      <th>sample_a</th>\n",
-       "      <th>sample_b</th>\n",
-       "      <th>sample_c</th>\n",
-       "      <th>value</th>\n",
-       "      <th>flags</th>\n",
-       "      <th>...</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>observers</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>84.0</td>\n",
-       "      <td>1C5</td>\n",
-       "      <td>COGM1C5_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>45.6</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407961</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>79.0</td>\n",
-       "      <td>1C5</td>\n",
-       "      <td>COGM1C5_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>38.2</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407962</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>74.0</td>\n",
-       "      <td>1C5</td>\n",
-       "      <td>COGM1C5_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24.5</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407963</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>69.0</td>\n",
-       "      <td>1C5</td>\n",
-       "      <td>COGM1C5_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>23.5</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407964</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>64.0</td>\n",
-       "      <td>1C5</td>\n",
-       "      <td>COGM1C5_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22.4</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.508508+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407965</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>155</th>\n",
-       "      <td>28.0</td>\n",
-       "      <td>1C1</td>\n",
-       "      <td>COGM1C1_20200131</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>13.1</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2410266</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>156</th>\n",
-       "      <td>23.0</td>\n",
-       "      <td>1C1</td>\n",
-       "      <td>COGM1C1_20200131</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>10.1</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2410267</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>157</th>\n",
-       "      <td>18.0</td>\n",
-       "      <td>1C1</td>\n",
-       "      <td>COGM1C1_20200131</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>10.6</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2410268</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>158</th>\n",
-       "      <td>13.0</td>\n",
-       "      <td>1C1</td>\n",
-       "      <td>COGM1C1_20200131</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>10.5</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2410269</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>159</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>1C1</td>\n",
-       "      <td>COGM1C1_20200131</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>13.2</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-31</td>\n",
-       "      <td>2024-08-15 20:03:31.924769+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2410270</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Juha Lemmetyinen &amp; Ioanna Merkouriadi</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>160 rows × 29 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     depth site_id            pit_id bottom_depth comments sample_a sample_b  \\\n",
-       "0     84.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
-       "1     79.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
-       "2     74.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
-       "3     69.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
-       "4     64.0     1C5  COGM1C5_20200212         None     None     None     None   \n",
-       "..     ...     ...               ...          ...      ...      ...      ...   \n",
-       "155   28.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
-       "156   23.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
-       "157   18.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
-       "158   13.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
-       "159    8.0     1C1  COGM1C1_20200131         None     None     None     None   \n",
-       "\n",
-       "    sample_c value flags  ...        date                     time_created  \\\n",
-       "0       None  45.6  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
-       "1       None  38.2  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
-       "2       None  24.5  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
-       "3       None  23.5  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
-       "4       None  22.4  None  ...  2020-02-12 2024-08-15 20:03:26.508508+00:00   \n",
-       "..       ...   ...   ...  ...         ...                              ...   \n",
-       "155     None  13.1  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
-       "156     None  10.1  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
-       "157     None  10.6  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
-       "158     None  10.5  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
-       "159     None  13.2  None  ...  2020-01-31 2024-08-15 20:03:31.924769+00:00   \n",
-       "\n",
-       "     time_updated       id                                   doi  \\\n",
-       "0            None  2407961  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "1            None  2407962  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "2            None  2407963  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "3            None  2407964  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "4            None  2407965  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "..            ...      ...                                   ...   \n",
-       "155          None  2410266  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "156          None  2410267  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "157          None  2410268  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "158          None  2410269  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "159          None  2410270  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "\n",
-       "     date_accessed     instrument                   type units  \\\n",
-       "0       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "1       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "2       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "3       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "4       2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "..             ...            ...                    ...   ...   \n",
-       "155     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "156     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "157     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "158     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "159     2022-06-30  IS3-SP-11-01F  specific_surface_area  None   \n",
-       "\n",
-       "                                 observers  \n",
-       "0                                Kate Hale  \n",
-       "1                                Kate Hale  \n",
-       "2                                Kate Hale  \n",
-       "3                                Kate Hale  \n",
-       "4                                Kate Hale  \n",
-       "..                                     ...  \n",
-       "155  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
-       "156  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
-       "157  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
-       "158  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
-       "159  Juha Lemmetyinen & Ioanna Merkouriadi  \n",
-       "\n",
-       "[160 rows x 29 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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3AAAsQ7gDAGAZwh0AAMsQ7gAAWIZwBwDAMoQ7AACWIdwBALAM4Q4AgGUIdwAALEO4AwBgGcIdAADLEO4AAFiGcAcAwDKEOwAAliHcAQCwDOEOAIBlCHcAACxDuAMAYBnCHQAAyxDuAABYhnAHAMAyhDsAAJYh3AEAsAzhDgCAZQh3AAAsQ7gDAGAZwh0AAMsQ7gAAWIZwBwDAMoQ7AACWIdwBALAM4Q4AgGUIdwAALEO4AwBgGcIdAADLEO4AAFiGcAcAwDKEOwAAljmjcM/Ly5PL5VJOTo4zZozR4sWL5fP5FB0drVGjRmn37t1B2zU0NGjOnDlKTk5WbGyssrOzVVFRcSa7AgAAfnDa4V5cXKzVq1dryJAhQeNLly7VsmXLtHLlShUXF8vr9Wrs2LGqq6tzanJyclRQUKD8/Hxt2bJFR48e1cSJE9Xc3Hz6RwIAACSdZrgfPXpUU6dO1bPPPquEhARn3BijFStW6KGHHtKkSZOUkZGh559/Xt9++61efvllSVIgENCaNWv0u9/9TmPGjNGVV16pl156SWVlZdq0aVPXHBUAAGHstMJ91qxZuv766zVmzJig8f3798vv92vcuHHOWFRUlEaOHKmtW7dKkkpKStTU1BRU4/P5lJGR4dS01tDQoNra2qAFAAC0LyLUDfLz81VaWqri4uI26/x+vyTJ4/EEjXs8Hh08eNCpiYyMDJrxn6g5sX1reXl5evTRR0PdVQAAwlJIM/fy8nLNnTtXL730ks4777wO61wuV9BjY0ybsdZOVrNo0SIFAgFnKS8vD2W3AQAIKyGFe0lJiaqrqzV06FBFREQoIiJCRUVF+v3vf6+IiAhnxt56Bl5dXe2s83q9amxsVE1NTYc1rUVFRSk+Pj5oAQAA7Qsp3EePHq2ysjLt3LnTWa666ipNnTpVO3fu1EUXXSSv16vCwkJnm8bGRhUVFSkrK0uSNHToUPXp0yeopqqqSrt27XJqAADA6QvpM/e4uDhlZGQEjcXGxiopKckZz8nJUW5urtLT05Wenq7c3FzFxMRoypQpkiS3263p06dr3rx5SkpKUmJioubPn6/MzMw2F+gBAIDQhXxB3aksWLBA9fX1mjlzpmpqajRs2DBt3LhRcXFxTs3y5csVERGhyZMnq76+XqNHj9a6devUu3fvrt4dAADCjssYY871ToSqtrZWbrdbgUCAz98BAGEhlOzju+UBALBMl5+WB9B11m/7Qve+UeY8/v1NmcoePugc7hGAnoDT8kA3deEDb3a47sAT15/FPQHQHXBaHujhThbsnVkPILwR7kA3s37bF11aByD8EO5AN/Pjz9i7og5A+CHcAQCwDOEOAIBlCHegm/n9TZldWgcg/BDuQDfT2fvYud8dQEcId6AbOtV97NznDuBkCHegmzrwxPVtTr3//qZMgh3AKfH1s0A3lj18EKffAYSMmTsAAJYh3AEAsAzhDgCAZQh3AAAsQ7gDAGAZwh0AAMsQ7gAAWIZwBwDAMoQ7AACWIdwBALAM4Q4AgGUIdwAALEO4AwBgGcIdAADLEO4AAFiGcAcAwDKEOwAAliHcAQCwTMS53gEA6CnKvggo++ktMpJcktbP/KUyB7nP9W4BbRDuANAJFz7wZtBjI+mGp7dIkg48cf052COgY5yWB4BTaB3soa4HzjbCHQBOouyLQJfWAWcD4Q4AJ5H9w6n3rqoDzgbCHUBojKTiH/4ZBjp7mGHSDvQQhDuA0Lwk6f+T9IdzvSNnh6uL64CzgXAH0HnHJT3yw78/8sNjy62f+csurQPOBsIdQOf9UdL+H/59n6T8c7gvZ0ln72Pnfnd0J4Q7gM45MWs/cf65l8Jm9n6q+9i5zx3dDeEOoHNOzNpPXDnWorCZvUvfB/ifZ/7S+dvGJenPM39JsKNbchljetxFnrW1tXK73QoEAoqPjz/XuwPY77ikn0k6oODLwntJulDSHvF9l8BPLJTsY+YO4NRaz9pPCLPZO9BTEO4ATq71Z+2thdFn70BPQbgDOLktan/WfsKJ2Ttf0AZ0G3xKBuDkRkj6d0kNJ6mJ+qEOQLdAuAM4uShJ//dc7wSAUHBaHgAAyxDuAABYhnAHAMAyhDsAAJYh3AEAsAzhDgCAZUIK91WrVmnIkCGKj49XfHy8RowYobfeestZb4zR4sWL5fP5FB0drVGjRmn37t1Bz9HQ0KA5c+YoOTlZsbGxys7OVkVFRdccDQAACC3cBw4cqCeeeELbt2/X9u3bde211+rGG290Anzp0qVatmyZVq5cqeLiYnm9Xo0dO1Z1dXXOc+Tk5KigoED5+fnasmWLjh49qokTJ6q5ublrjwwAgDB1xr8Kl5iYqCeffFJ33XWXfD6fcnJytHDhQknfz9I9Ho+WLFmiGTNmKBAIqF+/fnrxxRd16623SpIqKyuVmpqqDRs2aPz48Z16TX4VDgAQbs7Kr8I1NzcrPz9fx44d04gRI7R//375/X6NGzfOqYmKitLIkSO1detWSVJJSYmampqCanw+nzIyMpya9jQ0NKi2tjZoAQAA7Qs53MvKynT++ecrKipK99xzjwoKCnTppZfK7/dLkjweT1C9x+Nx1vn9fkVGRiohIaHDmvbk5eXJ7XY7S2pqaqi7DQBA2Ag53C+55BLt3LlT27Zt029+8xvdeeed+vjjj531Llfw70IaY9qMtXaqmkWLFikQCDhLeXl5qLsNAEDYCDncIyMjdfHFF+uqq65SXl6eLr/8cj311FPyer2S1GYGXl1d7czmvV6vGhsbVVNT02FNe6Kiopwr9E8sAACgfWd8n7sxRg0NDUpLS5PX61VhYaGzrrGxUUVFRcrKypIkDR06VH369Amqqaqq0q5du5waAABwZkL6ydcHH3xQEyZMUGpqqurq6pSfn6/33ntPb7/9tlwul3JycpSbm6v09HSlp6crNzdXMTExmjJliiTJ7XZr+vTpmjdvnpKSkpSYmKj58+crMzNTY8aM+UkOEACAcBNSuH/55ZeaNm2aqqqq5Ha7NWTIEL399tsaO3asJGnBggWqr6/XzJkzVVNTo2HDhmnjxo2Ki4tznmP58uWKiIjQ5MmTVV9fr9GjR2vdunXq3bt31x4ZAABh6ozvcz8XuM8dABBuzsp97gAAoHsi3AEAsAzhDgCAZQh3AAAsQ7gDAGAZwh0AAMsQ7gAAWIZwBwDAMoQ7AACWIdwBALAM4Q4AgGUIdwAALEO4AwBgGcIdAADLEO4AAFiGcAcAwDKEOwAAliHcAQCwDOEOAIBlCHcAACxDuAMAYBnCHQAAyxDuAABYhnAHAMAyhDsAAJYh3AEAsAzhDgCAZQh3AAAsQ7gDAGAZwh0AAMsQ7gAAWIZwBwDAMoQ7AACWIdwBALAM4Q4AgGUIdwAALEO4AwBgGcIdAADLEO4AAFiGcAcAwDKEOwAAliHcAQCwDOEOAIBlCHcAACxDuAMAYBnCHQAAyxDuAABYhnAHAMAyhDsAAJYh3AEAsAzhDgCAZQh3AAAsQ7gDAGAZwh0AAMuEFO55eXn6xS9+obi4OKWkpOimm27Snj17gmqMMVq8eLF8Pp+io6M1atQo7d69O6imoaFBc+bMUXJysmJjY5Wdna2KioozPxoAABBauBcVFWnWrFnatm2bCgsLdfz4cY0bN07Hjh1zapYuXaply5Zp5cqVKi4ultfr1dixY1VXV+fU5OTkqKCgQPn5+dqyZYuOHj2qiRMnqrm5ueuODACAMOUyxpjT3firr75SSkqKioqK9Ld/+7cyxsjn8yknJ0cLFy6U9P0s3ePxaMmSJZoxY4YCgYD69eunF198UbfeeqskqbKyUqmpqdqwYYPGjx9/ytetra2V2+1WIBBQfHz86e4+AAA9RijZd0afuQcCAUlSYmKiJGn//v3y+/0aN26cUxMVFaWRI0dq69atkqSSkhI1NTUF1fh8PmVkZDg1rTU0NKi2tjZoAQAA7TvtcDfG6P7779cvf/lLZWRkSJL8fr8kyePxBNV6PB5nnd/vV2RkpBISEjqsaS0vL09ut9tZUlNTT3e3AQCw3mmH++zZs/XXv/5Vf/zjH9usc7lcQY+NMW3GWjtZzaJFixQIBJylvLz8dHcbAADrnVa4z5kzR+vXr9fmzZs1cOBAZ9zr9UpSmxl4dXW1M5v3er1qbGxUTU1NhzWtRUVFKT4+PmgBAADtCyncjTGaPXu2Xn/9db377rtKS0sLWp+Wliav16vCwkJnrLGxUUVFRcrKypIkDR06VH369Amqqaqq0q5du5waAABw+iJCKZ41a5Zefvll/cd//Ifi4uKcGbrb7VZ0dLRcLpdycnKUm5ur9PR0paenKzc3VzExMZoyZYpTO336dM2bN09JSUlKTEzU/PnzlZmZqTFjxnT9EQIAEGZCCvdVq1ZJkkaNGhU0vnbtWv3617+WJC1YsED19fWaOXOmampqNGzYMG3cuFFxcXFO/fLlyxUREaHJkyervr5eo0eP1rp169S7d+8zOxoAAHBm97mfK9znDgAIN2ftPncAAND9EO4AAFiGcAcAwDKEOwAAliHcAQCwDOEOAIBlCHcAACxDuAMAYBnCHQAAyxDuAABYhnAHAMAyhDsAAJYh3AEAsAzhDgCAZQh3AAAsQ7gDAGAZwh0AAMsQ7gAAWIZwBwDAMoQ7AACWIdwBALAM4Q4AgGUIdwAALEO4AwBgGcIdAADLEO4AAFiGcAcAwDKEOwAAliHcAQCwDOEOAIBlCHcAACxDuAMAYBnCHQAAyxDuAABYhnAHAMAyhDsAAJYh3AEAsAzhDgCAZQh3AAAsQ7gDAGAZwh0AAMsQ7gAAWIZwBwDAMoQ7AACWIdwBALAM4Q4AgGUIdwAALEO4AwBgGcIdAADLEO4AAFiGcAcAwDKEOwAAliHcAQCwDOEOAIBlQg73999/XzfccIN8Pp9cLpfeeOONoPXGGC1evFg+n0/R0dEaNWqUdu/eHVTT0NCgOXPmKDk5WbGxscrOzlZFRcUZHQgAAPheyOF+7NgxXX755Vq5cmW765cuXaply5Zp5cqVKi4ultfr1dixY1VXV+fU5OTkqKCgQPn5+dqyZYuOHj2qiRMnqrm5+fSPBAAASJJcxhhz2hu7XCooKNBNN90k6ftZu8/nU05OjhYuXCjp+1m6x+PRkiVLNGPGDAUCAfXr108vvviibr31VklSZWWlUlNTtWHDBo0fP/6Ur1tbWyu3261AIKD4+PjT3X0AAHqMULKvSz9z379/v/x+v8aNG+eMRUVFaeTIkdq6daskqaSkRE1NTUE1Pp9PGRkZTk1rDQ0Nqq2tDVoAAED7ujTc/X6/JMnj8QSNezweZ53f71dkZKQSEhI6rGktLy9PbrfbWVJTU7tytwEAsMpPcrW8y+UKemyMaTPW2slqFi1apEAg4Czl5eVdtq8AANimS8Pd6/VKUpsZeHV1tTOb93q9amxsVE1NTYc1rUVFRSk+Pj5oAQAA7evScE9LS5PX61VhYaEz1tjYqKKiImVlZUmShg4dqj59+gTVVFVVadeuXU4NAAA4fRGhbnD06FF99tlnzuP9+/dr586dSkxM1KBBg5STk6Pc3Fylp6crPT1dubm5iomJ0ZQpUyRJbrdb06dP17x585SUlKTExETNnz9fmZmZGjNmTNcdGQAAYSrkcN++fbuuueYa5/H9998vSbrzzju1bt06LViwQPX19Zo5c6Zqamo0bNgwbdy4UXFxcc42y5cvV0REhCZPnqz6+nqNHj1a69atU+/evbvgkAAACG9ndJ/7ucJ97gCAcHPO7nMHAADnHuEOAIBlCHcAACxDuAMAYBnCHQAAyxDuAABYhnAHAMAyhDsAAJYh3AEAsAzhDgCAZQh3AAAsQ7gDAGAZwh0AAMuE/JOvAADg5LbtPazb/m2b8zj/ruEa/rOks/b6hDsAAF3owgfebDN2IugPPHH9WdkHTssDANBF2gv2UNZ3FcIdAIAusG3v4S6tOxOEOwAAXeDHn7F3Rd2ZINwBALAM4Q4AgGUIdwAAukD+XcO7tO5MEO4AAHSBzt7HfjbudyfcAQDoIqe6j/1s3efOl9gAANCFDjxxPd9QBwCAbYb/LOmszdLbw2l5AAAsQ7gDAGAZwh0AAMsQ7gAAWIZwBwDAMoQ7AACWIdwBALAM4Q4AgGUIdwAALNMjv6HOGCNJqq2tPcd7AgDA2XEi805k4Mn0yHCvq6uTJKWmpp7jPQEA4Oyqq6uT2+0+aY3LdOZPgG6mpaVFlZWViouLk8vlCmnb2tpapaamqry8XPHx8T/RHnZ/9IEeSPRAogcSPZB6Rg+MMaqrq5PP51OvXif/VL1Hztx79eqlgQMHntFzxMfHd9v/gGcTfaAHEj2Q6IFED6Tu34NTzdhP4II6AAAsQ7gDAGCZsAv3qKgoPfLII4qKijrXu3JO0Qd6INEDiR5I9ECyrwc98oI6AADQsbCbuQMAYDvCHQAAyxDuAABYhnAHAMAy3S7cL7zwQrlcrjbLrFmz2tTOmDFDLpdLK1asCBpvaGjQnDlzlJycrNjYWGVnZ6uiouKUr/PAAw8E1XzxxRe64YYbFBsbq+TkZN17771qbGwMqikrK9PIkSMVHR2tAQMG6LHHHuvU9/52hx5I0ptvvqlhw4YpOjpaycnJmjRpUtj04L333mv3NVwul4qLi8OiB5K0d+9e3XjjjUpOTlZ8fLyuvvpqbd68OajG9h6UlpZq7Nix6tu3r5KSkvQP//APOnr0aLfoQVf1YfXq1Ro1apTi4+Plcrl05MiRNtvW1NRo2rRpcrvdcrvdmjZtWpu6nvxe6EwPHn/8cWVlZSkmJkZ9+/Ztd1/O5Xuh00w3U11dbaqqqpylsLDQSDKbN28OqisoKDCXX3658fl8Zvny5UHr7rnnHjNgwABTWFhoSktLzTXXXGMuv/xyc/z4cafmggsuMI899ljQa9XV1Tnrjx8/bjIyMsw111xjSktLTWFhofH5fGb27NlOTSAQMB6Px9x2222mrKzM/OlPfzJxcXHmX/7lX3pED1577TWTkJBgVq1aZfbs2WM++eQT8+qrr4ZNDxoaGoJeo6qqytx9993mwgsvNC0tLWHRA2OMufjii83f/d3fmf/5n/8xe/fuNTNnzjQxMTGmqqoqLHpw6NAhk5CQYO655x7zySefmI8++shkZWWZm2++2XmOc9mDrurD8uXLTV5ensnLyzOSTE1NTZvXue6660xGRobZunWr2bp1q8nIyDATJ07sFn04Wz14+OGHzbJly8z9999v3G53m/Xn+r3QWd0u3FubO3eu+Zu/+Rvnf7bGGFNRUWEGDBhgdu3aZS644IKg/4BHjhwxffr0Mfn5+c7YoUOHTK9evczbb7/tjLXerrUNGzaYXr16mUOHDjljf/zjH01UVJQJBALGGGOefvpp43a7zXfffefU5OXlGZ/PF7S/Z+qn6EFTU5MZMGCAee655zp8Xdt70FpjY6NJSUkxjz32mDNmew+++uorI8m8//77Tk1tba2RZDZt2hQWPXjmmWdMSkqKaW5udmp27NhhJJlPP/202/XgdPrwY5s3b2432D7++GMjyWzbts0Z+/DDD40k88knnxhjulcffooe/NjatWvbDffu1IOT6Xan5X+ssbFRL730ku666y7nB2JaWlo0bdo0/eM//qMuu+yyNtuUlJSoqalJ48aNc8Z8Pp8yMjK0devWoNolS5YoKSlJV1xxhR5//PGg0yoffvihMjIy5PP5nLHx48eroaFBJSUlTs3IkSODvvRg/Pjxqqys1IEDB7p1D0pLS3Xo0CH16tVLV155pfr3768JEyZo9+7dYdOD1tavX6+vv/5av/71r50x23uQlJSkwYMH64UXXtCxY8d0/PhxPfPMM/J4PBo6dGhY9KChoUGRkZFBP8QRHR0tSdqyZUu36oF0en3ojA8//FBut1vDhg1zxoYPHy632+30qrv04afqQWd0lx6cSrcO9zfeeENHjhwJ+p/tkiVLFBERoXvvvbfdbfx+vyIjI5WQkBA07vF45Pf7ncdz585Vfn6+Nm/erNmzZ2vFihWaOXNm0PN4PJ6g50hISFBkZKTzPO3VnHj849c6Ez9VD/bt2ydJWrx4sf7pn/5Jf/nLX5SQkKCRI0fqm2++6fD4bOpBa2vWrNH48eODfkrY9h64XC4VFhZqx44diouL03nnnafly5fr7bffdj5vtL0H1157rfx+v5588kk1NjaqpqZGDz74oCSpqqqqw+M7Fz2QTq8PneH3+5WSktJmPCUl5aTH2FPeC12lu/TgVLr1r8KtWbNGEyZMcP5CKikp0VNPPaXS0tKQf+rVGBO0zX333ef8+5AhQ5SQkKBbbrnFmc1Lavc1Wj9P6xrzwwUToe5fR36qHrS0tEiSHnroId18882SpLVr12rgwIF69dVXNWPGjA6Pw5Ye/FhFRYXeeecd/fu//3ubdTb3wBijmTNnKiUlRR988IGio6P13HPPaeLEiSouLlb//v07PA5benDZZZfp+eef1/33369Fixapd+/euvfee+XxeNS7d29nm+7QA6lr+9Da6RxjZ2q683vhdHSHHpxKt525Hzx4UJs2bdLdd9/tjH3wwQeqrq7WoEGDFBERoYiICB08eFDz5s3ThRdeKEnyer3OX98/Vl1d3eYvqR8bPny4JOmzzz5znqf1X1g1NTVqampynqe9murqakk66Wt11k/ZgxP/07700kud9VFRUbrooov0xRdfdHh8NvXgx9auXaukpCRlZ2cHjdveg3fffVd/+ctflJ+fr6uvvlo///nP9fTTTys6OlrPP/98WPRAkqZMmSK/369Dhw7p8OHDWrx4sb766iulpaV1mx6cSR86w+v16ssvv2wz/tVXX530GHvKe6GrdIcedMpZ+WT/NDzyyCPG6/WapqYmZ+zrr782ZWVlQYvP5zMLFy50Lvg4cQHNK6+84mxXWVl50gupjDHmz3/+s5FkDh48aIz5fxdNVFZWOjX5+fltLpro27evaWhocGqeeOKJLrto4qfsQSAQMFFRUUEX1J24oOyZZ54Jix6c0NLSYtLS0sy8efPavL7tPVi/fr3p1atX0J0ixhjzs5/9zDz++ONh0YP2rFmzxsTExDgXXHWHHpxJH37sVBfU/fd//7cztm3btnYvqOuJ74XO9ODHTnVB3bl+L5xKtwz35uZmM2jQILNw4cJT1rZ3ReQ999xjBg4caDZt2mRKS0vNtddeG3Try9atW82yZcvMjh07zL59+8wrr7xifD6fyc7Odp7jxO0Oo0ePNqWlpWbTpk1m4MCBQbc7HDlyxHg8HnP77bebsrIy8/rrr5v4+Pguud3hp+6BMd9fbTpgwADzzjvvmE8++cRMnz7dpKSkmG+++SZsemCMMZs2bTKSzMcff9zmeW3vwVdffWWSkpLMpEmTzM6dO82ePXvM/PnzTZ8+fczOnTvDogfGGPOv//qvpqSkxOzZs8esXLnSREdHm6eeespZf657YMyZ96Gqqsrs2LHDPPvss84dEjt27DCHDx92aq677jozZMgQ8+GHH5oPP/zQZGZmtnsrXE99L3SmBwcPHjQ7duwwjz76qDn//PPNjh07zI4dO5w/gM91DzqrW4b7O++8YySZPXv2nLK2vf+A9fX1Zvbs2SYxMdFER0ebiRMnmi+++MJZX1JSYoYNG2bcbrc577zzzCWXXGIeeeQRc+zYsaDnOXjwoLn++utNdHS0SUxMNLNnzw66tcEYY/7617+aX/3qVyYqKsp4vV6zePHiLvnL7KfugTHfz9TnzZtnUlJSTFxcnBkzZozZtWtXUI3tPTDGmNtvv91kZWV1+Ny296C4uNiMGzfOJCYmmri4ODN8+HCzYcOGoBrbezBt2jSTmJhoIiMjzZAhQ8wLL7zQ5rnPZQ+MOfM+PPLII0ZSm2Xt2rVOzeHDh83UqVNNXFyciYuLM1OnTm0zu+3J74XO9ODOO+9st+bH99Of6/dCZ/CTrwAAWKbbXlAHAABOD+EOAIBlCHcAACxDuAMAYBnCHQAAyxDuAABYhnAHAMAyhDsAAJYh3AEAsAzhDgCAZQh3AAAsQ7gDAGCZ/x+6xIaW8aeaTgAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Import our api class\n",
     "from snowexsql.api import LayerMeasurements\n",
@@ -521,23 +101,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Available types = two_way_travel, snow_void, density, swe, depth\n",
-      "\n",
-      "Available Instruments = None, Mala 1600 MHz GPR, Mala 800 MHz GPR, pulse EKKO Pro multi-polarization 1 GHz GPR, pit ruler, mesa, magnaprobe, camera\n",
-      "\n",
-      "Available Dates = 2020-05-28, 2020-01-09, 2021-03-19, 2020-05-23, 2019-11-29, 2020-01-04, 2019-10-20, 2019-11-30, 2021-01-28, 2020-04-17, 2021-02-19, 2020-02-19, 2020-02-26, 2020-02-03, 2020-05-05, 2019-10-05, 2019-12-29, 2020-06-02, 2019-10-28, 2020-01-30, 2020-05-22, 2020-03-09, 2019-12-09, 2019-12-28, 2020-02-24, 2020-03-17, 2021-03-18, 2020-04-01, 2020-05-14, 2019-10-14, 2019-10-29, 2019-10-02, 2020-01-31, 2020-04-18, 2020-04-26, 2019-10-12, 2020-04-29, 2021-03-03, 2020-02-23, 2021-01-15, 2020-01-22, 2020-01-01, 2019-11-21, 2020-05-10, 2023-03-13, 2020-02-12, 2019-11-19, 2020-05-06, 2019-10-25, 2019-11-02, 2020-02-08, 2020-04-14, 2020-04-02, 2019-11-16, 2020-04-07, 2021-03-21, 2021-04-21, 2023-03-15, 2020-11-25, 2019-12-27, 2019-10-01, 2021-01-27, 2020-04-16, 2020-06-08, 2019-12-13, 2019-10-17, 2019-10-22, 2021-01-22, 2020-04-21, 2020-01-03, 2019-12-12, 2019-12-08, 2021-03-05, 2020-01-25, 2020-02-29, 2019-11-24, 2019-10-18, 2021-03-04, 2021-03-24, 2021-03-16, 2020-05-09, 2020-03-22, 2019-11-06, 2019-12-16, 2020-01-15, 2019-11-22, 2019-10-13, 2019-11-10, 2019-12-06, 2020-02-04, 2019-10-31, 2020-03-07, 2020-04-06, 2020-05-03, 2019-12-10, 2020-05-26, 2019-12-02, 2021-02-09, 2020-02-14, 2020-02-13, 2020-05-11, 2019-12-01, 2020-01-19, 2019-11-28, 2020-01-17, 2019-12-17, 2021-02-17, 2021-01-07, 2021-03-31, 2019-12-25, 2019-12-14, 2019-10-24, 2020-03-11, 2020-02-01, 2021-03-23, 2020-02-09, 2020-05-12, 2020-05-25, 2020-03-29, 2020-04-24, 2019-12-11, 2020-01-10, 2020-06-05, 2019-10-10, 2020-11-20, 2020-04-13, 2020-03-23, 2020-04-23, 2020-05-24, 2019-11-08, 2021-05-05, 2019-12-26, 2019-12-15, 2021-04-06, 2020-05-07, 2021-01-20, 2020-02-28, 2019-11-03, 2020-04-04, 2019-11-27, 2021-01-14, 2020-03-15, 2019-11-23, 2020-01-16, 2023-03-14, 2019-10-08, 2019-11-14, 2020-02-15, 2020-02-11, 2023-03-12, 2019-11-13, 2020-04-30, 2019-10-26, 2020-03-06, 2021-03-17, 2020-05-31, 2020-03-04, 2021-02-24, 2019-10-04, 2020-05-16, 2020-04-03, 2019-10-06, 2019-10-09, 2021-02-25, 2020-03-12, 2019-11-12, 2019-11-01, 2020-03-10, 2019-10-30, 2020-02-21, 2020-12-17, 2023-03-07, 2020-06-01, 2020-03-20, 2020-03-03, 2019-11-07, 2020-01-06, 2019-12-22, 2021-02-11, 2020-01-11, 2019-11-11, 2019-11-05, 2020-01-13, 2023-03-16, 2019-12-18, 2019-12-30, 2020-05-04, 2020-04-20, 2021-04-14, 2023-03-09, 2023-03-08, 2020-02-22, 2020-05-08, 2019-12-24, 2020-12-18, 2020-01-24, 2020-04-22, 2019-11-04, 2020-03-31, 2020-01-08, 2020-02-06, 2021-02-18, 2020-03-05, 2021-05-27, 2020-03-14, 2021-02-04, 2020-06-09, 2021-01-21, 2020-02-20, 2020-11-23, 2020-04-05, 2020-06-03, 2019-10-16, 2021-05-07, 2020-04-15, 2021-01-26, 2019-12-03, 2020-05-30, 2019-11-09, 2021-02-16, 2020-04-28, 2020-01-12, 2020-05-20, 2023-03-10, 2020-05-02, 2020-02-05, 2020-01-28, 2020-01-21, 2019-12-19, 2019-10-07, 2020-03-28, 2020-02-10, 2021-04-28, 2020-03-02, 2019-09-29, 2019-11-15, 2020-01-02, 2020-05-27, 2020-02-18, 2019-10-11, 2019-12-21, 2019-09-30, 2021-03-10, 2020-04-09, 2020-01-05, 2019-10-27, 2020-04-10, 2021-04-23, 2020-03-16, 2020-03-21, 2020-02-02, 2020-02-25, 2020-04-08, 2020-01-29, 2019-12-04, 2021-03-22, 2021-02-10, 2021-02-03, 2019-11-26, 2020-03-19, 2020-01-20, 2019-12-31, 2020-02-27, 2020-03-30, 2020-04-25, 2020-01-26, 2020-01-14, 2020-12-08, 2020-03-01, 2020-02-17, 2020-05-21, 2019-10-23, 2021-03-02, 2020-04-11, 2019-10-21, 2020-12-16, 2019-11-25, 2020-04-12, 2020-03-13, 2020-05-01, 2021-05-20, 2020-03-08, 2021-01-13, 2020-05-19, 2020-03-27, 2019-11-17, 2020-04-19, 2020-01-23, 2020-05-15, 2021-02-23, 2020-02-16, 2019-10-19, 2020-05-29, 2020-03-24, 2019-12-07, 2020-02-07, 2020-03-18, 2020-05-17, 2020-05-13, 2019-12-20, 2019-12-23, 2020-06-07, 2020-01-07, 2020-05-18, 2021-05-17, 2021-04-07, 2019-12-05, 2019-11-20, 2020-06-06, 2020-12-09, 2023-03-11, 2021-02-02, 2019-11-18, 2020-06-10, 2020-01-27, 2020-11-16, 2020-01-18, 2020-06-04, 2020-04-27, 2019-10-15, 2020-12-01, 2020-03-25, 2020-03-26, 2019-10-03, 2021-03-09\n",
-      "\n",
-      "Available sites = American River Basin, Central Ag Research Center, Senator Beck, Fairbanks, None, Fraser Experimental Forest, Boise River Basin, Little Cottonwood Canyon, North Slope, East River, Jemez River, Grand Mesa, Cameron Pass, Sagehen Creek, Mammoth Lakes, Niwot Ridge\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from snowexsql.api import PointMeasurements\n",
     "\n",
@@ -573,32 +139,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[datetime.date(2020, 2, 4),\n",
-       " datetime.date(2020, 2, 3),\n",
-       " datetime.date(2020, 1, 30),\n",
-       " datetime.date(2020, 2, 1),\n",
-       " datetime.date(2020, 2, 6),\n",
-       " datetime.date(2020, 1, 31),\n",
-       " datetime.date(2020, 2, 12),\n",
-       " datetime.date(2020, 2, 8),\n",
-       " datetime.date(2020, 2, 5),\n",
-       " datetime.date(2020, 1, 28),\n",
-       " datetime.date(2020, 2, 11),\n",
-       " datetime.date(2020, 2, 10),\n",
-       " datetime.date(2020, 1, 29)]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# import layer measurements\n",
     "from snowexsql.api import LayerMeasurements\n",
@@ -620,397 +163,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
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-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>version_number</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>value</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "      <th>northing</th>\n",
-       "      <th>easting</th>\n",
-       "      <th>elevation</th>\n",
-       "      <th>utm_zone</th>\n",
-       "      <th>geom</th>\n",
-       "      <th>...</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>observers</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.15</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133808</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.544468</td>\n",
-       "      <td>3152.20</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.544 4323977.677)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316397</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.39</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133808</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.544468</td>\n",
-       "      <td>3152.21</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.544 4323977.677)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316398</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.39</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133808</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.544468</td>\n",
-       "      <td>3152.22</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.544 4323977.677)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316399</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.39</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133808</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.544468</td>\n",
-       "      <td>3152.23</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.544 4323977.677)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316400</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.39</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133808</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.544468</td>\n",
-       "      <td>3152.24</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.544 4323977.677)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316401</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>95</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.39</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133812</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.251152</td>\n",
-       "      <td>3152.90</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.251 4323977.635)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316492</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>96</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.39</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133812</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.251152</td>\n",
-       "      <td>3152.90</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.251 4323977.635)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316493</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>97</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.39</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133812</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.251152</td>\n",
-       "      <td>3152.90</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.251 4323977.635)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316494</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.39</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133812</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.251152</td>\n",
-       "      <td>3152.90</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.251 4323977.635)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316495</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>99</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>8.39</td>\n",
-       "      <td>39.02966</td>\n",
-       "      <td>-108.133812</td>\n",
-       "      <td>4.323978e+06</td>\n",
-       "      <td>748106.251152</td>\n",
-       "      <td>3152.90</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (748106.251 4323977.635)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-07 20:15:55.070109+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>4316496</td>\n",
-       "      <td>https://doi.org/10.5067/WE9GI1GVMQF6</td>\n",
-       "      <td>2022-07-07</td>\n",
-       "      <td>Mala 800 MHz GPR</td>\n",
-       "      <td>two_way_travel</td>\n",
-       "      <td>ns</td>\n",
-       "      <td>Ryan Webb</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>100 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   version_number equipment  value  latitude   longitude      northing  \\\n",
-       "0            None      None   8.15  39.02966 -108.133808  4.323978e+06   \n",
-       "1            None      None   8.39  39.02966 -108.133808  4.323978e+06   \n",
-       "2            None      None   8.39  39.02966 -108.133808  4.323978e+06   \n",
-       "3            None      None   8.39  39.02966 -108.133808  4.323978e+06   \n",
-       "4            None      None   8.39  39.02966 -108.133808  4.323978e+06   \n",
-       "..            ...       ...    ...       ...         ...           ...   \n",
-       "95           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
-       "96           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
-       "97           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
-       "98           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
-       "99           None      None   8.39  39.02966 -108.133812  4.323978e+06   \n",
-       "\n",
-       "          easting  elevation  utm_zone                            geom  ...  \\\n",
-       "0   748106.544468    3152.20        12  POINT (748106.544 4323977.677)  ...   \n",
-       "1   748106.544468    3152.21        12  POINT (748106.544 4323977.677)  ...   \n",
-       "2   748106.544468    3152.22        12  POINT (748106.544 4323977.677)  ...   \n",
-       "3   748106.544468    3152.23        12  POINT (748106.544 4323977.677)  ...   \n",
-       "4   748106.544468    3152.24        12  POINT (748106.544 4323977.677)  ...   \n",
-       "..            ...        ...       ...                             ...  ...   \n",
-       "95  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
-       "96  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
-       "97  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
-       "98  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
-       "99  748106.251152    3152.90        12  POINT (748106.251 4323977.635)  ...   \n",
-       "\n",
-       "          date                     time_created time_updated       id  \\\n",
-       "0   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316397   \n",
-       "1   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316398   \n",
-       "2   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316399   \n",
-       "3   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316400   \n",
-       "4   2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316401   \n",
-       "..         ...                              ...          ...      ...   \n",
-       "95  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316492   \n",
-       "96  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316493   \n",
-       "97  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316494   \n",
-       "98  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316495   \n",
-       "99  2020-01-28 2022-07-07 20:15:55.070109+00:00         None  4316496   \n",
-       "\n",
-       "                                     doi date_accessed        instrument  \\\n",
-       "0   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "1   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "2   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "3   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "4   https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "..                                   ...           ...               ...   \n",
-       "95  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "96  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "97  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "98  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "99  https://doi.org/10.5067/WE9GI1GVMQF6    2022-07-07  Mala 800 MHz GPR   \n",
-       "\n",
-       "              type units  observers  \n",
-       "0   two_way_travel    ns  Ryan Webb  \n",
-       "1   two_way_travel    ns  Ryan Webb  \n",
-       "2   two_way_travel    ns  Ryan Webb  \n",
-       "3   two_way_travel    ns  Ryan Webb  \n",
-       "4   two_way_travel    ns  Ryan Webb  \n",
-       "..             ...   ...        ...  \n",
-       "95  two_way_travel    ns  Ryan Webb  \n",
-       "96  two_way_travel    ns  Ryan Webb  \n",
-       "97  two_way_travel    ns  Ryan Webb  \n",
-       "98  two_way_travel    ns  Ryan Webb  \n",
-       "99  two_way_travel    ns  Ryan Webb  \n",
-       "\n",
-       "[100 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Import PointMeasurements\n",
     "from snowexsql.api import PointMeasurements\n",
@@ -1037,384 +192,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>depth</th>\n",
-       "      <th>site_id</th>\n",
-       "      <th>pit_id</th>\n",
-       "      <th>bottom_depth</th>\n",
-       "      <th>comments</th>\n",
-       "      <th>sample_a</th>\n",
-       "      <th>sample_b</th>\n",
-       "      <th>sample_c</th>\n",
-       "      <th>value</th>\n",
-       "      <th>flags</th>\n",
-       "      <th>...</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>observers</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>91.0</td>\n",
-       "      <td>2C12</td>\n",
-       "      <td>COGM2C12_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>45.02</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407735</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>reflectance</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>86.0</td>\n",
-       "      <td>2C12</td>\n",
-       "      <td>COGM2C12_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>39.82</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407736</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>reflectance</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>81.0</td>\n",
-       "      <td>2C12</td>\n",
-       "      <td>COGM2C12_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>37.85</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407737</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>reflectance</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>76.0</td>\n",
-       "      <td>2C12</td>\n",
-       "      <td>COGM2C12_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>35.11</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407738</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>reflectance</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>71.0</td>\n",
-       "      <td>2C12</td>\n",
-       "      <td>COGM2C12_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>34.86</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.019334+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407739</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>reflectance</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>95</th>\n",
-       "      <td>72.0</td>\n",
-       "      <td>2C13</td>\n",
-       "      <td>COGM2C13_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>40.5</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407830</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>96</th>\n",
-       "      <td>67.0</td>\n",
-       "      <td>2C13</td>\n",
-       "      <td>COGM2C13_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>22.6</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407831</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>97</th>\n",
-       "      <td>62.0</td>\n",
-       "      <td>2C13</td>\n",
-       "      <td>COGM2C13_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>26.6</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407832</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>57.0</td>\n",
-       "      <td>2C13</td>\n",
-       "      <td>COGM2C13_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>24.3</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407833</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>99</th>\n",
-       "      <td>52.0</td>\n",
-       "      <td>2C13</td>\n",
-       "      <td>COGM2C13_20200212</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>26.0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-12</td>\n",
-       "      <td>2024-08-15 20:03:26.225144+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2407834</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>specific_surface_area</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>100 rows × 29 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    depth site_id             pit_id bottom_depth comments sample_a sample_b  \\\n",
-       "0    91.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
-       "1    86.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
-       "2    81.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
-       "3    76.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
-       "4    71.0    2C12  COGM2C12_20200212         None     None     None     None   \n",
-       "..    ...     ...                ...          ...      ...      ...      ...   \n",
-       "95   72.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
-       "96   67.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
-       "97   62.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
-       "98   57.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
-       "99   52.0    2C13  COGM2C13_20200212         None     None     None     None   \n",
-       "\n",
-       "   sample_c  value flags  ...        date                     time_created  \\\n",
-       "0      None  45.02  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
-       "1      None  39.82  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
-       "2      None  37.85  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
-       "3      None  35.11  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
-       "4      None  34.86  None  ...  2020-02-12 2024-08-15 20:03:26.019334+00:00   \n",
-       "..      ...    ...   ...  ...         ...                              ...   \n",
-       "95     None   40.5  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
-       "96     None   22.6  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
-       "97     None   26.6  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
-       "98     None   24.3  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
-       "99     None   26.0  None  ...  2020-02-12 2024-08-15 20:03:26.225144+00:00   \n",
-       "\n",
-       "    time_updated       id                                   doi  \\\n",
-       "0           None  2407735  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "1           None  2407736  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "2           None  2407737  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "3           None  2407738  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "4           None  2407739  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "..           ...      ...                                   ...   \n",
-       "95          None  2407830  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "96          None  2407831  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "97          None  2407832  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "98          None  2407833  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "99          None  2407834  https://doi.org/10.5067/SNMM6NGGKWIT   \n",
-       "\n",
-       "    date_accessed     instrument                   type units  observers  \n",
-       "0      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "1      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "2      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "3      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "4      2022-06-30  IS3-SP-11-01F            reflectance  None  Kate Hale  \n",
-       "..            ...            ...                    ...   ...        ...  \n",
-       "95     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
-       "96     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
-       "97     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
-       "98     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
-       "99     2022-06-30  IS3-SP-11-01F  specific_surface_area  None  Kate Hale  \n",
-       "\n",
-       "[100 rows x 29 columns]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Import layer measurements\n",
     "from snowexsql.api import LayerMeasurements\n",
@@ -1442,397 +222,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>version_number</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>value</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "      <th>northing</th>\n",
-       "      <th>easting</th>\n",
-       "      <th>elevation</th>\n",
-       "      <th>utm_zone</th>\n",
-       "      <th>geom</th>\n",
-       "      <th>...</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>observers</th>\n",
-       "    </tr>\n",
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-       "      <th>0</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>101.096736</td>\n",
-       "      <td>39.034358</td>\n",
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-       "      <td>743146.962029</td>\n",
-       "      <td>None</td>\n",
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-       "      <td>POINT (743146.962 4324344.879)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320356</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>101.096736</td>\n",
-       "      <td>39.034358</td>\n",
-       "      <td>-108.190907</td>\n",
-       "      <td>4.324345e+06</td>\n",
-       "      <td>743146.933029</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743146.933 4324344.839)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320357</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>103.532801</td>\n",
-       "      <td>39.034350</td>\n",
-       "      <td>-108.190913</td>\n",
-       "      <td>4.324344e+06</td>\n",
-       "      <td>743146.462029</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743146.462 4324343.986)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320378</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>104.750834</td>\n",
-       "      <td>39.034350</td>\n",
-       "      <td>-108.190913</td>\n",
-       "      <td>4.324344e+06</td>\n",
-       "      <td>743146.454029</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743146.454 4324343.945)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320379</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>104.750834</td>\n",
-       "      <td>39.034350</td>\n",
-       "      <td>-108.190913</td>\n",
-       "      <td>4.324344e+06</td>\n",
-       "      <td>743146.447029</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743146.447 4324343.904)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320380</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>95</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>109.622966</td>\n",
-       "      <td>39.034313</td>\n",
-       "      <td>-108.190909</td>\n",
-       "      <td>4.324340e+06</td>\n",
-       "      <td>743146.897029</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743146.897 4324339.877)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320471</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>96</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>109.622966</td>\n",
-       "      <td>39.034313</td>\n",
-       "      <td>-108.190909</td>\n",
-       "      <td>4.324340e+06</td>\n",
-       "      <td>743146.915029</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743146.915 4324339.839)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320472</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>97</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>108.404933</td>\n",
-       "      <td>39.034313</td>\n",
-       "      <td>-108.190909</td>\n",
-       "      <td>4.324340e+06</td>\n",
-       "      <td>743146.934029</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743146.934 4324339.802)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320473</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>98</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>108.404933</td>\n",
-       "      <td>39.034312</td>\n",
-       "      <td>-108.190909</td>\n",
-       "      <td>4.324340e+06</td>\n",
-       "      <td>743146.953029</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743146.953 4324339.764)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320474</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>99</th>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>108.404933</td>\n",
-       "      <td>39.034312</td>\n",
-       "      <td>-108.190909</td>\n",
-       "      <td>4.324340e+06</td>\n",
-       "      <td>743146.971029</td>\n",
-       "      <td>None</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (743146.971 4324339.727)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-07-05 16:45:41.402741+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>1320475</td>\n",
-       "      <td>https://doi.org/10.5067/Q2LFK0QSVGS2</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pulse EKKO Pro multi-polarization 1 GHz GPR</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>Tate Meehan</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>100 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   version_number equipment       value   latitude   longitude      northing  \\\n",
-       "0            None      None  101.096736  39.034358 -108.190907  4.324345e+06   \n",
-       "1            None      None  101.096736  39.034358 -108.190907  4.324345e+06   \n",
-       "2            None      None  103.532801  39.034350 -108.190913  4.324344e+06   \n",
-       "3            None      None  104.750834  39.034350 -108.190913  4.324344e+06   \n",
-       "4            None      None  104.750834  39.034350 -108.190913  4.324344e+06   \n",
-       "..            ...       ...         ...        ...         ...           ...   \n",
-       "95           None      None  109.622966  39.034313 -108.190909  4.324340e+06   \n",
-       "96           None      None  109.622966  39.034313 -108.190909  4.324340e+06   \n",
-       "97           None      None  108.404933  39.034313 -108.190909  4.324340e+06   \n",
-       "98           None      None  108.404933  39.034312 -108.190909  4.324340e+06   \n",
-       "99           None      None  108.404933  39.034312 -108.190909  4.324340e+06   \n",
-       "\n",
-       "          easting elevation  utm_zone                            geom  ...  \\\n",
-       "0   743146.962029      None        12  POINT (743146.962 4324344.879)  ...   \n",
-       "1   743146.933029      None        12  POINT (743146.933 4324344.839)  ...   \n",
-       "2   743146.462029      None        12  POINT (743146.462 4324343.986)  ...   \n",
-       "3   743146.454029      None        12  POINT (743146.454 4324343.945)  ...   \n",
-       "4   743146.447029      None        12  POINT (743146.447 4324343.904)  ...   \n",
-       "..            ...       ...       ...                             ...  ...   \n",
-       "95  743146.897029      None        12  POINT (743146.897 4324339.877)  ...   \n",
-       "96  743146.915029      None        12  POINT (743146.915 4324339.839)  ...   \n",
-       "97  743146.934029      None        12  POINT (743146.934 4324339.802)  ...   \n",
-       "98  743146.953029      None        12  POINT (743146.953 4324339.764)  ...   \n",
-       "99  743146.971029      None        12  POINT (743146.971 4324339.727)  ...   \n",
-       "\n",
-       "          date                     time_created time_updated       id  \\\n",
-       "0   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320356   \n",
-       "1   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320357   \n",
-       "2   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320378   \n",
-       "3   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320379   \n",
-       "4   2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320380   \n",
-       "..         ...                              ...          ...      ...   \n",
-       "95  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320471   \n",
-       "96  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320472   \n",
-       "97  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320473   \n",
-       "98  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320474   \n",
-       "99  2020-01-28 2022-07-05 16:45:41.402741+00:00         None  1320475   \n",
-       "\n",
-       "                                     doi date_accessed  \\\n",
-       "0   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "1   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "2   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "3   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "4   https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "..                                   ...           ...   \n",
-       "95  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "96  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "97  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "98  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "99  https://doi.org/10.5067/Q2LFK0QSVGS2    2022-06-30   \n",
-       "\n",
-       "                                     instrument   type units    observers  \n",
-       "0   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "1   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "2   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "3   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "4   pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "..                                          ...    ...   ...          ...  \n",
-       "95  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "96  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "97  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "98  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "99  pulse EKKO Pro multi-polarization 1 GHz GPR  depth    cm  Tate Meehan  \n",
-       "\n",
-       "[100 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Import the point measurements class\n",
     "from snowexsql.api import PointMeasurements\n",
diff --git a/book/tutorials/snowex_database/4_get_spiral_example.ipynb b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
index 45d9140..6560e4d 100644
--- a/book/tutorials/snowex_database/4_get_spiral_example.ipynb
+++ b/book/tutorials/snowex_database/4_get_spiral_example.ipynb
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,104 +43,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>depth</th>\n",
-       "      <th>site_id</th>\n",
-       "      <th>pit_id</th>\n",
-       "      <th>bottom_depth</th>\n",
-       "      <th>comments</th>\n",
-       "      <th>sample_a</th>\n",
-       "      <th>sample_b</th>\n",
-       "      <th>sample_c</th>\n",
-       "      <th>value</th>\n",
-       "      <th>flags</th>\n",
-       "      <th>...</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>observers</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>67.0</td>\n",
-       "      <td>1N1</td>\n",
-       "      <td>COGM1N1_20200208</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>-7.5</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
-       "      <td>2024-08-15 19:56:43.640672+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2367521</td>\n",
-       "      <td>https://doi.org/10.5067/DUD2VZEVBJ7S</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>None</td>\n",
-       "      <td>temperature</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1 rows × 29 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   depth site_id            pit_id bottom_depth comments sample_a sample_b  \\\n",
-       "0   67.0     1N1  COGM1N1_20200208         None     None     None     None   \n",
-       "\n",
-       "  sample_c value flags  ...        date                     time_created  \\\n",
-       "0     None  -7.5  None  ...  2020-02-08 2024-08-15 19:56:43.640672+00:00   \n",
-       "\n",
-       "   time_updated       id                                   doi  date_accessed  \\\n",
-       "0          None  2367521  https://doi.org/10.5067/DUD2VZEVBJ7S     2022-06-30   \n",
-       "\n",
-       "  instrument         type units observers  \n",
-       "0       None  temperature  None      None  \n",
-       "\n",
-       "[1 rows x 29 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Pick the first one we find\n",
     "site_id = LayerMeasurements().all_site_ids[0]\n",
@@ -161,397 +66,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>version_number</th>\n",
-       "      <th>equipment</th>\n",
-       "      <th>value</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "      <th>northing</th>\n",
-       "      <th>easting</th>\n",
-       "      <th>elevation</th>\n",
-       "      <th>utm_zone</th>\n",
-       "      <th>geom</th>\n",
-       "      <th>...</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>observers</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>81.0</td>\n",
-       "      <td>39.03636</td>\n",
-       "      <td>-108.22098</td>\n",
-       "      <td>4.324487e+06</td>\n",
-       "      <td>740536.699426</td>\n",
-       "      <td>3030.000000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740536.699 4324487.049)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>5552</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>96.0</td>\n",
-       "      <td>39.03636</td>\n",
-       "      <td>-108.22097</td>\n",
-       "      <td>4.324487e+06</td>\n",
-       "      <td>740537.565112</td>\n",
-       "      <td>3030.000000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740537.565 4324487.075)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>5553</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>93.0</td>\n",
-       "      <td>39.03637</td>\n",
-       "      <td>-108.22095</td>\n",
-       "      <td>4.324488e+06</td>\n",
-       "      <td>740539.262551</td>\n",
-       "      <td>3029.700000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740539.263 4324488.238)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>5554</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>88.0</td>\n",
-       "      <td>39.03637</td>\n",
-       "      <td>-108.22092</td>\n",
-       "      <td>4.324488e+06</td>\n",
-       "      <td>740541.859610</td>\n",
-       "      <td>3032.000000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740541.860 4324488.318)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>5555</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_C</td>\n",
-       "      <td>98.0</td>\n",
-       "      <td>39.03638</td>\n",
-       "      <td>-108.22110</td>\n",
-       "      <td>4.324489e+06</td>\n",
-       "      <td>740526.243320</td>\n",
-       "      <td>3028.000000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740526.243 4324488.951)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-01-28</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>5594</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>387</th>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_A</td>\n",
-       "      <td>101.0</td>\n",
-       "      <td>39.03427</td>\n",
-       "      <td>-108.21925</td>\n",
-       "      <td>4.324260e+06</td>\n",
-       "      <td>740693.559835</td>\n",
-       "      <td>3031.700000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740693.560 4324259.641)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-11</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>33950</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>388</th>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_A</td>\n",
-       "      <td>105.0</td>\n",
-       "      <td>39.03434</td>\n",
-       "      <td>-108.21924</td>\n",
-       "      <td>4.324267e+06</td>\n",
-       "      <td>740694.187866</td>\n",
-       "      <td>3031.000000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740694.188 4324267.437)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-11</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>33951</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>389</th>\n",
-       "      <td>1</td>\n",
-       "      <td>CRREL_A</td>\n",
-       "      <td>107.0</td>\n",
-       "      <td>39.03436</td>\n",
-       "      <td>-108.21924</td>\n",
-       "      <td>4.324270e+06</td>\n",
-       "      <td>740694.119957</td>\n",
-       "      <td>3031.000000</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740694.120 4324269.657)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-11</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>33952</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>magnaprobe</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>390</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>67.0</td>\n",
-       "      <td>39.03462</td>\n",
-       "      <td>-108.22145</td>\n",
-       "      <td>4.324293e+06</td>\n",
-       "      <td>740501.915674</td>\n",
-       "      <td>3029.909912</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740501.916 4324292.667)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-08</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41832</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>391</th>\n",
-       "      <td>1</td>\n",
-       "      <td>ruler</td>\n",
-       "      <td>112.0</td>\n",
-       "      <td>39.03441</td>\n",
-       "      <td>-108.21963</td>\n",
-       "      <td>4.324274e+06</td>\n",
-       "      <td>740660.187468</td>\n",
-       "      <td>3028.929932</td>\n",
-       "      <td>12</td>\n",
-       "      <td>POINT (740660.187 4324274.175)</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-11</td>\n",
-       "      <td>2022-06-30 22:56:52.635035+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>41907</td>\n",
-       "      <td>https://doi.org/10.5067/9IA978JIACAR</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>pit ruler</td>\n",
-       "      <td>depth</td>\n",
-       "      <td>cm</td>\n",
-       "      <td>None</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>392 rows × 23 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "     version_number equipment  value  latitude  longitude      northing  \\\n",
-       "0                 1   CRREL_C   81.0  39.03636 -108.22098  4.324487e+06   \n",
-       "1                 1   CRREL_C   96.0  39.03636 -108.22097  4.324487e+06   \n",
-       "2                 1   CRREL_C   93.0  39.03637 -108.22095  4.324488e+06   \n",
-       "3                 1   CRREL_C   88.0  39.03637 -108.22092  4.324488e+06   \n",
-       "4                 1   CRREL_C   98.0  39.03638 -108.22110  4.324489e+06   \n",
-       "..              ...       ...    ...       ...        ...           ...   \n",
-       "387               1   CRREL_A  101.0  39.03427 -108.21925  4.324260e+06   \n",
-       "388               1   CRREL_A  105.0  39.03434 -108.21924  4.324267e+06   \n",
-       "389               1   CRREL_A  107.0  39.03436 -108.21924  4.324270e+06   \n",
-       "390               1     ruler   67.0  39.03462 -108.22145  4.324293e+06   \n",
-       "391               1     ruler  112.0  39.03441 -108.21963  4.324274e+06   \n",
-       "\n",
-       "           easting    elevation  utm_zone                            geom  \\\n",
-       "0    740536.699426  3030.000000        12  POINT (740536.699 4324487.049)   \n",
-       "1    740537.565112  3030.000000        12  POINT (740537.565 4324487.075)   \n",
-       "2    740539.262551  3029.700000        12  POINT (740539.263 4324488.238)   \n",
-       "3    740541.859610  3032.000000        12  POINT (740541.860 4324488.318)   \n",
-       "4    740526.243320  3028.000000        12  POINT (740526.243 4324488.951)   \n",
-       "..             ...          ...       ...                             ...   \n",
-       "387  740693.559835  3031.700000        12  POINT (740693.560 4324259.641)   \n",
-       "388  740694.187866  3031.000000        12  POINT (740694.188 4324267.437)   \n",
-       "389  740694.119957  3031.000000        12  POINT (740694.120 4324269.657)   \n",
-       "390  740501.915674  3029.909912        12  POINT (740501.916 4324292.667)   \n",
-       "391  740660.187468  3028.929932        12  POINT (740660.187 4324274.175)   \n",
-       "\n",
-       "     ...        date                     time_created time_updated     id  \\\n",
-       "0    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5552   \n",
-       "1    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5553   \n",
-       "2    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5554   \n",
-       "3    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5555   \n",
-       "4    ...  2020-01-28 2022-06-30 22:56:52.635035+00:00         None   5594   \n",
-       "..   ...         ...                              ...          ...    ...   \n",
-       "387  ...  2020-02-11 2022-06-30 22:56:52.635035+00:00         None  33950   \n",
-       "388  ...  2020-02-11 2022-06-30 22:56:52.635035+00:00         None  33951   \n",
-       "389  ...  2020-02-11 2022-06-30 22:56:52.635035+00:00         None  33952   \n",
-       "390  ...  2020-02-08 2022-06-30 22:56:52.635035+00:00         None  41832   \n",
-       "391  ...  2020-02-11 2022-06-30 22:56:52.635035+00:00         None  41907   \n",
-       "\n",
-       "                                      doi date_accessed  instrument   type  \\\n",
-       "0    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "1    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "2    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "3    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "4    https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "..                                    ...           ...         ...    ...   \n",
-       "387  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "388  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "389  https://doi.org/10.5067/9IA978JIACAR    2022-06-30  magnaprobe  depth   \n",
-       "390  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "391  https://doi.org/10.5067/9IA978JIACAR    2022-06-30   pit ruler  depth   \n",
-       "\n",
-       "    units observers  \n",
-       "0      cm      None  \n",
-       "1      cm      None  \n",
-       "2      cm      None  \n",
-       "3      cm      None  \n",
-       "4      cm      None  \n",
-       "..    ...       ...  \n",
-       "387    cm      None  \n",
-       "388    cm      None  \n",
-       "389    cm      None  \n",
-       "390    cm      None  \n",
-       "391    cm      None  \n",
-       "\n",
-       "[392 rows x 23 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# We import the points measurements because snow depths is a single value at single location and date\n",
     "from snowexsql.api import PointMeasurements \n",
@@ -570,35 +87,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {
     "tags": [
      "nbsphinx-gallery",
      "nbsphinx-thumbnail"
     ]
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(128.66274298237227, 0.5, 'Northing [m]')"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Get the Matplotlib Axes object from the dataframe object, color the points by snow depth value\n",
     "ax = df.plot(column='value', legend=True, cmap='PuBu')\n",
diff --git a/book/tutorials/snowex_database/5_plot_raster_example.ipynb b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
index 1df1611..283d1ee 100644
--- a/book/tutorials/snowex_database/5_plot_raster_example.ipynb
+++ b/book/tutorials/snowex_database/5_plot_raster_example.ipynb
@@ -17,21 +17,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "type object 'RasterMeasurements' has no attribute 'from_filter'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[1], line 10\u001b[0m\n\u001b[1;32m      7\u001b[0m dt \u001b[38;5;241m=\u001b[39m datetime(\u001b[38;5;241m2020\u001b[39m, \u001b[38;5;241m2\u001b[39m, \u001b[38;5;241m13\u001b[39m)\n\u001b[1;32m      9\u001b[0m \u001b[38;5;66;03m# Query db filtering to swe on a certain date surveyed by ASO\u001b[39;00m\n\u001b[0;32m---> 10\u001b[0m ds \u001b[38;5;241m=\u001b[39m \u001b[43mRasterMeasurements\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_filter\u001b[49m(observers\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mASO Inc.\u001b[39m\u001b[38;5;124m'\u001b[39m, date\u001b[38;5;241m=\u001b[39mdt, \u001b[38;5;28mtype\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mswe\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     12\u001b[0m \u001b[38;5;66;03m# Plot it up!\u001b[39;00m\n\u001b[1;32m     13\u001b[0m show(ds[\u001b[38;5;241m0\u001b[39m], vmin\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.1\u001b[39m, vmax\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.4\u001b[39m, cmap\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwinter\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
-      "\u001b[0;31mAttributeError\u001b[0m: type object 'RasterMeasurements' has no attribute 'from_filter'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# import in the raster measurments class\n",
     "from snowexsql.api import RasterMeasurements\n",
@@ -62,122 +50,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(3.000000000007304, 3.000000000007304)\n",
-      "[datetime.date(2020, 2, 2), datetime.date(2020, 2, 13)]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>depth</th>\n",
-       "      <th>site_id</th>\n",
-       "      <th>pit_id</th>\n",
-       "      <th>bottom_depth</th>\n",
-       "      <th>comments</th>\n",
-       "      <th>sample_a</th>\n",
-       "      <th>sample_b</th>\n",
-       "      <th>sample_c</th>\n",
-       "      <th>value</th>\n",
-       "      <th>flags</th>\n",
-       "      <th>...</th>\n",
-       "      <th>date</th>\n",
-       "      <th>time_created</th>\n",
-       "      <th>time_updated</th>\n",
-       "      <th>id</th>\n",
-       "      <th>doi</th>\n",
-       "      <th>date_accessed</th>\n",
-       "      <th>instrument</th>\n",
-       "      <th>type</th>\n",
-       "      <th>units</th>\n",
-       "      <th>observers</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>68.0</td>\n",
-       "      <td>1N3</td>\n",
-       "      <td>COGM1N3_20200211</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>None</td>\n",
-       "      <td>45.83</td>\n",
-       "      <td>None</td>\n",
-       "      <td>...</td>\n",
-       "      <td>2020-02-11</td>\n",
-       "      <td>2024-08-15 20:03:41.020791+00:00</td>\n",
-       "      <td>None</td>\n",
-       "      <td>2414175</td>\n",
-       "      <td>https://doi.org/10.5067/SNMM6NGGKWIT</td>\n",
-       "      <td>2022-06-30</td>\n",
-       "      <td>IS3-SP-11-01F</td>\n",
-       "      <td>reflectance</td>\n",
-       "      <td>None</td>\n",
-       "      <td>Kate Hale</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1 rows × 29 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   depth site_id            pit_id bottom_depth comments sample_a sample_b  \\\n",
-       "0   68.0     1N3  COGM1N3_20200211         None     None     None     None   \n",
-       "\n",
-       "  sample_c  value flags  ...        date                     time_created  \\\n",
-       "0     None  45.83  None  ...  2020-02-11 2024-08-15 20:03:41.020791+00:00   \n",
-       "\n",
-       "   time_updated       id                                   doi  date_accessed  \\\n",
-       "0          None  2414175  https://doi.org/10.5067/SNMM6NGGKWIT     2022-06-30   \n",
-       "\n",
-       "      instrument         type units  observers  \n",
-       "0  IS3-SP-11-01F  reflectance  None  Kate Hale  \n",
-       "\n",
-       "[1 rows x 29 columns]"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Import in the Raster and Layer measurement classes\n",
     "from snowexsql.api import RasterMeasurements, LayerMeasurements\n",
@@ -218,17 +93,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Lidar snow depth = 0.74m\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Demo a useful function from rasterio! \n",
     "\n",
@@ -244,30 +111,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: >"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from snowexsql.api import RasterMeasurements, LayerMeasurements\n",
     "from shapely.geometry import Polygon\n",